From 403e2d58b96794727789609e41505c33374f9079 Mon Sep 17 00:00:00 2001 From: Yeuoly <45712896+Yeuoly@users.noreply.github.com> Date: Mon, 17 Feb 2025 17:05:13 +0800 Subject: [PATCH] Introduce Plugins (#13836) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: yihong0618 Signed-off-by: -LAN- Signed-off-by: xhe Signed-off-by: dependabot[bot] Co-authored-by: takatost Co-authored-by: kurokobo Co-authored-by: Novice Lee Co-authored-by: zxhlyh Co-authored-by: AkaraChen Co-authored-by: Yi Co-authored-by: Joel Co-authored-by: JzoNg Co-authored-by: twwu Co-authored-by: Hiroshi Fujita Co-authored-by: AkaraChen <85140972+AkaraChen@users.noreply.github.com> Co-authored-by: NFish Co-authored-by: Wu Tianwei <30284043+WTW0313@users.noreply.github.com> Co-authored-by: 非法操作 Co-authored-by: Novice <857526207@qq.com> Co-authored-by: Hiroki Nagai <82458324+nagaihiroki-git@users.noreply.github.com> Co-authored-by: Gen Sato 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Co-authored-by: Fei He Co-authored-by: ybalbert001 <120714773+ybalbert001@users.noreply.github.com> Co-authored-by: Yuanbo Li Co-authored-by: douxc <7553076+douxc@users.noreply.github.com> Co-authored-by: liuzhenghua <1090179900@qq.com> Co-authored-by: Wu Jiayang <62842862+Wu-Jiayang@users.noreply.github.com> Co-authored-by: Your Name Co-authored-by: kimjion <45935338+kimjion@users.noreply.github.com> Co-authored-by: AugNSo Co-authored-by: llinvokerl <38915183+llinvokerl@users.noreply.github.com> Co-authored-by: liusurong.lsr Co-authored-by: Vasu Negi Co-authored-by: Hundredwz <1808096180@qq.com> Co-authored-by: Xiyuan Chen <52963600+GareArc@users.noreply.github.com> --- .devcontainer/post_create_command.sh | 5 +- .github/workflows/api-tests.yml | 6 - .github/workflows/db-migration-test.yml | 1 + .github/workflows/style.yml | 10 +- .github/workflows/tool-test-sdks.yaml | 6 +- .../translate-i18n-base-on-english.yml | 4 +- .github/workflows/web-tests.yml | 6 +- .gitignore | 7 + 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web/i18n/ru-RU/plugin-tags.ts create mode 100644 web/i18n/ru-RU/plugin.ts rename api/core/model_runtime/model_providers/azure_openai/__init__.py => web/i18n/sl-SI/plugin-tags.ts (100%) rename api/core/model_runtime/model_providers/azure_openai/llm/__init__.py => web/i18n/sl-SI/plugin.ts (100%) create mode 100644 web/i18n/th-TH/plugin-tags.ts create mode 100644 web/i18n/th-TH/plugin.ts create mode 100644 web/i18n/tr-TR/plugin-tags.ts create mode 100644 web/i18n/tr-TR/plugin.ts create mode 100644 web/i18n/uk-UA/plugin-tags.ts create mode 100644 web/i18n/uk-UA/plugin.ts create mode 100644 web/i18n/vi-VN/plugin-tags.ts create mode 100644 web/i18n/vi-VN/plugin.ts create mode 100644 web/i18n/zh-Hans/plugin-tags.ts create mode 100644 web/i18n/zh-Hans/plugin.ts create mode 100644 web/i18n/zh-Hant/plugin-tags.ts create mode 100644 web/i18n/zh-Hant/plugin.ts create mode 100644 web/pnpm-lock.yaml create mode 100644 web/public/logo/logo.png create mode 100644 web/service/fetch.ts create mode 100644 web/service/plugins.ts create mode 100644 web/service/strategy.ts create mode 100644 web/service/use-apps.ts create mode 100644 web/service/use-common.ts create mode 100644 web/service/use-endpoints.ts create mode 100644 web/service/use-models.ts create mode 100644 web/service/use-plugins.ts create mode 100644 web/service/use-strategy.ts create mode 100644 web/service/use-tools.ts create mode 100644 web/tailwind-common-config.ts create mode 100644 web/utils/get-icon.ts create mode 100644 web/utils/semver.ts diff --git a/.devcontainer/post_create_command.sh b/.devcontainer/post_create_command.sh index e80f9d30aadc02..d879876d8adadc 100755 --- a/.devcontainer/post_create_command.sh +++ b/.devcontainer/post_create_command.sh @@ -1,11 +1,12 @@ #!/bin/bash -cd web && npm install +npm add -g pnpm@9.12.2 +cd web && pnpm install pipx install poetry echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc -echo 'alias start-web="cd /workspaces/dify/web && npm run dev"' >> ~/.bashrc +echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify down"' >> ~/.bashrc diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index b6f60127605141..b9547b645260d0 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -50,15 +50,9 @@ jobs: - name: Run Unit tests run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh - - name: Run ModelRuntime - run: poetry run -P api bash dev/pytest/pytest_model_runtime.sh - - name: Run dify config tests run: poetry run -P api python dev/pytest/pytest_config_tests.py - - name: Run Tool - run: poetry run -P api bash dev/pytest/pytest_tools.sh - - name: Run mypy run: | poetry run -C api python -m mypy --install-types --non-interactive . diff --git a/.github/workflows/db-migration-test.yml b/.github/workflows/db-migration-test.yml index 3328e4890aed04..69bff839a6f1a7 100644 --- a/.github/workflows/db-migration-test.yml +++ b/.github/workflows/db-migration-test.yml @@ -4,6 +4,7 @@ on: pull_request: branches: - main + - plugins/beta paths: - api/migrations/** - .github/workflows/db-migration-test.yml diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml index 76486b68e70b15..c795db956973e0 100644 --- a/.github/workflows/style.yml +++ b/.github/workflows/style.yml @@ -72,17 +72,23 @@ jobs: with: files: web/** + - name: Install pnpm + uses: pnpm/action-setup@v4 + with: + version: 10 + run_install: false + - name: Setup NodeJS uses: actions/setup-node@v4 if: steps.changed-files.outputs.any_changed == 'true' with: node-version: 20 - cache: yarn + cache: pnpm cache-dependency-path: ./web/package.json - name: Web dependencies if: steps.changed-files.outputs.any_changed == 'true' - run: yarn install --frozen-lockfile + run: pnpm install --frozen-lockfile - name: Web style check if: steps.changed-files.outputs.any_changed == 'true' diff --git a/.github/workflows/tool-test-sdks.yaml b/.github/workflows/tool-test-sdks.yaml index 76d8501451bbf9..d97d21c923b730 100644 --- a/.github/workflows/tool-test-sdks.yaml +++ b/.github/workflows/tool-test-sdks.yaml @@ -35,10 +35,10 @@ jobs: with: node-version: ${{ matrix.node-version }} cache: '' - cache-dependency-path: 'yarn.lock' + cache-dependency-path: 'pnpm-lock.yaml' - name: Install Dependencies - run: yarn install + run: pnpm install - name: Test - run: yarn test + run: pnpm test diff --git a/.github/workflows/translate-i18n-base-on-english.yml b/.github/workflows/translate-i18n-base-on-english.yml index c63a8f5d6c6226..80b78a13119bcf 100644 --- a/.github/workflows/translate-i18n-base-on-english.yml +++ b/.github/workflows/translate-i18n-base-on-english.yml @@ -39,11 +39,11 @@ jobs: - name: Install dependencies if: env.FILES_CHANGED == 'true' - run: yarn install --frozen-lockfile + run: pnpm install --frozen-lockfile - name: Run npm script if: env.FILES_CHANGED == 'true' - run: npm run auto-gen-i18n + run: pnpm run auto-gen-i18n - name: Create Pull Request if: env.FILES_CHANGED == 'true' diff --git a/.github/workflows/web-tests.yml b/.github/workflows/web-tests.yml index 81968d7b71789b..655b6ddb5de625 100644 --- a/.github/workflows/web-tests.yml +++ b/.github/workflows/web-tests.yml @@ -37,13 +37,13 @@ jobs: if: steps.changed-files.outputs.any_changed == 'true' with: node-version: 20 - cache: yarn + cache: pnpm cache-dependency-path: ./web/package.json - name: Install dependencies if: steps.changed-files.outputs.any_changed == 'true' - run: yarn install --frozen-lockfile + run: pnpm install --frozen-lockfile - name: Run tests if: steps.changed-files.outputs.any_changed == 'true' - run: yarn test + run: pnpm test diff --git a/.gitignore b/.gitignore index a6dad201e8affa..296aeee873406a 100644 --- a/.gitignore +++ b/.gitignore @@ -176,6 +176,7 @@ docker/volumes/pgvector/data/* docker/volumes/pgvecto_rs/data/* docker/volumes/couchbase/* docker/volumes/oceanbase/* +docker/volumes/plugin_daemon/* !docker/volumes/oceanbase/init.d docker/nginx/conf.d/default.conf @@ -194,3 +195,9 @@ api/.vscode .idea/ .vscode + +# pnpm +/.pnpm-store + +# plugin migrate +plugins.jsonl diff --git a/api/.dockerignore b/api/.dockerignore index 91a5254ea7e151..447edcda08c093 100644 --- a/api/.dockerignore +++ b/api/.dockerignore @@ -1,7 +1,10 @@ .env *.env.* +storage/generate_files/* storage/privkeys/* +storage/tools/* +storage/upload_files/* # Logs logs @@ -9,6 +12,8 @@ logs # jetbrains .idea +.mypy_cache +.ruff_cache # venv .venv \ No newline at end of file diff --git a/api/.env.example b/api/.env.example index 95da531a1d68d5..39eb7ad766eaf3 100644 --- a/api/.env.example +++ b/api/.env.example @@ -409,7 +409,6 @@ MAX_VARIABLE_SIZE=204800 APP_MAX_EXECUTION_TIME=1200 APP_MAX_ACTIVE_REQUESTS=0 - # Celery beat configuration CELERY_BEAT_SCHEDULER_TIME=1 @@ -422,6 +421,22 @@ POSITION_PROVIDER_PINS= POSITION_PROVIDER_INCLUDES= POSITION_PROVIDER_EXCLUDES= +# Plugin configuration +PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi +PLUGIN_DAEMON_URL=http://127.0.0.1:5002 +PLUGIN_REMOTE_INSTALL_PORT=5003 +PLUGIN_REMOTE_INSTALL_HOST=localhost +PLUGIN_MAX_PACKAGE_SIZE=15728640 +INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 +INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 + +# Marketplace configuration +MARKETPLACE_ENABLED=true +MARKETPLACE_API_URL=https://marketplace.dify.ai + +# Endpoint configuration +ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id} + # Reset password token expiry minutes RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5 diff --git a/api/Dockerfile b/api/Dockerfile index 2c7b3bba4a76de..0d4679b76accef 100644 --- a/api/Dockerfile +++ b/api/Dockerfile @@ -73,6 +73,10 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}" # Download nltk data RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')" +ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache + +RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')" + # Copy source code COPY . /app/api/ diff --git a/api/commands.py b/api/commands.py index 334e7daab57997..9146075cf22d95 100644 --- a/api/commands.py +++ b/api/commands.py @@ -25,6 +25,8 @@ from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation from models.provider import Provider, ProviderModel from services.account_service import RegisterService, TenantService +from services.plugin.data_migration import PluginDataMigration +from services.plugin.plugin_migration import PluginMigration @click.command("reset-password", help="Reset the account password.") @@ -524,7 +526,7 @@ def add_qdrant_doc_id_index(field: str): ) ) - except Exception as e: + except Exception: click.echo(click.style("Failed to create Qdrant client.", fg="red")) click.echo(click.style(f"Index creation complete. Created {create_count} collection indexes.", fg="green")) @@ -593,7 +595,7 @@ def upgrade_db(): click.echo(click.style("Database migration successful!", fg="green")) - except Exception as e: + except Exception: logging.exception("Failed to execute database migration") finally: lock.release() @@ -639,7 +641,7 @@ def fix_app_site_missing(): account = accounts[0] print("Fixing missing site for app {}".format(app.id)) app_was_created.send(app, account=account) - except Exception as e: + except Exception: failed_app_ids.append(app_id) click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red")) logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}") @@ -649,3 +651,68 @@ def fix_app_site_missing(): break click.echo(click.style("Fix for missing app-related sites completed successfully!", fg="green")) + + +@click.command("migrate-data-for-plugin", help="Migrate data for plugin.") +def migrate_data_for_plugin(): + """ + Migrate data for plugin. + """ + click.echo(click.style("Starting migrate data for plugin.", fg="white")) + + PluginDataMigration.migrate() + + click.echo(click.style("Migrate data for plugin completed.", fg="green")) + + +@click.command("extract-plugins", help="Extract plugins.") +@click.option("--output_file", prompt=True, help="The file to store the extracted plugins.", default="plugins.jsonl") +@click.option("--workers", prompt=True, help="The number of workers to extract plugins.", default=10) +def extract_plugins(output_file: str, workers: int): + """ + Extract plugins. + """ + click.echo(click.style("Starting extract plugins.", fg="white")) + + PluginMigration.extract_plugins(output_file, workers) + + click.echo(click.style("Extract plugins completed.", fg="green")) + + +@click.command("extract-unique-identifiers", help="Extract unique identifiers.") +@click.option( + "--output_file", + prompt=True, + help="The file to store the extracted unique identifiers.", + default="unique_identifiers.json", +) +@click.option( + "--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl" +) +def extract_unique_plugins(output_file: str, input_file: str): + """ + Extract unique plugins. + """ + click.echo(click.style("Starting extract unique plugins.", fg="white")) + + PluginMigration.extract_unique_plugins_to_file(input_file, output_file) + + click.echo(click.style("Extract unique plugins completed.", fg="green")) + + +@click.command("install-plugins", help="Install plugins.") +@click.option( + "--input_file", prompt=True, help="The file to store the extracted unique identifiers.", default="plugins.jsonl" +) +@click.option( + "--output_file", prompt=True, help="The file to store the installed plugins.", default="installed_plugins.jsonl" +) +def install_plugins(input_file: str, output_file: str): + """ + Install plugins. + """ + click.echo(click.style("Starting install plugins.", fg="white")) + + PluginMigration.install_plugins(input_file, output_file) + + click.echo(click.style("Install plugins completed.", fg="green")) diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index d791f51c434517..2af9729073c58f 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -134,6 +134,60 @@ class CodeExecutionSandboxConfig(BaseSettings): ) +class PluginConfig(BaseSettings): + """ + Plugin configs + """ + + PLUGIN_DAEMON_URL: HttpUrl = Field( + description="Plugin API URL", + default="http://localhost:5002", + ) + + PLUGIN_DAEMON_KEY: str = Field( + description="Plugin API key", + default="plugin-api-key", + ) + + INNER_API_KEY_FOR_PLUGIN: str = Field(description="Inner api key for plugin", default="inner-api-key") + + PLUGIN_REMOTE_INSTALL_HOST: str = Field( + description="Plugin Remote Install Host", + default="localhost", + ) + + PLUGIN_REMOTE_INSTALL_PORT: PositiveInt = Field( + description="Plugin Remote Install Port", + default=5003, + ) + + PLUGIN_MAX_PACKAGE_SIZE: PositiveInt = Field( + description="Maximum allowed size for plugin packages in bytes", + default=15728640, + ) + + PLUGIN_MAX_BUNDLE_SIZE: PositiveInt = Field( + description="Maximum allowed size for plugin bundles in bytes", + default=15728640 * 12, + ) + + +class MarketplaceConfig(BaseSettings): + """ + Configuration for marketplace + """ + + MARKETPLACE_ENABLED: bool = Field( + description="Enable or disable marketplace", + default=True, + ) + + MARKETPLACE_API_URL: HttpUrl = Field( + description="Marketplace API URL", + default="https://marketplace.dify.ai", + ) + + class EndpointConfig(BaseSettings): """ Configuration for various application endpoints and URLs @@ -160,6 +214,10 @@ class EndpointConfig(BaseSettings): default="", ) + ENDPOINT_URL_TEMPLATE: str = Field( + description="Template url for endpoint plugin", default="http://localhost:5002/e/{hook_id}" + ) + class FileAccessConfig(BaseSettings): """ @@ -793,6 +851,8 @@ class FeatureConfig( AuthConfig, # Changed from OAuthConfig to AuthConfig BillingConfig, CodeExecutionSandboxConfig, + PluginConfig, + MarketplaceConfig, DataSetConfig, EndpointConfig, FileAccessConfig, diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index fd3d6afb3a6feb..8473f7bad5f414 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings): CURRENT_VERSION: str = Field( description="Dify version", - default="0.15.3", + default="1.0.0", ) COMMIT_SHA: str = Field( diff --git a/api/contexts/__init__.py b/api/contexts/__init__.py index 85380b73304043..64dae3a2d25b7f 100644 --- a/api/contexts/__init__.py +++ b/api/contexts/__init__.py @@ -1,9 +1,19 @@ from contextvars import ContextVar +from threading import Lock from typing import TYPE_CHECKING if TYPE_CHECKING: + from core.plugin.entities.plugin_daemon import PluginModelProviderEntity + from core.tools.plugin_tool.provider import PluginToolProviderController from core.workflow.entities.variable_pool import VariablePool + tenant_id: ContextVar[str] = ContextVar("tenant_id") workflow_variable_pool: ContextVar["VariablePool"] = ContextVar("workflow_variable_pool") + +plugin_tool_providers: ContextVar[dict[str, "PluginToolProviderController"]] = ContextVar("plugin_tool_providers") +plugin_tool_providers_lock: ContextVar[Lock] = ContextVar("plugin_tool_providers_lock") + +plugin_model_providers: ContextVar[list["PluginModelProviderEntity"] | None] = ContextVar("plugin_model_providers") +plugin_model_providers_lock: ContextVar[Lock] = ContextVar("plugin_model_providers_lock") diff --git a/api/controllers/console/__init__.py b/api/controllers/console/__init__.py index cb6b0d097b1fc9..8b5378c132f55b 100644 --- a/api/controllers/console/__init__.py +++ b/api/controllers/console/__init__.py @@ -2,7 +2,7 @@ from libs.external_api import ExternalApi -from .app.app_import import AppImportApi, AppImportConfirmApi +from .app.app_import import AppImportApi, AppImportCheckDependenciesApi, AppImportConfirmApi from .explore.audio import ChatAudioApi, ChatTextApi from .explore.completion import ChatApi, ChatStopApi, CompletionApi, CompletionStopApi from .explore.conversation import ( @@ -40,6 +40,7 @@ # Import App api.add_resource(AppImportApi, "/apps/imports") api.add_resource(AppImportConfirmApi, "/apps/imports//confirm") +api.add_resource(AppImportCheckDependenciesApi, "/apps/imports//check-dependencies") # Import other controllers from . import admin, apikey, extension, feature, ping, setup, version @@ -166,4 +167,15 @@ from .tag import tags # Import workspace controllers -from .workspace import account, load_balancing_config, members, model_providers, models, tool_providers, workspace +from .workspace import ( + account, + agent_providers, + endpoint, + load_balancing_config, + members, + model_providers, + models, + plugin, + tool_providers, + workspace, +) diff --git a/api/controllers/console/admin.py b/api/controllers/console/admin.py index 1286188f7f4d28..6e3273f5d4b610 100644 --- a/api/controllers/console/admin.py +++ b/api/controllers/console/admin.py @@ -2,6 +2,8 @@ from flask import request from flask_restful import Resource, reqparse # type: ignore +from sqlalchemy import select +from sqlalchemy.orm import Session from werkzeug.exceptions import NotFound, Unauthorized from configs import dify_config @@ -54,7 +56,8 @@ def post(self): parser.add_argument("position", type=int, required=True, nullable=False, location="json") args = parser.parse_args() - app = App.query.filter(App.id == args["app_id"]).first() + with Session(db.engine) as session: + app = session.execute(select(App).filter(App.id == args["app_id"])).scalar_one_or_none() if not app: raise NotFound(f"App '{args['app_id']}' is not found") @@ -70,7 +73,10 @@ def post(self): privacy_policy = site.privacy_policy or args["privacy_policy"] or "" custom_disclaimer = site.custom_disclaimer or args["custom_disclaimer"] or "" - recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args["app_id"]).first() + with Session(db.engine) as session: + recommended_app = session.execute( + select(RecommendedApp).filter(RecommendedApp.app_id == args["app_id"]) + ).scalar_one_or_none() if not recommended_app: recommended_app = RecommendedApp( @@ -110,17 +116,27 @@ class InsertExploreAppApi(Resource): @only_edition_cloud @admin_required def delete(self, app_id): - recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == str(app_id)).first() + with Session(db.engine) as session: + recommended_app = session.execute( + select(RecommendedApp).filter(RecommendedApp.app_id == str(app_id)) + ).scalar_one_or_none() + if not recommended_app: return {"result": "success"}, 204 - app = App.query.filter(App.id == recommended_app.app_id).first() + with Session(db.engine) as session: + app = session.execute(select(App).filter(App.id == recommended_app.app_id)).scalar_one_or_none() + if app: app.is_public = False - installed_apps = InstalledApp.query.filter( - InstalledApp.app_id == recommended_app.app_id, InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id - ).all() + with Session(db.engine) as session: + installed_apps = session.execute( + select(InstalledApp).filter( + InstalledApp.app_id == recommended_app.app_id, + InstalledApp.tenant_id != InstalledApp.app_owner_tenant_id, + ) + ).all() for installed_app in installed_apps: db.session.delete(installed_app) diff --git a/api/controllers/console/apikey.py b/api/controllers/console/apikey.py index ca8ddc32094ac5..eb42507c633b88 100644 --- a/api/controllers/console/apikey.py +++ b/api/controllers/console/apikey.py @@ -3,6 +3,8 @@ import flask_restful # type: ignore from flask_login import current_user # type: ignore from flask_restful import Resource, fields, marshal_with +from sqlalchemy import select +from sqlalchemy.orm import Session from werkzeug.exceptions import Forbidden from extensions.ext_database import db @@ -26,7 +28,16 @@ def _get_resource(resource_id, tenant_id, resource_model): - resource = resource_model.query.filter_by(id=resource_id, tenant_id=tenant_id).first() + if resource_model == App: + with Session(db.engine) as session: + resource = session.execute( + select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id) + ).scalar_one_or_none() + else: + with Session(db.engine) as session: + resource = session.execute( + select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id) + ).scalar_one_or_none() if resource is None: flask_restful.abort(404, message=f"{resource_model.__name__} not found.") diff --git a/api/controllers/console/app/app_import.py b/api/controllers/console/app/app_import.py index 7e2888d71c79c8..47acb47a2c239e 100644 --- a/api/controllers/console/app/app_import.py +++ b/api/controllers/console/app/app_import.py @@ -5,14 +5,16 @@ from sqlalchemy.orm import Session from werkzeug.exceptions import Forbidden +from controllers.console.app.wraps import get_app_model from controllers.console.wraps import ( account_initialization_required, setup_required, ) from extensions.ext_database import db -from fields.app_fields import app_import_fields +from fields.app_fields import app_import_check_dependencies_fields, app_import_fields from libs.login import login_required from models import Account +from models.model import App from services.app_dsl_service import AppDslService, ImportStatus @@ -88,3 +90,20 @@ def post(self, import_id): if result.status == ImportStatus.FAILED.value: return result.model_dump(mode="json"), 400 return result.model_dump(mode="json"), 200 + + +class AppImportCheckDependenciesApi(Resource): + @setup_required + @login_required + @get_app_model + @account_initialization_required + @marshal_with(app_import_check_dependencies_fields) + def get(self, app_model: App): + if not current_user.is_editor: + raise Forbidden() + + with Session(db.engine) as session: + import_service = AppDslService(session) + result = import_service.check_dependencies(app_model=app_model) + + return result.model_dump(mode="json"), 200 diff --git a/api/controllers/console/app/site.py b/api/controllers/console/app/site.py index db29b95c4140ff..c5a9c4d76e38ae 100644 --- a/api/controllers/console/app/site.py +++ b/api/controllers/console/app/site.py @@ -2,6 +2,7 @@ from flask_login import current_user # type: ignore from flask_restful import Resource, marshal_with, reqparse # type: ignore +from sqlalchemy.orm import Session from werkzeug.exceptions import Forbidden, NotFound from constants.languages import supported_language @@ -50,33 +51,37 @@ def post(self, app_model): if not current_user.is_editor: raise Forbidden() - site = Site.query.filter(Site.app_id == app_model.id).one_or_404() - - for attr_name in [ - "title", - "icon_type", - "icon", - "icon_background", - "description", - "default_language", - "chat_color_theme", - "chat_color_theme_inverted", - "customize_domain", - "copyright", - "privacy_policy", - "custom_disclaimer", - "customize_token_strategy", - "prompt_public", - "show_workflow_steps", - "use_icon_as_answer_icon", - ]: - value = args.get(attr_name) - if value is not None: - setattr(site, attr_name, value) - - site.updated_by = current_user.id - site.updated_at = datetime.now(UTC).replace(tzinfo=None) - db.session.commit() + with Session(db.engine) as session: + site = session.query(Site).filter(Site.app_id == app_model.id).first() + + if not site: + raise NotFound + + for attr_name in [ + "title", + "icon_type", + "icon", + "icon_background", + "description", + "default_language", + "chat_color_theme", + "chat_color_theme_inverted", + "customize_domain", + "copyright", + "privacy_policy", + "custom_disclaimer", + "customize_token_strategy", + "prompt_public", + "show_workflow_steps", + "use_icon_as_answer_icon", + ]: + value = args.get(attr_name) + if value is not None: + setattr(site, attr_name, value) + + site.updated_by = current_user.id + site.updated_at = datetime.now(UTC).replace(tzinfo=None) + session.commit() return site diff --git a/api/controllers/console/app/workflow.py b/api/controllers/console/app/workflow.py index 6942ac6fbe62dd..0cc5f31ddddfde 100644 --- a/api/controllers/console/app/workflow.py +++ b/api/controllers/console/app/workflow.py @@ -20,6 +20,7 @@ from libs.helper import TimestampField, uuid_value from libs.login import current_user, login_required from models import App +from models.account import Account from models.model import AppMode from services.app_generate_service import AppGenerateService from services.errors.app import WorkflowHashNotEqualError @@ -96,6 +97,9 @@ def post(self, app_model: App): else: abort(415) + if not isinstance(current_user, Account): + raise Forbidden() + workflow_service = WorkflowService() try: @@ -139,6 +143,9 @@ def post(self, app_model: App): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + parser = reqparse.RequestParser() parser.add_argument("inputs", type=dict, location="json") parser.add_argument("query", type=str, required=True, location="json", default="") @@ -160,7 +167,7 @@ def post(self, app_model: App): raise ConversationCompletedError() except ValueError as e: raise e - except Exception as e: + except Exception: logging.exception("internal server error.") raise InternalServerError() @@ -178,6 +185,9 @@ def post(self, app_model: App, node_id: str): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + parser = reqparse.RequestParser() parser.add_argument("inputs", type=dict, location="json") args = parser.parse_args() @@ -194,7 +204,7 @@ def post(self, app_model: App, node_id: str): raise ConversationCompletedError() except ValueError as e: raise e - except Exception as e: + except Exception: logging.exception("internal server error.") raise InternalServerError() @@ -212,6 +222,9 @@ def post(self, app_model: App, node_id: str): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + parser = reqparse.RequestParser() parser.add_argument("inputs", type=dict, location="json") args = parser.parse_args() @@ -228,7 +241,7 @@ def post(self, app_model: App, node_id: str): raise ConversationCompletedError() except ValueError as e: raise e - except Exception as e: + except Exception: logging.exception("internal server error.") raise InternalServerError() @@ -246,6 +259,9 @@ def post(self, app_model: App): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + parser = reqparse.RequestParser() parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json") parser.add_argument("files", type=list, required=False, location="json") @@ -294,13 +310,20 @@ def post(self, app_model: App, node_id: str): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + parser = reqparse.RequestParser() parser.add_argument("inputs", type=dict, required=True, nullable=False, location="json") args = parser.parse_args() + inputs = args.get("inputs") + if inputs == None: + raise ValueError("missing inputs") + workflow_service = WorkflowService() workflow_node_execution = workflow_service.run_draft_workflow_node( - app_model=app_model, node_id=node_id, user_inputs=args.get("inputs"), account=current_user + app_model=app_model, node_id=node_id, user_inputs=inputs, account=current_user ) return workflow_node_execution @@ -339,6 +362,9 @@ def post(self, app_model: App): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + workflow_service = WorkflowService() workflow = workflow_service.publish_workflow(app_model=app_model, account=current_user) @@ -376,12 +402,17 @@ def get(self, app_model: App, block_type: str): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + parser = reqparse.RequestParser() parser.add_argument("q", type=str, location="args") args = parser.parse_args() + q = args.get("q") + filters = None - if args.get("q"): + if q: try: filters = json.loads(args.get("q", "")) except json.JSONDecodeError: @@ -407,6 +438,9 @@ def post(self, app_model: App): if not current_user.is_editor: raise Forbidden() + if not isinstance(current_user, Account): + raise Forbidden() + if request.data: parser = reqparse.RequestParser() parser.add_argument("name", type=str, required=False, nullable=True, location="json") diff --git a/api/controllers/console/auth/forgot_password.py b/api/controllers/console/auth/forgot_password.py index 241ecdbd5341e8..773ee657278f46 100644 --- a/api/controllers/console/auth/forgot_password.py +++ b/api/controllers/console/auth/forgot_password.py @@ -3,6 +3,8 @@ from flask import request from flask_restful import Resource, reqparse # type: ignore +from sqlalchemy import select +from sqlalchemy.orm import Session from constants.languages import languages from controllers.console import api @@ -43,7 +45,8 @@ def post(self): else: language = "en-US" - account = Account.query.filter_by(email=args["email"]).first() + with Session(db.engine) as session: + account = session.execute(select(Account).filter_by(email=args["email"])).scalar_one_or_none() token = None if account is None: if FeatureService.get_system_features().is_allow_register: @@ -116,7 +119,8 @@ def post(self): password_hashed = hash_password(new_password, salt) base64_password_hashed = base64.b64encode(password_hashed).decode() - account = Account.query.filter_by(email=reset_data.get("email")).first() + with Session(db.engine) as session: + account = session.execute(select(Account).filter_by(email=reset_data.get("email"))).scalar_one_or_none() if account: account.password = base64_password_hashed account.password_salt = base64_salt @@ -137,7 +141,7 @@ def post(self): ) except WorkSpaceNotAllowedCreateError: pass - except AccountRegisterError as are: + except AccountRegisterError: raise AccountInFreezeError() return {"result": "success"} diff --git a/api/controllers/console/auth/oauth.py b/api/controllers/console/auth/oauth.py index 2a08362c6d62a9..33bafbf4631290 100644 --- a/api/controllers/console/auth/oauth.py +++ b/api/controllers/console/auth/oauth.py @@ -5,6 +5,8 @@ import requests from flask import current_app, redirect, request from flask_restful import Resource # type: ignore +from sqlalchemy import select +from sqlalchemy.orm import Session from werkzeug.exceptions import Unauthorized from configs import dify_config @@ -135,7 +137,8 @@ def _get_account_by_openid_or_email(provider: str, user_info: OAuthUserInfo) -> account: Optional[Account] = Account.get_by_openid(provider, user_info.id) if not account: - account = Account.query.filter_by(email=user_info.email).first() + with Session(db.engine) as session: + account = session.execute(select(Account).filter_by(email=user_info.email)).scalar_one_or_none() return account diff --git a/api/controllers/console/datasets/data_source.py b/api/controllers/console/datasets/data_source.py index 3a4a6d75e1d3a8..5e180b5cf1e225 100644 --- a/api/controllers/console/datasets/data_source.py +++ b/api/controllers/console/datasets/data_source.py @@ -4,6 +4,8 @@ from flask import request from flask_login import current_user # type: ignore from flask_restful import Resource, marshal_with, reqparse # type: ignore +from sqlalchemy import select +from sqlalchemy.orm import Session from werkzeug.exceptions import NotFound from controllers.console import api @@ -76,7 +78,10 @@ def get(self): def patch(self, binding_id, action): binding_id = str(binding_id) action = str(action) - data_source_binding = DataSourceOauthBinding.query.filter_by(id=binding_id).first() + with Session(db.engine) as session: + data_source_binding = session.execute( + select(DataSourceOauthBinding).filter_by(id=binding_id) + ).scalar_one_or_none() if data_source_binding is None: raise NotFound("Data source binding not found.") # enable binding @@ -108,47 +113,53 @@ class DataSourceNotionListApi(Resource): def get(self): dataset_id = request.args.get("dataset_id", default=None, type=str) exist_page_ids = [] - # import notion in the exist dataset - if dataset_id: - dataset = DatasetService.get_dataset(dataset_id) - if not dataset: - raise NotFound("Dataset not found.") - if dataset.data_source_type != "notion_import": - raise ValueError("Dataset is not notion type.") - documents = Document.query.filter_by( - dataset_id=dataset_id, - tenant_id=current_user.current_tenant_id, - data_source_type="notion_import", - enabled=True, + with Session(db.engine) as session: + # import notion in the exist dataset + if dataset_id: + dataset = DatasetService.get_dataset(dataset_id) + if not dataset: + raise NotFound("Dataset not found.") + if dataset.data_source_type != "notion_import": + raise ValueError("Dataset is not notion type.") + + documents = session.execute( + select(Document).filter_by( + dataset_id=dataset_id, + tenant_id=current_user.current_tenant_id, + data_source_type="notion_import", + enabled=True, + ) + ).all() + if documents: + for document in documents: + data_source_info = json.loads(document.data_source_info) + exist_page_ids.append(data_source_info["notion_page_id"]) + # get all authorized pages + data_source_bindings = session.scalars( + select(DataSourceOauthBinding).filter_by( + tenant_id=current_user.current_tenant_id, provider="notion", disabled=False + ) ).all() - if documents: - for document in documents: - data_source_info = json.loads(document.data_source_info) - exist_page_ids.append(data_source_info["notion_page_id"]) - # get all authorized pages - data_source_bindings = DataSourceOauthBinding.query.filter_by( - tenant_id=current_user.current_tenant_id, provider="notion", disabled=False - ).all() - if not data_source_bindings: - return {"notion_info": []}, 200 - pre_import_info_list = [] - for data_source_binding in data_source_bindings: - source_info = data_source_binding.source_info - pages = source_info["pages"] - # Filter out already bound pages - for page in pages: - if page["page_id"] in exist_page_ids: - page["is_bound"] = True - else: - page["is_bound"] = False - pre_import_info = { - "workspace_name": source_info["workspace_name"], - "workspace_icon": source_info["workspace_icon"], - "workspace_id": source_info["workspace_id"], - "pages": pages, - } - pre_import_info_list.append(pre_import_info) - return {"notion_info": pre_import_info_list}, 200 + if not data_source_bindings: + return {"notion_info": []}, 200 + pre_import_info_list = [] + for data_source_binding in data_source_bindings: + source_info = data_source_binding.source_info + pages = source_info["pages"] + # Filter out already bound pages + for page in pages: + if page["page_id"] in exist_page_ids: + page["is_bound"] = True + else: + page["is_bound"] = False + pre_import_info = { + "workspace_name": source_info["workspace_name"], + "workspace_icon": source_info["workspace_icon"], + "workspace_id": source_info["workspace_id"], + "pages": pages, + } + pre_import_info_list.append(pre_import_info) + return {"notion_info": pre_import_info_list}, 200 class DataSourceNotionApi(Resource): @@ -158,14 +169,17 @@ class DataSourceNotionApi(Resource): def get(self, workspace_id, page_id, page_type): workspace_id = str(workspace_id) page_id = str(page_id) - data_source_binding = DataSourceOauthBinding.query.filter( - db.and_( - DataSourceOauthBinding.tenant_id == current_user.current_tenant_id, - DataSourceOauthBinding.provider == "notion", - DataSourceOauthBinding.disabled == False, - DataSourceOauthBinding.source_info["workspace_id"] == f'"{workspace_id}"', - ) - ).first() + with Session(db.engine) as session: + data_source_binding = session.execute( + select(DataSourceOauthBinding).filter( + db.and_( + DataSourceOauthBinding.tenant_id == current_user.current_tenant_id, + DataSourceOauthBinding.provider == "notion", + DataSourceOauthBinding.disabled == False, + DataSourceOauthBinding.source_info["workspace_id"] == f'"{workspace_id}"', + ) + ) + ).scalar_one_or_none() if not data_source_binding: raise NotFound("Data source binding not found.") diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index fee651480a6e9d..e934903910efec 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -14,6 +14,7 @@ from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError from core.indexing_runner import IndexingRunner from core.model_runtime.entities.model_entities import ModelType +from core.plugin.entities.plugin import ModelProviderID from core.provider_manager import ProviderManager from core.rag.datasource.vdb.vector_type import VectorType from core.rag.extractor.entity.extract_setting import ExtractSetting @@ -72,7 +73,9 @@ def get(self): data = marshal(datasets, dataset_detail_fields) for item in data: + # convert embedding_model_provider to plugin standard format if item["indexing_technique"] == "high_quality": + item["embedding_model_provider"] = str(ModelProviderID(item["embedding_model_provider"])) item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}" if item_model in model_names: item["embedding_available"] = True diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py index c95214e9fbf11e..7ba9f5e121c9e3 100644 --- a/api/controllers/console/datasets/datasets_document.py +++ b/api/controllers/console/datasets/datasets_document.py @@ -7,7 +7,6 @@ from flask_login import current_user # type: ignore from flask_restful import Resource, fields, marshal, marshal_with, reqparse # type: ignore from sqlalchemy import asc, desc -from transformers.hf_argparser import string_to_bool # type: ignore from werkzeug.exceptions import Forbidden, NotFound import services @@ -40,6 +39,7 @@ from core.model_manager import ModelManager from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.errors.invoke import InvokeAuthorizationError +from core.plugin.manager.exc import PluginDaemonClientSideError from core.rag.extractor.entity.extract_setting import ExtractSetting from extensions.ext_database import db from extensions.ext_redis import redis_client @@ -150,8 +150,20 @@ def get(self, dataset_id): sort = request.args.get("sort", default="-created_at", type=str) # "yes", "true", "t", "y", "1" convert to True, while others convert to False. try: - fetch = string_to_bool(request.args.get("fetch", default="false")) - except (ArgumentTypeError, ValueError, Exception) as e: + fetch_val = request.args.get("fetch", default="false") + if isinstance(fetch_val, bool): + fetch = fetch_val + else: + if fetch_val.lower() in ("yes", "true", "t", "y", "1"): + fetch = True + elif fetch_val.lower() in ("no", "false", "f", "n", "0"): + fetch = False + else: + raise ArgumentTypeError( + f"Truthy value expected: got {fetch_val} but expected one of yes/no, true/false, t/f, y/n, 1/0 " + f"(case insensitive)." + ) + except (ArgumentTypeError, ValueError, Exception): fetch = False dataset = DatasetService.get_dataset(dataset_id) if not dataset: @@ -429,6 +441,8 @@ def get(self, dataset_id, document_id): ) except ProviderTokenNotInitError as ex: raise ProviderNotInitializeError(ex.description) + except PluginDaemonClientSideError as ex: + raise ProviderNotInitializeError(ex.description) except Exception as e: raise IndexingEstimateError(str(e)) @@ -529,6 +543,8 @@ def get(self, dataset_id, batch): ) except ProviderTokenNotInitError as ex: raise ProviderNotInitializeError(ex.description) + except PluginDaemonClientSideError as ex: + raise ProviderNotInitializeError(ex.description) except Exception as e: raise IndexingEstimateError(str(e)) diff --git a/api/controllers/console/init_validate.py b/api/controllers/console/init_validate.py index d9ae5cf29fc626..cfed5fe7a43dd5 100644 --- a/api/controllers/console/init_validate.py +++ b/api/controllers/console/init_validate.py @@ -2,8 +2,11 @@ from flask import session from flask_restful import Resource, reqparse # type: ignore +from sqlalchemy import select +from sqlalchemy.orm import Session from configs import dify_config +from extensions.ext_database import db from libs.helper import StrLen from models.model import DifySetup from services.account_service import TenantService @@ -42,7 +45,11 @@ def post(self): def get_init_validate_status(): if dify_config.EDITION == "SELF_HOSTED": if os.environ.get("INIT_PASSWORD"): - return session.get("is_init_validated") or DifySetup.query.first() + if session.get("is_init_validated"): + return True + + with Session(db.engine) as db_session: + return db_session.execute(select(DifySetup)).scalar_one_or_none() return True diff --git a/api/controllers/console/setup.py b/api/controllers/console/setup.py index aba6f0aad9ee54..3b47f8f12febe4 100644 --- a/api/controllers/console/setup.py +++ b/api/controllers/console/setup.py @@ -4,7 +4,7 @@ from configs import dify_config from libs.helper import StrLen, email, extract_remote_ip from libs.password import valid_password -from models.model import DifySetup +from models.model import DifySetup, db from services.account_service import RegisterService, TenantService from . import api @@ -52,8 +52,9 @@ def post(self): def get_setup_status(): if dify_config.EDITION == "SELF_HOSTED": - return DifySetup.query.first() - return True + return db.session.query(DifySetup).first() + else: + return True api.add_resource(SetupApi, "/setup") diff --git a/api/controllers/console/workspace/__init__.py b/api/controllers/console/workspace/__init__.py index e69de29bb2d1d6..7af2b44a4ae413 100644 --- a/api/controllers/console/workspace/__init__.py +++ b/api/controllers/console/workspace/__init__.py @@ -0,0 +1,56 @@ +from functools import wraps + +from flask_login import current_user # type: ignore +from sqlalchemy.orm import Session +from werkzeug.exceptions import Forbidden + +from extensions.ext_database import db +from models.account import TenantPluginPermission + + +def plugin_permission_required( + install_required: bool = False, + debug_required: bool = False, +): + def interceptor(view): + @wraps(view) + def decorated(*args, **kwargs): + user = current_user + tenant_id = user.current_tenant_id + + with Session(db.engine) as session: + permission = ( + session.query(TenantPluginPermission) + .filter( + TenantPluginPermission.tenant_id == tenant_id, + ) + .first() + ) + + if not permission: + # no permission set, allow access for everyone + return view(*args, **kwargs) + + if install_required: + if permission.install_permission == TenantPluginPermission.InstallPermission.NOBODY: + raise Forbidden() + if permission.install_permission == TenantPluginPermission.InstallPermission.ADMINS: + if not user.is_admin_or_owner: + raise Forbidden() + if permission.install_permission == TenantPluginPermission.InstallPermission.EVERYONE: + pass + + if debug_required: + if permission.debug_permission == TenantPluginPermission.DebugPermission.NOBODY: + raise Forbidden() + if permission.debug_permission == TenantPluginPermission.DebugPermission.ADMINS: + if not user.is_admin_or_owner: + raise Forbidden() + if permission.debug_permission == TenantPluginPermission.DebugPermission.EVERYONE: + pass + + return view(*args, **kwargs) + + return decorated + + return interceptor diff --git a/api/controllers/console/workspace/agent_providers.py b/api/controllers/console/workspace/agent_providers.py new file mode 100644 index 00000000000000..a41d6c501c61f5 --- /dev/null +++ b/api/controllers/console/workspace/agent_providers.py @@ -0,0 +1,36 @@ +from flask_login import current_user # type: ignore +from flask_restful import Resource # type: ignore + +from controllers.console import api +from controllers.console.wraps import account_initialization_required, setup_required +from core.model_runtime.utils.encoders import jsonable_encoder +from libs.login import login_required +from services.agent_service import AgentService + + +class AgentProviderListApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self): + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id + + return jsonable_encoder(AgentService.list_agent_providers(user_id, tenant_id)) + + +class AgentProviderApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self, provider_name: str): + user = current_user + user_id = user.id + tenant_id = user.current_tenant_id + return jsonable_encoder(AgentService.get_agent_provider(user_id, tenant_id, provider_name)) + + +api.add_resource(AgentProviderListApi, "/workspaces/current/agent-providers") +api.add_resource(AgentProviderApi, "/workspaces/current/agent-provider/") diff --git a/api/controllers/console/workspace/endpoint.py b/api/controllers/console/workspace/endpoint.py new file mode 100644 index 00000000000000..a5bd2a4bcf30f3 --- /dev/null +++ b/api/controllers/console/workspace/endpoint.py @@ -0,0 +1,205 @@ +from flask_login import current_user # type: ignore +from flask_restful import Resource, reqparse # type: ignore +from werkzeug.exceptions import Forbidden + +from controllers.console import api +from controllers.console.wraps import account_initialization_required, setup_required +from core.model_runtime.utils.encoders import jsonable_encoder +from libs.login import login_required +from services.plugin.endpoint_service import EndpointService + + +class EndpointCreateApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + user = current_user + if not user.is_admin_or_owner: + raise Forbidden() + + parser = reqparse.RequestParser() + parser.add_argument("plugin_unique_identifier", type=str, required=True) + parser.add_argument("settings", type=dict, required=True) + parser.add_argument("name", type=str, required=True) + args = parser.parse_args() + + plugin_unique_identifier = args["plugin_unique_identifier"] + settings = args["settings"] + name = args["name"] + + return { + "success": EndpointService.create_endpoint( + tenant_id=user.current_tenant_id, + user_id=user.id, + plugin_unique_identifier=plugin_unique_identifier, + name=name, + settings=settings, + ) + } + + +class EndpointListApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self): + user = current_user + + parser = reqparse.RequestParser() + parser.add_argument("page", type=int, required=True, location="args") + parser.add_argument("page_size", type=int, required=True, location="args") + args = parser.parse_args() + + page = args["page"] + page_size = args["page_size"] + + return jsonable_encoder( + { + "endpoints": EndpointService.list_endpoints( + tenant_id=user.current_tenant_id, + user_id=user.id, + page=page, + page_size=page_size, + ) + } + ) + + +class EndpointListForSinglePluginApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self): + user = current_user + + parser = reqparse.RequestParser() + parser.add_argument("page", type=int, required=True, location="args") + parser.add_argument("page_size", type=int, required=True, location="args") + parser.add_argument("plugin_id", type=str, required=True, location="args") + args = parser.parse_args() + + page = args["page"] + page_size = args["page_size"] + plugin_id = args["plugin_id"] + + return jsonable_encoder( + { + "endpoints": EndpointService.list_endpoints_for_single_plugin( + tenant_id=user.current_tenant_id, + user_id=user.id, + plugin_id=plugin_id, + page=page, + page_size=page_size, + ) + } + ) + + +class EndpointDeleteApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + user = current_user + + parser = reqparse.RequestParser() + parser.add_argument("endpoint_id", type=str, required=True) + args = parser.parse_args() + + if not user.is_admin_or_owner: + raise Forbidden() + + endpoint_id = args["endpoint_id"] + + return { + "success": EndpointService.delete_endpoint( + tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id + ) + } + + +class EndpointUpdateApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + user = current_user + + parser = reqparse.RequestParser() + parser.add_argument("endpoint_id", type=str, required=True) + parser.add_argument("settings", type=dict, required=True) + parser.add_argument("name", type=str, required=True) + args = parser.parse_args() + + endpoint_id = args["endpoint_id"] + settings = args["settings"] + name = args["name"] + + if not user.is_admin_or_owner: + raise Forbidden() + + return { + "success": EndpointService.update_endpoint( + tenant_id=user.current_tenant_id, + user_id=user.id, + endpoint_id=endpoint_id, + name=name, + settings=settings, + ) + } + + +class EndpointEnableApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + user = current_user + + parser = reqparse.RequestParser() + parser.add_argument("endpoint_id", type=str, required=True) + args = parser.parse_args() + + endpoint_id = args["endpoint_id"] + + if not user.is_admin_or_owner: + raise Forbidden() + + return { + "success": EndpointService.enable_endpoint( + tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id + ) + } + + +class EndpointDisableApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + user = current_user + + parser = reqparse.RequestParser() + parser.add_argument("endpoint_id", type=str, required=True) + args = parser.parse_args() + + endpoint_id = args["endpoint_id"] + + if not user.is_admin_or_owner: + raise Forbidden() + + return { + "success": EndpointService.disable_endpoint( + tenant_id=user.current_tenant_id, user_id=user.id, endpoint_id=endpoint_id + ) + } + + +api.add_resource(EndpointCreateApi, "/workspaces/current/endpoints/create") +api.add_resource(EndpointListApi, "/workspaces/current/endpoints/list") +api.add_resource(EndpointListForSinglePluginApi, "/workspaces/current/endpoints/list/plugin") +api.add_resource(EndpointDeleteApi, "/workspaces/current/endpoints/delete") +api.add_resource(EndpointUpdateApi, "/workspaces/current/endpoints/update") +api.add_resource(EndpointEnableApi, "/workspaces/current/endpoints/enable") +api.add_resource(EndpointDisableApi, "/workspaces/current/endpoints/disable") diff --git a/api/controllers/console/workspace/load_balancing_config.py b/api/controllers/console/workspace/load_balancing_config.py index 7009343d9923da..6e1d87cb12d48a 100644 --- a/api/controllers/console/workspace/load_balancing_config.py +++ b/api/controllers/console/workspace/load_balancing_config.py @@ -112,10 +112,10 @@ def post(self, provider: str, config_id: str): # Load Balancing Config api.add_resource( LoadBalancingCredentialsValidateApi, - "/workspaces/current/model-providers//models/load-balancing-configs/credentials-validate", + "/workspaces/current/model-providers//models/load-balancing-configs/credentials-validate", ) api.add_resource( LoadBalancingConfigCredentialsValidateApi, - "/workspaces/current/model-providers//models/load-balancing-configs//credentials-validate", + "/workspaces/current/model-providers//models/load-balancing-configs//credentials-validate", ) diff --git a/api/controllers/console/workspace/model_providers.py b/api/controllers/console/workspace/model_providers.py index 2d11295b0fdf61..d7d1cc8d00756d 100644 --- a/api/controllers/console/workspace/model_providers.py +++ b/api/controllers/console/workspace/model_providers.py @@ -79,7 +79,7 @@ def post(self, provider: str): response = {"result": "success" if result else "error"} if not result: - response["error"] = error + response["error"] = error or "Unknown error" return response @@ -125,9 +125,10 @@ class ModelProviderIconApi(Resource): Get model provider icon """ - def get(self, provider: str, icon_type: str, lang: str): + def get(self, tenant_id: str, provider: str, icon_type: str, lang: str): model_provider_service = ModelProviderService() icon, mimetype = model_provider_service.get_model_provider_icon( + tenant_id=tenant_id, provider=provider, icon_type=icon_type, lang=lang, @@ -183,53 +184,17 @@ def get(self, provider: str): return data -class ModelProviderFreeQuotaSubmitApi(Resource): - @setup_required - @login_required - @account_initialization_required - def post(self, provider: str): - model_provider_service = ModelProviderService() - result = model_provider_service.free_quota_submit(tenant_id=current_user.current_tenant_id, provider=provider) - - return result - - -class ModelProviderFreeQuotaQualificationVerifyApi(Resource): - @setup_required - @login_required - @account_initialization_required - def get(self, provider: str): - parser = reqparse.RequestParser() - parser.add_argument("token", type=str, required=False, nullable=True, location="args") - args = parser.parse_args() - - model_provider_service = ModelProviderService() - result = model_provider_service.free_quota_qualification_verify( - tenant_id=current_user.current_tenant_id, provider=provider, token=args["token"] - ) - - return result - - api.add_resource(ModelProviderListApi, "/workspaces/current/model-providers") -api.add_resource(ModelProviderCredentialApi, "/workspaces/current/model-providers//credentials") -api.add_resource(ModelProviderValidateApi, "/workspaces/current/model-providers//credentials/validate") -api.add_resource(ModelProviderApi, "/workspaces/current/model-providers/") -api.add_resource( - ModelProviderIconApi, "/workspaces/current/model-providers///" -) +api.add_resource(ModelProviderCredentialApi, "/workspaces/current/model-providers//credentials") +api.add_resource(ModelProviderValidateApi, "/workspaces/current/model-providers//credentials/validate") +api.add_resource(ModelProviderApi, "/workspaces/current/model-providers/") api.add_resource( - PreferredProviderTypeUpdateApi, "/workspaces/current/model-providers//preferred-provider-type" -) -api.add_resource( - ModelProviderPaymentCheckoutUrlApi, "/workspaces/current/model-providers//checkout-url" -) -api.add_resource( - ModelProviderFreeQuotaSubmitApi, "/workspaces/current/model-providers//free-quota-submit" + PreferredProviderTypeUpdateApi, "/workspaces/current/model-providers//preferred-provider-type" ) +api.add_resource(ModelProviderPaymentCheckoutUrlApi, "/workspaces/current/model-providers//checkout-url") api.add_resource( - ModelProviderFreeQuotaQualificationVerifyApi, - "/workspaces/current/model-providers//free-quota-qualification-verify", + ModelProviderIconApi, + "/workspaces//model-providers///", ) diff --git a/api/controllers/console/workspace/models.py b/api/controllers/console/workspace/models.py index 618262e502ab33..8b72a1ea3d076d 100644 --- a/api/controllers/console/workspace/models.py +++ b/api/controllers/console/workspace/models.py @@ -325,7 +325,7 @@ def post(self, provider: str): response = {"result": "success" if result else "error"} if not result: - response["error"] = error + response["error"] = error or "" return response @@ -362,26 +362,26 @@ def get(self, model_type): return jsonable_encoder({"data": models}) -api.add_resource(ModelProviderModelApi, "/workspaces/current/model-providers//models") +api.add_resource(ModelProviderModelApi, "/workspaces/current/model-providers//models") api.add_resource( ModelProviderModelEnableApi, - "/workspaces/current/model-providers//models/enable", + "/workspaces/current/model-providers//models/enable", endpoint="model-provider-model-enable", ) api.add_resource( ModelProviderModelDisableApi, - "/workspaces/current/model-providers//models/disable", + "/workspaces/current/model-providers//models/disable", endpoint="model-provider-model-disable", ) api.add_resource( - ModelProviderModelCredentialApi, "/workspaces/current/model-providers//models/credentials" + ModelProviderModelCredentialApi, "/workspaces/current/model-providers//models/credentials" ) api.add_resource( - ModelProviderModelValidateApi, "/workspaces/current/model-providers//models/credentials/validate" + ModelProviderModelValidateApi, "/workspaces/current/model-providers//models/credentials/validate" ) api.add_resource( - ModelProviderModelParameterRuleApi, "/workspaces/current/model-providers//models/parameter-rules" + ModelProviderModelParameterRuleApi, "/workspaces/current/model-providers//models/parameter-rules" ) api.add_resource(ModelProviderAvailableModelApi, "/workspaces/current/models/model-types/") api.add_resource(DefaultModelApi, "/workspaces/current/default-model") diff --git a/api/controllers/console/workspace/plugin.py b/api/controllers/console/workspace/plugin.py new file mode 100644 index 00000000000000..f4c32ede2b1b4e --- /dev/null +++ b/api/controllers/console/workspace/plugin.py @@ -0,0 +1,475 @@ +import io + +from flask import request, send_file +from flask_login import current_user # type: ignore +from flask_restful import Resource, reqparse # type: ignore +from werkzeug.exceptions import Forbidden + +from configs import dify_config +from controllers.console import api +from controllers.console.workspace import plugin_permission_required +from controllers.console.wraps import account_initialization_required, setup_required +from core.model_runtime.utils.encoders import jsonable_encoder +from core.plugin.manager.exc import PluginDaemonClientSideError +from libs.login import login_required +from models.account import TenantPluginPermission +from services.plugin.plugin_permission_service import PluginPermissionService +from services.plugin.plugin_service import PluginService + + +class PluginDebuggingKeyApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def get(self): + tenant_id = current_user.current_tenant_id + + try: + return { + "key": PluginService.get_debugging_key(tenant_id), + "host": dify_config.PLUGIN_REMOTE_INSTALL_HOST, + "port": dify_config.PLUGIN_REMOTE_INSTALL_PORT, + } + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginListApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self): + tenant_id = current_user.current_tenant_id + try: + plugins = PluginService.list(tenant_id) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder({"plugins": plugins}) + + +class PluginListInstallationsFromIdsApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("plugin_ids", type=list, required=True, location="json") + args = parser.parse_args() + + try: + plugins = PluginService.list_installations_from_ids(tenant_id, args["plugin_ids"]) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder({"plugins": plugins}) + + +class PluginIconApi(Resource): + @setup_required + def get(self): + req = reqparse.RequestParser() + req.add_argument("tenant_id", type=str, required=True, location="args") + req.add_argument("filename", type=str, required=True, location="args") + args = req.parse_args() + + try: + icon_bytes, mimetype = PluginService.get_asset(args["tenant_id"], args["filename"]) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + icon_cache_max_age = dify_config.TOOL_ICON_CACHE_MAX_AGE + return send_file(io.BytesIO(icon_bytes), mimetype=mimetype, max_age=icon_cache_max_age) + + +class PluginUploadFromPkgApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(install_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + file = request.files["pkg"] + + # check file size + if file.content_length > dify_config.PLUGIN_MAX_PACKAGE_SIZE: + raise ValueError("File size exceeds the maximum allowed size") + + content = file.read() + try: + response = PluginService.upload_pkg(tenant_id, content) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder(response) + + +class PluginUploadFromGithubApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(install_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("repo", type=str, required=True, location="json") + parser.add_argument("version", type=str, required=True, location="json") + parser.add_argument("package", type=str, required=True, location="json") + args = parser.parse_args() + + try: + response = PluginService.upload_pkg_from_github(tenant_id, args["repo"], args["version"], args["package"]) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder(response) + + +class PluginUploadFromBundleApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(install_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + file = request.files["bundle"] + + # check file size + if file.content_length > dify_config.PLUGIN_MAX_BUNDLE_SIZE: + raise ValueError("File size exceeds the maximum allowed size") + + content = file.read() + try: + response = PluginService.upload_bundle(tenant_id, content) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder(response) + + +class PluginInstallFromPkgApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(install_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("plugin_unique_identifiers", type=list, required=True, location="json") + args = parser.parse_args() + + # check if all plugin_unique_identifiers are valid string + for plugin_unique_identifier in args["plugin_unique_identifiers"]: + if not isinstance(plugin_unique_identifier, str): + raise ValueError("Invalid plugin unique identifier") + + try: + response = PluginService.install_from_local_pkg(tenant_id, args["plugin_unique_identifiers"]) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder(response) + + +class PluginInstallFromGithubApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(install_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("repo", type=str, required=True, location="json") + parser.add_argument("version", type=str, required=True, location="json") + parser.add_argument("package", type=str, required=True, location="json") + parser.add_argument("plugin_unique_identifier", type=str, required=True, location="json") + args = parser.parse_args() + + try: + response = PluginService.install_from_github( + tenant_id, + args["plugin_unique_identifier"], + args["repo"], + args["version"], + args["package"], + ) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder(response) + + +class PluginInstallFromMarketplaceApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(install_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("plugin_unique_identifiers", type=list, required=True, location="json") + args = parser.parse_args() + + # check if all plugin_unique_identifiers are valid string + for plugin_unique_identifier in args["plugin_unique_identifiers"]: + if not isinstance(plugin_unique_identifier, str): + raise ValueError("Invalid plugin unique identifier") + + try: + response = PluginService.install_from_marketplace_pkg(tenant_id, args["plugin_unique_identifiers"]) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder(response) + + +class PluginFetchManifestApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def get(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("plugin_unique_identifier", type=str, required=True, location="args") + args = parser.parse_args() + + try: + return jsonable_encoder( + { + "manifest": PluginService.fetch_plugin_manifest( + tenant_id, args["plugin_unique_identifier"] + ).model_dump() + } + ) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginFetchInstallTasksApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def get(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("page", type=int, required=True, location="args") + parser.add_argument("page_size", type=int, required=True, location="args") + args = parser.parse_args() + + try: + return jsonable_encoder( + {"tasks": PluginService.fetch_install_tasks(tenant_id, args["page"], args["page_size"])} + ) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginFetchInstallTaskApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def get(self, task_id: str): + tenant_id = current_user.current_tenant_id + + try: + return jsonable_encoder({"task": PluginService.fetch_install_task(tenant_id, task_id)}) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginDeleteInstallTaskApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def post(self, task_id: str): + tenant_id = current_user.current_tenant_id + + try: + return {"success": PluginService.delete_install_task(tenant_id, task_id)} + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginDeleteAllInstallTaskItemsApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + try: + return {"success": PluginService.delete_all_install_task_items(tenant_id)} + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginDeleteInstallTaskItemApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def post(self, task_id: str, identifier: str): + tenant_id = current_user.current_tenant_id + + try: + return {"success": PluginService.delete_install_task_item(tenant_id, task_id, identifier)} + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginUpgradeFromMarketplaceApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("original_plugin_unique_identifier", type=str, required=True, location="json") + parser.add_argument("new_plugin_unique_identifier", type=str, required=True, location="json") + args = parser.parse_args() + + try: + return jsonable_encoder( + PluginService.upgrade_plugin_with_marketplace( + tenant_id, args["original_plugin_unique_identifier"], args["new_plugin_unique_identifier"] + ) + ) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginUpgradeFromGithubApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def post(self): + tenant_id = current_user.current_tenant_id + + parser = reqparse.RequestParser() + parser.add_argument("original_plugin_unique_identifier", type=str, required=True, location="json") + parser.add_argument("new_plugin_unique_identifier", type=str, required=True, location="json") + parser.add_argument("repo", type=str, required=True, location="json") + parser.add_argument("version", type=str, required=True, location="json") + parser.add_argument("package", type=str, required=True, location="json") + args = parser.parse_args() + + try: + return jsonable_encoder( + PluginService.upgrade_plugin_with_github( + tenant_id, + args["original_plugin_unique_identifier"], + args["new_plugin_unique_identifier"], + args["repo"], + args["version"], + args["package"], + ) + ) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginUninstallApi(Resource): + @setup_required + @login_required + @account_initialization_required + @plugin_permission_required(debug_required=True) + def post(self): + req = reqparse.RequestParser() + req.add_argument("plugin_installation_id", type=str, required=True, location="json") + args = req.parse_args() + + tenant_id = current_user.current_tenant_id + + try: + return {"success": PluginService.uninstall(tenant_id, args["plugin_installation_id"])} + except PluginDaemonClientSideError as e: + raise ValueError(e) + + +class PluginChangePermissionApi(Resource): + @setup_required + @login_required + @account_initialization_required + def post(self): + user = current_user + if not user.is_admin_or_owner: + raise Forbidden() + + req = reqparse.RequestParser() + req.add_argument("install_permission", type=str, required=True, location="json") + req.add_argument("debug_permission", type=str, required=True, location="json") + args = req.parse_args() + + install_permission = TenantPluginPermission.InstallPermission(args["install_permission"]) + debug_permission = TenantPluginPermission.DebugPermission(args["debug_permission"]) + + tenant_id = user.current_tenant_id + + return {"success": PluginPermissionService.change_permission(tenant_id, install_permission, debug_permission)} + + +class PluginFetchPermissionApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self): + tenant_id = current_user.current_tenant_id + + permission = PluginPermissionService.get_permission(tenant_id) + if not permission: + return jsonable_encoder( + { + "install_permission": TenantPluginPermission.InstallPermission.EVERYONE, + "debug_permission": TenantPluginPermission.DebugPermission.EVERYONE, + } + ) + + return jsonable_encoder( + { + "install_permission": permission.install_permission, + "debug_permission": permission.debug_permission, + } + ) + + +api.add_resource(PluginDebuggingKeyApi, "/workspaces/current/plugin/debugging-key") +api.add_resource(PluginListApi, "/workspaces/current/plugin/list") +api.add_resource(PluginListInstallationsFromIdsApi, "/workspaces/current/plugin/list/installations/ids") +api.add_resource(PluginIconApi, "/workspaces/current/plugin/icon") +api.add_resource(PluginUploadFromPkgApi, "/workspaces/current/plugin/upload/pkg") +api.add_resource(PluginUploadFromGithubApi, "/workspaces/current/plugin/upload/github") +api.add_resource(PluginUploadFromBundleApi, "/workspaces/current/plugin/upload/bundle") +api.add_resource(PluginInstallFromPkgApi, "/workspaces/current/plugin/install/pkg") +api.add_resource(PluginInstallFromGithubApi, "/workspaces/current/plugin/install/github") +api.add_resource(PluginUpgradeFromMarketplaceApi, "/workspaces/current/plugin/upgrade/marketplace") +api.add_resource(PluginUpgradeFromGithubApi, "/workspaces/current/plugin/upgrade/github") +api.add_resource(PluginInstallFromMarketplaceApi, "/workspaces/current/plugin/install/marketplace") +api.add_resource(PluginFetchManifestApi, "/workspaces/current/plugin/fetch-manifest") +api.add_resource(PluginFetchInstallTasksApi, "/workspaces/current/plugin/tasks") +api.add_resource(PluginFetchInstallTaskApi, "/workspaces/current/plugin/tasks/") +api.add_resource(PluginDeleteInstallTaskApi, "/workspaces/current/plugin/tasks//delete") +api.add_resource(PluginDeleteAllInstallTaskItemsApi, "/workspaces/current/plugin/tasks/delete_all") +api.add_resource(PluginDeleteInstallTaskItemApi, "/workspaces/current/plugin/tasks//delete/") +api.add_resource(PluginUninstallApi, "/workspaces/current/plugin/uninstall") + +api.add_resource(PluginChangePermissionApi, "/workspaces/current/plugin/permission/change") +api.add_resource(PluginFetchPermissionApi, "/workspaces/current/plugin/permission/fetch") diff --git a/api/controllers/console/workspace/tool_providers.py b/api/controllers/console/workspace/tool_providers.py index 964f3862291a2e..39ab454922352f 100644 --- a/api/controllers/console/workspace/tool_providers.py +++ b/api/controllers/console/workspace/tool_providers.py @@ -25,8 +25,10 @@ class ToolProviderListApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id req = reqparse.RequestParser() req.add_argument( @@ -47,28 +49,43 @@ class ToolBuiltinProviderListToolsApi(Resource): @login_required @account_initialization_required def get(self, provider): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + tenant_id = user.current_tenant_id return jsonable_encoder( BuiltinToolManageService.list_builtin_tool_provider_tools( - user_id, tenant_id, provider, ) ) +class ToolBuiltinProviderInfoApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self, provider): + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id + + return jsonable_encoder(BuiltinToolManageService.get_builtin_tool_provider_info(user_id, tenant_id, provider)) + + class ToolBuiltinProviderDeleteApi(Resource): @setup_required @login_required @account_initialization_required def post(self, provider): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id return BuiltinToolManageService.delete_builtin_tool_provider( user_id, @@ -82,11 +99,13 @@ class ToolBuiltinProviderUpdateApi(Resource): @login_required @account_initialization_required def post(self, provider): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json") @@ -131,11 +150,13 @@ class ToolApiProviderAddApi(Resource): @login_required @account_initialization_required def post(self): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json") @@ -168,6 +189,11 @@ class ToolApiProviderGetRemoteSchemaApi(Resource): @login_required @account_initialization_required def get(self): + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id + parser = reqparse.RequestParser() parser.add_argument("url", type=str, required=True, nullable=False, location="args") @@ -175,8 +201,8 @@ def get(self): args = parser.parse_args() return ApiToolManageService.get_api_tool_provider_remote_schema( - current_user.id, - current_user.current_tenant_id, + user_id, + tenant_id, args["url"], ) @@ -186,8 +212,10 @@ class ToolApiProviderListToolsApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() @@ -209,11 +237,13 @@ class ToolApiProviderUpdateApi(Resource): @login_required @account_initialization_required def post(self): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() parser.add_argument("credentials", type=dict, required=True, nullable=False, location="json") @@ -248,11 +278,13 @@ class ToolApiProviderDeleteApi(Resource): @login_required @account_initialization_required def post(self): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() @@ -272,8 +304,10 @@ class ToolApiProviderGetApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() @@ -293,7 +327,11 @@ class ToolBuiltinProviderCredentialsSchemaApi(Resource): @login_required @account_initialization_required def get(self, provider): - return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider) + user = current_user + + tenant_id = user.current_tenant_id + + return BuiltinToolManageService.list_builtin_provider_credentials_schema(provider, tenant_id) class ToolApiProviderSchemaApi(Resource): @@ -344,11 +382,13 @@ class ToolWorkflowProviderCreateApi(Resource): @login_required @account_initialization_required def post(self): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id reqparser = reqparse.RequestParser() reqparser.add_argument("workflow_app_id", type=uuid_value, required=True, nullable=False, location="json") @@ -381,11 +421,13 @@ class ToolWorkflowProviderUpdateApi(Resource): @login_required @account_initialization_required def post(self): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id reqparser = reqparse.RequestParser() reqparser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="json") @@ -421,11 +463,13 @@ class ToolWorkflowProviderDeleteApi(Resource): @login_required @account_initialization_required def post(self): - if not current_user.is_admin_or_owner: + user = current_user + + if not user.is_admin_or_owner: raise Forbidden() - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user_id = user.id + tenant_id = user.current_tenant_id reqparser = reqparse.RequestParser() reqparser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="json") @@ -444,8 +488,10 @@ class ToolWorkflowProviderGetApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() parser.add_argument("workflow_tool_id", type=uuid_value, required=False, nullable=True, location="args") @@ -476,8 +522,10 @@ class ToolWorkflowProviderListToolApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id parser = reqparse.RequestParser() parser.add_argument("workflow_tool_id", type=uuid_value, required=True, nullable=False, location="args") @@ -498,8 +546,10 @@ class ToolBuiltinListApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id return jsonable_encoder( [ @@ -517,8 +567,10 @@ class ToolApiListApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id return jsonable_encoder( [ @@ -536,8 +588,10 @@ class ToolWorkflowListApi(Resource): @login_required @account_initialization_required def get(self): - user_id = current_user.id - tenant_id = current_user.current_tenant_id + user = current_user + + user_id = user.id + tenant_id = user.current_tenant_id return jsonable_encoder( [ @@ -563,16 +617,18 @@ def get(self): api.add_resource(ToolProviderListApi, "/workspaces/current/tool-providers") # builtin tool provider -api.add_resource(ToolBuiltinProviderListToolsApi, "/workspaces/current/tool-provider/builtin//tools") -api.add_resource(ToolBuiltinProviderDeleteApi, "/workspaces/current/tool-provider/builtin//delete") -api.add_resource(ToolBuiltinProviderUpdateApi, "/workspaces/current/tool-provider/builtin//update") +api.add_resource(ToolBuiltinProviderListToolsApi, "/workspaces/current/tool-provider/builtin//tools") +api.add_resource(ToolBuiltinProviderInfoApi, "/workspaces/current/tool-provider/builtin//info") +api.add_resource(ToolBuiltinProviderDeleteApi, "/workspaces/current/tool-provider/builtin//delete") +api.add_resource(ToolBuiltinProviderUpdateApi, "/workspaces/current/tool-provider/builtin//update") api.add_resource( - ToolBuiltinProviderGetCredentialsApi, "/workspaces/current/tool-provider/builtin//credentials" + ToolBuiltinProviderGetCredentialsApi, "/workspaces/current/tool-provider/builtin//credentials" ) api.add_resource( - ToolBuiltinProviderCredentialsSchemaApi, "/workspaces/current/tool-provider/builtin//credentials_schema" + ToolBuiltinProviderCredentialsSchemaApi, + "/workspaces/current/tool-provider/builtin//credentials_schema", ) -api.add_resource(ToolBuiltinProviderIconApi, "/workspaces/current/tool-provider/builtin//icon") +api.add_resource(ToolBuiltinProviderIconApi, "/workspaces/current/tool-provider/builtin//icon") # api tool provider api.add_resource(ToolApiProviderAddApi, "/workspaces/current/tool-provider/api/add") diff --git a/api/controllers/console/wraps.py b/api/controllers/console/wraps.py index 111db7ccf2da04..a6f64700f2a09e 100644 --- a/api/controllers/console/wraps.py +++ b/api/controllers/console/wraps.py @@ -7,6 +7,7 @@ from configs import dify_config from controllers.console.workspace.error import AccountNotInitializedError +from extensions.ext_database import db from models.model import DifySetup from services.feature_service import FeatureService, LicenseStatus from services.operation_service import OperationService @@ -134,9 +135,13 @@ def setup_required(view): @wraps(view) def decorated(*args, **kwargs): # check setup - if dify_config.EDITION == "SELF_HOSTED" and os.environ.get("INIT_PASSWORD") and not DifySetup.query.first(): + if ( + dify_config.EDITION == "SELF_HOSTED" + and os.environ.get("INIT_PASSWORD") + and not db.session.query(DifySetup).first() + ): raise NotInitValidateError() - elif dify_config.EDITION == "SELF_HOSTED" and not DifySetup.query.first(): + elif dify_config.EDITION == "SELF_HOSTED" and not db.session.query(DifySetup).first(): raise NotSetupError() return view(*args, **kwargs) diff --git a/api/controllers/files/__init__.py b/api/controllers/files/__init__.py index 97d5c3f88fb522..d4c32457082575 100644 --- a/api/controllers/files/__init__.py +++ b/api/controllers/files/__init__.py @@ -6,4 +6,4 @@ api = ExternalApi(bp) -from . import image_preview, tool_files +from . import image_preview, tool_files, upload diff --git a/api/controllers/files/upload.py b/api/controllers/files/upload.py new file mode 100644 index 00000000000000..ca5ea54435ecfd --- /dev/null +++ b/api/controllers/files/upload.py @@ -0,0 +1,69 @@ +from flask import request +from flask_restful import Resource, marshal_with # type: ignore +from werkzeug.exceptions import Forbidden + +import services +from controllers.console.wraps import setup_required +from controllers.files import api +from controllers.files.error import UnsupportedFileTypeError +from controllers.inner_api.plugin.wraps import get_user +from controllers.service_api.app.error import FileTooLargeError +from core.file.helpers import verify_plugin_file_signature +from fields.file_fields import file_fields +from services.file_service import FileService + + +class PluginUploadFileApi(Resource): + @setup_required + @marshal_with(file_fields) + def post(self): + # get file from request + file = request.files["file"] + + timestamp = request.args.get("timestamp") + nonce = request.args.get("nonce") + sign = request.args.get("sign") + tenant_id = request.args.get("tenant_id") + if not tenant_id: + raise Forbidden("Invalid request.") + + user_id = request.args.get("user_id") + user = get_user(tenant_id, user_id) + + filename = file.filename + mimetype = file.mimetype + + if not filename or not mimetype: + raise Forbidden("Invalid request.") + + if not timestamp or not nonce or not sign: + raise Forbidden("Invalid request.") + + if not verify_plugin_file_signature( + filename=filename, + mimetype=mimetype, + tenant_id=tenant_id, + user_id=user_id, + timestamp=timestamp, + nonce=nonce, + sign=sign, + ): + raise Forbidden("Invalid request.") + + try: + upload_file = FileService.upload_file( + filename=filename, + content=file.read(), + mimetype=mimetype, + user=user, + source=None, + ) + except services.errors.file.FileTooLargeError as file_too_large_error: + raise FileTooLargeError(file_too_large_error.description) + except services.errors.file.UnsupportedFileTypeError: + raise UnsupportedFileTypeError() + + return upload_file, 201 + + +api.add_resource(PluginUploadFileApi, "/files/upload/for-plugin") diff --git a/api/controllers/inner_api/__init__.py b/api/controllers/inner_api/__init__.py index 9f124736a966ea..f147a3453fc072 100644 --- a/api/controllers/inner_api/__init__.py +++ b/api/controllers/inner_api/__init__.py @@ -5,4 +5,5 @@ bp = Blueprint("inner_api", __name__, url_prefix="/inner/api") api = ExternalApi(bp) +from .plugin import plugin from .workspace import workspace diff --git a/api/core/model_runtime/model_providers/anthropic/__init__.py b/api/controllers/inner_api/plugin/__init__.py similarity index 100% rename from api/core/model_runtime/model_providers/anthropic/__init__.py rename to api/controllers/inner_api/plugin/__init__.py diff --git a/api/controllers/inner_api/plugin/plugin.py b/api/controllers/inner_api/plugin/plugin.py new file mode 100644 index 00000000000000..fe892922e98494 --- /dev/null +++ b/api/controllers/inner_api/plugin/plugin.py @@ -0,0 +1,293 @@ +from flask_restful import Resource # type: ignore + +from controllers.console.wraps import setup_required +from controllers.inner_api import api +from controllers.inner_api.plugin.wraps import get_user_tenant, plugin_data +from controllers.inner_api.wraps import plugin_inner_api_only +from core.file.helpers import get_signed_file_url_for_plugin +from core.model_runtime.utils.encoders import jsonable_encoder +from core.plugin.backwards_invocation.app import PluginAppBackwardsInvocation +from core.plugin.backwards_invocation.base import BaseBackwardsInvocationResponse +from core.plugin.backwards_invocation.encrypt import PluginEncrypter +from core.plugin.backwards_invocation.model import PluginModelBackwardsInvocation +from core.plugin.backwards_invocation.node import PluginNodeBackwardsInvocation +from core.plugin.backwards_invocation.tool import PluginToolBackwardsInvocation +from core.plugin.entities.request import ( + RequestInvokeApp, + RequestInvokeEncrypt, + RequestInvokeLLM, + RequestInvokeModeration, + RequestInvokeParameterExtractorNode, + RequestInvokeQuestionClassifierNode, + RequestInvokeRerank, + RequestInvokeSpeech2Text, + RequestInvokeSummary, + RequestInvokeTextEmbedding, + RequestInvokeTool, + RequestInvokeTTS, + RequestRequestUploadFile, +) +from core.tools.entities.tool_entities import ToolProviderType +from libs.helper import compact_generate_response +from models.account import Account, Tenant +from models.model import EndUser + + +class PluginInvokeLLMApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeLLM) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeLLM): + def generator(): + response = PluginModelBackwardsInvocation.invoke_llm(user_model.id, tenant_model, payload) + return PluginModelBackwardsInvocation.convert_to_event_stream(response) + + return compact_generate_response(generator()) + + +class PluginInvokeTextEmbeddingApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeTextEmbedding) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTextEmbedding): + try: + return jsonable_encoder( + BaseBackwardsInvocationResponse( + data=PluginModelBackwardsInvocation.invoke_text_embedding( + user_id=user_model.id, + tenant=tenant_model, + payload=payload, + ) + ) + ) + except Exception as e: + return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e))) + + +class PluginInvokeRerankApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeRerank) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeRerank): + try: + return jsonable_encoder( + BaseBackwardsInvocationResponse( + data=PluginModelBackwardsInvocation.invoke_rerank( + user_id=user_model.id, + tenant=tenant_model, + payload=payload, + ) + ) + ) + except Exception as e: + return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e))) + + +class PluginInvokeTTSApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeTTS) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTTS): + def generator(): + response = PluginModelBackwardsInvocation.invoke_tts( + user_id=user_model.id, + tenant=tenant_model, + payload=payload, + ) + return PluginModelBackwardsInvocation.convert_to_event_stream(response) + + return compact_generate_response(generator()) + + +class PluginInvokeSpeech2TextApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeSpeech2Text) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeSpeech2Text): + try: + return jsonable_encoder( + BaseBackwardsInvocationResponse( + data=PluginModelBackwardsInvocation.invoke_speech2text( + user_id=user_model.id, + tenant=tenant_model, + payload=payload, + ) + ) + ) + except Exception as e: + return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e))) + + +class PluginInvokeModerationApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeModeration) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeModeration): + try: + return jsonable_encoder( + BaseBackwardsInvocationResponse( + data=PluginModelBackwardsInvocation.invoke_moderation( + user_id=user_model.id, + tenant=tenant_model, + payload=payload, + ) + ) + ) + except Exception as e: + return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e))) + + +class PluginInvokeToolApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeTool) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeTool): + def generator(): + return PluginToolBackwardsInvocation.convert_to_event_stream( + PluginToolBackwardsInvocation.invoke_tool( + tenant_id=tenant_model.id, + user_id=user_model.id, + tool_type=ToolProviderType.value_of(payload.tool_type), + provider=payload.provider, + tool_name=payload.tool, + tool_parameters=payload.tool_parameters, + ), + ) + + return compact_generate_response(generator()) + + +class PluginInvokeParameterExtractorNodeApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeParameterExtractorNode) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeParameterExtractorNode): + try: + return jsonable_encoder( + BaseBackwardsInvocationResponse( + data=PluginNodeBackwardsInvocation.invoke_parameter_extractor( + tenant_id=tenant_model.id, + user_id=user_model.id, + parameters=payload.parameters, + model_config=payload.model, + instruction=payload.instruction, + query=payload.query, + ) + ) + ) + except Exception as e: + return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e))) + + +class PluginInvokeQuestionClassifierNodeApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeQuestionClassifierNode) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeQuestionClassifierNode): + try: + return jsonable_encoder( + BaseBackwardsInvocationResponse( + data=PluginNodeBackwardsInvocation.invoke_question_classifier( + tenant_id=tenant_model.id, + user_id=user_model.id, + query=payload.query, + model_config=payload.model, + classes=payload.classes, + instruction=payload.instruction, + ) + ) + ) + except Exception as e: + return jsonable_encoder(BaseBackwardsInvocationResponse(error=str(e))) + + +class PluginInvokeAppApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeApp) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeApp): + response = PluginAppBackwardsInvocation.invoke_app( + app_id=payload.app_id, + user_id=user_model.id, + tenant_id=tenant_model.id, + conversation_id=payload.conversation_id, + query=payload.query, + stream=payload.response_mode == "streaming", + inputs=payload.inputs, + files=payload.files, + ) + + return compact_generate_response(PluginAppBackwardsInvocation.convert_to_event_stream(response)) + + +class PluginInvokeEncryptApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeEncrypt) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeEncrypt): + """ + encrypt or decrypt data + """ + try: + return BaseBackwardsInvocationResponse( + data=PluginEncrypter.invoke_encrypt(tenant_model, payload) + ).model_dump() + except Exception as e: + return BaseBackwardsInvocationResponse(error=str(e)).model_dump() + + +class PluginInvokeSummaryApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeSummary) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeSummary): + try: + return BaseBackwardsInvocationResponse( + data={ + "summary": PluginModelBackwardsInvocation.invoke_summary( + user_id=user_model.id, + tenant=tenant_model, + payload=payload, + ) + } + ).model_dump() + except Exception as e: + return BaseBackwardsInvocationResponse(error=str(e)).model_dump() + + +class PluginUploadFileRequestApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestRequestUploadFile) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestRequestUploadFile): + # generate signed url + url = get_signed_file_url_for_plugin(payload.filename, payload.mimetype, tenant_model.id, user_model.id) + return BaseBackwardsInvocationResponse(data={"url": url}).model_dump() + + +api.add_resource(PluginInvokeLLMApi, "/invoke/llm") +api.add_resource(PluginInvokeTextEmbeddingApi, "/invoke/text-embedding") +api.add_resource(PluginInvokeRerankApi, "/invoke/rerank") +api.add_resource(PluginInvokeTTSApi, "/invoke/tts") +api.add_resource(PluginInvokeSpeech2TextApi, "/invoke/speech2text") +api.add_resource(PluginInvokeModerationApi, "/invoke/moderation") +api.add_resource(PluginInvokeToolApi, "/invoke/tool") +api.add_resource(PluginInvokeParameterExtractorNodeApi, "/invoke/parameter-extractor") +api.add_resource(PluginInvokeQuestionClassifierNodeApi, "/invoke/question-classifier") +api.add_resource(PluginInvokeAppApi, "/invoke/app") +api.add_resource(PluginInvokeEncryptApi, "/invoke/encrypt") +api.add_resource(PluginInvokeSummaryApi, "/invoke/summary") +api.add_resource(PluginUploadFileRequestApi, "/upload/file/request") diff --git a/api/controllers/inner_api/plugin/wraps.py b/api/controllers/inner_api/plugin/wraps.py new file mode 100644 index 00000000000000..c31f9d22ed6da5 --- /dev/null +++ b/api/controllers/inner_api/plugin/wraps.py @@ -0,0 +1,116 @@ +from collections.abc import Callable +from functools import wraps +from typing import Optional + +from flask import request +from flask_restful import reqparse # type: ignore +from pydantic import BaseModel +from sqlalchemy.orm import Session + +from extensions.ext_database import db +from models.account import Account, Tenant +from models.model import EndUser +from services.account_service import AccountService + + +def get_user(tenant_id: str, user_id: str | None) -> Account | EndUser: + try: + with Session(db.engine) as session: + if not user_id: + user_id = "DEFAULT-USER" + + if user_id == "DEFAULT-USER": + user_model = session.query(EndUser).filter(EndUser.session_id == "DEFAULT-USER").first() + if not user_model: + user_model = EndUser( + tenant_id=tenant_id, + type="service_api", + is_anonymous=True if user_id == "DEFAULT-USER" else False, + session_id=user_id, + ) + session.add(user_model) + session.commit() + else: + user_model = AccountService.load_user(user_id) + if not user_model: + user_model = session.query(EndUser).filter(EndUser.id == user_id).first() + if not user_model: + raise ValueError("user not found") + except Exception: + raise ValueError("user not found") + + return user_model + + +def get_user_tenant(view: Optional[Callable] = None): + def decorator(view_func): + @wraps(view_func) + def decorated_view(*args, **kwargs): + # fetch json body + parser = reqparse.RequestParser() + parser.add_argument("tenant_id", type=str, required=True, location="json") + parser.add_argument("user_id", type=str, required=True, location="json") + + kwargs = parser.parse_args() + + user_id = kwargs.get("user_id") + tenant_id = kwargs.get("tenant_id") + + if not tenant_id: + raise ValueError("tenant_id is required") + + if not user_id: + user_id = "DEFAULT-USER" + + del kwargs["tenant_id"] + del kwargs["user_id"] + + try: + tenant_model = ( + db.session.query(Tenant) + .filter( + Tenant.id == tenant_id, + ) + .first() + ) + except Exception: + raise ValueError("tenant not found") + + if not tenant_model: + raise ValueError("tenant not found") + + kwargs["tenant_model"] = tenant_model + kwargs["user_model"] = get_user(tenant_id, user_id) + + return view_func(*args, **kwargs) + + return decorated_view + + if view is None: + return decorator + else: + return decorator(view) + + +def plugin_data(view: Optional[Callable] = None, *, payload_type: type[BaseModel]): + def decorator(view_func): + def decorated_view(*args, **kwargs): + try: + data = request.get_json() + except Exception: + raise ValueError("invalid json") + + try: + payload = payload_type(**data) + except Exception as e: + raise ValueError(f"invalid payload: {str(e)}") + + kwargs["payload"] = payload + return view_func(*args, **kwargs) + + return decorated_view + + if view is None: + return decorator + else: + return decorator(view) diff --git a/api/controllers/inner_api/workspace/workspace.py b/api/controllers/inner_api/workspace/workspace.py index f6c594863e8049..436854698e6568 100644 --- a/api/controllers/inner_api/workspace/workspace.py +++ b/api/controllers/inner_api/workspace/workspace.py @@ -4,7 +4,7 @@ from controllers.console.wraps import setup_required from controllers.inner_api import api -from controllers.inner_api.wraps import inner_api_only +from controllers.inner_api.wraps import enterprise_inner_api_only from events.tenant_event import tenant_was_created from models.account import Account from services.account_service import TenantService @@ -12,7 +12,7 @@ class EnterpriseWorkspace(Resource): @setup_required - @inner_api_only + @enterprise_inner_api_only def post(self): parser = reqparse.RequestParser() parser.add_argument("name", type=str, required=True, location="json") @@ -33,7 +33,7 @@ def post(self): class EnterpriseWorkspaceNoOwnerEmail(Resource): @setup_required - @inner_api_only + @enterprise_inner_api_only def post(self): parser = reqparse.RequestParser() parser.add_argument("name", type=str, required=True, location="json") diff --git a/api/controllers/inner_api/wraps.py b/api/controllers/inner_api/wraps.py index d4587235f6aef8..86d3ad3dc5ec96 100644 --- a/api/controllers/inner_api/wraps.py +++ b/api/controllers/inner_api/wraps.py @@ -10,7 +10,7 @@ from models.model import EndUser -def inner_api_only(view): +def enterprise_inner_api_only(view): @wraps(view) def decorated(*args, **kwargs): if not dify_config.INNER_API: @@ -18,7 +18,7 @@ def decorated(*args, **kwargs): # get header 'X-Inner-Api-Key' inner_api_key = request.headers.get("X-Inner-Api-Key") - if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY: + if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY_FOR_PLUGIN: abort(401) return view(*args, **kwargs) @@ -26,7 +26,7 @@ def decorated(*args, **kwargs): return decorated -def inner_api_user_auth(view): +def enterprise_inner_api_user_auth(view): @wraps(view) def decorated(*args, **kwargs): if not dify_config.INNER_API: @@ -60,3 +60,19 @@ def decorated(*args, **kwargs): return view(*args, **kwargs) return decorated + + +def plugin_inner_api_only(view): + @wraps(view) + def decorated(*args, **kwargs): + if not dify_config.PLUGIN_DAEMON_KEY: + abort(404) + + # get header 'X-Inner-Api-Key' + inner_api_key = request.headers.get("X-Inner-Api-Key") + if not inner_api_key or inner_api_key != dify_config.INNER_API_KEY_FOR_PLUGIN: + abort(404) + + return view(*args, **kwargs) + + return decorated diff --git a/api/core/agent/base_agent_runner.py b/api/core/agent/base_agent_runner.py index ae086ba8ed66ec..13c4e4c3d18c05 100644 --- a/api/core/agent/base_agent_runner.py +++ b/api/core/agent/base_agent_runner.py @@ -1,7 +1,6 @@ import json import logging import uuid -from datetime import UTC, datetime from typing import Optional, Union, cast from core.agent.entities import AgentEntity, AgentToolEntity @@ -32,19 +31,16 @@ from core.model_runtime.entities.message_entities import ImagePromptMessageContent from core.model_runtime.entities.model_entities import ModelFeature from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.utils.encoders import jsonable_encoder from core.prompt.utils.extract_thread_messages import extract_thread_messages +from core.tools.__base.tool import Tool from core.tools.entities.tool_entities import ( ToolParameter, - ToolRuntimeVariablePool, ) -from core.tools.tool.dataset_retriever_tool import DatasetRetrieverTool -from core.tools.tool.tool import Tool from core.tools.tool_manager import ToolManager +from core.tools.utils.dataset_retriever_tool import DatasetRetrieverTool from extensions.ext_database import db from factories import file_factory from models.model import Conversation, Message, MessageAgentThought, MessageFile -from models.tools import ToolConversationVariables logger = logging.getLogger(__name__) @@ -62,11 +58,9 @@ def __init__( queue_manager: AppQueueManager, message: Message, user_id: str, + model_instance: ModelInstance, memory: Optional[TokenBufferMemory] = None, prompt_messages: Optional[list[PromptMessage]] = None, - variables_pool: Optional[ToolRuntimeVariablePool] = None, - db_variables: Optional[ToolConversationVariables] = None, - model_instance: ModelInstance, ) -> None: self.tenant_id = tenant_id self.application_generate_entity = application_generate_entity @@ -79,8 +73,6 @@ def __init__( self.user_id = user_id self.memory = memory self.history_prompt_messages = self.organize_agent_history(prompt_messages=prompt_messages or []) - self.variables_pool = variables_pool - self.db_variables_pool = db_variables self.model_instance = model_instance # init callback @@ -141,11 +133,10 @@ def _convert_tool_to_prompt_message_tool(self, tool: AgentToolEntity) -> tuple[P agent_tool=tool, invoke_from=self.application_generate_entity.invoke_from, ) - tool_entity.load_variables(self.variables_pool) - + assert tool_entity.entity.description message_tool = PromptMessageTool( name=tool.tool_name, - description=tool_entity.description.llm if tool_entity.description else "", + description=tool_entity.entity.description.llm, parameters={ "type": "object", "properties": {}, @@ -153,7 +144,7 @@ def _convert_tool_to_prompt_message_tool(self, tool: AgentToolEntity) -> tuple[P }, ) - parameters = tool_entity.get_all_runtime_parameters() + parameters = tool_entity.get_merged_runtime_parameters() for parameter in parameters: if parameter.form != ToolParameter.ToolParameterForm.LLM: continue @@ -186,9 +177,11 @@ def _convert_dataset_retriever_tool_to_prompt_message_tool(self, tool: DatasetRe """ convert dataset retriever tool to prompt message tool """ + assert tool.entity.description + prompt_tool = PromptMessageTool( - name=tool.identity.name if tool.identity else "unknown", - description=tool.description.llm if tool.description else "", + name=tool.entity.identity.name, + description=tool.entity.description.llm, parameters={ "type": "object", "properties": {}, @@ -234,8 +227,7 @@ def _init_prompt_tools(self) -> tuple[dict[str, Tool], list[PromptMessageTool]]: # save prompt tool prompt_messages_tools.append(prompt_tool) # save tool entity - if dataset_tool.identity is not None: - tool_instances[dataset_tool.identity.name] = dataset_tool + tool_instances[dataset_tool.entity.identity.name] = dataset_tool return tool_instances, prompt_messages_tools @@ -320,24 +312,24 @@ def create_agent_thought( def save_agent_thought( self, agent_thought: MessageAgentThought, - tool_name: str, - tool_input: Union[str, dict], - thought: str, + tool_name: str | None, + tool_input: Union[str, dict, None], + thought: str | None, observation: Union[str, dict, None], tool_invoke_meta: Union[str, dict, None], - answer: str, + answer: str | None, messages_ids: list[str], llm_usage: LLMUsage | None = None, ): """ Save agent thought """ - queried_thought = ( + updated_agent_thought = ( db.session.query(MessageAgentThought).filter(MessageAgentThought.id == agent_thought.id).first() ) - if not queried_thought: - raise ValueError(f"Agent thought {agent_thought.id} not found") - agent_thought = queried_thought + if not updated_agent_thought: + raise ValueError("agent thought not found") + agent_thought = updated_agent_thought if thought: agent_thought.thought = thought @@ -349,39 +341,39 @@ def save_agent_thought( if isinstance(tool_input, dict): try: tool_input = json.dumps(tool_input, ensure_ascii=False) - except Exception as e: + except Exception: tool_input = json.dumps(tool_input) - agent_thought.tool_input = tool_input + updated_agent_thought.tool_input = tool_input if observation: if isinstance(observation, dict): try: observation = json.dumps(observation, ensure_ascii=False) - except Exception as e: + except Exception: observation = json.dumps(observation) - agent_thought.observation = observation + updated_agent_thought.observation = observation if answer: agent_thought.answer = answer if messages_ids is not None and len(messages_ids) > 0: - agent_thought.message_files = json.dumps(messages_ids) + updated_agent_thought.message_files = json.dumps(messages_ids) if llm_usage: - agent_thought.message_token = llm_usage.prompt_tokens - agent_thought.message_price_unit = llm_usage.prompt_price_unit - agent_thought.message_unit_price = llm_usage.prompt_unit_price - agent_thought.answer_token = llm_usage.completion_tokens - agent_thought.answer_price_unit = llm_usage.completion_price_unit - agent_thought.answer_unit_price = llm_usage.completion_unit_price - agent_thought.tokens = llm_usage.total_tokens - agent_thought.total_price = llm_usage.total_price + updated_agent_thought.message_token = llm_usage.prompt_tokens + updated_agent_thought.message_price_unit = llm_usage.prompt_price_unit + updated_agent_thought.message_unit_price = llm_usage.prompt_unit_price + updated_agent_thought.answer_token = llm_usage.completion_tokens + updated_agent_thought.answer_price_unit = llm_usage.completion_price_unit + updated_agent_thought.answer_unit_price = llm_usage.completion_unit_price + updated_agent_thought.tokens = llm_usage.total_tokens + updated_agent_thought.total_price = llm_usage.total_price # check if tool labels is not empty - labels = agent_thought.tool_labels or {} - tools = agent_thought.tool.split(";") if agent_thought.tool else [] + labels = updated_agent_thought.tool_labels or {} + tools = updated_agent_thought.tool.split(";") if updated_agent_thought.tool else [] for tool in tools: if not tool: continue @@ -392,39 +384,17 @@ def save_agent_thought( else: labels[tool] = {"en_US": tool, "zh_Hans": tool} - agent_thought.tool_labels_str = json.dumps(labels) + updated_agent_thought.tool_labels_str = json.dumps(labels) if tool_invoke_meta is not None: if isinstance(tool_invoke_meta, dict): try: tool_invoke_meta = json.dumps(tool_invoke_meta, ensure_ascii=False) - except Exception as e: + except Exception: tool_invoke_meta = json.dumps(tool_invoke_meta) - agent_thought.tool_meta_str = tool_invoke_meta - - db.session.commit() - db.session.close() - - def update_db_variables(self, tool_variables: ToolRuntimeVariablePool, db_variables: ToolConversationVariables): - """ - convert tool variables to db variables - """ - queried_variables = ( - db.session.query(ToolConversationVariables) - .filter( - ToolConversationVariables.conversation_id == self.message.conversation_id, - ) - .first() - ) - - if not queried_variables: - return + updated_agent_thought.tool_meta_str = tool_invoke_meta - db_variables = queried_variables - - db_variables.updated_at = datetime.now(UTC).replace(tzinfo=None) - db_variables.variables_str = json.dumps(jsonable_encoder(tool_variables.pool)) db.session.commit() db.session.close() @@ -464,11 +434,11 @@ def organize_agent_history(self, prompt_messages: list[PromptMessage]) -> list[P tool_call_response: list[ToolPromptMessage] = [] try: tool_inputs = json.loads(agent_thought.tool_input) - except Exception as e: + except Exception: tool_inputs = {tool: {} for tool in tools} try: tool_responses = json.loads(agent_thought.observation) - except Exception as e: + except Exception: tool_responses = dict.fromkeys(tools, agent_thought.observation) for tool in tools: @@ -515,7 +485,11 @@ def organize_agent_user_prompt(self, message: Message) -> UserPromptMessage: files = db.session.query(MessageFile).filter(MessageFile.message_id == message.id).all() if not files: return UserPromptMessage(content=message.query) - file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict()) + if message.app_model_config: + file_extra_config = FileUploadConfigManager.convert(message.app_model_config.to_dict()) + else: + file_extra_config = None + if not file_extra_config: return UserPromptMessage(content=message.query) diff --git a/api/core/agent/cot_agent_runner.py b/api/core/agent/cot_agent_runner.py index bbe1865daf058c..ae70ff2bf183ae 100644 --- a/api/core/agent/cot_agent_runner.py +++ b/api/core/agent/cot_agent_runner.py @@ -1,6 +1,6 @@ import json from abc import ABC, abstractmethod -from collections.abc import Generator, Mapping +from collections.abc import Generator, Mapping, Sequence from typing import Any, Optional from core.agent.base_agent_runner import BaseAgentRunner @@ -18,8 +18,8 @@ ) from core.ops.ops_trace_manager import TraceQueueManager from core.prompt.agent_history_prompt_transform import AgentHistoryPromptTransform +from core.tools.__base.tool import Tool from core.tools.entities.tool_entities import ToolInvokeMeta -from core.tools.tool.tool import Tool from core.tools.tool_engine import ToolEngine from models.model import Message @@ -27,11 +27,11 @@ class CotAgentRunner(BaseAgentRunner, ABC): _is_first_iteration = True _ignore_observation_providers = ["wenxin"] - _historic_prompt_messages: list[PromptMessage] | None = None - _agent_scratchpad: list[AgentScratchpadUnit] | None = None - _instruction: str = "" # FIXME this must be str for now - _query: str | None = None - _prompt_messages_tools: list[PromptMessageTool] = [] + _historic_prompt_messages: list[PromptMessage] + _agent_scratchpad: list[AgentScratchpadUnit] + _instruction: str + _query: str + _prompt_messages_tools: Sequence[PromptMessageTool] def run( self, @@ -42,6 +42,7 @@ def run( """ Run Cot agent application """ + app_generate_entity = self.application_generate_entity self._repack_app_generate_entity(app_generate_entity) self._init_react_state(query) @@ -54,17 +55,19 @@ def run( app_generate_entity.model_conf.stop.append("Observation") app_config = self.app_config + assert app_config.agent # init instruction inputs = inputs or {} - instruction = app_config.prompt_template.simple_prompt_template - self._instruction = self._fill_in_inputs_from_external_data_tools(instruction=instruction or "", inputs=inputs) + instruction = app_config.prompt_template.simple_prompt_template or "" + self._instruction = self._fill_in_inputs_from_external_data_tools(instruction, inputs) iteration_step = 1 max_iteration_steps = min(app_config.agent.max_iteration if app_config.agent else 5, 5) + 1 # convert tools into ModelRuntime Tool format - tool_instances, self._prompt_messages_tools = self._init_prompt_tools() + tool_instances, prompt_messages_tools = self._init_prompt_tools() + self._prompt_messages_tools = prompt_messages_tools function_call_state = True llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None} @@ -116,14 +119,7 @@ def increase_usage(final_llm_usage_dict: dict[str, Optional[LLMUsage]], usage: L callbacks=[], ) - if not isinstance(chunks, Generator): - raise ValueError("Expected streaming response from LLM") - - # check llm result - if not chunks: - raise ValueError("failed to invoke llm") - - usage_dict: dict[str, Optional[LLMUsage]] = {"usage": None} + usage_dict: dict[str, Optional[LLMUsage]] = {} react_chunks = CotAgentOutputParser.handle_react_stream_output(chunks, usage_dict) scratchpad = AgentScratchpadUnit( agent_response="", @@ -143,25 +139,25 @@ def increase_usage(final_llm_usage_dict: dict[str, Optional[LLMUsage]], usage: L if isinstance(chunk, AgentScratchpadUnit.Action): action = chunk # detect action - if scratchpad.agent_response is not None: - scratchpad.agent_response += json.dumps(chunk.model_dump()) + assert scratchpad.agent_response is not None + scratchpad.agent_response += json.dumps(chunk.model_dump()) scratchpad.action_str = json.dumps(chunk.model_dump()) scratchpad.action = action else: - if scratchpad.agent_response is not None: - scratchpad.agent_response += chunk - if scratchpad.thought is not None: - scratchpad.thought += chunk + assert scratchpad.agent_response is not None + scratchpad.agent_response += chunk + assert scratchpad.thought is not None + scratchpad.thought += chunk yield LLMResultChunk( model=self.model_config.model, prompt_messages=prompt_messages, system_fingerprint="", delta=LLMResultChunkDelta(index=0, message=AssistantPromptMessage(content=chunk), usage=None), ) - if scratchpad.thought is not None: - scratchpad.thought = scratchpad.thought.strip() or "I am thinking about how to help you" - if self._agent_scratchpad is not None: - self._agent_scratchpad.append(scratchpad) + + assert scratchpad.thought is not None + scratchpad.thought = scratchpad.thought.strip() or "I am thinking about how to help you" + self._agent_scratchpad.append(scratchpad) # get llm usage if "usage" in usage_dict: @@ -256,8 +252,6 @@ def increase_usage(final_llm_usage_dict: dict[str, Optional[LLMUsage]], usage: L answer=final_answer, messages_ids=[], ) - if self.variables_pool is not None and self.db_variables_pool is not None: - self.update_db_variables(self.variables_pool, self.db_variables_pool) # publish end event self.queue_manager.publish( QueueMessageEndEvent( @@ -275,7 +269,7 @@ def increase_usage(final_llm_usage_dict: dict[str, Optional[LLMUsage]], usage: L def _handle_invoke_action( self, action: AgentScratchpadUnit.Action, - tool_instances: dict[str, Tool], + tool_instances: Mapping[str, Tool], message_file_ids: list[str], trace_manager: Optional[TraceQueueManager] = None, ) -> tuple[str, ToolInvokeMeta]: @@ -315,11 +309,7 @@ def _handle_invoke_action( ) # publish files - for message_file_id, save_as in message_files: - if save_as is not None and self.variables_pool: - # FIXME the save_as type is confusing, it should be a string or not - self.variables_pool.set_file(tool_name=tool_call_name, value=message_file_id, name=str(save_as)) - + for message_file_id in message_files: # publish message file self.queue_manager.publish( QueueMessageFileEvent(message_file_id=message_file_id), PublishFrom.APPLICATION_MANAGER @@ -342,7 +332,7 @@ def _fill_in_inputs_from_external_data_tools(self, instruction: str, inputs: Map for key, value in inputs.items(): try: instruction = instruction.replace(f"{{{{{key}}}}}", str(value)) - except Exception as e: + except Exception: continue return instruction @@ -379,7 +369,7 @@ def _format_assistant_message(self, agent_scratchpad: list[AgentScratchpadUnit]) return message def _organize_historic_prompt_messages( - self, current_session_messages: Optional[list[PromptMessage]] = None + self, current_session_messages: list[PromptMessage] | None = None ) -> list[PromptMessage]: """ organize historic prompt messages @@ -391,8 +381,7 @@ def _organize_historic_prompt_messages( for message in self.history_prompt_messages: if isinstance(message, AssistantPromptMessage): if not current_scratchpad: - if not isinstance(message.content, str | None): - raise NotImplementedError("expected str type") + assert isinstance(message.content, str) current_scratchpad = AgentScratchpadUnit( agent_response=message.content, thought=message.content or "I am thinking about how to help you", @@ -411,9 +400,8 @@ def _organize_historic_prompt_messages( except: pass elif isinstance(message, ToolPromptMessage): - if not current_scratchpad: - continue - if isinstance(message.content, str): + if current_scratchpad: + assert isinstance(message.content, str) current_scratchpad.observation = message.content else: raise NotImplementedError("expected str type") diff --git a/api/core/agent/cot_chat_agent_runner.py b/api/core/agent/cot_chat_agent_runner.py index 6a96c349b2611c..7d407a49768cbd 100644 --- a/api/core/agent/cot_chat_agent_runner.py +++ b/api/core/agent/cot_chat_agent_runner.py @@ -19,8 +19,8 @@ def _organize_system_prompt(self) -> SystemPromptMessage: """ Organize system prompt """ - if not self.app_config.agent: - raise ValueError("Agent configuration is not set") + assert self.app_config.agent + assert self.app_config.agent.prompt prompt_entity = self.app_config.agent.prompt if not prompt_entity: @@ -83,8 +83,10 @@ def _organize_prompt_messages(self) -> list[PromptMessage]: assistant_message.content = "" # FIXME: type check tell mypy that assistant_message.content is str for unit in agent_scratchpad: if unit.is_final(): + assert isinstance(assistant_message.content, str) assistant_message.content += f"Final Answer: {unit.agent_response}" else: + assert isinstance(assistant_message.content, str) assistant_message.content += f"Thought: {unit.thought}\n\n" if unit.action_str: assistant_message.content += f"Action: {unit.action_str}\n\n" diff --git a/api/core/agent/entities.py b/api/core/agent/entities.py index 2ae87dca3f8cbd..5c7cee3a7850d2 100644 --- a/api/core/agent/entities.py +++ b/api/core/agent/entities.py @@ -1,18 +1,21 @@ -from enum import Enum -from typing import Any, Literal, Optional, Union +from enum import StrEnum +from typing import Any, Optional, Union from pydantic import BaseModel +from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType + class AgentToolEntity(BaseModel): """ Agent Tool Entity. """ - provider_type: Literal["builtin", "api", "workflow"] + provider_type: ToolProviderType provider_id: str tool_name: str tool_parameters: dict[str, Any] = {} + plugin_unique_identifier: str | None = None class AgentPromptEntity(BaseModel): @@ -66,7 +69,7 @@ class AgentEntity(BaseModel): Agent Entity. """ - class Strategy(Enum): + class Strategy(StrEnum): """ Agent Strategy. """ @@ -78,5 +81,13 @@ class Strategy(Enum): model: str strategy: Strategy prompt: Optional[AgentPromptEntity] = None - tools: list[AgentToolEntity] | None = None + tools: Optional[list[AgentToolEntity]] = None max_iteration: int = 5 + + +class AgentInvokeMessage(ToolInvokeMessage): + """ + Agent Invoke Message. + """ + + pass diff --git a/api/core/agent/fc_agent_runner.py b/api/core/agent/fc_agent_runner.py index b862c96072aaa0..f45fa5c66e49ed 100644 --- a/api/core/agent/fc_agent_runner.py +++ b/api/core/agent/fc_agent_runner.py @@ -46,18 +46,20 @@ def run(self, message: Message, query: str, **kwargs: Any) -> Generator[LLMResul # convert tools into ModelRuntime Tool format tool_instances, prompt_messages_tools = self._init_prompt_tools() + assert app_config.agent + iteration_step = 1 max_iteration_steps = min(app_config.agent.max_iteration, 5) + 1 # continue to run until there is not any tool call function_call_state = True - llm_usage: dict[str, LLMUsage] = {"usage": LLMUsage.empty_usage()} + llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None} final_answer = "" # get tracing instance trace_manager = app_generate_entity.trace_manager - def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): + def increase_usage(final_llm_usage_dict: dict[str, Optional[LLMUsage]], usage: LLMUsage): if not final_llm_usage_dict["usage"]: final_llm_usage_dict["usage"] = usage else: @@ -107,7 +109,7 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): current_llm_usage = None - if self.stream_tool_call and isinstance(chunks, Generator): + if isinstance(chunks, Generator): is_first_chunk = True for chunk in chunks: if is_first_chunk: @@ -124,7 +126,7 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): tool_call_inputs = json.dumps( {tool_call[1]: tool_call[2] for tool_call in tool_calls}, ensure_ascii=False ) - except json.JSONDecodeError as e: + except json.JSONDecodeError: # ensure ascii to avoid encoding error tool_call_inputs = json.dumps({tool_call[1]: tool_call[2] for tool_call in tool_calls}) @@ -140,7 +142,7 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): current_llm_usage = chunk.delta.usage yield chunk - elif not self.stream_tool_call and isinstance(chunks, LLMResult): + else: result = chunks # check if there is any tool call if self.check_blocking_tool_calls(result): @@ -151,7 +153,7 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): tool_call_inputs = json.dumps( {tool_call[1]: tool_call[2] for tool_call in tool_calls}, ensure_ascii=False ) - except json.JSONDecodeError as e: + except json.JSONDecodeError: # ensure ascii to avoid encoding error tool_call_inputs = json.dumps({tool_call[1]: tool_call[2] for tool_call in tool_calls}) @@ -183,8 +185,6 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): usage=result.usage, ), ) - else: - raise RuntimeError(f"invalid chunks type: {type(chunks)}") assistant_message = AssistantPromptMessage(content="", tool_calls=[]) if tool_calls: @@ -243,15 +243,12 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): invoke_from=self.application_generate_entity.invoke_from, agent_tool_callback=self.agent_callback, trace_manager=trace_manager, + app_id=self.application_generate_entity.app_config.app_id, + message_id=self.message.id, + conversation_id=self.conversation.id, ) # publish files - for message_file_id, save_as in message_files: - if save_as: - if self.variables_pool: - self.variables_pool.set_file( - tool_name=tool_call_name, value=message_file_id, name=save_as - ) - + for message_file_id in message_files: # publish message file self.queue_manager.publish( QueueMessageFileEvent(message_file_id=message_file_id), PublishFrom.APPLICATION_MANAGER @@ -303,8 +300,6 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): iteration_step += 1 - if self.variables_pool and self.db_variables_pool: - self.update_db_variables(self.variables_pool, self.db_variables_pool) # publish end event self.queue_manager.publish( QueueMessageEndEvent( @@ -335,9 +330,7 @@ def check_blocking_tool_calls(self, llm_result: LLMResult) -> bool: return True return False - def extract_tool_calls( - self, llm_result_chunk: LLMResultChunk - ) -> Union[None, list[tuple[str, str, dict[str, Any]]]]: + def extract_tool_calls(self, llm_result_chunk: LLMResultChunk) -> list[tuple[str, str, dict[str, Any]]]: """ Extract tool calls from llm result chunk @@ -360,7 +353,7 @@ def extract_tool_calls( return tool_calls - def extract_blocking_tool_calls(self, llm_result: LLMResult) -> Union[None, list[tuple[str, str, dict[str, Any]]]]: + def extract_blocking_tool_calls(self, llm_result: LLMResult) -> list[tuple[str, str, dict[str, Any]]]: """ Extract blocking tool calls from llm result @@ -383,9 +376,7 @@ def extract_blocking_tool_calls(self, llm_result: LLMResult) -> Union[None, list return tool_calls - def _init_system_message( - self, prompt_template: str, prompt_messages: Optional[list[PromptMessage]] = None - ) -> list[PromptMessage]: + def _init_system_message(self, prompt_template: str, prompt_messages: list[PromptMessage]) -> list[PromptMessage]: """ Initialize system message """ diff --git a/api/core/agent/plugin_entities.py b/api/core/agent/plugin_entities.py new file mode 100644 index 00000000000000..92bd5500eff520 --- /dev/null +++ b/api/core/agent/plugin_entities.py @@ -0,0 +1,89 @@ +import enum +from typing import Any, Optional + +from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validator + +from core.entities.parameter_entities import CommonParameterType +from core.plugin.entities.parameters import ( + PluginParameter, + as_normal_type, + cast_parameter_value, + init_frontend_parameter, +) +from core.tools.entities.common_entities import I18nObject +from core.tools.entities.tool_entities import ( + ToolIdentity, + ToolProviderIdentity, +) + + +class AgentStrategyProviderIdentity(ToolProviderIdentity): + """ + Inherits from ToolProviderIdentity, without any additional fields. + """ + + pass + + +class AgentStrategyParameter(PluginParameter): + class AgentStrategyParameterType(enum.StrEnum): + """ + Keep all the types from PluginParameterType + """ + + STRING = CommonParameterType.STRING.value + NUMBER = CommonParameterType.NUMBER.value + BOOLEAN = CommonParameterType.BOOLEAN.value + SELECT = CommonParameterType.SELECT.value + SECRET_INPUT = CommonParameterType.SECRET_INPUT.value + FILE = CommonParameterType.FILE.value + FILES = CommonParameterType.FILES.value + APP_SELECTOR = CommonParameterType.APP_SELECTOR.value + MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value + TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR.value + + # deprecated, should not use. + SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value + + def as_normal_type(self): + return as_normal_type(self) + + def cast_value(self, value: Any): + return cast_parameter_value(self, value) + + type: AgentStrategyParameterType = Field(..., description="The type of the parameter") + + def init_frontend_parameter(self, value: Any): + return init_frontend_parameter(self, self.type, value) + + +class AgentStrategyProviderEntity(BaseModel): + identity: AgentStrategyProviderIdentity + plugin_id: Optional[str] = Field(None, description="The id of the plugin") + + +class AgentStrategyIdentity(ToolIdentity): + """ + Inherits from ToolIdentity, without any additional fields. + """ + + pass + + +class AgentStrategyEntity(BaseModel): + identity: AgentStrategyIdentity + parameters: list[AgentStrategyParameter] = Field(default_factory=list) + description: I18nObject = Field(..., description="The description of the agent strategy") + output_schema: Optional[dict] = None + + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + + @field_validator("parameters", mode="before") + @classmethod + def set_parameters(cls, v, validation_info: ValidationInfo) -> list[AgentStrategyParameter]: + return v or [] + + +class AgentProviderEntityWithPlugin(AgentStrategyProviderEntity): + strategies: list[AgentStrategyEntity] = Field(default_factory=list) diff --git a/api/core/agent/strategy/base.py b/api/core/agent/strategy/base.py new file mode 100644 index 00000000000000..ead81a7a0e28a0 --- /dev/null +++ b/api/core/agent/strategy/base.py @@ -0,0 +1,42 @@ +from abc import ABC, abstractmethod +from collections.abc import Generator, Sequence +from typing import Any, Optional + +from core.agent.entities import AgentInvokeMessage +from core.agent.plugin_entities import AgentStrategyParameter + + +class BaseAgentStrategy(ABC): + """ + Agent Strategy + """ + + def invoke( + self, + params: dict[str, Any], + user_id: str, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[AgentInvokeMessage, None, None]: + """ + Invoke the agent strategy. + """ + yield from self._invoke(params, user_id, conversation_id, app_id, message_id) + + def get_parameters(self) -> Sequence[AgentStrategyParameter]: + """ + Get the parameters for the agent strategy. + """ + return [] + + @abstractmethod + def _invoke( + self, + params: dict[str, Any], + user_id: str, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[AgentInvokeMessage, None, None]: + pass diff --git a/api/core/agent/strategy/plugin.py b/api/core/agent/strategy/plugin.py new file mode 100644 index 00000000000000..a4b25f46e6e404 --- /dev/null +++ b/api/core/agent/strategy/plugin.py @@ -0,0 +1,59 @@ +from collections.abc import Generator, Sequence +from typing import Any, Optional + +from core.agent.entities import AgentInvokeMessage +from core.agent.plugin_entities import AgentStrategyEntity, AgentStrategyParameter +from core.agent.strategy.base import BaseAgentStrategy +from core.plugin.manager.agent import PluginAgentManager +from core.plugin.utils.converter import convert_parameters_to_plugin_format + + +class PluginAgentStrategy(BaseAgentStrategy): + """ + Agent Strategy + """ + + tenant_id: str + declaration: AgentStrategyEntity + + def __init__(self, tenant_id: str, declaration: AgentStrategyEntity): + self.tenant_id = tenant_id + self.declaration = declaration + + def get_parameters(self) -> Sequence[AgentStrategyParameter]: + return self.declaration.parameters + + def initialize_parameters(self, params: dict[str, Any]) -> dict[str, Any]: + """ + Initialize the parameters for the agent strategy. + """ + for parameter in self.declaration.parameters: + params[parameter.name] = parameter.init_frontend_parameter(params.get(parameter.name)) + return params + + def _invoke( + self, + params: dict[str, Any], + user_id: str, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[AgentInvokeMessage, None, None]: + """ + Invoke the agent strategy. + """ + manager = PluginAgentManager() + + initialized_params = self.initialize_parameters(params) + params = convert_parameters_to_plugin_format(initialized_params) + + yield from manager.invoke( + tenant_id=self.tenant_id, + user_id=user_id, + agent_provider=self.declaration.identity.provider, + agent_strategy=self.declaration.identity.name, + agent_params=params, + conversation_id=conversation_id, + app_id=app_id, + message_id=message_id, + ) diff --git a/api/core/app/app_config/easy_ui_based_app/model_config/converter.py b/api/core/app/app_config/easy_ui_based_app/model_config/converter.py index cdc82860c6cc4d..ecb045a30ad4a1 100644 --- a/api/core/app/app_config/easy_ui_based_app/model_config/converter.py +++ b/api/core/app/app_config/easy_ui_based_app/model_config/converter.py @@ -4,7 +4,8 @@ from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity from core.entities.model_entities import ModelStatus from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError -from core.model_runtime.entities.model_entities import ModelType +from core.model_runtime.entities.llm_entities import LLMMode +from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.provider_manager import ProviderManager @@ -63,14 +64,14 @@ def convert(cls, app_config: EasyUIBasedAppConfig) -> ModelConfigWithCredentials stop = completion_params["stop"] del completion_params["stop"] + model_schema = model_type_instance.get_model_schema(model_config.model, model_credentials) + # get model mode model_mode = model_config.mode if not model_mode: - mode_enum = model_type_instance.get_model_mode(model=model_config.model, credentials=model_credentials) - - model_mode = mode_enum.value - - model_schema = model_type_instance.get_model_schema(model_config.model, model_credentials) + model_mode = LLMMode.CHAT.value + if model_schema and model_schema.model_properties.get(ModelPropertyKey.MODE): + model_mode = LLMMode.value_of(model_schema.model_properties[ModelPropertyKey.MODE]).value if not model_schema: raise ValueError(f"Model {model_name} not exist.") diff --git a/api/core/app/app_config/easy_ui_based_app/model_config/manager.py b/api/core/app/app_config/easy_ui_based_app/model_config/manager.py index 6426865115126f..b19865ff4c3ceb 100644 --- a/api/core/app/app_config/easy_ui_based_app/model_config/manager.py +++ b/api/core/app/app_config/easy_ui_based_app/model_config/manager.py @@ -2,8 +2,9 @@ from typing import Any from core.app.app_config.entities import ModelConfigEntity +from core.entities import DEFAULT_PLUGIN_ID from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType -from core.model_runtime.model_providers import model_provider_factory +from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory from core.provider_manager import ProviderManager @@ -53,9 +54,18 @@ def validate_and_set_defaults(cls, tenant_id: str, config: Mapping[str, Any]) -> raise ValueError("model must be of object type") # model.provider + model_provider_factory = ModelProviderFactory(tenant_id) provider_entities = model_provider_factory.get_providers() model_provider_names = [provider.provider for provider in provider_entities] - if "provider" not in config["model"] or config["model"]["provider"] not in model_provider_names: + if "provider" not in config["model"]: + raise ValueError(f"model.provider is required and must be in {str(model_provider_names)}") + + if "/" not in config["model"]["provider"]: + config["model"]["provider"] = ( + f"{DEFAULT_PLUGIN_ID}/{config['model']['provider']}/{config['model']['provider']}" + ) + + if config["model"]["provider"] not in model_provider_names: raise ValueError(f"model.provider is required and must be in {str(model_provider_names)}") # model.name diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index 930d4c80bcb465..5cc4b2b0e422df 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -45,8 +45,8 @@ def generate( user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, - streaming: Literal[True], - ) -> Generator[str, None, None]: ... + streaming: Literal[False], + ) -> Mapping[str, Any]: ... @overload def generate( @@ -54,10 +54,10 @@ def generate( app_model: App, workflow: Workflow, user: Union[Account, EndUser], - args: Mapping[str, Any], + args: Mapping, invoke_from: InvokeFrom, - streaming: Literal[False], - ) -> Mapping[str, Any]: ... + streaming: Literal[True], + ) -> Generator[Mapping | str, None, None]: ... @overload def generate( @@ -65,20 +65,20 @@ def generate( app_model: App, workflow: Workflow, user: Union[Account, EndUser], - args: Mapping[str, Any], + args: Mapping, invoke_from: InvokeFrom, - streaming: bool = True, - ) -> Union[Mapping[str, Any], Generator[str, None, None]]: ... + streaming: bool, + ) -> Mapping[str, Any] | Generator[str | Mapping, None, None]: ... def generate( self, app_model: App, workflow: Workflow, user: Union[Account, EndUser], - args: Mapping[str, Any], + args: Mapping, invoke_from: InvokeFrom, streaming: bool = True, - ): + ) -> Mapping[str, Any] | Generator[str | Mapping, None, None]: """ Generate App response. @@ -154,6 +154,8 @@ def generate( workflow_run_id=workflow_run_id, ) contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) + contexts.plugin_tool_providers.set({}) + contexts.plugin_tool_providers_lock.set(threading.Lock()) return self._generate( workflow=workflow, @@ -165,8 +167,14 @@ def generate( ) def single_iteration_generate( - self, app_model: App, workflow: Workflow, node_id: str, user: Account, args: dict, streaming: bool = True - ) -> Mapping[str, Any] | Generator[str, None, None]: + self, + app_model: App, + workflow: Workflow, + node_id: str, + user: Account | EndUser, + args: Mapping, + streaming: bool = True, + ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]: """ Generate App response. @@ -203,6 +211,8 @@ def single_iteration_generate( ), ) contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) + contexts.plugin_tool_providers.set({}) + contexts.plugin_tool_providers_lock.set(threading.Lock()) return self._generate( workflow=workflow, @@ -222,7 +232,7 @@ def _generate( application_generate_entity: AdvancedChatAppGenerateEntity, conversation: Optional[Conversation] = None, stream: bool = True, - ) -> Mapping[str, Any] | Generator[str, None, None]: + ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]: """ Generate App response. diff --git a/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py b/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py index a506447671abfb..4e6422e2df145b 100644 --- a/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py +++ b/api/core/app/apps/advanced_chat/app_generator_tts_publisher.py @@ -56,7 +56,7 @@ def _process_future( class AppGeneratorTTSPublisher: - def __init__(self, tenant_id: str, voice: str): + def __init__(self, tenant_id: str, voice: str, language: Optional[str] = None): self.logger = logging.getLogger(__name__) self.tenant_id = tenant_id self.msg_text = "" @@ -67,7 +67,7 @@ def __init__(self, tenant_id: str, voice: str): self.model_instance = self.model_manager.get_default_model_instance( tenant_id=self.tenant_id, model_type=ModelType.TTS ) - self.voices = self.model_instance.get_tts_voices() + self.voices = self.model_instance.get_tts_voices(language=language) values = [voice.get("value") for voice in self.voices] self.voice = voice if not voice or voice not in values: diff --git a/api/core/app/apps/advanced_chat/app_runner.py b/api/core/app/apps/advanced_chat/app_runner.py index 6339d798984800..0e918e4929db1c 100644 --- a/api/core/app/apps/advanced_chat/app_runner.py +++ b/api/core/app/apps/advanced_chat/app_runner.py @@ -77,7 +77,7 @@ def run(self) -> None: graph, variable_pool = self._get_graph_and_variable_pool_of_single_iteration( workflow=workflow, node_id=self.application_generate_entity.single_iteration_run.node_id, - user_inputs=self.application_generate_entity.single_iteration_run.inputs, + user_inputs=dict(self.application_generate_entity.single_iteration_run.inputs), ) else: inputs = self.application_generate_entity.inputs diff --git a/api/core/app/apps/advanced_chat/generate_response_converter.py b/api/core/app/apps/advanced_chat/generate_response_converter.py index 5fbd3e9a94906f..b2bff432080162 100644 --- a/api/core/app/apps/advanced_chat/generate_response_converter.py +++ b/api/core/app/apps/advanced_chat/generate_response_converter.py @@ -1,4 +1,3 @@ -import json from collections.abc import Generator from typing import Any, cast @@ -58,7 +57,7 @@ def convert_blocking_simple_response(cls, blocking_response: AppBlockingResponse @classmethod def convert_stream_full_response( cls, stream_response: Generator[AppStreamResponse, None, None] - ) -> Generator[str, Any, None]: + ) -> Generator[dict | str, Any, None]: """ Convert stream full response. :param stream_response: stream response @@ -84,12 +83,12 @@ def convert_stream_full_response( response_chunk.update(data) else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk @classmethod def convert_stream_simple_response( cls, stream_response: Generator[AppStreamResponse, None, None] - ) -> Generator[str, Any, None]: + ) -> Generator[dict | str, Any, None]: """ Convert stream simple response. :param stream_response: stream response @@ -123,4 +122,4 @@ def convert_stream_simple_response( else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk diff --git a/api/core/app/apps/advanced_chat/generate_task_pipeline.py b/api/core/app/apps/advanced_chat/generate_task_pipeline.py index 6aad805034ba9c..3d6ba5ce374408 100644 --- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py +++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py @@ -17,6 +17,7 @@ ) from core.app.entities.queue_entities import ( QueueAdvancedChatMessageEndEvent, + QueueAgentLogEvent, QueueAnnotationReplyEvent, QueueErrorEvent, QueueIterationCompletedEvent, @@ -219,7 +220,9 @@ def _wrapper_process_stream_response( and features_dict["text_to_speech"].get("enabled") and features_dict["text_to_speech"].get("autoPlay") == "enabled" ): - tts_publisher = AppGeneratorTTSPublisher(tenant_id, features_dict["text_to_speech"].get("voice")) + tts_publisher = AppGeneratorTTSPublisher( + tenant_id, features_dict["text_to_speech"].get("voice"), features_dict["text_to_speech"].get("language") + ) for response in self._process_stream_response(tts_publisher=tts_publisher, trace_manager=trace_manager): while True: @@ -247,7 +250,7 @@ def _wrapper_process_stream_response( else: start_listener_time = time.time() yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id) - except Exception as e: + except Exception: logger.exception(f"Failed to listen audio message, task_id: {task_id}") break if tts_publisher: @@ -640,6 +643,10 @@ def _process_stream_response( session.commit() yield self._message_end_to_stream_response() + elif isinstance(event, QueueAgentLogEvent): + yield self._workflow_cycle_manager._handle_agent_log( + task_id=self._application_generate_entity.task_id, event=event + ) else: continue diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index 0b3704b018f78c..e47428b557b3bf 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -1,3 +1,4 @@ +import contextvars import logging import threading import uuid @@ -37,8 +38,8 @@ def generate( user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, - streaming: Literal[True], - ) -> Generator[str, None, None]: ... + streaming: Literal[False], + ) -> Mapping[str, Any]: ... @overload def generate( @@ -48,8 +49,8 @@ def generate( user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, - streaming: Literal[False], - ) -> Mapping[str, Any]: ... + streaming: Literal[True], + ) -> Generator[Mapping | str, None, None]: ... @overload def generate( @@ -60,7 +61,7 @@ def generate( args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: bool, - ) -> Mapping[str, Any] | Generator[str, None, None]: ... + ) -> Union[Mapping, Generator[Mapping | str, None, None]]: ... def generate( self, @@ -70,7 +71,7 @@ def generate( args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: bool = True, - ): + ) -> Union[Mapping, Generator[Mapping | str, None, None]]: """ Generate App response. @@ -180,6 +181,7 @@ def generate( target=self._generate_worker, kwargs={ "flask_app": current_app._get_current_object(), # type: ignore + "context": contextvars.copy_context(), "application_generate_entity": application_generate_entity, "queue_manager": queue_manager, "conversation_id": conversation.id, @@ -204,6 +206,7 @@ def generate( def _generate_worker( self, flask_app: Flask, + context: contextvars.Context, application_generate_entity: AgentChatAppGenerateEntity, queue_manager: AppQueueManager, conversation_id: str, @@ -218,6 +221,9 @@ def _generate_worker( :param message_id: message ID :return: """ + for var, val in context.items(): + var.set(val) + with flask_app.app_context(): try: # get conversation and message diff --git a/api/core/app/apps/agent_chat/app_runner.py b/api/core/app/apps/agent_chat/app_runner.py index c6705361407c89..72a17171124057 100644 --- a/api/core/app/apps/agent_chat/app_runner.py +++ b/api/core/app/apps/agent_chat/app_runner.py @@ -8,18 +8,16 @@ from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfig from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom from core.app.apps.base_app_runner import AppRunner -from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity, ModelConfigWithCredentialsEntity +from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity from core.app.entities.queue_entities import QueueAnnotationReplyEvent from core.memory.token_buffer_memory import TokenBufferMemory from core.model_manager import ModelInstance -from core.model_runtime.entities.llm_entities import LLMMode, LLMUsage +from core.model_runtime.entities.llm_entities import LLMMode from core.model_runtime.entities.model_entities import ModelFeature, ModelPropertyKey from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.moderation.base import ModerationError -from core.tools.entities.tool_entities import ToolRuntimeVariablePool from extensions.ext_database import db -from models.model import App, Conversation, Message, MessageAgentThought -from models.tools import ToolConversationVariables +from models.model import App, Conversation, Message logger = logging.getLogger(__name__) @@ -64,8 +62,8 @@ def run( app_record=app_record, model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, - inputs=inputs, - files=files, + inputs=dict(inputs), + files=list(files), query=query, ) @@ -86,8 +84,8 @@ def run( app_record=app_record, model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, - inputs=inputs, - files=files, + inputs=dict(inputs), + files=list(files), query=query, memory=memory, ) @@ -99,8 +97,8 @@ def run( app_id=app_record.id, tenant_id=app_config.tenant_id, app_generate_entity=application_generate_entity, - inputs=inputs, - query=query, + inputs=dict(inputs), + query=query or "", message_id=message.id, ) except ModerationError as e: @@ -156,9 +154,9 @@ def run( app_record=app_record, model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, - inputs=inputs, - files=files, - query=query, + inputs=dict(inputs), + files=list(files), + query=query or "", memory=memory, ) @@ -173,16 +171,7 @@ def run( return agent_entity = app_config.agent - if not agent_entity: - raise ValueError("Agent entity not found") - - # load tool variables - tool_conversation_variables = self._load_tool_variables( - conversation_id=conversation.id, user_id=application_generate_entity.user_id, tenant_id=app_config.tenant_id - ) - - # convert db variables to tool variables - tool_variables = self._convert_db_variables_to_tool_variables(tool_conversation_variables) + assert agent_entity is not None # init model instance model_instance = ModelInstance( @@ -193,9 +182,9 @@ def run( app_record=app_record, model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, - inputs=inputs, - files=files, - query=query, + inputs=dict(inputs), + files=list(files), + query=query or "", memory=memory, ) @@ -243,8 +232,6 @@ def run( user_id=application_generate_entity.user_id, memory=memory, prompt_messages=prompt_message, - variables_pool=tool_variables, - db_variables=tool_conversation_variables, model_instance=model_instance, ) @@ -261,73 +248,3 @@ def run( stream=application_generate_entity.stream, agent=True, ) - - def _load_tool_variables(self, conversation_id: str, user_id: str, tenant_id: str) -> ToolConversationVariables: - """ - load tool variables from database - """ - tool_variables: ToolConversationVariables | None = ( - db.session.query(ToolConversationVariables) - .filter( - ToolConversationVariables.conversation_id == conversation_id, - ToolConversationVariables.tenant_id == tenant_id, - ) - .first() - ) - - if tool_variables: - # save tool variables to session, so that we can update it later - db.session.add(tool_variables) - else: - # create new tool variables - tool_variables = ToolConversationVariables( - conversation_id=conversation_id, - user_id=user_id, - tenant_id=tenant_id, - variables_str="[]", - ) - db.session.add(tool_variables) - db.session.commit() - - return tool_variables - - def _convert_db_variables_to_tool_variables( - self, db_variables: ToolConversationVariables - ) -> ToolRuntimeVariablePool: - """ - convert db variables to tool variables - """ - return ToolRuntimeVariablePool( - **{ - "conversation_id": db_variables.conversation_id, - "user_id": db_variables.user_id, - "tenant_id": db_variables.tenant_id, - "pool": db_variables.variables, - } - ) - - def _get_usage_of_all_agent_thoughts( - self, model_config: ModelConfigWithCredentialsEntity, message: Message - ) -> LLMUsage: - """ - Get usage of all agent thoughts - :param model_config: model config - :param message: message - :return: - """ - agent_thoughts = ( - db.session.query(MessageAgentThought).filter(MessageAgentThought.message_id == message.id).all() - ) - - all_message_tokens = 0 - all_answer_tokens = 0 - for agent_thought in agent_thoughts: - all_message_tokens += agent_thought.message_tokens - all_answer_tokens += agent_thought.answer_tokens - - model_type_instance = model_config.provider_model_bundle.model_type_instance - model_type_instance = cast(LargeLanguageModel, model_type_instance) - - return model_type_instance._calc_response_usage( - model_config.model, model_config.credentials, all_message_tokens, all_answer_tokens - ) diff --git a/api/core/app/apps/agent_chat/generate_response_converter.py b/api/core/app/apps/agent_chat/generate_response_converter.py index ce331d904cc826..0eea1351674f51 100644 --- a/api/core/app/apps/agent_chat/generate_response_converter.py +++ b/api/core/app/apps/agent_chat/generate_response_converter.py @@ -1,9 +1,9 @@ -import json from collections.abc import Generator from typing import cast from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter from core.app.entities.task_entities import ( + AppStreamResponse, ChatbotAppBlockingResponse, ChatbotAppStreamResponse, ErrorStreamResponse, @@ -51,10 +51,9 @@ def convert_blocking_simple_response(cls, blocking_response: ChatbotAppBlockingR return response @classmethod - def convert_stream_full_response( # type: ignore[override] - cls, - stream_response: Generator[ChatbotAppStreamResponse, None, None], - ) -> Generator[str, None, None]: + def convert_stream_full_response( + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream full response. :param stream_response: stream response @@ -80,13 +79,12 @@ def convert_stream_full_response( # type: ignore[override] response_chunk.update(data) else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk @classmethod - def convert_stream_simple_response( # type: ignore[override] - cls, - stream_response: Generator[ChatbotAppStreamResponse, None, None], - ) -> Generator[str, None, None]: + def convert_stream_simple_response( + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream simple response. :param stream_response: stream response @@ -118,4 +116,4 @@ def convert_stream_simple_response( # type: ignore[override] else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk diff --git a/api/core/app/apps/base_app_generate_response_converter.py b/api/core/app/apps/base_app_generate_response_converter.py index be4027132ba903..29c1ad598e477b 100644 --- a/api/core/app/apps/base_app_generate_response_converter.py +++ b/api/core/app/apps/base_app_generate_response_converter.py @@ -14,21 +14,15 @@ class AppGenerateResponseConverter(ABC): @classmethod def convert( - cls, - response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]], - invoke_from: InvokeFrom, - ) -> Mapping[str, Any] | Generator[str, None, None]: + cls, response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]], invoke_from: InvokeFrom + ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], Any, None]: if invoke_from in {InvokeFrom.DEBUGGER, InvokeFrom.SERVICE_API}: if isinstance(response, AppBlockingResponse): return cls.convert_blocking_full_response(response) else: - def _generate_full_response() -> Generator[str, Any, None]: - for chunk in cls.convert_stream_full_response(response): - if chunk == "ping": - yield f"event: {chunk}\n\n" - else: - yield f"data: {chunk}\n\n" + def _generate_full_response() -> Generator[dict | str, Any, None]: + yield from cls.convert_stream_full_response(response) return _generate_full_response() else: @@ -36,12 +30,8 @@ def _generate_full_response() -> Generator[str, Any, None]: return cls.convert_blocking_simple_response(response) else: - def _generate_simple_response() -> Generator[str, Any, None]: - for chunk in cls.convert_stream_simple_response(response): - if chunk == "ping": - yield f"event: {chunk}\n\n" - else: - yield f"data: {chunk}\n\n" + def _generate_simple_response() -> Generator[dict | str, Any, None]: + yield from cls.convert_stream_simple_response(response) return _generate_simple_response() @@ -59,14 +49,14 @@ def convert_blocking_simple_response(cls, blocking_response: AppBlockingResponse @abstractmethod def convert_stream_full_response( cls, stream_response: Generator[AppStreamResponse, None, None] - ) -> Generator[str, None, None]: + ) -> Generator[dict | str, None, None]: raise NotImplementedError @classmethod @abstractmethod def convert_stream_simple_response( cls, stream_response: Generator[AppStreamResponse, None, None] - ) -> Generator[str, None, None]: + ) -> Generator[dict | str, None, None]: raise NotImplementedError @classmethod diff --git a/api/core/app/apps/base_app_generator.py b/api/core/app/apps/base_app_generator.py index 85b7aced557c5e..00159c858d8bf9 100644 --- a/api/core/app/apps/base_app_generator.py +++ b/api/core/app/apps/base_app_generator.py @@ -1,5 +1,6 @@ -from collections.abc import Mapping, Sequence -from typing import TYPE_CHECKING, Any, Optional +import json +from collections.abc import Generator, Mapping, Sequence +from typing import TYPE_CHECKING, Any, Optional, Union from core.app.app_config.entities import VariableEntityType from core.file import File, FileUploadConfig @@ -138,3 +139,21 @@ def _sanitize_value(self, value: Any) -> Any: if isinstance(value, str): return value.replace("\x00", "") return value + + @classmethod + def convert_to_event_stream(cls, generator: Union[Mapping, Generator[Mapping | str, None, None]]): + """ + Convert messages into event stream + """ + if isinstance(generator, dict): + return generator + else: + + def gen(): + for message in generator: + if isinstance(message, (Mapping, dict)): + yield f"data: {json.dumps(message)}\n\n" + else: + yield f"event: {message}\n\n" + + return gen() diff --git a/api/core/app/apps/base_app_queue_manager.py b/api/core/app/apps/base_app_queue_manager.py index ce2222a14e77e5..0ba33fbe0d8a7c 100644 --- a/api/core/app/apps/base_app_queue_manager.py +++ b/api/core/app/apps/base_app_queue_manager.py @@ -2,7 +2,7 @@ import time from abc import abstractmethod from enum import Enum -from typing import Any +from typing import Any, Optional from sqlalchemy.orm import DeclarativeMeta @@ -115,7 +115,7 @@ def set_stop_flag(cls, task_id: str, invoke_from: InvokeFrom, user_id: str) -> N Set task stop flag :return: """ - result = redis_client.get(cls._generate_task_belong_cache_key(task_id)) + result: Optional[Any] = redis_client.get(cls._generate_task_belong_cache_key(task_id)) if result is None: return diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index 0f359f36d70534..213fb79b7dcf2b 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -38,7 +38,7 @@ def generate( args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: Literal[True], - ) -> Generator[str, None, None]: ... + ) -> Generator[Mapping | str, None, None]: ... @overload def generate( @@ -58,7 +58,7 @@ def generate( args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: bool, - ) -> Union[Mapping[str, Any], Generator[str, None, None]]: ... + ) -> Union[Mapping[str, Any], Generator[Mapping[str, Any] | str, None, None]]: ... def generate( self, @@ -67,7 +67,7 @@ def generate( args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: bool = True, - ): + ) -> Union[Mapping[str, Any], Generator[Mapping[str, Any] | str, None, None]]: """ Generate App response. diff --git a/api/core/app/apps/chat/generate_response_converter.py b/api/core/app/apps/chat/generate_response_converter.py index 9024c3a98273d1..13a6be167c07fa 100644 --- a/api/core/app/apps/chat/generate_response_converter.py +++ b/api/core/app/apps/chat/generate_response_converter.py @@ -1,9 +1,9 @@ -import json from collections.abc import Generator from typing import cast from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter from core.app.entities.task_entities import ( + AppStreamResponse, ChatbotAppBlockingResponse, ChatbotAppStreamResponse, ErrorStreamResponse, @@ -52,9 +52,8 @@ def convert_blocking_simple_response(cls, blocking_response: ChatbotAppBlockingR @classmethod def convert_stream_full_response( - cls, - stream_response: Generator[ChatbotAppStreamResponse, None, None], # type: ignore[override] - ) -> Generator[str, None, None]: + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream full response. :param stream_response: stream response @@ -80,13 +79,12 @@ def convert_stream_full_response( response_chunk.update(data) else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk @classmethod def convert_stream_simple_response( - cls, - stream_response: Generator[ChatbotAppStreamResponse, None, None], # type: ignore[override] - ) -> Generator[str, None, None]: + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream simple response. :param stream_response: stream response @@ -118,4 +116,4 @@ def convert_stream_simple_response( else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk diff --git a/api/core/app/apps/completion/app_generator.py b/api/core/app/apps/completion/app_generator.py index be50d496d23694..ac9ad346ebd23a 100644 --- a/api/core/app/apps/completion/app_generator.py +++ b/api/core/app/apps/completion/app_generator.py @@ -37,7 +37,7 @@ def generate( args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: Literal[True], - ) -> Generator[str, None, None]: ... + ) -> Generator[str | Mapping[str, Any], None, None]: ... @overload def generate( @@ -56,8 +56,8 @@ def generate( user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, - streaming: bool, - ) -> Mapping[str, Any] | Generator[str, None, None]: ... + streaming: bool = False, + ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]: ... def generate( self, @@ -66,7 +66,7 @@ def generate( args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: bool = True, - ): + ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]: """ Generate App response. @@ -231,7 +231,7 @@ def generate_more_like_this( user: Union[Account, EndUser], invoke_from: InvokeFrom, stream: bool = True, - ) -> Union[Mapping[str, Any], Generator[str, None, None]]: + ) -> Union[Mapping, Generator[Mapping | str, None, None]]: """ Generate App response. diff --git a/api/core/app/apps/completion/generate_response_converter.py b/api/core/app/apps/completion/generate_response_converter.py index 73f38c3d0bcb96..c2b78e81764f57 100644 --- a/api/core/app/apps/completion/generate_response_converter.py +++ b/api/core/app/apps/completion/generate_response_converter.py @@ -1,9 +1,9 @@ -import json from collections.abc import Generator from typing import cast from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter from core.app.entities.task_entities import ( + AppStreamResponse, CompletionAppBlockingResponse, CompletionAppStreamResponse, ErrorStreamResponse, @@ -51,9 +51,8 @@ def convert_blocking_simple_response(cls, blocking_response: CompletionAppBlocki @classmethod def convert_stream_full_response( - cls, - stream_response: Generator[CompletionAppStreamResponse, None, None], # type: ignore[override] - ) -> Generator[str, None, None]: + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream full response. :param stream_response: stream response @@ -78,13 +77,12 @@ def convert_stream_full_response( response_chunk.update(data) else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk @classmethod def convert_stream_simple_response( - cls, - stream_response: Generator[CompletionAppStreamResponse, None, None], # type: ignore[override] - ) -> Generator[str, None, None]: + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream simple response. :param stream_response: stream response @@ -115,4 +113,4 @@ def convert_stream_simple_response( else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk diff --git a/api/core/app/apps/workflow/app_generator.py b/api/core/app/apps/workflow/app_generator.py index 3e65fd56c808e0..f13cb530093ee2 100644 --- a/api/core/app/apps/workflow/app_generator.py +++ b/api/core/app/apps/workflow/app_generator.py @@ -36,13 +36,13 @@ def generate( *, app_model: App, workflow: Workflow, - user: Account | EndUser, + user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: Literal[True], - call_depth: int = 0, - workflow_thread_pool_id: Optional[str] = None, - ) -> Generator[str, None, None]: ... + call_depth: int, + workflow_thread_pool_id: Optional[str], + ) -> Generator[Mapping | str, None, None]: ... @overload def generate( @@ -50,12 +50,12 @@ def generate( *, app_model: App, workflow: Workflow, - user: Account | EndUser, + user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: Literal[False], - call_depth: int = 0, - workflow_thread_pool_id: Optional[str] = None, + call_depth: int, + workflow_thread_pool_id: Optional[str], ) -> Mapping[str, Any]: ... @overload @@ -64,26 +64,26 @@ def generate( *, app_model: App, workflow: Workflow, - user: Account | EndUser, + user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, - streaming: bool = True, - call_depth: int = 0, - workflow_thread_pool_id: Optional[str] = None, - ) -> Mapping[str, Any] | Generator[str, None, None]: ... + streaming: bool, + call_depth: int, + workflow_thread_pool_id: Optional[str], + ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: ... def generate( self, *, app_model: App, workflow: Workflow, - user: Account | EndUser, + user: Union[Account, EndUser], args: Mapping[str, Any], invoke_from: InvokeFrom, streaming: bool = True, call_depth: int = 0, workflow_thread_pool_id: Optional[str] = None, - ): + ) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: files: Sequence[Mapping[str, Any]] = args.get("files") or [] # parse files @@ -124,7 +124,10 @@ def generate( trace_manager=trace_manager, workflow_run_id=workflow_run_id, ) + contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) + contexts.plugin_tool_providers.set({}) + contexts.plugin_tool_providers_lock.set(threading.Lock()) return self._generate( app_model=app_model, @@ -146,7 +149,18 @@ def _generate( invoke_from: InvokeFrom, streaming: bool = True, workflow_thread_pool_id: Optional[str] = None, - ) -> Mapping[str, Any] | Generator[str, None, None]: + ) -> Union[Mapping[str, Any], Generator[str | Mapping[str, Any], None, None]]: + """ + Generate App response. + + :param app_model: App + :param workflow: Workflow + :param user: account or end user + :param application_generate_entity: application generate entity + :param invoke_from: invoke from source + :param stream: is stream + :param workflow_thread_pool_id: workflow thread pool id + """ # init queue manager queue_manager = WorkflowAppQueueManager( task_id=application_generate_entity.task_id, @@ -185,10 +199,10 @@ def single_iteration_generate( app_model: App, workflow: Workflow, node_id: str, - user: Account, + user: Account | EndUser, args: Mapping[str, Any], streaming: bool = True, - ) -> Mapping[str, Any] | Generator[str, None, None]: + ) -> Mapping[str, Any] | Generator[str | Mapping[str, Any], None, None]: """ Generate App response. @@ -224,6 +238,8 @@ def single_iteration_generate( workflow_run_id=str(uuid.uuid4()), ) contexts.tenant_id.set(application_generate_entity.app_config.tenant_id) + contexts.plugin_tool_providers.set({}) + contexts.plugin_tool_providers_lock.set(threading.Lock()) return self._generate( app_model=app_model, diff --git a/api/core/app/apps/workflow/generate_response_converter.py b/api/core/app/apps/workflow/generate_response_converter.py index 5cdac6ad28fdaa..10ec73a7d23c65 100644 --- a/api/core/app/apps/workflow/generate_response_converter.py +++ b/api/core/app/apps/workflow/generate_response_converter.py @@ -1,9 +1,9 @@ -import json from collections.abc import Generator from typing import cast from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter from core.app.entities.task_entities import ( + AppStreamResponse, ErrorStreamResponse, NodeFinishStreamResponse, NodeStartStreamResponse, @@ -36,9 +36,8 @@ def convert_blocking_simple_response(cls, blocking_response: WorkflowAppBlocking @classmethod def convert_stream_full_response( - cls, - stream_response: Generator[WorkflowAppStreamResponse, None, None], # type: ignore[override] - ) -> Generator[str, None, None]: + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream full response. :param stream_response: stream response @@ -62,13 +61,12 @@ def convert_stream_full_response( response_chunk.update(data) else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk @classmethod def convert_stream_simple_response( - cls, - stream_response: Generator[WorkflowAppStreamResponse, None, None], # type: ignore[override] - ) -> Generator[str, None, None]: + cls, stream_response: Generator[AppStreamResponse, None, None] + ) -> Generator[dict | str, None, None]: """ Convert stream simple response. :param stream_response: stream response @@ -94,4 +92,4 @@ def convert_stream_simple_response( response_chunk.update(sub_stream_response.to_ignore_detail_dict()) else: response_chunk.update(sub_stream_response.to_dict()) - yield json.dumps(response_chunk) + yield response_chunk diff --git a/api/core/app/apps/workflow/generate_task_pipeline.py b/api/core/app/apps/workflow/generate_task_pipeline.py index f89f456916e72e..9837cf9975cec5 100644 --- a/api/core/app/apps/workflow/generate_task_pipeline.py +++ b/api/core/app/apps/workflow/generate_task_pipeline.py @@ -13,6 +13,7 @@ WorkflowAppGenerateEntity, ) from core.app.entities.queue_entities import ( + QueueAgentLogEvent, QueueErrorEvent, QueueIterationCompletedEvent, QueueIterationNextEvent, @@ -190,7 +191,9 @@ def _wrapper_process_stream_response( and features_dict["text_to_speech"].get("enabled") and features_dict["text_to_speech"].get("autoPlay") == "enabled" ): - tts_publisher = AppGeneratorTTSPublisher(tenant_id, features_dict["text_to_speech"].get("voice")) + tts_publisher = AppGeneratorTTSPublisher( + tenant_id, features_dict["text_to_speech"].get("voice"), features_dict["text_to_speech"].get("language") + ) for response in self._process_stream_response(tts_publisher=tts_publisher, trace_manager=trace_manager): while True: @@ -527,6 +530,10 @@ def _process_stream_response( yield self._text_chunk_to_stream_response( delta_text, from_variable_selector=event.from_variable_selector ) + elif isinstance(event, QueueAgentLogEvent): + yield self._workflow_cycle_manager._handle_agent_log( + task_id=self._application_generate_entity.task_id, event=event + ) else: continue diff --git a/api/core/app/apps/workflow_app_runner.py b/api/core/app/apps/workflow_app_runner.py index 63f516bcc60682..6d3b8a996b30f1 100644 --- a/api/core/app/apps/workflow_app_runner.py +++ b/api/core/app/apps/workflow_app_runner.py @@ -5,6 +5,7 @@ from core.app.apps.base_app_runner import AppRunner from core.app.entities.queue_entities import ( AppQueueEvent, + QueueAgentLogEvent, QueueIterationCompletedEvent, QueueIterationNextEvent, QueueIterationStartEvent, @@ -27,6 +28,7 @@ from core.workflow.entities.node_entities import NodeRunMetadataKey from core.workflow.entities.variable_pool import VariablePool from core.workflow.graph_engine.entities.event import ( + AgentLogEvent, GraphEngineEvent, GraphRunFailedEvent, GraphRunPartialSucceededEvent, @@ -239,6 +241,7 @@ def _handle_event(self, workflow_entry: WorkflowEntry, event: GraphEngineEvent) predecessor_node_id=event.predecessor_node_id, in_iteration_id=event.in_iteration_id, parallel_mode_run_id=event.parallel_mode_run_id, + agent_strategy=event.agent_strategy, ) ) elif isinstance(event, NodeRunSucceededEvent): @@ -373,6 +376,19 @@ def _handle_event(self, workflow_entry: WorkflowEntry, event: GraphEngineEvent) retriever_resources=event.retriever_resources, in_iteration_id=event.in_iteration_id ) ) + elif isinstance(event, AgentLogEvent): + self._publish_event( + QueueAgentLogEvent( + id=event.id, + label=event.label, + node_execution_id=event.node_execution_id, + parent_id=event.parent_id, + error=event.error, + status=event.status, + data=event.data, + metadata=event.metadata, + ) + ) elif isinstance(event, ParallelBranchRunStartedEvent): self._publish_event( QueueParallelBranchRunStartedEvent( diff --git a/api/core/app/entities/app_invoke_entities.py b/api/core/app/entities/app_invoke_entities.py index 7cb4e590326257..df5da619274174 100644 --- a/api/core/app/entities/app_invoke_entities.py +++ b/api/core/app/entities/app_invoke_entities.py @@ -183,7 +183,7 @@ class SingleIterationRunEntity(BaseModel): """ node_id: str - inputs: dict + inputs: Mapping single_iteration_run: Optional[SingleIterationRunEntity] = None diff --git a/api/core/app/entities/queue_entities.py b/api/core/app/entities/queue_entities.py index a93e533ff45d26..f1cc3ac2216b58 100644 --- a/api/core/app/entities/queue_entities.py +++ b/api/core/app/entities/queue_entities.py @@ -6,7 +6,7 @@ from pydantic import BaseModel from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk -from core.workflow.entities.node_entities import NodeRunMetadataKey +from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunMetadataKey from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState from core.workflow.nodes import NodeType from core.workflow.nodes.base import BaseNodeData @@ -41,6 +41,7 @@ class QueueEvent(StrEnum): PARALLEL_BRANCH_RUN_STARTED = "parallel_branch_run_started" PARALLEL_BRANCH_RUN_SUCCEEDED = "parallel_branch_run_succeeded" PARALLEL_BRANCH_RUN_FAILED = "parallel_branch_run_failed" + AGENT_LOG = "agent_log" ERROR = "error" PING = "ping" STOP = "stop" @@ -280,6 +281,7 @@ class QueueNodeStartedEvent(AppQueueEvent): start_at: datetime parallel_mode_run_id: Optional[str] = None """iteratoin run in parallel mode run id""" + agent_strategy: Optional[AgentNodeStrategyInit] = None class QueueNodeSucceededEvent(AppQueueEvent): @@ -315,6 +317,22 @@ class QueueNodeSucceededEvent(AppQueueEvent): iteration_duration_map: Optional[dict[str, float]] = None +class QueueAgentLogEvent(AppQueueEvent): + """ + QueueAgentLogEvent entity + """ + + event: QueueEvent = QueueEvent.AGENT_LOG + id: str + label: str + node_execution_id: str + parent_id: str | None + error: str | None + status: str + data: Mapping[str, Any] + metadata: Optional[Mapping[str, Any]] = None + + class QueueNodeRetryEvent(QueueNodeStartedEvent): """QueueNodeRetryEvent entity""" diff --git a/api/core/app/entities/task_entities.py b/api/core/app/entities/task_entities.py index 5e845eba2da1d3..e64bd416e0cf9b 100644 --- a/api/core/app/entities/task_entities.py +++ b/api/core/app/entities/task_entities.py @@ -6,6 +6,7 @@ from core.model_runtime.entities.llm_entities import LLMResult from core.model_runtime.utils.encoders import jsonable_encoder +from core.workflow.entities.node_entities import AgentNodeStrategyInit from models.workflow import WorkflowNodeExecutionStatus @@ -60,6 +61,7 @@ class StreamEvent(Enum): ITERATION_COMPLETED = "iteration_completed" TEXT_CHUNK = "text_chunk" TEXT_REPLACE = "text_replace" + AGENT_LOG = "agent_log" class StreamResponse(BaseModel): @@ -247,6 +249,7 @@ class Data(BaseModel): parent_parallel_start_node_id: Optional[str] = None iteration_id: Optional[str] = None parallel_run_id: Optional[str] = None + agent_strategy: Optional[AgentNodeStrategyInit] = None event: StreamEvent = StreamEvent.NODE_STARTED workflow_run_id: str @@ -696,3 +699,26 @@ class Data(BaseModel): workflow_run_id: str data: Data + + +class AgentLogStreamResponse(StreamResponse): + """ + AgentLogStreamResponse entity + """ + + class Data(BaseModel): + """ + Data entity + """ + + node_execution_id: str + id: str + label: str + parent_id: str | None + error: str | None + status: str + data: Mapping[str, Any] + metadata: Optional[Mapping[str, Any]] = None + + event: StreamEvent = StreamEvent.AGENT_LOG + data: Data diff --git a/api/core/app/features/hosting_moderation/hosting_moderation.py b/api/core/app/features/hosting_moderation/hosting_moderation.py index ba14b61201e72f..a5a54865819e46 100644 --- a/api/core/app/features/hosting_moderation/hosting_moderation.py +++ b/api/core/app/features/hosting_moderation/hosting_moderation.py @@ -24,6 +24,8 @@ def check( if isinstance(prompt_message.content, str): text += prompt_message.content + "\n" - moderation_result = moderation.check_moderation(model_config, text) + moderation_result = moderation.check_moderation( + tenant_id=application_generate_entity.app_config.tenant_id, model_config=model_config, text=text + ) return moderation_result diff --git a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py index c84f8ba3e450cc..8c9c26d36e003b 100644 --- a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py +++ b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py @@ -215,7 +215,9 @@ def _wrapper_process_stream_response( and text_to_speech_dict.get("autoPlay") == "enabled" and text_to_speech_dict.get("enabled") ): - publisher = AppGeneratorTTSPublisher(tenant_id, text_to_speech_dict.get("voice", None)) + publisher = AppGeneratorTTSPublisher( + tenant_id, text_to_speech_dict.get("voice", None), text_to_speech_dict.get("language", None) + ) for response in self._process_stream_response(publisher=publisher, trace_manager=trace_manager): while True: audio_response = self._listen_audio_msg(publisher, task_id) diff --git a/api/core/app/task_pipeline/workflow_cycle_manage.py b/api/core/app/task_pipeline/workflow_cycle_manage.py index ad29201df384be..4710bc32213fc1 100644 --- a/api/core/app/task_pipeline/workflow_cycle_manage.py +++ b/api/core/app/task_pipeline/workflow_cycle_manage.py @@ -10,6 +10,7 @@ from core.app.entities.app_invoke_entities import AdvancedChatAppGenerateEntity, InvokeFrom, WorkflowAppGenerateEntity from core.app.entities.queue_entities import ( + QueueAgentLogEvent, QueueIterationCompletedEvent, QueueIterationNextEvent, QueueIterationStartEvent, @@ -24,6 +25,7 @@ QueueParallelBranchRunSucceededEvent, ) from core.app.entities.task_entities import ( + AgentLogStreamResponse, IterationNodeCompletedStreamResponse, IterationNodeNextStreamResponse, IterationNodeStartStreamResponse, @@ -320,9 +322,8 @@ def _handle_workflow_node_execution_success( inputs = WorkflowEntry.handle_special_values(event.inputs) process_data = WorkflowEntry.handle_special_values(event.process_data) outputs = WorkflowEntry.handle_special_values(event.outputs) - execution_metadata = ( - json.dumps(jsonable_encoder(event.execution_metadata)) if event.execution_metadata else None - ) + execution_metadata_dict = dict(event.execution_metadata or {}) + execution_metadata = json.dumps(jsonable_encoder(execution_metadata_dict)) if execution_metadata_dict else None finished_at = datetime.now(UTC).replace(tzinfo=None) elapsed_time = (finished_at - event.start_at).total_seconds() @@ -540,6 +541,7 @@ def _workflow_node_start_to_stream_response( parent_parallel_start_node_id=event.parent_parallel_start_node_id, iteration_id=event.in_iteration_id, parallel_run_id=event.parallel_mode_run_id, + agent_strategy=event.agent_strategy, ), ) @@ -843,3 +845,24 @@ def _get_workflow_node_execution(self, session: Session, node_execution_id: str) raise ValueError(f"Workflow node execution not found: {node_execution_id}") cached_workflow_node_execution = self._workflow_node_executions[node_execution_id] return session.merge(cached_workflow_node_execution) + + def _handle_agent_log(self, task_id: str, event: QueueAgentLogEvent) -> AgentLogStreamResponse: + """ + Handle agent log + :param task_id: task id + :param event: agent log event + :return: + """ + return AgentLogStreamResponse( + task_id=task_id, + data=AgentLogStreamResponse.Data( + node_execution_id=event.node_execution_id, + id=event.id, + parent_id=event.parent_id, + label=event.label, + error=event.error, + status=event.status, + data=event.data, + metadata=event.metadata, + ), + ) diff --git a/api/core/callback_handler/agent_tool_callback_handler.py b/api/core/callback_handler/agent_tool_callback_handler.py index effc7eff9179ae..65d899a0023d2d 100644 --- a/api/core/callback_handler/agent_tool_callback_handler.py +++ b/api/core/callback_handler/agent_tool_callback_handler.py @@ -1,4 +1,4 @@ -from collections.abc import Mapping, Sequence +from collections.abc import Iterable, Mapping from typing import Any, Optional, TextIO, Union from pydantic import BaseModel @@ -57,7 +57,7 @@ def on_tool_end( self, tool_name: str, tool_inputs: Mapping[str, Any], - tool_outputs: Sequence[ToolInvokeMessage] | str, + tool_outputs: Iterable[ToolInvokeMessage] | str, message_id: Optional[str] = None, timer: Optional[Any] = None, trace_manager: Optional[TraceQueueManager] = None, diff --git a/api/core/callback_handler/workflow_tool_callback_handler.py b/api/core/callback_handler/workflow_tool_callback_handler.py index 8ac12f72f29d6c..350b18772bc5e9 100644 --- a/api/core/callback_handler/workflow_tool_callback_handler.py +++ b/api/core/callback_handler/workflow_tool_callback_handler.py @@ -1,5 +1,26 @@ -from core.callback_handler.agent_tool_callback_handler import DifyAgentCallbackHandler +from collections.abc import Generator, Iterable, Mapping +from typing import Any, Optional + +from core.callback_handler.agent_tool_callback_handler import DifyAgentCallbackHandler, print_text +from core.ops.ops_trace_manager import TraceQueueManager +from core.tools.entities.tool_entities import ToolInvokeMessage class DifyWorkflowCallbackHandler(DifyAgentCallbackHandler): """Callback Handler that prints to std out.""" + + def on_tool_execution( + self, + tool_name: str, + tool_inputs: Mapping[str, Any], + tool_outputs: Iterable[ToolInvokeMessage], + message_id: Optional[str] = None, + timer: Optional[Any] = None, + trace_manager: Optional[TraceQueueManager] = None, + ) -> Generator[ToolInvokeMessage, None, None]: + for tool_output in tool_outputs: + print_text("\n[on_tool_execution]\n", color=self.color) + print_text("Tool: " + tool_name + "\n", color=self.color) + print_text("Outputs: " + tool_output.model_dump_json()[:1000] + "\n", color=self.color) + print_text("\n") + yield tool_output diff --git a/api/core/entities/__init__.py b/api/core/entities/__init__.py index e69de29bb2d1d6..b848da366495c2 100644 --- a/api/core/entities/__init__.py +++ b/api/core/entities/__init__.py @@ -0,0 +1 @@ +DEFAULT_PLUGIN_ID = "langgenius" diff --git a/api/core/entities/parameter_entities.py b/api/core/entities/parameter_entities.py new file mode 100644 index 00000000000000..36800bc2634443 --- /dev/null +++ b/api/core/entities/parameter_entities.py @@ -0,0 +1,42 @@ +from enum import StrEnum + + +class CommonParameterType(StrEnum): + SECRET_INPUT = "secret-input" + TEXT_INPUT = "text-input" + SELECT = "select" + STRING = "string" + NUMBER = "number" + FILE = "file" + FILES = "files" + SYSTEM_FILES = "system-files" + BOOLEAN = "boolean" + APP_SELECTOR = "app-selector" + MODEL_SELECTOR = "model-selector" + TOOLS_SELECTOR = "array[tools]" + + # TOOL_SELECTOR = "tool-selector" + + +class AppSelectorScope(StrEnum): + ALL = "all" + CHAT = "chat" + WORKFLOW = "workflow" + COMPLETION = "completion" + + +class ModelSelectorScope(StrEnum): + LLM = "llm" + TEXT_EMBEDDING = "text-embedding" + RERANK = "rerank" + TTS = "tts" + SPEECH2TEXT = "speech2text" + MODERATION = "moderation" + VISION = "vision" + + +class ToolSelectorScope(StrEnum): + ALL = "all" + CUSTOM = "custom" + BUILTIN = "builtin" + WORKFLOW = "workflow" diff --git a/api/core/entities/provider_configuration.py b/api/core/entities/provider_configuration.py index bff5a0ec9c6be7..6ed065d92577ab 100644 --- a/api/core/entities/provider_configuration.py +++ b/api/core/entities/provider_configuration.py @@ -2,13 +2,14 @@ import json import logging from collections import defaultdict -from collections.abc import Iterator +from collections.abc import Iterator, Sequence from json import JSONDecodeError from typing import Optional from pydantic import BaseModel, ConfigDict from constants import HIDDEN_VALUE +from core.entities import DEFAULT_PLUGIN_ID from core.entities.model_entities import ModelStatus, ModelWithProviderEntity, SimpleModelProviderEntity from core.entities.provider_entities import ( CustomConfiguration, @@ -18,16 +19,15 @@ ) from core.helper import encrypter from core.helper.model_provider_cache import ProviderCredentialsCache, ProviderCredentialsCacheType -from core.model_runtime.entities.model_entities import FetchFrom, ModelType +from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType from core.model_runtime.entities.provider_entities import ( ConfigurateMethod, CredentialFormSchema, FormType, ProviderEntity, ) -from core.model_runtime.model_providers import model_provider_factory from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.model_runtime.model_providers.__base.model_provider import ModelProvider +from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory from extensions.ext_database import db from models.provider import ( LoadBalancingModelConfig, @@ -99,9 +99,10 @@ def get_current_credentials(self, model_type: ModelType, model: str) -> Optional continue restrict_models = quota_configuration.restrict_models - if self.system_configuration.credentials is None: - return None - copy_credentials = self.system_configuration.credentials.copy() + + copy_credentials = ( + self.system_configuration.credentials.copy() if self.system_configuration.credentials else {} + ) if restrict_models: for restrict_model in restrict_models: if ( @@ -140,6 +141,9 @@ def get_system_configuration_status(self) -> Optional[SystemConfigurationStatus] if current_quota_configuration is None: return None + if not current_quota_configuration: + return SystemConfigurationStatus.UNSUPPORTED + return ( SystemConfigurationStatus.ACTIVE if current_quota_configuration.is_valid @@ -153,7 +157,7 @@ def is_custom_configuration_available(self) -> bool: """ return self.custom_configuration.provider is not None or len(self.custom_configuration.models) > 0 - def get_custom_credentials(self, obfuscated: bool = False): + def get_custom_credentials(self, obfuscated: bool = False) -> dict | None: """ Get custom credentials. @@ -175,7 +179,7 @@ def get_custom_credentials(self, obfuscated: bool = False): else [], ) - def custom_credentials_validate(self, credentials: dict) -> tuple[Optional[Provider], dict]: + def custom_credentials_validate(self, credentials: dict) -> tuple[Provider | None, dict]: """ Validate custom credentials. :param credentials: provider credentials @@ -219,6 +223,7 @@ def custom_credentials_validate(self, credentials: dict) -> tuple[Optional[Provi if value == HIDDEN_VALUE and key in original_credentials: credentials[key] = encrypter.decrypt_token(self.tenant_id, original_credentials[key]) + model_provider_factory = ModelProviderFactory(self.tenant_id) credentials = model_provider_factory.provider_credentials_validate( provider=self.provider.provider, credentials=credentials ) @@ -246,13 +251,13 @@ def add_or_update_custom_credentials(self, credentials: dict) -> None: provider_record.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) db.session.commit() else: - provider_record = Provider( - tenant_id=self.tenant_id, - provider_name=self.provider.provider, - provider_type=ProviderType.CUSTOM.value, - encrypted_config=json.dumps(credentials), - is_valid=True, - ) + provider_record = Provider() + provider_record.tenant_id = self.tenant_id + provider_record.provider_name = self.provider.provider + provider_record.provider_type = ProviderType.CUSTOM.value + provider_record.encrypted_config = json.dumps(credentials) + provider_record.is_valid = True + db.session.add(provider_record) db.session.commit() @@ -327,7 +332,7 @@ def get_custom_model_credentials( def custom_model_credentials_validate( self, model_type: ModelType, model: str, credentials: dict - ) -> tuple[Optional[ProviderModel], dict]: + ) -> tuple[ProviderModel | None, dict]: """ Validate custom model credentials. @@ -370,6 +375,7 @@ def custom_model_credentials_validate( if value == HIDDEN_VALUE and key in original_credentials: credentials[key] = encrypter.decrypt_token(self.tenant_id, original_credentials[key]) + model_provider_factory = ModelProviderFactory(self.tenant_id) credentials = model_provider_factory.model_credentials_validate( provider=self.provider.provider, model_type=model_type, model=model, credentials=credentials ) @@ -400,14 +406,13 @@ def add_or_update_custom_model_credentials(self, model_type: ModelType, model: s provider_model_record.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) db.session.commit() else: - provider_model_record = ProviderModel( - tenant_id=self.tenant_id, - provider_name=self.provider.provider, - model_name=model, - model_type=model_type.to_origin_model_type(), - encrypted_config=json.dumps(credentials), - is_valid=True, - ) + provider_model_record = ProviderModel() + provider_model_record.tenant_id = self.tenant_id + provider_model_record.provider_name = self.provider.provider + provider_model_record.model_name = model + provider_model_record.model_type = model_type.to_origin_model_type() + provider_model_record.encrypted_config = json.dumps(credentials) + provider_model_record.is_valid = True db.session.add(provider_model_record) db.session.commit() @@ -474,13 +479,12 @@ def enable_model(self, model_type: ModelType, model: str) -> ProviderModelSettin model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) db.session.commit() else: - model_setting = ProviderModelSetting( - tenant_id=self.tenant_id, - provider_name=self.provider.provider, - model_type=model_type.to_origin_model_type(), - model_name=model, - enabled=True, - ) + model_setting = ProviderModelSetting() + model_setting.tenant_id = self.tenant_id + model_setting.provider_name = self.provider.provider + model_setting.model_type = model_type.to_origin_model_type() + model_setting.model_name = model + model_setting.enabled = True db.session.add(model_setting) db.session.commit() @@ -509,13 +513,12 @@ def disable_model(self, model_type: ModelType, model: str) -> ProviderModelSetti model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) db.session.commit() else: - model_setting = ProviderModelSetting( - tenant_id=self.tenant_id, - provider_name=self.provider.provider, - model_type=model_type.to_origin_model_type(), - model_name=model, - enabled=False, - ) + model_setting = ProviderModelSetting() + model_setting.tenant_id = self.tenant_id + model_setting.provider_name = self.provider.provider + model_setting.model_type = model_type.to_origin_model_type() + model_setting.model_name = model + model_setting.enabled = False db.session.add(model_setting) db.session.commit() @@ -576,13 +579,12 @@ def enable_model_load_balancing(self, model_type: ModelType, model: str) -> Prov model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) db.session.commit() else: - model_setting = ProviderModelSetting( - tenant_id=self.tenant_id, - provider_name=self.provider.provider, - model_type=model_type.to_origin_model_type(), - model_name=model, - load_balancing_enabled=True, - ) + model_setting = ProviderModelSetting() + model_setting.tenant_id = self.tenant_id + model_setting.provider_name = self.provider.provider + model_setting.model_type = model_type.to_origin_model_type() + model_setting.model_name = model + model_setting.load_balancing_enabled = True db.session.add(model_setting) db.session.commit() @@ -611,25 +613,17 @@ def disable_model_load_balancing(self, model_type: ModelType, model: str) -> Pro model_setting.updated_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) db.session.commit() else: - model_setting = ProviderModelSetting( - tenant_id=self.tenant_id, - provider_name=self.provider.provider, - model_type=model_type.to_origin_model_type(), - model_name=model, - load_balancing_enabled=False, - ) + model_setting = ProviderModelSetting() + model_setting.tenant_id = self.tenant_id + model_setting.provider_name = self.provider.provider + model_setting.model_type = model_type.to_origin_model_type() + model_setting.model_name = model + model_setting.load_balancing_enabled = False db.session.add(model_setting) db.session.commit() return model_setting - def get_provider_instance(self) -> ModelProvider: - """ - Get provider instance. - :return: - """ - return model_provider_factory.get_provider_instance(self.provider.provider) - def get_model_type_instance(self, model_type: ModelType) -> AIModel: """ Get current model type instance. @@ -637,11 +631,19 @@ def get_model_type_instance(self, model_type: ModelType) -> AIModel: :param model_type: model type :return: """ - # Get provider instance - provider_instance = self.get_provider_instance() + model_provider_factory = ModelProviderFactory(self.tenant_id) # Get model instance of LLM - return provider_instance.get_model_instance(model_type) + return model_provider_factory.get_model_type_instance(provider=self.provider.provider, model_type=model_type) + + def get_model_schema(self, model_type: ModelType, model: str, credentials: dict) -> AIModelEntity | None: + """ + Get model schema + """ + model_provider_factory = ModelProviderFactory(self.tenant_id) + return model_provider_factory.get_model_schema( + provider=self.provider.provider, model_type=model_type, model=model, credentials=credentials + ) def switch_preferred_provider_type(self, provider_type: ProviderType) -> None: """ @@ -668,11 +670,10 @@ def switch_preferred_provider_type(self, provider_type: ProviderType) -> None: if preferred_model_provider: preferred_model_provider.preferred_provider_type = provider_type.value else: - preferred_model_provider = TenantPreferredModelProvider( - tenant_id=self.tenant_id, - provider_name=self.provider.provider, - preferred_provider_type=provider_type.value, - ) + preferred_model_provider = TenantPreferredModelProvider() + preferred_model_provider.tenant_id = self.tenant_id + preferred_model_provider.provider_name = self.provider.provider + preferred_model_provider.preferred_provider_type = provider_type.value db.session.add(preferred_model_provider) db.session.commit() @@ -737,13 +738,14 @@ def get_provider_models( :param only_active: only active models :return: """ - provider_instance = self.get_provider_instance() + model_provider_factory = ModelProviderFactory(self.tenant_id) + provider_schema = model_provider_factory.get_provider_schema(self.provider.provider) - model_types = [] + model_types: list[ModelType] = [] if model_type: model_types.append(model_type) else: - model_types = list(provider_instance.get_provider_schema().supported_model_types) + model_types = list(provider_schema.supported_model_types) # Group model settings by model type and model model_setting_map: defaultdict[ModelType, dict[str, ModelSettings]] = defaultdict(dict) @@ -752,11 +754,11 @@ def get_provider_models( if self.using_provider_type == ProviderType.SYSTEM: provider_models = self._get_system_provider_models( - model_types=model_types, provider_instance=provider_instance, model_setting_map=model_setting_map + model_types=model_types, provider_schema=provider_schema, model_setting_map=model_setting_map ) else: provider_models = self._get_custom_provider_models( - model_types=model_types, provider_instance=provider_instance, model_setting_map=model_setting_map + model_types=model_types, provider_schema=provider_schema, model_setting_map=model_setting_map ) if only_active: @@ -767,23 +769,26 @@ def get_provider_models( def _get_system_provider_models( self, - model_types: list[ModelType], - provider_instance: ModelProvider, + model_types: Sequence[ModelType], + provider_schema: ProviderEntity, model_setting_map: dict[ModelType, dict[str, ModelSettings]], ) -> list[ModelWithProviderEntity]: """ Get system provider models. :param model_types: model types - :param provider_instance: provider instance + :param provider_schema: provider schema :param model_setting_map: model setting map :return: """ provider_models = [] for model_type in model_types: - for m in provider_instance.models(model_type): + for m in provider_schema.models: + if m.model_type != model_type: + continue + status = ModelStatus.ACTIVE - if m.model_type in model_setting_map and m.model in model_setting_map[m.model_type]: + if m.model in model_setting_map: model_setting = model_setting_map[m.model_type][m.model] if model_setting.enabled is False: status = ModelStatus.DISABLED @@ -804,7 +809,7 @@ def _get_system_provider_models( if self.provider.provider not in original_provider_configurate_methods: original_provider_configurate_methods[self.provider.provider] = [] - for configurate_method in provider_instance.get_provider_schema().configurate_methods: + for configurate_method in provider_schema.configurate_methods: original_provider_configurate_methods[self.provider.provider].append(configurate_method) should_use_custom_model = False @@ -825,18 +830,22 @@ def _get_system_provider_models( ]: # only customizable model for restrict_model in restrict_models: - if self.system_configuration.credentials is not None: - copy_credentials = self.system_configuration.credentials.copy() - if restrict_model.base_model_name: - copy_credentials["base_model_name"] = restrict_model.base_model_name - - try: - custom_model_schema = provider_instance.get_model_instance( - restrict_model.model_type - ).get_customizable_model_schema_from_credentials(restrict_model.model, copy_credentials) - except Exception as ex: - logger.warning(f"get custom model schema failed, {ex}") - continue + copy_credentials = ( + self.system_configuration.credentials.copy() + if self.system_configuration.credentials + else {} + ) + if restrict_model.base_model_name: + copy_credentials["base_model_name"] = restrict_model.base_model_name + + try: + custom_model_schema = self.get_model_schema( + model_type=restrict_model.model_type, + model=restrict_model.model, + credentials=copy_credentials, + ) + except Exception as ex: + logger.warning(f"get custom model schema failed, {ex}") if not custom_model_schema: continue @@ -881,15 +890,15 @@ def _get_system_provider_models( def _get_custom_provider_models( self, - model_types: list[ModelType], - provider_instance: ModelProvider, + model_types: Sequence[ModelType], + provider_schema: ProviderEntity, model_setting_map: dict[ModelType, dict[str, ModelSettings]], ) -> list[ModelWithProviderEntity]: """ Get custom provider models. :param model_types: model types - :param provider_instance: provider instance + :param provider_schema: provider schema :param model_setting_map: model setting map :return: """ @@ -903,8 +912,10 @@ def _get_custom_provider_models( if model_type not in self.provider.supported_model_types: continue - models = provider_instance.models(model_type) - for m in models: + for m in provider_schema.models: + if m.model_type != model_type: + continue + status = ModelStatus.ACTIVE if credentials else ModelStatus.NO_CONFIGURE load_balancing_enabled = False if m.model_type in model_setting_map and m.model in model_setting_map[m.model_type]: @@ -936,10 +947,10 @@ def _get_custom_provider_models( continue try: - custom_model_schema = provider_instance.get_model_instance( - model_configuration.model_type - ).get_customizable_model_schema_from_credentials( - model_configuration.model, model_configuration.credentials + custom_model_schema = self.get_model_schema( + model_type=model_configuration.model_type, + model=model_configuration.model, + credentials=model_configuration.credentials, ) except Exception as ex: logger.warning(f"get custom model schema failed, {ex}") @@ -967,7 +978,7 @@ def _get_custom_provider_models( label=custom_model_schema.label, model_type=custom_model_schema.model_type, features=custom_model_schema.features, - fetch_from=custom_model_schema.fetch_from, + fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, model_properties=custom_model_schema.model_properties, deprecated=custom_model_schema.deprecated, provider=SimpleModelProviderEntity(self.provider), @@ -1040,6 +1051,9 @@ def to_list(self) -> list[ProviderConfiguration]: return list(self.values()) def __getitem__(self, key): + if "/" not in key: + key = f"{DEFAULT_PLUGIN_ID}/{key}/{key}" + return self.configurations[key] def __setitem__(self, key, value): @@ -1051,8 +1065,11 @@ def __iter__(self): def values(self) -> Iterator[ProviderConfiguration]: return iter(self.configurations.values()) - def get(self, key, default=None): - return self.configurations.get(key, default) + def get(self, key, default=None) -> ProviderConfiguration | None: + if "/" not in key: + key = f"{DEFAULT_PLUGIN_ID}/{key}/{key}" + + return self.configurations.get(key, default) # type: ignore class ProviderModelBundle(BaseModel): @@ -1061,7 +1078,6 @@ class ProviderModelBundle(BaseModel): """ configuration: ProviderConfiguration - provider_instance: ModelProvider model_type_instance: AIModel # pydantic configs diff --git a/api/core/entities/provider_entities.py b/api/core/entities/provider_entities.py index 44725623dc4bd4..e04e2a42fda5e3 100644 --- a/api/core/entities/provider_entities.py +++ b/api/core/entities/provider_entities.py @@ -1,10 +1,34 @@ from enum import Enum -from typing import Optional +from typing import Optional, Union -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, Field +from core.entities.parameter_entities import ( + AppSelectorScope, + CommonParameterType, + ModelSelectorScope, + ToolSelectorScope, +) from core.model_runtime.entities.model_entities import ModelType -from models.provider import ProviderQuotaType +from core.tools.entities.common_entities import I18nObject + + +class ProviderQuotaType(Enum): + PAID = "paid" + """hosted paid quota""" + + FREE = "free" + """third-party free quota""" + + TRIAL = "trial" + """hosted trial quota""" + + @staticmethod + def value_of(value): + for member in ProviderQuotaType: + if member.value == value: + return member + raise ValueError(f"No matching enum found for value '{value}'") class QuotaUnit(Enum): @@ -108,3 +132,55 @@ class ModelSettings(BaseModel): # pydantic configs model_config = ConfigDict(protected_namespaces=()) + + +class BasicProviderConfig(BaseModel): + """ + Base model class for common provider settings like credentials + """ + + class Type(Enum): + SECRET_INPUT = CommonParameterType.SECRET_INPUT.value + TEXT_INPUT = CommonParameterType.TEXT_INPUT.value + SELECT = CommonParameterType.SELECT.value + BOOLEAN = CommonParameterType.BOOLEAN.value + APP_SELECTOR = CommonParameterType.APP_SELECTOR.value + MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value + + @classmethod + def value_of(cls, value: str) -> "ProviderConfig.Type": + """ + Get value of given mode. + + :param value: mode value + :return: mode + """ + for mode in cls: + if mode.value == value: + return mode + raise ValueError(f"invalid mode value {value}") + + type: Type = Field(..., description="The type of the credentials") + name: str = Field(..., description="The name of the credentials") + + +class ProviderConfig(BasicProviderConfig): + """ + Model class for common provider settings like credentials + """ + + class Option(BaseModel): + value: str = Field(..., description="The value of the option") + label: I18nObject = Field(..., description="The label of the option") + + scope: AppSelectorScope | ModelSelectorScope | ToolSelectorScope | None = None + required: bool = False + default: Optional[Union[int, str]] = None + options: Optional[list[Option]] = None + label: Optional[I18nObject] = None + help: Optional[I18nObject] = None + url: Optional[str] = None + placeholder: Optional[I18nObject] = None + + def to_basic_provider_config(self) -> BasicProviderConfig: + return BasicProviderConfig(type=self.type, name=self.name) diff --git a/api/core/file/helpers.py b/api/core/file/helpers.py index 12123cf3f74630..73fabdb11b52da 100644 --- a/api/core/file/helpers.py +++ b/api/core/file/helpers.py @@ -20,6 +20,41 @@ def get_signed_file_url(upload_file_id: str) -> str: return f"{url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}" +def get_signed_file_url_for_plugin(filename: str, mimetype: str, tenant_id: str, user_id: str) -> str: + url = f"{dify_config.FILES_URL}/files/upload/for-plugin" + + if user_id is None: + user_id = "DEFAULT-USER" + + timestamp = str(int(time.time())) + nonce = os.urandom(16).hex() + key = dify_config.SECRET_KEY.encode() + msg = f"upload|{filename}|{mimetype}|{tenant_id}|{user_id}|{timestamp}|{nonce}" + sign = hmac.new(key, msg.encode(), hashlib.sha256).digest() + encoded_sign = base64.urlsafe_b64encode(sign).decode() + + return f"{url}?timestamp={timestamp}&nonce={nonce}&sign={encoded_sign}&user_id={user_id}&tenant_id={tenant_id}" + + +def verify_plugin_file_signature( + *, filename: str, mimetype: str, tenant_id: str, user_id: str | None, timestamp: str, nonce: str, sign: str +) -> bool: + if user_id is None: + user_id = "DEFAULT-USER" + + data_to_sign = f"upload|{filename}|{mimetype}|{tenant_id}|{user_id}|{timestamp}|{nonce}" + secret_key = dify_config.SECRET_KEY.encode() + recalculated_sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest() + recalculated_encoded_sign = base64.urlsafe_b64encode(recalculated_sign).decode() + + # verify signature + if sign != recalculated_encoded_sign: + return False + + current_time = int(time.time()) + return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT + + def verify_image_signature(*, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool: data_to_sign = f"image-preview|{upload_file_id}|{timestamp}|{nonce}" secret_key = dify_config.SECRET_KEY.encode() diff --git a/api/core/file/models.py b/api/core/file/models.py index 0de0089430ef32..2f0026a20398a2 100644 --- a/api/core/file/models.py +++ b/api/core/file/models.py @@ -1,5 +1,5 @@ from collections.abc import Mapping, Sequence -from typing import Optional +from typing import Any, Optional from pydantic import BaseModel, Field, model_validator @@ -124,6 +124,17 @@ def generate_url(self) -> Optional[str]: tool_file_id=self.related_id, extension=self.extension ) + def to_plugin_parameter(self) -> dict[str, Any]: + return { + "dify_model_identity": FILE_MODEL_IDENTITY, + "mime_type": self.mime_type, + "filename": self.filename, + "extension": self.extension, + "size": self.size, + "type": self.type, + "url": self.generate_url(), + } + @model_validator(mode="after") def validate_after(self): match self.transfer_method: diff --git a/api/core/file/upload_file_parser.py b/api/core/file/upload_file_parser.py new file mode 100644 index 00000000000000..062a0b6d225952 --- /dev/null +++ b/api/core/file/upload_file_parser.py @@ -0,0 +1,69 @@ +import base64 +import logging +import time +from typing import Optional + +from configs import dify_config +from core.helper.url_signer import UrlSigner +from extensions.ext_storage import storage + +IMAGE_EXTENSIONS = ["jpg", "jpeg", "png", "webp", "gif", "svg"] +IMAGE_EXTENSIONS.extend([ext.upper() for ext in IMAGE_EXTENSIONS]) + + +class UploadFileParser: + @classmethod + def get_image_data(cls, upload_file, force_url: bool = False) -> Optional[str]: + if not upload_file: + return None + + if upload_file.extension not in IMAGE_EXTENSIONS: + return None + + if dify_config.MULTIMODAL_SEND_FORMAT == "url" or force_url: + return cls.get_signed_temp_image_url(upload_file.id) + else: + # get image file base64 + try: + data = storage.load(upload_file.key) + except FileNotFoundError: + logging.exception(f"File not found: {upload_file.key}") + return None + + encoded_string = base64.b64encode(data).decode("utf-8") + return f"data:{upload_file.mime_type};base64,{encoded_string}" + + @classmethod + def get_signed_temp_image_url(cls, upload_file_id) -> str: + """ + get signed url from upload file + + :param upload_file: UploadFile object + :return: + """ + base_url = dify_config.FILES_URL + image_preview_url = f"{base_url}/files/{upload_file_id}/image-preview" + + return UrlSigner.get_signed_url(url=image_preview_url, sign_key=upload_file_id, prefix="image-preview") + + @classmethod + def verify_image_file_signature(cls, upload_file_id: str, timestamp: str, nonce: str, sign: str) -> bool: + """ + verify signature + + :param upload_file_id: file id + :param timestamp: timestamp + :param nonce: nonce + :param sign: signature + :return: + """ + result = UrlSigner.verify( + sign_key=upload_file_id, timestamp=timestamp, nonce=nonce, sign=sign, prefix="image-preview" + ) + + # verify signature + if not result: + return False + + current_time = int(time.time()) + return current_time - int(timestamp) <= dify_config.FILES_ACCESS_TIMEOUT diff --git a/api/core/helper/download.py b/api/core/helper/download.py new file mode 100644 index 00000000000000..96400e8ba5879a --- /dev/null +++ b/api/core/helper/download.py @@ -0,0 +1,17 @@ +from core.helper import ssrf_proxy + + +def download_with_size_limit(url, max_download_size: int, **kwargs): + response = ssrf_proxy.get(url, follow_redirects=True, **kwargs) + if response.status_code == 404: + raise ValueError("file not found") + + total_size = 0 + chunks = [] + for chunk in response.iter_bytes(): + total_size += len(chunk) + if total_size > max_download_size: + raise ValueError("Max file size reached") + chunks.append(chunk) + content = b"".join(chunks) + return content diff --git a/api/core/helper/marketplace.py b/api/core/helper/marketplace.py new file mode 100644 index 00000000000000..f4129b88eda869 --- /dev/null +++ b/api/core/helper/marketplace.py @@ -0,0 +1,35 @@ +from collections.abc import Sequence + +import requests +from yarl import URL + +from configs import dify_config +from core.helper.download import download_with_size_limit +from core.plugin.entities.marketplace import MarketplacePluginDeclaration + + +def get_plugin_pkg_url(plugin_unique_identifier: str): + return (URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/plugins/download").with_query( + unique_identifier=plugin_unique_identifier + ) + + +def download_plugin_pkg(plugin_unique_identifier: str): + url = str(get_plugin_pkg_url(plugin_unique_identifier)) + return download_with_size_limit(url, dify_config.PLUGIN_MAX_PACKAGE_SIZE) + + +def batch_fetch_plugin_manifests(plugin_ids: list[str]) -> Sequence[MarketplacePluginDeclaration]: + if len(plugin_ids) == 0: + return [] + + url = str(URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/plugins/batch") + response = requests.post(url, json={"plugin_ids": plugin_ids}) + response.raise_for_status() + return [MarketplacePluginDeclaration(**plugin) for plugin in response.json()["data"]["plugins"]] + + +def record_install_plugin_event(plugin_unique_identifier: str): + url = str(URL(str(dify_config.MARKETPLACE_API_URL)) / "api/v1/stats/plugins/install_count") + response = requests.post(url, json={"unique_identifier": plugin_unique_identifier}) + response.raise_for_status() diff --git a/api/core/helper/moderation.py b/api/core/helper/moderation.py index 543444463b9f1a..6a5982eca49625 100644 --- a/api/core/helper/moderation.py +++ b/api/core/helper/moderation.py @@ -1,28 +1,35 @@ import logging import random +from typing import cast from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity +from core.entities import DEFAULT_PLUGIN_ID +from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.errors.invoke import InvokeBadRequestError -from core.model_runtime.model_providers.openai.moderation.moderation import OpenAIModerationModel +from core.model_runtime.model_providers.__base.moderation_model import ModerationModel +from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory from extensions.ext_hosting_provider import hosting_configuration from models.provider import ProviderType logger = logging.getLogger(__name__) -def check_moderation(model_config: ModelConfigWithCredentialsEntity, text: str) -> bool: +def check_moderation(tenant_id: str, model_config: ModelConfigWithCredentialsEntity, text: str) -> bool: moderation_config = hosting_configuration.moderation_config + openai_provider_name = f"{DEFAULT_PLUGIN_ID}/openai/openai" if ( moderation_config and moderation_config.enabled is True - and "openai" in hosting_configuration.provider_map - and hosting_configuration.provider_map["openai"].enabled is True + and openai_provider_name in hosting_configuration.provider_map + and hosting_configuration.provider_map[openai_provider_name].enabled is True ): using_provider_type = model_config.provider_model_bundle.configuration.using_provider_type provider_name = model_config.provider if using_provider_type == ProviderType.SYSTEM and provider_name in moderation_config.providers: - hosting_openai_config = hosting_configuration.provider_map["openai"] - assert hosting_openai_config is not None + hosting_openai_config = hosting_configuration.provider_map[openai_provider_name] + + if hosting_openai_config.credentials is None: + return False # 2000 text per chunk length = 2000 @@ -34,15 +41,20 @@ def check_moderation(model_config: ModelConfigWithCredentialsEntity, text: str) text_chunk = random.choice(text_chunks) try: - model_type_instance = OpenAIModerationModel() - # FIXME, for type hint using assert or raise ValueError is better here? + model_provider_factory = ModelProviderFactory(tenant_id) + + # Get model instance of LLM + model_type_instance = model_provider_factory.get_model_type_instance( + provider=openai_provider_name, model_type=ModelType.MODERATION + ) + model_type_instance = cast(ModerationModel, model_type_instance) moderation_result = model_type_instance.invoke( - model="text-moderation-stable", credentials=hosting_openai_config.credentials or {}, text=text_chunk + model="omni-moderation-latest", credentials=hosting_openai_config.credentials, text=text_chunk ) if moderation_result is True: return True - except Exception as ex: + except Exception: logger.exception(f"Fails to check moderation, provider_name: {provider_name}") raise InvokeBadRequestError("Rate limit exceeded, please try again later.") diff --git a/api/core/helper/ssrf_proxy.py b/api/core/helper/ssrf_proxy.py index af1e527eb55a12..c8243b29d05e1e 100644 --- a/api/core/helper/ssrf_proxy.py +++ b/api/core/helper/ssrf_proxy.py @@ -36,7 +36,6 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs): ) retries = 0 - stream = kwargs.pop("stream", False) while retries <= max_retries: try: if dify_config.SSRF_PROXY_ALL_URL: diff --git a/api/core/helper/tool_provider_cache.py b/api/core/helper/tool_provider_cache.py index 6de5e704abf4f5..2e4a04c579d4fb 100644 --- a/api/core/helper/tool_provider_cache.py +++ b/api/core/helper/tool_provider_cache.py @@ -8,6 +8,7 @@ class ToolProviderCredentialsCacheType(Enum): PROVIDER = "tool_provider" + ENDPOINT = "endpoint" class ToolProviderCredentialsCache: diff --git a/api/core/helper/url_signer.py b/api/core/helper/url_signer.py new file mode 100644 index 00000000000000..dfb143f4c4a88b --- /dev/null +++ b/api/core/helper/url_signer.py @@ -0,0 +1,52 @@ +import base64 +import hashlib +import hmac +import os +import time + +from pydantic import BaseModel, Field + +from configs import dify_config + + +class SignedUrlParams(BaseModel): + sign_key: str = Field(..., description="The sign key") + timestamp: str = Field(..., description="Timestamp") + nonce: str = Field(..., description="Nonce") + sign: str = Field(..., description="Signature") + + +class UrlSigner: + @classmethod + def get_signed_url(cls, url: str, sign_key: str, prefix: str) -> str: + signed_url_params = cls.get_signed_url_params(sign_key, prefix) + return ( + f"{url}?timestamp={signed_url_params.timestamp}" + f"&nonce={signed_url_params.nonce}&sign={signed_url_params.sign}" + ) + + @classmethod + def get_signed_url_params(cls, sign_key: str, prefix: str) -> SignedUrlParams: + timestamp = str(int(time.time())) + nonce = os.urandom(16).hex() + sign = cls._sign(sign_key, timestamp, nonce, prefix) + + return SignedUrlParams(sign_key=sign_key, timestamp=timestamp, nonce=nonce, sign=sign) + + @classmethod + def verify(cls, sign_key: str, timestamp: str, nonce: str, sign: str, prefix: str) -> bool: + recalculated_sign = cls._sign(sign_key, timestamp, nonce, prefix) + + return sign == recalculated_sign + + @classmethod + def _sign(cls, sign_key: str, timestamp: str, nonce: str, prefix: str) -> str: + if not dify_config.SECRET_KEY: + raise Exception("SECRET_KEY is not set") + + data_to_sign = f"{prefix}|{sign_key}|{timestamp}|{nonce}" + secret_key = dify_config.SECRET_KEY.encode() + sign = hmac.new(secret_key, data_to_sign.encode(), hashlib.sha256).digest() + encoded_sign = base64.urlsafe_b64encode(sign).decode() + + return encoded_sign diff --git a/api/core/hosting_configuration.py b/api/core/hosting_configuration.py index f9fb7275f3624f..67fd355ee97fbe 100644 --- a/api/core/hosting_configuration.py +++ b/api/core/hosting_configuration.py @@ -4,9 +4,9 @@ from pydantic import BaseModel from configs import dify_config -from core.entities.provider_entities import QuotaUnit, RestrictModel +from core.entities import DEFAULT_PLUGIN_ID +from core.entities.provider_entities import ProviderQuotaType, QuotaUnit, RestrictModel from core.model_runtime.entities.model_entities import ModelType -from models.provider import ProviderQuotaType class HostingQuota(BaseModel): @@ -48,12 +48,12 @@ def init_app(self, app: Flask) -> None: if dify_config.EDITION != "CLOUD": return - self.provider_map["azure_openai"] = self.init_azure_openai() - self.provider_map["openai"] = self.init_openai() - self.provider_map["anthropic"] = self.init_anthropic() - self.provider_map["minimax"] = self.init_minimax() - self.provider_map["spark"] = self.init_spark() - self.provider_map["zhipuai"] = self.init_zhipuai() + self.provider_map[f"{DEFAULT_PLUGIN_ID}/azure_openai/azure_openai"] = self.init_azure_openai() + self.provider_map[f"{DEFAULT_PLUGIN_ID}/openai/openai"] = self.init_openai() + self.provider_map[f"{DEFAULT_PLUGIN_ID}/anthropic/anthropic"] = self.init_anthropic() + self.provider_map[f"{DEFAULT_PLUGIN_ID}/minimax/minimax"] = self.init_minimax() + self.provider_map[f"{DEFAULT_PLUGIN_ID}/spark/spark"] = self.init_spark() + self.provider_map[f"{DEFAULT_PLUGIN_ID}/zhipuai/zhipuai"] = self.init_zhipuai() self.moderation_config = self.init_moderation_config() @@ -240,7 +240,14 @@ def init_zhipuai() -> HostingProvider: @staticmethod def init_moderation_config() -> HostedModerationConfig: if dify_config.HOSTED_MODERATION_ENABLED and dify_config.HOSTED_MODERATION_PROVIDERS: - return HostedModerationConfig(enabled=True, providers=dify_config.HOSTED_MODERATION_PROVIDERS.split(",")) + providers = dify_config.HOSTED_MODERATION_PROVIDERS.split(",") + hosted_providers = [] + for provider in providers: + if "/" not in provider: + provider = f"{DEFAULT_PLUGIN_ID}/{provider}/{provider}" + hosted_providers.append(provider) + + return HostedModerationConfig(enabled=True, providers=hosted_providers) return HostedModerationConfig(enabled=False) diff --git a/api/core/indexing_runner.py b/api/core/indexing_runner.py index 1bc4baf9c0e9e7..8206a8d3ecbbbd 100644 --- a/api/core/indexing_runner.py +++ b/api/core/indexing_runner.py @@ -30,7 +30,7 @@ FixedRecursiveCharacterTextSplitter, ) from core.rag.splitter.text_splitter import TextSplitter -from core.tools.utils.web_reader_tool import get_image_upload_file_ids +from core.tools.utils.rag_web_reader import get_image_upload_file_ids from extensions.ext_database import db from extensions.ext_redis import redis_client from extensions.ext_storage import storage @@ -618,10 +618,8 @@ def _process_chunk( tokens = 0 if embedding_model_instance: - tokens += sum( - embedding_model_instance.get_text_embedding_num_tokens([document.page_content]) - for document in chunk_documents - ) + page_content_list = [document.page_content for document in chunk_documents] + tokens += sum(embedding_model_instance.get_text_embedding_num_tokens(page_content_list)) # load index index_processor.load(dataset, chunk_documents, with_keywords=False) diff --git a/api/core/llm_generator/llm_generator.py b/api/core/llm_generator/llm_generator.py index 9fe3f68f2a8af5..75687f9ae3c9f6 100644 --- a/api/core/llm_generator/llm_generator.py +++ b/api/core/llm_generator/llm_generator.py @@ -48,7 +48,7 @@ def generate_conversation_name( response = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=prompts, model_parameters={"max_tokens": 100, "temperature": 1}, stream=False + prompt_messages=list(prompts), model_parameters={"max_tokens": 100, "temperature": 1}, stream=False ), ) answer = cast(str, response.message.content) @@ -101,7 +101,7 @@ def generate_suggested_questions_after_answer(cls, tenant_id: str, histories: st response = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=prompt_messages, + prompt_messages=list(prompt_messages), model_parameters={"max_tokens": 256, "temperature": 0}, stream=False, ), @@ -110,7 +110,7 @@ def generate_suggested_questions_after_answer(cls, tenant_id: str, histories: st questions = output_parser.parse(cast(str, response.message.content)) except InvokeError: questions = [] - except Exception as e: + except Exception: logging.exception("Failed to generate suggested questions after answer") questions = [] @@ -150,7 +150,7 @@ def generate_rule_config( response = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=prompt_messages, model_parameters=model_parameters, stream=False + prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False ), ) @@ -200,7 +200,7 @@ def generate_rule_config( prompt_content = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=prompt_messages, model_parameters=model_parameters, stream=False + prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False ), ) except InvokeError as e: @@ -236,7 +236,7 @@ def generate_rule_config( parameter_content = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=parameter_messages, model_parameters=model_parameters, stream=False + prompt_messages=list(parameter_messages), model_parameters=model_parameters, stream=False ), ) rule_config["variables"] = re.findall(r'"\s*([^"]+)\s*"', cast(str, parameter_content.message.content)) @@ -248,7 +248,7 @@ def generate_rule_config( statement_content = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=statement_messages, model_parameters=model_parameters, stream=False + prompt_messages=list(statement_messages), model_parameters=model_parameters, stream=False ), ) rule_config["opening_statement"] = cast(str, statement_content.message.content) @@ -301,7 +301,7 @@ def generate_code( response = cast( LLMResult, model_instance.invoke_llm( - prompt_messages=prompt_messages, model_parameters=model_parameters, stream=False + prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False ), ) diff --git a/api/core/model_manager.py b/api/core/model_manager.py index d1e71148cd6023..0d5e8a3e4b3de9 100644 --- a/api/core/model_manager.py +++ b/api/core/model_manager.py @@ -1,6 +1,6 @@ import logging from collections.abc import Callable, Generator, Iterable, Sequence -from typing import IO, Any, Optional, Union, cast +from typing import IO, Any, Literal, Optional, Union, cast, overload from configs import dify_config from core.entities.embedding_type import EmbeddingInputType @@ -98,6 +98,42 @@ def _get_load_balancing_manager( return None + @overload + def invoke_llm( + self, + prompt_messages: list[PromptMessage], + model_parameters: Optional[dict] = None, + tools: Sequence[PromptMessageTool] | None = None, + stop: Optional[list[str]] = None, + stream: Literal[True] = True, + user: Optional[str] = None, + callbacks: Optional[list[Callback]] = None, + ) -> Generator: ... + + @overload + def invoke_llm( + self, + prompt_messages: list[PromptMessage], + model_parameters: Optional[dict] = None, + tools: Sequence[PromptMessageTool] | None = None, + stop: Optional[list[str]] = None, + stream: Literal[False] = False, + user: Optional[str] = None, + callbacks: Optional[list[Callback]] = None, + ) -> LLMResult: ... + + @overload + def invoke_llm( + self, + prompt_messages: list[PromptMessage], + model_parameters: Optional[dict] = None, + tools: Sequence[PromptMessageTool] | None = None, + stop: Optional[list[str]] = None, + stream: bool = True, + user: Optional[str] = None, + callbacks: Optional[list[Callback]] = None, + ) -> Union[LLMResult, Generator]: ... + def invoke_llm( self, prompt_messages: Sequence[PromptMessage], @@ -192,7 +228,7 @@ def invoke_text_embedding( ), ) - def get_text_embedding_num_tokens(self, texts: list[str]) -> int: + def get_text_embedding_num_tokens(self, texts: list[str]) -> list[int]: """ Get number of tokens for text embedding @@ -204,7 +240,7 @@ def get_text_embedding_num_tokens(self, texts: list[str]) -> int: self.model_type_instance = cast(TextEmbeddingModel, self.model_type_instance) return cast( - int, + list[int], self._round_robin_invoke( function=self.model_type_instance.get_num_tokens, model=self.model, @@ -397,7 +433,7 @@ def get_model_instance(self, tenant_id: str, provider: str, model_type: ModelTyp return ModelInstance(provider_model_bundle, model) - def get_default_provider_model_name(self, tenant_id: str, model_type: ModelType) -> tuple[str, str]: + def get_default_provider_model_name(self, tenant_id: str, model_type: ModelType) -> tuple[str | None, str | None]: """ Return first provider and the first model in the provider :param tenant_id: tenant id diff --git a/api/core/model_runtime/entities/model_entities.py b/api/core/model_runtime/entities/model_entities.py index edc6eac5175006..3225f03fbddd12 100644 --- a/api/core/model_runtime/entities/model_entities.py +++ b/api/core/model_runtime/entities/model_entities.py @@ -18,7 +18,6 @@ class ModelType(Enum): SPEECH2TEXT = "speech2text" MODERATION = "moderation" TTS = "tts" - TEXT2IMG = "text2img" @classmethod def value_of(cls, origin_model_type: str) -> "ModelType": @@ -37,8 +36,6 @@ def value_of(cls, origin_model_type: str) -> "ModelType": return cls.SPEECH2TEXT elif origin_model_type in {"tts", cls.TTS.value}: return cls.TTS - elif origin_model_type in {"text2img", cls.TEXT2IMG.value}: - return cls.TEXT2IMG elif origin_model_type == cls.MODERATION.value: return cls.MODERATION else: @@ -62,8 +59,6 @@ def to_origin_model_type(self) -> str: return "tts" elif self == self.MODERATION: return "moderation" - elif self == self.TEXT2IMG: - return "text2img" else: raise ValueError(f"invalid model type {self}") diff --git a/api/core/model_runtime/entities/provider_entities.py b/api/core/model_runtime/entities/provider_entities.py index bfe861a97ffbf8..85321bed947a02 100644 --- a/api/core/model_runtime/entities/provider_entities.py +++ b/api/core/model_runtime/entities/provider_entities.py @@ -2,10 +2,10 @@ from enum import Enum from typing import Optional -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, Field, field_validator from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import ModelType, ProviderModel +from core.model_runtime.entities.model_entities import AIModelEntity, ModelType class ConfigurateMethod(Enum): @@ -101,7 +101,7 @@ class SimpleProviderEntity(BaseModel): icon_small: Optional[I18nObject] = None icon_large: Optional[I18nObject] = None supported_model_types: Sequence[ModelType] - models: list[ProviderModel] = [] + models: list[AIModelEntity] = [] class ProviderHelpEntity(BaseModel): @@ -127,13 +127,21 @@ class ProviderEntity(BaseModel): help: Optional[ProviderHelpEntity] = None supported_model_types: Sequence[ModelType] configurate_methods: list[ConfigurateMethod] - models: list[ProviderModel] = [] + models: list[AIModelEntity] = Field(default_factory=list) provider_credential_schema: Optional[ProviderCredentialSchema] = None model_credential_schema: Optional[ModelCredentialSchema] = None # pydantic configs model_config = ConfigDict(protected_namespaces=()) + @field_validator("models", mode="before") + @classmethod + def validate_models(cls, v): + # returns EmptyList if v is empty + if not v: + return [] + return v + def to_simple_provider(self) -> SimpleProviderEntity: """ Convert to simple provider. diff --git a/api/core/model_runtime/model_providers/__base/ai_model.py b/api/core/model_runtime/model_providers/__base/ai_model.py index 4cac66ac4ab54a..abc8c83e19fe56 100644 --- a/api/core/model_runtime/model_providers/__base/ai_model.py +++ b/api/core/model_runtime/model_providers/__base/ai_model.py @@ -1,53 +1,48 @@ import decimal -import os -from abc import ABC, abstractmethod from typing import Optional -from pydantic import ConfigDict +from pydantic import BaseModel, ConfigDict, Field -from core.helper.position_helper import get_position_map, sort_by_position_map from core.model_runtime.entities.common_entities import I18nObject from core.model_runtime.entities.defaults import PARAMETER_RULE_TEMPLATE from core.model_runtime.entities.model_entities import ( AIModelEntity, DefaultParameterName, - FetchFrom, ModelType, PriceConfig, PriceInfo, PriceType, ) -from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError +from core.model_runtime.errors.invoke import ( + InvokeAuthorizationError, + InvokeBadRequestError, + InvokeConnectionError, + InvokeError, + InvokeRateLimitError, + InvokeServerUnavailableError, +) from core.model_runtime.model_providers.__base.tokenizers.gpt2_tokenzier import GPT2Tokenizer -from core.tools.utils.yaml_utils import load_yaml_file +from core.plugin.entities.plugin_daemon import PluginDaemonInnerError, PluginModelProviderEntity +from core.plugin.manager.model import PluginModelManager -class AIModel(ABC): +class AIModel(BaseModel): """ Base class for all models. """ - model_type: ModelType - model_schemas: Optional[list[AIModelEntity]] = None - started_at: float = 0 + tenant_id: str = Field(description="Tenant ID") + model_type: ModelType = Field(description="Model type") + plugin_id: str = Field(description="Plugin ID") + provider_name: str = Field(description="Provider") + plugin_model_provider: PluginModelProviderEntity = Field(description="Plugin model provider") + started_at: float = Field(description="Invoke start time", default=0) # pydantic configs model_config = ConfigDict(protected_namespaces=()) - @abstractmethod - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - raise NotImplementedError - @property - @abstractmethod - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + def _invoke_error_mapping(self) -> dict[type[Exception], list[type[Exception]]]: """ Map model invoke error to unified error The key is the error type thrown to the caller @@ -56,29 +51,37 @@ def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]] :return: Invoke error mapping """ - raise NotImplementedError + return { + InvokeConnectionError: [InvokeConnectionError], + InvokeServerUnavailableError: [InvokeServerUnavailableError], + InvokeRateLimitError: [InvokeRateLimitError], + InvokeAuthorizationError: [InvokeAuthorizationError], + InvokeBadRequestError: [InvokeBadRequestError], + PluginDaemonInnerError: [PluginDaemonInnerError], + ValueError: [ValueError], + } - def _transform_invoke_error(self, error: Exception) -> InvokeError: + def _transform_invoke_error(self, error: Exception) -> Exception: """ Transform invoke error to unified error :param error: model invoke error :return: unified error """ - provider_name = self.__class__.__module__.split(".")[-3] - for invoke_error, model_errors in self._invoke_error_mapping.items(): if isinstance(error, tuple(model_errors)): if invoke_error == InvokeAuthorizationError: - return invoke_error( + return InvokeAuthorizationError( description=( - f"[{provider_name}] Incorrect model credentials provided, please check and try again." + f"[{self.provider_name}] Incorrect model credentials provided, please check and try again." ) ) + elif isinstance(invoke_error, InvokeError): + return invoke_error(description=f"[{self.provider_name}] {invoke_error.description}, {str(error)}") + else: + return error - return invoke_error(description=f"[{provider_name}] {invoke_error.description}, {str(error)}") - - return InvokeError(description=f"[{provider_name}] Error: {str(error)}") + return InvokeError(description=f"[{self.provider_name}] Error: {str(error)}") def get_price(self, model: str, credentials: dict, price_type: PriceType, tokens: int) -> PriceInfo: """ @@ -127,92 +130,6 @@ def get_price(self, model: str, credentials: dict, price_type: PriceType, tokens currency=price_config.currency, ) - def predefined_models(self) -> list[AIModelEntity]: - """ - Get all predefined models for given provider. - - :return: - """ - if self.model_schemas: - return self.model_schemas - - model_schemas = [] - - # get module name - model_type = self.__class__.__module__.split(".")[-1] - - # get provider name - provider_name = self.__class__.__module__.split(".")[-3] - - # get the path of current classes - current_path = os.path.abspath(__file__) - # get parent path of the current path - provider_model_type_path = os.path.join( - os.path.dirname(os.path.dirname(current_path)), provider_name, model_type - ) - - # get all yaml files path under provider_model_type_path that do not start with __ - model_schema_yaml_paths = [ - os.path.join(provider_model_type_path, model_schema_yaml) - for model_schema_yaml in os.listdir(provider_model_type_path) - if not model_schema_yaml.startswith("__") - and not model_schema_yaml.startswith("_") - and os.path.isfile(os.path.join(provider_model_type_path, model_schema_yaml)) - and model_schema_yaml.endswith(".yaml") - ] - - # get _position.yaml file path - position_map = get_position_map(provider_model_type_path) - - # traverse all model_schema_yaml_paths - for model_schema_yaml_path in model_schema_yaml_paths: - # read yaml data from yaml file - yaml_data = load_yaml_file(model_schema_yaml_path) - - new_parameter_rules = [] - for parameter_rule in yaml_data.get("parameter_rules", []): - if "use_template" in parameter_rule: - try: - default_parameter_name = DefaultParameterName.value_of(parameter_rule["use_template"]) - default_parameter_rule = self._get_default_parameter_rule_variable_map(default_parameter_name) - copy_default_parameter_rule = default_parameter_rule.copy() - copy_default_parameter_rule.update(parameter_rule) - parameter_rule = copy_default_parameter_rule - except ValueError: - pass - - if "label" not in parameter_rule: - parameter_rule["label"] = {"zh_Hans": parameter_rule["name"], "en_US": parameter_rule["name"]} - - new_parameter_rules.append(parameter_rule) - - yaml_data["parameter_rules"] = new_parameter_rules - - if "label" not in yaml_data: - yaml_data["label"] = {"zh_Hans": yaml_data["model"], "en_US": yaml_data["model"]} - - yaml_data["fetch_from"] = FetchFrom.PREDEFINED_MODEL.value - - try: - # yaml_data to entity - model_schema = AIModelEntity(**yaml_data) - except Exception as e: - model_schema_yaml_file_name = os.path.basename(model_schema_yaml_path).rstrip(".yaml") - raise Exception( - f"Invalid model schema for {provider_name}.{model_type}.{model_schema_yaml_file_name}: {str(e)}" - ) - - # cache model schema - model_schemas.append(model_schema) - - # resort model schemas by position - model_schemas = sort_by_position_map(position_map, model_schemas, lambda x: x.model) - - # cache model schemas - self.model_schemas = model_schemas - - return model_schemas - def get_model_schema(self, model: str, credentials: Optional[dict] = None) -> Optional[AIModelEntity]: """ Get model schema by model name and credentials @@ -221,18 +138,16 @@ def get_model_schema(self, model: str, credentials: Optional[dict] = None) -> Op :param credentials: model credentials :return: model schema """ - # Try to get model schema from predefined models - for predefined_model in self.predefined_models(): - if model == predefined_model.model: - return predefined_model - - # Try to get model schema from credentials - if credentials: - model_schema = self.get_customizable_model_schema_from_credentials(model, credentials) - if model_schema: - return model_schema - - return None + plugin_model_manager = PluginModelManager() + return plugin_model_manager.get_model_schema( + tenant_id=self.tenant_id, + user_id="unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model_type=self.model_type.value, + model=model, + credentials=credentials or {}, + ) def get_customizable_model_schema_from_credentials(self, model: str, credentials: dict) -> Optional[AIModelEntity]: """ diff --git a/api/core/model_runtime/model_providers/__base/audio.mp3 b/api/core/model_runtime/model_providers/__base/audio.mp3 deleted file mode 100644 index 7c86e02e160909223668c7b21a60b68afc74ef98..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 218880 zcmcG0cU%)$`|qR>0t85?2}MIdYQTghO-T?C6%_@#E?|uKe_w%`b+?x!iKJ%Q(e9v>vGv|B}LC1Iq0`6m9MKwl zQOLqq<%dJL>PQ|d8Lmeek1oD$l{)`(=EI!niFJ=puYcHLhj3{$8WrtKb_;(&JYUIZfDf`YPj9t!!tV+X^-In;Qw`dl@%@0fArnB(okKn+wjEjDj ztawKL&zVY^EbBl{V7?=pyFUHZPb})0FdW9ERrL}%K$<^&i;sgHl|tF^fBIMhiMsJ$ z1rhtp?N1GDq?AMx%npSD?`< z{Mgl;X8OEax*={%#2Zu63G*t(Kg(uK7$H`r!BDZ&UEb;TZ%=+OLcuNljqpey9HXwE z>(X5l8>D+uAGeke$2k~?HX`E^^aiK~raHFT)>Nq<-NmPt*=5NIH`USUO4nM!;+>;c zlTC6RS?DYsB@OS{W5heyQ#2cMrI>6|6rh2i5HTQxZ>PN~4h|eNSO@$MzO%Y`3Nepb zqpo%!W9VsUB61Vx>)W^&L2~*_iMSQvyT^_bK*%SFe3ewn-$$)5UWAYI&*#~ove-LU zPsQB~@SeQzTUF|1t;e7DTo2oGaL^{!=nC!YAMwZ0(z^RmQxRI-DB2H~Gk-<>8oA5+ 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z#+=X6)MCQ@3CpiBiz*KNS@Ctq*s|YrrB5p`6P9?Xr$#Hqk5nNa!BrNnN4`^g4j$HM zf_{i9d}O9(&V9l>zu1QGgrHOs?w|kI&8e1aUZmE&E{L>Bp ze^hyREoFbOJgdWGImc0B2z!Y-9#|hQrd1QeM7=6{SW8w{l;&+NV%ZRPuXJI)ILnvW zSDEv&)3`}GjBJZg|6KX*(8XadLb}%XOHPiKoVPHhxtKgy8e()g*!n`{@*}?0R#oPF znoH%a@qw>D#l@enP4?ya+Sf1J$nQR%YB;{CD8?%U|C8pABL2OILnq1`0z;ihm5b5# zTf$m|AN$0z-B|PdZ7(9wEk59r_riXO6kIljWthgGj62p#W`1kJ|>_Pc?5Mk__^~8PU(<_W9F2oaF`q zsRz<_cC}qK^>19=P51jFiGDs}f?;C6<3PZ|!Dm-4KO0$FP;BozG3#+^E^` z90-BV;`5znPBsLP7hrF+FSn8~j2Rn>R|`Xh-=CC&zuTHmg4SVZyZzV3P zNbaT;bs{78uFIZd&z-x!;0;yZuyi+e&M&^PWr2&^H4n=ZzQwN1`xmbZaB)hnzoB>P zjKHTZYw5+F1xDZAICOu=ZOtOfZ*MMlamuxH7#-rN_dTD@Y008CS>){wtw-C`ShrCV4CHDpy_PeCBX?!QFkp9c3|rvCrt#s2~pxdCAS diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py index 710e168e4fb58b..7f8de7cbab527e 100644 --- a/api/core/model_runtime/model_providers/__base/large_language_model.py +++ b/api/core/model_runtime/model_providers/__base/large_language_model.py @@ -1,7 +1,5 @@ import logging -import re import time -from abc import abstractmethod from collections.abc import Generator, Sequence from typing import Optional, Union @@ -10,23 +8,18 @@ from configs import dify_config from core.model_runtime.callbacks.base_callback import Callback from core.model_runtime.callbacks.logging_callback import LoggingCallback -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage +from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMUsage from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, PromptMessage, - PromptMessageContentType, PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, ) from core.model_runtime.entities.model_entities import ( - ModelPropertyKey, ModelType, - ParameterRule, - ParameterType, PriceType, ) from core.model_runtime.model_providers.__base.ai_model import AIModel +from core.plugin.manager.model import PluginModelManager logger = logging.getLogger(__name__) @@ -71,8 +64,6 @@ def invoke( if model_parameters is None: model_parameters = {} - model_parameters = self._validate_and_filter_model_parameters(model, model_parameters, credentials) - self.started_at = time.perf_counter() callbacks = callbacks or [] @@ -93,29 +84,83 @@ def invoke( callbacks=callbacks, ) + result: Union[LLMResult, Generator[LLMResultChunk, None, None]] + try: - if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}: - result = self._code_block_mode_wrapper( + plugin_model_manager = PluginModelManager() + result = plugin_model_manager.invoke_llm( + tenant_id=self.tenant_id, + user_id=user or "unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model=model, + credentials=credentials, + model_parameters=model_parameters, + prompt_messages=prompt_messages, + tools=tools, + stop=list(stop) if stop else None, + stream=stream, + ) + + if not stream: + content = "" + content_list = [] + usage = LLMUsage.empty_usage() + system_fingerprint = None + tools_calls: list[AssistantPromptMessage.ToolCall] = [] + + def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]): + def get_tool_call(tool_name: str): + if not tool_name: + return tools_calls[-1] + + tool_call = next( + (tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None + ) + if tool_call is None: + tool_call = AssistantPromptMessage.ToolCall( + id="", + type="", + function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""), + ) + tools_calls.append(tool_call) + + return tool_call + + for new_tool_call in new_tool_calls: + # get tool call + tool_call = get_tool_call(new_tool_call.function.name) + # update tool call + if new_tool_call.id: + tool_call.id = new_tool_call.id + if new_tool_call.type: + tool_call.type = new_tool_call.type + if new_tool_call.function.name: + tool_call.function.name = new_tool_call.function.name + if new_tool_call.function.arguments: + tool_call.function.arguments += new_tool_call.function.arguments + + for chunk in result: + if isinstance(chunk.delta.message.content, str): + content += chunk.delta.message.content + elif isinstance(chunk.delta.message.content, list): + content_list.extend(chunk.delta.message.content) + if chunk.delta.message.tool_calls: + increase_tool_call(chunk.delta.message.tool_calls) + + usage = chunk.delta.usage or LLMUsage.empty_usage() + system_fingerprint = chunk.system_fingerprint + break + + result = LLMResult( model=model, - credentials=credentials, prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - callbacks=callbacks, - ) - else: - result = self._invoke( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, + message=AssistantPromptMessage( + content=content or content_list, + tool_calls=tools_calls, + ), + usage=usage, + system_fingerprint=system_fingerprint, ) except Exception as e: self._trigger_invoke_error_callbacks( @@ -131,6 +176,7 @@ def invoke( callbacks=callbacks, ) + # TODO raise self._transform_invoke_error(e) if stream and isinstance(result, Generator): @@ -162,270 +208,6 @@ def invoke( return result - def _code_block_mode_wrapper( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[Sequence[str]] = None, - stream: bool = True, - user: Optional[str] = None, - callbacks: Optional[list[Callback]] = None, - ) -> Union[LLMResult, Generator]: - """ - Code block mode wrapper, ensure the response is a code block with output markdown quote - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :param callbacks: callbacks - :return: full response or stream response chunk generator result - """ - - block_prompts = """You should always follow the instructions and output a valid {{block}} object. -The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure -if you are not sure about the structure. - - -{{instructions}} - -""" # noqa: E501 - - code_block = model_parameters.get("response_format", "") - if not code_block: - return self._invoke( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - model_parameters.pop("response_format") - stop = list(stop) if stop is not None else [] - stop.extend(["\n```", "```\n"]) - block_prompts = block_prompts.replace("{{block}}", code_block) - - # check if there is a system message - if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage): - # override the system message - prompt_messages[0] = SystemPromptMessage( - content=block_prompts.replace("{{instructions}}", str(prompt_messages[0].content)) - ) - else: - # insert the system message - prompt_messages.insert( - 0, - SystemPromptMessage( - content=block_prompts.replace("{{instructions}}", f"Please output a valid {code_block} object.") - ), - ) - - if len(prompt_messages) > 0 and isinstance(prompt_messages[-1], UserPromptMessage): - # add ```JSON\n to the last text message - if isinstance(prompt_messages[-1].content, str): - prompt_messages[-1].content += f"\n```{code_block}\n" - elif isinstance(prompt_messages[-1].content, list): - for i in range(len(prompt_messages[-1].content) - 1, -1, -1): - if prompt_messages[-1].content[i].type == PromptMessageContentType.TEXT: - prompt_messages[-1].content[i].data += f"\n```{code_block}\n" - break - else: - # append a user message - prompt_messages.append(UserPromptMessage(content=f"```{code_block}\n")) - - response = self._invoke( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - if isinstance(response, Generator): - first_chunk = next(response) - - def new_generator(): - yield first_chunk - yield from response - - if first_chunk.delta.message.content and first_chunk.delta.message.content.startswith("`"): - return self._code_block_mode_stream_processor_with_backtick( - model=model, prompt_messages=prompt_messages, input_generator=new_generator() - ) - else: - return self._code_block_mode_stream_processor( - model=model, prompt_messages=prompt_messages, input_generator=new_generator() - ) - - return response - - def _code_block_mode_stream_processor( - self, model: str, prompt_messages: list[PromptMessage], input_generator: Generator[LLMResultChunk, None, None] - ) -> Generator[LLMResultChunk, None, None]: - """ - Code block mode stream processor, ensure the response is a code block with output markdown quote - - :param model: model name - :param prompt_messages: prompt messages - :param input_generator: input generator - :return: output generator - """ - state = "normal" - backtick_count = 0 - for piece in input_generator: - if piece.delta.message.content: - content = piece.delta.message.content - piece.delta.message.content = "" - yield piece - content_piece = content - else: - yield piece - continue - new_piece: str = "" - for char in content_piece: - char = str(char) - if state == "normal": - if char == "`": - state = "in_backticks" - backtick_count = 1 - else: - new_piece += char - elif state == "in_backticks": - if char == "`": - backtick_count += 1 - if backtick_count == 3: - state = "skip_content" - backtick_count = 0 - else: - new_piece += "`" * backtick_count + char - state = "normal" - backtick_count = 0 - elif state == "skip_content": - if char.isspace(): - state = "normal" - - if new_piece: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=new_piece, tool_calls=[]), - ), - ) - - def _code_block_mode_stream_processor_with_backtick( - self, model: str, prompt_messages: list, input_generator: Generator[LLMResultChunk, None, None] - ) -> Generator[LLMResultChunk, None, None]: - """ - Code block mode stream processor, ensure the response is a code block with output markdown quote. - This version skips the language identifier that follows the opening triple backticks. - - :param model: model name - :param prompt_messages: prompt messages - :param input_generator: input generator - :return: output generator - """ - state = "search_start" - backtick_count = 0 - - for piece in input_generator: - if piece.delta.message.content: - content = piece.delta.message.content - # Reset content to ensure we're only processing and yielding the relevant parts - piece.delta.message.content = "" - # Yield a piece with cleared content before processing it to maintain the generator structure - yield piece - content_piece = content - else: - # Yield pieces without content directly - yield piece - continue - - if state == "done": - continue - - new_piece: str = "" - for char in content_piece: - if state == "search_start": - if char == "`": - backtick_count += 1 - if backtick_count == 3: - state = "skip_language" - backtick_count = 0 - else: - backtick_count = 0 - elif state == "skip_language": - # Skip everything until the first newline, marking the end of the language identifier - if char == "\n": - state = "in_code_block" - elif state == "in_code_block": - if char == "`": - backtick_count += 1 - if backtick_count == 3: - state = "done" - break - else: - if backtick_count > 0: - # If backticks were counted but we're still collecting content, it was a false start - new_piece += "`" * backtick_count - backtick_count = 0 - new_piece += str(char) - - elif state == "done": - break - - if new_piece: - # Only yield content collected within the code block - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=new_piece, tool_calls=[]), - ), - ) - - def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]: - """ - If the reasoning response is from delta.get("reasoning_content"), we wrap - it with HTML think tag. - - :param delta: delta dictionary from LLM streaming response - :param is_reasoning: is reasoning - :return: tuple of (processed_content, is_reasoning) - """ - - content = delta.get("content") or "" - reasoning_content = delta.get("reasoning_content") - - if reasoning_content: - if not is_reasoning: - content = "\n" + reasoning_content - is_reasoning = True - else: - content = reasoning_content - elif is_reasoning and content: - # do not end reasoning when content is empty - # there may be more reasoning_content later that follows previous reasoning closely - content = "\n" + content - is_reasoning = False - return content, is_reasoning - def _invoke_result_generator( self, model: str, @@ -497,34 +279,6 @@ def _invoke_result_generator( callbacks=callbacks, ) - @abstractmethod - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[Sequence[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - raise NotImplementedError - - @abstractmethod def get_num_tokens( self, model: str, @@ -541,41 +295,18 @@ def get_num_tokens( :param tools: tools for tool calling :return: """ - raise NotImplementedError - - def enforce_stop_tokens(self, text: str, stop: list[str]) -> str: - """Cut off the text as soon as any stop words occur.""" - return re.split("|".join(stop), text, maxsplit=1)[0] - - def get_parameter_rules(self, model: str, credentials: dict) -> list[ParameterRule]: - """ - Get parameter rules - - :param model: model name - :param credentials: model credentials - :return: parameter rules - """ - model_schema = self.get_model_schema(model, credentials) - if model_schema: - return model_schema.parameter_rules - - return [] - - def get_model_mode(self, model: str, credentials: Optional[dict] = None) -> LLMMode: - """ - Get model mode - - :param model: model name - :param credentials: model credentials - :return: model mode - """ - model_schema = self.get_model_schema(model, credentials) - - mode = LLMMode.CHAT - if model_schema and model_schema.model_properties.get(ModelPropertyKey.MODE): - mode = LLMMode.value_of(model_schema.model_properties[ModelPropertyKey.MODE]) - - return mode + plugin_model_manager = PluginModelManager() + return plugin_model_manager.get_llm_num_tokens( + tenant_id=self.tenant_id, + user_id="unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model_type=self.model_type.value, + model=model, + credentials=credentials, + prompt_messages=prompt_messages, + tools=tools, + ) def _calc_response_usage( self, model: str, credentials: dict, prompt_tokens: int, completion_tokens: int @@ -807,98 +538,3 @@ def _trigger_invoke_error_callbacks( raise e else: logger.warning(f"Callback {callback.__class__.__name__} on_invoke_error failed with error {e}") - - def _validate_and_filter_model_parameters(self, model: str, model_parameters: dict, credentials: dict) -> dict: - """ - Validate model parameters - - :param model: model name - :param model_parameters: model parameters - :param credentials: model credentials - :return: - """ - parameter_rules = self.get_parameter_rules(model, credentials) - - # validate model parameters - filtered_model_parameters = {} - for parameter_rule in parameter_rules: - parameter_name = parameter_rule.name - parameter_value = model_parameters.get(parameter_name) - if parameter_value is None: - if parameter_rule.use_template and parameter_rule.use_template in model_parameters: - # if parameter value is None, use template value variable name instead - parameter_value = model_parameters[parameter_rule.use_template] - else: - if parameter_rule.required: - if parameter_rule.default is not None: - filtered_model_parameters[parameter_name] = parameter_rule.default - continue - else: - raise ValueError(f"Model Parameter {parameter_name} is required.") - else: - continue - - # validate parameter value type - if parameter_rule.type == ParameterType.INT: - if not isinstance(parameter_value, int): - raise ValueError(f"Model Parameter {parameter_name} should be int.") - - # validate parameter value range - if parameter_rule.min is not None and parameter_value < parameter_rule.min: - raise ValueError( - f"Model Parameter {parameter_name} should be greater than or equal to {parameter_rule.min}." - ) - - if parameter_rule.max is not None and parameter_value > parameter_rule.max: - raise ValueError( - f"Model Parameter {parameter_name} should be less than or equal to {parameter_rule.max}." - ) - elif parameter_rule.type == ParameterType.FLOAT: - if not isinstance(parameter_value, float | int): - raise ValueError(f"Model Parameter {parameter_name} should be float.") - - # validate parameter value precision - if parameter_rule.precision is not None: - if parameter_rule.precision == 0: - if parameter_value != int(parameter_value): - raise ValueError(f"Model Parameter {parameter_name} should be int.") - else: - if parameter_value != round(parameter_value, parameter_rule.precision): - raise ValueError( - f"Model Parameter {parameter_name} should be round to {parameter_rule.precision}" - f" decimal places." - ) - - # validate parameter value range - if parameter_rule.min is not None and parameter_value < parameter_rule.min: - raise ValueError( - f"Model Parameter {parameter_name} should be greater than or equal to {parameter_rule.min}." - ) - - if parameter_rule.max is not None and parameter_value > parameter_rule.max: - raise ValueError( - f"Model Parameter {parameter_name} should be less than or equal to {parameter_rule.max}." - ) - elif parameter_rule.type == ParameterType.BOOLEAN: - if not isinstance(parameter_value, bool): - raise ValueError(f"Model Parameter {parameter_name} should be bool.") - elif parameter_rule.type == ParameterType.STRING: - if not isinstance(parameter_value, str): - raise ValueError(f"Model Parameter {parameter_name} should be string.") - - # validate options - if parameter_rule.options and parameter_value not in parameter_rule.options: - raise ValueError(f"Model Parameter {parameter_name} should be one of {parameter_rule.options}.") - elif parameter_rule.type == ParameterType.TEXT: - if not isinstance(parameter_value, str): - raise ValueError(f"Model Parameter {parameter_name} should be text.") - - # validate options - if parameter_rule.options and parameter_value not in parameter_rule.options: - raise ValueError(f"Model Parameter {parameter_name} should be one of {parameter_rule.options}.") - else: - raise ValueError(f"Model Parameter {parameter_name} type {parameter_rule.type} is not supported.") - - filtered_model_parameters[parameter_name] = parameter_value - - return filtered_model_parameters diff --git a/api/core/model_runtime/model_providers/__base/model_provider.py b/api/core/model_runtime/model_providers/__base/model_provider.py deleted file mode 100644 index 36e3e7bd557163..00000000000000 --- a/api/core/model_runtime/model_providers/__base/model_provider.py +++ /dev/null @@ -1,121 +0,0 @@ -import os -from abc import ABC, abstractmethod -from typing import Optional - -from core.helper.module_import_helper import get_subclasses_from_module, import_module_from_source -from core.model_runtime.entities.model_entities import AIModelEntity, ModelType -from core.model_runtime.entities.provider_entities import ProviderEntity -from core.model_runtime.model_providers.__base.ai_model import AIModel -from core.tools.utils.yaml_utils import load_yaml_file - - -class ModelProvider(ABC): - provider_schema: Optional[ProviderEntity] = None - model_instance_map: dict[str, AIModel] = {} - - @abstractmethod - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - You can choose any validate_credentials method of model type or implement validate method by yourself, - such as: get model list api - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - raise NotImplementedError - - def get_provider_schema(self) -> ProviderEntity: - """ - Get provider schema - - :return: provider schema - """ - if self.provider_schema: - return self.provider_schema - - # get dirname of the current path - provider_name = self.__class__.__module__.split(".")[-1] - - # get the path of the model_provider classes - base_path = os.path.abspath(__file__) - current_path = os.path.join(os.path.dirname(os.path.dirname(base_path)), provider_name) - - # read provider schema from yaml file - yaml_path = os.path.join(current_path, f"{provider_name}.yaml") - yaml_data = load_yaml_file(yaml_path) - - try: - # yaml_data to entity - provider_schema = ProviderEntity(**yaml_data) - except Exception as e: - raise Exception(f"Invalid provider schema for {provider_name}: {str(e)}") - - # cache schema - self.provider_schema = provider_schema - - return provider_schema - - def models(self, model_type: ModelType) -> list[AIModelEntity]: - """ - Get all models for given model type - - :param model_type: model type defined in `ModelType` - :return: list of models - """ - provider_schema = self.get_provider_schema() - if model_type not in provider_schema.supported_model_types: - return [] - - # get model instance of the model type - model_instance = self.get_model_instance(model_type) - - # get predefined models (predefined_models) - models = model_instance.predefined_models() - - # return models - return models - - def get_model_instance(self, model_type: ModelType) -> AIModel: - """ - Get model instance - - :param model_type: model type defined in `ModelType` - :return: - """ - # get dirname of the current path - provider_name = self.__class__.__module__.split(".")[-1] - - if f"{provider_name}.{model_type.value}" in self.model_instance_map: - return self.model_instance_map[f"{provider_name}.{model_type.value}"] - - # get the path of the model type classes - base_path = os.path.abspath(__file__) - model_type_name = model_type.value.replace("-", "_") - model_type_path = os.path.join(os.path.dirname(os.path.dirname(base_path)), provider_name, model_type_name) - model_type_py_path = os.path.join(model_type_path, f"{model_type_name}.py") - - if not os.path.isdir(model_type_path) or not os.path.exists(model_type_py_path): - raise Exception(f"Invalid model type {model_type} for provider {provider_name}") - - # Dynamic loading {model_type_name}.py file and find the subclass of AIModel - parent_module = ".".join(self.__class__.__module__.split(".")[:-1]) - mod = import_module_from_source( - module_name=f"{parent_module}.{model_type_name}.{model_type_name}", py_file_path=model_type_py_path - ) - # FIXME "type" has no attribute "__abstractmethods__" ignore it for now fix it later - model_class = next( - filter( - lambda x: x.__module__ == mod.__name__ and not x.__abstractmethods__, # type: ignore - get_subclasses_from_module(mod, AIModel), - ), - None, - ) - if not model_class: - raise Exception(f"Missing AIModel Class for model type {model_type} in {model_type_py_path}") - - model_instance_map = model_class() - self.model_instance_map[f"{provider_name}.{model_type.value}"] = model_instance_map - - return model_instance_map diff --git a/api/core/model_runtime/model_providers/__base/moderation_model.py b/api/core/model_runtime/model_providers/__base/moderation_model.py index d04414ccb87a63..f98d7572c727d0 100644 --- a/api/core/model_runtime/model_providers/__base/moderation_model.py +++ b/api/core/model_runtime/model_providers/__base/moderation_model.py @@ -1,11 +1,11 @@ import time -from abc import abstractmethod from typing import Optional from pydantic import ConfigDict from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel +from core.plugin.manager.model import PluginModelManager class ModerationModel(AIModel): @@ -31,19 +31,15 @@ def invoke(self, model: str, credentials: dict, text: str, user: Optional[str] = self.started_at = time.perf_counter() try: - return self._invoke(model, credentials, text, user) + plugin_model_manager = PluginModelManager() + return plugin_model_manager.invoke_moderation( + tenant_id=self.tenant_id, + user_id=user or "unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model=model, + credentials=credentials, + text=text, + ) except Exception as e: raise self._transform_invoke_error(e) - - @abstractmethod - def _invoke(self, model: str, credentials: dict, text: str, user: Optional[str] = None) -> bool: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param text: text to moderate - :param user: unique user id - :return: false if text is safe, true otherwise - """ - raise NotImplementedError diff --git a/api/core/model_runtime/model_providers/__base/rerank_model.py b/api/core/model_runtime/model_providers/__base/rerank_model.py index 5fb96047425592..e905cb18d46282 100644 --- a/api/core/model_runtime/model_providers/__base/rerank_model.py +++ b/api/core/model_runtime/model_providers/__base/rerank_model.py @@ -1,10 +1,9 @@ -import time -from abc import abstractmethod from typing import Optional from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.entities.rerank_entities import RerankResult from core.model_runtime.model_providers.__base.ai_model import AIModel +from core.plugin.manager.model import PluginModelManager class RerankModel(AIModel): @@ -36,34 +35,19 @@ def invoke( :param user: unique user id :return: rerank result """ - self.started_at = time.perf_counter() - try: - return self._invoke(model, credentials, query, docs, score_threshold, top_n, user) + plugin_model_manager = PluginModelManager() + return plugin_model_manager.invoke_rerank( + tenant_id=self.tenant_id, + user_id=user or "unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model=model, + credentials=credentials, + query=query, + docs=docs, + score_threshold=score_threshold, + top_n=top_n, + ) except Exception as e: raise self._transform_invoke_error(e) - - @abstractmethod - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n - :param user: unique user id - :return: rerank result - """ - raise NotImplementedError diff --git a/api/core/model_runtime/model_providers/__base/speech2text_model.py b/api/core/model_runtime/model_providers/__base/speech2text_model.py index b6b0b737436d9c..97ff322f09c2d2 100644 --- a/api/core/model_runtime/model_providers/__base/speech2text_model.py +++ b/api/core/model_runtime/model_providers/__base/speech2text_model.py @@ -1,11 +1,10 @@ -import os -from abc import abstractmethod from typing import IO, Optional from pydantic import ConfigDict from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel +from core.plugin.manager.model import PluginModelManager class Speech2TextModel(AIModel): @@ -20,7 +19,7 @@ class Speech2TextModel(AIModel): def invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: """ - Invoke large language model + Invoke speech to text model :param model: model name :param credentials: model credentials @@ -29,31 +28,15 @@ def invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[ :return: text for given audio file """ try: - return self._invoke(model, credentials, file, user) + plugin_model_manager = PluginModelManager() + return plugin_model_manager.invoke_speech_to_text( + tenant_id=self.tenant_id, + user_id=user or "unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model=model, + credentials=credentials, + file=file, + ) except Exception as e: raise self._transform_invoke_error(e) - - @abstractmethod - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - raise NotImplementedError - - def _get_demo_file_path(self) -> str: - """ - Get demo file for given model - - :return: demo file - """ - # Get the directory of the current file - current_dir = os.path.dirname(os.path.abspath(__file__)) - - # Construct the path to the audio file - return os.path.join(current_dir, "audio.mp3") diff --git a/api/core/model_runtime/model_providers/__base/text2img_model.py b/api/core/model_runtime/model_providers/__base/text2img_model.py deleted file mode 100644 index a5810e2f0e4b09..00000000000000 --- a/api/core/model_runtime/model_providers/__base/text2img_model.py +++ /dev/null @@ -1,54 +0,0 @@ -from abc import abstractmethod -from typing import IO, Optional - -from pydantic import ConfigDict - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.model_providers.__base.ai_model import AIModel - - -class Text2ImageModel(AIModel): - """ - Model class for text2img model. - """ - - model_type: ModelType = ModelType.TEXT2IMG - - # pydantic configs - model_config = ConfigDict(protected_namespaces=()) - - def invoke( - self, model: str, credentials: dict, prompt: str, model_parameters: dict, user: Optional[str] = None - ) -> list[IO[bytes]]: - """ - Invoke Text2Image model - - :param model: model name - :param credentials: model credentials - :param prompt: prompt for image generation - :param model_parameters: model parameters - :param user: unique user id - - :return: image bytes - """ - try: - return self._invoke(model, credentials, prompt, model_parameters, user) - except Exception as e: - raise self._transform_invoke_error(e) - - @abstractmethod - def _invoke( - self, model: str, credentials: dict, prompt: str, model_parameters: dict, user: Optional[str] = None - ) -> list[IO[bytes]]: - """ - Invoke Text2Image model - - :param model: model name - :param credentials: model credentials - :param prompt: prompt for image generation - :param model_parameters: model parameters - :param user: unique user id - - :return: image bytes - """ - raise NotImplementedError diff --git a/api/core/model_runtime/model_providers/__base/text_embedding_model.py b/api/core/model_runtime/model_providers/__base/text_embedding_model.py index 33135129082b1d..c4c1f9217795aa 100644 --- a/api/core/model_runtime/model_providers/__base/text_embedding_model.py +++ b/api/core/model_runtime/model_providers/__base/text_embedding_model.py @@ -1,5 +1,3 @@ -import time -from abc import abstractmethod from typing import Optional from pydantic import ConfigDict @@ -8,6 +6,7 @@ from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult from core.model_runtime.model_providers.__base.ai_model import AIModel +from core.plugin.manager.model import PluginModelManager class TextEmbeddingModel(AIModel): @@ -38,36 +37,22 @@ def invoke( :param input_type: input type :return: embeddings result """ - self.started_at = time.perf_counter() - try: - return self._invoke(model, credentials, texts, user, input_type) + plugin_model_manager = PluginModelManager() + return plugin_model_manager.invoke_text_embedding( + tenant_id=self.tenant_id, + user_id=user or "unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model=model, + credentials=credentials, + texts=texts, + input_type=input_type.value, + ) except Exception as e: raise self._transform_invoke_error(e) - @abstractmethod - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - raise NotImplementedError - - @abstractmethod - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: + def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> list[int]: """ Get number of tokens for given prompt messages @@ -76,7 +61,16 @@ def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int :param texts: texts to embed :return: """ - raise NotImplementedError + plugin_model_manager = PluginModelManager() + return plugin_model_manager.get_text_embedding_num_tokens( + tenant_id=self.tenant_id, + user_id="unknown", + plugin_id=self.plugin_id, + provider=self.provider_name, + model=model, + credentials=credentials, + texts=texts, + ) def _get_context_size(self, model: str, credentials: dict) -> int: """ diff --git a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/merges.txt b/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/merges.txt deleted file mode 100644 index 226b0752cac778..00000000000000 --- a/api/core/model_runtime/model_providers/__base/tokenizers/gpt2/merges.txt +++ /dev/null @@ -1,50001 +0,0 @@ -#version: 0.2 -Ġ t -Ġ a -h e -i n -r e -o n -Ġt he -e r -Ġ s -a t -Ġ w -Ġ o -e n -Ġ c -i t -i s -a n -o r -e s 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ub -Or ange -Ġfingert ips -ĠWood en -ĠK idd -ĠJ PM -ĠDam n -C ow -c odes -48 2 -Ġiniti ating -ĠEl k -ĠCut ting -Ġabsent ee -ĠV ance -ĠLil ith -G UI -Ġobsc ured -Ġdwar ves -ĠCh op -ĠB oko -Val ues -Ġmult imedia -Ġbrew ed -Reg ular -CRIP TION -ĠMort al -Ġa pex -Ġtravel er -Ġbo ils -Ġspray ing -Rep resent -ĠStars hip -4 28 -Ġdisappro val -Ġshadow y -Ġlament ed -ĠRe place -ĠFran ç -67 7 -d or -Ġunst oppable -Ġcoh orts -gy n -ĠClass ics -ĠAm ph -Ġsl uggish -ĠAdd iction -ĠPad res -Ġins cription -Ġin human -min us -ĠJere miah -at ars -Ter ror -ĠT os -ĠSh arma -ast a -c atch -Ġpl umbing -ĠTim bers -Sh ar -H al -ĠO sc -Ġcou pling -hum ans -Ġsp onge -Ġid ols -ĠSp a -ĠAdv ocate -ĠBe ats -lu a -Ġtick ing -Ġload er -ĠG ron -8 10 -Ġstim ulated -Ġside bar -ĠManufact urer -ore And -19 73 -Ġpra ises -ĠFl ores -dis able -ĠElect rical -ra ise -E th -Ġmigr ated -Ġlect urer -K ids -ĠCa vern -Ġk ettle -Ġgly c -ĠMand ela -ĠF ully -å§ « -FIN EST -Ġsquee zing -ĠRy der -amp oo -oreAnd Online -Inst oreAndOnline 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-Ġreform ing -Ġfrust rations -ĠDead pool -ĠBel ichick -ract or -ĠRagnar ok -ĠD rupal -ĠApp roximately -19 20 -ĠHub ble -arm or -ĠSar as -ĠJon as -Ġnostalg ic -Ġfeas ibility -Sah aran -Ġorb iting -Ġ9 70 -R u -Ġsh in -ĠInvestig ators -Ġinconsist encies -ĠP AN -B G -Ġgraz ing -Ġdetect ors -ĠStart up -ĠFun ny -ĠNa omi -Consider ing -Ġh og -ut f -ce mic -Ġfort ified -ĠFun ctions -Ġcod ec -nut rition -H at -" ! -micro soft -55 8 -ĠTh in -ĠA CE -Al ias -ĠO PS -p apers -P K -ãĢ İ -Ġimpro bable -N orthern -equ al -Ġlook out -Ġty res -ĠMod ified -ĠK op -Abs olutely -Ġbuild up -sil ver -Ġaud i -Ġgro tesque -ĠSab er -ĠPres byter -ON Y -Ġglac iers -ĠSho als -ĠK ass -ĠH RC -ĠNic ol -ĠL unch -ĠF oss -âĸ Ĵ -AD RA -ĠOne Plus -o ing -ground s -Ġincident al -Ġdatas ets -68 9 -ĠClarks on -Ġassemb ling -ĠCorrect ions -Ġdrink ers -Ġqual ifiers -Ġle ash -Ġunf ounded -ĠH undred -Ġkick off -T i -Ġrecon cil -ĠGr ants -ĠCompl iance -ĠDexter ity -Ġ19 06 -w arn -D allas -Max imum -n ard -av ia -be aut -ens itivity -tr ace -Ġpione ers -ĠF ract -ãĢ ı -Ġpre cept -Ġgloss y -ĠI EEE -Ac ross -Ġ6 80 -S leep -che on -Ġsatir ical -ĠMin otaur -ĠCla ude -Ġr é -ape go -Ġcar rot -ĠSem in -ino a -Ġz o -Ind ependent -Ġdiagn oses -ĠC ue -M AR -Ġrend ition -ĠK ik -Ġpath ology -Ġselect s -Link edIn -Ġass ay -ĠD res -Ġtext ual -post ed -IT AL -ĠM aul -N eal -Ġinter connected -Ġerr atic -ĠVir us -Ġ5 30 -Ġenvironmental ists -ĠP helps -Ġeng agements -ĠIN ST -Ġeconom ical -nox ious -Ġg earing -izz y -Ġfavor ably -ĠMcG ill -T erm -Ġh anged -Ġball park -ĠRe yes -Ġbe ware -ĠP sal -ĠMass acre -q i -Ġin accessible -acly sm -Ġfr ay -ill ac -Ġbitter ly -ĠCert ification -Mich igan -Ġir respective -al ore -Em pty -Ġendorse ments -Ġund et -f g -equ ipped -Ġmerc iless -ĠC ust -Ġimm ature -Ġvou cher -ĠBlack well -Ñ ı -h awk -dis ciplinary -ile e -ĠMak oto -ĠD ude -ãĥĩ ãĤ£ -Y ears -Ġin ver -Ġsh aman -ĠY ong -ip el -ell en -ĠCath y -br ids -Ġs arc -65 1 -N ear -Ġground work -Ġam az -Ġ4 15 -ĠHunting ton -hew s -ĠB ung -Ġarbit rarily -ĠW it -ĠAl berto -Ġdis qualified -best os -46 1 -Ġp c -Ġ28 4 -ro bat -Rob in -Ġh ugs -ĠTrans ition -ĠOcc asionally -Ġ3 26 -ĠWh ilst -ĠLe y -Ġspaces hip -cs v -Ġun successfully -ĠA u -le ck -ĠWing ed -ĠGrizz lies -. � -Ġne arer -ĠSorce ress -ĠInd igo -El se -8 40 -let es -Co ach -Ġup bringing -ĠK es -Ġseparat ist -Ġrac ists -Ġch ained -Ġabst inence -lear ning -Ġrein stated -Ġsymm etry -Ġremind ers -ĠChe vy -Ġm ont -Ġexempl ary -ĠT OR -Z X -Ġqual itative -ĠSt amp -ĠSav annah -ĠRoss i -Ġp aed -Ġdispens aries -ĠWall s -ĠCh ronic -Ġcompliment ary -ĠBeir ut -Ġ+ --- -igs list -Ġcrypt ographic -mas ters -ĠCap itals -Ġmax imal -Ġent ropy -Point s -Ġcombat ants -l ip -ĠGl ob -ĠB MC -ph ase -th ank -HT TP -Ġcomm uter -Ġ\( \ -.. / -ĠReg ener -ĠDO I -ĠActiv ision -Ġsl it -os al -RE M -Ġch ants -Y u -Ke ys -Bre xit -ĠFor ced -Ari zona -Ġsquad ron -IS O -ĠMal one -Ġ3 38 -Ġcontrast ing -Ġt idal -Ġlib el -Ġimpl anted -Ġupro ar -ĠC ater -Ġpropos itions -M anchester -ĠEuro s -it amin -G il -ĠEl ven -ĠSe 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", -al on -K rist -Ġmeas urable -Ġimagin able -Ġapost les -Y N -7 60 -Ġster oid -Ġspecific ity -ĠL ocated -ĠBeck er -ĠE du -ĠDiet ary -uts ch -ĠMar ilyn -Ġbl ister -ĠM EP -ĠK oz -ĠC MS -y ahoo -ĠCar ney -Ġbo asting -ĠC aleb -By te -read s -ad en -Pro blem -ĠWood ward -S we -S up -ĠK GB -Set up -Ġtac it -Ġret ribution -Ġd ues -ĠM ü -. ? -ä¸ Ń -p ots -Ġcame o -ĠP AL -educ ation -A my -like ly -g ling -Ġconstitution ally -ĠHam m -ĠSpe ak -Ġwid gets -br ate -Ġcra ppy -ĠI ter -Ġanticip ating -ĠB out -P ixel -ĠY ep -ĠLaur ie -Ġh ut -Ġbullet in -ĠSal vation -Ġch ats -ear able -Honest ly -AL TH -onse qu -c ult -isco very -ovy ch -Ġse lves -ĠSat oshi -S ounds -Ġconver gence -ĠRosen berg -19 74 -Ġnas al -Ġfull est -Ġfer ocious -x us -ist e -AM S -Ġlobb ied -Ġso othing -ĠGun n -t oday -0 24 -Ġinspir ational -ĠN BN -p b -g ewater -or ah -all owed -ĠCol iseum -Ġspecial izing -Ġinsane ly -ĠT ape -del ay -Ġt arn -ĠP ound -Ġmel anch -Ġdeploy ments -il and -Ġless en -Ġfur ry -ĠUE FA -Ġblood shed -ĠMe ier -ither ing -Ġhe irs -ĠJ aw -ax ter -ĠPublic ations -Ġal ters -int ention -ĠWinc hester -d etermination -ĠLif etime -th in -Mon ster -7 80 -Ġapprox imation -Ġsuper markets -ĠSecond s -or os -h uge -Ġb ribe -ĠLIM ITED -un ed -Ġmis interpret -ĠIn jury -Ġ3 67 -Ġthreshold s -ĠCarn ival -Ġgastro intestinal -Ġguid eline -Ġde ceived -f eatures -Ġpurported ly -ĠRon nie -ĠNew t -Ġsp acious -as us -Ġsuperhero es -ĠCyn thia -le gged -k amp -ch io -Ġth umbnail -ĠShir ley -ill ation -Ġshe ds -ĠZ y -E PA -Ġdam s -Ġy awn -n ah -ĠPe ggy -ĠE rie -ĠJu ventus -ĠF ountain -r x -don ald -al bum -ĠComp rehensive -Ġc aching -ĠU z -ulner ability -ĠPrinc iple -ĠJ ian -ing ers -cast s -ĠOs iris -ch art -t ile -ĠTiff any -ĠPatt on -ĠWh ip -Ġovers ized -J e -ĠCind erella -ĠB orders -ĠDa esh -M ah -Ġdog ma -Ġcommun ists -v u -Coun cil -Ġfresh water -Ġw ounding -Ġdeb acle -Ġyoung ster -Ġthread ed -ĠB ots -ĠSav ings -ãģ Ĥ -ol ing -oh o -Ġillum ination -M RI -Ġlo osen -tr ump -ag ency -ur ion -Ġmoment arily -ĠCh un -ĠBud apest -ĠAl ley -D isk -Ġaston ished -ĠCon quer -ĠAccount ing -h aving -ĠWe in -ĠAl right -Ġrev olver -Ġdel usion -Ġrelic s -Ġad herent -qu ant -Ġhand made -or io -Ġcomb ating -c oded -Ġquad ru -re th -N ik -ĠTrib al -ĠMyster ious -Ġin hal -ĠWin ning -ĠClass ification -ch anged -Ġun ab -Ġsc orn -icip ated -w l -ond uctor -Ġrein forcing -ĠChild hood -an ova -Ġadventure r -Ġdoctor al -ĠStrateg ies -Ġengulf ed -ĠEnc ounter -Ġl ashes -Crit ical -ric ular -ĠU TF -oci ation -check ing -ĠConsult ing -Run time -per iod -ĠAs gard -Ġdist illed -ĠPas adena -ĠD ying -ĠCOUN TY -Ġgran ite -Ġsm ack -Ġparach ute -ĠS UR -Virgin ia -ĠF urious -78 7 -ĠO kin -Ġcam el -ĠM bps -19 72 -ĠCh ao -ĠC yan -j oice -ef er -ĠW rap -ĠDeb ate -S eg -Ġfore arm -ĠIgn ore -Ġtim estamp -Ġprob ing -ĠNo on -ĠGra il -f en -Ġdorm ant -ĠFirst ly -ĠE ighth -ĠH UN -ĠDes ire -or as -Girl s -ĠDes mond -z ar -am ines -O AD -exec ute -Ġbo obs -ĠAT L -_ ( -Chel sea -Ġmasturb ation -ĠCo C -Ġdestroy er -ĠCh omsky -Ġsc atter 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- Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `hunyuan-standard` model for validate, - model_instance.validate_credentials(model="hunyuan-standard", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml b/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml deleted file mode 100644 index e0d95a830c6c37..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml +++ /dev/null @@ -1,41 +0,0 @@ -provider: hunyuan -label: - zh_Hans: 腾讯混元 - en_US: Hunyuan -description: - en_US: Models provided by Tencent Hunyuan, such as hunyuan-standard, hunyuan-standard-256k, hunyuan-pro, hunyuan-role, hunyuan-large, hunyuan-large-role, hunyuan-turbo-latest, hunyuan-large-longcontext, hunyuan-turbo, hunyuan-vision, hunyuan-turbo-vision, hunyuan-functioncall and hunyuan-lite. - zh_Hans: 腾讯混元提供的模型，例如 hunyuan-standard、 hunyuan-standard-256k, hunyuan-pro, hunyuan-role, hunyuan-large, hunyuan-large-role, hunyuan-turbo-latest, hunyuan-large-longcontext, hunyuan-turbo, hunyuan-vision, hunyuan-turbo-vision, hunyuan-functioncall 和 hunyuan-lite。 -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -background: "#F6F7F7" -help: - title: - en_US: Get your API Key from Tencent Hunyuan - zh_Hans: 从腾讯混元获取 API Key - url: - en_US: https://console.cloud.tencent.com/cam/capi -supported_model_types: - - llm - - text-embedding -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: secret_id - label: - en_US: Secret ID - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 Secret ID - en_US: Enter your Secret ID - - variable: secret_key - label: - en_US: Secret Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 Secret Key - en_US: Enter your Secret Key diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/__init__.py b/api/core/model_runtime/model_providers/hunyuan/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml deleted file mode 100644 index 6f589b3094a99b..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml +++ /dev/null @@ -1,13 +0,0 @@ -- hunyuan-lite -- hunyuan-standard -- hunyuan-standard-256k -- hunyuan-pro -- hunyuan-turbo -- hunyuan-vision -- hunyuan-role -- hunyuan-large -- hunyuan-large-role -- hunyuan-large-longcontext -- hunyuan-turbo-latest -- hunyuan-turbo-vision -- hunyuan-functioncall diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-functioncall.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-functioncall.yaml deleted file mode 100644 index eb8656917c1416..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-functioncall.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-functioncall -label: - zh_Hans: hunyuan-functioncall - en_US: hunyuan-functioncall -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.004' - output: '0.008' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-longcontext.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-longcontext.yaml deleted file mode 100644 index c39724a3a9eceb..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-longcontext.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-large-longcontext -label: - zh_Hans: hunyuan-large-longcontext - en_US: hunyuan-large-longcontext -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 134000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 134000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.006' - output: '0.018' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-role.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-role.yaml deleted file mode 100644 index 1b40b35ed5d6d1..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large-role.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-large-role -label: - zh_Hans: hunyuan-large-role - en_US: hunyuan-large-role -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.004' - output: '0.008' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large.yaml deleted file mode 100644 index 87dc104e116e8d..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-large.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-large -label: - zh_Hans: hunyuan-large - en_US: hunyuan-large -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml deleted file mode 100644 index 4f5a5dfb4858ae..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml +++ /dev/null @@ -1,28 +0,0 @@ -model: hunyuan-lite -label: - zh_Hans: hunyuan-lite - en_US: hunyuan-lite -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 256000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 256000 -pricing: - input: '0.00' - output: '0.00' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml deleted file mode 100644 index b173ffbe778563..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-pro -label: - zh_Hans: hunyuan-pro - en_US: hunyuan-pro -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.03' - output: '0.10' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-role.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-role.yaml deleted file mode 100644 index 0f6d2c5c440fda..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-role.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-role -label: - zh_Hans: hunyuan-role - en_US: hunyuan-role -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.004' - output: '0.008' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml deleted file mode 100644 index 8504b90eb3cf74..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-standard-256K -label: - zh_Hans: hunyuan-standard-256K - en_US: hunyuan-standard-256K -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 256000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 256000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.015' - output: '0.06' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml deleted file mode 100644 index 1db25930fc7b1c..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-standard -label: - zh_Hans: hunyuan-standard - en_US: hunyuan-standard -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.0045' - output: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-latest.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-latest.yaml deleted file mode 100644 index adfa3a4c1b8733..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-latest.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-turbo-latest -label: - zh_Hans: hunyuan-turbo-latest - en_US: hunyuan-turbo-latest -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.015' - output: '0.05' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-vision.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-vision.yaml deleted file mode 100644 index 5b9b17cc506a1d..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo-vision.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: hunyuan-turbo-vision -label: - zh_Hans: hunyuan-turbo-vision - en_US: hunyuan-turbo-vision -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.08' - output: '0.08' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo.yaml deleted file mode 100644 index 4837fed4bae563..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-turbo.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: hunyuan-turbo -label: - zh_Hans: hunyuan-turbo - en_US: hunyuan-turbo -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.015' - output: '0.05' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-vision.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-vision.yaml deleted file mode 100644 index 9edc7f4710f9a5..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-vision.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: hunyuan-vision -label: - zh_Hans: hunyuan-vision - en_US: hunyuan-vision -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 - - name: enable_enhance - label: - zh_Hans: 功能增强 - en_US: Enable Enhancement - type: boolean - help: - zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 - en_US: Allow the model to perform external search to enhance the generation results. - required: false - default: true -pricing: - input: '0.018' - output: '0.018' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/llm.py b/api/core/model_runtime/model_providers/hunyuan/llm/llm.py deleted file mode 100644 index 9b7686ded2f830..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/llm/llm.py +++ /dev/null @@ -1,349 +0,0 @@ -import json -import logging -from collections.abc import Generator -from typing import cast - -from tencentcloud.common import credential # type: ignore -from tencentcloud.common.exception import TencentCloudSDKException # type: ignore -from tencentcloud.common.profile.client_profile import ClientProfile # type: ignore -from tencentcloud.common.profile.http_profile import HttpProfile # type: ignore -from tencentcloud.hunyuan.v20230901 import hunyuan_client, models # type: ignore - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.invoke import InvokeError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel - -logger = logging.getLogger(__name__) - - -class HunyuanLargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - client = self._setup_hunyuan_client(credentials) - request = models.ChatCompletionsRequest() - messages_dict = self._convert_prompt_messages_to_dicts(prompt_messages) - - custom_parameters = { - "Temperature": model_parameters.get("temperature", 0.0), - "TopP": model_parameters.get("top_p", 1.0), - "EnableEnhancement": model_parameters.get("enable_enhance", True), - } - - params = { - "Model": model, - "Messages": messages_dict, - "Stream": stream, - "Stop": stop, - **custom_parameters, - } - # add Tools and ToolChoice - if tools and len(tools) > 0: - params["ToolChoice"] = "auto" - params["Tools"] = [ - { - "Type": "function", - "Function": { - "Name": tool.name, - "Description": tool.description, - "Parameters": json.dumps(tool.parameters), - }, - } - for tool in tools - ] - - request.from_json_string(json.dumps(params)) - response = client.ChatCompletions(request) - - if stream: - return self._handle_stream_chat_response(model, credentials, prompt_messages, response) - - return self._handle_chat_response(credentials, model, prompt_messages, response) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate credentials - """ - try: - client = self._setup_hunyuan_client(credentials) - - req = models.ChatCompletionsRequest() - params = { - "Model": model, - "Messages": [{"Role": "user", "Content": "hello"}], - "TopP": 1, - "Temperature": 0, - "Stream": False, - } - req.from_json_string(json.dumps(params)) - client.ChatCompletions(req) - except Exception as e: - raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") - - def _setup_hunyuan_client(self, credentials): - secret_id = credentials["secret_id"] - secret_key = credentials["secret_key"] - cred = credential.Credential(secret_id, secret_key) - httpProfile = HttpProfile() - httpProfile.endpoint = "hunyuan.tencentcloudapi.com" - clientProfile = ClientProfile() - clientProfile.httpProfile = httpProfile - client = hunyuan_client.HunyuanClient(cred, "", clientProfile) - return client - - def _convert_prompt_messages_to_dicts(self, prompt_messages: list[PromptMessage]) -> list[dict]: - """Convert a list of PromptMessage objects to a list of dictionaries with 'Role' and 'Content' keys.""" - dict_list = [] - for message in prompt_messages: - if isinstance(message, AssistantPromptMessage): - tool_calls = message.tool_calls - if tool_calls and len(tool_calls) > 0: - dict_tool_calls = [ - { - "Id": tool_call.id, - "Type": tool_call.type, - "Function": { - "Name": tool_call.function.name, - "Arguments": tool_call.function.arguments - if (tool_call.function.arguments == "") - else "{}", - }, - } - for tool_call in tool_calls - ] - - dict_list.append( - { - "Role": message.role.value, - # fix set content = "" while tool_call request - # fix [hunyuan] None, [TencentCloudSDKException] code:InvalidParameter - # message:Messages Content and Contents not allowed empty at the same time. - "Content": " ", # message.content if (message.content is not None) else "", - "ToolCalls": dict_tool_calls, - } - ) - else: - dict_list.append({"Role": message.role.value, "Content": message.content}) - elif isinstance(message, ToolPromptMessage): - tool_execute_result = {"result": message.content} - content = json.dumps(tool_execute_result, ensure_ascii=False) - dict_list.append({"Role": message.role.value, "Content": content, "ToolCallId": message.tool_call_id}) - elif isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - dict_list.append({"Role": message.role.value, "Content": message.content}) - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - sub_message_dict = {"Type": "text", "Text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - sub_message_dict = { - "Type": "image_url", - "ImageUrl": {"Url": message_content.data}, - } - sub_messages.append(sub_message_dict) - dict_list.append({"Role": message.role.value, "Contents": sub_messages}) - else: - dict_list.append({"Role": message.role.value, "Content": message.content}) - return dict_list - - def _handle_stream_chat_response(self, model, credentials, prompt_messages, resp): - tool_call = None - tool_calls = [] - - for index, event in enumerate(resp): - logging.debug("_handle_stream_chat_response, event: %s", event) - - data_str = event["data"] - data = json.loads(data_str) - - choices = data.get("Choices", []) - if not choices: - continue - choice = choices[0] - delta = choice.get("Delta", {}) - message_content = delta.get("Content", "") - finish_reason = choice.get("FinishReason", "") - - usage = data.get("Usage", {}) - prompt_tokens = usage.get("PromptTokens", 0) - completion_tokens = usage.get("CompletionTokens", 0) - - response_tool_calls = delta.get("ToolCalls") - if response_tool_calls is not None: - new_tool_calls = self._extract_response_tool_calls(response_tool_calls) - if len(new_tool_calls) > 0: - new_tool_call = new_tool_calls[0] - if tool_call is None: - tool_call = new_tool_call - elif tool_call.id != new_tool_call.id: - tool_calls.append(tool_call) - tool_call = new_tool_call - else: - tool_call.function.name += new_tool_call.function.name - tool_call.function.arguments += new_tool_call.function.arguments - if tool_call is not None and len(tool_call.function.name) > 0 and len(tool_call.function.arguments) > 0: - tool_calls.append(tool_call) - tool_call = None - - assistant_prompt_message = AssistantPromptMessage(content=message_content, tool_calls=[]) - # rewrite content = "" while tool_call to avoid show content on web page - if len(tool_calls) > 0: - assistant_prompt_message.content = "" - - # add tool_calls to assistant_prompt_message - if finish_reason == "tool_calls": - assistant_prompt_message.tool_calls = tool_calls - tool_call = None - tool_calls = [] - - if len(finish_reason) > 0: - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - delta_chunk = LLMResultChunkDelta( - index=index, - role=delta.get("Role", "assistant"), - message=assistant_prompt_message, - usage=usage, - finish_reason=finish_reason, - ) - tool_call = None - tool_calls = [] - - else: - delta_chunk = LLMResultChunkDelta( - index=index, - message=assistant_prompt_message, - ) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=delta_chunk, - ) - - def _handle_chat_response(self, credentials, model, prompt_messages, response): - usage = self._calc_response_usage( - model, credentials, response.Usage.PromptTokens, response.Usage.CompletionTokens - ) - assistant_prompt_message = AssistantPromptMessage() - assistant_prompt_message.content = response.Choices[0].Message.Content - result = LLMResult( - model=model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - ) - - return result - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - if len(prompt_messages) == 0: - return 0 - prompt = self._convert_messages_to_prompt(prompt_messages) - return self._get_num_tokens_by_gpt2(prompt) - - def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str: - """ - Format a list of messages into a full prompt for the Anthropic model - - :param messages: List of PromptMessage to combine. - :return: Combined string with necessary human_prompt and ai_prompt tags. - """ - messages = messages.copy() # don't mutate the original list - - text = "".join(self._convert_one_message_to_text(message) for message in messages) - - # trim off the trailing ' ' that might come from the "Assistant: " - return text.rstrip() - - def _convert_one_message_to_text(self, message: PromptMessage) -> str: - """ - Convert a single message to a string. - - :param message: PromptMessage to convert. - :return: String representation of the message. - """ - human_prompt = "\n\nHuman:" - ai_prompt = "\n\nAssistant:" - tool_prompt = "\n\nTool:" - content = message.content - - if isinstance(message, UserPromptMessage): - message_text = f"{human_prompt} {content}" - elif isinstance(message, AssistantPromptMessage): - message_text = f"{ai_prompt} {content}" - elif isinstance(message, ToolPromptMessage): - message_text = f"{tool_prompt} {content}" - elif isinstance(message, SystemPromptMessage): - message_text = content if isinstance(content, str) else "" - else: - raise ValueError(f"Got unknown type {message}") - - return message_text - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeError: [TencentCloudSDKException], - } - - def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_tool_calls: - for response_tool_call in response_tool_calls: - response_function = response_tool_call.get("Function", {}) - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_function.get("Name", ""), arguments=response_function.get("Arguments", "") - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call.get("Id", 0), type="function", function=function - ) - tool_calls.append(tool_call) - - return tool_calls diff --git a/api/core/model_runtime/model_providers/hunyuan/text_embedding/__init__.py b/api/core/model_runtime/model_providers/hunyuan/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/hunyuan/text_embedding/hunyuan-text-embedding.yaml b/api/core/model_runtime/model_providers/hunyuan/text_embedding/hunyuan-text-embedding.yaml deleted file mode 100644 index ab014e4344de97..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/text_embedding/hunyuan-text-embedding.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: hunyuan-embedding -model_type: text-embedding -model_properties: - context_size: 1024 - max_chunks: 1 diff --git a/api/core/model_runtime/model_providers/hunyuan/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/hunyuan/text_embedding/text_embedding.py deleted file mode 100644 index 856cda90d35a22..00000000000000 --- a/api/core/model_runtime/model_providers/hunyuan/text_embedding/text_embedding.py +++ /dev/null @@ -1,169 +0,0 @@ -import json -import logging -import time -from typing import Optional - -from tencentcloud.common import credential # type: ignore -from tencentcloud.common.exception import TencentCloudSDKException # type: ignore -from tencentcloud.common.profile.client_profile import ClientProfile # type: ignore -from tencentcloud.common.profile.http_profile import HttpProfile # type: ignore -from tencentcloud.hunyuan.v20230901 import hunyuan_client, models # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - -logger = logging.getLogger(__name__) - - -class HunyuanTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for Hunyuan text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - - if model != "hunyuan-embedding": - raise ValueError("Invalid model name") - - client = self._setup_hunyuan_client(credentials) - - embeddings = [] - token_usage = 0 - - for input in texts: - request = models.GetEmbeddingRequest() - params = {"Input": input} - request.from_json_string(json.dumps(params)) - response = client.GetEmbedding(request) - usage = response.Usage.TotalTokens - - embeddings.extend([data.Embedding for data in response.Data]) - token_usage += usage - - result = TextEmbeddingResult( - model=model, - embeddings=embeddings, - usage=self._calc_response_usage(model=model, credentials=credentials, tokens=token_usage), - ) - - return result - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate credentials - """ - try: - client = self._setup_hunyuan_client(credentials) - - req = models.ChatCompletionsRequest() - params = { - "Model": model, - "Messages": [{"Role": "user", "Content": "hello"}], - "TopP": 1, - "Temperature": 0, - "Stream": False, - } - req.from_json_string(json.dumps(params)) - client.ChatCompletions(req) - except Exception as e: - raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") - - def _setup_hunyuan_client(self, credentials): - secret_id = credentials["secret_id"] - secret_key = credentials["secret_key"] - cred = credential.Credential(secret_id, secret_key) - httpProfile = HttpProfile() - httpProfile.endpoint = "hunyuan.tencentcloudapi.com" - clientProfile = ClientProfile() - clientProfile.httpProfile = httpProfile - client = hunyuan_client.HunyuanClient(cred, "", clientProfile) - return client - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeError: [TencentCloudSDKException], - } - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - # client = self._setup_hunyuan_client(credentials) - - num_tokens = 0 - for text in texts: - num_tokens += self._get_num_tokens_by_gpt2(text) - # use client.GetTokenCount to get num tokens - # request = models.GetTokenCountRequest() - # params = { - # "Prompt": text - # } - # request.from_json_string(json.dumps(params)) - # response = client.GetTokenCount(request) - # num_tokens += response.TokenCount - - return num_tokens diff --git a/api/core/model_runtime/model_providers/jina/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/jina/_assets/icon_l_en.svg deleted file mode 100644 index 6a241fc9ae32cf..00000000000000 --- a/api/core/model_runtime/model_providers/jina/_assets/icon_l_en.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/jina/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/jina/_assets/icon_s_en.svg deleted file mode 100644 index 2e1b00fa52e43c..00000000000000 --- a/api/core/model_runtime/model_providers/jina/_assets/icon_s_en.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - diff --git a/api/core/model_runtime/model_providers/jina/jina.py b/api/core/model_runtime/model_providers/jina/jina.py deleted file mode 100644 index 186a0a0fa7e6dc..00000000000000 --- a/api/core/model_runtime/model_providers/jina/jina.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class JinaProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING) - - # Use `jina-embeddings-v3` model for validate, - # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="jina-embeddings-v3", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/jina/jina.yaml b/api/core/model_runtime/model_providers/jina/jina.yaml deleted file mode 100644 index 970b22965b5d29..00000000000000 --- a/api/core/model_runtime/model_providers/jina/jina.yaml +++ /dev/null @@ -1,69 +0,0 @@ -provider: jina -label: - en_US: Jina AI -description: - en_US: Embedding and Rerank Model Supported -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#EFFDFD" -help: - title: - en_US: Get your API key from Jina AI - zh_Hans: 从 Jina AI 获取 API Key - url: - en_US: https://jina.ai/ -supported_model_types: - - text-embedding - - rerank -configurate_methods: - - predefined-model - - customizable-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: base_url - label: - zh_Hans: 服务器 URL - en_US: Base URL - type: text-input - required: true - placeholder: - zh_Hans: Base URL, e.g. https://api.jina.ai/v1 - en_US: Base URL, e.g. https://api.jina.ai/v1 - default: 'https://api.jina.ai/v1' - - variable: context_size - label: - zh_Hans: 上下文大小 - en_US: Context size - placeholder: - zh_Hans: 输入上下文大小 - en_US: Enter context size - required: false - type: text-input - default: '8192' diff --git a/api/core/model_runtime/model_providers/jina/rerank/__init__.py b/api/core/model_runtime/model_providers/jina/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/jina/rerank/_position.yaml b/api/core/model_runtime/model_providers/jina/rerank/_position.yaml deleted file mode 100644 index c9ddaad758a539..00000000000000 --- a/api/core/model_runtime/model_providers/jina/rerank/_position.yaml +++ /dev/null @@ -1,5 +0,0 @@ -- jina-reranker-v2-base-multilingual -- jina-reranker-v1-base-en -- jina-reranker-v1-turbo-en -- jina-colbert-v1-en -- jina-reranker-v1-tiny-en diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-colbert-v1-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-colbert-v1-en.yaml deleted file mode 100644 index 320370f2425521..00000000000000 --- a/api/core/model_runtime/model_providers/jina/rerank/jina-colbert-v1-en.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: jina-colbert-v1-en -model_type: rerank -model_properties: - context_size: 8192 diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-base-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-base-en.yaml deleted file mode 100644 index bd3f31fbd17f5f..00000000000000 --- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-base-en.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: jina-reranker-v1-base-en -model_type: rerank -model_properties: - context_size: 8192 diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-tiny-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-tiny-en.yaml deleted file mode 100644 index b81711195b3135..00000000000000 --- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-tiny-en.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: jina-reranker-v1-tiny-en -model_type: rerank -model_properties: - context_size: 8192 diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-turbo-en.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-turbo-en.yaml deleted file mode 100644 index d05f4bb4a2fbb7..00000000000000 --- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v1-turbo-en.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: jina-reranker-v1-turbo-en -model_type: rerank -model_properties: - context_size: 8192 diff --git a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v2-base-multilingual.yaml b/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v2-base-multilingual.yaml deleted file mode 100644 index e6af62107eaa08..00000000000000 --- a/api/core/model_runtime/model_providers/jina/rerank/jina-reranker-v2-base-multilingual.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: jina-reranker-v2-base-multilingual -model_type: rerank -model_properties: - context_size: 1024 diff --git a/api/core/model_runtime/model_providers/jina/rerank/rerank.py b/api/core/model_runtime/model_providers/jina/rerank/rerank.py deleted file mode 100644 index 22f882be6bdc4b..00000000000000 --- a/api/core/model_runtime/model_providers/jina/rerank/rerank.py +++ /dev/null @@ -1,134 +0,0 @@ -from typing import Optional - -import httpx - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class JinaRerankModel(RerankModel): - """ - Model class for Jina rerank model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n documents to return - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - base_url = credentials.get("base_url", "https://api.jina.ai/v1") - base_url = base_url.removesuffix("/") - - try: - response = httpx.post( - base_url + "/rerank", - json={"model": model, "query": query, "documents": docs, "top_n": top_n}, - headers={"Authorization": f"Bearer {credentials.get('api_key')}"}, - timeout=20, - ) - response.raise_for_status() - results = response.json() - - rerank_documents = [] - for result in results["results"]: - index = result["index"] - if "document" in result: - text = result["document"]["text"] - else: - # llama.cpp rerank maynot return original documents - text = docs[index] - - rerank_document = RerankDocument( - index=index, - text=text, - score=result["relevance_score"], - ) - - if score_threshold is None or result["relevance_score"] >= score_threshold: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - except httpx.HTTPStatusError as e: - raise InvokeServerUnavailableError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return { - InvokeConnectionError: [httpx.ConnectError], - InvokeServerUnavailableError: [httpx.RemoteProtocolError], - InvokeRateLimitError: [], - InvokeAuthorizationError: [httpx.HTTPStatusError], - InvokeBadRequestError: [httpx.RequestError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.RERANK, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000))}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml deleted file mode 100644 index c06bfd7ebeb6cd..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: jina-clip-v1 -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 2048 -pricing: - input: '0.001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-de.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-de.yaml deleted file mode 100644 index 09f7023acbc67d..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-de.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: jina-embeddings-v2-base-de -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 2048 -pricing: - input: '0.001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-en.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-en.yaml deleted file mode 100644 index a9b2cd4efb328a..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-en.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: jina-embeddings-v2-base-en -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 2048 -pricing: - input: '0.001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-zh.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-zh.yaml deleted file mode 100644 index 2a66b4729b5fa2..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-base-zh.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: jina-embeddings-v2-base-zh -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 2048 -pricing: - input: '0.001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-small-en.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-small-en.yaml deleted file mode 100644 index c92779d4997995..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v2-small-en.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: jina-embeddings-v2-small-en -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 2048 -pricing: - input: '0.001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v3.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v3.yaml deleted file mode 100644 index 4e5374dc9d733d..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/jina-embeddings-v3.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: jina-embeddings-v3 -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 2048 -pricing: - input: '0.001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina_tokenizer.py b/api/core/model_runtime/model_providers/jina/text_embedding/jina_tokenizer.py deleted file mode 100644 index 1fc0f8c028ba92..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/jina_tokenizer.py +++ /dev/null @@ -1,32 +0,0 @@ -from os.path import abspath, dirname, join -from threading import Lock - -from transformers import AutoTokenizer # type: ignore - - -class JinaTokenizer: - _tokenizer: AutoTokenizer | None = None - _lock = Lock() - - @classmethod - def _get_tokenizer(cls): - if cls._tokenizer is None: - with cls._lock: - if cls._tokenizer is None: - base_path = abspath(__file__) - gpt2_tokenizer_path = join(dirname(base_path), "tokenizer") - cls._tokenizer = AutoTokenizer.from_pretrained(gpt2_tokenizer_path) - return cls._tokenizer - - @classmethod - def _get_num_tokens_by_jina_base(cls, text: str) -> int: - """ - use jina tokenizer to get num tokens - """ - tokenizer = cls._get_tokenizer() - tokens = tokenizer.encode(text) - return len(tokens) - - @classmethod - def get_num_tokens(cls, text: str) -> int: - return cls._get_num_tokens_by_jina_base(text) diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py deleted file mode 100644 index f5be7a98289a3a..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py +++ /dev/null @@ -1,199 +0,0 @@ -import time -from json import JSONDecodeError, dumps -from typing import Optional - -from requests import post - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.jina.text_embedding.jina_tokenizer import JinaTokenizer - - -class JinaTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for Jina text embedding model. - """ - - api_base: str = "https://api.jina.ai/v1" - - def _to_payload(self, model: str, texts: list[str], credentials: dict, input_type: EmbeddingInputType) -> dict: - """ - Parse model credentials - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: parsed credentials - """ - - def transform_jina_input_text(model, text): - if model == "jina-clip-v1": - return {"text": text} - return text - - data = {"model": model, "input": [transform_jina_input_text(model, text) for text in texts]} - - # model specific parameters - if model == "jina-embeddings-v3": - # set `task` type according to input type for the best performance - data["task"] = "retrieval.query" if input_type == EmbeddingInputType.QUERY else "retrieval.passage" - - return data - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - api_key = credentials["api_key"] - if not api_key: - raise CredentialsValidateFailedError("api_key is required") - - base_url = credentials.get("base_url", self.api_base) - base_url = base_url.removesuffix("/") - - url = base_url + "/embeddings" - headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - - data = self._to_payload(model=model, texts=texts, credentials=credentials, input_type=input_type) - - try: - response = post(url, headers=headers, data=dumps(data)) - except Exception as e: - raise InvokeConnectionError(str(e)) - - if response.status_code != 200: - try: - resp = response.json() - msg = resp["detail"] - if response.status_code == 401: - raise InvokeAuthorizationError(msg) - elif response.status_code == 429: - raise InvokeRateLimitError(msg) - elif response.status_code == 500: - raise InvokeServerUnavailableError(msg) - else: - raise InvokeBadRequestError(msg) - except JSONDecodeError as e: - raise InvokeServerUnavailableError( - f"Failed to convert response to json: {e} with text: {response.text}" - ) - - try: - resp = response.json() - embeddings = resp["data"] - usage = resp["usage"] - except Exception as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"]) - - result = TextEmbeddingResult( - model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage - ) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - num_tokens = 0 - for text in texts: - # use JinaTokenizer to get num tokens - num_tokens += JinaTokenizer.get_num_tokens(text) - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except Exception as e: - raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError, InvokeBadRequestError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000))}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer.json b/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer.json deleted file mode 100644 index 65f2b2bc19a33a..00000000000000 --- a/api/core/model_runtime/model_providers/jina/text_embedding/tokenizer/tokenizer.json +++ /dev/null @@ -1,30678 +0,0 @@ -{ - "version": "1.0", - "truncation": null, - "padding": null, - "added_tokens": [ - { - "id": 0, - "content": "[PAD]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 100, - "content": "[UNK]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 101, - "content": "[CLS]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 102, - "content": "[SEP]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - }, - { - "id": 103, - "content": "[MASK]", - "single_word": false, - "lstrip": false, - "rstrip": false, - "normalized": false, - "special": true - } - ], - "normalizer": { - "type": "BertNormalizer", - "clean_text": true, - "handle_chinese_chars": true, - "strip_accents": null, - "lowercase": true - }, - "pre_tokenizer": { - "type": "BertPreTokenizer" - }, - "post_processor": { - "type": "TemplateProcessing", - "single": [ - { - "SpecialToken": { - "id": "[CLS]", - "type_id": 0 - } - }, - { - "Sequence": { - "id": "A", - "type_id": 0 - } - }, - { - "SpecialToken": { - "id": "[SEP]", - "type_id": 0 - } - } - ], - "pair": [ - { - "SpecialToken": { - "id": "[CLS]", - "type_id": 0 - } - }, - { - "Sequence": { - "id": "A", - "type_id": 0 - } - }, - { - "SpecialToken": { - "id": "[SEP]", - "type_id": 0 - } - }, - { - "Sequence": { - "id": "B", - "type_id": 1 - } - }, - { - "SpecialToken": 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a/api/core/model_runtime/model_providers/leptonai/leptonai.py b/api/core/model_runtime/model_providers/leptonai/leptonai.py deleted file mode 100644 index 34a55ff1924cf8..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/leptonai.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class LeptonAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="llama2-7b", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/leptonai/leptonai.yaml b/api/core/model_runtime/model_providers/leptonai/leptonai.yaml deleted file mode 100644 index a246ff5356f723..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/leptonai.yaml +++ /dev/null @@ -1,29 +0,0 @@ -provider: leptonai -label: - zh_Hans: Lepton AI - en_US: Lepton AI -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -background: "#F5F5F4" -help: - title: - en_US: Get your API Key from Lepton AI - zh_Hans: 从 Lepton AI 获取 API Key - url: - en_US: https://dashboard.lepton.ai -supported_model_types: - - llm -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/leptonai/llm/_position.yaml b/api/core/model_runtime/model_providers/leptonai/llm/_position.yaml deleted file mode 100644 index a85e8e65ba403e..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/_position.yaml +++ /dev/null @@ -1,6 +0,0 @@ -- gemma-7b -- mistral-7b -- mixtral-8x7b -- llama2-7b -- llama2-13b -- llama3-70b diff --git a/api/core/model_runtime/model_providers/leptonai/llm/gemma-7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/gemma-7b.yaml deleted file mode 100644 index 2d69067a23c092..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/gemma-7b.yaml +++ /dev/null @@ -1,20 +0,0 @@ -model: gemma-7b -label: - zh_Hans: gemma-7b - en_US: gemma-7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llama2-13b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/llama2-13b.yaml deleted file mode 100644 index 307f1ea88f1b10..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/llama2-13b.yaml +++ /dev/null @@ -1,20 +0,0 @@ -model: llama2-13b -label: - zh_Hans: llama2-13b - en_US: llama2-13b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llama2-7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/llama2-7b.yaml deleted file mode 100644 index bd471e59cd2d2d..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/llama2-7b.yaml +++ /dev/null @@ -1,20 +0,0 @@ -model: llama2-7b -label: - zh_Hans: llama2-7b - en_US: llama2-7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llama3-70b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/llama3-70b.yaml deleted file mode 100644 index 9c20eb6cdb15ca..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/llama3-70b.yaml +++ /dev/null @@ -1,20 +0,0 @@ -model: llama3-70b -label: - zh_Hans: llama3-70b - en_US: llama3-70b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 diff --git a/api/core/model_runtime/model_providers/leptonai/llm/llm.py b/api/core/model_runtime/model_providers/leptonai/llm/llm.py deleted file mode 100644 index 3d69417e45da72..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/llm.py +++ /dev/null @@ -1,40 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from core.model_runtime.entities.llm_entities import LLMResult -from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class LeptonAILargeLanguageModel(OAIAPICompatLargeLanguageModel): - MODEL_PREFIX_MAP = { - "llama2-7b": "llama2-7b", - "gemma-7b": "gemma-7b", - "mistral-7b": "mistral-7b", - "mixtral-8x7b": "mixtral-8x7b", - "llama3-70b": "llama3-70b", - "llama2-13b": "llama2-13b", - } - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials, model) - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials, model) - super().validate_credentials(model, credentials) - - @classmethod - def _add_custom_parameters(cls, credentials: dict, model: str) -> None: - credentials["mode"] = "chat" - credentials["endpoint_url"] = f"https://{cls.MODEL_PREFIX_MAP[model]}.lepton.run/api/v1" diff --git a/api/core/model_runtime/model_providers/leptonai/llm/mistral-7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/mistral-7b.yaml deleted file mode 100644 index f2b46ff91781c6..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/mistral-7b.yaml +++ /dev/null @@ -1,20 +0,0 @@ -model: mistral-7b -label: - zh_Hans: mistral-7b - en_US: mistral-7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 diff --git a/api/core/model_runtime/model_providers/leptonai/llm/mixtral-8x7b.yaml b/api/core/model_runtime/model_providers/leptonai/llm/mixtral-8x7b.yaml deleted file mode 100644 index de788ac2568494..00000000000000 --- a/api/core/model_runtime/model_providers/leptonai/llm/mixtral-8x7b.yaml +++ /dev/null @@ -1,20 +0,0 @@ -model: mixtral-8x7b -label: - zh_Hans: mixtral-8x7b - en_US: mixtral-8x7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 diff --git a/api/core/model_runtime/model_providers/localai/__init__.py b/api/core/model_runtime/model_providers/localai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/localai/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/localai/_assets/icon_l_en.svg deleted file mode 100644 index 251a37fdc7e124..00000000000000 --- a/api/core/model_runtime/model_providers/localai/_assets/icon_l_en.svg +++ /dev/null @@ -1,22 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/localai/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/localai/_assets/icon_s_en.svg deleted file mode 100644 index 9dc6e6276ea166..00000000000000 --- a/api/core/model_runtime/model_providers/localai/_assets/icon_s_en.svg +++ /dev/null @@ -1,15 +0,0 @@ - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/localai/llm/__init__.py b/api/core/model_runtime/model_providers/localai/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/localai/llm/llm.py b/api/core/model_runtime/model_providers/localai/llm/llm.py deleted file mode 100644 index 756c5571d404bf..00000000000000 --- a/api/core/model_runtime/model_providers/localai/llm/llm.py +++ /dev/null @@ -1,674 +0,0 @@ -from collections.abc import Generator -from typing import Optional, cast - -from httpx import Timeout -from openai import ( - APIConnectionError, - APITimeoutError, - AuthenticationError, - ConflictError, - InternalServerError, - NotFoundError, - OpenAI, - PermissionDeniedError, - RateLimitError, - Stream, - UnprocessableEntityError, -) -from openai.types.chat import ChatCompletion, ChatCompletionChunk -from openai.types.chat.chat_completion_message import FunctionCall -from openai.types.completion import Completion -from yarl import URL - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.utils import helper - - -class LocalAILanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - return self._generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - # tools is not supported yet - return self._num_tokens_from_messages(prompt_messages, tools=tools) - - def _num_tokens_from_messages(self, messages: list[PromptMessage], tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for baichuan model - LocalAI does not supports - """ - - def tokens(text: str): - """ - We could not determine which tokenizer to use, cause the model is customized. - So we use gpt2 tokenizer to calculate the num tokens for convenience. - """ - return self._get_num_tokens_by_gpt2(text) - - tokens_per_message = 3 - tokens_per_name = 1 - - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += tokens(t_key) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += tokens(f_key) - num_tokens += tokens(f_value) - else: - num_tokens += tokens(t_key) - num_tokens += tokens(t_value) - if key == "function_call": - for t_key, t_value in value.items(): - num_tokens += tokens(t_key) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += tokens(f_key) - num_tokens += tokens(f_value) - else: - num_tokens += tokens(t_key) - num_tokens += tokens(t_value) - else: - num_tokens += tokens(str(value)) - - if key == "name": - num_tokens += tokens_per_name - num_tokens += 3 - - if tools: - num_tokens += self._num_tokens_for_tools(tools) - - return num_tokens - - def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for tool calling - - :param encoding: encoding - :param tools: tools for tool calling - :return: number of tokens - """ - - def tokens(text: str): - return self._get_num_tokens_by_gpt2(text) - - num_tokens = 0 - for tool in tools: - # calculate num tokens for function object - num_tokens += tokens("name") - num_tokens += tokens(tool.name) - num_tokens += tokens("description") - num_tokens += tokens(tool.description) - parameters = tool.parameters - num_tokens += tokens("parameters") - num_tokens += tokens("type") - num_tokens += tokens(parameters.get("type")) - if "properties" in parameters: - num_tokens += tokens("properties") - for key, value in parameters.get("properties").items(): - num_tokens += tokens(key) - for field_key, field_value in value.items(): - num_tokens += tokens(field_key) - if field_key == "enum": - for enum_field in field_value: - num_tokens += 3 - num_tokens += tokens(enum_field) - else: - num_tokens += tokens(field_key) - num_tokens += tokens(str(field_value)) - if "required" in parameters: - num_tokens += tokens("required") - for required_field in parameters["required"]: - num_tokens += 3 - num_tokens += tokens(required_field) - - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - prompt_messages=[UserPromptMessage(content="ping")], - model_parameters={ - "max_tokens": 10, - }, - stop=[], - stream=False, - ) - except Exception as ex: - raise CredentialsValidateFailedError(f"Invalid credentials {str(ex)}") - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - completion_model = None - if credentials["completion_type"] == "chat_completion": - completion_model = LLMMode.CHAT.value - elif credentials["completion_type"] == "completion": - completion_model = LLMMode.COMPLETION.value - else: - raise ValueError(f"Unknown completion type {credentials['completion_type']}") - - rules = [ - ParameterRule( - name="temperature", - type=ParameterType.FLOAT, - use_template="temperature", - label=I18nObject(zh_Hans="温度", en_US="Temperature"), - ), - ParameterRule( - name="top_p", - type=ParameterType.FLOAT, - use_template="top_p", - label=I18nObject(zh_Hans="Top P", en_US="Top P"), - ), - ParameterRule( - name="max_tokens", - type=ParameterType.INT, - use_template="max_tokens", - min=1, - max=2048, - default=512, - label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"), - ), - ] - - model_properties = ( - { - ModelPropertyKey.MODE: completion_model, - } - if completion_model - else {} - ) - - model_properties[ModelPropertyKey.CONTEXT_SIZE] = int(credentials.get("context_size", "2048")) - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.LLM, - model_properties=model_properties, - parameter_rules=rules, - ) - - return entity - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - kwargs = self._to_client_kwargs(credentials) - # init model client - client = OpenAI(**kwargs) - - model_name = model - completion_type = credentials["completion_type"] - - extra_model_kwargs = { - "timeout": 60, - } - if stop: - extra_model_kwargs["stop"] = stop - - if user: - extra_model_kwargs["user"] = user - - if tools and len(tools) > 0: - extra_model_kwargs["functions"] = [helper.dump_model(tool) for tool in tools] - - if completion_type == "chat_completion": - result = client.chat.completions.create( - messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages], - model=model_name, - stream=stream, - **model_parameters, - **extra_model_kwargs, - ) - elif completion_type == "completion": - result = client.completions.create( - prompt=self._convert_prompt_message_to_completion_prompts(prompt_messages), - model=model, - stream=stream, - **model_parameters, - **extra_model_kwargs, - ) - else: - raise ValueError(f"Unknown completion type {completion_type}") - - if stream: - if completion_type == "completion": - return self._handle_completion_generate_stream_response( - model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages - ) - return self._handle_chat_generate_stream_response( - model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages - ) - - if completion_type == "completion": - return self._handle_completion_generate_response( - model=model, credentials=credentials, response=result, prompt_messages=prompt_messages - ) - return self._handle_chat_generate_response( - model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages - ) - - def _to_client_kwargs(self, credentials: dict) -> dict: - """ - Convert invoke kwargs to client kwargs - - :param credentials: credentials dict - :return: client kwargs - """ - if not credentials["server_url"].endswith("/"): - credentials["server_url"] += "/" - - client_kwargs = { - "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0), - "api_key": "1", - "base_url": str(URL(credentials["server_url"]) / "v1"), - } - - return client_kwargs - - def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict for OpenAI Compatibility API - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - raise ValueError("User message content must be str") - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls and len(message.tool_calls) > 0: - message_dict["function_call"] = { - "name": message.tool_calls[0].function.name, - "arguments": message.tool_calls[0].function.arguments, - } - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - elif isinstance(message, ToolPromptMessage): - # copy from core/model_runtime/model_providers/anthropic/llm/llm.py - message = cast(ToolPromptMessage, message) - message_dict = { - "role": "user", - "content": [{"type": "tool_result", "tool_use_id": message.tool_call_id, "content": message.content}], - } - else: - raise ValueError(f"Unknown message type {type(message)}") - - return message_dict - - def _convert_prompt_message_to_completion_prompts(self, messages: list[PromptMessage]) -> str: - """ - Convert PromptMessage to completion prompts - """ - prompts = "" - for message in messages: - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - prompts += f"{message.content}\n" - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - prompts += f"{message.content}\n" - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - prompts += f"{message.content}\n" - else: - raise ValueError(f"Unknown message type {type(message)}") - - return prompts - - def _handle_completion_generate_response( - self, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Completion, - ) -> LLMResult: - """ - Handle llm chat response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: llm response - """ - if len(response.choices) == 0: - raise InvokeServerUnavailableError("Empty response") - - assistant_message = response.choices[0].text - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=assistant_message, tool_calls=[]) - - prompt_tokens = self._get_num_tokens_by_gpt2( - self._convert_prompt_message_to_completion_prompts(prompt_messages) - ) - completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=[]) - - usage = self._calc_response_usage( - model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens - ) - - response = LLMResult( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=response.system_fingerprint, - usage=usage, - message=assistant_prompt_message, - ) - - return response - - def _handle_chat_generate_response( - self, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: ChatCompletion, - tools: list[PromptMessageTool], - ) -> LLMResult: - """ - Handle llm chat response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: llm response - """ - if len(response.choices) == 0: - raise InvokeServerUnavailableError("Empty response") - - assistant_message = response.choices[0].message - - # convert function call to tool call - function_calls = assistant_message.function_call - tool_calls = self._extract_response_tool_calls([function_calls] if function_calls else []) - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls) - - prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) - completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools) - - usage = self._calc_response_usage( - model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens - ) - - response = LLMResult( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=response.system_fingerprint, - usage=usage, - message=assistant_prompt_message, - ) - - return response - - def _handle_completion_generate_stream_response( - self, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Stream[Completion], - tools: list[PromptMessageTool], - ) -> Generator: - full_response = "" - - for chunk in response: - if len(chunk.choices) == 0: - continue - - delta = chunk.choices[0] - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=delta.text or "", tool_calls=[]) - - if delta.finish_reason is not None: - # temp_assistant_prompt_message is used to calculate usage - temp_assistant_prompt_message = AssistantPromptMessage(content=full_response, tool_calls=[]) - - prompt_tokens = self._get_num_tokens_by_gpt2( - self._convert_prompt_message_to_completion_prompts(prompt_messages) - ) - - completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[]) - - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=prompt_tokens, - completion_tokens=completion_tokens, - ) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - finish_reason=delta.finish_reason, - usage=usage, - ), - ) - else: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=0, - message=assistant_prompt_message, - ), - ) - - full_response += delta.text - - def _handle_chat_generate_stream_response( - self, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Stream[ChatCompletionChunk], - tools: list[PromptMessageTool], - ) -> Generator: - full_response = "" - - for chunk in response: - if len(chunk.choices) == 0: - continue - - delta = chunk.choices[0] - - if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""): - continue - - # check if there is a tool call in the response - function_calls = None - if delta.delta.function_call: - function_calls = [delta.delta.function_call] - - assistant_message_tool_calls = self._extract_response_tool_calls(function_calls or []) - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=delta.delta.content or "", tool_calls=assistant_message_tool_calls - ) - - if delta.finish_reason is not None: - # temp_assistant_prompt_message is used to calculate usage - temp_assistant_prompt_message = AssistantPromptMessage( - content=full_response, tool_calls=assistant_message_tool_calls - ) - - prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) - completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[]) - - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=prompt_tokens, - completion_tokens=completion_tokens, - ) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - finish_reason=delta.finish_reason, - usage=usage, - ), - ) - else: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - ), - ) - - full_response += delta.delta.content - - def _extract_response_tool_calls( - self, response_function_calls: list[FunctionCall] - ) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_function_calls: - for response_tool_call in response_function_calls: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call.name, arguments=response_tool_call.arguments - ) - - tool_call = AssistantPromptMessage.ToolCall(id=0, type="function", function=function) - tool_calls.append(tool_call) - - return tool_calls - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [ - APIConnectionError, - APITimeoutError, - ], - InvokeServerUnavailableError: [ - InternalServerError, - ConflictError, - NotFoundError, - UnprocessableEntityError, - PermissionDeniedError, - ], - InvokeRateLimitError: [RateLimitError], - InvokeAuthorizationError: [AuthenticationError], - InvokeBadRequestError: [ValueError], - } diff --git a/api/core/model_runtime/model_providers/localai/localai.py b/api/core/model_runtime/model_providers/localai/localai.py deleted file mode 100644 index 4ff898052b380d..00000000000000 --- a/api/core/model_runtime/model_providers/localai/localai.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class LocalAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/localai/localai.yaml b/api/core/model_runtime/model_providers/localai/localai.yaml deleted file mode 100644 index 864dd7a30c3a6f..00000000000000 --- a/api/core/model_runtime/model_providers/localai/localai.yaml +++ /dev/null @@ -1,72 +0,0 @@ -provider: localai -label: - en_US: LocalAI -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#F3F4F6" -help: - title: - en_US: How to deploy LocalAI - zh_Hans: 如何部署 LocalAI - url: - en_US: https://github.com/go-skynet/LocalAI -supported_model_types: - - llm - - text-embedding - - rerank - - speech2text -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: completion_type - show_on: - - variable: __model_type - value: llm - label: - en_US: Completion type - type: select - required: false - default: chat_completion - placeholder: - zh_Hans: 选择对话类型 - en_US: Select completion type - options: - - value: completion - label: - en_US: Completion - zh_Hans: 补全 - - value: chat_completion - label: - en_US: ChatCompletion - zh_Hans: 对话 - - variable: server_url - label: - zh_Hans: 服务器URL - en_US: Server url - type: text-input - required: true - placeholder: - zh_Hans: 在此输入LocalAI的服务器地址，如 http://192.168.1.100:8080 - en_US: Enter the url of your LocalAI, e.g. http://192.168.1.100:8080 - - variable: context_size - show_on: - - variable: __model_type - value: llm - label: - zh_Hans: 上下文大小 - en_US: Context size - placeholder: - zh_Hans: 输入上下文大小 - en_US: Enter context size - required: false - type: text-input diff --git a/api/core/model_runtime/model_providers/localai/rerank/__init__.py b/api/core/model_runtime/model_providers/localai/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/localai/rerank/rerank.py b/api/core/model_runtime/model_providers/localai/rerank/rerank.py deleted file mode 100644 index 075b44658dcc33..00000000000000 --- a/api/core/model_runtime/model_providers/localai/rerank/rerank.py +++ /dev/null @@ -1,142 +0,0 @@ -from json import dumps -from typing import Optional - -import httpx -from requests import post -from yarl import URL - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class LocalaiRerankModel(RerankModel): - """ - LocalAI rerank model API is compatible with Jina rerank model API. So just copy the JinaRerankModel class code here. - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n documents to return - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - server_url = credentials["server_url"] - model_name = model - - if not server_url: - raise CredentialsValidateFailedError("server_url is required") - if not model_name: - raise CredentialsValidateFailedError("model_name is required") - - url = server_url - headers = {"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"} - - data = {"model": model_name, "query": query, "documents": docs, "top_n": top_n} - - try: - response = post(str(URL(url) / "rerank"), headers=headers, data=dumps(data), timeout=10) - response.raise_for_status() - results = response.json() - - rerank_documents = [] - for result in results["results"]: - index = result["index"] - if "document" in result: - text = result["document"]["text"] - else: - # llama.cpp rerank maynot return original documents - text = docs[index] - - rerank_document = RerankDocument( - index=index, - text=text, - score=result["relevance_score"], - ) - - if score_threshold is None or result["relevance_score"] >= score_threshold: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - except httpx.HTTPStatusError as e: - raise InvokeServerUnavailableError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return { - InvokeConnectionError: [httpx.ConnectError], - InvokeServerUnavailableError: [httpx.RemoteProtocolError], - InvokeRateLimitError: [], - InvokeAuthorizationError: [httpx.HTTPStatusError], - InvokeBadRequestError: [httpx.RequestError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.RERANK, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/localai/speech2text/__init__.py b/api/core/model_runtime/model_providers/localai/speech2text/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/localai/speech2text/speech2text.py b/api/core/model_runtime/model_providers/localai/speech2text/speech2text.py deleted file mode 100644 index 260a35d9d4f13c..00000000000000 --- a/api/core/model_runtime/model_providers/localai/speech2text/speech2text.py +++ /dev/null @@ -1,89 +0,0 @@ -from typing import IO, Optional - -from requests import Request, Session -from yarl import URL - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel - - -class LocalAISpeech2text(Speech2TextModel): - """ - Model class for Local AI Text to speech model. - """ - - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - - url = str(URL(credentials["server_url"]) / "v1/audio/transcriptions") - data = {"model": model} - files = {"file": file} - - session = Session() - request = Request("POST", url, data=data, files=files) - prepared_request = session.prepare_request(request) - response = session.send(prepared_request) - - if "error" in response.json(): - raise InvokeServerUnavailableError("Empty response") - - return response.json()["text"] - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - audio_file_path = self._get_demo_file_path() - - with open(audio_file_path, "rb") as audio_file: - self._invoke(model, credentials, audio_file) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.SPEECH2TEXT, - model_properties={}, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/localai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/localai/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/localai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/localai/text_embedding/text_embedding.py deleted file mode 100644 index 0111c3362a5929..00000000000000 --- a/api/core/model_runtime/model_providers/localai/text_embedding/text_embedding.py +++ /dev/null @@ -1,189 +0,0 @@ -import time -from json import JSONDecodeError, dumps -from typing import Optional - -from requests import post -from yarl import URL - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - - -class LocalAITextEmbeddingModel(TextEmbeddingModel): - """ - Model class for LocalAI text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - if len(texts) != 1: - raise InvokeBadRequestError("Only one text is supported") - - server_url = credentials["server_url"] - model_name = model - if not server_url: - raise CredentialsValidateFailedError("server_url is required") - if not model_name: - raise CredentialsValidateFailedError("model_name is required") - - url = server_url - headers = {"Authorization": "Bearer 123", "Content-Type": "application/json"} - - data = {"model": model_name, "input": texts[0]} - - try: - response = post(str(URL(url) / "embeddings"), headers=headers, data=dumps(data), timeout=10) - except Exception as e: - raise InvokeConnectionError(str(e)) - - if response.status_code != 200: - try: - resp = response.json() - code = resp["error"]["code"] - msg = resp["error"]["message"] - if code == 500: - raise InvokeServerUnavailableError(msg) - - if response.status_code == 401: - raise InvokeAuthorizationError(msg) - elif response.status_code == 429: - raise InvokeRateLimitError(msg) - elif response.status_code == 500: - raise InvokeServerUnavailableError(msg) - else: - raise InvokeError(msg) - except JSONDecodeError as e: - raise InvokeServerUnavailableError( - f"Failed to convert response to json: {e} with text: {response.text}" - ) - - try: - resp = response.json() - embeddings = resp["data"] - usage = resp["usage"] - except Exception as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"]) - - result = TextEmbeddingResult( - model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage - ) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - num_tokens = 0 - for text in texts: - # use GPT2Tokenizer to get num tokens - num_tokens += self._get_num_tokens_by_gpt2(text) - return num_tokens - - def _get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - Get customizable model schema - - :param model: model name - :param credentials: model credentials - :return: model schema - """ - return AIModelEntity( - model=model, - label=I18nObject(zh_Hans=model, en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - features=[], - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "512")), - ModelPropertyKey.MAX_CHUNKS: 1, - }, - parameter_rules=[], - ) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except InvokeAuthorizationError: - raise CredentialsValidateFailedError("Invalid credentials") - except InvokeConnectionError as e: - raise CredentialsValidateFailedError(f"Invalid credentials: {e}") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/minimax/__init__.py b/api/core/model_runtime/model_providers/minimax/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/minimax/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/minimax/_assets/icon_l_en.png deleted file mode 100644 index 5066b525f99c3f36d2f96b3b905aaead8cb263ef..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 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- zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.015' - output: '0.015' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml deleted file mode 100644 index 6d29be0d0e8708..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: abab5.5-chat -label: - en_US: Abab5.5-Chat -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.9 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.95 - - name: max_tokens - use_template: max_tokens - required: true - default: 6144 - min: 1 - max: 16384 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: plugin_web_search - required: false - default: false - type: boolean - label: - en_US: Enable Web Search - zh_Hans: 开启网页搜索 -pricing: - input: '0.015' - output: '0.015' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml deleted file mode 100644 index aa42bb57395d68..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml +++ /dev/null @@ -1,44 +0,0 @@ -model: abab5.5s-chat -label: - en_US: Abab5.5s-Chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.9 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.95 - - name: max_tokens - use_template: max_tokens - required: true - default: 3072 - min: 1 - max: 8192 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.005' - output: '0.005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml deleted file mode 100644 index 9188b6b53fa08c..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: abab6-chat -label: - en_US: Abab6-Chat -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.1 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.9 - - name: max_tokens - use_template: max_tokens - required: true - default: 2048 - min: 1 - max: 32768 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.1' - output: '0.1' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml deleted file mode 100644 index 5d717d5f8ccd9d..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: abab6.5-chat -label: - en_US: Abab6.5-Chat -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.1 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.95 - - name: max_tokens - use_template: max_tokens - required: true - default: 2048 - min: 1 - max: 8192 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.03' - output: '0.03' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml deleted file mode 100644 index 4631fe67e44cb7..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: abab6.5s-chat -label: - en_US: Abab6.5s-Chat -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 245760 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.1 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.95 - - name: max_tokens - use_template: max_tokens - required: true - default: 2048 - min: 1 - max: 245760 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.01' - output: '0.01' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml deleted file mode 100644 index cc8a3aa0ecdb70..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml +++ /dev/null @@ -1,44 +0,0 @@ -model: abab6.5t-chat -label: - en_US: Abab6.5t-Chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.9 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.95 - - name: max_tokens - use_template: max_tokens - required: true - default: 3072 - min: 1 - max: 8192 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.005' - output: '0.005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml deleted file mode 100644 index bb9899d580d5d8..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: abab7-chat-preview -label: - en_US: Abab7-chat-preview -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 245760 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.1 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.95 - - name: max_tokens - use_template: max_tokens - required: true - default: 2048 - min: 1 - max: 245760 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.1' - output: '0.1' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/chat_completion.py b/api/core/model_runtime/model_providers/minimax/llm/chat_completion.py deleted file mode 100644 index 357631b2dba0b9..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/chat_completion.py +++ /dev/null @@ -1,166 +0,0 @@ -from collections.abc import Generator -from json import dumps, loads -from typing import Any, Union - -from requests import Response, post - -from core.model_runtime.model_providers.minimax.llm.errors import ( - BadRequestError, - InsufficientAccountBalanceError, - InternalServerError, - InvalidAPIKeyError, - InvalidAuthenticationError, - RateLimitReachedError, -) -from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage - - -class MinimaxChatCompletion: - """ - Minimax Chat Completion API - """ - - def generate( - self, - model: str, - api_key: str, - group_id: str, - prompt_messages: list[MinimaxMessage], - model_parameters: dict, - tools: list[dict[str, Any]], - stop: list[str] | None, - stream: bool, - user: str, - ) -> Union[MinimaxMessage, Generator[MinimaxMessage, None, None]]: - """ - generate chat completion - """ - if not api_key or not group_id: - raise InvalidAPIKeyError("Invalid API key or group ID") - - url = f"https://api.minimax.chat/v1/text/chatcompletion?GroupId={group_id}" - - extra_kwargs: dict[str, Any] = {} - - if "max_tokens" in model_parameters and type(model_parameters["max_tokens"]) == int: - extra_kwargs["tokens_to_generate"] = model_parameters["max_tokens"] - - if "temperature" in model_parameters and type(model_parameters["temperature"]) == float: - extra_kwargs["temperature"] = model_parameters["temperature"] - - if "top_p" in model_parameters and type(model_parameters["top_p"]) == float: - extra_kwargs["top_p"] = model_parameters["top_p"] - - prompt = "你是一个什么都懂的专家" - - role_meta = {"user_name": "我", "bot_name": "专家"} - - # check if there is a system message - if len(prompt_messages) == 0: - raise BadRequestError("At least one message is required") - - if prompt_messages[0].role == MinimaxMessage.Role.SYSTEM.value: - if prompt_messages[0].content: - prompt = prompt_messages[0].content - prompt_messages = prompt_messages[1:] - - # check if there is a user message - if len(prompt_messages) == 0: - raise BadRequestError("At least one user message is required") - - messages = [ - { - "sender_type": message.role, - "text": message.content, - } - for message in prompt_messages - ] - - headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - - body = { - "model": model, - "messages": messages, - "prompt": prompt, - "role_meta": role_meta, - "stream": stream, - **extra_kwargs, - } - - try: - response = post(url=url, data=dumps(body), headers=headers, stream=stream, timeout=(10, 300)) - except Exception as e: - raise InternalServerError(e) - - if response.status_code != 200: - raise InternalServerError(response.text) - - if stream: - return self._handle_stream_chat_generate_response(response) - return self._handle_chat_generate_response(response) - - def _handle_error(self, code: int, msg: str): - if code in {1000, 1001, 1013, 1027}: - raise InternalServerError(msg) - elif code in {1002, 1039}: - raise RateLimitReachedError(msg) - elif code == 1004: - raise InvalidAuthenticationError(msg) - elif code == 1008: - raise InsufficientAccountBalanceError(msg) - elif code == 2013: - raise BadRequestError(msg) - else: - raise InternalServerError(msg) - - def _handle_chat_generate_response(self, response: Response) -> MinimaxMessage: - """ - handle chat generate response - """ - response_data = response.json() - if "base_resp" in response_data and response_data["base_resp"]["status_code"] != 0: - code = response_data["base_resp"]["status_code"] - msg = response_data["base_resp"]["status_msg"] - self._handle_error(code, msg) - - message = MinimaxMessage(content=response_data["reply"], role=MinimaxMessage.Role.ASSISTANT.value) - message.usage = { - "prompt_tokens": 0, - "completion_tokens": response_data["usage"]["total_tokens"], - "total_tokens": response_data["usage"]["total_tokens"], - } - message.stop_reason = response_data["choices"][0]["finish_reason"] - return message - - def _handle_stream_chat_generate_response(self, response: Response) -> Generator[MinimaxMessage, None, None]: - """ - handle stream chat generate response - """ - for line in response.iter_lines(): - if not line: - continue - line_str: str = line.decode("utf-8") - if line_str.startswith("data: "): - line_str = line_str[6:].strip() - data = loads(line_str) - - if "base_resp" in data and data["base_resp"]["status_code"] != 0: - code = data["base_resp"]["status_code"] - msg = data["base_resp"]["status_msg"] - self._handle_error(code, msg) - - if data["reply"]: - total_tokens = data["usage"]["total_tokens"] - message = MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content="") - message.usage = {"prompt_tokens": 0, "completion_tokens": total_tokens, "total_tokens": total_tokens} - message.stop_reason = data["choices"][0]["finish_reason"] - yield message - return - - choices = data.get("choices", []) - if len(choices) == 0: - continue - - for choice in choices: - message_choice = choice["delta"] - yield MinimaxMessage(content=message_choice, role=MinimaxMessage.Role.ASSISTANT.value) diff --git a/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py b/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py deleted file mode 100644 index 284b61829f9729..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py +++ /dev/null @@ -1,191 +0,0 @@ -from collections.abc import Generator -from json import dumps, loads -from typing import Any, Union - -from requests import Response, post - -from core.model_runtime.model_providers.minimax.llm.errors import ( - BadRequestError, - InsufficientAccountBalanceError, - InternalServerError, - InvalidAPIKeyError, - InvalidAuthenticationError, - RateLimitReachedError, -) -from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage - - -class MinimaxChatCompletionPro: - """ - Minimax Chat Completion Pro API, supports function calling - however, we do not have enough time and energy to implement it, but the parameters are reserved - """ - - def generate( - self, - model: str, - api_key: str, - group_id: str, - prompt_messages: list[MinimaxMessage], - model_parameters: dict, - tools: list[dict[str, Any]], - stop: list[str] | None, - stream: bool, - user: str, - ) -> Union[MinimaxMessage, Generator[MinimaxMessage, None, None]]: - """ - generate chat completion - """ - if not api_key or not group_id: - raise InvalidAPIKeyError("Invalid API key or group ID") - - url = f"https://api.minimax.chat/v1/text/chatcompletion_pro?GroupId={group_id}" - - extra_kwargs: dict[str, Any] = {} - - if "max_tokens" in model_parameters and type(model_parameters["max_tokens"]) == int: - extra_kwargs["tokens_to_generate"] = model_parameters["max_tokens"] - - if "temperature" in model_parameters and type(model_parameters["temperature"]) == float: - extra_kwargs["temperature"] = model_parameters["temperature"] - - if "top_p" in model_parameters and type(model_parameters["top_p"]) == float: - extra_kwargs["top_p"] = model_parameters["top_p"] - - if "mask_sensitive_info" in model_parameters and type(model_parameters["mask_sensitive_info"]) == bool: - extra_kwargs["mask_sensitive_info"] = model_parameters["mask_sensitive_info"] - - if model_parameters.get("plugin_web_search"): - extra_kwargs["plugins"] = ["plugin_web_search"] - - bot_setting = {"bot_name": "专家", "content": "你是一个什么都懂的专家"} - - reply_constraints = {"sender_type": "BOT", "sender_name": "专家"} - - # check if there is a system message - if len(prompt_messages) == 0: - raise BadRequestError("At least one message is required") - - if prompt_messages[0].role == MinimaxMessage.Role.SYSTEM.value: - if prompt_messages[0].content: - bot_setting["content"] = prompt_messages[0].content - prompt_messages = prompt_messages[1:] - - # check if there is a user message - if len(prompt_messages) == 0: - raise BadRequestError("At least one user message is required") - - messages = [message.to_dict() for message in prompt_messages] - - headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - - body = { - "model": model, - "messages": messages, - "bot_setting": [bot_setting], - "reply_constraints": reply_constraints, - "stream": stream, - **extra_kwargs, - } - - if tools: - body["functions"] = tools - body["function_call"] = {"type": "auto"} - - try: - response = post(url=url, data=dumps(body), headers=headers, stream=stream, timeout=(10, 300)) - except Exception as e: - raise InternalServerError(e) - - if response.status_code != 200: - raise InternalServerError(response.text) - - if stream: - return self._handle_stream_chat_generate_response(response) - return self._handle_chat_generate_response(response) - - def _handle_error(self, code: int, msg: str): - if code in {1000, 1001, 1013, 1027}: - raise InternalServerError(msg) - elif code in {1002, 1039}: - raise RateLimitReachedError(msg) - elif code == 1004: - raise InvalidAuthenticationError(msg) - elif code == 1008: - raise InsufficientAccountBalanceError(msg) - elif code == 2013: - raise BadRequestError(msg) - else: - raise InternalServerError(msg) - - def _handle_chat_generate_response(self, response: Response) -> MinimaxMessage: - """ - handle chat generate response - """ - response_data = response.json() - if "base_resp" in response_data and response_data["base_resp"]["status_code"] != 0: - code = response_data["base_resp"]["status_code"] - msg = response_data["base_resp"]["status_msg"] - self._handle_error(code, msg) - - message = MinimaxMessage(content=response_data["reply"], role=MinimaxMessage.Role.ASSISTANT.value) - message.usage = { - "prompt_tokens": 0, - "completion_tokens": response_data["usage"]["total_tokens"], - "total_tokens": response_data["usage"]["total_tokens"], - } - message.stop_reason = response_data["choices"][0]["finish_reason"] - return message - - def _handle_stream_chat_generate_response(self, response: Response) -> Generator[MinimaxMessage, None, None]: - """ - handle stream chat generate response - """ - for line in response.iter_lines(): - if not line: - continue - line_str: str = line.decode("utf-8") - if line_str.startswith("data: "): - line_str = line_str[6:].strip() - data = loads(line_str) - - if "base_resp" in data and data["base_resp"]["status_code"] != 0: - code = data["base_resp"]["status_code"] - msg = data["base_resp"]["status_msg"] - self._handle_error(code, msg) - - # final chunk - if data["reply"] or data.get("usage"): - total_tokens = data["usage"]["total_tokens"] - minimax_message = MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content="") - minimax_message.usage = { - "prompt_tokens": 0, - "completion_tokens": total_tokens, - "total_tokens": total_tokens, - } - minimax_message.stop_reason = data["choices"][0]["finish_reason"] - - choices = data.get("choices", []) - if len(choices) > 0: - for choice in choices: - message = choice["messages"][0] - # append function_call message - if "function_call" in message: - function_call_message = MinimaxMessage(content="", role=MinimaxMessage.Role.ASSISTANT.value) - function_call_message.function_call = message["function_call"] - yield function_call_message - - yield minimax_message - return - - # partial chunk - choices = data.get("choices", []) - if len(choices) == 0: - continue - - for choice in choices: - message = choice["messages"][0] - # append text message - if "text" in message: - minimax_message = MinimaxMessage(content=message["text"], role=MinimaxMessage.Role.ASSISTANT.value) - yield minimax_message diff --git a/api/core/model_runtime/model_providers/minimax/llm/errors.py b/api/core/model_runtime/model_providers/minimax/llm/errors.py deleted file mode 100644 index 309b5cf413bd54..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/errors.py +++ /dev/null @@ -1,22 +0,0 @@ -class InvalidAuthenticationError(Exception): - pass - - -class InvalidAPIKeyError(Exception): - pass - - -class RateLimitReachedError(Exception): - pass - - -class InsufficientAccountBalanceError(Exception): - pass - - -class InternalServerError(Exception): - pass - - -class BadRequestError(Exception): - pass diff --git a/api/core/model_runtime/model_providers/minimax/llm/llm.py b/api/core/model_runtime/model_providers/minimax/llm/llm.py deleted file mode 100644 index 6ca32d8b2447a6..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/llm.py +++ /dev/null @@ -1,274 +0,0 @@ -from collections.abc import Generator - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.minimax.llm.chat_completion import MinimaxChatCompletion -from core.model_runtime.model_providers.minimax.llm.chat_completion_pro import MinimaxChatCompletionPro -from core.model_runtime.model_providers.minimax.llm.errors import ( - BadRequestError, - InsufficientAccountBalanceError, - InternalServerError, - InvalidAPIKeyError, - InvalidAuthenticationError, - RateLimitReachedError, -) -from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage - - -class MinimaxLargeLanguageModel(LargeLanguageModel): - model_apis = { - "minimax-text-01": MinimaxChatCompletionPro, - "abab7-chat-preview": MinimaxChatCompletionPro, - "abab6.5t-chat": MinimaxChatCompletionPro, - "abab6.5s-chat": MinimaxChatCompletionPro, - "abab6.5-chat": MinimaxChatCompletionPro, - "abab6-chat": MinimaxChatCompletionPro, - "abab5.5s-chat": MinimaxChatCompletionPro, - "abab5.5-chat": MinimaxChatCompletionPro, - "abab5-chat": MinimaxChatCompletion, - } - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate credentials for Baichuan model - """ - if model not in self.model_apis: - raise CredentialsValidateFailedError(f"Invalid model: {model}") - - if not credentials.get("minimax_api_key"): - raise CredentialsValidateFailedError("Invalid API key") - - if not credentials.get("minimax_group_id"): - raise CredentialsValidateFailedError("Invalid group ID") - - # ping - instance = MinimaxChatCompletionPro() - try: - instance.generate( - model=model, - api_key=credentials["minimax_api_key"], - group_id=credentials["minimax_group_id"], - prompt_messages=[MinimaxMessage(content="ping", role="USER")], - model_parameters={}, - tools=[], - stop=[], - stream=False, - user="", - ) - except (InvalidAuthenticationError, InsufficientAccountBalanceError) as e: - raise CredentialsValidateFailedError(f"Invalid API key: {e}") - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - return self._num_tokens_from_messages(prompt_messages, tools) - - def _num_tokens_from_messages(self, messages: list[PromptMessage], tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for minimax model - - not like ChatGLM, Minimax has a special prompt structure, we could not find a proper way - to calculate the num tokens, so we use str() to convert the prompt to string - - Minimax does not provide their own tokenizer of adab5.5 and abab5 model - therefore, we use gpt2 tokenizer instead - """ - messages_dict = [self._convert_prompt_message_to_minimax_message(m).to_dict() for m in messages] - return self._get_num_tokens_by_gpt2(str(messages_dict)) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - """ - use MinimaxChatCompletionPro as the type of client, anyway, MinimaxChatCompletion has the same interface - """ - client: MinimaxChatCompletionPro = self.model_apis[model]() - - if tools: - tools = [ - {"name": tool.name, "description": tool.description, "parameters": tool.parameters} for tool in tools - ] - - response = client.generate( - model=model, - api_key=credentials["minimax_api_key"], - group_id=credentials["minimax_group_id"], - prompt_messages=[self._convert_prompt_message_to_minimax_message(message) for message in prompt_messages], - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - if stream: - return self._handle_chat_generate_stream_response( - model=model, prompt_messages=prompt_messages, credentials=credentials, response=response - ) - return self._handle_chat_generate_response( - model=model, prompt_messages=prompt_messages, credentials=credentials, response=response - ) - - def _convert_prompt_message_to_minimax_message(self, prompt_message: PromptMessage) -> MinimaxMessage: - """ - convert PromptMessage to MinimaxMessage so that we can use MinimaxChatCompletionPro interface - """ - if isinstance(prompt_message, SystemPromptMessage): - return MinimaxMessage(role=MinimaxMessage.Role.SYSTEM.value, content=prompt_message.content) - elif isinstance(prompt_message, UserPromptMessage): - return MinimaxMessage(role=MinimaxMessage.Role.USER.value, content=prompt_message.content) - elif isinstance(prompt_message, AssistantPromptMessage): - if prompt_message.tool_calls: - message = MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content="") - message.function_call = { - "name": prompt_message.tool_calls[0].function.name, - "arguments": prompt_message.tool_calls[0].function.arguments, - } - return message - return MinimaxMessage(role=MinimaxMessage.Role.ASSISTANT.value, content=prompt_message.content) - elif isinstance(prompt_message, ToolPromptMessage): - return MinimaxMessage(role=MinimaxMessage.Role.FUNCTION.value, content=prompt_message.content) - else: - raise NotImplementedError(f"Prompt message type {type(prompt_message)} is not supported") - - def _handle_chat_generate_response( - self, model: str, prompt_messages: list[PromptMessage], credentials: dict, response: MinimaxMessage - ) -> LLMResult: - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=response.usage["prompt_tokens"], - completion_tokens=response.usage["completion_tokens"], - ) - return LLMResult( - model=model, - prompt_messages=prompt_messages, - message=AssistantPromptMessage( - content=response.content, - tool_calls=[], - ), - usage=usage, - ) - - def _handle_chat_generate_stream_response( - self, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Generator[MinimaxMessage, None, None], - ) -> Generator[LLMResultChunk, None, None]: - for message in response: - if message.usage: - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=message.usage["prompt_tokens"], - completion_tokens=message.usage["completion_tokens"], - ) - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=message.content, tool_calls=[]), - usage=usage, - finish_reason=message.stop_reason or None, - ), - ) - elif message.function_call: - if "name" not in message.function_call or "arguments" not in message.function_call: - continue - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage( - content="", - tool_calls=[ - AssistantPromptMessage.ToolCall( - id="", - type="function", - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=message.function_call["name"], arguments=message.function_call["arguments"] - ), - ) - ], - ), - ), - ) - else: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=message.content, tool_calls=[]), - finish_reason=message.stop_reason or None, - ), - ) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [InternalServerError], - InvokeRateLimitError: [RateLimitReachedError], - InvokeAuthorizationError: [ - InvalidAuthenticationError, - InsufficientAccountBalanceError, - InvalidAPIKeyError, - ], - InvokeBadRequestError: [BadRequestError, KeyError], - } diff --git a/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml b/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml deleted file mode 100644 index 8f31aa872e7ab4..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/minimax-text-01.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: minimax-text-01 -label: - en_US: Minimax-Text-01 -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 1000192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.01 - max: 1 - default: 0.1 - - name: top_p - use_template: top_p - min: 0.01 - max: 1 - default: 0.95 - - name: max_tokens - use_template: max_tokens - required: true - default: 2048 - min: 1 - max: 1000192 - - name: mask_sensitive_info - type: boolean - default: true - label: - zh_Hans: 隐私保护 - en_US: Moderate - help: - zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 - en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0.001' - output: '0.008' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/llm/types.py b/api/core/model_runtime/model_providers/minimax/llm/types.py deleted file mode 100644 index c248db374a2504..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/llm/types.py +++ /dev/null @@ -1,30 +0,0 @@ -from enum import Enum -from typing import Any - - -class MinimaxMessage: - class Role(Enum): - USER = "USER" - ASSISTANT = "BOT" - SYSTEM = "SYSTEM" - FUNCTION = "FUNCTION" - - role: str = Role.USER.value - content: str - usage: dict[str, int] | None = None - stop_reason: str = "" - function_call: dict[str, Any] | None = None - - def to_dict(self) -> dict[str, Any]: - if self.function_call and self.role == MinimaxMessage.Role.ASSISTANT.value: - return {"sender_type": "BOT", "sender_name": "专家", "text": "", "function_call": self.function_call} - - return { - "sender_type": self.role, - "sender_name": "我" if self.role == "USER" else "专家", - "text": self.content, - } - - def __init__(self, content: str, role: str = "USER") -> None: - self.content = content - self.role = role diff --git a/api/core/model_runtime/model_providers/minimax/minimax.py b/api/core/model_runtime/model_providers/minimax/minimax.py deleted file mode 100644 index 5a761903a1eb12..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/minimax.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class MinimaxProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `abab5.5-chat` model for validate, - model_instance.validate_credentials(model="abab5.5-chat", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise CredentialsValidateFailedError(f"{ex}") diff --git a/api/core/model_runtime/model_providers/minimax/minimax.yaml b/api/core/model_runtime/model_providers/minimax/minimax.yaml deleted file mode 100644 index 0a97ff9bb98758..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/minimax.yaml +++ /dev/null @@ -1,37 +0,0 @@ -provider: minimax -label: - en_US: Minimax -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -background: "#FFEFEF" -help: - title: - en_US: Get your API Key from Minimax - zh_Hans: 从 Minimax 获取您的 API Key - url: - en_US: https://api.minimax.chat/user-center/basic-information/interface-key -supported_model_types: - - llm - - text-embedding -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: minimax_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: minimax_group_id - label: - en_US: Group ID - type: text-input - required: true - placeholder: - zh_Hans: 在此输入您的 Group ID - en_US: Enter your group ID diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/__init__.py b/api/core/model_runtime/model_providers/minimax/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/embo-01.yaml b/api/core/model_runtime/model_providers/minimax/text_embedding/embo-01.yaml deleted file mode 100644 index 33546eafd3f54e..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/text_embedding/embo-01.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: embo-01 -model_type: text-embedding -model_properties: - context_size: 4096 - max_chunks: 1 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py deleted file mode 100644 index 29be5888af3fc2..00000000000000 --- a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py +++ /dev/null @@ -1,185 +0,0 @@ -import time -from json import dumps -from typing import Optional - -from requests import post - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.minimax.llm.errors import ( - BadRequestError, - InsufficientAccountBalanceError, - InternalServerError, - InvalidAPIKeyError, - InvalidAuthenticationError, - RateLimitReachedError, -) - - -class MinimaxTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for Minimax text embedding model. - """ - - api_base: str = "https://api.minimax.chat/v1/embeddings" - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - api_key = credentials["minimax_api_key"] - group_id = credentials["minimax_group_id"] - if model != "embo-01": - raise ValueError("Invalid model name") - if not api_key: - raise CredentialsValidateFailedError("api_key is required") - url = f"{self.api_base}?GroupId={group_id}" - headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - - embedding_type = "db" if input_type == EmbeddingInputType.DOCUMENT else "query" - data = {"model": "embo-01", "texts": texts, "type": embedding_type} - - try: - response = post(url, headers=headers, data=dumps(data)) - except Exception as e: - raise InvokeConnectionError(str(e)) - - if response.status_code != 200: - raise InvokeServerUnavailableError(response.text) - - try: - resp = response.json() - # check if there is an error - if resp["base_resp"]["status_code"] != 0: - code = resp["base_resp"]["status_code"] - msg = resp["base_resp"]["status_msg"] - self._handle_error(code, msg) - - embeddings = resp["vectors"] - total_tokens = resp["total_tokens"] - except InvalidAuthenticationError: - raise InvalidAPIKeyError("Invalid api key") - except KeyError as e: - raise InternalServerError(f"Failed to convert response to json: {e} with text: {response.text}") - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=total_tokens) - - result = TextEmbeddingResult(model=model, embeddings=embeddings, usage=usage) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - num_tokens = 0 - for text in texts: - # use MinimaxTokenizer to get num tokens - num_tokens += self._get_num_tokens_by_gpt2(text) - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except InvalidAPIKeyError: - raise CredentialsValidateFailedError("Invalid api key") - - def _handle_error(self, code: int, msg: str): - if code in {1000, 1001}: - raise InternalServerError(msg) - elif code == 1002: - raise RateLimitReachedError(msg) - elif code == 1004: - raise InvalidAuthenticationError(msg) - elif code == 1008: - raise InsufficientAccountBalanceError(msg) - elif code == 2013: - raise BadRequestError(msg) - else: - raise InternalServerError(msg) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [InternalServerError], - InvokeRateLimitError: [RateLimitReachedError], - InvokeAuthorizationError: [ - InvalidAuthenticationError, - InsufficientAccountBalanceError, - InvalidAPIKeyError, - ], - InvokeBadRequestError: [BadRequestError, KeyError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git 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zKB(hKE4<*mIltVs^ggG1b~H0?N+ zmEe{A2kJHcj(hLc+Qt!s+S`n7lCGOFDx5iTS^ugQ<=uMlPoUW1=xWrYZ5>iX*eL|b z%Lx;A)v0>(9mIMbDJN42)R0c7pcD{t?OTbx&VtVY3?w+SR`UOROKj?Ki=EpTNL4B6 z{UB(I;9@DE8B1o`=E3$b%vxPIblwtlN&EfkUDX5;P}Z*b7edg`JnjP0d4CZfuNOA2 zJ+ckc^PW2iD!^U-VVBmG|CEQX@`=z4(r?_O4mw|eJ{unCAs7hB!ng{<6uvF|* diff --git a/api/core/model_runtime/model_providers/mistralai/llm/_position.yaml b/api/core/model_runtime/model_providers/mistralai/llm/_position.yaml deleted file mode 100644 index 5702797ac447c8..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/_position.yaml +++ /dev/null @@ -1,13 +0,0 @@ -- pixtral-large-latest -- pixtral-large-2411 -- pixtral-12b-2409 -- codestral-latest -- mistral-embed -- open-mistral-nemo -- open-codestral-mamba -- open-mistral-7b -- open-mixtral-8x7b -- open-mixtral-8x22b -- mistral-small-latest -- mistral-medium-latest -- mistral-large-latest diff --git a/api/core/model_runtime/model_providers/mistralai/llm/codestral-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/codestral-latest.yaml deleted file mode 100644 index 5f1260233fe97b..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/codestral-latest.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: codestral-latest -label: - zh_Hans: codestral-latest - en_US: codestral-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4096 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/llm.py b/api/core/model_runtime/model_providers/mistralai/llm/llm.py deleted file mode 100644 index da60bd7661d597..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/llm.py +++ /dev/null @@ -1,36 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from core.model_runtime.entities.llm_entities import LLMResult -from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class MistralAILargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - - # mistral dose not support user/stop arguments - stop = [] - user = None - - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - @staticmethod - def _add_custom_parameters(credentials: dict) -> None: - credentials["mode"] = "chat" - credentials["endpoint_url"] = "https://api.mistral.ai/v1" diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-embed.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-embed.yaml deleted file mode 100644 index d759103d08a944..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-embed.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: mistral-embed -label: - zh_Hans: mistral-embed - en_US: mistral-embed -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-large-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-large-latest.yaml deleted file mode 100644 index a0d07a2bf801bf..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-large-latest.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: mistral-large-latest -label: - zh_Hans: mistral-large-latest - en_US: mistral-large-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-medium-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-medium-latest.yaml deleted file mode 100644 index 7c7440894c0c9c..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-medium-latest.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: mistral-medium-latest -label: - zh_Hans: mistral-medium-latest - en_US: mistral-medium-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.0027' - output: '0.0081' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/mistral-small-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/mistral-small-latest.yaml deleted file mode 100644 index 865e6102262196..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/mistral-small-latest.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: mistral-small-latest -label: - zh_Hans: mistral-small-latest - en_US: mistral-small-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-codestral-mamba.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-codestral-mamba.yaml deleted file mode 100644 index d7ffb9ea020848..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/open-codestral-mamba.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: open-codestral-mamba -label: - zh_Hans: open-codestral-mamba - en_US: open-codestral-mamba -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 256000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 16384 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-7b.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-7b.yaml deleted file mode 100644 index ac2922695999c0..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-7b.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: open-mistral-7b -label: - zh_Hans: open-mistral-7b - en_US: open-mistral-7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 2048 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.00025' - output: '0.00025' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-nemo.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-nemo.yaml deleted file mode 100644 index dcda4fbce7e82c..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/open-mistral-nemo.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: open-mistral-nemo -label: - zh_Hans: open-mistral-nemo - en_US: open-mistral-nemo -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8192 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x22b.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x22b.yaml deleted file mode 100644 index 325fafd497300e..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x22b.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: open-mixtral-8x22b -label: - zh_Hans: open-mixtral-8x22b - en_US: open-mixtral-8x22b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x7b.yaml b/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x7b.yaml deleted file mode 100644 index d217e5e7e98c42..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/open-mixtral-8x7b.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: open-mixtral-8x7b -label: - zh_Hans: open-mixtral-8x7b - en_US: open-mixtral-8x7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.0007' - output: '0.0007' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-12b-2409.yaml b/api/core/model_runtime/model_providers/mistralai/llm/pixtral-12b-2409.yaml deleted file mode 100644 index 9eb663bc31350b..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-12b-2409.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: pixtral-12b-2409 -label: - zh_Hans: pixtral-12b-2409 - en_US: pixtral-12b-2409 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 8192 - min: 1 - max: 8192 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-2411.yaml b/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-2411.yaml deleted file mode 100644 index 606c9aa3319a8b..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-2411.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: pixtral-large-2411 -label: - zh_Hans: pixtral-large-2411 - en_US: pixtral-large-2411 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 8192 - min: 1 - max: 8192 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-latest.yaml b/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-latest.yaml deleted file mode 100644 index 4f0ed5ae5d77f2..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/llm/pixtral-large-latest.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: pixtral-large-latest -label: - zh_Hans: pixtral-large-latest - en_US: pixtral-large-latest -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 8192 - min: 1 - max: 8192 - - name: safe_prompt - default: false - type: boolean - help: - en_US: Whether to inject a safety prompt before all conversations. - zh_Hans: 是否开启提示词审查 - label: - en_US: SafePrompt - zh_Hans: 提示词审查 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: RandomSeed - zh_Hans: 随机数种子 - default: 0 - min: 0 - max: 2147483647 -pricing: - input: '0.008' - output: '0.024' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mistralai/mistralai.py b/api/core/model_runtime/model_providers/mistralai/mistralai.py deleted file mode 100644 index 7f9db8da1c1ddf..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/mistralai.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class MistralAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="open-mistral-7b", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/mistralai/mistralai.yaml b/api/core/model_runtime/model_providers/mistralai/mistralai.yaml deleted file mode 100644 index c9b4226ea6e573..00000000000000 --- a/api/core/model_runtime/model_providers/mistralai/mistralai.yaml +++ /dev/null @@ -1,31 +0,0 @@ -provider: mistralai -label: - en_US: MistralAI -description: - en_US: Models provided by MistralAI, such as open-mistral-7b and mistral-large-latest. - zh_Hans: MistralAI 提供的模型，例如 open-mistral-7b 和 mistral-large-latest。 -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -background: "#FFFFFF" -help: - title: - en_US: Get your API Key from MistralAI - zh_Hans: 从 MistralAI 获取 API Key - url: - en_US: https://console.mistral.ai/api-keys/ -supported_model_types: - - llm -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/mixedbread/__init__.py b/api/core/model_runtime/model_providers/mixedbread/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/mixedbread/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/mixedbread/_assets/icon_l_en.png deleted file mode 100644 index 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zM3OwagBT{3J?b8`b5@-TMR=mFi`)k~mYA^+?yGigabY(g1?<^1qkIn%Dw7AwRitNk zG;4C&R_^0I%?u3GtHgaQPeWZ8-#rHMCMIyX&u5| z-5TKK{>Xn~_6eESUKSP@z2a>)3(k2aKU87L`9mquTnc-JC#`|z{Pjd&yAkO%5BNwJ z@JOPwTFINN64LB|9FAcaT^7a_Y5qBRm^R}IwCP+(ojpijp|m!h{>kCHJaHs4-hjaWH#zqgnD6&U?{7o9wb^9EzqW0SVY|4j% zYs5XPgKHDoPgg9YCw5x=C1=4$6))O(MCGna4M>Sxjy= z0vV@C5q|R0`o^HR3KBZ3f+Eci*S*@iV$6xLq$i#Am9;eNHbCmqt6a-T#5HZnnneaw zS;zg;L6Qbp;eD@D()yJt1)%eORcv*M+`>bHGD=`?NFXZ*16C~eDd%P&e;ceex_@@k z@fZnb;b)j*tBR@g=*S(&Rh%}PKr!eGI^FiC>U2&P)==h%6vD>IioI)jI&n`uCW6~UH z?3Ror16b{?Dv@XvA0)9PhXOk;Oj&`M5&Qx43djohe`+})z None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING) - - # Use `mxbai-embed-large-v1` model for validate, - model_instance.validate_credentials(model="mxbai-embed-large-v1", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/mixedbread/mixedbread.yaml b/api/core/model_runtime/model_providers/mixedbread/mixedbread.yaml deleted file mode 100644 index 2f43aea6ade2c6..00000000000000 --- a/api/core/model_runtime/model_providers/mixedbread/mixedbread.yaml +++ /dev/null @@ -1,31 +0,0 @@ -provider: mixedbread -label: - en_US: MixedBread -description: - en_US: Embedding and Rerank Model Supported -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -background: "#EFFDFD" -help: - title: - en_US: Get your API key from MixedBread AI - zh_Hans: 从 MixedBread 获取 API Key - url: - en_US: https://www.mixedbread.ai/ -supported_model_types: - - text-embedding - - rerank -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/mixedbread/rerank/__init__.py b/api/core/model_runtime/model_providers/mixedbread/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/mixedbread/rerank/mxbai-rerank-large-v1-en.yaml b/api/core/model_runtime/model_providers/mixedbread/rerank/mxbai-rerank-large-v1-en.yaml deleted file mode 100644 index beda2199537450..00000000000000 --- a/api/core/model_runtime/model_providers/mixedbread/rerank/mxbai-rerank-large-v1-en.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: mxbai-rerank-large-v1 -model_type: rerank -model_properties: - context_size: 512 diff --git a/api/core/model_runtime/model_providers/mixedbread/rerank/rerank.py b/api/core/model_runtime/model_providers/mixedbread/rerank/rerank.py deleted file mode 100644 index bf3c12fd86dc35..00000000000000 --- a/api/core/model_runtime/model_providers/mixedbread/rerank/rerank.py +++ /dev/null @@ -1,125 +0,0 @@ -from typing import Optional - -import httpx - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class MixedBreadRerankModel(RerankModel): - """ - Model class for MixedBread rerank model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n documents to return - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - base_url = credentials.get("base_url", "https://api.mixedbread.ai/v1") - base_url = base_url.removesuffix("/") - - try: - response = httpx.post( - base_url + "/reranking", - json={"model": model, "query": query, "input": docs, "top_k": top_n, "return_input": True}, - headers={"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"}, - ) - response.raise_for_status() - results = response.json() - - rerank_documents = [] - for result in results["data"]: - rerank_document = RerankDocument( - index=result["index"], - text=result["input"], - score=result["score"], - ) - if score_threshold is None or result["score"] >= score_threshold: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - except httpx.HTTPStatusError as e: - raise InvokeServerUnavailableError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return { - InvokeConnectionError: [httpx.ConnectError], - InvokeServerUnavailableError: [httpx.RemoteProtocolError], - InvokeRateLimitError: [], - InvokeAuthorizationError: [httpx.HTTPStatusError], - InvokeBadRequestError: [httpx.RequestError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.RERANK, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "512"))}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/__init__.py b/api/core/model_runtime/model_providers/mixedbread/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-2d-large-v1-en.yaml b/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-2d-large-v1-en.yaml deleted file mode 100644 index 0c3c863d06b89a..00000000000000 --- a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-2d-large-v1-en.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: mxbai-embed-2d-large-v1 -model_type: text-embedding -model_properties: - context_size: 512 -pricing: - input: '0.0001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-large-v1-en.yaml b/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-large-v1-en.yaml deleted file mode 100644 index 0c5cda2a72a99e..00000000000000 --- a/api/core/model_runtime/model_providers/mixedbread/text_embedding/mxbai-embed-large-v1-en.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: mxbai-embed-large-v1 -model_type: text-embedding -model_properties: - context_size: 512 -pricing: - input: '0.0001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/mixedbread/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/mixedbread/text_embedding/text_embedding.py deleted file mode 100644 index ca949cb9532daa..00000000000000 --- a/api/core/model_runtime/model_providers/mixedbread/text_embedding/text_embedding.py +++ /dev/null @@ -1,170 +0,0 @@ -import time -from json import JSONDecodeError, dumps -from typing import Optional - -import requests - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - - -class MixedBreadTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for MixedBread text embedding model. - """ - - api_base: str = "https://api.mixedbread.ai/v1" - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - api_key = credentials["api_key"] - if not api_key: - raise CredentialsValidateFailedError("api_key is required") - - base_url = credentials.get("base_url", self.api_base) - base_url = base_url.removesuffix("/") - - url = base_url + "/embeddings" - headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - - data = {"model": model, "input": texts} - - try: - response = requests.post(url, headers=headers, data=dumps(data)) - except Exception as e: - raise InvokeConnectionError(str(e)) - - if response.status_code != 200: - try: - resp = response.json() - msg = resp["detail"] - if response.status_code == 401: - raise InvokeAuthorizationError(msg) - elif response.status_code == 429: - raise InvokeRateLimitError(msg) - elif response.status_code == 500: - raise InvokeServerUnavailableError(msg) - else: - raise InvokeBadRequestError(msg) - except JSONDecodeError as e: - raise InvokeServerUnavailableError( - f"Failed to convert response to json: {e} with text: {response.text}" - ) - - try: - resp = response.json() - embeddings = resp["data"] - usage = resp["usage"] - except Exception as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"]) - - result = TextEmbeddingResult( - model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage - ) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - return sum(self._get_num_tokens_by_gpt2(text) for text in texts) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except Exception as e: - raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError, InvokeBadRequestError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "512"))}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/model_provider_factory.py b/api/core/model_runtime/model_providers/model_provider_factory.py index e2d17e32575920..b311f069a897a7 100644 --- a/api/core/model_runtime/model_providers/model_provider_factory.py +++ b/api/core/model_runtime/model_providers/model_provider_factory.py @@ -1,63 +1,134 @@ import logging import os from collections.abc import Sequence +from threading import Lock from typing import Optional -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel -from core.helper.module_import_helper import load_single_subclass_from_source +import contexts +from core.entities import DEFAULT_PLUGIN_ID from core.helper.position_helper import get_provider_position_map, sort_to_dict_by_position_map -from core.model_runtime.entities.model_entities import ModelType +from core.model_runtime.entities.model_entities import AIModelEntity, ModelType from core.model_runtime.entities.provider_entities import ProviderConfig, ProviderEntity, SimpleProviderEntity -from core.model_runtime.model_providers.__base.model_provider import ModelProvider +from core.model_runtime.model_providers.__base.ai_model import AIModel +from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel +from core.model_runtime.model_providers.__base.moderation_model import ModerationModel +from core.model_runtime.model_providers.__base.rerank_model import RerankModel +from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel +from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel +from core.model_runtime.model_providers.__base.tts_model import TTSModel from core.model_runtime.schema_validators.model_credential_schema_validator import ModelCredentialSchemaValidator from core.model_runtime.schema_validators.provider_credential_schema_validator import ProviderCredentialSchemaValidator +from core.plugin.entities.plugin import ModelProviderID +from core.plugin.entities.plugin_daemon import PluginModelProviderEntity +from core.plugin.manager.asset import PluginAssetManager +from core.plugin.manager.model import PluginModelManager logger = logging.getLogger(__name__) class ModelProviderExtension(BaseModel): - model_config = ConfigDict(arbitrary_types_allowed=True) - - provider_instance: ModelProvider - name: str + plugin_model_provider_entity: PluginModelProviderEntity position: Optional[int] = None class ModelProviderFactory: - model_provider_extensions: Optional[dict[str, ModelProviderExtension]] = None + provider_position_map: dict[str, int] = {} + + def __init__(self, tenant_id: str) -> None: + self.tenant_id = tenant_id + self.plugin_model_manager = PluginModelManager() - def __init__(self) -> None: - # for cache in memory - self.get_providers() + if not self.provider_position_map: + # get the path of current classes + current_path = os.path.abspath(__file__) + model_providers_path = os.path.dirname(current_path) + + # get _position.yaml file path + self.provider_position_map = get_provider_position_map(model_providers_path) def get_providers(self) -> Sequence[ProviderEntity]: """ Get all providers :return: list of providers """ - # scan all providers - model_provider_extensions = self._get_model_provider_map() + # Fetch plugin model providers + plugin_providers = self.get_plugin_model_providers() - # traverse all model_provider_extensions - providers = [] - for model_provider_extension in model_provider_extensions.values(): - # get model_provider instance - model_provider_instance = model_provider_extension.provider_instance + # Convert PluginModelProviderEntity to ModelProviderExtension + model_provider_extensions = [] + for provider in plugin_providers: + model_provider_extensions.append(ModelProviderExtension(plugin_model_provider_entity=provider)) - # get provider schema - provider_schema = model_provider_instance.get_provider_schema() + sorted_extensions = sort_to_dict_by_position_map( + position_map=self.provider_position_map, + data=model_provider_extensions, + name_func=lambda x: x.plugin_model_provider_entity.declaration.provider, + ) - for model_type in provider_schema.supported_model_types: - # get predefined models for given model type - models = model_provider_instance.models(model_type) - if models: - provider_schema.models.extend(models) + return [extension.plugin_model_provider_entity.declaration for extension in sorted_extensions.values()] - providers.append(provider_schema) + def get_plugin_model_providers(self) -> Sequence[PluginModelProviderEntity]: + """ + Get all plugin model providers + :return: list of plugin model providers + """ + # check if context is set + try: + contexts.plugin_model_providers.get() + except LookupError: + contexts.plugin_model_providers.set(None) + contexts.plugin_model_providers_lock.set(Lock()) - # return providers - return providers + with contexts.plugin_model_providers_lock.get(): + plugin_model_providers = contexts.plugin_model_providers.get() + if plugin_model_providers is not None: + return plugin_model_providers + + plugin_model_providers = [] + contexts.plugin_model_providers.set(plugin_model_providers) + + # Fetch plugin model providers + plugin_providers = self.plugin_model_manager.fetch_model_providers(self.tenant_id) + + for provider in plugin_providers: + provider.declaration.provider = provider.plugin_id + "/" + provider.declaration.provider + plugin_model_providers.append(provider) + + return plugin_model_providers + + def get_provider_schema(self, provider: str) -> ProviderEntity: + """ + Get provider schema + :param provider: provider name + :return: provider schema + """ + plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider) + return plugin_model_provider_entity.declaration + + def get_plugin_model_provider(self, provider: str) -> PluginModelProviderEntity: + """ + Get plugin model provider + :param provider: provider name + :return: provider schema + """ + if "/" not in provider: + provider = str(ModelProviderID(provider)) + + # fetch plugin model providers + plugin_model_provider_entities = self.get_plugin_model_providers() + + # get the provider + plugin_model_provider_entity = next( + (p for p in plugin_model_provider_entities if p.declaration.provider == provider), + None, + ) + + if not plugin_model_provider_entity: + raise ValueError(f"Invalid provider: {provider}") + + return plugin_model_provider_entity def provider_credentials_validate(self, *, provider: str, credentials: dict) -> dict: """ @@ -67,15 +138,11 @@ def provider_credentials_validate(self, *, provider: str, credentials: dict) -> :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. :return: """ - # get the provider instance - model_provider_instance = self.get_provider_instance(provider) - - # get provider schema - provider_schema = model_provider_instance.get_provider_schema() + # fetch plugin model provider + plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider) # get provider_credential_schema and validate credentials according to the rules - provider_credential_schema = provider_schema.provider_credential_schema - + provider_credential_schema = plugin_model_provider_entity.declaration.provider_credential_schema if not provider_credential_schema: raise ValueError(f"Provider {provider} does not have provider_credential_schema") @@ -84,7 +151,13 @@ def provider_credentials_validate(self, *, provider: str, credentials: dict) -> filtered_credentials = validator.validate_and_filter(credentials) # validate the credentials, raise exception if validation failed - model_provider_instance.validate_provider_credentials(filtered_credentials) + self.plugin_model_manager.validate_provider_credentials( + tenant_id=self.tenant_id, + user_id="unknown", + plugin_id=plugin_model_provider_entity.plugin_id, + provider=plugin_model_provider_entity.provider, + credentials=filtered_credentials, + ) return filtered_credentials @@ -100,15 +173,11 @@ def model_credentials_validate( :param credentials: model credentials, credentials form defined in `model_credential_schema`. :return: """ - # get the provider instance - model_provider_instance = self.get_provider_instance(provider) - - # get provider schema - provider_schema = model_provider_instance.get_provider_schema() + # fetch plugin model provider + plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider) # get model_credential_schema and validate credentials according to the rules - model_credential_schema = provider_schema.model_credential_schema - + model_credential_schema = plugin_model_provider_entity.declaration.model_credential_schema if not model_credential_schema: raise ValueError(f"Provider {provider} does not have model_credential_schema") @@ -116,14 +185,38 @@ def model_credentials_validate( validator = ModelCredentialSchemaValidator(model_type, model_credential_schema) filtered_credentials = validator.validate_and_filter(credentials) - # get model instance of the model type - model_instance = model_provider_instance.get_model_instance(model_type) - # call validate_credentials method of model type to validate credentials, raise exception if validation failed - model_instance.validate_credentials(model, filtered_credentials) + self.plugin_model_manager.validate_model_credentials( + tenant_id=self.tenant_id, + user_id="unknown", + plugin_id=plugin_model_provider_entity.plugin_id, + provider=plugin_model_provider_entity.provider, + model_type=model_type.value, + model=model, + credentials=filtered_credentials, + ) return filtered_credentials + def get_model_schema( + self, *, provider: str, model_type: ModelType, model: str, credentials: dict + ) -> AIModelEntity | None: + """ + Get model schema + """ + plugin_id, provider_name = self.get_plugin_id_and_provider_name_from_provider(provider) + model_schema = self.plugin_model_manager.get_model_schema( + tenant_id=self.tenant_id, + user_id="unknown", + plugin_id=plugin_id, + provider=provider_name, + model_type=model_type.value, + model=model, + credentials=credentials, + ) + + return model_schema + def get_models( self, *, @@ -142,7 +235,7 @@ def get_models( provider_configs = provider_configs or [] # scan all providers - model_provider_extensions = self._get_model_provider_map() + plugin_model_provider_entities = self.get_plugin_model_providers() # convert provider_configs to dict provider_credentials_dict = {} @@ -151,16 +244,13 @@ def get_models( # traverse all model_provider_extensions providers = [] - for name, model_provider_extension in model_provider_extensions.items(): + for plugin_model_provider_entity in plugin_model_provider_entities: # filter by provider if provider is present - if provider and name != provider: + if provider and plugin_model_provider_entity.declaration.provider != provider: continue - # get model_provider instance - model_provider_instance = model_provider_extension.provider_instance - # get provider schema - provider_schema = model_provider_instance.get_provider_schema() + provider_schema = plugin_model_provider_entity.declaration model_types = provider_schema.supported_model_types if model_type: @@ -170,13 +260,11 @@ def get_models( model_types = [model_type] all_model_type_models = [] - for model_type in model_types: - # get predefined models for given model type - models = model_provider_instance.models( - model_type=model_type, - ) + for model_schema in provider_schema.models: + if model_schema.model_type != model_type: + continue - all_model_type_models.extend(models) + all_model_type_models.append(model_schema) simple_provider_schema = provider_schema.to_simple_provider() simple_provider_schema.models.extend(all_model_type_models) @@ -185,95 +273,98 @@ def get_models( return providers - def get_provider_instance(self, provider: str) -> ModelProvider: + def get_model_type_instance(self, provider: str, model_type: ModelType) -> AIModel: """ - Get provider instance by provider name + Get model type instance by provider name and model type :param provider: provider name - :return: provider instance + :param model_type: model type + :return: model type instance """ - # scan all providers - model_provider_extensions = self._get_model_provider_map() - - # get the provider extension - model_provider_extension = model_provider_extensions.get(provider) - if not model_provider_extension: - raise Exception(f"Invalid provider: {provider}") - - # get the provider instance - model_provider_instance = model_provider_extension.provider_instance - - return model_provider_instance - - def _get_model_provider_map(self) -> dict[str, ModelProviderExtension]: + plugin_id, provider_name = self.get_plugin_id_and_provider_name_from_provider(provider) + init_params = { + "tenant_id": self.tenant_id, + "plugin_id": plugin_id, + "provider_name": provider_name, + "plugin_model_provider": self.get_plugin_model_provider(provider), + } + + if model_type == ModelType.LLM: + return LargeLanguageModel(**init_params) # type: ignore + elif model_type == ModelType.TEXT_EMBEDDING: + return TextEmbeddingModel(**init_params) # type: ignore + elif model_type == ModelType.RERANK: + return RerankModel(**init_params) # type: ignore + elif model_type == ModelType.SPEECH2TEXT: + return Speech2TextModel(**init_params) # type: ignore + elif model_type == ModelType.MODERATION: + return ModerationModel(**init_params) # type: ignore + elif model_type == ModelType.TTS: + return TTSModel(**init_params) # type: ignore + + def get_provider_icon(self, provider: str, icon_type: str, lang: str) -> tuple[bytes, str]: """ - Retrieves the model provider map. - - This method retrieves the model provider map, which is a dictionary containing the model provider names as keys - and instances of `ModelProviderExtension` as values. The model provider map is used to store information about - available model providers. - - Returns: - A dictionary containing the model provider map. - - Raises: - None. + Get provider icon + :param provider: provider name + :param icon_type: icon type (icon_small or icon_large) + :param lang: language (zh_Hans or en_US) + :return: provider icon """ - if self.model_provider_extensions: - return self.model_provider_extensions - - # get the path of current classes - current_path = os.path.abspath(__file__) - model_providers_path = os.path.dirname(current_path) - - # get all folders path under model_providers_path that do not start with __ - model_provider_dir_paths = [ - os.path.join(model_providers_path, model_provider_dir) - for model_provider_dir in os.listdir(model_providers_path) - if not model_provider_dir.startswith("__") - and os.path.isdir(os.path.join(model_providers_path, model_provider_dir)) - ] - - # get _position.yaml file path - position_map = get_provider_position_map(model_providers_path) - - # traverse all model_provider_dir_paths - model_providers: list[ModelProviderExtension] = [] - for model_provider_dir_path in model_provider_dir_paths: - # get model_provider dir name - model_provider_name = os.path.basename(model_provider_dir_path) - - file_names = os.listdir(model_provider_dir_path) - - if (model_provider_name + ".py") not in file_names: - logger.warning(f"Missing {model_provider_name}.py file in {model_provider_dir_path}, Skip.") - continue - - # Dynamic loading {model_provider_name}.py file and find the subclass of ModelProvider - py_path = os.path.join(model_provider_dir_path, model_provider_name + ".py") - model_provider_class = load_single_subclass_from_source( - module_name=f"core.model_runtime.model_providers.{model_provider_name}.{model_provider_name}", - script_path=py_path, - parent_type=ModelProvider, - ) - - if not model_provider_class: - logger.warning(f"Missing Model Provider Class that extends ModelProvider in {py_path}, Skip.") - continue - - if f"{model_provider_name}.yaml" not in file_names: - logger.warning(f"Missing {model_provider_name}.yaml file in {model_provider_dir_path}, Skip.") - continue - - model_providers.append( - ModelProviderExtension( - name=model_provider_name, - provider_instance=model_provider_class(), - position=position_map.get(model_provider_name), - ) - ) - - sorted_extensions = sort_to_dict_by_position_map(position_map, model_providers, lambda x: x.name) - - self.model_provider_extensions = sorted_extensions - - return sorted_extensions + # get the provider schema + provider_schema = self.get_provider_schema(provider) + + if icon_type.lower() == "icon_small": + if not provider_schema.icon_small: + raise ValueError(f"Provider {provider} does not have small icon.") + + if lang.lower() == "zh_hans": + file_name = provider_schema.icon_small.zh_Hans + else: + file_name = provider_schema.icon_small.en_US + else: + if not provider_schema.icon_large: + raise ValueError(f"Provider {provider} does not have large icon.") + + if lang.lower() == "zh_hans": + file_name = provider_schema.icon_large.zh_Hans + else: + file_name = provider_schema.icon_large.en_US + + if not file_name: + raise ValueError(f"Provider {provider} does not have icon.") + + image_mime_types = { + "jpg": "image/jpeg", + "jpeg": "image/jpeg", + "png": "image/png", + "gif": "image/gif", + "bmp": "image/bmp", + "tiff": "image/tiff", + "tif": "image/tiff", + "webp": "image/webp", + "svg": "image/svg+xml", + "ico": "image/vnd.microsoft.icon", + "heif": "image/heif", + "heic": "image/heic", + } + + extension = file_name.split(".")[-1] + mime_type = image_mime_types.get(extension, "image/png") + + # get icon bytes from plugin asset manager + plugin_asset_manager = PluginAssetManager() + return plugin_asset_manager.fetch_asset(tenant_id=self.tenant_id, id=file_name), mime_type + + def get_plugin_id_and_provider_name_from_provider(self, provider: str) -> tuple[str, str]: + """ + Get plugin id and provider name from provider name + :param provider: provider name + :return: plugin id and provider name + """ + plugin_id = DEFAULT_PLUGIN_ID + provider_name = provider + if "/" in provider: + # get the plugin_id before provider + plugin_id = "/".join(provider.split("/")[:-1]) + provider_name = provider.split("/")[-1] + + return str(plugin_id), provider_name diff --git a/api/core/model_runtime/model_providers/moonshot/__init__.py b/api/core/model_runtime/model_providers/moonshot/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/moonshot/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/moonshot/_assets/icon_l_en.png deleted file mode 100644 index a411526d3d69117dc37e7859666e639d3cda433e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 13654 zcmZ`=WmH>TvxeeO-WGQ$?(XjH6eqZA@!(Qiiv@?`rC4!_Ly_X{THIX|AUAyf?~jvx 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zbbyv%9z)03mB_Hdj)(qyj;h)Plj;K*tG)EgD=d&=Z*f{X6GK@^-K*o;-ezBc{5Ni& zj!kPm@Ry*j>6BB^;opMm7%q*mM9R{V!A^X9BX5fJh6Y_oLa5!!!G{K9 zGU5jh&%G+$*28&a3!xbqv0pD~>1^?2a&Zx5K~a)_Vg^3}_Y#vwu}EAyt=evpWqSK*9gm|;1*TYij_cbo zq|t@J6}YBziM&U-qREEXG;E-l)!*G!PaBmU5>F z#DNX{ai#E~@A=WP!BAHHncYU>B@mLQaE8=%IA2~2+>!JQ*`B-rsLfEcwCzg7og%>C zF0bcq{>j}!)XdcaApl-(UVaX4UJh;nZ60n>9$ryCAvSJqQEqOv*ne05kAj1fxs9dI W|6f6TT3Q{U04U49m8+653H?93{_?s2 diff --git a/api/core/model_runtime/model_providers/moonshot/llm/__init__.py b/api/core/model_runtime/model_providers/moonshot/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/moonshot/llm/_position.yaml b/api/core/model_runtime/model_providers/moonshot/llm/_position.yaml deleted file mode 100644 index 1810ec61d68e89..00000000000000 --- a/api/core/model_runtime/model_providers/moonshot/llm/_position.yaml +++ /dev/null @@ -1,3 +0,0 @@ -- moonshot-v1-8k -- moonshot-v1-32k -- moonshot-v1-128k diff --git a/api/core/model_runtime/model_providers/moonshot/llm/llm.py b/api/core/model_runtime/model_providers/moonshot/llm/llm.py deleted file mode 100644 index 33fa02f0bd979f..00000000000000 --- a/api/core/model_runtime/model_providers/moonshot/llm/llm.py +++ /dev/null @@ -1,327 +0,0 @@ -import json -from collections.abc import Generator -from typing import Optional, Union, cast - -import requests - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContent, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class MoonshotLargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - self._add_function_call(model, credentials) - user = user[:32] if user else None - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - return AIModelEntity( - model=model, - label=I18nObject(en_US=model, zh_Hans=model), - model_type=ModelType.LLM, - features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL] - if credentials.get("function_calling_type") == "tool_call" - else [], - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 4096)), - ModelPropertyKey.MODE: LLMMode.CHAT.value, - }, - parameter_rules=[ - ParameterRule( - name="temperature", - use_template="temperature", - label=I18nObject(en_US="Temperature", zh_Hans="温度"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="max_tokens", - use_template="max_tokens", - default=512, - min=1, - max=int(credentials.get("max_tokens", 4096)), - label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"), - type=ParameterType.INT, - ), - ParameterRule( - name="top_p", - use_template="top_p", - label=I18nObject(en_US="Top P", zh_Hans="Top P"), - type=ParameterType.FLOAT, - ), - ], - ) - - def _add_custom_parameters(self, credentials: dict) -> None: - credentials["mode"] = "chat" - if "endpoint_url" not in credentials or credentials["endpoint_url"] == "": - credentials["endpoint_url"] = "https://api.moonshot.cn/v1" - - def _add_function_call(self, model: str, credentials: dict) -> None: - model_schema = self.get_model_schema(model, credentials) - if model_schema and {ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL}.intersection( - model_schema.features or [] - ): - credentials["function_calling_type"] = "tool_call" - - def _convert_prompt_message_to_dict(self, message: PromptMessage, credentials: Optional[dict] = None) -> dict: - """ - Convert PromptMessage to dict for OpenAI API format - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(PromptMessageContent, message_content) - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - sub_message_dict = { - "type": "image_url", - "image_url": {"url": message_content.data, "detail": message_content.detail.value}, - } - sub_messages.append(sub_message_dict) - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls: - message_dict["tool_calls"] = [] - for function_call in message.tool_calls: - message_dict["tool_calls"].append( - { - "id": function_call.id, - "type": function_call.type, - "function": { - "name": function_call.function.name, - "arguments": function_call.function.arguments, - }, - } - ) - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - message_dict = {"role": "tool", "content": message.content, "tool_call_id": message.tool_call_id} - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - else: - raise ValueError(f"Got unknown type {message}") - - if message.name: - message_dict["name"] = message.name - - return message_dict - - def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_tool_calls: - for response_tool_call in response_tool_calls: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call["function"]["name"] - if response_tool_call.get("function", {}).get("name") - else "", - arguments=response_tool_call["function"]["arguments"] - if response_tool_call.get("function", {}).get("arguments") - else "", - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call["id"] if response_tool_call.get("id") else "", - type=response_tool_call["type"] if response_tool_call.get("type") else "", - function=function, - ) - tool_calls.append(tool_call) - - return tool_calls - - def _handle_generate_stream_response( - self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage] - ) -> Generator: - """ - Handle llm stream response - - :param model: model name - :param credentials: model credentials - :param response: streamed response - :param prompt_messages: prompt messages - :return: llm response chunk generator - """ - full_assistant_content = "" - chunk_index = 0 - - def create_final_llm_result_chunk( - index: int, message: AssistantPromptMessage, finish_reason: str - ) -> LLMResultChunk: - # calculate num tokens - prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content) - completion_tokens = self._num_tokens_from_string(model, full_assistant_content) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - return LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage), - ) - - tools_calls: list[AssistantPromptMessage.ToolCall] = [] - finish_reason = "Unknown" - - def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]): - def get_tool_call(tool_name: str): - if not tool_name: - return tools_calls[-1] - - tool_call = next((tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None) - if tool_call is None: - tool_call = AssistantPromptMessage.ToolCall( - id="", - type="", - function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""), - ) - tools_calls.append(tool_call) - - return tool_call - - for new_tool_call in new_tool_calls: - # get tool call - tool_call = get_tool_call(new_tool_call.function.name) - # update tool call - if new_tool_call.id: - tool_call.id = new_tool_call.id - if new_tool_call.type: - tool_call.type = new_tool_call.type - if new_tool_call.function.name: - tool_call.function.name = new_tool_call.function.name - if new_tool_call.function.arguments: - tool_call.function.arguments += new_tool_call.function.arguments - - for chunk in response.iter_lines(decode_unicode=True, delimiter="\n\n"): - if chunk: - # ignore sse comments - if chunk.startswith(":"): - continue - decoded_chunk = chunk.strip().removeprefix("data:").lstrip() - chunk_json = None - try: - chunk_json = json.loads(decoded_chunk) - # stream ended - except json.JSONDecodeError as e: - yield create_final_llm_result_chunk( - index=chunk_index + 1, - message=AssistantPromptMessage(content=""), - finish_reason="Non-JSON encountered.", - ) - break - if not chunk_json or len(chunk_json["choices"]) == 0: - continue - - choice = chunk_json["choices"][0] - finish_reason = chunk_json["choices"][0].get("finish_reason") - chunk_index += 1 - - if "delta" in choice: - delta = choice["delta"] - delta_content = delta.get("content") - - assistant_message_tool_calls = delta.get("tool_calls", None) - # assistant_message_function_call = delta.delta.function_call - - # extract tool calls from response - if assistant_message_tool_calls: - tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls) - increase_tool_call(tool_calls) - - if delta_content is None or delta_content == "": - continue - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=delta_content, tool_calls=tool_calls if assistant_message_tool_calls else [] - ) - - full_assistant_content += delta_content - elif "text" in choice: - choice_text = choice.get("text", "") - if choice_text == "": - continue - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=choice_text) - full_assistant_content += choice_text - else: - continue - - # check payload indicator for completion - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=assistant_prompt_message, - ), - ) - - chunk_index += 1 - - if tools_calls: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=AssistantPromptMessage(tool_calls=tools_calls, content=""), - ), - ) - - yield create_final_llm_result_chunk( - index=chunk_index, message=AssistantPromptMessage(content=""), finish_reason=finish_reason - ) diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml deleted file mode 100644 index 59c0915ee9b610..00000000000000 --- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-128k.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: moonshot-v1-128k -label: - zh_Hans: moonshot-v1-128k - en_US: moonshot-v1-128k -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 128000 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.06' - output: '0.06' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml deleted file mode 100644 index 724f2aa5a29f96..00000000000000 --- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-32k.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: moonshot-v1-32k -label: - zh_Hans: moonshot-v1-32k - en_US: moonshot-v1-32k -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.024' - output: '0.024' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml b/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml deleted file mode 100644 index 5872295bfad1ef..00000000000000 --- a/api/core/model_runtime/model_providers/moonshot/llm/moonshot-v1-8k.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: moonshot-v1-8k -label: - zh_Hans: moonshot-v1-8k - en_US: moonshot-v1-8k -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 8192 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.012' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/moonshot/moonshot.py b/api/core/model_runtime/model_providers/moonshot/moonshot.py deleted file mode 100644 index 4995e235f54c69..00000000000000 --- a/api/core/model_runtime/model_providers/moonshot/moonshot.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class MoonshotProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="moonshot-v1-8k", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/moonshot/moonshot.yaml b/api/core/model_runtime/model_providers/moonshot/moonshot.yaml deleted file mode 100644 index 41e9c2e8086e83..00000000000000 --- a/api/core/model_runtime/model_providers/moonshot/moonshot.yaml +++ /dev/null @@ -1,89 +0,0 @@ -provider: moonshot -label: - zh_Hans: 月之暗面 - en_US: Moonshot -description: - en_US: Models provided by Moonshot, such as moonshot-v1-8k, moonshot-v1-32k, and moonshot-v1-128k. - zh_Hans: Moonshot 提供的模型，例如 moonshot-v1-8k、moonshot-v1-32k 和 moonshot-v1-128k。 -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -background: "#FFFFFF" -help: - title: - en_US: Get your API Key from Moonshot - zh_Hans: 从 Moonshot 获取 API Key - url: - en_US: https://platform.moonshot.cn/console/api-keys -supported_model_types: - - llm -configurate_methods: - - predefined-model - - customizable-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: endpoint_url - label: - en_US: API Base - type: text-input - required: false - placeholder: - zh_Hans: Base URL, 如：https://api.moonshot.cn/v1 - en_US: Base URL, e.g. https://api.moonshot.cn/v1 -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '4096' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - default: '4096' - type: text-input - - variable: function_calling_type - label: - en_US: Function calling - type: select - required: false - default: no_call - options: - - value: no_call - label: - en_US: Not supported - zh_Hans: 不支持 - - value: tool_call - label: - en_US: Tool Call - zh_Hans: Tool Call diff --git a/api/core/model_runtime/model_providers/nomic/__init__.py b/api/core/model_runtime/model_providers/nomic/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/nomic/_assets/icon_l_en.svg 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zHI7+{^Mk=Njw+FR#CgqcLdhnOITq#)tndf&H@E3!GgybP3wEIA+L@0tk);B?b!=Ix zw7gailx6Q*>z36;YJ->^Uy`*%synCt*|dtx2fY}dB3GbmHp_64YoqW4*N;Nxsh-8p{~bnJJUYSp)SZ{xD=Au)hy9vq(sbd!`!dQlMcj(4<=<&jVmPYjcDH$22;RV`KF{;)-h%9}ACh=h`Y=U2n0 z7aOK6V4Iza!(P(XN@z!9_al<4lZHPCQkTJ|^ z=W+^HPlQM{akHN={{93IH0WXQB)I8G@`J^C?fY8_Ny2y)L{ekrGf=7~t^Rn4K5e#! z47xqdMwX+v|J) diff --git a/api/core/model_runtime/model_providers/nomic/_common.py b/api/core/model_runtime/model_providers/nomic/_common.py deleted file mode 100644 index 406577dcd7e701..00000000000000 --- a/api/core/model_runtime/model_providers/nomic/_common.py +++ /dev/null @@ -1,28 +0,0 @@ -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) - - -class _CommonNomic: - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError, InvokeBadRequestError], - } diff --git a/api/core/model_runtime/model_providers/nomic/nomic.py b/api/core/model_runtime/model_providers/nomic/nomic.py deleted file mode 100644 index d4e5da2e98ec97..00000000000000 --- a/api/core/model_runtime/model_providers/nomic/nomic.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class NomicAtlasProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING) - model_instance.validate_credentials(model="nomic-embed-text-v1.5", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/nomic/nomic.yaml b/api/core/model_runtime/model_providers/nomic/nomic.yaml deleted file mode 100644 index 60dcf1facb475d..00000000000000 --- a/api/core/model_runtime/model_providers/nomic/nomic.yaml +++ /dev/null @@ -1,29 +0,0 @@ -provider: nomic -label: - zh_Hans: Nomic Atlas - en_US: Nomic Atlas -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.svg -background: "#EFF1FE" -help: - title: - en_US: Get your API key from Nomic Atlas - zh_Hans: 从Nomic Atlas获取 API Key - url: - en_US: https://atlas.nomic.ai/data -supported_model_types: - - text-embedding -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: nomic_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/__init__.py b/api/core/model_runtime/model_providers/nomic/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.5.yaml b/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.5.yaml deleted file mode 100644 index 111452df579f8f..00000000000000 --- a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.5.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: nomic-embed-text-v1.5 -model_type: text-embedding -model_properties: - context_size: 8192 -pricing: - input: "0.1" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.yaml b/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.yaml deleted file mode 100644 index ac59f106ed2928..00000000000000 --- a/api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: nomic-embed-text-v1 -model_type: text-embedding -model_properties: - context_size: 8192 -pricing: - input: "0.1" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/nomic/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/nomic/text_embedding/text_embedding.py deleted file mode 100644 index 8a4c19d4d8f71b..00000000000000 --- a/api/core/model_runtime/model_providers/nomic/text_embedding/text_embedding.py +++ /dev/null @@ -1,165 +0,0 @@ -import time -from functools import wraps -from typing import Optional - -from nomic import embed # type: ignore -from nomic import login as nomic_login # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import ( - EmbeddingUsage, - TextEmbeddingResult, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import ( - TextEmbeddingModel, -) -from core.model_runtime.model_providers.nomic._common import _CommonNomic - - -def nomic_login_required(func): - @wraps(func) - def wrapper(*args, **kwargs): - try: - if not kwargs.get("credentials"): - raise ValueError("missing credentials parameters") - credentials = kwargs.get("credentials") - if "nomic_api_key" not in credentials: - raise ValueError("missing nomic_api_key in credentials parameters") - # nomic login - nomic_login(credentials["nomic_api_key"]) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - return func(*args, **kwargs) - - return wrapper - - -class NomicTextEmbeddingModel(_CommonNomic, TextEmbeddingModel): - """ - Model class for nomic text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - embeddings, prompt_tokens, total_tokens = self.embed_text( - model=model, - credentials=credentials, - texts=texts, - ) - - # calc usage - usage = self._calc_response_usage( - model=model, credentials=credentials, tokens=prompt_tokens, total_tokens=total_tokens - ) - return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - return sum(self._get_num_tokens_by_gpt2(text) for text in texts) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # call embedding model - self.embed_text(model=model, credentials=credentials, texts=["ping"]) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @nomic_login_required - def embed_text(self, model: str, credentials: dict, texts: list[str]) -> tuple[list[list[float]], int, int]: - """Call out to Nomic's embedding endpoint. - - Args: - model: The model to use for embedding. - texts: The list of texts to embed. - - Returns: - List of embeddings, one for each text, and tokens usage. - """ - embeddings: list[list[float]] = [] - prompt_tokens = 0 - total_tokens = 0 - - response = embed.text( - model=model, - texts=texts, - ) - - if not (response and "embeddings" in response): - raise ValueError("Embedding data is missing in the response.") - - if not (response and "usage" in response): - raise ValueError("Response usage is missing.") - - if "prompt_tokens" not in response["usage"]: - raise ValueError("Response usage does not contain prompt tokens.") - - if "total_tokens" not in response["usage"]: - raise ValueError("Response usage does not contain total tokens.") - - embeddings = [list(map(float, e)) for e in response["embeddings"]] - total_tokens = response["usage"]["total_tokens"] - prompt_tokens = response["usage"]["prompt_tokens"] - return embeddings, prompt_tokens, total_tokens - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int, total_tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: prompt tokens - :param total_tokens: total tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, - credentials=credentials, - price_type=PriceType.INPUT, - tokens=tokens, - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=total_tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg deleted file mode 100644 index c27089a2ac0737..00000000000000 --- a/api/core/model_runtime/model_providers/novita/_assets/icon_l_en.svg +++ /dev/null @@ -1,11 +0,0 @@ - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg deleted file mode 100644 index ae2d4815c46ad3..00000000000000 --- a/api/core/model_runtime/model_providers/novita/_assets/icon_s_en.svg +++ /dev/null @@ -1,3 +0,0 @@ - - - diff --git a/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml b/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml deleted file mode 100644 index 34e03747704749..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/L3-8B-Stheno-v3.2.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: Sao10K/L3-8B-Stheno-v3.2 -label: - zh_Hans: L3 8B Stheno V3.2 - en_US: L3 8B Stheno V3.2 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0005' - output: '0.0005' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/_position.yaml b/api/core/model_runtime/model_providers/novita/llm/_position.yaml deleted file mode 100644 index 9550dcba62987a..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/_position.yaml +++ /dev/null @@ -1,41 +0,0 @@ -# Deepseek Models -- deepseek/deepseek-r1 -- deepseek/deepseek_v3 - -# LLaMA Models -- meta-llama/llama-3.3-70b-instruct -- meta-llama/llama-3.2-11b-vision-instruct -- meta-llama/llama-3.2-3b-instruct -- meta-llama/llama-3.2-1b-instruct -- meta-llama/llama-3.1-70b-instruct -- meta-llama/llama-3.1-8b-instruct -- meta-llama/llama-3.1-8b-instruct-max -- meta-llama/llama-3.1-8b-instruct-bf16 -- meta-llama/llama-3-70b-instruct -- meta-llama/llama-3-8b-instruct - -# Mistral Models -- mistralai/mistral-nemo -- mistralai/mistral-7b-instruct - -# Qwen Models -- qwen/qwen-2.5-72b-instruct -- qwen/qwen-2-72b-instruct -- qwen/qwen-2-vl-72b-instruct -- qwen/qwen-2-7b-instruct - -# Other Models -- sao10k/L3-8B-Stheno-v3.2 -- sao10k/l3-70b-euryale-v2.1 -- sao10k/l31-70b-euryale-v2.2 -- sao10k/l3-8b-lunaris -- jondurbin/airoboros-l2-70b -- cognitivecomputations/dolphin-mixtral-8x22b -- google/gemma-2-9b-it -- nousresearch/hermes-2-pro-llama-3-8b -- sophosympatheia/midnight-rose-70b -- gryphe/mythomax-l2-13b -- nousresearch/nous-hermes-llama2-13b -- openchat/openchat-7b -- teknium/openhermes-2.5-mistral-7b -- microsoft/wizardlm-2-8x22b diff --git a/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml b/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml deleted file mode 100644 index bcf9fa1b44716e..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/airoboros-l2-70b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: jondurbin/airoboros-l2-70b -label: - zh_Hans: Airoboros L2 70B - en_US: Airoboros L2 70B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.005' - output: '0.005' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml deleted file mode 100644 index ce80aa8243eaca..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/deepseek-r1.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: deepseek/deepseek-r1 -label: - zh_Hans: DeepSeek R1 - en_US: DeepSeek R1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.04' - output: '0.04' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml b/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml deleted file mode 100644 index 261a0a67c2735a..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/deepseek_v3.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: deepseek/deepseek_v3 -label: - zh_Hans: DeepSeek V3 - en_US: DeepSeek V3 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0089' - output: '0.0089' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml b/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml deleted file mode 100644 index 708c51aeb54afb..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/dolphin-mixtral-8x22b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: cognitivecomputations/dolphin-mixtral-8x22b -label: - zh_Hans: Dolphin Mixtral 8x22B - en_US: Dolphin Mixtral 8x22B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.009' - output: '0.009' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml b/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml deleted file mode 100644 index f23e369498951f..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/gemma-2-9b-it.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: google/gemma-2-9b-it -label: - zh_Hans: Gemma 2 9B - en_US: Gemma 2 9B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0008' - output: '0.0008' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml b/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml deleted file mode 100644 index 4b5fe4ab95af01..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/hermes-2-pro-llama-3-8b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: nousresearch/hermes-2-pro-llama-3-8b -label: - zh_Hans: Hermes 2 Pro Llama 3 8B - en_US: Hermes 2 Pro Llama 3 8B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0014' - output: '0.0014' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml b/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml deleted file mode 100644 index f294c2e4527246..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/l3-70b-euryale-v2.1.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: sao10k/l3-70b-euryale-v2.1 -label: - zh_Hans: "L3 70B Euryale V2.1\t" - en_US: "L3 70B Euryale V2.1\t" -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0148' - output: '0.0148' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml b/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml deleted file mode 100644 index d22ecaedf9bcbd..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/l3-8b-lunaris.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: sao10k/l3-8b-lunaris -label: - zh_Hans: "Sao10k L3 8B Lunaris" - en_US: "Sao10k L3 8B Lunaris" -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0005' - output: '0.0005' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml b/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml deleted file mode 100644 index 19cfe31a06620b..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/l31-70b-euryale-v2.2.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: sao10k/l31-70b-euryale-v2.2 -label: - zh_Hans: L31 70B Euryale V2.2 - en_US: L31 70B Euryale V2.2 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0148' - output: '0.0148' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml deleted file mode 100644 index 1c6a78257bd399..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3-70b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3-70b-instruct -label: - zh_Hans: Llama3 70b Instruct - en_US: Llama3 70b Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0051' - output: '0.0074' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml deleted file mode 100644 index 98ca0ff571c9b4..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3-8b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3-8b-instruct -label: - zh_Hans: Llama 3 8B Instruct - en_US: Llama 3 8B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0004' - output: '0.0004' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml deleted file mode 100644 index be374abad3191c..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-70b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.1-70b-instruct -label: - zh_Hans: Llama 3.1 70B Instruct - en_US: Llama 3.1 70B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0034' - output: '0.0039' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml deleted file mode 100644 index b172084fff5750..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.1-8b-instruct-bf16 -label: - zh_Hans: Llama 3.1 8B Instruct BF16 - en_US: Llama 3.1 8B Instruct BF16 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0006' - output: '0.0006' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml deleted file mode 100644 index 1ddd8e2d44e8ac..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct-max.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.1-8b-instruct-max -label: - zh_Hans: "Llama3.1 8B Instruct Max\t" - en_US: "Llama3.1 8B Instruct Max\t" -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0005' - output: '0.0005' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml deleted file mode 100644 index a4ca86df9ff84a..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.1-8b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.1-8b-instruct -label: - zh_Hans: Llama 3.1 8B Instruct - en_US: Llama 3.1 8B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0005' - output: '0.0005' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml deleted file mode 100644 index f33fa6e50721d5..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-11b-vision-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.2-11b-vision-instruct -label: - zh_Hans: "Llama 3.2 11B Vision Instruct\t" - en_US: "Llama 3.2 11B Vision Instruct\t" -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0006' - output: '0.0006' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml deleted file mode 100644 index f09750f8ca5325..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-1b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.2-1b-instruct -label: - zh_Hans: "Llama 3.2 1B Instruct\t" - en_US: "Llama 3.2 1B Instruct\t" -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0002' - output: '0.0002' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml deleted file mode 100644 index 7a19ef475a4037..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.2-3b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.2-3b-instruct -label: - zh_Hans: Llama 3.2 3B Instruct - en_US: Llama 3.2 3B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0003' - output: '0.0005' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml deleted file mode 100644 index efdc2cc9eef92c..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llama-3.3-70b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: meta-llama/llama-3.3-70b-instruct -label: - zh_Hans: Llama 3.3 70B Instruct - en_US: Llama 3.3 70B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0039' - output: '0.0039' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/llm.py b/api/core/model_runtime/model_providers/novita/llm/llm.py deleted file mode 100644 index 23367ed1b4309e..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/llm.py +++ /dev/null @@ -1,69 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from core.model_runtime.entities.llm_entities import LLMResult -from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class NovitaLargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _update_endpoint_url(self, credentials: dict): - credentials["endpoint_url"] = "https://api.novita.ai/v3/openai" - credentials["extra_headers"] = {"X-Novita-Source": "dify.ai"} - return credentials - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - return super()._invoke(model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - self._add_custom_parameters(credentials, model) - return super().validate_credentials(model, cred_with_endpoint) - - @classmethod - def _add_custom_parameters(cls, credentials: dict, model: str) -> None: - credentials["mode"] = "chat" - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - return super()._generate( - model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user - ) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super().get_customizable_model_schema(model, cred_with_endpoint) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super().get_num_tokens(model, cred_with_endpoint, prompt_messages, tools) diff --git a/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml b/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml deleted file mode 100644 index 26f06868a9dc92..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/midnight-rose-70b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: sophosympatheia/midnight-rose-70b -label: - zh_Hans: Midnight Rose 70B - en_US: Midnight Rose 70B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.008' - output: '0.008' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml deleted file mode 100644 index 237542554f65f6..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/mistral-7b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: mistralai/mistral-7b-instruct -label: - zh_Hans: Mistral 7B Instruct - en_US: Mistral 7B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.00059' - output: '0.00059' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml b/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml deleted file mode 100644 index 6f1167385fa84f..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/mistral-nemo.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: mistralai/mistral-nemo -label: - zh_Hans: Mistral Nemo - en_US: Mistral Nemo -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0017' - output: '0.0017' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml b/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml deleted file mode 100644 index 4c32e106a01da2..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/mythomax-l2-13b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: gryphe/mythomax-l2-13b -label: - zh_Hans: Mythomax L2 13B - en_US: Mythomax L2 13B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0009' - output: '0.0009' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml b/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml deleted file mode 100644 index 21a5ee8c0b36f7..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/nous-hermes-llama2-13b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: nousresearch/nous-hermes-llama2-13b -label: - zh_Hans: Nous Hermes Llama2 13B - en_US: Nous Hermes Llama2 13B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0017' - output: '0.0017' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml b/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml deleted file mode 100644 index b21ea3015352e4..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/openchat-7b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: openchat/openchat-7b -label: - zh_Hans: OpenChat 7B - en_US: OpenChat 7B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0006' - output: '0.0006' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml b/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml deleted file mode 100644 index 272a4ed868d27b..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/openhermes-2.5-mistral-7b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: teknium/openhermes-2.5-mistral-7b -label: - zh_Hans: Openhermes2.5 Mistral 7B - en_US: Openhermes2.5 Mistral 7B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0017' - output: '0.0017' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml deleted file mode 100644 index 069f9096bc9e90..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-72b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: qwen/qwen-2-72b-instruct -label: - zh_Hans: Qwen2 72B Instruct - en_US: Qwen2 72B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0034' - output: '0.0039' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml deleted file mode 100644 index afc627f193261d..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-7b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: qwen/qwen-2-7b-instruct -label: - zh_Hans: Qwen 2 7B Instruct - en_US: Qwen 2 7B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.00054' - output: '0.00054' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml deleted file mode 100644 index 06bdf0c837dd47..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/qwen-2-vl-72b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: qwen/qwen-2-vl-72b-instruct -label: - zh_Hans: Qwen 2 VL 72B Instruct - en_US: Qwen 2 VL 72B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0045' - output: '0.0045' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml deleted file mode 100644 index 97f5af35b7f5d3..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/qwen-2.5-72b-instruct.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: qwen/qwen-2.5-72b-instruct -label: - zh_Hans: Qwen 2.5 72B Instruct - en_US: Qwen 2.5 72B Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0038' - output: '0.004' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml b/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml deleted file mode 100644 index 126670dda671a9..00000000000000 --- a/api/core/model_runtime/model_providers/novita/llm/wizardlm-2-8x22b.yaml +++ /dev/null @@ -1,41 +0,0 @@ -model: microsoft/wizardlm-2-8x22b -label: - zh_Hans: Wizardlm 2 8x22B - en_US: Wizardlm 2 8x22B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 65535 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 2 - default: 1 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 512 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 -pricing: - input: '0.0062' - output: '0.0062' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/novita/novita.py b/api/core/model_runtime/model_providers/novita/novita.py deleted file mode 100644 index 76a75b01e27e01..00000000000000 --- a/api/core/model_runtime/model_providers/novita/novita.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class NovitaProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `meta-llama/llama-3-8b-instruct` model for validate, - # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="meta-llama/llama-3-8b-instruct", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/novita/novita.yaml b/api/core/model_runtime/model_providers/novita/novita.yaml deleted file mode 100644 index 223085453dbde1..00000000000000 --- a/api/core/model_runtime/model_providers/novita/novita.yaml +++ /dev/null @@ -1,31 +0,0 @@ -provider: novita -label: - en_US: Novita AI -description: - en_US: An LLM API that matches various application scenarios with high cost-effectiveness. - zh_Hans: 适配多种海外应用场景的高性价比 LLM API -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#c7fce2" -help: - title: - en_US: Get your API key from Novita AI - zh_Hans: 从 Novita AI 获取 API Key - url: - en_US: https://novita.ai/settings/key-management?utm_source=dify&utm_medium=ch&utm_campaign=api -supported_model_types: - - llm -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - required: true - label: - en_US: API Key - type: secret-input - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git 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a/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml b/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml deleted file mode 100644 index 36ec25fa2d534d..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml +++ /dev/null @@ -1,18 +0,0 @@ -- deepseek-ai/deepseek-r1 -- google/gemma-7b -- google/codegemma-7b -- google/recurrentgemma-2b -- meta/llama2-70b -- meta/llama-3.1-8b-instruct -- meta/llama-3.1-70b-instruct -- meta/llama-3.1-405b-instruct -- meta/llama3-8b-instruct -- meta/llama3-70b-instruct -- mistralai/mistral-large -- mistralai/mixtral-8x7b-instruct-v0.1 -- mistralai/mixtral-8x22b-instruct-v0.1 -- nvidia/nemotron-4-340b-instruct -- microsoft/phi-3-medium-128k-instruct -- microsoft/phi-3-mini-128k-instruct -- fuyu-8b -- snowflake/arctic diff --git a/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml b/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml deleted file mode 100644 index 7f53ae58e695a9..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: snowflake/arctic -label: - zh_Hans: snowflake/arctic - en_US: snowflake/arctic -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/codegemma-7b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/codegemma-7b.yaml deleted file mode 100644 index 57446224a8a811..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/codegemma-7b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: google/codegemma-7b -label: - zh_Hans: google/codegemma-7b - en_US: google/codegemma-7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml deleted file mode 100644 index 159941eca442db..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/deepseek-r1.yaml +++ /dev/null @@ -1,35 +0,0 @@ -model: deepseek-ai/deepseek-r1 -label: - en_US: deepseek-ai/deepseek-r1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/fuyu-8b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/fuyu-8b.yaml deleted file mode 100644 index 6ae524c6d80913..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/fuyu-8b.yaml +++ /dev/null @@ -1,27 +0,0 @@ -model: fuyu-8b -label: - zh_Hans: fuyu-8b - en_US: fuyu-8b -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 16000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.2 - min: 0.1 - max: 1 - - name: top_p - use_template: top_p - default: 0.7 - min: 0.1 - max: 1 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/gemma-7b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/gemma-7b.yaml deleted file mode 100644 index 794b820bf42175..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/gemma-7b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: google/gemma-7b -label: - zh_Hans: google/gemma-7b - en_US: google/gemma-7b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-405b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-405b.yaml deleted file mode 100644 index 5472de99027643..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-405b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: meta/llama-3.1-405b-instruct -label: - zh_Hans: meta/llama-3.1-405b-instruct - en_US: meta/llama-3.1-405b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 4096 - default: 1024 - - name: frequency_penalt - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-70b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-70b.yaml deleted file mode 100644 index 16af0554a1ef41..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-70b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: meta/llama-3.1-70b-instruct -label: - zh_Hans: meta/llama-3.1-70b-instruct - en_US: meta/llama-3.1-70b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 4096 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-8b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-8b.yaml deleted file mode 100644 index f2d43dc30edf89..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/llama-3.1-8b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: meta/llama-3.1-8b-instruct -label: - zh_Hans: meta/llama-3.1-8b-instruct - en_US: meta/llama-3.1-8b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 4096 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama2-70b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama2-70b.yaml deleted file mode 100644 index 9fba816b7fd21d..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/llama2-70b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: meta/llama2-70b -label: - zh_Hans: meta/llama2-70b - en_US: meta/llama2-70b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama3-70b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama3-70b.yaml deleted file mode 100644 index 4d591d42265825..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/llama3-70b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: meta/llama3-70b-instruct -label: - zh_Hans: meta/llama3-70b-instruct - en_US: meta/llama3-70b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llama3-8b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/llama3-8b.yaml deleted file mode 100644 index 01395666745b69..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/llama3-8b.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: meta/llama3-8b-instruct -label: - zh_Hans: meta/llama3-8b-instruct - en_US: meta/llama3-8b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/llm.py b/api/core/model_runtime/model_providers/nvidia/llm/llm.py deleted file mode 100644 index fb572027984926..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/llm.py +++ /dev/null @@ -1,247 +0,0 @@ -import json -from collections.abc import Generator -from typing import Optional, Union - -import requests -from yarl import URL - -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult -from core.model_runtime.entities.message_entities import ( - PromptMessage, - PromptMessageContentType, - PromptMessageFunction, - PromptMessageTool, - UserPromptMessage, -) -from core.model_runtime.errors.invoke import InvokeError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel -from core.model_runtime.utils import helper - - -class NVIDIALargeLanguageModel(OAIAPICompatLargeLanguageModel): - MODEL_SUFFIX_MAP = { - "fuyu-8b": "vlm/adept/fuyu-8b", - "mistralai/mistral-large": "", - "mistralai/mixtral-8x7b-instruct-v0.1": "", - "mistralai/mixtral-8x22b-instruct-v0.1": "", - "google/gemma-7b": "", - "google/codegemma-7b": "", - "snowflake/arctic": "", - "meta/llama2-70b": "", - "meta/llama3-8b-instruct": "", - "meta/llama3-70b-instruct": "", - "meta/llama-3.1-8b-instruct": "", - "meta/llama-3.1-70b-instruct": "", - "meta/llama-3.1-405b-instruct": "", - "google/recurrentgemma-2b": "", - "nvidia/nemotron-4-340b-instruct": "", - "microsoft/phi-3-medium-128k-instruct": "", - "microsoft/phi-3-mini-128k-instruct": "", - } - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials, model) - prompt_messages = self._transform_prompt_messages(prompt_messages) - stop = [] - user = None - - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def _transform_prompt_messages(self, prompt_messages: list[PromptMessage]) -> list[PromptMessage]: - """ - Handle Image transform - """ - for i, p in enumerate(prompt_messages): - if isinstance(p, UserPromptMessage) and isinstance(p.content, list): - content = p.content - content_text = "" - for prompt_content in content: - if prompt_content.type == PromptMessageContentType.TEXT: - content_text += prompt_content.data - else: - content_text += f' ' - - prompt_message = UserPromptMessage(content=content_text) - prompt_messages[i] = prompt_message - return prompt_messages - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials, model) - self._validate_credentials(model, credentials) - - def _add_custom_parameters(self, credentials: dict, model: str) -> None: - credentials["mode"] = "chat" - - if self.MODEL_SUFFIX_MAP.get(model): - credentials["server_url"] = f"https://ai.api.nvidia.com/v1/{self.MODEL_SUFFIX_MAP[model]}" - credentials.pop("endpoint_url") - else: - credentials["endpoint_url"] = "https://integrate.api.nvidia.com/v1" - - credentials["stream_mode_delimiter"] = "\n" - - def _validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials using requests to ensure compatibility with all providers following - OpenAI's API standard. - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - headers = {"Content-Type": "application/json"} - - api_key = credentials.get("api_key") - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - endpoint_url = credentials.get("endpoint_url") - if endpoint_url and not endpoint_url.endswith("/"): - endpoint_url += "/" - server_url = credentials.get("server_url") - - # prepare the payload for a simple ping to the model - data = {"model": model, "max_tokens": 5} - - completion_type = LLMMode.value_of(credentials["mode"]) - - if completion_type is LLMMode.CHAT: - data["messages"] = [ - {"role": "user", "content": "ping"}, - ] - if "endpoint_url" in credentials: - endpoint_url = str(URL(endpoint_url) / "chat" / "completions") - elif "server_url" in credentials: - endpoint_url = server_url - elif completion_type is LLMMode.COMPLETION: - data["prompt"] = "ping" - if "endpoint_url" in credentials: - endpoint_url = str(URL(endpoint_url) / "completions") - elif "server_url" in credentials: - endpoint_url = server_url - else: - raise ValueError("Unsupported completion type for model configuration.") - - # send a post request to validate the credentials - response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300)) - - if response.status_code != 200: - raise CredentialsValidateFailedError( - f"Credentials validation failed with status code {response.status_code}" - ) - - try: - json_result = response.json() - except json.JSONDecodeError as e: - raise CredentialsValidateFailedError("Credentials validation failed: JSON decode error") - except CredentialsValidateFailedError: - raise - except Exception as ex: - raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}") - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke llm completion model - - :param model: model name - :param credentials: credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - headers = { - "Content-Type": "application/json", - "Accept-Charset": "utf-8", - } - - api_key = credentials.get("api_key") - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - if stream: - headers["Accept"] = "text/event-stream" - - endpoint_url = credentials.get("endpoint_url") - if endpoint_url and not endpoint_url.endswith("/"): - endpoint_url += "/" - server_url = credentials.get("server_url") - - data = {"model": model, "stream": stream, **model_parameters} - - completion_type = LLMMode.value_of(credentials["mode"]) - - if completion_type is LLMMode.CHAT: - if "endpoint_url" in credentials: - endpoint_url = str(URL(endpoint_url) / "chat" / "completions") - elif "server_url" in credentials: - endpoint_url = server_url - data["messages"] = [self._convert_prompt_message_to_dict(m, credentials) for m in prompt_messages] - elif completion_type is LLMMode.COMPLETION: - data["prompt"] = "ping" - if "endpoint_url" in credentials: - endpoint_url = str(URL(endpoint_url) / "completions") - elif "server_url" in credentials: - endpoint_url = server_url - else: - raise ValueError("Unsupported completion type for model configuration.") - - # annotate tools with names, descriptions, etc. - function_calling_type = credentials.get("function_calling_type", "no_call") - formatted_tools = [] - if tools: - if function_calling_type == "function_call": - data["functions"] = [ - {"name": tool.name, "description": tool.description, "parameters": tool.parameters} - for tool in tools - ] - elif function_calling_type == "tool_call": - data["tool_choice"] = "auto" - - for tool in tools: - formatted_tools.append(helper.dump_model(PromptMessageFunction(function=tool))) - - data["tools"] = formatted_tools - - if stop: - data["stop"] = stop - - if user: - data["user"] = user - - response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300), stream=stream) - - if response.encoding is None or response.encoding == "ISO-8859-1": - response.encoding = "utf-8" - - if not response.ok: - raise InvokeError(f"API request failed with status code {response.status_code}: {response.text}") - - if stream: - return self._handle_generate_stream_response(model, credentials, response, prompt_messages) - - return self._handle_generate_response(model, credentials, response, prompt_messages) diff --git a/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml b/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml deleted file mode 100644 index 3e14d221417178..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: mistralai/mistral-large -label: - zh_Hans: mistralai/mistral-large - en_US: mistralai/mistral-large -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/mistralai_mixtral-8x7b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/nvidia/llm/mistralai_mixtral-8x7b-instruct-v0.1.yaml deleted file mode 100644 index d2c4dc5d934a23..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/mistralai_mixtral-8x7b-instruct-v0.1.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: mistralai/mixtral-8x7b-instruct-v0.1 -label: - zh_Hans: mistralai/mixtral-8x7b-instruct-v0.1 - en_US: mistralai/mixtral-8x7b-instruct-v0.1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml deleted file mode 100644 index 05500c03362f0e..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: mistralai/mixtral-8x22b-instruct-v0.1 -label: - zh_Hans: mistralai/mixtral-8x22b-instruct-v0.1 - en_US: mistralai/mixtral-8x22b-instruct-v0.1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/nemotron-4-340b-instruct.yaml b/api/core/model_runtime/model_providers/nvidia/llm/nemotron-4-340b-instruct.yaml deleted file mode 100644 index e5537cd2fd9dc8..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/nemotron-4-340b-instruct.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: nvidia/nemotron-4-340b-instruct -label: - zh_Hans: nvidia/nemotron-4-340b-instruct - en_US: nvidia/nemotron-4-340b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 4096 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-medium-128k-instruct.yaml b/api/core/model_runtime/model_providers/nvidia/llm/phi-3-medium-128k-instruct.yaml deleted file mode 100644 index 0c5538d1350613..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-medium-128k-instruct.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: microsoft/phi-3-medium-128k-instruct -label: - zh_Hans: microsoft/phi-3-medium-128k-instruct - en_US: microsoft/phi-3-medium-128k-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 4096 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-mini-128k-instruct.yaml b/api/core/model_runtime/model_providers/nvidia/llm/phi-3-mini-128k-instruct.yaml deleted file mode 100644 index 1eb1c51d01157c..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/phi-3-mini-128k-instruct.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: microsoft/phi-3-mini-128k-instruct -label: - zh_Hans: microsoft/phi-3-mini-128k-instruct - en_US: microsoft/phi-3-mini-128k-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 4096 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml b/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml deleted file mode 100644 index 73fcce39305347..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: google/recurrentgemma-2b -label: - zh_Hans: google/recurrentgemma-2b - en_US: google/recurrentgemma-2b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 2048 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.2 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 0.7 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 1024 - default: 1024 - - name: random_seed - type: int - help: - en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. - zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 - label: - en_US: Seed - zh_Hans: 种子 - default: 0 - min: 0 - max: 2147483647 diff --git a/api/core/model_runtime/model_providers/nvidia/nvidia.py b/api/core/model_runtime/model_providers/nvidia/nvidia.py deleted file mode 100644 index 058fa003462585..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/nvidia.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class MistralAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="mistralai/mixtral-8x7b-instruct-v0.1", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/nvidia/nvidia.yaml b/api/core/model_runtime/model_providers/nvidia/nvidia.yaml deleted file mode 100644 index ce894a3372b757..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/nvidia.yaml +++ /dev/null @@ -1,33 +0,0 @@ -provider: nvidia -label: - en_US: API Catalog -description: - en_US: API Catalog - zh_Hans: API Catalog -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.png -background: "#FFFFFF" -help: - title: - en_US: Get your API Key from NVIDIA - zh_Hans: 从 NVIDIA 获取 API Key - url: - en_US: https://build.nvidia.com/explore/discover -supported_model_types: - - llm - - text-embedding - - rerank -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/nvidia/rerank/__init__.py b/api/core/model_runtime/model_providers/nvidia/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/nvidia/rerank/rerank-qa-mistral-4b.yaml b/api/core/model_runtime/model_providers/nvidia/rerank/rerank-qa-mistral-4b.yaml deleted file mode 100644 index 461f4e1cbe47a4..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/rerank/rerank-qa-mistral-4b.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: nv-rerank-qa-mistral-4b:1 -model_type: rerank -model_properties: - context_size: 512 diff --git a/api/core/model_runtime/model_providers/nvidia/rerank/rerank.py b/api/core/model_runtime/model_providers/nvidia/rerank/rerank.py deleted file mode 100644 index fabebc67ab0eeb..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/rerank/rerank.py +++ /dev/null @@ -1,121 +0,0 @@ -from math import exp -from typing import Optional - -import requests - -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class NvidiaRerankModel(RerankModel): - """ - Model class for NVIDIA rerank model. - """ - - def _sigmoid(self, logit: float) -> float: - return 1 / (1 + exp(-logit)) - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n documents to return - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - try: - invoke_url = "https://ai.api.nvidia.com/v1/retrieval/nvidia/reranking" - - headers = { - "Authorization": f"Bearer {credentials.get('api_key')}", - "Accept": "application/json", - } - payload = { - "model": model, - "query": {"text": query}, - "passages": [{"text": doc} for doc in docs], - } - session = requests.Session() - response = session.post(invoke_url, headers=headers, json=payload) - response.raise_for_status() - results = response.json() - - rerank_documents = [] - for result in results["rankings"]: - index = result["index"] - logit = result["logit"] - rerank_document = RerankDocument( - index=index, - text=docs[index], - score=self._sigmoid(logit), - ) - - rerank_documents.append(rerank_document) - if rerank_documents: - rerank_documents = sorted(rerank_documents, key=lambda x: x.score, reverse=True) - if top_n: - rerank_documents = rerank_documents[:top_n] - return RerankResult(model=model, docs=rerank_documents) - except requests.HTTPError as e: - raise InvokeServerUnavailableError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the GPU memory bandwidth of H100 SXM?", - docs=[ - "Example doc 1", - "Example doc 2", - "Example doc 3", - ], - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return { - InvokeConnectionError: [requests.ConnectionError], - InvokeServerUnavailableError: [requests.HTTPError], - InvokeRateLimitError: [], - InvokeAuthorizationError: [requests.HTTPError], - InvokeBadRequestError: [requests.RequestException], - } diff --git a/api/core/model_runtime/model_providers/nvidia/text_embedding/__init__.py b/api/core/model_runtime/model_providers/nvidia/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/nvidia/text_embedding/embed-qa-4.yaml b/api/core/model_runtime/model_providers/nvidia/text_embedding/embed-qa-4.yaml deleted file mode 100644 index a9b5e25c3c695e..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/text_embedding/embed-qa-4.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: NV-Embed-QA -model_type: text-embedding -model_properties: - context_size: 512 - max_chunks: 1 diff --git a/api/core/model_runtime/model_providers/nvidia/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/nvidia/text_embedding/text_embedding.py deleted file mode 100644 index 04363e11be8ba8..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia/text_embedding/text_embedding.py +++ /dev/null @@ -1,158 +0,0 @@ -import time -from json import JSONDecodeError, dumps -from typing import Optional - -from requests import post - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - - -class NvidiaTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for Nvidia text embedding model. - """ - - api_base: str = "https://ai.api.nvidia.com/v1/retrieval/nvidia/embeddings" - models: list[str] = ["NV-Embed-QA"] - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - api_key = credentials["api_key"] - if model not in self.models: - raise InvokeBadRequestError("Invalid model name") - if not api_key: - raise CredentialsValidateFailedError("api_key is required") - url = self.api_base - headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - - data = {"model": model, "input": texts[0], "input_type": "query"} - - try: - response = post(url, headers=headers, data=dumps(data)) - except Exception as e: - raise InvokeConnectionError(str(e)) - - if response.status_code != 200: - try: - resp = response.json() - msg = resp["detail"] - if response.status_code == 401: - raise InvokeAuthorizationError(msg) - elif response.status_code == 429: - raise InvokeRateLimitError(msg) - elif response.status_code == 500: - raise InvokeServerUnavailableError(msg) - else: - raise InvokeError(msg) - except JSONDecodeError as e: - raise InvokeServerUnavailableError( - f"Failed to convert response to json: {e} with text: {response.text}" - ) - - try: - resp = response.json() - embeddings = resp["data"] - usage = resp["usage"] - except Exception as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"]) - - result = TextEmbeddingResult( - model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage - ) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - num_tokens = 0 - for text in texts: - # use JinaTokenizer to get num tokens - num_tokens += self._get_num_tokens_by_gpt2(text) - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except InvokeAuthorizationError: - raise CredentialsValidateFailedError("Invalid api key") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # 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a/api/core/model_runtime/model_providers/nvidia_nim/llm/__init__.py b/api/core/model_runtime/model_providers/nvidia_nim/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/nvidia_nim/llm/llm.py b/api/core/model_runtime/model_providers/nvidia_nim/llm/llm.py deleted file mode 100644 index 6ff380bdd99c8b..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia_nim/llm/llm.py +++ /dev/null @@ -1,13 +0,0 @@ -import logging - -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - -logger = logging.getLogger(__name__) - - -class NVIDIANIMProvider(OAIAPICompatLargeLanguageModel): - """ - Model class for NVIDIA NIM large language model. - """ - - pass diff --git a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.py b/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.py deleted file mode 100644 index ad890ada22abc8..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class NVIDIANIMProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.yaml b/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.yaml deleted file mode 100644 index 0e892665d7e114..00000000000000 --- a/api/core/model_runtime/model_providers/nvidia_nim/nvidia_nim.yaml +++ /dev/null @@ -1,79 +0,0 @@ -provider: nvidia_nim -label: - en_US: NVIDIA NIM -description: - en_US: NVIDIA NIM, a set of easy-to-use inference microservices. - zh_Hans: NVIDIA NIM，一组易于使用的模型推理微服务。 -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.png -background: "#EFFDFD" -help: - title: - en_US: Learn more about NVIDIA NIM - zh_Hans: 了解 NVIDIA NIM 更多信息 - url: - en_US: https://www.nvidia.com/en-us/ai/ -supported_model_types: - - llm -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter full model name - zh_Hans: 输入模型全称 - credential_form_schemas: - - variable: endpoint_url - label: - zh_Hans: API endpoint URL - en_US: API endpoint URL - type: text-input - required: true - placeholder: - zh_Hans: Base URL, e.g. http://192.168.1.100:8000/v1 - en_US: Base URL, e.g. http://192.168.1.100:8000/v1 - - variable: mode - show_on: - - variable: __model_type - value: llm - label: - en_US: Completion mode - type: select - required: false - default: chat - placeholder: - zh_Hans: 选择对话类型 - en_US: Select completion mode - options: - - value: completion - label: - en_US: Completion - zh_Hans: 补全 - - value: chat - label: - en_US: Chat - zh_Hans: 对话 - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '4096' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens_to_sample - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - show_on: - - variable: __model_type - value: llm - default: '4096' - type: text-input diff --git a/api/core/model_runtime/model_providers/oci/__init__.py b/api/core/model_runtime/model_providers/oci/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/oci/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/oci/_assets/icon_l_en.svg deleted file mode 100644 index 0981dfcff28c78..00000000000000 --- a/api/core/model_runtime/model_providers/oci/_assets/icon_l_en.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/oci/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/oci/_assets/icon_s_en.svg deleted file mode 100644 index 0981dfcff28c78..00000000000000 --- a/api/core/model_runtime/model_providers/oci/_assets/icon_s_en.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml deleted file mode 100644 index adfd7543b25498..00000000000000 --- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-08-2024.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: cohere.command-r-08-2024 -label: - en_US: cohere.command-r-08-2024 v1.7 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 1 - max: 1.0 - - name: topP - use_template: top_p - default: 0.75 - min: 0 - max: 1 - - name: topK - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presencePenalty - use_template: presence_penalty - min: 0 - max: 1 - default: 0 - - name: frequencyPenalty - use_template: frequency_penalty - min: 0 - max: 1 - default: 0 - - name: maxTokens - use_template: max_tokens - default: 600 - max: 4000 -pricing: - input: '0.0009' - output: '0.0009' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml deleted file mode 100644 index 152c09ce6c9ba5..00000000000000 --- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-16k.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: cohere.command-r-16k -label: - en_US: cohere.command-r-16k v1.2 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 1 - max: 1.0 - - name: topP - use_template: top_p - default: 0.75 - min: 0 - max: 1 - - name: topK - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presencePenalty - use_template: presence_penalty - min: 0 - max: 1 - default: 0 - - name: frequencyPenalty - use_template: frequency_penalty - min: 0 - max: 1 - default: 0 - - name: maxTokens - use_template: max_tokens - default: 600 - max: 4000 -pricing: - input: '0.004' - output: '0.004' - unit: '0.0001' - currency: USD -deprecated: true diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml deleted file mode 100644 index 9db0a08496bbb8..00000000000000 --- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus-08-2024.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: cohere.command-r-plus-08-2024 -label: - en_US: cohere.command-r-plus-08-2024 v1.6 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 1 - max: 1.0 - - name: topP - use_template: top_p - default: 0.75 - min: 0 - max: 1 - - name: topK - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presencePenalty - use_template: presence_penalty - min: 0 - max: 1 - default: 0 - - name: frequencyPenalty - use_template: frequency_penalty - min: 0 - max: 1 - default: 0 - - name: maxTokens - use_template: max_tokens - default: 600 - max: 4000 -pricing: - input: '0.0156' - output: '0.0156' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml b/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml deleted file mode 100644 index e819fe05d468d2..00000000000000 --- a/api/core/model_runtime/model_providers/oci/llm/cohere.command-r-plus.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: cohere.command-r-plus -label: - en_US: cohere.command-r-plus v1.2 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - default: 1 - max: 1.0 - - name: topP - use_template: top_p - default: 0.75 - min: 0 - max: 1 - - name: topK - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presencePenalty - use_template: presence_penalty - min: 0 - max: 1 - default: 0 - - name: frequencyPenalty - use_template: frequency_penalty - min: 0 - max: 1 - default: 0 - - name: maxTokens - use_template: max_tokens - default: 600 - max: 4000 -pricing: - input: '0.0219' - output: '0.0219' - unit: '0.0001' - currency: USD -deprecated: true diff --git a/api/core/model_runtime/model_providers/oci/llm/llm.py b/api/core/model_runtime/model_providers/oci/llm/llm.py deleted file mode 100644 index ad40530222f429..00000000000000 --- a/api/core/model_runtime/model_providers/oci/llm/llm.py +++ /dev/null @@ -1,469 +0,0 @@ -import base64 -import copy -import json -import logging -from collections.abc import Generator -from typing import Optional, Union - -import oci # type: ignore -from oci.generative_ai_inference.models.base_chat_response import BaseChatResponse # type: ignore - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel - -logger = logging.getLogger(__name__) - -request_template = { - "compartmentId": "", - "servingMode": {"modelId": "cohere.command-r-plus-08-2024", "servingType": "ON_DEMAND"}, - "chatRequest": { - "apiFormat": "COHERE", - # "preambleOverride": "You are a helpful assistant.", - # "message": "Hello!", - # "chatHistory": [], - "maxTokens": 600, - "isStream": False, - "frequencyPenalty": 0, - "presencePenalty": 0, - "temperature": 1, - "topP": 0.75, - }, -} -oci_config_template = { - "user": "", - "fingerprint": "", - "tenancy": "", - "region": "", - "compartment_id": "", - "key_content": "", -} - - -class OCILargeLanguageModel(LargeLanguageModel): - # https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm - _supported_models = { - "meta.llama-3.1-70b-instruct": { - "system": True, - "multimodal": False, - "tool_call": False, - "stream_tool_call": False, - }, - "cohere.command-r-08-2024": { - "system": True, - "multimodal": False, - "tool_call": True, - "stream_tool_call": False, - }, - "cohere.command-r-plus-08-2024": { - "system": True, - "multimodal": False, - "tool_call": True, - "stream_tool_call": False, - }, - } - - def _is_tool_call_supported(self, model_id: str, stream: bool = False) -> bool: - feature = self._supported_models.get(model_id) - if not feature: - return False - return feature["stream_tool_call"] if stream else feature["tool_call"] - - def _is_multimodal_supported(self, model_id: str) -> bool: - feature = self._supported_models.get(model_id) - if not feature: - return False - return feature["multimodal"] - - def _is_system_prompt_supported(self, model_id: str) -> bool: - feature = self._supported_models.get(model_id) - if not feature: - return False - return feature["system"] - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # print("model"+"*"*20) - # print(model) - # print("credentials"+"*"*20) - # print(credentials) - # print("model_parameters"+"*"*20) - # print(model_parameters) - # print("prompt_messages"+"*"*200) - # print(prompt_messages) - # print("tools"+"*"*20) - # print(tools) - - # invoke model - return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return:md = genai.GenerativeModel(model) - """ - prompt = self._convert_messages_to_prompt(prompt_messages) - - return self._get_num_tokens_by_gpt2(prompt) - - def get_num_characters( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return:md = genai.GenerativeModel(model) - """ - prompt = self._convert_messages_to_prompt(prompt_messages) - - return len(prompt) - - def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str: - """ - :param messages: List of PromptMessage to combine. - :return: Combined string with necessary human_prompt and ai_prompt tags. - """ - messages = messages.copy() # don't mutate the original list - - text = "".join(self._convert_one_message_to_text(message) for message in messages) - - return text.rstrip() - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - # Setup basic variables - # Auth Config - try: - ping_message = SystemPromptMessage(content="ping") - self._generate(model, credentials, [ping_message], {"maxTokens": 5}) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: credentials kwargs - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # config_kwargs = model_parameters.copy() - # config_kwargs['max_output_tokens'] = config_kwargs.pop('max_tokens_to_sample', None) - # if stop: - # config_kwargs["stop_sequences"] = stop - - # initialize client - # ref: https://docs.oracle.com/en-us/iaas/api/#/en/generative-ai-inference/20231130/ChatResult/Chat - oci_config = copy.deepcopy(oci_config_template) - if "oci_config_content" in credentials: - oci_config_content = base64.b64decode(credentials.get("oci_config_content")).decode("utf-8") - config_items = oci_config_content.split("/") - if len(config_items) != 5: - raise CredentialsValidateFailedError( - "oci_config_content should be base64.b64encode(" - "'user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid'.encode('utf-8'))" - ) - oci_config["user"] = config_items[0] - oci_config["fingerprint"] = config_items[1] - oci_config["tenancy"] = config_items[2] - oci_config["region"] = config_items[3] - oci_config["compartment_id"] = config_items[4] - else: - raise CredentialsValidateFailedError("need to set oci_config_content in credentials ") - if "oci_key_content" in credentials: - oci_key_content = base64.b64decode(credentials.get("oci_key_content")).decode("utf-8") - oci_config["key_content"] = oci_key_content.encode(encoding="utf-8") - else: - raise CredentialsValidateFailedError("need to set oci_config_content in credentials ") - - # oci_config = oci.config.from_file('~/.oci/config', credentials.get('oci_api_profile')) - compartment_id = oci_config["compartment_id"] - client = oci.generative_ai_inference.GenerativeAiInferenceClient(config=oci_config) - # call embedding model - request_args = copy.deepcopy(request_template) - request_args["compartmentId"] = compartment_id - request_args["servingMode"]["modelId"] = model - - chat_history = [] - system_prompts = [] - # if "meta.llama" in model: - # request_args["chatRequest"]["apiFormat"] = "GENERIC" - request_args["chatRequest"]["maxTokens"] = model_parameters.pop("maxTokens", 600) - request_args["chatRequest"].update(model_parameters) - frequency_penalty = model_parameters.get("frequencyPenalty", 0) - presence_penalty = model_parameters.get("presencePenalty", 0) - if frequency_penalty > 0 and presence_penalty > 0: - raise InvokeBadRequestError("Cannot set both frequency penalty and presence penalty") - - # for msg in prompt_messages: # makes message roles strictly alternating - # content = self._format_message_to_glm_content(msg) - # if history and history[-1]["role"] == content["role"]: - # history[-1]["parts"].extend(content["parts"]) - # else: - # history.append(content) - - # temporary not implement the tool call function - valid_value = self._is_tool_call_supported(model, stream) - if tools is not None and len(tools) > 0: - if not valid_value: - raise InvokeBadRequestError("Does not support function calling") - if model.startswith("cohere"): - # print("run cohere " * 10) - for message in prompt_messages[:-1]: - text = "" - if isinstance(message.content, str): - text = message.content - if isinstance(message, UserPromptMessage): - chat_history.append({"role": "USER", "message": text}) - else: - chat_history.append({"role": "CHATBOT", "message": text}) - if isinstance(message, SystemPromptMessage): - if isinstance(message.content, str): - system_prompts.append(message.content) - args = { - "apiFormat": "COHERE", - "preambleOverride": " ".join(system_prompts), - "message": prompt_messages[-1].content, - "chatHistory": chat_history, - } - request_args["chatRequest"].update(args) - elif model.startswith("meta"): - # print("run meta " * 10) - meta_messages = [] - for message in prompt_messages: - text = message.content - meta_messages.append({"role": message.role.name, "content": [{"type": "TEXT", "text": text}]}) - args = {"apiFormat": "GENERIC", "messages": meta_messages, "numGenerations": 1, "topK": -1} - request_args["chatRequest"].update(args) - - if stream: - request_args["chatRequest"]["isStream"] = True - # print("final request" + "|" * 20) - # print(request_args) - response = client.chat(request_args) - # print(vars(response)) - - if stream: - return self._handle_generate_stream_response(model, credentials, response, prompt_messages) - - return self._handle_generate_response(model, credentials, response, prompt_messages) - - def _handle_generate_response( - self, model: str, credentials: dict, response: BaseChatResponse, prompt_messages: list[PromptMessage] - ) -> LLMResult: - """ - Handle llm response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm response - """ - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=response.data.chat_response.text) - - # calculate num tokens - prompt_tokens = self.get_num_characters(model, credentials, prompt_messages) - completion_tokens = self.get_num_characters(model, credentials, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - result = LLMResult( - model=model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - ) - - return result - - def _handle_generate_stream_response( - self, model: str, credentials: dict, response: BaseChatResponse, prompt_messages: list[PromptMessage] - ) -> Generator: - """ - Handle llm stream response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm response chunk generator result - """ - index = -1 - events = response.data.events() - for stream in events: - chunk = json.loads(stream.data) - # print(chunk) - # chunk: {'apiFormat': 'COHERE', 'text': 'Hello'} - - # for chunk in response: - # for part in chunk.parts: - # if part.function_call: - # assistant_prompt_message.tool_calls = [ - # AssistantPromptMessage.ToolCall( - # id=part.function_call.name, - # type='function', - # function=AssistantPromptMessage.ToolCall.ToolCallFunction( - # name=part.function_call.name, - # arguments=json.dumps(dict(part.function_call.args.items())) - # ) - # ) - # ] - - if "finishReason" not in chunk: - assistant_prompt_message = AssistantPromptMessage(content="") - if model.startswith("cohere"): - if chunk["text"]: - assistant_prompt_message.content += chunk["text"] - elif model.startswith("meta"): - assistant_prompt_message.content += chunk["message"]["content"][0]["text"] - index += 1 - # transform assistant message to prompt message - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message), - ) - else: - # calculate num tokens - prompt_tokens = self.get_num_characters(model, credentials, prompt_messages) - completion_tokens = self.get_num_characters(model, credentials, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index, - message=assistant_prompt_message, - finish_reason=str(chunk["finishReason"]), - usage=usage, - ), - ) - - def _convert_one_message_to_text(self, message: PromptMessage) -> str: - """ - Convert a single message to a string. - - :param message: PromptMessage to convert. - :return: String representation of the message. - """ - human_prompt = "\n\nuser:" - ai_prompt = "\n\nmodel:" - - content = message.content - if isinstance(content, list): - content = "".join(c.data for c in content if c.type != PromptMessageContentType.IMAGE) - - if isinstance(message, UserPromptMessage): - message_text = f"{human_prompt} {content}" - elif isinstance(message, AssistantPromptMessage): - message_text = f"{ai_prompt} {content}" - elif isinstance(message, SystemPromptMessage | ToolPromptMessage): - message_text = f"{human_prompt} {content}" - else: - raise ValueError(f"Got unknown type {message}") - - return message_text - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [], - InvokeRateLimitError: [], - InvokeAuthorizationError: [], - InvokeBadRequestError: [], - } diff --git a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml deleted file mode 100644 index 0917fe19a29a4f..00000000000000 --- a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3-70b-instruct.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: meta.llama-3-70b-instruct -label: - zh_Hans: meta.llama-3-70b-instruct - en_US: meta.llama-3-70b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 1 - max: 2.0 - - name: topP - use_template: top_p - default: 0.75 - min: 0 - max: 1 - - name: topK - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presencePenalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 - - name: frequencyPenalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: maxTokens - use_template: max_tokens - default: 600 - max: 8000 -pricing: - input: '0.015' - output: '0.015' - unit: '0.0001' - currency: USD -deprecated: true diff --git a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml deleted file mode 100644 index 2cf5666f89972e..00000000000000 --- a/api/core/model_runtime/model_providers/oci/llm/meta.llama-3.1-70b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: meta.llama-3.1-70b-instruct -label: - zh_Hans: meta.llama-3.1-70b-instruct - en_US: meta.llama-3.1-70b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 1 - max: 2.0 - - name: topP - use_template: top_p - default: 0.75 - min: 0 - max: 1 - - name: topK - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presencePenalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 - - name: frequencyPenalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: maxTokens - use_template: max_tokens - default: 600 - max: 4000 -pricing: - input: '0.0075' - output: '0.0075' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/oci.py b/api/core/model_runtime/model_providers/oci/oci.py deleted file mode 100644 index a3321cb9fdd993..00000000000000 --- a/api/core/model_runtime/model_providers/oci/oci.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class OCIGENAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `cohere.command-r-plus-08-2024` model for validate, - model_instance.validate_credentials(model="cohere.command-r-plus-08-2024", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/oci/oci.yaml b/api/core/model_runtime/model_providers/oci/oci.yaml deleted file mode 100644 index f2f23e18f12073..00000000000000 --- a/api/core/model_runtime/model_providers/oci/oci.yaml +++ /dev/null @@ -1,42 +0,0 @@ -provider: oci -label: - en_US: OCIGenerativeAI -description: - en_US: Models provided by OCI, such as Cohere Command R and Cohere Command R+. - zh_Hans: OCI 提供的模型，例如 Cohere Command R 和 Cohere Command R+。 -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#FFFFFF" -help: - title: - en_US: Get your API Key from OCI - zh_Hans: 从 OCI 获取 API Key - url: - en_US: https://docs.cloud.oracle.com/Content/API/Concepts/sdkconfig.htm -supported_model_types: - - llm - - text-embedding - #- rerank -configurate_methods: - - predefined-model - #- customizable-model -provider_credential_schema: - credential_form_schemas: - - variable: oci_config_content - label: - en_US: oci api key config file's content - type: text-input - required: true - placeholder: - zh_Hans: 在此输入您的 oci api key config 文件的内容(base64.b64encode("user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid".encode('utf-8')) ) - en_US: Enter your oci api key config file's content(base64.b64encode("user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid".encode('utf-8')) ) - - variable: oci_key_content - label: - en_US: oci api key file's content - type: text-input - required: true - placeholder: - zh_Hans: 在此输入您的 oci api key 文件的内容(base64.b64encode("pem file content".encode('utf-8'))) - en_US: Enter your oci api key file's content(base64.b64encode("pem file content".encode('utf-8'))) diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/__init__.py b/api/core/model_runtime/model_providers/oci/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/_position.yaml deleted file mode 100644 index 149f1e3797850f..00000000000000 --- a/api/core/model_runtime/model_providers/oci/text_embedding/_position.yaml +++ /dev/null @@ -1,5 +0,0 @@ -- cohere.embed-english-light-v2.0 -- cohere.embed-english-light-v3.0 -- cohere.embed-english-v3.0 -- cohere.embed-multilingual-light-v3.0 -- cohere.embed-multilingual-v3.0 diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v2.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v2.0.yaml deleted file mode 100644 index 259d5b45b7a2f1..00000000000000 --- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v2.0.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: cohere.embed-english-light-v2.0 -model_type: text-embedding -model_properties: - context_size: 1024 - max_chunks: 48 -pricing: - input: '0.001' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v3.0.yaml deleted file mode 100644 index 065e7474c0bb97..00000000000000 --- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-light-v3.0.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: cohere.embed-english-light-v3.0 -model_type: text-embedding -model_properties: - context_size: 384 - max_chunks: 48 -pricing: - input: '0.001' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-v3.0.yaml deleted file mode 100644 index 3e2deea16a1d0b..00000000000000 --- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-english-v3.0.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: cohere.embed-english-v3.0 -model_type: text-embedding -model_properties: - context_size: 1024 - max_chunks: 48 -pricing: - input: '0.001' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-light-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-light-v3.0.yaml deleted file mode 100644 index 0d2b892c64290e..00000000000000 --- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-light-v3.0.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: cohere.embed-multilingual-light-v3.0 -model_type: text-embedding -model_properties: - context_size: 384 - max_chunks: 48 -pricing: - input: '0.001' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-v3.0.yaml b/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-v3.0.yaml deleted file mode 100644 index 9ebe260b32875b..00000000000000 --- a/api/core/model_runtime/model_providers/oci/text_embedding/cohere.embed-multilingual-v3.0.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: cohere.embed-multilingual-v3.0 -model_type: text-embedding -model_properties: - context_size: 1024 - max_chunks: 48 -pricing: - input: '0.001' - unit: '0.0001' - currency: USD diff --git a/api/core/model_runtime/model_providers/oci/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/oci/text_embedding/text_embedding.py deleted file mode 100644 index 5a428c9fed0466..00000000000000 --- a/api/core/model_runtime/model_providers/oci/text_embedding/text_embedding.py +++ /dev/null @@ -1,224 +0,0 @@ -import base64 -import copy -import time -from typing import Optional - -import numpy as np -import oci # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - -request_template = { - "compartmentId": "", - "servingMode": {"modelId": "cohere.embed-english-light-v3.0", "servingType": "ON_DEMAND"}, - "truncate": "NONE", - "inputs": [""], -} -oci_config_template = { - "user": "", - "fingerprint": "", - "tenancy": "", - "region": "", - "compartment_id": "", - "key_content": "", -} - - -class OCITextEmbeddingModel(TextEmbeddingModel): - """ - Model class for Cohere text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - # get model properties - context_size = self._get_context_size(model, credentials) - max_chunks = self._get_max_chunks(model, credentials) - - inputs = [] - indices = [] - used_tokens = 0 - - for i, text in enumerate(texts): - # Here token count is only an approximation based on the GPT2 tokenizer - num_tokens = self._get_num_tokens_by_gpt2(text) - - if num_tokens >= context_size: - cutoff = int(len(text) * (np.floor(context_size / num_tokens))) - # if num tokens is larger than context length, only use the start - inputs.append(text[0:cutoff]) - else: - inputs.append(text) - indices += [i] - - batched_embeddings = [] - _iter = range(0, len(inputs), max_chunks) - - for i in _iter: - # call embedding model - embeddings_batch, embedding_used_tokens = self._embedding_invoke( - model=model, credentials=credentials, texts=inputs[i : i + max_chunks] - ) - - used_tokens += embedding_used_tokens - batched_embeddings += embeddings_batch - - # calc usage - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens) - - return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - return sum(self._get_num_tokens_by_gpt2(text) for text in texts) - - def get_num_characters(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - characters = 0 - for text in texts: - characters += len(text) - return characters - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # call embedding model - self._embedding_invoke(model=model, credentials=credentials, texts=["ping"]) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _embedding_invoke(self, model: str, credentials: dict, texts: list[str]) -> tuple[list[list[float]], int]: - """ - Invoke embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: embeddings and used tokens - """ - - # oci - # initialize client - oci_config = copy.deepcopy(oci_config_template) - if "oci_config_content" in credentials: - oci_config_content = base64.b64decode(credentials.get("oci_config_content")).decode("utf-8") - config_items = oci_config_content.split("/") - if len(config_items) != 5: - raise CredentialsValidateFailedError( - "oci_config_content should be base64.b64encode(" - "'user_ocid/fingerprint/tenancy_ocid/region/compartment_ocid'.encode('utf-8'))" - ) - oci_config["user"] = config_items[0] - oci_config["fingerprint"] = config_items[1] - oci_config["tenancy"] = config_items[2] - oci_config["region"] = config_items[3] - oci_config["compartment_id"] = config_items[4] - else: - raise CredentialsValidateFailedError("need to set oci_config_content in credentials ") - if "oci_key_content" in credentials: - oci_key_content = base64.b64decode(credentials.get("oci_key_content")).decode("utf-8") - oci_config["key_content"] = oci_key_content.encode(encoding="utf-8") - else: - raise CredentialsValidateFailedError("need to set oci_config_content in credentials ") - # oci_config = oci.config.from_file('~/.oci/config', credentials.get('oci_api_profile')) - compartment_id = oci_config["compartment_id"] - client = oci.generative_ai_inference.GenerativeAiInferenceClient(config=oci_config) - # call embedding model - request_args = copy.deepcopy(request_template) - request_args["compartmentId"] = compartment_id - request_args["servingMode"]["modelId"] = model - request_args["inputs"] = texts - response = client.embed_text(request_args) - return response.data.embeddings, self.get_num_characters(model=model, credentials=credentials, texts=texts) - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError], - } diff --git a/api/core/model_runtime/model_providers/ollama/__init__.py b/api/core/model_runtime/model_providers/ollama/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/ollama/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/ollama/_assets/icon_l_en.svg deleted file mode 100644 index 39d8a1ece60a10..00000000000000 --- a/api/core/model_runtime/model_providers/ollama/_assets/icon_l_en.svg +++ /dev/null @@ -1,15 +0,0 @@ - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/ollama/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/ollama/_assets/icon_s_en.svg deleted file mode 100644 index f8482a96b99cbc..00000000000000 --- a/api/core/model_runtime/model_providers/ollama/_assets/icon_s_en.svg +++ /dev/null @@ -1,15 +0,0 @@ - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/ollama/llm/__init__.py b/api/core/model_runtime/model_providers/ollama/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/ollama/llm/llm.py b/api/core/model_runtime/model_providers/ollama/llm/llm.py deleted file mode 100644 index 3ae728d4b36985..00000000000000 --- a/api/core/model_runtime/model_providers/ollama/llm/llm.py +++ /dev/null @@ -1,786 +0,0 @@ -import json -import logging -import re -from collections.abc import Generator -from decimal import Decimal -from typing import Optional, Union, cast -from urllib.parse import urljoin - -import requests - -from core.model_runtime.entities.llm_entities import ( - LLMMode, - LLMResult, - LLMResultChunk, - LLMResultChunkDelta, -) -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - DefaultParameterName, - FetchFrom, - I18nObject, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, - PriceConfig, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import ( - LargeLanguageModel, -) - -logger = logging.getLogger(__name__) - - -class OllamaLargeLanguageModel(LargeLanguageModel): - """ - Model class for Ollama large language model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - return self._generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: - """ - # get model mode - model_mode = self.get_model_mode(model, credentials) - - if model_mode == LLMMode.CHAT: - # chat model - return self._num_tokens_from_messages(prompt_messages) - else: - first_prompt_message = prompt_messages[0] - if isinstance(first_prompt_message.content, str): - text = first_prompt_message.content - else: - text = "" - for message_content in first_prompt_message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - text = message_content.data - break - return self._get_num_tokens_by_gpt2(text) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._generate( - model=model, - credentials=credentials, - prompt_messages=[UserPromptMessage(content="ping")], - model_parameters={"num_predict": 5}, - stream=False, - ) - except InvokeError as ex: - raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {ex.description}") - except Exception as ex: - raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}") - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke llm completion model - - :param model: model name - :param credentials: credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - headers = {"Content-Type": "application/json"} - - endpoint_url = credentials["base_url"] - if not endpoint_url.endswith("/"): - endpoint_url += "/" - - # prepare the payload for a simple ping to the model - data = {"model": model, "stream": stream} - - if format_schema := model_parameters.pop("format", None): - try: - data["format"] = format_schema if format_schema == "json" else json.loads(format_schema) - except json.JSONDecodeError as e: - raise InvokeBadRequestError(f"Invalid format schema: {str(e)}") - - if "keep_alive" in model_parameters: - data["keep_alive"] = model_parameters["keep_alive"] - del model_parameters["keep_alive"] - - data["options"] = model_parameters or {} - - if stop: - data["options"]["stop"] = stop - - completion_type = LLMMode.value_of(credentials["mode"]) - - if completion_type is LLMMode.CHAT: - endpoint_url = urljoin(endpoint_url, "api/chat") - data["messages"] = [self._convert_prompt_message_to_dict(m) for m in prompt_messages] - if tools: - data["tools"] = [self._convert_prompt_message_tool_to_dict(tool) for tool in tools] - else: - endpoint_url = urljoin(endpoint_url, "api/generate") - first_prompt_message = prompt_messages[0] - if isinstance(first_prompt_message, UserPromptMessage): - first_prompt_message = cast(UserPromptMessage, first_prompt_message) - if isinstance(first_prompt_message.content, str): - data["prompt"] = first_prompt_message.content - else: - text = "" - images = [] - for message_content in first_prompt_message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - text = message_content.data - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - image_data = re.sub( - r"^data:image\/[a-zA-Z]+;base64,", - "", - message_content.data, - ) - images.append(image_data) - - data["prompt"] = text - data["images"] = images - - # send a post request to validate the credentials - response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300), stream=stream) - - response.encoding = "utf-8" - if response.status_code != 200: - raise InvokeError(f"API request failed with status code {response.status_code}: {response.text}") - - if stream: - return self._handle_generate_stream_response(model, credentials, completion_type, response, prompt_messages) - - return self._handle_generate_response(model, credentials, completion_type, response, prompt_messages, tools) - - def _handle_generate_response( - self, - model: str, - credentials: dict, - completion_type: LLMMode, - response: requests.Response, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]], - ) -> LLMResult: - """ - Handle llm completion response - - :param model: model name - :param credentials: model credentials - :param completion_type: completion type - :param response: response - :param prompt_messages: prompt messages - :return: llm result - """ - response_json = response.json() - tool_calls = [] - if completion_type is LLMMode.CHAT: - message = response_json.get("message", {}) - response_content = message.get("content", "") - response_tool_calls = message.get("tool_calls", []) - tool_calls = [self._extract_response_tool_call(tool_call) for tool_call in response_tool_calls] - else: - response_content = response_json["response"] - - assistant_message = AssistantPromptMessage(content=response_content, tool_calls=tool_calls) - - if "prompt_eval_count" in response_json and "eval_count" in response_json: - # transform usage - prompt_tokens = response_json["prompt_eval_count"] - completion_tokens = response_json["eval_count"] - else: - # calculate num tokens - prompt_tokens = self._get_num_tokens_by_gpt2(prompt_messages[0].content) - completion_tokens = self._get_num_tokens_by_gpt2(assistant_message.content) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - result = LLMResult( - model=response_json["model"], - prompt_messages=prompt_messages, - message=assistant_message, - usage=usage, - ) - - return result - - def _handle_generate_stream_response( - self, - model: str, - credentials: dict, - completion_type: LLMMode, - response: requests.Response, - prompt_messages: list[PromptMessage], - ) -> Generator: - """ - Handle llm completion stream response - - :param model: model name - :param credentials: model credentials - :param completion_type: completion type - :param response: response - :param prompt_messages: prompt messages - :return: llm response chunk generator result - """ - full_text = "" - chunk_index = 0 - - def create_final_llm_result_chunk( - index: int, message: AssistantPromptMessage, finish_reason: str - ) -> LLMResultChunk: - # calculate num tokens - prompt_tokens = self._get_num_tokens_by_gpt2(prompt_messages[0].content) - completion_tokens = self._get_num_tokens_by_gpt2(full_text) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - return LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index, - message=message, - finish_reason=finish_reason, - usage=usage, - ), - ) - - for chunk in response.iter_lines(decode_unicode=True, delimiter="\n"): - if not chunk: - continue - - try: - chunk_json = json.loads(chunk) - # stream ended - except json.JSONDecodeError as e: - yield create_final_llm_result_chunk( - index=chunk_index, - message=AssistantPromptMessage(content=""), - finish_reason="Non-JSON encountered.", - ) - - chunk_index += 1 - break - - if completion_type is LLMMode.CHAT: - if not chunk_json: - continue - - if "message" not in chunk_json: - text = "" - else: - text = chunk_json.get("message").get("content", "") - else: - if not chunk_json: - continue - - # transform assistant message to prompt message - text = chunk_json["response"] - - assistant_prompt_message = AssistantPromptMessage(content=text) - - full_text += text - - if chunk_json["done"]: - # calculate num tokens - if "prompt_eval_count" in chunk_json: - prompt_tokens = chunk_json["prompt_eval_count"] - else: - prompt_message_content = prompt_messages[0].content - if isinstance(prompt_message_content, str): - prompt_tokens = self._get_num_tokens_by_gpt2(prompt_message_content) - else: - content_text = "" - for message_content in prompt_message_content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - content_text += message_content.data - prompt_tokens = self._get_num_tokens_by_gpt2(content_text) - - completion_tokens = chunk_json.get("eval_count", self._get_num_tokens_by_gpt2(full_text)) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - yield LLMResultChunk( - model=chunk_json["model"], - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=assistant_prompt_message, - finish_reason="stop", - usage=usage, - ), - ) - else: - yield LLMResultChunk( - model=chunk_json["model"], - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=assistant_prompt_message, - ), - ) - - chunk_index += 1 - - def _convert_prompt_message_tool_to_dict(self, tool: PromptMessageTool) -> dict: - """ - Convert PromptMessageTool to dict for Ollama API - - :param tool: tool - :return: tool dict - """ - return { - "type": "function", - "function": { - "name": tool.name, - "description": tool.description, - "parameters": tool.parameters, - }, - } - - def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict for Ollama API - - :param message: prompt message - :return: message dict - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - text = "" - images = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - text = message_content.data - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - image_data = re.sub(r"^data:image\/[a-zA-Z]+;base64,", "", message_content.data) - images.append(image_data) - - message_dict = {"role": "user", "content": text, "images": images} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - message_dict = {"role": "tool", "content": message.content} - else: - raise ValueError(f"Got unknown type {message}") - - return message_dict - - def _num_tokens_from_messages(self, messages: list[PromptMessage]) -> int: - """ - Calculate num tokens. - - :param messages: messages - """ - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - for key, value in message.items(): - num_tokens += self._get_num_tokens_by_gpt2(str(key)) - num_tokens += self._get_num_tokens_by_gpt2(str(value)) - - return num_tokens - - def _extract_response_tool_call(self, response_tool_call: dict) -> AssistantPromptMessage.ToolCall: - """ - Extract response tool call - """ - tool_call = None - if response_tool_call and "function" in response_tool_call: - # Convert arguments to JSON string if it's a dict - arguments = response_tool_call.get("function").get("arguments") - if isinstance(arguments, dict): - arguments = json.dumps(arguments) - - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call.get("function").get("name"), - arguments=arguments, - ) - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call.get("function").get("name"), - type="function", - function=function, - ) - - return tool_call - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - Get customizable model schema. - - :param model: model name - :param credentials: credentials - - :return: model schema - """ - extras = { - "features": [], - } - - if "vision_support" in credentials and credentials["vision_support"] == "true": - extras["features"].append(ModelFeature.VISION) - if "function_call_support" in credentials and credentials["function_call_support"] == "true": - extras["features"].append(ModelFeature.TOOL_CALL) - extras["features"].append(ModelFeature.MULTI_TOOL_CALL) - - entity = AIModelEntity( - model=model, - label=I18nObject(zh_Hans=model, en_US=model), - model_type=ModelType.LLM, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.MODE: credentials.get("mode"), - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 4096)), - }, - parameter_rules=[ - ParameterRule( - name=DefaultParameterName.TEMPERATURE.value, - use_template=DefaultParameterName.TEMPERATURE.value, - label=I18nObject(en_US="Temperature", zh_Hans="温度"), - type=ParameterType.FLOAT, - help=I18nObject( - en_US="The temperature of the model. " - "Increasing the temperature will make the model answer " - "more creatively. (Default: 0.8)", - zh_Hans="模型的温度。增加温度将使模型的回答更具创造性。（默认值：0.8）", - ), - default=0.1, - min=0, - max=1, - ), - ParameterRule( - name=DefaultParameterName.TOP_P.value, - use_template=DefaultParameterName.TOP_P.value, - label=I18nObject(en_US="Top P", zh_Hans="Top P"), - type=ParameterType.FLOAT, - help=I18nObject( - en_US="Works together with top-k. A higher value (e.g., 0.95) will lead to " - "more diverse text, while a lower value (e.g., 0.5) will generate more " - "focused and conservative text. (Default: 0.9)", - zh_Hans="与top-k一起工作。较高的值（例如，0.95）会导致生成更多样化的文本，而较低的值（例如，0.5）会生成更专注和保守的文本。（默认值：0.9）", - ), - default=0.9, - min=0, - max=1, - ), - ParameterRule( - name="top_k", - label=I18nObject(en_US="Top K", zh_Hans="Top K"), - type=ParameterType.INT, - help=I18nObject( - en_US="Reduces the probability of generating nonsense. " - "A higher value (e.g. 100) will give more diverse answers, " - "while a lower value (e.g. 10) will be more conservative. (Default: 40)", - zh_Hans="减少生成无意义内容的可能性。较高的值（例如100）将提供更多样化的答案，而较低的值（例如10）将更为保守。（默认值：40）", - ), - min=1, - max=100, - ), - ParameterRule( - name="repeat_penalty", - label=I18nObject(en_US="Repeat Penalty"), - type=ParameterType.FLOAT, - help=I18nObject( - en_US="Sets how strongly to penalize repetitions. " - "A higher value (e.g., 1.5) will penalize repetitions more strongly, " - "while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1)", - zh_Hans="设置对重复内容的惩罚强度。一个较高的值（例如，1.5）会更强地惩罚重复内容，而一个较低的值（例如，0.9）则会相对宽容。（默认值：1.1）", - ), - min=-2, - max=2, - ), - ParameterRule( - name="num_predict", - use_template="max_tokens", - label=I18nObject(en_US="Num Predict", zh_Hans="最大令牌数预测"), - type=ParameterType.INT, - help=I18nObject( - en_US="Maximum number of tokens to predict when generating text. " - "(Default: 128, -1 = infinite generation, -2 = fill context)", - zh_Hans="生成文本时预测的最大令牌数。（默认值：128，-1 = 无限生成，-2 = 填充上下文）", - ), - default=(512 if int(credentials.get("max_tokens", 4096)) >= 768 else 128), - min=-2, - max=int(credentials.get("max_tokens", 4096)), - ), - ParameterRule( - name="mirostat", - label=I18nObject(en_US="Mirostat sampling", zh_Hans="Mirostat 采样"), - type=ParameterType.INT, - help=I18nObject( - en_US="Enable Mirostat sampling for controlling perplexity. " - "(default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)", - zh_Hans="启用 Mirostat 采样以控制困惑度。" - "（默认值：0，0 = 禁用，1 = Mirostat，2 = Mirostat 2.0）", - ), - min=0, - max=2, - ), - ParameterRule( - name="mirostat_eta", - label=I18nObject(en_US="Mirostat Eta", zh_Hans="学习率"), - type=ParameterType.FLOAT, - help=I18nObject( - en_US="Influences how quickly the algorithm responds to feedback from " - "the generated text. A lower learning rate will result in slower adjustments, " - "while a higher learning rate will make the algorithm more responsive. " - "(Default: 0.1)", - zh_Hans="影响算法对生成文本反馈响应的速度。较低的学习率会导致调整速度变慢，而较高的学习率会使得算法更加灵敏。（默认值：0.1）", - ), - precision=1, - ), - ParameterRule( - name="mirostat_tau", - label=I18nObject(en_US="Mirostat Tau", zh_Hans="文本连贯度"), - type=ParameterType.FLOAT, - help=I18nObject( - en_US="Controls the balance between coherence and diversity of the output. " - "A lower value will result in more focused and coherent text. (Default: 5.0)", - zh_Hans="控制输出的连贯性和多样性之间的平衡。较低的值会导致更专注和连贯的文本。（默认值：5.0）", - ), - precision=1, - ), - ParameterRule( - name="num_ctx", - label=I18nObject(en_US="Size of context window", zh_Hans="上下文窗口大小"), - type=ParameterType.INT, - help=I18nObject( - en_US="Sets the size of the context window used to generate the next token. (Default: 2048)", - zh_Hans="设置用于生成下一个标记的上下文窗口大小。（默认值：2048）", - ), - default=2048, - min=1, - ), - ParameterRule( - name="num_gpu", - label=I18nObject(en_US="GPU Layers", zh_Hans="GPU 层数"), - type=ParameterType.INT, - help=I18nObject( - en_US="The number of layers to offload to the GPU(s). " - "On macOS it defaults to 1 to enable metal support, 0 to disable." - "As long as a model fits into one gpu it stays in one. " - "It does not set the number of GPU(s). ", - zh_Hans="加载到 GPU 的层数。在 macOS 上，默认为 1 以启用 Metal 支持，设置为 0 则禁用。" - "只要模型适合一个 GPU，它就保留在其中。它不设置 GPU 的数量。", - ), - min=-1, - default=1, - ), - ParameterRule( - name="num_thread", - label=I18nObject(en_US="Num Thread", zh_Hans="线程数"), - type=ParameterType.INT, - help=I18nObject( - en_US="Sets the number of threads to use during computation. " - "By default, Ollama will detect this for optimal performance. " - "It is recommended to set this value to the number of physical CPU cores " - "your system has (as opposed to the logical number of cores).", - zh_Hans="设置计算过程中使用的线程数。默认情况下，Ollama会检测以获得最佳性能。建议将此值设置为系统拥有的物理CPU核心数（而不是逻辑核心数）。", - ), - min=1, - ), - ParameterRule( - name="repeat_last_n", - label=I18nObject(en_US="Repeat last N", zh_Hans="回溯内容"), - type=ParameterType.INT, - help=I18nObject( - en_US="Sets how far back for the model to look back to prevent repetition. " - "(Default: 64, 0 = disabled, -1 = num_ctx)", - zh_Hans="设置模型回溯多远的内容以防止重复。（默认值：64，0 = 禁用，-1 = num_ctx）", - ), - min=-1, - ), - ParameterRule( - name="tfs_z", - label=I18nObject(en_US="TFS Z", zh_Hans="减少标记影响"), - type=ParameterType.FLOAT, - help=I18nObject( - en_US="Tail free sampling is used to reduce the impact of less probable tokens " - "from the output. A higher value (e.g., 2.0) will reduce the impact more, " - "while a value of 1.0 disables this setting. (default: 1)", - zh_Hans="用于减少输出中不太可能的标记的影响。较高的值（例如，2.0）会更多地减少这种影响，而1.0的值则会禁用此设置。（默认值：1）", - ), - precision=1, - ), - ParameterRule( - name="seed", - label=I18nObject(en_US="Seed", zh_Hans="随机数种子"), - type=ParameterType.INT, - help=I18nObject( - en_US="Sets the random number seed to use for generation. Setting this to " - "a specific number will make the model generate the same text for " - "the same prompt. (Default: 0)", - zh_Hans="设置用于生成的随机数种子。将此设置为特定数字将使模型对相同的提示生成相同的文本。（默认值：0）", - ), - ), - ParameterRule( - name="keep_alive", - label=I18nObject(en_US="Keep Alive", zh_Hans="模型存活时间"), - type=ParameterType.STRING, - help=I18nObject( - en_US="Sets how long the model is kept in memory after generating a response. " - "This must be a duration string with a unit (e.g., '10m' for 10 minutes or '24h' for 24 hours)." - " A negative number keeps the model loaded indefinitely, and '0' unloads the model" - " immediately after generating a response." - " Valid time units are 's','m','h'. (Default: 5m)", - zh_Hans="设置模型在生成响应后在内存中保留的时间。" - "这必须是一个带有单位的持续时间字符串（例如，'10m' 表示10分钟，'24h' 表示24小时）。" - "负数表示无限期地保留模型，'0'表示在生成响应后立即卸载模型。" - "有效的时间单位有 's'（秒）、'm'（分钟）、'h'（小时）。（默认值：5m）", - ), - ), - ParameterRule( - name="format", - label=I18nObject(en_US="Format", zh_Hans="返回格式"), - type=ParameterType.TEXT, - default="json", - help=I18nObject( - en_US="the format to return a response in. Format can be `json` or a JSON schema.", - zh_Hans="返回响应的格式。目前接受的值是字符串`json`或JSON schema.", - ), - ), - ], - pricing=PriceConfig( - input=Decimal(credentials.get("input_price", 0)), - output=Decimal(credentials.get("output_price", 0)), - unit=Decimal(credentials.get("unit", 0)), - currency=credentials.get("currency", "USD"), - ), - **extras, - ) - - return entity - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeAuthorizationError: [ - requests.exceptions.InvalidHeader, # Missing or Invalid API Key - ], - InvokeBadRequestError: [ - requests.exceptions.HTTPError, # Invalid Endpoint URL or model name - requests.exceptions.InvalidURL, # Misconfigured request or other API error - ], - InvokeRateLimitError: [ - requests.exceptions.RetryError # Too many requests sent in a short period of time - ], - InvokeServerUnavailableError: [ - requests.exceptions.ConnectionError, # Engine Overloaded - requests.exceptions.HTTPError, # Server Error - ], - InvokeConnectionError: [ - requests.exceptions.ConnectTimeout, # Timeout - requests.exceptions.ReadTimeout, # Timeout - ], - } diff --git a/api/core/model_runtime/model_providers/ollama/ollama.py b/api/core/model_runtime/model_providers/ollama/ollama.py deleted file mode 100644 index 115280193a5ed6..00000000000000 --- a/api/core/model_runtime/model_providers/ollama/ollama.py +++ /dev/null @@ -1,16 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class OpenAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - pass diff --git a/api/core/model_runtime/model_providers/ollama/ollama.yaml b/api/core/model_runtime/model_providers/ollama/ollama.yaml deleted file mode 100644 index 6560fcd180d302..00000000000000 --- a/api/core/model_runtime/model_providers/ollama/ollama.yaml +++ /dev/null @@ -1,117 +0,0 @@ -provider: ollama -label: - en_US: Ollama -icon_large: - en_US: icon_l_en.svg -icon_small: - en_US: icon_s_en.svg -background: "#F9FAFB" -help: - title: - en_US: How to integrate with Ollama - zh_Hans: 如何集成 Ollama - url: - en_US: https://docs.dify.ai/tutorials/model-configuration/ollama -supported_model_types: - - llm - - text-embedding -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: base_url - label: - zh_Hans: 基础 URL - en_US: Base URL - type: text-input - required: true - placeholder: - zh_Hans: Ollama server 的基础 URL，例如 http://192.168.1.100:11434 - en_US: Base url of Ollama server, e.g. http://192.168.1.100:11434 - - variable: mode - show_on: - - variable: __model_type - value: llm - label: - zh_Hans: 模型类型 - en_US: Completion mode - type: select - required: true - default: chat - placeholder: - zh_Hans: 选择对话类型 - en_US: Select completion mode - options: - - value: completion - label: - en_US: Completion - zh_Hans: 补全 - - value: chat - label: - en_US: Chat - zh_Hans: 对话 - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '4096' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - show_on: - - variable: __model_type - value: llm - default: '4096' - type: text-input - required: true - - variable: vision_support - label: - zh_Hans: 是否支持 Vision - en_US: Vision support - show_on: - - variable: __model_type - value: llm - default: 'false' - type: radio - required: false - options: - - value: 'true' - label: - en_US: 'Yes' - zh_Hans: 是 - - value: 'false' - label: - en_US: 'No' - zh_Hans: 否 - - variable: function_call_support - label: - zh_Hans: 是否支持函数调用 - en_US: Function call support - show_on: - - variable: __model_type - value: llm - default: 'false' - type: radio - required: false - options: - - value: 'true' - label: - en_US: 'Yes' - zh_Hans: 是 - - value: 'false' - label: - en_US: 'No' - zh_Hans: 否 diff --git a/api/core/model_runtime/model_providers/ollama/text_embedding/__init__.py b/api/core/model_runtime/model_providers/ollama/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/ollama/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/ollama/text_embedding/text_embedding.py deleted file mode 100644 index 3543fe58bb68d2..00000000000000 --- a/api/core/model_runtime/model_providers/ollama/text_embedding/text_embedding.py +++ /dev/null @@ -1,212 +0,0 @@ -import json -import logging -import time -from decimal import Decimal -from typing import Optional -from urllib.parse import urljoin - -import numpy as np -import requests - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - PriceConfig, - PriceType, -) -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - -logger = logging.getLogger(__name__) - - -class OllamaEmbeddingModel(TextEmbeddingModel): - """ - Model class for an Ollama text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - - # Prepare headers and payload for the request - headers = {"Content-Type": "application/json"} - - endpoint_url = credentials.get("base_url") - assert endpoint_url is not None, "Base URL is required for Ollama API" - if not endpoint_url.endswith("/"): - endpoint_url += "/" - - endpoint_url = urljoin(endpoint_url, "api/embed") - - # get model properties - context_size = self._get_context_size(model, credentials) - - inputs = [] - used_tokens = 0 - - for text in texts: - # Here token count is only an approximation based on the GPT2 tokenizer - num_tokens = self._get_num_tokens_by_gpt2(text) - - if num_tokens >= context_size: - cutoff = int(np.floor(len(text) * (context_size / num_tokens))) - # if num tokens is larger than context length, only use the start - inputs.append(text[0:cutoff]) - else: - inputs.append(text) - - # Prepare the payload for the request - payload = {"input": inputs, "model": model, "options": {"use_mmap": True}} - - # Make the request to the Ollama API - response = requests.post(endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300)) - - response.raise_for_status() # Raise an exception for HTTP errors - response_data = response.json() - - # Extract embeddings and used tokens from the response - embeddings = response_data["embeddings"] - embedding_used_tokens = self.get_num_tokens(model, credentials, inputs) - - used_tokens += embedding_used_tokens - - # calc usage - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens) - - return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Approximate number of tokens for given messages using GPT2 tokenizer - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - return sum(self._get_num_tokens_by_gpt2(text) for text in texts) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except InvokeError as ex: - raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {ex.description}") - except Exception as ex: - raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}") - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)), - ModelPropertyKey.MAX_CHUNKS: 1, - }, - parameter_rules=[], - pricing=PriceConfig( - input=Decimal(credentials.get("input_price", 0)), - unit=Decimal(credentials.get("unit", 0)), - currency=credentials.get("currency", "USD"), - ), - ) - - return entity - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeAuthorizationError: [ - requests.exceptions.InvalidHeader, # Missing or Invalid API Key - ], - InvokeBadRequestError: [ - requests.exceptions.HTTPError, # Invalid Endpoint URL or model name - requests.exceptions.InvalidURL, # Misconfigured request or other API error - ], - InvokeRateLimitError: [ - requests.exceptions.RetryError # Too many requests sent in a short period of time - ], - InvokeServerUnavailableError: [ - requests.exceptions.ConnectionError, # Engine Overloaded - requests.exceptions.HTTPError, # Server Error - ], - InvokeConnectionError: [ - requests.exceptions.ConnectTimeout, # Timeout - requests.exceptions.ReadTimeout, # Timeout - ], - } diff --git a/api/core/model_runtime/model_providers/openai/__init__.py b/api/core/model_runtime/model_providers/openai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/openai/_assets/icon_l_en.svg deleted file mode 100644 index dae73f58d71908..00000000000000 --- a/api/core/model_runtime/model_providers/openai/_assets/icon_l_en.svg +++ /dev/null @@ -1,11 +0,0 @@ - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/openai/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/openai/_assets/icon_s_en.svg deleted file mode 100644 index 70686f9b3b58aa..00000000000000 --- a/api/core/model_runtime/model_providers/openai/_assets/icon_s_en.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - diff --git a/api/core/model_runtime/model_providers/openai/_common.py b/api/core/model_runtime/model_providers/openai/_common.py deleted file mode 100644 index ac2b3e6881c740..00000000000000 --- a/api/core/model_runtime/model_providers/openai/_common.py +++ /dev/null @@ -1,58 +0,0 @@ -import openai -from httpx import Timeout - -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) - - -class _CommonOpenAI: - def _to_credential_kwargs(self, credentials: dict) -> dict: - """ - Transform credentials to kwargs for model instance - - :param credentials: - :return: - """ - credentials_kwargs = { - "api_key": credentials["openai_api_key"], - "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0), - "max_retries": 1, - } - - if credentials.get("openai_api_base"): - openai_api_base = credentials["openai_api_base"].rstrip("/") - credentials_kwargs["base_url"] = openai_api_base + "/v1" - - if "openai_organization" in credentials: - credentials_kwargs["organization"] = credentials["openai_organization"] - - return credentials_kwargs - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError], - InvokeServerUnavailableError: [openai.InternalServerError], - InvokeRateLimitError: [openai.RateLimitError], - InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError], - InvokeBadRequestError: [ - openai.BadRequestError, - openai.NotFoundError, - openai.UnprocessableEntityError, - openai.APIError, - ], - } diff --git a/api/core/model_runtime/model_providers/openai/llm/__init__.py b/api/core/model_runtime/model_providers/openai/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai/llm/_position.yaml b/api/core/model_runtime/model_providers/openai/llm/_position.yaml deleted file mode 100644 index 0d3143c2aeb256..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/_position.yaml +++ /dev/null @@ -1,32 +0,0 @@ -- o1 -- o1-2024-12-17 -- o1-mini -- o1-mini-2024-09-12 -- o3-mini -- o3-mini-2025-01-31 -- gpt-4 -- gpt-4o -- gpt-4o-2024-05-13 -- gpt-4o-2024-08-06 -- gpt-4o-2024-11-20 -- chatgpt-4o-latest -- gpt-4o-mini -- gpt-4o-mini-2024-07-18 -- gpt-4-turbo -- gpt-4-turbo-2024-04-09 -- gpt-4-turbo-preview -- gpt-4-32k -- gpt-4-1106-preview -- gpt-4-0125-preview -- gpt-4-vision-preview -- gpt-3.5-turbo -- gpt-3.5-turbo-16k -- gpt-3.5-turbo-16k-0613 -- gpt-3.5-turbo-0125 -- gpt-3.5-turbo-1106 -- gpt-3.5-turbo-0613 -- gpt-3.5-turbo-instruct -- gpt-4o-audio-preview -- o1-preview -- o1-preview-2024-09-12 -- text-davinci-003 diff --git a/api/core/model_runtime/model_providers/openai/llm/chatgpt-4o-latest.yaml b/api/core/model_runtime/model_providers/openai/llm/chatgpt-4o-latest.yaml deleted file mode 100644 index 19a5399a735fa9..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/chatgpt-4o-latest.yaml +++ /dev/null @@ -1,44 +0,0 @@ -model: chatgpt-4o-latest -label: - zh_Hans: chatgpt-4o-latest - en_US: chatgpt-4o-latest -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '2.50' - output: '10.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0125.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0125.yaml deleted file mode 100644 index ffa725ec40f4f5..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0125.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: gpt-3.5-turbo-0125 -label: - zh_Hans: gpt-3.5-turbo-0125 - en_US: gpt-3.5-turbo-0125 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 16385 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.0005' - output: '0.0015' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml deleted file mode 100644 index a1ad07d7129568..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-0613.yaml +++ /dev/null @@ -1,34 +0,0 @@ -model: gpt-3.5-turbo-0613 -label: - zh_Hans: gpt-3.5-turbo-0613 - en_US: gpt-3.5-turbo-0613 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: response_format - use_template: response_format -pricing: - input: '0.0015' - output: '0.002' - unit: '0.001' - currency: USD -deprecated: true diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml deleted file mode 100644 index 21150fc3a6df61..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-1106.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: gpt-3.5-turbo-1106 -label: - zh_Hans: gpt-3.5-turbo-1106 - en_US: gpt-3.5-turbo-1106 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 16385 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.001' - output: '0.002' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml deleted file mode 100644 index 4e302792842415..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k-0613.yaml +++ /dev/null @@ -1,34 +0,0 @@ -model: gpt-3.5-turbo-16k-0613 -label: - zh_Hans: gpt-3.5-turbo-16k-0613 - en_US: gpt-3.5-turbo-16k-0613 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 16385 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 16385 - - name: response_format - use_template: response_format -pricing: - input: '0.003' - output: '0.004' - unit: '0.001' - currency: USD -deprecated: true diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml deleted file mode 100644 index 3684c1945c7d29..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-16k.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: gpt-3.5-turbo-16k -label: - zh_Hans: gpt-3.5-turbo-16k - en_US: gpt-3.5-turbo-16k -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 16385 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 16385 - - name: response_format - use_template: response_format -pricing: - input: '0.003' - output: '0.004' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml deleted file mode 100644 index ad831539e09d1a..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo-instruct.yaml +++ /dev/null @@ -1,30 +0,0 @@ -model: gpt-3.5-turbo-instruct -label: - zh_Hans: gpt-3.5-turbo-instruct - en_US: gpt-3.5-turbo-instruct -model_type: llm -features: [ ] -model_properties: - mode: completion - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: response_format - use_template: response_format -pricing: - input: '0.0015' - output: '0.002' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml deleted file mode 100644 index d3a8ee535a9d16..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-3.5-turbo.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: gpt-3.5-turbo -label: - zh_Hans: gpt-3.5-turbo - en_US: gpt-3.5-turbo -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 16385 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.0005' - output: '0.0015' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-0125-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-0125-preview.yaml deleted file mode 100644 index ac4ec5840bd771..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-0125-preview.yaml +++ /dev/null @@ -1,56 +0,0 @@ -model: gpt-4-0125-preview -label: - zh_Hans: gpt-4-0125-preview - en_US: gpt-4-0125-preview -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.03' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml deleted file mode 100644 index d7752397701f9a..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-1106-preview.yaml +++ /dev/null @@ -1,56 +0,0 @@ -model: gpt-4-1106-preview -label: - zh_Hans: gpt-4-1106-preview - en_US: gpt-4-1106-preview -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.03' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml deleted file mode 100644 index 8358425e6d2909..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-32k.yaml +++ /dev/null @@ -1,56 +0,0 @@ -model: gpt-4-32k -label: - zh_Hans: gpt-4-32k - en_US: gpt-4-32k -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 32768 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.06' - output: '0.12' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-2024-04-09.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-2024-04-09.yaml deleted file mode 100644 index 0234499164abf4..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-2024-04-09.yaml +++ /dev/null @@ -1,57 +0,0 @@ -model: gpt-4-turbo-2024-04-09 -label: - zh_Hans: gpt-4-turbo-2024-04-09 - en_US: gpt-4-turbo-2024-04-09 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.03' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-preview.yaml deleted file mode 100644 index 8d29cf0c04a1df..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo-preview.yaml +++ /dev/null @@ -1,56 +0,0 @@ -model: gpt-4-turbo-preview -label: - zh_Hans: gpt-4-turbo-preview - en_US: gpt-4-turbo-preview -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.03' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo.yaml deleted file mode 100644 index b25ff6a81269fa..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-turbo.yaml +++ /dev/null @@ -1,57 +0,0 @@ -model: gpt-4-turbo -label: - zh_Hans: gpt-4-turbo - en_US: gpt-4-turbo -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.03' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml deleted file mode 100644 index 07037c66438dd2..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4-vision-preview.yaml +++ /dev/null @@ -1,54 +0,0 @@ -model: gpt-4-vision-preview -label: - zh_Hans: gpt-4-vision-preview - en_US: gpt-4-vision-preview -model_type: llm -features: - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.03' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml deleted file mode 100644 index f7b5138b7df366..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4.yaml +++ /dev/null @@ -1,56 +0,0 @@ -model: gpt-4 -label: - zh_Hans: gpt-4 - en_US: gpt-4 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 8192 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.03' - output: '0.06' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-05-13.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-05-13.yaml deleted file mode 100644 index 2c86ec9460719b..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-05-13.yaml +++ /dev/null @@ -1,44 +0,0 @@ -model: gpt-4o-2024-05-13 -label: - zh_Hans: gpt-4o-2024-05-13 - en_US: gpt-4o-2024-05-13 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '5.00' - output: '15.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-08-06.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-08-06.yaml deleted file mode 100644 index cabbe9871728b3..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-08-06.yaml +++ /dev/null @@ -1,47 +0,0 @@ -model: gpt-4o-2024-08-06 -label: - zh_Hans: gpt-4o-2024-08-06 - en_US: gpt-4o-2024-08-06 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object - - json_schema - - name: json_schema - use_template: json_schema -pricing: - input: '2.50' - output: '10.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-11-20.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-11-20.yaml deleted file mode 100644 index 2c7c1c6eb56d11..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-2024-11-20.yaml +++ /dev/null @@ -1,47 +0,0 @@ -model: gpt-4o-2024-11-20 -label: - zh_Hans: gpt-4o-2024-11-20 - en_US: gpt-4o-2024-11-20 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object - - json_schema - - name: json_schema - use_template: json_schema -pricing: - input: '2.50' - output: '10.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml deleted file mode 100644 index e707acc507cb57..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml +++ /dev/null @@ -1,44 +0,0 @@ -model: gpt-4o-audio-preview -label: - zh_Hans: gpt-4o-audio-preview - en_US: gpt-4o-audio-preview -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - audio -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '5.00' - output: '15.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml deleted file mode 100644 index 0c1b74c513469c..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini-2024-07-18.yaml +++ /dev/null @@ -1,47 +0,0 @@ -model: gpt-4o-mini-2024-07-18 -label: - zh_Hans: gpt-4o-mini-2024-07-18 - en_US: gpt-4o-mini-2024-07-18 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object - - json_schema - - name: json_schema - use_template: json_schema -pricing: - input: '0.15' - output: '0.60' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini.yaml deleted file mode 100644 index 0d52f06339ad45..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-mini.yaml +++ /dev/null @@ -1,47 +0,0 @@ -model: gpt-4o-mini -label: - zh_Hans: gpt-4o-mini - en_US: gpt-4o-mini -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object - - json_schema - - name: json_schema - use_template: json_schema -pricing: - input: '0.15' - output: '0.60' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/gpt-4o.yaml b/api/core/model_runtime/model_providers/openai/llm/gpt-4o.yaml deleted file mode 100644 index d6be36ad74188c..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o.yaml +++ /dev/null @@ -1,47 +0,0 @@ -model: gpt-4o -label: - zh_Hans: gpt-4o - en_US: gpt-4o -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 16384 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object - - json_schema - - name: json_schema - use_template: json_schema -pricing: - input: '2.50' - output: '10.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/llm.py b/api/core/model_runtime/model_providers/openai/llm/llm.py deleted file mode 100644 index e9d59a4ae4997a..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/llm.py +++ /dev/null @@ -1,1211 +0,0 @@ -import json -import logging -import re -from collections.abc import Generator -from typing import Any, Optional, Union, cast - -import tiktoken -from openai import OpenAI, Stream -from openai.types import Completion -from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall -from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, ChoiceDeltaToolCall -from openai.types.chat.chat_completion_message import FunctionCall - -from core.model_runtime.callbacks.base_callback import Callback -from core.model_runtime.entities import ( - AssistantPromptMessage, - AudioPromptMessageContent, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, I18nObject, ModelType, PriceConfig -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.openai._common import _CommonOpenAI - -logger = logging.getLogger(__name__) - -OPENAI_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object. -The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure -if you are not sure about the structure. - - -{{instructions}} - -""" # noqa: E501 - - -class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel): - """ - Model class for OpenAI large language model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # handle fine tune remote models - base_model = model - if model.startswith("ft:"): - base_model = model.split(":")[1] - - # get model mode - model_mode = self.get_model_mode(base_model, credentials) - - if model_mode == LLMMode.CHAT: - # chat model - return self._chat_generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - else: - # text completion model - return self._generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - stop=stop, - stream=stream, - user=user, - ) - - def _code_block_mode_wrapper( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - callbacks: Optional[list[Callback]] = None, - ) -> Union[LLMResult, Generator]: - """ - Code block mode wrapper for invoking large language model - """ - # handle fine tune remote models - base_model = model - if model.startswith("ft:"): - base_model = model.split(":")[1] - - # get model mode - model_mode = self.get_model_mode(base_model, credentials) - - # transform response format - if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}: - stop = stop or [] - if model_mode == LLMMode.CHAT: - # chat model - self._transform_chat_json_prompts( - model=base_model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - response_format=model_parameters["response_format"], - ) - else: - self._transform_completion_json_prompts( - model=base_model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - response_format=model_parameters["response_format"], - ) - model_parameters.pop("response_format") - - return self._invoke( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def _transform_chat_json_prompts( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - response_format: str = "JSON", - ) -> None: - """ - Transform json prompts - """ - if "```\n" not in stop: - stop.append("```\n") - if "\n```" not in stop: - stop.append("\n```") - - # check if there is a system message - if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage): - # override the system message - prompt_messages[0] = SystemPromptMessage( - content=OPENAI_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace( - "{{block}}", response_format - ) - ) - prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}\n")) - else: - # insert the system message - prompt_messages.insert( - 0, - SystemPromptMessage( - content=OPENAI_BLOCK_MODE_PROMPT.replace( - "{{instructions}}", f"Please output a valid {response_format} object." - ).replace("{{block}}", response_format) - ), - ) - prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}")) - - def _transform_completion_json_prompts( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - response_format: str = "JSON", - ) -> None: - """ - Transform json prompts - """ - if "```\n" not in stop: - stop.append("```\n") - if "\n```" not in stop: - stop.append("\n```") - - # override the last user message - user_message = None - for i in range(len(prompt_messages) - 1, -1, -1): - if isinstance(prompt_messages[i], UserPromptMessage): - user_message = prompt_messages[i] - break - - if user_message: - if prompt_messages[i].content[-11:] == "Assistant: ": - # now we are in the chat app, remove the last assistant message - prompt_messages[i].content = prompt_messages[i].content[:-11] - prompt_messages[i] = UserPromptMessage( - content=OPENAI_BLOCK_MODE_PROMPT.replace("{{instructions}}", user_message.content).replace( - "{{block}}", response_format - ) - ) - prompt_messages[i].content += f"Assistant:\n```{response_format}\n" - else: - prompt_messages[i] = UserPromptMessage( - content=OPENAI_BLOCK_MODE_PROMPT.replace("{{instructions}}", user_message.content).replace( - "{{block}}", response_format - ) - ) - prompt_messages[i].content += f"\n```{response_format}\n" - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: - """ - # handle fine tune remote models - if model.startswith("ft:"): - base_model = model.split(":")[1] - else: - base_model = model - - # get model mode - model_mode = self.get_model_mode(model) - - if model_mode == LLMMode.CHAT: - # chat model - return self._num_tokens_from_messages(base_model, prompt_messages, tools) - else: - # text completion model, do not support tool calling - return self._num_tokens_from_string(base_model, prompt_messages[0].content) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - - # handle fine tune remote models - base_model = model - # fine-tuned model name likes ft:gpt-3.5-turbo-0613:personal::xxxxx - if model.startswith("ft:"): - base_model = model.split(":")[1] - - # check if model exists - remote_models = self.remote_models(credentials) - remote_model_map = {model.model: model for model in remote_models} - if model not in remote_model_map: - raise CredentialsValidateFailedError(f"Fine-tuned model {model} not found") - - # get model mode - model_mode = self.get_model_mode(base_model, credentials) - - if model_mode == LLMMode.CHAT: - # chat model - client.chat.completions.create( - messages=[{"role": "user", "content": "ping"}], - model=model, - temperature=0, - max_tokens=20, - stream=False, - ) - else: - # text completion model - client.completions.create( - prompt="ping", - model=model, - temperature=0, - max_tokens=20, - stream=False, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def remote_models(self, credentials: dict) -> list[AIModelEntity]: - """ - Return remote models if credentials are provided. - - :param credentials: provider credentials - :return: - """ - - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - - # get all remote models - remote_models = client.models.list() - - fine_tune_models = [model for model in remote_models if model.id.startswith("ft:")] - - ai_model_entities = [] - for model in fine_tune_models: - base_model = model.id.split(":")[1] - - base_model_schema = None - for predefined_model in self.predefined_models(): - if predefined_model.model in base_model: - base_model_schema = predefined_model - break - - if not base_model_schema: - continue - - ai_model_entity = AIModelEntity( - model=model.id, - label=I18nObject(zh_Hans=model.id, en_US=model.id), - model_type=ModelType.LLM, - features=base_model_schema.features, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties=base_model_schema.model_properties, - parameter_rules=base_model_schema.parameter_rules, - pricing=PriceConfig(input=0.003, output=0.006, unit=0.001, currency="USD"), - ) - - ai_model_entities.append(ai_model_entity) - - return ai_model_entities - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke llm completion model - - :param model: model name - :param credentials: credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - - # init model client - client = OpenAI(**credentials_kwargs) - - extra_model_kwargs = {} - - if stop: - extra_model_kwargs["stop"] = stop - - if user: - extra_model_kwargs["user"] = user - - if stream: - extra_model_kwargs["stream_options"] = {"include_usage": True} - - # text completion model - response = client.completions.create( - prompt=prompt_messages[0].content, - model=model, - stream=stream, - **model_parameters, - **extra_model_kwargs, - ) - - if stream: - return self._handle_generate_stream_response(model, credentials, response, prompt_messages) - - return self._handle_generate_response(model, credentials, response, prompt_messages) - - def _handle_generate_response( - self, model: str, credentials: dict, response: Completion, prompt_messages: list[PromptMessage] - ) -> LLMResult: - """ - Handle llm completion response - - :param model: model name - :param credentials: model credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm result - """ - assistant_text = response.choices[0].text - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=assistant_text) - - # calculate num tokens - if response.usage: - # transform usage - prompt_tokens = response.usage.prompt_tokens - completion_tokens = response.usage.completion_tokens - else: - # calculate num tokens - prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content) - completion_tokens = self._num_tokens_from_string(model, assistant_text) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - result = LLMResult( - model=response.model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - system_fingerprint=response.system_fingerprint, - ) - - return result - - def _handle_generate_stream_response( - self, model: str, credentials: dict, response: Stream[Completion], prompt_messages: list[PromptMessage] - ) -> Generator: - """ - Handle llm completion stream response - - :param model: model name - :param credentials: model credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm response chunk generator result - """ - full_text = "" - prompt_tokens = 0 - completion_tokens = 0 - - final_chunk = LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=""), - ), - ) - - for chunk in response: - if len(chunk.choices) == 0: - if chunk.usage: - # calculate num tokens - prompt_tokens = chunk.usage.prompt_tokens - completion_tokens = chunk.usage.completion_tokens - continue - - delta = chunk.choices[0] - - if delta.finish_reason is None and (delta.text is None or delta.text == ""): - continue - - # transform assistant message to prompt message - text = delta.text or "" - assistant_prompt_message = AssistantPromptMessage(content=text) - - full_text += text - - if delta.finish_reason is not None: - final_chunk = LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - finish_reason=delta.finish_reason, - ), - ) - else: - yield LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - ), - ) - - if not prompt_tokens: - prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content) - - if not completion_tokens: - completion_tokens = self._num_tokens_from_string(model, full_text) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - final_chunk.delta.usage = usage - - yield final_chunk - - def _chat_generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke llm chat model - - :param model: model name - :param credentials: credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - - # init model client - client = OpenAI(**credentials_kwargs) - - response_format = model_parameters.get("response_format") - if response_format: - if response_format == "json_schema": - json_schema = model_parameters.get("json_schema") - if not json_schema: - raise ValueError("Must define JSON Schema when the response format is json_schema") - try: - schema = json.loads(json_schema) - except: - raise ValueError(f"not correct json_schema format: {json_schema}") - model_parameters.pop("json_schema") - model_parameters["response_format"] = {"type": "json_schema", "json_schema": schema} - else: - model_parameters["response_format"] = {"type": response_format} - elif "json_schema" in model_parameters: - del model_parameters["json_schema"] - - extra_model_kwargs = {} - - if tools: - # extra_model_kwargs['tools'] = [helper.dump_model(PromptMessageFunction(function=tool)) for tool in tools] - extra_model_kwargs["functions"] = [ - {"name": tool.name, "description": tool.description, "parameters": tool.parameters} for tool in tools - ] - - if stop: - extra_model_kwargs["stop"] = stop - - if user: - extra_model_kwargs["user"] = user - - if stream: - extra_model_kwargs["stream_options"] = {"include_usage": True} - - # clear illegal prompt messages - prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages) - - # o1, o3 compatibility - block_as_stream = False - if model.startswith(("o1", "o3")): - if "max_tokens" in model_parameters: - model_parameters["max_completion_tokens"] = model_parameters["max_tokens"] - del model_parameters["max_tokens"] - - if re.match(r"^o1(-\d{4}-\d{2}-\d{2})?$", model): - if stream: - block_as_stream = True - stream = False - if "stream_options" in extra_model_kwargs: - del extra_model_kwargs["stream_options"] - - if "stop" in extra_model_kwargs: - del extra_model_kwargs["stop"] - - # chat model - messages: Any = [self._convert_prompt_message_to_dict(m) for m in prompt_messages] - response = client.chat.completions.create( - messages=messages, - model=model, - stream=stream, - **model_parameters, - **extra_model_kwargs, - ) - - if stream: - return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools) - - block_result = self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools) - - if block_as_stream: - return self._handle_chat_block_as_stream_response(block_result, prompt_messages, stop) - - return block_result - - def _handle_chat_block_as_stream_response( - self, - block_result: LLMResult, - prompt_messages: list[PromptMessage], - stop: Optional[list[str]] = None, - ) -> Generator[LLMResultChunk, None, None]: - """ - Handle llm chat response - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: llm response chunk generator - """ - text = block_result.message.content - text = cast(str, text) - - if stop: - text = self.enforce_stop_tokens(text, stop) - - yield LLMResultChunk( - model=block_result.model, - prompt_messages=prompt_messages, - system_fingerprint=block_result.system_fingerprint, - delta=LLMResultChunkDelta( - index=0, - message=block_result.message, - finish_reason="stop", - usage=block_result.usage, - ), - ) - - def _handle_chat_generate_response( - self, - model: str, - credentials: dict, - response: ChatCompletion, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> LLMResult: - """ - Handle llm chat response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: llm response - """ - assistant_message = response.choices[0].message - # assistant_message_tool_calls = assistant_message.tool_calls - assistant_message_function_call = assistant_message.function_call - - # extract tool calls from response - # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls) - function_call = self._extract_response_function_call(assistant_message_function_call) - tool_calls = [function_call] if function_call else [] - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls) - - # calculate num tokens - if response.usage: - # transform usage - prompt_tokens = response.usage.prompt_tokens - completion_tokens = response.usage.completion_tokens - else: - # calculate num tokens - prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools) - completion_tokens = self._num_tokens_from_messages(model, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - response = LLMResult( - model=response.model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - system_fingerprint=response.system_fingerprint, - ) - - return response - - def _handle_chat_generate_stream_response( - self, - model: str, - credentials: dict, - response: Stream[ChatCompletionChunk], - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> Generator: - """ - Handle llm chat stream response - - :param model: model name - :param response: response - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: llm response chunk generator - """ - full_assistant_content = "" - delta_assistant_message_function_call_storage: ChoiceDeltaFunctionCall = None - prompt_tokens = 0 - completion_tokens = 0 - final_tool_calls = [] - final_chunk = LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=""), - ), - ) - - for chunk in response: - if len(chunk.choices) == 0: - if chunk.usage: - # calculate num tokens - prompt_tokens = chunk.usage.prompt_tokens - completion_tokens = chunk.usage.completion_tokens - continue - - delta = chunk.choices[0] - has_finish_reason = delta.finish_reason is not None - # to fix issue #12215 yi model has special case for ligthing - # FIXME drop the case when yi model is updated - if model.startswith("yi-"): - if isinstance(delta.finish_reason, str): - # doc: https://platform.lingyiwanwu.com/docs/api-reference - has_finish_reason = delta.finish_reason.startswith(("length", "stop", "content_filter")) - - if ( - not has_finish_reason - and (delta.delta.content is None or delta.delta.content == "") - and delta.delta.function_call is None - ): - continue - - # assistant_message_tool_calls = delta.delta.tool_calls - assistant_message_function_call = delta.delta.function_call - - # extract tool calls from response - if delta_assistant_message_function_call_storage is not None: - # handle process of stream function call - if assistant_message_function_call: - # message has not ended ever - delta_assistant_message_function_call_storage.arguments += assistant_message_function_call.arguments - continue - else: - # message has ended - assistant_message_function_call = delta_assistant_message_function_call_storage - delta_assistant_message_function_call_storage = None - else: - if assistant_message_function_call: - # start of stream function call - delta_assistant_message_function_call_storage = assistant_message_function_call - if delta_assistant_message_function_call_storage.arguments is None: - delta_assistant_message_function_call_storage.arguments = "" - if not has_finish_reason: - continue - - # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls) - function_call = self._extract_response_function_call(assistant_message_function_call) - tool_calls = [function_call] if function_call else [] - if tool_calls: - final_tool_calls.extend(tool_calls) - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=delta.delta.content or "", tool_calls=tool_calls) - - full_assistant_content += delta.delta.content or "" - - if has_finish_reason: - final_chunk = LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - finish_reason=delta.finish_reason, - ), - ) - else: - yield LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - ), - ) - - if not prompt_tokens: - prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools) - - if not completion_tokens: - full_assistant_prompt_message = AssistantPromptMessage( - content=full_assistant_content, tool_calls=final_tool_calls - ) - completion_tokens = self._num_tokens_from_messages(model, [full_assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - final_chunk.delta.usage = usage - - yield final_chunk - - def _extract_response_tool_calls( - self, response_tool_calls: list[ChatCompletionMessageToolCall | ChoiceDeltaToolCall] - ) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_tool_calls: - for response_tool_call in response_tool_calls: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call.function.name, arguments=response_tool_call.function.arguments - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call.id, type=response_tool_call.type, function=function - ) - tool_calls.append(tool_call) - - return tool_calls - - def _extract_response_function_call( - self, response_function_call: FunctionCall | ChoiceDeltaFunctionCall - ) -> AssistantPromptMessage.ToolCall: - """ - Extract function call from response - - :param response_function_call: response function call - :return: tool call - """ - tool_call = None - if response_function_call: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_function_call.name, arguments=response_function_call.arguments - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_function_call.name, type="function", function=function - ) - - return tool_call - - def _clear_illegal_prompt_messages(self, model: str, prompt_messages: list[PromptMessage]) -> list[PromptMessage]: - """ - Clear illegal prompt messages for OpenAI API - - :param model: model name - :param prompt_messages: prompt messages - :return: cleaned prompt messages - """ - checklist = ["gpt-4-turbo", "gpt-4-turbo-2024-04-09"] - - if model in checklist: - # count how many user messages are there - user_message_count = len([m for m in prompt_messages if isinstance(m, UserPromptMessage)]) - if user_message_count > 1: - for prompt_message in prompt_messages: - if isinstance(prompt_message, UserPromptMessage): - if isinstance(prompt_message.content, list): - prompt_message.content = "\n".join( - [ - item.data - if item.type == PromptMessageContentType.TEXT - else "[IMAGE]" - if item.type == PromptMessageContentType.IMAGE - else "" - for item in prompt_message.content - ] - ) - - if model.startswith(("o1", "o3")): - system_message_count = len([m for m in prompt_messages if isinstance(m, SystemPromptMessage)]) - if system_message_count > 0: - new_prompt_messages = [] - for prompt_message in prompt_messages: - if isinstance(prompt_message, SystemPromptMessage): - prompt_message = UserPromptMessage( - content=prompt_message.content, - name=prompt_message.name, - ) - - new_prompt_messages.append(prompt_message) - prompt_messages = new_prompt_messages - - return prompt_messages - - def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict for OpenAI API - """ - if isinstance(message, UserPromptMessage): - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - elif isinstance(message.content, list): - sub_messages = [] - for message_content in message.content: - if isinstance(message_content, TextPromptMessageContent): - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif isinstance(message_content, ImagePromptMessageContent): - sub_message_dict = { - "type": "image_url", - "image_url": {"url": message_content.data, "detail": message_content.detail.value}, - } - sub_messages.append(sub_message_dict) - elif isinstance(message_content, AudioPromptMessageContent): - data_split = message_content.data.split(";base64,") - base64_data = data_split[1] - sub_message_dict = { - "type": "input_audio", - "input_audio": { - "data": base64_data, - "format": message_content.format, - }, - } - sub_messages.append(sub_message_dict) - - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls: - # message_dict["tool_calls"] = [tool_call.dict() for tool_call in - # message.tool_calls] - function_call = message.tool_calls[0] - message_dict["function_call"] = { - "name": function_call.function.name, - "arguments": function_call.function.arguments, - } - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - if isinstance(message.content, list): - text_contents = filter(lambda c: isinstance(c, TextPromptMessageContent), message.content) - message.content = "".join(c.data for c in text_contents) - message_dict = {"role": "system", "content": message.content} - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - # message_dict = { - # "role": "tool", - # "content": message.content, - # "tool_call_id": message.tool_call_id - # } - message_dict = {"role": "function", "content": message.content, "name": message.tool_call_id} - else: - raise ValueError(f"Got unknown type {message}") - - if message.name: - message_dict["name"] = message.name - - return message_dict - - def _num_tokens_from_string(self, model: str, text: str, tools: Optional[list[PromptMessageTool]] = None) -> int: - """ - Calculate num tokens for text completion model with tiktoken package. - - :param model: model name - :param text: prompt text - :param tools: tools for tool calling - :return: number of tokens - """ - try: - encoding = tiktoken.encoding_for_model(model) - except KeyError: - encoding = tiktoken.get_encoding("cl100k_base") - - num_tokens = len(encoding.encode(text)) - - if tools: - num_tokens += self._num_tokens_for_tools(encoding, tools) - - return num_tokens - - def _num_tokens_from_messages( - self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None - ) -> int: - """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package. - - Official documentation: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb""" - if model.startswith("ft:"): - model = model.split(":")[1] - - # Currently, we can use gpt4o to calculate chatgpt-4o-latest's token. - if model == "chatgpt-4o-latest" or model.startswith(("o1", "o3")): - model = "gpt-4o" - - try: - encoding = tiktoken.encoding_for_model(model) - except KeyError: - logger.warning("Warning: model not found. Using cl100k_base encoding.") - model = "cl100k_base" - encoding = tiktoken.get_encoding(model) - - if model.startswith("gpt-3.5-turbo-0301"): - # every message follows {role/name}\n{content}\n - tokens_per_message = 4 - # if there's a name, the role is omitted - tokens_per_name = -1 - elif model.startswith("gpt-3.5-turbo") or model.startswith("gpt-4") or model.startswith(("o1", "o3")): - tokens_per_message = 3 - tokens_per_name = 1 - else: - raise NotImplementedError( - f"get_num_tokens_from_messages() is not presently implemented " - f"for model {model}." - "See https://platform.openai.com/docs/advanced-usage/managing-tokens for " - "information on how messages are converted to tokens." - ) - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - # Cast str(value) in case the message value is not a string - # This occurs with function messages - # TODO: The current token calculation method for the image type is not implemented, - # which need to download the image and then get the resolution for calculation, - # and will increase the request delay - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += len(encoding.encode(t_key)) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += len(encoding.encode(f_key)) - num_tokens += len(encoding.encode(f_value)) - else: - num_tokens += len(encoding.encode(t_key)) - num_tokens += len(encoding.encode(t_value)) - else: - num_tokens += len(encoding.encode(str(value))) - - if key == "name": - num_tokens += tokens_per_name - - # every reply is primed with assistant - num_tokens += 3 - - if tools: - num_tokens += self._num_tokens_for_tools(encoding, tools) - - return num_tokens - - def _num_tokens_for_tools(self, encoding: tiktoken.Encoding, tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for tool calling with tiktoken package. - - :param encoding: encoding - :param tools: tools for tool calling - :return: number of tokens - """ - num_tokens = 0 - for tool in tools: - num_tokens += len(encoding.encode("type")) - num_tokens += len(encoding.encode("function")) - - # calculate num tokens for function object - num_tokens += len(encoding.encode("name")) - num_tokens += len(encoding.encode(tool.name)) - num_tokens += len(encoding.encode("description")) - num_tokens += len(encoding.encode(tool.description)) - parameters = tool.parameters - num_tokens += len(encoding.encode("parameters")) - if "title" in parameters: - num_tokens += len(encoding.encode("title")) - num_tokens += len(encoding.encode(parameters.get("title"))) - num_tokens += len(encoding.encode("type")) - num_tokens += len(encoding.encode(parameters.get("type"))) - if "properties" in parameters: - num_tokens += len(encoding.encode("properties")) - for key, value in parameters.get("properties").items(): - num_tokens += len(encoding.encode(key)) - for field_key, field_value in value.items(): - num_tokens += len(encoding.encode(field_key)) - if field_key == "enum": - for enum_field in field_value: - num_tokens += 3 - num_tokens += len(encoding.encode(enum_field)) - else: - num_tokens += len(encoding.encode(field_key)) - num_tokens += len(encoding.encode(str(field_value))) - if "required" in parameters: - num_tokens += len(encoding.encode("required")) - for required_field in parameters["required"]: - num_tokens += 3 - num_tokens += len(encoding.encode(required_field)) - - return num_tokens - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - OpenAI supports fine-tuning of their models. This method returns the schema of the base model - but renamed to the fine-tuned model name. - - :param model: model name - :param credentials: credentials - - :return: model schema - """ - if not model.startswith("ft:"): - base_model = model - else: - # get base_model - base_model = model.split(":")[1] - - # get model schema - base_model_schema = None - for predefined_model in self.predefined_models(): - if base_model == predefined_model.model: - base_model_schema = predefined_model - break - - if not base_model_schema: - raise ValueError(f"Base model {base_model} not found") - - base_model_schema_features = base_model_schema.features or [] - base_model_schema_model_properties = base_model_schema.model_properties - base_model_schema_parameters_rules = base_model_schema.parameter_rules - - entity = AIModelEntity( - model=model, - label=I18nObject(zh_Hans=model, en_US=model), - model_type=ModelType.LLM, - features=list(base_model_schema_features), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties=dict(base_model_schema_model_properties.items()), - parameter_rules=list(base_model_schema_parameters_rules), - pricing=base_model_schema.pricing, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml deleted file mode 100644 index 643258a23e14c6..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o1-2024-12-17.yaml +++ /dev/null @@ -1,48 +0,0 @@ -model: o1-2024-12-17 -label: - en_US: o1-2024-12-17 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 50000 - min: 1 - max: 50000 - - name: reasoning_effort - label: - zh_Hans: 推理工作 - en_US: reasoning_effort - type: string - help: - zh_Hans: 限制推理模型的推理工作 - en_US: constrains effort on reasoning for reasoning models - required: false - options: - - low - - medium - - high - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '15.00' - output: '60.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-mini-2024-09-12.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-mini-2024-09-12.yaml deleted file mode 100644 index 0ade7f8ded9d4b..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o1-mini-2024-09-12.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: o1-mini-2024-09-12 -label: - zh_Hans: o1-mini-2024-09-12 - en_US: o1-mini-2024-09-12 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 65536 - min: 1 - max: 65536 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '3.00' - output: '12.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-mini.yaml deleted file mode 100644 index 60816c5d1e4d93..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o1-mini.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: o1-mini -label: - zh_Hans: o1-mini - en_US: o1-mini -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 65536 - min: 1 - max: 65536 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '3.00' - output: '12.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-preview-2024-09-12.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-preview-2024-09-12.yaml deleted file mode 100644 index c9da96f611bc91..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o1-preview-2024-09-12.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: o1-preview-2024-09-12 -label: - zh_Hans: o1-preview-2024-09-12 - en_US: o1-preview-2024-09-12 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 32768 - min: 1 - max: 32768 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '15.00' - output: '60.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/o1-preview.yaml b/api/core/model_runtime/model_providers/openai/llm/o1-preview.yaml deleted file mode 100644 index c83874b76582e8..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o1-preview.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: o1-preview -label: - zh_Hans: o1-preview - en_US: o1-preview -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 32768 - min: 1 - max: 32768 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '15.00' - output: '60.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/o1.yaml b/api/core/model_runtime/model_providers/openai/llm/o1.yaml deleted file mode 100644 index 53d5f719cc3f4e..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o1.yaml +++ /dev/null @@ -1,49 +0,0 @@ -model: o1 -label: - zh_Hans: o1 - en_US: o1 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 50000 - min: 1 - max: 50000 - - name: reasoning_effort - label: - zh_Hans: 推理工作 - en_US: reasoning_effort - type: string - help: - zh_Hans: 限制推理模型的推理工作 - en_US: constrains effort on reasoning for reasoning models - required: false - options: - - low - - medium - - high - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '15.00' - output: '60.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml deleted file mode 100644 index 3f717bf08dcdce..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o3-mini-2025-01-31.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: o3-mini-2025-01-31 -label: - zh_Hans: o3-mini-2025-01-31 - en_US: o3-mini-2025-01-31 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 100000 - min: 1 - max: 100000 - - name: reasoning_effort - label: - zh_Hans: 推理工作 - en_US: reasoning_effort - type: string - help: - zh_Hans: 限制推理模型的推理工作 - en_US: constrains effort on reasoning for reasoning models - required: false - options: - - low - - medium - - high - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.10' - output: '4.40' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml b/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml deleted file mode 100644 index 755fc005958a32..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/o3-mini.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: o3-mini -label: - zh_Hans: o3-mini - en_US: o3-mini -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - default: 100000 - min: 1 - max: 100000 - - name: reasoning_effort - label: - zh_Hans: 推理工作 - en_US: reasoning_effort - type: string - help: - zh_Hans: 限制推理模型的推理工作 - en_US: constrains effort on reasoning for reasoning models - required: false - options: - - low - - medium - - high - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.10' - output: '4.40' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml b/api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml deleted file mode 100644 index 76b5d848753da5..00000000000000 --- a/api/core/model_runtime/model_providers/openai/llm/text-davinci-003.yaml +++ /dev/null @@ -1,29 +0,0 @@ -model: text-davinci-003 -label: - zh_Hans: text-davinci-003 - en_US: text-davinci-003 -model_type: llm -features: [ ] -model_properties: - mode: completion - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 -pricing: - input: '0.001' - output: '0.002' - unit: '0.001' - currency: USD -deprecated: true diff --git a/api/core/model_runtime/model_providers/openai/moderation/__init__.py b/api/core/model_runtime/model_providers/openai/moderation/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai/moderation/moderation.py b/api/core/model_runtime/model_providers/openai/moderation/moderation.py index 227e4b0c152a05..9bf055ce6b42c3 100644 --- a/api/core/model_runtime/model_providers/openai/moderation/moderation.py +++ b/api/core/model_runtime/model_providers/openai/moderation/moderation.py @@ -1,15 +1,25 @@ +from collections.abc import Mapping from typing import Optional +import openai +from httpx import Timeout from openai import OpenAI from openai.types import ModerationCreateResponse from core.model_runtime.entities.model_entities import ModelPropertyKey +from core.model_runtime.errors.invoke import ( + InvokeAuthorizationError, + InvokeBadRequestError, + InvokeConnectionError, + InvokeError, + InvokeRateLimitError, + InvokeServerUnavailableError, +) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.moderation_model import ModerationModel -from core.model_runtime.model_providers.openai._common import _CommonOpenAI -class OpenAIModerationModel(_CommonOpenAI, ModerationModel): +class OpenAIModerationModel(ModerationModel): """ Model class for OpenAI text moderation model. """ @@ -113,3 +123,48 @@ def _get_max_chunks(self, model: str, credentials: dict) -> int: return max_chunks return 1 + + def _to_credential_kwargs(self, credentials: Mapping) -> dict: + """ + Transform credentials to kwargs for model instance + + :param credentials: + :return: + """ + credentials_kwargs = { + "api_key": credentials["openai_api_key"], + "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0), + "max_retries": 1, + } + + if credentials.get("openai_api_base"): + openai_api_base = credentials["openai_api_base"].rstrip("/") + credentials_kwargs["base_url"] = openai_api_base + "/v1" + + if "openai_organization" in credentials: + credentials_kwargs["organization"] = credentials["openai_organization"] + + return credentials_kwargs + + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + """ + Map model invoke error to unified error + The key is the error type thrown to the caller + The value is the error type thrown by the model, + which needs to be converted into a unified error type for the caller. + + :return: Invoke error mapping + """ + return { + InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError], + InvokeServerUnavailableError: [openai.InternalServerError], + InvokeRateLimitError: [openai.RateLimitError], + InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError], + InvokeBadRequestError: [ + openai.BadRequestError, + openai.NotFoundError, + openai.UnprocessableEntityError, + openai.APIError, + ], + } diff --git a/api/core/model_runtime/model_providers/openai/moderation/text-moderation-stable.yaml b/api/core/model_runtime/model_providers/openai/moderation/text-moderation-stable.yaml deleted file mode 100644 index 5ca180916782d9..00000000000000 --- a/api/core/model_runtime/model_providers/openai/moderation/text-moderation-stable.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: text-moderation-stable -model_type: moderation -model_properties: - max_chunks: 32 - max_characters_per_chunk: 2000 diff --git a/api/core/model_runtime/model_providers/openai/openai.py b/api/core/model_runtime/model_providers/openai/openai.py deleted file mode 100644 index c546441af61d9b..00000000000000 --- a/api/core/model_runtime/model_providers/openai/openai.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class OpenAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `gpt-4o-mini` model for validate, - # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="gpt-4o-mini", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/openai/openai.yaml b/api/core/model_runtime/model_providers/openai/openai.yaml deleted file mode 100644 index b4dc8fd4f2dfad..00000000000000 --- a/api/core/model_runtime/model_providers/openai/openai.yaml +++ /dev/null @@ -1,89 +0,0 @@ -provider: openai -label: - en_US: OpenAI -description: - en_US: Models provided by OpenAI, such as GPT-3.5-Turbo and GPT-4. - zh_Hans: OpenAI 提供的模型，例如 GPT-3.5-Turbo 和 GPT-4。 -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#E5E7EB" -help: - title: - en_US: Get your API Key from OpenAI - zh_Hans: 从 OpenAI 获取 API Key - url: - en_US: https://platform.openai.com/account/api-keys -supported_model_types: - - llm - - text-embedding - - speech2text - - moderation - - tts -configurate_methods: - - predefined-model - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: openai_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: openai_organization - label: - zh_Hans: 组织 ID - en_US: Organization - type: text-input - required: false - placeholder: - zh_Hans: 在此输入您的组织 ID - en_US: Enter your Organization ID - - variable: openai_api_base - label: - zh_Hans: API Base - en_US: API Base - type: text-input - required: false - placeholder: - zh_Hans: 在此输入您的 API Base - en_US: Enter your API Base -provider_credential_schema: - credential_form_schemas: - - variable: openai_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: openai_organization - label: - zh_Hans: 组织 ID - en_US: Organization - type: text-input - required: false - placeholder: - zh_Hans: 在此输入您的组织 ID - en_US: Enter your Organization ID - - variable: openai_api_base - label: - zh_Hans: API Base - en_US: API Base - type: text-input - required: false - placeholder: - zh_Hans: 在此输入您的 API Base, 如：https://api.openai.com - en_US: Enter your API Base, e.g. https://api.openai.com diff --git a/api/core/model_runtime/model_providers/openai/speech2text/__init__.py b/api/core/model_runtime/model_providers/openai/speech2text/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai/speech2text/speech2text.py b/api/core/model_runtime/model_providers/openai/speech2text/speech2text.py deleted file mode 100644 index ecf455c6fdb7f8..00000000000000 --- a/api/core/model_runtime/model_providers/openai/speech2text/speech2text.py +++ /dev/null @@ -1,77 +0,0 @@ -from typing import IO, Optional - -from openai import OpenAI - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel -from core.model_runtime.model_providers.openai._common import _CommonOpenAI - - -class OpenAISpeech2TextModel(_CommonOpenAI, Speech2TextModel): - """ - Model class for OpenAI Speech to text model. - """ - - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - return self._speech2text_invoke(model, credentials, file) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - audio_file_path = self._get_demo_file_path() - - with open(audio_file_path, "rb") as audio_file: - self._speech2text_invoke(model, credentials, audio_file) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _speech2text_invoke(self, model: str, credentials: dict, file: IO[bytes]) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :return: text for given audio file - """ - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - - # init model client - client = OpenAI(**credentials_kwargs) - - response = client.audio.transcriptions.create(model=model, file=file) - - return response.text - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.SPEECH2TEXT, - model_properties={}, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/openai/speech2text/whisper-1.yaml b/api/core/model_runtime/model_providers/openai/speech2text/whisper-1.yaml deleted file mode 100644 index 6c14c766192d6b..00000000000000 --- a/api/core/model_runtime/model_providers/openai/speech2text/whisper-1.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: whisper-1 -model_type: speech2text -model_properties: - file_upload_limit: 25 - supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/openai/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-large.yaml b/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-large.yaml deleted file mode 100644 index 9489170fdea0b4..00000000000000 --- a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-large.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: text-embedding-3-large -model_type: text-embedding -model_properties: - context_size: 8191 - max_chunks: 32 -pricing: - input: '0.00013' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-small.yaml b/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-small.yaml deleted file mode 100644 index 586ba2b28f9041..00000000000000 --- a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-3-small.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: text-embedding-3-small -model_type: text-embedding -model_properties: - context_size: 8191 - max_chunks: 32 -pricing: - input: '0.00002' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-ada-002.yaml b/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-ada-002.yaml deleted file mode 100644 index ef1c49b017dc34..00000000000000 --- a/api/core/model_runtime/model_providers/openai/text_embedding/text-embedding-ada-002.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: text-embedding-ada-002 -model_type: text-embedding -model_properties: - context_size: 8097 - max_chunks: 32 -pricing: - input: '0.0001' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/openai/text_embedding/text_embedding.py deleted file mode 100644 index 9c8c8d5882ee4e..00000000000000 --- a/api/core/model_runtime/model_providers/openai/text_embedding/text_embedding.py +++ /dev/null @@ -1,206 +0,0 @@ -import base64 -import time -from typing import Optional, Union - -import numpy as np -import tiktoken -from openai import OpenAI - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.openai._common import _CommonOpenAI - - -class OpenAITextEmbeddingModel(_CommonOpenAI, TextEmbeddingModel): - """ - Model class for OpenAI text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - # init model client - client = OpenAI(**credentials_kwargs) - - extra_model_kwargs = {} - if user: - extra_model_kwargs["user"] = user - - extra_model_kwargs["encoding_format"] = "base64" - - # get model properties - context_size = self._get_context_size(model, credentials) - max_chunks = self._get_max_chunks(model, credentials) - - embeddings: list[list[float]] = [[] for _ in range(len(texts))] - tokens = [] - indices = [] - used_tokens = 0 - - try: - enc = tiktoken.encoding_for_model(model) - except KeyError: - enc = tiktoken.get_encoding("cl100k_base") - - for i, text in enumerate(texts): - token = enc.encode(text) - for j in range(0, len(token), context_size): - tokens += [token[j : j + context_size]] - indices += [i] - - batched_embeddings = [] - _iter = range(0, len(tokens), max_chunks) - - for i in _iter: - # call embedding model - embeddings_batch, embedding_used_tokens = self._embedding_invoke( - model=model, client=client, texts=tokens[i : i + max_chunks], extra_model_kwargs=extra_model_kwargs - ) - - used_tokens += embedding_used_tokens - batched_embeddings += embeddings_batch - - results: list[list[list[float]]] = [[] for _ in range(len(texts))] - num_tokens_in_batch: list[list[int]] = [[] for _ in range(len(texts))] - for i in range(len(indices)): - results[indices[i]].append(batched_embeddings[i]) - num_tokens_in_batch[indices[i]].append(len(tokens[i])) - - for i in range(len(texts)): - _result = results[i] - if len(_result) == 0: - embeddings_batch, embedding_used_tokens = self._embedding_invoke( - model=model, client=client, texts="", extra_model_kwargs=extra_model_kwargs - ) - - used_tokens += embedding_used_tokens - average = embeddings_batch[0] - else: - average = np.average(_result, axis=0, weights=num_tokens_in_batch[i]) - embedding = (average / np.linalg.norm(average)).tolist() - if np.isnan(embedding).any(): - raise ValueError("Normalized embedding is nan please try again") - embeddings[i] = embedding - - # calc usage - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens) - - return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - if len(texts) == 0: - return 0 - - try: - enc = tiktoken.encoding_for_model(model) - except KeyError: - enc = tiktoken.get_encoding("cl100k_base") - - total_num_tokens = 0 - for text in texts: - # calculate the number of tokens in the encoded text - tokenized_text = enc.encode(text) - total_num_tokens += len(tokenized_text) - - return total_num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - - # call embedding model - self._embedding_invoke(model=model, client=client, texts=["ping"], extra_model_kwargs={}) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _embedding_invoke( - self, model: str, client: OpenAI, texts: Union[list[str], str], extra_model_kwargs: dict - ) -> tuple[list[list[float]], int]: - """ - Invoke embedding model - - :param model: model name - :param client: model client - :param texts: texts to embed - :param extra_model_kwargs: extra model kwargs - :return: embeddings and used tokens - """ - # call embedding model - response = client.embeddings.create( - input=texts, - model=model, - **extra_model_kwargs, - ) - - if "encoding_format" in extra_model_kwargs and extra_model_kwargs["encoding_format"] == "base64": - # decode base64 embedding - return ( - [list(np.frombuffer(base64.b64decode(data.embedding), dtype="float32")) for data in response.data], - response.usage.total_tokens, - ) - - return [data.embedding for data in response.data], response.usage.total_tokens - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/openai/tts/__init__.py b/api/core/model_runtime/model_providers/openai/tts/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai/tts/tts-1-hd.yaml b/api/core/model_runtime/model_providers/openai/tts/tts-1-hd.yaml deleted file mode 100644 index 449c131f9d10f9..00000000000000 --- a/api/core/model_runtime/model_providers/openai/tts/tts-1-hd.yaml +++ /dev/null @@ -1,31 +0,0 @@ -model: tts-1-hd -model_type: tts -model_properties: - default_voice: 'alloy' - voices: - - mode: 'alloy' - name: 'Alloy' - language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ] - - mode: 'echo' - name: 'Echo' - language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ] - - mode: 'fable' - name: 'Fable' - language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ] - - mode: 'onyx' - name: 'Onyx' - language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ] - - mode: 'nova' - name: 'Nova' - language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ] - - mode: 'shimmer' - name: 'Shimmer' - language: [ 'zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID' ] - word_limit: 3500 - audio_type: 'mp3' - max_workers: 5 -pricing: - input: '0.03' - output: '0' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/tts/tts-1.yaml b/api/core/model_runtime/model_providers/openai/tts/tts-1.yaml deleted file mode 100644 index 83969fb2f7a129..00000000000000 --- a/api/core/model_runtime/model_providers/openai/tts/tts-1.yaml +++ /dev/null @@ -1,31 +0,0 @@ -model: tts-1 -model_type: tts -model_properties: - default_voice: 'alloy' - voices: - - mode: 'alloy' - name: 'Alloy' - language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID'] - - mode: 'echo' - name: 'Echo' - language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID'] - - mode: 'fable' - name: 'Fable' - language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID'] - - mode: 'onyx' - name: 'Onyx' - language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID'] - - mode: 'nova' - name: 'Nova' - language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID'] - - mode: 'shimmer' - name: 'Shimmer' - language: ['zh-Hans', 'en-US', 'de-DE', 'fr-FR', 'es-ES', 'it-IT', 'th-TH', 'id-ID'] - word_limit: 3500 - audio_type: 'mp3' - max_workers: 5 -pricing: - input: '0.015' - output: '0' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openai/tts/tts.py b/api/core/model_runtime/model_providers/openai/tts/tts.py deleted file mode 100644 index dac37f0c7f5176..00000000000000 --- a/api/core/model_runtime/model_providers/openai/tts/tts.py +++ /dev/null @@ -1,118 +0,0 @@ -import concurrent.futures -from typing import Any, Optional - -from openai import OpenAI - -from core.model_runtime.errors.invoke import InvokeBadRequestError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.tts_model import TTSModel -from core.model_runtime.model_providers.openai._common import _CommonOpenAI - - -class OpenAIText2SpeechModel(_CommonOpenAI, TTSModel): - """ - Model class for OpenAI text2speech model. - """ - - def _invoke( - self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None - ) -> Any: - """ - _invoke text2speech model - - :param model: model name - :param tenant_id: user tenant id - :param credentials: model credentials - :param content_text: text content to be translated - :param voice: model timbre - :param user: unique user id - :return: text translated to audio file - """ - - if not voice or voice not in [ - d["value"] for d in self.get_tts_model_voices(model=model, credentials=credentials) - ]: - voice = self._get_model_default_voice(model, credentials) - # if streaming: - return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice) - - def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None: - """ - validate credentials text2speech model - - :param model: model name - :param credentials: model credentials - :param user: unique user id - :return: text translated to audio file - """ - try: - self._tts_invoke_streaming( - model=model, - credentials=credentials, - content_text="Hello Dify!", - voice=self._get_model_default_voice(model, credentials), - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any: - """ - _tts_invoke_streaming text2speech model - - :param model: model name - :param credentials: model credentials - :param content_text: text content to be translated - :param voice: model timbre - :return: text translated to audio file - """ - try: - # doc: https://platform.openai.com/docs/guides/text-to-speech - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - model_support_voice = [ - x.get("value") for x in self.get_tts_model_voices(model=model, credentials=credentials) - ] - if not voice or voice not in model_support_voice: - voice = self._get_model_default_voice(model, credentials) - word_limit = self._get_model_word_limit(model, credentials) - if len(content_text) > word_limit: - sentences = self._split_text_into_sentences(content_text, max_length=word_limit) - executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences))) - futures = [ - executor.submit( - client.audio.speech.with_streaming_response.create, - model=model, - response_format="mp3", - input=sentences[i], - voice=voice, - ) - for i in range(len(sentences)) - ] - for future in futures: - yield from future.result().__enter__().iter_bytes(1024) # noqa:PLC2801 - - else: - response = client.audio.speech.with_streaming_response.create( - model=model, voice=voice, response_format="mp3", input=content_text.strip() - ) - - yield from response.__enter__().iter_bytes(1024) # noqa:PLC2801 - except Exception as ex: - raise InvokeBadRequestError(str(ex)) - - def _process_sentence(self, sentence: str, model: str, voice, credentials: dict): - """ - _tts_invoke openai text2speech model api - - :param model: model name - :param credentials: model credentials - :param voice: model timbre - :param sentence: text content to be translated - :return: text translated to audio file - """ - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - response = client.audio.speech.create(model=model, voice=voice, input=sentence.strip()) - if isinstance(response.read(), bytes): - return response.read() diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/_common.py b/api/core/model_runtime/model_providers/openai_api_compatible/_common.py deleted file mode 100644 index 1234e44f80c40c..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/_common.py +++ /dev/null @@ -1,43 +0,0 @@ -import requests - -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) - - -class _CommonOaiApiCompat: - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeAuthorizationError: [ - requests.exceptions.InvalidHeader, # Missing or Invalid API Key - ], - InvokeBadRequestError: [ - requests.exceptions.HTTPError, # Invalid Endpoint URL or model name - requests.exceptions.InvalidURL, # Misconfigured request or other API error - ], - InvokeRateLimitError: [ - requests.exceptions.RetryError # Too many requests sent in a short period of time - ], - InvokeServerUnavailableError: [ - requests.exceptions.ConnectionError, # Engine Overloaded - requests.exceptions.HTTPError, # Server Error - ], - InvokeConnectionError: [ - requests.exceptions.ConnectTimeout, # Timeout - requests.exceptions.ReadTimeout, # Timeout - ], - } diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py deleted file mode 100644 index 0f4c73814b9323..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py +++ /dev/null @@ -1,883 +0,0 @@ -import codecs -import json -from collections.abc import Generator -from decimal import Decimal -from typing import Optional, Union, cast -from urllib.parse import urljoin - -import requests - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContent, - PromptMessageContentType, - PromptMessageFunction, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - DefaultParameterName, - FetchFrom, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, - PriceConfig, -) -from core.model_runtime.errors.invoke import InvokeError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat -from core.model_runtime.utils import helper - - -class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel): - """ - Model class for OpenAI large language model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - - # text completion model - return self._generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: - :param credentials: - :param prompt_messages: - :param tools: tools for tool calling - :return: - """ - return self._num_tokens_from_messages(prompt_messages, tools, credentials) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials using requests to ensure compatibility with all providers following - OpenAI's API standard. - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - headers = {"Content-Type": "application/json"} - - api_key = credentials.get("api_key") - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - endpoint_url = credentials["endpoint_url"] - if not endpoint_url.endswith("/"): - endpoint_url += "/" - - # prepare the payload for a simple ping to the model - data = {"model": model, "max_tokens": 5} - - completion_type = LLMMode.value_of(credentials["mode"]) - - if completion_type is LLMMode.CHAT: - data["messages"] = [ - {"role": "user", "content": "ping"}, - ] - endpoint_url = urljoin(endpoint_url, "chat/completions") - elif completion_type is LLMMode.COMPLETION: - data["prompt"] = "ping" - endpoint_url = urljoin(endpoint_url, "completions") - else: - raise ValueError("Unsupported completion type for model configuration.") - - # send a post request to validate the credentials - response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300)) - - if response.status_code != 200: - raise CredentialsValidateFailedError( - f"Credentials validation failed with status code {response.status_code}" - ) - - try: - json_result = response.json() - except json.JSONDecodeError as e: - raise CredentialsValidateFailedError("Credentials validation failed: JSON decode error") - - if completion_type is LLMMode.CHAT and json_result.get("object", "") == "": - json_result["object"] = "chat.completion" - elif completion_type is LLMMode.COMPLETION and json_result.get("object", "") == "": - json_result["object"] = "text_completion" - - if completion_type is LLMMode.CHAT and ( - "object" not in json_result or json_result["object"] != "chat.completion" - ): - raise CredentialsValidateFailedError( - "Credentials validation failed: invalid response object, must be 'chat.completion'" - ) - elif completion_type is LLMMode.COMPLETION and ( - "object" not in json_result or json_result["object"] != "text_completion" - ): - raise CredentialsValidateFailedError( - "Credentials validation failed: invalid response object, must be 'text_completion'" - ) - except CredentialsValidateFailedError: - raise - except Exception as ex: - raise CredentialsValidateFailedError(f"An error occurred during credentials validation: {str(ex)}") - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - features = [] - - function_calling_type = credentials.get("function_calling_type", "no_call") - if function_calling_type == "function_call": - features.append(ModelFeature.TOOL_CALL) - elif function_calling_type == "tool_call": - features.append(ModelFeature.MULTI_TOOL_CALL) - - stream_function_calling = credentials.get("stream_function_calling", "supported") - if stream_function_calling == "supported": - features.append(ModelFeature.STREAM_TOOL_CALL) - - vision_support = credentials.get("vision_support", "not_support") - if vision_support == "support": - features.append(ModelFeature.VISION) - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.LLM, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - features=features, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "4096")), - ModelPropertyKey.MODE: credentials.get("mode"), - }, - parameter_rules=[ - ParameterRule( - name=DefaultParameterName.TEMPERATURE.value, - label=I18nObject(en_US="Temperature", zh_Hans="温度"), - help=I18nObject( - en_US="Kernel sampling threshold. Used to determine the randomness of the results." - "The higher the value, the stronger the randomness." - "The higher the possibility of getting different answers to the same question.", - zh_Hans="核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。", - ), - type=ParameterType.FLOAT, - default=float(credentials.get("temperature", 0.7)), - min=0, - max=2, - precision=2, - ), - ParameterRule( - name=DefaultParameterName.TOP_P.value, - label=I18nObject(en_US="Top P", zh_Hans="Top P"), - help=I18nObject( - en_US="The probability threshold of the nucleus sampling method during the generation process." - "The larger the value is, the higher the randomness of generation will be." - "The smaller the value is, the higher the certainty of generation will be.", - zh_Hans="生成过程中核采样方法概率阈值。取值越大，生成的随机性越高；取值越小，生成的确定性越高。", - ), - type=ParameterType.FLOAT, - default=float(credentials.get("top_p", 1)), - min=0, - max=1, - precision=2, - ), - ParameterRule( - name=DefaultParameterName.FREQUENCY_PENALTY.value, - label=I18nObject(en_US="Frequency Penalty", zh_Hans="频率惩罚"), - help=I18nObject( - en_US="For controlling the repetition rate of words used by the model." - "Increasing this can reduce the repetition of the same words in the model's output.", - zh_Hans="用于控制模型已使用字词的重复率。 提高此项可以降低模型在输出中重复相同字词的重复度。", - ), - type=ParameterType.FLOAT, - default=float(credentials.get("frequency_penalty", 0)), - min=-2, - max=2, - ), - ParameterRule( - name=DefaultParameterName.PRESENCE_PENALTY.value, - label=I18nObject(en_US="Presence Penalty", zh_Hans="存在惩罚"), - help=I18nObject( - en_US="Used to control the repetition rate when generating models." - "Increasing this can reduce the repetition rate of model generation.", - zh_Hans="用于控制模型生成时的重复度。提高此项可以降低模型生成的重复度。", - ), - type=ParameterType.FLOAT, - default=float(credentials.get("presence_penalty", 0)), - min=-2, - max=2, - ), - ParameterRule( - name=DefaultParameterName.MAX_TOKENS.value, - label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"), - help=I18nObject( - en_US="Maximum length of tokens for the model response.", zh_Hans="模型回答的tokens的最大长度。" - ), - type=ParameterType.INT, - default=512, - min=1, - max=int(credentials.get("max_tokens_to_sample", 4096)), - ), - ], - pricing=PriceConfig( - input=Decimal(credentials.get("input_price", 0)), - output=Decimal(credentials.get("output_price", 0)), - unit=Decimal(credentials.get("unit", 0)), - currency=credentials.get("currency", "USD"), - ), - ) - - if credentials["mode"] == "chat": - entity.model_properties[ModelPropertyKey.MODE] = LLMMode.CHAT.value - elif credentials["mode"] == "completion": - entity.model_properties[ModelPropertyKey.MODE] = LLMMode.COMPLETION.value - else: - raise ValueError(f"Unknown completion type {credentials['completion_type']}") - - return entity - - # validate_credentials method has been rewritten to use the requests library for compatibility with all providers - # following OpenAI's API standard. - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke llm completion model - - :param model: model name - :param credentials: credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - headers = { - "Content-Type": "application/json", - "Accept-Charset": "utf-8", - } - extra_headers = credentials.get("extra_headers") - if extra_headers is not None: - headers = { - **headers, - **extra_headers, - } - - api_key = credentials.get("api_key") - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - endpoint_url = credentials["endpoint_url"] - if not endpoint_url.endswith("/"): - endpoint_url += "/" - - response_format = model_parameters.get("response_format") - if response_format: - if response_format == "json_schema": - json_schema = model_parameters.get("json_schema") - if not json_schema: - raise ValueError("Must define JSON Schema when the response format is json_schema") - try: - schema = json.loads(json_schema) - except: - raise ValueError(f"not correct json_schema format: {json_schema}") - model_parameters.pop("json_schema") - model_parameters["response_format"] = {"type": "json_schema", "json_schema": schema} - else: - model_parameters["response_format"] = {"type": response_format} - elif "json_schema" in model_parameters: - del model_parameters["json_schema"] - - data = {"model": model, "stream": stream, **model_parameters} - - completion_type = LLMMode.value_of(credentials["mode"]) - - if completion_type is LLMMode.CHAT: - endpoint_url = urljoin(endpoint_url, "chat/completions") - data["messages"] = [self._convert_prompt_message_to_dict(m, credentials) for m in prompt_messages] - elif completion_type is LLMMode.COMPLETION: - endpoint_url = urljoin(endpoint_url, "completions") - data["prompt"] = prompt_messages[0].content - else: - raise ValueError("Unsupported completion type for model configuration.") - - # annotate tools with names, descriptions, etc. - function_calling_type = credentials.get("function_calling_type", "no_call") - formatted_tools = [] - if tools: - if function_calling_type == "function_call": - data["functions"] = [ - {"name": tool.name, "description": tool.description, "parameters": tool.parameters} - for tool in tools - ] - elif function_calling_type == "tool_call": - data["tool_choice"] = "auto" - - for tool in tools: - formatted_tools.append(helper.dump_model(PromptMessageFunction(function=tool))) - - data["tools"] = formatted_tools - - if stop: - data["stop"] = stop - - if user: - data["user"] = user - - response = requests.post(endpoint_url, headers=headers, json=data, timeout=(10, 300), stream=stream) - - if response.encoding is None or response.encoding == "ISO-8859-1": - response.encoding = "utf-8" - - if response.status_code != 200: - raise InvokeError(f"API request failed with status code {response.status_code}: {response.text}") - - if stream: - return self._handle_generate_stream_response(model, credentials, response, prompt_messages) - - return self._handle_generate_response(model, credentials, response, prompt_messages) - - def _create_final_llm_result_chunk( - self, - index: int, - message: AssistantPromptMessage, - finish_reason: str, - usage: dict, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - full_content: str, - ) -> LLMResultChunk: - # calculate num tokens - prompt_tokens = usage and usage.get("prompt_tokens") - if prompt_tokens is None: - prompt_tokens = self._num_tokens_from_string(text=prompt_messages[0].content) - completion_tokens = usage and usage.get("completion_tokens") - if completion_tokens is None: - completion_tokens = self._num_tokens_from_string(text=full_content) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - return LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage), - ) - - def _get_tool_call(self, tool_call_id: str, tools_calls: list[AssistantPromptMessage.ToolCall]): - """ - Get or create a tool call by ID - - :param tool_call_id: tool call ID - :param tools_calls: list of existing tool calls - :return: existing or new tool call, updated tools_calls - """ - if not tool_call_id: - return tools_calls[-1], tools_calls - - tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None) - if tool_call is None: - tool_call = AssistantPromptMessage.ToolCall( - id=tool_call_id, - type="function", - function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""), - ) - tools_calls.append(tool_call) - - return tool_call, tools_calls - - def _increase_tool_call( - self, new_tool_calls: list[AssistantPromptMessage.ToolCall], tools_calls: list[AssistantPromptMessage.ToolCall] - ) -> list[AssistantPromptMessage.ToolCall]: - for new_tool_call in new_tool_calls: - # get tool call - tool_call, tools_calls = self._get_tool_call(new_tool_call.function.name, tools_calls) - # update tool call - if new_tool_call.id: - tool_call.id = new_tool_call.id - if new_tool_call.type: - tool_call.type = new_tool_call.type - if new_tool_call.function.name: - tool_call.function.name = new_tool_call.function.name - if new_tool_call.function.arguments: - tool_call.function.arguments += new_tool_call.function.arguments - return tools_calls - - def _handle_generate_stream_response( - self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage] - ) -> Generator: - """ - Handle llm stream response - - :param model: model name - :param credentials: model credentials - :param response: streamed response - :param prompt_messages: prompt messages - :return: llm response chunk generator - """ - chunk_index = 0 - full_assistant_content = "" - tools_calls: list[AssistantPromptMessage.ToolCall] = [] - finish_reason = None - usage = None - is_reasoning_started = False - # delimiter for stream response, need unicode_escape - delimiter = credentials.get("stream_mode_delimiter", "\n\n") - delimiter = codecs.decode(delimiter, "unicode_escape") - for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter): - chunk = chunk.strip() - if chunk: - # ignore sse comments - if chunk.startswith(":"): - continue - decoded_chunk = chunk.strip().removeprefix("data:").lstrip() - if decoded_chunk == "[DONE]": # Some provider returns "data: [DONE]" - continue - - try: - chunk_json: dict = json.loads(decoded_chunk) - # stream ended - except json.JSONDecodeError as e: - yield self._create_final_llm_result_chunk( - index=chunk_index + 1, - message=AssistantPromptMessage(content=""), - finish_reason="Non-JSON encountered.", - usage=usage, - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - full_content=full_assistant_content, - ) - break - # handle the error here. for issue #11629 - if chunk_json.get("error") and chunk_json.get("choices") is None: - raise ValueError(chunk_json.get("error")) - - if chunk_json: - if u := chunk_json.get("usage"): - usage = u - if not chunk_json or len(chunk_json["choices"]) == 0: - continue - - choice = chunk_json["choices"][0] - finish_reason = chunk_json["choices"][0].get("finish_reason") - chunk_index += 1 - - if "delta" in choice: - delta = choice["delta"] - delta_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content( - delta, is_reasoning_started - ) - - assistant_message_tool_calls = None - - if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call": - assistant_message_tool_calls = delta.get("tool_calls", None) - elif ( - "function_call" in delta - and credentials.get("function_calling_type", "no_call") == "function_call" - ): - assistant_message_tool_calls = [ - {"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})} - ] - - # extract tool calls from response - if assistant_message_tool_calls: - tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls) - tools_calls = self._increase_tool_call(tool_calls, tools_calls) - - if delta_content is None or delta_content == "": - continue - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=delta_content, - ) - - # reset tool calls - tool_calls = [] - full_assistant_content += delta_content - elif "text" in choice: - choice_text = choice.get("text", "") - if choice_text == "": - continue - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=choice_text) - full_assistant_content += choice_text - else: - continue - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=assistant_prompt_message, - ), - ) - - chunk_index += 1 - - if tools_calls: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=AssistantPromptMessage(tool_calls=tools_calls, content=""), - ), - ) - - yield self._create_final_llm_result_chunk( - index=chunk_index, - message=AssistantPromptMessage(content=""), - finish_reason=finish_reason, - usage=usage, - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - full_content=full_assistant_content, - ) - - def _handle_generate_response( - self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage] - ) -> LLMResult: - response_json: dict = response.json() - - completion_type = LLMMode.value_of(credentials["mode"]) - - output = response_json["choices"][0] - message_id = response_json.get("id") - - response_content = "" - tool_calls = None - function_calling_type = credentials.get("function_calling_type", "no_call") - if completion_type is LLMMode.CHAT: - response_content = output.get("message", {})["content"] - if function_calling_type == "tool_call": - tool_calls = output.get("message", {}).get("tool_calls") - elif function_calling_type == "function_call": - tool_calls = output.get("message", {}).get("function_call") - - elif completion_type is LLMMode.COMPLETION: - response_content = output["text"] - - assistant_message = AssistantPromptMessage(content=response_content, tool_calls=[]) - - if tool_calls: - if function_calling_type == "tool_call": - assistant_message.tool_calls = self._extract_response_tool_calls(tool_calls) - elif function_calling_type == "function_call": - assistant_message.tool_calls = [self._extract_response_function_call(tool_calls)] - - usage = response_json.get("usage") - if usage: - # transform usage - prompt_tokens = usage["prompt_tokens"] - completion_tokens = usage["completion_tokens"] - else: - # calculate num tokens - prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content) - completion_tokens = self._num_tokens_from_string(model, assistant_message.content) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - result = LLMResult( - id=message_id, - model=response_json["model"], - prompt_messages=prompt_messages, - message=assistant_message, - usage=usage, - ) - - return result - - def _convert_prompt_message_to_dict(self, message: PromptMessage, credentials: Optional[dict] = None) -> dict: - """ - Convert PromptMessage to dict for OpenAI API format - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(PromptMessageContent, message_content) - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - sub_message_dict = { - "type": "image_url", - "image_url": {"url": message_content.data, "detail": message_content.detail.value}, - } - sub_messages.append(sub_message_dict) - - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls: - function_calling_type = credentials.get("function_calling_type", "no_call") - if function_calling_type == "tool_call": - message_dict["tool_calls"] = [tool_call.dict() for tool_call in message.tool_calls] - elif function_calling_type == "function_call": - function_call = message.tool_calls[0] - message_dict["function_call"] = { - "name": function_call.function.name, - "arguments": function_call.function.arguments, - } - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - function_calling_type = credentials.get("function_calling_type", "no_call") - if function_calling_type == "tool_call": - message_dict = {"role": "tool", "content": message.content, "tool_call_id": message.tool_call_id} - elif function_calling_type == "function_call": - message_dict = {"role": "function", "content": message.content, "name": message.tool_call_id} - else: - raise ValueError(f"Got unknown type {message}") - - if message.name and message_dict.get("role", "") != "tool": - message_dict["name"] = message.name - - return message_dict - - def _num_tokens_from_string( - self, text: Union[str, list[PromptMessageContent]], tools: Optional[list[PromptMessageTool]] = None - ) -> int: - """ - Approximate num tokens for model with gpt2 tokenizer. - - :param text: prompt text - :param tools: tools for tool calling - :return: number of tokens - """ - if isinstance(text, str): - full_text = text - else: - full_text = "" - for message_content in text: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(PromptMessageContent, message_content) - full_text += message_content.data - - num_tokens = self._get_num_tokens_by_gpt2(full_text) - - if tools: - num_tokens += self._num_tokens_for_tools(tools) - - return num_tokens - - def _num_tokens_from_messages( - self, - messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - credentials: Optional[dict] = None, - ) -> int: - """ - Approximate num tokens with GPT2 tokenizer. - """ - - tokens_per_message = 3 - tokens_per_name = 1 - - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m, credentials) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - # Cast str(value) in case the message value is not a string - # This occurs with function messages - # TODO: The current token calculation method for the image type is not implemented, - # which need to download the image and then get the resolution for calculation, - # and will increase the request delay - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += self._get_num_tokens_by_gpt2(t_key) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += self._get_num_tokens_by_gpt2(f_key) - num_tokens += self._get_num_tokens_by_gpt2(f_value) - else: - num_tokens += self._get_num_tokens_by_gpt2(t_key) - num_tokens += self._get_num_tokens_by_gpt2(t_value) - else: - num_tokens += self._get_num_tokens_by_gpt2(str(value)) - - if key == "name": - num_tokens += tokens_per_name - - # every reply is primed with assistant - num_tokens += 3 - - if tools: - num_tokens += self._num_tokens_for_tools(tools) - - return num_tokens - - def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for tool calling with tiktoken package. - - :param tools: tools for tool calling - :return: number of tokens - """ - num_tokens = 0 - for tool in tools: - num_tokens += self._get_num_tokens_by_gpt2("type") - num_tokens += self._get_num_tokens_by_gpt2("function") - num_tokens += self._get_num_tokens_by_gpt2("function") - - # calculate num tokens for function object - num_tokens += self._get_num_tokens_by_gpt2("name") - if hasattr(tool, "name"): - num_tokens += self._get_num_tokens_by_gpt2(tool.name) - num_tokens += self._get_num_tokens_by_gpt2("description") - if hasattr(tool, "description"): - num_tokens += self._get_num_tokens_by_gpt2(tool.description) - if hasattr(tool, "parameters"): - parameters = tool.parameters - num_tokens += self._get_num_tokens_by_gpt2("parameters") - if "title" in parameters: - num_tokens += self._get_num_tokens_by_gpt2("title") - num_tokens += self._get_num_tokens_by_gpt2(parameters.get("title")) - num_tokens += self._get_num_tokens_by_gpt2("type") - num_tokens += self._get_num_tokens_by_gpt2(parameters.get("type")) - if "properties" in parameters: - num_tokens += self._get_num_tokens_by_gpt2("properties") - for key, value in parameters.get("properties", {}).items(): - num_tokens += self._get_num_tokens_by_gpt2(key) - for field_key, field_value in value.items(): - num_tokens += self._get_num_tokens_by_gpt2(field_key) - if field_key == "enum": - for enum_field in field_value: - num_tokens += 3 - num_tokens += self._get_num_tokens_by_gpt2(enum_field) - else: - num_tokens += self._get_num_tokens_by_gpt2(field_key) - num_tokens += self._get_num_tokens_by_gpt2(str(field_value)) - if "required" in parameters: - num_tokens += self._get_num_tokens_by_gpt2("required") - for required_field in parameters["required"]: - num_tokens += 3 - num_tokens += self._get_num_tokens_by_gpt2(required_field) - - return num_tokens - - def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_tool_calls: - for response_tool_call in response_tool_calls: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call.get("function", {}).get("name", ""), - arguments=response_tool_call.get("function", {}).get("arguments", ""), - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call.get("id", ""), type=response_tool_call.get("type", ""), function=function - ) - tool_calls.append(tool_call) - - return tool_calls - - def _extract_response_function_call(self, response_function_call) -> AssistantPromptMessage.ToolCall: - """ - Extract function call from response - - :param response_function_call: response function call - :return: tool call - """ - tool_call = None - if response_function_call: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_function_call.get("name", ""), arguments=response_function_call.get("arguments", "") - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_function_call.get("id", ""), type="function", function=function - ) - - return tool_call diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.py b/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.py deleted file mode 100644 index ca6f1852872fed..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class OAICompatProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml b/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml deleted file mode 100644 index 2b8dcb72d8b0f6..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml +++ /dev/null @@ -1,193 +0,0 @@ -provider: openai_api_compatible -label: - en_US: OpenAI-API-compatible -description: - en_US: Model providers compatible with OpenAI's API standard, such as LM Studio. - zh_Hans: 兼容 OpenAI API 的模型供应商，例如 LM Studio 。 -supported_model_types: - - llm - - text-embedding - - speech2text - - rerank - - tts -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter full model name - zh_Hans: 输入模型全称 - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: false - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: endpoint_url - label: - zh_Hans: API endpoint URL - en_US: API endpoint URL - type: text-input - required: true - placeholder: - zh_Hans: Base URL, e.g. https://api.openai.com/v1 - en_US: Base URL, e.g. https://api.openai.com/v1 - - variable: mode - show_on: - - variable: __model_type - value: llm - label: - en_US: Completion mode - type: select - required: false - default: chat - placeholder: - zh_Hans: 选择对话类型 - en_US: Select completion mode - options: - - value: completion - label: - en_US: Completion - zh_Hans: 补全 - - value: chat - label: - en_US: Chat - zh_Hans: 对话 - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - show_on: - - variable: __model_type - value: llm - type: text-input - default: "4096" - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - show_on: - - variable: __model_type - value: text-embedding - type: text-input - default: "4096" - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - show_on: - - variable: __model_type - value: rerank - type: text-input - default: "4096" - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens_to_sample - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - show_on: - - variable: __model_type - value: llm - default: "4096" - type: text-input - - variable: function_calling_type - show_on: - - variable: __model_type - value: llm - label: - en_US: Function calling - type: select - required: false - default: no_call - options: - - value: function_call - label: - en_US: Function Call - zh_Hans: Function Call - - value: tool_call - label: - en_US: Tool Call - zh_Hans: Tool Call - - value: no_call - label: - en_US: Not Support - zh_Hans: 不支持 - - variable: stream_function_calling - show_on: - - variable: __model_type - value: llm - label: - en_US: Stream function calling - type: select - required: false - default: not_supported - options: - - value: supported - label: - en_US: Support - zh_Hans: 支持 - - value: not_supported - label: - en_US: Not Support - zh_Hans: 不支持 - - variable: vision_support - show_on: - - variable: __model_type - value: llm - label: - zh_Hans: Vision 支持 - en_US: Vision Support - type: select - required: false - default: no_support - options: - - value: support - label: - en_US: Support - zh_Hans: 支持 - - value: no_support - label: - en_US: Not Support - zh_Hans: 不支持 - - variable: stream_mode_delimiter - label: - zh_Hans: 流模式返回结果的分隔符 - en_US: Delimiter for streaming results - show_on: - - variable: __model_type - value: llm - default: '\n\n' - type: text-input - - variable: voices - show_on: - - variable: __model_type - value: tts - label: - en_US: Available Voices (comma-separated) - zh_Hans: 可用声音（用英文逗号分隔） - type: text-input - required: false - default: "alloy" - placeholder: - en_US: "alloy,echo,fable,onyx,nova,shimmer" - zh_Hans: "alloy,echo,fable,onyx,nova,shimmer" - help: - en_US: "List voice names separated by commas. First voice will be used as default." - zh_Hans: "用英文逗号分隔的声音列表。第一个声音将作为默认值。" diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/rerank/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py b/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py deleted file mode 100644 index 407dc7190ee6b0..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py +++ /dev/null @@ -1,165 +0,0 @@ -from json import dumps -from typing import Optional - -import httpx -from requests import post -from yarl import URL - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class OAICompatRerankModel(RerankModel): - """ - rerank model API is compatible with Jina rerank model API. So copy the JinaRerankModel class code here. - we need enhance for llama.cpp , which return raw score, not normalize score 0~1. It seems Dify need it - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n documents to return - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - server_url = credentials["endpoint_url"] - model_name = model - - if not server_url: - raise CredentialsValidateFailedError("server_url is required") - if not model_name: - raise CredentialsValidateFailedError("model_name is required") - - url = server_url - headers = {"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"} - - # TODO: Do we need truncate docs to avoid llama.cpp return error? - - data = {"model": model_name, "query": query, "documents": docs, "top_n": top_n, "return_documents": True} - - try: - response = post(str(URL(url) / "rerank"), headers=headers, data=dumps(data), timeout=60) - response.raise_for_status() - results = response.json() - - rerank_documents = [] - scores = [result["relevance_score"] for result in results["results"]] - - # Min-Max Normalization: Normalize scores to 0 ~ 1.0 range - min_score = min(scores) - max_score = max(scores) - score_range = max_score - min_score if max_score != min_score else 1.0 # Avoid division by zero - - for result in results["results"]: - index = result["index"] - - # Retrieve document text (fallback if llama.cpp rerank doesn't return it) - text = docs[index] - document = result.get("document", {}) - if document: - if isinstance(document, dict): - text = document.get("text", docs[index]) - elif isinstance(document, str): - text = document - - # Normalize the score - normalized_score = (result["relevance_score"] - min_score) / score_range - - # Create RerankDocument object with normalized score - rerank_document = RerankDocument( - index=index, - text=text, - score=normalized_score, - ) - - # Apply threshold (if defined) - if score_threshold is None or normalized_score >= score_threshold: - rerank_documents.append(rerank_document) - - # Sort rerank_documents by normalized score in descending order - rerank_documents.sort(key=lambda doc: doc.score, reverse=True) - - return RerankResult(model=model, docs=rerank_documents) - - except httpx.HTTPStatusError as e: - raise InvokeServerUnavailableError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return { - InvokeConnectionError: [httpx.ConnectError], - InvokeServerUnavailableError: [httpx.RemoteProtocolError], - InvokeRateLimitError: [], - InvokeAuthorizationError: [httpx.HTTPStatusError], - InvokeBadRequestError: [httpx.RequestError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.RERANK, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/speech2text.py b/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/speech2text.py deleted file mode 100644 index 74229a089aa45e..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/speech2text/speech2text.py +++ /dev/null @@ -1,79 +0,0 @@ -from typing import IO, Optional -from urllib.parse import urljoin - -import requests - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.errors.invoke import InvokeBadRequestError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel -from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat - - -class OAICompatSpeech2TextModel(_CommonOaiApiCompat, Speech2TextModel): - """ - Model class for OpenAI Compatible Speech to text model. - """ - - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - headers = {} - - api_key = credentials.get("api_key") - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - endpoint_url = credentials.get("endpoint_url") - assert endpoint_url is not None, "endpoint_url is required in credentials" - if not endpoint_url.endswith("/"): - endpoint_url += "/" - endpoint_url = urljoin(endpoint_url, "audio/transcriptions") - - payload = {"model": model} - files = [("file", file)] - response = requests.post(endpoint_url, headers=headers, data=payload, files=files) - - if response.status_code != 200: - raise InvokeBadRequestError(response.text) - response_data = response.json() - return response_data["text"] - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - audio_file_path = self._get_demo_file_path() - - with open(audio_file_path, "rb") as audio_file: - self._invoke(model, credentials, audio_file) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.SPEECH2TEXT, - model_properties={}, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py deleted file mode 100644 index b4d6c6c6ca9942..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py +++ /dev/null @@ -1,222 +0,0 @@ -import json -import time -from decimal import Decimal -from typing import Optional -from urllib.parse import urljoin - -import numpy as np -import requests - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - PriceConfig, - PriceType, -) -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat - - -class OAICompatEmbeddingModel(_CommonOaiApiCompat, TextEmbeddingModel): - """ - Model class for an OpenAI API-compatible text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - - # Prepare headers and payload for the request - headers = {"Content-Type": "application/json"} - - api_key = credentials.get("api_key") - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - endpoint_url = credentials.get("endpoint_url") - assert endpoint_url is not None, "endpoint_url is required in credentials" - if not endpoint_url.endswith("/"): - endpoint_url += "/" - - endpoint_url = urljoin(endpoint_url, "embeddings") - - extra_model_kwargs = {} - if user: - extra_model_kwargs["user"] = user - - extra_model_kwargs["encoding_format"] = "float" - - # get model properties - context_size = self._get_context_size(model, credentials) - max_chunks = self._get_max_chunks(model, credentials) - - inputs = [] - indices = [] - used_tokens = 0 - - for i, text in enumerate(texts): - # Here token count is only an approximation based on the GPT2 tokenizer - # TODO: Optimize for better token estimation and chunking - num_tokens = self._get_num_tokens_by_gpt2(text) - - if num_tokens >= context_size: - cutoff = int(np.floor(len(text) * (context_size / num_tokens))) - # if num tokens is larger than context length, only use the start - inputs.append(text[0:cutoff]) - else: - inputs.append(text) - indices += [i] - - batched_embeddings = [] - _iter = range(0, len(inputs), max_chunks) - - for i in _iter: - # Prepare the payload for the request - payload = {"input": inputs[i : i + max_chunks], "model": model, **extra_model_kwargs} - - # Make the request to the OpenAI API - response = requests.post(endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300)) - - response.raise_for_status() # Raise an exception for HTTP errors - response_data = response.json() - - # Extract embeddings and used tokens from the response - embeddings_batch = [data["embedding"] for data in response_data["data"]] - embedding_used_tokens = response_data["usage"]["total_tokens"] - - used_tokens += embedding_used_tokens - batched_embeddings += embeddings_batch - - # calc usage - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens) - - return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Approximate number of tokens for given messages using GPT2 tokenizer - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - return sum(self._get_num_tokens_by_gpt2(text) for text in texts) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - headers = {"Content-Type": "application/json"} - - api_key = credentials.get("api_key") - - if api_key: - headers["Authorization"] = f"Bearer {api_key}" - - endpoint_url = credentials.get("endpoint_url", "") - if not endpoint_url.endswith("/"): - endpoint_url += "/" - - endpoint_url = urljoin(endpoint_url, "embeddings") - - payload = {"input": "ping", "model": model} - # For nvidia models, the "input_type":"query" need in the payload - # more to check issue #11193 or NvidiaTextEmbeddingModel - if model.startswith("nvidia/"): - payload["input_type"] = "query" - - response = requests.post(url=endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300)) - - if response.status_code != 200: - raise CredentialsValidateFailedError( - f"Credentials validation failed with status code {response.status_code}" - ) - - try: - json_result = response.json() - except json.JSONDecodeError as e: - raise CredentialsValidateFailedError("Credentials validation failed: JSON decode error") - - if "model" not in json_result: - raise CredentialsValidateFailedError("Credentials validation failed: invalid response") - except CredentialsValidateFailedError: - raise - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)), - ModelPropertyKey.MAX_CHUNKS: 1, - }, - parameter_rules=[], - pricing=PriceConfig( - input=Decimal(credentials.get("input_price", 0)), - unit=Decimal(credentials.get("unit", 0)), - currency=credentials.get("currency", "USD"), - ), - ) - - return entity - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/tts/__init__.py b/api/core/model_runtime/model_providers/openai_api_compatible/tts/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/tts/tts.py b/api/core/model_runtime/model_providers/openai_api_compatible/tts/tts.py deleted file mode 100644 index 53e895b0ecb376..00000000000000 --- a/api/core/model_runtime/model_providers/openai_api_compatible/tts/tts.py +++ /dev/null @@ -1,146 +0,0 @@ -from collections.abc import Iterable -from typing import Optional -from urllib.parse import urljoin - -import requests - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType -from core.model_runtime.errors.invoke import InvokeBadRequestError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.tts_model import TTSModel -from core.model_runtime.model_providers.openai_api_compatible._common import _CommonOaiApiCompat - - -class OAICompatText2SpeechModel(_CommonOaiApiCompat, TTSModel): - """ - Model class for OpenAI-compatible text2speech model. - """ - - def _invoke( - self, - model: str, - tenant_id: str, - credentials: dict, - content_text: str, - voice: str, - user: Optional[str] = None, - ) -> Iterable[bytes]: - """ - Invoke TTS model - - :param model: model name - :param tenant_id: user tenant id - :param credentials: model credentials - :param content_text: text content to be translated - :param voice: model voice/speaker - :param user: unique user id - :return: audio data as bytes iterator - """ - # Set up headers with authentication if provided - headers = {} - if api_key := credentials.get("api_key"): - headers["Authorization"] = f"Bearer {api_key}" - - # Construct endpoint URL - endpoint_url = credentials.get("endpoint_url") - assert endpoint_url is not None, "endpoint_url is required in credentials" - if not endpoint_url.endswith("/"): - endpoint_url += "/" - endpoint_url = urljoin(endpoint_url, "audio/speech") - - # Get audio format from model properties - audio_format = self._get_model_audio_type(model, credentials) - - # Split text into chunks if needed based on word limit - word_limit = self._get_model_word_limit(model, credentials) - sentences = self._split_text_into_sentences(content_text, word_limit) - - for sentence in sentences: - # Prepare request payload - payload = {"model": model, "input": sentence, "voice": voice, "response_format": audio_format} - - # Make POST request - response = requests.post(endpoint_url, headers=headers, json=payload, stream=True) - - if response.status_code != 200: - raise InvokeBadRequestError(response.text) - - # Stream the audio data - for chunk in response.iter_content(chunk_size=4096): - if chunk: - yield chunk - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # Get default voice for validation - voice = self._get_model_default_voice(model, credentials) - - # Test with a simple text - next( - self._invoke( - model=model, tenant_id="validate", credentials=credentials, content_text="Test.", voice=voice - ) - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - Get customizable model schema - """ - # Parse voices from comma-separated string - voice_names = credentials.get("voices", "alloy").strip().split(",") - voices = [] - - for voice in voice_names: - voice = voice.strip() - if not voice: - continue - - # Use en-US for all voices - voices.append( - { - "name": voice, - "mode": voice, - "language": "en-US", - } - ) - - # If no voices provided or all voices were empty strings, use 'alloy' as default - if not voices: - voices = [{"name": "Alloy", "mode": "alloy", "language": "en-US"}] - - return AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.TTS, - model_properties={ - ModelPropertyKey.AUDIO_TYPE: credentials.get("audio_type", "mp3"), - ModelPropertyKey.WORD_LIMIT: int(credentials.get("word_limit", 4096)), - ModelPropertyKey.DEFAULT_VOICE: voices[0]["mode"], - ModelPropertyKey.VOICES: voices, - }, - ) - - def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list: - """ - Override base get_tts_model_voices to handle customizable voices - """ - model_schema = self.get_customizable_model_schema(model, credentials) - - if not model_schema or ModelPropertyKey.VOICES not in model_schema.model_properties: - raise ValueError("this model does not support voice") - - voices = model_schema.model_properties[ModelPropertyKey.VOICES] - - # Always return all voices regardless of language - return [{"name": d["name"], "value": d["mode"]} for d in voices] diff --git a/api/core/model_runtime/model_providers/openllm/__init__.py b/api/core/model_runtime/model_providers/openllm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openllm/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/openllm/_assets/icon_l_en.svg deleted file mode 100644 index 59bb57992ca511..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/_assets/icon_l_en.svg +++ /dev/null @@ -1,19 +0,0 @@ - - - - - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/openllm/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/openllm/_assets/icon_s_en.svg deleted file mode 100644 index d25d627020c26d..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/_assets/icon_s_en.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/openllm/llm/__init__.py b/api/core/model_runtime/model_providers/openllm/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openllm/llm/llm.py b/api/core/model_runtime/model_providers/openllm/llm/llm.py deleted file mode 100644 index e5ecc748fb1b61..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/llm/llm.py +++ /dev/null @@ -1,265 +0,0 @@ -from collections.abc import Generator -from typing import Optional - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageTool, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.openllm.llm.openllm_generate import OpenLLMGenerate, OpenLLMGenerateMessage -from core.model_runtime.model_providers.openllm.llm.openllm_generate_errors import ( - BadRequestError, - InsufficientAccountBalanceError, - InternalServerError, - InvalidAPIKeyError, - InvalidAuthenticationError, - RateLimitReachedError, -) - - -class OpenLLMLargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate credentials for Baichuan model - """ - if not credentials.get("server_url"): - raise CredentialsValidateFailedError("Invalid server URL") - - # ping - instance = OpenLLMGenerate() - try: - instance.generate( - server_url=credentials["server_url"], - model_name=model, - prompt_messages=[OpenLLMGenerateMessage(content="ping\nAnswer: ", role="user")], - model_parameters={ - "max_tokens": 64, - "temperature": 0.8, - "top_p": 0.9, - "top_k": 15, - }, - stream=False, - user="", - stop=[], - ) - except InvalidAuthenticationError as e: - raise CredentialsValidateFailedError(f"Invalid API key: {e}") - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - return self._num_tokens_from_messages(prompt_messages, tools) - - def _num_tokens_from_messages(self, messages: list[PromptMessage], tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for OpenLLM model - it's a generate model, so we just join them by spe - """ - messages = ",".join([message.content for message in messages]) - return self._get_num_tokens_by_gpt2(messages) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - client = OpenLLMGenerate() - response = client.generate( - model_name=model, - server_url=credentials["server_url"], - prompt_messages=[self._convert_prompt_message_to_openllm_message(message) for message in prompt_messages], - model_parameters=model_parameters, - stop=stop, - stream=stream, - user=user, - ) - - if stream: - return self._handle_chat_generate_stream_response( - model=model, prompt_messages=prompt_messages, credentials=credentials, response=response - ) - return self._handle_chat_generate_response( - model=model, prompt_messages=prompt_messages, credentials=credentials, response=response - ) - - def _convert_prompt_message_to_openllm_message(self, prompt_message: PromptMessage) -> OpenLLMGenerateMessage: - """ - convert PromptMessage to OpenLLMGenerateMessage so that we can use OpenLLMGenerateMessage interface - """ - if isinstance(prompt_message, UserPromptMessage): - return OpenLLMGenerateMessage(role=OpenLLMGenerateMessage.Role.USER.value, content=prompt_message.content) - elif isinstance(prompt_message, AssistantPromptMessage): - return OpenLLMGenerateMessage( - role=OpenLLMGenerateMessage.Role.ASSISTANT.value, content=prompt_message.content - ) - else: - raise NotImplementedError(f"Prompt message type {type(prompt_message)} is not supported") - - def _handle_chat_generate_response( - self, model: str, prompt_messages: list[PromptMessage], credentials: dict, response: OpenLLMGenerateMessage - ) -> LLMResult: - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=response.usage["prompt_tokens"], - completion_tokens=response.usage["completion_tokens"], - ) - return LLMResult( - model=model, - prompt_messages=prompt_messages, - message=AssistantPromptMessage( - content=response.content, - tool_calls=[], - ), - usage=usage, - ) - - def _handle_chat_generate_stream_response( - self, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Generator[OpenLLMGenerateMessage, None, None], - ) -> Generator[LLMResultChunk, None, None]: - for message in response: - if message.usage: - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=message.usage["prompt_tokens"], - completion_tokens=message.usage["completion_tokens"], - ) - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=message.content, tool_calls=[]), - usage=usage, - finish_reason=message.stop_reason or None, - ), - ) - else: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=message.content, tool_calls=[]), - finish_reason=message.stop_reason or None, - ), - ) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - rules = [ - ParameterRule( - name="temperature", - type=ParameterType.FLOAT, - use_template="temperature", - label=I18nObject(zh_Hans="温度", en_US="Temperature"), - ), - ParameterRule( - name="top_p", - type=ParameterType.FLOAT, - use_template="top_p", - label=I18nObject(zh_Hans="Top P", en_US="Top P"), - ), - ParameterRule( - name="top_k", - type=ParameterType.INT, - use_template="top_k", - min=1, - default=1, - label=I18nObject(zh_Hans="Top K", en_US="Top K"), - ), - ParameterRule( - name="max_tokens", - type=ParameterType.INT, - use_template="max_tokens", - min=1, - default=512, - label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"), - ), - ] - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.LLM, - model_properties={ - ModelPropertyKey.MODE: LLMMode.COMPLETION.value, - }, - parameter_rules=rules, - ) - - return entity - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [InternalServerError], - InvokeRateLimitError: [RateLimitReachedError], - InvokeAuthorizationError: [ - InvalidAuthenticationError, - InsufficientAccountBalanceError, - InvalidAPIKeyError, - ], - InvokeBadRequestError: [BadRequestError, KeyError], - } diff --git a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py b/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py deleted file mode 100644 index e9509b544d9f4e..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py +++ /dev/null @@ -1,199 +0,0 @@ -from collections.abc import Generator -from enum import Enum -from json import dumps, loads -from typing import Any, Optional, Union - -from requests import Response, post -from requests.exceptions import ConnectionError, InvalidSchema, MissingSchema - -from core.model_runtime.model_providers.openllm.llm.openllm_generate_errors import ( - BadRequestError, - InternalServerError, - InvalidAuthenticationError, -) - - -class OpenLLMGenerateMessage: - class Role(Enum): - USER = "user" - ASSISTANT = "assistant" - - role: str = Role.USER.value - content: str - usage: Optional[dict[str, int]] = None - stop_reason: str = "" - - def to_dict(self) -> dict[str, Any]: - return { - "role": self.role, - "content": self.content, - } - - def __init__(self, content: str, role: str = "user") -> None: - self.content = content - self.role = role - - -class OpenLLMGenerate: - def generate( - self, - *, - server_url: str, - model_name: str, - stream: bool, - model_parameters: dict[str, Any], - stop: list[str] | None = None, - prompt_messages: list[OpenLLMGenerateMessage], - user: str | None = None, - ) -> Union[Generator[OpenLLMGenerateMessage, None, None], OpenLLMGenerateMessage]: - if not server_url: - raise InvalidAuthenticationError("Invalid server URL") - - default_llm_config = { - "max_new_tokens": 128, - "min_length": 0, - "early_stopping": False, - "num_beams": 1, - "num_beam_groups": 1, - "use_cache": True, - "temperature": 0.75, - "top_k": 15, - "top_p": 0.9, - "typical_p": 1, - "epsilon_cutoff": 0, - "eta_cutoff": 0, - "diversity_penalty": 0, - "repetition_penalty": 1, - "encoder_repetition_penalty": 1, - "length_penalty": 1, - "no_repeat_ngram_size": 0, - "renormalize_logits": False, - "remove_invalid_values": False, - "num_return_sequences": 1, - "output_attentions": False, - "output_hidden_states": False, - "output_scores": False, - "encoder_no_repeat_ngram_size": 0, - "n": 1, - "presence_penalty": 0, - "frequency_penalty": 0, - "use_beam_search": False, - "ignore_eos": False, - "skip_special_tokens": True, - } - - if "max_tokens" in model_parameters and type(model_parameters["max_tokens"]) == int: - default_llm_config["max_new_tokens"] = model_parameters["max_tokens"] - - if "temperature" in model_parameters and type(model_parameters["temperature"]) == float: - default_llm_config["temperature"] = model_parameters["temperature"] - - if "top_p" in model_parameters and type(model_parameters["top_p"]) == float: - default_llm_config["top_p"] = model_parameters["top_p"] - - if "top_k" in model_parameters and type(model_parameters["top_k"]) == int: - default_llm_config["top_k"] = model_parameters["top_k"] - - if "use_cache" in model_parameters and type(model_parameters["use_cache"]) == bool: - default_llm_config["use_cache"] = model_parameters["use_cache"] - - headers = {"Content-Type": "application/json", "accept": "application/json"} - - if stream: - url = f"{server_url}/v1/generate_stream" - timeout = 10 - else: - url = f"{server_url}/v1/generate" - timeout = 120 - - data = { - "stop": stop or [], - "prompt": "\n".join([message.content for message in prompt_messages]), - "llm_config": default_llm_config, - } - - try: - response = post(url=url, data=dumps(data), timeout=timeout, stream=stream, headers=headers) - except (ConnectionError, InvalidSchema, MissingSchema) as e: - # cloud not connect to the server - raise InvalidAuthenticationError(f"Invalid server URL: {e}") - - if not response.ok: - resp = response.json() - msg = resp["msg"] - if response.status_code == 400: - raise BadRequestError(msg) - elif response.status_code == 404: - raise InvalidAuthenticationError(msg) - elif response.status_code == 500: - raise InternalServerError(msg) - else: - raise InternalServerError(msg) - - if stream: - return self._handle_chat_stream_generate_response(response) - return self._handle_chat_generate_response(response) - - def _handle_chat_generate_response(self, response: Response) -> OpenLLMGenerateMessage: - try: - data = response.json() - except Exception as e: - raise InternalServerError(f"Failed to convert response to json: {e} with text: {response.text}") - - message = data["outputs"][0] - text = message["text"] - token_ids = message["token_ids"] - prompt_token_ids = data["prompt_token_ids"] - stop_reason = message["finish_reason"] - - message = OpenLLMGenerateMessage(content=text, role=OpenLLMGenerateMessage.Role.ASSISTANT.value) - message.stop_reason = stop_reason - message.usage = { - "prompt_tokens": len(prompt_token_ids), - "completion_tokens": len(token_ids), - "total_tokens": len(prompt_token_ids) + len(token_ids), - } - - return message - - def _handle_chat_stream_generate_response( - self, response: Response - ) -> Generator[OpenLLMGenerateMessage, None, None]: - completion_usage = 0 - - for line in response.iter_lines(): - if not line: - continue - - line_str: str = line.decode("utf-8") - if line_str.startswith("data: "): - line_str = line_str[6:].strip() - - if line_str == "[DONE]": - return - - try: - data = loads(line_str) - except Exception as e: - raise InternalServerError(f"Failed to convert response to json: {e} with text: {line_str}") - - output = data["outputs"] - - for choice in output: - text = choice["text"] - token_ids = choice["token_ids"] - - completion_usage += len(token_ids) - message = OpenLLMGenerateMessage(content=text, role=OpenLLMGenerateMessage.Role.ASSISTANT.value) - - if choice.get("finish_reason"): - finish_reason = choice["finish_reason"] - prompt_token_ids = data["prompt_token_ids"] - message.stop_reason = finish_reason - message.usage = { - "prompt_tokens": len(prompt_token_ids), - "completion_tokens": completion_usage, - "total_tokens": completion_usage + len(prompt_token_ids), - } - - yield message diff --git a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate_errors.py b/api/core/model_runtime/model_providers/openllm/llm/openllm_generate_errors.py deleted file mode 100644 index 309b5cf413bd54..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate_errors.py +++ /dev/null @@ -1,22 +0,0 @@ -class InvalidAuthenticationError(Exception): - pass - - -class InvalidAPIKeyError(Exception): - pass - - -class RateLimitReachedError(Exception): - pass - - -class InsufficientAccountBalanceError(Exception): - pass - - -class InternalServerError(Exception): - pass - - -class BadRequestError(Exception): - pass diff --git a/api/core/model_runtime/model_providers/openllm/openllm.py b/api/core/model_runtime/model_providers/openllm/openllm.py deleted file mode 100644 index 80148021446944..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/openllm.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class OpenLLMProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/openllm/openllm.yaml b/api/core/model_runtime/model_providers/openllm/openllm.yaml deleted file mode 100644 index fef52695e3eeed..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/openllm.yaml +++ /dev/null @@ -1,37 +0,0 @@ -provider: openllm -label: - en_US: OpenLLM -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#F9FAFB" -help: - title: - en_US: How to deploy OpenLLM - zh_Hans: 如何部署 OpenLLM - url: - en_US: https://github.com/bentoml/OpenLLM -supported_model_types: - - llm - - text-embedding -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: server_url - label: - zh_Hans: 服务器URL - en_US: Server url - type: text-input - required: true - placeholder: - zh_Hans: 在此输入OpenLLM的服务器地址，如 http://192.168.1.100:3000 - en_US: Enter the url of your OpenLLM, e.g. http://192.168.1.100:3000 diff --git a/api/core/model_runtime/model_providers/openllm/text_embedding/__init__.py b/api/core/model_runtime/model_providers/openllm/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openllm/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/openllm/text_embedding/text_embedding.py deleted file mode 100644 index 43a2e948e2cee5..00000000000000 --- a/api/core/model_runtime/model_providers/openllm/text_embedding/text_embedding.py +++ /dev/null @@ -1,155 +0,0 @@ -import time -from json import dumps -from typing import Optional - -from requests import post -from requests.exceptions import ConnectionError, InvalidSchema, MissingSchema - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - - -class OpenLLMTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for OpenLLM text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - server_url = credentials["server_url"] - if not server_url: - raise CredentialsValidateFailedError("server_url is required") - - headers = {"Content-Type": "application/json", "accept": "application/json"} - - url = f"{server_url}/v1/embeddings" - - data = texts - try: - response = post(url, headers=headers, data=dumps(data)) - except (ConnectionError, InvalidSchema, MissingSchema) as e: - # cloud not connect to the server - raise InvokeAuthorizationError(f"Invalid server URL: {e}") - except Exception as e: - raise InvokeConnectionError(str(e)) - - if response.status_code != 200: - if response.status_code == 400: - raise InvokeBadRequestError(response.text) - elif response.status_code == 404: - raise InvokeAuthorizationError(response.text) - elif response.status_code == 500: - raise InvokeServerUnavailableError(response.text) - - try: - resp = response.json()[0] - embeddings = resp["embeddings"] - total_tokens = resp["num_tokens"] - except KeyError as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=total_tokens) - - result = TextEmbeddingResult(model=model, embeddings=embeddings, usage=usage) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - num_tokens = 0 - for text in texts: - # use GPT2Tokenizer to get num tokens - num_tokens += self._get_num_tokens_by_gpt2(text) - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except InvokeAuthorizationError: - raise CredentialsValidateFailedError("Invalid server_url") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/openrouter/__init__.py b/api/core/model_runtime/model_providers/openrouter/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter.svg b/api/core/model_runtime/model_providers/openrouter/_assets/openrouter.svg deleted file mode 100644 index 2e9590d923b8ef..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter.svg +++ /dev/null @@ -1,11 +0,0 @@ - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter_square.svg b/api/core/model_runtime/model_providers/openrouter/_assets/openrouter_square.svg deleted file mode 100644 index ed81fc041fc3e2..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/_assets/openrouter_square.svg +++ /dev/null @@ -1,10 +0,0 @@ - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/openrouter/llm/__init__.py b/api/core/model_runtime/model_providers/openrouter/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml b/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml deleted file mode 100644 index c404cc6ed34ea7..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/_position.yaml +++ /dev/null @@ -1,35 +0,0 @@ -- openai/o1-preview -- openai/o1-mini -- openai/o3-mini -- openai/o3-mini-2025-01-31 -- openai/gpt-4o -- openai/gpt-4o-mini -- openai/gpt-4 -- openai/gpt-4-32k -- openai/gpt-3.5-turbo -- anthropic/claude-3.5-sonnet -- anthropic/claude-3-haiku -- anthropic/claude-3-opus -- anthropic/claude-3-sonnet -- google/gemini-pro-1.5 -- google/gemini-flash-1.5 -- google/gemini-pro -- cohere/command-r-plus -- cohere/command-r -- meta-llama/llama-3.2-1b-instruct -- meta-llama/llama-3.2-3b-instruct -- meta-llama/llama-3.2-11b-vision-instruct -- meta-llama/llama-3.2-90b-vision-instruct -- meta-llama/llama-3.1-405b-instruct -- meta-llama/llama-3.1-70b-instruct -- meta-llama/llama-3.1-8b-instruct -- meta-llama/llama-3-70b-instruct -- meta-llama/llama-3-8b-instruct -- mistralai/mixtral-8x22b-instruct -- mistralai/mixtral-8x7b-instruct -- mistralai/mistral-7b-instruct -- qwen/qwen-2.5-72b-instruct -- qwen/qwen-2-72b-instruct -- deepseek/deepseek-r1 -- deepseek/deepseek-chat -- deepseek/deepseek-coder diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-haiku.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-haiku.yaml deleted file mode 100644 index de45093a72a85c..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-haiku.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: anthropic/claude-3-5-haiku -label: - en_US: claude-3-5-haiku -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 - - name: response_format - use_template: response_format -pricing: - input: "1" - output: "5" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-sonnet.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-sonnet.yaml deleted file mode 100644 index caed5a901db853..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-5-sonnet.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: anthropic/claude-3.5-sonnet -label: - en_US: claude-3.5-sonnet -model_type: llm -features: - - agent-thought - - vision - - tool-call - - stream-tool-call - - document -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 - - name: response_format - use_template: response_format -pricing: - input: "3.00" - output: "15.00" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-haiku.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-haiku.yaml deleted file mode 100644 index ce17d4123e5c13..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-haiku.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: anthropic/claude-3-haiku -label: - en_US: claude-3-haiku -model_type: llm -features: - - agent-thought - - vision - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 4096 - min: 1 - max: 4096 - - name: response_format - use_template: response_format -pricing: - input: "0.25" - output: "1.25" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-opus.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-opus.yaml deleted file mode 100644 index 68a92219eb0e52..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-opus.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: anthropic/claude-3-opus -label: - en_US: claude-3-opus -model_type: llm -features: - - agent-thought - - vision - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 4096 - min: 1 - max: 4096 - - name: response_format - use_template: response_format -pricing: - input: "15.00" - output: "75.00" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-sonnet.yaml b/api/core/model_runtime/model_providers/openrouter/llm/claude-3-sonnet.yaml deleted file mode 100644 index ede88459ca0ccc..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/claude-3-sonnet.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: anthropic/claude-3-sonnet -label: - en_US: claude-3-sonnet -model_type: llm -features: - - agent-thought - - vision - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 4096 - min: 1 - max: 4096 - - name: response_format - use_template: response_format -pricing: - input: "3.00" - output: "15.00" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/command-r-plus.yaml b/api/core/model_runtime/model_providers/openrouter/llm/command-r-plus.yaml deleted file mode 100644 index a23eb269d1084b..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/command-r-plus.yaml +++ /dev/null @@ -1,45 +0,0 @@ -model: cohere/command-r-plus -label: - en_US: command-r-plus -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - max: 5.0 - - name: top_p - use_template: top_p - default: 0.75 - min: 0.01 - max: 0.99 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 1024 - max: 4096 -pricing: - input: "3" - output: "15" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/command-r.yaml b/api/core/model_runtime/model_providers/openrouter/llm/command-r.yaml deleted file mode 100644 index 7165bf29b0c22c..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/command-r.yaml +++ /dev/null @@ -1,45 +0,0 @@ -model: cohere/command-r -label: - en_US: command-r -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - max: 5.0 - - name: top_p - use_template: top_p - default: 0.75 - min: 0.01 - max: 0.99 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - default: 0 - min: 0 - max: 500 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 1024 - max: 4096 -pricing: - input: "0.5" - output: "1.5" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml deleted file mode 100644 index c7982ec135231b..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-chat.yaml +++ /dev/null @@ -1,59 +0,0 @@ -model: deepseek/deepseek-chat -label: - en_US: deepseek-chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 1 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 1 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - default: 0 - min: -2.0 - max: 2.0 - help: - zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。 - en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content. -pricing: - input: "0.49" - output: "0.89" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-coder.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-coder.yaml deleted file mode 100644 index 375a4d2d52ed2a..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-coder.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: deepseek/deepseek-coder -label: - en_US: deepseek-coder -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - min: 1 - max: 4096 - default: 1024 -pricing: - input: "0.14" - output: "0.28" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml deleted file mode 100644 index 488b7dd4abdad6..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/deepseek-r1.yaml +++ /dev/null @@ -1,59 +0,0 @@ -model: deepseek/deepseek-r1 -label: - en_US: deepseek-r1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 163840 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 1 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 1 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - default: 0 - min: -2.0 - max: 2.0 - help: - zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。 - en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content. -pricing: - input: "3" - output: "8" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-flash.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-flash.yaml deleted file mode 100644 index 0b2f329b28ea49..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-flash.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: google/gemini-flash-1.5 -label: - en_US: gemini-flash-1.5 -model_type: llm -features: - - agent-thought - - vision - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 - - name: response_format - use_template: response_format -pricing: - input: "0.25" - output: "0.75" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-pro.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-pro.yaml deleted file mode 100644 index 679ce9bdcd443f..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gemini-1.5-pro.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: google/gemini-pro-1.5 -label: - en_US: gemini-pro-1.5 -model_type: llm -features: - - agent-thought - - vision - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 - - name: response_format - use_template: response_format -pricing: - input: "2.5" - output: "7.5" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gemini-pro.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gemini-pro.yaml deleted file mode 100644 index 9f5d96c5b82e64..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gemini-pro.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: google/gemini-pro -label: - en_US: gemini-pro -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 30720 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 2048 - min: 1 - max: 2048 - - name: response_format - use_template: response_format -pricing: - input: "0.125" - output: "0.375" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-3.5-turbo.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-3.5-turbo.yaml deleted file mode 100644 index 621ecf065e93d6..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-3.5-turbo.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: openai/gpt-3.5-turbo -label: - en_US: gpt-3.5-turbo -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 16385 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "0.5" - output: "1.5" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4-32k.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4-32k.yaml deleted file mode 100644 index 887e6d60f9c129..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4-32k.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: openai/gpt-4-32k -label: - en_US: gpt-4-32k -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 32768 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: - 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: - If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "60" - output: "120" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4.yaml deleted file mode 100644 index 66d1f9ae67eafd..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: openai/gpt-4 -label: - en_US: gpt-4 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 8192 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: - 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: - If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "30" - output: "60" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-2024-08-06.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-2024-08-06.yaml deleted file mode 100644 index 695cc3eedf5999..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-2024-08-06.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: gpt-4o-2024-08-06 -label: - zh_Hans: gpt-4o-2024-08-06 - en_US: gpt-4o-2024-08-06 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '2.50' - output: '10.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-mini.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-mini.yaml deleted file mode 100644 index e1e5889085f258..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o-mini.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: openai/gpt-4o-mini -label: - en_US: gpt-4o-mini -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 16384 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "0.15" - output: "0.60" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o.yaml b/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o.yaml deleted file mode 100644 index 560bf9d7d05dd6..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/gpt-4o.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: openai/gpt-4o -label: - en_US: gpt-4o -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "5.00" - output: "15.00" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3-70b-instruct.yaml deleted file mode 100644 index 04a4a90c6d6e34..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-70b-instruct.yaml +++ /dev/null @@ -1,32 +0,0 @@ -model: meta-llama/llama-3-70b-instruct -label: - en_US: llama-3-70b-instruct -model_type: llm -model_properties: - mode: completion - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 512 - min: 1 - max: 2048 -pricing: - input: "0.59" - output: "0.79" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3-8b-instruct.yaml deleted file mode 100644 index 066949d431eaa3..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3-8b-instruct.yaml +++ /dev/null @@ -1,32 +0,0 @@ -model: meta-llama/llama-3-8b-instruct -label: - en_US: llama-3-8b-instruct -model_type: llm -model_properties: - mode: completion - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 512 - min: 1 - max: 2048 -pricing: - input: "0.07" - output: "0.07" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-405b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-405b-instruct.yaml deleted file mode 100644 index 0cd89dea7164b8..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-405b-instruct.yaml +++ /dev/null @@ -1,32 +0,0 @@ -model: meta-llama/llama-3.1-405b-instruct -label: - en_US: llama-3.1-405b-instruct -model_type: llm -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 512 - min: 1 - max: 131072 -pricing: - input: "2.7" - output: "2.7" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-70b-instruct.yaml deleted file mode 100644 index 768ab5ecbb6788..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-70b-instruct.yaml +++ /dev/null @@ -1,32 +0,0 @@ -model: meta-llama/llama-3.1-70b-instruct -label: - en_US: llama-3.1-70b-instruct -model_type: llm -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 512 - min: 1 - max: 131072 -pricing: - input: "0.52" - output: "0.75" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-8b-instruct.yaml deleted file mode 100644 index 67b6b82b5d7e9d..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.1-8b-instruct.yaml +++ /dev/null @@ -1,32 +0,0 @@ -model: meta-llama/llama-3.1-8b-instruct -label: - en_US: llama-3.1-8b-instruct -model_type: llm -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - required: true - default: 512 - min: 1 - max: 131072 -pricing: - input: "0.06" - output: "0.06" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml deleted file mode 100644 index 6ad2c26cc862d4..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: meta-llama/llama-3.2-11b-vision-instruct -label: - zh_Hans: llama-3.2-11b-vision-instruct - en_US: llama-3.2-11b-vision-instruct -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - - name: max_tokens - use_template: max_tokens - - name: context_length_exceeded_behavior - default: None - label: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - help: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - type: string - options: - - None - - truncate - - error - - name: response_format - use_template: response_format -pricing: - input: '0.055' - output: '0.055' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-1b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-1b-instruct.yaml deleted file mode 100644 index 657ef16835f420..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-1b-instruct.yaml +++ /dev/null @@ -1,45 +0,0 @@ -model: meta-llama/llama-3.2-1b-instruct -label: - zh_Hans: llama-3.2-1b-instruct - en_US: llama-3.2-1b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - - name: max_tokens - use_template: max_tokens - - name: context_length_exceeded_behavior - default: None - label: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - help: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - type: string - options: - - None - - truncate - - error - - name: response_format - use_template: response_format -pricing: - input: '0.01' - output: '0.02' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-3b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-3b-instruct.yaml deleted file mode 100644 index 7f6e24e591aacc..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-3b-instruct.yaml +++ /dev/null @@ -1,45 +0,0 @@ -model: meta-llama/llama-3.2-3b-instruct -label: - zh_Hans: llama-3.2-3b-instruct - en_US: llama-3.2-3b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - - name: max_tokens - use_template: max_tokens - - name: context_length_exceeded_behavior - default: None - label: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - help: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - type: string - options: - - None - - truncate - - error - - name: response_format - use_template: response_format -pricing: - input: '0.03' - output: '0.05' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml deleted file mode 100644 index c264db0f206f35..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml +++ /dev/null @@ -1,46 +0,0 @@ -model: meta-llama/llama-3.2-90b-vision-instruct -label: - zh_Hans: llama-3.2-90b-vision-instruct - en_US: llama-3.2-90b-vision-instruct -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - - name: max_tokens - use_template: max_tokens - - name: context_length_exceeded_behavior - default: None - label: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - help: - zh_Hans: 上下文长度超出行为 - en_US: Context Length Exceeded Behavior - type: string - options: - - None - - truncate - - error - - name: response_format - use_template: response_format -pricing: - input: '0.35' - output: '0.4' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/llm.py b/api/core/model_runtime/model_providers/openrouter/llm/llm.py deleted file mode 100644 index 2d6ece81130fe3..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/llm.py +++ /dev/null @@ -1,92 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class OpenRouterLargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _update_credential(self, model: str, credentials: dict): - credentials["endpoint_url"] = "https://openrouter.ai/api/v1" - credentials["mode"] = self.get_model_mode(model).value - credentials["function_calling_type"] = "tool_call" - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._update_credential(model, credentials) - - return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._update_credential(model, credentials) - - return super().validate_credentials(model, credentials) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._update_credential(model, credentials) - return super()._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def _generate_block_as_stream( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - user: Optional[str] = None, - ) -> Generator: - resp = super()._generate(model, credentials, prompt_messages, model_parameters, tools, stop, False, user) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=resp.message, - usage=self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=resp.usage.prompt_tokens, - completion_tokens=resp.usage.completion_tokens, - ), - finish_reason="stop", - ), - ) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - self._update_credential(model, credentials) - - return super().get_customizable_model_schema(model, credentials) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - self._update_credential(model, credentials) - - return super().get_num_tokens(model, credentials, prompt_messages, tools) diff --git a/api/core/model_runtime/model_providers/openrouter/llm/mistral-7b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/mistral-7b-instruct.yaml deleted file mode 100644 index d08c016e95482f..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/mistral-7b-instruct.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: mistralai/mistral-7b-instruct -label: - en_US: mistral-7b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 2048 -pricing: - input: "0.07" - output: "0.07" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x22b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x22b-instruct.yaml deleted file mode 100644 index e3af0e64d8fe2c..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x22b-instruct.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: mistralai/mixtral-8x22b-instruct -label: - en_US: mixtral-8x22b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 64000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 -pricing: - input: "0.65" - output: "0.65" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x7b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x7b-instruct.yaml deleted file mode 100644 index 095ea5a858417e..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/mixtral-8x7b-instruct.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: mistralai/mixtral-8x7b-instruct -label: - zh_Hans: mixtral-8x7b-instruct - en_US: mixtral-8x7b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.7 - min: 0 - max: 1 - - name: top_p - use_template: top_p - default: 1 - min: 0 - max: 1 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8000 -pricing: - input: "0.24" - output: "0.24" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o1-mini.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o1-mini.yaml deleted file mode 100644 index f4202ee814e38c..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/o1-mini.yaml +++ /dev/null @@ -1,49 +0,0 @@ -model: openai/o1-mini -label: - en_US: o1-mini -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 65536 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "3.00" - output: "12.00" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o1-preview.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o1-preview.yaml deleted file mode 100644 index 1281b842862568..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/o1-preview.yaml +++ /dev/null @@ -1,49 +0,0 @@ -model: openai/o1-preview -label: - en_US: o1-preview -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 32768 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "15.00" - output: "60.00" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml deleted file mode 100644 index 0cb38c11e4b086..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini-2025-01-31.yaml +++ /dev/null @@ -1,49 +0,0 @@ -model: openai/o3-mini-2025-01-31 -label: - en_US: o3-mini-2025-01-31 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 100000 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "1.10" - output: "4.40" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml b/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml deleted file mode 100644 index 6fe38bd3f5c7d2..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/o3-mini.yaml +++ /dev/null @@ -1,49 +0,0 @@ -model: openai/o3-mini -label: - en_US: o3-mini -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 100000 - - name: response_format - label: - zh_Hans: 回复格式 - en_US: response_format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "1.10" - output: "4.40" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/qwen2-72b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/qwen2-72b-instruct.yaml deleted file mode 100644 index b6058138d30df5..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/qwen2-72b-instruct.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: qwen/qwen-2-72b-instruct -label: - en_US: qwen-2-72b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: "0.59" - output: "0.79" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/llm/qwen2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/openrouter/llm/qwen2.5-72b-instruct.yaml deleted file mode 100644 index 5392b111689a27..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/llm/qwen2.5-72b-instruct.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: qwen/qwen-2.5-72b-instruct -label: - en_US: qwen-2.5-72b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 8192 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: "0.35" - output: "0.4" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/openrouter/openrouter.py b/api/core/model_runtime/model_providers/openrouter/openrouter.py deleted file mode 100644 index 2e59ab50598b8b..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/openrouter.py +++ /dev/null @@ -1,20 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class OpenRouterProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="openai/gpt-3.5-turbo", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/openrouter/openrouter.yaml b/api/core/model_runtime/model_providers/openrouter/openrouter.yaml deleted file mode 100644 index f7536609ec5193..00000000000000 --- a/api/core/model_runtime/model_providers/openrouter/openrouter.yaml +++ /dev/null @@ -1,105 +0,0 @@ -provider: openrouter -label: - en_US: OpenRouter -icon_small: - en_US: openrouter_square.svg -icon_large: - en_US: openrouter.svg -background: "#F1EFED" -help: - title: - en_US: Get your API key from openrouter.ai - zh_Hans: 从 openrouter.ai 获取 API Key - url: - en_US: https://openrouter.ai/keys -supported_model_types: - - llm -configurate_methods: - - predefined-model - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter full model name - zh_Hans: 输入模型全称 - credential_form_schemas: - - variable: api_key - required: true - label: - en_US: API Key - type: secret-input - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: mode - show_on: - - variable: __model_type - value: llm - label: - en_US: Completion mode - type: select - required: false - default: chat - placeholder: - zh_Hans: 选择对话类型 - en_US: Select completion mode - options: - - value: completion - label: - en_US: Completion - zh_Hans: 补全 - - value: chat - label: - en_US: Chat - zh_Hans: 对话 - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: "4096" - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens_to_sample - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - show_on: - - variable: __model_type - value: llm - default: "4096" - type: text-input - - variable: vision_support - show_on: - - variable: __model_type - value: llm - label: - zh_Hans: 是否支持 Vision - en_US: Vision Support - type: radio - required: false - default: "no_support" - options: - - value: "support" - label: - en_US: "Yes" - zh_Hans: 是 - - value: "no_support" - label: - en_US: "No" - zh_Hans: 否 -provider_credential_schema: - credential_form_schemas: - - variable: api_key - required: true - label: - en_US: API Key - type: secret-input - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/perfxcloud/__init__.py b/api/core/model_runtime/model_providers/perfxcloud/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_l_en.svg deleted file mode 100644 index 060d9de3a95c30..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_l_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_s_en.svg deleted file mode 100644 index be0c2eeb1ccc48..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/_assets/icon_s_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Llama3-Chinese_v2.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Llama3-Chinese_v2.yaml deleted file mode 100644 index bf91468fcf56bf..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Llama3-Chinese_v2.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Llama3-Chinese_v2 -label: - en_US: Llama3-Chinese_v2 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-70B-Instruct-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-70B-Instruct-GPTQ-Int4.yaml deleted file mode 100644 index 781b837e8eceea..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-70B-Instruct-GPTQ-Int4.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Meta-Llama-3-70B-Instruct-GPTQ-Int4 -label: - en_US: Meta-Llama-3-70B-Instruct-GPTQ-Int4 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 1024 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-8B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-8B-Instruct.yaml deleted file mode 100644 index 67210e9020fe6a..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3-8B-Instruct.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Meta-Llama-3-8B-Instruct -label: - en_US: Meta-Llama-3-8B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-405B-Instruct-AWQ-INT4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-405B-Instruct-AWQ-INT4.yaml deleted file mode 100644 index 482632ff0673d2..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-405B-Instruct-AWQ-INT4.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Meta-Llama-3.1-405B-Instruct-AWQ-INT4 -label: - en_US: Meta-Llama-3.1-405B-Instruct-AWQ-INT4 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 410960 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-8B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-8B-Instruct.yaml deleted file mode 100644 index bbab46344c3a12..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Meta-Llama-3.1-8B-Instruct.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Meta-Llama-3.1-8B-Instruct -label: - en_US: Meta-Llama-3.1-8B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.1 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen-14B-Chat-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen-14B-Chat-Int4.yaml deleted file mode 100644 index ec6d9bcc149fdf..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen-14B-Chat-Int4.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Qwen-14B-Chat-Int4 -label: - en_US: Qwen-14B-Chat-Int4 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-110B-Chat-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-110B-Chat-GPTQ-Int4.yaml deleted file mode 100644 index b561a53039a78e..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-110B-Chat-GPTQ-Int4.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Qwen1.5-110B-Chat-GPTQ-Int4 -label: - en_US: Qwen1.5-110B-Chat-GPTQ-Int4 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 128 - min: 1 - max: 256 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-72B-Chat-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-72B-Chat-GPTQ-Int4.yaml deleted file mode 100644 index ddb6fd977c5a56..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-72B-Chat-GPTQ-Int4.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Qwen1.5-72B-Chat-GPTQ-Int4 -label: - en_US: Qwen1.5-72B-Chat-GPTQ-Int4 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 2048 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-7B.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-7B.yaml deleted file mode 100644 index 024c79dbcfd76c..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen1.5-7B.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: Qwen1.5-7B -label: - en_US: Qwen1.5-7B -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-AWQ-int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-AWQ-int4.yaml deleted file mode 100644 index 94f661f40d5c90..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-AWQ-int4.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Qwen2-72B-Instruct-AWQ-int4 -label: - en_US: Qwen2-72B-Instruct-AWQ-int4 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-GPTQ-Int4.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-GPTQ-Int4.yaml deleted file mode 100644 index a06f8d5ab18f4c..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct-GPTQ-Int4.yaml +++ /dev/null @@ -1,64 +0,0 @@ -model: Qwen2-72B-Instruct-GPTQ-Int4 -label: - en_US: Qwen2-72B-Instruct-GPTQ-Int4 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 2048 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.7 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct.yaml deleted file mode 100644 index cea6560295267a..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-72B-Instruct.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Qwen2-72B-Instruct -label: - en_US: Qwen2-72B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B-Instruct.yaml deleted file mode 100644 index 4369411399e72a..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B-Instruct.yaml +++ /dev/null @@ -1,63 +0,0 @@ -model: Qwen2-7B-Instruct -label: - en_US: Qwen2-7B-Instruct -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: completion - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B.yaml deleted file mode 100644 index d549ecd227dfb8..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2-7B.yaml +++ /dev/null @@ -1,64 +0,0 @@ -model: Qwen2-7B -label: - en_US: Qwen2-7B -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: completion - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-72B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-72B-Instruct.yaml deleted file mode 100644 index 15cbf01f1f66da..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-72B-Instruct.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Qwen2.5-72B-Instruct -label: - en_US: Qwen2.5-72B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 30720 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-7B-Instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-7B-Instruct.yaml deleted file mode 100644 index dadc8f8f3275e5..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Qwen2.5-7B-Instruct.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Qwen2.5-7B-Instruct -label: - en_US: Qwen2.5-7B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Reflection-Llama-3.1-70B.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Reflection-Llama-3.1-70B.yaml deleted file mode 100644 index 649be20b48abef..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Reflection-Llama-3.1-70B.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Reflection-Llama-3.1-70B -label: - en_US: Reflection-Llama-3.1-70B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 10240 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-1_5-9B-Chat-16K.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-1_5-9B-Chat-16K.yaml deleted file mode 100644 index 92eae6804f61fa..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-1_5-9B-Chat-16K.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Yi-1_5-9B-Chat-16K -label: - en_US: Yi-1_5-9B-Chat-16K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-1.5B-Chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-1.5B-Chat.yaml deleted file mode 100644 index 0e21ce148c39bd..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-1.5B-Chat.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Yi-Coder-1.5B-Chat -label: - en_US: Yi-Coder-1.5B-Chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 20480 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-9B-Chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-9B-Chat.yaml deleted file mode 100644 index 23b0841ce4ed65..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/Yi-Coder-9B-Chat.yaml +++ /dev/null @@ -1,61 +0,0 @@ -model: Yi-Coder-9B-Chat -label: - en_US: Yi-Coder-9B-Chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 20480 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/__init__.py b/api/core/model_runtime/model_providers/perfxcloud/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml deleted file mode 100644 index c6930e54f50aa4..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/_position.yaml +++ /dev/null @@ -1,23 +0,0 @@ -- Qwen2.5-72B-Instruct -- Qwen2.5-7B-Instruct -- Qwen2-72B-Instruct -- Qwen2-72B-Instruct-AWQ-int4 -- Qwen2-72B-Instruct-GPTQ-Int4 -- Qwen2-7B-Instruct -- Qwen2-7B -- Qwen1.5-110B-Chat-GPTQ-Int4 -- Qwen1.5-72B-Chat-GPTQ-Int4 -- Qwen1.5-7B -- Qwen-14B-Chat-Int4 -- Yi-Coder-1.5B-Chat -- Yi-Coder-9B-Chat -- Yi-1_5-9B-Chat-16K -- Reflection-Llama-3.1-70B -- Meta-Llama-3.1-8B-Instruct -- Meta-Llama-3.1-405B-Instruct-AWQ-INT4 -- Meta-Llama-3-70B-Instruct-GPTQ-Int4 -- Meta-Llama-3-8B-Instruct -- Llama3-Chinese_v2 -- deepseek-v2-lite-chat -- deepseek-v2-chat -- chatglm3-6b diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/chatglm3-6b.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/chatglm3-6b.yaml deleted file mode 100644 index 75d80f784a71f5..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/chatglm3-6b.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: chatglm3-6b -label: - en_US: chatglm3-6b -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-chat.yaml deleted file mode 100644 index fa9a7b7175e9dc..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-chat.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: deepseek-v2-chat -label: - en_US: deepseek-v2-chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-lite-chat.yaml b/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-lite-chat.yaml deleted file mode 100644 index 75a26d25051aea..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/deepseek-v2-lite-chat.yaml +++ /dev/null @@ -1,62 +0,0 @@ -model: deepseek-v2-lite-chat -label: - en_US: deepseek-v2-lite-chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 2048 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.5 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 600 - min: 1 - max: 1248 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. -pricing: - input: "0.000" - output: "0.000" - unit: "0.000" - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/llm/llm.py b/api/core/model_runtime/model_providers/perfxcloud/llm/llm.py deleted file mode 100644 index 89cac665aa5a08..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/llm/llm.py +++ /dev/null @@ -1,116 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union -from urllib.parse import urlparse - -import tiktoken - -from core.model_runtime.entities.llm_entities import LLMResult -from core.model_runtime.entities.message_entities import ( - PromptMessage, - PromptMessageTool, -) -from core.model_runtime.model_providers.openai.llm.llm import OpenAILargeLanguageModel - - -class PerfXCloudLargeLanguageModel(OpenAILargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - # refactored from openai model runtime, use cl100k_base for calculate token number - def _num_tokens_from_string(self, model: str, text: str, tools: Optional[list[PromptMessageTool]] = None) -> int: - """ - Calculate num tokens for text completion model with tiktoken package. - - :param model: model name - :param text: prompt text - :param tools: tools for tool calling - :return: number of tokens - """ - encoding = tiktoken.get_encoding("cl100k_base") - num_tokens = len(encoding.encode(text)) - - if tools: - num_tokens += self._num_tokens_for_tools(encoding, tools) - - return num_tokens - - # refactored from openai model runtime, use cl100k_base for calculate token number - def _num_tokens_from_messages( - self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None - ) -> int: - """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package. - - Official documentation: https://github.com/openai/openai-cookbook/blob/ - main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb""" - encoding = tiktoken.get_encoding("cl100k_base") - tokens_per_message = 3 - tokens_per_name = 1 - - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - # Cast str(value) in case the message value is not a string - # This occurs with function messages - # TODO: The current token calculation method for the image type is not implemented, - # which need to download the image and then get the resolution for calculation, - # and will increase the request delay - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += len(encoding.encode(t_key)) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += len(encoding.encode(f_key)) - num_tokens += len(encoding.encode(f_value)) - else: - num_tokens += len(encoding.encode(t_key)) - num_tokens += len(encoding.encode(t_value)) - else: - num_tokens += len(encoding.encode(str(value))) - - if key == "name": - num_tokens += tokens_per_name - - # every reply is primed with assistant - num_tokens += 3 - - if tools: - num_tokens += self._num_tokens_for_tools(encoding, tools) - - return num_tokens - - @staticmethod - def _add_custom_parameters(credentials: dict) -> None: - credentials["mode"] = "chat" - credentials["openai_api_key"] = credentials["api_key"] - if "endpoint_url" not in credentials or credentials["endpoint_url"] == "": - credentials["openai_api_base"] = "https://cloud.perfxlab.cn" - else: - parsed_url = urlparse(credentials["endpoint_url"]) - credentials["openai_api_base"] = f"{parsed_url.scheme}://{parsed_url.netloc}" diff --git a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.py b/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.py deleted file mode 100644 index 9a4ead031d018c..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class PerfXCloudProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.yaml b/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.yaml deleted file mode 100644 index 10ee691ebd0609..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/perfxcloud.yaml +++ /dev/null @@ -1,42 +0,0 @@ -provider: perfxcloud -label: - en_US: PerfXCloud - zh_Hans: PerfXCloud -description: - en_US: PerfXCloud (Pengfeng Technology) is an AI development and deployment platform tailored for developers and enterprises, providing reasoning capabilities for multiple models. - zh_Hans: PerfXCloud（澎峰科技）为开发者和企业量身打造的AI开发和部署平台，提供多种模型的的推理能力。 -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#e3f0ff" -help: - title: - en_US: Get your API Key from PerfXCloud - zh_Hans: 从 PerfXCloud 获取 API Key - url: - en_US: https://cloud.perfxlab.cn/panel/token -supported_model_types: - - llm - - text-embedding -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: endpoint_url - label: - zh_Hans: 自定义 API endpoint 地址 - en_US: Custom API endpoint URL - type: text-input - required: false - placeholder: - zh_Hans: Base URL, e.g. https://cloud.perfxlab.cn/v1 - en_US: Base URL, e.g. https://cloud.perfxlab.cn/v1 diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-en-v1.5.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-en-v1.5.yaml deleted file mode 100644 index 5756fb3d149d4c..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-en-v1.5.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: BAAI/bge-large-en-v1.5 -model_type: text-embedding -model_properties: - context_size: 32768 diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-zh-v1.5.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-zh-v1.5.yaml deleted file mode 100644 index 4204ab2860248b..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-large-zh-v1.5.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: BAAI/bge-large-zh-v1.5 -model_type: text-embedding -model_properties: - context_size: 32768 diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-m3.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-m3.yaml deleted file mode 100644 index 55488e56885d10..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/BAAI-bge-m3.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: BAAI/bge-m3 -model_type: text-embedding -model_properties: - context_size: 32768 diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/__init__.py b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml deleted file mode 100644 index 99163d42931b16..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/_position.yaml +++ /dev/null @@ -1,4 +0,0 @@ -- gte-Qwen2-7B-instruct -- BAAI/bge-large-en-v1.5 -- BAAI/bge-large-zh-v1.5 -- BAAI/bge-m3 diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml deleted file mode 100644 index 161d5ea9a2657e..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/gte-Qwen2-7B-instruct.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: gte-Qwen2-7B-instruct -model_type: text-embedding -model_properties: - context_size: 2048 -deprecated: true diff --git a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py deleted file mode 100644 index b3d9167bc66b77..00000000000000 --- a/api/core/model_runtime/model_providers/perfxcloud/text_embedding/text_embedding.py +++ /dev/null @@ -1,50 +0,0 @@ -from typing import Optional - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import ( - OAICompatEmbeddingModel, -) - - -class PerfXCloudEmbeddingModel(OAICompatEmbeddingModel): - """ - Model class for an OpenAI API-compatible text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - - if "endpoint_url" not in credentials or credentials["endpoint_url"] == "": - credentials["endpoint_url"] = "https://cloud.perfxlab.cn/v1/" - - return OAICompatEmbeddingModel._invoke(self, model, credentials, texts, user, input_type) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - if "endpoint_url" not in credentials or credentials["endpoint_url"] == "": - credentials["endpoint_url"] = "https://cloud.perfxlab.cn/v1/" - - OAICompatEmbeddingModel.validate_credentials(self, model, credentials) diff --git a/api/core/model_runtime/model_providers/replicate/__init__.py b/api/core/model_runtime/model_providers/replicate/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/replicate/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/replicate/_assets/icon_l_en.svg deleted file mode 100644 index 63c09470d54059..00000000000000 --- a/api/core/model_runtime/model_providers/replicate/_assets/icon_l_en.svg +++ /dev/null @@ -1,13 +0,0 @@ - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/replicate/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/replicate/_assets/icon_s_en.svg deleted file mode 100644 index 527316edb6f738..00000000000000 --- a/api/core/model_runtime/model_providers/replicate/_assets/icon_s_en.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - diff --git a/api/core/model_runtime/model_providers/replicate/_common.py b/api/core/model_runtime/model_providers/replicate/_common.py deleted file mode 100644 index 3e2cf2adb306db..00000000000000 --- a/api/core/model_runtime/model_providers/replicate/_common.py +++ /dev/null @@ -1,9 +0,0 @@ -from replicate.exceptions import ModelError, ReplicateError # type: ignore - -from core.model_runtime.errors.invoke import InvokeBadRequestError, InvokeError - - -class _CommonReplicate: - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return {InvokeBadRequestError: [ReplicateError, ModelError]} diff --git a/api/core/model_runtime/model_providers/replicate/llm/__init__.py b/api/core/model_runtime/model_providers/replicate/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/replicate/llm/llm.py b/api/core/model_runtime/model_providers/replicate/llm/llm.py deleted file mode 100644 index 1e7858100b0429..00000000000000 --- a/api/core/model_runtime/model_providers/replicate/llm/llm.py +++ /dev/null @@ -1,305 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from replicate import Client as ReplicateClient # type: ignore -from replicate.exceptions import ReplicateError # type: ignore -from replicate.prediction import Prediction # type: ignore - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageRole, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - ParameterRule, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.replicate._common import _CommonReplicate - - -class ReplicateLargeLanguageModel(_CommonReplicate, LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - model_version = "" - if "model_version" in credentials: - model_version = credentials["model_version"] - - client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30) - model_info = client.models.get(model) - - if model_version: - model_info_version = model_info.versions.get(model_version) - else: - model_info_version = model_info.latest_version - - inputs = {**model_parameters} - - if prompt_messages[0].role == PromptMessageRole.SYSTEM: - if "system_prompt" in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"]: - inputs["system_prompt"] = prompt_messages[0].content - inputs["prompt"] = prompt_messages[1].content - else: - inputs["prompt"] = prompt_messages[0].content - - prediction = client.predictions.create(version=model_info_version, input=inputs) - - if stream: - return self._handle_generate_stream_response(model, credentials, prediction, stop, prompt_messages) - return self._handle_generate_response(model, credentials, prediction, stop, prompt_messages) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - prompt = self._convert_messages_to_prompt(prompt_messages) - return self._get_num_tokens_by_gpt2(prompt) - - def validate_credentials(self, model: str, credentials: dict) -> None: - if "replicate_api_token" not in credentials: - raise CredentialsValidateFailedError("Replicate Access Token must be provided.") - - model_version = "" - if "model_version" in credentials: - model_version = credentials["model_version"] - - if model.count("/") != 1: - raise CredentialsValidateFailedError( - "Replicate Model Name must be provided, format: {user_name}/{model_name}" - ) - - try: - client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30) - model_info = client.models.get(model) - - if model_version: - model_info_version = model_info.versions.get(model_version) - else: - model_info_version = model_info.latest_version - - self._check_text_generation_model(model_info_version, model, model_version, model_info.description) - except ReplicateError as e: - raise CredentialsValidateFailedError( - f"Model {model}:{model_version} not exists, cause: {e.__class__.__name__}:{str(e)}" - ) - except Exception as e: - raise CredentialsValidateFailedError(str(e)) - - @staticmethod - def _check_text_generation_model(model_info_version, model_name, version, description): - if "language model" in description.lower(): - return - - if ( - "temperature" not in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"] - or "top_p" not in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"] - or "top_k" not in model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"] - ): - raise CredentialsValidateFailedError(f"Model {model_name}:{version} is not a Text Generation model.") - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - model_type = LLMMode.CHAT if model.endswith("-chat") else LLMMode.COMPLETION - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.LLM, - model_properties={ModelPropertyKey.MODE: model_type.value}, - parameter_rules=self._get_customizable_model_parameter_rules(model, credentials), - ) - - return entity - - @classmethod - def _get_customizable_model_parameter_rules(cls, model: str, credentials: dict) -> list[ParameterRule]: - model_version = "" - if "model_version" in credentials: - model_version = credentials["model_version"] - - client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30) - model_info = client.models.get(model) - - if model_version: - model_info_version = model_info.versions.get(model_version) - else: - model_info_version = model_info.latest_version - - parameter_rules = [] - - input_properties = sorted( - model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"].items(), - key=lambda item: item[1].get("x-order", 0), - ) - - for key, value in input_properties: - if key not in {"system_prompt", "prompt"} and "stop" not in key: - value_type = value.get("type") - - if not value_type: - continue - - param_type = cls._get_parameter_type(value_type) - - rule = ParameterRule( - name=key, - label={"en_US": value["title"]}, - type=param_type, - help={ - "en_US": value.get("description"), - }, - required=False, - default=value.get("default"), - min=value.get("minimum"), - max=value.get("maximum"), - ) - parameter_rules.append(rule) - - return parameter_rules - - def _handle_generate_stream_response( - self, - model: str, - credentials: dict, - prediction: Prediction, - stop: list[str], - prompt_messages: list[PromptMessage], - ) -> Generator: - index = -1 - current_completion: str = "" - stop_condition_reached = False - - prediction_output_length = 10000 - is_prediction_output_finished = False - - for output in prediction.output_iterator(): - current_completion += output - - if not is_prediction_output_finished and prediction.status == "succeeded": - prediction_output_length = len(prediction.output) - 1 - is_prediction_output_finished = True - - if stop: - for s in stop: - if s in current_completion: - prediction.cancel() - stop_index = current_completion.find(s) - current_completion = current_completion[:stop_index] - stop_condition_reached = True - break - - if stop_condition_reached: - break - - index += 1 - - assistant_prompt_message = AssistantPromptMessage(content=output or "") - - if index < prediction_output_length: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message), - ) - else: - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) - - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message, usage=usage), - ) - - def _handle_generate_response( - self, - model: str, - credentials: dict, - prediction: Prediction, - stop: list[str], - prompt_messages: list[PromptMessage], - ) -> LLMResult: - current_completion: str = "" - stop_condition_reached = False - for output in prediction.output_iterator(): - current_completion += output - - if stop: - for s in stop: - if s in current_completion: - prediction.cancel() - stop_index = current_completion.find(s) - current_completion = current_completion[:stop_index] - stop_condition_reached = True - break - - if stop_condition_reached: - break - - assistant_prompt_message = AssistantPromptMessage(content=current_completion) - - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) - - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - result = LLMResult( - model=model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - ) - - return result - - @classmethod - def _get_parameter_type(cls, param_type: str) -> str: - type_mapping = {"integer": "int", "number": "float", "boolean": "boolean", "string": "string"} - return type_mapping.get(param_type) - - def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str: - messages = messages.copy() # don't mutate the original list - - text = "".join(self._convert_one_message_to_text(message) for message in messages) - - return text.rstrip() - - @staticmethod - def _convert_one_message_to_text(message: PromptMessage) -> str: - human_prompt = "\n\nHuman:" - ai_prompt = "\n\nAssistant:" - content = message.content - - if isinstance(message, UserPromptMessage): - message_text = f"{human_prompt} {content}" - elif isinstance(message, AssistantPromptMessage): - message_text = f"{ai_prompt} {content}" - elif isinstance(message, SystemPromptMessage): - message_text = content - else: - raise ValueError(f"Got unknown type {message}") - - return message_text diff --git a/api/core/model_runtime/model_providers/replicate/replicate.py b/api/core/model_runtime/model_providers/replicate/replicate.py deleted file mode 100644 index ca137579c96f2c..00000000000000 --- a/api/core/model_runtime/model_providers/replicate/replicate.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class ReplicateProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/replicate/replicate.yaml b/api/core/model_runtime/model_providers/replicate/replicate.yaml deleted file mode 100644 index 9cad6d4f0df595..00000000000000 --- a/api/core/model_runtime/model_providers/replicate/replicate.yaml +++ /dev/null @@ -1,41 +0,0 @@ -provider: replicate -label: - en_US: Replicate -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#E5E7EB" -help: - title: - en_US: Get your API Key from Replicate - zh_Hans: 从 Replicate 获取 API Key - url: - en_US: https://replicate.com/account/api-tokens -supported_model_types: - - llm - - text-embedding -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - credential_form_schemas: - - variable: replicate_api_token - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 Replicate API Key - en_US: Enter your Replicate API Key - - variable: model_version - label: - en_US: Model Version - type: text-input - required: false - placeholder: - zh_Hans: 在此输入您的模型版本，默认为最新版本 - en_US: Enter your model version, default to the latest version diff --git a/api/core/model_runtime/model_providers/replicate/text_embedding/__init__.py b/api/core/model_runtime/model_providers/replicate/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/replicate/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/replicate/text_embedding/text_embedding.py deleted file mode 100644 index aaf825388a9043..00000000000000 --- a/api/core/model_runtime/model_providers/replicate/text_embedding/text_embedding.py +++ /dev/null @@ -1,152 +0,0 @@ -import json -import time -from typing import Optional - -from replicate import Client as ReplicateClient # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.replicate._common import _CommonReplicate - - -class ReplicateEmbeddingModel(_CommonReplicate, TextEmbeddingModel): - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30) - - if "model_version" in credentials: - model_version = credentials["model_version"] - else: - model_info = client.models.get(model) - model_version = model_info.latest_version.id - - replicate_model_version = f"{model}:{model_version}" - - text_input_key = self._get_text_input_key(model, model_version, client) - - embeddings = self._generate_embeddings_by_text_input_key(client, replicate_model_version, text_input_key, texts) - - tokens = self.get_num_tokens(model, credentials, texts) - usage = self._calc_response_usage(model, credentials, tokens) - - return TextEmbeddingResult(model=model, embeddings=embeddings, usage=usage) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - num_tokens = 0 - for text in texts: - num_tokens += self._get_num_tokens_by_gpt2(text) - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - if "replicate_api_token" not in credentials: - raise CredentialsValidateFailedError("Replicate Access Token must be provided.") - - try: - client = ReplicateClient(api_token=credentials["replicate_api_token"], timeout=30) - - if "model_version" in credentials: - model_version = credentials["model_version"] - else: - model_info = client.models.get(model) - model_version = model_info.latest_version.id - - replicate_model_version = f"{model}:{model_version}" - - text_input_key = self._get_text_input_key(model, model_version, client) - - self._generate_embeddings_by_text_input_key( - client, replicate_model_version, text_input_key, ["Hello worlds!"] - ) - except Exception as e: - raise CredentialsValidateFailedError(str(e)) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.TEXT_EMBEDDING, - model_properties={ModelPropertyKey.CONTEXT_SIZE: 4096, ModelPropertyKey.MAX_CHUNKS: 1}, - ) - return entity - - @staticmethod - def _get_text_input_key(model: str, model_version: str, client: ReplicateClient) -> str: - model_info = client.models.get(model) - model_info_version = model_info.versions.get(model_version) - - # sort through the openapi schema to get the name of text, texts or inputs - input_properties = sorted( - model_info_version.openapi_schema["components"]["schemas"]["Input"]["properties"].items(), - key=lambda item: item[1].get("x-order", 0), - ) - - for input_property in input_properties: - if input_property[0] in {"text", "texts", "inputs"}: - text_input_key = input_property[0] - return text_input_key - - return "" - - @staticmethod - def _generate_embeddings_by_text_input_key( - client: ReplicateClient, replicate_model_version: str, text_input_key: str, texts: list[str] - ) -> list[list[float]]: - if text_input_key in {"text", "inputs"}: - embeddings = [] - for text in texts: - result = client.run(replicate_model_version, input={text_input_key: text}) - embeddings.append(result[0].get("embedding")) - - return [list(map(float, e)) for e in embeddings] - elif text_input_key == "texts": - result = client.run( - replicate_model_version, - input={ - "texts": json.dumps(texts), - "batch_size": 4, - "convert_to_numpy": False, - "normalize_embeddings": True, - }, - ) - return result - else: - raise ValueError(f"embeddings input key is invalid: {text_input_key}") - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/sagemaker/__init__.py b/api/core/model_runtime/model_providers/sagemaker/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/sagemaker/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/sagemaker/_assets/icon_l_en.png deleted file mode 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zvgh61uFt|VP5JI*ef0PMNRN^cQk<8~EFrJ?LwXdYJh{-CTJF+|zzo_coWCzb-LqA! zlMf8cPTh!bdYUW85Zvs0kd1P6f)e;;3loVZzD?D4#y+3IAjJDE*625BtSI}hos9=X z(LBjqgdnr;Zr(Cd#3HSa&Kn|^Fe#nSi2*2q!Zz{!>cCppGm*<{47Fb;!3jVz!$b%S zSv@zh#qM{vdxyWSre+qlwqBwz{ezR<|1SJRsyJSQU;JECaEVIu5-cwf3H#B0(e2Ow OOmb4nk~QL{VgCa)i~r65 diff --git a/api/core/model_runtime/model_providers/sagemaker/llm/__init__.py b/api/core/model_runtime/model_providers/sagemaker/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/sagemaker/llm/llm.py b/api/core/model_runtime/model_providers/sagemaker/llm/llm.py deleted file mode 100644 index 3f12a68201883d..00000000000000 --- a/api/core/model_runtime/model_providers/sagemaker/llm/llm.py +++ /dev/null @@ -1,463 +0,0 @@ -import json -import logging -import re -from collections.abc import Generator, Iterator -from typing import Any, Optional, Union, cast - -import boto3 # type: ignore - -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContent, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - I18nObject, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel - -logger = logging.getLogger(__name__) - - -def inference(predictor, messages: list[dict[str, Any]], params: dict[str, Any], stop: list, stream=False): - """ - params: - predictor : Sagemaker Predictor - messages (List[Dict[str,Any]]): message list。 - messages = [ - {"role": "system", "content":"please answer in Chinese"}, - {"role": "user", "content": "who are you? what are you doing?"}, - ] - params (Dict[str,Any]): model parameters for LLM。 - stream (bool): False by default。 - - response: - result of inference if stream is False - Iterator of Chunks if stream is True - """ - payload = { - "model": params.get("model_name"), - "stop": stop, - "messages": messages, - "stream": stream, - "max_tokens": params.get("max_new_tokens", params.get("max_tokens", 2048)), - "temperature": params.get("temperature", 0.1), - "top_p": params.get("top_p", 0.9), - } - - if not stream: - response = predictor.predict(payload) - return response - else: - response_stream = predictor.predict_stream(payload) - return response_stream - - -class SageMakerLargeLanguageModel(LargeLanguageModel): - """ - Model class for Cohere large language model. - """ - - sagemaker_session: Any = None - predictor: Any = None - sagemaker_endpoint: str | None = None - - def _handle_chat_generate_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: bytes, - ) -> LLMResult: - """ - handle normal chat generate response - """ - resp_obj = json.loads(resp.decode("utf-8")) - resp_str = resp_obj.get("choices")[0].get("message").get("content") - - if len(resp_str) == 0: - raise InvokeServerUnavailableError("Empty response") - - assistant_prompt_message = AssistantPromptMessage(content=resp_str, tool_calls=[]) - - prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) - completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools) - - usage = self._calc_response_usage( - model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens - ) - - response = LLMResult( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=None, - usage=usage, - message=assistant_prompt_message, - ) - - return response - - def _handle_chat_stream_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: Iterator[bytes], - ) -> Generator: - """ - handle stream chat generate response - """ - full_response = "" - buffer = "" - for chunk_bytes in resp: - buffer += chunk_bytes.decode("utf-8") - last_idx = 0 - for match in re.finditer(r"^data:\s*(.+?)(\n\n)", buffer): - try: - data = json.loads(match.group(1).strip()) - last_idx = match.span()[1] - - if "content" in data["choices"][0]["delta"]: - chunk_content = data["choices"][0]["delta"]["content"] - assistant_prompt_message = AssistantPromptMessage(content=chunk_content, tool_calls=[]) - - if data["choices"][0]["finish_reason"] is not None: - temp_assistant_prompt_message = AssistantPromptMessage(content=full_response, tool_calls=[]) - prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) - completion_tokens = self._num_tokens_from_messages( - messages=[temp_assistant_prompt_message], tools=[] - ) - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=prompt_tokens, - completion_tokens=completion_tokens, - ) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=None, - delta=LLMResultChunkDelta( - index=0, - message=assistant_prompt_message, - finish_reason=data["choices"][0]["finish_reason"], - usage=usage, - ), - ) - else: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=None, - delta=LLMResultChunkDelta(index=0, message=assistant_prompt_message), - ) - - full_response += chunk_content - except (json.JSONDecodeError, KeyError, IndexError) as e: - logger.info("json parse exception, content: {}".format(match.group(1).strip())) - pass - - buffer = buffer[last_idx:] - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - from sagemaker import Predictor, serializers # type: ignore - from sagemaker.session import Session # type: ignore - - if not self.sagemaker_session: - access_key = credentials.get("aws_access_key_id") - secret_key = credentials.get("aws_secret_access_key") - aws_region = credentials.get("aws_region") - boto_session = None - if aws_region: - if access_key and secret_key: - boto_session = boto3.Session( - aws_access_key_id=access_key, aws_secret_access_key=secret_key, region_name=aws_region - ) - else: - boto_session = boto3.Session(region_name=aws_region) - else: - boto_session = boto3.Session() - - sagemaker_client = boto_session.client("sagemaker") - self.sagemaker_session = Session(boto_session=boto_session, sagemaker_client=sagemaker_client) - - if self.sagemaker_endpoint != credentials.get("sagemaker_endpoint"): - self.sagemaker_endpoint = credentials.get("sagemaker_endpoint") - self.predictor = Predictor( - endpoint_name=self.sagemaker_endpoint, - sagemaker_session=self.sagemaker_session, - serializer=serializers.JSONSerializer(), - ) - - messages: list[dict[str, Any]] = [{"role": p.role.value, "content": p.content} for p in prompt_messages] - response = inference( - predictor=self.predictor, messages=messages, params=model_parameters, stop=stop, stream=stream - ) - - if stream: - if tools and len(tools) > 0: - raise InvokeBadRequestError(f"{model}'s tool calls does not support stream mode") - - return self._handle_chat_stream_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response - ) - return self._handle_chat_generate_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response - ) - - def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict for OpenAI Compatibility API - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(PromptMessageContent, message_content) - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - sub_message_dict = { - "type": "image_url", - "image_url": {"url": message_content.data, "detail": message_content.detail.value}, - } - sub_messages.append(sub_message_dict) - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls and len(message.tool_calls) > 0: - message_dict["function_call"] = { - "name": message.tool_calls[0].function.name, - "arguments": message.tool_calls[0].function.arguments, - } - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - message_dict = {"tool_call_id": message.tool_call_id, "role": "tool", "content": message.content} - else: - raise ValueError(f"Unknown message type {type(message)}") - - return message_dict - - def _num_tokens_from_messages( - self, messages: list[PromptMessage], tools: list[PromptMessageTool], is_completion_model: bool = False - ) -> int: - def tokens(text: str): - return self._get_num_tokens_by_gpt2(text) - - if is_completion_model: - return sum(tokens(str(message.content)) for message in messages) - - tokens_per_message = 3 - tokens_per_name = 1 - - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += tokens(t_key) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += tokens(f_key) - num_tokens += tokens(f_value) - else: - num_tokens += tokens(t_key) - num_tokens += tokens(t_value) - if key == "function_call": - for t_key, t_value in value.items(): - num_tokens += tokens(t_key) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += tokens(f_key) - num_tokens += tokens(f_value) - else: - num_tokens += tokens(t_key) - num_tokens += tokens(t_value) - else: - num_tokens += tokens(str(value)) - - if key == "name": - num_tokens += tokens_per_name - num_tokens += 3 - - if tools: - num_tokens += self._num_tokens_for_tools(tools) - - return num_tokens - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: - """ - # get model mode - try: - return self._num_tokens_from_messages(prompt_messages, tools) - except Exception as e: - raise self._transform_invoke_error(e) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # get model mode - pass - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - rules = [ - ParameterRule( - name="temperature", - type=ParameterType.FLOAT, - use_template="temperature", - label=I18nObject(zh_Hans="温度", en_US="Temperature"), - ), - ParameterRule( - name="top_p", - type=ParameterType.FLOAT, - use_template="top_p", - label=I18nObject(zh_Hans="Top P", en_US="Top P"), - ), - ParameterRule( - name="max_tokens", - type=ParameterType.INT, - use_template="max_tokens", - min=1, - max=int(credentials.get("context_length", 2048)), - default=512, - label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"), - ), - ] - - completion_type = LLMMode.value_of(credentials["mode"]).value - - features = [] - - support_function_call = credentials.get("support_function_call", False) - if support_function_call: - features.append(ModelFeature.TOOL_CALL) - - support_vision = credentials.get("support_vision", False) - if support_vision: - features.append(ModelFeature.VISION) - - context_length = int(credentials.get("context_length", 2048)) - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.LLM, - features=features, - model_properties={ModelPropertyKey.MODE: completion_type, ModelPropertyKey.CONTEXT_SIZE: context_length}, - parameter_rules=rules, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/sagemaker/rerank/__init__.py b/api/core/model_runtime/model_providers/sagemaker/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py b/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py deleted file mode 100644 index 7daab6d8653d33..00000000000000 --- a/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py +++ /dev/null @@ -1,174 +0,0 @@ -import json -import logging -import operator -from typing import Any, Optional - -import boto3 # type: ignore - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - -logger = logging.getLogger(__name__) - - -class SageMakerRerankModel(RerankModel): - """ - Model class for SageMaker rerank model. - """ - - sagemaker_client: Any = None - - def _sagemaker_rerank(self, query_input: str, docs: list[str], rerank_endpoint: str): - inputs = [query_input] * len(docs) - response_model = self.sagemaker_client.invoke_endpoint( - EndpointName=rerank_endpoint, - Body=json.dumps({"inputs": inputs, "docs": docs}), - ContentType="application/json", - ) - json_str = response_model["Body"].read().decode("utf8") - json_obj = json.loads(json_str) - scores = json_obj["scores"] - return scores if isinstance(scores, list) else [scores] - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n - :param user: unique user id - :return: rerank result - """ - line = 0 - try: - if len(docs) == 0: - return RerankResult(model=model, docs=docs) - - line = 1 - if not self.sagemaker_client: - access_key = credentials.get("aws_access_key_id") - secret_key = credentials.get("aws_secret_access_key") - aws_region = credentials.get("aws_region") - if aws_region: - if access_key and secret_key: - self.sagemaker_client = boto3.client( - "sagemaker-runtime", - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=aws_region, - ) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime") - - line = 2 - - sagemaker_endpoint = credentials.get("sagemaker_endpoint") - candidate_docs = [] - - scores = self._sagemaker_rerank(query, docs, sagemaker_endpoint) - for idx in range(len(scores)): - candidate_docs.append({"content": docs[idx], "score": scores[idx]}) - - sorted(candidate_docs, key=operator.itemgetter("score"), reverse=True) - - line = 3 - rerank_documents = [] - for idx, result in enumerate(candidate_docs): - rerank_document = RerankDocument( - index=idx, text=result.get("content"), score=result.get("score", -100.0) - ) - - if score_threshold is not None: - if rerank_document.score >= score_threshold: - rerank_documents.append(rerank_document) - else: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - - except Exception as e: - logger.exception(f"Failed to invoke rerank model, model: {model}") - raise InvokeError(f"Failed to invoke rerank model, model: {model}, error: {str(e)}") - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.RERANK, - model_properties={}, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/sagemaker/sagemaker.py b/api/core/model_runtime/model_providers/sagemaker/sagemaker.py deleted file mode 100644 index 042155b1522fef..00000000000000 --- a/api/core/model_runtime/model_providers/sagemaker/sagemaker.py +++ /dev/null @@ -1,41 +0,0 @@ -import logging -import uuid -from typing import IO, Any - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class SageMakerProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - pass - - -def buffer_to_s3(s3_client: Any, file: IO[bytes], bucket: str, s3_prefix: str) -> str: - """ - return s3_uri of this file - """ - s3_key = f"{s3_prefix}{uuid.uuid4()}.mp3" - s3_client.put_object(Body=file.read(), Bucket=bucket, Key=s3_key, ContentType="audio/mp3") - return s3_key - - -def generate_presigned_url(s3_client: Any, file: IO[bytes], bucket_name: str, s3_prefix: str, expiration=600) -> str: - object_key = buffer_to_s3(s3_client, file, bucket_name, s3_prefix) - try: - response = s3_client.generate_presigned_url( - "get_object", Params={"Bucket": bucket_name, "Key": object_key}, ExpiresIn=expiration - ) - except Exception as e: - print(f"Error generating presigned URL: {e}") - return None - - return response diff --git a/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml b/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml deleted file mode 100644 index c4c94ea409a2fd..00000000000000 --- a/api/core/model_runtime/model_providers/sagemaker/sagemaker.yaml +++ /dev/null @@ -1,206 +0,0 @@ -provider: sagemaker -label: - zh_Hans: Sagemaker - en_US: Sagemaker -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -description: - en_US: Customized model on Sagemaker - zh_Hans: Sagemaker上的私有化部署的模型 -background: "#ECE9E3" -help: - title: - en_US: How to deploy customized model on Sagemaker - zh_Hans: 如何在Sagemaker上的私有化部署的模型 - url: - en_US: https://github.com/aws-samples/dify-aws-tool/blob/main/README.md#how-to-deploy-sagemaker-endpoint - zh_Hans: https://github.com/aws-samples/dify-aws-tool/blob/main/README_ZH.md#%E5%A6%82%E4%BD%95%E9%83%A8%E7%BD%B2sagemaker%E6%8E%A8%E7%90%86%E7%AB%AF%E7%82%B9 -supported_model_types: - - llm - - text-embedding - - rerank - - speech2text - - tts -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: mode - show_on: - - variable: __model_type - value: llm - label: - en_US: Completion mode - type: select - required: false - default: chat - placeholder: - zh_Hans: 选择对话类型 - en_US: Select completion mode - options: - - value: chat - label: - en_US: Chat - zh_Hans: Chat - - variable: sagemaker_endpoint - label: - en_US: sagemaker endpoint - type: text-input - required: true - placeholder: - zh_Hans: 请输出你的Sagemaker推理端点 - en_US: Enter your Sagemaker Inference endpoint - - variable: context_length - show_on: - - variable: __model_type - value: llm - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - type: text-input - default: '4096' - required: true - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: audio_s3_cache_bucket - show_on: - - variable: __model_type - value: speech2text - label: - zh_Hans: 音频缓存桶(s3 bucket) - en_US: audio cache bucket(s3 bucket) - type: text-input - required: true - placeholder: - zh_Hans: sagemaker-us-east-1-******207838 - en_US: sagemaker-us-east-1-*******7838 - - variable: audio_model_type - show_on: - - variable: __model_type - value: tts - label: - en_US: Audio model type - type: select - required: true - placeholder: - zh_Hans: 语音模型类型 - en_US: Audio model type - options: - - value: PresetVoice - label: - en_US: preset voice - zh_Hans: 内置音色 - - value: CloneVoice - label: - en_US: clone voice - zh_Hans: 克隆音色 - - value: CloneVoice_CrossLingual - label: - en_US: crosslingual clone voice - zh_Hans: 跨语种克隆音色 - - value: InstructVoice - label: - en_US: Instruct voice - zh_Hans: 文字指令音色 - - variable: prompt_audio - show_on: - - variable: __model_type - value: tts - label: - en_US: Mock Audio Source - type: text-input - required: false - placeholder: - zh_Hans: 被模仿的音色音频 - en_US: source audio to be mocked - - variable: prompt_text - show_on: - - variable: __model_type - value: tts - label: - en_US: Prompt Audio Text - type: text-input - required: false - placeholder: - zh_Hans: 模仿音色的对应文本 - en_US: text for the mocked source audio - - variable: instruct_text - show_on: - - variable: __model_type - value: tts - label: - en_US: instruct text for speaker - type: text-input - required: false - - variable: aws_access_key_id - required: false - label: - en_US: Access Key (If not provided, credentials are obtained from the running environment.) - zh_Hans: Access Key (如果未提供，凭证将从运行环境中获取。) - type: secret-input - placeholder: - en_US: Enter your Access Key - zh_Hans: 在此输入您的 Access Key - - variable: aws_secret_access_key - required: false - label: - en_US: Secret Access Key - zh_Hans: Secret Access Key - type: secret-input - placeholder: - en_US: Enter your Secret Access Key - zh_Hans: 在此输入您的 Secret Access Key - - variable: aws_region - required: false - label: - en_US: AWS Region - zh_Hans: AWS 地区 - type: select - default: us-east-1 - options: - - value: us-east-1 - label: - en_US: US East (N. Virginia) - zh_Hans: 美国东部 (弗吉尼亚北部) - - value: us-west-2 - label: - en_US: US West (Oregon) - zh_Hans: 美国西部 (俄勒冈州) - - value: ap-southeast-1 - label: - en_US: Asia Pacific (Singapore) - zh_Hans: 亚太地区 (新加坡) - - value: ap-northeast-1 - label: - en_US: Asia Pacific (Tokyo) - zh_Hans: 亚太地区 (东京) - - value: eu-central-1 - label: - en_US: Europe (Frankfurt) - zh_Hans: 欧洲 (法兰克福) - - value: us-gov-west-1 - label: - en_US: AWS GovCloud (US-West) - zh_Hans: AWS GovCloud (US-West) - - value: ap-southeast-2 - label: - en_US: Asia Pacific (Sydney) - zh_Hans: 亚太地区 (悉尼) - - value: cn-north-1 - label: - en_US: AWS Beijing (cn-north-1) - zh_Hans: 中国北京 (cn-north-1) - - value: cn-northwest-1 - label: - en_US: AWS Ningxia (cn-northwest-1) - zh_Hans: 中国宁夏 (cn-northwest-1) diff --git a/api/core/model_runtime/model_providers/sagemaker/speech2text/__init__.py b/api/core/model_runtime/model_providers/sagemaker/speech2text/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py b/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py deleted file mode 100644 index a6aca130456063..00000000000000 --- a/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py +++ /dev/null @@ -1,128 +0,0 @@ -import json -import logging -from typing import IO, Any, Optional - -import boto3 # type: ignore - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel -from core.model_runtime.model_providers.sagemaker.sagemaker import generate_presigned_url - -logger = logging.getLogger(__name__) - - -class SageMakerSpeech2TextModel(Speech2TextModel): - """ - Model class for Xinference speech to text model. - """ - - sagemaker_client: Any = None - s3_client: Any = None - - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - asr_text = None - - try: - if not self.sagemaker_client: - access_key = credentials.get("aws_access_key_id") - secret_key = credentials.get("aws_secret_access_key") - aws_region = credentials.get("aws_region") - if aws_region: - if access_key and secret_key: - self.sagemaker_client = boto3.client( - "sagemaker-runtime", - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=aws_region, - ) - self.s3_client = boto3.client( - "s3", aws_access_key_id=access_key, aws_secret_access_key=secret_key, region_name=aws_region - ) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region) - self.s3_client = boto3.client("s3", region_name=aws_region) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime") - self.s3_client = boto3.client("s3") - - s3_prefix = "dify/speech2text/" - sagemaker_endpoint = credentials.get("sagemaker_endpoint") - bucket = credentials.get("audio_s3_cache_bucket") - assert bucket is not None, "audio_s3_cache_bucket is required in credentials" - - s3_presign_url = generate_presigned_url(self.s3_client, file, bucket, s3_prefix) - payload = {"audio_s3_presign_uri": s3_presign_url} - - response_model = self.sagemaker_client.invoke_endpoint( - EndpointName=sagemaker_endpoint, Body=json.dumps(payload), ContentType="application/json" - ) - json_str = response_model["Body"].read().decode("utf8") - json_obj = json.loads(json_str) - asr_text = json_obj["text"] - except Exception as e: - logger.exception(f"failed to invoke speech2text model, model: {model}") - raise CredentialsValidateFailedError(str(e)) - - return asr_text - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - pass - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.SPEECH2TEXT, - model_properties={}, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/sagemaker/text_embedding/__init__.py b/api/core/model_runtime/model_providers/sagemaker/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py deleted file mode 100644 index e7eccd997d11c1..00000000000000 --- a/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py +++ /dev/null @@ -1,201 +0,0 @@ -import itertools -import json -import logging -import time -from typing import Any, Optional - -import boto3 # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - -BATCH_SIZE = 20 -CONTEXT_SIZE = 8192 - -logger = logging.getLogger(__name__) - - -def batch_generator(generator, batch_size): - while True: - batch = list(itertools.islice(generator, batch_size)) - if not batch: - break - yield batch - - -class SageMakerEmbeddingModel(TextEmbeddingModel): - """ - Model class for Cohere text embedding model. - """ - - sagemaker_client: Any = None - - def _sagemaker_embedding(self, sm_client, endpoint_name, content_list: list[str]): - response_model = sm_client.invoke_endpoint( - EndpointName=endpoint_name, - Body=json.dumps({"inputs": content_list, "parameters": {}, "is_query": False, "instruction": ""}), - ContentType="application/json", - ) - json_str = response_model["Body"].read().decode("utf8") - json_obj = json.loads(json_str) - embeddings = json_obj["embeddings"] - return embeddings - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - # get model properties - try: - line = 1 - if not self.sagemaker_client: - access_key = credentials.get("aws_access_key_id") - secret_key = credentials.get("aws_secret_access_key") - aws_region = credentials.get("aws_region") - if aws_region: - if access_key and secret_key: - self.sagemaker_client = boto3.client( - "sagemaker-runtime", - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=aws_region, - ) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime") - - line = 2 - sagemaker_endpoint = credentials.get("sagemaker_endpoint") - - line = 3 - truncated_texts = [item[:CONTEXT_SIZE] for item in texts] - - batches = batch_generator((text for text in truncated_texts), batch_size=BATCH_SIZE) - all_embeddings = [] - - line = 4 - for batch in batches: - embeddings = self._sagemaker_embedding(self.sagemaker_client, sagemaker_endpoint, batch) - all_embeddings.extend(embeddings) - - line = 5 - # calc usage - usage = self._calc_response_usage( - model=model, - credentials=credentials, - tokens=0, # It's not SAAS API, usage is meaningless - ) - line = 6 - - return TextEmbeddingResult(embeddings=all_embeddings, usage=usage, model=model) - - except Exception as e: - logger.exception(f"Failed to invoke text embedding model, model: {model}, line: {line}") - raise InvokeError(str(e)) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - return 0 - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - print("validate_credentials ok....") - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.TEXT_EMBEDDING, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: CONTEXT_SIZE, - ModelPropertyKey.MAX_CHUNKS: BATCH_SIZE, - }, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/sagemaker/tts/__init__.py b/api/core/model_runtime/model_providers/sagemaker/tts/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/sagemaker/tts/tts.py b/api/core/model_runtime/model_providers/sagemaker/tts/tts.py deleted file mode 100644 index 62231c518deef1..00000000000000 --- a/api/core/model_runtime/model_providers/sagemaker/tts/tts.py +++ /dev/null @@ -1,275 +0,0 @@ -import concurrent.futures -import copy -import json -import logging -from enum import Enum -from typing import Any, Optional - -import boto3 # type: ignore -import requests - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.model_providers.__base.tts_model import TTSModel - -logger = logging.getLogger(__name__) - - -class TTSModelType(Enum): - PresetVoice = "PresetVoice" - CloneVoice = "CloneVoice" - CloneVoice_CrossLingual = "CloneVoice_CrossLingual" - InstructVoice = "InstructVoice" - - -class SageMakerText2SpeechModel(TTSModel): - sagemaker_client: Any = None - s3_client: Any = None - comprehend_client: Any = None - - def __init__(self): - # preset voices, need support custom voice - self.model_voices = { - "__default": { - "all": [ - {"name": "Default", "value": "default"}, - ] - }, - "CosyVoice": { - "zh-Hans": [ - {"name": "中文男", "value": "中文男"}, - {"name": "中文女", "value": "中文女"}, - {"name": "粤语女", "value": "粤语女"}, - ], - "zh-Hant": [ - {"name": "中文男", "value": "中文男"}, - {"name": "中文女", "value": "中文女"}, - {"name": "粤语女", "value": "粤语女"}, - ], - "en-US": [ - {"name": "英文男", "value": "英文男"}, - {"name": "英文女", "value": "英文女"}, - ], - "ja-JP": [ - {"name": "日语男", "value": "日语男"}, - ], - "ko-KR": [ - {"name": "韩语女", "value": "韩语女"}, - ], - }, - } - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - pass - - def _detect_lang_code(self, content: str, map_dict: Optional[dict] = None): - map_dict = {"zh": "<|zh|>", "en": "<|en|>", "ja": "<|jp|>", "zh-TW": "<|yue|>", "ko": "<|ko|>"} - - response = self.comprehend_client.detect_dominant_language(Text=content) - language_code = response["Languages"][0]["LanguageCode"] - - return map_dict.get(language_code, "<|zh|>") - - def _build_tts_payload( - self, - model_type: str, - content_text: str, - model_role: str, - prompt_text: str, - prompt_audio: str, - instruct_text: str, - ): - if model_type == TTSModelType.PresetVoice.value and model_role: - return {"tts_text": content_text, "role": model_role} - if model_type == TTSModelType.CloneVoice.value and prompt_text and prompt_audio: - return {"tts_text": content_text, "prompt_text": prompt_text, "prompt_audio": prompt_audio} - if model_type == TTSModelType.CloneVoice_CrossLingual.value and prompt_audio: - lang_tag = self._detect_lang_code(content_text) - return {"tts_text": f"{content_text}", "prompt_audio": prompt_audio, "lang_tag": lang_tag} - if model_type == TTSModelType.InstructVoice.value and instruct_text and model_role: - return {"tts_text": content_text, "role": model_role, "instruct_text": instruct_text} - - raise RuntimeError(f"Invalid params for {model_type}") - - def _invoke( - self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None - ): - """ - _invoke text2speech model - - :param model: model name - :param tenant_id: user tenant id - :param credentials: model credentials - :param voice: model timbre - :param content_text: text content to be translated - :param user: unique user id - :return: text translated to audio file - """ - if not self.sagemaker_client: - access_key = credentials.get("aws_access_key_id") - secret_key = credentials.get("aws_secret_access_key") - aws_region = credentials.get("aws_region") - if aws_region: - if access_key and secret_key: - self.sagemaker_client = boto3.client( - "sagemaker-runtime", - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=aws_region, - ) - self.s3_client = boto3.client( - "s3", aws_access_key_id=access_key, aws_secret_access_key=secret_key, region_name=aws_region - ) - self.comprehend_client = boto3.client( - "comprehend", - aws_access_key_id=access_key, - aws_secret_access_key=secret_key, - region_name=aws_region, - ) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region) - self.s3_client = boto3.client("s3", region_name=aws_region) - self.comprehend_client = boto3.client("comprehend", region_name=aws_region) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime") - self.s3_client = boto3.client("s3") - self.comprehend_client = boto3.client("comprehend") - - model_type = credentials.get("audio_model_type", "PresetVoice") - prompt_text = credentials.get("prompt_text") - prompt_audio = credentials.get("prompt_audio") - instruct_text = credentials.get("instruct_text") - sagemaker_endpoint = credentials.get("sagemaker_endpoint") - payload = self._build_tts_payload(model_type, content_text, voice, prompt_text, prompt_audio, instruct_text) - - return self._tts_invoke_streaming(model_type, payload, sagemaker_endpoint) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.TTS, - model_properties={}, - parameter_rules=[], - ) - - return entity - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError], - } - - def _get_model_default_voice(self, model: str, credentials: dict) -> Any: - return "" - - def _get_model_word_limit(self, model: str, credentials: dict) -> int: - return 15 - - def _get_model_audio_type(self, model: str, credentials: dict) -> str: - return "mp3" - - def _get_model_workers_limit(self, model: str, credentials: dict) -> int: - return 5 - - def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list: - audio_model_name = "CosyVoice" - for key, voices in self.model_voices.items(): - if key in audio_model_name: - if language and language in voices: - return voices[language] - elif "all" in voices: - return voices["all"] - - return self.model_voices["__default"]["all"] - - def _invoke_sagemaker(self, payload: dict, endpoint: str): - response_model = self.sagemaker_client.invoke_endpoint( - EndpointName=endpoint, - Body=json.dumps(payload), - ContentType="application/json", - ) - json_str = response_model["Body"].read().decode("utf8") - json_obj = json.loads(json_str) - return json_obj - - def _tts_invoke_streaming(self, model_type: str, payload: dict, sagemaker_endpoint: str) -> Any: - """ - _tts_invoke_streaming text2speech model - - :param model: model name - :param credentials: model credentials - :param content_text: text content to be translated - :param voice: model timbre - :return: text translated to audio file - """ - try: - lang_tag = "" - if model_type == TTSModelType.CloneVoice_CrossLingual.value: - lang_tag = payload.pop("lang_tag") - - word_limit = self._get_model_word_limit(model="", credentials={}) - content_text = payload.get("tts_text") - if len(content_text) > word_limit: - split_sentences = self._split_text_into_sentences(content_text, max_length=word_limit) - sentences = [f"{lang_tag}{s}" for s in split_sentences if len(s)] - len_sent = len(sentences) - executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(4, len_sent)) - payloads = [copy.deepcopy(payload) for i in range(len_sent)] - for idx in range(len_sent): - payloads[idx]["tts_text"] = sentences[idx] - - futures = [ - executor.submit( - self._invoke_sagemaker, - payload=payload, - endpoint=sagemaker_endpoint, - ) - for payload in payloads - ] - - for future in futures: - resp = future.result() - audio_bytes = requests.get(resp.get("s3_presign_url")).content - for i in range(0, len(audio_bytes), 1024): - yield audio_bytes[i : i + 1024] - else: - resp = self._invoke_sagemaker(payload, sagemaker_endpoint) - audio_bytes = requests.get(resp.get("s3_presign_url")).content - - for i in range(0, len(audio_bytes), 1024): - yield audio_bytes[i : i + 1024] - except Exception as ex: - raise InvokeBadRequestError(str(ex)) diff --git a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg deleted file mode 100644 index 16e406f030225b..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg deleted file mode 100644 index ad6b384f7acd21..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml deleted file mode 100644 index f7b03e1254da2c..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml +++ /dev/null @@ -1,84 +0,0 @@ -model: OpenGVLab/InternVL2-26B -label: - en_US: OpenGVLab/InternVL2-26B -model_type: llm -features: - - vision -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '21' - output: '21' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml deleted file mode 100644 index 1e858bb4beb77c..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml +++ /dev/null @@ -1,84 +0,0 @@ -model: Pro/OpenGVLab/InternVL2-8B -label: - en_US: Pro/OpenGVLab/InternVL2-8B -model_type: llm -features: - - vision -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '21' - output: '21' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml deleted file mode 100644 index 2da670d4df3025..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml +++ /dev/null @@ -1,39 +0,0 @@ -- Qwen/QwQ-32B-Preview -- Qwen/Qwen2.5-72B-Instruct -- Qwen/Qwen2.5-32B-Instruct -- Qwen/Qwen2.5-14B-Instruct -- Qwen/Qwen2.5-7B-Instruct -- Qwen/Qwen2.5-Coder-32B-Instruct -- Qwen/Qwen2.5-Coder-7B-Instruct -- Qwen/Qwen2-VL-72B-Instruct -- Qwen/Qwen2-1.5B-Instruct -- Qwen/Qwen2.5-72B-Instruct-128K -- Vendor-A/Qwen/Qwen2.5-72B-Instruct -- Pro/Qwen/Qwen2-VL-7B-Instruct -- OpenGVLab/InternVL2-26B -- Pro/OpenGVLab/InternVL2-8B -- deepseek-ai/DeepSeek-R1 -- deepseek-ai/DeepSeek-V2-Chat -- deepseek-ai/DeepSeek-V2.5 -- deepseek-ai/DeepSeek-V3 -- deepseek-ai/DeepSeek-Coder-V2-Instruct -- deepseek-ai/DeepSeek-R1-Distill-Llama-8B -- deepseek-ai/DeepSeek-R1-Distill-Llama-70B -- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B -- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B -- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B -- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B -- deepseek-ai/Janus-Pro-7B -- THUDM/glm-4-9b-chat -- 01-ai/Yi-1.5-34B-Chat-16K -- 01-ai/Yi-1.5-9B-Chat-16K -- 01-ai/Yi-1.5-6B-Chat -- internlm/internlm2_5-20b-chat -- internlm/internlm2_5-7b-chat -- meta-llama/Llama-3.3-70B-Instruct -- meta-llama/Meta-Llama-3.1-405B-Instruct -- meta-llama/Meta-Llama-3.1-70B-Instruct -- meta-llama/Meta-Llama-3.1-8B-Instruct -- google/gemma-2-27b-it -- google/gemma-2-9b-it -- Tencent/Hunyuan-A52B-Instruct diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml deleted file mode 100644 index b13a2a751c1be9..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: deepseek-ai/DeepSeek-Coder-V2-Instruct -label: - en_US: deepseek-ai/DeepSeek-Coder-V2-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '1.33' - output: '1.33' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml deleted file mode 100644 index 59e0b4d68ecd6e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B -label: - zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-70B - en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-70B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.00" - output: "4.3" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml deleted file mode 100644 index f3256aa5a0e26e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B -label: - zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-8B - en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-8B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.00" - output: "0.00" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml deleted file mode 100644 index 72972786545d2f..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B -label: - zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B - en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.00" - output: "1.26" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml deleted file mode 100644 index 24b5c89ebf00da..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B -label: - zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B - en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.00" - output: "0.70" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml deleted file mode 100644 index 2a8cce1f961e66..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B -label: - zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B - en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.00" - output: "1.26" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml deleted file mode 100644 index cde1c14aae25e1..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B -label: - zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B - en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.00" - output: "0.00" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml deleted file mode 100644 index 44c6a9d55e4913..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-r1.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-ai/DeepSeek-R1 -label: - zh_Hans: deepseek-ai/DeepSeek-R1 - en_US: deepseek-ai/DeepSeek-R1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "4" - output: "16" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml deleted file mode 100644 index 00bdb0ddf57fc9..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: deepseek-ai/DeepSeek-V2-Chat -label: - en_US: deepseek-ai/DeepSeek-V2-Chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '1.33' - output: '1.33' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml deleted file mode 100644 index 511cc1df9f0e19..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: deepseek-ai/DeepSeek-V2.5 -label: - en_US: deepseek-ai/DeepSeek-V2.5 -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.33' - output: '1.33' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml deleted file mode 100644 index ed1a5f00992b7c..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v3.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: deepseek-ai/DeepSeek-V3 -label: - en_US: deepseek-ai/DeepSeek-V3 -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "1" - output: "2" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml deleted file mode 100644 index 7fd7adb7532969..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: google/gemma-2-27b-it -label: - en_US: google/gemma-2-27b-it -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8196 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.26' - output: '1.26' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml deleted file mode 100644 index ab548e4409a1c1..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: google/gemma-2-9b-it -label: - en_US: google/gemma-2-9b-it -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8196 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml deleted file mode 100644 index 43c5b344a03a41..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: THUDM/glm-4-9b-chat -label: - en_US: THUDM/glm-4-9b-chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml deleted file mode 100644 index 51d6c024ff5325..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml +++ /dev/null @@ -1,85 +0,0 @@ -model: Tencent/Hunyuan-A52B-Instruct -label: - en_US: Tencent/Hunyuan-A52B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '21' - output: '21' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml deleted file mode 100644 index a5ae3674c98617..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-20b-chat.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: internlm/internlm2_5-20b-chat -label: - en_US: internlm/internlm2_5-20b-chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1' - output: '1' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-7b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-7b-chat.yaml deleted file mode 100644 index dec856ed2e55bb..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/internlm2_5-7b-chat.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: internlm/internlm2_5-7b-chat -label: - en_US: internlm/internlm2_5-7b-chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/internvl2-llama3-76b.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/internvl2-llama3-76b.yaml deleted file mode 100644 index b5443df18c0f8c..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/internvl2-llama3-76b.yaml +++ /dev/null @@ -1,85 +0,0 @@ -model: OpenGVLab/InternVL2-Llama3-76B -label: - en_US: OpenGVLab/InternVL2-Llama3-76B -model_type: llm -features: - - vision -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '21' - output: '21' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml deleted file mode 100644 index dabbd745e5f5d3..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/janus-pro-7B.yaml +++ /dev/null @@ -1,22 +0,0 @@ -model: deepseek-ai/Janus-Pro-7B -label: - zh_Hans: deepseek-ai/Janus-Pro-7B - en_US: deepseek-ai/Janus-Pro-7B -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.00" - output: "0.00" - unit: "0.000001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py deleted file mode 100644 index dffe32149608dd..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py +++ /dev/null @@ -1,94 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult -from core.model_runtime.entities.message_entities import ( - PromptMessage, - PromptMessageTool, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class SiliconflowLargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - @classmethod - def _add_custom_parameters(cls, credentials: dict) -> None: - credentials["mode"] = "chat" - credentials["endpoint_url"] = "https://api.siliconflow.cn/v1" - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - return AIModelEntity( - model=model, - label=I18nObject(en_US=model, zh_Hans=model), - model_type=ModelType.LLM, - features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL] - if credentials.get("function_calling_type") == "tool_call" - else [], - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)), - ModelPropertyKey.MODE: LLMMode.CHAT.value, - }, - parameter_rules=[ - ParameterRule( - name="temperature", - use_template="temperature", - label=I18nObject(en_US="Temperature", zh_Hans="温度"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="max_tokens", - use_template="max_tokens", - default=512, - min=1, - max=int(credentials.get("max_tokens", 1024)), - label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"), - type=ParameterType.INT, - ), - ParameterRule( - name="top_p", - use_template="top_p", - label=I18nObject(en_US="Top P", zh_Hans="Top P"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="top_k", - use_template="top_k", - label=I18nObject(en_US="Top K", zh_Hans="Top K"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="frequency_penalty", - use_template="frequency_penalty", - label=I18nObject(en_US="Frequency Penalty", zh_Hans="重复惩罚"), - type=ParameterType.FLOAT, - ), - ], - ) diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml deleted file mode 100644 index 9373a8f4ca9f4a..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: meta-llama/Llama-3.3-70B-Instruct -label: - en_US: meta-llama/Llama-3.3-70B-Instruct -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-70b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-70b-instruct.yaml deleted file mode 100644 index 98250907595206..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-70b-instruct.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: meta-llama/Meta-Llama-3-70B-Instruct -label: - en_US: meta-llama/Meta-Llama-3-70B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-8b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-8b-instruct.yaml deleted file mode 100644 index 0133fd15d45c2e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3-8b-instruct.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: meta-llama/Meta-Llama-3-8B-Instruct -label: - en_US: meta-llama/Meta-Llama-3-8B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-405b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-405b-instruct.yaml deleted file mode 100644 index ceebbac5150f83..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-405b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: meta-llama/Meta-Llama-3.1-405B-Instruct -label: - en_US: meta-llama/Meta-Llama-3.1-405B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '21' - output: '21' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-70b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-70b-instruct.yaml deleted file mode 100644 index f1fbb74cbdea5f..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-70b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: meta-llama/Meta-Llama-3.1-70B-Instruct -label: - en_US: meta-llama/Meta-Llama-3.1-70B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-8b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-8b-instruct.yaml deleted file mode 100644 index a9a43545e88ae3..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/meta-mlama-3.1-8b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: meta-llama/Meta-Llama-3.1-8B-Instruct -label: - en_US: meta-llama/Meta-Llama-3.1-8B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-7b-instruct-v0.2.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/mistral-7b-instruct-v0.2.yaml deleted file mode 100644 index a71d8688a87962..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-7b-instruct-v0.2.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: mistralai/Mistral-7B-Instruct-v0.2 -label: - en_US: mistralai/Mistral-7B-Instruct-v0.2 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-8x7b-instruct-v0.1.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/mistral-8x7b-instruct-v0.1.yaml deleted file mode 100644 index db45a75c6de019..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/mistral-8x7b-instruct-v0.1.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: mistralai/Mixtral-8x7B-Instruct-v0.1 -label: - en_US: mistralai/Mixtral-8x7B-Instruct-v0.1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '1.26' - output: '1.26' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qvq-72B-preview.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qvq-72B-preview.yaml deleted file mode 100644 index dada6bb803f0b2..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qvq-72B-preview.yaml +++ /dev/null @@ -1,54 +0,0 @@ -model: Qwen/QVQ-72B-Preview -label: - en_US: Qwen/QVQ-72B-Preview -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call - - vision -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 16384 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '9.90' - output: '9.90' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qwq-32B-preview.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qwq-32B-preview.yaml deleted file mode 100644 index e73c5d2030d458..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen-qwq-32B-preview.yaml +++ /dev/null @@ -1,53 +0,0 @@ -model: Qwen/QwQ-32B-Preview -label: - en_US: Qwen/QwQ-32B-Preview -model_type: llm -features: - - agent-thought - - tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 4096 - min: 1 - max: 8192 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.26' - output: '1.26' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-1.5b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-1.5b-instruct.yaml deleted file mode 100644 index bec5d37c57b31b..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-1.5b-instruct.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: Qwen/Qwen2-1.5B-Instruct -label: - en_US: Qwen/Qwen2-1.5B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml deleted file mode 100644 index 0f56d16d9b3d5a..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: Qwen/Qwen2-57B-A14B-Instruct -label: - en_US: Qwen/Qwen2-57B-A14B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '1.26' - output: '1.26' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml deleted file mode 100644 index af65cfb8ed758e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: Qwen/Qwen2-72B-Instruct -label: - en_US: Qwen/Qwen2-72B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml deleted file mode 100644 index f0f10ae6252685..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: Qwen/Qwen2-7B-Instruct -label: - en_US: Qwen/Qwen2-7B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml deleted file mode 100644 index f5180b41f1ea50..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml +++ /dev/null @@ -1,84 +0,0 @@ -model: Qwen/Qwen2-VL-72B-Instruct -label: - en_US: Qwen/Qwen2-VL-72B-Instruct -model_type: llm -features: - - vision -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml deleted file mode 100644 index 0ffbaee3837991..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml +++ /dev/null @@ -1,84 +0,0 @@ -model: Pro/Qwen/Qwen2-VL-7B-Instruct -label: - en_US: Pro/Qwen/Qwen2-VL-7B-Instruct -model_type: llm -features: - - vision -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.35' - output: '0.35' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-14b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-14b-instruct.yaml deleted file mode 100644 index 8a045b818aea53..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-14b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: Qwen/Qwen2.5-14B-Instruct -label: - en_US: Qwen/Qwen2.5-14B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 8192 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.7' - output: '0.7' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-32b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-32b-instruct.yaml deleted file mode 100644 index 9c308d2ab48a2e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-32b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: Qwen/Qwen2.5-32B-Instruct -label: - en_US: Qwen/Qwen2.5-32B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 8192 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.26' - output: '1.26' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml deleted file mode 100644 index 79f94da3765670..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: Qwen/Qwen2.5-72B-Instruct-128K -label: - en_US: Qwen/Qwen2.5-72B-Instruct-128K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml deleted file mode 100644 index fdbe38ff21043c..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: Vendor-A/Qwen/Qwen2.5-72B-Instruct -label: - en_US: Vendor-A/Qwen/Qwen2.5-72B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.00' - output: '1.00' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct.yaml deleted file mode 100644 index de9d9d97bfa627..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-72b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: Qwen/Qwen2.5-72B-Instruct -label: - en_US: Qwen/Qwen2.5-72B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-7b-instruct.yaml deleted file mode 100644 index bb85dbe948c9d7..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-7b-instruct.yaml +++ /dev/null @@ -1,51 +0,0 @@ -model: Qwen/Qwen2.5-7B-Instruct -label: - en_US: Qwen/Qwen2.5-7B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 8192 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml deleted file mode 100644 index de2224a67b1f57..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml +++ /dev/null @@ -1,84 +0,0 @@ -model: Qwen/Qwen2.5-Coder-32B-Instruct -label: - en_US: Qwen/Qwen2.5-Coder-32B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '1.26' - output: '1.26' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml deleted file mode 100644 index c31a338cdd898d..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml +++ /dev/null @@ -1,84 +0,0 @@ -model: Qwen/Qwen2.5-Coder-7B-Instruct -label: - en_US: Qwen/Qwen2.5-Coder-7B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml deleted file mode 100644 index 40c9ab48ca1e63..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml +++ /dev/null @@ -1,85 +0,0 @@ -model: Qwen/Qwen2.5-Math-72B-Instruct -label: - en_US: Qwen/Qwen2.5-Math-72B-Instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '4.13' - output: '4.13' - unit: '0.000001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml deleted file mode 100644 index 3e25f82369f070..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: 01-ai/Yi-1.5-34B-Chat -label: - en_US: 01-ai/Yi-1.5-34B-Chat-16K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '1.26' - output: '1.26' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml deleted file mode 100644 index 827b2ce1e5d765..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: 01-ai/Yi-1.5-6B-Chat -label: - en_US: 01-ai/Yi-1.5-6B-Chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml deleted file mode 100644 index 112fcbfe97be83..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: 01-ai/Yi-1.5-9B-Chat-16K -label: - en_US: 01-ai/Yi-1.5-9B-Chat-16K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty -pricing: - input: '0' - output: '0' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/__init__.py b/api/core/model_runtime/model_providers/siliconflow/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/bce-reranker-base_v1.yaml b/api/core/model_runtime/model_providers/siliconflow/rerank/bce-reranker-base_v1.yaml deleted file mode 100644 index ff3635bfeb1273..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/rerank/bce-reranker-base_v1.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: netease-youdao/bce-reranker-base_v1 -model_type: rerank -model_properties: - context_size: 512 diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/bge-reranker-v2-m3.yaml b/api/core/model_runtime/model_providers/siliconflow/rerank/bge-reranker-v2-m3.yaml deleted file mode 100644 index 807f531b084892..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/rerank/bge-reranker-v2-m3.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: BAAI/bge-reranker-v2-m3 -model_type: rerank -model_properties: - context_size: 8192 diff --git a/api/core/model_runtime/model_providers/siliconflow/rerank/rerank.py b/api/core/model_runtime/model_providers/siliconflow/rerank/rerank.py deleted file mode 100644 index 58b033d28aa90e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/rerank/rerank.py +++ /dev/null @@ -1,85 +0,0 @@ -from typing import Optional - -import httpx - -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class SiliconflowRerankModel(RerankModel): - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - base_url = credentials.get("base_url", "https://api.siliconflow.cn/v1") - base_url = base_url.removesuffix("/") - try: - response = httpx.post( - base_url + "/rerank", - json={"model": model, "query": query, "documents": docs, "top_n": top_n, "return_documents": True}, - headers={"Authorization": f"Bearer {credentials.get('api_key')}"}, - ) - response.raise_for_status() - results = response.json() - - rerank_documents = [] - for result in results["results"]: - rerank_document = RerankDocument( - index=result["index"], - text=result["document"]["text"], - score=result["relevance_score"], - ) - if score_threshold is None or result["relevance_score"] >= score_threshold: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - except httpx.HTTPStatusError as e: - raise InvokeServerUnavailableError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return { - InvokeConnectionError: [httpx.ConnectError], - InvokeServerUnavailableError: [httpx.RemoteProtocolError], - InvokeRateLimitError: [], - InvokeAuthorizationError: [httpx.HTTPStatusError], - InvokeBadRequestError: [httpx.RequestError], - } diff --git a/api/core/model_runtime/model_providers/siliconflow/siliconflow.py b/api/core/model_runtime/model_providers/siliconflow/siliconflow.py deleted file mode 100644 index 03c4306144a651..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/siliconflow.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class SiliconflowProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="deepseek-ai/DeepSeek-V2.5", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml b/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml deleted file mode 100644 index 73a9e80769b540..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml +++ /dev/null @@ -1,88 +0,0 @@ -provider: siliconflow -label: - zh_Hans: 硅基流动 - en_US: SiliconFlow -icon_small: - en_US: siliconflow_square.svg -icon_large: - en_US: siliconflow.svg -background: "#ffecff" -help: - title: - en_US: Get your API Key from SiliconFlow - zh_Hans: 从 SiliconFlow 获取 API Key - url: - en_US: https://cloud.siliconflow.cn/account/ak -supported_model_types: - - llm - - text-embedding - - rerank - - speech2text - - tts -configurate_methods: - - predefined-model - - customizable-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '4096' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - default: '4096' - type: text-input - show_on: - - variable: __model_type - value: llm - - variable: function_calling_type - label: - en_US: Function calling - type: select - required: false - default: no_call - options: - - value: no_call - label: - en_US: Not Support - zh_Hans: 不支持 - - value: function_call - label: - en_US: Support - zh_Hans: 支持 - show_on: - - variable: __model_type - value: llm diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/__init__.py b/api/core/model_runtime/model_providers/siliconflow/speech2text/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/funaudio-sense-voice-small.yaml b/api/core/model_runtime/model_providers/siliconflow/speech2text/funaudio-sense-voice-small.yaml deleted file mode 100644 index d4bc33c68ea300..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/speech2text/funaudio-sense-voice-small.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: FunAudioLLM/SenseVoiceSmall -model_type: speech2text -model_properties: - file_upload_limit: 1 - supported_file_extensions: mp3,wav diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/sense-voice-small.yaml b/api/core/model_runtime/model_providers/siliconflow/speech2text/sense-voice-small.yaml deleted file mode 100644 index 455b2ad4671c2f..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/speech2text/sense-voice-small.yaml +++ /dev/null @@ -1,6 +0,0 @@ -model: iic/SenseVoiceSmall -model_type: speech2text -model_properties: - file_upload_limit: 1 - supported_file_extensions: mp3,wav -deprecated: true diff --git a/api/core/model_runtime/model_providers/siliconflow/speech2text/speech2text.py b/api/core/model_runtime/model_providers/siliconflow/speech2text/speech2text.py deleted file mode 100644 index 8d1932863e09d9..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/speech2text/speech2text.py +++ /dev/null @@ -1,30 +0,0 @@ -from typing import IO, Optional - -from core.model_runtime.model_providers.openai_api_compatible.speech2text.speech2text import OAICompatSpeech2TextModel - - -class SiliconflowSpeech2TextModel(OAICompatSpeech2TextModel): - """ - Model class for Siliconflow Speech to text model. - """ - - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - self._add_custom_parameters(credentials) - return super()._invoke(model, credentials, file) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - return super().validate_credentials(model, credentials) - - @classmethod - def _add_custom_parameters(cls, credentials: dict) -> None: - credentials["endpoint_url"] = "https://api.siliconflow.cn/v1" diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bce-embedding-base-v1.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bce-embedding-base-v1.yaml deleted file mode 100644 index 710fbc04f6ad12..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bce-embedding-base-v1.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: netease-youdao/bce-embedding-base_v1 -model_type: text-embedding -model_properties: - context_size: 512 - max_chunks: 1 diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-en-v1.5.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-en-v1.5.yaml deleted file mode 100644 index 84f69b41a08c13..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-en-v1.5.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: BAAI/bge-large-en-v1.5 -model_type: text-embedding -model_properties: - context_size: 512 - max_chunks: 1 diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-zh-v1.5.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-zh-v1.5.yaml deleted file mode 100644 index 5248375d0b507e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-large-zh-v1.5.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: BAAI/bge-large-zh-v1.5 -model_type: text-embedding -model_properties: - context_size: 512 - max_chunks: 1 diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-m3.yaml b/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-m3.yaml deleted file mode 100644 index f0b12dd420ab2b..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/bge-m3.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: BAAI/bge-m3 -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 1 diff --git a/api/core/model_runtime/model_providers/siliconflow/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/siliconflow/text_embedding/text_embedding.py deleted file mode 100644 index 5e29a4827a39f8..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/text_embedding/text_embedding.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Optional - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import ( - OAICompatEmbeddingModel, -) - - -class SiliconflowTextEmbeddingModel(OAICompatEmbeddingModel): - """ - Model class for Siliconflow text embedding model. - """ - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - self._add_custom_parameters(credentials) - return super()._invoke(model, credentials, texts, user) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - self._add_custom_parameters(credentials) - return super().get_num_tokens(model, credentials, texts) - - @classmethod - def _add_custom_parameters(cls, credentials: dict) -> None: - credentials["endpoint_url"] = "https://api.siliconflow.cn/v1" diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/__init__.py b/api/core/model_runtime/model_providers/siliconflow/tts/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.4.yaml b/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.4.yaml deleted file mode 100644 index 4adfd05c601850..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.4.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: fishaudio/fish-speech-1.4 -model_type: tts -model_properties: - default_voice: 'fishaudio/fish-speech-1.4:alex' - voices: - - mode: "fishaudio/fish-speech-1.4:alex" - name: "Alex（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.4:benjamin" - name: "Benjamin（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.4:charles" - name: "Charles（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.4:david" - name: "David（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.4:anna" - name: "Anna（女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.4:bella" - name: "Bella（女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.4:claire" - name: "Claire（女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.4:diana" - name: "Diana（女声）" - language: [ "zh-Hans", "en-US" ] - audio_type: 'mp3' - max_workers: 5 - # stream: false -pricing: - input: '0.015' - output: '0' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.5.yaml b/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.5.yaml deleted file mode 100644 index e2cc86d0609d4e..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/tts/fish-speech-1.5.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: fishaudio/fish-speech-1.5 -model_type: tts -model_properties: - default_voice: 'fishaudio/fish-speech-1.5:alex' - voices: - - mode: "fishaudio/fish-speech-1.5:alex" - name: "Alex（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.5:benjamin" - name: "Benjamin（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.5:charles" - name: "Charles（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.5:david" - name: "David（男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.5:anna" - name: "Anna（女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.5:bella" - name: "Bella（女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.5:claire" - name: "Claire（女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "fishaudio/fish-speech-1.5:diana" - name: "Diana（女声）" - language: [ "zh-Hans", "en-US" ] - audio_type: 'mp3' - max_workers: 5 - # stream: false -pricing: - input: '0.015' - output: '0' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/tts/tts.py b/api/core/model_runtime/model_providers/siliconflow/tts/tts.py deleted file mode 100644 index a5554abb73eff3..00000000000000 --- a/api/core/model_runtime/model_providers/siliconflow/tts/tts.py +++ /dev/null @@ -1,105 +0,0 @@ -import concurrent.futures -from typing import Any, Optional - -from openai import OpenAI - -from core.model_runtime.errors.invoke import InvokeBadRequestError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.tts_model import TTSModel -from core.model_runtime.model_providers.openai._common import _CommonOpenAI - - -class SiliconFlowText2SpeechModel(_CommonOpenAI, TTSModel): - """ - Model class for SiliconFlow Speech to text model. - """ - - def _invoke( - self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None - ) -> Any: - """ - _invoke text2speech model - - :param model: model name - :param tenant_id: user tenant id - :param credentials: model credentials - :param content_text: text content to be translated - :param voice: model timbre - :param user: unique user id - :return: text translated to audio file - """ - if not voice or voice not in [ - d["value"] for d in self.get_tts_model_voices(model=model, credentials=credentials) - ]: - voice = self._get_model_default_voice(model, credentials) - # if streaming: - return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice) - - def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None: - """ - validate credentials text2speech model - - :param model: model name - :param credentials: model credentials - :param user: unique user id - :return: text translated to audio file - """ - try: - self._tts_invoke_streaming( - model=model, - credentials=credentials, - content_text="Hello SiliconFlow!", - voice=self._get_model_default_voice(model, credentials), - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any: - """ - _tts_invoke_streaming text2speech model - - :param model: model name - :param credentials: model credentials - :param content_text: text content to be translated - :param voice: model timbre - :return: text translated to audio file - """ - try: - # doc: https://docs.siliconflow.cn/capabilities/text-to-speech - self._add_custom_parameters(credentials) - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - model_support_voice = [ - x.get("value") for x in self.get_tts_model_voices(model=model, credentials=credentials) - ] - if not voice or voice not in model_support_voice: - voice = self._get_model_default_voice(model, credentials) - if len(content_text) > 4096: - sentences = self._split_text_into_sentences(content_text, max_length=4096) - executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences))) - futures = [ - executor.submit( - client.audio.speech.with_streaming_response.create, - model=model, - response_format="mp3", - input=sentences[i], - voice=voice, - ) - for i in range(len(sentences)) - ] - for future in futures: - yield from future.result().__enter__().iter_bytes(1024) # noqa:PLC2801 - - else: - response = client.audio.speech.with_streaming_response.create( - model=model, voice=voice, response_format="mp3", input=content_text.strip() - ) - - yield from response.__enter__().iter_bytes(1024) # noqa:PLC2801 - except Exception as ex: - raise InvokeBadRequestError(str(ex)) - - @classmethod - def _add_custom_parameters(cls, credentials: dict) -> None: - credentials["openai_api_base"] = "https://api.siliconflow.cn" - credentials["openai_api_key"] = credentials["api_key"] diff --git a/api/core/model_runtime/model_providers/spark/__init__.py b/api/core/model_runtime/model_providers/spark/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/spark/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/spark/_assets/icon_l_en.svg deleted file mode 100644 index 521c68cae52a78..00000000000000 --- a/api/core/model_runtime/model_providers/spark/_assets/icon_l_en.svg +++ /dev/null @@ -1,24 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/spark/_assets/icon_l_zh.svg b/api/core/model_runtime/model_providers/spark/_assets/icon_l_zh.svg deleted file mode 100644 index 71d85216aaa691..00000000000000 --- a/api/core/model_runtime/model_providers/spark/_assets/icon_l_zh.svg +++ /dev/null @@ -1,11 +0,0 @@ - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/spark/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/spark/_assets/icon_s_en.svg deleted file mode 100644 index ef0a9131a48e43..00000000000000 --- a/api/core/model_runtime/model_providers/spark/_assets/icon_s_en.svg +++ /dev/null @@ -1,5 +0,0 @@ - - - - - diff --git a/api/core/model_runtime/model_providers/spark/llm/__init__.py b/api/core/model_runtime/model_providers/spark/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/spark/llm/_client.py b/api/core/model_runtime/model_providers/spark/llm/_client.py deleted file mode 100644 index d8421cd7a0100a..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/_client.py +++ /dev/null @@ -1,163 +0,0 @@ -import base64 -import hashlib -import hmac -import json -import queue -import ssl -from datetime import datetime -from time import mktime -from typing import Optional -from urllib.parse import urlencode, urlparse -from wsgiref.handlers import format_date_time - -import websocket - - -class SparkLLMClient: - def __init__(self, model: str, app_id: str, api_key: str, api_secret: str, api_domain: Optional[str] = None): - domain = "spark-api.xf-yun.com" - endpoint = "chat" - if api_domain: - domain = api_domain - - model_api_configs = { - "spark-lite": {"version": "v1.1", "chat_domain": "lite"}, - "spark-pro": {"version": "v3.1", "chat_domain": "generalv3"}, - "spark-pro-128k": {"version": "pro-128k", "chat_domain": "pro-128k"}, - "spark-max": {"version": "v3.5", "chat_domain": "generalv3.5"}, - "spark-max-32k": {"version": "max-32k", "chat_domain": "max-32k"}, - "spark-4.0-ultra": {"version": "v4.0", "chat_domain": "4.0Ultra"}, - } - - api_version = model_api_configs[model]["version"] - - self.chat_domain = model_api_configs[model]["chat_domain"] - - if model in ["spark-pro-128k", "spark-max-32k"]: - self.api_base = f"wss://{domain}/{endpoint}/{api_version}" - else: - self.api_base = f"wss://{domain}/{api_version}/{endpoint}" - - self.app_id = app_id - self.ws_url = self.create_url( - urlparse(self.api_base).netloc, urlparse(self.api_base).path, self.api_base, api_key, api_secret - ) - - self.queue = queue.Queue() - self.blocking_message = "" - - def create_url(self, host: str, path: str, api_base: str, api_key: str, api_secret: str) -> str: - # generate timestamp by RFC1123 - now = datetime.now() - date = format_date_time(mktime(now.timetuple())) - - signature_origin = "host: " + host + "\n" - signature_origin += "date: " + date + "\n" - signature_origin += "GET " + path + " HTTP/1.1" - - # encrypt using hmac-sha256 - signature_sha = hmac.new( - api_secret.encode("utf-8"), signature_origin.encode("utf-8"), digestmod=hashlib.sha256 - ).digest() - - signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding="utf-8") - - authorization_origin = ( - f'api_key="{api_key}", algorithm="hmac-sha256", headers="host date request-line",' - f' signature="{signature_sha_base64}"' - ) - - authorization = base64.b64encode(authorization_origin.encode("utf-8")).decode(encoding="utf-8") - - v = {"authorization": authorization, "date": date, "host": host} - # generate url - url = api_base + "?" + urlencode(v) - return url - - def run(self, messages: list, user_id: str, model_kwargs: Optional[dict] = None, streaming: bool = False): - websocket.enableTrace(False) - ws = websocket.WebSocketApp( - self.ws_url, - on_message=self.on_message, - on_error=self.on_error, - on_close=self.on_close, - on_open=self.on_open, - ) - ws.messages = messages - ws.user_id = user_id - ws.model_kwargs = model_kwargs - ws.streaming = streaming - ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) - - def on_error(self, ws, error): - self.queue.put({"status_code": error.status_code, "error": error.resp_body.decode("utf-8")}) - ws.close() - - def on_close(self, ws, close_status_code, close_reason): - self.queue.put({"done": True}) - - def on_open(self, ws): - self.blocking_message = "" - data = json.dumps(self.gen_params(messages=ws.messages, user_id=ws.user_id, model_kwargs=ws.model_kwargs)) - ws.send(data) - - def on_message(self, ws, message): - data = json.loads(message) - code = data["header"]["code"] - if code != 0: - self.queue.put({"status_code": 400, "error": f"Code: {code}, Error: {data['header']['message']}"}) - ws.close() - else: - choices = data["payload"]["choices"] - status = choices["status"] - content = choices["text"][0]["content"] - if ws.streaming: - self.queue.put({"data": content}) - else: - self.blocking_message += content - - if status == 2: - if not ws.streaming: - self.queue.put({"data": self.blocking_message}) - ws.close() - - def gen_params(self, messages: list, user_id: str, model_kwargs: Optional[dict] = None) -> dict: - data = { - "header": { - "app_id": self.app_id, - # resolve this error message => $.header.uid' length must be less or equal than 32 - "uid": user_id[:32] if user_id else None, - }, - "parameter": {"chat": {"domain": self.chat_domain}}, - "payload": {"message": {"text": messages}}, - } - - if model_kwargs: - data["parameter"]["chat"].update(model_kwargs) - - return data - - def subscribe(self): - while True: - content = self.queue.get() - if "error" in content: - if content["status_code"] == 401: - raise SparkError( - "[Spark] The credentials you provided are incorrect. " - "Please double-check and fill them in again." - ) - elif content["status_code"] == 403: - raise SparkError( - "[Spark] Sorry, the credentials you provided are access denied. " - "Please try again after obtaining the necessary permissions." - ) - else: - raise SparkError(f"[Spark] code: {content['status_code']}, error: {content['error']}") - - if "data" not in content: - break - yield content - - -class SparkError(Exception): - pass diff --git a/api/core/model_runtime/model_providers/spark/llm/_position.yaml b/api/core/model_runtime/model_providers/spark/llm/_position.yaml deleted file mode 100644 index 73f39cb1197b48..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/_position.yaml +++ /dev/null @@ -1,11 +0,0 @@ -- spark-max-32k -- spark-4.0-ultra -- spark-max -- spark-pro-128k -- spark-pro -- spark-lite -- spark-4 -- spark-3.5 -- spark-3 -- spark-1.5 -- spark-2 diff --git a/api/core/model_runtime/model_providers/spark/llm/llm.py b/api/core/model_runtime/model_providers/spark/llm/llm.py deleted file mode 100644 index cb6f28b6c27fa9..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/llm.py +++ /dev/null @@ -1,309 +0,0 @@ -import threading -from collections.abc import Generator -from typing import Optional, Union, cast - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel - -from ._client import SparkLLMClient - - -class SparkLargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # invoke model - return self._generate(model, credentials, prompt_messages, model_parameters, stop, stream, user) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: - """ - prompt = self._convert_messages_to_prompt(prompt_messages) - - return self._get_num_tokens_by_gpt2(prompt) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._generate( - model=model, - credentials=credentials, - prompt_messages=[ - UserPromptMessage(content="ping"), - ], - model_parameters={ - "temperature": 0.5, - }, - stream=False, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - extra_model_kwargs = {} - if stop: - extra_model_kwargs["stop_sequences"] = stop - - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - - client = SparkLLMClient( - model=model, - **credentials_kwargs, - ) - - thread = threading.Thread( - target=client.run, - args=( - [ - {"role": prompt_message.role.value, "content": prompt_message.content} - for prompt_message in prompt_messages - ], - user, - model_parameters, - stream, - ), - ) - thread.start() - - if stream: - return self._handle_generate_stream_response(thread, model, credentials, client, prompt_messages) - - return self._handle_generate_response(thread, model, credentials, client, prompt_messages) - - def _handle_generate_response( - self, - thread: threading.Thread, - model: str, - credentials: dict, - client: SparkLLMClient, - prompt_messages: list[PromptMessage], - ) -> LLMResult: - """ - Handle llm response - - :param model: model name - :param response: response - :param prompt_messages: prompt messages - :return: llm response - """ - completion = "" - - for content in client.subscribe(): - if isinstance(content, dict): - delta = content["data"] - else: - delta = content - - completion += delta - - thread.join() - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=completion) - - # calculate num tokens - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - result = LLMResult( - model=model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - ) - - return result - - def _handle_generate_stream_response( - self, - thread: threading.Thread, - model: str, - credentials: dict, - client: SparkLLMClient, - prompt_messages: list[PromptMessage], - ) -> Generator: - """ - Handle llm stream response - - :param thread: thread - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm response chunk generator result - """ - completion = "" - for index, content in enumerate(client.subscribe()): - if isinstance(content, dict): - delta = content["data"] - else: - delta = content - completion += delta - assistant_prompt_message = AssistantPromptMessage( - content=delta or "", - ) - temp_assistant_prompt_message = AssistantPromptMessage( - content=completion, - ) - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [temp_assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message, usage=usage), - ) - - thread.join() - - def _to_credential_kwargs(self, credentials: dict) -> dict: - """ - Transform credentials to kwargs for model instance - - :param credentials: - :return: - """ - credentials_kwargs = { - "app_id": credentials["app_id"], - "api_secret": credentials["api_secret"], - "api_key": credentials["api_key"], - } - - return credentials_kwargs - - def _convert_one_message_to_text(self, message: PromptMessage) -> str: - """ - Convert a single message to a string. - - :param message: PromptMessage to convert. - :return: String representation of the message. - """ - human_prompt = "\n\nHuman:" - ai_prompt = "\n\nAssistant:" - content = message.content - - if isinstance(message, UserPromptMessage): - message_text = f"{human_prompt} {content}" - elif isinstance(message, AssistantPromptMessage): - message_text = f"{ai_prompt} {content}" - elif isinstance(message, SystemPromptMessage): - message_text = cast(str, content) - else: - raise ValueError(f"Got unknown type {message}") - - return message_text - - def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str: - """ - Format a list of messages into a full prompt for the Anthropic model - - :param messages: List of PromptMessage to combine. - :return: Combined string with necessary human_prompt and ai_prompt tags. - """ - messages = messages.copy() # don't mutate the original list - - text = "".join(self._convert_one_message_to_text(message) for message in messages) - - # trim off the trailing ' ' that might come from the "Assistant: " - return text.rstrip() - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [], - InvokeRateLimitError: [], - InvokeAuthorizationError: [], - InvokeBadRequestError: [], - } diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml deleted file mode 100644 index fcd65c24e0f60c..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml +++ /dev/null @@ -1,34 +0,0 @@ -model: spark-1.5 -deprecated: true -label: - en_US: Spark V1.5 -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: 模型回答的tokens的最大长度。 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-2.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-2.yaml deleted file mode 100644 index 2db6805a2e2af0..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-2.yaml +++ /dev/null @@ -1,34 +0,0 @@ -model: spark-2 -deprecated: true -label: - en_US: Spark V2.0 -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 2048 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: 模型回答的tokens的最大长度。 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-3.5.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-3.5.yaml deleted file mode 100644 index 86617a53d0d4fb..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-3.5.yaml +++ /dev/null @@ -1,34 +0,0 @@ -model: spark-3.5 -deprecated: true -label: - en_US: Spark V3.5 -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 2048 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: 模型回答的tokens的最大长度。 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-3.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-3.yaml deleted file mode 100644 index 9f296c684db78d..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-3.yaml +++ /dev/null @@ -1,34 +0,0 @@ -model: spark-3 -deprecated: true -label: - en_US: Spark V3.0 -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 2048 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: 模型回答的tokens的最大长度。 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-4.0-ultra.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-4.0-ultra.yaml deleted file mode 100644 index bbf85764f1c8c1..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-4.0-ultra.yaml +++ /dev/null @@ -1,42 +0,0 @@ -model: spark-4.0-ultra -label: - en_US: Spark 4.0 Ultra -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: Maximum length of tokens for the model response. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false - - name: show_ref_label - label: - zh_Hans: 联网检索 - en_US: web search - type: boolean - default: false - help: - zh_Hans: 该参数仅4.0 Ultra版本支持，当设置为true时，如果输入内容触发联网检索插件，会先返回检索信源列表，然后再返回星火回复结果，否则仅返回星火回复结果 - en_US: The parameter is only supported in the 4.0 Ultra version. When set to true, if the input triggers the online search plugin, it will first return a list of search sources and then return the Spark response. Otherwise, it will only return the Spark response. diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-4.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-4.yaml deleted file mode 100644 index 4b5529e81c0602..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-4.yaml +++ /dev/null @@ -1,34 +0,0 @@ -model: spark-4 -deprecated: true -label: - en_US: Spark V4.0 -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: 模型回答的tokens的最大长度。 - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-lite.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-lite.yaml deleted file mode 100644 index 1f6141a816b8e1..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-lite.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: spark-lite -label: - en_US: Spark Lite -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: Maximum length of tokens for the model response. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-max-32k.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-max-32k.yaml deleted file mode 100644 index 1a1ab6844c69c5..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-max-32k.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: spark-max-32k -label: - en_US: Spark Max-32K -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: Maximum length of tokens for the model response. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-max.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-max.yaml deleted file mode 100644 index 71eb2b86d36ac4..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-max.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: spark-max -label: - en_US: Spark Max -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: Maximum length of tokens for the model response. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-pro-128k.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-pro-128k.yaml deleted file mode 100644 index da1fead6da940d..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-pro-128k.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: spark-pro-128k -label: - en_US: Spark Pro-128K -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: Maximum length of tokens for the model response. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/llm/spark-pro.yaml b/api/core/model_runtime/model_providers/spark/llm/spark-pro.yaml deleted file mode 100644 index 9ee479f15b0504..00000000000000 --- a/api/core/model_runtime/model_providers/spark/llm/spark-pro.yaml +++ /dev/null @@ -1,33 +0,0 @@ -model: spark-pro -label: - en_US: Spark Pro -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.5 - help: - zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 - en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 1 - max: 8192 - help: - zh_Hans: 模型回答的tokens的最大长度。 - en_US: Maximum length of tokens for the model response. - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - default: 4 - min: 1 - max: 6 - help: - zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 - en_US: Randomly select one from k candidates (non-equal probability). - required: false diff --git a/api/core/model_runtime/model_providers/spark/spark.py b/api/core/model_runtime/model_providers/spark/spark.py deleted file mode 100644 index b3695e0501cd8a..00000000000000 --- a/api/core/model_runtime/model_providers/spark/spark.py +++ /dev/null @@ -1,18 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class SparkProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - # ignore credentials validation because every model has their own spark quota pool - pass diff --git a/api/core/model_runtime/model_providers/spark/spark.yaml b/api/core/model_runtime/model_providers/spark/spark.yaml deleted file mode 100644 index 3b07b30f2472be..00000000000000 --- a/api/core/model_runtime/model_providers/spark/spark.yaml +++ /dev/null @@ -1,46 +0,0 @@ -provider: spark -label: - zh_Hans: 讯飞星火 - en_US: iFLYTEK SPARK -icon_small: - en_US: icon_s_en.svg -icon_large: - zh_Hans: icon_l_zh.svg - en_US: icon_l_en.svg -background: "#EBF8FF" -help: - title: - en_US: Get your API key from iFLYTEK SPARK - zh_Hans: 从讯飞星火获取 API Keys - url: - en_US: https://www.xfyun.cn/solutions/xinghuoAPI -supported_model_types: - - llm -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: app_id - label: - en_US: APPID - type: text-input - required: true - placeholder: - zh_Hans: 在此输入您的 APPID - en_US: Enter your APPID - - variable: api_secret - label: - en_US: APISecret - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 APISecret - en_US: Enter your APISecret - - variable: api_key - label: - en_US: APIKey - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 APIKey - en_US: Enter your APIKey diff --git a/api/core/model_runtime/model_providers/stepfun/__init__.py b/api/core/model_runtime/model_providers/stepfun/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/stepfun/_assets/icon_l_en.png b/api/core/model_runtime/model_providers/stepfun/_assets/icon_l_en.png deleted file mode 100644 index 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zDRX9|ny0qNv0P(90fD6!B&F#K=Ig}%(P9oiny(i`XKQsIq5_^kz~za!{3y0SAc=^S z2>Iy1U{VPQL$*Yth#yEt?WD|HlC(&;-2D7}PJRRjCvv!au~^LI3Ah3Qn?kUy4l}8> zv(479K?Mb7)e}YwX~fN_S5d3OZKRY*nSFi=lVwQOY#q2M>dv@!t%b|y@VuuQ1gh2l z4KaUo`iCvX$me`<+w7%$P0 zaS`!6xrove4)5hT*YHv=BIQfHa49ofZ*Bik>%kD!K;Gq0^HQ6k_Q%Xr&l6O0?|oDr zgdjc(QWDdY$ZUAp3-9ECa1r1;K)n{)J@DNrKye712e&%GF9SZX!sT{2aSfzP;l@4C zZw8+^u>UyJAA|4(;GYFC%VFATV3DwTKa|$PdjyD}-QD4CPdyVmrr7hS zo|WL&xasrLGj8v(`_Ng}*(-_N*OvNETt!=5%)FC@w_hg@A4+sz5IWAZJ!u**XvGEP zmks*fo`hEzXlya!LsNtrgqqGKyQ^^LC8fu?flkl^7{}Nw*L08b2>rnf)Q~$lrG0Lk zEHnA?#80!QhRbTl0-hLBb!J3}FRiMl^UK(f^=NV;8ZkY#!q#DXyj1V(Y<+#xt|FE! z%OUi9Pj~&;w{}|R35QKw`AsDwcyHL2mb%7b#K>~h&P4ZSF5TKguNvu!ac;}|ssdZH zP?kBS``)sQ6RzzNxf?3}s0gk8S$?27xaEfD`e+ZM!6q4SJ|f`Xi&1{FNCpw+-oe(l z%3KdCkGTuFf0Mbo3vjO6FOcR#dyy~@sgaeQ!@Ae3%u^oe3kjZ375BAftjD?Bm)4TO z$U0oz(D3$aGWuug=HsWM$1S@_0)yYh2qzU0;Q=F7NuA=l*z=c0&T?$P8|QZUKaM-E zJlgRlx@7!wZ%qFOCoek_I>vf9$z6DUea Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - self._add_function_call(model, credentials) - user = user[:32] if user else None - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - return AIModelEntity( - model=model, - label=I18nObject(en_US=model, zh_Hans=model), - model_type=ModelType.LLM, - features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL] - if credentials.get("function_calling_type") == "tool_call" - else [], - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)), - ModelPropertyKey.MODE: LLMMode.CHAT.value, - }, - parameter_rules=[ - ParameterRule( - name="temperature", - use_template="temperature", - label=I18nObject(en_US="Temperature", zh_Hans="温度"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="max_tokens", - use_template="max_tokens", - default=512, - min=1, - max=int(credentials.get("max_tokens", 1024)), - label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"), - type=ParameterType.INT, - ), - ParameterRule( - name="top_p", - use_template="top_p", - label=I18nObject(en_US="Top P", zh_Hans="Top P"), - type=ParameterType.FLOAT, - ), - ], - ) - - def _add_custom_parameters(self, credentials: dict) -> None: - credentials["mode"] = "chat" - credentials["endpoint_url"] = "https://api.stepfun.com/v1" - - def _add_function_call(self, model: str, credentials: dict) -> None: - model_schema = self.get_model_schema(model, credentials) - if model_schema and {ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL}.intersection( - model_schema.features or [] - ): - credentials["function_calling_type"] = "tool_call" - - def _convert_prompt_message_to_dict(self, message: PromptMessage, credentials: Optional[dict] = None) -> dict: - """ - Convert PromptMessage to dict for OpenAI API format - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(PromptMessageContent, message_content) - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - sub_message_dict = { - "type": "image_url", - "image_url": { - "url": message_content.data, - }, - } - sub_messages.append(sub_message_dict) - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls: - message_dict["tool_calls"] = [] - for function_call in message.tool_calls: - message_dict["tool_calls"].append( - { - "id": function_call.id, - "type": function_call.type, - "function": { - "name": function_call.function.name, - "arguments": function_call.function.arguments, - }, - } - ) - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - message_dict = {"role": "tool", "content": message.content, "tool_call_id": message.tool_call_id} - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - else: - raise ValueError(f"Got unknown type {message}") - - if message.name: - message_dict["name"] = message.name - - return message_dict - - def _extract_response_tool_calls(self, response_tool_calls: list[dict]) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_tool_calls: - for response_tool_call in response_tool_calls: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call["function"]["name"] - if response_tool_call.get("function", {}).get("name") - else "", - arguments=response_tool_call["function"]["arguments"] - if response_tool_call.get("function", {}).get("arguments") - else "", - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call["id"] if response_tool_call.get("id") else "", - type=response_tool_call["type"] if response_tool_call.get("type") else "", - function=function, - ) - tool_calls.append(tool_call) - - return tool_calls - - def _handle_generate_stream_response( - self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage] - ) -> Generator: - """ - Handle llm stream response - - :param model: model name - :param credentials: model credentials - :param response: streamed response - :param prompt_messages: prompt messages - :return: llm response chunk generator - """ - full_assistant_content = "" - chunk_index = 0 - - def create_final_llm_result_chunk( - index: int, message: AssistantPromptMessage, finish_reason: str - ) -> LLMResultChunk: - # calculate num tokens - prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content) - completion_tokens = self._num_tokens_from_string(model, full_assistant_content) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - return LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage), - ) - - tools_calls: list[AssistantPromptMessage.ToolCall] = [] - finish_reason = "Unknown" - - def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]): - def get_tool_call(tool_name: str): - if not tool_name: - return tools_calls[-1] - - tool_call = next((tool_call for tool_call in tools_calls if tool_call.function.name == tool_name), None) - if tool_call is None: - tool_call = AssistantPromptMessage.ToolCall( - id="", - type="", - function=AssistantPromptMessage.ToolCall.ToolCallFunction(name=tool_name, arguments=""), - ) - tools_calls.append(tool_call) - - return tool_call - - for new_tool_call in new_tool_calls: - # get tool call - tool_call = get_tool_call(new_tool_call.function.name) - # update tool call - if new_tool_call.id: - tool_call.id = new_tool_call.id - if new_tool_call.type: - tool_call.type = new_tool_call.type - if new_tool_call.function.name: - tool_call.function.name = new_tool_call.function.name - if new_tool_call.function.arguments: - tool_call.function.arguments += new_tool_call.function.arguments - - for chunk in response.iter_lines(decode_unicode=True, delimiter="\n\n"): - if chunk: - # ignore sse comments - if chunk.startswith(":"): - continue - decoded_chunk = chunk.strip().removeprefix("data:").lstrip() - chunk_json = None - try: - chunk_json = json.loads(decoded_chunk) - # stream ended - except json.JSONDecodeError as e: - yield create_final_llm_result_chunk( - index=chunk_index + 1, - message=AssistantPromptMessage(content=""), - finish_reason="Non-JSON encountered.", - ) - break - if not chunk_json or len(chunk_json["choices"]) == 0: - continue - - choice = chunk_json["choices"][0] - finish_reason = chunk_json["choices"][0].get("finish_reason") - chunk_index += 1 - - if "delta" in choice: - delta = choice["delta"] - delta_content = delta.get("content") - - assistant_message_tool_calls = delta.get("tool_calls", None) - # assistant_message_function_call = delta.delta.function_call - - # extract tool calls from response - if assistant_message_tool_calls: - tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls) - increase_tool_call(tool_calls) - - if delta_content is None or delta_content == "": - continue - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=delta_content, tool_calls=tool_calls if assistant_message_tool_calls else [] - ) - - full_assistant_content += delta_content - elif "text" in choice: - choice_text = choice.get("text", "") - if choice_text == "": - continue - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=choice_text) - full_assistant_content += choice_text - else: - continue - - # check payload indicator for completion - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=assistant_prompt_message, - ), - ) - - chunk_index += 1 - - if tools_calls: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=chunk_index, - message=AssistantPromptMessage(tool_calls=tools_calls, content=""), - ), - ) - - yield create_final_llm_result_chunk( - index=chunk_index, message=AssistantPromptMessage(content=""), finish_reason=finish_reason - ) diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-128k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-128k.yaml deleted file mode 100644 index 13f7b7fd264aa8..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-128k.yaml +++ /dev/null @@ -1,25 +0,0 @@ -model: step-1-128k -label: - zh_Hans: step-1-128k - en_US: step-1-128k -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 128000 -pricing: - input: '0.04' - output: '0.20' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-256k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-256k.yaml deleted file mode 100644 index f80ec9851c451d..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-256k.yaml +++ /dev/null @@ -1,25 +0,0 @@ -model: step-1-256k -label: - zh_Hans: step-1-256k - en_US: step-1-256k -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 256000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 256000 -pricing: - input: '0.095' - output: '0.300' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-32k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-32k.yaml deleted file mode 100644 index 96132d14a8251f..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-32k.yaml +++ /dev/null @@ -1,28 +0,0 @@ -model: step-1-32k -label: - zh_Hans: step-1-32k - en_US: step-1-32k -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 -pricing: - input: '0.015' - output: '0.070' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-8k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-8k.yaml deleted file mode 100644 index 4a4ba8d17825d3..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-8k.yaml +++ /dev/null @@ -1,28 +0,0 @@ -model: step-1-8k -label: - zh_Hans: step-1-8k - en_US: step-1-8k -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 8000 -pricing: - input: '0.005' - output: '0.020' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1-flash.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1-flash.yaml deleted file mode 100644 index afb880f2a40bbc..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-1-flash.yaml +++ /dev/null @@ -1,25 +0,0 @@ -model: step-1-flash -label: - zh_Hans: step-1-flash - en_US: step-1-flash -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 8000 -pricing: - input: '0.001' - output: '0.004' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-32k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1v-32k.yaml deleted file mode 100644 index 08d6ad245d2dd6..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-32k.yaml +++ /dev/null @@ -1,28 +0,0 @@ -model: step-1v-32k -label: - zh_Hans: step-1v-32k - en_US: step-1v-32k -model_type: llm -features: - - vision - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 32000 -pricing: - input: '0.015' - output: '0.070' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-8k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-1v-8k.yaml deleted file mode 100644 index 843d14d9c67e80..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-1v-8k.yaml +++ /dev/null @@ -1,28 +0,0 @@ -model: step-1v-8k -label: - zh_Hans: step-1v-8k - en_US: step-1v-8k -model_type: llm -features: - - vision - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 8192 -pricing: - input: '0.005' - output: '0.020' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/llm/step-2-16k.yaml b/api/core/model_runtime/model_providers/stepfun/llm/step-2-16k.yaml deleted file mode 100644 index 6f2dabbfb0e308..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/llm/step-2-16k.yaml +++ /dev/null @@ -1,28 +0,0 @@ -model: step-2-16k -label: - zh_Hans: step-2-16k - en_US: step-2-16k -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 16000 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 16000 -pricing: - input: '0.038' - output: '0.120' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/stepfun/stepfun.py b/api/core/model_runtime/model_providers/stepfun/stepfun.py deleted file mode 100644 index e1c41a91537cd1..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/stepfun.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class StepfunProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="step-1-8k", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/stepfun/stepfun.yaml b/api/core/model_runtime/model_providers/stepfun/stepfun.yaml deleted file mode 100644 index ccc8455adcf3ca..00000000000000 --- a/api/core/model_runtime/model_providers/stepfun/stepfun.yaml +++ /dev/null @@ -1,81 +0,0 @@ -provider: stepfun -label: - zh_Hans: 阶跃星辰 - en_US: Stepfun -description: - en_US: Models provided by stepfun, such as step-1-8k, step-1-32k、step-1v-8k、step-1v-32k, step-1-128k and step-1-256k - zh_Hans: 阶跃星辰提供的模型，例如 step-1-8k、step-1-32k、step-1v-8k、step-1v-32k、step-1-128k 和 step-1-256k。 -icon_small: - en_US: icon_s_en.png -icon_large: - en_US: icon_l_en.png -background: "#FFFFFF" -help: - title: - en_US: Get your API Key from stepfun - zh_Hans: 从 stepfun 获取 API Key - url: - en_US: https://platform.stepfun.com/interface-key -supported_model_types: - - llm -configurate_methods: - - predefined-model - - customizable-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '8192' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - default: '8192' - type: text-input - - variable: function_calling_type - label: - en_US: Function calling - type: select - required: false - default: no_call - options: - - value: no_call - label: - en_US: Not supported - zh_Hans: 不支持 - - value: tool_call - label: - en_US: Tool Call - zh_Hans: Tool Call diff --git a/api/core/model_runtime/model_providers/tencent/__init__.py b/api/core/model_runtime/model_providers/tencent/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/tencent/_assets/icon_l_en.svg deleted file mode 100644 index 63c7c8f988a904..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_en.svg +++ /dev/null @@ -1,13 +0,0 @@ - - - - - tencent-cloud - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_zh.svg b/api/core/model_runtime/model_providers/tencent/_assets/icon_l_zh.svg deleted file mode 100644 index 63c7c8f988a904..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/_assets/icon_l_zh.svg +++ /dev/null @@ -1,13 +0,0 @@ - - - - - tencent-cloud - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/tencent/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/tencent/_assets/icon_s_en.svg deleted file mode 100644 index a3299b920198d2..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/_assets/icon_s_en.svg +++ /dev/null @@ -1,11 +0,0 @@ - - - - - tencent-cloud - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/__init__.py b/api/core/model_runtime/model_providers/tencent/speech2text/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/flash_recognizer.py b/api/core/model_runtime/model_providers/tencent/speech2text/flash_recognizer.py deleted file mode 100644 index c3c21793e8eb39..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/speech2text/flash_recognizer.py +++ /dev/null @@ -1,164 +0,0 @@ -import base64 -import hashlib -import hmac -import operator -import time - -import requests - - -class Credential: - def __init__(self, secret_id, secret_key): - self.secret_id = secret_id - self.secret_key = secret_key - - -class FlashRecognitionRequest: - def __init__(self, voice_format="mp3", engine_type="16k_zh"): - self.engine_type = engine_type - self.speaker_diarization = 0 - self.hotword_id = "" - self.customization_id = "" - self.filter_dirty = 0 - self.filter_modal = 0 - self.filter_punc = 0 - self.convert_num_mode = 1 - self.word_info = 0 - self.voice_format = voice_format - self.first_channel_only = 1 - self.reinforce_hotword = 0 - self.sentence_max_length = 0 - - def set_first_channel_only(self, first_channel_only): - self.first_channel_only = first_channel_only - - def set_speaker_diarization(self, speaker_diarization): - self.speaker_diarization = speaker_diarization - - def set_filter_dirty(self, filter_dirty): - self.filter_dirty = filter_dirty - - def set_filter_modal(self, filter_modal): - self.filter_modal = filter_modal - - def set_filter_punc(self, filter_punc): - self.filter_punc = filter_punc - - def set_convert_num_mode(self, convert_num_mode): - self.convert_num_mode = convert_num_mode - - def set_word_info(self, word_info): - self.word_info = word_info - - def set_hotword_id(self, hotword_id): - self.hotword_id = hotword_id - - def set_customization_id(self, customization_id): - self.customization_id = customization_id - - def set_voice_format(self, voice_format): - self.voice_format = voice_format - - def set_sentence_max_length(self, sentence_max_length): - self.sentence_max_length = sentence_max_length - - def set_reinforce_hotword(self, reinforce_hotword): - self.reinforce_hotword = reinforce_hotword - - -class FlashRecognizer: - """ - response: - request_id string - status Integer - message String - audio_duration Integer - flash_result Result Array - - Result: - text String - channel_id Integer - sentence_list Sentence Array - - Sentence: - text String - start_time Integer - end_time Integer - speaker_id Integer - word_list Word Array - - Word: - word String - start_time Integer - end_time Integer - stable_flag： Integer - """ - - def __init__(self, appid, credential): - self.credential = credential - self.appid = appid - - def _format_sign_string(self, param): - signstr = "POSTasr.cloud.tencent.com/asr/flash/v1/" - for t in param: - if "appid" in t: - signstr += str(t[1]) - break - signstr += "?" - for x in param: - tmp = x - if "appid" in x: - continue - for t in tmp: - signstr += str(t) - signstr += "=" - signstr = signstr[:-1] - signstr += "&" - signstr = signstr[:-1] - return signstr - - def _build_header(self): - header = {"Host": "asr.cloud.tencent.com"} - return header - - def _sign(self, signstr, secret_key): - hmacstr = hmac.new(secret_key.encode("utf-8"), signstr.encode("utf-8"), hashlib.sha1).digest() - s = base64.b64encode(hmacstr) - s = s.decode("utf-8") - return s - - def _build_req_with_signature(self, secret_key, params, header): - query = sorted(params.items(), key=operator.itemgetter(0)) - signstr = self._format_sign_string(query) - signature = self._sign(signstr, secret_key) - header["Authorization"] = signature - req_url = "https://" - req_url += signstr[4::] - return req_url - - def _create_query_arr(self, req): - return { - "appid": self.appid, - "secretid": self.credential.secret_id, - "timestamp": str(int(time.time())), - "engine_type": req.engine_type, - "voice_format": req.voice_format, - "speaker_diarization": req.speaker_diarization, - "hotword_id": req.hotword_id, - "customization_id": req.customization_id, - "filter_dirty": req.filter_dirty, - "filter_modal": req.filter_modal, - "filter_punc": req.filter_punc, - "convert_num_mode": req.convert_num_mode, - "word_info": req.word_info, - "first_channel_only": req.first_channel_only, - "reinforce_hotword": req.reinforce_hotword, - "sentence_max_length": req.sentence_max_length, - } - - def recognize(self, req, data): - header = self._build_header() - query_arr = self._create_query_arr(req) - req_url = self._build_req_with_signature(self.credential.secret_key, query_arr, header) - r = requests.post(req_url, headers=header, data=data) - return r.text diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/speech2text.py b/api/core/model_runtime/model_providers/tencent/speech2text/speech2text.py deleted file mode 100644 index 5b427663ca85b0..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/speech2text/speech2text.py +++ /dev/null @@ -1,86 +0,0 @@ -import json -from typing import IO, Optional - -import requests - -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeConnectionError, - InvokeError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel -from core.model_runtime.model_providers.tencent.speech2text.flash_recognizer import ( - Credential, - FlashRecognitionRequest, - FlashRecognizer, -) - - -class TencentSpeech2TextModel(Speech2TextModel): - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - return self._speech2text_invoke(model, credentials, file) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - audio_file_path = self._get_demo_file_path() - - with open(audio_file_path, "rb") as audio_file: - self._speech2text_invoke(model, credentials, audio_file) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _speech2text_invoke(self, model: str, credentials: dict, file: IO[bytes]) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :return: text for given audio file - """ - app_id = credentials["app_id"] - secret_id = credentials["secret_id"] - secret_key = credentials["secret_key"] - voice_format = file.voice_format if hasattr(file, "voice_format") else "mp3" - tencent_voice_recognizer = FlashRecognizer(app_id, Credential(secret_id, secret_key)) - resp = tencent_voice_recognizer.recognize(FlashRecognitionRequest(voice_format), file) - resp = json.loads(resp) - code = resp["code"] - message = resp["message"] - if code == 4002: - raise CredentialsValidateFailedError(str(message)) - elif code != 0: - return f"Tencent ASR Recognition failed with code {code} and message {message}" - return "\n".join(item["text"] for item in resp["flash_result"]) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [requests.exceptions.ConnectionError], - InvokeAuthorizationError: [CredentialsValidateFailedError], - } diff --git a/api/core/model_runtime/model_providers/tencent/speech2text/tencent.yaml b/api/core/model_runtime/model_providers/tencent/speech2text/tencent.yaml deleted file mode 100644 index 618d19ac7c3b38..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/speech2text/tencent.yaml +++ /dev/null @@ -1,5 +0,0 @@ -model: tencent -model_type: speech2text -model_properties: - file_upload_limit: 25 - supported_file_extensions: flac,mp3,mp4,mpeg,mpga,m4a,ogg,wav,webm diff --git a/api/core/model_runtime/model_providers/tencent/tencent.py b/api/core/model_runtime/model_providers/tencent/tencent.py deleted file mode 100644 index 79c6f577b8d5ef..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/tencent.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class TencentProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.SPEECH2TEXT) - model_instance.validate_credentials(model="tencent", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/tencent/tencent.yaml b/api/core/model_runtime/model_providers/tencent/tencent.yaml deleted file mode 100644 index 7d8d5a186684be..00000000000000 --- a/api/core/model_runtime/model_providers/tencent/tencent.yaml +++ /dev/null @@ -1,49 +0,0 @@ -provider: tencent -label: - zh_Hans: 腾讯云 - en_US: Tencent -icon_small: - en_US: icon_s_en.svg -icon_large: - zh_Hans: icon_l_zh.svg - en_US: icon_l_en.svg -background: "#E5E7EB" -help: - title: - en_US: Get your API key from Tencent AI - zh_Hans: 从腾讯云获取 API Key - url: - en_US: https://cloud.tencent.com/product/asr -supported_model_types: - - speech2text -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: app_id - label: - zh_Hans: APPID - en_US: APPID - type: text-input - required: true - placeholder: - zh_Hans: 在此输入您的腾讯语音识别服务的 APPID - en_US: Enter the APPID of your Tencent Cloud ASR service - - variable: secret_id - label: - zh_Hans: SecretId - en_US: SecretId - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的腾讯语音识别服务的 SecretId - en_US: Enter the SecretId of your Tencent Cloud ASR service - - variable: secret_key - label: - zh_Hans: SecretKey - en_US: SecretKey - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的腾讯语音识别服务的 SecretKey - en_US: Enter the SecretKey of your Tencent Cloud ASR service diff --git a/api/core/model_runtime/model_providers/togetherai/__init__.py b/api/core/model_runtime/model_providers/togetherai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai.svg b/api/core/model_runtime/model_providers/togetherai/_assets/togetherai.svg deleted file mode 100644 index e9d918b15e1abd..00000000000000 --- a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai.svg +++ /dev/null @@ -1,13 +0,0 @@ - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai_square.svg b/api/core/model_runtime/model_providers/togetherai/_assets/togetherai_square.svg deleted file mode 100644 index 16bae5235f5de0..00000000000000 --- a/api/core/model_runtime/model_providers/togetherai/_assets/togetherai_square.svg +++ /dev/null @@ -1,19 +0,0 @@ - - - - - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/togetherai/llm/__init__.py b/api/core/model_runtime/model_providers/togetherai/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/togetherai/llm/llm.py b/api/core/model_runtime/model_providers/togetherai/llm/llm.py deleted file mode 100644 index 03eac194235e83..00000000000000 --- a/api/core/model_runtime/model_providers/togetherai/llm/llm.py +++ /dev/null @@ -1,171 +0,0 @@ -from collections.abc import Generator -from decimal import Decimal -from typing import Optional, Union - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult -from core.model_runtime.entities.message_entities import ( - PromptMessage, - PromptMessageTool, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - DefaultParameterName, - FetchFrom, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, - PriceConfig, -) -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class TogetherAILargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _update_endpoint_url(self, credentials: dict): - credentials["endpoint_url"] = "https://api.together.xyz/v1" - return credentials - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super()._invoke(model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super().validate_credentials(model, cred_with_endpoint) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super()._generate( - model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user - ) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - REPETITION_PENALTY = "repetition_penalty" - TOP_K = "top_k" - features: list[ModelFeature] = [] - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.LLM, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - features=features, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(cred_with_endpoint.get("context_size", "4096")), - ModelPropertyKey.MODE: cred_with_endpoint.get("mode"), - }, - parameter_rules=[ - ParameterRule( - name=DefaultParameterName.TEMPERATURE.value, - label=I18nObject(en_US="Temperature"), - type=ParameterType.FLOAT, - default=float(cred_with_endpoint.get("temperature", 0.7)), - min=0, - max=2, - precision=2, - ), - ParameterRule( - name=DefaultParameterName.TOP_P.value, - label=I18nObject(en_US="Top P"), - type=ParameterType.FLOAT, - default=float(cred_with_endpoint.get("top_p", 1)), - min=0, - max=1, - precision=2, - ), - ParameterRule( - name=TOP_K, - label=I18nObject(en_US="Top K"), - type=ParameterType.INT, - default=int(cred_with_endpoint.get("top_k", 50)), - min=-2147483647, - max=2147483647, - precision=0, - ), - ParameterRule( - name=REPETITION_PENALTY, - label=I18nObject(en_US="Repetition Penalty"), - type=ParameterType.FLOAT, - default=float(cred_with_endpoint.get("repetition_penalty", 1)), - min=-3.4, - max=3.4, - precision=1, - ), - ParameterRule( - name=DefaultParameterName.MAX_TOKENS.value, - label=I18nObject(en_US="Max Tokens"), - type=ParameterType.INT, - default=512, - min=1, - max=int(cred_with_endpoint.get("max_tokens_to_sample", 4096)), - ), - ParameterRule( - name=DefaultParameterName.FREQUENCY_PENALTY.value, - label=I18nObject(en_US="Frequency Penalty"), - type=ParameterType.FLOAT, - default=float(credentials.get("frequency_penalty", 0)), - min=-2, - max=2, - ), - ParameterRule( - name=DefaultParameterName.PRESENCE_PENALTY.value, - label=I18nObject(en_US="Presence Penalty"), - type=ParameterType.FLOAT, - default=float(credentials.get("presence_penalty", 0)), - min=-2, - max=2, - ), - ], - pricing=PriceConfig( - input=Decimal(cred_with_endpoint.get("input_price", 0)), - output=Decimal(cred_with_endpoint.get("output_price", 0)), - unit=Decimal(cred_with_endpoint.get("unit", 0)), - currency=cred_with_endpoint.get("currency", "USD"), - ), - ) - - if cred_with_endpoint["mode"] == "chat": - entity.model_properties[ModelPropertyKey.MODE] = LLMMode.CHAT.value - elif cred_with_endpoint["mode"] == "completion": - entity.model_properties[ModelPropertyKey.MODE] = LLMMode.COMPLETION.value - else: - raise ValueError(f"Unknown completion type {cred_with_endpoint['completion_type']}") - - return entity - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super().get_num_tokens(model, cred_with_endpoint, prompt_messages, tools) diff --git a/api/core/model_runtime/model_providers/togetherai/togetherai.py b/api/core/model_runtime/model_providers/togetherai/togetherai.py deleted file mode 100644 index aa4100a7c9b4d8..00000000000000 --- a/api/core/model_runtime/model_providers/togetherai/togetherai.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class TogetherAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/togetherai/togetherai.yaml b/api/core/model_runtime/model_providers/togetherai/togetherai.yaml deleted file mode 100644 index e69471b15def73..00000000000000 --- a/api/core/model_runtime/model_providers/togetherai/togetherai.yaml +++ /dev/null @@ -1,75 +0,0 @@ -provider: togetherai -label: - en_US: together.ai -icon_small: - en_US: togetherai_square.svg -icon_large: - en_US: togetherai.svg -background: "#F1EFED" -help: - title: - en_US: Get your API key from together.ai - zh_Hans: 从 together.ai 获取 API Key - url: - en_US: https://api.together.xyz/ -supported_model_types: - - llm -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter full model name - zh_Hans: 输入模型全称 - credential_form_schemas: - - variable: api_key - required: true - label: - en_US: API Key - type: secret-input - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: mode - show_on: - - variable: __model_type - value: llm - label: - en_US: Completion mode - type: select - required: false - default: chat - placeholder: - zh_Hans: 选择对话类型 - en_US: Select completion mode - options: - - value: completion - label: - en_US: Completion - zh_Hans: 补全 - - value: chat - label: - en_US: Chat - zh_Hans: 对话 - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '4096' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens_to_sample - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - show_on: - - variable: __model_type - value: llm - default: '4096' - type: text-input diff --git a/api/core/model_runtime/model_providers/tongyi/__init__.py b/api/core/model_runtime/model_providers/tongyi/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/tongyi/_assets/icon_l_en.png 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file mode 100644 index bb68319555007f..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/_common.py +++ /dev/null @@ -1,55 +0,0 @@ -from dashscope.common.error import ( # type: ignore - AuthenticationError, - InvalidParameter, - RequestFailure, - ServiceUnavailableError, - UnsupportedHTTPMethod, - UnsupportedModel, -) - -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) - - -class _CommonTongyi: - @staticmethod - def _to_credential_kwargs(credentials: dict) -> dict: - credentials_kwargs = { - "dashscope_api_key": credentials["dashscope_api_key"], - } - - return credentials_kwargs - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [ - RequestFailure, - ], - InvokeServerUnavailableError: [ - ServiceUnavailableError, - ], - InvokeRateLimitError: [], - InvokeAuthorizationError: [ - AuthenticationError, - ], - InvokeBadRequestError: [ - InvalidParameter, - UnsupportedModel, - UnsupportedHTTPMethod, - ], - } diff --git a/api/core/model_runtime/model_providers/tongyi/llm/__init__.py b/api/core/model_runtime/model_providers/tongyi/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml b/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml deleted file mode 100644 index 785ddeb494c0eb..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/_position.yaml +++ /dev/null @@ -1,57 +0,0 @@ -- deepseek-r1 -- deepseek-r1-distill-qwen-14b -- deepseek-r1-distill-qwen-32b -- deepseek-v3 -- qwen-vl-max-0809 -- qwen-vl-max-0201 -- qwen-vl-max -- qwen-max-latest -- qwen-max-1201 -- qwen-max-0919 -- qwen-max-0428 -- qwen-max-0403 -- qwen-max-0107 -- qwen-max -- qwen-max-longcontext -- qwen-plus-latest -- qwen-plus-0919 -- qwen-plus-0806 -- qwen-plus-0723 -- qwen-plus-0624 -- qwen-plus-0206 -- qwen-plus-chat -- qwen-plus -- qwen-vl-plus-0809 -- qwen-vl-plus-0201 -- qwen-vl-plus -- qwen-turbo-latest -- qwen-turbo-0919 -- qwen-turbo-0624 -- qwen-turbo-0206 -- qwen-turbo-chat -- qwen-turbo -- qwen2.5-72b-instruct -- qwen2.5-32b-instruct -- qwen2.5-14b-instruct -- qwen2.5-7b-instruct -- qwen2.5-3b-instruct -- qwen2.5-1.5b-instruct -- qwen2.5-0.5b-instruct -- qwen2.5-14b-instruct-1m -- qwen2.5-7b-instruct-1m -- qwen2.5-coder-7b-instruct -- qwen2-math-72b-instruct -- qwen2-math-7b-instruct -- qwen2-math-1.5b-instruct -- qwen-long -- qwen-math-plus-latest -- qwen-math-plus-0919 -- qwen-math-plus-0816 -- qwen-math-plus -- qwen-math-turbo-latest -- qwen-math-turbo-0919 -- qwen-math-turbo -- qwen-coder-turbo-latest -- qwen-coder-turbo-0919 -- qwen-coder-turbo -- farui-plus diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml deleted file mode 100644 index 2bce8805c65895..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-r1-distill-qwen-14b -label: - zh_Hans: DeepSeek-R1-Distill-Qwen-14B - en_US: DeepSeek-R1-Distill-Qwen-14B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.001" - output: "0.003" - unit: "0.001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml deleted file mode 100644 index dfc155ff6a2102..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-r1-distill-qwen-32b -label: - zh_Hans: DeepSeek-R1-Distill-Qwen-32B - en_US: DeepSeek-R1-Distill-Qwen-32B -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.002" - output: "0.006" - unit: "0.001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml deleted file mode 100644 index 742e7f00015948..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-r1.yaml +++ /dev/null @@ -1,21 +0,0 @@ -model: deepseek-r1 -label: - zh_Hans: DeepSeek-R1 - en_US: DeepSeek-R1 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 4096 -pricing: - input: "0.004" - output: "0.016" - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml b/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml deleted file mode 100644 index 23f38d60d3604b..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/deepseek-v3.yaml +++ /dev/null @@ -1,52 +0,0 @@ -model: deepseek-v3 -label: - zh_Hans: DeepSeek-V3 - en_US: DeepSeek-V3 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 64000 -parameter_rules: - - name: temperature - use_template: temperature - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: "0.002" - output: "0.008" - unit: "0.001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/farui-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/farui-plus.yaml deleted file mode 100644 index 34a57d1fc0c9a5..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/farui-plus.yaml +++ /dev/null @@ -1,77 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: farui-plus -label: - en_US: farui-plus -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 12288 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.02' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/llm.py b/api/core/model_runtime/model_providers/tongyi/llm/llm.py deleted file mode 100644 index bb987d499898b7..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/llm.py +++ /dev/null @@ -1,611 +0,0 @@ -import base64 -import os -import tempfile -import uuid -from collections.abc import Generator -from http import HTTPStatus -from pathlib import Path -from typing import Optional, Union, cast - -from dashscope import Generation, MultiModalConversation, get_tokenizer # type: ignore -from dashscope.api_entities.dashscope_response import GenerationResponse # type: ignore -from dashscope.common.error import ( # type: ignore - AuthenticationError, - InvalidParameter, - RequestFailure, - ServiceUnavailableError, - UnsupportedHTTPMethod, - UnsupportedModel, -) - -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - ToolPromptMessage, - UserPromptMessage, - VideoPromptMessageContent, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - I18nObject, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel - - -class TongyiLargeLanguageModel(LargeLanguageModel): - tokenizers = {} - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # invoke model without code wrapper - return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: - """ - # Check if the model was added via get_customizable_model_schema - if self.get_customizable_model_schema(model, credentials) is not None: - # For custom models, tokens are not calculated. - return 0 - - if model in {"qwen-turbo-chat", "qwen-plus-chat"}: - model = model.replace("-chat", "") - if model == "farui-plus": - model = "qwen-farui-plus" - - if model in self.tokenizers: - tokenizer = self.tokenizers[model] - else: - tokenizer = get_tokenizer(model) - self.tokenizers[model] = tokenizer - - # convert string to token ids - tokens = tokenizer.encode(self._convert_messages_to_prompt(prompt_messages)) - - return len(tokens) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._generate( - model=model, - credentials=credentials, - prompt_messages=[ - UserPromptMessage(content="ping"), - ], - model_parameters={ - "temperature": 0.5, - }, - stream=False, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - - mode = self.get_model_mode(model, credentials) - - if model in {"qwen-turbo-chat", "qwen-plus-chat"}: - model = model.replace("-chat", "") - - extra_model_kwargs = {} - if tools: - extra_model_kwargs["tools"] = self._convert_tools(tools) - - if stop: - extra_model_kwargs["stop"] = stop - - params = { - "model": model, - **model_parameters, - **credentials_kwargs, - **extra_model_kwargs, - } - - model_schema = self.get_model_schema(model, credentials) - if ModelFeature.VISION in (model_schema.features or []): - params["messages"] = self._convert_prompt_messages_to_tongyi_messages(prompt_messages, rich_content=True) - - response = MultiModalConversation.call(**params, stream=stream) - else: - # nothing different between chat model and completion model in tongyi - params["messages"] = self._convert_prompt_messages_to_tongyi_messages(prompt_messages) - response = Generation.call(**params, result_format="message", stream=stream, incremental_output=stream) - if stream: - return self._handle_generate_stream_response(model, credentials, response, prompt_messages) - - return self._handle_generate_response(model, credentials, response, prompt_messages) - - def _handle_generate_response( - self, model: str, credentials: dict, response: GenerationResponse, prompt_messages: list[PromptMessage] - ) -> LLMResult: - """ - Handle llm response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm response - """ - if response.status_code not in {200, HTTPStatus.OK}: - raise ServiceUnavailableError(response.message) - # transform assistant message to prompt message - resp_content = response.output.choices[0].message.content - # special for qwen-vl - if isinstance(resp_content, list): - resp_content = resp_content[0]["text"] - assistant_prompt_message = AssistantPromptMessage( - content=resp_content, - ) - - # transform usage - usage = self._calc_response_usage(model, credentials, response.usage.input_tokens, response.usage.output_tokens) - - # transform response - result = LLMResult( - model=model, - message=assistant_prompt_message, - prompt_messages=prompt_messages, - usage=usage, - ) - - return result - - def _handle_generate_stream_response( - self, - model: str, - credentials: dict, - responses: Generator[GenerationResponse, None, None], - prompt_messages: list[PromptMessage], - ) -> Generator: - """ - Handle llm stream response - - :param model: model name - :param credentials: credentials - :param responses: response - :param prompt_messages: prompt messages - :return: llm response chunk generator result - """ - full_text = "" - tool_calls = [] - is_reasoning_started = False - # for index, response in enumerate(responses): - index = 0 - for index, response in enumerate(responses): - if response.status_code not in {200, HTTPStatus.OK}: - raise ServiceUnavailableError( - f"Failed to invoke model {model}, status code: {response.status_code}, message: {response.message}" - ) - - resp_finish_reason = response.output.choices[0].finish_reason - - if resp_finish_reason is not None and resp_finish_reason != "null": - resp_content = response.output.choices[0].message.content - - assistant_prompt_message = AssistantPromptMessage( - content="", - ) - - if "tool_calls" in response.output.choices[0].message: - tool_calls = response.output.choices[0].message["tool_calls"] - elif resp_content: - # special for qwen-vl - if isinstance(resp_content, list): - resp_content = resp_content[0]["text"] - - # transform assistant message to prompt message - assistant_prompt_message.content = resp_content.replace(full_text, "", 1) - - full_text = resp_content - - if tool_calls: - message_tool_calls = [] - for tool_call_obj in tool_calls: - message_tool_call = AssistantPromptMessage.ToolCall( - id=tool_call_obj["function"]["name"], - type="function", - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=tool_call_obj["function"]["name"], arguments=tool_call_obj["function"]["arguments"] - ), - ) - message_tool_calls.append(message_tool_call) - - assistant_prompt_message.tool_calls = message_tool_calls - - # transform usage - usage = response.usage - usage = self._calc_response_usage(model, credentials, usage.input_tokens, usage.output_tokens) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index, message=assistant_prompt_message, finish_reason=resp_finish_reason, usage=usage - ), - ) - else: - message = response.output.choices[0].message - - resp_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content( - message, is_reasoning_started - ) - if not resp_content: - if "tool_calls" in response.output.choices[0].message: - tool_calls = response.output.choices[0].message["tool_calls"] - continue - - # special for qwen-vl - if isinstance(resp_content, list): - resp_content = resp_content[0]["text"] - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=resp_content.replace(full_text, "", 1), - ) - - full_text = resp_content - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message), - ) - - def _to_credential_kwargs(self, credentials: dict) -> dict: - """ - Transform credentials to kwargs for model instance - - :param credentials: - :return: - """ - credentials_kwargs = { - "api_key": credentials["dashscope_api_key"], - } - - return credentials_kwargs - - def _convert_one_message_to_text(self, message: PromptMessage) -> str: - """ - Convert a single message to a string. - - :param message: PromptMessage to convert. - :return: String representation of the message. - """ - human_prompt = "\n\nHuman:" - ai_prompt = "\n\nAssistant:" - content = message.content - - if isinstance(message, UserPromptMessage): - if isinstance(content, str): - message_text = f"{human_prompt} {content}" - else: - message_text = "" - for sub_message in content: - if sub_message.type == PromptMessageContentType.TEXT: - message_text = f"{human_prompt} {sub_message.data}" - break - elif isinstance(message, AssistantPromptMessage): - message_text = f"{ai_prompt} {content}" - elif isinstance(message, SystemPromptMessage | ToolPromptMessage): - message_text = content - else: - raise ValueError(f"Got unknown type {message}") - - return message_text - - def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str: - """ - Format a list of messages into a full prompt for the Anthropic model - - :param messages: List of PromptMessage to combine. - :return: Combined string with necessary human_prompt and ai_prompt tags. - """ - messages = messages.copy() # don't mutate the original list - - text = "".join(self._convert_one_message_to_text(message) for message in messages) - - # trim off the trailing ' ' that might come from the "Assistant: " - return text.rstrip() - - def _convert_prompt_messages_to_tongyi_messages( - self, prompt_messages: list[PromptMessage], rich_content: bool = False - ) -> list[dict]: - """ - Convert prompt messages to tongyi messages - - :param prompt_messages: prompt messages - :return: tongyi messages - """ - tongyi_messages = [] - for prompt_message in prompt_messages: - if isinstance(prompt_message, SystemPromptMessage): - tongyi_messages.append( - { - "role": "system", - "content": prompt_message.content if not rich_content else [{"text": prompt_message.content}], - } - ) - elif isinstance(prompt_message, UserPromptMessage): - if isinstance(prompt_message.content, str): - tongyi_messages.append( - { - "role": "user", - "content": prompt_message.content - if not rich_content - else [{"text": prompt_message.content}], - } - ) - else: - sub_messages = [] - for message_content in prompt_message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - sub_message_dict = {"text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - - image_url = message_content.data - if message_content.data.startswith("data:"): - # convert image base64 data to file in /tmp - image_url = self._save_base64_image_to_file(message_content.data) - - sub_message_dict = {"image": image_url} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.VIDEO: - message_content = cast(VideoPromptMessageContent, message_content) - video_url = message_content.url - if not video_url: - raise InvokeError("not support base64, please set MULTIMODAL_SEND_FORMAT to url") - - sub_message_dict = {"video": video_url} - sub_messages.append(sub_message_dict) - - # resort sub_messages to ensure text is always at last - sub_messages = sorted(sub_messages, key=lambda x: "text" in x) - - tongyi_messages.append({"role": "user", "content": sub_messages}) - elif isinstance(prompt_message, AssistantPromptMessage): - content = prompt_message.content - if not content: - content = " " - message = {"role": "assistant", "content": content if not rich_content else [{"text": content}]} - if prompt_message.tool_calls: - message["tool_calls"] = [tool_call.model_dump() for tool_call in prompt_message.tool_calls] - tongyi_messages.append(message) - elif isinstance(prompt_message, ToolPromptMessage): - tongyi_messages.append( - {"role": "tool", "content": prompt_message.content, "name": prompt_message.tool_call_id} - ) - else: - raise ValueError(f"Got unknown type {prompt_message}") - - return tongyi_messages - - def _save_base64_image_to_file(self, base64_image: str) -> str: - """ - Save base64 image to file - 'data:{upload_file.mime_type};base64,{encoded_string}' - - :param base64_image: base64 image data - :return: image file path - """ - # get mime type and encoded string - mime_type, encoded_string = base64_image.split(",")[0].split(";")[0].split(":")[1], base64_image.split(",")[1] - - # save image to file - temp_dir = tempfile.gettempdir() - - file_path = os.path.join(temp_dir, f"{uuid.uuid4()}.{mime_type.split('/')[1]}") - - Path(file_path).write_bytes(base64.b64decode(encoded_string)) - - return f"file://{file_path}" - - def _convert_tools(self, tools: list[PromptMessageTool]) -> list[dict]: - """ - Convert tools - """ - tool_definitions = [] - for tool in tools: - properties = tool.parameters["properties"] - required_properties = tool.parameters["required"] - - properties_definitions = {} - for p_key, p_val in properties.items(): - desc = p_val["description"] - if "enum" in p_val: - desc += f"; Only accepts one of the following predefined options: [{', '.join(p_val['enum'])}]" - - properties_definitions[p_key] = { - "description": desc, - "type": p_val["type"], - } - - tool_definition = { - "type": "function", - "function": { - "name": tool.name, - "description": tool.description, - "parameters": properties_definitions, - "required": required_properties, - }, - } - - tool_definitions.append(tool_definition) - - return tool_definitions - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [ - RequestFailure, - ], - InvokeServerUnavailableError: [ - ServiceUnavailableError, - ], - InvokeRateLimitError: [], - InvokeAuthorizationError: [ - AuthenticationError, - ], - InvokeBadRequestError: [ - InvalidParameter, - UnsupportedModel, - UnsupportedHTTPMethod, - ], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - Architecture for defining customizable models - - :param model: model name - :param credentials: model credentials - :return: AIModelEntity or None - """ - return AIModelEntity( - model=model, - label=I18nObject(en_US=model, zh_Hans=model), - model_type=ModelType.LLM, - features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL] - if credentials.get("function_calling_type") == "tool_call" - else [], - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)), - ModelPropertyKey.MODE: LLMMode.CHAT.value, - }, - parameter_rules=[ - ParameterRule( - name="temperature", - use_template="temperature", - label=I18nObject(en_US="Temperature", zh_Hans="温度"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="max_tokens", - use_template="max_tokens", - default=512, - min=1, - max=int(credentials.get("max_tokens", 1024)), - label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"), - type=ParameterType.INT, - ), - ParameterRule( - name="top_p", - use_template="top_p", - label=I18nObject(en_US="Top P", zh_Hans="Top P"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="top_k", - use_template="top_k", - label=I18nObject(en_US="Top K", zh_Hans="Top K"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="frequency_penalty", - use_template="frequency_penalty", - label=I18nObject(en_US="Frequency Penalty", zh_Hans="重复惩罚"), - type=ParameterType.FLOAT, - ), - ], - ) diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-0919.yaml deleted file mode 100644 index 64a3f331336bc0..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-0919.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-coder-turbo-0919 -label: - en_US: qwen-coder-turbo-0919 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-latest.yaml deleted file mode 100644 index a4c93f7047ff58..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo-latest.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-coder-turbo-latest -label: - en_US: qwen-coder-turbo-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo.yaml deleted file mode 100644 index ff68faed80810b..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-coder-turbo.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-coder-turbo -label: - en_US: qwen-coder-turbo -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-long.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-long.yaml deleted file mode 100644 index c3dbb3616fb961..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-long.yaml +++ /dev/null @@ -1,77 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-long -label: - en_US: qwen-long -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 10000000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 6000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.0005' - output: '0.002' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0816.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0816.yaml deleted file mode 100644 index 42fe1f68623bc4..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0816.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-math-plus-0816 -label: - en_US: qwen-math-plus-0816 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 3072 - min: 1 - max: 3072 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0919.yaml deleted file mode 100644 index 9b6567b8cda4d7..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-0919.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-math-plus-0919 -label: - en_US: qwen-math-plus-0919 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 3072 - min: 1 - max: 3072 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-latest.yaml deleted file mode 100644 index b2a2393b365fcb..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus-latest.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-math-plus-latest -label: - en_US: qwen-math-plus-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 3072 - min: 1 - max: 3072 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus.yaml deleted file mode 100644 index 63f4b7ff0a0879..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-plus.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-math-plus -label: - en_US: qwen-math-plus -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 3072 - min: 1 - max: 3072 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-0919.yaml deleted file mode 100644 index 4da90eec3eddfd..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-0919.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-math-turbo-0919 -label: - en_US: qwen-math-turbo-0919 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 3072 - min: 1 - max: 3072 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-latest.yaml deleted file mode 100644 index d29f8851dd3909..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo-latest.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-math-turbo-latest -label: - en_US: qwen-math-turbo-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 3072 - min: 1 - max: 3072 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo.yaml deleted file mode 100644 index 2a8f7f725e9366..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-math-turbo.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-math-turbo -label: - en_US: qwen-math-turbo -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 3072 - min: 1 - max: 3072 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml deleted file mode 100644 index 661311f1788779..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0107.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-max, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max-0107 -label: - en_US: qwen-max-0107 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.04' - output: '0.12' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml deleted file mode 100644 index 76b739a92b9660..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0403.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-max-0403, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max-0403 -label: - en_US: qwen-max-0403 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.04' - output: '0.12' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml deleted file mode 100644 index 334b41257f73a8..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0428.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-max-0428, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max-0428 -label: - en_US: qwen-max-0428 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.04' - output: '0.12' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml deleted file mode 100644 index bfa70ca9350be5..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-0919.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-max-0919, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max-0919 -label: - en_US: qwen-max-0919 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.06' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml deleted file mode 100644 index 83c5732cd66a29..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-1201.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-max, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max-1201 -label: - en_US: qwen-max-1201 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.04' - output: '0.12' - unit: '0.001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml deleted file mode 100644 index 538bfb044859e3..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-latest.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-max, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max-latest -label: - en_US: qwen-max-latest -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.06' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml deleted file mode 100644 index 52bd7587021837..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max-longcontext.yaml +++ /dev/null @@ -1,88 +0,0 @@ -# this model corresponds to qwen-max, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max-longcontext -label: - en_US: qwen-max-longcontext -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8000 - min: 1 - max: 8000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.04' - output: '0.12' - unit: '0.001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-max.yaml deleted file mode 100644 index 4af4822e86051d..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-max.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-max, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#cf6cc4aa2aokf) -model: qwen-max -label: - en_US: qwen-max -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.06' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml deleted file mode 100644 index d37052f56025f0..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0206.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-plus-0206, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus-0206 -label: - en_US: qwen-plus-0206 -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8000 - min: 1 - max: 8000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml deleted file mode 100644 index 0025db9bd10744..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0624.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-plus-0624, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus-0624 -label: - en_US: qwen-plus-0624 -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8000 - min: 1 - max: 8000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml deleted file mode 100644 index 401a15b690da48..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0723.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-plus-0723, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus-0723 -label: - en_US: qwen-plus-0723 -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8000 - min: 1 - max: 8000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml deleted file mode 100644 index 39154708a14776..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0806.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-plus-0806, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus-0806 -label: - en_US: qwen-plus-0806 -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml deleted file mode 100644 index 2ed2949a458e91..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-0919.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-plus-0919, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus-0919 -label: - en_US: qwen-plus-0919 -model_type: llm -features: - - agent-thought -model_properties: - mode: completion - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.0008' - output: '0.002' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml deleted file mode 100644 index d891796bac121a..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-chat.yaml +++ /dev/null @@ -1,88 +0,0 @@ -# this model corresponds to qwen-plus, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus-chat -label: - en_US: qwen-plus-chat -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml deleted file mode 100644 index 7ef5c0497501ac..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus-latest.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-plus-latest, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus-latest -label: - en_US: qwen-plus-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.0008' - output: '0.002' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml deleted file mode 100644 index 529a29b1b5bfb8..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-plus.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-plus, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#bb0ffee88bwnk) -model: qwen-plus -label: - en_US: qwen-plus -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.0008' - output: '0.002' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml deleted file mode 100644 index 09bc7974659d65..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0206.yaml +++ /dev/null @@ -1,86 +0,0 @@ -# this model corresponds to qwen-turbo-0206, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub) - -model: qwen-turbo-0206 -label: - en_US: qwen-turbo-0206 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml deleted file mode 100644 index 036a96d1aeed6e..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0624.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-turbo-0624, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub) -model: qwen-turbo-0624 -label: - en_US: qwen-turbo-0624 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml deleted file mode 100644 index 866efa32485ced..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-0919.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-turbo-0919, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub) -model: qwen-turbo-0919 -label: - en_US: qwen-turbo-0919 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.0003' - output: '0.0006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml deleted file mode 100644 index 98c78ba8ac20dc..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-chat.yaml +++ /dev/null @@ -1,88 +0,0 @@ -# this model corresponds to qwen-turbo, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub) -model: qwen-turbo-chat -label: - en_US: qwen-turbo-chat -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 1500 - min: 1 - max: 1500 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml deleted file mode 100644 index e1193aeb7f7a66..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo-latest.yaml +++ /dev/null @@ -1,85 +0,0 @@ -# this model corresponds to qwen-turbo-latest, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub) -model: qwen-turbo-latest -label: - en_US: qwen-turbo-latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.0006' - output: '0.0003' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml deleted file mode 100644 index a0c4ba682023ef..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-turbo.yaml +++ /dev/null @@ -1,87 +0,0 @@ -# this model corresponds to qwen-turbo, for more details -# please refer to (https://help.aliyun.com/zh/model-studio/getting-started/models#ff492e2c10lub) -model: qwen-turbo -label: - en_US: qwen-turbo -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: enable_search - type: boolean - default: false - label: - zh_Hans: 联网搜索 - en_US: Web Search - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - use_template: response_format -pricing: - input: '0.0006' - output: '0.0003' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0201.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0201.yaml deleted file mode 100644 index d80168ffc3fb55..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0201.yaml +++ /dev/null @@ -1,49 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-vl-max-0201 -label: - en_US: qwen-vl-max-0201 -model_type: llm -features: - - vision - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.02' - unit: '0.001' - currency: RMB -deprecated: true diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0809.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0809.yaml deleted file mode 100644 index 5970fec5e6d4fa..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max-0809.yaml +++ /dev/null @@ -1,78 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-vl-max-0809 -label: - en_US: qwen-vl-max-0809 -model_type: llm -features: - - vision - - agent-thought - - video -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: max_tokens - required: false - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.02' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max.yaml deleted file mode 100644 index c5c8dc5f7c4963..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-max.yaml +++ /dev/null @@ -1,78 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-vl-max -label: - en_US: qwen-vl-max -model_type: llm -features: - - vision - - agent-thought - - video -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: max_tokens - required: false - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.02' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0201.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0201.yaml deleted file mode 100644 index 9d9d6c6d11141f..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0201.yaml +++ /dev/null @@ -1,77 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-vl-plus-0201 -label: - en_US: qwen-vl-plus-0201 -model_type: llm -features: - - vision - - agent-thought -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: max_tokens - required: false - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.02' - output: '0.02' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0809.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0809.yaml deleted file mode 100644 index 2fab6db648e722..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus-0809.yaml +++ /dev/null @@ -1,78 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-vl-plus-0809 -label: - en_US: qwen-vl-plus-0809 -model_type: llm -features: - - vision - - agent-thought - - video -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: max_tokens - required: false - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.008' - output: '0.008' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus.yaml deleted file mode 100644 index 61820ca8538d29..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen-vl-plus.yaml +++ /dev/null @@ -1,78 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen-vl-plus -label: - en_US: qwen-vl-plus -model_type: llm -features: - - vision - - agent-thought - - video -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: max_tokens - required: false - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.008' - output: '0.008' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-1.5b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-1.5b-instruct.yaml deleted file mode 100644 index ea157f42ded914..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-1.5b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2-math-1.5b-instruct -label: - en_US: qwen2-math-1.5b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-72b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-72b-instruct.yaml deleted file mode 100644 index 37052a923317d9..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-72b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2-math-72b-instruct -label: - en_US: qwen2-math-72b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-7b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-7b-instruct.yaml deleted file mode 100644 index e182f1c27f7ea9..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2-math-7b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2-math-7b-instruct -label: - en_US: qwen2-math-7b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 2000 - min: 1 - max: 2000 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-0.5b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-0.5b-instruct.yaml deleted file mode 100644 index 9e75ccc1f210d9..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-0.5b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-0.5b-instruct -label: - en_US: qwen2.5-0.5b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.000' - output: '0.000' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-1.5b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-1.5b-instruct.yaml deleted file mode 100644 index 67c9d312432af7..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-1.5b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-1.5b-instruct -label: - en_US: qwen2.5-1.5b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.000' - output: '0.000' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml deleted file mode 100644 index c3d72ec47fb6db..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-14b-instruct-1m -label: - en_US: qwen2.5-14b-instruct-1m -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 1000000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.001' - output: '0.003' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct.yaml deleted file mode 100644 index 2a38be921cf3fd..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-14b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-14b-instruct -label: - en_US: qwen2.5-14b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.002' - output: '0.006' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-32b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-32b-instruct.yaml deleted file mode 100644 index e6e4fbf97808be..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-32b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-32b-instruct -label: - en_US: qwen2.5-32b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.0035' - output: '0.007' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-3b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-3b-instruct.yaml deleted file mode 100644 index 8f250379a788ab..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-3b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-3b-instruct -label: - en_US: qwen2.5-3b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.000' - output: '0.000' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-72b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-72b-instruct.yaml deleted file mode 100644 index bb3cdd6141f1ea..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-72b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-72b-instruct -label: - en_US: qwen2.5-72b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.004' - output: '0.012' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml deleted file mode 100644 index 44968e54d2f028..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-7b-instruct-1m -label: - en_US: qwen2.5-7b-instruct-1m -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 1000000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.0005' - output: '0.001' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct.yaml deleted file mode 100644 index fdcd3d42757edb..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-7b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-7b-instruct -label: - en_US: qwen2.5-7b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.001' - output: '0.002' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml b/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml deleted file mode 100644 index 7ebeec395393c7..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/llm/qwen2.5-coder-7b-instruct.yaml +++ /dev/null @@ -1,75 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models -model: qwen2.5-coder-7b-instruct -label: - en_US: qwen2.5-coder-7b-instruct -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 - en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. - - name: max_tokens - use_template: max_tokens - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 - en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.1 - max: 0.9 - help: - zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 - en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. - - name: top_k - type: int - min: 0 - max: 99 - label: - zh_Hans: 取样数量 - en_US: Top k - help: - zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 - en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. - - name: seed - required: false - type: int - default: 1234 - label: - zh_Hans: 随机种子 - en_US: Random seed - help: - zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 - en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. - - name: repetition_penalty - required: false - type: float - default: 1.1 - label: - zh_Hans: 重复惩罚 - en_US: Repetition penalty - help: - zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 - en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. - - name: response_format - use_template: response_format -pricing: - input: '0.001' - output: '0.002' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/__init__.py b/api/core/model_runtime/model_providers/tongyi/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/_position.yaml b/api/core/model_runtime/model_providers/tongyi/rerank/_position.yaml deleted file mode 100644 index 439afda99263ad..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/rerank/_position.yaml +++ /dev/null @@ -1 +0,0 @@ -- gte-rerank diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/gte-rerank.yaml b/api/core/model_runtime/model_providers/tongyi/rerank/gte-rerank.yaml deleted file mode 100644 index 44d51b9b0d9cdd..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/rerank/gte-rerank.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: gte-rerank -model_type: rerank -model_properties: - context_size: 4000 diff --git a/api/core/model_runtime/model_providers/tongyi/rerank/rerank.py b/api/core/model_runtime/model_providers/tongyi/rerank/rerank.py deleted file mode 100644 index ed682cb0f3c1e4..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/rerank/rerank.py +++ /dev/null @@ -1,138 +0,0 @@ -from typing import Optional - -import dashscope # type: ignore -from dashscope.common.error import ( # type: ignore - AuthenticationError, - InvalidParameter, - RequestFailure, - ServiceUnavailableError, - UnsupportedHTTPMethod, - UnsupportedModel, -) - -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class GTERerankModel(RerankModel): - """ - Model class for GTE rerank model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - # initialize client - dashscope.api_key = credentials["dashscope_api_key"] - - response = dashscope.TextReRank.call( - query=query, - documents=docs, - model=model, - top_n=top_n, - return_documents=True, - ) - - rerank_documents: list[RerankDocument] = [] - if not response.output: - return RerankResult(model=model, docs=rerank_documents) - for _, result in enumerate(response.output.results): - # format document - rerank_document = RerankDocument( - index=result.index, - score=result.relevance_score, - text=result["document"]["text"], - ) - - # score threshold check - if score_threshold is not None: - if result.relevance_score >= score_threshold: - rerank_documents.append(rerank_document) - else: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self.invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - print(ex) - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [ - RequestFailure, - ], - InvokeServerUnavailableError: [ - ServiceUnavailableError, - ], - InvokeRateLimitError: [], - InvokeAuthorizationError: [ - AuthenticationError, - ], - InvokeBadRequestError: [ - InvalidParameter, - UnsupportedModel, - UnsupportedHTTPMethod, - ], - } diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/__init__.py b/api/core/model_runtime/model_providers/tongyi/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v1.yaml b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v1.yaml deleted file mode 100644 index 52e35d8b50afd8..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v1.yaml +++ /dev/null @@ -1,10 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models#3383780daf8hw -model: text-embedding-v1 -model_type: text-embedding -model_properties: - context_size: 2048 - max_chunks: 25 -pricing: - input: "0.0007" - unit: "0.001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v2.yaml b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v2.yaml deleted file mode 100644 index 5bb6a8f4243d53..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v2.yaml +++ /dev/null @@ -1,10 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models#3383780daf8hw -model: text-embedding-v2 -model_type: text-embedding -model_properties: - context_size: 2048 - max_chunks: 25 -pricing: - input: "0.0007" - unit: "0.001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml b/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml deleted file mode 100644 index d8af0e2b63565d..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text-embedding-v3.yaml +++ /dev/null @@ -1,10 +0,0 @@ -# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models#3383780daf8hw -model: text-embedding-v3 -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 25 -pricing: - input: "0.0007" - unit: "0.001" - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py deleted file mode 100644 index 8c53be413002a9..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/text_embedding/text_embedding.py +++ /dev/null @@ -1,177 +0,0 @@ -import time -from typing import Optional - -import dashscope # type: ignore -import numpy as np - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import ( - EmbeddingUsage, - TextEmbeddingResult, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import ( - TextEmbeddingModel, -) -from core.model_runtime.model_providers.tongyi._common import _CommonTongyi - - -class TongyiTextEmbeddingModel(_CommonTongyi, TextEmbeddingModel): - """ - Model class for Tongyi text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - credentials_kwargs = self._to_credential_kwargs(credentials) - - context_size = self._get_context_size(model, credentials) - max_chunks = self._get_max_chunks(model, credentials) - inputs = [] - indices = [] - used_tokens = 0 - - for i, text in enumerate(texts): - # Here token count is only an approximation based on the GPT2 tokenizer - num_tokens = self._get_num_tokens_by_gpt2(text) - - if num_tokens >= context_size: - cutoff = int(np.floor(len(text) * (context_size / num_tokens))) - # if num tokens is larger than context length, only use the start - inputs.append(text[0:cutoff]) - else: - inputs.append(text) - indices += [i] - - batched_embeddings = [] - _iter = range(0, len(inputs), max_chunks) - - for i in _iter: - embeddings_batch, embedding_used_tokens = self.embed_documents( - credentials_kwargs=credentials_kwargs, - model=model, - texts=inputs[i : i + max_chunks], - ) - used_tokens += embedding_used_tokens - batched_embeddings += embeddings_batch - - # calc usage - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens) - return TextEmbeddingResult(embeddings=batched_embeddings, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - if len(texts) == 0: - return 0 - total_num_tokens = 0 - for text in texts: - total_num_tokens += self._get_num_tokens_by_gpt2(text) - - return total_num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - - # call embedding model - self.embed_documents(credentials_kwargs=credentials_kwargs, model=model, texts=["ping"]) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @staticmethod - def embed_documents(credentials_kwargs: dict, model: str, texts: list[str]) -> tuple[list[list[float]], int]: - """Call out to Tongyi's embedding endpoint. - - Args: - credentials_kwargs: The credentials to use for the call. - model: The model to use for embedding. - texts: The list of texts to embed. - - Returns: - List of embeddings, one for each text, and tokens usage. - """ - embeddings = [] - embedding_used_tokens = 0 - for text in texts: - response = dashscope.TextEmbedding.call( - api_key=credentials_kwargs["dashscope_api_key"], - model=model, - input=text, - text_type="document", - ) - if response.output and "embeddings" in response.output and response.output["embeddings"]: - data = response.output["embeddings"][0] - if "embedding" in data: - embeddings.append(data["embedding"]) - else: - raise ValueError("Embedding data is missing in the response.") - else: - raise ValueError("Response output is missing or does not contain embeddings.") - - if response.usage and "total_tokens" in response.usage: - embedding_used_tokens += response.usage["total_tokens"] - else: - raise ValueError("Response usage is missing or does not contain total tokens.") - - return [list(map(float, e)) for e in embeddings], embedding_used_tokens - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, - credentials=credentials, - price_type=PriceType.INPUT, - tokens=tokens, - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/tongyi/tongyi.py b/api/core/model_runtime/model_providers/tongyi/tongyi.py deleted file mode 100644 index a084512de9a885..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/tongyi.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class TongyiProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `qwen-turbo` model for validate, - model_instance.validate_credentials(model="qwen-turbo", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/tongyi/tongyi.yaml b/api/core/model_runtime/model_providers/tongyi/tongyi.yaml deleted file mode 100644 index 6349c227142656..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/tongyi.yaml +++ /dev/null @@ -1,88 +0,0 @@ -provider: tongyi -label: - zh_Hans: 通义千问 - en_US: TONGYI -icon_small: - en_US: icon_s_en.png -icon_large: - zh_Hans: icon_l_zh.png - en_US: icon_l_en.png -background: "#EFF1FE" -help: - title: - en_US: Get your API key from AliCloud - zh_Hans: 从阿里云百炼获取 API Key - url: - en_US: https://bailian.console.aliyun.com/?apiKey=1#/api-key -supported_model_types: - - llm - - tts - - text-embedding - - rerank -configurate_methods: - - predefined-model - - customizable-model -provider_credential_schema: - credential_form_schemas: - - variable: dashscope_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: dashscope_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '4096' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - default: '4096' - type: text-input - show_on: - - variable: __model_type - value: llm - - variable: function_calling_type - label: - en_US: Function calling - type: select - required: false - default: no_call - options: - - value: no_call - label: - en_US: Not Support - zh_Hans: 不支持 - - value: function_call - label: - en_US: Support - zh_Hans: 支持 - show_on: - - variable: __model_type - value: llm diff --git a/api/core/model_runtime/model_providers/tongyi/tts/__init__.py b/api/core/model_runtime/model_providers/tongyi/tts/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/tongyi/tts/tts-1.yaml b/api/core/model_runtime/model_providers/tongyi/tts/tts-1.yaml deleted file mode 100644 index 4eaa0ff3612bf2..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/tts/tts-1.yaml +++ /dev/null @@ -1,139 +0,0 @@ -model: tts-1 -model_type: tts -model_properties: - default_voice: 'sambert-zhiru-v1' - voices: - - mode: "sambert-zhinan-v1" - name: "知楠（广告男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiqi-v1" - name: "知琪（温柔女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhichu-v1" - name: "知厨（新闻播报）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhide-v1" - name: "知德（新闻男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhijia-v1" - name: "知佳（标准女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiru-v1" - name: "知茹（新闻女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiqian-v1" - name: "知倩（配音解说、新闻播报）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhixiang-v1" - name: "知祥（配音解说）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiwei-v1" - name: "知薇（萝莉女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhihao-v1" - name: "知浩（咨询男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhijing-v1" - name: "知婧（严厉女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiming-v1" - name: "知茗（诙谐男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhimo-v1" - name: "知墨（情感男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhina-v1" - name: "知娜（浙普女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhishu-v1" - name: "知树（资讯男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhistella-v1" - name: "知莎（知性女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiting-v1" - name: "知婷（电台女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhixiao-v1" - name: "知笑（资讯女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiya-v1" - name: "知雅（严厉女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiye-v1" - name: "知晔（青年男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiying-v1" - name: "知颖（软萌童声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhiyuan-v1" - name: "知媛（知心姐姐）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhigui-v1" - name: "知柜（直播女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhishuo-v1" - name: "知硕（自然男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhimiao-emo-v1" - name: "知妙（多种情感女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhimao-v1" - name: "知猫（直播女声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhilun-v1" - name: "知伦（悬疑解说）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhifei-v1" - name: "知飞（激昂解说）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-zhida-v1" - name: "知达（标准男声）" - language: [ "zh-Hans", "en-US" ] - - mode: "sambert-camila-v1" - name: "Camila（西班牙语女声）" - language: [ "es-ES" ] - - mode: "sambert-perla-v1" - name: "Perla（意大利语女声）" - language: [ "it-IT" ] - - mode: "sambert-indah-v1" - name: "Indah（印尼语女声）" - language: [ "id-ID" ] - - mode: "sambert-clara-v1" - name: "Clara（法语女声）" - language: [ "fr-FR" ] - - mode: "sambert-hanna-v1" - name: "Hanna（德语女声）" - language: [ "de-DE" ] - - mode: "sambert-beth-v1" - name: "Beth（咨询女声）" - language: [ "en-US" ] - - mode: "sambert-betty-v1" - name: "Betty（客服女声）" - language: [ "en-US" ] - - mode: "sambert-cally-v1" - name: "Cally（自然女声）" - language: [ "en-US" ] - - mode: "sambert-cindy-v1" - name: "Cindy（对话女声）" - language: [ "en-US" ] - - mode: "sambert-eva-v1" - name: "Eva（陪伴女声）" - language: [ "en-US" ] - - mode: "sambert-donna-v1" - name: "Donna（教育女声）" - language: [ "en-US" ] - - mode: "sambert-brian-v1" - name: "Brian（客服男声）" - language: [ "en-US" ] - - mode: "sambert-waan-v1" - name: "Waan（泰语女声）" - language: [ "th-TH" ] - word_limit: 7000 - audio_type: 'mp3' - max_workers: 5 -pricing: - input: '1' - output: '0' - unit: '0.0001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/tongyi/tts/tts.py b/api/core/model_runtime/model_providers/tongyi/tts/tts.py deleted file mode 100644 index a654e2d760d7c4..00000000000000 --- a/api/core/model_runtime/model_providers/tongyi/tts/tts.py +++ /dev/null @@ -1,152 +0,0 @@ -import threading -from queue import Queue -from typing import Any, Optional - -import dashscope # type: ignore -from dashscope import SpeechSynthesizer # type: ignore -from dashscope.api_entities.dashscope_response import SpeechSynthesisResponse # type: ignore -from dashscope.audio.tts import ResultCallback, SpeechSynthesisResult # type: ignore - -from core.model_runtime.errors.invoke import InvokeBadRequestError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.tts_model import TTSModel -from core.model_runtime.model_providers.tongyi._common import _CommonTongyi - - -class TongyiText2SpeechModel(_CommonTongyi, TTSModel): - """ - Model class for Tongyi Speech to text model. - """ - - def _invoke( - self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None - ) -> Any: - """ - _invoke text2speech model - - :param model: model name - :param tenant_id: user tenant id - :param credentials: model credentials - :param voice: model timbre - :param content_text: text content to be translated - :param user: unique user id - :return: text translated to audio file - """ - if not voice or voice not in [ - d["value"] for d in self.get_tts_model_voices(model=model, credentials=credentials) - ]: - voice = self._get_model_default_voice(model, credentials) - - return self._tts_invoke_streaming(model=model, credentials=credentials, content_text=content_text, voice=voice) - - def validate_credentials(self, model: str, credentials: dict, user: Optional[str] = None) -> None: - """ - validate credentials text2speech model - - :param model: model name - :param credentials: model credentials - :param user: unique user id - :return: text translated to audio file - """ - try: - self._tts_invoke_streaming( - model=model, - credentials=credentials, - content_text="Hello Dify!", - voice=self._get_model_default_voice(model, credentials), - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any: - """ - _tts_invoke_streaming text2speech model - - :param model: model name - :param credentials: model credentials - :param voice: model timbre - :param content_text: text content to be translated - :return: text translated to audio file - """ - word_limit = self._get_model_word_limit(model, credentials) - audio_type = self._get_model_audio_type(model, credentials) - try: - audio_queue: Queue = Queue() - callback = Callback(queue=audio_queue) - - def invoke_remote(content, v, api_key, cb, at, wl): - if len(content) < word_limit: - sentences = [content] - else: - sentences = list(self._split_text_into_sentences(org_text=content, max_length=wl)) - for sentence in sentences: - SpeechSynthesizer.call( - model=v, - sample_rate=16000, - api_key=api_key, - text=sentence.strip(), - callback=cb, - format=at, - word_timestamp_enabled=True, - phoneme_timestamp_enabled=True, - ) - - threading.Thread( - target=invoke_remote, - args=(content_text, voice, credentials.get("dashscope_api_key"), callback, audio_type, word_limit), - ).start() - - while True: - audio = audio_queue.get() - if audio is None: - break - yield audio - - except Exception as ex: - raise InvokeBadRequestError(str(ex)) - - @staticmethod - def _process_sentence(sentence: str, credentials: dict, voice: str, audio_type: str): - """ - _tts_invoke Tongyi text2speech model api - - :param credentials: model credentials - :param sentence: text content to be translated - :param voice: model timbre - :param audio_type: audio file type - :return: text translated to audio file - """ - response = dashscope.audio.tts.SpeechSynthesizer.call( - model=voice, - sample_rate=48000, - api_key=credentials.get("dashscope_api_key"), - text=sentence.strip(), - format=audio_type, - ) - if isinstance(response.get_audio_data(), bytes): - return response.get_audio_data() - - -class Callback(ResultCallback): - def __init__(self, queue: Queue): - self._queue = queue - - def on_open(self): - pass - - def on_complete(self): - self._queue.put(None) - self._queue.task_done() - - def on_error(self, response: SpeechSynthesisResponse): - self._queue.put(None) - self._queue.task_done() - - def on_close(self): - self._queue.put(None) - self._queue.task_done() - - def on_event(self, result: SpeechSynthesisResult): - ad = result.get_audio_frame() - if ad: - self._queue.put(ad) diff --git 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ziX_pO|Fl10P`%g_7oDxc2fxA&NB0KK-}dX^`d7F5(B$M_3g0(4mQEW2jCn9M`$#fG z9!^eq`MLb{mt7jVERuO{@f{8;Z6Io}urx2_Vk7`qFxu}xR&z6Jt9r@tHbo`Tp>6C- z%hsyXLR~v+o0)rUnECA(-iC6~*!BYTn-`o!Mgz$EN@Zd?fszFo%3S`H*Ku5FPsV|p z!M|_868`^Mx)35d6sz#yj{4~X;-U$!UJisX7TW9fqUv@k8dWCt8%~>%FnsS(8G&Gfe`J*Ewi>TnqE`gYuG@>QBS7tu9?na*bz#-3eN8Ec!iU-XldX6 z^0PbCs8G$rCARSMz1qi}So^kr$~NO$uNu!NH0=)Kp;6^J_w!Wv9WS`pFXs&F+?)I; zlr4h(fzfjXOBNqm@(^#7JN)DrrlE!z$Zw-5-to(hnFCp3dvj+u(ydpxquC&+ULnX9 zs%TRXGN%IF4ri6mNE~32-=)m3*2uf1VrUnI%F`S)J7q@5efw^`=)pBbp#={3O&H5# zY?td@VU;aoAu;o4&bLIRzc8k;$m?9@1AbtvSTTjBCu$rnkvJUTr@vRGi&843=QtJ- zG(2%T#UA3iXuK{C*BZfvx~hGI`F&;?SCl@G&h|r#@&@j6|DlhIYXJEE{-d)1;KBdV zc@5Aj{-YB(g8jJHTwG`UzueLJLvtSgv7!<1LQ54;1^tH?xuU!QrRc}be*palqu - - diff --git a/api/core/model_runtime/model_providers/triton_inference_server/llm/__init__.py b/api/core/model_runtime/model_providers/triton_inference_server/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py b/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py deleted file mode 100644 index 3fb3012ae494f6..00000000000000 --- a/api/core/model_runtime/model_providers/triton_inference_server/llm/llm.py +++ /dev/null @@ -1,281 +0,0 @@ -from collections.abc import Generator -from typing import Optional - -from httpx import Response, post -from yarl import URL - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel - - -class TritonInferenceAILargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - """ - invoke LLM - - see `core.model_runtime.model_providers.__base.large_language_model.LargeLanguageModel._invoke` - """ - return self._generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - validate credentials - """ - if "server_url" not in credentials: - raise CredentialsValidateFailedError("server_url is required in credentials") - - try: - self._invoke( - model=model, - credentials=credentials, - prompt_messages=[UserPromptMessage(content="ping")], - model_parameters={}, - stream=False, - ) - except InvokeError as ex: - raise CredentialsValidateFailedError(f"An error occurred during connection: {str(ex)}") - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - """ - get number of tokens - - cause TritonInference LLM is a customized model, we could net detect which tokenizer to use - so we just take the GPT2 tokenizer as default - """ - return self._get_num_tokens_by_gpt2(self._convert_prompt_message_to_text(prompt_messages)) - - def _convert_prompt_message_to_text(self, message: list[PromptMessage]) -> str: - """ - convert prompt message to text - """ - text = "" - for item in message: - if isinstance(item, UserPromptMessage): - text += f"User: {item.content}" - elif isinstance(item, SystemPromptMessage): - text += f"System: {item.content}" - elif isinstance(item, AssistantPromptMessage): - text += f"Assistant: {item.content}" - else: - raise NotImplementedError(f"PromptMessage type {type(item)} is not supported") - return text - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - rules = [ - ParameterRule( - name="temperature", - type=ParameterType.FLOAT, - use_template="temperature", - label=I18nObject(zh_Hans="温度", en_US="Temperature"), - ), - ParameterRule( - name="top_p", - type=ParameterType.FLOAT, - use_template="top_p", - label=I18nObject(zh_Hans="Top P", en_US="Top P"), - ), - ParameterRule( - name="max_tokens", - type=ParameterType.INT, - use_template="max_tokens", - min=1, - max=int(credentials.get("context_length", 2048)), - default=min(512, int(credentials.get("context_length", 2048))), - label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"), - ), - ] - - completion_type = None - - if "completion_type" in credentials: - if credentials["completion_type"] == "chat": - completion_type = LLMMode.CHAT.value - elif credentials["completion_type"] == "completion": - completion_type = LLMMode.COMPLETION.value - else: - raise ValueError(f"completion_type {credentials['completion_type']} is not supported") - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - parameter_rules=rules, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.LLM, - model_properties={ - ModelPropertyKey.MODE: completion_type, - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_length", 2048)), - }, - ) - - return entity - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - """ - generate text from LLM - """ - if "server_url" not in credentials: - raise CredentialsValidateFailedError("server_url is required in credentials") - - if "stream" in credentials and not bool(credentials["stream"]) and stream: - raise ValueError(f"stream is not supported by model {model}") - - try: - parameters = {} - if "temperature" in model_parameters: - parameters["temperature"] = model_parameters["temperature"] - if "top_p" in model_parameters: - parameters["top_p"] = model_parameters["top_p"] - if "top_k" in model_parameters: - parameters["top_k"] = model_parameters["top_k"] - if "presence_penalty" in model_parameters: - parameters["presence_penalty"] = model_parameters["presence_penalty"] - if "frequency_penalty" in model_parameters: - parameters["frequency_penalty"] = model_parameters["frequency_penalty"] - - response = post( - str(URL(credentials["server_url"]) / "v2" / "models" / model / "generate"), - json={ - "text_input": self._convert_prompt_message_to_text(prompt_messages), - "max_tokens": model_parameters.get("max_tokens", 512), - "parameters": {"stream": False, **parameters}, - }, - timeout=(10, 120), - ) - response.raise_for_status() - if response.status_code != 200: - raise InvokeBadRequestError(f"Invoke failed with status code {response.status_code}, {response.text}") - - if stream: - return self._handle_chat_stream_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response - ) - return self._handle_chat_generate_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=response - ) - except Exception as ex: - raise InvokeConnectionError(f"An error occurred during connection: {str(ex)}") - - def _handle_chat_generate_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: Response, - ) -> LLMResult: - """ - handle normal chat generate response - """ - text = resp.json()["text_output"] - - usage = LLMUsage.empty_usage() - usage.prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - usage.completion_tokens = self._get_num_tokens_by_gpt2(text) - - return LLMResult( - model=model, prompt_messages=prompt_messages, message=AssistantPromptMessage(content=text), usage=usage - ) - - def _handle_chat_stream_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: Response, - ) -> Generator: - """ - handle normal chat generate response - """ - text = resp.json()["text_output"] - - usage = LLMUsage.empty_usage() - usage.prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - usage.completion_tokens = self._get_num_tokens_by_gpt2(text) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=0, message=AssistantPromptMessage(content=text), usage=usage), - ) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [], - InvokeRateLimitError: [], - InvokeAuthorizationError: [], - InvokeBadRequestError: [ValueError], - } diff --git a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.py b/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.py deleted file mode 100644 index d85f7c82e7db71..00000000000000 --- a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class XinferenceAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.yaml b/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.yaml deleted file mode 100644 index 218678b8835519..00000000000000 --- a/api/core/model_runtime/model_providers/triton_inference_server/triton_inference_server.yaml +++ /dev/null @@ -1,84 +0,0 @@ -provider: triton_inference_server -label: - en_US: Triton Inference Server -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.png -background: "#EFFDFD" -help: - title: - en_US: How to deploy Triton Inference Server - zh_Hans: 如何部署 Triton Inference Server - url: - en_US: https://github.com/triton-inference-server/server -supported_model_types: - - llm -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: server_url - label: - zh_Hans: 服务器URL - en_US: Server url - type: text-input - required: true - placeholder: - zh_Hans: 在此输入 Triton Inference Server 的服务器地址，如 http://192.168.1.100:8000 - en_US: Enter the url of your Triton Inference Server, e.g. http://192.168.1.100:8000 - - variable: context_size - label: - zh_Hans: 上下文大小 - en_US: Context size - type: text-input - required: true - placeholder: - zh_Hans: 在此输入您的上下文大小 - en_US: Enter the context size - default: '2048' - - variable: completion_type - label: - zh_Hans: 补全类型 - en_US: Model type - type: select - required: true - default: chat - placeholder: - zh_Hans: 在此输入您的补全类型 - en_US: Enter the completion type - options: - - label: - zh_Hans: 补全模型 - en_US: Completion model - value: completion - - label: - zh_Hans: 对话模型 - en_US: Chat model - value: chat - - variable: stream - label: - zh_Hans: 流式输出 - en_US: Stream output - type: select - required: true - default: 'true' - placeholder: - zh_Hans: 是否支持流式输出 - en_US: Whether to support stream output - options: - - label: - zh_Hans: 是 - en_US: 'Yes' - value: 'true' - - label: - zh_Hans: 否 - en_US: 'No' - value: 'false' diff --git a/api/core/model_runtime/model_providers/upstage/__init__.py b/api/core/model_runtime/model_providers/upstage/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/upstage/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/upstage/_assets/icon_l_en.svg deleted file mode 100644 index 0761f85ba64958..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/_assets/icon_l_en.svg +++ /dev/null @@ -1,14 +0,0 @@ - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/upstage/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/upstage/_assets/icon_s_en.svg deleted file mode 100644 index 44ef12b7303098..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/_assets/icon_s_en.svg +++ /dev/null @@ -1,3 +0,0 @@ - - - diff --git a/api/core/model_runtime/model_providers/upstage/_common.py b/api/core/model_runtime/model_providers/upstage/_common.py deleted file mode 100644 index f6609bba77129b..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/_common.py +++ /dev/null @@ -1,52 +0,0 @@ -import openai -from httpx import Timeout - -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) - - -class _CommonUpstage: - def _to_credential_kwargs(self, credentials: dict) -> dict: - """ - Transform credentials to kwargs for model instance - - :param credentials: - :return: - """ - credentials_kwargs = { - "api_key": credentials["upstage_api_key"], - "base_url": "https://api.upstage.ai/v1/solar", - "timeout": Timeout(315.0, read=300.0, write=20.0, connect=10.0), - "max_retries": 1, - } - - return credentials_kwargs - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError], - InvokeServerUnavailableError: [openai.InternalServerError], - InvokeRateLimitError: [openai.RateLimitError], - InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError], - InvokeBadRequestError: [ - openai.BadRequestError, - openai.NotFoundError, - openai.UnprocessableEntityError, - openai.APIError, - ], - } diff --git a/api/core/model_runtime/model_providers/upstage/llm/__init__.py b/api/core/model_runtime/model_providers/upstage/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/upstage/llm/_position.yaml b/api/core/model_runtime/model_providers/upstage/llm/_position.yaml deleted file mode 100644 index 7992843dcb1d1d..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/llm/_position.yaml +++ /dev/null @@ -1 +0,0 @@ -- solar-1-mini-chat diff --git a/api/core/model_runtime/model_providers/upstage/llm/llm.py b/api/core/model_runtime/model_providers/upstage/llm/llm.py deleted file mode 100644 index 2bf6796ca5cf45..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/llm/llm.py +++ /dev/null @@ -1,603 +0,0 @@ -import logging -from collections.abc import Generator -from typing import Optional, Union, cast - -from openai import OpenAI, Stream -from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall -from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, ChoiceDeltaToolCall -from openai.types.chat.chat_completion_message import FunctionCall -from tokenizers import Tokenizer # type: ignore - -from core.model_runtime.callbacks.base_callback import Callback -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.upstage._common import _CommonUpstage - -logger = logging.getLogger(__name__) - -UPSTAGE_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object. -The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure -if you are not sure about the structure. - - -{{instructions}} - -""" # noqa: E501 - - -class UpstageLargeLanguageModel(_CommonUpstage, LargeLanguageModel): - """ - Model class for Upstage large language model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - - return self._chat_generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def _code_block_mode_wrapper( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - callbacks: Optional[list[Callback]] = None, - ) -> Union[LLMResult, Generator]: - """ - Code block mode wrapper for invoking large language model - """ - if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}: - stop = stop or [] - self._transform_chat_json_prompts( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - response_format=model_parameters["response_format"], - ) - model_parameters.pop("response_format") - - return self._invoke( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def _transform_chat_json_prompts( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - response_format: str = "JSON", - ) -> None: - """ - Transform json prompts - """ - if stop is None: - stop = [] - if "```\n" not in stop: - stop.append("```\n") - if "\n```" not in stop: - stop.append("\n```") - - if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage): - prompt_messages[0] = SystemPromptMessage( - content=UPSTAGE_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace( - "{{block}}", response_format - ) - ) - prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}\n")) - else: - prompt_messages.insert( - 0, - SystemPromptMessage( - content=UPSTAGE_BLOCK_MODE_PROMPT.replace( - "{{instructions}}", f"Please output a valid {response_format} object." - ).replace("{{block}}", response_format) - ), - ) - prompt_messages.append(AssistantPromptMessage(content=f"\n```{response_format}")) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: - """ - return self._num_tokens_from_messages(model, prompt_messages, tools) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - - client.chat.completions.create( - messages=[{"role": "user", "content": "ping"}], model=model, temperature=0, max_tokens=10, stream=False - ) - except Exception as e: - raise CredentialsValidateFailedError(str(e)) - - def _chat_generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - - extra_model_kwargs = {} - - if tools: - extra_model_kwargs["functions"] = [ - {"name": tool.name, "description": tool.description, "parameters": tool.parameters} for tool in tools - ] - - if stop: - extra_model_kwargs["stop"] = stop - - if user: - extra_model_kwargs["user"] = user - - # chat model - response = client.chat.completions.create( - messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages], - model=model, - stream=stream, - **model_parameters, - **extra_model_kwargs, - ) - - if stream: - return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools) - return self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools) - - def _handle_chat_generate_response( - self, - model: str, - credentials: dict, - response: ChatCompletion, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> LLMResult: - """ - Handle llm chat response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: llm response - """ - assistant_message = response.choices[0].message - # assistant_message_tool_calls = assistant_message.tool_calls - assistant_message_function_call = assistant_message.function_call - - # extract tool calls from response - # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls) - function_call = self._extract_response_function_call(assistant_message_function_call) - tool_calls = [function_call] if function_call else [] - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=assistant_message.content, tool_calls=tool_calls) - - # calculate num tokens - if response.usage: - # transform usage - prompt_tokens = response.usage.prompt_tokens - completion_tokens = response.usage.completion_tokens - else: - # calculate num tokens - prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools) - completion_tokens = self._num_tokens_from_messages(model, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - response = LLMResult( - model=response.model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - system_fingerprint=response.system_fingerprint, - ) - - return response - - def _handle_chat_generate_stream_response( - self, - model: str, - credentials: dict, - response: Stream[ChatCompletionChunk], - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> Generator: - """ - Handle llm chat stream response - - :param model: model name - :param response: response - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: llm response chunk generator - """ - full_assistant_content = "" - delta_assistant_message_function_call_storage: Optional[ChoiceDeltaFunctionCall] = None - prompt_tokens = 0 - completion_tokens = 0 - final_tool_calls = [] - final_chunk = LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=""), - ), - ) - - for chunk in response: - if len(chunk.choices) == 0: - if chunk.usage: - # calculate num tokens - prompt_tokens = chunk.usage.prompt_tokens - completion_tokens = chunk.usage.completion_tokens - continue - - delta = chunk.choices[0] - has_finish_reason = delta.finish_reason is not None - - if ( - not has_finish_reason - and (delta.delta.content is None or delta.delta.content == "") - and delta.delta.function_call is None - ): - continue - - # assistant_message_tool_calls = delta.delta.tool_calls - assistant_message_function_call = delta.delta.function_call - - # extract tool calls from response - if delta_assistant_message_function_call_storage is not None: - # handle process of stream function call - if assistant_message_function_call: - # message has not ended ever - delta_assistant_message_function_call_storage.arguments += assistant_message_function_call.arguments - continue - else: - # message has ended - assistant_message_function_call = delta_assistant_message_function_call_storage - delta_assistant_message_function_call_storage = None - else: - if assistant_message_function_call: - # start of stream function call - delta_assistant_message_function_call_storage = assistant_message_function_call - if delta_assistant_message_function_call_storage.arguments is None: - delta_assistant_message_function_call_storage.arguments = "" - if not has_finish_reason: - continue - - # tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls) - function_call = self._extract_response_function_call(assistant_message_function_call) - tool_calls = [function_call] if function_call else [] - if tool_calls: - final_tool_calls.extend(tool_calls) - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=delta.delta.content or "", tool_calls=tool_calls) - - full_assistant_content += delta.delta.content or "" - - if has_finish_reason: - final_chunk = LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - finish_reason=delta.finish_reason, - ), - ) - else: - yield LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - ), - ) - - if not prompt_tokens: - prompt_tokens = self._num_tokens_from_messages(model, prompt_messages, tools) - - if not completion_tokens: - full_assistant_prompt_message = AssistantPromptMessage( - content=full_assistant_content, tool_calls=final_tool_calls - ) - completion_tokens = self._num_tokens_from_messages(model, [full_assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - final_chunk.delta.usage = usage - - yield final_chunk - - def _extract_response_tool_calls( - self, response_tool_calls: list[ChatCompletionMessageToolCall | ChoiceDeltaToolCall] - ) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_tool_calls: - for response_tool_call in response_tool_calls: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call.function.name, arguments=response_tool_call.function.arguments - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call.id, type=response_tool_call.type, function=function - ) - tool_calls.append(tool_call) - - return tool_calls - - def _extract_response_function_call( - self, response_function_call: FunctionCall | ChoiceDeltaFunctionCall - ) -> AssistantPromptMessage.ToolCall: - """ - Extract function call from response - - :param response_function_call: response function call - :return: tool call - """ - tool_call = None - if response_function_call: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_function_call.name, arguments=response_function_call.arguments - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_function_call.name, type="function", function=function - ) - - return tool_call - - def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict for Upstage API - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - sub_message_dict = { - "type": "image_url", - "image_url": {"url": message_content.data, "detail": message_content.detail.value}, - } - sub_messages.append(sub_message_dict) - - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls: - # message_dict["tool_calls"] = [tool_call.dict() for tool_call in - # message.tool_calls] - function_call = message.tool_calls[0] - message_dict["function_call"] = { - "name": function_call.function.name, - "arguments": function_call.function.arguments, - } - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - # message_dict = { - # "role": "tool", - # "content": message.content, - # "tool_call_id": message.tool_call_id - # } - message_dict = {"role": "function", "content": message.content, "name": message.tool_call_id} - else: - raise ValueError(f"Got unknown type {message}") - - if message.name: - message_dict["name"] = message.name - - return message_dict - - def _get_tokenizer(self) -> Tokenizer: - return Tokenizer.from_pretrained("upstage/solar-1-mini-tokenizer") - - def _num_tokens_from_messages( - self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None - ) -> int: - """ - Calculate num tokens for solar with Huggingface Solar tokenizer. - Solar tokenizer is opened in huggingface https://huggingface.co/upstage/solar-1-mini-tokenizer - """ - tokenizer = self._get_tokenizer() - tokens_per_message = 5 # <|im_start|>{role}\n{message}<|im_end|> - tokens_prefix = 1 # <|startoftext|> - tokens_suffix = 3 # <|im_start|>assistant\n - - num_tokens = 0 - num_tokens += tokens_prefix - - messages_dict = [self._convert_prompt_message_to_dict(message) for message in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += len(tokenizer.encode(t_key, add_special_tokens=False)) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += len(tokenizer.encode(f_key, add_special_tokens=False)) - num_tokens += len(tokenizer.encode(f_value, add_special_tokens=False)) - else: - num_tokens += len(tokenizer.encode(t_key, add_special_tokens=False)) - num_tokens += len(tokenizer.encode(t_value, add_special_tokens=False)) - else: - num_tokens += len(tokenizer.encode(str(value), add_special_tokens=False)) - num_tokens += tokens_suffix - - if tools: - num_tokens += self._num_tokens_for_tools(tokenizer, tools) - - return num_tokens - - def _num_tokens_for_tools(self, tokenizer: Tokenizer, tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for tool calling with upstage tokenizer. - - :param tokenizer: huggingface tokenizer - :param tools: tools for tool calling - :return: number of tokens - """ - num_tokens = 0 - for tool in tools: - num_tokens += len(tokenizer.encode("type")) - num_tokens += len(tokenizer.encode("function")) - - # calculate num tokens for function object - num_tokens += len(tokenizer.encode("name")) - num_tokens += len(tokenizer.encode(tool.name)) - num_tokens += len(tokenizer.encode("description")) - num_tokens += len(tokenizer.encode(tool.description)) - parameters = tool.parameters - num_tokens += len(tokenizer.encode("parameters")) - if "title" in parameters: - num_tokens += len(tokenizer.encode("title")) - num_tokens += len(tokenizer.encode(parameters.get("title"))) - num_tokens += len(tokenizer.encode("type")) - num_tokens += len(tokenizer.encode(parameters.get("type"))) - if "properties" in parameters: - num_tokens += len(tokenizer.encode("properties")) - for key, value in parameters.get("properties").items(): - num_tokens += len(tokenizer.encode(key)) - for field_key, field_value in value.items(): - num_tokens += len(tokenizer.encode(field_key)) - if field_key == "enum": - for enum_field in field_value: - num_tokens += 3 - num_tokens += len(tokenizer.encode(enum_field)) - else: - num_tokens += len(tokenizer.encode(field_key)) - num_tokens += len(tokenizer.encode(str(field_value))) - if "required" in parameters: - num_tokens += len(tokenizer.encode("required")) - for required_field in parameters["required"]: - num_tokens += 3 - num_tokens += len(tokenizer.encode(required_field)) - - return num_tokens diff --git a/api/core/model_runtime/model_providers/upstage/llm/solar-1-mini-chat.yaml b/api/core/model_runtime/model_providers/upstage/llm/solar-1-mini-chat.yaml deleted file mode 100644 index 787ac83f8ad92d..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/llm/solar-1-mini-chat.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: solar-1-mini-chat -label: - zh_Hans: solar-1-mini-chat - en_US: solar-1-mini-chat - ko_KR: solar-1-mini-chat -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 32768 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 512 - min: 1 - max: 32768 - - name: seed - label: - zh_Hans: 种子 - en_US: Seed - type: int - help: - zh_Hans: - 如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint - 响应参数来监视变化。 - en_US: - If specified, model will make a best effort to sample deterministically, - such that repeated requests with the same seed and parameters should return - the same result. Determinism is not guaranteed, and you should refer to the - system_fingerprint response parameter to monitor changes in the backend. - required: false -pricing: - input: "0.5" - output: "0.5" - unit: "0.000001" - currency: USD diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/__init__.py b/api/core/model_runtime/model_providers/upstage/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-passage.yaml b/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-passage.yaml deleted file mode 100644 index d838a5bbb1bbfd..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-passage.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: solar-embedding-1-large-passage -model_type: text-embedding -model_properties: - context_size: 4000 - max_chunks: 32 -pricing: - input: '0.1' - unit: '0.000001' - currency: 'USD' diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-query.yaml b/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-query.yaml deleted file mode 100644 index c77645cffdd8f4..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/text_embedding/solar-embedding-1-large-query.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: solar-embedding-1-large-query -model_type: text-embedding -model_properties: - context_size: 4000 - max_chunks: 32 -pricing: - input: '0.1' - unit: '0.000001' - currency: 'USD' diff --git a/api/core/model_runtime/model_providers/upstage/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/upstage/text_embedding/text_embedding.py deleted file mode 100644 index 87693eca768dfd..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/text_embedding/text_embedding.py +++ /dev/null @@ -1,199 +0,0 @@ -import base64 -import time -from typing import Union - -import numpy as np -from openai import OpenAI -from tokenizers import Tokenizer # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.upstage._common import _CommonUpstage - - -class UpstageTextEmbeddingModel(_CommonUpstage, TextEmbeddingModel): - """ - Model class for Upstage text embedding model. - """ - - def _get_tokenizer(self) -> Tokenizer: - return Tokenizer.from_pretrained("upstage/solar-1-mini-tokenizer") - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: str | None = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - - extra_model_kwargs = {} - if user: - extra_model_kwargs["user"] = user - extra_model_kwargs["encoding_format"] = "base64" - - context_size = self._get_context_size(model, credentials) - max_chunks = self._get_max_chunks(model, credentials) - - embeddings: list[list[float]] = [[] for _ in range(len(texts))] - tokens = [] - indices = [] - used_tokens = 0 - - tokenizer = self._get_tokenizer() - - for i, text in enumerate(texts): - token = tokenizer.encode(text, add_special_tokens=False).tokens - for j in range(0, len(token), context_size): - tokens += [token[j : j + context_size]] - indices += [i] - - batched_embeddings = [] - _iter = range(0, len(tokens), max_chunks) - - for i in _iter: - embeddings_batch, embedding_used_tokens = self._embedding_invoke( - model=model, - client=client, - texts=tokens[i : i + max_chunks], - extra_model_kwargs=extra_model_kwargs, - ) - - used_tokens += embedding_used_tokens - batched_embeddings += embeddings_batch - - results: list[list[list[float]]] = [[] for _ in range(len(texts))] - num_tokens_in_batch: list[list[int]] = [[] for _ in range(len(texts))] - - for i in range(len(indices)): - results[indices[i]].append(batched_embeddings[i]) - num_tokens_in_batch[indices[i]].append(len(tokens[i])) - - for i in range(len(texts)): - _result = results[i] - if len(_result) == 0: - embeddings_batch, embedding_used_tokens = self._embedding_invoke( - model=model, - client=client, - texts=[texts[i]], - extra_model_kwargs=extra_model_kwargs, - ) - used_tokens += embedding_used_tokens - average = embeddings_batch[0] - else: - average = np.average(_result, axis=0, weights=num_tokens_in_batch[i]) - embedding = (average / np.linalg.norm(average)).tolist() - if np.isnan(embedding).any(): - raise ValueError("Normalized embedding is nan please try again") - embeddings[i] = embedding - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=used_tokens) - - return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - tokenizer = self._get_tokenizer() - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - if len(texts) == 0: - return 0 - - tokenizer = self._get_tokenizer() - - total_num_tokens = 0 - for text in texts: - # calculate the number of tokens in the encoded text - tokenized_text = tokenizer.encode(text) - total_num_tokens += len(tokenized_text) - - return total_num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - client = OpenAI(**credentials_kwargs) - - # call embedding model - self._embedding_invoke(model=model, client=client, texts=["ping"], extra_model_kwargs={}) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _embedding_invoke( - self, model: str, client: OpenAI, texts: Union[list[str], str], extra_model_kwargs: dict - ) -> tuple[list[list[float]], int]: - """ - Invoke embedding model - :param model: model name - :param client: model client - :param texts: texts to embed - :param extra_model_kwargs: extra model kwargs - :return: embeddings and used tokens - """ - response = client.embeddings.create(model=model, input=texts, **extra_model_kwargs) - - if "encoding_format" in extra_model_kwargs and extra_model_kwargs["encoding_format"] == "base64": - return ( - [ - list(np.frombuffer(base64.b64decode(embedding.embedding), dtype=np.float32)) - for embedding in response.data - ], - response.usage.total_tokens, - ) - - return [data.embedding for data in response.data], response.usage.total_tokens - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - input_price_info = self.get_price( - model=model, credentials=credentials, tokens=tokens, price_type=PriceType.INPUT - ) - - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/upstage/upstage.py b/api/core/model_runtime/model_providers/upstage/upstage.py deleted file mode 100644 index e45d4aae19eb6c..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/upstage.py +++ /dev/null @@ -1,27 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class UpstageProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials from defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="solar-1-mini-chat", credentials=credentials) - except CredentialsValidateFailedError as e: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise e - except Exception as e: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise e diff --git a/api/core/model_runtime/model_providers/upstage/upstage.yaml b/api/core/model_runtime/model_providers/upstage/upstage.yaml deleted file mode 100644 index 837667cfa9b41f..00000000000000 --- a/api/core/model_runtime/model_providers/upstage/upstage.yaml +++ /dev/null @@ -1,49 +0,0 @@ -provider: upstage -label: - en_US: Upstage -description: - en_US: Models provided by Upstage, such as Solar-1-mini-chat. - zh_Hans: Upstage 提供的模型，例如 Solar-1-mini-chat. -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#FFFFF" -help: - title: - en_US: Get your API Key from Upstage - zh_Hans: 从 Upstage 获取 API Key - url: - en_US: https://console.upstage.ai/api-keys -supported_model_types: - - llm - - text-embedding -configurate_methods: - - predefined-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: upstage_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key -provider_credential_schema: - credential_form_schemas: - - variable: upstage_api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/vertex_ai/__init__.py b/api/core/model_runtime/model_providers/vertex_ai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git 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b/api/core/model_runtime/model_providers/vertex_ai/_assets/icon_s_en.svg deleted file mode 100644 index efc3589c07f831..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/_assets/icon_s_en.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/vertex_ai/_common.py b/api/core/model_runtime/model_providers/vertex_ai/_common.py deleted file mode 100644 index 4e3df7574e9ce8..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/_common.py +++ /dev/null @@ -1,15 +0,0 @@ -from core.model_runtime.errors.invoke import InvokeError - - -class _CommonVertexAi: - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - raise NotImplementedError diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/__init__.py b/api/core/model_runtime/model_providers/vertex_ai/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-haiku.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-haiku.yaml deleted file mode 100644 index 5613348695dc20..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-haiku.yaml +++ /dev/null @@ -1,56 +0,0 @@ -model: claude-3-haiku@20240307 -label: - en_US: Claude 3 Haiku -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - required: true - type: int - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 - en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. - # docs: https://docs.anthropic.com/claude/docs/system-prompts - - name: temperature - use_template: temperature - required: false - type: float - default: 1 - min: 0.0 - max: 1.0 - help: - zh_Hans: 生成内容的随机性。 - en_US: The amount of randomness injected into the response. - - name: top_p - required: false - type: float - default: 0.999 - min: 0.000 - max: 1.000 - help: - zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 - en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. - - name: top_k - required: false - type: int - default: 0 - min: 0 - # tip docs from aws has error, max value is 500 - max: 500 - help: - zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 - en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. -pricing: - input: '0.00025' - output: '0.00125' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-opus.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-opus.yaml deleted file mode 100644 index ab084636b5dec7..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-opus.yaml +++ /dev/null @@ -1,56 +0,0 @@ -model: claude-3-opus@20240229 -label: - en_US: Claude 3 Opus -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - required: true - type: int - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 - en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. - # docs: https://docs.anthropic.com/claude/docs/system-prompts - - name: temperature - use_template: temperature - required: false - type: float - default: 1 - min: 0.0 - max: 1.0 - help: - zh_Hans: 生成内容的随机性。 - en_US: The amount of randomness injected into the response. - - name: top_p - required: false - type: float - default: 0.999 - min: 0.000 - max: 1.000 - help: - zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 - en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. - - name: top_k - required: false - type: int - default: 0 - min: 0 - # tip docs from aws has error, max value is 500 - max: 500 - help: - zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 - en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. -pricing: - input: '0.015' - output: '0.075' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-sonnet.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-sonnet.yaml deleted file mode 100644 index 0be0113ffd98cf..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3-sonnet.yaml +++ /dev/null @@ -1,55 +0,0 @@ -model: claude-3-sonnet@20240229 -label: - en_US: Claude 3 Sonnet -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - required: true - type: int - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 - en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. - - name: temperature - use_template: temperature - required: false - type: float - default: 1 - min: 0.0 - max: 1.0 - help: - zh_Hans: 生成内容的随机性。 - en_US: The amount of randomness injected into the response. - - name: top_p - required: false - type: float - default: 0.999 - min: 0.000 - max: 1.000 - help: - zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 - en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. - - name: top_k - required: false - type: int - default: 0 - min: 0 - # tip docs from aws has error, max value is 500 - max: 500 - help: - zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 - en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. -pricing: - input: '0.003' - output: '0.015' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml deleted file mode 100644 index 37b9f30cc3927a..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml +++ /dev/null @@ -1,55 +0,0 @@ -model: claude-3-5-sonnet-v2@20241022 -label: - en_US: Claude 3.5 Sonnet v2 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - required: true - type: int - default: 8192 - min: 1 - max: 8192 - help: - zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 - en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. - - name: temperature - use_template: temperature - required: false - type: float - default: 1 - min: 0.0 - max: 1.0 - help: - zh_Hans: 生成内容的随机性。 - en_US: The amount of randomness injected into the response. - - name: top_p - required: false - type: float - default: 0.999 - min: 0.000 - max: 1.000 - help: - zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 - en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. - - name: top_k - required: false - type: int - default: 0 - min: 0 - # tip docs from aws has error, max value is 500 - max: 500 - help: - zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 - en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. -pricing: - input: '0.003' - output: '0.015' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet.yaml deleted file mode 100644 index c64384e6a2f153..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/anthropic.claude-3.5-sonnet.yaml +++ /dev/null @@ -1,55 +0,0 @@ -model: claude-3-5-sonnet@20240620 -label: - en_US: Claude 3.5 Sonnet -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: max_tokens - use_template: max_tokens - required: true - type: int - default: 4096 - min: 1 - max: 4096 - help: - zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 - en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. - - name: temperature - use_template: temperature - required: false - type: float - default: 1 - min: 0.0 - max: 1.0 - help: - zh_Hans: 生成内容的随机性。 - en_US: The amount of randomness injected into the response. - - name: top_p - required: false - type: float - default: 0.999 - min: 0.000 - max: 1.000 - help: - zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 - en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. - - name: top_k - required: false - type: int - default: 0 - min: 0 - # tip docs from aws has error, max value is 500 - max: 500 - help: - zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 - en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. -pricing: - input: '0.003' - output: '0.015' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro-vision.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro-vision.yaml deleted file mode 100644 index ebb276b8af18f5..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro-vision.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: gemini-1.0-pro-vision-001 -label: - en_US: Gemini 1.0 Pro Vision -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 2048 - min: 1 - max: 2048 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro.yaml deleted file mode 100644 index c325973846f5f8..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.0-pro.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: gemini-1.0-pro-002 -label: - en_US: Gemini 1.0 Pro -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32760 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-001.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-001.yaml deleted file mode 100644 index f5386be06da6be..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-001.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: gemini-1.5-flash-001 -label: - en_US: Gemini 1.5 Flash 001 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-002.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-002.yaml deleted file mode 100644 index 97bd44f06b5145..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-flash-002.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: gemini-1.5-flash-002 -label: - en_US: Gemini 1.5 Flash 002 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-001.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-001.yaml deleted file mode 100644 index 5e08f2294e2ebf..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-001.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: gemini-1.5-pro-001 -label: - en_US: Gemini 1.5 Pro 001 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-002.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-002.yaml deleted file mode 100644 index 8f327ea2f3d37e..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-1.5-pro-002.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: gemini-1.5-pro-002 -label: - en_US: Gemini 1.5 Pro 002 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml deleted file mode 100644 index bcd59623a78e43..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: gemini-2.0-flash-exp -label: - en_US: Gemini 2.0 Flash Exp -model_type: llm -features: - - agent-thought - - vision - - tool-call - - stream-tool-call - - document -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - zh_Hans: 取样数量 - en_US: Top k - type: int - help: - zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: max_output_tokens - use_template: max_tokens - default: 8192 - min: 1 - max: 8192 - - name: json_schema - use_template: json_schema -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-flash-experimental.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-flash-experimental.yaml deleted file mode 100644 index 0f5eb34c0cdf03..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-flash-experimental.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: gemini-flash-experimental -label: - en_US: Gemini Flash Experimental -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-pro-experimental.yaml b/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-pro-experimental.yaml deleted file mode 100644 index fa31cabb85abb0..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/gemini-pro-experimental.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: gemini-pro-experimental -label: - en_US: Gemini Pro Experimental -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - - name: top_p - use_template: top_p - - name: top_k - label: - en_US: Top k - type: int - help: - en_US: Only sample from the top K options for each subsequent token. - required: false - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: max_output_tokens - use_template: max_tokens - required: true - default: 8192 - min: 1 - max: 8192 -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py deleted file mode 100644 index 85be34f3f0fe7f..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py +++ /dev/null @@ -1,752 +0,0 @@ -import base64 -import io -import json -import logging -import time -from collections.abc import Generator -from typing import TYPE_CHECKING, Optional, Union, cast - -import google.auth.transport.requests # type: ignore -import requests -from anthropic import AnthropicVertex, Stream -from anthropic.types import ( - ContentBlockDeltaEvent, - Message, - MessageDeltaEvent, - MessageStartEvent, - MessageStopEvent, - MessageStreamEvent, -) -from google.api_core import exceptions -from PIL import Image - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel - -if TYPE_CHECKING: - import vertexai.generative_models as glm - -logger = logging.getLogger(__name__) - - -class VertexAiLargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # invoke anthropic models via anthropic official SDK - if "claude" in model: - return self._generate_anthropic(model, credentials, prompt_messages, model_parameters, stop, stream, user) - # invoke Gemini model - return self._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def _generate_anthropic( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke Anthropic large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :return: full response or stream response chunk generator result - """ - from google.oauth2 import service_account - - # use Anthropic official SDK references - # - https://github.com/anthropics/anthropic-sdk-python - service_account_key = credentials.get("vertex_service_account_key", "") - project_id = credentials["vertex_project_id"] - SCOPES = ["https://www.googleapis.com/auth/cloud-platform"] - token = "" - - # get access token from service account credential - if service_account_key: - service_account_info = json.loads(base64.b64decode(service_account_key)) - credentials = service_account.Credentials.from_service_account_info(service_account_info, scopes=SCOPES) - request = google.auth.transport.requests.Request() - credentials.refresh(request) - token = credentials.token - - # Vertex AI Anthropic Claude3 Opus model available in us-east5 region, Sonnet and Haiku available - # in us-central1 region - if "opus" in model or "claude-3-5-sonnet" in model: - location = "us-east5" - else: - location = "us-central1" - - # use access token to authenticate - if token: - client = AnthropicVertex(region=location, project_id=project_id, access_token=token) - # When access token is empty, try to use the Google Cloud VM's built-in service account - # or the GOOGLE_APPLICATION_CREDENTIALS environment variable - else: - client = AnthropicVertex( - region=location, - project_id=project_id, - ) - - extra_model_kwargs = {} - if stop: - extra_model_kwargs["stop_sequences"] = stop - - system, prompt_message_dicts = self._convert_claude_prompt_messages(prompt_messages) - - if system: - extra_model_kwargs["system"] = system - - response = client.messages.create( - model=model, messages=prompt_message_dicts, stream=stream, **model_parameters, **extra_model_kwargs - ) - - if stream: - return self._handle_claude_stream_response(model, credentials, response, prompt_messages) - - return self._handle_claude_response(model, credentials, response, prompt_messages) - - def _handle_claude_response( - self, model: str, credentials: dict, response: Message, prompt_messages: list[PromptMessage] - ) -> LLMResult: - """ - Handle llm chat response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: full response chunk generator result - """ - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=response.content[0].text) - - # calculate num tokens - if response.usage: - # transform usage - prompt_tokens = response.usage.input_tokens - completion_tokens = response.usage.output_tokens - else: - # calculate num tokens - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - response = LLMResult( - model=response.model, prompt_messages=prompt_messages, message=assistant_prompt_message, usage=usage - ) - - return response - - def _handle_claude_stream_response( - self, - model: str, - credentials: dict, - response: Stream[MessageStreamEvent], - prompt_messages: list[PromptMessage], - ) -> Generator: - """ - Handle llm chat stream response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: full response or stream response chunk generator result - """ - - try: - full_assistant_content = "" - return_model = None - input_tokens = 0 - output_tokens = 0 - finish_reason = None - index = 0 - - for chunk in response: - if isinstance(chunk, MessageStartEvent): - return_model = chunk.message.model - input_tokens = chunk.message.usage.input_tokens - elif isinstance(chunk, MessageDeltaEvent): - output_tokens = chunk.usage.output_tokens - finish_reason = chunk.delta.stop_reason - elif isinstance(chunk, MessageStopEvent): - usage = self._calc_response_usage(model, credentials, input_tokens, output_tokens) - yield LLMResultChunk( - model=return_model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index + 1, - message=AssistantPromptMessage(content=""), - finish_reason=finish_reason, - usage=usage, - ), - ) - elif isinstance(chunk, ContentBlockDeltaEvent): - chunk_text = chunk.delta.text or "" - full_assistant_content += chunk_text - assistant_prompt_message = AssistantPromptMessage( - content=chunk_text or "", - ) - index = chunk.index - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index, - message=assistant_prompt_message, - ), - ) - except Exception as ex: - raise InvokeError(str(ex)) - - def _calc_claude_response_usage( - self, model: str, credentials: dict, prompt_tokens: int, completion_tokens: int - ) -> LLMUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param prompt_tokens: prompt tokens - :param completion_tokens: completion tokens - :return: usage - """ - # get prompt price info - prompt_price_info = self.get_price( - model=model, - credentials=credentials, - price_type=PriceType.INPUT, - tokens=prompt_tokens, - ) - - # get completion price info - completion_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.OUTPUT, tokens=completion_tokens - ) - - # transform usage - usage = LLMUsage( - prompt_tokens=prompt_tokens, - prompt_unit_price=prompt_price_info.unit_price, - prompt_price_unit=prompt_price_info.unit, - prompt_price=prompt_price_info.total_amount, - completion_tokens=completion_tokens, - completion_unit_price=completion_price_info.unit_price, - completion_price_unit=completion_price_info.unit, - completion_price=completion_price_info.total_amount, - total_tokens=prompt_tokens + completion_tokens, - total_price=prompt_price_info.total_amount + completion_price_info.total_amount, - currency=prompt_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - def _convert_claude_prompt_messages(self, prompt_messages: list[PromptMessage]) -> tuple[str, list[dict]]: - """ - Convert prompt messages to dict list and system - """ - - system = "" - first_loop = True - for message in prompt_messages: - if isinstance(message, SystemPromptMessage): - message.content = message.content.strip() - if first_loop: - system = message.content - first_loop = False - else: - system += "\n" - system += message.content - - prompt_message_dicts = [] - for message in prompt_messages: - if not isinstance(message, SystemPromptMessage): - prompt_message_dicts.append(self._convert_claude_prompt_message_to_dict(message)) - - return system, prompt_message_dicts - - def _convert_claude_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(TextPromptMessageContent, message_content) - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - if not message_content.data.startswith("data:"): - # fetch image data from url - try: - image_content = requests.get(message_content.data).content - with Image.open(io.BytesIO(image_content)) as img: - mime_type = f"image/{img.format.lower()}" - base64_data = base64.b64encode(image_content).decode("utf-8") - except Exception as ex: - raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}") - else: - data_split = message_content.data.split(";base64,") - mime_type = data_split[0].replace("data:", "") - base64_data = data_split[1] - - if mime_type not in {"image/jpeg", "image/png", "image/gif", "image/webp"}: - raise ValueError( - f"Unsupported image type {mime_type}, " - f"only support image/jpeg, image/png, image/gif, and image/webp" - ) - - sub_message_dict = { - "type": "image", - "source": {"type": "base64", "media_type": mime_type, "data": base64_data}, - } - sub_messages.append(sub_message_dict) - - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - else: - raise ValueError(f"Got unknown type {message}") - - return message_dict - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return:md = gml.GenerativeModel(model) - """ - prompt = self._convert_messages_to_prompt(prompt_messages) - - return self._get_num_tokens_by_gpt2(prompt) - - def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str: - """ - Format a list of messages into a full prompt for the Google model - - :param messages: List of PromptMessage to combine. - :return: Combined string with necessary human_prompt and ai_prompt tags. - """ - messages = messages.copy() # don't mutate the original list - - text = "".join(self._convert_one_message_to_text(message) for message in messages) - - return text.rstrip() - - def _convert_tools_to_glm_tool(self, tools: list[PromptMessageTool]) -> "glm.Tool": - """ - Convert tool messages to glm tools - - :param tools: tool messages - :return: glm tools - """ - import vertexai.generative_models as glm - - return glm.Tool( - function_declarations=[ - glm.FunctionDeclaration( - name=tool.name, - parameters=glm.Schema( - type=glm.Type.OBJECT, - properties={ - key: { - "type_": value.get("type", "string").upper(), - "description": value.get("description", ""), - "enum": value.get("enum", []), - } - for key, value in tool.parameters.get("properties", {}).items() - }, - required=tool.parameters.get("required", []), - ), - ) - for tool in tools - ] - ) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - - try: - ping_message = SystemPromptMessage(content="ping") - self._generate(model, credentials, [ping_message], {"max_tokens_to_sample": 5}) - - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: credentials kwargs - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - import vertexai.generative_models as glm - from google.cloud import aiplatform - from google.oauth2 import service_account - - config_kwargs = model_parameters.copy() - config_kwargs["max_output_tokens"] = config_kwargs.pop("max_tokens_to_sample", None) - - if stop: - config_kwargs["stop_sequences"] = stop - - service_account_key = credentials.get("vertex_service_account_key", "") - project_id = credentials["vertex_project_id"] - location = credentials["vertex_location"] - if service_account_key: - service_account_info = json.loads(base64.b64decode(service_account_key)) - service_accountSA = service_account.Credentials.from_service_account_info(service_account_info) - aiplatform.init(credentials=service_accountSA, project=project_id, location=location) - else: - aiplatform.init(project=project_id, location=location) - - history = [] - system_instruction = "" - # hack for gemini-pro-vision, which currently does not support multi-turn chat - if model == "gemini-1.0-pro-vision-001": - last_msg = prompt_messages[-1] - content = self._format_message_to_glm_content(last_msg) - history.append(content) - else: - for msg in prompt_messages: - if isinstance(msg, SystemPromptMessage): - system_instruction = msg.content - else: - content = self._format_message_to_glm_content(msg) - if history and history[-1].role == content.role: - history[-1].parts.extend(content.parts) - else: - history.append(content) - - google_model = glm.GenerativeModel(model_name=model, system_instruction=system_instruction) - - response = google_model.generate_content( - contents=history, - generation_config=glm.GenerationConfig(**config_kwargs), - stream=stream, - tools=self._convert_tools_to_glm_tool(tools) if tools else None, - ) - - if stream: - return self._handle_generate_stream_response(model, credentials, response, prompt_messages) - - return self._handle_generate_response(model, credentials, response, prompt_messages) - - def _handle_generate_response( - self, model: str, credentials: dict, response: "glm.GenerationResponse", prompt_messages: list[PromptMessage] - ) -> LLMResult: - """ - Handle llm response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm response - """ - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=response.candidates[0].content.parts[0].text) - - # calculate num tokens - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - # transform response - result = LLMResult( - model=model, - prompt_messages=prompt_messages, - message=assistant_prompt_message, - usage=usage, - ) - - return result - - def _handle_generate_stream_response( - self, model: str, credentials: dict, response: "glm.GenerationResponse", prompt_messages: list[PromptMessage] - ) -> Generator: - """ - Handle llm stream response - - :param model: model name - :param credentials: credentials - :param response: response - :param prompt_messages: prompt messages - :return: llm response chunk generator result - """ - index = -1 - for chunk in response: - for part in chunk.candidates[0].content.parts: - assistant_prompt_message = AssistantPromptMessage(content="") - - if part.text: - assistant_prompt_message.content += part.text - - if part.function_call: - assistant_prompt_message.tool_calls = [ - AssistantPromptMessage.ToolCall( - id=part.function_call.name, - type="function", - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=part.function_call.name, - arguments=json.dumps(dict(part.function_call.args.items())), - ), - ) - ] - - index += 1 - - if not hasattr(chunk, "finish_reason") or not chunk.finish_reason: - # transform assistant message to prompt message - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta(index=index, message=assistant_prompt_message), - ) - else: - # calculate num tokens - prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages) - completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message]) - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index, - message=assistant_prompt_message, - finish_reason=chunk.candidates[0].finish_reason, - usage=usage, - ), - ) - - def _convert_one_message_to_text(self, message: PromptMessage) -> str: - """ - Convert a single message to a string. - - :param message: PromptMessage to convert. - :return: String representation of the message. - """ - human_prompt = "\n\nuser:" - ai_prompt = "\n\nmodel:" - - content = message.content - if isinstance(content, list): - content = "".join(c.data for c in content if c.type != PromptMessageContentType.IMAGE) - - if isinstance(message, UserPromptMessage): - message_text = f"{human_prompt} {content}" - elif isinstance(message, AssistantPromptMessage): - message_text = f"{ai_prompt} {content}" - elif isinstance(message, SystemPromptMessage | ToolPromptMessage): - message_text = f"{human_prompt} {content}" - else: - raise ValueError(f"Got unknown type {message}") - - return message_text - - def _format_message_to_glm_content(self, message: PromptMessage) -> "glm.Content": - """ - Format a single message into glm.Content for Google API - - :param message: one PromptMessage - :return: glm Content representation of message - """ - import vertexai.generative_models as glm - - if isinstance(message, UserPromptMessage): - glm_content = glm.Content(role="user", parts=[]) - - if isinstance(message.content, str): - glm_content = glm.Content(role="user", parts=[glm.Part.from_text(message.content)]) - else: - parts = [] - for c in message.content: - if c.type == PromptMessageContentType.TEXT: - parts.append(glm.Part.from_text(c.data)) - else: - message_content = cast(ImagePromptMessageContent, c) - if not message_content.data.startswith("data:"): - url_arr = message_content.data.split(".") - mime_type = f"image/{url_arr[-1]}" - parts.append(glm.Part.from_uri(mime_type=mime_type, uri=message_content.data)) - else: - metadata, data = c.data.split(",", 1) - mime_type = metadata.split(";", 1)[0].split(":")[1] - parts.append(glm.Part.from_data(mime_type=mime_type, data=data)) - glm_content = glm.Content(role="user", parts=parts) - return glm_content - elif isinstance(message, AssistantPromptMessage): - if message.content: - glm_content = glm.Content(role="model", parts=[glm.Part.from_text(message.content)]) - if message.tool_calls: - glm_content = glm.Content( - role="model", - parts=[ - glm.Part.from_function_response( - glm.FunctionCall( - name=message.tool_calls[0].function.name, - args=json.loads(message.tool_calls[0].function.arguments), - ) - ) - ], - ) - return glm_content - elif isinstance(message, ToolPromptMessage): - glm_content = glm.Content( - role="function", - parts=[ - glm.Part( - function_response=glm.FunctionResponse( - name=message.name, response={"response": message.content} - ) - ) - ], - ) - return glm_content - else: - raise ValueError(f"Got unknown type {message}") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the ermd = gml.GenerativeModel(model) error type thrown to the caller - The value is the md = gml.GenerativeModel(model) error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke emd = gml.GenerativeModel(model) error mapping - """ - return { - InvokeConnectionError: [exceptions.RetryError], - InvokeServerUnavailableError: [ - exceptions.ServiceUnavailable, - exceptions.InternalServerError, - exceptions.BadGateway, - exceptions.GatewayTimeout, - exceptions.DeadlineExceeded, - ], - InvokeRateLimitError: [exceptions.ResourceExhausted, exceptions.TooManyRequests], - InvokeAuthorizationError: [ - exceptions.Unauthenticated, - exceptions.PermissionDenied, - exceptions.Unauthenticated, - exceptions.Forbidden, - ], - InvokeBadRequestError: [ - exceptions.BadRequest, - exceptions.InvalidArgument, - exceptions.FailedPrecondition, - exceptions.OutOfRange, - exceptions.NotFound, - exceptions.MethodNotAllowed, - exceptions.Conflict, - exceptions.AlreadyExists, - exceptions.Aborted, - exceptions.LengthRequired, - exceptions.PreconditionFailed, - exceptions.RequestRangeNotSatisfiable, - exceptions.Cancelled, - ], - } diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-embedding-004.yaml b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-embedding-004.yaml deleted file mode 100644 index 32db6faf89940f..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-embedding-004.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: text-embedding-004 -model_type: text-embedding -model_properties: - context_size: 2048 -pricing: - input: '0.00013' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-multilingual-embedding-002.yaml b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-multilingual-embedding-002.yaml deleted file mode 100644 index 2ec0eea9f21b78..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text-multilingual-embedding-002.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: text-multilingual-embedding-002 -model_type: text-embedding -model_properties: - context_size: 2048 -pricing: - input: '0.00013' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py deleted file mode 100644 index b8b0e5f15acb44..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py +++ /dev/null @@ -1,199 +0,0 @@ -import base64 -import json -import time -from decimal import Decimal -from typing import TYPE_CHECKING, Optional - -import tiktoken - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - PriceConfig, - PriceType, -) -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.vertex_ai._common import _CommonVertexAi - -if TYPE_CHECKING: - from vertexai.language_models import TextEmbeddingModel as VertexTextEmbeddingModel -else: - VertexTextEmbeddingModel = None - - -class VertexAiTextEmbeddingModel(_CommonVertexAi, TextEmbeddingModel): - """ - Model class for Vertex AI text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - from google.cloud import aiplatform - from google.oauth2 import service_account - from vertexai.language_models import TextEmbeddingModel as VertexTextEmbeddingModel - - service_account_key = credentials.get("vertex_service_account_key", "") - project_id = credentials["vertex_project_id"] - location = credentials["vertex_location"] - if service_account_key: - service_account_info = json.loads(base64.b64decode(service_account_key)) - service_accountSA = service_account.Credentials.from_service_account_info(service_account_info) - aiplatform.init(credentials=service_accountSA, project=project_id, location=location) - else: - aiplatform.init(project=project_id, location=location) - - client = VertexTextEmbeddingModel.from_pretrained(model) - - embeddings_batch, embedding_used_tokens = self._embedding_invoke(client=client, texts=texts) - - # calc usage - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=embedding_used_tokens) - - return TextEmbeddingResult(embeddings=embeddings_batch, usage=usage, model=model) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - if len(texts) == 0: - return 0 - - try: - enc = tiktoken.encoding_for_model(model) - except KeyError: - enc = tiktoken.get_encoding("cl100k_base") - - total_num_tokens = 0 - for text in texts: - # calculate the number of tokens in the encoded text - tokenized_text = enc.encode(text) - total_num_tokens += len(tokenized_text) - - return total_num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - from google.cloud import aiplatform - from google.oauth2 import service_account - from vertexai.language_models import TextEmbeddingModel as VertexTextEmbeddingModel - - try: - service_account_key = credentials.get("vertex_service_account_key", "") - project_id = credentials["vertex_project_id"] - location = credentials["vertex_location"] - if service_account_key: - service_account_info = json.loads(base64.b64decode(service_account_key)) - service_accountSA = service_account.Credentials.from_service_account_info(service_account_info) - aiplatform.init(credentials=service_accountSA, project=project_id, location=location) - else: - aiplatform.init(project=project_id, location=location) - - client = VertexTextEmbeddingModel.from_pretrained(model) - - # call embedding model - self._embedding_invoke(model=model, client=client, texts=["ping"]) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _embedding_invoke(self, client: VertexTextEmbeddingModel, texts: list[str]) -> [list[float], int]: # type: ignore - """ - Invoke embedding model - - :param model: model name - :param client: model client - :param texts: texts to embed - :return: embeddings and used tokens - """ - response = client.get_embeddings(texts) - - embeddings = [] - token_usage = 0 - - for i in range(len(response)): - embeddings.append(response[i].values) - token_usage += int(response[i].statistics.token_count) - - return embeddings, token_usage - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512)), - ModelPropertyKey.MAX_CHUNKS: 1, - }, - parameter_rules=[], - pricing=PriceConfig( - input=Decimal(credentials.get("input_price", 0)), - unit=Decimal(credentials.get("unit", 0)), - currency=credentials.get("currency", "USD"), - ), - ) - - return entity diff --git a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.py b/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.py deleted file mode 100644 index 466a86fd36a181..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class VertexAiProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `gemini-1.0-pro-002` model for validate, - model_instance.validate_credentials(model="gemini-1.0-pro-002", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.yaml b/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.yaml deleted file mode 100644 index 27a4d03fe2975b..00000000000000 --- a/api/core/model_runtime/model_providers/vertex_ai/vertex_ai.yaml +++ /dev/null @@ -1,43 +0,0 @@ -provider: vertex_ai -label: - en_US: Vertex AI | Google Cloud Platform -description: - en_US: Vertex AI in Google Cloud Platform. -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.png -background: "#FCFDFF" -help: - title: - en_US: Get your Access Details from Google - url: - en_US: https://cloud.google.com/vertex-ai/ -supported_model_types: - - llm - - text-embedding -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: vertex_project_id - label: - en_US: Project ID - type: text-input - required: true - placeholder: - en_US: Enter your Google Cloud Project ID - - variable: vertex_location - label: - en_US: Location - type: text-input - required: true - placeholder: - en_US: Enter your Google Cloud Location - - variable: vertex_service_account_key - label: - en_US: Service Account Key (Leave blank if you use Application Default Credentials) - type: secret-input - required: false - placeholder: - en_US: Enter your Google Cloud Service Account Key in base64 format diff --git a/api/core/model_runtime/model_providers/vessl_ai/__init__.py b/api/core/model_runtime/model_providers/vessl_ai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git 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a/api/core/model_runtime/model_providers/vessl_ai/_assets/icon_s_en.svg +++ /dev/null @@ -1,3 +0,0 @@ - - - diff --git a/api/core/model_runtime/model_providers/vessl_ai/llm/__init__.py b/api/core/model_runtime/model_providers/vessl_ai/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/vessl_ai/llm/llm.py b/api/core/model_runtime/model_providers/vessl_ai/llm/llm.py deleted file mode 100644 index 782e4fd6232a3b..00000000000000 --- a/api/core/model_runtime/model_providers/vessl_ai/llm/llm.py +++ /dev/null @@ -1,81 +0,0 @@ -from decimal import Decimal - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - DefaultParameterName, - FetchFrom, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, - PriceConfig, -) -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class VesslAILargeLanguageModel(OAIAPICompatLargeLanguageModel): - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.LLM, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - features=[], - model_properties={ - ModelPropertyKey.MODE: credentials.get("mode"), - }, - parameter_rules=[ - ParameterRule( - name=DefaultParameterName.TEMPERATURE.value, - label=I18nObject(en_US="Temperature"), - type=ParameterType.FLOAT, - default=float(credentials.get("temperature", 0.7)), - min=0, - max=2, - precision=2, - ), - ParameterRule( - name=DefaultParameterName.TOP_P.value, - label=I18nObject(en_US="Top P"), - type=ParameterType.FLOAT, - default=float(credentials.get("top_p", 1)), - min=0, - max=1, - precision=2, - ), - ParameterRule( - name=DefaultParameterName.TOP_K.value, - label=I18nObject(en_US="Top K"), - type=ParameterType.INT, - default=int(credentials.get("top_k", 50)), - min=-2147483647, - max=2147483647, - precision=0, - ), - ParameterRule( - name=DefaultParameterName.MAX_TOKENS.value, - label=I18nObject(en_US="Max Tokens"), - type=ParameterType.INT, - default=512, - min=1, - max=int(credentials.get("max_tokens_to_sample", 4096)), - ), - ], - pricing=PriceConfig( - input=Decimal(credentials.get("input_price", 0)), - output=Decimal(credentials.get("output_price", 0)), - unit=Decimal(credentials.get("unit", 0)), - currency=credentials.get("currency", "USD"), - ), - ) - - if credentials["mode"] == "chat": - entity.model_properties[ModelPropertyKey.MODE] = LLMMode.CHAT.value - elif credentials["mode"] == "completion": - entity.model_properties[ModelPropertyKey.MODE] = LLMMode.COMPLETION.value - else: - raise ValueError(f"Unknown completion type {credentials['completion_type']}") - - return entity diff --git a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.py b/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.py deleted file mode 100644 index 7a987c67107994..00000000000000 --- a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class VesslAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.yaml b/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.yaml deleted file mode 100644 index 2138b281b98107..00000000000000 --- a/api/core/model_runtime/model_providers/vessl_ai/vessl_ai.yaml +++ /dev/null @@ -1,56 +0,0 @@ -provider: vessl_ai -label: - en_US: VESSL AI -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.png -background: "#F1EFED" -help: - title: - en_US: How to deploy VESSL AI LLM Model Endpoint - url: - en_US: https://docs.vessl.ai/guides/get-started/llama3-deployment -supported_model_types: - - llm -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - placeholder: - en_US: Enter model name - credential_form_schemas: - - variable: endpoint_url - label: - en_US: Endpoint Url - type: text-input - required: true - placeholder: - en_US: Enter VESSL AI service endpoint url - - variable: api_key - required: true - label: - en_US: API Key - type: secret-input - placeholder: - en_US: Enter VESSL AI secret key - - variable: mode - show_on: - - variable: __model_type - value: llm - label: - en_US: Completion Mode - type: select - required: false - default: chat - placeholder: - en_US: Select completion mode - options: - - value: completion - label: - en_US: Completion - - value: chat - label: - en_US: Chat diff --git a/api/core/model_runtime/model_providers/volcengine_maas/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_en.svg deleted file mode 100644 index 616e90916b2810..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_en.svg +++ /dev/null @@ -1,23 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_zh.svg b/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_zh.svg deleted file mode 100644 index 24b92195bd5522..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_l_zh.svg +++ /dev/null @@ -1,39 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_s_en.svg deleted file mode 100644 index e6454a89b7ccdf..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/_assets/icon_s_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/volcengine_maas/client.py b/api/core/model_runtime/model_providers/volcengine_maas/client.py deleted file mode 100644 index a8a015167e3227..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/client.py +++ /dev/null @@ -1,214 +0,0 @@ -from collections.abc import Generator -from typing import Optional, cast - -from volcenginesdkarkruntime import Ark # type: ignore -from volcenginesdkarkruntime.types.chat import ( # type: ignore - ChatCompletion, - ChatCompletionAssistantMessageParam, - ChatCompletionChunk, - ChatCompletionContentPartImageParam, - ChatCompletionContentPartTextParam, - ChatCompletionMessageParam, - ChatCompletionMessageToolCallParam, - ChatCompletionSystemMessageParam, - ChatCompletionToolMessageParam, - ChatCompletionToolParam, - ChatCompletionUserMessageParam, -) -from volcenginesdkarkruntime.types.chat.chat_completion_content_part_image_param import ImageURL # type: ignore -from volcenginesdkarkruntime.types.chat.chat_completion_message_tool_call_param import Function # type: ignore -from volcenginesdkarkruntime.types.create_embedding_response import CreateEmbeddingResponse # type: ignore -from volcenginesdkarkruntime.types.shared_params import FunctionDefinition # type: ignore - -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) - -DEFAULT_V2_ENDPOINT = "maas-api.ml-platform-cn-beijing.volces.com" -DEFAULT_V3_ENDPOINT = "https://ark.cn-beijing.volces.com/api/v3" - - -class ArkClientV3: - endpoint_id: Optional[str] = None - ark: Optional[Ark] = None - - def __init__(self, *args, **kwargs): - self.ark = Ark(*args, **kwargs) - self.endpoint_id = None - - @staticmethod - def is_legacy(credentials: dict) -> bool: - # match default v2 endpoint - if ArkClientV3.is_compatible_with_legacy(credentials): - return False - # match default v3 endpoint - if credentials.get("api_endpoint_host") == DEFAULT_V3_ENDPOINT: - return False - # only v3 support api_key - if credentials.get("auth_method") == "api_key": - return False - # these cases are considered as sdk v2 - # - modified default v2 endpoint - # - modified default v3 endpoint and auth without api_key - return True - - @staticmethod - def is_compatible_with_legacy(credentials: dict) -> bool: - endpoint = credentials.get("api_endpoint_host") - return endpoint == DEFAULT_V2_ENDPOINT - - @classmethod - def from_credentials(cls, credentials): - """Initialize the client using the credentials provided.""" - args = { - "base_url": credentials["api_endpoint_host"], - "region": credentials["volc_region"], - } - if credentials.get("auth_method") == "api_key": - args = { - **args, - "api_key": credentials["volc_api_key"], - } - else: - args = { - **args, - "ak": credentials["volc_access_key_id"], - "sk": credentials["volc_secret_access_key"], - } - - if cls.is_compatible_with_legacy(credentials): - args = {**args, "base_url": DEFAULT_V3_ENDPOINT} - - client = ArkClientV3(**args) - client.endpoint_id = credentials["endpoint_id"] - return client - - @staticmethod - def convert_prompt_message(message: PromptMessage) -> ChatCompletionMessageParam: - """Converts a PromptMessage to a ChatCompletionMessageParam""" - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - content = message.content - else: - content = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - content.append( - ChatCompletionContentPartTextParam( - text=message_content.data, - type="text", - ) - ) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - content.append( - ChatCompletionContentPartImageParam( - image_url=ImageURL( - url=message_content.data, - detail=message_content.detail.value, - ), - type="image_url", - ) - ) - message_dict = ChatCompletionUserMessageParam(role="user", content=content) - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = ChatCompletionAssistantMessageParam( - content=message.content, - role="assistant", - tool_calls=None - if not message.tool_calls - else [ - ChatCompletionMessageToolCallParam( - id=call.id, - function=Function(name=call.function.name, arguments=call.function.arguments), - type="function", - ) - for call in message.tool_calls - ], - ) - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = ChatCompletionSystemMessageParam(content=message.content, role="system") - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - message_dict = ChatCompletionToolMessageParam( - content=message.content, role="tool", tool_call_id=message.tool_call_id - ) - else: - raise ValueError(f"Got unknown PromptMessage type {message}") - - return message_dict - - @staticmethod - def _convert_tool_prompt(message: PromptMessageTool) -> ChatCompletionToolParam: - return ChatCompletionToolParam( - type="function", - function=FunctionDefinition( - name=message.name, - description=message.description, - parameters=message.parameters, - ), - ) - - def chat( - self, - messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - frequency_penalty: Optional[float] = None, - max_tokens: Optional[int] = None, - presence_penalty: Optional[float] = None, - top_p: Optional[float] = None, - temperature: Optional[float] = None, - ) -> ChatCompletion: - """Block chat""" - return self.ark.chat.completions.create( - model=self.endpoint_id, - messages=[self.convert_prompt_message(message) for message in messages], - tools=[self._convert_tool_prompt(tool) for tool in tools] if tools else None, - stop=stop, - frequency_penalty=frequency_penalty, - max_tokens=max_tokens, - presence_penalty=presence_penalty, - top_p=top_p, - temperature=temperature, - ) - - def stream_chat( - self, - messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - frequency_penalty: Optional[float] = None, - max_tokens: Optional[int] = None, - presence_penalty: Optional[float] = None, - top_p: Optional[float] = None, - temperature: Optional[float] = None, - ) -> Generator[ChatCompletionChunk]: - """Stream chat""" - chunks = self.ark.chat.completions.create( - stream=True, - model=self.endpoint_id, - messages=[self.convert_prompt_message(message) for message in messages], - tools=[self._convert_tool_prompt(tool) for tool in tools] if tools else None, - stop=stop, - frequency_penalty=frequency_penalty, - max_tokens=max_tokens, - presence_penalty=presence_penalty, - top_p=top_p, - temperature=temperature, - stream_options={"include_usage": True}, - ) - yield from chunks - - def embeddings(self, texts: list[str]) -> CreateEmbeddingResponse: - return self.ark.embeddings.create(model=self.endpoint_id, input=texts) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py deleted file mode 100644 index 0c61e19f066254..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/client.py +++ /dev/null @@ -1,128 +0,0 @@ -import re -from collections.abc import Callable, Generator -from typing import cast - -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.model_providers.volcengine_maas.legacy.errors import wrap_error -from core.model_runtime.model_providers.volcengine_maas.legacy.volc_sdk import ChatRole, MaasError, MaasService - - -class MaaSClient(MaasService): - def __init__(self, host: str, region: str): - self.endpoint_id = None - super().__init__(host, region) - - def set_endpoint_id(self, endpoint_id: str): - self.endpoint_id = endpoint_id - - @classmethod - def from_credential(cls, credentials: dict) -> "MaaSClient": - host = credentials["api_endpoint_host"] - region = credentials["volc_region"] - ak = credentials["volc_access_key_id"] - sk = credentials["volc_secret_access_key"] - endpoint_id = credentials["endpoint_id"] - - client = cls(host, region) - client.set_endpoint_id(endpoint_id) - client.set_ak(ak) - client.set_sk(sk) - return client - - def chat(self, params: dict, messages: list[PromptMessage], stream=False, **extra_model_kwargs) -> Generator | dict: - req = { - "parameters": params, - "messages": [self.convert_prompt_message_to_maas_message(prompt) for prompt in messages], - **extra_model_kwargs, - } - if not stream: - return super().chat( - self.endpoint_id, - req, - ) - return super().stream_chat( - self.endpoint_id, - req, - ) - - def embeddings(self, texts: list[str]) -> dict: - req = {"input": texts} - return super().embeddings(self.endpoint_id, req) - - @staticmethod - def convert_prompt_message_to_maas_message(message: PromptMessage) -> dict: - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": ChatRole.USER, "content": message.content} - else: - content = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - content.append( - { - "type": "text", - "text": message_content.data, - } - ) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - image_data = re.sub(r"^data:image\/[a-zA-Z]+;base64,", "", message_content.data) - content.append( - { - "type": "image_url", - "image_url": { - "url": "", - "image_bytes": image_data, - "detail": message_content.detail, - }, - } - ) - - message_dict = {"role": ChatRole.USER, "content": content} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": ChatRole.ASSISTANT, "content": message.content} - if message.tool_calls: - message_dict["tool_calls"] = [ - {"name": call.function.name, "arguments": call.function.arguments} for call in message.tool_calls - ] - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": ChatRole.SYSTEM, "content": message.content} - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - message_dict = {"role": ChatRole.FUNCTION, "content": message.content, "name": message.tool_call_id} - else: - raise ValueError(f"Got unknown PromptMessage type {message}") - - return message_dict - - @staticmethod - def wrap_exception(fn: Callable[[], dict | Generator]) -> dict | Generator: - try: - resp = fn() - except MaasError as e: - raise wrap_error(e) - - return resp - - @staticmethod - def transform_tool_prompt_to_maas_config(tool: PromptMessageTool): - return { - "type": "function", - "function": { - "name": tool.name, - "description": tool.description, - "parameters": tool.parameters, - }, - } diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py deleted file mode 100644 index aa837b8318873d..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/errors.py +++ /dev/null @@ -1,157 +0,0 @@ -from core.model_runtime.model_providers.volcengine_maas.legacy.volc_sdk import MaasError - - -class ClientSDKRequestError(MaasError): - pass - - -class SignatureDoesNotMatchError(MaasError): - pass - - -class RequestTimeoutError(MaasError): - pass - - -class ServiceConnectionTimeoutError(MaasError): - pass - - -class MissingAuthenticationHeaderError(MaasError): - pass - - -class AuthenticationHeaderIsInvalidError(MaasError): - pass - - -class InternalServiceError(MaasError): - pass - - -class MissingParameterError(MaasError): - pass - - -class InvalidParameterError(MaasError): - pass - - -class AuthenticationExpireError(MaasError): - pass - - -class EndpointIsInvalidError(MaasError): - pass - - -class EndpointIsNotEnableError(MaasError): - pass - - -class ModelNotSupportStreamModeError(MaasError): - pass - - -class ReqTextExistRiskError(MaasError): - pass - - -class RespTextExistRiskError(MaasError): - pass - - -class EndpointRateLimitExceededError(MaasError): - pass - - -class ServiceConnectionRefusedError(MaasError): - pass - - -class ServiceConnectionClosedError(MaasError): - pass - - -class UnauthorizedUserForEndpointError(MaasError): - pass - - -class InvalidEndpointWithNoURLError(MaasError): - pass - - -class EndpointAccountRpmRateLimitExceededError(MaasError): - pass - - -class EndpointAccountTpmRateLimitExceededError(MaasError): - pass - - -class ServiceResourceWaitQueueFullError(MaasError): - pass - - -class EndpointIsPendingError(MaasError): - pass - - -class ServiceNotOpenError(MaasError): - pass - - -AuthErrors = { - "SignatureDoesNotMatch": SignatureDoesNotMatchError, - "MissingAuthenticationHeader": MissingAuthenticationHeaderError, - "AuthenticationHeaderIsInvalid": AuthenticationHeaderIsInvalidError, - "AuthenticationExpire": AuthenticationExpireError, - "UnauthorizedUserForEndpoint": UnauthorizedUserForEndpointError, -} - -BadRequestErrors = { - "MissingParameter": MissingParameterError, - "InvalidParameter": InvalidParameterError, - "EndpointIsInvalid": EndpointIsInvalidError, - "EndpointIsNotEnable": EndpointIsNotEnableError, - "ModelNotSupportStreamMode": ModelNotSupportStreamModeError, - "ReqTextExistRisk": ReqTextExistRiskError, - "RespTextExistRisk": RespTextExistRiskError, - "InvalidEndpointWithNoURL": InvalidEndpointWithNoURLError, - "ServiceNotOpen": ServiceNotOpenError, -} - -RateLimitErrors = { - "EndpointRateLimitExceeded": EndpointRateLimitExceededError, - "EndpointAccountRpmRateLimitExceeded": EndpointAccountRpmRateLimitExceededError, - "EndpointAccountTpmRateLimitExceeded": EndpointAccountTpmRateLimitExceededError, -} - -ServerUnavailableErrors = { - "InternalServiceError": InternalServiceError, - "EndpointIsPending": EndpointIsPendingError, - "ServiceResourceWaitQueueFull": ServiceResourceWaitQueueFullError, -} - -ConnectionErrors = { - "ClientSDKRequestError": ClientSDKRequestError, - "RequestTimeout": RequestTimeoutError, - "ServiceConnectionTimeout": ServiceConnectionTimeoutError, - "ServiceConnectionRefused": ServiceConnectionRefusedError, - "ServiceConnectionClosed": ServiceConnectionClosedError, -} - -ErrorCodeMap = { - **AuthErrors, - **BadRequestErrors, - **RateLimitErrors, - **ServerUnavailableErrors, - **ConnectionErrors, -} - - -def wrap_error(e: MaasError) -> Exception: - if ErrorCodeMap.get(e.code): - # FIXME: mypy type error, try to fix it instead of using type: ignore - return ErrorCodeMap.get(e.code)(e.code_n, e.code, e.message, e.req_id) # type: ignore - return e diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py deleted file mode 100644 index 2a269557f28828..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -from .common import ChatRole -from .maas import MaasError, MaasService - -__all__ = ["ChatRole", "MaasError", "MaasService"] diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py deleted file mode 100644 index c22bf8e76de36a..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/auth.py +++ /dev/null @@ -1,159 +0,0 @@ -# coding : utf-8 -import datetime -from itertools import starmap - -import pytz - -from .util import Util - - -class MetaData: - def __init__(self): - self.algorithm = "" - self.credential_scope = "" - self.signed_headers = "" - self.date = "" - self.region = "" - self.service = "" - - def set_date(self, date): - self.date = date - - def set_service(self, service): - self.service = service - - def set_region(self, region): - self.region = region - - def set_algorithm(self, algorithm): - self.algorithm = algorithm - - def set_credential_scope(self, credential_scope): - self.credential_scope = credential_scope - - def set_signed_headers(self, signed_headers): - self.signed_headers = signed_headers - - -class SignResult: - def __init__(self): - self.xdate = "" - self.xCredential = "" - self.xAlgorithm = "" - self.xSignedHeaders = "" - self.xSignedQueries = "" - self.xSignature = "" - self.xContextSha256 = "" - self.xSecurityToken = "" - - self.authorization = "" - - def __str__(self): - return "\n".join(list(starmap("{}:{}".format, self.__dict__.items()))) - - -class Credentials: - def __init__(self, ak, sk, service, region, session_token=""): - self.ak = ak - self.sk = sk - self.service = service - self.region = region - self.session_token = session_token - - def set_ak(self, ak): - self.ak = ak - - def set_sk(self, sk): - self.sk = sk - - def set_session_token(self, session_token): - self.session_token = session_token - - -class Signer: - @staticmethod - def sign(request, credentials): - if request.path == "": - request.path = "/" - if request.method != "GET" and "Content-Type" not in request.headers: - request.headers["Content-Type"] = "application/x-www-form-urlencoded; charset=utf-8" - - format_date = Signer.get_current_format_date() - request.headers["X-Date"] = format_date - if credentials.session_token != "": - request.headers["X-Security-Token"] = credentials.session_token - - md = MetaData() - md.set_algorithm("HMAC-SHA256") - md.set_service(credentials.service) - md.set_region(credentials.region) - md.set_date(format_date[:8]) - - hashed_canon_req = Signer.hashed_canonical_request_v4(request, md) - md.set_credential_scope("/".join([md.date, md.region, md.service, "request"])) - - signing_str = "\n".join([md.algorithm, format_date, md.credential_scope, hashed_canon_req]) - signing_key = Signer.get_signing_secret_key_v4(credentials.sk, md.date, md.region, md.service) - sign = Util.to_hex(Util.hmac_sha256(signing_key, signing_str)) - request.headers["Authorization"] = Signer.build_auth_header_v4(sign, md, credentials) - - @staticmethod - def hashed_canonical_request_v4(request, meta): - body_hash = Util.sha256(request.body) - request.headers["X-Content-Sha256"] = body_hash - - signed_headers = {} - for key in request.headers: - if key in {"Content-Type", "Content-Md5", "Host"} or key.startswith("X-"): - signed_headers[key.lower()] = request.headers[key] - - if "host" in signed_headers: - v = signed_headers["host"] - if v.find(":") != -1: - split = v.split(":") - port = split[1] - if str(port) == "80" or str(port) == "443": - signed_headers["host"] = split[0] - - signed_str = "" - for key in sorted(signed_headers.keys()): - signed_str += key + ":" + signed_headers[key] + "\n" - - meta.set_signed_headers(";".join(sorted(signed_headers.keys()))) - - canonical_request = "\n".join( - [ - request.method, - Util.norm_uri(request.path), - Util.norm_query(request.query), - signed_str, - meta.signed_headers, - body_hash, - ] - ) - - return Util.sha256(canonical_request) - - @staticmethod - def get_signing_secret_key_v4(sk, date, region, service): - date = Util.hmac_sha256(bytes(sk, encoding="utf-8"), date) - region = Util.hmac_sha256(date, region) - service = Util.hmac_sha256(region, service) - return Util.hmac_sha256(service, "request") - - @staticmethod - def build_auth_header_v4(signature, meta, credentials): - credential = credentials.ak + "/" + meta.credential_scope - return ( - meta.algorithm - + " Credential=" - + credential - + ", SignedHeaders=" - + meta.signed_headers - + ", Signature=" - + signature - ) - - @staticmethod - def get_current_format_date(): - return datetime.datetime.now(tz=pytz.timezone("UTC")).strftime("%Y%m%dT%H%M%SZ") diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py deleted file mode 100644 index 33c41f3eb331a3..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/service.py +++ /dev/null @@ -1,216 +0,0 @@ -import json -from collections import OrderedDict -from urllib.parse import urlencode - -import requests - -from .auth import Signer - -VERSION = "v1.0.137" - - -class Service: - def __init__(self, service_info, api_info): - self.service_info = service_info - self.api_info = api_info - self.session = requests.session() - - def set_ak(self, ak): - self.service_info.credentials.set_ak(ak) - - def set_sk(self, sk): - self.service_info.credentials.set_sk(sk) - - def set_session_token(self, session_token): - self.service_info.credentials.set_session_token(session_token) - - def set_host(self, host): - self.service_info.host = host - - def set_scheme(self, scheme): - self.service_info.scheme = scheme - - def get(self, api, params, doseq=0): - if api not in self.api_info: - raise Exception("no such api") - api_info = self.api_info[api] - - r = self.prepare_request(api_info, params, doseq) - - Signer.sign(r, self.service_info.credentials) - - url = r.build(doseq) - resp = self.session.get( - url, headers=r.headers, timeout=(self.service_info.connection_timeout, self.service_info.socket_timeout) - ) - if resp.status_code == 200: - return resp.text - else: - raise Exception(resp.text) - - def post(self, api, params, form): - if api not in self.api_info: - raise Exception("no such api") - api_info = self.api_info[api] - r = self.prepare_request(api_info, params) - r.headers["Content-Type"] = "application/x-www-form-urlencoded" - r.form = self.merge(api_info.form, form) - r.body = urlencode(r.form, True) - Signer.sign(r, self.service_info.credentials) - - url = r.build() - - resp = self.session.post( - url, - headers=r.headers, - data=r.form, - timeout=(self.service_info.connection_timeout, self.service_info.socket_timeout), - ) - if resp.status_code == 200: - return resp.text - else: - raise Exception(resp.text) - - def json(self, api, params, body): - if api not in self.api_info: - raise Exception("no such api") - api_info = self.api_info[api] - r = self.prepare_request(api_info, params) - r.headers["Content-Type"] = "application/json" - r.body = body - - Signer.sign(r, self.service_info.credentials) - - url = r.build() - resp = self.session.post( - url, - headers=r.headers, - data=r.body, - timeout=(self.service_info.connection_timeout, self.service_info.socket_timeout), - ) - if resp.status_code == 200: - return json.dumps(resp.json()) - else: - raise Exception(resp.text.encode("utf-8")) - - def put(self, url, file_path, headers): - with open(file_path, "rb") as f: - resp = self.session.put(url, headers=headers, data=f) - if resp.status_code == 200: - return True, resp.text.encode("utf-8") - else: - return False, resp.text.encode("utf-8") - - def put_data(self, url, data, headers): - resp = self.session.put(url, headers=headers, data=data) - if resp.status_code == 200: - return True, resp.text.encode("utf-8") - else: - return False, resp.text.encode("utf-8") - - def prepare_request(self, api_info, params, doseq=0): - for key in params: - if type(params[key]) == int or type(params[key]) == float or type(params[key]) == bool: - params[key] = str(params[key]) - elif type(params[key]) == list: - if not doseq: - params[key] = ",".join(params[key]) - - connection_timeout = self.service_info.connection_timeout - socket_timeout = self.service_info.socket_timeout - - r = Request() - r.set_schema(self.service_info.scheme) - r.set_method(api_info.method) - r.set_connection_timeout(connection_timeout) - r.set_socket_timeout(socket_timeout) - - headers = self.merge(api_info.header, self.service_info.header) - headers["Host"] = self.service_info.host - headers["User-Agent"] = "volc-sdk-python/" + VERSION - r.set_headers(headers) - - query = self.merge(api_info.query, params) - r.set_query(query) - - r.set_host(self.service_info.host) - r.set_path(api_info.path) - - return r - - @staticmethod - def merge(param1, param2): - od = OrderedDict() - for key in param1: - od[key] = param1[key] - - for key in param2: - od[key] = param2[key] - - return od - - -class Request: - def __init__(self): - self.schema = "" - self.method = "" - self.host = "" - self.path = "" - self.headers = OrderedDict() - self.query = OrderedDict() - self.body = "" - self.form = {} - self.connection_timeout = 0 - self.socket_timeout = 0 - - def set_schema(self, schema): - self.schema = schema - - def set_method(self, method): - self.method = method - - def set_host(self, host): - self.host = host - - def set_path(self, path): - self.path = path - - def set_headers(self, headers): - self.headers = headers - - def set_query(self, query): - self.query = query - - def set_body(self, body): - self.body = body - - def set_connection_timeout(self, connection_timeout): - self.connection_timeout = connection_timeout - - def set_socket_timeout(self, socket_timeout): - self.socket_timeout = socket_timeout - - def build(self, doseq=0): - return self.schema + "://" + self.host + self.path + "?" + urlencode(self.query, doseq) - - -class ServiceInfo: - def __init__(self, host, header, credentials, connection_timeout, socket_timeout, scheme="http"): - self.host = host - self.header = header - self.credentials = credentials - self.connection_timeout = connection_timeout - self.socket_timeout = socket_timeout - self.scheme = scheme - - -class ApiInfo: - def __init__(self, method, path, query, form, header): - self.method = method - self.path = path - self.query = query - self.form = form - self.header = header - - def __str__(self): - return "method: " + self.method + ", path: " + self.path diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py deleted file mode 100644 index 178d63714e9cf1..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/util.py +++ /dev/null @@ -1,44 +0,0 @@ -import hashlib -import hmac -import operator -from functools import reduce -from urllib.parse import quote - - -class Util: - @staticmethod - def norm_uri(path): - return quote(path).replace("%2F", "/").replace("+", "%20") - - @staticmethod - def norm_query(params): - query = "" - for key in sorted(params.keys()): - if type(params[key]) == list: - for k in params[key]: - query = query + quote(key, safe="-_.~") + "=" + quote(k, safe="-_.~") + "&" - else: - query = query + quote(key, safe="-_.~") + "=" + quote(params[key], safe="-_.~") + "&" - query = query[:-1] - return query.replace("+", "%20") - - @staticmethod - def hmac_sha256(key, content): - return hmac.new(key, bytes(content, encoding="utf-8"), hashlib.sha256).digest() - - @staticmethod - def sha256(content): - if isinstance(content, str) is True: - return hashlib.sha256(content.encode("utf-8")).hexdigest() - else: - return hashlib.sha256(content).hexdigest() - - @staticmethod - def to_hex(content): - lst = [] - for ch in content: - hv = hex(ch).replace("0x", "") - if len(hv) == 1: - hv = "0" + hv - lst.append(hv) - return reduce(operator.add, lst) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py deleted file mode 100644 index 0bfb18cda6d9f7..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/common.py +++ /dev/null @@ -1,78 +0,0 @@ -import json -import random -from collections import UserDict -from datetime import datetime - - -class ChatRole: - USER = "user" - ASSISTANT = "assistant" - SYSTEM = "system" - FUNCTION = "function" - - -class _Dict(UserDict): - __setattr__ = UserDict.__setitem__ - __getattr__ = UserDict.__getitem__ - - def __missing__(self, key): - return None - - -def dict_to_object(dict_obj): - # 支持嵌套类型 - if isinstance(dict_obj, list): - insts = [] - for i in dict_obj: - insts.append(dict_to_object(i)) - return insts - - if isinstance(dict_obj, dict): - inst = _Dict() - for k, v in dict_obj.items(): - inst[k] = dict_to_object(v) - return inst - - return dict_obj - - -def json_to_object(json_str, req_id=None): - obj = dict_to_object(json.loads(json_str)) - if obj and isinstance(obj, dict) and req_id: - obj["req_id"] = req_id - return obj - - -def gen_req_id(): - return datetime.now().strftime("%Y%m%d%H%M%S") + format(random.randint(0, 2**64 - 1), "020X") - - -class SSEDecoder: - def __init__(self, source): - self.source = source - - def _read(self): - data = b"" - for chunk in self.source: - for line in chunk.splitlines(True): - data += line - if data.endswith((b"\r\r", b"\n\n", b"\r\n\r\n")): - yield data - data = b"" - if data: - yield data - - def next(self): - for chunk in self._read(): - for line in chunk.splitlines(): - # skip comment - if line.startswith(b":"): - continue - - if b":" in line: - field, value = line.split(b":", 1) - else: - field, value = line, b"" - - if field == b"data" and len(value) > 0: - yield value diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py deleted file mode 100644 index a3836685f1fbf4..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/maas.py +++ /dev/null @@ -1,198 +0,0 @@ -import copy -import json -from collections.abc import Iterator - -from .base.auth import Credentials, Signer -from .base.service import ApiInfo, Service, ServiceInfo -from .common import SSEDecoder, dict_to_object, gen_req_id, json_to_object - - -class MaasService(Service): - def __init__(self, host, region, connection_timeout=60, socket_timeout=60): - service_info = self.get_service_info(host, region, connection_timeout, socket_timeout) - self._apikey = None - api_info = self.get_api_info() - super().__init__(service_info, api_info) - - def set_apikey(self, apikey): - self._apikey = apikey - - @staticmethod - def get_service_info(host, region, connection_timeout, socket_timeout): - service_info = ServiceInfo( - host, - {"Accept": "application/json"}, - Credentials("", "", "ml_maas", region), - connection_timeout, - socket_timeout, - "https", - ) - return service_info - - @staticmethod - def get_api_info(): - api_info = { - "chat": ApiInfo("POST", "/api/v2/endpoint/{endpoint_id}/chat", {}, {}, {}), - "embeddings": ApiInfo("POST", "/api/v2/endpoint/{endpoint_id}/embeddings", {}, {}, {}), - } - return api_info - - def chat(self, endpoint_id, req): - req["stream"] = False - return self._request(endpoint_id, "chat", req) - - def stream_chat(self, endpoint_id, req): - req_id = gen_req_id() - self._validate("chat", req_id) - apikey = self._apikey - - try: - req["stream"] = True - res = self._call(endpoint_id, "chat", req_id, {}, json.dumps(req).encode("utf-8"), apikey, stream=True) - - decoder = SSEDecoder(res) - - def iter_fn(): - for data in decoder.next(): - if data == b"[DONE]": - return - - try: - res = json_to_object(str(data, encoding="utf-8"), req_id=req_id) - except Exception: - raise - - if res.error is not None and res.error.code_n != 0: - raise MaasError( - res.error.code_n, - res.error.code, - res.error.message, - req_id, - ) - yield res - - return iter_fn() - except MaasError: - raise - except Exception as e: - raise new_client_sdk_request_error(str(e)) - - def embeddings(self, endpoint_id, req): - return self._request(endpoint_id, "embeddings", req) - - def _request(self, endpoint_id, api, req, params={}): - req_id = gen_req_id() - - self._validate(api, req_id) - - apikey = self._apikey - - try: - res = self._call(endpoint_id, api, req_id, params, json.dumps(req).encode("utf-8"), apikey) - resp = dict_to_object(res.json()) - if resp and isinstance(resp, dict): - resp["req_id"] = req_id - return resp - - except MaasError as e: - raise e - except Exception as e: - raise new_client_sdk_request_error(str(e), req_id) - - def _validate(self, api, req_id): - credentials_exist = ( - self.service_info.credentials is not None - and self.service_info.credentials.sk is not None - and self.service_info.credentials.ak is not None - ) - - if not self._apikey and not credentials_exist: - raise new_client_sdk_request_error("no valid credential", req_id) - - if api not in self.api_info: - raise new_client_sdk_request_error("no such api", req_id) - - def _call(self, endpoint_id, api, req_id, params, body, apikey=None, stream=False): - api_info = copy.deepcopy(self.api_info[api]) - api_info.path = api_info.path.format(endpoint_id=endpoint_id) - - r = self.prepare_request(api_info, params) - r.headers["x-tt-logid"] = req_id - r.headers["Content-Type"] = "application/json" - r.body = body - - if apikey is None: - Signer.sign(r, self.service_info.credentials) - elif apikey is not None: - r.headers["Authorization"] = "Bearer " + apikey - - url = r.build() - res = self.session.post( - url, - headers=r.headers, - data=r.body, - timeout=( - self.service_info.connection_timeout, - self.service_info.socket_timeout, - ), - stream=stream, - ) - - if res.status_code != 200: - raw = res.text.encode() - res.close() - try: - resp = json_to_object(str(raw, encoding="utf-8"), req_id=req_id) - except Exception: - raise new_client_sdk_request_error(raw, req_id) - - if resp.error: - raise MaasError(resp.error.code_n, resp.error.code, resp.error.message, req_id) - else: - raise new_client_sdk_request_error(resp, req_id) - - return res - - -class MaasError(Exception): - def __init__(self, code_n, code, message, req_id): - self.code_n = code_n - self.code = code - self.message = message - self.req_id = req_id - - def __str__(self): - return ( - "Detailed exception information is listed below.\n" - + "req_id: {}\n" - + "code_n: {}\n" - + "code: {}\n" - + "message: {}" - ).format(self.req_id, self.code_n, self.code, self.message) - - -def new_client_sdk_request_error(raw, req_id=""): - return MaasError(1709701, "ClientSDKRequestError", "MaaS SDK request error: {}".format(raw), req_id) - - -class BinaryResponseContent: - def __init__(self, response, request_id) -> None: - self.response = response - self.request_id = request_id - - def stream_to_file(self, file: str) -> None: - is_first = True - error_bytes = b"" - with open(file, mode="wb") as f: - for data in self.response: - if len(error_bytes) > 0 or (is_first and '"error":' in str(data)): - error_bytes += data - else: - f.write(data) - - if len(error_bytes) > 0: - resp = json_to_object(str(error_bytes, encoding="utf-8"), req_id=self.request_id) - raise MaasError(resp.error.code_n, resp.error.code, resp.error.message, self.request_id) - - def iter_bytes(self) -> Iterator[bytes]: - yield from self.response diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py deleted file mode 100644 index ac2805f7d4bc0b..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py +++ /dev/null @@ -1,429 +0,0 @@ -import logging -from collections.abc import Generator -from typing import Optional - -from volcenginesdkarkruntime.types.chat import ChatCompletion, ChatCompletionChunk # type: ignore - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageTool, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.volcengine_maas.client import ArkClientV3 -from core.model_runtime.model_providers.volcengine_maas.legacy.client import MaaSClient -from core.model_runtime.model_providers.volcengine_maas.legacy.errors import ( - AuthErrors, - BadRequestErrors, - ConnectionErrors, - MaasError, - RateLimitErrors, - ServerUnavailableErrors, -) -from core.model_runtime.model_providers.volcengine_maas.llm.models import ( - get_model_config, - get_v2_req_params, - get_v3_req_params, -) - -logger = logging.getLogger(__name__) - - -class VolcengineMaaSLargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - if ArkClientV3.is_legacy(credentials): - return self._generate_v2(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - return self._generate_v3(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate credentials - """ - if ArkClientV3.is_legacy(credentials): - return self._validate_credentials_v2(credentials) - return self._validate_credentials_v3(credentials) - - @staticmethod - def _validate_credentials_v2(credentials: dict) -> None: - client = MaaSClient.from_credential(credentials) - try: - client.chat( - { - "max_new_tokens": 16, - "temperature": 0.7, - "top_p": 0.9, - "top_k": 15, - }, - [UserPromptMessage(content="ping\nAnswer: ")], - ) - except MaasError as e: - raise CredentialsValidateFailedError(e.message) - - @staticmethod - def _validate_credentials_v3(credentials: dict) -> None: - client = ArkClientV3.from_credentials(credentials) - try: - client.chat( - max_tokens=16, - temperature=0.7, - top_p=0.9, - messages=[UserPromptMessage(content="ping\nAnswer: ")], - ) - except Exception as e: - raise CredentialsValidateFailedError(e) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - if ArkClientV3.is_legacy(credentials): - return self._get_num_tokens_v2(prompt_messages) - return self._get_num_tokens_v3(prompt_messages) - - def _get_num_tokens_v2(self, messages: list[PromptMessage]) -> int: - if len(messages) == 0: - return 0 - num_tokens = 0 - messages_dict = [MaaSClient.convert_prompt_message_to_maas_message(m) for m in messages] - for message in messages_dict: - for key, value in message.items(): - num_tokens += self._get_num_tokens_by_gpt2(str(key)) - num_tokens += self._get_num_tokens_by_gpt2(str(value)) - - return num_tokens - - def _get_num_tokens_v3(self, messages: list[PromptMessage]) -> int: - if len(messages) == 0: - return 0 - num_tokens = 0 - messages_dict = [ArkClientV3.convert_prompt_message(m) for m in messages] - for message in messages_dict: - for key, value in message.items(): - # Ignore tokens for image type - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - num_tokens += self._get_num_tokens_by_gpt2(str(key)) - num_tokens += self._get_num_tokens_by_gpt2(str(value)) - - return num_tokens - - def _generate_v2( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - client = MaaSClient.from_credential(credentials) - req_params = get_v2_req_params(credentials, model_parameters, stop) - extra_model_kwargs = {} - if tools: - extra_model_kwargs["tools"] = [MaaSClient.transform_tool_prompt_to_maas_config(tool) for tool in tools] - resp = MaaSClient.wrap_exception(lambda: client.chat(req_params, prompt_messages, stream, **extra_model_kwargs)) - - def _handle_stream_chat_response() -> Generator: - for index, r in enumerate(resp): - choices = r["choices"] - if not choices: - continue - choice = choices[0] - message = choice["message"] - usage = None - if r.get("usage"): - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=r["usage"]["prompt_tokens"], - completion_tokens=r["usage"]["completion_tokens"], - ) - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=index, - message=AssistantPromptMessage(content=message["content"] or "", tool_calls=[]), - usage=usage, - finish_reason=choice.get("finish_reason"), - ), - ) - - def _handle_chat_response() -> LLMResult: - choices = resp["choices"] - if not choices: - raise ValueError("No choices found") - - choice = choices[0] - message = choice["message"] - - # parse tool calls - tool_calls = [] - if message["tool_calls"]: - for call in message["tool_calls"]: - tool_call = AssistantPromptMessage.ToolCall( - id=call["function"]["name"], - type=call["type"], - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=call["function"]["name"], arguments=call["function"]["arguments"] - ), - ) - tool_calls.append(tool_call) - - usage = resp["usage"] - return LLMResult( - model=model, - prompt_messages=prompt_messages, - message=AssistantPromptMessage( - content=message["content"] or "", - tool_calls=tool_calls, - ), - usage=self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=usage["prompt_tokens"], - completion_tokens=usage["completion_tokens"], - ), - ) - - if not stream: - return _handle_chat_response() - return _handle_stream_chat_response() - - def wrap_thinking(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]: - content = "" - reasoning_content = None - if hasattr(delta, "content"): - content = delta.content - if hasattr(delta, "reasoning_content"): - reasoning_content = delta.reasoning_content - return self._wrap_thinking_by_reasoning_content( - {"content": content, "reasoning_content": reasoning_content}, is_reasoning - ) - - def _generate_v3( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - client = ArkClientV3.from_credentials(credentials) - req_params = get_v3_req_params(credentials, model_parameters, stop) - if tools: - req_params["tools"] = tools - - def _handle_stream_chat_response(chunks: Generator[ChatCompletionChunk]) -> Generator: - is_reasoning_started = False - for chunk in chunks: - content = "" - if chunk.choices: - delta = chunk.choices[0].delta - content, is_reasoning_started = self.wrap_thinking(delta, is_reasoning_started) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=content, tool_calls=[]), - usage=self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=chunk.usage.prompt_tokens, - completion_tokens=chunk.usage.completion_tokens, - ) - if chunk.usage - else None, - finish_reason=chunk.choices[0].finish_reason if chunk.choices else None, - ), - ) - - def _handle_chat_response(resp: ChatCompletion) -> LLMResult: - choice = resp.choices[0] - message = choice.message - # parse tool calls - tool_calls = [] - if message.tool_calls: - for call in message.tool_calls: - tool_call = AssistantPromptMessage.ToolCall( - id=call.id, - type=call.type, - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=call.function.name, arguments=call.function.arguments - ), - ) - tool_calls.append(tool_call) - - usage = resp.usage - return LLMResult( - model=model, - prompt_messages=prompt_messages, - message=AssistantPromptMessage( - content=message.content or "", - tool_calls=tool_calls, - ), - usage=self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=usage.prompt_tokens, - completion_tokens=usage.completion_tokens, - ), - ) - - if not stream: - resp = client.chat(prompt_messages, **req_params) - return _handle_chat_response(resp) - - chunks = client.stream_chat(prompt_messages, **req_params) - return _handle_stream_chat_response(chunks) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - model_config = get_model_config(credentials) - - if model.startswith("DeepSeek-R1"): - rules = [ - ParameterRule( - name="max_tokens", - type=ParameterType.INT, - use_template="max_tokens", - min=1, - max=model_config.properties.max_tokens, - default=512, - label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"), - ), - ] - else: - rules = [ - ParameterRule( - name="temperature", - type=ParameterType.FLOAT, - use_template="temperature", - label=I18nObject(zh_Hans="温度", en_US="Temperature"), - ), - ParameterRule( - name="top_p", - type=ParameterType.FLOAT, - use_template="top_p", - label=I18nObject(zh_Hans="Top P", en_US="Top P"), - ), - ParameterRule( - name="top_k", - type=ParameterType.INT, - min=1, - default=1, - label=I18nObject(zh_Hans="Top K", en_US="Top K"), - ), - ParameterRule( - name="presence_penalty", - type=ParameterType.FLOAT, - use_template="presence_penalty", - label=I18nObject( - en_US="Presence Penalty", - zh_Hans="存在惩罚", - ), - min=-2.0, - max=2.0, - ), - ParameterRule( - name="frequency_penalty", - type=ParameterType.FLOAT, - use_template="frequency_penalty", - label=I18nObject( - en_US="Frequency Penalty", - zh_Hans="频率惩罚", - ), - min=-2.0, - max=2.0, - ), - ParameterRule( - name="max_tokens", - type=ParameterType.INT, - use_template="max_tokens", - min=1, - max=model_config.properties.max_tokens, - default=512, - label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"), - ), - ] - - model_properties = {} - model_properties[ModelPropertyKey.CONTEXT_SIZE] = model_config.properties.context_size - model_properties[ModelPropertyKey.MODE] = model_config.properties.mode.value - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.LLM, - model_properties=model_properties, - parameter_rules=rules, - features=model_config.features, - ) - - return entity - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: ConnectionErrors.values(), - InvokeServerUnavailableError: ServerUnavailableErrors.values(), - InvokeRateLimitError: RateLimitErrors.values(), - InvokeAuthorizationError: AuthErrors.values(), - InvokeBadRequestError: BadRequestErrors.values(), - } diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py deleted file mode 100644 index 6a2b0e5087ab8a..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py +++ /dev/null @@ -1,193 +0,0 @@ -from typing import Any - -from pydantic import BaseModel - -from core.model_runtime.entities.llm_entities import LLMMode -from core.model_runtime.entities.model_entities import ModelFeature - - -class ModelProperties(BaseModel): - context_size: int - max_tokens: int - mode: LLMMode - - -class ModelConfig(BaseModel): - properties: ModelProperties - features: list[ModelFeature] - - -configs: dict[str, ModelConfig] = { - "DeepSeek-R1-Distill-Qwen-32B": ModelConfig( - properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "DeepSeek-R1-Distill-Qwen-7B": ModelConfig( - properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "DeepSeek-R1": ModelConfig( - properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "DeepSeek-V3": ModelConfig( - properties=ModelProperties(context_size=64000, max_tokens=8192, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL, ModelFeature.STREAM_TOOL_CALL], - ), - "Doubao-1.5-vision-pro-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION], - ), - "Doubao-1.5-pro-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Doubao-1.5-lite-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=12288, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Doubao-1.5-pro-256k": ModelConfig( - properties=ModelProperties(context_size=262144, max_tokens=12288, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Doubao-vision-pro-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION], - ), - "Doubao-vision-lite-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.VISION], - ), - "Doubao-pro-4k": ModelConfig( - properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Doubao-lite-4k": ModelConfig( - properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Doubao-pro-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Doubao-lite-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Doubao-pro-256k": ModelConfig( - properties=ModelProperties(context_size=262144, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Doubao-pro-128k": ModelConfig( - properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Doubao-lite-128k": ModelConfig( - properties=ModelProperties(context_size=131072, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Skylark2-pro-4k": ModelConfig( - properties=ModelProperties(context_size=4096, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Llama3-8B": ModelConfig( - properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Llama3-70B": ModelConfig( - properties=ModelProperties(context_size=8192, max_tokens=8192, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), - "Moonshot-v1-8k": ModelConfig( - properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Moonshot-v1-32k": ModelConfig( - properties=ModelProperties(context_size=32768, max_tokens=16384, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Moonshot-v1-128k": ModelConfig( - properties=ModelProperties(context_size=131072, max_tokens=65536, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "GLM3-130B": ModelConfig( - properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "GLM3-130B-Fin": ModelConfig( - properties=ModelProperties(context_size=8192, max_tokens=4096, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT, ModelFeature.TOOL_CALL], - ), - "Mistral-7B": ModelConfig( - properties=ModelProperties(context_size=8192, max_tokens=2048, mode=LLMMode.CHAT), - features=[ModelFeature.AGENT_THOUGHT], - ), -} - - -def get_model_config(credentials: dict) -> ModelConfig: - base_model = credentials.get("base_model_name", "") - model_configs = configs.get(base_model) - if not model_configs: - return ModelConfig( - properties=ModelProperties( - context_size=int(credentials.get("context_size", 0)), - max_tokens=int(credentials.get("max_tokens", 0)), - mode=LLMMode.value_of(credentials.get("mode", "chat")), - ), - features=[], - ) - return model_configs - - -def get_v2_req_params(credentials: dict, model_parameters: dict, stop: list[str] | None = None): - req_params: dict[str, Any] = {} - # predefined properties - model_configs = get_model_config(credentials) - if model_configs: - req_params["max_prompt_tokens"] = model_configs.properties.context_size - req_params["max_new_tokens"] = model_configs.properties.max_tokens - - # model parameters - if model_parameters.get("max_tokens"): - req_params["max_new_tokens"] = model_parameters.get("max_tokens") - if model_parameters.get("temperature"): - req_params["temperature"] = model_parameters.get("temperature") - if model_parameters.get("top_p"): - req_params["top_p"] = model_parameters.get("top_p") - if model_parameters.get("top_k"): - req_params["top_k"] = model_parameters.get("top_k") - if model_parameters.get("presence_penalty"): - req_params["presence_penalty"] = model_parameters.get("presence_penalty") - if model_parameters.get("frequency_penalty"): - req_params["frequency_penalty"] = model_parameters.get("frequency_penalty") - - if stop: - req_params["stop"] = stop - - return req_params - - -def get_v3_req_params(credentials: dict, model_parameters: dict, stop: list[str] | None = None): - req_params: dict[str, Any] = {} - # predefined properties - model_configs = get_model_config(credentials) - if model_configs: - req_params["max_tokens"] = model_configs.properties.max_tokens - - # model parameters - if model_parameters.get("max_tokens"): - req_params["max_tokens"] = model_parameters.get("max_tokens") - if model_parameters.get("temperature"): - req_params["temperature"] = model_parameters.get("temperature") - if model_parameters.get("top_p"): - req_params["top_p"] = model_parameters.get("top_p") - if model_parameters.get("presence_penalty"): - req_params["presence_penalty"] = model_parameters.get("presence_penalty") - if model_parameters.get("frequency_penalty"): - req_params["frequency_penalty"] = model_parameters.get("frequency_penalty") - - if stop: - req_params["stop"] = stop - - return req_params diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py deleted file mode 100644 index be9bba5f2450d2..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/models.py +++ /dev/null @@ -1,29 +0,0 @@ -from pydantic import BaseModel - - -class ModelProperties(BaseModel): - context_size: int - max_chunks: int - - -class ModelConfig(BaseModel): - properties: ModelProperties - - -ModelConfigs = { - "Doubao-embedding": ModelConfig(properties=ModelProperties(context_size=4096, max_chunks=32)), - "Doubao-embedding-large": ModelConfig(properties=ModelProperties(context_size=4096, max_chunks=32)), -} - - -def get_model_config(credentials: dict) -> ModelConfig: - base_model = credentials.get("base_model_name", "") - model_configs = ModelConfigs.get(base_model) - if not model_configs: - return ModelConfig( - properties=ModelProperties( - context_size=int(credentials.get("context_size", 4096)), - max_chunks=int(credentials.get("max_chunks", 1)), - ) - ) - return model_configs diff --git a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py deleted file mode 100644 index 4d13e4708b6004..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/text_embedding/text_embedding.py +++ /dev/null @@ -1,198 +0,0 @@ -import time -from decimal import Decimal -from typing import Optional - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelPropertyKey, - ModelType, - PriceConfig, - PriceType, -) -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.volcengine_maas.client import ArkClientV3 -from core.model_runtime.model_providers.volcengine_maas.legacy.client import MaaSClient -from core.model_runtime.model_providers.volcengine_maas.legacy.errors import ( - AuthErrors, - BadRequestErrors, - ConnectionErrors, - MaasError, - RateLimitErrors, - ServerUnavailableErrors, -) -from core.model_runtime.model_providers.volcengine_maas.text_embedding.models import get_model_config - - -class VolcengineMaaSTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for VolcengineMaaS text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - if ArkClientV3.is_legacy(credentials): - return self._generate_v2(model, credentials, texts, user) - - return self._generate_v3(model, credentials, texts, user) - - def _generate_v2( - self, model: str, credentials: dict, texts: list[str], user: Optional[str] = None - ) -> TextEmbeddingResult: - client = MaaSClient.from_credential(credentials) - resp = MaaSClient.wrap_exception(lambda: client.embeddings(texts)) - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=resp["usage"]["total_tokens"]) - - result = TextEmbeddingResult(model=model, embeddings=[v["embedding"] for v in resp["data"]], usage=usage) - - return result - - def _generate_v3( - self, model: str, credentials: dict, texts: list[str], user: Optional[str] = None - ) -> TextEmbeddingResult: - client = ArkClientV3.from_credentials(credentials) - resp = client.embeddings(texts) - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=resp.usage.total_tokens) - - result = TextEmbeddingResult(model=model, embeddings=[v.embedding for v in resp.data], usage=usage) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - num_tokens = 0 - for text in texts: - # use GPT2Tokenizer to get num tokens - num_tokens += self._get_num_tokens_by_gpt2(text) - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - if ArkClientV3.is_legacy(credentials): - return self._validate_credentials_v2(model, credentials) - return self._validate_credentials_v3(model, credentials) - - def _validate_credentials_v2(self, model: str, credentials: dict) -> None: - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except MaasError as e: - raise CredentialsValidateFailedError(e.message) - - def _validate_credentials_v3(self, model: str, credentials: dict) -> None: - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except Exception as e: - raise CredentialsValidateFailedError(e) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: ConnectionErrors.values(), - InvokeServerUnavailableError: ServerUnavailableErrors.values(), - InvokeRateLimitError: RateLimitErrors.values(), - InvokeAuthorizationError: AuthErrors.values(), - InvokeBadRequestError: BadRequestErrors.values(), - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - model_config = get_model_config(credentials) - model_properties = { - ModelPropertyKey.CONTEXT_SIZE: model_config.properties.context_size, - ModelPropertyKey.MAX_CHUNKS: model_config.properties.max_chunks, - } - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties=model_properties, - parameter_rules=[], - pricing=PriceConfig( - input=Decimal(credentials.get("input_price", 0)), - unit=Decimal(credentials.get("unit", 0)), - currency=credentials.get("currency", "USD"), - ), - ) - - return entity - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.py b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.py deleted file mode 100644 index 10f9be2d08e70d..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class VolcengineMaaSProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml deleted file mode 100644 index 210ac1cdf1a160..00000000000000 --- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml +++ /dev/null @@ -1,338 +0,0 @@ -provider: volcengine_maas -label: - en_US: Volcengine -description: - en_US: Volcengine Ark models. - zh_Hans: 火山方舟提供的模型，例如 Doubao-pro-4k、Doubao-pro-32k 和 Doubao-pro-128k。 -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg - zh_Hans: icon_l_zh.svg -background: "#F9FAFB" -help: - title: - en_US: Get your Access Key and Secret Access Key from Volcengine Console - zh_Hans: 从火山引擎控制台获取您的 Access Key 和 Secret Access Key - url: - en_US: https://console.volcengine.com/iam/keymanage/ -supported_model_types: - - llm - - text-embedding -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your Model Name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: auth_method - required: true - label: - en_US: Authentication Method - zh_Hans: 鉴权方式 - type: select - default: aksk - options: - - label: - en_US: API Key - value: api_key - - label: - en_US: Access Key / Secret Access Key - value: aksk - placeholder: - en_US: Enter your Authentication Method - zh_Hans: 选择鉴权方式 - - variable: volc_access_key_id - required: true - show_on: - - variable: auth_method - value: aksk - label: - en_US: Access Key - zh_Hans: Access Key - type: secret-input - placeholder: - en_US: Enter your Access Key - zh_Hans: 输入您的 Access Key - - variable: volc_secret_access_key - required: true - show_on: - - variable: auth_method - value: aksk - label: - en_US: Secret Access Key - zh_Hans: Secret Access Key - type: secret-input - placeholder: - en_US: Enter your Secret Access Key - zh_Hans: 输入您的 Secret Access Key - - variable: volc_api_key - required: true - show_on: - - variable: auth_method - value: api_key - label: - en_US: API Key - type: secret-input - placeholder: - en_US: Enter your API Key - zh_Hans: 输入您的 API Key - - variable: volc_region - required: true - label: - en_US: Volcengine Region - zh_Hans: 火山引擎地域 - type: text-input - default: cn-beijing - placeholder: - en_US: Enter Volcengine Region - zh_Hans: 输入火山引擎地域 - - variable: api_endpoint_host - required: true - label: - en_US: API Endpoint Host - zh_Hans: API Endpoint Host - type: text-input - default: https://ark.cn-beijing.volces.com/api/v3 - placeholder: - en_US: Enter your API Endpoint Host - zh_Hans: 输入 API Endpoint Host - - variable: endpoint_id - required: true - label: - en_US: Endpoint ID - zh_Hans: Endpoint ID - type: text-input - placeholder: - en_US: Enter your Endpoint ID - zh_Hans: 输入您的 Endpoint ID - - variable: base_model_name - label: - en_US: Base Model - zh_Hans: 基础模型 - type: select - required: true - options: - - label: - en_US: DeepSeek-R1-Distill-Qwen-32B - value: DeepSeek-R1-Distill-Qwen-32B - show_on: - - variable: __model_type - value: llm - - label: - en_US: DeepSeek-R1-Distill-Qwen-7B - value: DeepSeek-R1-Distill-Qwen-7B - show_on: - - variable: __model_type - value: llm - - label: - en_US: DeepSeek-R1 - value: DeepSeek-R1 - show_on: - - variable: __model_type - value: llm - - label: - en_US: DeepSeek-V3 - value: DeepSeek-V3 - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-1.5-vision-pro-32k - value: Doubao-1.5-vision-pro-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-1.5-pro-32k - value: Doubao-1.5-pro-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-1.5-lite-32k - value: Doubao-1.5-lite-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-1.5-pro-256k - value: Doubao-1.5-pro-256k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-vision-pro-32k - value: Doubao-vision-pro-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-vision-lite-32k - value: Doubao-vision-lite-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-pro-4k - value: Doubao-pro-4k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-lite-4k - value: Doubao-lite-4k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-pro-32k - value: Doubao-pro-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-lite-32k - value: Doubao-lite-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-pro-128k - value: Doubao-pro-128k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-lite-128k - value: Doubao-lite-128k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-pro-256k - value: Doubao-pro-256k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Llama3-8B - value: Llama3-8B - show_on: - - variable: __model_type - value: llm - - label: - en_US: Llama3-70B - value: Llama3-70B - show_on: - - variable: __model_type - value: llm - - label: - en_US: Moonshot-v1-8k - value: Moonshot-v1-8k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Moonshot-v1-32k - value: Moonshot-v1-32k - show_on: - - variable: __model_type - value: llm - - label: - en_US: Moonshot-v1-128k - value: Moonshot-v1-128k - show_on: - - variable: __model_type - value: llm - - label: - en_US: GLM3-130B - value: GLM3-130B - show_on: - - variable: __model_type - value: llm - - label: - en_US: GLM3-130B-Fin - value: GLM3-130B-Fin - show_on: - - variable: __model_type - value: llm - - label: - en_US: Mistral-7B - value: Mistral-7B - show_on: - - variable: __model_type - value: llm - - label: - en_US: Doubao-embedding - value: Doubao-embedding - show_on: - - variable: __model_type - value: text-embedding - - label: - en_US: Doubao-embedding-large - value: Doubao-embedding-large - show_on: - - variable: __model_type - value: text-embedding - - label: - en_US: Custom - zh_Hans: 自定义 - value: Custom - - variable: mode - required: true - show_on: - - variable: __model_type - value: llm - - variable: base_model_name - value: Custom - label: - zh_Hans: 模型类型 - en_US: Completion Mode - type: select - default: chat - placeholder: - zh_Hans: 选择对话类型 - en_US: Select Completion Mode - options: - - value: completion - label: - en_US: Completion - zh_Hans: 补全 - - value: chat - label: - en_US: Chat - zh_Hans: 对话 - - variable: context_size - required: true - show_on: - - variable: base_model_name - value: Custom - label: - zh_Hans: 模型上下文长度 - en_US: Model Context Size - type: text-input - default: "4096" - placeholder: - zh_Hans: 输入您的模型上下文长度 - en_US: Enter your Model Context Size - - variable: max_tokens - required: true - show_on: - - variable: __model_type - value: llm - - variable: base_model_name - value: Custom - label: - zh_Hans: 最大 token 上限 - en_US: Upper Bound for Max Tokens - default: "4096" - type: text-input - placeholder: - zh_Hans: 输入您的模型最大 token 上限 - en_US: Enter your model Upper Bound for Max Tokens diff --git a/api/core/model_runtime/model_providers/voyage/__init__.py b/api/core/model_runtime/model_providers/voyage/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg deleted file mode 100644 index a961f5e4355eea..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/_assets/icon_l_en.svg +++ /dev/null @@ -1,21 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg deleted file mode 100644 index 2c4e121dd71f0b..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/_assets/icon_s_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - voyage - - - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/voyage/rerank/__init__.py b/api/core/model_runtime/model_providers/voyage/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/_position.yaml b/api/core/model_runtime/model_providers/voyage/rerank/_position.yaml deleted file mode 100644 index 32afefbe047806..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/rerank/_position.yaml +++ /dev/null @@ -1,4 +0,0 @@ -- rerank-2 -- rerank-lite-2 -- rerank-1 -- rerank-lite-1 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml deleted file mode 100644 index 9c894eda85203b..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-1.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: rerank-1 -model_type: rerank -model_properties: - context_size: 8000 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-2.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-2.yaml deleted file mode 100644 index b760d3c41894a9..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-2.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: rerank-2 -model_type: rerank -model_properties: - context_size: 16000 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml deleted file mode 100644 index b052d6f00028cb..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-1.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: rerank-lite-1 -model_type: rerank -model_properties: - context_size: 4000 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-2.yaml b/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-2.yaml deleted file mode 100644 index b6fa37a25bf18a..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/rerank/rerank-lite-2.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: rerank-lite-2 -model_type: rerank -model_properties: - context_size: 8000 diff --git a/api/core/model_runtime/model_providers/voyage/rerank/rerank.py b/api/core/model_runtime/model_providers/voyage/rerank/rerank.py deleted file mode 100644 index 33fdebbb45ef36..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/rerank/rerank.py +++ /dev/null @@ -1,123 +0,0 @@ -from typing import Optional - -import httpx - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel - - -class VoyageRerankModel(RerankModel): - """ - Model class for Voyage rerank model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n documents to return - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - base_url = credentials.get("base_url", "https://api.voyageai.com/v1") - base_url = base_url.removesuffix("/") - - try: - response = httpx.post( - base_url + "/rerank", - json={"model": model, "query": query, "documents": docs, "top_k": top_n, "return_documents": True}, - headers={"Authorization": f"Bearer {credentials.get('api_key')}", "Content-Type": "application/json"}, - ) - response.raise_for_status() - results = response.json() - - rerank_documents = [] - for result in results["data"]: - rerank_document = RerankDocument( - index=result["index"], - text=result["document"], - score=result["relevance_score"], - ) - if score_threshold is None or result["relevance_score"] >= score_threshold: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - except httpx.HTTPStatusError as e: - raise InvokeServerUnavailableError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return { - InvokeConnectionError: [httpx.ConnectError], - InvokeServerUnavailableError: [httpx.RemoteProtocolError], - InvokeRateLimitError: [], - InvokeAuthorizationError: [httpx.HTTPStatusError], - InvokeBadRequestError: [httpx.RequestError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.RERANK, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "8000"))}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/__init__.py b/api/core/model_runtime/model_providers/voyage/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/_position.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/_position.yaml deleted file mode 100644 index 595663990f5945..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/_position.yaml +++ /dev/null @@ -1,6 +0,0 @@ -- voyage-3 -- voyage-3-lite -- voyage-finance-2 -- voyage-multilingual-2 -- voyage-law-2 -- voyage-code-2 diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py deleted file mode 100644 index 16f1bd43d8820d..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/text_embedding.py +++ /dev/null @@ -1,172 +0,0 @@ -import time -from json import JSONDecodeError, dumps -from typing import Optional - -import requests - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel - - -class VoyageTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for Voyage text embedding model. - """ - - api_base: str = "https://api.voyageai.com/v1" - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - api_key = credentials["api_key"] - if not api_key: - raise CredentialsValidateFailedError("api_key is required") - - base_url = credentials.get("base_url", self.api_base) - base_url = base_url.removesuffix("/") - - url = base_url + "/embeddings" - headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - voyage_input_type = "null" - if input_type is not None: - voyage_input_type = input_type.value - data = {"model": model, "input": texts, "input_type": voyage_input_type} - - try: - response = requests.post(url, headers=headers, data=dumps(data)) - except Exception as e: - raise InvokeConnectionError(str(e)) - - if response.status_code != 200: - try: - resp = response.json() - msg = resp["detail"] - if response.status_code == 401: - raise InvokeAuthorizationError(msg) - elif response.status_code == 429: - raise InvokeRateLimitError(msg) - elif response.status_code == 500: - raise InvokeServerUnavailableError(msg) - else: - raise InvokeBadRequestError(msg) - except JSONDecodeError as e: - raise InvokeServerUnavailableError( - f"Failed to convert response to json: {e} with text: {response.text}" - ) - - try: - resp = response.json() - embeddings = resp["data"] - usage = resp["usage"] - except Exception as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") - - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"]) - - result = TextEmbeddingResult( - model=model, embeddings=[[float(data) for data in x["embedding"]] for x in embeddings], usage=usage - ) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - return sum(self._get_num_tokens_by_gpt2(text) for text in texts) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except Exception as e: - raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError, InvokeBadRequestError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - """ - generate custom model entities from credentials - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - model_type=ModelType.TEXT_EMBEDDING, - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 512))}, - ) - - return entity diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml deleted file mode 100644 index a06bb7639feacd..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3-lite.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: voyage-3-lite -model_type: text-embedding -model_properties: - context_size: 32000 -pricing: - input: '0.00002' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml deleted file mode 100644 index 117afbcaf3c808..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-3.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: voyage-3 -model_type: text-embedding -model_properties: - context_size: 32000 -pricing: - input: '0.00006' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-code-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-code-2.yaml deleted file mode 100644 index 693669c82c7ba3..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-code-2.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: voyage-code-2 -model_type: text-embedding -model_properties: - context_size: 16000 -pricing: - input: '0.00012' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-finance-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-finance-2.yaml deleted file mode 100644 index 555e11002ade3b..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-finance-2.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: voyage-finance-2 -model_type: text-embedding -model_properties: - context_size: 32000 -pricing: - input: '0.00012' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-law-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-law-2.yaml deleted file mode 100644 index 032693286f6e88..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-law-2.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: voyage-law-2 -model_type: text-embedding -model_properties: - context_size: 16000 -pricing: - input: '0.00012' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-multilingual-2.yaml b/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-multilingual-2.yaml deleted file mode 100644 index 9ecf4d50098338..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/text_embedding/voyage-multilingual-2.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: voyage-multilingual-2 -model_type: text-embedding -model_properties: - context_size: 32000 -pricing: - input: '0.00012' - unit: '0.001' - currency: USD diff --git a/api/core/model_runtime/model_providers/voyage/voyage.py b/api/core/model_runtime/model_providers/voyage/voyage.py deleted file mode 100644 index 3e33b45e110d56..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/voyage.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class VoyageProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING) - - # Use `voyage-3` model for validate, - # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="voyage-3", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/voyage/voyage.yaml b/api/core/model_runtime/model_providers/voyage/voyage.yaml deleted file mode 100644 index c64707800eebe0..00000000000000 --- a/api/core/model_runtime/model_providers/voyage/voyage.yaml +++ /dev/null @@ -1,31 +0,0 @@ -provider: voyage -label: - en_US: Voyage -description: - en_US: Embedding and Rerank Model Supported -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#EFFDFD" -help: - title: - en_US: Get your API key from Voyage AI - zh_Hans: 从 Voyage 获取 API Key - url: - en_US: https://dash.voyageai.com/ -supported_model_types: - - text-embedding - - rerank -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/wenxin/__init__.py b/api/core/model_runtime/model_providers/wenxin/__init__.py deleted file 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expires: datetime - - def __init__(self, api_key: str) -> None: - self.api_key = api_key - self.access_token = "" - self.expires = datetime.now() + timedelta(days=3) - - @staticmethod - def _get_access_token(api_key: str, secret_key: str) -> str: - """ - request access token from Baidu - """ - try: - response = post( - url=f"https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={api_key}&client_secret={secret_key}", - headers={"Content-Type": "application/json", "Accept": "application/json"}, - ) - except Exception as e: - raise InvalidAuthenticationError(f"Failed to get access token from Baidu: {e}") - - resp = response.json() - if "error" in resp: - if resp["error"] == "invalid_client": - raise InvalidAPIKeyError(f"Invalid API key or secret key: {resp['error_description']}") - elif resp["error"] == "unknown_error": - raise InternalServerError(f"Internal server error: {resp['error_description']}") - elif resp["error"] == "invalid_request": - raise BadRequestError(f"Bad request: {resp['error_description']}") - elif resp["error"] == "rate_limit_exceeded": - raise RateLimitReachedError(f"Rate limit reached: {resp['error_description']}") - else: - raise Exception(f"Unknown error: {resp['error_description']}") - - return resp["access_token"] - - @staticmethod - def get_access_token(api_key: str, secret_key: str) -> "BaiduAccessToken": - """ - LLM from Baidu requires access token to invoke the API. - however, we have api_key and secret_key, and access token is valid for 30 days. - so we can cache the access token for 3 days. (avoid memory leak) - - it may be more efficient to use a ticker to refresh access token, but it will cause - more complexity, so we just refresh access tokens when get_access_token is called. - """ - - # loop up cache, remove expired access token - baidu_access_tokens_lock.acquire() - now = datetime.now() - for key in list(baidu_access_tokens.keys()): - token = baidu_access_tokens[key] - if token.expires < now: - baidu_access_tokens.pop(key) - - if api_key not in baidu_access_tokens: - # if access token not in cache, request it - token = BaiduAccessToken(api_key) - baidu_access_tokens[api_key] = token - try: - # try to get access token - token_str = BaiduAccessToken._get_access_token(api_key, secret_key) - finally: - # release it to enhance performance - # btw, _get_access_token will raise exception if failed, release lock here to avoid deadlock - baidu_access_tokens_lock.release() - token.access_token = token_str - token.expires = now + timedelta(days=3) - return token - else: - # if access token in cache, return it - token = baidu_access_tokens[api_key] - baidu_access_tokens_lock.release() - return token - - -class _CommonWenxin: - api_bases = { - "ernie-bot": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-4k-0205", - "ernie-bot-4": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro", - "ernie-bot-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions", - "ernie-bot-turbo": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant", - "ernie-3.5-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions", - "ernie-3.5-8k-0205": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-8k-0205", - "ernie-3.5-8k-1222": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-8k-1222", - "ernie-3.5-4k-0205": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-4k-0205", - "ernie-3.5-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-3.5-128k", - "ernie-4.0-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro", - "ernie-4.0-8k-latest": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro", - "ernie-speed-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie_speed", - "ernie-speed-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-speed-128k", - "ernie-speed-appbuilder": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ai_apaas", - "ernie-lite-8k-0922": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant", - "ernie-lite-8k-0308": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-lite-8k", - "ernie-character-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-char-8k", - "ernie-character-8k-0321": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-char-8k", - "ernie-4.0-turbo-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-4.0-turbo-8k", - "ernie-4.0-turbo-8k-preview": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-4.0-turbo-8k-preview", - "ernie-4.0-turbo-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-4.0-turbo-128k", - "yi_34b_chat": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/yi_34b_chat", - "embedding-v1": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/embedding-v1", - "bge-large-en": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/bge_large_en", - "bge-large-zh": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/bge_large_zh", - "tao-8k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/tao_8k", - "bce-reranker-base_v1": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/reranker/bce_reranker_base", - "ernie-lite-pro-128k": "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/ernie-lite-pro-128k", - } - - function_calling_supports = [ - "ernie-bot", - "ernie-bot-8k", - "ernie-3.5-8k", - "ernie-3.5-8k-0205", - "ernie-3.5-8k-1222", - "ernie-3.5-4k-0205", - "ernie-3.5-128k", - "ernie-4.0-8k", - "ernie-4.0-turbo-8k", - "ernie-4.0-turbo-8k-preview", - "yi_34b_chat", - ] - - api_key: str = "" - secret_key: str = "" - - def __init__(self, api_key: str, secret_key: str): - self.api_key = api_key - self.secret_key = secret_key - - @staticmethod - def _to_credential_kwargs(credentials: dict) -> dict: - credentials_kwargs = {"api_key": credentials["api_key"], "secret_key": credentials["secret_key"]} - return credentials_kwargs - - def _handle_error(self, code: int, msg: str): - error_map = { - 1: InternalServerError, - 2: InternalServerError, - 3: BadRequestError, - 4: RateLimitReachedError, - 6: InvalidAuthenticationError, - 13: InvalidAPIKeyError, - 14: InvalidAPIKeyError, - 15: InvalidAPIKeyError, - 17: RateLimitReachedError, - 18: RateLimitReachedError, - 19: RateLimitReachedError, - 100: InvalidAPIKeyError, - 111: InvalidAPIKeyError, - 200: InternalServerError, - 336000: InternalServerError, - 336001: BadRequestError, - 336002: BadRequestError, - 336003: BadRequestError, - 336004: InvalidAuthenticationError, - 336005: InvalidAPIKeyError, - 336006: BadRequestError, - 336007: BadRequestError, - 336008: BadRequestError, - 336100: InternalServerError, - 336101: BadRequestError, - 336102: BadRequestError, - 336103: BadRequestError, - 336104: BadRequestError, - 336105: BadRequestError, - 336200: InternalServerError, - 336303: BadRequestError, - 337006: BadRequestError, - } - - if code in error_map: - raise error_map[code](msg) - else: - raise InternalServerError(f"Unknown error: {msg}") - - def _get_access_token(self) -> str: - token = BaiduAccessToken.get_access_token(self.api_key, self.secret_key) - return token.access_token diff --git a/api/core/model_runtime/model_providers/wenxin/llm/__init__.py b/api/core/model_runtime/model_providers/wenxin/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-128k.yaml deleted file mode 100644 index b1b1ba1f69a0fb..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-128k.yaml +++ /dev/null @@ -1,37 +0,0 @@ -model: ernie-3.5-128k -label: - en_US: Ernie-3.5-128K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 2 - max: 4096 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-4k-0205.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-4k-0205.yaml deleted file mode 100644 index 1e8cf96440e71e..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-4k-0205.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: ernie-3.5-4k-0205 -label: - en_US: Ernie-3.5-4k-0205 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-0205.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-0205.yaml deleted file mode 100644 index b308abcb323f3d..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-0205.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: ernie-3.5-8k-0205 -label: - en_US: Ernie-3.5-8K-0205 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-1222.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-1222.yaml deleted file mode 100644 index c43588cfe11ea7..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k-1222.yaml +++ /dev/null @@ -1,38 +0,0 @@ -model: ernie-3.5-8k-1222 -label: - en_US: Ernie-3.5-8K-1222 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml deleted file mode 100644 index 145844a4fffe85..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: ernie-3.5-8k -label: - en_US: Ernie-3.5-8K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k-latest.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k-latest.yaml deleted file mode 100644 index d23ae0dc48c12f..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k-latest.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: ernie-4.0-8k-latest -label: - en_US: Ernie-4.0-8K-Latest -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml deleted file mode 100644 index 9ebb5c8c4fe36b..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: ernie-4.0-8k -label: - en_US: Ernie-4.0-8K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-128k.yaml deleted file mode 100644 index f8d56406d91687..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-128k.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: ernie-4.0-turbo-128k -label: - en_US: Ernie-4.0-turbo-128K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 4096 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k-preview.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k-preview.yaml deleted file mode 100644 index 16df54022021b1..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k-preview.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: ernie-4.0-turbo-8k-preview -label: - en_US: Ernie-4.0-turbo-8k-preview -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k.yaml deleted file mode 100644 index 2887a510d05157..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-turbo-8k.yaml +++ /dev/null @@ -1,40 +0,0 @@ -model: ernie-4.0-turbo-8k -label: - en_US: Ernie-4.0-turbo-8K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml deleted file mode 100644 index f352787aecb279..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-4.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: ernie-bot-4 -label: - en_US: Ernie Bot 4 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4800 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - required: true - default: 256 - min: 1 - max: 4800 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml deleted file mode 100644 index fa4b7dd800c11b..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-8k.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: ernie-bot-8k -label: - en_US: Ernie Bot 8k -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - required: true - default: 1024 - min: 1 - max: 8000 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml deleted file mode 100644 index c94aa2db88646a..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot-turbo.yaml +++ /dev/null @@ -1,30 +0,0 @@ -model: ernie-bot-turbo -label: - en_US: Ernie Bot Turbo -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 11200 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - required: true - default: 1024 - min: 1 - max: 11200 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: response_format - use_template: response_format -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml deleted file mode 100644 index 13985b74831e0d..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-bot.yaml +++ /dev/null @@ -1,39 +0,0 @@ -model: ernie-bot -label: - en_US: Ernie Bot -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4800 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: max_tokens - use_template: max_tokens - required: true - default: 256 - min: 1 - max: 4800 - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty - - name: disable_search - label: - zh_Hans: 禁用搜索 - en_US: Disable Search - type: boolean - help: - zh_Hans: 禁用模型自行进行外部搜索。 - en_US: Disable the model to perform external search. - required: false - - name: response_format - use_template: response_format -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k-0321.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k-0321.yaml deleted file mode 100644 index 74451ff9e356e6..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k-0321.yaml +++ /dev/null @@ -1,31 +0,0 @@ -model: ernie-character-8k-0321 -label: - en_US: ERNIE-Character-8K-0321 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 1024 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k.yaml deleted file mode 100644 index 4b11b3e895be9f..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-character-8k.yaml +++ /dev/null @@ -1,30 +0,0 @@ -model: ernie-character-8k-0321 -label: - en_US: ERNIE-Character-8K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 1024 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0308.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0308.yaml deleted file mode 100644 index 97ecb03f87b623..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0308.yaml +++ /dev/null @@ -1,31 +0,0 @@ -model: ernie-lite-8k-0308 -label: - en_US: ERNIE-Lite-8K-0308 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0922.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0922.yaml deleted file mode 100644 index 7410ce51df00ef..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-8k-0922.yaml +++ /dev/null @@ -1,31 +0,0 @@ -model: ernie-lite-8k-0922 -label: - en_US: ERNIE-Lite-8K-0922 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 1024 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 -deprecated: true diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-pro-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-pro-128k.yaml deleted file mode 100644 index 4f5832c8598926..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-pro-128k.yaml +++ /dev/null @@ -1,42 +0,0 @@ -model: ernie-lite-pro-128k -label: - en_US: Ernie-Lite-Pro-128K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.8 - - name: top_p - use_template: top_p - - name: min_output_tokens - label: - en_US: "Min Output Tokens" - zh_Hans: "最小输出Token数" - use_template: max_tokens - min: 2 - max: 2048 - help: - zh_Hans: 指定模型最小输出token数 - en_US: Specifies the lower limit on the length of generated results. - - name: max_output_tokens - label: - en_US: "Max Output Tokens" - zh_Hans: "最大输出Token数" - use_template: max_tokens - min: 2 - max: 2048 - default: 2048 - help: - zh_Hans: 指定模型最大输出token数 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: presence_penalty - use_template: presence_penalty - - name: frequency_penalty - use_template: frequency_penalty diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-128k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-128k.yaml deleted file mode 100644 index 331639624ccbbb..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-128k.yaml +++ /dev/null @@ -1,30 +0,0 @@ -model: ernie-speed-128k -label: - en_US: ERNIE-Speed-128K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 128000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 2 - max: 4096 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-8k.yaml deleted file mode 100644 index 304c6d1f7ed8de..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-8k.yaml +++ /dev/null @@ -1,30 +0,0 @@ -model: ernie-speed-8k -label: - en_US: ERNIE-Speed-8K -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 2 - max: 2048 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-appbuilder.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-appbuilder.yaml deleted file mode 100644 index c254ae02604c7b..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-speed-appbuilder.yaml +++ /dev/null @@ -1,25 +0,0 @@ -model: ernie-speed-appbuilder -label: - en_US: ERNIE-Speed-AppBuilder -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie_bot.py b/api/core/model_runtime/model_providers/wenxin/llm/ernie_bot.py deleted file mode 100644 index d2899795696aa4..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie_bot.py +++ /dev/null @@ -1,246 +0,0 @@ -from collections.abc import Generator -from enum import Enum -from json import dumps, loads -from typing import Any, Optional, Union - -from requests import Response, post - -from core.model_runtime.entities.message_entities import PromptMessageTool -from core.model_runtime.model_providers.wenxin._common import _CommonWenxin -from core.model_runtime.model_providers.wenxin.wenxin_errors import ( - BadRequestError, - InternalServerError, -) - - -class ErnieMessage: - class Role(Enum): - USER = "user" - ASSISTANT = "assistant" - FUNCTION = "function" - SYSTEM = "system" - - role: str = Role.USER.value - content: str - usage: Optional[dict[str, int]] = None - stop_reason: str = "" - - def to_dict(self) -> dict[str, Any]: - return { - "role": self.role, - "content": self.content, - } - - def __init__(self, content: str, role: str = "user") -> None: - self.content = content - self.role = role - - -class ErnieBotModel(_CommonWenxin): - def generate( - self, - model: str, - stream: bool, - messages: list[ErnieMessage], - parameters: dict[str, Any], - timeout: int, - tools: list[PromptMessageTool], - stop: list[str], - user: str, - ) -> Union[Generator[ErnieMessage, None, None], ErnieMessage]: - # check parameters - self._check_parameters(model, parameters, tools, stop) - - # get access token - access_token = self._get_access_token() - - # generate request body - url = f"{self.api_bases[model]}?access_token={access_token}" - - # clone messages - messages_cloned = self._copy_messages(messages=messages) - - # build body - body = self._build_request_body( - model, messages=messages_cloned, stream=stream, parameters=parameters, tools=tools, stop=stop, user=user - ) - headers = { - "Content-Type": "application/json", - } - - resp = post(url=url, data=dumps(body), headers=headers, stream=stream) - - if resp.status_code != 200: - raise InternalServerError(f"Failed to invoke ernie bot: {resp.text}") - - if stream: - return self._handle_chat_stream_generate_response(resp) - return self._handle_chat_generate_response(resp) - - def _copy_messages(self, messages: list[ErnieMessage]) -> list[ErnieMessage]: - return [ErnieMessage(message.content, message.role) for message in messages] - - def _check_parameters( - self, model: str, parameters: dict[str, Any], tools: list[PromptMessageTool], stop: list[str] - ) -> None: - if model not in self.api_bases: - raise BadRequestError(f"Invalid model: {model}") - - # if model not in self.function_calling_supports and tools is not None and len(tools) > 0: - # raise BadRequestError(f'Model {model} does not support calling function.') - # ErnieBot supports function calling, however, there is lots of limitations. - # such as, the messages should be ordered as user by assistant or function... - # so, we just disable function calling for now. - - if tools is not None and len(tools) > 0: - raise BadRequestError("function calling is not supported yet.") - - if stop is not None: - if len(stop) > 4: - raise BadRequestError("stop list should not exceed 4 items.") - - for s in stop: - if len(s) > 20: - raise BadRequestError("stop item should not exceed 20 characters.") - - def _build_request_body( - self, - model: str, - messages: list[ErnieMessage], - stream: bool, - parameters: dict[str, Any], - tools: list[PromptMessageTool], - stop: list[str], - user: str, - ) -> dict[str, Any]: - # if model in self.function_calling_supports: - # return self._build_function_calling_request_body(model, messages, parameters, tools, stop, user) - return self._build_chat_request_body(model, messages, stream, parameters, stop, user) - - def _build_function_calling_request_body( - self, - model: str, - messages: list[ErnieMessage], - stream: bool, - parameters: dict[str, Any], - tools: list[PromptMessageTool], - stop: list[str], - user: str, - ) -> dict[str, Any]: - if len(messages) % 2 == 0: - raise BadRequestError("The number of messages should be odd.") - if messages[0].role == "function": - raise BadRequestError("The first message should be user message.") - - """ - TODO: implement function calling - """ - raise NotImplementedError("Function calling is not supported yet.") - - def _build_chat_request_body( - self, - model: str, - messages: list[ErnieMessage], - stream: bool, - parameters: dict[str, Any], - stop: list[str], - user: str, - ) -> dict[str, Any]: - if len(messages) == 0: - raise BadRequestError("The number of messages should not be zero.") - - # check if the first element is system, shift it - system_message = "" - if messages[0].role == "system": - message = messages.pop(0) - system_message = message.content - - if len(messages) % 2 == 0: - raise BadRequestError("The number of messages should be odd.") - if messages[0].role != "user": - raise BadRequestError("The first message should be user message.") - body = { - "messages": [message.to_dict() for message in messages], - "stream": stream, - "stop": stop, - "user_id": user, - **parameters, - } - - if "max_tokens" in parameters and type(parameters["max_tokens"]) == int: - body["max_output_tokens"] = parameters["max_tokens"] - - if "presence_penalty" in parameters and type(parameters["presence_penalty"]) == float: - body["penalty_score"] = parameters["presence_penalty"] - - if system_message: - body["system"] = system_message - - return body - - def _handle_chat_generate_response(self, response: Response) -> ErnieMessage: - data = response.json() - if "error_code" in data: - code = data["error_code"] - msg = data["error_msg"] - # raise error - self._handle_error(code, msg) - - result = data["result"] - usage = data["usage"] - - message = ErnieMessage(content=result, role="assistant") - message.usage = { - "prompt_tokens": usage["prompt_tokens"], - "completion_tokens": usage["completion_tokens"], - "total_tokens": usage["total_tokens"], - } - - return message - - def _handle_chat_stream_generate_response(self, response: Response) -> Generator[ErnieMessage, None, None]: - for line in response.iter_lines(): - if len(line) == 0: - continue - line = line.decode("utf-8") - if line[0] == "{": - try: - data = loads(line) - if "error_code" in data: - code = data["error_code"] - msg = data["error_msg"] - # raise error - self._handle_error(code, msg) - except Exception as e: - raise InternalServerError(f"Failed to parse response: {e}") - - if line.startswith("data:"): - line = line[5:].strip() - else: - continue - - if not line: - continue - try: - data = loads(line) - except Exception as e: - raise InternalServerError(f"Failed to parse response: {e}") - - result = data["result"] - is_end = data["is_end"] - - if is_end: - usage = data["usage"] - finish_reason = data.get("finish_reason", None) - message = ErnieMessage(content=result, role="assistant") - message.usage = { - "prompt_tokens": usage["prompt_tokens"], - "completion_tokens": usage["completion_tokens"], - "total_tokens": usage["total_tokens"], - } - message.stop_reason = finish_reason - - yield message - else: - message = ErnieMessage(content=result, role="assistant") - yield message diff --git a/api/core/model_runtime/model_providers/wenxin/llm/llm.py b/api/core/model_runtime/model_providers/wenxin/llm/llm.py deleted file mode 100644 index 952cbb33f4b02c..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/llm.py +++ /dev/null @@ -1,316 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union, cast - -from core.model_runtime.callbacks.base_callback import Callback -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.invoke import ( - InvokeError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.wenxin._common import BaiduAccessToken -from core.model_runtime.model_providers.wenxin.llm.ernie_bot import ErnieBotModel, ErnieMessage -from core.model_runtime.model_providers.wenxin.wenxin_errors import invoke_error_mapping - -ERNIE_BOT_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object. -The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure -if you are not sure about the structure. - - -{{instructions}} - - -You should also complete the text started with ``` but not tell ``` directly. -""" # noqa: E501 - - -class ErnieBotLargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - return self._generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ) - - def _code_block_mode_wrapper( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - callbacks: Optional[list[Callback]] = None, - ) -> Union[LLMResult, Generator]: - """ - Code block mode wrapper for invoking large language model - """ - if "response_format" in model_parameters and model_parameters["response_format"] in {"JSON", "XML"}: - response_format = model_parameters["response_format"] - stop = stop or [] - self._transform_json_prompts( - model, credentials, prompt_messages, model_parameters, tools, stop, stream, user, response_format - ) - model_parameters.pop("response_format") - if stream: - return self._code_block_mode_stream_processor( - model=model, - prompt_messages=prompt_messages, - input_generator=self._invoke( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - ), - ) - - return self._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) - - def _transform_json_prompts( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - response_format: str = "JSON", - ) -> None: - """ - Transform json prompts to model prompts - """ - - # check if there is a system message - if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage): - # override the system message - prompt_messages[0] = SystemPromptMessage( - content=ERNIE_BOT_BLOCK_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content).replace( - "{{block}}", response_format - ) - ) - else: - # insert the system message - prompt_messages.insert( - 0, - SystemPromptMessage( - content=ERNIE_BOT_BLOCK_MODE_PROMPT.replace( - "{{instructions}}", f"Please output a valid {response_format} object." - ).replace("{{block}}", response_format) - ), - ) - - if len(prompt_messages) > 0 and isinstance(prompt_messages[-1], UserPromptMessage): - # add ```JSON\n to the last message - prompt_messages[-1].content += "\n```JSON\n{\n" - else: - # append a user message - prompt_messages.append(UserPromptMessage(content="```JSON\n{\n")) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - # tools is not supported yet - return self._num_tokens_from_messages(prompt_messages) - - def _num_tokens_from_messages( - self, - messages: list[PromptMessage], - ) -> int: - """Calculate num tokens for baichuan model""" - - def tokens(text: str): - return self._get_num_tokens_by_gpt2(text) - - tokens_per_message = 3 - - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - num_tokens += tokens(str(value)) - num_tokens += 3 - - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - api_key = credentials["api_key"] - secret_key = credentials["secret_key"] - try: - BaiduAccessToken.get_access_token(api_key, secret_key) - except Exception as e: - raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - instance = ErnieBotModel( - api_key=credentials["api_key"], - secret_key=credentials["secret_key"], - ) - - user = user or "ErnieBotDefault" - - # convert prompt messages to baichuan messages - messages = [ - ErnieMessage( - content=message.content - if isinstance(message.content, str) - else "".join([content.data for content in message.content]), - role=message.role.value, - ) - for message in prompt_messages - ] - - # invoke model - response = instance.generate( - model=model, - stream=stream, - messages=messages, - parameters=model_parameters, - timeout=60, - tools=tools, - stop=stop, - user=user, - ) - - if stream: - return self._handle_chat_generate_stream_response(model, prompt_messages, credentials, response) - else: - return self._handle_chat_generate_response(model, prompt_messages, credentials, response) - - def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict for Baichuan - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - raise ValueError("User message content must be str") - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - else: - raise ValueError(f"Unknown message type {type(message)}") - - return message_dict - - def _handle_chat_generate_response( - self, model: str, prompt_messages: list[PromptMessage], credentials: dict, response: ErnieMessage - ) -> LLMResult: - # convert baichuan message to llm result - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=response.usage["prompt_tokens"], - completion_tokens=response.usage["completion_tokens"], - ) - return LLMResult( - model=model, - prompt_messages=prompt_messages, - message=AssistantPromptMessage(content=response.content, tool_calls=[]), - usage=usage, - ) - - def _handle_chat_generate_stream_response( - self, - model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Generator[ErnieMessage, None, None], - ) -> Generator: - for message in response: - if message.usage: - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=message.usage["prompt_tokens"], - completion_tokens=message.usage["completion_tokens"], - ) - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=message.content, tool_calls=[]), - usage=usage, - finish_reason=message.stop_reason or None, - ), - ) - else: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - delta=LLMResultChunkDelta( - index=0, - message=AssistantPromptMessage(content=message.content, tool_calls=[]), - finish_reason=message.stop_reason or None, - ), - ) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return invoke_error_mapping() diff --git a/api/core/model_runtime/model_providers/wenxin/llm/yi_34b_chat.yaml b/api/core/model_runtime/model_providers/wenxin/llm/yi_34b_chat.yaml deleted file mode 100644 index 0b247fbd223dac..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/llm/yi_34b_chat.yaml +++ /dev/null @@ -1,30 +0,0 @@ -model: yi_34b_chat -label: - en_US: yi_34b_chat -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 32000 -parameter_rules: - - name: temperature - use_template: temperature - min: 0.1 - max: 1.0 - default: 0.95 - - name: top_p - use_template: top_p - min: 0 - max: 1.0 - default: 0.7 - - name: max_tokens - use_template: max_tokens - default: 4096 - min: 2 - max: 4096 - - name: presence_penalty - use_template: presence_penalty - default: 1.0 - min: 1.0 - max: 2.0 diff --git a/api/core/model_runtime/model_providers/wenxin/rerank/__init__.py b/api/core/model_runtime/model_providers/wenxin/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/wenxin/rerank/bce-reranker-base_v1.yaml b/api/core/model_runtime/model_providers/wenxin/rerank/bce-reranker-base_v1.yaml deleted file mode 100644 index ef4b07d7678702..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/rerank/bce-reranker-base_v1.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: bce-reranker-base_v1 -model_type: rerank -model_properties: - context_size: 4096 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py b/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py deleted file mode 100644 index 1c7b9490185337..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py +++ /dev/null @@ -1,135 +0,0 @@ -from typing import Optional - -import httpx - -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import InvokeError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel -from core.model_runtime.model_providers.wenxin._common import _CommonWenxin -from core.model_runtime.model_providers.wenxin.wenxin_errors import ( - InternalServerError, - invoke_error_mapping, -) - - -class WenxinRerank(_CommonWenxin): - def rerank(self, model: str, query: str, docs: list[str], top_n: Optional[int] = None): - access_token = self._get_access_token() - url = f"{self.api_bases[model]}?access_token={access_token}" - # For issue #11252 - # for wenxin Rerank model top_n length should be equal or less than docs length - if top_n is not None and top_n > len(docs): - top_n = len(docs) - # for wenxin Rerank model, query should not be an empty string - if query == "": - query = " " # FIXME: this is a workaround for wenxin rerank model for better user experience. - try: - response = httpx.post( - url, - json={"model": model, "query": query, "documents": docs, "top_n": top_n}, - headers={"Content-Type": "application/json"}, - ) - response.raise_for_status() - data = response.json() - # wenxin error handling - if "error_code" in data: - raise InternalServerError(data["error_msg"]) - return data - except httpx.HTTPStatusError as e: - raise InternalServerError(str(e)) - - -class WenxinRerankModel(RerankModel): - """ - Model class for wenxin rerank model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n documents to return - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - api_key = credentials["api_key"] - secret_key = credentials["secret_key"] - - wenxin_rerank: WenxinRerank = WenxinRerank(api_key, secret_key) - - try: - results = wenxin_rerank.rerank(model, query, docs, top_n) - - rerank_documents = [] - if "results" not in results: - raise ValueError("results key not found in response") - - for result in results["results"]: - index = result["index"] - if "document" in result: - text = result["document"] - else: - # llama.cpp rerank maynot return original documents - text = docs[index] - - rerank_document = RerankDocument( - index=index, - text=text, - score=result["relevance_score"], - ) - - if score_threshold is None or result["relevance_score"] >= score_threshold: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - except httpx.HTTPStatusError as e: - raise InternalServerError(str(e)) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - self._invoke( - model=model, - credentials=credentials, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - """ - return invoke_error_mapping() diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/__init__.py b/api/core/model_runtime/model_providers/wenxin/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-en.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-en.yaml deleted file mode 100644 index 74fadb7f9de60f..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-en.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: bge-large-en -model_type: text-embedding -model_properties: - context_size: 512 - max_chunks: 16 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-zh.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-zh.yaml deleted file mode 100644 index d4af27ec389a66..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/text_embedding/bge-large-zh.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: bge-large-zh -model_type: text-embedding -model_properties: - context_size: 512 - max_chunks: 16 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/embedding-v1.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/embedding-v1.yaml deleted file mode 100644 index eda48d965533e5..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/text_embedding/embedding-v1.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: embedding-v1 -model_type: text-embedding -model_properties: - context_size: 384 - max_chunks: 16 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/tao-8k.yaml b/api/core/model_runtime/model_providers/wenxin/text_embedding/tao-8k.yaml deleted file mode 100644 index e28f253eb6b861..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/text_embedding/tao-8k.yaml +++ /dev/null @@ -1,9 +0,0 @@ -model: tao-8k -model_type: text-embedding -model_properties: - context_size: 8192 - max_chunks: 1 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/wenxin/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/wenxin/text_embedding/text_embedding.py deleted file mode 100644 index 816b3b98c4b8c5..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/text_embedding/text_embedding.py +++ /dev/null @@ -1,186 +0,0 @@ -import time -from abc import abstractmethod -from json import dumps -from typing import Any, Optional - -import numpy as np -from requests import Response, post - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import InvokeError -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.wenxin._common import BaiduAccessToken, _CommonWenxin -from core.model_runtime.model_providers.wenxin.wenxin_errors import ( - BadRequestError, - InternalServerError, - invoke_error_mapping, -) - - -class TextEmbedding: - @abstractmethod - def embed_documents(self, model: str, texts: list[str], user: str) -> tuple[list[list[float]], int, int]: - raise NotImplementedError - - -class WenxinTextEmbedding(_CommonWenxin, TextEmbedding): - def embed_documents(self, model: str, texts: list[str], user: str) -> tuple[list[list[float]], int, int]: - access_token = self._get_access_token() - url = f"{self.api_bases[model]}?access_token={access_token}" - body = self._build_embed_request_body(model, texts, user) - headers = { - "Content-Type": "application/json", - } - - resp = post(url, data=dumps(body), headers=headers) - if resp.status_code != 200: - raise InternalServerError(f"Failed to invoke ernie bot: {resp.text}") - return self._handle_embed_response(model, resp) - - def _build_embed_request_body(self, model: str, texts: list[str], user: str) -> dict[str, Any]: - if len(texts) == 0: - raise BadRequestError("The number of texts should not be zero.") - body = { - "input": texts, - "user_id": user, - } - return body - - def _handle_embed_response(self, model: str, response: Response) -> tuple[list[list[float]], int, int]: - data = response.json() - if "error_code" in data: - code = data["error_code"] - msg = data["error_msg"] - # raise error - self._handle_error(code, msg) - - embeddings = [v["embedding"] for v in data["data"]] - _usage = data["usage"] - tokens = _usage["prompt_tokens"] - total_tokens = _usage["total_tokens"] - - return embeddings, tokens, total_tokens - - -class WenxinTextEmbeddingModel(TextEmbeddingModel): - def _create_text_embedding(self, api_key: str, secret_key: str) -> TextEmbedding: - return WenxinTextEmbedding(api_key, secret_key) - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - - api_key = credentials["api_key"] - secret_key = credentials["secret_key"] - embedding: TextEmbedding = self._create_text_embedding(api_key, secret_key) - user = user or "ErnieBotDefault" - - context_size = self._get_context_size(model, credentials) - max_chunks = self._get_max_chunks(model, credentials) - inputs = [] - indices = [] - used_tokens = 0 - used_total_tokens = 0 - - for i, text in enumerate(texts): - # Here token count is only an approximation based on the GPT2 tokenizer - num_tokens = self._get_num_tokens_by_gpt2(text) - - if num_tokens >= context_size: - cutoff = int(np.floor(len(text) * (context_size / num_tokens))) - # if num tokens is larger than context length, only use the start - inputs.append(text[0:cutoff]) - else: - inputs.append(text) - indices += [i] - - batched_embeddings = [] - _iter = range(0, len(inputs), max_chunks) - for i in _iter: - embeddings_batch, _used_tokens, _total_used_tokens = embedding.embed_documents( - model, inputs[i : i + max_chunks], user - ) - used_tokens += _used_tokens - used_total_tokens += _total_used_tokens - batched_embeddings += embeddings_batch - - usage = self._calc_response_usage(model, credentials, used_tokens, used_total_tokens) - return TextEmbeddingResult( - model=model, - embeddings=batched_embeddings, - usage=usage, - ) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - if len(texts) == 0: - return 0 - total_num_tokens = 0 - for text in texts: - total_num_tokens += self._get_num_tokens_by_gpt2(text) - - return total_num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - api_key = credentials["api_key"] - secret_key = credentials["secret_key"] - try: - BaiduAccessToken.get_access_token(api_key, secret_key) - except Exception as e: - raise CredentialsValidateFailedError(f"Credentials validation failed: {e}") - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return invoke_error_mapping() - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int, total_tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=total_tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/wenxin/wenxin.py b/api/core/model_runtime/model_providers/wenxin/wenxin.py deleted file mode 100644 index 895af20bc8541d..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/wenxin.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class WenxinProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `ernie-bot` model for validate, - model_instance.validate_credentials(model="ernie-bot", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/wenxin/wenxin.yaml b/api/core/model_runtime/model_providers/wenxin/wenxin.yaml deleted file mode 100644 index d8acfd8120a954..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/wenxin.yaml +++ /dev/null @@ -1,41 +0,0 @@ -provider: wenxin -label: - en_US: WenXin - zh_Hans: 文心一言 -icon_small: - en_US: icon_s_en.png - zh_Hans: icon_s_en.png -icon_large: - en_US: icon_l_en.png - zh_Hans: icon_l_zh.png -background: "#E8F5FE" -help: - title: - en_US: Get your API Key from WenXin - zh_Hans: 从文心一言获取您的 API Key - url: - en_US: https://cloud.baidu.com/wenxin.html -supported_model_types: - - llm - - text-embedding - - rerank -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: secret_key - label: - en_US: Secret Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 Secret Key - en_US: Enter your Secret Key diff --git a/api/core/model_runtime/model_providers/wenxin/wenxin_errors.py b/api/core/model_runtime/model_providers/wenxin/wenxin_errors.py deleted file mode 100644 index bd074e047717ac..00000000000000 --- a/api/core/model_runtime/model_providers/wenxin/wenxin_errors.py +++ /dev/null @@ -1,54 +0,0 @@ -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) - - -def invoke_error_mapping() -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [InternalServerError], - InvokeRateLimitError: [RateLimitReachedError], - InvokeAuthorizationError: [ - InvalidAuthenticationError, - InsufficientAccountBalanceError, - InvalidAPIKeyError, - ], - InvokeBadRequestError: [BadRequestError, KeyError], - } - - -class InvalidAuthenticationError(Exception): - pass - - -class InvalidAPIKeyError(Exception): - pass - - -class RateLimitReachedError(Exception): - pass - - -class InsufficientAccountBalanceError(Exception): - pass - - -class InternalServerError(Exception): - pass - - -class BadRequestError(Exception): - pass diff --git a/api/core/model_runtime/model_providers/x/__init__.py b/api/core/model_runtime/model_providers/x/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg b/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg deleted file mode 100644 index f8b745cb13defc..00000000000000 --- a/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/x/llm/__init__.py b/api/core/model_runtime/model_providers/x/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml b/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml deleted file mode 100644 index 24ea716a985d32..00000000000000 --- a/api/core/model_runtime/model_providers/x/llm/grok-2-1212.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: grok-2-1212 -label: - en_US: grok-2-1212 -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - label: - en_US: "Temperature" - zh_Hans: "采样温度" - type: float - default: 0.7 - min: 0.0 - max: 2.0 - precision: 1 - required: true - help: - en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: top_p - label: - en_US: "Top P" - zh_Hans: "Top P" - type: float - default: 0.7 - min: 0.0 - max: 1.0 - precision: 1 - required: true - help: - en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: frequency_penalty - use_template: frequency_penalty - label: - en_US: "Frequency Penalty" - zh_Hans: "频率惩罚" - type: float - default: 0 - min: 0 - max: 2.0 - precision: 1 - required: false - help: - en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim." - zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。" - - - name: user - use_template: text - label: - en_US: "User" - zh_Hans: "用户" - type: string - required: false - help: - en_US: "Used to track and differentiate conversation requests from different users." - zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml b/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml deleted file mode 100644 index f224fa57573c42..00000000000000 --- a/api/core/model_runtime/model_providers/x/llm/grok-2-vision-1212.yaml +++ /dev/null @@ -1,64 +0,0 @@ -model: grok-2-vision-1212 -label: - en_US: grok-2-vision-1212 -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - label: - en_US: "Temperature" - zh_Hans: "采样温度" - type: float - default: 0.7 - min: 0.0 - max: 2.0 - precision: 1 - required: true - help: - en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: top_p - label: - en_US: "Top P" - zh_Hans: "Top P" - type: float - default: 0.7 - min: 0.0 - max: 1.0 - precision: 1 - required: true - help: - en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: frequency_penalty - use_template: frequency_penalty - label: - en_US: "Frequency Penalty" - zh_Hans: "频率惩罚" - type: float - default: 0 - min: 0 - max: 2.0 - precision: 1 - required: false - help: - en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim." - zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。" - - - name: user - use_template: text - label: - en_US: "User" - zh_Hans: "用户" - type: string - required: false - help: - en_US: "Used to track and differentiate conversation requests from different users." - zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml b/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml deleted file mode 100644 index 7f722539d9cfed..00000000000000 --- a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: grok-beta -label: - en_US: grok-beta -model_type: llm -features: - - agent-thought - - tool-call - - multi-tool-call - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - label: - en_US: "Temperature" - zh_Hans: "采样温度" - type: float - default: 0.7 - min: 0.0 - max: 2.0 - precision: 1 - required: true - help: - en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: top_p - label: - en_US: "Top P" - zh_Hans: "Top P" - type: float - default: 0.7 - min: 0.0 - max: 1.0 - precision: 1 - required: true - help: - en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: frequency_penalty - use_template: frequency_penalty - label: - en_US: "Frequency Penalty" - zh_Hans: "频率惩罚" - type: float - default: 0 - min: 0 - max: 2.0 - precision: 1 - required: false - help: - en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim." - zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。" - - - name: user - use_template: text - label: - en_US: "User" - zh_Hans: "用户" - type: string - required: false - help: - en_US: "Used to track and differentiate conversation requests from different users." - zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml b/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml deleted file mode 100644 index 1d8128253400d7..00000000000000 --- a/api/core/model_runtime/model_providers/x/llm/grok-vision-beta.yaml +++ /dev/null @@ -1,64 +0,0 @@ -model: grok-vision-beta -label: - en_US: grok-vision-beta -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - label: - en_US: "Temperature" - zh_Hans: "采样温度" - type: float - default: 0.7 - min: 0.0 - max: 2.0 - precision: 1 - required: true - help: - en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: top_p - label: - en_US: "Top P" - zh_Hans: "Top P" - type: float - default: 0.7 - min: 0.0 - max: 1.0 - precision: 1 - required: true - help: - en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: frequency_penalty - use_template: frequency_penalty - label: - en_US: "Frequency Penalty" - zh_Hans: "频率惩罚" - type: float - default: 0 - min: 0 - max: 2.0 - precision: 1 - required: false - help: - en_US: "Number between 0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim." - zh_Hans: "介于0和2.0之间的数字。正值会根据新标记在文本中迄今为止的现有频率来惩罚它们，从而降低模型一字不差地重复同一句话的可能性。" - - - name: user - use_template: text - label: - en_US: "User" - zh_Hans: "用户" - type: string - required: false - help: - en_US: "Used to track and differentiate conversation requests from different users." - zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/x/llm/llm.py b/api/core/model_runtime/model_providers/x/llm/llm.py deleted file mode 100644 index eacd086fee9d8d..00000000000000 --- a/api/core/model_runtime/model_providers/x/llm/llm.py +++ /dev/null @@ -1,39 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from yarl import URL - -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult -from core.model_runtime.entities.message_entities import ( - PromptMessage, - PromptMessageTool, -) -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class XAILargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - @staticmethod - def _add_custom_parameters(credentials) -> None: - credentials["endpoint_url"] = str(URL(credentials["endpoint_url"])) or "https://api.x.ai/v1" - credentials["mode"] = LLMMode.CHAT.value - credentials["function_calling_type"] = "tool_call" - credentials["stream_function_calling"] = "support" - credentials["vision_support"] = "support" diff --git a/api/core/model_runtime/model_providers/x/x.py b/api/core/model_runtime/model_providers/x/x.py deleted file mode 100644 index e3f2b8eeba3ead..00000000000000 --- a/api/core/model_runtime/model_providers/x/x.py +++ /dev/null @@ -1,25 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class XAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - model_instance.validate_credentials(model="grok-beta", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/x/x.yaml b/api/core/model_runtime/model_providers/x/x.yaml deleted file mode 100644 index 90d1cbfe7e6983..00000000000000 --- a/api/core/model_runtime/model_providers/x/x.yaml +++ /dev/null @@ -1,38 +0,0 @@ -provider: x -label: - en_US: xAI -description: - en_US: xAI is a company working on building artificial intelligence to accelerate human scientific discovery. We are guided by our mission to advance our collective understanding of the universe. -icon_small: - en_US: x-ai-logo.svg -icon_large: - en_US: x-ai-logo.svg -help: - title: - en_US: Get your token from xAI - zh_Hans: 从 xAI 获取 token - url: - en_US: https://x.ai/api -supported_model_types: - - llm -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: endpoint_url - label: - en_US: API Base - type: text-input - required: false - default: https://api.x.ai/v1 - placeholder: - zh_Hans: 在此输入您的 API Base - en_US: Enter your API Base diff --git a/api/core/model_runtime/model_providers/xinference/__init__.py b/api/core/model_runtime/model_providers/xinference/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/xinference/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/xinference/_assets/icon_l_en.svg deleted file mode 100644 index 8109176543385c..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/_assets/icon_l_en.svg +++ /dev/null @@ -1,42 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/xinference/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/xinference/_assets/icon_s_en.svg deleted file mode 100644 index f5c5f75ea817ff..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/_assets/icon_s_en.svg +++ /dev/null @@ -1,24 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/api/core/model_runtime/model_providers/xinference/llm/__init__.py b/api/core/model_runtime/model_providers/xinference/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/xinference/llm/llm.py b/api/core/model_runtime/model_providers/xinference/llm/llm.py deleted file mode 100644 index 7c77f7a0e10575..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/llm/llm.py +++ /dev/null @@ -1,822 +0,0 @@ -from collections.abc import Generator, Iterator -from typing import Optional, cast - -from openai import ( - APIConnectionError, - APITimeoutError, - AuthenticationError, - ConflictError, - InternalServerError, - NotFoundError, - OpenAI, - PermissionDeniedError, - RateLimitError, - UnprocessableEntityError, -) -from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessageToolCall -from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, ChoiceDeltaToolCall -from openai.types.chat.chat_completion_message import FunctionCall -from openai.types.completion import Completion -from xinference_client.client.restful.restful_client import ( # type: ignore - Client, - RESTfulChatModelHandle, - RESTfulGenerateModelHandle, -) - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessage, - PromptMessageContent, - PromptMessageContentType, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - DefaultParameterName, - FetchFrom, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.xinference.xinference_helper import ( - XinferenceHelper, - XinferenceModelExtraParameter, - validate_model_uid, -) -from core.model_runtime.utils import helper - -DEFAULT_MAX_RETRIES = 3 -DEFAULT_INVOKE_TIMEOUT = 60 - - -class XinferenceAILargeLanguageModel(LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - """ - invoke LLM - - see `core.model_runtime.model_providers.__base.large_language_model.LargeLanguageModel._invoke` - """ - if "temperature" in model_parameters: - if model_parameters["temperature"] < 0.01: - model_parameters["temperature"] = 0.01 - elif model_parameters["temperature"] > 1.0: - model_parameters["temperature"] = 0.99 - - return self._generate( - model=model, - credentials=credentials, - prompt_messages=prompt_messages, - model_parameters=model_parameters, - tools=tools, - stop=stop, - stream=stream, - user=user, - extra_model_kwargs=XinferenceHelper.get_xinference_extra_parameter( - server_url=credentials["server_url"], - model_uid=credentials["model_uid"], - api_key=credentials.get("api_key"), - ), - ) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - validate credentials - - credentials should be like: - { - 'model_type': 'text-generation', - 'server_url': 'server url', - 'model_uid': 'model uid', - } - """ - try: - if not validate_model_uid(credentials): - raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") - - extra_param = XinferenceHelper.get_xinference_extra_parameter( - server_url=credentials["server_url"], - model_uid=credentials["model_uid"], - api_key=credentials.get("api_key"), - ) - if "completion_type" not in credentials: - if "chat" in extra_param.model_ability: - credentials["completion_type"] = "chat" - elif "generate" in extra_param.model_ability: - credentials["completion_type"] = "completion" - else: - raise ValueError( - f"xinference model ability {extra_param.model_ability} is not supported," - f" check if you have the right model type" - ) - - if extra_param.support_function_call: - credentials["support_function_call"] = True - - if extra_param.support_vision: - credentials["support_vision"] = True - - if extra_param.context_length: - credentials["context_length"] = extra_param.context_length - - except RuntimeError as e: - raise CredentialsValidateFailedError(f"Xinference credentials validate failed: {e}") - except KeyError as e: - raise CredentialsValidateFailedError(f"Xinference credentials validate failed: {e}") - except Exception as e: - raise e - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool] | None = None, - ) -> int: - """ - get number of tokens - - cause XinferenceAI LLM is a customized model, we could net detect which tokenizer to use - so we just take the GPT2 tokenizer as default - """ - return self._num_tokens_from_messages(prompt_messages, tools) - - def _num_tokens_from_messages( - self, messages: list[PromptMessage], tools: list[PromptMessageTool], is_completion_model: bool = False - ) -> int: - def tokens(text: str): - return self._get_num_tokens_by_gpt2(text) - - if is_completion_model: - return sum(tokens(str(message.content)) for message in messages) - - tokens_per_message = 3 - tokens_per_name = 1 - - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += tokens(t_key) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += tokens(f_key) - num_tokens += tokens(f_value) - else: - num_tokens += tokens(t_key) - num_tokens += tokens(t_value) - if key == "function_call": - for t_key, t_value in value.items(): - num_tokens += tokens(t_key) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += tokens(f_key) - num_tokens += tokens(f_value) - else: - num_tokens += tokens(t_key) - num_tokens += tokens(t_value) - else: - num_tokens += tokens(str(value)) - - if key == "name": - num_tokens += tokens_per_name - num_tokens += 3 - - if tools: - num_tokens += self._num_tokens_for_tools(tools) - - return num_tokens - - def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int: - """ - Calculate num tokens for tool calling - - :param encoding: encoding - :param tools: tools for tool calling - :return: number of tokens - """ - - def tokens(text: str): - return self._get_num_tokens_by_gpt2(text) - - num_tokens = 0 - for tool in tools: - # calculate num tokens for function object - num_tokens += tokens("name") - num_tokens += tokens(tool.name) - num_tokens += tokens("description") - num_tokens += tokens(tool.description) - parameters = tool.parameters - num_tokens += tokens("parameters") - num_tokens += tokens("type") - num_tokens += tokens(parameters.get("type")) - if "properties" in parameters: - num_tokens += tokens("properties") - for key, value in parameters.get("properties").items(): - num_tokens += tokens(key) - for field_key, field_value in value.items(): - num_tokens += tokens(field_key) - if field_key == "enum": - for enum_field in field_value: - num_tokens += 3 - num_tokens += tokens(enum_field) - else: - num_tokens += tokens(field_key) - num_tokens += tokens(str(field_value)) - if "required" in parameters: - num_tokens += tokens("required") - for required_field in parameters["required"]: - num_tokens += 3 - num_tokens += tokens(required_field) - - return num_tokens - - def _convert_prompt_message_to_text(self, message: list[PromptMessage]) -> str: - """ - convert prompt message to text - """ - text = "" - for item in message: - if isinstance(item, UserPromptMessage | SystemPromptMessage | AssistantPromptMessage): - text += item.content - else: - raise NotImplementedError(f"PromptMessage type {type(item)} is not supported") - return text - - def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: - """ - Convert PromptMessage to dict for OpenAI Compatibility API - """ - if isinstance(message, UserPromptMessage): - message = cast(UserPromptMessage, message) - if isinstance(message.content, str): - message_dict = {"role": "user", "content": message.content} - else: - sub_messages = [] - for message_content in message.content: - if message_content.type == PromptMessageContentType.TEXT: - message_content = cast(PromptMessageContent, message_content) - sub_message_dict = {"type": "text", "text": message_content.data} - sub_messages.append(sub_message_dict) - elif message_content.type == PromptMessageContentType.IMAGE: - message_content = cast(ImagePromptMessageContent, message_content) - sub_message_dict = { - "type": "image_url", - "image_url": {"url": message_content.data, "detail": message_content.detail.value}, - } - sub_messages.append(sub_message_dict) - message_dict = {"role": "user", "content": sub_messages} - elif isinstance(message, AssistantPromptMessage): - message = cast(AssistantPromptMessage, message) - message_dict = {"role": "assistant", "content": message.content} - if message.tool_calls and len(message.tool_calls) > 0: - message_dict["function_call"] = { - "name": message.tool_calls[0].function.name, - "arguments": message.tool_calls[0].function.arguments, - } - elif isinstance(message, SystemPromptMessage): - message = cast(SystemPromptMessage, message) - message_dict = {"role": "system", "content": message.content} - elif isinstance(message, ToolPromptMessage): - message = cast(ToolPromptMessage, message) - message_dict = { - "tool_call_id": message.tool_call_id, - "role": "tool", - "content": message.content, - "name": message.name, - } - else: - raise ValueError(f"Unknown message type {type(message)}") - - return message_dict - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - rules = [ - ParameterRule( - name="temperature", - type=ParameterType.FLOAT, - use_template="temperature", - label=I18nObject(zh_Hans="温度", en_US="Temperature"), - ), - ParameterRule( - name="top_p", - type=ParameterType.FLOAT, - use_template="top_p", - label=I18nObject(zh_Hans="Top P", en_US="Top P"), - ), - ParameterRule( - name="max_tokens", - type=ParameterType.INT, - use_template="max_tokens", - min=1, - max=credentials.get("context_length", 2048), - default=512, - label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"), - ), - ParameterRule( - name=DefaultParameterName.PRESENCE_PENALTY, - use_template=DefaultParameterName.PRESENCE_PENALTY, - type=ParameterType.FLOAT, - label=I18nObject( - en_US="Presence Penalty", - zh_Hans="存在惩罚", - ), - required=False, - help=I18nObject( - en_US="Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they " - "appear in the text so far, increasing the model's likelihood to talk about new topics.", - zh_Hans="介于 -2.0 和 2.0 之间的数字。正值会根据新词是否已出现在文本中对其进行惩罚，" - "从而增加模型谈论新话题的可能性。", - ), - default=0.0, - min=-2.0, - max=2.0, - precision=2, - ), - ParameterRule( - name=DefaultParameterName.FREQUENCY_PENALTY, - use_template=DefaultParameterName.FREQUENCY_PENALTY, - type=ParameterType.FLOAT, - label=I18nObject( - en_US="Frequency Penalty", - zh_Hans="频率惩罚", - ), - required=False, - help=I18nObject( - en_US="Number between -2.0 and 2.0. Positive values penalize new tokens based on their " - "existing frequency in the text so far, decreasing the model's likelihood to repeat the " - "same line verbatim.", - zh_Hans="介于 -2.0 和 2.0 之间的数字。正值会根据新词在文本中的现有频率对其进行惩罚，" - "从而降低模型逐字重复相同内容的可能性。", - ), - default=0.0, - min=-2.0, - max=2.0, - precision=2, - ), - ] - - completion_type = None - - if "completion_type" in credentials: - if credentials["completion_type"] == "chat": - completion_type = LLMMode.CHAT.value - elif credentials["completion_type"] == "completion": - completion_type = LLMMode.COMPLETION.value - else: - raise ValueError(f"completion_type {credentials['completion_type']} is not supported") - else: - extra_args = XinferenceHelper.get_xinference_extra_parameter( - server_url=credentials["server_url"], - model_uid=credentials["model_uid"], - api_key=credentials.get("api_key"), - ) - - if "chat" in extra_args.model_ability: - completion_type = LLMMode.CHAT.value - elif "generate" in extra_args.model_ability: - completion_type = LLMMode.COMPLETION.value - else: - raise ValueError(f"xinference model ability {extra_args.model_ability} is not supported") - - features = [] - - support_function_call = credentials.get("support_function_call", False) - if support_function_call: - features.append(ModelFeature.TOOL_CALL) - - support_vision = credentials.get("support_vision", False) - if support_vision: - features.append(ModelFeature.VISION) - - context_length = credentials.get("context_length", 2048) - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.LLM, - features=features, - model_properties={ModelPropertyKey.MODE: completion_type, ModelPropertyKey.CONTEXT_SIZE: context_length}, - parameter_rules=rules, - ) - - return entity - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - extra_model_kwargs: XinferenceModelExtraParameter, - tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, - stream: bool = True, - user: str | None = None, - ) -> LLMResult | Generator: - """ - generate text from LLM - - see `core.model_runtime.model_providers.__base.large_language_model.LargeLanguageModel._generate` - - extra_model_kwargs can be got by `XinferenceHelper.get_xinference_extra_parameter` - """ - if "server_url" not in credentials: - raise CredentialsValidateFailedError("server_url is required in credentials") - - credentials["server_url"] = credentials["server_url"].removesuffix("/") - - api_key = credentials.get("api_key") or "abc" - - client = OpenAI( - base_url=f"{credentials['server_url']}/v1", - api_key=api_key, - max_retries=int(credentials.get("max_retries") or DEFAULT_MAX_RETRIES), - timeout=int(credentials.get("invoke_timeout") or DEFAULT_INVOKE_TIMEOUT), - ) - - xinference_client = Client( - base_url=credentials["server_url"], - api_key=credentials.get("api_key"), - ) - - xinference_model = xinference_client.get_model(credentials["model_uid"]) - - generate_config = { - "temperature": model_parameters.get("temperature", 1.0), - "top_p": model_parameters.get("top_p", 0.7), - "max_tokens": model_parameters.get("max_tokens", 512), - "presence_penalty": model_parameters.get("presence_penalty", 0.0), - "frequency_penalty": model_parameters.get("frequency_penalty", 0.0), - } - - if stop: - generate_config["stop"] = stop - - if tools and len(tools) > 0: - generate_config["tools"] = [{"type": "function", "function": helper.dump_model(tool)} for tool in tools] - vision = credentials.get("support_vision", False) - if isinstance(xinference_model, RESTfulChatModelHandle): - resp = client.chat.completions.create( - model=credentials["model_uid"], - messages=[self._convert_prompt_message_to_dict(message) for message in prompt_messages], - stream=stream, - user=user, - **generate_config, - ) - if stream: - if tools and len(tools) > 0: - raise InvokeBadRequestError("xinference tool calls does not support stream mode") - return self._handle_chat_stream_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp - ) - return self._handle_chat_generate_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp - ) - elif isinstance(xinference_model, RESTfulGenerateModelHandle): - resp = client.completions.create( - model=credentials["model_uid"], - prompt=self._convert_prompt_message_to_text(prompt_messages), - stream=stream, - user=user, - **generate_config, - ) - if stream: - return self._handle_completion_stream_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp - ) - return self._handle_completion_generate_response( - model=model, credentials=credentials, prompt_messages=prompt_messages, tools=tools, resp=resp - ) - else: - raise NotImplementedError(f"xinference model handle type {type(xinference_model)} is not supported") - - def _extract_response_tool_calls( - self, response_tool_calls: list[ChatCompletionMessageToolCall | ChoiceDeltaToolCall] - ) -> list[AssistantPromptMessage.ToolCall]: - """ - Extract tool calls from response - - :param response_tool_calls: response tool calls - :return: list of tool calls - """ - tool_calls = [] - if response_tool_calls: - for response_tool_call in response_tool_calls: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_tool_call.function.name, arguments=response_tool_call.function.arguments - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_tool_call.id, type=response_tool_call.type, function=function - ) - tool_calls.append(tool_call) - - return tool_calls - - def _extract_response_function_call( - self, response_function_call: FunctionCall | ChoiceDeltaFunctionCall - ) -> AssistantPromptMessage.ToolCall: - """ - Extract function call from response - - :param response_function_call: response function call - :return: tool call - """ - tool_call = None - if response_function_call: - function = AssistantPromptMessage.ToolCall.ToolCallFunction( - name=response_function_call.name, arguments=response_function_call.arguments - ) - - tool_call = AssistantPromptMessage.ToolCall( - id=response_function_call.name, type="function", function=function - ) - - return tool_call - - def _handle_chat_generate_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: ChatCompletion, - ) -> LLMResult: - """ - handle normal chat generate response - """ - if len(resp.choices) == 0: - raise InvokeServerUnavailableError("Empty response") - - assistant_message = resp.choices[0].message - - # convert tool call to assistant message tool call - tool_calls = assistant_message.tool_calls - assistant_prompt_message_tool_calls = self._extract_response_tool_calls(tool_calls or []) - function_call = assistant_message.function_call - if function_call: - assistant_prompt_message_tool_calls += [self._extract_response_function_call(function_call)] - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=assistant_message.content, tool_calls=assistant_prompt_message_tool_calls - ) - - prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) - completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools) - - usage = self._calc_response_usage( - model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens - ) - - response = LLMResult( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=resp.system_fingerprint, - usage=usage, - message=assistant_prompt_message, - ) - - return response - - def _handle_chat_stream_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: Iterator[ChatCompletionChunk], - ) -> Generator: - """ - handle stream chat generate response - """ - full_response = "" - for chunk in resp: - if len(chunk.choices) == 0: - continue - delta = chunk.choices[0] - if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""): - continue - delta_content = delta.delta.content or "" - # check if there is a tool call in the response - function_call = None - tool_calls = [] - if delta.delta.tool_calls: - tool_calls += delta.delta.tool_calls - if delta.delta.function_call: - function_call = delta.delta.function_call - - assistant_message_tool_calls = self._extract_response_tool_calls(tool_calls) - if function_call: - assistant_message_tool_calls += [self._extract_response_function_call(function_call)] - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=delta_content or "", tool_calls=assistant_message_tool_calls - ) - - if delta.finish_reason is not None: - # temp_assistant_prompt_message is used to calculate usage - temp_assistant_prompt_message = AssistantPromptMessage( - content=full_response, tool_calls=assistant_message_tool_calls - ) - - prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) - completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[]) - - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=prompt_tokens, - completion_tokens=completion_tokens, - ) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=0, message=assistant_prompt_message, finish_reason=delta.finish_reason, usage=usage - ), - ) - else: - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=0, - message=assistant_prompt_message, - ), - ) - - full_response += delta_content - - def _handle_completion_generate_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: Completion, - ) -> LLMResult: - """ - handle normal completion generate response - """ - if len(resp.choices) == 0: - raise InvokeServerUnavailableError("Empty response") - - assistant_message = resp.choices[0].text - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=assistant_message, tool_calls=[]) - - prompt_tokens = self._get_num_tokens_by_gpt2(self._convert_prompt_message_to_text(prompt_messages)) - completion_tokens = self._num_tokens_from_messages( - messages=[assistant_prompt_message], tools=[], is_completion_model=True - ) - usage = self._calc_response_usage( - model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens - ) - - response = LLMResult( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=resp.system_fingerprint, - usage=usage, - message=assistant_prompt_message, - ) - - return response - - def _handle_completion_stream_response( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: list[PromptMessageTool], - resp: Iterator[Completion], - ) -> Generator: - """ - handle stream completion generate response - """ - full_response = "" - - for chunk in resp: - if len(chunk.choices) == 0: - continue - - delta = chunk.choices[0] - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage(content=delta.text or "", tool_calls=[]) - - if delta.finish_reason is not None: - # temp_assistant_prompt_message is used to calculate usage - temp_assistant_prompt_message = AssistantPromptMessage(content=full_response, tool_calls=[]) - - prompt_tokens = self._get_num_tokens_by_gpt2(self._convert_prompt_message_to_text(prompt_messages)) - completion_tokens = self._num_tokens_from_messages( - messages=[temp_assistant_prompt_message], tools=[], is_completion_model=True - ) - usage = self._calc_response_usage( - model=model, - credentials=credentials, - prompt_tokens=prompt_tokens, - completion_tokens=completion_tokens, - ) - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=0, message=assistant_prompt_message, finish_reason=delta.finish_reason, usage=usage - ), - ) - else: - if delta.text is None or delta.text == "": - continue - - yield LLMResultChunk( - model=model, - prompt_messages=prompt_messages, - system_fingerprint=chunk.system_fingerprint, - delta=LLMResultChunkDelta( - index=0, - message=assistant_prompt_message, - ), - ) - - full_response += delta.text - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [ - APIConnectionError, - APITimeoutError, - ], - InvokeServerUnavailableError: [ - InternalServerError, - ConflictError, - NotFoundError, - UnprocessableEntityError, - PermissionDeniedError, - ], - InvokeRateLimitError: [RateLimitError], - InvokeAuthorizationError: [AuthenticationError], - InvokeBadRequestError: [ValueError], - } diff --git a/api/core/model_runtime/model_providers/xinference/rerank/__init__.py b/api/core/model_runtime/model_providers/xinference/rerank/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/xinference/rerank/rerank.py b/api/core/model_runtime/model_providers/xinference/rerank/rerank.py deleted file mode 100644 index 078ec0537a37f4..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/rerank/rerank.py +++ /dev/null @@ -1,187 +0,0 @@ -from typing import Optional - -from xinference_client.client.restful.restful_client import Client, RESTfulRerankModelHandle # type: ignore - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.rerank_model import RerankModel -from core.model_runtime.model_providers.xinference.xinference_helper import validate_model_uid - - -class XinferenceRerankModel(RerankModel): - """ - Model class for Xinference rerank model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - query: str, - docs: list[str], - score_threshold: Optional[float] = None, - top_n: Optional[int] = None, - user: Optional[str] = None, - ) -> RerankResult: - """ - Invoke rerank model - - :param model: model name - :param credentials: model credentials - :param query: search query - :param docs: docs for reranking - :param score_threshold: score threshold - :param top_n: top n - :param user: unique user id - :return: rerank result - """ - if len(docs) == 0: - return RerankResult(model=model, docs=[]) - - server_url = credentials["server_url"] - model_uid = credentials["model_uid"] - api_key = credentials.get("api_key") - server_url = server_url.removesuffix("/") - auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {} - - params = {"documents": docs, "query": query, "top_n": top_n, "return_documents": True} - try: - handle = RESTfulRerankModelHandle(model_uid, server_url, auth_headers) - response = handle.rerank(**params) - except RuntimeError as e: - if "rerank hasn't support extra parameter" not in str(e): - raise InvokeServerUnavailableError(str(e)) - - # compatible xinference server between v0.10.1 - v0.12.1, not support 'return_len' - handle = RESTfulRerankModelHandleWithoutExtraParameter(model_uid, server_url, auth_headers) - response = handle.rerank(**params) - - rerank_documents = [] - for idx, result in enumerate(response["results"]): - # format document - index = result["index"] - page_content = result["document"] if isinstance(result["document"], str) else result["document"]["text"] - rerank_document = RerankDocument( - index=index, - text=page_content, - score=result["relevance_score"], - ) - - # score threshold check - if score_threshold is None or result["relevance_score"] >= score_threshold: - rerank_documents.append(rerank_document) - - return RerankResult(model=model, docs=rerank_documents) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - if not validate_model_uid(credentials): - raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") - - credentials["server_url"] = credentials["server_url"].removesuffix("/") - - # initialize client - client = Client( - base_url=credentials["server_url"], - api_key=credentials.get("api_key"), - ) - - xinference_client = client.get_model(model_uid=credentials["model_uid"]) - - if not isinstance(xinference_client, RESTfulRerankModelHandle): - raise InvokeBadRequestError( - "please check model type, the model you want to invoke is not a rerank model" - ) - - self.invoke( - model=model, - credentials=credentials, - query="Whose kasumi", - docs=[ - 'Kasumi is a girl\'s name of Japanese origin meaning "mist".', - "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ", - "and she leads a team named PopiParty.", - ], - score_threshold=0.8, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError], - } - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.RERANK, - model_properties={}, - parameter_rules=[], - ) - - return entity - - -class RESTfulRerankModelHandleWithoutExtraParameter(RESTfulRerankModelHandle): - def rerank( - self, - documents: list[str], - query: str, - top_n: Optional[int] = None, - max_chunks_per_doc: Optional[int] = None, - return_documents: Optional[bool] = None, - **kwargs, - ): - url = f"{self._base_url}/v1/rerank" - request_body = { - "model": self._model_uid, - "documents": documents, - "query": query, - "top_n": top_n, - "max_chunks_per_doc": max_chunks_per_doc, - "return_documents": return_documents, - } - - import requests - - response = requests.post(url, json=request_body, headers=self.auth_headers) - if response.status_code != 200: - raise InvokeServerUnavailableError(f"Failed to rerank documents, detail: {response.json()['detail']}") - response_data = response.json() - return response_data diff --git a/api/core/model_runtime/model_providers/xinference/speech2text/__init__.py b/api/core/model_runtime/model_providers/xinference/speech2text/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py b/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py deleted file mode 100644 index 5f330ece1a5750..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/speech2text/speech2text.py +++ /dev/null @@ -1,145 +0,0 @@ -from typing import IO, Optional - -from xinference_client.client.restful.restful_client import Client, RESTfulAudioModelHandle # type: ignore - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.speech2text_model import Speech2TextModel -from core.model_runtime.model_providers.xinference.xinference_helper import validate_model_uid - - -class XinferenceSpeech2TextModel(Speech2TextModel): - """ - Model class for Xinference speech to text model. - """ - - def _invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: audio file - :param user: unique user id - :return: text for given audio file - """ - return self._speech2text_invoke(model, credentials, file) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - if not validate_model_uid(credentials): - raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") - - credentials["server_url"] = credentials["server_url"].removesuffix("/") - - # initialize client - client = Client( - base_url=credentials["server_url"], - api_key=credentials.get("api_key"), - ) - - xinference_client = client.get_model(model_uid=credentials["model_uid"]) - - if not isinstance(xinference_client, RESTfulAudioModelHandle): - raise InvokeBadRequestError( - "please check model type, the model you want to invoke is not a audio model" - ) - - audio_file_path = self._get_demo_file_path() - - with open(audio_file_path, "rb") as audio_file: - self.invoke(model, credentials, audio_file) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError], - } - - def _speech2text_invoke( - self, - model: str, - credentials: dict, - file: IO[bytes], - language: Optional[str] = None, - prompt: Optional[str] = None, - response_format: Optional[str] = "json", - temperature: Optional[float] = 0, - ) -> str: - """ - Invoke speech2text model - - :param model: model name - :param credentials: model credentials - :param file: The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, - mpga, m4a, ogg, wav, or webm. - :param language: The language of the input audio. Supplying the input language in ISO-639-1 - :param prompt: An optional text to guide the model's style or continue a previous audio segment. - The prompt should match the audio language. - :param response_format: The format of the transcript output, in one of these options: json, text, srt, - verbose_json, or vtt. - :param temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more - random,while lower values like 0.2 will make it more focused and deterministic.If set to 0, the model will use - log probability to automatically increase the temperature until certain thresholds are hit. - :return: text for given audio file - """ - server_url = credentials["server_url"] - model_uid = credentials["model_uid"] - api_key = credentials.get("api_key") - server_url = server_url.removesuffix("/") - auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {} - - try: - handle = RESTfulAudioModelHandle(model_uid, server_url, auth_headers) - response = handle.transcriptions( - audio=file, language=language, prompt=prompt, response_format=response_format, temperature=temperature - ) - except RuntimeError as e: - raise InvokeServerUnavailableError(str(e)) - - return response["text"] - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.SPEECH2TEXT, - model_properties={}, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/xinference/text_embedding/__init__.py b/api/core/model_runtime/model_providers/xinference/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py deleted file mode 100644 index 9054aabab2dd05..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/text_embedding/text_embedding.py +++ /dev/null @@ -1,204 +0,0 @@ -import time -from typing import Optional - -from xinference_client.client.restful.restful_client import Client, RESTfulEmbeddingModelHandle # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelPropertyKey, ModelType, PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper, validate_model_uid - - -class XinferenceTextEmbeddingModel(TextEmbeddingModel): - """ - Model class for Xinference text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - credentials should be like: - { - 'server_url': 'server url', - 'model_uid': 'model uid', - } - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - server_url = credentials["server_url"] - model_uid = credentials["model_uid"] - api_key = credentials.get("api_key") - server_url = server_url.removesuffix("/") - auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {} - - try: - handle = RESTfulEmbeddingModelHandle(model_uid, server_url, auth_headers) - embeddings = handle.create_embedding(input=texts) - except RuntimeError as e: - raise InvokeServerUnavailableError(str(e)) - - """ - for convenience, the response json is like: - class Embedding(TypedDict): - object: Literal["list"] - model: str - data: List[EmbeddingData] - usage: EmbeddingUsage - class EmbeddingUsage(TypedDict): - prompt_tokens: int - total_tokens: int - class EmbeddingData(TypedDict): - index: int - object: str - embedding: List[float] - """ - - usage = embeddings["usage"] - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage["total_tokens"]) - - result = TextEmbeddingResult( - model=model, embeddings=[embedding["embedding"] for embedding in embeddings["data"]], usage=usage - ) - - return result - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - num_tokens = 0 - for text in texts: - # use GPT2Tokenizer to get num tokens - num_tokens += self._get_num_tokens_by_gpt2(text) - return num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - if not validate_model_uid(credentials): - raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") - - server_url = credentials["server_url"] - model_uid = credentials["model_uid"] - api_key = credentials.get("api_key") - extra_args = XinferenceHelper.get_xinference_extra_parameter( - server_url=server_url, - model_uid=model_uid, - api_key=api_key, - ) - - if extra_args.max_tokens: - credentials["max_tokens"] = extra_args.max_tokens - server_url = server_url.removesuffix("/") - - client = Client( - base_url=server_url, - api_key=api_key, - ) - - try: - handle = client.get_model(model_uid=model_uid) - except RuntimeError as e: - raise InvokeAuthorizationError(str(e)) - - if not isinstance(handle, RESTfulEmbeddingModelHandle): - raise InvokeBadRequestError( - "please check model type, the model you want to invoke is not a text embedding model" - ) - - self._invoke(model=model, credentials=credentials, texts=["ping"]) - except InvokeAuthorizationError as e: - raise CredentialsValidateFailedError(f"Failed to validate credentials for model {model}: {e}") - except RuntimeError as e: - raise CredentialsValidateFailedError(e) - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [KeyError], - } - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param credentials: model credentials - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.TEXT_EMBEDDING, - model_properties={ - ModelPropertyKey.MAX_CHUNKS: 1, - ModelPropertyKey.CONTEXT_SIZE: "max_tokens" in credentials and credentials["max_tokens"] or 512, - }, - parameter_rules=[], - ) - - return entity diff --git a/api/core/model_runtime/model_providers/xinference/tts/__init__.py b/api/core/model_runtime/model_providers/xinference/tts/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/xinference/tts/tts.py b/api/core/model_runtime/model_providers/xinference/tts/tts.py deleted file mode 100644 index 8aa39d4de0d2cb..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/tts/tts.py +++ /dev/null @@ -1,231 +0,0 @@ -import concurrent.futures -from typing import Any, Optional - -from xinference_client.client.restful.restful_client import RESTfulAudioModelHandle # type: ignore - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.tts_model import TTSModel -from core.model_runtime.model_providers.xinference.xinference_helper import XinferenceHelper, validate_model_uid - - -class XinferenceText2SpeechModel(TTSModel): - def __init__(self): - # preset voices, need support custom voice - self.model_voices = { - "__default": { - "all": [ - {"name": "Default", "value": "default"}, - ] - }, - "ChatTTS": { - "all": [ - {"name": "Alloy", "value": "alloy"}, - {"name": "Echo", "value": "echo"}, - {"name": "Fable", "value": "fable"}, - {"name": "Onyx", "value": "onyx"}, - {"name": "Nova", "value": "nova"}, - {"name": "Shimmer", "value": "shimmer"}, - ] - }, - "CosyVoice": { - "zh-Hans": [ - {"name": "中文男", "value": "中文男"}, - {"name": "中文女", "value": "中文女"}, - {"name": "粤语女", "value": "粤语女"}, - ], - "zh-Hant": [ - {"name": "中文男", "value": "中文男"}, - {"name": "中文女", "value": "中文女"}, - {"name": "粤语女", "value": "粤语女"}, - ], - "en-US": [ - {"name": "英文男", "value": "英文男"}, - {"name": "英文女", "value": "英文女"}, - ], - "ja-JP": [ - {"name": "日语男", "value": "日语男"}, - ], - "ko-KR": [ - {"name": "韩语女", "value": "韩语女"}, - ], - }, - } - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - if not validate_model_uid(credentials): - raise CredentialsValidateFailedError("model_uid should not contain /, ?, or #") - - credentials["server_url"] = credentials["server_url"].removesuffix("/") - api_key = credentials.get("api_key") - if api_key is None: - raise CredentialsValidateFailedError("api_key is required") - - extra_param = XinferenceHelper.get_xinference_extra_parameter( - server_url=credentials["server_url"], - model_uid=credentials["model_uid"], - api_key=api_key, - ) - - if "text-to-audio" not in extra_param.model_ability: - raise InvokeBadRequestError( - "please check model type, the model you want to invoke is not a text-to-audio model" - ) - - if extra_param.model_family and extra_param.model_family in self.model_voices: - credentials["audio_model_name"] = extra_param.model_family - else: - credentials["audio_model_name"] = "__default" - - self._tts_invoke_streaming( - model=model, - credentials=credentials, - content_text="Hello Dify!", - voice=self._get_model_default_voice(model, credentials), - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _invoke( - self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, user: Optional[str] = None - ): - """ - _invoke text2speech model - - :param model: model name - :param tenant_id: user tenant id - :param credentials: model credentials - :param voice: model timbre - :param content_text: text content to be translated - :param user: unique user id - :return: text translated to audio file - """ - return self._tts_invoke_streaming(model, credentials, content_text, voice) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> Optional[AIModelEntity]: - """ - used to define customizable model schema - """ - - entity = AIModelEntity( - model=model, - label=I18nObject(en_US=model), - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_type=ModelType.TTS, - model_properties={}, - parameter_rules=[], - ) - - return entity - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [InvokeConnectionError], - InvokeServerUnavailableError: [InvokeServerUnavailableError], - InvokeRateLimitError: [InvokeRateLimitError], - InvokeAuthorizationError: [InvokeAuthorizationError], - InvokeBadRequestError: [InvokeBadRequestError, KeyError, ValueError], - } - - def get_tts_model_voices(self, model: str, credentials: dict, language: Optional[str] = None) -> list: - audio_model_name = credentials.get("audio_model_name", "__default") - for key, voices in self.model_voices.items(): - if key in audio_model_name: - if language and language in voices: - return voices[language] - elif "all" in voices: - return voices["all"] - else: - all_voices = [] - for lang, lang_voices in voices.items(): - all_voices.extend(lang_voices) - return all_voices - - return self.model_voices["__default"]["all"] - - def _get_model_default_voice(self, model: str, credentials: dict) -> Any: - return "" - - def _get_model_word_limit(self, model: str, credentials: dict) -> int: - return 3500 - - def _get_model_audio_type(self, model: str, credentials: dict) -> str: - return "mp3" - - def _get_model_workers_limit(self, model: str, credentials: dict) -> int: - return 5 - - def _tts_invoke_streaming(self, model: str, credentials: dict, content_text: str, voice: str) -> Any: - """ - _tts_invoke_streaming text2speech model - - :param model: model name - :param credentials: model credentials - :param content_text: text content to be translated - :param voice: model timbre - :return: text translated to audio file - """ - credentials["server_url"] = credentials["server_url"].removesuffix("/") - - try: - api_key = credentials.get("api_key") - auth_headers = {"Authorization": f"Bearer {api_key}"} if api_key else {} - handle = RESTfulAudioModelHandle( - credentials["model_uid"], credentials["server_url"], auth_headers=auth_headers - ) - - model_support_voice = [ - x.get("value") for x in self.get_tts_model_voices(model=model, credentials=credentials) - ] - if not voice or voice not in model_support_voice: - voice = self._get_model_default_voice(model, credentials) - word_limit = self._get_model_word_limit(model, credentials) - if len(content_text) > word_limit: - sentences = self._split_text_into_sentences(content_text, max_length=word_limit) - executor = concurrent.futures.ThreadPoolExecutor(max_workers=min(3, len(sentences))) - futures = [ - executor.submit( - handle.speech, input=sentences[i], voice=voice, response_format="mp3", speed=1.0, stream=True - ) - for i in range(len(sentences)) - ] - - for future in futures: - response = future.result() - for chunk in response: - yield chunk - else: - response = handle.speech( - input=content_text.strip(), voice=voice, response_format="mp3", speed=1.0, stream=True - ) - - for chunk in response: - yield chunk - except Exception as ex: - raise InvokeBadRequestError(str(ex)) diff --git a/api/core/model_runtime/model_providers/xinference/xinference.py b/api/core/model_runtime/model_providers/xinference/xinference.py deleted file mode 100644 index d85f7c82e7db71..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/xinference.py +++ /dev/null @@ -1,10 +0,0 @@ -import logging - -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class XinferenceAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/model_runtime/model_providers/xinference/xinference.yaml b/api/core/model_runtime/model_providers/xinference/xinference.yaml deleted file mode 100644 index 3500136693fb48..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/xinference.yaml +++ /dev/null @@ -1,78 +0,0 @@ -provider: xinference -label: - en_US: Xorbits Inference -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#FAF5FF" -help: - title: - en_US: How to deploy Xinference - zh_Hans: 如何部署 Xinference - url: - en_US: https://github.com/xorbitsai/inference -supported_model_types: - - llm - - text-embedding - - rerank - - speech2text - - tts -configurate_methods: - - customizable-model -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: server_url - label: - zh_Hans: 服务器URL - en_US: Server url - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入Xinference的服务器地址，如 http://192.168.1.100:9997 - en_US: Enter the url of your Xinference, e.g. http://192.168.1.100:9997 - - variable: model_uid - label: - zh_Hans: 模型UID - en_US: Model uid - type: text-input - required: true - placeholder: - zh_Hans: 在此输入您的Model UID - en_US: Enter the model uid - - variable: api_key - label: - zh_Hans: API密钥 - en_US: API key - type: secret-input - required: false - placeholder: - zh_Hans: 在此输入您的API密钥 - en_US: Enter the api key - - variable: invoke_timeout - label: - zh_Hans: 调用超时时间 (单位:秒) - en_US: invoke timeout (unit:second) - type: text-input - required: true - default: '60' - placeholder: - zh_Hans: 在此输入调用超时时间 - en_US: Enter invoke timeout value - - variable: max_retries - label: - zh_Hans: 调用重试次数 - en_US: max retries - type: text-input - required: true - default: '3' - placeholder: - zh_Hans: 在此输入调用重试次数 - en_US: Enter max retries diff --git a/api/core/model_runtime/model_providers/xinference/xinference_helper.py b/api/core/model_runtime/model_providers/xinference/xinference_helper.py deleted file mode 100644 index b51423f4eda2e6..00000000000000 --- a/api/core/model_runtime/model_providers/xinference/xinference_helper.py +++ /dev/null @@ -1,151 +0,0 @@ -from threading import Lock -from time import time -from typing import Any, Optional - -from requests.adapters import HTTPAdapter -from requests.exceptions import ConnectionError, MissingSchema, Timeout -from requests.sessions import Session -from yarl import URL - - -class XinferenceModelExtraParameter: - model_format: str - model_handle_type: str - model_ability: list[str] - max_tokens: int = 512 - context_length: int = 2048 - support_function_call: bool = False - support_vision: bool = False - model_family: Optional[str] - - def __init__( - self, - model_format: str, - model_handle_type: str, - model_ability: list[str], - support_function_call: bool, - support_vision: bool, - max_tokens: int, - context_length: int, - model_family: Optional[str], - ) -> None: - self.model_format = model_format - self.model_handle_type = model_handle_type - self.model_ability = model_ability - self.support_function_call = support_function_call - self.support_vision = support_vision - self.max_tokens = max_tokens - self.context_length = context_length - self.model_family = model_family - - -cache: dict[str, dict[str, Any]] = {} -cache_lock = Lock() - - -class XinferenceHelper: - @staticmethod - def get_xinference_extra_parameter( - server_url: str, model_uid: str, api_key: str | None - ) -> XinferenceModelExtraParameter: - XinferenceHelper._clean_cache() - with cache_lock: - if model_uid not in cache: - cache[model_uid] = { - "expires": time() + 300, - "value": XinferenceHelper._get_xinference_extra_parameter(server_url, model_uid, api_key), - } - return cache[model_uid]["value"] - - @staticmethod - def _clean_cache() -> None: - try: - with cache_lock: - expired_keys = [model_uid for model_uid, model in cache.items() if model["expires"] < time()] - for model_uid in expired_keys: - del cache[model_uid] - except RuntimeError as e: - pass - - @staticmethod - def _get_xinference_extra_parameter( - server_url: str, model_uid: str, api_key: str | None - ) -> XinferenceModelExtraParameter: - """ - get xinference model extra parameter like model_format and model_handle_type - """ - - if not model_uid or not model_uid.strip() or not server_url or not server_url.strip(): - raise RuntimeError("model_uid is empty") - - url = str(URL(server_url) / "v1" / "models" / model_uid) - - # this method is surrounded by a lock, and default requests may hang forever, - # so we just set a Adapter with max_retries=3 - session = Session() - session.mount("http://", HTTPAdapter(max_retries=3)) - session.mount("https://", HTTPAdapter(max_retries=3)) - headers = {"Authorization": f"Bearer {api_key}"} if api_key else {} - - try: - response = session.get(url, headers=headers, timeout=10) - except (MissingSchema, ConnectionError, Timeout) as e: - raise RuntimeError(f"get xinference model extra parameter failed, url: {url}, error: {e}") - if response.status_code != 200: - raise RuntimeError( - f"get xinference model extra parameter failed, status code: {response.status_code}," - f" response: {response.text}" - ) - - response_json = response.json() - - model_format = response_json.get("model_format", "ggmlv3") - model_ability = response_json.get("model_ability", []) - model_family = response_json.get("model_family", None) - - if response_json.get("model_type") == "embedding": - model_handle_type = "embedding" - elif response_json.get("model_type") == "audio": - model_handle_type = "audio" - if model_family and model_family in {"ChatTTS", "CosyVoice", "FishAudio"}: - model_ability.append("text-to-audio") - else: - model_ability.append("audio-to-text") - elif model_format == "ggmlv3" and "chatglm" in response_json["model_name"]: - model_handle_type = "chatglm" - elif "generate" in model_ability: - model_handle_type = "generate" - elif "chat" in model_ability: - model_handle_type = "chat" - else: - raise NotImplementedError("xinference model handle type is not supported") - - support_function_call = "tools" in model_ability - support_vision = "vision" in model_ability - max_tokens = response_json.get("max_tokens", 512) - - context_length = response_json.get("context_length", 2048) - - return XinferenceModelExtraParameter( - model_format=model_format, - model_handle_type=model_handle_type, - model_ability=model_ability, - support_function_call=support_function_call, - support_vision=support_vision, - max_tokens=max_tokens, - context_length=context_length, - model_family=model_family, - ) - - -def validate_model_uid(credentials: dict) -> bool: - """ - Validate the model_uid within the credentials dictionary to ensure it does not - contain forbidden characters ("/", "?", "#"). - - param credentials: model credentials - :return: True if the model_uid does not contain forbidden characters ("/", "?", "#"), else False. - """ - forbidden_characters = ["/", "?", "#"] - model_uid = credentials.get("model_uid", "") - return not any(char in forbidden_characters for char in model_uid) diff --git a/api/core/model_runtime/model_providers/yi/__init__.py b/api/core/model_runtime/model_providers/yi/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/yi/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/yi/_assets/icon_l_en.svg deleted file mode 100644 index 9ce3baddaa94ed..00000000000000 --- a/api/core/model_runtime/model_providers/yi/_assets/icon_l_en.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/yi/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/yi/_assets/icon_s_en.svg deleted file mode 100644 index eb0395a21c5dd8..00000000000000 --- a/api/core/model_runtime/model_providers/yi/_assets/icon_s_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/yi/llm/__init__.py b/api/core/model_runtime/model_providers/yi/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/yi/llm/_position.yaml b/api/core/model_runtime/model_providers/yi/llm/_position.yaml deleted file mode 100644 index 5fa098beda1c0d..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/_position.yaml +++ /dev/null @@ -1,10 +0,0 @@ -- yi-34b-chat-0205 -- yi-34b-chat-200k -- yi-vl-plus -- yi-large -- yi-medium -- yi-vision -- yi-medium-200k -- yi-spark -- yi-large-turbo -- yi-lightning diff --git a/api/core/model_runtime/model_providers/yi/llm/llm.py b/api/core/model_runtime/model_providers/yi/llm/llm.py deleted file mode 100644 index f5b61e207635bc..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/llm.py +++ /dev/null @@ -1,192 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union -from urllib.parse import urlparse - -import tiktoken - -from core.model_runtime.entities.common_entities import I18nObject -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult -from core.model_runtime.entities.message_entities import ( - PromptMessage, - PromptMessageTool, - SystemPromptMessage, -) -from core.model_runtime.entities.model_entities import ( - AIModelEntity, - FetchFrom, - ModelFeature, - ModelPropertyKey, - ModelType, - ParameterRule, - ParameterType, -) -from core.model_runtime.model_providers.openai.llm.llm import OpenAILargeLanguageModel - - -class YiLargeLanguageModel(OpenAILargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - - # yi-vl-plus not support system prompt yet. - if model == "yi-vl-plus": - prompt_message_except_system: list[PromptMessage] = [] - for message in prompt_messages: - if not isinstance(message, SystemPromptMessage): - prompt_message_except_system.append(message) - return super()._invoke( - model, credentials, prompt_message_except_system, model_parameters, tools, stop, stream - ) - - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - # refactored from openai model runtime, use cl100k_base for calculate token number - def _num_tokens_from_string(self, model: str, text: str, tools: Optional[list[PromptMessageTool]] = None) -> int: - """ - Calculate num tokens for text completion model with tiktoken package. - - :param model: model name - :param text: prompt text - :param tools: tools for tool calling - :return: number of tokens - """ - encoding = tiktoken.get_encoding("cl100k_base") - num_tokens = len(encoding.encode(text)) - - if tools: - num_tokens += self._num_tokens_for_tools(encoding, tools) - - return num_tokens - - # refactored from openai model runtime, use cl100k_base for calculate token number - def _num_tokens_from_messages( - self, model: str, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None - ) -> int: - """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package. - - Official documentation: https://github.com/openai/openai-cookbook/blob/ - main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb""" - encoding = tiktoken.get_encoding("cl100k_base") - tokens_per_message = 3 - tokens_per_name = 1 - - num_tokens = 0 - messages_dict = [self._convert_prompt_message_to_dict(m) for m in messages] - for message in messages_dict: - num_tokens += tokens_per_message - for key, value in message.items(): - # Cast str(value) in case the message value is not a string - # This occurs with function messages - # TODO: The current token calculation method for the image type is not implemented, - # which need to download the image and then get the resolution for calculation, - # and will increase the request delay - if isinstance(value, list): - text = "" - for item in value: - if isinstance(item, dict) and item["type"] == "text": - text += item["text"] - - value = text - - if key == "tool_calls": - for tool_call in value: - for t_key, t_value in tool_call.items(): - num_tokens += len(encoding.encode(t_key)) - if t_key == "function": - for f_key, f_value in t_value.items(): - num_tokens += len(encoding.encode(f_key)) - num_tokens += len(encoding.encode(f_value)) - else: - num_tokens += len(encoding.encode(t_key)) - num_tokens += len(encoding.encode(t_value)) - else: - num_tokens += len(encoding.encode(str(value))) - - if key == "name": - num_tokens += tokens_per_name - - # every reply is primed with assistant - num_tokens += 3 - - if tools: - num_tokens += self._num_tokens_for_tools(encoding, tools) - - return num_tokens - - @staticmethod - def _add_custom_parameters(credentials: dict) -> None: - credentials["mode"] = "chat" - credentials["openai_api_key"] = credentials["api_key"] - if "endpoint_url" not in credentials or credentials["endpoint_url"] == "": - credentials["openai_api_base"] = "https://api.lingyiwanwu.com" - else: - parsed_url = urlparse(credentials["endpoint_url"]) - credentials["openai_api_base"] = f"{parsed_url.scheme}://{parsed_url.netloc}" - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - return AIModelEntity( - model=model, - label=I18nObject(en_US=model, zh_Hans=model), - model_type=ModelType.LLM, - features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL] - if credentials.get("function_calling_type") == "tool_call" - else [], - fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, - model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)), - ModelPropertyKey.MODE: LLMMode.CHAT.value, - }, - parameter_rules=[ - ParameterRule( - name="temperature", - use_template="temperature", - label=I18nObject(en_US="Temperature", zh_Hans="温度"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="max_tokens", - use_template="max_tokens", - default=512, - min=1, - max=int(credentials.get("max_tokens", 8192)), - label=I18nObject( - en_US="Max Tokens", zh_Hans="指定生成结果长度的上限。如果生成结果截断，可以调大该参数" - ), - type=ParameterType.INT, - ), - ParameterRule( - name="top_p", - use_template="top_p", - label=I18nObject( - en_US="Top P", - zh_Hans="控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。", - ), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="top_k", - use_template="top_k", - label=I18nObject(en_US="Top K", zh_Hans="取样数量"), - type=ParameterType.FLOAT, - ), - ParameterRule( - name="frequency_penalty", - use_template="frequency_penalty", - label=I18nObject(en_US="Frequency Penalty", zh_Hans="重复惩罚"), - type=ParameterType.FLOAT, - ), - ], - ) diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-0205.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-0205.yaml deleted file mode 100644 index ea3d8f5dcee376..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-0205.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-34b-chat-0205 -label: - zh_Hans: yi-34b-chat-0205 - en_US: yi-34b-chat-0205 -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4000 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '2.5' - output: '2.5' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-200k.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-200k.yaml deleted file mode 100644 index d91f984d7f006f..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-34b-chat-200k.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-34b-chat-200k -label: - zh_Hans: yi-34b-chat-200k - en_US: yi-34b-chat-200k -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 200000 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.6 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 4096 - min: 1 - max: 199950 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '12' - output: '12' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-large-turbo.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-large-turbo.yaml deleted file mode 100644 index 1d00eca2cafebb..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-large-turbo.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-large-turbo -label: - zh_Hans: yi-large-turbo - en_US: yi-large-turbo -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 1024 - min: 1 - max: 16384 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '12' - output: '12' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-large.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-large.yaml deleted file mode 100644 index 347f511280b9ad..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-large.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-large -label: - zh_Hans: yi-large - en_US: yi-large -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 1024 - min: 1 - max: 16384 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '20' - output: '20' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-lightning.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-lightning.yaml deleted file mode 100644 index fccf1b3a264018..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-lightning.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-lightning -label: - zh_Hans: yi-lightning - en_US: yi-lightning -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 1024 - min: 1 - max: 4000 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '0.99' - output: '0.99' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-medium-200k.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-medium-200k.yaml deleted file mode 100644 index e8ddbcba97b415..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-medium-200k.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-medium-200k -label: - zh_Hans: yi-medium-200k - en_US: yi-medium-200k -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 204800 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 1024 - min: 1 - max: 204800 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '12' - output: '12' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-medium.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-medium.yaml deleted file mode 100644 index 4f0244d1f5e7b7..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-medium.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-medium -label: - zh_Hans: yi-medium - en_US: yi-medium -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 1024 - min: 1 - max: 16384 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '2.5' - output: '2.5' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-spark.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-spark.yaml deleted file mode 100644 index e28e9fd8c09e82..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-spark.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-spark -label: - zh_Hans: yi-spark - en_US: yi-spark -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 16384 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 1024 - min: 1 - max: 16384 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '1' - output: '1' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-vision.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-vision.yaml deleted file mode 100644 index bce34f58364f24..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-vision.yaml +++ /dev/null @@ -1,44 +0,0 @@ -model: yi-vision -label: - zh_Hans: yi-vision - en_US: yi-vision -model_type: llm -features: - - agent-thought - - vision -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 1024 - min: 1 - max: 4096 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.9 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '6' - output: '6' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/llm/yi-vl-plus.yaml b/api/core/model_runtime/model_providers/yi/llm/yi-vl-plus.yaml deleted file mode 100644 index 461c68583fe669..00000000000000 --- a/api/core/model_runtime/model_providers/yi/llm/yi-vl-plus.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: yi-vl-plus -label: - zh_Hans: yi-vl-plus - en_US: yi-vl-plus -model_type: llm -features: - - vision -model_properties: - mode: chat - context_size: 4096 -parameter_rules: - - name: temperature - use_template: temperature - type: float - default: 0.3 - min: 0.0 - max: 2.0 - help: - zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 - en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. - - name: max_tokens - use_template: max_tokens - type: int - default: 512 - min: 1 - max: 4000 - help: - zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 - en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. - - name: top_p - use_template: top_p - type: float - default: 0.8 - min: 0.01 - max: 1.00 - help: - zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 - en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. -pricing: - input: '6' - output: '6' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/yi/yi.py b/api/core/model_runtime/model_providers/yi/yi.py deleted file mode 100644 index 9599acb22b505a..00000000000000 --- a/api/core/model_runtime/model_providers/yi/yi.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class YiProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `yi-34b-chat-0205` model for validate, - # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="yi-34b-chat-0205", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/yi/yi.yaml b/api/core/model_runtime/model_providers/yi/yi.yaml deleted file mode 100644 index 393526c31e3168..00000000000000 --- a/api/core/model_runtime/model_providers/yi/yi.yaml +++ /dev/null @@ -1,96 +0,0 @@ -provider: yi -label: - en_US: 01.AI - zh_Hans: 零一万物 -description: - en_US: Models provided by 01.AI, such as yi-34b-chat and yi-vl-plus. - zh_Hans: 零一万物提供的模型，例如 yi-34b-chat 和 yi-vl-plus。 -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#E9F1EC" -help: - title: - en_US: Get your API Key from 01.ai - zh_Hans: 从零一万物获取 API Key - url: - en_US: https://platform.lingyiwanwu.com/apikeys -supported_model_types: - - llm -configurate_methods: - - predefined-model - - customizable-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: endpoint_url - label: - zh_Hans: 自定义 API endpoint 地址 - en_US: Custom API endpoint URL - type: text-input - required: false - placeholder: - zh_Hans: Base URL, e.g. https://api.lingyiwanwu.com/v1 - en_US: Base URL, e.g. https://api.lingyiwanwu.com/v1 -model_credential_schema: - model: - label: - en_US: Model Name - zh_Hans: 模型名称 - placeholder: - en_US: Enter your model name - zh_Hans: 输入模型名称 - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: context_size - label: - zh_Hans: 模型上下文长度 - en_US: Model context size - required: true - type: text-input - default: '4096' - placeholder: - zh_Hans: 在此输入您的模型上下文长度 - en_US: Enter your Model context size - - variable: max_tokens - label: - zh_Hans: 最大 token 上限 - en_US: Upper bound for max tokens - default: '4096' - type: text-input - show_on: - - variable: __model_type - value: llm - - variable: function_calling_type - label: - en_US: Function calling - type: select - required: false - default: no_call - options: - - value: no_call - label: - en_US: Not Support - zh_Hans: 不支持 - - value: function_call - label: - en_US: Support - zh_Hans: 支持 - show_on: - - variable: __model_type - value: llm diff --git a/api/core/model_runtime/model_providers/zhinao/__init__.py b/api/core/model_runtime/model_providers/zhinao/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/zhinao/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/zhinao/_assets/icon_l_en.svg deleted file mode 100644 index b22b8694419bc7..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/_assets/icon_l_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/api/core/model_runtime/model_providers/zhinao/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/zhinao/_assets/icon_s_en.svg deleted file mode 100644 index 8fe72b7d0928e6..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/_assets/icon_s_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo-responsibility-8k.yaml b/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo-responsibility-8k.yaml deleted file mode 100644 index f420df0001b3a2..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo-responsibility-8k.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: 360gpt-turbo-responsibility-8k -label: - zh_Hans: 360gpt-turbo-responsibility-8k - en_US: 360gpt-turbo-responsibility-8k -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 8192 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo.yaml b/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo.yaml deleted file mode 100644 index a2658fbe4f5c0e..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/llm/360gpt-turbo.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: 360gpt-turbo -label: - zh_Hans: 360gpt-turbo - en_US: 360gpt-turbo -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 2048 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/zhinao/llm/360gpt2-pro.yaml b/api/core/model_runtime/model_providers/zhinao/llm/360gpt2-pro.yaml deleted file mode 100644 index 00c81eb1daaffb..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/llm/360gpt2-pro.yaml +++ /dev/null @@ -1,36 +0,0 @@ -model: 360gpt2-pro -label: - zh_Hans: 360gpt2-pro - en_US: 360gpt2-pro -model_type: llm -features: - - agent-thought -model_properties: - mode: chat - context_size: 2048 -parameter_rules: - - name: temperature - use_template: temperature - min: 0 - max: 1 - default: 0.5 - - name: top_p - use_template: top_p - min: 0 - max: 1 - default: 1 - - name: max_tokens - use_template: max_tokens - min: 1 - max: 2048 - default: 1024 - - name: frequency_penalty - use_template: frequency_penalty - min: -2 - max: 2 - default: 0 - - name: presence_penalty - use_template: presence_penalty - min: -2 - max: 2 - default: 0 diff --git a/api/core/model_runtime/model_providers/zhinao/llm/__init__.py b/api/core/model_runtime/model_providers/zhinao/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/zhinao/llm/_position.yaml b/api/core/model_runtime/model_providers/zhinao/llm/_position.yaml deleted file mode 100644 index ab8dbf51821c0a..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/llm/_position.yaml +++ /dev/null @@ -1,3 +0,0 @@ -- 360gpt2-pro -- 360gpt-turbo -- 360gpt-turbo-responsibility-8k diff --git a/api/core/model_runtime/model_providers/zhinao/llm/llm.py b/api/core/model_runtime/model_providers/zhinao/llm/llm.py deleted file mode 100644 index befc3de021e1f2..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/llm/llm.py +++ /dev/null @@ -1,31 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from core.model_runtime.entities.llm_entities import LLMResult -from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class ZhinaoLargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - self._add_custom_parameters(credentials) - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - @classmethod - def _add_custom_parameters(cls, credentials: dict) -> None: - credentials["mode"] = "chat" - credentials["endpoint_url"] = "https://api.360.cn/v1" diff --git a/api/core/model_runtime/model_providers/zhinao/zhinao.py b/api/core/model_runtime/model_providers/zhinao/zhinao.py deleted file mode 100644 index 2a263292f98f14..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/zhinao.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class ZhinaoProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - # Use `360gpt-turbo` model for validate, - # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="360gpt-turbo", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/zhinao/zhinao.yaml b/api/core/model_runtime/model_providers/zhinao/zhinao.yaml deleted file mode 100644 index c5cb142c47d4c3..00000000000000 --- a/api/core/model_runtime/model_providers/zhinao/zhinao.yaml +++ /dev/null @@ -1,32 +0,0 @@ -provider: zhinao -label: - en_US: 360 AI - zh_Hans: 360 智脑 -description: - en_US: Models provided by 360 AI. - zh_Hans: 360 智脑提供的模型。 -icon_small: - en_US: icon_s_en.svg -icon_large: - en_US: icon_l_en.svg -background: "#e3f0ff" -help: - title: - en_US: Get your API Key from 360 AI. - zh_Hans: 从360 智脑获取 API Key - url: - en_US: https://ai.360.com/platform/keys -supported_model_types: - - llm -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key diff --git a/api/core/model_runtime/model_providers/zhipuai/__init__.py b/api/core/model_runtime/model_providers/zhipuai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_en.svg b/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_en.svg deleted file mode 100644 index d32499917d3c72..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_en.svg +++ /dev/null @@ -1,6 +0,0 @@ - - - - - - diff --git a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_zh.svg b/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_zh.svg deleted file mode 100644 index 067ea2c4272ee8..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_l_zh.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_s_en.svg b/api/core/model_runtime/model_providers/zhipuai/_assets/icon_s_en.svg deleted file mode 100644 index 016f97ddab8dab..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/_assets/icon_s_en.svg +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/api/core/model_runtime/model_providers/zhipuai/_common.py b/api/core/model_runtime/model_providers/zhipuai/_common.py deleted file mode 100644 index fa95232f717d78..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/_common.py +++ /dev/null @@ -1,41 +0,0 @@ -from core.model_runtime.errors.invoke import ( - InvokeAuthorizationError, - InvokeBadRequestError, - InvokeConnectionError, - InvokeError, - InvokeRateLimitError, - InvokeServerUnavailableError, -) - - -class _CommonZhipuaiAI: - def _to_credential_kwargs(self, credentials: dict) -> dict: - """ - Transform credentials to kwargs for model instance - - :param credentials: - :return: - """ - credentials_kwargs = { - "api_key": credentials["api_key"] if "api_key" in credentials else credentials.get("zhipuai_api_key"), - } - - return credentials_kwargs - - @property - def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: - """ - Map model invoke error to unified error - The key is the error type thrown to the caller - The value is the error type thrown by the model, - which needs to be converted into a unified error type for the caller. - - :return: Invoke error mapping - """ - return { - InvokeConnectionError: [], - InvokeServerUnavailableError: [], - InvokeRateLimitError: [], - InvokeAuthorizationError: [], - InvokeBadRequestError: [], - } diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/__init__.py b/api/core/model_runtime/model_providers/zhipuai/llm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml deleted file mode 100644 index 9778de1a2eeaa0..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite.yaml +++ /dev/null @@ -1,22 +0,0 @@ -model: chatglm_lite -label: - en_US: chatglm_lite -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.9 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. -deprecated: true diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml deleted file mode 100644 index 7836d964c64cf9..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_lite_32k.yaml +++ /dev/null @@ -1,22 +0,0 @@ -model: chatglm_lite_32k -label: - en_US: chatglm_lite_32k -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.9 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. -deprecated: true diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml deleted file mode 100644 index b3d53c812bd8fd..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_pro.yaml +++ /dev/null @@ -1,22 +0,0 @@ -model: chatglm_pro -label: - en_US: chatglm_pro -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.9 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. -deprecated: true diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml deleted file mode 100644 index 7d8b9520a0ee47..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_std.yaml +++ /dev/null @@ -1,22 +0,0 @@ -model: chatglm_std -label: - en_US: chatglm_std -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.9 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. -deprecated: true diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml deleted file mode 100644 index 049fae6c1676b9..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml +++ /dev/null @@ -1,43 +0,0 @@ -model: chatglm_turbo -label: - en_US: chatglm_turbo -model_type: llm -model_properties: - mode: chat -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: return_type - label: - zh_Hans: 回复类型 - en_US: Return Type - type: string - help: - zh_Hans: 用于控制每次返回内容的类型，空或者没有此字段时默认按照 json_string 返回，json_string 返回标准的 JSON 字符串，text 返回原始的文本内容。 - en_US: Used to control the type of content returned each time. When it is empty or does not have this field, it will be returned as json_string by default. json_string returns a standard JSON string, and text returns the original text content. - required: false - options: - - text - - json_string -deprecated: true diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml deleted file mode 100644 index bf1dad81fee594..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: glm-4-0520 -label: - en_US: glm-4-0520 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.1' - output: '0.1' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml deleted file mode 100644 index a88779ed138942..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: glm-4-air -label: - en_US: glm-4-air -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.001' - output: '0.001' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml deleted file mode 100644 index 868dab92421d99..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: glm-4-airx -label: - en_US: glm-4-airx -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 8192 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.01' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml deleted file mode 100644 index 5ee67aadef8ebd..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: glm-4-flash -label: - en_US: glm-4-flash -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml deleted file mode 100644 index abd95a3a9a5bb3..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: glm-4-flashx -label: - en_US: glm-4-flashx -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0' - output: '0' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml deleted file mode 100644 index fa5b1e1fe9d7cf..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml +++ /dev/null @@ -1,54 +0,0 @@ -model: glm-3-turbo -label: - en_US: glm-3-turbo -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 8192 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. -pricing: - input: '0.001' - output: '0.001' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml deleted file mode 100644 index 127f81c5ad77b7..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: glm-4 -label: - en_US: glm-4 -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.1' - output: '0.1' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml deleted file mode 100644 index ebcb7b4f78d191..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml +++ /dev/null @@ -1,68 +0,0 @@ -model: glm-4-long -label: - en_US: glm-4-long -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 1048576 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - min: 0.0 - max: 1.0 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.001' - output: '0.001' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml deleted file mode 100644 index 7dd113c06f4a67..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml +++ /dev/null @@ -1,66 +0,0 @@ -model: glm-4-plus -label: - en_US: glm-4-plus -model_type: llm -features: - - multi-tool-call - - agent-thought - - stream-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.7 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 4095 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.05' - output: '0.05' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml deleted file mode 100644 index ceeeacced249fd..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml +++ /dev/null @@ -1,64 +0,0 @@ -model: glm-4v -label: - en_US: glm-4v -model_type: llm -model_properties: - mode: chat - context_size: 2048 -features: - - vision -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.6 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.05' - output: '0.05' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml deleted file mode 100644 index 9e3a7f203d9979..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml +++ /dev/null @@ -1,64 +0,0 @@ -model: glm-4v-flash -label: - en_US: glm-4v-flash -model_type: llm -model_properties: - mode: chat - context_size: 2048 -features: - - vision -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.6 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.00' - output: '0.00' - unit: '0.000001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml deleted file mode 100644 index 3aa981deff6b4b..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml +++ /dev/null @@ -1,65 +0,0 @@ -model: glm-4v-plus -label: - en_US: glm-4v-plus -model_type: llm -model_properties: - mode: chat - context_size: 8192 -features: - - vision - - video -parameter_rules: - - name: temperature - use_template: temperature - default: 0.95 - min: 0.0 - max: 1.0 - help: - zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: top_p - use_template: top_p - default: 0.6 - help: - zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 - en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. - - name: do_sample - label: - zh_Hans: 采样策略 - en_US: Sampling strategy - type: boolean - help: - zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 - en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. - default: true - - name: max_tokens - use_template: max_tokens - default: 1024 - min: 1 - max: 1024 - - name: web_search - type: boolean - label: - zh_Hans: 联网搜索 - en_US: Web Search - default: false - help: - zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 - en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. - - name: response_format - label: - zh_Hans: 回复格式 - en_US: Response Format - type: string - help: - zh_Hans: 指定模型必须输出的格式 - en_US: specifying the format that the model must output - required: false - options: - - text - - json_object -pricing: - input: '0.01' - output: '0.01' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py deleted file mode 100644 index 6199fbb45e62f9..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py +++ /dev/null @@ -1,464 +0,0 @@ -import json -from collections.abc import Generator -from typing import Optional, Union - -from zhipuai import ZhipuAI # type: ignore -from zhipuai.types.chat.chat_completion import Completion # type: ignore -from zhipuai.types.chat.chat_completion_chunk import ChatCompletionChunk # type: ignore - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessage, - PromptMessageContent, - PromptMessageContentType, - PromptMessageRole, - PromptMessageTool, - SystemPromptMessage, - ToolPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI -from core.model_runtime.utils import helper - - -class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param tools: tools for tool calling - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - - # invoke model - return self._generate(model, credentials_kwargs, prompt_messages, model_parameters, tools, stop, stream, user) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param prompt_messages: prompt messages - :param tools: tools for tool calling - :return: - """ - prompt = self._convert_messages_to_prompt(prompt_messages, tools) - - return self._get_num_tokens_by_gpt2(prompt) - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - self._generate( - model=model, - credentials_kwargs=credentials_kwargs, - prompt_messages=[ - UserPromptMessage(content="ping"), - ], - model_parameters={ - "temperature": 0.5, - }, - tools=[], - stream=False, - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def _generate( - self, - model: str, - credentials_kwargs: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - """ - Invoke large language model - - :param model: model name - :param credentials_kwargs: credentials kwargs - :param prompt_messages: prompt messages - :param model_parameters: model parameters - :param stop: stop words - :param stream: is stream response - :param user: unique user id - :return: full response or stream response chunk generator result - """ - extra_model_kwargs = {} - # request to glm-4v-plus with stop words will always respond "finish_reason":"network_error" - if stop and model != "glm-4v-plus": - extra_model_kwargs["stop"] = stop - - client = ZhipuAI(api_key=credentials_kwargs["api_key"]) - - if len(prompt_messages) == 0: - raise ValueError("At least one message is required") - - if prompt_messages[0].role == PromptMessageRole.SYSTEM: - if not prompt_messages[0].content: - prompt_messages = prompt_messages[1:] - - # resolve zhipuai model not support system message and user message, assistant message must be in sequence - new_prompt_messages: list[PromptMessage] = [] - for prompt_message in prompt_messages: - copy_prompt_message = prompt_message.model_copy() - if copy_prompt_message.role in {PromptMessageRole.USER, PromptMessageRole.SYSTEM, PromptMessageRole.TOOL}: - if isinstance(copy_prompt_message.content, list): - # check if model is 'glm-4v' - if not model.startswith("glm-4v"): - # not support list message - continue - # get image and - if not isinstance(copy_prompt_message, UserPromptMessage): - # not support system message - continue - new_prompt_messages.append(copy_prompt_message) - - if not isinstance(copy_prompt_message.content, str): - # not support image message - continue - - if ( - new_prompt_messages - and new_prompt_messages[-1].role == PromptMessageRole.USER - and copy_prompt_message.role == PromptMessageRole.USER - ): - new_prompt_messages[-1].content += "\n\n" + copy_prompt_message.content - else: - if copy_prompt_message.role in {PromptMessageRole.USER, PromptMessageRole.TOOL}: - new_prompt_messages.append(copy_prompt_message) - elif copy_prompt_message.role == PromptMessageRole.SYSTEM: - new_prompt_message = SystemPromptMessage(content=copy_prompt_message.content) - new_prompt_messages.append(new_prompt_message) - else: - new_prompt_message = UserPromptMessage(content=copy_prompt_message.content) - new_prompt_messages.append(new_prompt_message) - else: - if new_prompt_messages and new_prompt_messages[-1].role == PromptMessageRole.ASSISTANT: - new_prompt_messages[-1].content += "\n\n" + copy_prompt_message.content - else: - new_prompt_messages.append(copy_prompt_message) - - # zhipuai moved web_search param to tools - if "web_search" in model_parameters: - enable_web_search = model_parameters.get("web_search") - model_parameters.pop("web_search") - web_search_params = {"type": "web_search", "web_search": {"enable": enable_web_search}} - if "tools" in model_parameters: - model_parameters["tools"].append(web_search_params) - else: - model_parameters["tools"] = [web_search_params] - - response_format = model_parameters.get("response_format") - if response_format: - if response_format == "json_schema": - json_schema = model_parameters.get("json_schema") - if not json_schema: - raise ValueError("Must define JSON Schema when the response format is json_schema") - try: - schema = json.loads(json_schema) - except: - raise ValueError(f"not correct json_schema format: {json_schema}") - model_parameters.pop("json_schema") - model_parameters["response_format"] = {"type": "json_schema", "json_schema": schema} - else: - model_parameters["response_format"] = {"type": response_format} - elif "json_schema" in model_parameters: - del model_parameters["json_schema"] - - if model.startswith("glm-4v"): - params = self._construct_glm_4v_parameter(model, new_prompt_messages, model_parameters) - else: - params = {"model": model, "messages": [], **model_parameters} - for prompt_message in new_prompt_messages: - if prompt_message.role == PromptMessageRole.TOOL: - params["messages"].append( - { - "role": "tool", - "content": prompt_message.content, - "tool_call_id": prompt_message.tool_call_id, - } - ) - elif isinstance(prompt_message, AssistantPromptMessage): - if prompt_message.tool_calls: - params["messages"].append( - { - "role": "assistant", - "content": prompt_message.content, - "tool_calls": [ - { - "id": tool_call.id, - "type": tool_call.type, - "function": { - "name": tool_call.function.name, - "arguments": tool_call.function.arguments, - }, - } - for tool_call in prompt_message.tool_calls - ], - } - ) - else: - params["messages"].append({"role": "assistant", "content": prompt_message.content}) - else: - params["messages"].append({"role": prompt_message.role.value, "content": prompt_message.content}) - - if tools and len(tools) > 0: - params["tools"] = [{"type": "function", "function": helper.dump_model(tool)} for tool in tools] - - if stream: - response = client.chat.completions.create(stream=stream, **params, **extra_model_kwargs) - return self._handle_generate_stream_response(model, credentials_kwargs, tools, response, prompt_messages) - - response = client.chat.completions.create(**params, **extra_model_kwargs) - return self._handle_generate_response(model, credentials_kwargs, tools, response, prompt_messages) - - def _construct_glm_4v_parameter(self, model: str, prompt_messages: list[PromptMessage], model_parameters: dict): - messages = [ - {"role": message.role.value, "content": self._construct_glm_4v_messages(message.content)} - for message in prompt_messages - ] - - params = {"model": model, "messages": messages, **model_parameters} - - return params - - def _construct_glm_4v_messages(self, prompt_message: Union[str, list[PromptMessageContent]]) -> list[dict]: - if isinstance(prompt_message, list): - sub_messages = [] - for item in prompt_message: - if item.type == PromptMessageContentType.IMAGE: - sub_messages.append( - { - "type": "image_url", - "image_url": {"url": self._remove_base64_header(item.data)}, - } - ) - elif item.type == PromptMessageContentType.VIDEO: - sub_messages.append( - { - "type": "video_url", - "video_url": {"url": self._remove_base64_header(item.data)}, - } - ) - else: - sub_messages.append({"type": "text", "text": item.data}) - return sub_messages - else: - return [{"type": "text", "text": prompt_message}] - - def _remove_base64_header(self, file_content: str) -> str: - if file_content.startswith("data:"): - data_split = file_content.split(";base64,") - return data_split[1] - - return file_content - - def _handle_generate_response( - self, - model: str, - credentials: dict, - tools: Optional[list[PromptMessageTool]], - response: Completion, - prompt_messages: list[PromptMessage], - ) -> LLMResult: - """ - Handle llm response - - :param model: model name - :param response: response - :param prompt_messages: prompt messages - :return: llm response - """ - text = "" - assistant_tool_calls: list[AssistantPromptMessage.ToolCall] = [] - for choice in response.choices: - if choice.message.tool_calls: - for tool_call in choice.message.tool_calls: - if tool_call.type == "function": - assistant_tool_calls.append( - AssistantPromptMessage.ToolCall( - id=tool_call.id, - type=tool_call.type, - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=tool_call.function.name, - arguments=tool_call.function.arguments, - ), - ) - ) - - text += choice.message.content or "" - - prompt_usage = response.usage.prompt_tokens - completion_usage = response.usage.completion_tokens - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_usage, completion_usage) - - # transform response - result = LLMResult( - model=model, - prompt_messages=prompt_messages, - message=AssistantPromptMessage(content=text, tool_calls=assistant_tool_calls), - usage=usage, - ) - - return result - - def _handle_generate_stream_response( - self, - model: str, - credentials: dict, - tools: Optional[list[PromptMessageTool]], - responses: Generator[ChatCompletionChunk, None, None], - prompt_messages: list[PromptMessage], - ) -> Generator: - """ - Handle llm stream response - - :param model: model name - :param responses: response - :param prompt_messages: prompt messages - :return: llm response chunk generator result - """ - full_assistant_content = "" - for chunk in responses: - if len(chunk.choices) == 0: - continue - - delta = chunk.choices[0] - - if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ""): - continue - - assistant_tool_calls: list[AssistantPromptMessage.ToolCall] = [] - for tool_call in delta.delta.tool_calls or []: - if tool_call.type == "function": - assistant_tool_calls.append( - AssistantPromptMessage.ToolCall( - id=tool_call.id, - type=tool_call.type, - function=AssistantPromptMessage.ToolCall.ToolCallFunction( - name=tool_call.function.name, - arguments=tool_call.function.arguments, - ), - ) - ) - - # transform assistant message to prompt message - assistant_prompt_message = AssistantPromptMessage( - content=delta.delta.content or "", tool_calls=assistant_tool_calls - ) - - full_assistant_content += delta.delta.content or "" - - if delta.finish_reason is not None and chunk.usage is not None: - completion_tokens = chunk.usage.completion_tokens - prompt_tokens = chunk.usage.prompt_tokens - - # transform usage - usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) - - yield LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint="", - delta=LLMResultChunkDelta( - index=delta.index, - message=assistant_prompt_message, - finish_reason=delta.finish_reason, - usage=usage, - ), - ) - else: - yield LLMResultChunk( - model=chunk.model, - prompt_messages=prompt_messages, - system_fingerprint="", - delta=LLMResultChunkDelta( - index=delta.index, message=assistant_prompt_message, finish_reason=delta.finish_reason - ), - ) - - def _convert_one_message_to_text(self, message: PromptMessage) -> str: - """ - Convert a single message to a string. - - :param message: PromptMessage to convert. - :return: String representation of the message. - """ - human_prompt = "\n\nHuman:" - ai_prompt = "\n\nAssistant:" - content = message.content - if isinstance(content, list): - content = "".join(c.data for c in content if c.type == PromptMessageContentType.TEXT) - - if isinstance(message, UserPromptMessage): - message_text = f"{human_prompt} {content}" - elif isinstance(message, AssistantPromptMessage): - message_text = f"{ai_prompt} {content}" - elif isinstance(message, SystemPromptMessage | ToolPromptMessage): - message_text = content - else: - raise ValueError(f"Got unknown type {message}") - - return message_text - - def _convert_messages_to_prompt( - self, messages: list[PromptMessage], tools: Optional[list[PromptMessageTool]] = None - ) -> str: - """ - :param messages: List of PromptMessage to combine. - :return: Combined string with necessary human_prompt and ai_prompt tags. - """ - messages = messages.copy() # don't mutate the original list - - text = "".join(self._convert_one_message_to_text(message) for message in messages) - - if tools and len(tools) > 0: - text += "\n\nTools:" - for tool in tools: - text += f"\n{tool.model_dump_json()}" - - # trim off the trailing ' ' that might come from the "Assistant: " - return text.rstrip() diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/__init__.py b/api/core/model_runtime/model_providers/zhipuai/text_embedding/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml b/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml deleted file mode 100644 index f1b8b356028e25..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: embedding-2 -model_type: text-embedding -model_properties: - context_size: 8192 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-3.yaml b/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-3.yaml deleted file mode 100644 index 5c55c911c4bdd1..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-3.yaml +++ /dev/null @@ -1,8 +0,0 @@ -model: embedding-3 -model_type: text-embedding -model_properties: - context_size: 8192 -pricing: - input: '0.0005' - unit: '0.001' - currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py deleted file mode 100644 index a700304db7b6f3..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py +++ /dev/null @@ -1,132 +0,0 @@ -import time -from typing import Optional - -from zhipuai import ZhipuAI # type: ignore - -from core.entities.embedding_type import EmbeddingInputType -from core.model_runtime.entities.model_entities import PriceType -from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel -from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI - - -class ZhipuAITextEmbeddingModel(_CommonZhipuaiAI, TextEmbeddingModel): - """ - Model class for ZhipuAI text embedding model. - """ - - def _invoke( - self, - model: str, - credentials: dict, - texts: list[str], - user: Optional[str] = None, - input_type: EmbeddingInputType = EmbeddingInputType.DOCUMENT, - ) -> TextEmbeddingResult: - """ - Invoke text embedding model - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :param user: unique user id - :param input_type: input type - :return: embeddings result - """ - credentials_kwargs = self._to_credential_kwargs(credentials) - client = ZhipuAI(api_key=credentials_kwargs["api_key"]) - - embeddings, embedding_used_tokens = self.embed_documents(model, client, texts) - - return TextEmbeddingResult( - embeddings=embeddings, - usage=self._calc_response_usage(model, credentials_kwargs, embedding_used_tokens), - model=model, - ) - - def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int: - """ - Get number of tokens for given prompt messages - - :param model: model name - :param credentials: model credentials - :param texts: texts to embed - :return: - """ - if len(texts) == 0: - return 0 - - total_num_tokens = 0 - for text in texts: - total_num_tokens += self._get_num_tokens_by_gpt2(text) - - return total_num_tokens - - def validate_credentials(self, model: str, credentials: dict) -> None: - """ - Validate model credentials - - :param model: model name - :param credentials: model credentials - :return: - """ - try: - # transform credentials to kwargs for model instance - credentials_kwargs = self._to_credential_kwargs(credentials) - client = ZhipuAI(api_key=credentials_kwargs["api_key"]) - - # call embedding model - self.embed_documents( - model=model, - client=client, - texts=["ping"], - ) - except Exception as ex: - raise CredentialsValidateFailedError(str(ex)) - - def embed_documents(self, model: str, client: ZhipuAI, texts: list[str]) -> tuple[list[list[float]], int]: - """Call out to ZhipuAI's embedding endpoint. - - Args: - texts: The list of texts to embed. - - Returns: - List of embeddings, one for each text. - """ - embeddings = [] - embedding_used_tokens = 0 - - for text in texts: - response = client.embeddings.create(model=model, input=text) - data = response.data[0] - embeddings.append(data.embedding) - embedding_used_tokens += response.usage.total_tokens - - return [list(map(float, e)) for e in embeddings], embedding_used_tokens - - def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: - """ - Calculate response usage - - :param model: model name - :param tokens: input tokens - :return: usage - """ - # get input price info - input_price_info = self.get_price( - model=model, credentials=credentials, price_type=PriceType.INPUT, tokens=tokens - ) - - # transform usage - usage = EmbeddingUsage( - tokens=tokens, - total_tokens=tokens, - unit_price=input_price_info.unit_price, - price_unit=input_price_info.unit, - total_price=input_price_info.total_amount, - currency=input_price_info.currency, - latency=time.perf_counter() - self.started_at, - ) - - return usage diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.yaml b/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.yaml deleted file mode 100644 index b9f5bc6397a36b..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.yaml +++ /dev/null @@ -1,4 +0,0 @@ -model: text_embedding -model_type: text-embedding -model_properties: - context_size: 512 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai.py deleted file mode 100644 index e75aad6eb0eb53..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai.py +++ /dev/null @@ -1,27 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class ZhipuaiProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - - model_instance.validate_credentials(model="glm-4", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml b/api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml deleted file mode 100644 index 303a549128a89c..00000000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai.yaml +++ /dev/null @@ -1,31 +0,0 @@ -provider: zhipuai -label: - zh_Hans: 智谱 AI - en_US: ZHIPU AI -icon_small: - en_US: icon_s_en.svg -icon_large: - zh_Hans: icon_l_zh.svg - en_US: icon_l_en.svg -background: "#EFF1FE" -help: - title: - en_US: Get your API key from ZHIPU AI - zh_Hans: 从智谱 AI 获取 API Key - url: - en_US: https://open.bigmodel.cn/usercenter/apikeys -supported_model_types: - - llm - - text-embedding -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: APIKey - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 APIKey - en_US: Enter your APIKey diff --git a/api/core/plugin/backwards_invocation/app.py b/api/core/plugin/backwards_invocation/app.py new file mode 100644 index 00000000000000..29873b508fd034 --- /dev/null +++ b/api/core/plugin/backwards_invocation/app.py @@ -0,0 +1,189 @@ +from collections.abc import Generator, Mapping +from typing import Optional, Union + +from controllers.service_api.wraps import create_or_update_end_user_for_user_id +from core.app.apps.advanced_chat.app_generator import AdvancedChatAppGenerator +from core.app.apps.agent_chat.app_generator import AgentChatAppGenerator +from core.app.apps.chat.app_generator import ChatAppGenerator +from core.app.apps.completion.app_generator import CompletionAppGenerator +from core.app.apps.workflow.app_generator import WorkflowAppGenerator +from core.app.entities.app_invoke_entities import InvokeFrom +from core.plugin.backwards_invocation.base import BaseBackwardsInvocation +from extensions.ext_database import db +from models.account import Account +from models.model import App, AppMode, EndUser + + +class PluginAppBackwardsInvocation(BaseBackwardsInvocation): + @classmethod + def invoke_app( + cls, + app_id: str, + user_id: str, + tenant_id: str, + conversation_id: Optional[str], + query: Optional[str], + stream: bool, + inputs: Mapping, + files: list[dict], + ) -> Generator[Mapping | str, None, None] | Mapping: + """ + invoke app + """ + app = cls._get_app(app_id, tenant_id) + if not user_id: + user = create_or_update_end_user_for_user_id(app) + else: + user = cls._get_user(user_id) + + conversation_id = conversation_id or "" + + if app.mode in {AppMode.ADVANCED_CHAT.value, AppMode.AGENT_CHAT.value, AppMode.CHAT.value}: + if not query: + raise ValueError("missing query") + + return cls.invoke_chat_app(app, user, conversation_id, query, stream, inputs, files) + elif app.mode == AppMode.WORKFLOW.value: + return cls.invoke_workflow_app(app, user, stream, inputs, files) + elif app.mode == AppMode.COMPLETION: + return cls.invoke_completion_app(app, user, stream, inputs, files) + + raise ValueError("unexpected app type") + + @classmethod + def invoke_chat_app( + cls, + app: App, + user: Account | EndUser, + conversation_id: str, + query: str, + stream: bool, + inputs: Mapping, + files: list[dict], + ) -> Generator[Mapping | str, None, None] | Mapping: + """ + invoke chat app + """ + if app.mode == AppMode.ADVANCED_CHAT.value: + workflow = app.workflow + if not workflow: + raise ValueError("unexpected app type") + + return AdvancedChatAppGenerator().generate( + app_model=app, + workflow=workflow, + user=user, + args={ + "inputs": inputs, + "query": query, + "files": files, + "conversation_id": conversation_id, + }, + invoke_from=InvokeFrom.SERVICE_API, + streaming=stream, + ) + elif app.mode == AppMode.AGENT_CHAT.value: + return AgentChatAppGenerator().generate( + app_model=app, + user=user, + args={ + "inputs": inputs, + "query": query, + "files": files, + "conversation_id": conversation_id, + }, + invoke_from=InvokeFrom.SERVICE_API, + streaming=stream, + ) + elif app.mode == AppMode.CHAT.value: + return ChatAppGenerator().generate( + app_model=app, + user=user, + args={ + "inputs": inputs, + "query": query, + "files": files, + "conversation_id": conversation_id, + }, + invoke_from=InvokeFrom.SERVICE_API, + streaming=stream, + ) + else: + raise ValueError("unexpected app type") + + @classmethod + def invoke_workflow_app( + cls, + app: App, + user: EndUser | Account, + stream: bool, + inputs: Mapping, + files: list[dict], + ) -> Generator[Mapping | str, None, None] | Mapping: + """ + invoke workflow app + """ + workflow = app.workflow + if not workflow: + raise ValueError("") + + return WorkflowAppGenerator().generate( + app_model=app, + workflow=workflow, + user=user, + args={"inputs": inputs, "files": files}, + invoke_from=InvokeFrom.SERVICE_API, + streaming=stream, + call_depth=1, + workflow_thread_pool_id=None, + ) + + @classmethod + def invoke_completion_app( + cls, + app: App, + user: EndUser | Account, + stream: bool, + inputs: Mapping, + files: list[dict], + ) -> Generator[Mapping | str, None, None] | Mapping: + """ + invoke completion app + """ + return CompletionAppGenerator().generate( + app_model=app, + user=user, + args={"inputs": inputs, "files": files}, + invoke_from=InvokeFrom.SERVICE_API, + streaming=stream, + ) + + @classmethod + def _get_user(cls, user_id: str) -> Union[EndUser, Account]: + """ + get the user by user id + """ + + user = db.session.query(EndUser).filter(EndUser.id == user_id).first() + if not user: + user = db.session.query(Account).filter(Account.id == user_id).first() + + if not user: + raise ValueError("user not found") + + return user + + @classmethod + def _get_app(cls, app_id: str, tenant_id: str) -> App: + """ + get app + """ + try: + app = db.session.query(App).filter(App.id == app_id).filter(App.tenant_id == tenant_id).first() + except Exception: + raise ValueError("app not found") + + if not app: + raise ValueError("app not found") + + return app diff --git a/api/core/plugin/backwards_invocation/base.py b/api/core/plugin/backwards_invocation/base.py new file mode 100644 index 00000000000000..3214e0746997d6 --- /dev/null +++ b/api/core/plugin/backwards_invocation/base.py @@ -0,0 +1,29 @@ +from collections.abc import Generator, Mapping +from typing import Generic, Optional, TypeVar + +from pydantic import BaseModel + + +class BaseBackwardsInvocation: + @classmethod + def convert_to_event_stream(cls, response: Generator[BaseModel | Mapping | str, None, None] | BaseModel | Mapping): + if isinstance(response, Generator): + try: + for chunk in response: + if isinstance(chunk, BaseModel | dict): + yield BaseBackwardsInvocationResponse(data=chunk).model_dump_json().encode() + b"\n\n" + elif isinstance(chunk, str): + yield f"event: {chunk}\n\n".encode() + except Exception as e: + error_message = BaseBackwardsInvocationResponse(error=str(e)).model_dump_json() + yield f"{error_message}\n\n".encode() + else: + yield BaseBackwardsInvocationResponse(data=response).model_dump_json().encode() + b"\n\n" + + +T = TypeVar("T", bound=dict | Mapping | str | bool | int | BaseModel) + + +class BaseBackwardsInvocationResponse(BaseModel, Generic[T]): + data: Optional[T] = None + error: str = "" diff --git a/api/core/plugin/backwards_invocation/encrypt.py b/api/core/plugin/backwards_invocation/encrypt.py new file mode 100644 index 00000000000000..81a5d033a0edf2 --- /dev/null +++ b/api/core/plugin/backwards_invocation/encrypt.py @@ -0,0 +1,30 @@ +from core.plugin.entities.request import RequestInvokeEncrypt +from core.tools.utils.configuration import ProviderConfigEncrypter +from models.account import Tenant + + +class PluginEncrypter: + @classmethod + def invoke_encrypt(cls, tenant: Tenant, payload: RequestInvokeEncrypt) -> dict: + encrypter = ProviderConfigEncrypter( + tenant_id=tenant.id, + config=payload.config, + provider_type=payload.namespace, + provider_identity=payload.identity, + ) + + if payload.opt == "encrypt": + return { + "data": encrypter.encrypt(payload.data), + } + elif payload.opt == "decrypt": + return { + "data": encrypter.decrypt(payload.data), + } + elif payload.opt == "clear": + encrypter.delete_tool_credentials_cache() + return { + "data": {}, + } + else: + raise ValueError(f"Invalid opt: {payload.opt}") diff --git a/api/core/plugin/backwards_invocation/model.py b/api/core/plugin/backwards_invocation/model.py new file mode 100644 index 00000000000000..61e0f12680c372 --- /dev/null +++ b/api/core/plugin/backwards_invocation/model.py @@ -0,0 +1,321 @@ +import tempfile +from binascii import hexlify, unhexlify +from collections.abc import Generator + +from core.model_manager import ModelManager +from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk +from core.model_runtime.entities.message_entities import ( + PromptMessage, + SystemPromptMessage, + UserPromptMessage, +) +from core.plugin.backwards_invocation.base import BaseBackwardsInvocation +from core.plugin.entities.request import ( + RequestInvokeLLM, + RequestInvokeModeration, + RequestInvokeRerank, + RequestInvokeSpeech2Text, + RequestInvokeSummary, + RequestInvokeTextEmbedding, + RequestInvokeTTS, +) +from core.tools.entities.tool_entities import ToolProviderType +from core.tools.utils.model_invocation_utils import ModelInvocationUtils +from core.workflow.nodes.llm.node import LLMNode +from models.account import Tenant + + +class PluginModelBackwardsInvocation(BaseBackwardsInvocation): + @classmethod + def invoke_llm( + cls, user_id: str, tenant: Tenant, payload: RequestInvokeLLM + ) -> Generator[LLMResultChunk, None, None] | LLMResult: + """ + invoke llm + """ + model_instance = ModelManager().get_model_instance( + tenant_id=tenant.id, + provider=payload.provider, + model_type=payload.model_type, + model=payload.model, + ) + + # invoke model + response = model_instance.invoke_llm( + prompt_messages=payload.prompt_messages, + model_parameters=payload.completion_params, + tools=payload.tools, + stop=payload.stop, + stream=payload.stream or True, + user=user_id, + ) + + if isinstance(response, Generator): + + def handle() -> Generator[LLMResultChunk, None, None]: + for chunk in response: + if chunk.delta.usage: + LLMNode.deduct_llm_quota( + tenant_id=tenant.id, model_instance=model_instance, usage=chunk.delta.usage + ) + yield chunk + + return handle() + else: + if response.usage: + LLMNode.deduct_llm_quota(tenant_id=tenant.id, model_instance=model_instance, usage=response.usage) + return response + + @classmethod + def invoke_text_embedding(cls, user_id: str, tenant: Tenant, payload: RequestInvokeTextEmbedding): + """ + invoke text embedding + """ + model_instance = ModelManager().get_model_instance( + tenant_id=tenant.id, + provider=payload.provider, + model_type=payload.model_type, + model=payload.model, + ) + + # invoke model + response = model_instance.invoke_text_embedding( + texts=payload.texts, + user=user_id, + ) + + return response + + @classmethod + def invoke_rerank(cls, user_id: str, tenant: Tenant, payload: RequestInvokeRerank): + """ + invoke rerank + """ + model_instance = ModelManager().get_model_instance( + tenant_id=tenant.id, + provider=payload.provider, + model_type=payload.model_type, + model=payload.model, + ) + + # invoke model + response = model_instance.invoke_rerank( + query=payload.query, + docs=payload.docs, + score_threshold=payload.score_threshold, + top_n=payload.top_n, + user=user_id, + ) + + return response + + @classmethod + def invoke_tts(cls, user_id: str, tenant: Tenant, payload: RequestInvokeTTS): + """ + invoke tts + """ + model_instance = ModelManager().get_model_instance( + tenant_id=tenant.id, + provider=payload.provider, + model_type=payload.model_type, + model=payload.model, + ) + + # invoke model + response = model_instance.invoke_tts( + content_text=payload.content_text, + tenant_id=tenant.id, + voice=payload.voice, + user=user_id, + ) + + def handle() -> Generator[dict, None, None]: + for chunk in response: + yield {"result": hexlify(chunk).decode("utf-8")} + + return handle() + + @classmethod + def invoke_speech2text(cls, user_id: str, tenant: Tenant, payload: RequestInvokeSpeech2Text): + """ + invoke speech2text + """ + model_instance = ModelManager().get_model_instance( + tenant_id=tenant.id, + provider=payload.provider, + model_type=payload.model_type, + model=payload.model, + ) + + # invoke model + with tempfile.NamedTemporaryFile(suffix=".mp3", mode="wb", delete=True) as temp: + temp.write(unhexlify(payload.file)) + temp.flush() + temp.seek(0) + + response = model_instance.invoke_speech2text( + file=temp, + user=user_id, + ) + + return { + "result": response, + } + + @classmethod + def invoke_moderation(cls, user_id: str, tenant: Tenant, payload: RequestInvokeModeration): + """ + invoke moderation + """ + model_instance = ModelManager().get_model_instance( + tenant_id=tenant.id, + provider=payload.provider, + model_type=payload.model_type, + model=payload.model, + ) + + # invoke model + response = model_instance.invoke_moderation( + text=payload.text, + user=user_id, + ) + + return { + "result": response, + } + + @classmethod + def get_system_model_max_tokens(cls, tenant_id: str) -> int: + """ + get system model max tokens + """ + return ModelInvocationUtils.get_max_llm_context_tokens(tenant_id=tenant_id) + + @classmethod + def get_prompt_tokens(cls, tenant_id: str, prompt_messages: list[PromptMessage]) -> int: + """ + get prompt tokens + """ + return ModelInvocationUtils.calculate_tokens(tenant_id=tenant_id, prompt_messages=prompt_messages) + + @classmethod + def invoke_system_model( + cls, + user_id: str, + tenant: Tenant, + prompt_messages: list[PromptMessage], + ) -> LLMResult: + """ + invoke system model + """ + return ModelInvocationUtils.invoke( + user_id=user_id, + tenant_id=tenant.id, + tool_type=ToolProviderType.PLUGIN, + tool_name="plugin", + prompt_messages=prompt_messages, + ) + + @classmethod + def invoke_summary(cls, user_id: str, tenant: Tenant, payload: RequestInvokeSummary): + """ + invoke summary + """ + max_tokens = cls.get_system_model_max_tokens(tenant_id=tenant.id) + content = payload.text + + SUMMARY_PROMPT = """You are a professional language researcher, you are interested in the language +and you can quickly aimed at the main point of an webpage and reproduce it in your own words but +retain the original meaning and keep the key points. +however, the text you got is too long, what you got is possible a part of the text. +Please summarize the text you got. + +Here is the extra instruction you need to follow: + +{payload.instruction} + +""" + + if ( + cls.get_prompt_tokens( + tenant_id=tenant.id, + prompt_messages=[UserPromptMessage(content=content)], + ) + < max_tokens * 0.6 + ): + return content + + def get_prompt_tokens(content: str) -> int: + return cls.get_prompt_tokens( + tenant_id=tenant.id, + prompt_messages=[ + SystemPromptMessage(content=SUMMARY_PROMPT.replace("{payload.instruction}", payload.instruction)), + UserPromptMessage(content=content), + ], + ) + + def summarize(content: str) -> str: + summary = cls.invoke_system_model( + user_id=user_id, + tenant=tenant, + prompt_messages=[ + SystemPromptMessage(content=SUMMARY_PROMPT.replace("{payload.instruction}", payload.instruction)), + UserPromptMessage(content=content), + ], + ) + + assert isinstance(summary.message.content, str) + return summary.message.content + + lines = content.split("\n") + new_lines: list[str] = [] + # split long line into multiple lines + for i in range(len(lines)): + line = lines[i] + if not line.strip(): + continue + if len(line) < max_tokens * 0.5: + new_lines.append(line) + elif get_prompt_tokens(line) > max_tokens * 0.7: + while get_prompt_tokens(line) > max_tokens * 0.7: + new_lines.append(line[: int(max_tokens * 0.5)]) + line = line[int(max_tokens * 0.5) :] + new_lines.append(line) + else: + new_lines.append(line) + + # merge lines into messages with max tokens + messages: list[str] = [] + for i in new_lines: # type: ignore + if len(messages) == 0: + messages.append(i) # type: ignore + else: + if len(messages[-1]) + len(i) < max_tokens * 0.5: # type: ignore + messages[-1] += i # type: ignore + if get_prompt_tokens(messages[-1] + i) > max_tokens * 0.7: # type: ignore + messages.append(i) # type: ignore + else: + messages[-1] += i # type: ignore + + summaries = [] + for i in range(len(messages)): + message = messages[i] + summary = summarize(message) + summaries.append(summary) + + result = "\n".join(summaries) + + if ( + cls.get_prompt_tokens( + tenant_id=tenant.id, + prompt_messages=[UserPromptMessage(content=result)], + ) + > max_tokens * 0.7 + ): + return cls.invoke_summary( + user_id=user_id, + tenant=tenant, + payload=RequestInvokeSummary(text=result, instruction=payload.instruction), + ) + + return result diff --git a/api/core/plugin/backwards_invocation/node.py b/api/core/plugin/backwards_invocation/node.py new file mode 100644 index 00000000000000..f402da030ff488 --- /dev/null +++ b/api/core/plugin/backwards_invocation/node.py @@ -0,0 +1,117 @@ +from core.plugin.backwards_invocation.base import BaseBackwardsInvocation +from core.workflow.nodes.enums import NodeType +from core.workflow.nodes.parameter_extractor.entities import ( + ModelConfig as ParameterExtractorModelConfig, +) +from core.workflow.nodes.parameter_extractor.entities import ( + ParameterConfig, + ParameterExtractorNodeData, +) +from core.workflow.nodes.question_classifier.entities import ( + ClassConfig, + QuestionClassifierNodeData, +) +from core.workflow.nodes.question_classifier.entities import ( + ModelConfig as QuestionClassifierModelConfig, +) +from services.workflow_service import WorkflowService + + +class PluginNodeBackwardsInvocation(BaseBackwardsInvocation): + @classmethod + def invoke_parameter_extractor( + cls, + tenant_id: str, + user_id: str, + parameters: list[ParameterConfig], + model_config: ParameterExtractorModelConfig, + instruction: str, + query: str, + ) -> dict: + """ + Invoke parameter extractor node. + + :param tenant_id: str + :param user_id: str + :param parameters: list[ParameterConfig] + :param model_config: ModelConfig + :param instruction: str + :param query: str + :return: dict + """ + workflow_service = WorkflowService() + node_id = "1919810" + node_data = ParameterExtractorNodeData( + title="parameter_extractor", + desc="parameter_extractor", + parameters=parameters, + reasoning_mode="function_call", + query=[node_id, "query"], + model=model_config, + instruction=instruction, # instruct with variables are not supported + ) + node_data_dict = node_data.model_dump() + node_data_dict["type"] = NodeType.PARAMETER_EXTRACTOR.value + execution = workflow_service.run_free_workflow_node( + node_data_dict, + tenant_id=tenant_id, + user_id=user_id, + node_id=node_id, + user_inputs={ + f"{node_id}.query": query, + }, + ) + + return { + "inputs": execution.inputs_dict, + "outputs": execution.outputs_dict, + "process_data": execution.process_data_dict, + } + + @classmethod + def invoke_question_classifier( + cls, + tenant_id: str, + user_id: str, + model_config: QuestionClassifierModelConfig, + classes: list[ClassConfig], + instruction: str, + query: str, + ) -> dict: + """ + Invoke question classifier node. + + :param tenant_id: str + :param user_id: str + :param model_config: ModelConfig + :param classes: list[ClassConfig] + :param instruction: str + :param query: str + :return: dict + """ + workflow_service = WorkflowService() + node_id = "1919810" + node_data = QuestionClassifierNodeData( + title="question_classifier", + desc="question_classifier", + query_variable_selector=[node_id, "query"], + model=model_config, + classes=classes, + instruction=instruction, # instruct with variables are not supported + ) + node_data_dict = node_data.model_dump() + execution = workflow_service.run_free_workflow_node( + node_data_dict, + tenant_id=tenant_id, + user_id=user_id, + node_id=node_id, + user_inputs={ + f"{node_id}.query": query, + }, + ) + + return { + "inputs": execution.inputs_dict, + "outputs": execution.outputs_dict, + "process_data": execution.process_data_dict, + } diff --git a/api/core/plugin/backwards_invocation/tool.py b/api/core/plugin/backwards_invocation/tool.py new file mode 100644 index 00000000000000..1d62743f132981 --- /dev/null +++ b/api/core/plugin/backwards_invocation/tool.py @@ -0,0 +1,45 @@ +from collections.abc import Generator +from typing import Any + +from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler +from core.plugin.backwards_invocation.base import BaseBackwardsInvocation +from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType +from core.tools.tool_engine import ToolEngine +from core.tools.tool_manager import ToolManager +from core.tools.utils.message_transformer import ToolFileMessageTransformer + + +class PluginToolBackwardsInvocation(BaseBackwardsInvocation): + """ + Backwards invocation for plugin tools. + """ + + @classmethod + def invoke_tool( + cls, + tenant_id: str, + user_id: str, + tool_type: ToolProviderType, + provider: str, + tool_name: str, + tool_parameters: dict[str, Any], + ) -> Generator[ToolInvokeMessage, None, None]: + """ + invoke tool + """ + # get tool runtime + try: + tool_runtime = ToolManager.get_tool_runtime_from_plugin( + tool_type, tenant_id, provider, tool_name, tool_parameters + ) + response = ToolEngine.generic_invoke( + tool_runtime, tool_parameters, user_id, DifyWorkflowCallbackHandler(), workflow_call_depth=1 + ) + + response = ToolFileMessageTransformer.transform_tool_invoke_messages( + response, user_id=user_id, tenant_id=tenant_id + ) + + return response + except Exception as e: + raise e diff --git a/api/core/plugin/entities/base.py b/api/core/plugin/entities/base.py new file mode 100644 index 00000000000000..bfec0d43025b93 --- /dev/null +++ b/api/core/plugin/entities/base.py @@ -0,0 +1,9 @@ +from datetime import datetime + +from pydantic import BaseModel + + +class BasePluginEntity(BaseModel): + id: str + created_at: datetime + updated_at: datetime diff --git a/api/core/plugin/entities/bundle.py b/api/core/plugin/entities/bundle.py new file mode 100644 index 00000000000000..83d72d5dfa9e9b --- /dev/null +++ b/api/core/plugin/entities/bundle.py @@ -0,0 +1,30 @@ +from enum import StrEnum + +from pydantic import BaseModel + +from core.plugin.entities.plugin import PluginDeclaration, PluginInstallationSource + + +class PluginBundleDependency(BaseModel): + class Type(StrEnum): + Github = PluginInstallationSource.Github.value + Marketplace = PluginInstallationSource.Marketplace.value + Package = PluginInstallationSource.Package.value + + class Github(BaseModel): + repo_address: str + repo: str + release: str + packages: str + + class Marketplace(BaseModel): + organization: str + plugin: str + version: str + + class Package(BaseModel): + unique_identifier: str + manifest: PluginDeclaration + + type: Type + value: Github | Marketplace | Package diff --git a/api/core/plugin/entities/endpoint.py b/api/core/plugin/entities/endpoint.py new file mode 100644 index 00000000000000..6c6c8bf9bc4fc7 --- /dev/null +++ b/api/core/plugin/entities/endpoint.py @@ -0,0 +1,54 @@ +from datetime import datetime +from typing import Optional + +from pydantic import BaseModel, Field, model_validator + +from configs import dify_config +from core.entities.provider_entities import ProviderConfig +from core.plugin.entities.base import BasePluginEntity + + +class EndpointDeclaration(BaseModel): + """ + declaration of an endpoint + """ + + path: str + method: str + hidden: bool = Field(default=False) + + +class EndpointProviderDeclaration(BaseModel): + """ + declaration of an endpoint group + """ + + settings: list[ProviderConfig] = Field(default_factory=list) + endpoints: Optional[list[EndpointDeclaration]] = Field(default_factory=list) + + +class EndpointEntity(BasePluginEntity): + """ + entity of an endpoint + """ + + settings: dict + tenant_id: str + plugin_id: str + expired_at: datetime + declaration: EndpointProviderDeclaration = Field(default_factory=EndpointProviderDeclaration) + + +class EndpointEntityWithInstance(EndpointEntity): + name: str + enabled: bool + url: str + hook_id: str + + @model_validator(mode="before") + @classmethod + def render_url_template(cls, values): + if "url" not in values: + url_template = dify_config.ENDPOINT_URL_TEMPLATE + values["url"] = url_template.replace("{hook_id}", values["hook_id"]) + return values diff --git a/api/core/plugin/entities/marketplace.py b/api/core/plugin/entities/marketplace.py new file mode 100644 index 00000000000000..a19a44aa3c6077 --- /dev/null +++ b/api/core/plugin/entities/marketplace.py @@ -0,0 +1,45 @@ +from typing import Optional + +from pydantic import BaseModel, Field, model_validator + +from core.model_runtime.entities.provider_entities import ProviderEntity +from core.plugin.entities.endpoint import EndpointProviderDeclaration +from core.plugin.entities.plugin import PluginResourceRequirements +from core.tools.entities.common_entities import I18nObject +from core.tools.entities.tool_entities import ToolProviderEntity + + +class MarketplacePluginDeclaration(BaseModel): + name: str = Field(..., description="Unique identifier for the plugin within the marketplace") + org: str = Field(..., description="Organization or developer responsible for creating and maintaining the plugin") + plugin_id: str = Field(..., description="Globally unique identifier for the plugin across all marketplaces") + icon: str = Field(..., description="URL or path to the plugin's visual representation") + label: I18nObject = Field(..., description="Localized display name for the plugin in different languages") + brief: I18nObject = Field(..., description="Short, localized description of the plugin's functionality") + resource: PluginResourceRequirements = Field( + ..., description="Specification of computational resources needed to run the plugin" + ) + endpoint: Optional[EndpointProviderDeclaration] = Field( + None, description="Configuration for the plugin's API endpoint, if applicable" + ) + model: Optional[ProviderEntity] = Field(None, description="Details of the AI model used by the plugin, if any") + tool: Optional[ToolProviderEntity] = Field( + None, description="Information about the tool functionality provided by the plugin, if any" + ) + latest_version: str = Field( + ..., description="Most recent version number of the plugin available in the marketplace" + ) + latest_package_identifier: str = Field( + ..., description="Unique identifier for the latest package release of the plugin" + ) + + @model_validator(mode="before") + @classmethod + def transform_declaration(cls, data: dict): + if "endpoint" in data and not data["endpoint"]: + del data["endpoint"] + if "model" in data and not data["model"]: + del data["model"] + if "tool" in data and not data["tool"]: + del data["tool"] + return data diff --git a/api/core/plugin/entities/parameters.py b/api/core/plugin/entities/parameters.py new file mode 100644 index 00000000000000..7bfa616c1143b6 --- /dev/null +++ b/api/core/plugin/entities/parameters.py @@ -0,0 +1,162 @@ +import enum +from typing import Any, Optional, Union + +from pydantic import BaseModel, Field, field_validator + +from core.entities.parameter_entities import CommonParameterType +from core.tools.entities.common_entities import I18nObject + + +class PluginParameterOption(BaseModel): + value: str = Field(..., description="The value of the option") + label: I18nObject = Field(..., description="The label of the option") + + @field_validator("value", mode="before") + @classmethod + def transform_id_to_str(cls, value) -> str: + if not isinstance(value, str): + return str(value) + else: + return value + + +class PluginParameterType(enum.StrEnum): + """ + all available parameter types + """ + + STRING = CommonParameterType.STRING.value + NUMBER = CommonParameterType.NUMBER.value + BOOLEAN = CommonParameterType.BOOLEAN.value + SELECT = CommonParameterType.SELECT.value + SECRET_INPUT = CommonParameterType.SECRET_INPUT.value + FILE = CommonParameterType.FILE.value + FILES = CommonParameterType.FILES.value + APP_SELECTOR = CommonParameterType.APP_SELECTOR.value + MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value + TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR.value + + # deprecated, should not use. + SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value + + +class PluginParameterAutoGenerate(BaseModel): + class Type(enum.StrEnum): + PROMPT_INSTRUCTION = "prompt_instruction" + + type: Type + + +class PluginParameterTemplate(BaseModel): + enabled: bool = Field(default=False, description="Whether the parameter is jinja enabled") + + +class PluginParameter(BaseModel): + name: str = Field(..., description="The name of the parameter") + label: I18nObject = Field(..., description="The label presented to the user") + placeholder: Optional[I18nObject] = Field(default=None, description="The placeholder presented to the user") + scope: str | None = None + auto_generate: Optional[PluginParameterAutoGenerate] = None + template: Optional[PluginParameterTemplate] = None + required: bool = False + default: Optional[Union[float, int, str]] = None + min: Optional[Union[float, int]] = None + max: Optional[Union[float, int]] = None + precision: Optional[int] = None + options: list[PluginParameterOption] = Field(default_factory=list) + + @field_validator("options", mode="before") + @classmethod + def transform_options(cls, v): + if not isinstance(v, list): + return [] + return v + + +def as_normal_type(typ: enum.StrEnum): + if typ.value in { + PluginParameterType.SECRET_INPUT, + PluginParameterType.SELECT, + }: + return "string" + return typ.value + + +def cast_parameter_value(typ: enum.StrEnum, value: Any, /): + try: + match typ.value: + case PluginParameterType.STRING | PluginParameterType.SECRET_INPUT | PluginParameterType.SELECT: + if value is None: + return "" + else: + return value if isinstance(value, str) else str(value) + + case PluginParameterType.BOOLEAN: + if value is None: + return False + elif isinstance(value, str): + # Allowed YAML boolean value strings: https://yaml.org/type/bool.html + # and also '0' for False and '1' for True + match value.lower(): + case "true" | "yes" | "y" | "1": + return True + case "false" | "no" | "n" | "0": + return False + case _: + return bool(value) + else: + return value if isinstance(value, bool) else bool(value) + + case PluginParameterType.NUMBER: + if isinstance(value, int | float): + return value + elif isinstance(value, str) and value: + if "." in value: + return float(value) + else: + return int(value) + case PluginParameterType.SYSTEM_FILES | PluginParameterType.FILES: + if not isinstance(value, list): + return [value] + return value + case PluginParameterType.FILE: + if isinstance(value, list): + if len(value) != 1: + raise ValueError("This parameter only accepts one file but got multiple files while invoking.") + else: + return value[0] + return value + case PluginParameterType.MODEL_SELECTOR | PluginParameterType.APP_SELECTOR: + if not isinstance(value, dict): + raise ValueError("The selector must be a dictionary.") + return value + case PluginParameterType.TOOLS_SELECTOR: + if not isinstance(value, list): + raise ValueError("The tools selector must be a list.") + return value + case _: + return str(value) + except ValueError: + raise + except Exception: + raise ValueError(f"The tool parameter value {value} is not in correct type of {as_normal_type(typ)}.") + + +def init_frontend_parameter(rule: PluginParameter, type: enum.StrEnum, value: Any): + """ + init frontend parameter by rule + """ + parameter_value = value + if not parameter_value and parameter_value != 0: + # get default value + parameter_value = rule.default + if not parameter_value and rule.required: + raise ValueError(f"tool parameter {rule.name} not found in tool config") + + if type == PluginParameterType.SELECT: + # check if tool_parameter_config in options + options = [x.value for x in rule.options] + if parameter_value is not None and parameter_value not in options: + raise ValueError(f"tool parameter {rule.name} value {parameter_value} not in options {options}") + + return cast_parameter_value(type, parameter_value) diff --git a/api/core/plugin/entities/plugin.py b/api/core/plugin/entities/plugin.py new file mode 100644 index 00000000000000..632c9727b0c66f --- /dev/null +++ b/api/core/plugin/entities/plugin.py @@ -0,0 +1,220 @@ +import datetime +import enum +import re +from collections.abc import Mapping +from typing import Any, Optional + +from pydantic import BaseModel, Field, model_validator + +from core.agent.plugin_entities import AgentStrategyProviderEntity +from core.model_runtime.entities.provider_entities import ProviderEntity +from core.plugin.entities.base import BasePluginEntity +from core.plugin.entities.endpoint import EndpointProviderDeclaration +from core.tools.entities.common_entities import I18nObject +from core.tools.entities.tool_entities import ToolProviderEntity + + +class PluginInstallationSource(enum.StrEnum): + Github = "github" + Marketplace = "marketplace" + Package = "package" + Remote = "remote" + + +class PluginResourceRequirements(BaseModel): + memory: int + + class Permission(BaseModel): + class Tool(BaseModel): + enabled: Optional[bool] = Field(default=False) + + class Model(BaseModel): + enabled: Optional[bool] = Field(default=False) + llm: Optional[bool] = Field(default=False) + text_embedding: Optional[bool] = Field(default=False) + rerank: Optional[bool] = Field(default=False) + tts: Optional[bool] = Field(default=False) + speech2text: Optional[bool] = Field(default=False) + moderation: Optional[bool] = Field(default=False) + + class Node(BaseModel): + enabled: Optional[bool] = Field(default=False) + + class Endpoint(BaseModel): + enabled: Optional[bool] = Field(default=False) + + class Storage(BaseModel): + enabled: Optional[bool] = Field(default=False) + size: int = Field(ge=1024, le=1073741824, default=1048576) + + tool: Optional[Tool] = Field(default=None) + model: Optional[Model] = Field(default=None) + node: Optional[Node] = Field(default=None) + endpoint: Optional[Endpoint] = Field(default=None) + storage: Storage = Field(default=None) + + permission: Optional[Permission] = Field(default=None) + + +class PluginCategory(enum.StrEnum): + Tool = "tool" + Model = "model" + Extension = "extension" + AgentStrategy = "agent-strategy" + + +class PluginDeclaration(BaseModel): + class Plugins(BaseModel): + tools: Optional[list[str]] = Field(default_factory=list) + models: Optional[list[str]] = Field(default_factory=list) + endpoints: Optional[list[str]] = Field(default_factory=list) + + version: str = Field(..., pattern=r"^\d{1,4}(\.\d{1,4}){1,3}(-\w{1,16})?$") + author: Optional[str] = Field(..., pattern=r"^[a-zA-Z0-9_-]{1,64}$") + name: str = Field(..., pattern=r"^[a-z0-9_-]{1,128}$") + description: I18nObject + icon: str + label: I18nObject + category: PluginCategory + created_at: datetime.datetime + resource: PluginResourceRequirements + plugins: Plugins + tags: list[str] = Field(default_factory=list) + verified: bool = Field(default=False) + tool: Optional[ToolProviderEntity] = None + model: Optional[ProviderEntity] = None + endpoint: Optional[EndpointProviderDeclaration] = None + agent_strategy: Optional[AgentStrategyProviderEntity] = None + + @model_validator(mode="before") + @classmethod + def validate_category(cls, values: dict) -> dict: + # auto detect category + if values.get("tool"): + values["category"] = PluginCategory.Tool + elif values.get("model"): + values["category"] = PluginCategory.Model + elif values.get("agent_strategy"): + values["category"] = PluginCategory.AgentStrategy + else: + values["category"] = PluginCategory.Extension + return values + + +class PluginInstallation(BasePluginEntity): + tenant_id: str + endpoints_setups: int + endpoints_active: int + runtime_type: str + source: PluginInstallationSource + meta: Mapping[str, Any] + plugin_id: str + plugin_unique_identifier: str + version: str + checksum: str + declaration: PluginDeclaration + + +class PluginEntity(PluginInstallation): + name: str + installation_id: str + version: str + latest_version: Optional[str] = None + latest_unique_identifier: Optional[str] = None + + @model_validator(mode="after") + def set_plugin_id(self): + if self.declaration.tool: + self.declaration.tool.plugin_id = self.plugin_id + return self + + +class GithubPackage(BaseModel): + repo: str + version: str + package: str + + +class GithubVersion(BaseModel): + repo: str + version: str + + +class GenericProviderID: + organization: str + plugin_name: str + provider_name: str + is_hardcoded: bool + + def to_string(self) -> str: + return str(self) + + def __str__(self) -> str: + return f"{self.organization}/{self.plugin_name}/{self.provider_name}" + + def __init__(self, value: str, is_hardcoded: bool = False) -> None: + # check if the value is a valid plugin id with format: $organization/$plugin_name/$provider_name + if not re.match(r"^[a-z0-9_-]+\/[a-z0-9_-]+\/[a-z0-9_-]+$", value): + # check if matches [a-z0-9_-]+, if yes, append with langgenius/$value/$value + if re.match(r"^[a-z0-9_-]+$", value): + value = f"langgenius/{value}/{value}" + else: + raise ValueError(f"Invalid plugin id {value}") + + self.organization, self.plugin_name, self.provider_name = value.split("/") + self.is_hardcoded = is_hardcoded + + @property + def plugin_id(self) -> str: + return f"{self.organization}/{self.plugin_name}" + + +class ModelProviderID(GenericProviderID): + def __init__(self, value: str, is_hardcoded: bool = False) -> None: + super().__init__(value, is_hardcoded) + if self.organization == "langgenius" and self.provider_name == "google": + self.plugin_name = "gemini" + + +class ToolProviderID(GenericProviderID): + def __init__(self, value: str, is_hardcoded: bool = False) -> None: + super().__init__(value, is_hardcoded) + if self.organization == "langgenius": + if self.provider_name in ["jina", "siliconflow"]: + self.plugin_name = f"{self.provider_name}_tool" + + +class PluginDependency(BaseModel): + class Type(enum.StrEnum): + Github = PluginInstallationSource.Github.value + Marketplace = PluginInstallationSource.Marketplace.value + Package = PluginInstallationSource.Package.value + + class Github(BaseModel): + repo: str + version: str + package: str + github_plugin_unique_identifier: str + + @property + def plugin_unique_identifier(self) -> str: + return self.github_plugin_unique_identifier + + class Marketplace(BaseModel): + marketplace_plugin_unique_identifier: str + + @property + def plugin_unique_identifier(self) -> str: + return self.marketplace_plugin_unique_identifier + + class Package(BaseModel): + plugin_unique_identifier: str + + type: Type + value: Github | Marketplace | Package + current_identifier: Optional[str] = None + + +class MissingPluginDependency(BaseModel): + plugin_unique_identifier: str + current_identifier: Optional[str] = None diff --git a/api/core/plugin/entities/plugin_daemon.py b/api/core/plugin/entities/plugin_daemon.py new file mode 100644 index 00000000000000..1588cbc3c7342a --- /dev/null +++ b/api/core/plugin/entities/plugin_daemon.py @@ -0,0 +1,160 @@ +from datetime import datetime +from enum import StrEnum +from typing import Generic, Optional, TypeVar + +from pydantic import BaseModel, ConfigDict, Field + +from core.agent.plugin_entities import AgentProviderEntityWithPlugin +from core.model_runtime.entities.model_entities import AIModelEntity +from core.model_runtime.entities.provider_entities import ProviderEntity +from core.plugin.entities.base import BasePluginEntity +from core.plugin.entities.plugin import PluginDeclaration +from core.tools.entities.common_entities import I18nObject +from core.tools.entities.tool_entities import ToolProviderEntityWithPlugin + +T = TypeVar("T", bound=(BaseModel | dict | list | bool | str)) + + +class PluginDaemonBasicResponse(BaseModel, Generic[T]): + """ + Basic response from plugin daemon. + """ + + code: int + message: str + data: Optional[T] + + +class InstallPluginMessage(BaseModel): + """ + Message for installing a plugin. + """ + + class Event(StrEnum): + Info = "info" + Done = "done" + Error = "error" + + event: Event + data: str + + +class PluginToolProviderEntity(BaseModel): + provider: str + plugin_unique_identifier: str + plugin_id: str + declaration: ToolProviderEntityWithPlugin + + +class PluginAgentProviderEntity(BaseModel): + provider: str + plugin_unique_identifier: str + plugin_id: str + declaration: AgentProviderEntityWithPlugin + + +class PluginBasicBooleanResponse(BaseModel): + """ + Basic boolean response from plugin daemon. + """ + + result: bool + credentials: dict | None = None + + +class PluginModelSchemaEntity(BaseModel): + model_schema: AIModelEntity = Field(description="The model schema.") + + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + + +class PluginModelProviderEntity(BaseModel): + id: str = Field(description="ID") + created_at: datetime = Field(description="The created at time of the model provider.") + updated_at: datetime = Field(description="The updated at time of the model provider.") + provider: str = Field(description="The provider of the model.") + tenant_id: str = Field(description="The tenant ID.") + plugin_unique_identifier: str = Field(description="The plugin unique identifier.") + plugin_id: str = Field(description="The plugin ID.") + declaration: ProviderEntity = Field(description="The declaration of the model provider.") + + +class PluginTextEmbeddingNumTokensResponse(BaseModel): + """ + Response for number of tokens. + """ + + num_tokens: list[int] = Field(description="The number of tokens.") + + +class PluginLLMNumTokensResponse(BaseModel): + """ + Response for number of tokens. + """ + + num_tokens: int = Field(description="The number of tokens.") + + +class PluginStringResultResponse(BaseModel): + result: str = Field(description="The result of the string.") + + +class PluginVoiceEntity(BaseModel): + name: str = Field(description="The name of the voice.") + value: str = Field(description="The value of the voice.") + + +class PluginVoicesResponse(BaseModel): + voices: list[PluginVoiceEntity] = Field(description="The result of the voices.") + + +class PluginDaemonError(BaseModel): + """ + Error from plugin daemon. + """ + + error_type: str + message: str + + +class PluginDaemonInnerError(Exception): + code: int + message: str + + def __init__(self, code: int, message: str): + self.code = code + self.message = message + + +class PluginInstallTaskStatus(StrEnum): + Pending = "pending" + Running = "running" + Success = "success" + Failed = "failed" + + +class PluginInstallTaskPluginStatus(BaseModel): + plugin_unique_identifier: str = Field(description="The plugin unique identifier of the install task.") + plugin_id: str = Field(description="The plugin ID of the install task.") + status: PluginInstallTaskStatus = Field(description="The status of the install task.") + message: str = Field(description="The message of the install task.") + icon: str = Field(description="The icon of the plugin.") + labels: I18nObject = Field(description="The labels of the plugin.") + + +class PluginInstallTask(BasePluginEntity): + status: PluginInstallTaskStatus = Field(description="The status of the install task.") + total_plugins: int = Field(description="The total number of plugins to be installed.") + completed_plugins: int = Field(description="The number of plugins that have been installed.") + plugins: list[PluginInstallTaskPluginStatus] = Field(description="The status of the plugins.") + + +class PluginInstallTaskStartResponse(BaseModel): + all_installed: bool = Field(description="Whether all plugins are installed.") + task_id: str = Field(description="The ID of the install task.") + + +class PluginUploadResponse(BaseModel): + unique_identifier: str = Field(description="The unique identifier of the plugin.") + manifest: PluginDeclaration diff --git a/api/core/plugin/entities/request.py b/api/core/plugin/entities/request.py new file mode 100644 index 00000000000000..837dcf59c49709 --- /dev/null +++ b/api/core/plugin/entities/request.py @@ -0,0 +1,206 @@ +from typing import Any, Literal, Optional + +from pydantic import BaseModel, ConfigDict, Field, field_validator + +from core.entities.provider_entities import BasicProviderConfig +from core.model_runtime.entities.message_entities import ( + AssistantPromptMessage, + PromptMessage, + PromptMessageRole, + PromptMessageTool, + SystemPromptMessage, + ToolPromptMessage, + UserPromptMessage, +) +from core.model_runtime.entities.model_entities import ModelType +from core.workflow.nodes.parameter_extractor.entities import ( + ModelConfig as ParameterExtractorModelConfig, +) +from core.workflow.nodes.parameter_extractor.entities import ( + ParameterConfig, +) +from core.workflow.nodes.question_classifier.entities import ( + ClassConfig, +) +from core.workflow.nodes.question_classifier.entities import ( + ModelConfig as QuestionClassifierModelConfig, +) + + +class RequestInvokeTool(BaseModel): + """ + Request to invoke a tool + """ + + tool_type: Literal["builtin", "workflow", "api"] + provider: str + tool: str + tool_parameters: dict + + +class BaseRequestInvokeModel(BaseModel): + provider: str + model: str + model_type: ModelType + + model_config = ConfigDict(protected_namespaces=()) + + +class RequestInvokeLLM(BaseRequestInvokeModel): + """ + Request to invoke LLM + """ + + model_type: ModelType = ModelType.LLM + mode: str + completion_params: dict[str, Any] = Field(default_factory=dict) + prompt_messages: list[PromptMessage] = Field(default_factory=list) + tools: Optional[list[PromptMessageTool]] = Field(default_factory=list) + stop: Optional[list[str]] = Field(default_factory=list) + stream: Optional[bool] = False + + model_config = ConfigDict(protected_namespaces=()) + + @field_validator("prompt_messages", mode="before") + @classmethod + def convert_prompt_messages(cls, v): + if not isinstance(v, list): + raise ValueError("prompt_messages must be a list") + + for i in range(len(v)): + if v[i]["role"] == PromptMessageRole.USER.value: + v[i] = UserPromptMessage(**v[i]) + elif v[i]["role"] == PromptMessageRole.ASSISTANT.value: + v[i] = AssistantPromptMessage(**v[i]) + elif v[i]["role"] == PromptMessageRole.SYSTEM.value: + v[i] = SystemPromptMessage(**v[i]) + elif v[i]["role"] == PromptMessageRole.TOOL.value: + v[i] = ToolPromptMessage(**v[i]) + else: + v[i] = PromptMessage(**v[i]) + + return v + + +class RequestInvokeTextEmbedding(BaseRequestInvokeModel): + """ + Request to invoke text embedding + """ + + model_type: ModelType = ModelType.TEXT_EMBEDDING + texts: list[str] + + +class RequestInvokeRerank(BaseRequestInvokeModel): + """ + Request to invoke rerank + """ + + model_type: ModelType = ModelType.RERANK + query: str + docs: list[str] + score_threshold: float + top_n: int + + +class RequestInvokeTTS(BaseRequestInvokeModel): + """ + Request to invoke TTS + """ + + model_type: ModelType = ModelType.TTS + content_text: str + voice: str + + +class RequestInvokeSpeech2Text(BaseRequestInvokeModel): + """ + Request to invoke speech2text + """ + + model_type: ModelType = ModelType.SPEECH2TEXT + file: bytes + + @field_validator("file", mode="before") + @classmethod + def convert_file(cls, v): + # hex string to bytes + if isinstance(v, str): + return bytes.fromhex(v) + else: + raise ValueError("file must be a hex string") + + +class RequestInvokeModeration(BaseRequestInvokeModel): + """ + Request to invoke moderation + """ + + model_type: ModelType = ModelType.MODERATION + text: str + + +class RequestInvokeParameterExtractorNode(BaseModel): + """ + Request to invoke parameter extractor node + """ + + parameters: list[ParameterConfig] + model: ParameterExtractorModelConfig + instruction: str + query: str + + +class RequestInvokeQuestionClassifierNode(BaseModel): + """ + Request to invoke question classifier node + """ + + query: str + model: QuestionClassifierModelConfig + classes: list[ClassConfig] + instruction: str + + +class RequestInvokeApp(BaseModel): + """ + Request to invoke app + """ + + app_id: str + inputs: dict[str, Any] + query: Optional[str] = None + response_mode: Literal["blocking", "streaming"] + conversation_id: Optional[str] = None + user: Optional[str] = None + files: list[dict] = Field(default_factory=list) + + +class RequestInvokeEncrypt(BaseModel): + """ + Request to encryption + """ + + opt: Literal["encrypt", "decrypt", "clear"] + namespace: Literal["endpoint"] + identity: str + data: dict = Field(default_factory=dict) + config: list[BasicProviderConfig] = Field(default_factory=list) + + +class RequestInvokeSummary(BaseModel): + """ + Request to summary + """ + + text: str + instruction: str + + +class RequestRequestUploadFile(BaseModel): + """ + Request to upload file + """ + + filename: str + mimetype: str diff --git a/api/core/plugin/manager/agent.py b/api/core/plugin/manager/agent.py new file mode 100644 index 00000000000000..50172f12f21081 --- /dev/null +++ b/api/core/plugin/manager/agent.py @@ -0,0 +1,113 @@ +from collections.abc import Generator +from typing import Any, Optional + +from core.agent.entities import AgentInvokeMessage +from core.plugin.entities.plugin import GenericProviderID +from core.plugin.entities.plugin_daemon import ( + PluginAgentProviderEntity, +) +from core.plugin.manager.base import BasePluginManager + + +class PluginAgentManager(BasePluginManager): + def fetch_agent_strategy_providers(self, tenant_id: str) -> list[PluginAgentProviderEntity]: + """ + Fetch agent providers for the given tenant. + """ + + def transformer(json_response: dict[str, Any]) -> dict: + for provider in json_response.get("data", []): + declaration = provider.get("declaration", {}) or {} + provider_name = declaration.get("identity", {}).get("name") + for strategy in declaration.get("strategies", []): + strategy["identity"]["provider"] = provider_name + + return json_response + + response = self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/agent_strategies", + list[PluginAgentProviderEntity], + params={"page": 1, "page_size": 256}, + transformer=transformer, + ) + + for provider in response: + provider.declaration.identity.name = f"{provider.plugin_id}/{provider.declaration.identity.name}" + + # override the provider name for each tool to plugin_id/provider_name + for strategy in provider.declaration.strategies: + strategy.identity.provider = provider.declaration.identity.name + + return response + + def fetch_agent_strategy_provider(self, tenant_id: str, provider: str) -> PluginAgentProviderEntity: + """ + Fetch tool provider for the given tenant and plugin. + """ + agent_provider_id = GenericProviderID(provider) + + def transformer(json_response: dict[str, Any]) -> dict: + # skip if error occurs + if json_response.get("data") is None or json_response.get("data", {}).get("declaration") is None: + return json_response + + for strategy in json_response.get("data", {}).get("declaration", {}).get("strategies", []): + strategy["identity"]["provider"] = agent_provider_id.provider_name + + return json_response + + response = self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/agent_strategy", + PluginAgentProviderEntity, + params={"provider": agent_provider_id.provider_name, "plugin_id": agent_provider_id.plugin_id}, + transformer=transformer, + ) + + response.declaration.identity.name = f"{response.plugin_id}/{response.declaration.identity.name}" + + # override the provider name for each tool to plugin_id/provider_name + for strategy in response.declaration.strategies: + strategy.identity.provider = response.declaration.identity.name + + return response + + def invoke( + self, + tenant_id: str, + user_id: str, + agent_provider: str, + agent_strategy: str, + agent_params: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[AgentInvokeMessage, None, None]: + """ + Invoke the agent with the given tenant, user, plugin, provider, name and parameters. + """ + + agent_provider_id = GenericProviderID(agent_provider) + + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/agent_strategy/invoke", + AgentInvokeMessage, + data={ + "user_id": user_id, + "conversation_id": conversation_id, + "app_id": app_id, + "message_id": message_id, + "data": { + "agent_strategy_provider": agent_provider_id.provider_name, + "agent_strategy": agent_strategy, + "agent_strategy_params": agent_params, + }, + }, + headers={ + "X-Plugin-ID": agent_provider_id.plugin_id, + "Content-Type": "application/json", + }, + ) + return response diff --git a/api/core/plugin/manager/asset.py b/api/core/plugin/manager/asset.py new file mode 100644 index 00000000000000..17755d35611727 --- /dev/null +++ b/api/core/plugin/manager/asset.py @@ -0,0 +1,12 @@ +from core.plugin.manager.base import BasePluginManager + + +class PluginAssetManager(BasePluginManager): + def fetch_asset(self, tenant_id: str, id: str) -> bytes: + """ + Fetch an asset by id. + """ + response = self._request(method="GET", path=f"plugin/{tenant_id}/asset/{id}") + if response.status_code != 200: + raise ValueError(f"can not found asset {id}") + return response.content diff --git a/api/core/plugin/manager/base.py b/api/core/plugin/manager/base.py new file mode 100644 index 00000000000000..7985aa68dad7ba --- /dev/null +++ b/api/core/plugin/manager/base.py @@ -0,0 +1,237 @@ +import inspect +import json +import logging +from collections.abc import Callable, Generator +from typing import TypeVar + +import requests +from pydantic import BaseModel +from yarl import URL + +from configs import dify_config +from core.model_runtime.errors.invoke import ( + InvokeAuthorizationError, + InvokeBadRequestError, + InvokeConnectionError, + InvokeRateLimitError, + InvokeServerUnavailableError, +) +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.plugin.entities.plugin_daemon import PluginDaemonBasicResponse, PluginDaemonError, PluginDaemonInnerError +from core.plugin.manager.exc import ( + PluginDaemonBadRequestError, + PluginDaemonInternalServerError, + PluginDaemonNotFoundError, + PluginDaemonUnauthorizedError, + PluginInvokeError, + PluginNotFoundError, + PluginPermissionDeniedError, + PluginUniqueIdentifierError, +) + +plugin_daemon_inner_api_baseurl = dify_config.PLUGIN_DAEMON_URL +plugin_daemon_inner_api_key = dify_config.PLUGIN_DAEMON_KEY + +T = TypeVar("T", bound=(BaseModel | dict | list | bool | str)) + +logger = logging.getLogger(__name__) + + +class BasePluginManager: + def _request( + self, + method: str, + path: str, + headers: dict | None = None, + data: bytes | dict | str | None = None, + params: dict | None = None, + files: dict | None = None, + stream: bool = False, + ) -> requests.Response: + """ + Make a request to the plugin daemon inner API. + """ + url = URL(str(plugin_daemon_inner_api_baseurl)) / path + headers = headers or {} + headers["X-Api-Key"] = plugin_daemon_inner_api_key + headers["Accept-Encoding"] = "gzip, deflate, br" + + if headers.get("Content-Type") == "application/json" and isinstance(data, dict): + data = json.dumps(data) + + try: + response = requests.request( + method=method, url=str(url), headers=headers, data=data, params=params, stream=stream, files=files + ) + except requests.exceptions.ConnectionError: + logger.exception("Request to Plugin Daemon Service failed") + raise PluginDaemonInnerError(code=-500, message="Request to Plugin Daemon Service failed") + + return response + + def _stream_request( + self, + method: str, + path: str, + params: dict | None = None, + headers: dict | None = None, + data: bytes | dict | None = None, + files: dict | None = None, + ) -> Generator[bytes, None, None]: + """ + Make a stream request to the plugin daemon inner API + """ + response = self._request(method, path, headers, data, params, files, stream=True) + for line in response.iter_lines(): + line = line.decode("utf-8").strip() + if line.startswith("data:"): + line = line[5:].strip() + if line: + yield line + + def _stream_request_with_model( + self, + method: str, + path: str, + type: type[T], + headers: dict | None = None, + data: bytes | dict | None = None, + params: dict | None = None, + files: dict | None = None, + ) -> Generator[T, None, None]: + """ + Make a stream request to the plugin daemon inner API and yield the response as a model. + """ + for line in self._stream_request(method, path, params, headers, data, files): + yield type(**json.loads(line)) # type: ignore + + def _request_with_model( + self, + method: str, + path: str, + type: type[T], + headers: dict | None = None, + data: bytes | None = None, + params: dict | None = None, + files: dict | None = None, + ) -> T: + """ + Make a request to the plugin daemon inner API and return the response as a model. + """ + response = self._request(method, path, headers, data, params, files) + return type(**response.json()) # type: ignore + + def _request_with_plugin_daemon_response( + self, + method: str, + path: str, + type: type[T], + headers: dict | None = None, + data: bytes | dict | None = None, + params: dict | None = None, + files: dict | None = None, + transformer: Callable[[dict], dict] | None = None, + ) -> T: + """ + Make a request to the plugin daemon inner API and return the response as a model. + """ + response = self._request(method, path, headers, data, params, files) + json_response = response.json() + if transformer: + json_response = transformer(json_response) + + rep = PluginDaemonBasicResponse[type](**json_response) # type: ignore + if rep.code != 0: + try: + error = PluginDaemonError(**json.loads(rep.message)) + except Exception: + raise ValueError(f"{rep.message}, code: {rep.code}") + + self._handle_plugin_daemon_error(error.error_type, error.message) + if rep.data is None: + frame = inspect.currentframe() + raise ValueError(f"got empty data from plugin daemon: {frame.f_lineno if frame else 'unknown'}") + + return rep.data + + def _request_with_plugin_daemon_response_stream( + self, + method: str, + path: str, + type: type[T], + headers: dict | None = None, + data: bytes | dict | None = None, + params: dict | None = None, + files: dict | None = None, + ) -> Generator[T, None, None]: + """ + Make a stream request to the plugin daemon inner API and yield the response as a model. + """ + for line in self._stream_request(method, path, params, headers, data, files): + line_data = None + try: + line_data = json.loads(line) + rep = PluginDaemonBasicResponse[type](**line_data) # type: ignore + except Exception: + # TODO modify this when line_data has code and message + if line_data and "error" in line_data: + raise ValueError(line_data["error"]) + else: + raise ValueError(line) + + if rep.code != 0: + if rep.code == -500: + try: + error = PluginDaemonError(**json.loads(rep.message)) + except Exception: + raise PluginDaemonInnerError(code=rep.code, message=rep.message) + + self._handle_plugin_daemon_error(error.error_type, error.message) + raise ValueError(f"plugin daemon: {rep.message}, code: {rep.code}") + if rep.data is None: + frame = inspect.currentframe() + raise ValueError(f"got empty data from plugin daemon: {frame.f_lineno if frame else 'unknown'}") + yield rep.data + + def _handle_plugin_daemon_error(self, error_type: str, message: str): + """ + handle the error from plugin daemon + """ + match error_type: + case PluginDaemonInnerError.__name__: + raise PluginDaemonInnerError(code=-500, message=message) + case PluginInvokeError.__name__: + error_object = json.loads(message) + invoke_error_type = error_object.get("error_type") + args = error_object.get("args") + match invoke_error_type: + case InvokeRateLimitError.__name__: + raise InvokeRateLimitError(description=args.get("description")) + case InvokeAuthorizationError.__name__: + raise InvokeAuthorizationError(description=args.get("description")) + case InvokeBadRequestError.__name__: + raise InvokeBadRequestError(description=args.get("description")) + case InvokeConnectionError.__name__: + raise InvokeConnectionError(description=args.get("description")) + case InvokeServerUnavailableError.__name__: + raise InvokeServerUnavailableError(description=args.get("description")) + case CredentialsValidateFailedError.__name__: + raise CredentialsValidateFailedError(error_object.get("message")) + case _: + raise PluginInvokeError(description=message) + case PluginDaemonInternalServerError.__name__: + raise PluginDaemonInternalServerError(description=message) + case PluginDaemonBadRequestError.__name__: + raise PluginDaemonBadRequestError(description=message) + case PluginDaemonNotFoundError.__name__: + raise PluginDaemonNotFoundError(description=message) + case PluginUniqueIdentifierError.__name__: + raise PluginUniqueIdentifierError(description=message) + case PluginNotFoundError.__name__: + raise PluginNotFoundError(description=message) + case PluginDaemonUnauthorizedError.__name__: + raise PluginDaemonUnauthorizedError(description=message) + case PluginPermissionDeniedError.__name__: + raise PluginPermissionDeniedError(description=message) + case _: + raise Exception(f"got unknown error from plugin daemon: {error_type}, message: {message}") diff --git a/api/core/plugin/manager/debugging.py b/api/core/plugin/manager/debugging.py new file mode 100644 index 00000000000000..fb6bad7fa3132c --- /dev/null +++ b/api/core/plugin/manager/debugging.py @@ -0,0 +1,17 @@ +from pydantic import BaseModel + +from core.plugin.manager.base import BasePluginManager + + +class PluginDebuggingManager(BasePluginManager): + def get_debugging_key(self, tenant_id: str) -> str: + """ + Get the debugging key for the given tenant. + """ + + class Response(BaseModel): + key: str + + response = self._request_with_plugin_daemon_response("POST", f"plugin/{tenant_id}/debugging/key", Response) + + return response.key diff --git a/api/core/plugin/manager/endpoint.py b/api/core/plugin/manager/endpoint.py new file mode 100644 index 00000000000000..415b981ffb4642 --- /dev/null +++ b/api/core/plugin/manager/endpoint.py @@ -0,0 +1,116 @@ +from core.plugin.entities.endpoint import EndpointEntityWithInstance +from core.plugin.manager.base import BasePluginManager + + +class PluginEndpointManager(BasePluginManager): + def create_endpoint( + self, tenant_id: str, user_id: str, plugin_unique_identifier: str, name: str, settings: dict + ) -> bool: + """ + Create an endpoint for the given plugin. + + Errors will be raised if any error occurs. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/endpoint/setup", + bool, + headers={ + "Content-Type": "application/json", + }, + data={ + "user_id": user_id, + "plugin_unique_identifier": plugin_unique_identifier, + "settings": settings, + "name": name, + }, + ) + + def list_endpoints(self, tenant_id: str, user_id: str, page: int, page_size: int): + """ + List all endpoints for the given tenant and user. + """ + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/endpoint/list", + list[EndpointEntityWithInstance], + params={"page": page, "page_size": page_size}, + ) + + def list_endpoints_for_single_plugin(self, tenant_id: str, user_id: str, plugin_id: str, page: int, page_size: int): + """ + List all endpoints for the given tenant, user and plugin. + """ + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/endpoint/list/plugin", + list[EndpointEntityWithInstance], + params={"plugin_id": plugin_id, "page": page, "page_size": page_size}, + ) + + def update_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str, name: str, settings: dict): + """ + Update the settings of the given endpoint. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/endpoint/update", + bool, + data={ + "user_id": user_id, + "endpoint_id": endpoint_id, + "name": name, + "settings": settings, + }, + headers={ + "Content-Type": "application/json", + }, + ) + + def delete_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str): + """ + Delete the given endpoint. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/endpoint/remove", + bool, + data={ + "endpoint_id": endpoint_id, + }, + headers={ + "Content-Type": "application/json", + }, + ) + + def enable_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str): + """ + Enable the given endpoint. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/endpoint/enable", + bool, + data={ + "endpoint_id": endpoint_id, + }, + headers={ + "Content-Type": "application/json", + }, + ) + + def disable_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str): + """ + Disable the given endpoint. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/endpoint/disable", + bool, + data={ + "endpoint_id": endpoint_id, + }, + headers={ + "Content-Type": "application/json", + }, + ) diff --git a/api/core/plugin/manager/exc.py b/api/core/plugin/manager/exc.py new file mode 100644 index 00000000000000..54a0b90a8d55b5 --- /dev/null +++ b/api/core/plugin/manager/exc.py @@ -0,0 +1,49 @@ +class PluginDaemonError(Exception): + """Base class for all plugin daemon errors.""" + + def __init__(self, description: str) -> None: + self.description = description + + def __str__(self) -> str: + # returns the class name and description + return f"{self.__class__.__name__}: {self.description}" + + +class PluginDaemonInternalError(PluginDaemonError): + pass + + +class PluginDaemonClientSideError(PluginDaemonError): + pass + + +class PluginDaemonInternalServerError(PluginDaemonInternalError): + description: str = "Internal Server Error" + + +class PluginDaemonUnauthorizedError(PluginDaemonInternalError): + description: str = "Unauthorized" + + +class PluginDaemonNotFoundError(PluginDaemonInternalError): + description: str = "Not Found" + + +class PluginDaemonBadRequestError(PluginDaemonClientSideError): + description: str = "Bad Request" + + +class PluginInvokeError(PluginDaemonClientSideError): + description: str = "Invoke Error" + + +class PluginUniqueIdentifierError(PluginDaemonClientSideError): + description: str = "Unique Identifier Error" + + +class PluginNotFoundError(PluginDaemonClientSideError): + description: str = "Plugin Not Found" + + +class PluginPermissionDeniedError(PluginDaemonClientSideError): + description: str = "Permission Denied" diff --git a/api/core/plugin/manager/model.py b/api/core/plugin/manager/model.py new file mode 100644 index 00000000000000..5ebc0c2320c3d9 --- /dev/null +++ b/api/core/plugin/manager/model.py @@ -0,0 +1,531 @@ +import binascii +from collections.abc import Generator, Sequence +from typing import IO, Optional + +from core.model_runtime.entities.llm_entities import LLMResultChunk +from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool +from core.model_runtime.entities.model_entities import AIModelEntity +from core.model_runtime.entities.rerank_entities import RerankResult +from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult +from core.model_runtime.utils.encoders import jsonable_encoder +from core.plugin.entities.plugin_daemon import ( + PluginBasicBooleanResponse, + PluginDaemonInnerError, + PluginLLMNumTokensResponse, + PluginModelProviderEntity, + PluginModelSchemaEntity, + PluginStringResultResponse, + PluginTextEmbeddingNumTokensResponse, + PluginVoicesResponse, +) +from core.plugin.manager.base import BasePluginManager + + +class PluginModelManager(BasePluginManager): + def fetch_model_providers(self, tenant_id: str) -> Sequence[PluginModelProviderEntity]: + """ + Fetch model providers for the given tenant. + """ + response = self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/models", + list[PluginModelProviderEntity], + params={"page": 1, "page_size": 256}, + ) + return response + + def get_model_schema( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model_type: str, + model: str, + credentials: dict, + ) -> AIModelEntity | None: + """ + Get model schema + """ + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/model/schema", + PluginModelSchemaEntity, + data={ + "user_id": user_id, + "data": { + "provider": provider, + "model_type": model_type, + "model": model, + "credentials": credentials, + }, + }, + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp.model_schema + + return None + + def validate_provider_credentials( + self, tenant_id: str, user_id: str, plugin_id: str, provider: str, credentials: dict + ) -> bool: + """ + validate the credentials of the provider + """ + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/model/validate_provider_credentials", + PluginBasicBooleanResponse, + data={ + "user_id": user_id, + "data": { + "provider": provider, + "credentials": credentials, + }, + }, + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + if resp.credentials and isinstance(resp.credentials, dict): + credentials.update(resp.credentials) + + return resp.result + + return False + + def validate_model_credentials( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model_type: str, + model: str, + credentials: dict, + ) -> bool: + """ + validate the credentials of the provider + """ + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/model/validate_model_credentials", + PluginBasicBooleanResponse, + data={ + "user_id": user_id, + "data": { + "provider": provider, + "model_type": model_type, + "model": model, + "credentials": credentials, + }, + }, + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + if resp.credentials and isinstance(resp.credentials, dict): + credentials.update(resp.credentials) + + return resp.result + + return False + + def invoke_llm( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + prompt_messages: list[PromptMessage], + model_parameters: Optional[dict] = None, + tools: Optional[list[PromptMessageTool]] = None, + stop: Optional[list[str]] = None, + stream: bool = True, + ) -> Generator[LLMResultChunk, None, None]: + """ + Invoke llm + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/llm/invoke", + type=LLMResultChunk, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "llm", + "model": model, + "credentials": credentials, + "prompt_messages": prompt_messages, + "model_parameters": model_parameters, + "tools": tools, + "stop": stop, + "stream": stream, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + try: + yield from response + except PluginDaemonInnerError as e: + raise ValueError(e.message + str(e.code)) + + def get_llm_num_tokens( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model_type: str, + model: str, + credentials: dict, + prompt_messages: list[PromptMessage], + tools: Optional[list[PromptMessageTool]] = None, + ) -> int: + """ + Get number of tokens for llm + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/llm/num_tokens", + type=PluginLLMNumTokensResponse, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": model_type, + "model": model, + "credentials": credentials, + "prompt_messages": prompt_messages, + "tools": tools, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp.num_tokens + + return 0 + + def invoke_text_embedding( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + texts: list[str], + input_type: str, + ) -> TextEmbeddingResult: + """ + Invoke text embedding + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/text_embedding/invoke", + type=TextEmbeddingResult, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "text-embedding", + "model": model, + "credentials": credentials, + "texts": texts, + "input_type": input_type, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp + + raise ValueError("Failed to invoke text embedding") + + def get_text_embedding_num_tokens( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + texts: list[str], + ) -> list[int]: + """ + Get number of tokens for text embedding + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/text_embedding/num_tokens", + type=PluginTextEmbeddingNumTokensResponse, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "text-embedding", + "model": model, + "credentials": credentials, + "texts": texts, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp.num_tokens + + return [] + + def invoke_rerank( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + query: str, + docs: list[str], + score_threshold: Optional[float] = None, + top_n: Optional[int] = None, + ) -> RerankResult: + """ + Invoke rerank + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/rerank/invoke", + type=RerankResult, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "rerank", + "model": model, + "credentials": credentials, + "query": query, + "docs": docs, + "score_threshold": score_threshold, + "top_n": top_n, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp + + raise ValueError("Failed to invoke rerank") + + def invoke_tts( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + content_text: str, + voice: str, + ) -> Generator[bytes, None, None]: + """ + Invoke tts + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/tts/invoke", + type=PluginStringResultResponse, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "tts", + "model": model, + "credentials": credentials, + "tenant_id": tenant_id, + "content_text": content_text, + "voice": voice, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + try: + for result in response: + hex_str = result.result + yield binascii.unhexlify(hex_str) + except PluginDaemonInnerError as e: + raise ValueError(e.message + str(e.code)) + + def get_tts_model_voices( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + language: Optional[str] = None, + ) -> list[dict]: + """ + Get tts model voices + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/tts/model/voices", + type=PluginVoicesResponse, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "tts", + "model": model, + "credentials": credentials, + "language": language, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + voices = [] + for voice in resp.voices: + voices.append({"name": voice.name, "value": voice.value}) + + return voices + + return [] + + def invoke_speech_to_text( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + file: IO[bytes], + ) -> str: + """ + Invoke speech to text + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/speech2text/invoke", + type=PluginStringResultResponse, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "speech2text", + "model": model, + "credentials": credentials, + "file": binascii.hexlify(file.read()).decode(), + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp.result + + raise ValueError("Failed to invoke speech to text") + + def invoke_moderation( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + text: str, + ) -> bool: + """ + Invoke moderation + """ + response = self._request_with_plugin_daemon_response_stream( + method="POST", + path=f"plugin/{tenant_id}/dispatch/moderation/invoke", + type=PluginBasicBooleanResponse, + data=jsonable_encoder( + { + "user_id": user_id, + "data": { + "provider": provider, + "model_type": "moderation", + "model": model, + "credentials": credentials, + "text": text, + }, + } + ), + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp.result + + raise ValueError("Failed to invoke moderation") diff --git a/api/core/plugin/manager/plugin.py b/api/core/plugin/manager/plugin.py new file mode 100644 index 00000000000000..15dcd6cb347e40 --- /dev/null +++ b/api/core/plugin/manager/plugin.py @@ -0,0 +1,249 @@ +from collections.abc import Sequence + +from core.plugin.entities.bundle import PluginBundleDependency +from core.plugin.entities.plugin import ( + GenericProviderID, + MissingPluginDependency, + PluginDeclaration, + PluginEntity, + PluginInstallation, + PluginInstallationSource, +) +from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginInstallTaskStartResponse, PluginUploadResponse +from core.plugin.manager.base import BasePluginManager + + +class PluginInstallationManager(BasePluginManager): + def fetch_plugin_by_identifier( + self, + tenant_id: str, + identifier: str, + ) -> bool: + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/fetch/identifier", + bool, + params={"plugin_unique_identifier": identifier}, + ) + + def list_plugins(self, tenant_id: str) -> list[PluginEntity]: + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/list", + list[PluginEntity], + params={"page": 1, "page_size": 256}, + ) + + def upload_pkg( + self, + tenant_id: str, + pkg: bytes, + verify_signature: bool = False, + ) -> PluginUploadResponse: + """ + Upload a plugin package and return the plugin unique identifier. + """ + body = { + "dify_pkg": ("dify_pkg", pkg, "application/octet-stream"), + } + + data = { + "verify_signature": "true" if verify_signature else "false", + } + + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/install/upload/package", + PluginUploadResponse, + files=body, + data=data, + ) + + def upload_bundle( + self, + tenant_id: str, + bundle: bytes, + verify_signature: bool = False, + ) -> Sequence[PluginBundleDependency]: + """ + Upload a plugin bundle and return the dependencies. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/install/upload/bundle", + list[PluginBundleDependency], + files={"dify_bundle": ("dify_bundle", bundle, "application/octet-stream")}, + data={"verify_signature": "true" if verify_signature else "false"}, + ) + + def install_from_identifiers( + self, + tenant_id: str, + identifiers: Sequence[str], + source: PluginInstallationSource, + metas: list[dict], + ) -> PluginInstallTaskStartResponse: + """ + Install a plugin from an identifier. + """ + # exception will be raised if the request failed + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/install/identifiers", + PluginInstallTaskStartResponse, + data={ + "plugin_unique_identifiers": identifiers, + "source": source, + "metas": metas, + }, + headers={"Content-Type": "application/json"}, + ) + + def fetch_plugin_installation_tasks(self, tenant_id: str, page: int, page_size: int) -> Sequence[PluginInstallTask]: + """ + Fetch plugin installation tasks. + """ + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/install/tasks", + list[PluginInstallTask], + params={"page": page, "page_size": page_size}, + ) + + def fetch_plugin_installation_task(self, tenant_id: str, task_id: str) -> PluginInstallTask: + """ + Fetch a plugin installation task. + """ + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/install/tasks/{task_id}", + PluginInstallTask, + ) + + def delete_plugin_installation_task(self, tenant_id: str, task_id: str) -> bool: + """ + Delete a plugin installation task. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/install/tasks/{task_id}/delete", + bool, + ) + + def delete_all_plugin_installation_task_items(self, tenant_id: str) -> bool: + """ + Delete all plugin installation task items. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/install/tasks/delete_all", + bool, + ) + + def delete_plugin_installation_task_item(self, tenant_id: str, task_id: str, identifier: str) -> bool: + """ + Delete a plugin installation task item. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/install/tasks/{task_id}/delete/{identifier}", + bool, + ) + + def fetch_plugin_manifest(self, tenant_id: str, plugin_unique_identifier: str) -> PluginDeclaration: + """ + Fetch a plugin manifest. + """ + + return self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/fetch/manifest", + PluginDeclaration, + params={"plugin_unique_identifier": plugin_unique_identifier}, + ) + + def fetch_plugin_installation_by_ids( + self, tenant_id: str, plugin_ids: Sequence[str] + ) -> Sequence[PluginInstallation]: + """ + Fetch plugin installations by ids. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/installation/fetch/batch", + list[PluginInstallation], + data={"plugin_ids": plugin_ids}, + headers={"Content-Type": "application/json"}, + ) + + def fetch_missing_dependencies( + self, tenant_id: str, plugin_unique_identifiers: list[str] + ) -> list[MissingPluginDependency]: + """ + Fetch missing dependencies + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/installation/missing", + list[MissingPluginDependency], + data={"plugin_unique_identifiers": plugin_unique_identifiers}, + headers={"Content-Type": "application/json"}, + ) + + def uninstall(self, tenant_id: str, plugin_installation_id: str) -> bool: + """ + Uninstall a plugin. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/uninstall", + bool, + data={ + "plugin_installation_id": plugin_installation_id, + }, + headers={"Content-Type": "application/json"}, + ) + + def upgrade_plugin( + self, + tenant_id: str, + original_plugin_unique_identifier: str, + new_plugin_unique_identifier: str, + source: PluginInstallationSource, + meta: dict, + ) -> PluginInstallTaskStartResponse: + """ + Upgrade a plugin. + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/install/upgrade", + PluginInstallTaskStartResponse, + data={ + "original_plugin_unique_identifier": original_plugin_unique_identifier, + "new_plugin_unique_identifier": new_plugin_unique_identifier, + "source": source, + "meta": meta, + }, + headers={"Content-Type": "application/json"}, + ) + + def check_tools_existence(self, tenant_id: str, provider_ids: Sequence[GenericProviderID]) -> Sequence[bool]: + """ + Check if the tools exist + """ + return self._request_with_plugin_daemon_response( + "POST", + f"plugin/{tenant_id}/management/tools/check_existence", + list[bool], + data={ + "provider_ids": [ + { + "plugin_id": provider_id.plugin_id, + "provider_name": provider_id.provider_name, + } + for provider_id in provider_ids + ] + }, + headers={"Content-Type": "application/json"}, + ) diff --git a/api/core/plugin/manager/tool.py b/api/core/plugin/manager/tool.py new file mode 100644 index 00000000000000..23a390f4aaf324 --- /dev/null +++ b/api/core/plugin/manager/tool.py @@ -0,0 +1,188 @@ +from collections.abc import Generator +from typing import Any, Optional + +from pydantic import BaseModel + +from core.plugin.entities.plugin import GenericProviderID +from core.plugin.entities.plugin_daemon import PluginBasicBooleanResponse, PluginToolProviderEntity +from core.plugin.manager.base import BasePluginManager +from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter + + +class PluginToolManager(BasePluginManager): + def fetch_tool_providers(self, tenant_id: str) -> list[PluginToolProviderEntity]: + """ + Fetch tool providers for the given tenant. + """ + + def transformer(json_response: dict[str, Any]) -> dict: + for provider in json_response.get("data", []): + declaration = provider.get("declaration", {}) or {} + provider_name = declaration.get("identity", {}).get("name") + for tool in declaration.get("tools", []): + tool["identity"]["provider"] = provider_name + + return json_response + + response = self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/tools", + list[PluginToolProviderEntity], + params={"page": 1, "page_size": 256}, + transformer=transformer, + ) + + for provider in response: + provider.declaration.identity.name = f"{provider.plugin_id}/{provider.declaration.identity.name}" + + # override the provider name for each tool to plugin_id/provider_name + for tool in provider.declaration.tools: + tool.identity.provider = provider.declaration.identity.name + + return response + + def fetch_tool_provider(self, tenant_id: str, provider: str) -> PluginToolProviderEntity: + """ + Fetch tool provider for the given tenant and plugin. + """ + tool_provider_id = GenericProviderID(provider) + + def transformer(json_response: dict[str, Any]) -> dict: + data = json_response.get("data") + if data: + for tool in data.get("declaration", {}).get("tools", []): + tool["identity"]["provider"] = tool_provider_id.provider_name + + return json_response + + response = self._request_with_plugin_daemon_response( + "GET", + f"plugin/{tenant_id}/management/tool", + PluginToolProviderEntity, + params={"provider": tool_provider_id.provider_name, "plugin_id": tool_provider_id.plugin_id}, + transformer=transformer, + ) + + response.declaration.identity.name = f"{response.plugin_id}/{response.declaration.identity.name}" + + # override the provider name for each tool to plugin_id/provider_name + for tool in response.declaration.tools: + tool.identity.provider = response.declaration.identity.name + + return response + + def invoke( + self, + tenant_id: str, + user_id: str, + tool_provider: str, + tool_name: str, + credentials: dict[str, Any], + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: + """ + Invoke the tool with the given tenant, user, plugin, provider, name, credentials and parameters. + """ + + tool_provider_id = GenericProviderID(tool_provider) + + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/tool/invoke", + ToolInvokeMessage, + data={ + "user_id": user_id, + "conversation_id": conversation_id, + "app_id": app_id, + "message_id": message_id, + "data": { + "provider": tool_provider_id.provider_name, + "tool": tool_name, + "credentials": credentials, + "tool_parameters": tool_parameters, + }, + }, + headers={ + "X-Plugin-ID": tool_provider_id.plugin_id, + "Content-Type": "application/json", + }, + ) + return response + + def validate_provider_credentials( + self, tenant_id: str, user_id: str, provider: str, credentials: dict[str, Any] + ) -> bool: + """ + validate the credentials of the provider + """ + tool_provider_id = GenericProviderID(provider) + + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/tool/validate_credentials", + PluginBasicBooleanResponse, + data={ + "user_id": user_id, + "data": { + "provider": tool_provider_id.provider_name, + "credentials": credentials, + }, + }, + headers={ + "X-Plugin-ID": tool_provider_id.plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp.result + + return False + + def get_runtime_parameters( + self, + tenant_id: str, + user_id: str, + provider: str, + credentials: dict[str, Any], + tool: str, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> list[ToolParameter]: + """ + get the runtime parameters of the tool + """ + tool_provider_id = GenericProviderID(provider) + + class RuntimeParametersResponse(BaseModel): + parameters: list[ToolParameter] + + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/tool/get_runtime_parameters", + RuntimeParametersResponse, + data={ + "user_id": user_id, + "conversation_id": conversation_id, + "app_id": app_id, + "message_id": message_id, + "data": { + "provider": tool_provider_id.provider_name, + "tool": tool, + "credentials": credentials, + }, + }, + headers={ + "X-Plugin-ID": tool_provider_id.plugin_id, + "Content-Type": "application/json", + }, + ) + + for resp in response: + return resp.parameters + + return [] diff --git a/api/core/plugin/utils/converter.py b/api/core/plugin/utils/converter.py new file mode 100644 index 00000000000000..6876285b31a376 --- /dev/null +++ b/api/core/plugin/utils/converter.py @@ -0,0 +1,21 @@ +from typing import Any + +from core.file.models import File +from core.tools.entities.tool_entities import ToolSelector + + +def convert_parameters_to_plugin_format(parameters: dict[str, Any]) -> dict[str, Any]: + for parameter_name, parameter in parameters.items(): + if isinstance(parameter, File): + parameters[parameter_name] = parameter.to_plugin_parameter() + elif isinstance(parameter, list) and all(isinstance(p, File) for p in parameter): + parameters[parameter_name] = [] + for p in parameter: + parameters[parameter_name].append(p.to_plugin_parameter()) + elif isinstance(parameter, ToolSelector): + parameters[parameter_name] = parameter.to_plugin_parameter() + elif isinstance(parameter, list) and all(isinstance(p, ToolSelector) for p in parameter): + parameters[parameter_name] = [] + for p in parameter: + parameters[parameter_name].append(p.to_plugin_parameter()) + return parameters diff --git a/api/core/provider_manager.py b/api/core/provider_manager.py index 479074e997442c..e3bc44cd9aadf6 100644 --- a/api/core/provider_manager.py +++ b/api/core/provider_manager.py @@ -1,7 +1,7 @@ import json from collections import defaultdict from json import JSONDecodeError -from typing import Optional, cast +from typing import Any, Optional, cast from sqlalchemy.exc import IntegrityError @@ -14,6 +14,7 @@ CustomProviderConfiguration, ModelLoadBalancingConfiguration, ModelSettings, + ProviderQuotaType, QuotaConfiguration, QuotaUnit, SystemConfiguration, @@ -28,7 +29,8 @@ FormType, ProviderEntity, ) -from core.model_runtime.model_providers import model_provider_factory +from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory +from core.plugin.entities.plugin import ModelProviderID from extensions import ext_hosting_provider from extensions.ext_database import db from extensions.ext_redis import redis_client @@ -37,7 +39,6 @@ Provider, ProviderModel, ProviderModelSetting, - ProviderQuotaType, ProviderType, TenantDefaultModel, TenantPreferredModelProvider, @@ -103,6 +104,7 @@ def get_configurations(self, tenant_id: str) -> ProviderConfigurations: provider_name_to_provider_model_records_dict = self._get_all_provider_models(tenant_id) # Get all provider entities + model_provider_factory = ModelProviderFactory(tenant_id) provider_entities = model_provider_factory.get_providers() # Get All preferred provider types of the workspace @@ -190,7 +192,7 @@ def get_configurations(self, tenant_id: str) -> ProviderConfigurations: model_settings=model_settings, ) - provider_configurations[provider_name] = provider_configuration + provider_configurations[str(ModelProviderID(provider_name))] = provider_configuration # Return the encapsulated object return provider_configurations @@ -210,12 +212,10 @@ def get_provider_model_bundle(self, tenant_id: str, provider: str, model_type: M if not provider_configuration: raise ValueError(f"Provider {provider} does not exist.") - provider_instance = provider_configuration.get_provider_instance() - model_type_instance = provider_instance.get_model_instance(model_type) + model_type_instance = provider_configuration.get_model_type_instance(model_type) return ProviderModelBundle( configuration=provider_configuration, - provider_instance=provider_instance, model_type_instance=model_type_instance, ) @@ -251,20 +251,19 @@ def get_default_model(self, tenant_id: str, model_type: ModelType) -> Optional[D (model for model in available_models if model.model == "gpt-4"), available_models[0] ) - default_model = TenantDefaultModel( - tenant_id=tenant_id, - model_type=model_type.to_origin_model_type(), - provider_name=available_model.provider.provider, - model_name=available_model.model, - ) + default_model = TenantDefaultModel() + default_model.tenant_id = tenant_id + default_model.model_type = model_type.to_origin_model_type() + default_model.provider_name = available_model.provider.provider + default_model.model_name = available_model.model db.session.add(default_model) db.session.commit() if not default_model: return None - provider_instance = model_provider_factory.get_provider_instance(default_model.provider_name) - provider_schema = provider_instance.get_provider_schema() + model_provider_factory = ModelProviderFactory(tenant_id) + provider_schema = model_provider_factory.get_provider_schema(provider=default_model.provider_name) return DefaultModelEntity( model=default_model.model_name, @@ -278,7 +277,7 @@ def get_default_model(self, tenant_id: str, model_type: ModelType) -> Optional[D ), ) - def get_first_provider_first_model(self, tenant_id: str, model_type: ModelType) -> tuple[str, str]: + def get_first_provider_first_model(self, tenant_id: str, model_type: ModelType) -> tuple[str | None, str | None]: """ Get names of first model and its provider @@ -291,6 +290,9 @@ def get_first_provider_first_model(self, tenant_id: str, model_type: ModelType) # get available models from provider_configurations all_models = provider_configurations.get_models(model_type=model_type, only_active=False) + if not all_models: + return None, None + return all_models[0].provider.provider, all_models[0].model def update_default_model_record( @@ -737,11 +739,12 @@ def _to_system_configuration( ) # Get cached provider credentials + # error occurs cached_provider_credentials = provider_credentials_cache.get() if not cached_provider_credentials: try: - provider_credentials = json.loads(provider_record.encrypted_config) + provider_credentials: dict[str, Any] = json.loads(provider_record.encrypted_config) except JSONDecodeError: provider_credentials = {} @@ -760,7 +763,9 @@ def _to_system_configuration( if variable in provider_credentials: try: provider_credentials[variable] = encrypter.decrypt_token_with_decoding( - provider_credentials.get(variable), self.decoding_rsa_key, self.decoding_cipher_rsa + provider_credentials.get(variable, ""), + self.decoding_rsa_key, + self.decoding_cipher_rsa, ) except ValueError: pass diff --git a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py index 66fba763e731c1..f4033376239cdf 100644 --- a/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py +++ b/api/core/rag/datasource/vdb/lindorm/lindorm_vector.py @@ -174,7 +174,7 @@ def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Doc if self._using_ugc: params["routing"] = self._routing response = self._client.search(index=self._collection_name, body=query, params=params) - except Exception as e: + except Exception: logger.exception(f"Error executing vector search, query: {query}") raise @@ -347,7 +347,8 @@ def default_text_mapping(dimension: int, method_name: str, **kwargs: Any) -> dic } if excludes_from_source: - mapping["mappings"]["_source"] = {"excludes": excludes_from_source} # e.g. {"excludes": ["vector_field"]} + # e.g. {"excludes": ["vector_field"]} + mapping["mappings"]["_source"] = {"excludes": excludes_from_source} if using_ugc and method_name == "ivfpq": mapping["settings"]["index"]["knn_routing"] = True diff --git a/api/core/rag/docstore/dataset_docstore.py b/api/core/rag/docstore/dataset_docstore.py index 8b95d81cc1124b..398b0daad9d565 100644 --- a/api/core/rag/docstore/dataset_docstore.py +++ b/api/core/rag/docstore/dataset_docstore.py @@ -79,7 +79,13 @@ def add_documents(self, docs: Sequence[Document], allow_update: bool = True, sav model=self._dataset.embedding_model, ) - for doc in docs: + if embedding_model: + page_content_list = [doc.page_content for doc in docs] + tokens_list = embedding_model.get_text_embedding_num_tokens(page_content_list) + else: + tokens_list = [0] * len(docs) + + for doc, tokens in zip(docs, tokens_list): if not isinstance(doc, Document): raise ValueError("doc must be a Document") @@ -94,12 +100,6 @@ def add_documents(self, docs: Sequence[Document], allow_update: bool = True, sav f"doc_id {doc.metadata['doc_id']} already exists. Set allow_update to True to overwrite." ) - # calc embedding use tokens - if embedding_model: - tokens = embedding_model.get_text_embedding_num_tokens(texts=[doc.page_content]) - else: - tokens = 0 - if not segment_document: max_position += 1 diff --git a/api/core/rag/embedding/cached_embedding.py b/api/core/rag/embedding/cached_embedding.py index a2c8737da79198..42fad111ce9f4a 100644 --- a/api/core/rag/embedding/cached_embedding.py +++ b/api/core/rag/embedding/cached_embedding.py @@ -74,7 +74,7 @@ def embed_documents(self, texts: list[str]) -> list[list[float]]: embedding_queue_embeddings.append(normalized_embedding) except IntegrityError: db.session.rollback() - except Exception as e: + except Exception: logging.exception("Failed transform embedding") cache_embeddings = [] try: diff --git a/api/core/rag/extractor/word_extractor.py b/api/core/rag/extractor/word_extractor.py index d93de5fef948d4..0a6ffaa1dd5b80 100644 --- a/api/core/rag/extractor/word_extractor.py +++ b/api/core/rag/extractor/word_extractor.py @@ -50,7 +50,7 @@ def __init__(self, file_path: str, tenant_id: str, user_id: str): self.web_path = self.file_path # TODO: use a better way to handle the file - self.temp_file = tempfile.NamedTemporaryFile() # noqa: SIM115 + self.temp_file = tempfile.NamedTemporaryFile() # noqa SIM115 self.temp_file.write(r.content) self.file_path = self.temp_file.name elif not os.path.isfile(self.file_path): @@ -234,7 +234,7 @@ def parse_docx(self, docx_path, image_folder): continue for i in url_pattern.findall(x.text): hyperlinks_url = str(i) - except Exception as e: + except Exception: logger.exception("Failed to parse HYPERLINK xml") def parse_paragraph(paragraph): diff --git a/api/core/rag/index_processor/processor/parent_child_index_processor.py b/api/core/rag/index_processor/processor/parent_child_index_processor.py index 31401220818d20..894b85339ac7cd 100644 --- a/api/core/rag/index_processor/processor/parent_child_index_processor.py +++ b/api/core/rag/index_processor/processor/parent_child_index_processor.py @@ -47,6 +47,8 @@ def transform(self, documents: list[Document], **kwargs) -> list[Document]: embedding_model_instance=kwargs.get("embedding_model_instance"), ) for document in documents: + if kwargs.get("preview") and len(all_documents) >= 10: + return all_documents # document clean document_text = CleanProcessor.clean(document.page_content, process_rule) document.page_content = document_text diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index e1d36aad1fa5d7..2193d8d3fd87df 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -26,9 +26,7 @@ from core.rag.retrieval.retrieval_methods import RetrievalMethod from core.rag.retrieval.router.multi_dataset_function_call_router import FunctionCallMultiDatasetRouter from core.rag.retrieval.router.multi_dataset_react_route import ReactMultiDatasetRouter -from core.tools.tool.dataset_retriever.dataset_multi_retriever_tool import DatasetMultiRetrieverTool -from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool -from core.tools.tool.dataset_retriever.dataset_retriever_tool import DatasetRetrieverTool +from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool from extensions.ext_database import db from models.dataset import Dataset, DatasetQuery, DocumentSegment from models.dataset import Document as DatasetDocument @@ -444,7 +442,7 @@ def _on_retrieval_end( db.session.commit() # get tracing instance - trace_manager: Optional[TraceQueueManager] = ( + trace_manager: TraceQueueManager | None = ( self.application_generate_entity.trace_manager if self.application_generate_entity else None ) if trace_manager: @@ -588,6 +586,8 @@ def to_dataset_retriever_tool( if score_threshold_enabled: score_threshold = retrieval_model_config.get("score_threshold") + from core.tools.utils.dataset_retriever.dataset_retriever_tool import DatasetRetrieverTool + tool = DatasetRetrieverTool.from_dataset( dataset=dataset, top_k=top_k, @@ -599,20 +599,24 @@ def to_dataset_retriever_tool( tools.append(tool) elif retrieve_config.retrieve_strategy == DatasetRetrieveConfigEntity.RetrieveStrategy.MULTIPLE: - if retrieve_config.reranking_model is not None: - tool = DatasetMultiRetrieverTool.from_dataset( - dataset_ids=[dataset.id for dataset in available_datasets], - tenant_id=tenant_id, - top_k=retrieve_config.top_k or 2, - score_threshold=retrieve_config.score_threshold, - hit_callbacks=[hit_callback], - return_resource=return_resource, - retriever_from=invoke_from.to_source(), - reranking_provider_name=retrieve_config.reranking_model.get("reranking_provider_name"), - reranking_model_name=retrieve_config.reranking_model.get("reranking_model_name"), - ) + from core.tools.utils.dataset_retriever.dataset_multi_retriever_tool import DatasetMultiRetrieverTool + + if retrieve_config.reranking_model is None: + raise ValueError("Reranking model is required for multiple retrieval") + + tool = DatasetMultiRetrieverTool.from_dataset( + dataset_ids=[dataset.id for dataset in available_datasets], + tenant_id=tenant_id, + top_k=retrieve_config.top_k or 2, + score_threshold=retrieve_config.score_threshold, + hit_callbacks=[hit_callback], + return_resource=return_resource, + retriever_from=invoke_from.to_source(), + reranking_provider_name=retrieve_config.reranking_model.get("reranking_provider_name"), + reranking_model_name=retrieve_config.reranking_model.get("reranking_model_name"), + ) - tools.append(tool) + tools.append(tool) return tools diff --git a/api/core/rag/splitter/fixed_text_splitter.py b/api/core/rag/splitter/fixed_text_splitter.py index 3376bd7f75dd96..2d99cce513dc55 100644 --- a/api/core/rag/splitter/fixed_text_splitter.py +++ b/api/core/rag/splitter/fixed_text_splitter.py @@ -30,14 +30,14 @@ def from_encoder( disallowed_special: Union[Literal["all"], Collection[str]] = "all", # noqa: UP037 **kwargs: Any, ): - def _token_encoder(text: str) -> int: - if not text: - return 0 + def _token_encoder(texts: list[str]) -> list[int]: + if not texts: + return [] if embedding_model_instance: - return embedding_model_instance.get_text_embedding_num_tokens(texts=[text]) + return embedding_model_instance.get_text_embedding_num_tokens(texts=texts) else: - return GPT2Tokenizer.get_num_tokens(text) + return [GPT2Tokenizer.get_num_tokens(text) for text in texts] if issubclass(cls, TokenTextSplitter): extra_kwargs = { @@ -65,8 +65,9 @@ def split_text(self, text: str) -> list[str]: chunks = [text] final_chunks = [] - for chunk in chunks: - if self._length_function(chunk) > self._chunk_size: + chunks_lengths = self._length_function(chunks) + for chunk, chunk_length in zip(chunks, chunks_lengths): + if chunk_length > self._chunk_size: final_chunks.extend(self.recursive_split_text(chunk)) else: final_chunks.append(chunk) @@ -93,8 +94,8 @@ def recursive_split_text(self, text: str) -> list[str]: # Now go merging things, recursively splitting longer texts. _good_splits = [] _good_splits_lengths = [] # cache the lengths of the splits - for s in splits: - s_len = self._length_function(s) + s_lens = self._length_function(splits) + for s, s_len in zip(splits, s_lens): if s_len < self._chunk_size: _good_splits.append(s) _good_splits_lengths.append(s_len) diff --git a/api/core/rag/splitter/text_splitter.py b/api/core/rag/splitter/text_splitter.py index 4bfa541fd454ad..34b4056cf5c367 100644 --- a/api/core/rag/splitter/text_splitter.py +++ b/api/core/rag/splitter/text_splitter.py @@ -45,7 +45,7 @@ def __init__( self, chunk_size: int = 4000, chunk_overlap: int = 200, - length_function: Callable[[str], int] = len, + length_function: Callable[[list[str]], list[int]] = lambda x: [len(x) for x in x], keep_separator: bool = False, add_start_index: bool = False, ) -> None: @@ -106,7 +106,7 @@ def _join_docs(self, docs: list[str], separator: str) -> Optional[str]: def _merge_splits(self, splits: Iterable[str], separator: str, lengths: list[int]) -> list[str]: # We now want to combine these smaller pieces into medium size # chunks to send to the LLM. - separator_len = self._length_function(separator) + separator_len = self._length_function([separator])[0] docs = [] current_doc: list[str] = [] @@ -129,7 +129,9 @@ def _merge_splits(self, splits: Iterable[str], separator: str, lengths: list[int while total > self._chunk_overlap or ( total + _len + (separator_len if len(current_doc) > 0 else 0) > self._chunk_size and total > 0 ): - total -= self._length_function(current_doc[0]) + (separator_len if len(current_doc) > 1 else 0) + total -= self._length_function([current_doc[0]])[0] + ( + separator_len if len(current_doc) > 1 else 0 + ) current_doc = current_doc[1:] current_doc.append(d) total += _len + (separator_len if len(current_doc) > 1 else 0) @@ -155,7 +157,7 @@ def _huggingface_tokenizer_length(text: str) -> int: raise ValueError( "Could not import transformers python package. Please install it with `pip install transformers`." ) - return cls(length_function=_huggingface_tokenizer_length, **kwargs) + return cls(length_function=lambda x: [_huggingface_tokenizer_length(text) for text in x], **kwargs) @classmethod def from_tiktoken_encoder( @@ -199,7 +201,7 @@ def _tiktoken_encoder(text: str) -> int: } kwargs = {**kwargs, **extra_kwargs} - return cls(length_function=_tiktoken_encoder, **kwargs) + return cls(length_function=lambda x: [_tiktoken_encoder(text) for text in x], **kwargs) def transform_documents(self, documents: Sequence[Document], **kwargs: Any) -> Sequence[Document]: """Transform sequence of documents by splitting them.""" @@ -224,8 +226,8 @@ def split_text(self, text: str) -> list[str]: splits = _split_text_with_regex(text, self._separator, self._keep_separator) _separator = "" if self._keep_separator else self._separator _good_splits_lengths = [] # cache the lengths of the splits - for split in splits: - _good_splits_lengths.append(self._length_function(split)) + if splits: + _good_splits_lengths.extend(self._length_function(splits)) return self._merge_splits(splits, _separator, _good_splits_lengths) @@ -478,9 +480,8 @@ def _split_text(self, text: str, separators: list[str]) -> list[str]: _good_splits = [] _good_splits_lengths = [] # cache the lengths of the splits _separator = "" if self._keep_separator else separator - - for s in splits: - s_len = self._length_function(s) + s_lens = self._length_function(splits) + for s, s_len in zip(splits, s_lens): if s_len < self._chunk_size: _good_splits.append(s) _good_splits_lengths.append(s_len) diff --git a/api/core/tools/__base/tool.py b/api/core/tools/__base/tool.py new file mode 100644 index 00000000000000..63937f5f76d86a --- /dev/null +++ b/api/core/tools/__base/tool.py @@ -0,0 +1,223 @@ +from abc import ABC, abstractmethod +from collections.abc import Generator +from copy import deepcopy +from typing import TYPE_CHECKING, Any, Optional + +if TYPE_CHECKING: + from models.model import File + +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.entities.tool_entities import ( + ToolEntity, + ToolInvokeMessage, + ToolParameter, + ToolProviderType, +) + + +class Tool(ABC): + """ + The base class of a tool + """ + + entity: ToolEntity + runtime: ToolRuntime + + def __init__(self, entity: ToolEntity, runtime: ToolRuntime) -> None: + self.entity = entity + self.runtime = runtime + + def fork_tool_runtime(self, runtime: ToolRuntime) -> "Tool": + """ + fork a new tool with meta data + + :param meta: the meta data of a tool call processing, tenant_id is required + :return: the new tool + """ + return self.__class__( + entity=self.entity.model_copy(), + runtime=runtime, + ) + + @abstractmethod + def tool_provider_type(self) -> ToolProviderType: + """ + get the tool provider type + + :return: the tool provider type + """ + + def invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage]: + if self.runtime and self.runtime.runtime_parameters: + tool_parameters.update(self.runtime.runtime_parameters) + + # try parse tool parameters into the correct type + tool_parameters = self._transform_tool_parameters_type(tool_parameters) + + result = self._invoke( + user_id=user_id, + tool_parameters=tool_parameters, + conversation_id=conversation_id, + app_id=app_id, + message_id=message_id, + ) + + if isinstance(result, ToolInvokeMessage): + + def single_generator() -> Generator[ToolInvokeMessage, None, None]: + yield result + + return single_generator() + elif isinstance(result, list): + + def generator() -> Generator[ToolInvokeMessage, None, None]: + yield from result + + return generator() + else: + return result + + def _transform_tool_parameters_type(self, tool_parameters: dict[str, Any]) -> dict[str, Any]: + """ + Transform tool parameters type + """ + # Temp fix for the issue that the tool parameters will be converted to empty while validating the credentials + result = deepcopy(tool_parameters) + for parameter in self.entity.parameters or []: + if parameter.name in tool_parameters: + result[parameter.name] = parameter.type.cast_value(tool_parameters[parameter.name]) + + return result + + @abstractmethod + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> ToolInvokeMessage | list[ToolInvokeMessage] | Generator[ToolInvokeMessage, None, None]: + pass + + def get_runtime_parameters( + self, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> list[ToolParameter]: + """ + get the runtime parameters + + interface for developer to dynamic change the parameters of a tool depends on the variables pool + + :return: the runtime parameters + """ + return self.entity.parameters + + def get_merged_runtime_parameters( + self, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> list[ToolParameter]: + """ + get merged runtime parameters + + :return: merged runtime parameters + """ + parameters = self.entity.parameters + parameters = parameters.copy() + user_parameters = self.get_runtime_parameters() or [] + user_parameters = user_parameters.copy() + + # override parameters + for parameter in user_parameters: + # check if parameter in tool parameters + for tool_parameter in parameters: + if tool_parameter.name == parameter.name: + # override parameter + tool_parameter.type = parameter.type + tool_parameter.form = parameter.form + tool_parameter.required = parameter.required + tool_parameter.default = parameter.default + tool_parameter.options = parameter.options + tool_parameter.llm_description = parameter.llm_description + break + else: + # add new parameter + parameters.append(parameter) + + return parameters + + def create_image_message( + self, + image: str, + ) -> ToolInvokeMessage: + """ + create an image message + + :param image: the url of the image + :return: the image message + """ + return ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.IMAGE, message=ToolInvokeMessage.TextMessage(text=image) + ) + + def create_file_message(self, file: "File") -> ToolInvokeMessage: + return ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.FILE, + message=ToolInvokeMessage.FileMessage(), + meta={"file": file}, + ) + + def create_link_message(self, link: str) -> ToolInvokeMessage: + """ + create a link message + + :param link: the url of the link + :return: the link message + """ + return ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.LINK, message=ToolInvokeMessage.TextMessage(text=link) + ) + + def create_text_message(self, text: str) -> ToolInvokeMessage: + """ + create a text message + + :param text: the text + :return: the text message + """ + return ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.TEXT, + message=ToolInvokeMessage.TextMessage(text=text), + ) + + def create_blob_message(self, blob: bytes, meta: Optional[dict] = None) -> ToolInvokeMessage: + """ + create a blob message + + :param blob: the blob + :return: the blob message + """ + return ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.BLOB, + message=ToolInvokeMessage.BlobMessage(blob=blob), + meta=meta, + ) + + def create_json_message(self, object: dict) -> ToolInvokeMessage: + """ + create a json message + """ + return ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.JSON, message=ToolInvokeMessage.JsonMessage(json_object=object) + ) diff --git a/api/core/tools/__base/tool_provider.py b/api/core/tools/__base/tool_provider.py new file mode 100644 index 00000000000000..d096fc7df7dc22 --- /dev/null +++ b/api/core/tools/__base/tool_provider.py @@ -0,0 +1,109 @@ +from abc import ABC, abstractmethod +from copy import deepcopy +from typing import Any + +from core.entities.provider_entities import ProviderConfig +from core.tools.__base.tool import Tool +from core.tools.entities.tool_entities import ( + ToolProviderEntity, + ToolProviderType, +) +from core.tools.errors import ToolProviderCredentialValidationError + + +class ToolProviderController(ABC): + entity: ToolProviderEntity + + def __init__(self, entity: ToolProviderEntity) -> None: + self.entity = entity + + def get_credentials_schema(self) -> list[ProviderConfig]: + """ + returns the credentials schema of the provider + + :return: the credentials schema + """ + return deepcopy(self.entity.credentials_schema) + + @abstractmethod + def get_tool(self, tool_name: str) -> Tool: + """ + returns a tool that the provider can provide + + :return: tool + """ + pass + + @property + def provider_type(self) -> ToolProviderType: + """ + returns the type of the provider + + :return: type of the provider + """ + return ToolProviderType.BUILT_IN + + def validate_credentials_format(self, credentials: dict[str, Any]) -> None: + """ + validate the format of the credentials of the provider and set the default value if needed + + :param credentials: the credentials of the tool + """ + credentials_schema = dict[str, ProviderConfig]() + if credentials_schema is None: + return + + for credential in self.entity.credentials_schema: + credentials_schema[credential.name] = credential + + credentials_need_to_validate: dict[str, ProviderConfig] = {} + for credential_name in credentials_schema: + credentials_need_to_validate[credential_name] = credentials_schema[credential_name] + + for credential_name in credentials: + if credential_name not in credentials_need_to_validate: + raise ToolProviderCredentialValidationError( + f"credential {credential_name} not found in provider {self.entity.identity.name}" + ) + + # check type + credential_schema = credentials_need_to_validate[credential_name] + if not credential_schema.required and credentials[credential_name] is None: + continue + + if credential_schema.type in {ProviderConfig.Type.SECRET_INPUT, ProviderConfig.Type.TEXT_INPUT}: + if not isinstance(credentials[credential_name], str): + raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string") + + elif credential_schema.type == ProviderConfig.Type.SELECT: + if not isinstance(credentials[credential_name], str): + raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string") + + options = credential_schema.options + if not isinstance(options, list): + raise ToolProviderCredentialValidationError(f"credential {credential_name} options should be list") + + if credentials[credential_name] not in [x.value for x in options]: + raise ToolProviderCredentialValidationError( + f"credential {credential_name} should be one of {options}" + ) + + credentials_need_to_validate.pop(credential_name) + + for credential_name in credentials_need_to_validate: + credential_schema = credentials_need_to_validate[credential_name] + if credential_schema.required: + raise ToolProviderCredentialValidationError(f"credential {credential_name} is required") + + # the credential is not set currently, set the default value if needed + if credential_schema.default is not None: + default_value = credential_schema.default + # parse default value into the correct type + if credential_schema.type in { + ProviderConfig.Type.SECRET_INPUT, + ProviderConfig.Type.TEXT_INPUT, + ProviderConfig.Type.SELECT, + }: + default_value = str(default_value) + + credentials[credential_name] = default_value diff --git a/api/core/tools/__base/tool_runtime.py b/api/core/tools/__base/tool_runtime.py new file mode 100644 index 00000000000000..c9e157cb77a26d --- /dev/null +++ b/api/core/tools/__base/tool_runtime.py @@ -0,0 +1,36 @@ +from typing import Any, Optional + +from openai import BaseModel +from pydantic import Field + +from core.app.entities.app_invoke_entities import InvokeFrom +from core.tools.entities.tool_entities import ToolInvokeFrom + + +class ToolRuntime(BaseModel): + """ + Meta data of a tool call processing + """ + + tenant_id: str + tool_id: Optional[str] = None + invoke_from: Optional[InvokeFrom] = None + tool_invoke_from: Optional[ToolInvokeFrom] = None + credentials: dict[str, Any] = Field(default_factory=dict) + runtime_parameters: dict[str, Any] = Field(default_factory=dict) + + +class FakeToolRuntime(ToolRuntime): + """ + Fake tool runtime for testing + """ + + def __init__(self): + super().__init__( + tenant_id="fake_tenant_id", + tool_id="fake_tool_id", + invoke_from=InvokeFrom.DEBUGGER, + tool_invoke_from=ToolInvokeFrom.AGENT, + credentials={}, + runtime_parameters={}, + ) diff --git a/api/core/tools/builtin_tool/_position.yaml b/api/core/tools/builtin_tool/_position.yaml new file mode 100644 index 00000000000000..b5875e20759163 --- /dev/null +++ b/api/core/tools/builtin_tool/_position.yaml @@ -0,0 +1,3 @@ +- code +- time +- qrcode diff --git a/api/core/tools/builtin_tool/provider.py b/api/core/tools/builtin_tool/provider.py new file mode 100644 index 00000000000000..e7762585279485 --- /dev/null +++ b/api/core/tools/builtin_tool/provider.py @@ -0,0 +1,173 @@ +from abc import abstractmethod +from os import listdir, path +from typing import Any + +from core.entities.provider_entities import ProviderConfig +from core.helper.module_import_helper import load_single_subclass_from_source +from core.tools.__base.tool_provider import ToolProviderController +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.builtin_tool.tool import BuiltinTool +from core.tools.entities.tool_entities import ToolEntity, ToolProviderEntity, ToolProviderType +from core.tools.entities.values import ToolLabelEnum, default_tool_label_dict +from core.tools.errors import ( + ToolProviderNotFoundError, +) +from core.tools.utils.yaml_utils import load_yaml_file + + +class BuiltinToolProviderController(ToolProviderController): + tools: list[BuiltinTool] + + def __init__(self, **data: Any) -> None: + self.tools = [] + + # load provider yaml + provider = self.__class__.__module__.split(".")[-1] + yaml_path = path.join(path.dirname(path.realpath(__file__)), "providers", provider, f"{provider}.yaml") + try: + provider_yaml = load_yaml_file(yaml_path, ignore_error=False) + except Exception as e: + raise ToolProviderNotFoundError(f"can not load provider yaml for {provider}: {e}") + + if "credentials_for_provider" in provider_yaml and provider_yaml["credentials_for_provider"] is not None: + # set credentials name + for credential_name in provider_yaml["credentials_for_provider"]: + provider_yaml["credentials_for_provider"][credential_name]["name"] = credential_name + + credentials_schema = [] + for credential in provider_yaml.get("credentials_for_provider", {}): + credentials_schema.append(credential) + + super().__init__( + entity=ToolProviderEntity( + identity=provider_yaml["identity"], + credentials_schema=credentials_schema, + ), + ) + + self._load_tools() + + def _load_tools(self): + provider = self.entity.identity.name + tool_path = path.join(path.dirname(path.realpath(__file__)), "providers", provider, "tools") + # get all the yaml files in the tool path + tool_files = list(filter(lambda x: x.endswith(".yaml") and not x.startswith("__"), listdir(tool_path))) + tools = [] + for tool_file in tool_files: + # get tool name + tool_name = tool_file.split(".")[0] + tool = load_yaml_file(path.join(tool_path, tool_file), ignore_error=False) + + # get tool class, import the module + assistant_tool_class: type[BuiltinTool] = load_single_subclass_from_source( + module_name=f"core.tools.builtin_tool.providers.{provider}.tools.{tool_name}", + script_path=path.join( + path.dirname(path.realpath(__file__)), + "builtin_tool", + "providers", + provider, + "tools", + f"{tool_name}.py", + ), + parent_type=BuiltinTool, + ) + tool["identity"]["provider"] = provider + tools.append( + assistant_tool_class( + provider=provider, + entity=ToolEntity(**tool), + runtime=ToolRuntime(tenant_id=""), + ) + ) + + self.tools = tools + + def _get_builtin_tools(self) -> list[BuiltinTool]: + """ + returns a list of tools that the provider can provide + + :return: list of tools + """ + return self.tools + + def get_credentials_schema(self) -> list[ProviderConfig]: + """ + returns the credentials schema of the provider + + :return: the credentials schema + """ + if not self.entity.credentials_schema: + return [] + + return self.entity.credentials_schema.copy() + + def get_tools(self) -> list[BuiltinTool]: + """ + returns a list of tools that the provider can provide + + :return: list of tools + """ + return self._get_builtin_tools() + + def get_tool(self, tool_name: str) -> BuiltinTool | None: # type: ignore + """ + returns the tool that the provider can provide + """ + return next(filter(lambda x: x.entity.identity.name == tool_name, self.get_tools()), None) # type: ignore + + @property + def need_credentials(self) -> bool: + """ + returns whether the provider needs credentials + + :return: whether the provider needs credentials + """ + return self.entity.credentials_schema is not None and len(self.entity.credentials_schema) != 0 + + @property + def provider_type(self) -> ToolProviderType: + """ + returns the type of the provider + + :return: type of the provider + """ + return ToolProviderType.BUILT_IN + + @property + def tool_labels(self) -> list[str]: + """ + returns the labels of the provider + + :return: labels of the provider + """ + label_enums = self._get_tool_labels() + return [default_tool_label_dict[label].name for label in label_enums] + + def _get_tool_labels(self) -> list[ToolLabelEnum]: + """ + returns the labels of the provider + """ + return self.entity.identity.tags or [] + + def validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None: + """ + validate the credentials of the provider + + :param tool_name: the name of the tool, defined in `get_tools` + :param credentials: the credentials of the tool + """ + # validate credentials format + self.validate_credentials_format(credentials) + + # validate credentials + self._validate_credentials(user_id, credentials) + + @abstractmethod + def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None: + """ + validate the credentials of the provider + + :param tool_name: the name of the tool, defined in `get_tools` + :param credentials: the credentials of the tool + """ + pass diff --git a/api/core/model_runtime/model_providers/anthropic/llm/__init__.py b/api/core/tools/builtin_tool/providers/__init__.py similarity index 100% rename from api/core/model_runtime/model_providers/anthropic/llm/__init__.py rename to api/core/tools/builtin_tool/providers/__init__.py diff --git a/api/core/tools/provider/builtin/_positions.py b/api/core/tools/builtin_tool/providers/_positions.py similarity index 67% rename from api/core/tools/provider/builtin/_positions.py rename to api/core/tools/builtin_tool/providers/_positions.py index 99a062f8c366aa..44a90db038b191 100644 --- a/api/core/tools/provider/builtin/_positions.py +++ b/api/core/tools/builtin_tool/providers/_positions.py @@ -1,18 +1,18 @@ import os.path from core.helper.position_helper import get_tool_position_map, sort_by_position_map -from core.tools.entities.api_entities import UserToolProvider +from core.tools.entities.api_entities import ToolProviderApiEntity class BuiltinToolProviderSort: _position: dict[str, int] = {} @classmethod - def sort(cls, providers: list[UserToolProvider]) -> list[UserToolProvider]: + def sort(cls, providers: list[ToolProviderApiEntity]) -> list[ToolProviderApiEntity]: if not cls._position: cls._position = get_tool_position_map(os.path.join(os.path.dirname(__file__), "..")) - def name_func(provider: UserToolProvider) -> str: + def name_func(provider: ToolProviderApiEntity) -> str: return provider.name sorted_providers = sort_by_position_map(cls._position, providers, name_func) diff --git a/api/core/tools/provider/builtin/audio/_assets/icon.svg b/api/core/tools/builtin_tool/providers/audio/_assets/icon.svg similarity index 100% rename from api/core/tools/provider/builtin/audio/_assets/icon.svg rename to api/core/tools/builtin_tool/providers/audio/_assets/icon.svg diff --git a/api/core/tools/builtin_tool/providers/audio/audio.py b/api/core/tools/builtin_tool/providers/audio/audio.py new file mode 100644 index 00000000000000..d7d71161f13ec7 --- /dev/null +++ b/api/core/tools/builtin_tool/providers/audio/audio.py @@ -0,0 +1,8 @@ +from typing import Any + +from core.tools.builtin_tool.provider import BuiltinToolProviderController + + +class AudioToolProvider(BuiltinToolProviderController): + def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None: + pass diff --git a/api/core/tools/provider/builtin/audio/audio.yaml b/api/core/tools/builtin_tool/providers/audio/audio.yaml similarity index 100% rename from api/core/tools/provider/builtin/audio/audio.yaml rename to api/core/tools/builtin_tool/providers/audio/audio.yaml diff --git a/api/core/tools/provider/builtin/audio/tools/asr.py b/api/core/tools/builtin_tool/providers/audio/tools/asr.py similarity index 67% rename from api/core/tools/provider/builtin/audio/tools/asr.py rename to api/core/tools/builtin_tool/providers/audio/tools/asr.py index 2aa409cd1ac082..5c2492087156ff 100644 --- a/api/core/tools/provider/builtin/audio/tools/asr.py +++ b/api/core/tools/builtin_tool/providers/audio/tools/asr.py @@ -1,24 +1,34 @@ import io -from typing import Any +from collections.abc import Generator +from typing import Any, Optional from core.file.enums import FileType from core.file.file_manager import download from core.model_manager import ModelManager from core.model_runtime.entities.model_entities import ModelType +from core.plugin.entities.parameters import PluginParameterOption +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption -from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter from services.model_provider_service import ModelProviderService class ASRTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]: + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: file = tool_parameters.get("audio_file") - if file.type != FileType.AUDIO: - return [self.create_text_message("not a valid audio file")] - audio_binary = io.BytesIO(download(file)) + if file.type != FileType.AUDIO: # type: ignore + yield self.create_text_message("not a valid audio file") + return + audio_binary = io.BytesIO(download(file)) # type: ignore audio_binary.name = "temp.mp3" - provider, model = tool_parameters.get("model").split("#") + provider, model = tool_parameters.get("model").split("#") # type: ignore model_manager = ModelManager() model_instance = model_manager.get_model_instance( tenant_id=self.runtime.tenant_id, @@ -30,7 +40,7 @@ def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInv file=audio_binary, user=user_id, ) - return [self.create_text_message(text)] + yield self.create_text_message(text) def get_available_models(self) -> list[tuple[str, str]]: model_provider_service = ModelProviderService() @@ -44,12 +54,17 @@ def get_available_models(self) -> list[tuple[str, str]]: items.append((provider, model.model)) return items - def get_runtime_parameters(self) -> list[ToolParameter]: + def get_runtime_parameters( + self, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> list[ToolParameter]: parameters = [] options = [] for provider, model in self.get_available_models(): - option = ToolParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})")) + option = PluginParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})")) options.append(option) parameters.append( diff --git a/api/core/tools/provider/builtin/audio/tools/asr.yaml b/api/core/tools/builtin_tool/providers/audio/tools/asr.yaml similarity index 100% rename from api/core/tools/provider/builtin/audio/tools/asr.yaml rename to api/core/tools/builtin_tool/providers/audio/tools/asr.yaml diff --git a/api/core/tools/provider/builtin/audio/tools/tts.py b/api/core/tools/builtin_tool/providers/audio/tools/tts.py similarity index 68% rename from api/core/tools/provider/builtin/audio/tools/tts.py rename to api/core/tools/builtin_tool/providers/audio/tools/tts.py index 8a33ac405bd4c3..9b104b00f521c7 100644 --- a/api/core/tools/provider/builtin/audio/tools/tts.py +++ b/api/core/tools/builtin_tool/providers/audio/tools/tts.py @@ -1,18 +1,27 @@ import io -from typing import Any +from collections.abc import Generator +from typing import Any, Optional from core.model_manager import ModelManager from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType +from core.plugin.entities.parameters import PluginParameterOption +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption -from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter from services.model_provider_service import ModelProviderService class TTSTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]: - provider, model = tool_parameters.get("model", "").split("#") - voice = tool_parameters.get(f"voice#{provider}#{model}", "") + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: + provider, model = tool_parameters.get("model").split("#") # type: ignore + voice = tool_parameters.get(f"voice#{provider}#{model}") model_manager = ModelManager() if not self.runtime: raise ValueError("Runtime is required") @@ -23,24 +32,21 @@ def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInv model=model, ) tts = model_instance.invoke_tts( - content_text=tool_parameters.get("text", ""), + content_text=tool_parameters.get("text"), # type: ignore user=user_id, - tenant_id=self.runtime.tenant_id or "", - voice=voice, + tenant_id=self.runtime.tenant_id, + voice=voice, # type: ignore ) buffer = io.BytesIO() for chunk in tts: buffer.write(chunk) wav_bytes = buffer.getvalue() - return [ - self.create_text_message("Audio generated successfully"), - self.create_blob_message( - blob=wav_bytes, - meta={"mime_type": "audio/x-wav"}, - save_as=self.VariableKey.AUDIO, - ), - ] + yield self.create_text_message("Audio generated successfully") + yield self.create_blob_message( + blob=wav_bytes, + meta={"mime_type": "audio/x-wav"}, + ) def get_available_models(self) -> list[tuple[str, str, list[Any]]]: if not self.runtime: @@ -56,12 +62,17 @@ def get_available_models(self) -> list[tuple[str, str, list[Any]]]: items.append((provider, model.model, voices)) return items - def get_runtime_parameters(self) -> list[ToolParameter]: + def get_runtime_parameters( + self, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> list[ToolParameter]: parameters = [] options = [] for provider, model, voices in self.get_available_models(): - option = ToolParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})")) + option = PluginParameterOption(value=f"{provider}#{model}", label=I18nObject(en_US=f"{model}({provider})")) options.append(option) parameters.append( ToolParameter( @@ -72,7 +83,7 @@ def get_runtime_parameters(self) -> list[ToolParameter]: type=ToolParameter.ToolParameterType.SELECT, form=ToolParameter.ToolParameterForm.FORM, options=[ - ToolParameterOption(value=voice.get("mode"), label=I18nObject(en_US=voice.get("name"))) + PluginParameterOption(value=voice.get("mode"), label=I18nObject(en_US=voice.get("name"))) for voice in voices ], ) diff --git a/api/core/tools/provider/builtin/audio/tools/tts.yaml b/api/core/tools/builtin_tool/providers/audio/tools/tts.yaml similarity index 100% rename from api/core/tools/provider/builtin/audio/tools/tts.yaml rename to api/core/tools/builtin_tool/providers/audio/tools/tts.yaml diff --git a/api/core/tools/provider/builtin/code/_assets/icon.svg b/api/core/tools/builtin_tool/providers/code/_assets/icon.svg similarity index 100% rename from api/core/tools/provider/builtin/code/_assets/icon.svg rename to api/core/tools/builtin_tool/providers/code/_assets/icon.svg diff --git a/api/core/tools/builtin_tool/providers/code/code.py b/api/core/tools/builtin_tool/providers/code/code.py new file mode 100644 index 00000000000000..18b7cd4c9010e8 --- /dev/null +++ b/api/core/tools/builtin_tool/providers/code/code.py @@ -0,0 +1,8 @@ +from typing import Any + +from core.tools.builtin_tool.provider import BuiltinToolProviderController + + +class CodeToolProvider(BuiltinToolProviderController): + def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None: + pass diff --git a/api/core/tools/provider/builtin/code/code.yaml b/api/core/tools/builtin_tool/providers/code/code.yaml similarity index 93% rename from api/core/tools/provider/builtin/code/code.yaml rename to api/core/tools/builtin_tool/providers/code/code.yaml index 2640a7087ef28b..81ab6d4b45de5c 100644 --- a/api/core/tools/provider/builtin/code/code.yaml +++ b/api/core/tools/builtin_tool/providers/code/code.yaml @@ -12,4 +12,3 @@ identity: icon: icon.svg tags: - productivity -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/code/tools/simple_code.py b/api/core/tools/builtin_tool/providers/code/tools/simple_code.py similarity index 56% rename from api/core/tools/provider/builtin/code/tools/simple_code.py rename to api/core/tools/builtin_tool/providers/code/tools/simple_code.py index 632c9fc7f1451b..ab0e155b981c11 100644 --- a/api/core/tools/provider/builtin/code/tools/simple_code.py +++ b/api/core/tools/builtin_tool/providers/code/tools/simple_code.py @@ -1,12 +1,20 @@ -from typing import Any +from collections.abc import Generator +from typing import Any, Optional from core.helper.code_executor.code_executor import CodeExecutor, CodeLanguage +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool class SimpleCode(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ invoke simple code """ @@ -19,4 +27,4 @@ def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMe result = CodeExecutor.execute_code(language, "", code) - return self.create_text_message(result) + yield self.create_text_message(result) diff --git a/api/core/tools/provider/builtin/code/tools/simple_code.yaml b/api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml similarity index 100% rename from api/core/tools/provider/builtin/code/tools/simple_code.yaml rename to api/core/tools/builtin_tool/providers/code/tools/simple_code.yaml diff --git a/api/core/tools/provider/builtin/time/_assets/icon.svg b/api/core/tools/builtin_tool/providers/time/_assets/icon.svg similarity index 100% rename from api/core/tools/provider/builtin/time/_assets/icon.svg rename to api/core/tools/builtin_tool/providers/time/_assets/icon.svg diff --git a/api/core/tools/builtin_tool/providers/time/time.py b/api/core/tools/builtin_tool/providers/time/time.py new file mode 100644 index 00000000000000..323a7c41b8f7a1 --- /dev/null +++ b/api/core/tools/builtin_tool/providers/time/time.py @@ -0,0 +1,8 @@ +from typing import Any + +from core.tools.builtin_tool.provider import BuiltinToolProviderController + + +class WikiPediaProvider(BuiltinToolProviderController): + def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None: + pass diff --git a/api/core/tools/provider/builtin/time/time.yaml b/api/core/tools/builtin_tool/providers/time/time.yaml similarity index 92% rename from api/core/tools/provider/builtin/time/time.yaml rename to api/core/tools/builtin_tool/providers/time/time.yaml index 1278939df58931..77bdc0f87a98ad 100644 --- a/api/core/tools/provider/builtin/time/time.yaml +++ b/api/core/tools/builtin_tool/providers/time/time.yaml @@ -12,4 +12,3 @@ identity: icon: icon.svg tags: - utilities -credentials_for_provider: diff --git a/api/core/tools/builtin_tool/providers/time/tools/current_time.py b/api/core/tools/builtin_tool/providers/time/tools/current_time.py new file mode 100644 index 00000000000000..d054afac961929 --- /dev/null +++ b/api/core/tools/builtin_tool/providers/time/tools/current_time.py @@ -0,0 +1,35 @@ +from collections.abc import Generator +from datetime import UTC, datetime +from typing import Any, Optional + +from pytz import timezone as pytz_timezone + +from core.tools.builtin_tool.tool import BuiltinTool +from core.tools.entities.tool_entities import ToolInvokeMessage + + +class CurrentTimeTool(BuiltinTool): + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: + """ + invoke tools + """ + # get timezone + tz = tool_parameters.get("timezone", "UTC") + fm = tool_parameters.get("format") or "%Y-%m-%d %H:%M:%S %Z" + if tz == "UTC": + yield self.create_text_message(f"{datetime.now(UTC).strftime(fm)}") + return + + try: + tz = pytz_timezone(tz) + except Exception: + yield self.create_text_message(f"Invalid timezone: {tz}") + return + yield self.create_text_message(f"{datetime.now(tz).strftime(fm)}") diff --git a/api/core/tools/provider/builtin/time/tools/current_time.yaml b/api/core/tools/builtin_tool/providers/time/tools/current_time.yaml similarity index 100% rename from api/core/tools/provider/builtin/time/tools/current_time.yaml rename to api/core/tools/builtin_tool/providers/time/tools/current_time.yaml diff --git a/api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.py b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py similarity index 64% rename from api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.py rename to api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py index e16b732d0242db..1639dd687f56a7 100644 --- a/api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.py +++ b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.py @@ -1,11 +1,12 @@ +from collections.abc import Generator from datetime import datetime -from typing import Any, Union +from typing import Any, Optional import pytz +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.errors import ToolInvokeError -from core.tools.tool.builtin_tool import BuiltinTool class LocaltimeToTimestampTool(BuiltinTool): @@ -13,7 +14,10 @@ def _invoke( self, user_id: str, tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ Convert localtime to timestamp """ @@ -23,11 +27,12 @@ def _invoke( timezone = None time_format = "%Y-%m-%d %H:%M:%S" - timestamp = self.localtime_to_timestamp(localtime, time_format, timezone) + timestamp = self.localtime_to_timestamp(localtime, time_format, timezone) # type: ignore if not timestamp: - return self.create_text_message(f"Invalid localtime: {localtime}") + yield self.create_text_message(f"Invalid localtime: {localtime}") + return - return self.create_text_message(f"{timestamp}") + yield self.create_text_message(f"{timestamp}") @staticmethod def localtime_to_timestamp(localtime: str, time_format: str, local_tz=None) -> int | None: @@ -37,8 +42,8 @@ def localtime_to_timestamp(localtime: str, time_format: str, local_tz=None) -> i if isinstance(local_tz, str): local_tz = pytz.timezone(local_tz) local_time = datetime.strptime(localtime, time_format) - localtime = local_tz.localize(local_time) - timestamp = int(localtime.timestamp()) + localtime = local_tz.localize(local_time) # type: ignore + timestamp = int(localtime.timestamp()) # type: ignore return timestamp except Exception as e: raise ToolInvokeError(str(e)) diff --git a/api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.yaml b/api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml similarity index 100% rename from api/core/tools/provider/builtin/time/tools/localtime_to_timestamp.yaml rename to api/core/tools/builtin_tool/providers/time/tools/localtime_to_timestamp.yaml diff --git a/api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.py b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.py similarity index 68% rename from api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.py rename to api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.py index bcdd34fd4ec54d..0ef63315307eff 100644 --- a/api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.py +++ b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.py @@ -1,11 +1,12 @@ +from collections.abc import Generator from datetime import datetime -from typing import Any, Union +from typing import Any, Optional import pytz +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.errors import ToolInvokeError -from core.tools.tool.builtin_tool import BuiltinTool class TimestampToLocaltimeTool(BuiltinTool): @@ -13,11 +14,14 @@ def _invoke( self, user_id: str, tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ Convert timestamp to localtime """ - timestamp = tool_parameters.get("timestamp") + timestamp: int = tool_parameters.get("timestamp", 0) timezone = tool_parameters.get("timezone", "Asia/Shanghai") if not timezone: timezone = None @@ -25,11 +29,12 @@ def _invoke( locatime = self.timestamp_to_localtime(timestamp, timezone) if not locatime: - return self.create_text_message(f"Invalid timestamp: {timestamp}") + yield self.create_text_message(f"Invalid timestamp: {timestamp}") + return localtime_format = locatime.strftime(time_format) - return self.create_text_message(f"{localtime_format}") + yield self.create_text_message(f"{localtime_format}") @staticmethod def timestamp_to_localtime(timestamp: int, local_tz=None) -> datetime | None: diff --git a/api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.yaml b/api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml similarity index 100% rename from api/core/tools/provider/builtin/time/tools/timestamp_to_localtime.yaml rename to api/core/tools/builtin_tool/providers/time/tools/timestamp_to_localtime.yaml diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.py b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.py similarity index 77% rename from api/core/tools/provider/builtin/time/tools/timezone_conversion.py rename to api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.py index 28e70db5328527..f9b776b3b99adb 100644 --- a/api/core/tools/provider/builtin/time/tools/timezone_conversion.py +++ b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.py @@ -1,11 +1,12 @@ +from collections.abc import Generator from datetime import datetime -from typing import Any, Union +from typing import Any, Optional import pytz +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.errors import ToolInvokeError -from core.tools.tool.builtin_tool import BuiltinTool class TimezoneConversionTool(BuiltinTool): @@ -13,20 +14,24 @@ def _invoke( self, user_id: str, tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ Convert time to equivalent time zone """ current_time = tool_parameters.get("current_time") current_timezone = tool_parameters.get("current_timezone", "Asia/Shanghai") target_timezone = tool_parameters.get("target_timezone", "Asia/Tokyo") - target_time = self.timezone_convert(current_time, current_timezone, target_timezone) + target_time = self.timezone_convert(current_time, current_timezone, target_timezone) # type: ignore if not target_time: - return self.create_text_message( + yield self.create_text_message( f"Invalid datatime and timezone: {current_time},{current_timezone},{target_timezone}" ) + return - return self.create_text_message(f"{target_time}") + yield self.create_text_message(f"{target_time}") @staticmethod def timezone_convert(current_time: str, source_timezone: str, target_timezone: str) -> str: @@ -43,6 +48,6 @@ def timezone_convert(current_time: str, source_timezone: str, target_timezone: s datetime_with_tz = input_timezone.localize(local_time) # timezone convert converted_datetime = datetime_with_tz.astimezone(output_timezone) - return converted_datetime.strftime(format=time_format) + return converted_datetime.strftime(format=time_format) # type: ignore except Exception as e: raise ToolInvokeError(str(e)) diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml b/api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml similarity index 100% rename from api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml rename to api/core/tools/builtin_tool/providers/time/tools/timezone_conversion.yaml diff --git a/api/core/tools/provider/builtin/time/tools/weekday.py b/api/core/tools/builtin_tool/providers/time/tools/weekday.py similarity index 66% rename from api/core/tools/provider/builtin/time/tools/weekday.py rename to api/core/tools/builtin_tool/providers/time/tools/weekday.py index b327e54e171048..158ce701c0fb28 100644 --- a/api/core/tools/provider/builtin/time/tools/weekday.py +++ b/api/core/tools/builtin_tool/providers/time/tools/weekday.py @@ -1,9 +1,10 @@ import calendar +from collections.abc import Generator from datetime import datetime -from typing import Any, Union +from typing import Any, Optional +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool class WeekdayTool(BuiltinTool): @@ -11,22 +12,28 @@ def _invoke( self, user_id: str, tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ Calculate the day of the week for a given date """ year = tool_parameters.get("year") month = tool_parameters.get("month") + if month is None: + raise ValueError("Month is required") day = tool_parameters.get("day") date_obj = self.convert_datetime(year, month, day) if not date_obj: - return self.create_text_message(f"Invalid date: Year {year}, Month {month}, Day {day}.") + yield self.create_text_message(f"Invalid date: Year {year}, Month {month}, Day {day}.") + return weekday_name = calendar.day_name[date_obj.weekday()] month_name = calendar.month_name[month] readable_date = f"{month_name} {date_obj.day}, {date_obj.year}" - return self.create_text_message(f"{readable_date} is {weekday_name}.") + yield self.create_text_message(f"{readable_date} is {weekday_name}.") @staticmethod def convert_datetime(year, month, day) -> datetime | None: diff --git a/api/core/tools/provider/builtin/time/tools/weekday.yaml b/api/core/tools/builtin_tool/providers/time/tools/weekday.yaml similarity index 100% rename from api/core/tools/provider/builtin/time/tools/weekday.yaml rename to api/core/tools/builtin_tool/providers/time/tools/weekday.yaml diff --git a/api/core/tools/provider/builtin/webscraper/_assets/icon.svg b/api/core/tools/builtin_tool/providers/webscraper/_assets/icon.svg similarity index 100% rename from api/core/tools/provider/builtin/webscraper/_assets/icon.svg rename to api/core/tools/builtin_tool/providers/webscraper/_assets/icon.svg diff --git a/api/core/tools/provider/builtin/webscraper/tools/webscraper.py b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.py similarity index 51% rename from api/core/tools/provider/builtin/webscraper/tools/webscraper.py rename to api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.py index 12670b4b8b9289..3bee7108799b5d 100644 --- a/api/core/tools/provider/builtin/webscraper/tools/webscraper.py +++ b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.py @@ -1,8 +1,10 @@ -from typing import Any, Union +from collections.abc import Generator +from typing import Any, Optional +from core.tools.builtin_tool.tool import BuiltinTool from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.errors import ToolInvokeError -from core.tools.tool.builtin_tool import BuiltinTool +from core.tools.utils.web_reader_tool import get_url class WebscraperTool(BuiltinTool): @@ -10,7 +12,10 @@ def _invoke( self, user_id: str, tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ invoke tools """ @@ -18,16 +23,17 @@ def _invoke( url = tool_parameters.get("url", "") user_agent = tool_parameters.get("user_agent", "") if not url: - return self.create_text_message("Please input url") + yield self.create_text_message("Please input url") + return # get webpage - result = self.get_url(url, user_agent=user_agent) + result = get_url(url, user_agent=user_agent) if tool_parameters.get("generate_summary"): # summarize and return - return self.create_text_message(self.summary(user_id=user_id, content=result)) + yield self.create_text_message(self.summary(user_id=user_id, content=result)) else: # return full webpage - return self.create_text_message(result) + yield self.create_text_message(result) except Exception as e: raise ToolInvokeError(str(e)) diff --git a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.yaml similarity index 93% rename from api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml rename to api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.yaml index 0bb48a941dcffe..291798c1f2c37b 100644 --- a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml +++ b/api/core/tools/builtin_tool/providers/webscraper/tools/webscraper.yaml @@ -49,12 +49,12 @@ parameters: zh_Hans: 如果启用，爬虫将仅返回页面摘要内容。 form: form options: - - value: 'true' + - value: "true" label: - en_US: 'Yes' + en_US: "Yes" zh_Hans: 是 - - value: 'false' + - value: "false" label: - en_US: 'No' + en_US: "No" zh_Hans: 否 - default: 'false' + default: "false" diff --git a/api/core/tools/builtin_tool/providers/webscraper/webscraper.py b/api/core/tools/builtin_tool/providers/webscraper/webscraper.py new file mode 100644 index 00000000000000..52c8370e0d92e7 --- /dev/null +++ b/api/core/tools/builtin_tool/providers/webscraper/webscraper.py @@ -0,0 +1,11 @@ +from typing import Any + +from core.tools.builtin_tool.provider import BuiltinToolProviderController + + +class WebscraperProvider(BuiltinToolProviderController): + def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None: + """ + Validate credentials + """ + pass diff --git a/api/core/tools/provider/builtin/webscraper/webscraper.yaml b/api/core/tools/builtin_tool/providers/webscraper/webscraper.yaml similarity index 92% rename from api/core/tools/provider/builtin/webscraper/webscraper.yaml rename to api/core/tools/builtin_tool/providers/webscraper/webscraper.yaml index 6c2eb97784e298..d6d0a0d610f3f6 100644 --- a/api/core/tools/provider/builtin/webscraper/webscraper.yaml +++ b/api/core/tools/builtin_tool/providers/webscraper/webscraper.yaml @@ -12,4 +12,4 @@ identity: icon: icon.svg tags: - productivity -credentials_for_provider: +credentials_for_provider: [] diff --git a/api/core/tools/tool/builtin_tool.py b/api/core/tools/builtin_tool/tool.py similarity index 85% rename from api/core/tools/tool/builtin_tool.py rename to api/core/tools/builtin_tool/tool.py index adda4297f38e8a..e61cda5de595ca 100644 --- a/api/core/tools/tool/builtin_tool.py +++ b/api/core/tools/builtin_tool/tool.py @@ -1,11 +1,9 @@ -from typing import Optional, cast - from core.model_runtime.entities.llm_entities import LLMResult from core.model_runtime.entities.message_entities import PromptMessage, SystemPromptMessage, UserPromptMessage +from core.tools.__base.tool import Tool +from core.tools.__base.tool_runtime import ToolRuntime from core.tools.entities.tool_entities import ToolProviderType -from core.tools.tool.tool import Tool from core.tools.utils.model_invocation_utils import ModelInvocationUtils -from core.tools.utils.web_reader_tool import get_url _SUMMARY_PROMPT = """You are a professional language researcher, you are interested in the language and you can quickly aimed at the main point of an webpage and reproduce it in your own words but @@ -22,6 +20,25 @@ class BuiltinTool(Tool): :param meta: the meta data of a tool call processing """ + provider: str + + def __init__(self, provider: str, **kwargs): + super().__init__(**kwargs) + self.provider = provider + + def fork_tool_runtime(self, runtime: ToolRuntime) -> "BuiltinTool": + """ + fork a new tool with meta data + + :param meta: the meta data of a tool call processing, tenant_id is required + :return: the new tool + """ + return self.__class__( + entity=self.entity.model_copy(), + runtime=runtime, + provider=self.provider, + ) + def invoke_model(self, user_id: str, prompt_messages: list[PromptMessage], stop: list[str]) -> LLMResult: """ invoke model @@ -32,14 +49,11 @@ def invoke_model(self, user_id: str, prompt_messages: list[PromptMessage], stop: :return: the model result """ # invoke model - if self.runtime is None or self.identity is None: - raise ValueError("runtime and identity are required") - return ModelInvocationUtils.invoke( user_id=user_id, tenant_id=self.runtime.tenant_id or "", tool_type="builtin", - tool_name=self.identity.name, + tool_name=self.entity.identity.name, prompt_messages=prompt_messages, ) @@ -92,7 +106,8 @@ def summarize(content: str) -> str: stop=[], ) - return cast(str, summary.message.content) + assert isinstance(summary.message.content, str) + return summary.message.content lines = content.split("\n") new_lines = [] @@ -136,9 +151,3 @@ def summarize(content: str) -> str: return self.summary(user_id=user_id, content=result) return result - - def get_url(self, url: str, user_agent: Optional[str] = None) -> str: - """ - get url - """ - return get_url(url, user_agent=user_agent) diff --git a/api/core/tools/provider/api_tool_provider.py b/api/core/tools/custom_tool/provider.py similarity index 50% rename from api/core/tools/provider/api_tool_provider.py rename to api/core/tools/custom_tool/provider.py index f451edbf2ee969..71335353137a61 100644 --- a/api/core/tools/provider/api_tool_provider.py +++ b/api/core/tools/custom_tool/provider.py @@ -1,86 +1,99 @@ -from typing import Optional +from pydantic import Field +from core.entities.provider_entities import ProviderConfig +from core.tools.__base.tool_provider import ToolProviderController +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.custom_tool.tool import ApiTool from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_bundle import ApiToolBundle from core.tools.entities.tool_entities import ( ApiProviderAuthType, - ToolCredentialsOption, ToolDescription, + ToolEntity, ToolIdentity, - ToolProviderCredentials, + ToolProviderEntity, ToolProviderIdentity, ToolProviderType, ) -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.tool.api_tool import ApiTool -from core.tools.tool.tool import Tool from extensions.ext_database import db from models.tools import ApiToolProvider class ApiToolProviderController(ToolProviderController): provider_id: str - - @staticmethod - def from_db(db_provider: ApiToolProvider, auth_type: ApiProviderAuthType) -> "ApiToolProviderController": - credentials_schema = { - "auth_type": ToolProviderCredentials( + tenant_id: str + tools: list[ApiTool] = Field(default_factory=list) + + def __init__(self, entity: ToolProviderEntity, provider_id: str, tenant_id: str) -> None: + super().__init__(entity) + self.provider_id = provider_id + self.tenant_id = tenant_id + self.tools = [] + + @classmethod + def from_db(cls, db_provider: ApiToolProvider, auth_type: ApiProviderAuthType) -> "ApiToolProviderController": + credentials_schema = [ + ProviderConfig( name="auth_type", required=True, - type=ToolProviderCredentials.CredentialsType.SELECT, + type=ProviderConfig.Type.SELECT, options=[ - ToolCredentialsOption(value="none", label=I18nObject(en_US="None", zh_Hans="无")), - ToolCredentialsOption(value="api_key", label=I18nObject(en_US="api_key", zh_Hans="api_key")), + ProviderConfig.Option(value="none", label=I18nObject(en_US="None", zh_Hans="无")), + ProviderConfig.Option(value="api_key", label=I18nObject(en_US="api_key", zh_Hans="api_key")), ], default="none", help=I18nObject(en_US="The auth type of the api provider", zh_Hans="api provider 的认证类型"), ) - } + ] if auth_type == ApiProviderAuthType.API_KEY: - credentials_schema = { - **credentials_schema, - "api_key_header": ToolProviderCredentials( + credentials_schema = [ + *credentials_schema, + ProviderConfig( name="api_key_header", required=False, default="api_key", - type=ToolProviderCredentials.CredentialsType.TEXT_INPUT, + type=ProviderConfig.Type.TEXT_INPUT, help=I18nObject(en_US="The header name of the api key", zh_Hans="携带 api key 的 header 名称"), ), - "api_key_value": ToolProviderCredentials( + ProviderConfig( name="api_key_value", required=True, - type=ToolProviderCredentials.CredentialsType.SECRET_INPUT, + type=ProviderConfig.Type.SECRET_INPUT, help=I18nObject(en_US="The api key", zh_Hans="api key的值"), ), - "api_key_header_prefix": ToolProviderCredentials( + ProviderConfig( name="api_key_header_prefix", required=False, default="basic", - type=ToolProviderCredentials.CredentialsType.SELECT, + type=ProviderConfig.Type.SELECT, help=I18nObject(en_US="The prefix of the api key header", zh_Hans="api key header 的前缀"), options=[ - ToolCredentialsOption(value="basic", label=I18nObject(en_US="Basic", zh_Hans="Basic")), - ToolCredentialsOption(value="bearer", label=I18nObject(en_US="Bearer", zh_Hans="Bearer")), - ToolCredentialsOption(value="custom", label=I18nObject(en_US="Custom", zh_Hans="Custom")), + ProviderConfig.Option(value="basic", label=I18nObject(en_US="Basic", zh_Hans="Basic")), + ProviderConfig.Option(value="bearer", label=I18nObject(en_US="Bearer", zh_Hans="Bearer")), + ProviderConfig.Option(value="custom", label=I18nObject(en_US="Custom", zh_Hans="Custom")), ], ), - } + ] elif auth_type == ApiProviderAuthType.NONE: pass - else: - raise ValueError(f"invalid auth type {auth_type}") - user_name = db_provider.user.name if db_provider.user_id and db_provider.user is not None else "" + + user = db_provider.user + user_name = user.name if user else "" + return ApiToolProviderController( - identity=ToolProviderIdentity( - author=user_name, - name=db_provider.name, - label=I18nObject(en_US=db_provider.name, zh_Hans=db_provider.name), - description=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description), - icon=db_provider.icon, + entity=ToolProviderEntity( + identity=ToolProviderIdentity( + author=user_name, + name=db_provider.name, + label=I18nObject(en_US=db_provider.name, zh_Hans=db_provider.name), + description=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description), + icon=db_provider.icon, + ), + credentials_schema=credentials_schema, + plugin_id=None, ), - credentials_schema=credentials_schema, provider_id=db_provider.id or "", - tools=None, + tenant_id=db_provider.tenant_id or "", ) @property @@ -96,21 +109,28 @@ def _parse_tool_bundle(self, tool_bundle: ApiToolBundle) -> ApiTool: """ return ApiTool( api_bundle=tool_bundle, - identity=ToolIdentity( - author=tool_bundle.author, - name=tool_bundle.operation_id or "", - label=I18nObject(en_US=tool_bundle.operation_id, zh_Hans=tool_bundle.operation_id), - icon=self.identity.icon if self.identity else None, - provider=self.provider_id, - ), - description=ToolDescription( - human=I18nObject(en_US=tool_bundle.summary or "", zh_Hans=tool_bundle.summary or ""), - llm=tool_bundle.summary or "", + provider_id=self.provider_id, + entity=ToolEntity( + identity=ToolIdentity( + author=tool_bundle.author, + name=tool_bundle.operation_id or "default_tool", + label=I18nObject( + en_US=tool_bundle.operation_id or "default_tool", + zh_Hans=tool_bundle.operation_id or "default_tool", + ), + icon=self.entity.identity.icon, + provider=self.provider_id, + ), + description=ToolDescription( + human=I18nObject(en_US=tool_bundle.summary or "", zh_Hans=tool_bundle.summary or ""), + llm=tool_bundle.summary or "", + ), + parameters=tool_bundle.parameters or [], ), - parameters=tool_bundle.parameters or [], + runtime=ToolRuntime(tenant_id=self.tenant_id), ) - def load_bundled_tools(self, tools: list[ApiToolBundle]) -> list[Tool]: + def load_bundled_tools(self, tools: list[ApiToolBundle]): """ load bundled tools @@ -121,7 +141,7 @@ def load_bundled_tools(self, tools: list[ApiToolBundle]) -> list[Tool]: return self.tools - def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]: + def get_tools(self, tenant_id: str) -> list[ApiTool]: """ fetch tools from database @@ -129,17 +149,15 @@ def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Too :param tenant_id: the tenant id :return: the tools """ - if self.tools is not None: + if len(self.tools) > 0: return self.tools - if self.identity is None: - return None - tools: list[Tool] = [] + tools: list[ApiTool] = [] # get tenant api providers db_providers: list[ApiToolProvider] = ( db.session.query(ApiToolProvider) - .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.name == self.identity.name) + .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.name == self.entity.identity.name) .all() ) @@ -147,13 +165,12 @@ def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Too for db_provider in db_providers: for tool in db_provider.tools: assistant_tool = self._parse_tool_bundle(tool) - assistant_tool.is_team_authorization = True tools.append(assistant_tool) self.tools = tools return tools - def get_tool(self, tool_name: str) -> Tool: + def get_tool(self, tool_name: str): """ get tool by name @@ -161,12 +178,10 @@ def get_tool(self, tool_name: str) -> Tool: :return: the tool """ if self.tools is None: - self.get_tools() + self.get_tools(self.tenant_id) - for tool in self.tools or []: - if tool.identity is None: - continue - if tool.identity.name == tool_name: + for tool in self.tools: + if tool.entity.identity.name == tool_name: return tool raise ValueError(f"tool {tool_name} not found") diff --git a/api/core/tools/tool/api_tool.py b/api/core/tools/custom_tool/tool.py similarity index 91% rename from api/core/tools/tool/api_tool.py rename to api/core/tools/custom_tool/tool.py index 6904fecb46698b..f8467c54c5e24d 100644 --- a/api/core/tools/tool/api_tool.py +++ b/api/core/tools/custom_tool/tool.py @@ -1,16 +1,18 @@ import json +from collections.abc import Generator from os import getenv -from typing import Any +from typing import Any, Optional from urllib.parse import urlencode import httpx from core.file.file_manager import download from core.helper import ssrf_proxy +from core.tools.__base.tool import Tool +from core.tools.__base.tool_runtime import ToolRuntime from core.tools.entities.tool_bundle import ApiToolBundle -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType +from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolProviderType from core.tools.errors import ToolInvokeError, ToolParameterValidationError, ToolProviderCredentialValidationError -from core.tools.tool.tool import Tool API_TOOL_DEFAULT_TIMEOUT = ( int(getenv("API_TOOL_DEFAULT_CONNECT_TIMEOUT", "10")), @@ -20,12 +22,18 @@ class ApiTool(Tool): api_bundle: ApiToolBundle + provider_id: str """ Api tool """ - def fork_tool_runtime(self, runtime: dict[str, Any]) -> "Tool": + def __init__(self, entity: ToolEntity, api_bundle: ApiToolBundle, runtime: ToolRuntime, provider_id: str): + super().__init__(entity, runtime) + self.api_bundle = api_bundle + self.provider_id = provider_id + + def fork_tool_runtime(self, runtime: ToolRuntime): """ fork a new tool with meta data @@ -35,11 +43,10 @@ def fork_tool_runtime(self, runtime: dict[str, Any]) -> "Tool": if self.api_bundle is None: raise ValueError("api_bundle is required") return self.__class__( - identity=self.identity.model_copy() if self.identity else None, - parameters=self.parameters.copy() if self.parameters else None, - description=self.description.model_copy() if self.description else None, + entity=self.entity, api_bundle=self.api_bundle.model_copy(), - runtime=Tool.Runtime(**runtime), + runtime=runtime, + provider_id=self.provider_id, ) def validate_credentials( @@ -62,6 +69,9 @@ def tool_provider_type(self) -> ToolProviderType: return ToolProviderType.API def assembling_request(self, parameters: dict[str, Any]) -> dict[str, Any]: + if self.runtime is None: + raise ToolProviderCredentialValidationError("runtime not initialized") + headers = {} if self.runtime is None: raise ValueError("runtime is required") @@ -115,9 +125,9 @@ def validate_and_parse_response(self, response: httpx.Response) -> str: response = response.json() try: return json.dumps(response, ensure_ascii=False) - except Exception as e: + except Exception: return json.dumps(response) - except Exception as e: + except Exception: return response.text else: raise ValueError(f"Invalid response type {type(response)}") @@ -301,10 +311,17 @@ def _convert_body_property_type(self, property: dict[str, Any], value: Any) -> A raise ValueError(f"Invalid type {property['type']} for property {property}") elif "anyOf" in property and isinstance(property["anyOf"], list): return self._convert_body_property_any_of(property, value, property["anyOf"]) - except ValueError as e: + except ValueError: return value - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ invoke http request """ @@ -319,4 +336,4 @@ def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMe response = self.validate_and_parse_response(response) # assemble invoke message - return self.create_text_message(response) + yield self.create_text_message(response) diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/__init__.py b/api/core/tools/entities/agent_entities.py similarity index 100% rename from api/core/model_runtime/model_providers/azure_ai_studio/__init__.py rename to api/core/tools/entities/agent_entities.py diff --git a/api/core/tools/entities/api_entities.py b/api/core/tools/entities/api_entities.py index 975c374cae8356..b96c994cff555b 100644 --- a/api/core/tools/entities/api_entities.py +++ b/api/core/tools/entities/api_entities.py @@ -3,37 +3,40 @@ from pydantic import BaseModel, Field, field_validator from core.model_runtime.utils.encoders import jsonable_encoder +from core.tools.__base.tool import ToolParameter from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolProviderCredentials, ToolProviderType -from core.tools.tool.tool import ToolParameter +from core.tools.entities.tool_entities import ToolProviderType -class UserTool(BaseModel): +class ToolApiEntity(BaseModel): author: str name: str # identifier label: I18nObject # label description: I18nObject parameters: Optional[list[ToolParameter]] = None - labels: list[str] | None = None + labels: list[str] = Field(default_factory=list) + output_schema: Optional[dict] = None -UserToolProviderTypeLiteral = Optional[Literal["builtin", "api", "workflow"]] +ToolProviderTypeApiLiteral = Optional[Literal["builtin", "api", "workflow"]] -class UserToolProvider(BaseModel): +class ToolProviderApiEntity(BaseModel): id: str author: str name: str # identifier description: I18nObject - icon: str + icon: str | dict label: I18nObject # label type: ToolProviderType masked_credentials: Optional[dict] = None original_credentials: Optional[dict] = None is_team_authorization: bool = False allow_delete: bool = True - tools: list[UserTool] = Field(default_factory=list) - labels: list[str] | None = None + plugin_id: Optional[str] = Field(default="", description="The plugin id of the tool") + plugin_unique_identifier: Optional[str] = Field(default="", description="The unique identifier of the tool") + tools: list[ToolApiEntity] = Field(default_factory=list) + labels: list[str] = Field(default_factory=list) @field_validator("tools", mode="before") @classmethod @@ -55,6 +58,8 @@ def to_dict(self) -> dict: "id": self.id, "author": self.author, "name": self.name, + "plugin_id": self.plugin_id, + "plugin_unique_identifier": self.plugin_unique_identifier, "description": self.description.to_dict(), "icon": self.icon, "label": self.label.to_dict(), @@ -65,7 +70,3 @@ def to_dict(self) -> dict: "tools": tools, "labels": self.labels, } - - -class UserToolProviderCredentials(BaseModel): - credentials: dict[str, ToolProviderCredentials] diff --git a/api/core/tools/entities/constants.py b/api/core/tools/entities/constants.py new file mode 100644 index 00000000000000..199c9f0d53aca8 --- /dev/null +++ b/api/core/tools/entities/constants.py @@ -0,0 +1 @@ +TOOL_SELECTOR_MODEL_IDENTITY = "__dify__tool_selector__" diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/__init__.py b/api/core/tools/entities/file_entities.py similarity index 100% rename from api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/base/__init__.py rename to api/core/tools/entities/file_entities.py diff --git a/api/core/tools/entities/tool_bundle.py b/api/core/tools/entities/tool_bundle.py index 7c365dc69d3b39..ffeeabbc1c2a54 100644 --- a/api/core/tools/entities/tool_bundle.py +++ b/api/core/tools/entities/tool_bundle.py @@ -18,7 +18,7 @@ class ApiToolBundle(BaseModel): # summary summary: Optional[str] = None # operation_id - operation_id: str | None = None + operation_id: Optional[str] = None # parameters parameters: Optional[list[ToolParameter]] = None # author diff --git a/api/core/tools/entities/tool_entities.py b/api/core/tools/entities/tool_entities.py index c87a90c03a6f7e..b8eae600d16a27 100644 --- a/api/core/tools/entities/tool_entities.py +++ b/api/core/tools/entities/tool_entities.py @@ -1,9 +1,22 @@ -from enum import Enum, StrEnum -from typing import Any, Optional, Union, cast - -from pydantic import BaseModel, Field, field_validator - +import base64 +import enum +from collections.abc import Mapping +from enum import Enum +from typing import Any, Optional, Union + +from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_serializer, field_validator, model_validator + +from core.entities.provider_entities import ProviderConfig +from core.plugin.entities.parameters import ( + PluginParameter, + PluginParameterOption, + PluginParameterType, + as_normal_type, + cast_parameter_value, + init_frontend_parameter, +) from core.tools.entities.common_entities import I18nObject +from core.tools.entities.constants import TOOL_SELECTOR_MODEL_IDENTITY class ToolLabelEnum(Enum): @@ -25,11 +38,12 @@ class ToolLabelEnum(Enum): OTHER = "other" -class ToolProviderType(Enum): +class ToolProviderType(enum.StrEnum): """ Enum class for tool provider """ + PLUGIN = "plugin" BUILT_IN = "builtin" WORKFLOW = "workflow" API = "api" @@ -97,6 +111,64 @@ def value_of(cls, value: str) -> "ApiProviderAuthType": class ToolInvokeMessage(BaseModel): + class TextMessage(BaseModel): + text: str + + class JsonMessage(BaseModel): + json_object: dict + + class BlobMessage(BaseModel): + blob: bytes + + class FileMessage(BaseModel): + pass + + class VariableMessage(BaseModel): + variable_name: str = Field(..., description="The name of the variable") + variable_value: Any = Field(..., description="The value of the variable") + stream: bool = Field(default=False, description="Whether the variable is streamed") + + @model_validator(mode="before") + @classmethod + def transform_variable_value(cls, values) -> Any: + """ + Only basic types and lists are allowed. + """ + value = values.get("variable_value") + if not isinstance(value, dict | list | str | int | float | bool): + raise ValueError("Only basic types and lists are allowed.") + + # if stream is true, the value must be a string + if values.get("stream"): + if not isinstance(value, str): + raise ValueError("When 'stream' is True, 'variable_value' must be a string.") + + return values + + @field_validator("variable_name", mode="before") + @classmethod + def transform_variable_name(cls, value: str) -> str: + """ + The variable name must be a string. + """ + if value in {"json", "text", "files"}: + raise ValueError(f"The variable name '{value}' is reserved.") + return value + + class LogMessage(BaseModel): + class LogStatus(Enum): + START = "start" + ERROR = "error" + SUCCESS = "success" + + id: str + label: str = Field(..., description="The label of the log") + parent_id: Optional[str] = Field(default=None, description="Leave empty for root log") + error: Optional[str] = Field(default=None, description="The error message") + status: LogStatus = Field(..., description="The status of the log") + data: Mapping[str, Any] = Field(..., description="Detailed log data") + metadata: Optional[Mapping[str, Any]] = Field(default=None, description="The metadata of the log") + class MessageType(Enum): TEXT = "text" IMAGE = "image" @@ -104,132 +176,86 @@ class MessageType(Enum): BLOB = "blob" JSON = "json" IMAGE_LINK = "image_link" + BINARY_LINK = "binary_link" + VARIABLE = "variable" FILE = "file" + LOG = "log" type: MessageType = MessageType.TEXT """ plain text, image url or link url """ - message: str | bytes | dict | None = None - # TODO: Use a BaseModel for meta - meta: dict[str, Any] = Field(default_factory=dict) - save_as: str = "" + message: JsonMessage | TextMessage | BlobMessage | VariableMessage | FileMessage | LogMessage | None + meta: dict[str, Any] | None = None + + @field_validator("message", mode="before") + @classmethod + def decode_blob_message(cls, v): + if isinstance(v, dict) and "blob" in v: + try: + v["blob"] = base64.b64decode(v["blob"]) + except Exception: + pass + return v + + @field_serializer("message") + def serialize_message(self, v): + if isinstance(v, self.BlobMessage): + return {"blob": base64.b64encode(v.blob).decode("utf-8")} + return v class ToolInvokeMessageBinary(BaseModel): mimetype: str = Field(..., description="The mimetype of the binary") url: str = Field(..., description="The url of the binary") - save_as: str = "" file_var: Optional[dict[str, Any]] = None -class ToolParameterOption(BaseModel): - value: str = Field(..., description="The value of the option") - label: I18nObject = Field(..., description="The label of the option") - - @field_validator("value", mode="before") - @classmethod - def transform_id_to_str(cls, value) -> str: - if not isinstance(value, str): - return str(value) - else: - return value +class ToolParameter(PluginParameter): + """ + Overrides type + """ + class ToolParameterType(enum.StrEnum): + """ + removes TOOLS_SELECTOR from PluginParameterType + """ -class ToolParameter(BaseModel): - class ToolParameterType(StrEnum): - STRING = "string" - NUMBER = "number" - BOOLEAN = "boolean" - SELECT = "select" - SECRET_INPUT = "secret-input" - FILE = "file" - FILES = "files" + STRING = PluginParameterType.STRING.value + NUMBER = PluginParameterType.NUMBER.value + BOOLEAN = PluginParameterType.BOOLEAN.value + SELECT = PluginParameterType.SELECT.value + SECRET_INPUT = PluginParameterType.SECRET_INPUT.value + FILE = PluginParameterType.FILE.value + FILES = PluginParameterType.FILES.value + APP_SELECTOR = PluginParameterType.APP_SELECTOR.value + MODEL_SELECTOR = PluginParameterType.MODEL_SELECTOR.value # deprecated, should not use. - SYSTEM_FILES = "systme-files" + SYSTEM_FILES = PluginParameterType.SYSTEM_FILES.value def as_normal_type(self): - if self in { - ToolParameter.ToolParameterType.SECRET_INPUT, - ToolParameter.ToolParameterType.SELECT, - }: - return "string" - return self.value - - def cast_value(self, value: Any, /): - try: - match self: - case ( - ToolParameter.ToolParameterType.STRING - | ToolParameter.ToolParameterType.SECRET_INPUT - | ToolParameter.ToolParameterType.SELECT - ): - if value is None: - return "" - else: - return value if isinstance(value, str) else str(value) - - case ToolParameter.ToolParameterType.BOOLEAN: - if value is None: - return False - elif isinstance(value, str): - # Allowed YAML boolean value strings: https://yaml.org/type/bool.html - # and also '0' for False and '1' for True - match value.lower(): - case "true" | "yes" | "y" | "1": - return True - case "false" | "no" | "n" | "0": - return False - case _: - return bool(value) - else: - return value if isinstance(value, bool) else bool(value) - - case ToolParameter.ToolParameterType.NUMBER: - if isinstance(value, int | float): - return value - elif isinstance(value, str) and value: - if "." in value: - return float(value) - else: - return int(value) - case ( - ToolParameter.ToolParameterType.SYSTEM_FILES - | ToolParameter.ToolParameterType.FILE - | ToolParameter.ToolParameterType.FILES - ): - return value - case _: - return str(value) + return as_normal_type(self) - except Exception: - raise ValueError(f"The tool parameter value {value} is not in correct type.") + def cast_value(self, value: Any): + return cast_parameter_value(self, value) class ToolParameterForm(Enum): SCHEMA = "schema" # should be set while adding tool FORM = "form" # should be set before invoking tool LLM = "llm" # will be set by LLM - name: str = Field(..., description="The name of the parameter") - label: I18nObject = Field(..., description="The label presented to the user") - human_description: Optional[I18nObject] = Field(None, description="The description presented to the user") - placeholder: Optional[I18nObject] = Field(None, description="The placeholder presented to the user") type: ToolParameterType = Field(..., description="The type of the parameter") + human_description: Optional[I18nObject] = Field(default=None, description="The description presented to the user") form: ToolParameterForm = Field(..., description="The form of the parameter, schema/form/llm") llm_description: Optional[str] = None - required: Optional[bool] = False - default: Optional[Union[float, int, str]] = None - min: Optional[Union[float, int]] = None - max: Optional[Union[float, int]] = None - options: Optional[list[ToolParameterOption]] = None @classmethod def get_simple_instance( cls, name: str, llm_description: str, - type: ToolParameterType, + typ: ToolParameterType, required: bool, options: Optional[list[str]] = None, ) -> "ToolParameter": @@ -245,22 +271,28 @@ def get_simple_instance( # convert options to ToolParameterOption # FIXME fix the type error if options: - options = [ - ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) # type: ignore - for option in options # type: ignore + option_objs = [ + PluginParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) + for option in options ] + else: + option_objs = [] + return cls( name=name, label=I18nObject(en_US="", zh_Hans=""), - human_description=I18nObject(en_US="", zh_Hans=""), placeholder=None, - type=type, + human_description=I18nObject(en_US="", zh_Hans=""), + type=typ, form=cls.ToolParameterForm.LLM, llm_description=llm_description, required=required, - options=options, # type: ignore + options=option_objs, ) + def init_frontend_parameter(self, value: Any): + return init_frontend_parameter(self, self.type, value) + class ToolProviderIdentity(BaseModel): author: str = Field(..., description="The author of the tool") @@ -274,11 +306,6 @@ class ToolProviderIdentity(BaseModel): ) -class ToolDescription(BaseModel): - human: I18nObject = Field(..., description="The description presented to the user") - llm: str = Field(..., description="The description presented to the LLM") - - class ToolIdentity(BaseModel): author: str = Field(..., description="The author of the tool") name: str = Field(..., description="The name of the tool") @@ -287,185 +314,35 @@ class ToolIdentity(BaseModel): icon: Optional[str] = None -class ToolCredentialsOption(BaseModel): - value: str = Field(..., description="The value of the option") - label: I18nObject = Field(..., description="The label of the option") - - -class ToolProviderCredentials(BaseModel): - class CredentialsType(Enum): - SECRET_INPUT = "secret-input" - TEXT_INPUT = "text-input" - SELECT = "select" - BOOLEAN = "boolean" - - @classmethod - def value_of(cls, value: str) -> "ToolProviderCredentials.CredentialsType": - """ - Get value of given mode. - - :param value: mode value - :return: mode - """ - for mode in cls: - if mode.value == value: - return mode - raise ValueError(f"invalid mode value {value}") - - @staticmethod - def default(value: str) -> str: - return "" - - name: str = Field(..., description="The name of the credentials") - type: CredentialsType = Field(..., description="The type of the credentials") - required: bool = False - default: Optional[Union[int, str]] = None - options: Optional[list[ToolCredentialsOption]] = None - label: Optional[I18nObject] = None - help: Optional[I18nObject] = None - url: Optional[str] = None - placeholder: Optional[I18nObject] = None - - def to_dict(self) -> dict: - return { - "name": self.name, - "type": self.type.value, - "required": self.required, - "default": self.default, - "options": self.options, - "help": self.help.to_dict() if self.help else None, - "label": self.label.to_dict() if self.label else None, - "url": self.url, - "placeholder": self.placeholder.to_dict() if self.placeholder else None, - } - - -class ToolRuntimeVariableType(Enum): - TEXT = "text" - IMAGE = "image" - - -class ToolRuntimeVariable(BaseModel): - type: ToolRuntimeVariableType = Field(..., description="The type of the variable") - name: str = Field(..., description="The name of the variable") - position: int = Field(..., description="The position of the variable") - tool_name: str = Field(..., description="The name of the tool") - - -class ToolRuntimeTextVariable(ToolRuntimeVariable): - value: str = Field(..., description="The value of the variable") - - -class ToolRuntimeImageVariable(ToolRuntimeVariable): - value: str = Field(..., description="The path of the image") - - -class ToolRuntimeVariablePool(BaseModel): - conversation_id: str = Field(..., description="The conversation id") - user_id: str = Field(..., description="The user id") - tenant_id: str = Field(..., description="The tenant id of assistant") - - pool: list[ToolRuntimeVariable] = Field(..., description="The pool of variables") - - def __init__(self, **data: Any): - pool = data.get("pool", []) - # convert pool into correct type - for index, variable in enumerate(pool): - if variable["type"] == ToolRuntimeVariableType.TEXT.value: - pool[index] = ToolRuntimeTextVariable(**variable) - elif variable["type"] == ToolRuntimeVariableType.IMAGE.value: - pool[index] = ToolRuntimeImageVariable(**variable) - super().__init__(**data) - - def dict(self) -> dict: # type: ignore - """ - FIXME: just ignore the type check for now - """ - return { - "conversation_id": self.conversation_id, - "user_id": self.user_id, - "tenant_id": self.tenant_id, - "pool": [variable.model_dump() for variable in self.pool], - } - - def set_text(self, tool_name: str, name: str, value: str) -> None: - """ - set a text variable - """ - for variable in self.pool: - if variable.name == name: - if variable.type == ToolRuntimeVariableType.TEXT: - variable = cast(ToolRuntimeTextVariable, variable) - variable.value = value - return - - variable = ToolRuntimeTextVariable( - type=ToolRuntimeVariableType.TEXT, - name=name, - position=len(self.pool), - tool_name=tool_name, - value=value, - ) - - self.pool.append(variable) - - def set_file(self, tool_name: str, value: str, name: Optional[str] = None) -> None: - """ - set an image variable - - :param tool_name: the name of the tool - :param value: the id of the file - """ - # check how many image variables are there - image_variable_count = 0 - for variable in self.pool: - if variable.type == ToolRuntimeVariableType.IMAGE: - image_variable_count += 1 - - if name is None: - name = f"file_{image_variable_count}" - - for variable in self.pool: - if variable.name == name: - if variable.type == ToolRuntimeVariableType.IMAGE: - variable = cast(ToolRuntimeImageVariable, variable) - variable.value = value - return - - variable = ToolRuntimeImageVariable( - type=ToolRuntimeVariableType.IMAGE, - name=name, - position=len(self.pool), - tool_name=tool_name, - value=value, - ) - - self.pool.append(variable) +class ToolDescription(BaseModel): + human: I18nObject = Field(..., description="The description presented to the user") + llm: str = Field(..., description="The description presented to the LLM") -class ModelToolPropertyKey(Enum): - IMAGE_PARAMETER_NAME = "image_parameter_name" +class ToolEntity(BaseModel): + identity: ToolIdentity + parameters: list[ToolParameter] = Field(default_factory=list) + description: Optional[ToolDescription] = None + output_schema: Optional[dict] = None + has_runtime_parameters: bool = Field(default=False, description="Whether the tool has runtime parameters") + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) -class ModelToolConfiguration(BaseModel): - """ - Model tool configuration - """ + @field_validator("parameters", mode="before") + @classmethod + def set_parameters(cls, v, validation_info: ValidationInfo) -> list[ToolParameter]: + return v or [] - type: str = Field(..., description="The type of the model tool") - model: str = Field(..., description="The model") - label: I18nObject = Field(..., description="The label of the model tool") - properties: dict[ModelToolPropertyKey, Any] = Field(..., description="The properties of the model tool") +class ToolProviderEntity(BaseModel): + identity: ToolProviderIdentity + plugin_id: Optional[str] = None + credentials_schema: list[ProviderConfig] = Field(default_factory=list) -class ModelToolProviderConfiguration(BaseModel): - """ - Model tool provider configuration - """ - provider: str = Field(..., description="The provider of the model tool") - models: list[ModelToolConfiguration] = Field(..., description="The models of the model tool") - label: I18nObject = Field(..., description="The label of the model tool") +class ToolProviderEntityWithPlugin(ToolProviderEntity): + tools: list[ToolEntity] = Field(default_factory=list) class WorkflowToolParameterConfiguration(BaseModel): @@ -526,3 +403,25 @@ class ToolInvokeFrom(Enum): WORKFLOW = "workflow" AGENT = "agent" + PLUGIN = "plugin" + + +class ToolSelector(BaseModel): + dify_model_identity: str = TOOL_SELECTOR_MODEL_IDENTITY + + class Parameter(BaseModel): + name: str = Field(..., description="The name of the parameter") + type: ToolParameter.ToolParameterType = Field(..., description="The type of the parameter") + required: bool = Field(..., description="Whether the parameter is required") + description: str = Field(..., description="The description of the parameter") + default: Optional[Union[int, float, str]] = None + options: Optional[list[PluginParameterOption]] = None + + provider_id: str = Field(..., description="The id of the provider") + tool_name: str = Field(..., description="The name of the tool") + tool_description: str = Field(..., description="The description of the tool") + tool_configuration: Mapping[str, Any] = Field(..., description="Configuration, type form") + tool_parameters: Mapping[str, Parameter] = Field(..., description="Parameters, type llm") + + def to_plugin_parameter(self) -> dict[str, Any]: + return self.model_dump() diff --git a/api/core/tools/plugin_tool/provider.py b/api/core/tools/plugin_tool/provider.py new file mode 100644 index 00000000000000..3616e426b97860 --- /dev/null +++ b/api/core/tools/plugin_tool/provider.py @@ -0,0 +1,79 @@ +from typing import Any + +from core.plugin.manager.tool import PluginToolManager +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.builtin_tool.provider import BuiltinToolProviderController +from core.tools.entities.tool_entities import ToolProviderEntityWithPlugin, ToolProviderType +from core.tools.errors import ToolProviderCredentialValidationError +from core.tools.plugin_tool.tool import PluginTool + + +class PluginToolProviderController(BuiltinToolProviderController): + entity: ToolProviderEntityWithPlugin + tenant_id: str + plugin_id: str + plugin_unique_identifier: str + + def __init__( + self, entity: ToolProviderEntityWithPlugin, plugin_id: str, plugin_unique_identifier: str, tenant_id: str + ) -> None: + self.entity = entity + self.tenant_id = tenant_id + self.plugin_id = plugin_id + self.plugin_unique_identifier = plugin_unique_identifier + + @property + def provider_type(self) -> ToolProviderType: + """ + returns the type of the provider + + :return: type of the provider + """ + return ToolProviderType.PLUGIN + + def _validate_credentials(self, user_id: str, credentials: dict[str, Any]) -> None: + """ + validate the credentials of the provider + """ + manager = PluginToolManager() + if not manager.validate_provider_credentials( + tenant_id=self.tenant_id, + user_id=user_id, + provider=self.entity.identity.name, + credentials=credentials, + ): + raise ToolProviderCredentialValidationError("Invalid credentials") + + def get_tool(self, tool_name: str) -> PluginTool: # type: ignore + """ + return tool with given name + """ + tool_entity = next( + (tool_entity for tool_entity in self.entity.tools if tool_entity.identity.name == tool_name), None + ) + + if not tool_entity: + raise ValueError(f"Tool with name {tool_name} not found") + + return PluginTool( + entity=tool_entity, + runtime=ToolRuntime(tenant_id=self.tenant_id), + tenant_id=self.tenant_id, + icon=self.entity.identity.icon, + plugin_unique_identifier=self.plugin_unique_identifier, + ) + + def get_tools(self) -> list[PluginTool]: # type: ignore + """ + get all tools + """ + return [ + PluginTool( + entity=tool_entity, + runtime=ToolRuntime(tenant_id=self.tenant_id), + tenant_id=self.tenant_id, + icon=self.entity.identity.icon, + plugin_unique_identifier=self.plugin_unique_identifier, + ) + for tool_entity in self.entity.tools + ] diff --git a/api/core/tools/plugin_tool/tool.py b/api/core/tools/plugin_tool/tool.py new file mode 100644 index 00000000000000..f31a9a0d3e3b88 --- /dev/null +++ b/api/core/tools/plugin_tool/tool.py @@ -0,0 +1,89 @@ +from collections.abc import Generator +from typing import Any, Optional + +from core.plugin.manager.tool import PluginToolManager +from core.plugin.utils.converter import convert_parameters_to_plugin_format +from core.tools.__base.tool import Tool +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolParameter, ToolProviderType + + +class PluginTool(Tool): + tenant_id: str + icon: str + plugin_unique_identifier: str + runtime_parameters: Optional[list[ToolParameter]] + + def __init__( + self, entity: ToolEntity, runtime: ToolRuntime, tenant_id: str, icon: str, plugin_unique_identifier: str + ) -> None: + super().__init__(entity, runtime) + self.tenant_id = tenant_id + self.icon = icon + self.plugin_unique_identifier = plugin_unique_identifier + self.runtime_parameters = None + + def tool_provider_type(self) -> ToolProviderType: + return ToolProviderType.PLUGIN + + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: + manager = PluginToolManager() + + tool_parameters = convert_parameters_to_plugin_format(tool_parameters) + + yield from manager.invoke( + tenant_id=self.tenant_id, + user_id=user_id, + tool_provider=self.entity.identity.provider, + tool_name=self.entity.identity.name, + credentials=self.runtime.credentials, + tool_parameters=tool_parameters, + conversation_id=conversation_id, + app_id=app_id, + message_id=message_id, + ) + + def fork_tool_runtime(self, runtime: ToolRuntime) -> "PluginTool": + return PluginTool( + entity=self.entity, + runtime=runtime, + tenant_id=self.tenant_id, + icon=self.icon, + plugin_unique_identifier=self.plugin_unique_identifier, + ) + + def get_runtime_parameters( + self, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> list[ToolParameter]: + """ + get the runtime parameters + """ + if not self.entity.has_runtime_parameters: + return self.entity.parameters + + if self.runtime_parameters is not None: + return self.runtime_parameters + + manager = PluginToolManager() + self.runtime_parameters = manager.get_runtime_parameters( + tenant_id=self.tenant_id, + user_id="", + provider=self.entity.identity.provider, + tool=self.entity.identity.name, + credentials=self.runtime.credentials, + conversation_id=conversation_id, + app_id=app_id, + message_id=message_id, + ) + + return self.runtime_parameters diff --git a/api/core/tools/provider/_position.yaml b/api/core/tools/provider/_position.yaml deleted file mode 100644 index 937fb40774cbac..00000000000000 --- a/api/core/tools/provider/_position.yaml +++ /dev/null @@ -1,81 +0,0 @@ -- google -- bing -- perplexity -- duckduckgo -- searchapi -- serper -- searxng -- websearch -- tavily -- stackexchange -- pubmed -- arxiv -- aws -- nominatim -- devdocs -- spider -- firecrawl -- brave -- crossref -- jina -- webscraper -- dalle -- azuredalle -- stability -- stablediffusion -- cogview -- comfyui -- getimgai -- siliconflow -- spark -- stepfun -- xinference -- alphavantage -- yahoo -- openweather -- gaode -- aippt -- chart -- youtube -- did -- dingtalk -- discord -- feishu -- feishu_base -- feishu_document -- feishu_message -- feishu_wiki -- feishu_task -- feishu_calendar -- feishu_spreadsheet -- lark_base -- lark_document -- lark_message_and_group -- lark_wiki -- lark_task -- lark_calendar -- lark_spreadsheet -- slack -- twilio -- wecom -- wikipedia -- code -- wolframalpha -- maths -- github -- gitlab -- time -- vectorizer -- qrcode -- tianditu -- aliyuque -- google_translate -- hap -- json_process -- judge0ce -- novitaai -- onebot -- regex -- trello -- vanna -- fal diff --git a/api/core/tools/provider/app_tool_provider.py b/api/core/tools/provider/app_tool_provider.py deleted file mode 100644 index fc29920acd40dc..00000000000000 --- a/api/core/tools/provider/app_tool_provider.py +++ /dev/null @@ -1,106 +0,0 @@ -import logging -from typing import Any, Optional - -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolParameter, ToolParameterOption, ToolProviderType -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.tool.api_tool import ApiTool -from core.tools.tool.tool import Tool -from extensions.ext_database import db -from models.model import App, AppModelConfig -from models.tools import PublishedAppTool - -logger = logging.getLogger(__name__) - - -class AppToolProviderEntity(ToolProviderController): - @property - def provider_type(self) -> ToolProviderType: - return ToolProviderType.APP - - def _validate_credentials(self, tool_name: str, credentials: dict[str, Any]) -> None: - pass - - def validate_parameters(self, tool_id: int, tool_name: str, tool_parameters: dict[str, Any]) -> None: - pass - - def get_tools(self, user_id: str = "", tenant_id: str = "") -> list[Tool]: - db_tools: list[PublishedAppTool] = ( - db.session.query(PublishedAppTool) - .filter( - PublishedAppTool.user_id == user_id, - ) - .all() - ) - - if not db_tools or len(db_tools) == 0: - return [] - - tools: list[Tool] = [] - - for db_tool in db_tools: - tool: dict[str, Any] = { - "identity": { - "author": db_tool.author, - "name": db_tool.tool_name, - "label": {"en_US": db_tool.tool_name, "zh_Hans": db_tool.tool_name}, - "icon": "", - }, - "description": { - "human": {"en_US": db_tool.description_i18n.en_US, "zh_Hans": db_tool.description_i18n.zh_Hans}, - "llm": db_tool.llm_description, - }, - "parameters": [], - } - # get app from db - app: Optional[App] = db_tool.app - - if not app: - logger.error(f"app {db_tool.app_id} not found") - continue - - app_model_config: AppModelConfig = app.app_model_config - user_input_form_list = app_model_config.user_input_form_list - for input_form in user_input_form_list: - # get type - form_type = list(input_form.keys())[0] - default = input_form[form_type]["default"] - required = input_form[form_type]["required"] - label = input_form[form_type]["label"] - variable_name = input_form[form_type]["variable_name"] - options = input_form[form_type].get("options", []) - if form_type in {"paragraph", "text-input"}: - tool["parameters"].append( - ToolParameter( - name=variable_name, - label=I18nObject(en_US=label, zh_Hans=label), - human_description=I18nObject(en_US=label, zh_Hans=label), - llm_description=label, - form=ToolParameter.ToolParameterForm.FORM, - type=ToolParameter.ToolParameterType.STRING, - required=required, - default=default, - placeholder=I18nObject(en_US="", zh_Hans=""), - ) - ) - elif form_type == "select": - tool["parameters"].append( - ToolParameter( - name=variable_name, - label=I18nObject(en_US=label, zh_Hans=label), - human_description=I18nObject(en_US=label, zh_Hans=label), - llm_description=label, - form=ToolParameter.ToolParameterForm.FORM, - type=ToolParameter.ToolParameterType.SELECT, - required=required, - default=default, - placeholder=I18nObject(en_US="", zh_Hans=""), - options=[ - ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) - for option in options - ], - ) - ) - - tools.append(ApiTool(**tool)) - return tools diff --git a/api/core/tools/provider/builtin/__init__.py b/api/core/tools/provider/builtin/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/tools/provider/builtin/aippt/_assets/icon.png b/api/core/tools/provider/builtin/aippt/_assets/icon.png deleted file mode 100644 index b70618b4878984f88dd1991a64cc69bc0afeaaa8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1961 zcmV;a2UhrrP)}be?ilJh^tl7C04E7Km3nmuE)r9#}WA}rRl?ISYbedqU*T|WL)~Yw( zP?|Jh;?dp!(3&jVCkLS8&FUWaO>-bs*(NZtmjFC017KdFu(8U=ed`$sqx}y-6ABrr zGa%WqqYeovwib-*3jm<3Sy=1}AX(UyH4hD|O7k_sW`b#b2>_H$wBI7k-Ykyv)Bg@RW?`53 zId_Ix99W&^*D=E&>{#Uh$ZKx=*zkGdPc-Ec?Ia`?YN2WsA!HC$`4%v&A^=eCiYRQE zoUwc-%#sj55az4wR$5L9E#_ z=Ibgu5R0WoKwAXhQ@Y+9rz$%xH=AKC&=vvsHs8KV7_&`o+_#rQTLchHs$qqc`HJ;@ zG@7{*0R*53vF?$a@%*LNr{d7Id;rZ61Rz9d^C&~*2c!THJ{#KViZxv)a9`M34I#F_ z?tSLO-hnn?f%O7vay9W=mEA)(Qx~hYZDf zQ7+YBZHdR@L!lzVAZ#maLjYw;C-!tnV~%SYGfHU+`)SyQ0Lm00sWDV#hoz2w!XGbP 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a/api/core/tools/provider/builtin/aippt/aippt.py +++ /dev/null @@ -1,11 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.aippt.tools.aippt import AIPPTGenerateTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class AIPPTProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - AIPPTGenerateTool._get_api_token(credentials, user_id="__dify_system__") - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/aippt/aippt.yaml b/api/core/tools/provider/builtin/aippt/aippt.yaml deleted file mode 100644 index 9b1b45d0f21a73..00000000000000 --- a/api/core/tools/provider/builtin/aippt/aippt.yaml +++ /dev/null @@ -1,45 +0,0 @@ -identity: - author: Dify - name: aippt - label: - en_US: AIPPT - zh_Hans: AIPPT - description: - en_US: AI-generated PPT with one click, input your content topic, and let AI serve you one-stop - zh_Hans: AI一键生成PPT，输入你的内容主题，让AI为你一站式服务到底 - icon: icon.png - tags: - - productivity - - design -credentials_for_provider: - aippt_access_key: - type: secret-input - required: true - label: - en_US: AIPPT API key - zh_Hans: AIPPT API key - pt_BR: AIPPT API key - help: - en_US: Please input your AIPPT API key - zh_Hans: 请输入你的 AIPPT API key - pt_BR: Please input your AIPPT API key - placeholder: - en_US: Please input your AIPPT API key - zh_Hans: 请输入你的 AIPPT API key - pt_BR: Please input your AIPPT API key - url: https://www.aippt.cn - aippt_secret_key: - type: secret-input - required: true - label: - en_US: AIPPT Secret key - zh_Hans: AIPPT Secret key - pt_BR: AIPPT Secret key - help: - en_US: Please input your AIPPT Secret key - zh_Hans: 请输入你的 AIPPT Secret key - pt_BR: Please input your AIPPT Secret key - placeholder: - en_US: Please input your AIPPT Secret key - zh_Hans: 请输入你的 AIPPT Secret key - pt_BR: Please input your AIPPT Secret key diff --git a/api/core/tools/provider/builtin/aippt/tools/aippt.py b/api/core/tools/provider/builtin/aippt/tools/aippt.py deleted file mode 100644 index 0430a6654ccfac..00000000000000 --- a/api/core/tools/provider/builtin/aippt/tools/aippt.py +++ /dev/null @@ -1,524 +0,0 @@ -from base64 import b64encode -from hashlib import sha1 -from hmac import new as hmac_new -from json import loads as json_loads -from threading import Lock -from time import sleep, time -from typing import Any, Union - -from httpx import get, post -from requests import get as requests_get -from yarl import URL - -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption -from core.tools.tool.builtin_tool import BuiltinTool - - -class AIPPTGenerateToolAdapter: - """ - A tool for generating a ppt - """ - - _api_base_url = URL("https://co.aippt.cn/api") - _api_token_cache: dict[str, dict[str, Union[str, float]]] = {} - _style_cache: dict[str, dict[str, Union[list[dict[str, Any]], float]]] = {} - - _api_token_cache_lock: Lock = Lock() - _style_cache_lock: Lock = Lock() - - _task: dict[str, Any] = {} - _task_type_map = { - "auto": 1, - "markdown": 7, - } - _tool: BuiltinTool | None - - def __init__(self, tool: BuiltinTool | None = None): - self._tool = tool - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invokes the AIPPT generate tool with the given user ID and tool parameters. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation, - which can be a single message or a list of messages. - """ - title = tool_parameters.get("title", "") - if not title: - return self._tool.create_text_message("Please provide a title for the ppt") - - model = tool_parameters.get("model", "aippt") - if not model: - return self._tool.create_text_message("Please provide a model for the ppt") - - outline = tool_parameters.get("outline", "") - - # create task - task_id = self._create_task( - type=self._task_type_map["auto" if not outline else "markdown"], - title=title, - content=outline, - user_id=user_id, - ) - - # get suit - color: str = tool_parameters.get("color", "") - style: str = tool_parameters.get("style", "") - - if color == "__default__": - color_id = "" - else: - color_id = int(color.split("-")[1]) - - if style == "__default__": - style_id = "" - else: - style_id = int(style.split("-")[1]) - - suit_id = self._get_suit(style_id=style_id, colour_id=color_id) - - # generate outline - if not outline: - self._generate_outline(task_id=task_id, model=model, user_id=user_id) - - # generate content - self._generate_content(task_id=task_id, model=model, user_id=user_id) - - # generate ppt - _, ppt_url = self._generate_ppt(task_id=task_id, suit_id=suit_id, user_id=user_id) - - return self._tool.create_text_message( - """the ppt has been created successfully,""" - f"""the ppt url is {ppt_url} .""" - """please give the ppt url to user and direct user to download it.""" - ) - - def _create_task(self, type: int, title: str, content: str, user_id: str) -> str: - """ - Create a task - - :param type: the task type - :param title: the task title - :param content: the task content - - :return: the task ID - """ - headers = { - "x-channel": "", - "x-api-key": self._tool.runtime.credentials["aippt_access_key"], - "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id), - } - response = post( - str(self._api_base_url / "ai" / "chat" / "v2" / "task"), - headers=headers, - files={"type": ("", str(type)), "title": ("", title), "content": ("", content)}, - ) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - response = response.json() - if response.get("code") != 0: - raise Exception(f"Failed to create task: {response.get('msg')}") - - return response.get("data", {}).get("id") - - def _generate_outline(self, task_id: str, model: str, user_id: str) -> str: - api_url = ( - self._api_base_url / "ai" / "chat" / "outline" - if model == "aippt" - else self._api_base_url / "ai" / "chat" / "wx" / "outline" - ) - api_url %= {"task_id": task_id} - - headers = { - "x-channel": "", - "x-api-key": self._tool.runtime.credentials["aippt_access_key"], - "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id), - } - - response = requests_get(url=api_url, headers=headers, stream=True, timeout=(10, 60)) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - outline = "" - for chunk in response.iter_lines(delimiter=b"\n\n"): - if not chunk: - continue - - event = "" - lines = chunk.decode("utf-8").split("\n") - for line in lines: - if line.startswith("event:"): - event = line[6:] - elif line.startswith("data:"): - data = line[5:] - if event == "message": - try: - data = json_loads(data) - outline += data.get("content", "") - except Exception as e: - pass - elif event == "close": - break - elif event in {"error", "filter"}: - raise Exception(f"Failed to generate outline: {data}") - - return outline - - def _generate_content(self, task_id: str, model: str, user_id: str) -> str: - api_url = ( - self._api_base_url / "ai" / "chat" / "content" - if model == "aippt" - else self._api_base_url / "ai" / "chat" / "wx" / "content" - ) - api_url %= {"task_id": task_id} - - headers = { - "x-channel": "", - "x-api-key": self._tool.runtime.credentials["aippt_access_key"], - "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id), - } - - response = requests_get(url=api_url, headers=headers, stream=True, timeout=(10, 60)) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - if model == "aippt": - content = "" - for chunk in response.iter_lines(delimiter=b"\n\n"): - if not chunk: - continue - - event = "" - lines = chunk.decode("utf-8").split("\n") - for line in lines: - if line.startswith("event:"): - event = line[6:] - elif line.startswith("data:"): - data = line[5:] - if event == "message": - try: - data = json_loads(data) - content += data.get("content", "") - except Exception as e: - pass - elif event == "close": - break - elif event in {"error", "filter"}: - raise Exception(f"Failed to generate content: {data}") - - return content - elif model == "wenxin": - response = response.json() - if response.get("code") != 0: - raise Exception(f"Failed to generate content: {response.get('msg')}") - - return response.get("data", "") - - return "" - - def _generate_ppt(self, task_id: str, suit_id: int, user_id: str) -> tuple[str, str]: - """ - Generate a ppt - - :param task_id: the task ID - :param suit_id: the suit ID - :return: the cover url of the ppt and the ppt url - """ - headers = { - "x-channel": "", - "x-api-key": self._tool.runtime.credentials["aippt_access_key"], - "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id=user_id), - } - - response = post( - str(self._api_base_url / "design" / "v2" / "save"), - headers=headers, - data={"task_id": task_id, "template_id": suit_id}, - timeout=(10, 60), - ) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - response = response.json() - if response.get("code") != 0: - raise Exception(f"Failed to generate ppt: {response.get('msg')}") - - id = response.get("data", {}).get("id") - cover_url = response.get("data", {}).get("cover_url") - - response = post( - str(self._api_base_url / "download" / "export" / "file"), - headers=headers, - data={"id": id, "format": "ppt", "files_to_zip": False, "edit": True}, - ) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - response = response.json() - if response.get("code") != 0: - raise Exception(f"Failed to generate ppt: {response.get('msg')}") - - export_code = response.get("data") - if not export_code: - raise Exception("Failed to generate ppt, the export code is empty") - - current_iteration = 0 - while current_iteration < 50: - # get ppt url - response = post( - str(self._api_base_url / "download" / "export" / "file" / "result"), - headers=headers, - data={"task_key": export_code}, - ) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - response = response.json() - if response.get("code") != 0: - raise Exception(f"Failed to generate ppt: {response.get('msg')}") - - if response.get("msg") == "导出中": - current_iteration += 1 - sleep(2) - continue - - ppt_url = response.get("data", []) - if len(ppt_url) == 0: - raise Exception("Failed to generate ppt, the ppt url is empty") - - return cover_url, ppt_url[0] - - raise Exception("Failed to generate ppt, the export is timeout") - - @classmethod - def _get_api_token(cls, credentials: dict[str, str], user_id: str) -> str: - """ - Get API token - - :param credentials: the credentials - :return: the API token - """ - access_key = credentials["aippt_access_key"] - secret_key = credentials["aippt_secret_key"] - - cache_key = f"{access_key}#@#{user_id}" - - with cls._api_token_cache_lock: - # clear expired tokens - now = time() - for key in list(cls._api_token_cache.keys()): - if cls._api_token_cache[key]["expire"] < now: - del cls._api_token_cache[key] - - if cache_key in cls._api_token_cache: - return cls._api_token_cache[cache_key]["token"] - - # get token - headers = { - "x-api-key": access_key, - "x-timestamp": str(int(now)), - "x-signature": cls._calculate_sign(access_key, secret_key, int(now)), - } - - param = {"uid": user_id, "channel": ""} - - response = get(str(cls._api_base_url / "grant" / "token"), params=param, headers=headers) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - response = response.json() - if response.get("code") != 0: - raise Exception(f"Failed to connect to aippt: {response.get('msg')}") - - token = response.get("data", {}).get("token") - expire = response.get("data", {}).get("time_expire") - - with cls._api_token_cache_lock: - cls._api_token_cache[cache_key] = {"token": token, "expire": now + expire} - - return token - - @staticmethod - def _calculate_sign(access_key: str, secret_key: str, timestamp: int) -> str: - return b64encode( - hmac_new( - key=secret_key.encode("utf-8"), - msg=f"GET@/api/grant/token/@{timestamp}".encode(), - digestmod=sha1, - ).digest() - ).decode("utf-8") - - @classmethod - def _get_styles( - cls, credentials: dict[str, str], user_id: str - ) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """ - Get styles - """ - - # check cache - with cls._style_cache_lock: - # clear expired styles - now = time() - for key in list(cls._style_cache.keys()): - if cls._style_cache[key]["expire"] < now: - del cls._style_cache[key] - - key = f"{credentials['aippt_access_key']}#@#{user_id}" - if key in cls._style_cache: - return cls._style_cache[key]["colors"], cls._style_cache[key]["styles"] - - headers = { - "x-channel": "", - "x-api-key": credentials["aippt_access_key"], - "x-token": cls._get_api_token(credentials=credentials, user_id=user_id), - } - response = get(str(cls._api_base_url / "template_component" / "suit" / "select"), headers=headers) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - response = response.json() - - if response.get("code") != 0: - raise Exception(f"Failed to connect to aippt: {response.get('msg')}") - - colors = [ - { - "id": f"id-{item.get('id')}", - "name": item.get("name"), - "en_name": item.get("en_name", item.get("name")), - } - for item in response.get("data", {}).get("colour") or [] - ] - styles = [ - { - "id": f"id-{item.get('id')}", - "name": item.get("title"), - } - for item in response.get("data", {}).get("suit_style") or [] - ] - - with cls._style_cache_lock: - cls._style_cache[key] = {"colors": colors, "styles": styles, "expire": now + 60 * 60} - - return colors, styles - - def get_styles(self, user_id: str) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """ - Get styles - - :param credentials: the credentials - :return: Tuple[list[dict[id, color]], list[dict[id, style]] - """ - if not self._tool.runtime.credentials.get("aippt_access_key") or not self._tool.runtime.credentials.get( - "aippt_secret_key" - ): - raise Exception("Please provide aippt credentials") - - return self._get_styles(credentials=self._tool.runtime.credentials, user_id=user_id) - - def _get_suit(self, style_id: int, colour_id: int) -> int: - """ - Get suit - """ - headers = { - "x-channel": "", - "x-api-key": self._tool.runtime.credentials["aippt_access_key"], - "x-token": self._get_api_token(credentials=self._tool.runtime.credentials, user_id="__dify_system__"), - } - response = get( - str(self._api_base_url / "template_component" / "suit" / "search"), - headers=headers, - params={"style_id": style_id, "colour_id": colour_id, "page": 1, "page_size": 1}, - ) - - if response.status_code != 200: - raise Exception(f"Failed to connect to aippt: {response.text}") - - response = response.json() - - if response.get("code") != 0: - raise Exception(f"Failed to connect to aippt: {response.get('msg')}") - - if len(response.get("data", {}).get("list") or []) > 0: - return response.get("data", {}).get("list")[0].get("id") - - raise Exception("Failed to get suit, the suit does not exist, please check the style and color") - - def get_runtime_parameters(self) -> list[ToolParameter]: - """ - Get runtime parameters - - Override this method to add runtime parameters to the tool. - """ - try: - colors, styles = self.get_styles(user_id="__dify_system__") - except Exception as e: - colors, styles = ( - [{"id": "-1", "name": "__default__", "en_name": "__default__"}], - [{"id": "-1", "name": "__default__", "en_name": "__default__"}], - ) - - return [ - ToolParameter( - name="color", - label=I18nObject(zh_Hans="颜色", en_US="Color"), - human_description=I18nObject(zh_Hans="颜色", en_US="Color"), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - required=False, - default=colors[0]["id"], - options=[ - ToolParameterOption( - value=color["id"], label=I18nObject(zh_Hans=color["name"], en_US=color["en_name"]) - ) - for color in colors - ], - ), - ToolParameter( - name="style", - label=I18nObject(zh_Hans="风格", en_US="Style"), - human_description=I18nObject(zh_Hans="风格", en_US="Style"), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - required=False, - default=styles[0]["id"], - options=[ - ToolParameterOption(value=style["id"], label=I18nObject(zh_Hans=style["name"], en_US=style["name"])) - for style in styles - ], - ), - ] - - -class AIPPTGenerateTool(BuiltinTool): - def __init__(self, **kwargs: Any): - super().__init__(**kwargs) - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - return AIPPTGenerateToolAdapter(self)._invoke(user_id, tool_parameters) - - def get_runtime_parameters(self) -> list[ToolParameter]: - return AIPPTGenerateToolAdapter(self).get_runtime_parameters() - - @classmethod - def _get_api_token(cls, credentials: dict[str, str], user_id: str) -> str: - return AIPPTGenerateToolAdapter()._get_api_token(credentials, user_id) diff --git a/api/core/tools/provider/builtin/aippt/tools/aippt.yaml b/api/core/tools/provider/builtin/aippt/tools/aippt.yaml deleted file mode 100644 index d35798ad66106e..00000000000000 --- a/api/core/tools/provider/builtin/aippt/tools/aippt.yaml +++ /dev/null @@ -1,54 +0,0 @@ -identity: - name: aippt - author: Dify - label: - en_US: AIPPT - zh_Hans: AIPPT -description: - human: - en_US: AI-generated PPT with one click, input your content topic, and let AI serve you one-stop - zh_Hans: AI一键生成PPT，输入你的内容主题，让AI为你一站式服务到底 - llm: A tool used to generate PPT with AI, input your content topic, and let AI generate PPT for you. -parameters: - - name: title - type: string - required: true - label: - en_US: Title - zh_Hans: 标题 - human_description: - en_US: The title of the PPT. - zh_Hans: PPT的标题。 - llm_description: The title of the PPT, which will be used to generate the PPT outline. - form: llm - - name: outline - type: string - required: false - label: - en_US: Outline - zh_Hans: 大纲 - human_description: - en_US: The outline of the PPT - zh_Hans: PPT的大纲 - llm_description: The outline of the PPT, which will be used to generate the PPT content. provide it if you have. - form: llm - - name: llm - type: select - required: true - label: - en_US: LLM model - zh_Hans: 生成大纲的LLM - options: - - value: aippt - label: - en_US: AIPPT default model - zh_Hans: AIPPT默认模型 - - value: wenxin - label: - en_US: Wenxin ErnieBot - zh_Hans: 文心一言 - default: aippt - human_description: - en_US: The LLM model used for generating PPT outline. - zh_Hans: 用于生成PPT大纲的LLM模型。 - form: form diff --git a/api/core/tools/provider/builtin/aliyuque/_assets/icon.svg b/api/core/tools/provider/builtin/aliyuque/_assets/icon.svg deleted file mode 100644 index 82b23ebbc66e68..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/_assets/icon.svg +++ /dev/null @@ -1,32 +0,0 @@ - - 绿 lgo - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/aliyuque/aliyuque.py b/api/core/tools/provider/builtin/aliyuque/aliyuque.py deleted file mode 100644 index 56eac1a4b570cf..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/aliyuque.py +++ /dev/null @@ -1,19 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class AliYuqueProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - token = credentials.get("token") - if not token: - raise ToolProviderCredentialValidationError("token is required") - - try: - resp = AliYuqueTool.auth(token) - if resp and resp.get("data", {}).get("id"): - return - - raise ToolProviderCredentialValidationError(resp) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/aliyuque/aliyuque.yaml b/api/core/tools/provider/builtin/aliyuque/aliyuque.yaml deleted file mode 100644 index 73d39aa96cfd17..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/aliyuque.yaml +++ /dev/null @@ -1,29 +0,0 @@ -identity: - author: 佐井 - name: aliyuque - label: - en_US: yuque - zh_Hans: 语雀 - pt_BR: yuque - description: - en_US: Yuque, https://www.yuque.com. - zh_Hans: 语雀，https://www.yuque.com。 - pt_BR: Yuque, https://www.yuque.com. - icon: icon.svg - tags: - - productivity - - search -credentials_for_provider: - token: - type: secret-input - required: true - label: - en_US: Yuque Team Token - zh_Hans: 语雀团队Token - placeholder: - en_US: Please input your Yuque team token - zh_Hans: 请输入你的语雀团队Token - help: - en_US: Get Alibaba Yuque team token - zh_Hans: 先获取语雀团队Token - url: https://www.yuque.com/settings/tokens diff --git a/api/core/tools/provider/builtin/aliyuque/tools/base.py b/api/core/tools/provider/builtin/aliyuque/tools/base.py deleted file mode 100644 index edfb9fea8ec453..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/base.py +++ /dev/null @@ -1,42 +0,0 @@ -from typing import Any - -import requests - - -class AliYuqueTool: - # yuque service url - server_url = "https://www.yuque.com" - - @staticmethod - def auth(token): - session = requests.Session() - session.headers.update({"Accept": "application/json", "X-Auth-Token": token}) - login = session.request("GET", AliYuqueTool.server_url + "/api/v2/user") - login.raise_for_status() - resp = login.json() - return resp - - def request(self, method: str, token, tool_parameters: dict[str, Any], path: str) -> str: - if not token: - raise Exception("token is required") - session = requests.Session() - session.headers.update({"accept": "application/json", "X-Auth-Token": token}) - new_params = {**tool_parameters} - - replacements = {k: v for k, v in new_params.items() if f"{{{k}}}" in path} - - for key, value in replacements.items(): - path = path.replace(f"{{{key}}}", str(value)) - del new_params[key] - - if method.upper() in {"POST", "PUT"}: - session.headers.update( - { - "Content-Type": "application/json", - } - ) - response = session.request(method.upper(), self.server_url + path, json=new_params) - else: - response = session.request(method, self.server_url + path, params=new_params) - response.raise_for_status() - return response.text diff --git a/api/core/tools/provider/builtin/aliyuque/tools/create_document.py b/api/core/tools/provider/builtin/aliyuque/tools/create_document.py deleted file mode 100644 index 01080fd1d57f4d..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/create_document.py +++ /dev/null @@ -1,15 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class AliYuqueCreateDocumentTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - return self.create_text_message(self.request("POST", token, tool_parameters, "/api/v2/repos/{book_id}/docs")) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/create_document.yaml b/api/core/tools/provider/builtin/aliyuque/tools/create_document.yaml deleted file mode 100644 index 6ac8ae6696f330..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/create_document.yaml +++ /dev/null @@ -1,99 +0,0 @@ -identity: - name: aliyuque_create_document - author: 佐井 - label: - en_US: Create Document - zh_Hans: 创建文档 - icon: icon.svg -description: - human: - en_US: Creates a new document within a knowledge base without automatic addition to the table of contents. Requires a subsequent call to the "knowledge base directory update API". Supports setting visibility, format, and content. # 接口英文描述 - zh_Hans: 在知识库中创建新文档，但不会自动加入目录，需额外调用“知识库目录更新接口”。允许设置公开性、格式及正文内容。 - llm: Creates docs in a KB. - -parameters: - - name: book_id - type: string - required: true - form: llm - label: - en_US: Knowledge Base ID - zh_Hans: 知识库ID - human_description: - en_US: The unique identifier of the knowledge base where the document will be created. - zh_Hans: 文档将被创建的知识库的唯一标识。 - llm_description: ID of the target knowledge base. - - - name: title - type: string - required: false - form: llm - label: - en_US: Title - zh_Hans: 标题 - human_description: - en_US: The title of the document, defaults to 'Untitled' if not provided. - zh_Hans: 文档标题，默认为'无标题'如未提供。 - llm_description: Title of the document, defaults to 'Untitled'. - - - name: public - type: select - required: false - form: llm - options: - - value: 0 - label: - en_US: Private - zh_Hans: 私密 - - value: 1 - label: - en_US: Public - zh_Hans: 公开 - - value: 2 - label: - en_US: Enterprise-only - zh_Hans: 企业内公开 - label: - en_US: Visibility - zh_Hans: 公开性 - human_description: - en_US: Document visibility (0 Private, 1 Public, 2 Enterprise-only). - zh_Hans: 文档可见性（0 私密, 1 公开, 2 企业内公开）。 - llm_description: Doc visibility options, 0-private, 1-public, 2-enterprise. - - - name: format - type: select - required: false - form: llm - options: - - value: markdown - label: - en_US: markdown - zh_Hans: markdown - - value: html - label: - en_US: html - zh_Hans: html - - value: lake - label: - en_US: lake - zh_Hans: lake - label: - en_US: Content Format - zh_Hans: 内容格式 - human_description: - en_US: Format of the document content (markdown, HTML, Lake). - zh_Hans: 文档内容格式（markdown, HTML, Lake）。 - llm_description: Content format choices, markdown, HTML, Lake. - - - name: body - type: string - required: true - form: llm - label: - en_US: Body Content - zh_Hans: 正文内容 - human_description: - en_US: The actual content of the document. - zh_Hans: 文档的实际内容。 - llm_description: Content of the document. diff --git a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.py b/api/core/tools/provider/builtin/aliyuque/tools/delete_document.py deleted file mode 100644 index 84237cec30c563..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class AliYuqueDeleteDocumentTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - return self.create_text_message( - self.request("DELETE", token, tool_parameters, "/api/v2/repos/{book_id}/docs/{id}") - ) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.yaml b/api/core/tools/provider/builtin/aliyuque/tools/delete_document.yaml deleted file mode 100644 index dddd62d3048c35..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/delete_document.yaml +++ /dev/null @@ -1,37 +0,0 @@ -identity: - name: aliyuque_delete_document - author: 佐井 - label: - en_US: Delete Document - zh_Hans: 删除文档 - icon: icon.svg -description: - human: - en_US: Delete Document - zh_Hans: 根据id删除文档 - llm: Delete document. - -parameters: - - name: book_id - type: string - required: true - form: llm - label: - en_US: Knowledge Base ID - zh_Hans: 知识库ID - human_description: - en_US: The unique identifier of the knowledge base where the document will be created. - zh_Hans: 文档将被创建的知识库的唯一标识。 - llm_description: ID of the target knowledge base. - - - name: id - type: string - required: true - form: llm - label: - en_US: Document ID or Path - zh_Hans: 文档 ID or 路径 - human_description: - en_US: Document ID or path. - zh_Hans: 文档 ID or 路径。 - llm_description: Document ID or path. diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.py deleted file mode 100644 index c23d30059a8424..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class AliYuqueDescribeBookIndexPageTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - return self.create_text_message( - self.request("GET", token, tool_parameters, "/api/v2/repos/{group_login}/{book_slug}/index_page") - ) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.yaml deleted file mode 100644 index 5e490725d18882..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_index_page.yaml +++ /dev/null @@ -1,38 +0,0 @@ -identity: - name: aliyuque_describe_book_index_page - author: 佐井 - label: - en_US: Get Repo Index Page - zh_Hans: 获取知识库首页 - icon: icon.svg - -description: - human: - en_US: Retrieves the homepage of a knowledge base within a group, supporting both book ID and group login with book slug access. - zh_Hans: 获取团队中知识库的首页信息，可通过书籍ID或团队登录名与书籍路径访问。 - llm: Fetches the knowledge base homepage using group and book identifiers with support for alternate access paths. - -parameters: - - name: group_login - type: string - required: true - form: llm - label: - en_US: Group Login - zh_Hans: 团队登录名 - human_description: - en_US: The login name of the group that owns the knowledge base. - zh_Hans: 拥有该知识库的团队登录名。 - llm_description: Team login identifier for the knowledge base owner. - - - name: book_slug - type: string - required: true - form: llm - label: - en_US: Book Slug - zh_Hans: 知识库路径 - human_description: - en_US: The unique slug representing the path of the knowledge base. - zh_Hans: 知识库的唯一路径标识。 - llm_description: Unique path identifier for the knowledge base. diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.py deleted file mode 100644 index 36f8c10d6fd79d..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.py +++ /dev/null @@ -1,15 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class YuqueDescribeBookTableOfContentsTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> (Union)[ToolInvokeMessage, list[ToolInvokeMessage]]: - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - return self.create_text_message(self.request("GET", token, tool_parameters, "/api/v2/repos/{book_id}/toc")) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.yaml deleted file mode 100644 index 0a481b59ebedad..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_book_table_of_contents.yaml +++ /dev/null @@ -1,25 +0,0 @@ -identity: - name: aliyuque_describe_book_table_of_contents - author: 佐井 - label: - en_US: Get Book's Table of Contents - zh_Hans: 获取知识库的目录 - icon: icon.svg -description: - human: - en_US: Get Book's Table of Contents. - zh_Hans: 获取知识库的目录。 - llm: Get Book's Table of Contents. - -parameters: - - name: book_id - type: string - required: true - form: llm - label: - en_US: Book ID - zh_Hans: 知识库 ID - human_description: - en_US: Book ID. - zh_Hans: 知识库 ID。 - llm_description: Book ID. diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.py deleted file mode 100644 index a69bf121f7e5ae..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.py +++ /dev/null @@ -1,53 +0,0 @@ -import json -from typing import Any, Union -from urllib.parse import urlparse - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class AliYuqueDescribeDocumentContentTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - new_params = {**tool_parameters} - token = new_params.pop("token") - if not token or token.lower() == "none": - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - new_params = {**tool_parameters} - url = new_params.pop("url") - if not url or not url.startswith("http"): - raise Exception("url is not valid") - - parsed_url = urlparse(url) - path_parts = parsed_url.path.strip("/").split("/") - if len(path_parts) < 3: - raise Exception("url is not correct") - doc_id = path_parts[-1] - book_slug = path_parts[-2] - group_id = path_parts[-3] - - new_params["group_login"] = group_id - new_params["book_slug"] = book_slug - index_page = json.loads( - self.request("GET", token, new_params, "/api/v2/repos/{group_login}/{book_slug}/index_page") - ) - book_id = index_page.get("data", {}).get("book", {}).get("id") - if not book_id: - raise Exception(f"can not parse book_id from {index_page}") - - new_params["book_id"] = book_id - new_params["id"] = doc_id - data = self.request("GET", token, new_params, "/api/v2/repos/{book_id}/docs/{id}") - data = json.loads(data) - body_only = tool_parameters.get("body_only") or "" - if body_only.lower() == "true": - return self.create_text_message(data.get("data").get("body")) - else: - raw = data.get("data") - del raw["body_lake"] - del raw["body_html"] - return self.create_text_message(json.dumps(data)) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.yaml deleted file mode 100644 index 6116886a96b790..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_document_content.yaml +++ /dev/null @@ -1,50 +0,0 @@ -identity: - name: aliyuque_describe_document_content - author: 佐井 - label: - en_US: Fetch Document Content - zh_Hans: 获取文档内容 - icon: icon.svg - -description: - human: - en_US: Retrieves document content from Yuque based on the provided document URL, which can be a normal or shared link. - zh_Hans: 根据提供的语雀文档地址（支持正常链接或分享链接）获取文档内容。 - llm: Fetches Yuque document content given a URL. - -parameters: - - name: url - type: string - required: true - form: llm - label: - en_US: Document URL - zh_Hans: 文档地址 - human_description: - en_US: The URL of the document to retrieve content from, can be normal or shared. - zh_Hans: 需要获取内容的文档地址，可以是正常链接或分享链接。 - llm_description: URL of the Yuque document to fetch content. - - - name: body_only - type: string - required: false - form: llm - label: - en_US: return body content only - zh_Hans: 仅返回body内容 - human_description: - en_US: true:Body content only, false:Full response with metadata. - zh_Hans: true:仅返回body内容，不返回其他元数据，false:返回所有元数据。 - llm_description: true:Body content only, false:Full response with metadata. - - - name: token - type: secret-input - required: false - form: llm - label: - en_US: Yuque API Token - zh_Hans: 语雀接口Token - human_description: - en_US: The token for calling the Yuque API defaults to the Yuque token bound to the current tool if not provided. - zh_Hans: 调用语雀接口的token，如果不传则默认为当前工具绑定的语雀Token。 - llm_description: If the token for calling the Yuque API is not provided, it will default to the Yuque token bound to the current tool. diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.py b/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.py deleted file mode 100644 index 7a45684bed0498..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class AliYuqueDescribeDocumentsTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - return self.create_text_message( - self.request("GET", token, tool_parameters, "/api/v2/repos/{book_id}/docs/{id}") - ) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.yaml b/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.yaml deleted file mode 100644 index 0b14c1afba684d..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/describe_documents.yaml +++ /dev/null @@ -1,38 +0,0 @@ -identity: - name: aliyuque_describe_documents - author: 佐井 - label: - en_US: Get Doc Detail - zh_Hans: 获取文档详情 - icon: icon.svg - -description: - human: - en_US: Retrieves detailed information of a specific document identified by its ID or path within a knowledge base. - zh_Hans: 根据知识库ID和文档ID或路径获取文档详细信息。 - llm: Fetches detailed doc info using ID/path from a knowledge base; supports doc lookup in Yuque. - -parameters: - - name: book_id - type: string - required: true - form: llm - label: - en_US: Knowledge Base ID - zh_Hans: 知识库 ID - human_description: - en_US: Identifier for the knowledge base where the document resides. - zh_Hans: 文档所属知识库的唯一标识。 - llm_description: ID of the knowledge base holding the document. - - - name: id - type: string - required: true - form: llm - label: - en_US: Document ID or Path - zh_Hans: 文档 ID 或路径 - human_description: - en_US: The unique identifier or path of the document to retrieve. - zh_Hans: 需要获取的文档的ID或其在知识库中的路径。 - llm_description: Unique doc ID or its path for retrieval. diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.py b/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.py deleted file mode 100644 index ca0a3909f80709..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class YuqueDescribeBookTableOfContentsTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> (Union)[ToolInvokeMessage, list[ToolInvokeMessage]]: - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - - doc_ids = tool_parameters.get("doc_ids") - if doc_ids: - doc_ids = [int(doc_id.strip()) for doc_id in doc_ids.split(",")] - tool_parameters["doc_ids"] = doc_ids - - return self.create_text_message(self.request("PUT", token, tool_parameters, "/api/v2/repos/{book_id}/toc")) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.yaml b/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.yaml deleted file mode 100644 index f85970348b1f13..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/update_book_table_of_contents.yaml +++ /dev/null @@ -1,222 +0,0 @@ -identity: - name: aliyuque_update_book_table_of_contents - author: 佐井 - label: - en_US: Update Book's Table of Contents - zh_Hans: 更新知识库目录 - icon: icon.svg -description: - human: - en_US: Update Book's Table of Contents. - zh_Hans: 更新知识库目录。 - llm: Update Book's Table of Contents. - -parameters: - - name: book_id - type: string - required: true - form: llm - label: - en_US: Book ID - zh_Hans: 知识库 ID - human_description: - en_US: Book ID. - zh_Hans: 知识库 ID。 - llm_description: Book ID. - - - name: action - type: select - required: true - form: llm - options: - - value: appendNode - label: - en_US: appendNode - zh_Hans: appendNode - pt_BR: appendNode - - value: prependNode - label: - en_US: prependNode - zh_Hans: prependNode - pt_BR: prependNode - - value: editNode - label: - en_US: editNode - zh_Hans: editNode - pt_BR: editNode - - value: editNode - label: - en_US: removeNode - zh_Hans: removeNode - pt_BR: removeNode - label: - en_US: Action Type - zh_Hans: 操作 - human_description: - en_US: In the operation scenario, sibling node prepending is not supported, deleting a node doesn't remove associated documents, and node deletion has two modes, 'sibling' (delete current node) and 'child' (delete current node and its children). - zh_Hans: 操作，创建场景下不支持同级头插 prependNode，删除节点不会删除关联文档，删除节点时action_mode=sibling (删除当前节点), action_mode=child (删除当前节点及子节点) - llm_description: In the operation scenario, sibling node prepending is not supported, deleting a node doesn't remove associated documents, and node deletion has two modes, 'sibling' (delete current node) and 'child' (delete current node and its children). - - - - name: action_mode - type: select - required: false - form: llm - options: - - value: sibling - label: - en_US: sibling - zh_Hans: 同级 - pt_BR: sibling - - value: child - label: - en_US: child - zh_Hans: 子集 - pt_BR: child - label: - en_US: Action Type - zh_Hans: 操作 - human_description: - en_US: Operation mode (sibling:same level, child:child level). - zh_Hans: 操作模式 (sibling:同级, child:子级)。 - llm_description: Operation mode (sibling:same level, child:child level). - - - name: target_uuid - type: string - required: false - form: llm - label: - en_US: Target node UUID - zh_Hans: 目标节点 UUID - human_description: - en_US: Target node UUID, defaults to root node if left empty. - zh_Hans: 目标节点 UUID, 不填默认为根节点。 - llm_description: Target node UUID, defaults to root node if left empty. - - - name: node_uuid - type: string - required: false - form: llm - label: - en_US: Node UUID - zh_Hans: 操作节点 UUID - human_description: - en_US: Operation node UUID [required for move/update/delete]. - zh_Hans: 操作节点 UUID [移动/更新/删除必填]。 - llm_description: Operation node UUID [required for move/update/delete]. - - - name: doc_ids - type: string - required: false - form: llm - label: - en_US: Document IDs - zh_Hans: 文档id列表 - human_description: - en_US: Document IDs [required for creating documents], separate multiple IDs with ','. - zh_Hans: 文档 IDs [创建文档必填]，多个用','分隔。 - llm_description: Document IDs [required for creating documents], separate multiple IDs with ','. - - - - name: type - type: select - required: false - form: llm - default: DOC - options: - - value: DOC - label: - en_US: DOC - zh_Hans: 文档 - pt_BR: DOC - - value: LINK - label: - en_US: LINK - zh_Hans: 链接 - pt_BR: LINK - - value: TITLE - label: - en_US: TITLE - zh_Hans: 分组 - pt_BR: TITLE - label: - en_US: Node type - zh_Hans: 操节点类型 - human_description: - en_US: Node type [required for creation] (DOC:document, LINK:external link, TITLE:group). - zh_Hans: 操节点类型 [创建必填] (DOC:文档, LINK:外链, TITLE:分组)。 - llm_description: Node type [required for creation] (DOC:document, LINK:external link, TITLE:group). - - - name: title - type: string - required: false - form: llm - label: - en_US: Node Name - zh_Hans: 节点名称 - human_description: - en_US: Node name [required for creating groups/external links]. - zh_Hans: 节点名称 [创建分组/外链必填]。 - llm_description: Node name [required for creating groups/external links]. - - - name: url - type: string - required: false - form: llm - label: - en_US: Node URL - zh_Hans: 节点URL - human_description: - en_US: Node URL [required for creating external links]. - zh_Hans: 节点 URL [创建外链必填]。 - llm_description: Node URL [required for creating external links]. - - - - name: open_window - type: select - required: false - form: llm - default: 0 - options: - - value: 0 - label: - en_US: DOC - zh_Hans: Current Page - pt_BR: DOC - - value: 1 - label: - en_US: LINK - zh_Hans: New Page - pt_BR: LINK - label: - en_US: Open in new window - zh_Hans: 是否新窗口打开 - human_description: - en_US: Open in new window [optional for external links] (0:open in current page, 1:open in new window). - zh_Hans: 是否新窗口打开 [外链选填] (0:当前页打开, 1:新窗口打开)。 - llm_description: Open in new window [optional for external links] (0:open in current page, 1:open in new window). - - - - name: visible - type: select - required: false - form: llm - default: 1 - options: - - value: 0 - label: - en_US: Invisible - zh_Hans: 隐藏 - pt_BR: Invisible - - value: 1 - label: - en_US: Visible - zh_Hans: 可见 - pt_BR: Visible - label: - en_US: Visibility - zh_Hans: 是否可见 - human_description: - en_US: Visibility (0:invisible, 1:visible). - zh_Hans: 是否可见 (0:不可见, 1:可见)。 - llm_description: Visibility (0:invisible, 1:visible). diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_document.py b/api/core/tools/provider/builtin/aliyuque/tools/update_document.py deleted file mode 100644 index d7eba46ad968dd..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/update_document.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.aliyuque.tools.base import AliYuqueTool -from core.tools.tool.builtin_tool import BuiltinTool - - -class AliYuqueUpdateDocumentTool(AliYuqueTool, BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - token = self.runtime.credentials.get("token", None) - if not token: - raise Exception("token is required") - return self.create_text_message( - self.request("PUT", token, tool_parameters, "/api/v2/repos/{book_id}/docs/{id}") - ) diff --git a/api/core/tools/provider/builtin/aliyuque/tools/update_document.yaml b/api/core/tools/provider/builtin/aliyuque/tools/update_document.yaml deleted file mode 100644 index c2da6b179acdd9..00000000000000 --- a/api/core/tools/provider/builtin/aliyuque/tools/update_document.yaml +++ /dev/null @@ -1,87 +0,0 @@ -identity: - name: aliyuque_update_document - author: 佐井 - label: - en_US: Update Document - zh_Hans: 更新文档 - icon: icon.svg -description: - human: - en_US: Update an existing document within a specified knowledge base by providing the document ID or path. - zh_Hans: 通过提供文档ID或路径，更新指定知识库中的现有文档。 - llm: Update doc in a knowledge base via ID/path. -parameters: - - name: book_id - type: string - required: true - form: llm - label: - en_US: Knowledge Base ID - zh_Hans: 知识库 ID - human_description: - en_US: The unique identifier of the knowledge base where the document resides. - zh_Hans: 文档所属知识库的ID。 - llm_description: ID of the knowledge base holding the doc. - - name: id - type: string - required: true - form: llm - label: - en_US: Document ID or Path - zh_Hans: 文档 ID 或 路径 - human_description: - en_US: The unique identifier or the path of the document to be updated. - zh_Hans: 要更新的文档的唯一ID或路径。 - llm_description: Doc's ID or path for update. - - - name: title - type: string - required: false - form: llm - label: - en_US: Title - zh_Hans: 标题 - human_description: - en_US: The title of the document, defaults to 'Untitled' if not provided. - zh_Hans: 文档标题，默认为'无标题'如未提供。 - llm_description: Title of the document, defaults to 'Untitled'. - - - name: format - type: select - required: false - form: llm - options: - - value: markdown - label: - en_US: markdown - zh_Hans: markdown - pt_BR: markdown - - value: html - label: - en_US: html - zh_Hans: html - pt_BR: html - - value: lake - label: - en_US: lake - zh_Hans: lake - pt_BR: lake - label: - en_US: Content Format - zh_Hans: 内容格式 - human_description: - en_US: Format of the document content (markdown, HTML, Lake). - zh_Hans: 文档内容格式（markdown, HTML, Lake）。 - llm_description: Content format choices, markdown, HTML, Lake. - - - name: body - type: string - required: true - form: llm - label: - en_US: Body Content - zh_Hans: 正文内容 - human_description: - en_US: The actual content of the document. - zh_Hans: 文档的实际内容。 - llm_description: Content of the document. diff --git a/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg b/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg deleted file mode 100644 index 785432943bc148..00000000000000 --- a/api/core/tools/provider/builtin/alphavantage/_assets/icon.svg +++ /dev/null @@ -1,7 +0,0 @@ - - - 形状结合 - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/alphavantage/alphavantage.py b/api/core/tools/provider/builtin/alphavantage/alphavantage.py deleted file mode 100644 index a84630e5aa990a..00000000000000 --- a/api/core/tools/provider/builtin/alphavantage/alphavantage.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.alphavantage.tools.query_stock import QueryStockTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class AlphaVantageProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - QueryStockTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "code": "AAPL", # Apple Inc. - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml b/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml deleted file mode 100644 index 710510cfd8ed4a..00000000000000 --- a/api/core/tools/provider/builtin/alphavantage/alphavantage.yaml +++ /dev/null @@ -1,31 +0,0 @@ -identity: - author: zhuhao - name: alphavantage - label: - en_US: AlphaVantage - zh_Hans: AlphaVantage - pt_BR: AlphaVantage - description: - en_US: AlphaVantage is an online platform that provides financial market data and APIs, making it convenient for individual investors and developers to access stock quotes, technical indicators, and stock analysis. - zh_Hans: AlphaVantage是一个在线平台，它提供金融市场数据和API，便于个人投资者和开发者获取股票报价、技术指标和股票分析。 - pt_BR: AlphaVantage is an online platform that provides financial market data and APIs, making it convenient for individual investors and developers to access stock quotes, technical indicators, and stock analysis. - icon: icon.svg - tags: - - finance -credentials_for_provider: - api_key: - type: secret-input - required: true - label: - en_US: AlphaVantage API key - zh_Hans: AlphaVantage API key - pt_BR: AlphaVantage API key - placeholder: - en_US: Please input your AlphaVantage API key - zh_Hans: 请输入你的 AlphaVantage API key - pt_BR: Please input your AlphaVantage API key - help: - en_US: Get your AlphaVantage API key from AlphaVantage - zh_Hans: 从 AlphaVantage 获取您的 AlphaVantage API key - pt_BR: Get your AlphaVantage API key from AlphaVantage - url: https://www.alphavantage.co/support/#api-key diff --git a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py deleted file mode 100644 index d06611acd05d1d..00000000000000 --- a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.py +++ /dev/null @@ -1,48 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -ALPHAVANTAGE_API_URL = "https://www.alphavantage.co/query" - - -class QueryStockTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - stock_code = tool_parameters.get("code", "") - if not stock_code: - return self.create_text_message("Please tell me your stock code") - - if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"): - return self.create_text_message("Alpha Vantage API key is required.") - - params = { - "function": "TIME_SERIES_DAILY", - "symbol": stock_code, - "outputsize": "compact", - "datatype": "json", - "apikey": self.runtime.credentials["api_key"], - } - response = requests.get(url=ALPHAVANTAGE_API_URL, params=params) - response.raise_for_status() - result = self._handle_response(response.json()) - return self.create_json_message(result) - - def _handle_response(self, response: dict[str, Any]) -> dict[str, Any]: - result = response.get("Time Series (Daily)", {}) - if not result: - return {} - stock_result = {} - for k, v in result.items(): - stock_result[k] = {} - stock_result[k]["open"] = v.get("1. open") - stock_result[k]["high"] = v.get("2. high") - stock_result[k]["low"] = v.get("3. low") - stock_result[k]["close"] = v.get("4. close") - stock_result[k]["volume"] = v.get("5. volume") - return stock_result diff --git a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml b/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml deleted file mode 100644 index d89f34e373f9fa..00000000000000 --- a/api/core/tools/provider/builtin/alphavantage/tools/query_stock.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: query_stock - author: zhuhao - label: - en_US: query_stock - zh_Hans: query_stock - pt_BR: query_stock -description: - human: - en_US: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol. - zh_Hans: 获取指定股票代码的每日开盘价、每日最高价、每日最低价、每日收盘价和每日交易量等信息。 - pt_BR: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol - llm: Retrieve information such as daily opening price, daily highest price, daily lowest price, daily closing price, and daily trading volume for a specified stock symbol -parameters: - - name: code - type: string - required: true - label: - en_US: stock code - zh_Hans: 股票代码 - pt_BR: stock code - human_description: - en_US: stock code - zh_Hans: 股票代码 - pt_BR: stock code - llm_description: stock code for query from alphavantage - form: llm diff --git a/api/core/tools/provider/builtin/arxiv/_assets/icon.svg b/api/core/tools/provider/builtin/arxiv/_assets/icon.svg deleted file mode 100644 index 0e60f635739993..00000000000000 --- a/api/core/tools/provider/builtin/arxiv/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/arxiv/arxiv.py b/api/core/tools/provider/builtin/arxiv/arxiv.py deleted file mode 100644 index ebb2d1a8c47be9..00000000000000 --- a/api/core/tools/provider/builtin/arxiv/arxiv.py +++ /dev/null @@ -1,20 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.arxiv.tools.arxiv_search import ArxivSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class ArxivProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - ArxivSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "query": "John Doe", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/arxiv/arxiv.yaml b/api/core/tools/provider/builtin/arxiv/arxiv.yaml deleted file mode 100644 index 25aec97bb795e3..00000000000000 --- a/api/core/tools/provider/builtin/arxiv/arxiv.yaml +++ /dev/null @@ -1,14 +0,0 @@ -identity: - author: Yash Parmar - name: arxiv - label: - en_US: ArXiv - zh_Hans: ArXiv - ja_JP: ArXiv - description: - en_US: Access to a vast repository of scientific papers and articles in various fields of research. - zh_Hans: 访问各个研究领域大量科学论文和文章的存储库。 - ja_JP: 多様な研究分野の科学論文や記事の膨大なリポジトリへのアクセス。 - icon: icon.svg - tags: - - search diff --git a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py b/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py deleted file mode 100644 index 8bd16050ecf0a6..00000000000000 --- a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py +++ /dev/null @@ -1,119 +0,0 @@ -import logging -from typing import Any, Optional - -import arxiv # type: ignore -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -logger = logging.getLogger(__name__) - - -class ArxivAPIWrapper(BaseModel): - """Wrapper around ArxivAPI. - - To use, you should have the ``arxiv`` python package installed. - https://lukasschwab.me/arxiv.py/index.html - This wrapper will use the Arxiv API to conduct searches and - fetch document summaries. By default, it will return the document summaries - of the top-k results. - It limits the Document content by doc_content_chars_max. - Set doc_content_chars_max=None if you don't want to limit the content size. - - Args: - top_k_results: number of the top-scored document used for the arxiv tool - ARXIV_MAX_QUERY_LENGTH: the cut limit on the query used for the arxiv tool. - load_max_docs: a limit to the number of loaded documents - load_all_available_meta: - if True: the `metadata` of the loaded Documents contains all available - meta info (see https://lukasschwab.me/arxiv.py/index.html#Result), - if False: the `metadata` contains only the published date, title, - authors and summary. - doc_content_chars_max: an optional cut limit for the length of a document's - content - - Example: - .. code-block:: python - - arxiv = ArxivAPIWrapper( - top_k_results = 3, - ARXIV_MAX_QUERY_LENGTH = 300, - load_max_docs = 3, - load_all_available_meta = False, - doc_content_chars_max = 40000 - ) - arxiv.run("tree of thought llm) - """ - - arxiv_search: type[arxiv.Search] = arxiv.Search #: :meta private: - arxiv_http_error: tuple[type[Exception]] = (arxiv.ArxivError, arxiv.UnexpectedEmptyPageError, arxiv.HTTPError) - top_k_results: int = 3 - ARXIV_MAX_QUERY_LENGTH: int = 300 - load_max_docs: int = 100 - load_all_available_meta: bool = False - doc_content_chars_max: Optional[int] = 4000 - - def run(self, query: str) -> str: - """ - Performs an arxiv search and A single string - with the publish date, title, authors, and summary - for each article separated by two newlines. - - If an error occurs or no documents found, error text - is returned instead. Wrapper for - https://lukasschwab.me/arxiv.py/index.html#Search - - Args: - query: a plaintext search query - """ - try: - results = self.arxiv_search( # type: ignore - query[: self.ARXIV_MAX_QUERY_LENGTH], max_results=self.top_k_results - ).results() - except arxiv_http_error as ex: - return f"Arxiv exception: {ex}" - docs = [ - f"Published: {result.updated.date()}\n" - f"Title: {result.title}\n" - f"Authors: {', '.join(a.name for a in result.authors)}\n" - f"Summary: {result.summary}" - for result in results - ] - if docs: - return "\n\n".join(docs)[: self.doc_content_chars_max] - else: - return "No good Arxiv Result was found" - - -class ArxivSearchInput(BaseModel): - query: str = Field(..., description="Search query.") - - -class ArxivSearchTool(BuiltinTool): - """ - A tool for searching articles on Arxiv. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invokes the Arxiv search tool with the given user ID and tool parameters. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool, including the 'query' parameter. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation, - which can be a single message or a list of messages. - """ - query = tool_parameters.get("query", "") - - if not query: - return self.create_text_message("Please input query") - - arxiv = ArxivAPIWrapper() - - response = arxiv.run(query) - - return self.create_text_message(self.summary(user_id=user_id, content=response)) diff --git a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.yaml b/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.yaml deleted file mode 100644 index afc1925df3b45a..00000000000000 --- a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: arxiv_search - author: Yash Parmar - label: - en_US: Arxiv Search - zh_Hans: Arxiv 搜索 - ja_JP: Arxiv 検索 -description: - human: - en_US: A tool for searching scientific papers and articles from the Arxiv repository. Input can be an Arxiv ID or an author's name. - zh_Hans: 一个用于从Arxiv存储库搜索科学论文和文章的工具。 输入可以是Arxiv ID或作者姓名。 - ja_JP: Arxivリポジトリから科学論文や記事を検索するためのツールです。入力はArxiv IDまたは著者名にすることができます。 - llm: A tool for searching scientific papers and articles from the Arxiv repository. Input can be an Arxiv ID or an author's name. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询字符串 - ja_JP: クエリ文字列 - human_description: - en_US: The Arxiv ID or author's name used for searching. - zh_Hans: 用于搜索的Arxiv ID或作者姓名。 - ja_JP: 検索に使用されるArxiv IDまたは著者名。 - llm_description: The Arxiv ID or author's name used for searching. - form: llm diff --git a/api/core/tools/provider/builtin/audio/audio.py b/api/core/tools/provider/builtin/audio/audio.py deleted file mode 100644 index 1f15386f78a058..00000000000000 --- a/api/core/tools/provider/builtin/audio/audio.py +++ /dev/null @@ -1,6 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class AudioToolProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - pass diff --git a/api/core/tools/provider/builtin/aws/_assets/icon.svg b/api/core/tools/provider/builtin/aws/_assets/icon.svg deleted file mode 100644 index ecfcfc08d4eeff..00000000000000 --- a/api/core/tools/provider/builtin/aws/_assets/icon.svg +++ /dev/null @@ -1,9 +0,0 @@ - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/aws/aws.py b/api/core/tools/provider/builtin/aws/aws.py deleted file mode 100644 index f81b5dbd27d17c..00000000000000 --- a/api/core/tools/provider/builtin/aws/aws.py +++ /dev/null @@ -1,24 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.aws.tools.sagemaker_text_rerank import SageMakerReRankTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SageMakerProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - SageMakerReRankTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "sagemaker_endpoint": "", - "query": "misaka mikoto", - "candidate_texts": "hello$$$hello world", - "topk": 5, - "aws_region": "", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/aws/aws.yaml b/api/core/tools/provider/builtin/aws/aws.yaml deleted file mode 100644 index 847c6824a53df6..00000000000000 --- a/api/core/tools/provider/builtin/aws/aws.yaml +++ /dev/null @@ -1,15 +0,0 @@ -identity: - author: AWS - name: aws - label: - en_US: AWS - zh_Hans: 亚马逊云科技 - pt_BR: AWS - description: - en_US: Services on AWS. - zh_Hans: 亚马逊云科技的各类服务 - pt_BR: Services on AWS. - icon: icon.svg - tags: - - search -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.py b/api/core/tools/provider/builtin/aws/tools/apply_guardrail.py deleted file mode 100644 index b224ff5258c879..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.py +++ /dev/null @@ -1,90 +0,0 @@ -import json -import logging -from typing import Any, Union - -import boto3 # type: ignore -from botocore.exceptions import BotoCoreError # type: ignore -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -class GuardrailParameters(BaseModel): - guardrail_id: str = Field(..., description="The identifier of the guardrail") - guardrail_version: str = Field(..., description="The version of the guardrail") - source: str = Field(..., description="The source of the content") - text: str = Field(..., description="The text to apply the guardrail to") - aws_region: str = Field(..., description="AWS region for the Bedrock client") - - -class ApplyGuardrailTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the ApplyGuardrail tool - """ - try: - # Validate and parse input parameters - params = GuardrailParameters(**tool_parameters) - - # Initialize AWS client - bedrock_client = boto3.client("bedrock-runtime", region_name=params.aws_region) - - # Apply guardrail - response = bedrock_client.apply_guardrail( - guardrailIdentifier=params.guardrail_id, - guardrailVersion=params.guardrail_version, - source=params.source, - content=[{"text": {"text": params.text}}], - ) - - logger.info(f"Raw response from AWS: {json.dumps(response, indent=2)}") - - # Check for empty response - if not response: - return self.create_text_message(text="Received empty response from AWS Bedrock.") - - # Process the result - action = response.get("action", "No action specified") - outputs = response.get("outputs", []) - output = outputs[0].get("text", "No output received") if outputs else "No output received" - assessments = response.get("assessments", []) - - # Format assessments - formatted_assessments = [] - for assessment in assessments: - for policy_type, policy_data in assessment.items(): - if isinstance(policy_data, dict) and "topics" in policy_data: - for topic in policy_data["topics"]: - formatted_assessments.append( - f"Policy: {policy_type}, Topic: {topic['name']}, Type: {topic['type']}," - f" Action: {topic['action']}" - ) - else: - formatted_assessments.append(f"Policy: {policy_type}, Data: {policy_data}") - - result = f"Action: {action}\n " - result += f"Output: {output}\n " - if formatted_assessments: - result += "Assessments:\n " + "\n ".join(formatted_assessments) + "\n " - # result += f"Full response: {json.dumps(response, indent=2, ensure_ascii=False)}" - - return self.create_text_message(text=result) - - except BotoCoreError as e: - error_message = f"AWS service error: {str(e)}" - logger.error(error_message, exc_info=True) - return self.create_text_message(text=error_message) - except json.JSONDecodeError as e: - error_message = f"JSON parsing error: {str(e)}" - logger.error(error_message, exc_info=True) - return self.create_text_message(text=error_message) - except Exception as e: - error_message = f"An unexpected error occurred: {str(e)}" - logger.error(error_message, exc_info=True) - return self.create_text_message(text=error_message) diff --git a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.yaml b/api/core/tools/provider/builtin/aws/tools/apply_guardrail.yaml deleted file mode 100644 index 66044e4ea84fe1..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/apply_guardrail.yaml +++ /dev/null @@ -1,67 +0,0 @@ -identity: - name: apply_guardrail - author: AWS - label: - en_US: Content Moderation Guardrails - zh_Hans: 内容审查护栏 -description: - human: - en_US: Content Moderation Guardrails utilizes the ApplyGuardrail API, a feature of Guardrails for Amazon Bedrock. This API is capable of evaluating input prompts and model responses for all Foundation Models (FMs), including those on Amazon Bedrock, custom FMs, and third-party FMs. By implementing this functionality, organizations can achieve centralized governance across all their generative AI applications, thereby enhancing control and consistency in content moderation. - zh_Hans: 内容审查护栏采用 Guardrails for Amazon Bedrock 功能中的 ApplyGuardrail API 。ApplyGuardrail 可以评估所有基础模型(FMs)的输入提示和模型响应，包括 Amazon Bedrock 上的 FMs、自定义 FMs 和第三方 FMs。通过实施这一功能, 组织可以在所有生成式 AI 应用程序中实现集中化的治理，从而增强内容审核的控制力和一致性。 - llm: Content Moderation Guardrails utilizes the ApplyGuardrail API, a feature of Guardrails for Amazon Bedrock. This API is capable of evaluating input prompts and model responses for all Foundation Models (FMs), including those on Amazon Bedrock, custom FMs, and third-party FMs. By implementing this functionality, organizations can achieve centralized governance across all their generative AI applications, thereby enhancing control and consistency in content moderation. -parameters: - - name: guardrail_id - type: string - required: true - label: - en_US: Guardrail ID - zh_Hans: Guardrail ID - human_description: - en_US: Please enter the ID of the Guardrail that has already been created on Amazon Bedrock, for example 'qk5nk0e4b77b'. - zh_Hans: 请输入已经在 Amazon Bedrock 上创建好的 Guardrail ID, 例如 'qk5nk0e4b77b'. - llm_description: Please enter the ID of the Guardrail that has already been created on Amazon Bedrock, for example 'qk5nk0e4b77b'. - form: form - - name: guardrail_version - type: string - required: true - label: - en_US: Guardrail Version Number - zh_Hans: Guardrail 版本号码 - human_description: - en_US: Please enter the published version of the Guardrail ID that has already been created on Amazon Bedrock. This is typically a version number, such as 2. - zh_Hans: 请输入已经在Amazon Bedrock 上创建好的Guardrail ID发布的版本, 通常使用版本号, 例如2. - llm_description: Please enter the published version of the Guardrail ID that has already been created on Amazon Bedrock. This is typically a version number, such as 2. - form: form - - name: source - type: string - required: true - label: - en_US: Content Source (INPUT or OUTPUT) - zh_Hans: 内容来源 (INPUT or OUTPUT) - human_description: - en_US: The source of data used in the request to apply the guardrail. Valid Values "INPUT | OUTPUT" - zh_Hans: 用于应用护栏的请求中所使用的数据来源。有效值为 "INPUT | OUTPUT" - llm_description: The source of data used in the request to apply the guardrail. Valid Values "INPUT | OUTPUT" - form: form - - name: text - type: string - required: true - label: - en_US: Content to be reviewed - zh_Hans: 待审查内容 - human_description: - en_US: The content used for requesting guardrail review, which can be either user input or LLM output. - zh_Hans: 用于请求护栏审查的内容，可以是用户输入或 LLM 输出。 - llm_description: The content used for requesting guardrail review, which can be either user input or LLM output. - form: llm - - name: aws_region - type: string - required: true - label: - en_US: AWS Region - zh_Hans: AWS 区域 - human_description: - en_US: Please enter the AWS region for the Bedrock client, for example 'us-east-1'. - zh_Hans: 请输入 Bedrock 客户端的 AWS 区域，例如 'us-east-1'。 - llm_description: Please enter the AWS region for the Bedrock client, for example 'us-east-1'. - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py deleted file mode 100644 index 19e7bfa76eb844..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.py +++ /dev/null @@ -1,162 +0,0 @@ -import json -import operator -from typing import Any, Optional, Union - -import boto3 - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class BedrockRetrieveTool(BuiltinTool): - bedrock_client: Any = None - knowledge_base_id: str = None - topk: int = None - - def _bedrock_retrieve( - self, - query_input: str, - knowledge_base_id: str, - num_results: int, - search_type: str, - rerank_model_id: str, - metadata_filter: Optional[dict] = None, - ): - try: - retrieval_query = {"text": query_input} - - if search_type not in ["HYBRID", "SEMANTIC"]: - raise RuntimeException("search_type should be HYBRID or SEMANTIC") - - retrieval_configuration = { - "vectorSearchConfiguration": {"numberOfResults": num_results, "overrideSearchType": search_type} - } - - if rerank_model_id != "default": - model_for_rerank_arn = f"arn:aws:bedrock:us-west-2::foundation-model/{rerank_model_id}" - rerankingConfiguration = { - "bedrockRerankingConfiguration": { - "numberOfRerankedResults": num_results, - "modelConfiguration": {"modelArn": model_for_rerank_arn}, - }, - "type": "BEDROCK_RERANKING_MODEL", - } - - retrieval_configuration["vectorSearchConfiguration"]["rerankingConfiguration"] = rerankingConfiguration - retrieval_configuration["vectorSearchConfiguration"]["numberOfResults"] = num_results * 5 - - # 如果有元数据过滤条件，则添加到检索配置中 - if metadata_filter: - retrieval_configuration["vectorSearchConfiguration"]["filter"] = metadata_filter - - response = self.bedrock_client.retrieve( - knowledgeBaseId=knowledge_base_id, - retrievalQuery=retrieval_query, - retrievalConfiguration=retrieval_configuration, - ) - - results = [] - for result in response.get("retrievalResults", []): - results.append( - { - "content": result.get("content", {}).get("text", ""), - "score": result.get("score", 0.0), - "metadata": result.get("metadata", {}), - } - ) - - return results - except Exception as e: - raise Exception(f"Error retrieving from knowledge base: {str(e)}") - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - try: - line = 0 - # Initialize Bedrock client if not already initialized - if not self.bedrock_client: - aws_region = tool_parameters.get("aws_region") - aws_access_key_id = tool_parameters.get("aws_access_key_id") - aws_secret_access_key = tool_parameters.get("aws_secret_access_key") - - client_kwargs = {"service_name": "bedrock-agent-runtime", "region_name": aws_region or None} - - # Only add credentials if both access key and secret key are provided - if aws_access_key_id and aws_secret_access_key: - client_kwargs.update( - {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key} - ) - - self.bedrock_client = boto3.client(**client_kwargs) - except Exception as e: - return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}") - - try: - line = 1 - if not self.knowledge_base_id: - self.knowledge_base_id = tool_parameters.get("knowledge_base_id") - if not self.knowledge_base_id: - return self.create_text_message("Please provide knowledge_base_id") - - line = 2 - if not self.topk: - self.topk = tool_parameters.get("topk", 5) - - line = 3 - query = tool_parameters.get("query", "") - if not query: - return self.create_text_message("Please input query") - - # 获取元数据过滤条件（如果存在） - metadata_filter_str = tool_parameters.get("metadata_filter") - metadata_filter = json.loads(metadata_filter_str) if metadata_filter_str else None - - search_type = tool_parameters.get("search_type") - rerank_model_id = tool_parameters.get("rerank_model_id") - - line = 4 - retrieved_docs = self._bedrock_retrieve( - query_input=query, - knowledge_base_id=self.knowledge_base_id, - num_results=self.topk, - search_type=search_type, - rerank_model_id=rerank_model_id, - metadata_filter=metadata_filter, - ) - - line = 5 - # Sort results by score in descending order - sorted_docs = sorted(retrieved_docs, key=operator.itemgetter("score"), reverse=True) - - line = 6 - result_type = tool_parameters.get("result_type") - if result_type == "json": - return [self.create_json_message(res) for res in sorted_docs] - else: - text = "" - for i, res in enumerate(sorted_docs): - text += f"{i + 1}: {res['content']}\n" - return self.create_text_message(text) - - except Exception as e: - return self.create_text_message(f"Exception {str(e)}, line : {line}") - - def validate_parameters(self, parameters: dict[str, Any]) -> None: - """ - Validate the parameters - """ - if not parameters.get("knowledge_base_id"): - raise ValueError("knowledge_base_id is required") - - if not parameters.get("query"): - raise ValueError("query is required") - - metadata_filter_str = parameters.get("metadata_filter") - if metadata_filter_str and not isinstance(json.loads(metadata_filter_str), dict): - raise ValueError("metadata_filter must be a valid JSON object") diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml deleted file mode 100644 index d0c520b39298d1..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve.yaml +++ /dev/null @@ -1,179 +0,0 @@ -identity: - name: bedrock_retrieve - author: AWS - label: - en_US: Bedrock Retrieve - zh_Hans: Bedrock检索 - pt_BR: Bedrock Retrieve - icon: icon.svg - -description: - human: - en_US: A tool for retrieving relevant information from Amazon Bedrock Knowledge Base. You can find deploy instructions on Github Repo - https://github.com/aws-samples/dify-aws-tool - zh_Hans: Amazon Bedrock知识库检索工具, 请参考 Github Repo - https://github.com/aws-samples/dify-aws-tool上的部署说明 - pt_BR: A tool for retrieving relevant information from Amazon Bedrock Knowledge Base. - llm: A tool for retrieving relevant information from Amazon Bedrock Knowledge Base. You can find deploy instructions on Github Repo - https://github.com/aws-samples/dify-aws-tool - -parameters: - - name: aws_region - type: string - required: false - label: - en_US: AWS Region - zh_Hans: AWS区域 - human_description: - en_US: AWS region for the Bedrock service - zh_Hans: Bedrock服务的AWS区域 - form: form - - - name: aws_access_key_id - type: string - required: false - label: - en_US: AWS Access Key ID - zh_Hans: AWS访问密钥ID - human_description: - en_US: AWS access key ID for authentication (optional) - zh_Hans: 用于身份验证的AWS访问密钥ID（可选） - form: form - - - name: aws_secret_access_key - type: string - required: false - label: - en_US: AWS Secret Access Key - zh_Hans: AWS秘密访问密钥 - human_description: - en_US: AWS secret access key for authentication (optional) - zh_Hans: 用于身份验证的AWS秘密访问密钥（可选） - form: form - - - name: result_type - type: select - required: true - label: - en_US: result type - zh_Hans: 结果类型 - human_description: - en_US: return a list of json or texts - zh_Hans: 返回一个列表，内容是json还是纯文本 - default: text - options: - - value: json - label: - en_US: JSON - zh_Hans: JSON - - value: text - label: - en_US: Text - zh_Hans: 文本 - form: form - - - name: knowledge_base_id - type: string - required: true - label: - en_US: Bedrock Knowledge Base ID - zh_Hans: Bedrock知识库ID - pt_BR: Bedrock Knowledge Base ID - human_description: - en_US: ID of the Bedrock Knowledge Base to retrieve from - zh_Hans: 用于检索的Bedrock知识库ID - pt_BR: ID of the Bedrock Knowledge Base to retrieve from - llm_description: ID of the Bedrock Knowledge Base to retrieve from - form: form - - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - pt_BR: Query string - human_description: - en_US: The search query to retrieve relevant information - zh_Hans: 用于检索相关信息的查询语句 - pt_BR: The search query to retrieve relevant information - llm_description: The search query to retrieve relevant information - form: llm - - - name: topk - type: number - required: false - form: form - label: - en_US: Limit for results count - zh_Hans: 返回结果数量限制 - pt_BR: Limit for results count - human_description: - en_US: Maximum number of results to return - zh_Hans: 最大返回结果数量 - pt_BR: Maximum number of results to return - min: 1 - max: 10 - default: 5 - - - name: search_type - type: select - required: false - label: - en_US: search type - zh_Hans: 搜索类型 - pt_BR: search type - human_description: - en_US: search type - zh_Hans: 搜索类型 - pt_BR: search type - llm_description: search type - default: SEMANTIC - options: - - value: SEMANTIC - label: - en_US: SEMANTIC - zh_Hans: 语义搜索 - - value: HYBRID - label: - en_US: HYBRID - zh_Hans: 混合搜索 - form: form - - - name: rerank_model_id - type: select - required: false - label: - en_US: rerank model id - zh_Hans: 重拍模型ID - pt_BR: rerank model id - human_description: - en_US: rerank model id - zh_Hans: 重拍模型ID - pt_BR: rerank model id - llm_description: rerank model id - default: default - options: - - value: default - label: - en_US: default - zh_Hans: 默认 - - value: cohere.rerank-v3-5:0 - label: - en_US: cohere.rerank-v3-5:0 - zh_Hans: cohere.rerank-v3-5:0 - - value: amazon.rerank-v1:0 - label: - en_US: amazon.rerank-v1:0 - zh_Hans: amazon.rerank-v1:0 - form: form - - - name: metadata_filter # Additional parameter for metadata filtering - type: string # String type, expects JSON-formatted filter conditions - required: false # Optional field - can be omitted - label: - en_US: Metadata Filter - zh_Hans: 元数据过滤器 - pt_BR: Metadata Filter - human_description: - en_US: 'JSON formatted filter conditions for metadata (e.g., {"greaterThan": {"key: "aaa", "value": 10}})' - zh_Hans: '元数据的JSON格式过滤条件（例如，{{"greaterThan": {"key: "aaa", "value": 10}}）' - pt_BR: 'JSON formatted filter conditions for metadata (e.g., {"greaterThan": {"key: "aaa", "value": 10}})' - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py deleted file mode 100644 index 3717aac344fe5d..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.py +++ /dev/null @@ -1,137 +0,0 @@ -import json -from typing import Any - -import boto3 - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class BedrockRetrieveAndGenerateTool(BuiltinTool): - bedrock_client: Any = None - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> ToolInvokeMessage: - try: - # Initialize Bedrock client if not already initialized - if not self.bedrock_client: - aws_region = tool_parameters.get("aws_region") - aws_access_key_id = tool_parameters.get("aws_access_key_id") - aws_secret_access_key = tool_parameters.get("aws_secret_access_key") - - client_kwargs = {"service_name": "bedrock-agent-runtime", "region_name": aws_region or None} - - # Only add credentials if both access key and secret key are provided - if aws_access_key_id and aws_secret_access_key: - client_kwargs.update( - {"aws_access_key_id": aws_access_key_id, "aws_secret_access_key": aws_secret_access_key} - ) - - self.bedrock_client = boto3.client(**client_kwargs) - except Exception as e: - return self.create_text_message(f"Failed to initialize Bedrock client: {str(e)}") - - try: - request_config = {} - - # Set input configuration - input_text = tool_parameters.get("input") - if input_text: - request_config["input"] = {"text": input_text} - - # Build retrieve and generate configuration - config_type = tool_parameters.get("type") - retrieve_generate_config = {"type": config_type} - - # Add configuration based on type - if config_type == "KNOWLEDGE_BASE": - kb_config_str = tool_parameters.get("knowledge_base_configuration") - kb_config = json.loads(kb_config_str) if kb_config_str else None - retrieve_generate_config["knowledgeBaseConfiguration"] = kb_config - else: # EXTERNAL_SOURCES - es_config_str = tool_parameters.get("external_sources_configuration") - es_config = json.loads(kb_config_str) if es_config_str else None - retrieve_generate_config["externalSourcesConfiguration"] = es_config - - request_config["retrieveAndGenerateConfiguration"] = retrieve_generate_config - - # Parse session configuration - session_config_str = tool_parameters.get("session_configuration") - session_config = json.loads(session_config_str) if session_config_str else None - if session_config: - request_config["sessionConfiguration"] = session_config - - # Add session ID if provided - session_id = tool_parameters.get("session_id") - if session_id: - request_config["sessionId"] = session_id - - # Send request - response = self.bedrock_client.retrieve_and_generate(**request_config) - - # Process response - result = {"output": response.get("output", {}).get("text", ""), "citations": []} - - # Process citations - for citation in response.get("citations", []): - citation_info = { - "text": citation.get("generatedResponsePart", {}).get("textResponsePart", {}).get("text", ""), - "references": [], - } - - for ref in citation.get("retrievedReferences", []): - reference = { - "content": ref.get("content", {}).get("text", ""), - "metadata": ref.get("metadata", {}), - "location": None, - } - - location = ref.get("location", {}) - if location.get("type") == "S3": - reference["location"] = location.get("s3Location", {}).get("uri") - - citation_info["references"].append(reference) - - result["citations"].append(citation_info) - result_type = tool_parameters.get("result_type") - if result_type == "json": - return self.create_json_message(result) - elif result_type == "text-with-citations": - return self.create_text_message(result) - else: - return self.create_text_message(result.get("output")) - except json.JSONDecodeError as e: - return self.create_text_message(f"Invalid JSON format: {str(e)}") - except Exception as e: - return self.create_text_message(f"Tool invocation error: {str(e)}") - - def validate_parameters(self, parameters: dict[str, Any]) -> None: - """Validate the parameters""" - # Validate required parameters - if not parameters.get("input"): - raise ValueError("input is required") - if not parameters.get("type"): - raise ValueError("type is required") - - # Validate JSON configurations - json_configs = ["knowledge_base_configuration", "external_sources_configuration", "session_configuration"] - for config in json_configs: - if config_value := parameters.get(config): - try: - json.loads(config_value) - except json.JSONDecodeError: - raise ValueError(f"{config} must be a valid JSON string") - - # Validate configuration type - config_type = parameters.get("type") - if config_type not in ["KNOWLEDGE_BASE", "EXTERNAL_SOURCES"]: - raise ValueError("type must be either KNOWLEDGE_BASE or EXTERNAL_SOURCES") - - # Validate type-specific configuration - if config_type == "KNOWLEDGE_BASE" and not parameters.get("knowledge_base_configuration"): - raise ValueError("knowledge_base_configuration is required when type is KNOWLEDGE_BASE") - elif config_type == "EXTERNAL_SOURCES" and not parameters.get("external_sources_configuration"): - raise ValueError("external_sources_configuration is required when type is EXTERNAL_SOURCES") diff --git a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml b/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml deleted file mode 100644 index 68f418fc5caa76..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/bedrock_retrieve_and_generate.yaml +++ /dev/null @@ -1,148 +0,0 @@ -identity: - name: bedrock_retrieve_and_generate - author: AWS - label: - en_US: Bedrock Retrieve and Generate - zh_Hans: Bedrock检索和生成 - icon: icon.svg - -description: - human: - en_US: "This is an advanced usage of Bedrock Retrieve. Please refer to the API documentation for detailed parameters and paste them into the corresponding Knowledge Base Configuration or External Sources Configuration" - zh_Hans: "这个工具为Bedrock Retrieve的高级用法，请参考API设置详细的参数，并粘贴到对应的知识库配置或者外部源配置" - llm: A tool for retrieving and generating information using Amazon Bedrock Knowledge Base - -parameters: - - name: aws_region - type: string - required: false - label: - en_US: AWS Region - zh_Hans: AWS区域 - human_description: - en_US: AWS region for the Bedrock service - zh_Hans: Bedrock服务的AWS区域 - form: form - - - name: aws_access_key_id - type: string - required: false - label: - en_US: AWS Access Key ID - zh_Hans: AWS访问密钥ID - human_description: - en_US: AWS access key ID for authentication (optional) - zh_Hans: 用于身份验证的AWS访问密钥ID（可选） - form: form - - - name: aws_secret_access_key - type: string - required: false - label: - en_US: AWS Secret Access Key - zh_Hans: AWS秘密访问密钥 - human_description: - en_US: AWS secret access key for authentication (optional) - zh_Hans: 用于身份验证的AWS秘密访问密钥（可选） - form: form - - - name: result_type - type: select - required: true - label: - en_US: result type - zh_Hans: 结果类型 - human_description: - en_US: return a list of json or texts - zh_Hans: 返回一个列表，内容是json还是纯文本 - default: text - options: - - value: json - label: - en_US: JSON - zh_Hans: JSON - - value: text - label: - en_US: Text - zh_Hans: 文本 - - value: text-with-citations - label: - en_US: Text With Citations - zh_Hans: 文本（包含引用） - form: form - - - name: input - type: string - required: true - label: - en_US: Input Text - zh_Hans: 输入文本 - human_description: - en_US: The text query to retrieve information - zh_Hans: 用于检索信息的文本查询 - form: llm - - - name: type - type: select - required: true - label: - en_US: Configuration Type - zh_Hans: 配置类型 - human_description: - en_US: Type of retrieve and generate configuration - zh_Hans: 检索和生成配置的类型 - options: - - value: KNOWLEDGE_BASE - label: - en_US: Knowledge Base - zh_Hans: 知识库 - - value: EXTERNAL_SOURCES - label: - en_US: External Sources - zh_Hans: 外部源 - form: form - - - name: knowledge_base_configuration - type: string - required: false - label: - en_US: Knowledge Base Configuration - zh_Hans: 知识库配置 - human_description: - en_US: Please refer to @https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate for complete parameters and paste them here - zh_Hans: 请参考 https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate 配置完整的参数并粘贴到这里 - form: form - - - name: external_sources_configuration - type: string - required: false - label: - en_US: External Sources Configuration - zh_Hans: 外部源配置 - human_description: - en_US: Please refer to https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate for complete parameters and paste them here - zh_Hans: 请参考 https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-agent-runtime/client/retrieve_and_generate.html#retrieve-and-generate 配置完整的参数并粘贴到这里 - form: form - - - name: session_configuration - type: string - required: false - label: - en_US: Session Configuration - zh_Hans: 会话配置 - human_description: - en_US: JSON formatted session configuration - zh_Hans: JSON格式的会话配置 - default: "" - form: form - - - name: session_id - type: string - required: false - label: - en_US: Session ID - zh_Hans: 会话ID - human_description: - en_US: Session ID for continuous conversations - zh_Hans: 用于连续对话的会话ID - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.py b/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.py deleted file mode 100644 index b6d16d2759c30e..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.py +++ /dev/null @@ -1,91 +0,0 @@ -import json -from typing import Any, Union - -import boto3 # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class LambdaTranslateUtilsTool(BuiltinTool): - lambda_client: Any = None - - def _invoke_lambda(self, text_content, src_lang, dest_lang, model_id, dictionary_name, request_type, lambda_name): - msg = { - "src_contents": [text_content], - "src_lang": src_lang, - "dest_lang": dest_lang, - "dictionary_id": dictionary_name, - "request_type": request_type, - "model_id": model_id, - } - - invoke_response = self.lambda_client.invoke( - FunctionName=lambda_name, InvocationType="RequestResponse", Payload=json.dumps(msg) - ) - response_body = invoke_response["Payload"] - - response_str = response_body.read().decode("unicode_escape") - - return response_str - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - line = 0 - try: - if not self.lambda_client: - aws_region = tool_parameters.get("aws_region") - if aws_region: - self.lambda_client = boto3.client("lambda", region_name=aws_region) - else: - self.lambda_client = boto3.client("lambda") - - line = 1 - text_content = tool_parameters.get("text_content", "") - if not text_content: - return self.create_text_message("Please input text_content") - - line = 2 - src_lang = tool_parameters.get("src_lang", "") - if not src_lang: - return self.create_text_message("Please input src_lang") - - line = 3 - dest_lang = tool_parameters.get("dest_lang", "") - if not dest_lang: - return self.create_text_message("Please input dest_lang") - - line = 4 - lambda_name = tool_parameters.get("lambda_name", "") - if not lambda_name: - return self.create_text_message("Please input lambda_name") - - line = 5 - request_type = tool_parameters.get("request_type", "") - if not request_type: - return self.create_text_message("Please input request_type") - - line = 6 - model_id = tool_parameters.get("model_id", "") - if not model_id: - return self.create_text_message("Please input model_id") - - line = 7 - dictionary_name = tool_parameters.get("dictionary_name", "") - if not dictionary_name: - return self.create_text_message("Please input dictionary_name") - - result = self._invoke_lambda( - text_content, src_lang, dest_lang, model_id, dictionary_name, request_type, lambda_name - ) - - return self.create_text_message(text=result) - - except Exception as e: - return self.create_text_message(f"Exception {str(e)}, line : {line}") diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.yaml b/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.yaml deleted file mode 100644 index 646602fcd6c245..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.yaml +++ /dev/null @@ -1,134 +0,0 @@ -identity: - name: lambda_translate_utils - author: AWS - label: - en_US: TranslateTool - zh_Hans: 翻译工具 - pt_BR: TranslateTool - icon: icon.svg -description: - human: - en_US: A util tools for LLM translation, extra deployment is needed on AWS. Please refer Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock - zh_Hans: 大语言模型翻译工具(专词映射获取)，需要在AWS上进行额外部署，可参考Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock - pt_BR: A util tools for LLM translation, specific Lambda Function deployment is needed on AWS. Please refer Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock - llm: A util tools for translation. -parameters: - - name: text_content - type: string - required: true - label: - en_US: source content for translation - zh_Hans: 待翻译原文 - pt_BR: source content for translation - human_description: - en_US: source content for translation - zh_Hans: 待翻译原文 - pt_BR: source content for translation - llm_description: source content for translation - form: llm - - name: src_lang - type: string - required: true - label: - en_US: source language code - zh_Hans: 原文语言代号 - pt_BR: source language code - human_description: - en_US: source language code - zh_Hans: 原文语言代号 - pt_BR: source language code - llm_description: source language code - form: llm - - name: dest_lang - type: string - required: true - label: - en_US: target language code - zh_Hans: 目标语言代号 - pt_BR: target language code - human_description: - en_US: target language code - zh_Hans: 目标语言代号 - pt_BR: target language code - llm_description: target language code - form: llm - - name: aws_region - type: string - required: false - label: - en_US: region of Lambda - zh_Hans: Lambda 所在的region - pt_BR: region of Lambda - human_description: - en_US: region of Lambda - zh_Hans: Lambda 所在的region - pt_BR: region of Lambda - llm_description: region of Lambda - form: form - - name: model_id - type: string - required: false - default: anthropic.claude-3-sonnet-20240229-v1:0 - label: - en_US: LLM model_id in bedrock - zh_Hans: bedrock上的大语言模型model_id - pt_BR: LLM model_id in bedrock - human_description: - en_US: LLM model_id in bedrock - zh_Hans: bedrock上的大语言模型model_id - pt_BR: LLM model_id in bedrock - llm_description: LLM model_id in bedrock - form: form - - name: dictionary_name - type: string - required: false - label: - en_US: dictionary name for term mapping - zh_Hans: 专词映射表名称 - pt_BR: dictionary name for term mapping - human_description: - en_US: dictionary name for term mapping - zh_Hans: 专词映射表名称 - pt_BR: dictionary name for term mapping - llm_description: dictionary name for term mapping - form: form - - name: request_type - type: select - required: false - label: - en_US: request type - zh_Hans: 请求类型 - pt_BR: request type - human_description: - en_US: request type - zh_Hans: 请求类型 - pt_BR: request type - default: term_mapping - options: - - value: term_mapping - label: - en_US: term_mapping - zh_Hans: 专词映射 - - value: segment_only - label: - en_US: segment_only - zh_Hans: 仅切词 - - value: translate - label: - en_US: translate - zh_Hans: 翻译内容 - form: form - - name: lambda_name - type: string - default: "translate_tool" - required: true - label: - en_US: AWS Lambda for term mapping retrieval - zh_Hans: 专词召回映射 - AWS Lambda - pt_BR: lambda name for term mapping retrieval - human_description: - en_US: AWS Lambda for term mapping retrieval - zh_Hans: 专词召回映射 - AWS Lambda - pt_BR: AWS Lambda for term mapping retrieval - llm_description: AWS Lambda for term mapping retrieval - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.py b/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.py deleted file mode 100644 index 01bc596346c231..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.py +++ /dev/null @@ -1,70 +0,0 @@ -import json -import logging -from typing import Any, Union - -import boto3 # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -console_handler = logging.StreamHandler() -logger.addHandler(console_handler) - - -class LambdaYamlToJsonTool(BuiltinTool): - lambda_client: Any = None - - def _invoke_lambda(self, lambda_name: str, yaml_content: str) -> str: - msg = {"body": yaml_content} - logger.info(json.dumps(msg)) - - invoke_response = self.lambda_client.invoke( - FunctionName=lambda_name, InvocationType="RequestResponse", Payload=json.dumps(msg) - ) - response_body = invoke_response["Payload"] - - response_str = response_body.read().decode("utf-8") - resp_json = json.loads(response_str) - - logger.info(resp_json) - if resp_json["statusCode"] != 200: - raise Exception(f"Invalid status code: {response_str}") - - return resp_json["body"] - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - try: - if not self.lambda_client: - aws_region = tool_parameters.get("aws_region") # todo: move aws_region out, and update client region - if aws_region: - self.lambda_client = boto3.client("lambda", region_name=aws_region) - else: - self.lambda_client = boto3.client("lambda") - - yaml_content = tool_parameters.get("yaml_content", "") - if not yaml_content: - return self.create_text_message("Please input yaml_content") - - lambda_name = tool_parameters.get("lambda_name", "") - if not lambda_name: - return self.create_text_message("Please input lambda_name") - logger.debug(f"{json.dumps(tool_parameters, indent=2, ensure_ascii=False)}") - - result = self._invoke_lambda(lambda_name, yaml_content) - logger.debug(result) - - return self.create_text_message(result) - except Exception as e: - return self.create_text_message(f"Exception: {str(e)}") - - console_handler.flush() diff --git a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.yaml b/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.yaml deleted file mode 100644 index 919c285348df83..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/lambda_yaml_to_json.yaml +++ /dev/null @@ -1,53 +0,0 @@ -identity: - name: lambda_yaml_to_json - author: AWS - label: - en_US: LambdaYamlToJson - zh_Hans: LambdaYamlToJson - pt_BR: LambdaYamlToJson - icon: icon.svg -description: - human: - en_US: A tool to convert yaml to json using AWS Lambda. - zh_Hans: 将 YAML 转为 JSON 的工具（通过AWS Lambda）。 - pt_BR: A tool to convert yaml to json using AWS Lambda. - llm: A tool to convert yaml to json. -parameters: - - name: yaml_content - type: string - required: true - label: - en_US: YAML content to convert for - zh_Hans: YAML 内容 - pt_BR: YAML content to convert for - human_description: - en_US: YAML content to convert for - zh_Hans: YAML 内容 - pt_BR: YAML content to convert for - llm_description: YAML content to convert for - form: llm - - name: aws_region - type: string - required: false - label: - en_US: region of lambda - zh_Hans: Lambda 所在的region - pt_BR: region of lambda - human_description: - en_US: region of lambda - zh_Hans: Lambda 所在的region - pt_BR: region of lambda - llm_description: region of lambda - form: form - - name: lambda_name - type: string - required: false - label: - en_US: name of lambda - zh_Hans: Lambda 名称 - pt_BR: name of lambda - human_description: - en_US: name of lambda - zh_Hans: Lambda 名称 - pt_BR: name of lambda - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/nova_canvas.py b/api/core/tools/provider/builtin/aws/tools/nova_canvas.py deleted file mode 100644 index 954dbe35a4a784..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/nova_canvas.py +++ /dev/null @@ -1,357 +0,0 @@ -import base64 -import json -import logging -import re -from datetime import datetime -from typing import Any, Union -from urllib.parse import urlparse - -import boto3 - -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter -from core.tools.tool.builtin_tool import BuiltinTool - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -class NovaCanvasTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke AWS Bedrock Nova Canvas model for image generation - """ - # Get common parameters - prompt = tool_parameters.get("prompt", "") - image_output_s3uri = tool_parameters.get("image_output_s3uri", "").strip() - if not prompt: - return self.create_text_message("Please provide a text prompt for image generation.") - if not image_output_s3uri or urlparse(image_output_s3uri).scheme != "s3": - return self.create_text_message("Please provide an valid S3 URI for image output.") - - task_type = tool_parameters.get("task_type", "TEXT_IMAGE") - aws_region = tool_parameters.get("aws_region", "us-east-1") - - # Get common image generation config parameters - width = tool_parameters.get("width", 1024) - height = tool_parameters.get("height", 1024) - cfg_scale = tool_parameters.get("cfg_scale", 8.0) - negative_prompt = tool_parameters.get("negative_prompt", "") - seed = tool_parameters.get("seed", 0) - quality = tool_parameters.get("quality", "standard") - - # Handle S3 image if provided - image_input_s3uri = tool_parameters.get("image_input_s3uri", "") - if task_type != "TEXT_IMAGE": - if not image_input_s3uri or urlparse(image_input_s3uri).scheme != "s3": - return self.create_text_message("Please provide a valid S3 URI for image to image generation.") - - # Parse S3 URI - parsed_uri = urlparse(image_input_s3uri) - bucket = parsed_uri.netloc - key = parsed_uri.path.lstrip("/") - - # Initialize S3 client and download image - s3_client = boto3.client("s3") - response = s3_client.get_object(Bucket=bucket, Key=key) - image_data = response["Body"].read() - - # Base64 encode the image - input_image = base64.b64encode(image_data).decode("utf-8") - - try: - # Initialize Bedrock client - bedrock = boto3.client(service_name="bedrock-runtime", region_name=aws_region) - - # Base image generation config - image_generation_config = { - "width": width, - "height": height, - "cfgScale": cfg_scale, - "seed": seed, - "numberOfImages": 1, - "quality": quality, - } - - # Prepare request body based on task type - body = {"imageGenerationConfig": image_generation_config} - - if task_type == "TEXT_IMAGE": - body["taskType"] = "TEXT_IMAGE" - body["textToImageParams"] = {"text": prompt} - if negative_prompt: - body["textToImageParams"]["negativeText"] = negative_prompt - - elif task_type == "COLOR_GUIDED_GENERATION": - colors = tool_parameters.get("colors", "#ff8080-#ffb280-#ffe680-#ffe680") - if not self._validate_color_string(colors): - return self.create_text_message("Please provide valid colors in hexadecimal format.") - - body["taskType"] = "COLOR_GUIDED_GENERATION" - body["colorGuidedGenerationParams"] = { - "colors": colors.split("-"), - "referenceImage": input_image, - "text": prompt, - } - if negative_prompt: - body["colorGuidedGenerationParams"]["negativeText"] = negative_prompt - - elif task_type == "IMAGE_VARIATION": - similarity_strength = tool_parameters.get("similarity_strength", 0.5) - - body["taskType"] = "IMAGE_VARIATION" - body["imageVariationParams"] = { - "images": [input_image], - "similarityStrength": similarity_strength, - "text": prompt, - } - if negative_prompt: - body["imageVariationParams"]["negativeText"] = negative_prompt - - elif task_type == "INPAINTING": - mask_prompt = tool_parameters.get("mask_prompt") - if not mask_prompt: - return self.create_text_message("Please provide a mask prompt for image inpainting.") - - body["taskType"] = "INPAINTING" - body["inPaintingParams"] = {"image": input_image, "maskPrompt": mask_prompt, "text": prompt} - if negative_prompt: - body["inPaintingParams"]["negativeText"] = negative_prompt - - elif task_type == "OUTPAINTING": - mask_prompt = tool_parameters.get("mask_prompt") - if not mask_prompt: - return self.create_text_message("Please provide a mask prompt for image outpainting.") - outpainting_mode = tool_parameters.get("outpainting_mode", "DEFAULT") - - body["taskType"] = "OUTPAINTING" - body["outPaintingParams"] = { - "image": input_image, - "maskPrompt": mask_prompt, - "outPaintingMode": outpainting_mode, - "text": prompt, - } - if negative_prompt: - body["outPaintingParams"]["negativeText"] = negative_prompt - - elif task_type == "BACKGROUND_REMOVAL": - body["taskType"] = "BACKGROUND_REMOVAL" - body["backgroundRemovalParams"] = {"image": input_image} - - else: - return self.create_text_message(f"Unsupported task type: {task_type}") - - # Call Nova Canvas model - response = bedrock.invoke_model( - body=json.dumps(body), - modelId="amazon.nova-canvas-v1:0", - accept="application/json", - contentType="application/json", - ) - - # Process response - response_body = json.loads(response.get("body").read()) - if response_body.get("error"): - raise Exception(f"Error in model response: {response_body.get('error')}") - base64_image = response_body.get("images")[0] - - # Upload to S3 if image_output_s3uri is provided - try: - # Parse S3 URI for output - parsed_uri = urlparse(image_output_s3uri) - output_bucket = parsed_uri.netloc - output_base_path = parsed_uri.path.lstrip("/") - # Generate filename with timestamp - timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") - output_key = f"{output_base_path}/canvas-output-{timestamp}.png" - - # Initialize S3 client if not already done - s3_client = boto3.client("s3", region_name=aws_region) - - # Decode base64 image and upload to S3 - image_data = base64.b64decode(base64_image) - s3_client.put_object(Bucket=output_bucket, Key=output_key, Body=image_data, ContentType="image/png") - logger.info(f"Image uploaded to s3://{output_bucket}/{output_key}") - except Exception as e: - logger.exception("Failed to upload image to S3") - # Return image - return [ - self.create_text_message(f"Image is available at: s3://{output_bucket}/{output_key}"), - self.create_blob_message( - blob=base64.b64decode(base64_image), - meta={"mime_type": "image/png"}, - save_as=self.VariableKey.IMAGE.value, - ), - ] - - except Exception as e: - return self.create_text_message(f"Failed to generate image: {str(e)}") - - def _validate_color_string(self, color_string) -> bool: - color_pattern = r"^#[0-9a-fA-F]{6}(?:-#[0-9a-fA-F]{6})*$" - - if re.match(color_pattern, color_string): - return True - return False - - def get_runtime_parameters(self) -> list[ToolParameter]: - parameters = [ - ToolParameter( - name="prompt", - label=I18nObject(en_US="Prompt", zh_Hans="提示词"), - type=ToolParameter.ToolParameterType.STRING, - required=True, - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject( - en_US="Text description of the image you want to generate or modify", - zh_Hans="您想要生成或修改的图像的文本描述", - ), - llm_description="Describe the image you want to generate or how you want to modify the input image", - ), - ToolParameter( - name="image_input_s3uri", - label=I18nObject(en_US="Input image s3 uri", zh_Hans="输入图片的s3 uri"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject(en_US="Image to be modified", zh_Hans="想要修改的图片"), - ), - ToolParameter( - name="image_output_s3uri", - label=I18nObject(en_US="Output Image S3 URI", zh_Hans="输出图片的S3 URI目录"), - type=ToolParameter.ToolParameterType.STRING, - required=True, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="S3 URI where the generated image should be uploaded", zh_Hans="生成的图像应该上传到的S3 URI" - ), - ), - ToolParameter( - name="width", - label=I18nObject(en_US="Width", zh_Hans="宽度"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=1024, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="Width of the generated image", zh_Hans="生成图像的宽度"), - ), - ToolParameter( - name="height", - label=I18nObject(en_US="Height", zh_Hans="高度"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=1024, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="Height of the generated image", zh_Hans="生成图像的高度"), - ), - ToolParameter( - name="cfg_scale", - label=I18nObject(en_US="CFG Scale", zh_Hans="CFG比例"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=8.0, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="How strongly the image should conform to the prompt", zh_Hans="图像应该多大程度上符合提示词" - ), - ), - ToolParameter( - name="negative_prompt", - label=I18nObject(en_US="Negative Prompt", zh_Hans="负面提示词"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - default="", - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject( - en_US="Things you don't want in the generated image", zh_Hans="您不想在生成的图像中出现的内容" - ), - ), - ToolParameter( - name="seed", - label=I18nObject(en_US="Seed", zh_Hans="种子值"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=0, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="Random seed for image generation", zh_Hans="图像生成的随机种子"), - ), - ToolParameter( - name="aws_region", - label=I18nObject(en_US="AWS Region", zh_Hans="AWS 区域"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - default="us-east-1", - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="AWS region for Bedrock service", zh_Hans="Bedrock 服务的 AWS 区域"), - ), - ToolParameter( - name="task_type", - label=I18nObject(en_US="Task Type", zh_Hans="任务类型"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - default="TEXT_IMAGE", - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject(en_US="Type of image generation task", zh_Hans="图像生成任务的类型"), - ), - ToolParameter( - name="quality", - label=I18nObject(en_US="Quality", zh_Hans="质量"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - default="standard", - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="Quality of the generated image (standard or premium)", zh_Hans="生成图像的质量（标准或高级）" - ), - ), - ToolParameter( - name="colors", - label=I18nObject(en_US="Colors", zh_Hans="颜色"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="List of colors for color-guided generation, example: #ff8080-#ffb280-#ffe680-#ffe680", - zh_Hans="颜色引导生成的颜色列表, 例子: #ff8080-#ffb280-#ffe680-#ffe680", - ), - ), - ToolParameter( - name="similarity_strength", - label=I18nObject(en_US="Similarity Strength", zh_Hans="相似度强度"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=0.5, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="How similar the generated image should be to the input image (0.0 to 1.0)", - zh_Hans="生成的图像应该与输入图像的相似程度（0.0到1.0）", - ), - ), - ToolParameter( - name="mask_prompt", - label=I18nObject(en_US="Mask Prompt", zh_Hans="蒙版提示词"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject( - en_US="Text description to generate mask for inpainting/outpainting", - zh_Hans="用于生成内补绘制/外补绘制蒙版的文本描述", - ), - ), - ToolParameter( - name="outpainting_mode", - label=I18nObject(en_US="Outpainting Mode", zh_Hans="外补绘制模式"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - default="DEFAULT", - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="Mode for outpainting (DEFAULT or other supported modes)", - zh_Hans="外补绘制的模式（DEFAULT或其他支持的模式）", - ), - ), - ] - - return parameters diff --git a/api/core/tools/provider/builtin/aws/tools/nova_canvas.yaml b/api/core/tools/provider/builtin/aws/tools/nova_canvas.yaml deleted file mode 100644 index a72fd9c8efcce1..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/nova_canvas.yaml +++ /dev/null @@ -1,175 +0,0 @@ -identity: - name: nova_canvas - author: AWS - label: - en_US: AWS Bedrock Nova Canvas - zh_Hans: AWS Bedrock Nova Canvas - icon: icon.svg -description: - human: - en_US: A tool for generating and modifying images using AWS Bedrock's Nova Canvas model. Supports text-to-image, color-guided generation, image variation, inpainting, outpainting, and background removal. Input parameters reference https://docs.aws.amazon.com/nova/latest/userguide/image-gen-req-resp-structure.html - zh_Hans: 使用 AWS Bedrock 的 Nova Canvas 模型生成和修改图像的工具。支持文生图、颜色引导生成、图像变体、内补绘制、外补绘制和背景移除功能, 输入参数参考 https://docs.aws.amazon.com/nova/latest/userguide/image-gen-req-resp-structure.html。 - llm: Generate or modify images using AWS Bedrock's Nova Canvas model with multiple task types including text-to-image, color-guided generation, image variation, inpainting, outpainting, and background removal. -parameters: - - name: task_type - type: string - required: false - default: TEXT_IMAGE - label: - en_US: Task Type - zh_Hans: 任务类型 - human_description: - en_US: Type of image generation task (TEXT_IMAGE, COLOR_GUIDED_GENERATION, IMAGE_VARIATION, INPAINTING, OUTPAINTING, BACKGROUND_REMOVAL) - zh_Hans: 图像生成任务的类型（文生图、颜色引导生成、图像变体、内补绘制、外补绘制、背景移除） - form: llm - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - human_description: - en_US: Text description of the image you want to generate or modify - zh_Hans: 您想要生成或修改的图像的文本描述 - llm_description: Describe the image you want to generate or how you want to modify the input image - form: llm - - name: image_input_s3uri - type: string - required: false - label: - en_US: Input image s3 uri - zh_Hans: 输入图片的s3 uri - human_description: - en_US: The input image to modify (required for all modes except TEXT_IMAGE) - zh_Hans: 要修改的输入图像（除文生图外的所有模式都需要） - llm_description: The input image you want to modify. Required for all modes except TEXT_IMAGE. - form: llm - - name: image_output_s3uri - type: string - required: true - label: - en_US: Output S3 URI - zh_Hans: 输出S3 URI - human_description: - en_US: The S3 URI where the generated image will be saved. If provided, the image will be uploaded with name format canvas-output-{timestamp}.png - zh_Hans: 生成的图像将保存到的S3 URI。如果提供，图像将以canvas-output-{timestamp}.png的格式上传 - llm_description: Optional S3 URI where the generated image will be uploaded. The image will be saved with a timestamp-based filename. - form: form - - name: negative_prompt - type: string - required: false - label: - en_US: Negative Prompt - zh_Hans: 负面提示词 - human_description: - en_US: Things you don't want in the generated image - zh_Hans: 您不想在生成的图像中出现的内容 - form: llm - - name: width - type: number - required: false - label: - en_US: Width - zh_Hans: 宽度 - human_description: - en_US: Width of the generated image - zh_Hans: 生成图像的宽度 - form: form - default: 1024 - - name: height - type: number - required: false - label: - en_US: Height - zh_Hans: 高度 - human_description: - en_US: Height of the generated image - zh_Hans: 生成图像的高度 - form: form - default: 1024 - - name: cfg_scale - type: number - required: false - label: - en_US: CFG Scale - zh_Hans: CFG比例 - human_description: - en_US: How strongly the image should conform to the prompt - zh_Hans: 图像应该多大程度上符合提示词 - form: form - default: 8.0 - - name: seed - type: number - required: false - label: - en_US: Seed - zh_Hans: 种子值 - human_description: - en_US: Random seed for image generation - zh_Hans: 图像生成的随机种子 - form: form - default: 0 - - name: aws_region - type: string - required: false - default: us-east-1 - label: - en_US: AWS Region - zh_Hans: AWS 区域 - human_description: - en_US: AWS region for Bedrock service - zh_Hans: Bedrock 服务的 AWS 区域 - form: form - - name: quality - type: string - required: false - default: standard - label: - en_US: Quality - zh_Hans: 质量 - human_description: - en_US: Quality of the generated image (standard or premium) - zh_Hans: 生成图像的质量（标准或高级） - form: form - - name: colors - type: string - required: false - label: - en_US: Colors - zh_Hans: 颜色 - human_description: - en_US: List of colors for color-guided generation - zh_Hans: 颜色引导生成的颜色列表 - form: form - - name: similarity_strength - type: number - required: false - default: 0.5 - label: - en_US: Similarity Strength - zh_Hans: 相似度强度 - human_description: - en_US: How similar the generated image should be to the input image (0.0 to 1.0) - zh_Hans: 生成的图像应该与输入图像的相似程度（0.0到1.0） - form: form - - name: mask_prompt - type: string - required: false - label: - en_US: Mask Prompt - zh_Hans: 蒙版提示词 - human_description: - en_US: Text description to generate mask for inpainting/outpainting - zh_Hans: 用于生成内补绘制/外补绘制蒙版的文本描述 - form: llm - - name: outpainting_mode - type: string - required: false - default: DEFAULT - label: - en_US: Outpainting Mode - zh_Hans: 外补绘制模式 - human_description: - en_US: Mode for outpainting (DEFAULT or other supported modes) - zh_Hans: 外补绘制的模式（DEFAULT或其他支持的模式） - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/nova_reel.py b/api/core/tools/provider/builtin/aws/tools/nova_reel.py deleted file mode 100644 index 848df0b36bfb5a..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/nova_reel.py +++ /dev/null @@ -1,370 +0,0 @@ -import base64 -import logging -import time -from io import BytesIO -from typing import Any, Optional, Union -from urllib.parse import urlparse - -import boto3 -from botocore.exceptions import ClientError -from PIL import Image - -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter -from core.tools.tool.builtin_tool import BuiltinTool - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -NOVA_REEL_DEFAULT_REGION = "us-east-1" -NOVA_REEL_DEFAULT_DIMENSION = "1280x720" -NOVA_REEL_DEFAULT_FPS = 24 -NOVA_REEL_DEFAULT_DURATION = 6 -NOVA_REEL_MODEL_ID = "amazon.nova-reel-v1:0" -NOVA_REEL_STATUS_CHECK_INTERVAL = 5 - -# Image requirements -NOVA_REEL_REQUIRED_IMAGE_WIDTH = 1280 -NOVA_REEL_REQUIRED_IMAGE_HEIGHT = 720 -NOVA_REEL_REQUIRED_IMAGE_MODE = "RGB" - - -class NovaReelTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke AWS Bedrock Nova Reel model for video generation. - - Args: - user_id: The ID of the user making the request - tool_parameters: Dictionary containing the tool parameters - - Returns: - ToolInvokeMessage containing either the video content or status information - """ - try: - # Validate and extract parameters - params = self._validate_and_extract_parameters(tool_parameters) - if isinstance(params, ToolInvokeMessage): - return params - - # Initialize AWS clients - bedrock, s3_client = self._initialize_aws_clients(params["aws_region"]) - - # Prepare model input - model_input = self._prepare_model_input(params, s3_client) - if isinstance(model_input, ToolInvokeMessage): - return model_input - - # Start video generation - invocation = self._start_video_generation(bedrock, model_input, params["video_output_s3uri"]) - invocation_arn = invocation["invocationArn"] - - # Handle async/sync mode - return self._handle_generation_mode(bedrock, s3_client, invocation_arn, params["async_mode"]) - - except ClientError as e: - error_code = e.response.get("Error", {}).get("Code", "Unknown") - error_message = e.response.get("Error", {}).get("Message", str(e)) - logger.exception(f"AWS API error: {error_code} - {error_message}") - return self.create_text_message(f"AWS service error: {error_code} - {error_message}") - except Exception as e: - logger.error(f"Unexpected error in video generation: {str(e)}", exc_info=True) - return self.create_text_message(f"Failed to generate video: {str(e)}") - - def _validate_and_extract_parameters( - self, tool_parameters: dict[str, Any] - ) -> Union[dict[str, Any], ToolInvokeMessage]: - """Validate and extract parameters from the input dictionary.""" - prompt = tool_parameters.get("prompt", "") - video_output_s3uri = tool_parameters.get("video_output_s3uri", "").strip() - - # Validate required parameters - if not prompt: - return self.create_text_message("Please provide a text prompt for video generation.") - if not video_output_s3uri: - return self.create_text_message("Please provide an S3 URI for video output.") - - # Validate S3 URI format - if not video_output_s3uri.startswith("s3://"): - return self.create_text_message("Invalid S3 URI format. Must start with 's3://'") - - # Ensure S3 URI ends with '/' - video_output_s3uri = video_output_s3uri if video_output_s3uri.endswith("/") else video_output_s3uri + "/" - - return { - "prompt": prompt, - "video_output_s3uri": video_output_s3uri, - "image_input_s3uri": tool_parameters.get("image_input_s3uri", "").strip(), - "aws_region": tool_parameters.get("aws_region", NOVA_REEL_DEFAULT_REGION), - "dimension": tool_parameters.get("dimension", NOVA_REEL_DEFAULT_DIMENSION), - "seed": int(tool_parameters.get("seed", 0)), - "fps": int(tool_parameters.get("fps", NOVA_REEL_DEFAULT_FPS)), - "duration": int(tool_parameters.get("duration", NOVA_REEL_DEFAULT_DURATION)), - "async_mode": bool(tool_parameters.get("async", True)), - } - - def _initialize_aws_clients(self, region: str) -> tuple[Any, Any]: - """Initialize AWS Bedrock and S3 clients.""" - bedrock = boto3.client(service_name="bedrock-runtime", region_name=region) - s3_client = boto3.client("s3", region_name=region) - return bedrock, s3_client - - def _prepare_model_input(self, params: dict[str, Any], s3_client: Any) -> Union[dict[str, Any], ToolInvokeMessage]: - """Prepare the input for the Nova Reel model.""" - model_input = { - "taskType": "TEXT_VIDEO", - "textToVideoParams": {"text": params["prompt"]}, - "videoGenerationConfig": { - "durationSeconds": params["duration"], - "fps": params["fps"], - "dimension": params["dimension"], - "seed": params["seed"], - }, - } - - # Add image if provided - if params["image_input_s3uri"]: - try: - image_data = self._get_image_from_s3(s3_client, params["image_input_s3uri"]) - if not image_data: - return self.create_text_message("Failed to retrieve image from S3") - - # Process and validate image - processed_image = self._process_and_validate_image(image_data) - if isinstance(processed_image, ToolInvokeMessage): - return processed_image - - # Convert processed image to base64 - img_buffer = BytesIO() - processed_image.save(img_buffer, format="PNG") - img_buffer.seek(0) - input_image_base64 = base64.b64encode(img_buffer.getvalue()).decode("utf-8") - - model_input["textToVideoParams"]["images"] = [ - {"format": "png", "source": {"bytes": input_image_base64}} - ] - except Exception as e: - logger.error(f"Error processing input image: {str(e)}", exc_info=True) - return self.create_text_message(f"Failed to process input image: {str(e)}") - - return model_input - - def _process_and_validate_image(self, image_data: bytes) -> Union[Image.Image, ToolInvokeMessage]: - """ - Process and validate the input image according to Nova Reel requirements. - - Requirements: - - Must be 1280x720 pixels - - Must be RGB format (8 bits per channel) - - If PNG, alpha channel must not have transparent/translucent pixels - """ - try: - # Open image - img = Image.open(BytesIO(image_data)) - - # Convert RGBA to RGB if needed, ensuring no transparency - if img.mode == "RGBA": - # Check for transparency - if img.getchannel("A").getextrema()[0] < 255: - return self.create_text_message( - "PNG image contains transparent or translucent pixels, which is not supported. " - "Please provide an image without transparency." - ) - # Convert to RGB - img = img.convert("RGB") - elif img.mode != "RGB": - # Convert any other mode to RGB - img = img.convert("RGB") - - # Validate/adjust dimensions - if img.size != (NOVA_REEL_REQUIRED_IMAGE_WIDTH, NOVA_REEL_REQUIRED_IMAGE_HEIGHT): - logger.warning( - f"Image dimensions {img.size} do not match required dimensions " - f"({NOVA_REEL_REQUIRED_IMAGE_WIDTH}x{NOVA_REEL_REQUIRED_IMAGE_HEIGHT}). Resizing..." - ) - img = img.resize( - (NOVA_REEL_REQUIRED_IMAGE_WIDTH, NOVA_REEL_REQUIRED_IMAGE_HEIGHT), Image.Resampling.LANCZOS - ) - - # Validate bit depth - if img.mode != NOVA_REEL_REQUIRED_IMAGE_MODE: - return self.create_text_message( - f"Image must be in {NOVA_REEL_REQUIRED_IMAGE_MODE} mode with 8 bits per channel" - ) - - return img - - except Exception as e: - logger.error(f"Error processing image: {str(e)}", exc_info=True) - return self.create_text_message( - "Failed to process image. Please ensure the image is a valid JPEG or PNG file." - ) - - def _get_image_from_s3(self, s3_client: Any, s3_uri: str) -> Optional[bytes]: - """Download and return image data from S3.""" - parsed_uri = urlparse(s3_uri) - bucket = parsed_uri.netloc - key = parsed_uri.path.lstrip("/") - - response = s3_client.get_object(Bucket=bucket, Key=key) - return response["Body"].read() - - def _start_video_generation(self, bedrock: Any, model_input: dict[str, Any], output_s3uri: str) -> dict[str, Any]: - """Start the async video generation process.""" - return bedrock.start_async_invoke( - modelId=NOVA_REEL_MODEL_ID, - modelInput=model_input, - outputDataConfig={"s3OutputDataConfig": {"s3Uri": output_s3uri}}, - ) - - def _handle_generation_mode( - self, bedrock: Any, s3_client: Any, invocation_arn: str, async_mode: bool - ) -> ToolInvokeMessage: - """Handle async or sync video generation mode.""" - invocation_response = bedrock.get_async_invoke(invocationArn=invocation_arn) - video_path = invocation_response["outputDataConfig"]["s3OutputDataConfig"]["s3Uri"] - video_uri = f"{video_path}/output.mp4" - - if async_mode: - return self.create_text_message( - f"Video generation started.\nInvocation ARN: {invocation_arn}\nVideo will be available at: {video_uri}" - ) - - return self._wait_for_completion(bedrock, s3_client, invocation_arn) - - def _wait_for_completion(self, bedrock: Any, s3_client: Any, invocation_arn: str) -> ToolInvokeMessage: - """Wait for video generation completion and handle the result.""" - while True: - status_response = bedrock.get_async_invoke(invocationArn=invocation_arn) - status = status_response["status"] - video_path = status_response["outputDataConfig"]["s3OutputDataConfig"]["s3Uri"] - - if status == "Completed": - return self._handle_completed_video(s3_client, video_path) - elif status == "Failed": - failure_message = status_response.get("failureMessage", "Unknown error") - return self.create_text_message(f"Video generation failed.\nError: {failure_message}") - elif status == "InProgress": - time.sleep(NOVA_REEL_STATUS_CHECK_INTERVAL) - else: - return self.create_text_message(f"Unexpected status: {status}") - - def _handle_completed_video(self, s3_client: Any, video_path: str) -> ToolInvokeMessage: - """Handle completed video generation and return the result.""" - parsed_uri = urlparse(video_path) - bucket = parsed_uri.netloc - key = parsed_uri.path.lstrip("/") + "/output.mp4" - - try: - response = s3_client.get_object(Bucket=bucket, Key=key) - video_content = response["Body"].read() - return [ - self.create_text_message(f"Video is available at: {video_path}/output.mp4"), - self.create_blob_message(blob=video_content, meta={"mime_type": "video/mp4"}, save_as="output.mp4"), - ] - except Exception as e: - logger.error(f"Error downloading video: {str(e)}", exc_info=True) - return self.create_text_message( - f"Video generation completed but failed to download video: {str(e)}\n" - f"Video is available at: s3://{bucket}/{key}" - ) - - def get_runtime_parameters(self) -> list[ToolParameter]: - """Define the tool's runtime parameters.""" - parameters = [ - ToolParameter( - name="prompt", - label=I18nObject(en_US="Prompt", zh_Hans="提示词"), - type=ToolParameter.ToolParameterType.STRING, - required=True, - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject( - en_US="Text description of the video you want to generate", zh_Hans="您想要生成的视频的文本描述" - ), - llm_description="Describe the video you want to generate", - ), - ToolParameter( - name="video_output_s3uri", - label=I18nObject(en_US="Output S3 URI", zh_Hans="输出S3 URI"), - type=ToolParameter.ToolParameterType.STRING, - required=True, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="S3 URI where the generated video will be stored", zh_Hans="生成的视频将存储的S3 URI" - ), - ), - ToolParameter( - name="dimension", - label=I18nObject(en_US="Dimension", zh_Hans="尺寸"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - default=NOVA_REEL_DEFAULT_DIMENSION, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="Video dimensions (width x height)", zh_Hans="视频尺寸（宽 x 高）"), - ), - ToolParameter( - name="duration", - label=I18nObject(en_US="Duration", zh_Hans="时长"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=NOVA_REEL_DEFAULT_DURATION, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="Video duration in seconds", zh_Hans="视频时长（秒）"), - ), - ToolParameter( - name="seed", - label=I18nObject(en_US="Seed", zh_Hans="种子值"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=0, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="Random seed for video generation", zh_Hans="视频生成的随机种子"), - ), - ToolParameter( - name="fps", - label=I18nObject(en_US="FPS", zh_Hans="帧率"), - type=ToolParameter.ToolParameterType.NUMBER, - required=False, - default=NOVA_REEL_DEFAULT_FPS, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject( - en_US="Frames per second for the generated video", zh_Hans="生成视频的每秒帧数" - ), - ), - ToolParameter( - name="async", - label=I18nObject(en_US="Async Mode", zh_Hans="异步模式"), - type=ToolParameter.ToolParameterType.BOOLEAN, - required=False, - default=True, - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject( - en_US="Whether to run in async mode (return immediately) or sync mode (wait for completion)", - zh_Hans="是否以异步模式运行（立即返回）或同步模式（等待完成）", - ), - ), - ToolParameter( - name="aws_region", - label=I18nObject(en_US="AWS Region", zh_Hans="AWS 区域"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - default=NOVA_REEL_DEFAULT_REGION, - form=ToolParameter.ToolParameterForm.FORM, - human_description=I18nObject(en_US="AWS region for Bedrock service", zh_Hans="Bedrock 服务的 AWS 区域"), - ), - ToolParameter( - name="image_input_s3uri", - label=I18nObject(en_US="Input Image S3 URI", zh_Hans="输入图像S3 URI"), - type=ToolParameter.ToolParameterType.STRING, - required=False, - form=ToolParameter.ToolParameterForm.LLM, - human_description=I18nObject( - en_US="S3 URI of the input image (1280x720 JPEG/PNG) to use as first frame", - zh_Hans="用作第一帧的输入图像（1280x720 JPEG/PNG）的S3 URI", - ), - ), - ] - - return parameters diff --git a/api/core/tools/provider/builtin/aws/tools/nova_reel.yaml b/api/core/tools/provider/builtin/aws/tools/nova_reel.yaml deleted file mode 100644 index 16df5ba5c9d1e3..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/nova_reel.yaml +++ /dev/null @@ -1,124 +0,0 @@ -identity: - name: nova_reel - author: AWS - label: - en_US: AWS Bedrock Nova Reel - zh_Hans: AWS Bedrock Nova Reel - icon: icon.svg -description: - human: - en_US: A tool for generating videos using AWS Bedrock's Nova Reel model. Supports text-to-video generation and image-to-video generation with customizable parameters like duration, FPS, and dimensions. Input parameters reference https://docs.aws.amazon.com/nova/latest/userguide/video-generation.html - zh_Hans: 使用 AWS Bedrock 的 Nova Reel 模型生成视频的工具。支持文本生成视频和图像生成视频功能，可自定义持续时间、帧率和尺寸等参数。输入参数参考 https://docs.aws.amazon.com/nova/latest/userguide/video-generation.html - llm: Generate videos using AWS Bedrock's Nova Reel model with support for both text-to-video and image-to-video generation, allowing customization of video properties like duration, frame rate, and resolution. - -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - human_description: - en_US: Text description of the video you want to generate - zh_Hans: 您想要生成的视频的文本描述 - llm_description: Describe the video you want to generate - form: llm - - - name: video_output_s3uri - type: string - required: true - label: - en_US: Output S3 URI - zh_Hans: 输出S3 URI - human_description: - en_US: S3 URI where the generated video will be stored - zh_Hans: 生成的视频将存储的S3 URI - form: form - - - name: dimension - type: string - required: false - default: 1280x720 - label: - en_US: Dimension - zh_Hans: 尺寸 - human_description: - en_US: Video dimensions (width x height) - zh_Hans: 视频尺寸（宽 x 高） - form: form - - - name: duration - type: number - required: false - default: 6 - label: - en_US: Duration - zh_Hans: 时长 - human_description: - en_US: Video duration in seconds - zh_Hans: 视频时长（秒） - form: form - - - name: seed - type: number - required: false - default: 0 - label: - en_US: Seed - zh_Hans: 种子值 - human_description: - en_US: Random seed for video generation - zh_Hans: 视频生成的随机种子 - form: form - - - name: fps - type: number - required: false - default: 24 - label: - en_US: FPS - zh_Hans: 帧率 - human_description: - en_US: Frames per second for the generated video - zh_Hans: 生成视频的每秒帧数 - form: form - - - name: async - type: boolean - required: false - default: true - label: - en_US: Async Mode - zh_Hans: 异步模式 - human_description: - en_US: Whether to run in async mode (return immediately) or sync mode (wait for completion) - zh_Hans: 是否以异步模式运行（立即返回）或同步模式（等待完成） - form: llm - - - name: aws_region - type: string - required: false - default: us-east-1 - label: - en_US: AWS Region - zh_Hans: AWS 区域 - human_description: - en_US: AWS region for Bedrock service - zh_Hans: Bedrock 服务的 AWS 区域 - form: form - - - name: image_input_s3uri - type: string - required: false - label: - en_US: Input Image S3 URI - zh_Hans: 输入图像S3 URI - human_description: - en_US: S3 URI of the input image (1280x720 JPEG/PNG) to use as first frame - zh_Hans: 用作第一帧的输入图像（1280x720 JPEG/PNG）的S3 URI - form: llm - -development: - dependencies: - - boto3 - - pillow diff --git a/api/core/tools/provider/builtin/aws/tools/s3_operator.py b/api/core/tools/provider/builtin/aws/tools/s3_operator.py deleted file mode 100644 index e4026b07a87310..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/s3_operator.py +++ /dev/null @@ -1,80 +0,0 @@ -from typing import Any, Union -from urllib.parse import urlparse - -import boto3 - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class S3Operator(BuiltinTool): - s3_client: Any = None - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - try: - # Initialize S3 client if not already done - if not self.s3_client: - aws_region = tool_parameters.get("aws_region") - if aws_region: - self.s3_client = boto3.client("s3", region_name=aws_region) - else: - self.s3_client = boto3.client("s3") - - # Parse S3 URI - s3_uri = tool_parameters.get("s3_uri") - if not s3_uri: - return self.create_text_message("s3_uri parameter is required") - - parsed_uri = urlparse(s3_uri) - if parsed_uri.scheme != "s3": - return self.create_text_message("Invalid S3 URI format. Must start with 's3://'") - - bucket = parsed_uri.netloc - # Remove leading slash from key - key = parsed_uri.path.lstrip("/") - - operation_type = tool_parameters.get("operation_type", "read") - generate_presign_url = tool_parameters.get("generate_presign_url", False) - presign_expiry = int(tool_parameters.get("presign_expiry", 3600)) # default 1 hour - - if operation_type == "write": - text_content = tool_parameters.get("text_content") - if not text_content: - return self.create_text_message("text_content parameter is required for write operation") - - # Write content to S3 - self.s3_client.put_object(Bucket=bucket, Key=key, Body=text_content.encode("utf-8")) - result = f"s3://{bucket}/{key}" - - # Generate presigned URL for the written object if requested - if generate_presign_url: - result = self.s3_client.generate_presigned_url( - "get_object", Params={"Bucket": bucket, "Key": key}, ExpiresIn=presign_expiry - ) - - else: # read operation - # Get object from S3 - response = self.s3_client.get_object(Bucket=bucket, Key=key) - result = response["Body"].read().decode("utf-8") - - # Generate presigned URL if requested - if generate_presign_url: - result = self.s3_client.generate_presigned_url( - "get_object", Params={"Bucket": bucket, "Key": key}, ExpiresIn=presign_expiry - ) - - return self.create_text_message(text=result) - - except self.s3_client.exceptions.NoSuchBucket: - return self.create_text_message(f"Bucket '{bucket}' does not exist") - except self.s3_client.exceptions.NoSuchKey: - return self.create_text_message(f"Object '{key}' does not exist in bucket '{bucket}'") - except Exception as e: - return self.create_text_message(f"Exception: {str(e)}") diff --git a/api/core/tools/provider/builtin/aws/tools/s3_operator.yaml b/api/core/tools/provider/builtin/aws/tools/s3_operator.yaml deleted file mode 100644 index 642fc2966e9b6d..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/s3_operator.yaml +++ /dev/null @@ -1,98 +0,0 @@ -identity: - name: s3_operator - author: AWS - label: - en_US: AWS S3 Operator - zh_Hans: AWS S3 读写器 - pt_BR: AWS S3 Operator - icon: icon.svg -description: - human: - en_US: AWS S3 Writer and Reader - zh_Hans: 读写S3 bucket中的文件 - pt_BR: AWS S3 Writer and Reader - llm: AWS S3 Writer and Reader -parameters: - - name: text_content - type: string - required: false - label: - en_US: The text to write - zh_Hans: 待写入的文本 - pt_BR: The text to write - human_description: - en_US: The text to write - zh_Hans: 待写入的文本 - pt_BR: The text to write - llm_description: The text to write - form: llm - - name: s3_uri - type: string - required: true - label: - en_US: s3 uri - zh_Hans: s3 uri - pt_BR: s3 uri - human_description: - en_US: s3 uri - zh_Hans: s3 uri - pt_BR: s3 uri - llm_description: s3 uri - form: llm - - name: aws_region - type: string - required: true - label: - en_US: region of bucket - zh_Hans: bucket 所在的region - pt_BR: region of bucket - human_description: - en_US: region of bucket - zh_Hans: bucket 所在的region - pt_BR: region of bucket - llm_description: region of bucket - form: form - - name: operation_type - type: select - required: true - label: - en_US: operation type - zh_Hans: 操作类型 - pt_BR: operation type - human_description: - en_US: operation type - zh_Hans: 操作类型 - pt_BR: operation type - default: read - options: - - value: read - label: - en_US: read - zh_Hans: 读 - - value: write - label: - en_US: write - zh_Hans: 写 - form: form - - name: generate_presign_url - type: boolean - required: false - label: - en_US: Generate presigned URL - zh_Hans: 生成预签名URL - human_description: - en_US: Whether to generate a presigned URL for the S3 object - zh_Hans: 是否生成S3对象的预签名URL - default: false - form: form - - name: presign_expiry - type: number - required: false - label: - en_US: Presigned URL expiration time - zh_Hans: 预签名URL有效期 - human_description: - en_US: Expiration time in seconds for the presigned URL - zh_Hans: 预签名URL的有效期（秒） - default: 3600 - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.py b/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.py deleted file mode 100644 index 3d88f28dbd2fc7..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.py +++ /dev/null @@ -1,67 +0,0 @@ -import json -from typing import Any, Union - -import boto3 - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -# Define label mappings -LABEL_MAPPING = {0: "SAFE", 1: "NO_SAFE"} - - -class ContentModerationTool(BuiltinTool): - sagemaker_client: Any = None - sagemaker_endpoint: str = None - - def _invoke_sagemaker(self, payload: dict, endpoint: str): - response = self.sagemaker_client.invoke_endpoint( - EndpointName=endpoint, - Body=json.dumps(payload), - ContentType="application/json", - ) - # Parse response - response_body = response["Body"].read().decode("utf8") - - json_obj = json.loads(response_body) - - # Handle nested JSON if present - if isinstance(json_obj, dict) and "body" in json_obj: - body_content = json.loads(json_obj["body"]) - prediction_result = body_content.get("prediction") - else: - prediction_result = json_obj.get("prediction") - - # Map labels and return - result = LABEL_MAPPING.get(prediction_result, "NO_SAFE") # If not found in mapping, default to NO_SAFE - return result - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - try: - if not self.sagemaker_client: - aws_region = tool_parameters.get("aws_region") - if aws_region: - self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime") - - if not self.sagemaker_endpoint: - self.sagemaker_endpoint = tool_parameters.get("sagemaker_endpoint") - - content_text = tool_parameters.get("content_text") - - payload = {"text": content_text} - - result = self._invoke_sagemaker(payload, self.sagemaker_endpoint) - - return self.create_text_message(text=result) - - except Exception as e: - return self.create_text_message(f"Exception {str(e)}") diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.yaml b/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.yaml deleted file mode 100644 index 76dcb89632f270..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.yaml +++ /dev/null @@ -1,46 +0,0 @@ -identity: - name: chinese_toxicity_detector - author: AWS - label: - en_US: Chinese Toxicity Detector - zh_Hans: 中文有害内容检测 - icon: icon.svg -description: - human: - en_US: A tool to detect Chinese toxicity - zh_Hans: 检测中文有害内容的工具 - llm: A tool that checks if Chinese content is safe for work -parameters: - - name: sagemaker_endpoint - type: string - required: true - label: - en_US: sagemaker endpoint for moderation - zh_Hans: 内容审核的SageMaker端点 - human_description: - en_US: sagemaker endpoint for content moderation - zh_Hans: 内容审核的SageMaker端点 - llm_description: sagemaker endpoint for content moderation - form: form - - name: content_text - type: string - required: true - label: - en_US: content text - zh_Hans: 待审核文本 - human_description: - en_US: text content to be moderated - zh_Hans: 需要审核的文本内容 - llm_description: text content to be moderated - form: llm - - name: aws_region - type: string - required: false - label: - en_US: region of sagemaker endpoint - zh_Hans: SageMaker 端点所在的region - human_description: - en_US: region of sagemaker endpoint - zh_Hans: SageMaker 端点所在的region - llm_description: region of sagemaker endpoint - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.py b/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.py deleted file mode 100644 index 8320bd84efa440..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.py +++ /dev/null @@ -1,79 +0,0 @@ -import json -import operator -from typing import Any, Union - -import boto3 # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SageMakerReRankTool(BuiltinTool): - sagemaker_client: Any = None - sagemaker_endpoint: str = None - - def _sagemaker_rerank(self, query_input: str, docs: list[str], rerank_endpoint: str): - inputs = [query_input] * len(docs) - response_model = self.sagemaker_client.invoke_endpoint( - EndpointName=rerank_endpoint, - Body=json.dumps({"inputs": inputs, "docs": docs}), - ContentType="application/json", - ) - json_str = response_model["Body"].read().decode("utf8") - json_obj = json.loads(json_str) - scores = json_obj["scores"] - return scores if isinstance(scores, list) else [scores] - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - line = 0 - try: - if not self.sagemaker_client: - aws_region = tool_parameters.get("aws_region") - if aws_region: - self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime") - - line = 1 - if not self.sagemaker_endpoint: - self.sagemaker_endpoint = tool_parameters.get("sagemaker_endpoint") - - line = 2 - topk = tool_parameters.get("topk", 5) - - line = 3 - query = tool_parameters.get("query", "") - if not query: - return self.create_text_message("Please input query") - - line = 4 - candidate_texts = tool_parameters.get("candidate_texts") - if not candidate_texts: - return self.create_text_message("Please input candidate_texts") - - line = 5 - candidate_docs = json.loads(candidate_texts) - docs = [item.get("content") for item in candidate_docs] - - line = 6 - scores = self._sagemaker_rerank(query_input=query, docs=docs, rerank_endpoint=self.sagemaker_endpoint) - - line = 7 - for idx in range(len(candidate_docs)): - candidate_docs[idx]["score"] = scores[idx] - - line = 8 - sorted_candidate_docs = sorted(candidate_docs, key=operator.itemgetter("score"), reverse=True) - - line = 9 - return [self.create_json_message(res) for res in sorted_candidate_docs[:topk]] - - except Exception as e: - return self.create_text_message(f"Exception {str(e)}, line : {line}") diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.yaml b/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.yaml deleted file mode 100644 index d1dfdb9f84a858..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/sagemaker_text_rerank.yaml +++ /dev/null @@ -1,82 +0,0 @@ -identity: - name: sagemaker_text_rerank - author: AWS - label: - en_US: SagemakerRerank - zh_Hans: Sagemaker重排序 - pt_BR: SagemakerRerank - icon: icon.svg -description: - human: - en_US: A tool for performing text similarity ranking. You can find deploy notebook on Github Repo - https://github.com/aws-samples/dify-aws-tool - zh_Hans: Sagemaker重排序工具, 请参考 Github Repo - https://github.com/aws-samples/dify-aws-tool上的部署脚本 - pt_BR: A tool for performing text similarity ranking. - llm: A tool for performing text similarity ranking. You can find deploy notebook on Github Repo - https://github.com/aws-samples/dify-aws-tool -parameters: - - name: sagemaker_endpoint - type: string - required: true - label: - en_US: sagemaker endpoint for reranking - zh_Hans: 重排序的SageMaker 端点 - pt_BR: sagemaker endpoint for reranking - human_description: - en_US: sagemaker endpoint for reranking - zh_Hans: 重排序的SageMaker 端点 - pt_BR: sagemaker endpoint for reranking - llm_description: sagemaker endpoint for reranking - form: form - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - pt_BR: Query string - human_description: - en_US: key words for searching - zh_Hans: 查询关键词 - pt_BR: key words for searching - llm_description: key words for searching - form: llm - - name: candidate_texts - type: string - required: true - label: - en_US: text candidates - zh_Hans: 候选文本 - pt_BR: text candidates - human_description: - en_US: searched candidates by query - zh_Hans: 查询文本搜到候选文本 - pt_BR: searched candidates by query - llm_description: searched candidates by query - form: llm - - name: topk - type: number - required: false - form: form - label: - en_US: Limit for results count - zh_Hans: 返回个数限制 - pt_BR: Limit for results count - human_description: - en_US: Limit for results count - zh_Hans: 返回个数限制 - pt_BR: Limit for results count - min: 1 - max: 10 - default: 5 - - name: aws_region - type: string - required: false - label: - en_US: region of sagemaker endpoint - zh_Hans: SageMaker 端点所在的region - pt_BR: region of sagemaker endpoint - human_description: - en_US: region of sagemaker endpoint - zh_Hans: SageMaker 端点所在的region - pt_BR: region of sagemaker endpoint - llm_description: region of sagemaker endpoint - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.py b/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.py deleted file mode 100644 index 55cff89798a4eb..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.py +++ /dev/null @@ -1,101 +0,0 @@ -import json -from enum import Enum -from typing import Any, Optional, Union - -import boto3 # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class TTSModelType(Enum): - PresetVoice = "PresetVoice" - CloneVoice = "CloneVoice" - CloneVoice_CrossLingual = "CloneVoice_CrossLingual" - InstructVoice = "InstructVoice" - - -class SageMakerTTSTool(BuiltinTool): - sagemaker_client: Any = None - sagemaker_endpoint: str | None = None - s3_client: Any = None - comprehend_client: Any = None - - def _detect_lang_code(self, content: str, map_dict: Optional[dict] = None): - map_dict = {"zh": "<|zh|>", "en": "<|en|>", "ja": "<|jp|>", "zh-TW": "<|yue|>", "ko": "<|ko|>"} - - response = self.comprehend_client.detect_dominant_language(Text=content) - language_code = response["Languages"][0]["LanguageCode"] - return map_dict.get(language_code, "<|zh|>") - - def _build_tts_payload( - self, - model_type: str, - content_text: str, - model_role: str, - prompt_text: str, - prompt_audio: str, - instruct_text: str, - ): - if model_type == TTSModelType.PresetVoice.value and model_role: - return {"tts_text": content_text, "role": model_role} - if model_type == TTSModelType.CloneVoice.value and prompt_text and prompt_audio: - return {"tts_text": content_text, "prompt_text": prompt_text, "prompt_audio": prompt_audio} - if model_type == TTSModelType.CloneVoice_CrossLingual.value and prompt_audio: - lang_tag = self._detect_lang_code(content_text) - return {"tts_text": f"{content_text}", "prompt_audio": prompt_audio, "lang_tag": lang_tag} - if model_type == TTSModelType.InstructVoice.value and instruct_text and model_role: - return {"tts_text": content_text, "role": model_role, "instruct_text": instruct_text} - - raise RuntimeError(f"Invalid params for {model_type}") - - def _invoke_sagemaker(self, payload: dict, endpoint: str): - response_model = self.sagemaker_client.invoke_endpoint( - EndpointName=endpoint, - Body=json.dumps(payload), - ContentType="application/json", - ) - json_str = response_model["Body"].read().decode("utf8") - json_obj = json.loads(json_str) - return json_obj - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - try: - if not self.sagemaker_client: - aws_region = tool_parameters.get("aws_region") - if aws_region: - self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region) - self.s3_client = boto3.client("s3", region_name=aws_region) - self.comprehend_client = boto3.client("comprehend", region_name=aws_region) - else: - self.sagemaker_client = boto3.client("sagemaker-runtime") - self.s3_client = boto3.client("s3") - self.comprehend_client = boto3.client("comprehend") - - if not self.sagemaker_endpoint: - self.sagemaker_endpoint = tool_parameters.get("sagemaker_endpoint") - - tts_text = tool_parameters.get("tts_text") - tts_infer_type = tool_parameters.get("tts_infer_type") - - voice = tool_parameters.get("voice") - mock_voice_audio = tool_parameters.get("mock_voice_audio") - mock_voice_text = tool_parameters.get("mock_voice_text") - voice_instruct_prompt = tool_parameters.get("voice_instruct_prompt") - payload = self._build_tts_payload( - tts_infer_type, tts_text, voice, mock_voice_text, mock_voice_audio, voice_instruct_prompt - ) - - result = self._invoke_sagemaker(payload, self.sagemaker_endpoint) - - return self.create_text_message(text=result["s3_presign_url"]) - - except Exception as e: - return self.create_text_message(f"Exception {str(e)}") diff --git a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.yaml b/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.yaml deleted file mode 100644 index a6a61dd4aa519a..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/sagemaker_tts.yaml +++ /dev/null @@ -1,149 +0,0 @@ -identity: - name: sagemaker_tts - author: AWS - label: - en_US: SagemakerTTS - zh_Hans: Sagemaker语音合成 - pt_BR: SagemakerTTS - icon: icon.svg -description: - human: - en_US: A tool for Speech synthesis - https://github.com/aws-samples/dify-aws-tool - zh_Hans: Sagemaker语音合成工具, 请参考 Github Repo - https://github.com/aws-samples/dify-aws-tool上的部署脚本 - pt_BR: A tool for Speech synthesis. - llm: A tool for Speech synthesis. You can find deploy notebook on Github Repo - https://github.com/aws-samples/dify-aws-tool -parameters: - - name: sagemaker_endpoint - type: string - required: true - label: - en_US: sagemaker endpoint for tts - zh_Hans: 语音生成的SageMaker端点 - pt_BR: sagemaker endpoint for tts - human_description: - en_US: sagemaker endpoint for tts - zh_Hans: 语音生成的SageMaker端点 - pt_BR: sagemaker endpoint for tts - llm_description: sagemaker endpoint for tts - form: form - - name: tts_text - type: string - required: true - label: - en_US: tts text - zh_Hans: 语音合成原文 - pt_BR: tts text - human_description: - en_US: tts text - zh_Hans: 语音合成原文 - pt_BR: tts text - llm_description: tts text - form: llm - - name: tts_infer_type - type: select - required: false - label: - en_US: tts infer type - zh_Hans: 合成方式 - pt_BR: tts infer type - human_description: - en_US: tts infer type - zh_Hans: 合成方式 - pt_BR: tts infer type - llm_description: tts infer type - options: - - value: PresetVoice - label: - en_US: preset voice - zh_Hans: 预置音色 - - value: CloneVoice - label: - en_US: clone voice - zh_Hans: 克隆音色 - - value: CloneVoice_CrossLingual - label: - en_US: clone crossLingual voice - zh_Hans: 克隆音色(跨语言) - - value: InstructVoice - label: - en_US: instruct voice - zh_Hans: 指令音色 - form: form - - name: voice - type: select - required: false - label: - en_US: preset voice - zh_Hans: 预置音色 - pt_BR: preset voice - human_description: - en_US: preset voice - zh_Hans: 预置音色 - pt_BR: preset voice - llm_description: preset voice - options: - - value: 中文男 - label: - en_US: zh-cn male - zh_Hans: 中文男 - - value: 中文女 - label: - en_US: zh-cn female - zh_Hans: 中文女 - - value: 粤语女 - label: - en_US: zh-TW female - zh_Hans: 粤语女 - form: form - - name: mock_voice_audio - type: string - required: false - label: - en_US: clone voice link - zh_Hans: 克隆音频链接 - pt_BR: clone voice link - human_description: - en_US: clone voice link - zh_Hans: 克隆音频链接 - pt_BR: clone voice link - llm_description: clone voice link - form: llm - - name: mock_voice_text - type: string - required: false - label: - en_US: text of clone voice - zh_Hans: 克隆音频对应文本 - pt_BR: text of clone voice - human_description: - en_US: text of clone voice - zh_Hans: 克隆音频对应文本 - pt_BR: text of clone voice - llm_description: text of clone voice - form: llm - - name: voice_instruct_prompt - type: string - required: false - label: - en_US: instruct prompt for voice - zh_Hans: 音色指令文本 - pt_BR: instruct prompt for voice - human_description: - en_US: instruct prompt for voice - zh_Hans: 音色指令文本 - pt_BR: instruct prompt for voice - llm_description: instruct prompt for voice - form: llm - - name: aws_region - type: string - required: false - label: - en_US: region of sagemaker endpoint - zh_Hans: SageMaker 端点所在的region - pt_BR: region of sagemaker endpoint - human_description: - en_US: region of sagemaker endpoint - zh_Hans: SageMaker 端点所在的region - pt_BR: region of sagemaker endpoint - llm_description: region of sagemaker endpoint - form: form diff --git a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.py b/api/core/tools/provider/builtin/aws/tools/transcribe_asr.py deleted file mode 100644 index 7520f6bca8b1ce..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.py +++ /dev/null @@ -1,418 +0,0 @@ -import json -import logging -import os -import re -import time -import uuid -from typing import Any, Union -from urllib.parse import urlparse - -import boto3 -import requests -from botocore.exceptions import ClientError -from requests.exceptions import RequestException - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -LanguageCodeOptions = [ - "af-ZA", - "ar-AE", - "ar-SA", - "da-DK", - "de-CH", - "de-DE", - "en-AB", - "en-AU", - "en-GB", - "en-IE", - "en-IN", - "en-US", - "en-WL", - "es-ES", - "es-US", - "fa-IR", - "fr-CA", - "fr-FR", - "he-IL", - "hi-IN", - "id-ID", - "it-IT", - "ja-JP", - "ko-KR", - "ms-MY", - "nl-NL", - "pt-BR", - "pt-PT", - "ru-RU", - "ta-IN", - "te-IN", - "tr-TR", - "zh-CN", - "zh-TW", - "th-TH", - "en-ZA", - "en-NZ", - "vi-VN", - "sv-SE", - "ab-GE", - "ast-ES", - "az-AZ", - "ba-RU", - "be-BY", - "bg-BG", - "bn-IN", - "bs-BA", - "ca-ES", - "ckb-IQ", - "ckb-IR", - "cs-CZ", - "cy-WL", - "el-GR", - "et-ET", - "eu-ES", - "fi-FI", - "gl-ES", - "gu-IN", - "ha-NG", - "hr-HR", - "hu-HU", - "hy-AM", - "is-IS", - "ka-GE", - "kab-DZ", - "kk-KZ", - "kn-IN", - "ky-KG", - "lg-IN", - "lt-LT", - "lv-LV", - "mhr-RU", - "mi-NZ", - "mk-MK", - "ml-IN", - "mn-MN", - "mr-IN", - "mt-MT", - "no-NO", - "or-IN", - "pa-IN", - "pl-PL", - "ps-AF", - "ro-RO", - "rw-RW", - "si-LK", - "sk-SK", - "sl-SI", - "so-SO", - "sr-RS", - "su-ID", - "sw-BI", - "sw-KE", - "sw-RW", - "sw-TZ", - "sw-UG", - "tl-PH", - "tt-RU", - "ug-CN", - "uk-UA", - "uz-UZ", - "wo-SN", - "zu-ZA", -] - -MediaFormat = ["mp3", "mp4", "wav", "flac", "ogg", "amr", "webm", "m4a"] - - -def is_url(text): - if not text: - return False - text = text.strip() - # Regular expression pattern for URL validation - pattern = re.compile( - r"^" # Start of the string - r"(?:http|https)://" # Protocol (http or https) - r"(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|[A-Z0-9-]{2,}\.?)|" # Domain - r"localhost|" # localhost - r"\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})" # IP address - r"(?::\d+)?" # Optional port - r"(?:/?|[/?]\S+)" # Path - r"$", # End of the string - re.IGNORECASE, - ) - return bool(pattern.match(text)) - - -def upload_file_from_url_to_s3(s3_client, url, bucket_name, s3_key=None, max_retries=3): - """ - Upload a file from a URL to an S3 bucket with retries and better error handling. - - Parameters: - - s3_client - - url (str): The URL of the file to upload - - bucket_name (str): The name of the S3 bucket - - s3_key (str): The desired key (path) in S3. If None, will use the filename from URL - - max_retries (int): Maximum number of retry attempts - - Returns: - - tuple: (bool, str) - (Success status, Message) - """ - - # Validate inputs - if not url or not bucket_name: - return False, "URL and bucket name are required" - - retry_count = 0 - while retry_count < max_retries: - try: - # Download the file from URL - response = requests.get(url, stream=True, timeout=30) - response.raise_for_status() - - # If s3_key is not provided, try to get filename from URL - if not s3_key: - parsed_url = urlparse(url) - filename = os.path.basename(parsed_url.path.split("/file-preview")[0]) - s3_key = "transcribe-files/" + filename - - # Upload the file to S3 - s3_client.upload_fileobj( - response.raw, - bucket_name, - s3_key, - ExtraArgs={ - "ContentType": response.headers.get("content-type"), - "ACL": "private", # Ensure the uploaded file is private - }, - ) - - return f"s3://{bucket_name}/{s3_key}", f"Successfully uploaded file to s3://{bucket_name}/{s3_key}" - - except RequestException as e: - retry_count += 1 - if retry_count == max_retries: - return None, f"Failed to download file from URL after {max_retries} attempts: {str(e)}" - continue - - except ClientError as e: - return None, f"AWS S3 error: {str(e)}" - - except Exception as e: - return None, f"Unexpected error: {str(e)}" - - return None, "Maximum retries exceeded" - - -class TranscribeTool(BuiltinTool): - s3_client: Any = None - transcribe_client: Any = None - - """ - Note that you must include one of LanguageCode, IdentifyLanguage, - or IdentifyMultipleLanguages in your request. - If you include more than one of these parameters, your transcription job fails. - """ - - def _transcribe_audio(self, audio_file_uri, file_type, **extra_args): - uuid_str = str(uuid.uuid4()) - job_name = f"{int(time.time())}-{uuid_str}" - try: - # Start transcription job - response = self.transcribe_client.start_transcription_job( - TranscriptionJobName=job_name, Media={"MediaFileUri": audio_file_uri}, **extra_args - ) - - # Wait for the job to complete - while True: - status = self.transcribe_client.get_transcription_job(TranscriptionJobName=job_name) - if status["TranscriptionJob"]["TranscriptionJobStatus"] in ["COMPLETED", "FAILED"]: - break - time.sleep(5) - - if status["TranscriptionJob"]["TranscriptionJobStatus"] == "COMPLETED": - return status["TranscriptionJob"]["Transcript"]["TranscriptFileUri"], None - else: - return None, f"Error: TranscriptionJobStatus:{status['TranscriptionJob']['TranscriptionJobStatus']} " - - except Exception as e: - return None, f"Error: {str(e)}" - - def _download_and_read_transcript(self, transcript_file_uri: str, max_retries: int = 3) -> tuple[str, str]: - """ - Download and read the transcript file from the given URI. - - Parameters: - - transcript_file_uri (str): The URI of the transcript file - - max_retries (int): Maximum number of retry attempts - - Returns: - - tuple: (text, error) - (Transcribed text if successful, error message if failed) - """ - retry_count = 0 - while retry_count < max_retries: - try: - # Download the transcript file - response = requests.get(transcript_file_uri, timeout=30) - response.raise_for_status() - - # Parse the JSON content - transcript_data = response.json() - - # Check if speaker labels are present and enabled - has_speaker_labels = ( - "results" in transcript_data - and "speaker_labels" in transcript_data["results"] - and "segments" in transcript_data["results"]["speaker_labels"] - ) - - if has_speaker_labels: - # Get speaker segments - segments = transcript_data["results"]["speaker_labels"]["segments"] - items = transcript_data["results"]["items"] - - # Create a mapping of start_time -> speaker_label - time_to_speaker = {} - for segment in segments: - speaker_label = segment["speaker_label"] - for item in segment["items"]: - time_to_speaker[item["start_time"]] = speaker_label - - # Build transcript with speaker labels - current_speaker = None - transcript_parts = [] - - for item in items: - # Skip non-pronunciation items (like punctuation) - if item["type"] == "punctuation": - transcript_parts.append(item["alternatives"][0]["content"]) - continue - - start_time = item["start_time"] - speaker = time_to_speaker.get(start_time) - - if speaker != current_speaker: - current_speaker = speaker - transcript_parts.append(f"\n[{speaker}]: ") - - transcript_parts.append(item["alternatives"][0]["content"]) - - return " ".join(transcript_parts).strip(), None - else: - # Extract the transcription text - # The transcript text is typically in the 'results' -> 'transcripts' array - if "results" in transcript_data and "transcripts" in transcript_data["results"]: - transcripts = transcript_data["results"]["transcripts"] - if transcripts: - # Combine all transcript segments - full_text = " ".join(t.get("transcript", "") for t in transcripts) - return full_text, None - - return None, "No transcripts found in the response" - - except requests.exceptions.RequestException as e: - retry_count += 1 - if retry_count == max_retries: - return None, f"Failed to download transcript file after {max_retries} attempts: {str(e)}" - continue - - except json.JSONDecodeError as e: - return None, f"Failed to parse transcript JSON: {str(e)}" - - except Exception as e: - return None, f"Unexpected error while processing transcript: {str(e)}" - - return None, "Maximum retries exceeded" - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - try: - if not self.transcribe_client: - aws_region = tool_parameters.get("aws_region") - if aws_region: - self.transcribe_client = boto3.client("transcribe", region_name=aws_region) - self.s3_client = boto3.client("s3", region_name=aws_region) - else: - self.transcribe_client = boto3.client("transcribe") - self.s3_client = boto3.client("s3") - - file_url = tool_parameters.get("file_url") - file_type = tool_parameters.get("file_type") - language_code = tool_parameters.get("language_code") - identify_language = tool_parameters.get("identify_language", True) - identify_multiple_languages = tool_parameters.get("identify_multiple_languages", False) - language_options_str = tool_parameters.get("language_options") - s3_bucket_name = tool_parameters.get("s3_bucket_name") - ShowSpeakerLabels = tool_parameters.get("ShowSpeakerLabels", True) - MaxSpeakerLabels = tool_parameters.get("MaxSpeakerLabels", 2) - - # Check the input params - if not s3_bucket_name: - return self.create_text_message(text="s3_bucket_name is required") - language_options = None - if language_options_str: - language_options = language_options_str.split("|") - for lang in language_options: - if lang not in LanguageCodeOptions: - return self.create_text_message( - text=f"{lang} is not supported, should be one of {LanguageCodeOptions}" - ) - if language_code and language_code not in LanguageCodeOptions: - err_msg = f"language_code:{language_code} is not supported, should be one of {LanguageCodeOptions}" - return self.create_text_message(text=err_msg) - - err_msg = f"identify_language:{identify_language}, \ - identify_multiple_languages:{identify_multiple_languages}, \ - Note that you must include one of LanguageCode, IdentifyLanguage, \ - or IdentifyMultipleLanguages in your request. \ - If you include more than one of these parameters, \ - your transcription job fails." - if not language_code: - if identify_language and identify_multiple_languages: - return self.create_text_message(text=err_msg) - else: - if identify_language or identify_multiple_languages: - return self.create_text_message(text=err_msg) - - extra_args = { - "IdentifyLanguage": identify_language, - "IdentifyMultipleLanguages": identify_multiple_languages, - } - if language_code: - extra_args["LanguageCode"] = language_code - if language_options: - extra_args["LanguageOptions"] = language_options - if ShowSpeakerLabels: - extra_args["Settings"] = {"ShowSpeakerLabels": ShowSpeakerLabels, "MaxSpeakerLabels": MaxSpeakerLabels} - - # upload to s3 bucket - s3_path_result, error = upload_file_from_url_to_s3(self.s3_client, url=file_url, bucket_name=s3_bucket_name) - if not s3_path_result: - return self.create_text_message(text=error) - - transcript_file_uri, error = self._transcribe_audio( - audio_file_uri=s3_path_result, - file_type=file_type, - **extra_args, - ) - if not transcript_file_uri: - return self.create_text_message(text=error) - - # Download and read the transcript - transcript_text, error = self._download_and_read_transcript(transcript_file_uri) - if not transcript_text: - return self.create_text_message(text=error) - - return self.create_text_message(text=transcript_text) - - except Exception as e: - return self.create_text_message(f"Exception {str(e)}") diff --git a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml b/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml deleted file mode 100644 index 0dccd615d272dd..00000000000000 --- a/api/core/tools/provider/builtin/aws/tools/transcribe_asr.yaml +++ /dev/null @@ -1,133 +0,0 @@ -identity: - name: transcribe_asr - author: AWS - label: - en_US: TranscribeASR - zh_Hans: Transcribe语音识别转录 - pt_BR: TranscribeASR - icon: icon.svg -description: - human: - en_US: A tool for ASR (Automatic Speech Recognition) - https://github.com/aws-samples/dify-aws-tool - zh_Hans: AWS 语音识别转录服务, 请参考 https://aws.amazon.com/cn/pm/transcribe/#Learn_More_About_Amazon_Transcribe - pt_BR: A tool for ASR (Automatic Speech Recognition). - llm: A tool for ASR (Automatic Speech Recognition). -parameters: - - name: file_url - type: string - required: true - label: - en_US: video or audio file url for transcribe - zh_Hans: 语音或者视频文件url - pt_BR: video or audio file url for transcribe - human_description: - en_US: video or audio file url for transcribe - zh_Hans: 语音或者视频文件url - pt_BR: video or audio file url for transcribe - llm_description: video or audio file url for transcribe - form: llm - - name: language_code - type: string - required: false - label: - en_US: Language Code - zh_Hans: 语言编码 - pt_BR: Language Code - human_description: - en_US: The language code used to create your transcription job. refer to :https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html - zh_Hans: 语言编码,例如zh-CN, en-US 可参考 https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html - pt_BR: The language code used to create your transcription job. refer to :https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html - llm_description: The language code used to create your transcription job. - form: llm - - name: identify_language - type: boolean - default: true - required: false - label: - en_US: Automactically Identify Language - zh_Hans: 自动识别语言 - pt_BR: Automactically Identify Language - human_description: - en_US: Automactically Identify Language - zh_Hans: 自动识别语言 - pt_BR: Automactically Identify Language - llm_description: Enable Automactically Identify Language - form: form - - name: identify_multiple_languages - type: boolean - required: false - label: - en_US: Automactically Identify Multiple Languages - zh_Hans: 自动识别多种语言 - pt_BR: Automactically Identify Multiple Languages - human_description: - en_US: Automactically Identify Multiple Languages - zh_Hans: 自动识别多种语言 - pt_BR: Automactically Identify Multiple Languages - llm_description: Enable Automactically Identify Multiple Languages - form: form - - name: language_options - type: string - required: false - label: - en_US: Language Options - zh_Hans: 语言种类选项 - pt_BR: Language Options - human_description: - en_US: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media - zh_Hans: 您可以指定两个或更多的语言代码来表示您认为可能出现在媒体中的语言。用｜分隔,如 zh-CN|en-US - pt_BR: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media - llm_description: Seperated by |, e.g:zh-CN|en-US, You can specify two or more language codes that represent the languages you think may be present in your media - form: llm - - name: s3_bucket_name - type: string - required: true - label: - en_US: s3 bucket name - zh_Hans: s3 存储桶名称 - pt_BR: s3 bucket name - human_description: - en_US: s3 bucket name to store transcribe files (don't add prefix s3://) - zh_Hans: s3 存储桶名称,用于存储转录文件 (不需要前缀 s3://) - pt_BR: s3 bucket name to store transcribe files (don't add prefix s3://) - llm_description: s3 bucket name to store transcribe files - form: form - - name: ShowSpeakerLabels - type: boolean - required: true - default: true - label: - en_US: ShowSpeakerLabels - zh_Hans: 显示说话人标签 - pt_BR: ShowSpeakerLabels - human_description: - en_US: Enables speaker partitioning (diarization) in your transcription output - zh_Hans: 在转录输出中启用说话人分区（说话人分离） - pt_BR: Enables speaker partitioning (diarization) in your transcription output - llm_description: Enables speaker partitioning (diarization) in your transcription output - form: form - - name: MaxSpeakerLabels - type: number - required: true - default: 2 - label: - en_US: MaxSpeakerLabels - zh_Hans: 说话人标签数量 - pt_BR: MaxSpeakerLabels - human_description: - en_US: Specify the maximum number of speakers you want to partition in your media - zh_Hans: 指定您希望在媒体中划分的最多演讲者数量。 - pt_BR: Specify the maximum number of speakers you want to partition in your media - llm_description: Specify the maximum number of speakers you want to partition in your media - form: form - - name: aws_region - type: string - required: false - label: - en_US: AWS Region - zh_Hans: AWS 区域 - human_description: - en_US: Please enter the AWS region for the transcribe service, for example 'us-east-1'. - zh_Hans: 请输入Transcribe的 AWS 区域，例如 'us-east-1'。 - llm_description: Please enter the AWS region for the transcribe service, for example 'us-east-1'. - form: form diff --git 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zLbLl~y|3xZ+!bMg6KDlstQ`LsE9X=luT3oo@8PO!kr2$F`M9(SmF!M}3q9+M(QZGza1tD^~URw_}>9N{yIVrkE?$L1_rA~fBJj@+yLKv_wW9rP(M8W`NyY!ec<^Y z|K}I~Kvv)vX9&E0+fu-s{gfSU2&RlktAWKR0)x6wP7E;9BUs{+3G;onJ6VJ_f>hsWl||9hMM725xjz?DB}_FMuS zz4!lY+0(T@=mQKcUHE$}kVx0Y|F13k?;rn$r2m)9u|yi-xN978M1mmTQ<7JcD|uiX F_&;rM#gPC2 diff --git a/api/core/tools/provider/builtin/azuredalle/azuredalle.py b/api/core/tools/provider/builtin/azuredalle/azuredalle.py deleted file mode 100644 index 1fab0d03a28ff3..00000000000000 --- a/api/core/tools/provider/builtin/azuredalle/azuredalle.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.azuredalle.tools.dalle3 import DallE3Tool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class AzureDALLEProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - DallE3Tool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={"prompt": "cute girl, blue eyes, white hair, anime style", "size": "square", "n": 1}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/azuredalle/azuredalle.yaml b/api/core/tools/provider/builtin/azuredalle/azuredalle.yaml deleted file mode 100644 index 4353e0c4862f61..00000000000000 --- a/api/core/tools/provider/builtin/azuredalle/azuredalle.yaml +++ /dev/null @@ -1,76 +0,0 @@ -identity: - author: Leslie - name: azuredalle - label: - en_US: Azure DALL-E - zh_Hans: Azure DALL-E 绘画 - pt_BR: Azure DALL-E - description: - en_US: Azure DALL-E art - zh_Hans: Azure DALL-E 绘画 - pt_BR: Azure DALL-E art - icon: icon.png - tags: - - image - - productivity -credentials_for_provider: - azure_openai_api_key: - type: secret-input - required: true - label: - en_US: API key - zh_Hans: 密钥 - pt_BR: API key - help: - en_US: Please input your Azure OpenAI API key - zh_Hans: 请输入你的 Azure OpenAI API key - pt_BR: Introduza a sua chave de API OpenAI do Azure - placeholder: - en_US: Please input your Azure OpenAI API key - zh_Hans: 请输入你的 Azure OpenAI API key - pt_BR: Introduza a sua chave de API OpenAI do Azure - azure_openai_api_model_name: - type: text-input - required: true - label: - en_US: Deployment Name - zh_Hans: 部署名称 - pt_BR: Nome da Implantação - help: - en_US: Please input the name of your Azure Openai DALL-E API deployment - zh_Hans: 请输入你的 Azure Openai DALL-E API 部署名称 - pt_BR: Insira o nome da implantação da API DALL-E do Azure Openai - placeholder: - en_US: Please input the name of your Azure Openai DALL-E API deployment - zh_Hans: 请输入你的 Azure Openai DALL-E API 部署名称 - pt_BR: Insira o nome da implantação da API DALL-E do Azure Openai - azure_openai_base_url: - type: text-input - required: true - label: - en_US: API Endpoint URL - zh_Hans: API 域名 - pt_BR: API Endpoint URL - help: - en_US: Please input your Azure OpenAI Endpoint URL, e.g. https://xxx.openai.azure.com/ - zh_Hans: 请输入你的 Azure OpenAI API域名，例如：https://xxx.openai.azure.com/ - pt_BR: Introduza a URL do Azure OpenAI Endpoint, e.g. https://xxx.openai.azure.com/ - placeholder: - en_US: Please input your Azure OpenAI Endpoint URL, e.g. https://xxx.openai.azure.com/ - zh_Hans: 请输入你的 Azure OpenAI API域名，例如：https://xxx.openai.azure.com/ - pt_BR: Introduza a URL do Azure OpenAI Endpoint, e.g. https://xxx.openai.azure.com/ - azure_openai_api_version: - type: text-input - required: true - label: - en_US: API Version - zh_Hans: API 版本 - pt_BR: API Version - help: - en_US: Please input your Azure OpenAI API Version,e.g. 2023-12-01-preview - zh_Hans: 请输入你的 Azure OpenAI API 版本，例如：2023-12-01-preview - pt_BR: Introduza a versão da API OpenAI do Azure,e.g. 2023-12-01-preview - placeholder: - en_US: Please input your Azure OpenAI API Version,e.g. 2023-12-01-preview - zh_Hans: 请输入你的 Azure OpenAI API 版本，例如：2023-12-01-preview - pt_BR: Introduza a versão da API OpenAI do Azure,e.g. 2023-12-01-preview diff --git a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py deleted file mode 100644 index cfa3cfb092803a..00000000000000 --- a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py +++ /dev/null @@ -1,83 +0,0 @@ -import random -from base64 import b64decode -from typing import Any, Union - -from openai import AzureOpenAI - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DallE3Tool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - client = AzureOpenAI( - api_version=self.runtime.credentials["azure_openai_api_version"], - azure_endpoint=self.runtime.credentials["azure_openai_base_url"], - api_key=self.runtime.credentials["azure_openai_api_key"], - ) - - SIZE_MAPPING = { - "square": "1024x1024", - "vertical": "1024x1792", - "horizontal": "1792x1024", - } - - # prompt - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - # get size - size = SIZE_MAPPING[tool_parameters.get("size", "square")] - # get n - n = tool_parameters.get("n", 1) - # get quality - quality = tool_parameters.get("quality", "standard") - if quality not in {"standard", "hd"}: - return self.create_text_message("Invalid quality") - # get style - style = tool_parameters.get("style", "vivid") - if style not in {"natural", "vivid"}: - return self.create_text_message("Invalid style") - # set extra body - seed_id = tool_parameters.get("seed_id", self._generate_random_id(8)) - extra_body = {"seed": seed_id} - - # call openapi dalle3 - model = self.runtime.credentials["azure_openai_api_model_name"] - response = client.images.generate( - prompt=prompt, - model=model, - size=size, - n=n, - extra_body=extra_body, - style=style, - quality=quality, - response_format="b64_json", - ) - - result = [] - - for image in response.data: - result.append( - self.create_blob_message( - blob=b64decode(image.b64_json), - meta={"mime_type": "image/png"}, - save_as=self.VariableKey.IMAGE.value, - ) - ) - result.append(self.create_text_message(f"\nGenerate image source to Seed ID: {seed_id}")) - - return result - - @staticmethod - def _generate_random_id(length=8): - characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789" - random_id = "".join(random.choices(characters, k=length)) - return random_id diff --git a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml deleted file mode 100644 index e256748e8f7188..00000000000000 --- a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml +++ /dev/null @@ -1,136 +0,0 @@ -identity: - name: azure_dalle3 - author: Leslie - label: - en_US: Azure DALL-E 3 - zh_Hans: Azure DALL-E 3 绘画 - pt_BR: Azure DALL-E 3 - description: - en_US: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources - zh_Hans: DALL-E 3 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像，相比于DallE 2， DallE 3拥有更强的绘画能力，但会消耗更多的资源 - pt_BR: DALL-E 3 é uma poderosa ferramenta de desenho que pode desenhar a imagem que você deseja com base em seu prompt, em comparação com DallE 2, DallE 3 tem uma capacidade de desenho mais forte, mas consumirá mais recursos -description: - human: - en_US: DALL-E is a text to image tool - zh_Hans: DALL-E 是一个文本到图像的工具 - pt_BR: DALL-E é uma ferramenta de texto para imagem - llm: DALL-E is a tool used to generate images from text -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt, you can check the official documentation of DallE 3 - zh_Hans: 图像提示词，您可以查看 DallE 3 的官方文档 - pt_BR: Imagem prompt, você pode verificar a documentação oficial do DallE 3 - llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed - form: llm - - name: seed_id - type: string - required: false - label: - en_US: Seed ID - zh_Hans: 种子ID - pt_BR: ID da semente - human_description: - en_US: Image generation seed ID to ensure consistency of series generated images - zh_Hans: 图像生成种子ID，确保系列生成图像的一致性 - pt_BR: ID de semente de geração de imagem para garantir a consistência das imagens geradas em série - llm_description: If the user requests image consistency, extract the seed ID from the user's question or context.The seed id consists of an 8-bit string containing uppercase and lowercase letters and numbers - form: llm - - name: size - type: select - required: true - human_description: - en_US: selecting the image size - zh_Hans: 选择图像大小 - pt_BR: seleccionar o tamanho da imagem - label: - en_US: Image size - zh_Hans: 图像大小 - pt_BR: Tamanho da imagem - form: form - options: - - value: square - label: - en_US: Squre(1024x1024) - zh_Hans: 方(1024x1024) - pt_BR: Squire(1024x1024) - - value: vertical - label: - en_US: Vertical(1024x1792) - zh_Hans: 竖屏(1024x1792) - pt_BR: Vertical(1024x1792) - - value: horizontal - label: - en_US: Horizontal(1792x1024) - zh_Hans: 横屏(1792x1024) - pt_BR: Horizontal(1792x1024) - default: square - - name: n - type: number - required: true - human_description: - en_US: selecting the number of images - zh_Hans: 选择图像数量 - pt_BR: seleccionar o número de imagens - label: - en_US: Number of images - zh_Hans: 图像数量 - pt_BR: Número de imagens - form: form - min: 1 - max: 1 - default: 1 - - name: quality - type: select - required: true - human_description: - en_US: selecting the image quality - zh_Hans: 选择图像质量 - pt_BR: seleccionar a qualidade da imagem - label: - en_US: Image quality - zh_Hans: 图像质量 - pt_BR: Qualidade da imagem - form: form - options: - - value: standard - label: - en_US: Standard - zh_Hans: 标准 - pt_BR: Normal - - value: hd - label: - en_US: HD - zh_Hans: 高清 - pt_BR: HD - default: standard - - name: style - type: select - required: true - human_description: - en_US: selecting the image style - zh_Hans: 选择图像风格 - pt_BR: seleccionar o estilo da imagem - label: - en_US: Image style - zh_Hans: 图像风格 - pt_BR: Estilo da imagem - form: form - options: - - value: vivid - label: - en_US: Vivid - zh_Hans: 生动 - pt_BR: Vívido - - value: natural - label: - en_US: Natural - zh_Hans: 自然 - pt_BR: Natural - default: vivid diff --git a/api/core/tools/provider/builtin/baidu_translate/_assets/icon.png b/api/core/tools/provider/builtin/baidu_translate/_assets/icon.png deleted file mode 100644 index 8eb8f21513ba7d45de8204bfe64aa3cc1fd7fc26..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 16676 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z0*rt;MMwc|uD-z3)cWvFKTXTAN!973e-@zbb0LJQ2V}r%DUMr(g7QM%no%M6M%}s5 meP>v*b~vM6)Xh5kMgEP=YCOTKS@X~9cLf<0={iZ%(EkGst+QnS diff --git a/api/core/tools/provider/builtin/baidu_translate/_baidu_translate_tool_base.py b/api/core/tools/provider/builtin/baidu_translate/_baidu_translate_tool_base.py deleted file mode 100644 index ce907c3c616e07..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/_baidu_translate_tool_base.py +++ /dev/null @@ -1,11 +0,0 @@ -from hashlib import md5 - - -class BaiduTranslateToolBase: - def _get_sign(self, appid, secret, salt, query): - """ - get baidu translate sign - """ - # concatenate the string in the order of appid+q+salt+secret - str = appid + query + salt + secret - return md5(str.encode("utf-8")).hexdigest() diff --git a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.py b/api/core/tools/provider/builtin/baidu_translate/baidu_translate.py deleted file mode 100644 index cccd2f8c8fc478..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.baidu_translate.tools.translate import BaiduTranslateTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class BaiduTranslateProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - BaiduTranslateTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke(user_id="", tool_parameters={"q": "这是一段测试文本", "from": "auto", "to": "en"}) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.yaml b/api/core/tools/provider/builtin/baidu_translate/baidu_translate.yaml deleted file mode 100644 index 06dadeeefc9cde..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/baidu_translate.yaml +++ /dev/null @@ -1,39 +0,0 @@ -identity: - author: Xiao Ley - name: baidu_translate - label: - en_US: Baidu Translate - zh_Hans: 百度翻译 - description: - en_US: Translate text using Baidu - zh_Hans: 使用百度进行翻译 - icon: icon.png - tags: - - utilities -credentials_for_provider: - appid: - type: secret-input - required: true - label: - en_US: Baidu translate appid - zh_Hans: Baidu translate appid - placeholder: - en_US: Please input your Baidu translate appid - zh_Hans: 请输入你的百度翻译 appid - help: - en_US: Get your Baidu translate appid from Baidu translate - zh_Hans: 从百度翻译开放平台获取你的 appid - url: https://api.fanyi.baidu.com - secret: - type: secret-input - required: true - label: - en_US: Baidu translate secret - zh_Hans: Baidu translate secret - placeholder: - en_US: Please input your Baidu translate secret - zh_Hans: 请输入你的百度翻译 secret - help: - en_US: Get your Baidu translate secret from Baidu translate - zh_Hans: 从百度翻译开放平台获取你的 secret - url: https://api.fanyi.baidu.com diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py b/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py deleted file mode 100644 index ff5cf32ddc7525..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.py +++ /dev/null @@ -1,78 +0,0 @@ -import random -from hashlib import md5 -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.baidu_translate._baidu_translate_tool_base import BaiduTranslateToolBase -from core.tools.tool.builtin_tool import BuiltinTool - - -class BaiduFieldTranslateTool(BuiltinTool, BaiduTranslateToolBase): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - BAIDU_FIELD_TRANSLATE_URL = "https://fanyi-api.baidu.com/api/trans/vip/fieldtranslate" - - appid = self.runtime.credentials.get("appid", "") - if not appid: - raise ValueError("invalid baidu translate appid") - - secret = self.runtime.credentials.get("secret", "") - if not secret: - raise ValueError("invalid baidu translate secret") - - q = tool_parameters.get("q", "") - if not q: - raise ValueError("Please input text to translate") - - from_ = tool_parameters.get("from", "") - if not from_: - raise ValueError("Please select source language") - - to = tool_parameters.get("to", "") - if not to: - raise ValueError("Please select destination language") - - domain = tool_parameters.get("domain", "") - if not domain: - raise ValueError("Please select domain") - - salt = str(random.randint(32768, 16777215)) - sign = self._get_sign(appid, secret, salt, q, domain) - - headers = {"Content-Type": "application/x-www-form-urlencoded"} - params = { - "q": q, - "from": from_, - "to": to, - "appid": appid, - "salt": salt, - "domain": domain, - "sign": sign, - "needIntervene": 1, - } - try: - response = requests.post(BAIDU_FIELD_TRANSLATE_URL, headers=headers, data=params) - result = response.json() - - if "trans_result" in result: - result_text = result["trans_result"][0]["dst"] - else: - result_text = f"{result['error_code']}: {result['error_msg']}" - - return self.create_text_message(str(result_text)) - except requests.RequestException as e: - raise ValueError(f"Translation service error: {e}") - except Exception: - raise ValueError("Translation service error, please check the network") - - def _get_sign(self, appid, secret, salt, query, domain): - str = appid + query + salt + domain + secret - return md5(str.encode("utf-8")).hexdigest() diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.yaml b/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.yaml deleted file mode 100644 index de51fddbaea422..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/tools/fieldtranslate.yaml +++ /dev/null @@ -1,123 +0,0 @@ -identity: - name: field_translate - author: Xiao Ley - label: - en_US: Field translate - zh_Hans: 百度领域翻译 -description: - human: - en_US: A tool for Baidu Field translate (Currently, the fields of "novel" and "wiki" only support Chinese to English translation. If the language direction is set to English to Chinese, the default output will be a universal translation result). - zh_Hans: 百度领域翻译，提供多种领域的文本翻译（目前“网络文学领域”和“人文社科领域”仅支持中到英，如设置语言方向为英到中，则默认输出通用翻译结果） - llm: A tool for Baidu Field translate -parameters: - - name: q - type: string - required: true - label: - en_US: Text content - zh_Hans: 文本内容 - human_description: - en_US: Text content to be translated - zh_Hans: 需要翻译的文本内容 - llm_description: Text content to be translated - form: llm - - name: from - type: select - required: true - label: - en_US: source language - zh_Hans: 源语言 - human_description: - en_US: The source language of the input text - zh_Hans: 输入的文本的源语言 - default: auto - form: form - options: - - value: auto - label: - en_US: auto - zh_Hans: 自动检测 - - value: zh - label: - en_US: Chinese - zh_Hans: 中文 - - value: en - label: - en_US: English - zh_Hans: 英语 - - name: to - type: select - required: true - label: - en_US: destination language - zh_Hans: 目标语言 - human_description: - en_US: The destination language of the input text - zh_Hans: 输入文本的目标语言 - default: en - form: form - options: - - value: zh - label: - en_US: Chinese - zh_Hans: 中文 - - value: en - label: - en_US: English - zh_Hans: 英语 - - name: domain - type: select - required: true - label: - en_US: domain - zh_Hans: 领域 - human_description: - en_US: The domain of the input text - zh_Hans: 输入文本的领域 - default: novel - form: form - options: - - value: it - label: - en_US: it - zh_Hans: 信息技术领域 - - value: finance - label: - en_US: finance - zh_Hans: 金融财经领域 - - value: machinery - label: - en_US: machinery - zh_Hans: 机械制造领域 - - value: senimed - label: - en_US: senimed - zh_Hans: 生物医药领域 - - value: novel - label: - en_US: novel (only support Chinese to English translation) - zh_Hans: 网络文学领域（仅支持中到英） - - value: academic - label: - en_US: academic - zh_Hans: 学术论文领域 - - value: aerospace - label: - en_US: aerospace - zh_Hans: 航空航天领域 - - value: wiki - label: - en_US: wiki (only support Chinese to English translation) - zh_Hans: 人文社科领域（仅支持中到英） - - value: news - label: - en_US: news - zh_Hans: 新闻咨询领域 - - value: law - label: - en_US: law - zh_Hans: 法律法规领域 - - value: contract - label: - en_US: contract - zh_Hans: 合同领域 diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/language.py b/api/core/tools/provider/builtin/baidu_translate/tools/language.py deleted file mode 100644 index b7fd692b7d1904..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/tools/language.py +++ /dev/null @@ -1,95 +0,0 @@ -import random -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.baidu_translate._baidu_translate_tool_base import BaiduTranslateToolBase -from core.tools.tool.builtin_tool import BuiltinTool - - -class BaiduLanguageTool(BuiltinTool, BaiduTranslateToolBase): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - BAIDU_LANGUAGE_URL = "https://fanyi-api.baidu.com/api/trans/vip/language" - - appid = self.runtime.credentials.get("appid", "") - if not appid: - raise ValueError("invalid baidu translate appid") - - secret = self.runtime.credentials.get("secret", "") - if not secret: - raise ValueError("invalid baidu translate secret") - - q = tool_parameters.get("q", "") - if not q: - raise ValueError("Please input text to translate") - - description_language = tool_parameters.get("description_language", "English") - - salt = str(random.randint(32768, 16777215)) - sign = self._get_sign(appid, secret, salt, q) - - headers = {"Content-Type": "application/x-www-form-urlencoded"} - params = { - "q": q, - "appid": appid, - "salt": salt, - "sign": sign, - } - - try: - response = requests.post(BAIDU_LANGUAGE_URL, params=params, headers=headers) - result = response.json() - if "error_code" not in result: - raise ValueError("Translation service error, please check the network") - - result_text = "" - if result["error_code"] != 0: - result_text = f"{result['error_code']}: {result['error_msg']}" - else: - result_text = result["data"]["src"] - result_text = self.mapping_result(description_language, result_text) - - return self.create_text_message(result_text) - except requests.RequestException as e: - raise ValueError(f"Translation service error: {e}") - except Exception: - raise ValueError("Translation service error, please check the network") - - def mapping_result(self, description_language: str, result: str) -> str: - """ - mapping result - """ - mapping = { - "English": { - "zh": "Chinese", - "en": "English", - "jp": "Japanese", - "kor": "Korean", - "th": "Thai", - "vie": "Vietnamese", - "ru": "Russian", - }, - "Chinese": { - "zh": "中文", - "en": "英文", - "jp": "日文", - "kor": "韩文", - "th": "泰语", - "vie": "越南语", - "ru": "俄语", - }, - } - - language_mapping = mapping.get(description_language) - if not language_mapping: - return result - - return language_mapping.get(result, result) diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/language.yaml b/api/core/tools/provider/builtin/baidu_translate/tools/language.yaml deleted file mode 100644 index 60cca2e288a622..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/tools/language.yaml +++ /dev/null @@ -1,43 +0,0 @@ -identity: - name: language - author: Xiao Ley - label: - en_US: Baidu Language - zh_Hans: 百度语种识别 -description: - human: - en_US: A tool for Baidu Language, support Chinese, English, Japanese, Korean, Thai, Vietnamese and Russian - zh_Hans: 使用百度进行语种识别，支持的语种：中文、英语、日语、韩语、泰语、越南语和俄语 - llm: A tool for Baidu Language -parameters: - - name: q - type: string - required: true - label: - en_US: Text content - zh_Hans: 文本内容 - human_description: - en_US: Text content to be recognized - zh_Hans: 需要识别语言的文本内容 - llm_description: Text content to be recognized - form: llm - - name: description_language - type: select - required: true - label: - en_US: Description language - zh_Hans: 描述语言 - human_description: - en_US: Describe the language used to identify the results - zh_Hans: 描述识别结果所用的语言 - default: Chinese - form: form - options: - - value: Chinese - label: - en_US: Chinese - zh_Hans: 中文 - - value: English - label: - en_US: English - zh_Hans: 英语 diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/translate.py b/api/core/tools/provider/builtin/baidu_translate/tools/translate.py deleted file mode 100644 index 0d25466a7060fc..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/tools/translate.py +++ /dev/null @@ -1,67 +0,0 @@ -import random -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.baidu_translate._baidu_translate_tool_base import BaiduTranslateToolBase -from core.tools.tool.builtin_tool import BuiltinTool - - -class BaiduTranslateTool(BuiltinTool, BaiduTranslateToolBase): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - BAIDU_TRANSLATE_URL = "https://fanyi-api.baidu.com/api/trans/vip/translate" - - appid = self.runtime.credentials.get("appid", "") - if not appid: - raise ValueError("invalid baidu translate appid") - - secret = self.runtime.credentials.get("secret", "") - if not secret: - raise ValueError("invalid baidu translate secret") - - q = tool_parameters.get("q", "") - if not q: - raise ValueError("Please input text to translate") - - from_ = tool_parameters.get("from", "") - if not from_: - raise ValueError("Please select source language") - - to = tool_parameters.get("to", "") - if not to: - raise ValueError("Please select destination language") - - salt = str(random.randint(32768, 16777215)) - sign = self._get_sign(appid, secret, salt, q) - - headers = {"Content-Type": "application/x-www-form-urlencoded"} - params = { - "q": q, - "from": from_, - "to": to, - "appid": appid, - "salt": salt, - "sign": sign, - } - try: - response = requests.post(BAIDU_TRANSLATE_URL, params=params, headers=headers) - result = response.json() - - if "trans_result" in result: - result_text = result["trans_result"][0]["dst"] - else: - result_text = f"{result['error_code']}: {result['error_msg']}" - - return self.create_text_message(str(result_text)) - except requests.RequestException as e: - raise ValueError(f"Translation service error: {e}") - except Exception: - raise ValueError("Translation service error, please check the network") diff --git a/api/core/tools/provider/builtin/baidu_translate/tools/translate.yaml b/api/core/tools/provider/builtin/baidu_translate/tools/translate.yaml deleted file mode 100644 index c8ff32cb6bb1f1..00000000000000 --- a/api/core/tools/provider/builtin/baidu_translate/tools/translate.yaml +++ /dev/null @@ -1,275 +0,0 @@ -identity: - name: translate - author: Xiao Ley - label: - en_US: Translate - zh_Hans: 百度翻译 -description: - human: - en_US: A tool for Baidu Translate - zh_Hans: 百度翻译 - llm: A tool for Baidu Translate -parameters: - - name: q - type: string - required: true - label: - en_US: Text content - zh_Hans: 文本内容 - human_description: - en_US: Text content to be translated - zh_Hans: 需要翻译的文本内容 - llm_description: Text content to be translated - form: llm - - name: from - type: select - required: true - label: - en_US: source language - zh_Hans: 源语言 - human_description: - en_US: The source language of the input text - zh_Hans: 输入的文本的源语言 - default: auto - form: form - options: - - value: auto - label: - en_US: auto - zh_Hans: 自动检测 - - value: zh - label: - en_US: Chinese - zh_Hans: 中文 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: cht - label: - en_US: Traditional Chinese - zh_Hans: 繁体中文 - - value: yue - label: - en_US: Yue - zh_Hans: 粤语 - - value: wyw - label: - en_US: Wyw - zh_Hans: 文言文 - - value: jp - label: - en_US: Japanese - zh_Hans: 日语 - - value: kor - label: - en_US: Korean - zh_Hans: 韩语 - - value: fra - label: - en_US: French - zh_Hans: 法语 - - value: spa - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: ara - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: pt - label: - en_US: Portuguese - zh_Hans: 葡萄牙语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: bul - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: est - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: dan - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: fin - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: rom - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: slo - label: - en_US: Slovak - zh_Hans: 斯洛文尼亚语 - - value: swe - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: vie - label: - en_US: Vietnamese - zh_Hans: 越南语 - - name: to - type: select - required: true - label: - en_US: destination language - zh_Hans: 目标语言 - human_description: - en_US: The destination language of the input text - zh_Hans: 输入文本的目标语言 - default: en - form: form - options: - - value: zh - label: - en_US: Chinese - zh_Hans: 中文 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: cht - label: - en_US: Traditional Chinese - zh_Hans: 繁体中文 - - value: yue - label: - en_US: Yue - zh_Hans: 粤语 - - value: wyw - label: - en_US: Wyw - zh_Hans: 文言文 - - value: jp - label: - en_US: Japanese - zh_Hans: 日语 - - value: kor - label: - en_US: Korean - zh_Hans: 韩语 - - value: fra - label: - en_US: French - zh_Hans: 法语 - - value: spa - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: ara - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: pt - label: - en_US: Portuguese - zh_Hans: 葡萄牙语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: bul - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: est - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: dan - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: fin - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: rom - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: slo - label: - en_US: Slovak - zh_Hans: 斯洛文尼亚语 - - value: swe - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: vie - label: - en_US: Vietnamese - zh_Hans: 越南语 diff --git a/api/core/tools/provider/builtin/bing/_assets/icon.svg b/api/core/tools/provider/builtin/bing/_assets/icon.svg deleted file mode 100644 index a94de7971d35b7..00000000000000 --- a/api/core/tools/provider/builtin/bing/_assets/icon.svg +++ /dev/null @@ -1,40 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/bing/bing.py b/api/core/tools/provider/builtin/bing/bing.py deleted file mode 100644 index c71128be4a784f..00000000000000 --- a/api/core/tools/provider/builtin/bing/bing.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.bing.tools.bing_web_search import BingSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class BingProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - BingSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).validate_credentials( - credentials=credentials, - tool_parameters={ - "query": "test", - "result_type": "link", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/bing/bing.yaml b/api/core/tools/provider/builtin/bing/bing.yaml deleted file mode 100644 index 1ab17d5294b37c..00000000000000 --- a/api/core/tools/provider/builtin/bing/bing.yaml +++ /dev/null @@ -1,107 +0,0 @@ -identity: - author: Dify - name: bing - label: - en_US: Bing - zh_Hans: Bing - pt_BR: Bing - description: - en_US: Bing Search - zh_Hans: Bing 搜索 - pt_BR: Bing Search - icon: icon.svg - tags: - - search -credentials_for_provider: - subscription_key: - type: secret-input - required: true - label: - en_US: Bing subscription key - zh_Hans: Bing subscription key - pt_BR: Bing subscription key - placeholder: - en_US: Please input your Bing subscription key - zh_Hans: 请输入你的 Bing subscription key - pt_BR: Please input your Bing subscription key - help: - en_US: Get your Bing subscription key from Bing - zh_Hans: 从 Bing 获取您的 Bing subscription key - pt_BR: Get your Bing subscription key from Bing - url: https://www.microsoft.com/cognitive-services/en-us/bing-web-search-api - server_url: - type: text-input - required: false - label: - en_US: Bing endpoint - zh_Hans: Bing endpoint - pt_BR: Bing endpoint - placeholder: - en_US: Please input your Bing endpoint - zh_Hans: 请输入你的 Bing 端点 - pt_BR: Please input your Bing endpoint - help: - en_US: An endpoint is like "https://api.bing.microsoft.com/v7.0/search" - zh_Hans: 例如 "https://api.bing.microsoft.com/v7.0/search" - pt_BR: An endpoint is like "https://api.bing.microsoft.com/v7.0/search" - default: https://api.bing.microsoft.com/v7.0/search - allow_entities: - type: boolean - required: false - label: - en_US: Allow Entities Search - zh_Hans: 支持实体搜索 - pt_BR: Allow Entities Search - help: - en_US: Does your subscription plan allow entity search - zh_Hans: 您的订阅计划是否支持实体搜索 - pt_BR: Does your subscription plan allow entity search - default: true - allow_web_pages: - type: boolean - required: false - label: - en_US: Allow Web Pages Search - zh_Hans: 支持网页搜索 - pt_BR: Allow Web Pages Search - help: - en_US: Does your subscription plan allow web pages search - zh_Hans: 您的订阅计划是否支持网页搜索 - pt_BR: Does your subscription plan allow web pages search - default: true - allow_computation: - type: boolean - required: false - label: - en_US: Allow Computation Search - zh_Hans: 支持计算搜索 - pt_BR: Allow Computation Search - help: - en_US: Does your subscription plan allow computation search - zh_Hans: 您的订阅计划是否支持计算搜索 - pt_BR: Does your subscription plan allow computation search - default: false - allow_news: - type: boolean - required: false - label: - en_US: Allow News Search - zh_Hans: 支持新闻搜索 - pt_BR: Allow News Search - help: - en_US: Does your subscription plan allow news search - zh_Hans: 您的订阅计划是否支持新闻搜索 - pt_BR: Does your subscription plan allow news search - default: false - allow_related_searches: - type: boolean - required: false - label: - en_US: Allow Related Searches - zh_Hans: 支持相关搜索 - pt_BR: Allow Related Searches - help: - en_US: Does your subscription plan allow related searches - zh_Hans: 您的订阅计划是否支持相关搜索 - pt_BR: Does your subscription plan allow related searches - default: false diff --git a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py b/api/core/tools/provider/builtin/bing/tools/bing_web_search.py deleted file mode 100644 index 0de693698363f8..00000000000000 --- a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py +++ /dev/null @@ -1,237 +0,0 @@ -from typing import Any, Union -from urllib.parse import quote - -from requests import get - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class BingSearchTool(BuiltinTool): - url: str = "https://api.bing.microsoft.com/v7.0/search" - - def _invoke_bing( - self, - user_id: str, - server_url: str, - subscription_key: str, - query: str, - limit: int, - result_type: str, - market: str, - lang: str, - filters: list[str], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke bing search - """ - market_code = f"{lang}-{market}" - accept_language = f"{lang},{market_code};q=0.9" - headers = {"Ocp-Apim-Subscription-Key": subscription_key, "Accept-Language": accept_language} - - query = quote(query) - server_url = f"{server_url}?q={query}&mkt={market_code}&count={limit}&responseFilter={','.join(filters)}" - response = get(server_url, headers=headers) - - if response.status_code != 200: - raise Exception(f"Error {response.status_code}: {response.text}") - - response = response.json() - search_results = response["webPages"]["value"][:limit] if "webPages" in response else [] - related_searches = response["relatedSearches"]["value"] if "relatedSearches" in response else [] - entities = response["entities"]["value"] if "entities" in response else [] - news = response["news"]["value"] if "news" in response else [] - computation = response["computation"]["value"] if "computation" in response else None - - if result_type == "link": - results = [] - if search_results: - for result in search_results: - url = f": {result['url']}" if "url" in result else "" - results.append(self.create_text_message(text=f"{result['name']}{url}")) - - if entities: - for entity in entities: - url = f": {entity['url']}" if "url" in entity else "" - results.append(self.create_text_message(text=f"{entity.get('name', '')}{url}")) - - if news: - for news_item in news: - url = f": {news_item['url']}" if "url" in news_item else "" - results.append(self.create_text_message(text=f"{news_item.get('name', '')}{url}")) - - if related_searches: - for related in related_searches: - url = f": {related['displayText']}" if "displayText" in related else "" - results.append(self.create_text_message(text=f"{related.get('displayText', '')}{url}")) - - return results - elif result_type == "json": - result = {} - if search_results: - result["organic"] = [ - { - "title": item.get("name", ""), - "snippet": item.get("snippet", ""), - "url": item.get("url", ""), - "siteName": item.get("siteName", ""), - } - for item in search_results - ] - - if computation and "expression" in computation and "value" in computation: - result["computation"] = {"expression": computation["expression"], "value": computation["value"]} - - if entities: - result["entities"] = [ - { - "name": item.get("name", ""), - "url": item.get("url", ""), - "description": item.get("description", ""), - } - for item in entities - ] - - if news: - result["news"] = [{"name": item.get("name", ""), "url": item.get("url", "")} for item in news] - - if related_searches: - result["related searches"] = [ - {"displayText": item.get("displayText", ""), "url": item.get("webSearchUrl", "")} for item in news - ] - - return self.create_json_message(result) - else: - # construct text - text = "" - if search_results: - for i, result in enumerate(search_results): - text += f"{i + 1}: {result.get('name', '')} - {result.get('snippet', '')}\n" - - if computation and "expression" in computation and "value" in computation: - text += "\nComputation:\n" - text += f"{computation['expression']} = {computation['value']}\n" - - if entities: - text += "\nEntities:\n" - for entity in entities: - url = f"- {entity['url']}" if "url" in entity else "" - text += f"{entity.get('name', '')}{url}\n" - - if news: - text += "\nNews:\n" - for news_item in news: - url = f"- {news_item['url']}" if "url" in news_item else "" - text += f"{news_item.get('name', '')}{url}\n" - - if related_searches: - text += "\n\nRelated Searches:\n" - for related in related_searches: - url = f"- {related['webSearchUrl']}" if "webSearchUrl" in related else "" - text += f"{related.get('displayText', '')}{url}\n" - - return self.create_text_message(text=self.summary(user_id=user_id, content=text)) - - def validate_credentials(self, credentials: dict[str, Any], tool_parameters: dict[str, Any]) -> None: - key = credentials.get("subscription_key") - if not key: - raise Exception("subscription_key is required") - - server_url = credentials.get("server_url") - if not server_url: - server_url = self.url - - query = tool_parameters.get("query") - if not query: - raise Exception("query is required") - - limit = min(tool_parameters.get("limit", 5), 10) - result_type = tool_parameters.get("result_type", "text") or "text" - - market = tool_parameters.get("market", "US") - lang = tool_parameters.get("language", "en") - filter = [] - - if credentials.get("allow_entities", False): - filter.append("Entities") - - if credentials.get("allow_computation", False): - filter.append("Computation") - - if credentials.get("allow_news", False): - filter.append("News") - - if credentials.get("allow_related_searches", False): - filter.append("RelatedSearches") - - if credentials.get("allow_web_pages", False): - filter.append("WebPages") - - if not filter: - raise Exception("At least one filter is required") - - self._invoke_bing( - user_id="test", - server_url=server_url, - subscription_key=key, - query=query, - limit=limit, - result_type=result_type, - market=market, - lang=lang, - filters=filter, - ) - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - - key = self.runtime.credentials.get("subscription_key", None) - if not key: - raise Exception("subscription_key is required") - - server_url = self.runtime.credentials.get("server_url", None) - if not server_url: - server_url = self.url - - query = tool_parameters.get("query") - if not query: - raise Exception("query is required") - - limit = min(tool_parameters.get("limit", 5), 10) - result_type = tool_parameters.get("result_type", "text") or "text" - - market = tool_parameters.get("market", "US") - lang = tool_parameters.get("language", "en") - filter = [] - - if tool_parameters.get("enable_computation", False): - filter.append("Computation") - if tool_parameters.get("enable_entities", False): - filter.append("Entities") - if tool_parameters.get("enable_news", False): - filter.append("News") - if tool_parameters.get("enable_related_search", False): - filter.append("RelatedSearches") - if tool_parameters.get("enable_webpages", False): - filter.append("WebPages") - - if not filter: - raise Exception("At least one filter is required") - - return self._invoke_bing( - user_id=user_id, - server_url=server_url, - subscription_key=key, - query=query, - limit=limit, - result_type=result_type, - market=market, - lang=lang, - filters=filter, - ) diff --git a/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml b/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml deleted file mode 100644 index f5c932c37b3014..00000000000000 --- a/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml +++ /dev/null @@ -1,589 +0,0 @@ -identity: - name: bing_web_search - author: Dify - label: - en_US: BingWebSearch - zh_Hans: 必应网页搜索 - pt_BR: BingWebSearch -description: - human: - en_US: A tool for performing a Bing SERP search and extracting snippets and webpages.Input should be a search query. - zh_Hans: 一个用于执行 Bing SERP 搜索并提取片段和网页的工具。输入应该是一个搜索查询。 - pt_BR: A tool for performing a Bing SERP search and extracting snippets and webpages.Input should be a search query. - llm: A tool for performing a Bing SERP search and extracting snippets and webpages.Input should be a search query. -parameters: - - name: query - type: string - required: true - form: llm - label: - en_US: Query string - zh_Hans: 查询语句 - pt_BR: Query string - human_description: - en_US: used for searching - zh_Hans: 用于搜索网页内容 - pt_BR: used for searching - llm_description: key words for searching - - name: enable_computation - type: boolean - required: false - form: form - label: - en_US: Enable computation - zh_Hans: 启用计算 - pt_BR: Enable computation - human_description: - en_US: enable computation - zh_Hans: 启用计算 - pt_BR: enable computation - default: false - - name: enable_entities - type: boolean - required: false - form: form - label: - en_US: Enable entities - zh_Hans: 启用实体搜索 - pt_BR: Enable entities - human_description: - en_US: enable entities - zh_Hans: 启用实体搜索 - pt_BR: enable entities - default: true - - name: enable_news - type: boolean - required: false - form: form - label: - en_US: Enable news - zh_Hans: 启用新闻搜索 - pt_BR: Enable news - human_description: - en_US: enable news - zh_Hans: 启用新闻搜索 - pt_BR: enable news - default: false - - name: enable_related_search - type: boolean - required: false - form: form - label: - en_US: Enable related search - zh_Hans: 启用相关搜索 - pt_BR: Enable related search - human_description: - en_US: enable related search - zh_Hans: 启用相关搜索 - pt_BR: enable related search - default: false - - name: enable_webpages - type: boolean - required: false - form: form - label: - en_US: Enable webpages search - zh_Hans: 启用网页搜索 - pt_BR: Enable webpages search - human_description: - en_US: enable webpages search - zh_Hans: 启用网页搜索 - pt_BR: enable webpages search - default: true - - name: limit - type: number - required: true - form: form - label: - en_US: Limit for results length - zh_Hans: 返回长度限制 - pt_BR: Limit for results length - human_description: - en_US: limit the number of results - zh_Hans: 限制返回结果的数量 - pt_BR: limit the number of results - min: 1 - max: 10 - default: 5 - - name: result_type - type: select - required: true - label: - en_US: result type - zh_Hans: 结果类型 - pt_BR: result type - human_description: - en_US: return a list of links, json or texts - zh_Hans: 返回一个列表，内容是链接、json还是纯文本 - pt_BR: return a list of links, json or texts - default: text - options: - - value: link - label: - en_US: Link - zh_Hans: 链接 - pt_BR: Link - - value: json - label: - en_US: JSON - zh_Hans: JSON - pt_BR: JSON - - value: text - label: - en_US: Text - zh_Hans: 文本 - pt_BR: Text - form: form - - name: market - type: select - label: - en_US: Market - zh_Hans: 市场 - pt_BR: Market - human_description: - en_US: market takes responsibility for the region - zh_Hans: 市场决定了搜索结果的地区 - pt_BR: market takes responsibility for the region - required: false - form: form - default: US - options: - - value: AR - label: - en_US: Argentina - zh_Hans: 阿根廷 - pt_BR: Argentina - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: AT - label: - en_US: Austria - zh_Hans: 奥地利 - pt_BR: Austria - - value: BE - label: - en_US: Belgium - zh_Hans: 比利时 - pt_BR: Belgium - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: CL - label: - en_US: Chile - zh_Hans: 智利 - pt_BR: Chile - - value: CO - label: - en_US: Colombia - zh_Hans: 哥伦比亚 - pt_BR: Colombia - - value: CN - label: - en_US: China - zh_Hans: 中国 - pt_BR: China - - value: CZ - label: - en_US: Czech Republic - zh_Hans: 捷克共和国 - pt_BR: Czech Republic - - value: DK - label: - en_US: Denmark - zh_Hans: 丹麦 - pt_BR: Denmark - - value: FI - label: - en_US: Finland - zh_Hans: 芬兰 - pt_BR: Finland - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: HK - label: - en_US: Hong Kong - zh_Hans: 香港 - pt_BR: Hong Kong - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: ID - label: - en_US: Indonesia - zh_Hans: 印度尼西亚 - pt_BR: Indonesia - - value: IT - label: - en_US: Italy - zh_Hans: 意大利 - pt_BR: Italy - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: MY - label: - en_US: Malaysia - zh_Hans: 马来西亚 - pt_BR: Malaysia - - value: MX - label: - en_US: Mexico - zh_Hans: 墨西哥 - pt_BR: Mexico - - value: NL - label: - en_US: Netherlands - zh_Hans: 荷兰 - pt_BR: Netherlands - - value: NZ - label: - en_US: New Zealand - zh_Hans: 新西兰 - pt_BR: New Zealand - - value: 'NO' - label: - en_US: Norway - zh_Hans: 挪威 - pt_BR: Norway - - value: PH - label: - en_US: Philippines - zh_Hans: 菲律宾 - pt_BR: Philippines - - value: PL - label: - en_US: Poland - zh_Hans: 波兰 - pt_BR: Poland - - value: PT - label: - en_US: Portugal - zh_Hans: 葡萄牙 - pt_BR: Portugal - - value: RU - label: - en_US: Russia - zh_Hans: 俄罗斯 - pt_BR: Russia - - value: SA - label: - en_US: Saudi Arabia - zh_Hans: 沙特阿拉伯 - pt_BR: Saudi Arabia - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: ZA - label: - en_US: South Africa - zh_Hans: 南非 - pt_BR: South Africa - - value: ES - label: - en_US: Spain - zh_Hans: 西班牙 - pt_BR: Spain - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden - - value: CH - label: - en_US: Switzerland - zh_Hans: 瑞士 - pt_BR: Switzerland - - value: TW - label: - en_US: Taiwan - zh_Hans: 台湾 - pt_BR: Taiwan - - value: TH - label: - en_US: Thailand - zh_Hans: 泰国 - pt_BR: Thailand - - value: TR - label: - en_US: Turkey - zh_Hans: 土耳其 - pt_BR: Turkey - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - name: language - type: select - label: - en_US: Language - zh_Hans: 语言 - pt_BR: Language - human_description: - en_US: language takes responsibility for the language of the search result - zh_Hans: 语言决定了搜索结果的语言 - pt_BR: language takes responsibility for the language of the search result - required: false - default: en - form: form - options: - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - pt_BR: Arabic - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - pt_BR: Bulgarian - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - pt_BR: Catalan - - value: zh-hans - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - pt_BR: Chinese (Simplified) - - value: zh-hant - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - pt_BR: Chinese (Traditional) - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - pt_BR: Czech - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - pt_BR: Danish - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - pt_BR: Dutch - - value: en - label: - en_US: English - zh_Hans: 英语 - pt_BR: English - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - pt_BR: Estonian - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - pt_BR: Finnish - - value: fr - label: - en_US: French - zh_Hans: 法语 - pt_BR: French - - value: de - label: - en_US: German - zh_Hans: 德语 - pt_BR: German - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - pt_BR: Greek - - value: he - label: - en_US: Hebrew - zh_Hans: 希伯来语 - pt_BR: Hebrew - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - pt_BR: Hindi - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - pt_BR: Hungarian - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - pt_BR: Indonesian - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - pt_BR: Italian - - value: jp - label: - en_US: Japanese - zh_Hans: 日语 - pt_BR: Japanese - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - pt_BR: Kannada - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - pt_BR: Korean - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - pt_BR: Latvian - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - pt_BR: Lithuanian - - value: ms - label: - en_US: Malay - zh_Hans: 马来语 - pt_BR: Malay - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - pt_BR: Malayalam - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - pt_BR: Marathi - - value: nb - label: - en_US: Norwegian - zh_Hans: 挪威语 - pt_BR: Norwegian - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - pt_BR: Polish - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - pt_BR: Portuguese (Brazil) - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - pt_BR: Portuguese (Portugal) - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - pt_BR: Punjabi - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - pt_BR: Romanian - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - pt_BR: Russian - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - pt_BR: Serbian - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - pt_BR: Slovak - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - pt_BR: Slovenian - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - pt_BR: Spanish - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - pt_BR: Swedish - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - pt_BR: Tamil - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - pt_BR: Telugu - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - pt_BR: Thai - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - pt_BR: Turkish - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - pt_BR: Ukrainian - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 - pt_BR: Vietnamese diff --git a/api/core/tools/provider/builtin/brave/_assets/icon.svg b/api/core/tools/provider/builtin/brave/_assets/icon.svg deleted file mode 100644 index d059f7c5161e98..00000000000000 --- a/api/core/tools/provider/builtin/brave/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/brave/brave.py b/api/core/tools/provider/builtin/brave/brave.py deleted file mode 100644 index c24ee67334083b..00000000000000 --- a/api/core/tools/provider/builtin/brave/brave.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.brave.tools.brave_search import BraveSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class BraveProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - BraveSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "query": "Sachin Tendulkar", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/brave/brave.yaml b/api/core/tools/provider/builtin/brave/brave.yaml deleted file mode 100644 index 2b0dcc0188caf8..00000000000000 --- a/api/core/tools/provider/builtin/brave/brave.yaml +++ /dev/null @@ -1,39 +0,0 @@ -identity: - author: Yash Parmar - name: brave - label: - en_US: Brave - zh_Hans: Brave - pt_BR: Brave - description: - en_US: Brave - zh_Hans: Brave - pt_BR: Brave - icon: icon.svg - tags: - - search -credentials_for_provider: - brave_search_api_key: - type: secret-input - required: true - label: - en_US: Brave Search API key - zh_Hans: Brave Search API key - pt_BR: Brave Search API key - placeholder: - en_US: Please input your Brave Search API key - zh_Hans: 请输入你的 Brave Search API key - pt_BR: Please input your Brave Search API key - help: - en_US: Get your Brave Search API key from Brave - zh_Hans: 从 Brave 获取您的 Brave Search API key - pt_BR: Get your Brave Search API key from Brave - url: https://brave.com/search/api/ - base_url: - type: text-input - required: false - label: - en_US: Brave server's Base URL - zh_Hans: Brave服务器的API URL - placeholder: - en_US: https://api.search.brave.com/res/v1/web/search diff --git a/api/core/tools/provider/builtin/brave/tools/brave_search.py b/api/core/tools/provider/builtin/brave/tools/brave_search.py deleted file mode 100644 index c34362ae52ecac..00000000000000 --- a/api/core/tools/provider/builtin/brave/tools/brave_search.py +++ /dev/null @@ -1,138 +0,0 @@ -import json -from typing import Any, Optional - -import requests -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -BRAVE_BASE_URL = "https://api.search.brave.com/res/v1/web/search" - - -class BraveSearchWrapper(BaseModel): - """Wrapper around the Brave search engine.""" - - api_key: str - """The API key to use for the Brave search engine.""" - search_kwargs: dict = Field(default_factory=dict) - """Additional keyword arguments to pass to the search request.""" - base_url: str = BRAVE_BASE_URL - """The base URL for the Brave search engine.""" - ensure_ascii: bool = True - """Ensure the JSON output is ASCII encoded.""" - - def run(self, query: str) -> str: - """Query the Brave search engine and return the results as a JSON string. - - Args: - query: The query to search for. - - Returns: The results as a JSON string. - - """ - web_search_results = self._search_request(query=query) - final_results = [ - { - "title": item.get("title"), - "link": item.get("url"), - "snippet": item.get("description"), - } - for item in web_search_results - ] - return json.dumps(final_results, ensure_ascii=self.ensure_ascii) - - def _search_request(self, query: str) -> list[dict]: - headers = { - "X-Subscription-Token": self.api_key, - "Accept": "application/json", - } - req = requests.PreparedRequest() - params = {**self.search_kwargs, **{"q": query}} - req.prepare_url(self.base_url, params) - if req.url is None: - raise ValueError("prepared url is None, this should not happen") - - response = requests.get(req.url, headers=headers) - if not response.ok: - raise Exception(f"HTTP error {response.status_code}") - - return response.json().get("web", {}).get("results", []) - - -class BraveSearch(BaseModel): - """Tool that queries the BraveSearch.""" - - name: str = "brave_search" - description: str = ( - "a search engine. " - "useful for when you need to answer questions about current events." - " input should be a search query." - ) - search_wrapper: BraveSearchWrapper - - @classmethod - def from_api_key( - cls, api_key: str, base_url: str, search_kwargs: Optional[dict] = None, ensure_ascii: bool = True, **kwargs: Any - ) -> "BraveSearch": - """Create a tool from an api key. - - Args: - api_key: The api key to use. - search_kwargs: Any additional kwargs to pass to the search wrapper. - **kwargs: Any additional kwargs to pass to the tool. - - Returns: - A tool. - """ - wrapper = BraveSearchWrapper( - api_key=api_key, base_url=base_url, search_kwargs=search_kwargs or {}, ensure_ascii=ensure_ascii - ) - return cls(search_wrapper=wrapper, **kwargs) - - def _run( - self, - query: str, - ) -> str: - """Use the tool.""" - return self.search_wrapper.run(query) - - -class BraveSearchTool(BuiltinTool): - """ - Tool for performing a search using Brave search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invoke the Brave search tool. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool invocation. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation. - """ - query = tool_parameters.get("query", "") - count = tool_parameters.get("count", 3) - api_key = self.runtime.credentials["brave_search_api_key"] - base_url = self.runtime.credentials.get("base_url", BRAVE_BASE_URL) - ensure_ascii = tool_parameters.get("ensure_ascii", True) - - if len(base_url) == 0: - base_url = BRAVE_BASE_URL - - if not query: - return self.create_text_message("Please input query") - - tool = BraveSearch.from_api_key( - api_key=api_key, base_url=base_url, search_kwargs={"count": count}, ensure_ascii=ensure_ascii - ) - - results = tool._run(query) - - if not results: - return self.create_text_message(f"No results found for '{query}' in Tavily") - else: - return self.create_text_message(text=results) diff --git a/api/core/tools/provider/builtin/brave/tools/brave_search.yaml b/api/core/tools/provider/builtin/brave/tools/brave_search.yaml deleted file mode 100644 index 5222a375f84cee..00000000000000 --- a/api/core/tools/provider/builtin/brave/tools/brave_search.yaml +++ /dev/null @@ -1,53 +0,0 @@ -identity: - name: brave_search - author: Yash Parmar - label: - en_US: BraveSearch - zh_Hans: BraveSearch - pt_BR: BraveSearch -description: - human: - en_US: BraveSearch is a privacy-focused search engine that leverages its own index to deliver unbiased, independent, and fast search results. It's designed to respect user privacy by not tracking searches or personal information, making it a secure choice for those concerned about online privacy. - zh_Hans: BraveSearch 是一个注重隐私的搜索引擎，它利用自己的索引来提供公正、独立和快速的搜索结果。它旨在通过不跟踪搜索或个人信息来尊重用户隐私，为那些关注在线隐私的用户提供了一个安全的选择。 - pt_BR: BraveSearch é um mecanismo de busca focado na privacidade que utiliza seu próprio índice para entregar resultados de busca imparciais, independentes e rápidos. Ele é projetado para respeitar a privacidade do usuário, não rastreando buscas ou informações pessoais, tornando-se uma escolha segura para aqueles preocupados com a privacidade online. - llm: BraveSearch is a privacy-centric search engine utilizing its unique index to offer unbiased, independent, and swift search results. It aims to protect user privacy by avoiding the tracking of search activities or personal data, presenting a secure option for users mindful of their online privacy. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - pt_BR: Query string - human_description: - en_US: The text input used for initiating searches on the web, focusing on delivering relevant and accurate results without compromising user privacy. - zh_Hans: 用于在网上启动搜索的文本输入，专注于提供相关且准确的结果，同时不妨碍用户隐私。 - pt_BR: A entrada de texto usada para iniciar pesquisas na web, focada em entregar resultados relevantes e precisos sem comprometer a privacidade do usuário. - llm_description: Keywords or phrases entered to perform searches, aimed at providing relevant and precise results while ensuring the privacy of the user is maintained. - form: llm - - name: count - type: number - required: false - default: 3 - label: - en_US: Result count - zh_Hans: 结果数量 - pt_BR: Contagem de resultados - human_description: - en_US: The number of search results to return, allowing users to control the breadth of their search output. - zh_Hans: 要返回的搜索结果数量，允许用户控制他们搜索输出的广度。 - pt_BR: O número de resultados de pesquisa a serem retornados, permitindo que os usuários controlem a amplitude de sua saída de pesquisa. - llm_description: Specifies the amount of search results to be displayed, offering users the ability to adjust the scope of their search findings. - form: llm - - name: ensure_ascii - type: boolean - default: true - label: - en_US: Ensure ASCII - zh_Hans: 确保 ASCII - pt_BR: Ensure ASCII - human_description: - en_US: Ensure the JSON output is ASCII encoded - zh_Hans: 确保输出的 JSON 是 ASCII 编码 - pt_BR: Ensure the JSON output is ASCII encoded - form: form diff --git a/api/core/tools/provider/builtin/chart/_assets/icon.png b/api/core/tools/provider/builtin/chart/_assets/icon.png deleted file mode 100644 index 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a/api/core/tools/provider/builtin/chart/chart.yaml b/api/core/tools/provider/builtin/chart/chart.yaml deleted file mode 100644 index ad0d9a6cd688cf..00000000000000 --- a/api/core/tools/provider/builtin/chart/chart.yaml +++ /dev/null @@ -1,17 +0,0 @@ -identity: - author: Dify - name: chart - label: - en_US: ChartGenerator - zh_Hans: 图表生成 - pt_BR: Gerador de gráficos - description: - en_US: Chart Generator is a tool for generating statistical charts like bar chart, line chart, pie chart, etc. - zh_Hans: 图表生成是一个用于生成可视化图表的工具，你可以通过它来生成柱状图、折线图、饼图等各类图表 - pt_BR: O Gerador de gráficos é uma ferramenta para gerar gráficos estatísticos como gráfico de barras, gráfico de linhas, gráfico de pizza, etc. - icon: icon.png - tags: - - design - - productivity - - utilities -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/chart/tools/bar.py b/api/core/tools/provider/builtin/chart/tools/bar.py deleted file mode 100644 index 20ce5e138b5bfe..00000000000000 --- a/api/core/tools/provider/builtin/chart/tools/bar.py +++ /dev/null @@ -1,50 +0,0 @@ -import io -from typing import Any, Union - -import matplotlib.pyplot as plt - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class BarChartTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - data = tool_parameters.get("data", "") - if not data: - return self.create_text_message("Please input data") - data = data.split(";") - - # if all data is int, convert to int - if all(i.isdigit() for i in data): - data = [int(i) for i in data] - else: - data = [float(i) for i in data] - - axis = tool_parameters.get("x_axis") or None - if axis: - axis = axis.split(";") - if len(axis) != len(data): - axis = None - - flg, ax = plt.subplots(figsize=(10, 8)) - - if axis: - axis = [label[:10] + "..." if len(label) > 10 else label for label in axis] - ax.set_xticklabels(axis, rotation=45, ha="right") - # ensure all labels, including duplicates, are correctly displayed - ax.bar(range(len(data)), data) - ax.set_xticks(range(len(data))) - else: - ax.bar(range(len(data)), data) - - buf = io.BytesIO() - flg.savefig(buf, format="png") - buf.seek(0) - plt.close(flg) - - return [ - self.create_text_message("the bar chart is saved as an image."), - self.create_blob_message(blob=buf.read(), meta={"mime_type": "image/png"}), - ] diff --git a/api/core/tools/provider/builtin/chart/tools/bar.yaml b/api/core/tools/provider/builtin/chart/tools/bar.yaml deleted file mode 100644 index ee7405f6810efa..00000000000000 --- a/api/core/tools/provider/builtin/chart/tools/bar.yaml +++ /dev/null @@ -1,41 +0,0 @@ -identity: - name: bar_chart - author: Dify - label: - en_US: Bar Chart - zh_Hans: 柱状图 - pt_BR: Gráfico de barras - icon: icon.svg -description: - human: - en_US: Bar chart - zh_Hans: 柱状图 - pt_BR: Gráfico de barras - llm: generate a bar chart with input data -parameters: - - name: data - type: string - required: true - label: - en_US: data - zh_Hans: 数据 - pt_BR: dados - human_description: - en_US: data for generating chart, each number should be separated by ";" - zh_Hans: 用于生成柱状图的数据，每个数字之间用 ";" 分隔 - pt_BR: dados para gerar gráfico de barras, cada número deve ser separado por ";" - llm_description: data for generating bar chart, data should be a string contains a list of numbers like "1;2;3;4;5" - form: llm - - name: x_axis - type: string - required: false - label: - en_US: X Axis - zh_Hans: x 轴 - pt_BR: Eixo X - human_description: - en_US: X axis for chart, each text should be separated by ";" - zh_Hans: 柱状图的 x 轴，每个文本之间用 ";" 分隔 - pt_BR: Eixo X para gráfico de barras, cada texto deve ser separado por ";" - llm_description: x axis for bar chart, x axis should be a string contains a list of texts like "a;b;c;1;2" in order to match the data - form: llm diff --git a/api/core/tools/provider/builtin/chart/tools/line.py b/api/core/tools/provider/builtin/chart/tools/line.py deleted file mode 100644 index 39e8caac7ef609..00000000000000 --- a/api/core/tools/provider/builtin/chart/tools/line.py +++ /dev/null @@ -1,50 +0,0 @@ -import io -from typing import Any, Union - -import matplotlib.pyplot as plt - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class LinearChartTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - data = tool_parameters.get("data", "") - if not data: - return self.create_text_message("Please input data") - data = data.split(";") - - axis = tool_parameters.get("x_axis") or None - if axis: - axis = axis.split(";") - if len(axis) != len(data): - axis = None - - # if all data is int, convert to int - if all(i.isdigit() for i in data): - data = [int(i) for i in data] - else: - data = [float(i) for i in data] - - flg, ax = plt.subplots(figsize=(10, 8)) - - if axis: - axis = [label[:10] + "..." if len(label) > 10 else label for label in axis] - ax.set_xticklabels(axis, rotation=45, ha="right") - ax.plot(axis, data) - else: - ax.plot(data) - - buf = io.BytesIO() - flg.savefig(buf, format="png") - buf.seek(0) - plt.close(flg) - - return [ - self.create_text_message("the linear chart is saved as an image."), - self.create_blob_message(blob=buf.read(), meta={"mime_type": "image/png"}), - ] diff --git a/api/core/tools/provider/builtin/chart/tools/line.yaml b/api/core/tools/provider/builtin/chart/tools/line.yaml deleted file mode 100644 index 35ebe3b68bddb3..00000000000000 --- a/api/core/tools/provider/builtin/chart/tools/line.yaml +++ /dev/null @@ -1,41 +0,0 @@ -identity: - name: line_chart - author: Dify - label: - en_US: Linear Chart - zh_Hans: 线性图表 - pt_BR: Gráfico linear - icon: icon.svg -description: - human: - en_US: linear chart - zh_Hans: 线性图表 - pt_BR: Gráfico linear - llm: generate a linear chart with input data -parameters: - - name: data - type: string - required: true - label: - en_US: data - zh_Hans: 数据 - pt_BR: dados - human_description: - en_US: data for generating chart, each number should be separated by ";" - zh_Hans: 用于生成线性图表的数据，每个数字之间用 ";" 分隔 - pt_BR: dados para gerar gráfico linear, cada número deve ser separado por ";" - llm_description: data for generating linear chart, data should be a string contains a list of numbers like "1;2;3;4;5" - form: llm - - name: x_axis - type: string - required: false - label: - en_US: X Axis - zh_Hans: x 轴 - pt_BR: Eixo X - human_description: - en_US: X axis for chart, each text should be separated by ";" - zh_Hans: 线性图表的 x 轴，每个文本之间用 ";" 分隔 - pt_BR: Eixo X para gráfico linear, cada texto deve ser separado por ";" - llm_description: x axis for linear chart, x axis should be a string contains a list of texts like "a;b;c;1;2" in order to match the data - form: llm diff --git a/api/core/tools/provider/builtin/chart/tools/pie.py b/api/core/tools/provider/builtin/chart/tools/pie.py deleted file mode 100644 index 2c3b8a733eac9a..00000000000000 --- a/api/core/tools/provider/builtin/chart/tools/pie.py +++ /dev/null @@ -1,48 +0,0 @@ -import io -from typing import Any, Union - -import matplotlib.pyplot as plt - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class PieChartTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - data = tool_parameters.get("data", "") - if not data: - return self.create_text_message("Please input data") - data = data.split(";") - categories = tool_parameters.get("categories") or None - - # if all data is int, convert to int - if all(i.isdigit() for i in data): - data = [int(i) for i in data] - else: - data = [float(i) for i in data] - - flg, ax = plt.subplots() - - if categories: - categories = categories.split(";") - if len(categories) != len(data): - categories = None - - if categories: - ax.pie(data, labels=categories) - else: - ax.pie(data) - - buf = io.BytesIO() - flg.savefig(buf, format="png") - buf.seek(0) - plt.close(flg) - - return [ - self.create_text_message("the pie chart is saved as an image."), - self.create_blob_message(blob=buf.read(), meta={"mime_type": "image/png"}), - ] diff --git a/api/core/tools/provider/builtin/chart/tools/pie.yaml b/api/core/tools/provider/builtin/chart/tools/pie.yaml deleted file mode 100644 index 541715cb7d86dd..00000000000000 --- a/api/core/tools/provider/builtin/chart/tools/pie.yaml +++ /dev/null @@ -1,41 +0,0 @@ -identity: - name: pie_chart - author: Dify - label: - en_US: Pie Chart - zh_Hans: 饼图 - pt_BR: Gráfico de pizza - icon: icon.svg -description: - human: - en_US: Pie chart - zh_Hans: 饼图 - pt_BR: Gráfico de pizza - llm: generate a pie chart with input data -parameters: - - name: data - type: string - required: true - label: - en_US: data - zh_Hans: 数据 - pt_BR: dados - human_description: - en_US: data for generating chart, each number should be separated by ";" - zh_Hans: 用于生成饼图的数据，每个数字之间用 ";" 分隔 - pt_BR: dados para gerar gráfico de pizza, cada número deve ser separado por ";" - llm_description: data for generating pie chart, data should be a string contains a list of numbers like "1;2;3;4;5" - form: llm - - name: categories - type: string - required: true - label: - en_US: Categories - zh_Hans: 分类 - pt_BR: Categorias - human_description: - en_US: Categories for chart, each category should be separated by ";" - zh_Hans: 饼图的分类，每个分类之间用 ";" 分隔 - pt_BR: Categorias para gráfico de pizza, cada categoria deve ser separada por ";" - llm_description: categories for pie chart, categories should be a string contains a list of texts like "a;b;c;1;2" in order to match the data, each category should be split by ";" - form: llm diff --git a/api/core/tools/provider/builtin/code/code.py b/api/core/tools/provider/builtin/code/code.py 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zkoKN;$M2)-qv2-DsU6EVK;zKb&Coxeps}p`aFslvrUfaDx~lhUTeV-i-HYQg2I1Aa zirJG_Ga=sE{_`^*TXYPa+%p%3R5;^IlSB@D`=Sn6Fv{ngXp~lQmOzPD_?3cGZ+e_? zML}w>WH)9yB&`V-z#6~E4hTI+eYe{L)K6%aU`*(k!kr9NQXbT;)_&sEJxS9kX1woK6mxO@hljx9RpYPv+LUN#Zjdhc%E}s( zjeSRTpf&R^?ZX}s%CB;xCXMR3jxcfTP+tE}1kzXPl)Td|tlcA|EPc{@w(vsK=N>I$ z(}OuP(T~u^3Y&U`A_>jlhlPQ;KuK-NNw z(R$t2-?O`yGzk}l79m&w%Y?ViO2pkgx~J!txV7rZGn;B=lFR&Pimm)pylpWkeQ`DB zeM6RUZnoIX_|$Efl!RFv$tr4Eq;}QkZ=H&YQ-qxiR}(TFshJK&?TsspK(;yM6iPc@ zW{u4&et0%9#SxW(urr%|*pRaDgYYv>i(;WoeK|%%bUN)P?wVO{Fhe&z z!6kmSp3-kHH&63qCT4%HIzz#uOC@8!s-th}UV_7Cp+W4NP?s5F%C7DKI`E*RCEFtej_BUSDQxsVF1}D=|)`!mTs$0Azqi z@GSijd#lomQdbyBvqkj_ZG2~we@?Mnf<=-0x)p>~{jy<%7^@WlH)2eHNop}!G(_~& zDuia?QP02lw@oPI?d07F`5jkC3c_iw7L}%M*NW?#hBh7II*ip};s2Wll^}$aD36Wr z6?~{gn_m@m?=rQ-&%>ucTqKbom2J?jj&02d<2y5B1(RY^`&wpzv{ None: - try: - CogView3Tool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "prompt": "一个城市在水晶瓶中欢快生活的场景，水彩画风格，展现出微观与珠宝般的美丽。", - "size": "square", - "n": 1, - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) from e diff --git a/api/core/tools/provider/builtin/cogview/cogview.yaml b/api/core/tools/provider/builtin/cogview/cogview.yaml deleted file mode 100644 index 374b0e98d9122c..00000000000000 --- a/api/core/tools/provider/builtin/cogview/cogview.yaml +++ /dev/null @@ -1,61 +0,0 @@ -identity: - author: Waffle - name: cogview - label: - en_US: CogView - zh_Hans: CogView 绘画 - pt_BR: CogView - description: - en_US: CogView art - zh_Hans: CogView 绘画 - pt_BR: CogView art - icon: icon.png - tags: - - image - - productivity -credentials_for_provider: - zhipuai_api_key: - type: secret-input - required: true - label: - en_US: ZhipuAI API key - zh_Hans: ZhipuAI API key - pt_BR: ZhipuAI API key - help: - en_US: Please input your ZhipuAI API key - zh_Hans: 请输入你的 ZhipuAI API key - pt_BR: Please input your ZhipuAI API key - placeholder: - en_US: Please input your ZhipuAI API key - zh_Hans: 请输入你的 ZhipuAI API key - pt_BR: Please input your ZhipuAI API key - zhipuai_organizaion_id: - type: text-input - required: false - label: - en_US: ZhipuAI organization ID - zh_Hans: ZhipuAI organization ID - pt_BR: ZhipuAI organization ID - help: - en_US: Please input your ZhipuAI organization ID - zh_Hans: 请输入你的 ZhipuAI organization ID - pt_BR: Please input your ZhipuAI organization ID - placeholder: - en_US: Please input your ZhipuAI organization ID - zh_Hans: 请输入你的 ZhipuAI organization ID - pt_BR: Please input your ZhipuAI organization ID - zhipuai_base_url: - type: text-input - required: false - label: - en_US: ZhipuAI base URL - zh_Hans: ZhipuAI base URL - pt_BR: ZhipuAI base URL - help: - en_US: Please input your ZhipuAI base URL - zh_Hans: 请输入你的 ZhipuAI base URL - pt_BR: Please input your ZhipuAI base URL - placeholder: - en_US: Please input your ZhipuAI base URL - zh_Hans: 请输入你的 ZhipuAI base URL - pt_BR: Please input your ZhipuAI base URL diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo.py b/api/core/tools/provider/builtin/cogview/tools/cogvideo.py deleted file mode 100644 index a60062ca66abbf..00000000000000 --- a/api/core/tools/provider/builtin/cogview/tools/cogvideo.py +++ /dev/null @@ -1,24 +0,0 @@ -from typing import Any, Union - -from zhipuai import ZhipuAI # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class CogVideoTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - client = ZhipuAI( - base_url=self.runtime.credentials["zhipuai_base_url"], - api_key=self.runtime.credentials["zhipuai_api_key"], - ) - if not tool_parameters.get("prompt") and not tool_parameters.get("image_url"): - return self.create_text_message("require at least one of prompt and image_url") - - response = client.videos.generations( - model="cogvideox", prompt=tool_parameters.get("prompt"), image_url=tool_parameters.get("image_url") - ) - - return self.create_json_message(response.dict()) diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo.yaml b/api/core/tools/provider/builtin/cogview/tools/cogvideo.yaml deleted file mode 100644 index 3df0cfcea938fa..00000000000000 --- a/api/core/tools/provider/builtin/cogview/tools/cogvideo.yaml +++ /dev/null @@ -1,32 +0,0 @@ -identity: - name: cogvideo - author: hjlarry - label: - en_US: CogVideo - zh_Hans: CogVideo 视频生成 -description: - human: - en_US: Use the CogVideox model provided by ZhipuAI to generate videos based on user prompts and images. - zh_Hans: 使用智谱cogvideox模型，根据用户输入的提示词和图片，生成视频。 - llm: A tool for generating videos. The input is user's prompt or image url or both of them, the output is a task id. You can use another tool with this task id to check the status and get the video. -parameters: - - name: prompt - type: string - label: - en_US: prompt - zh_Hans: 提示词 - human_description: - en_US: The prompt text used to generate video. - zh_Hans: 用于生成视频的提示词。 - llm_description: The prompt text used to generate video. Optional. - form: llm - - name: image_url - type: string - label: - en_US: image url - zh_Hans: 图片链接 - human_description: - en_US: The image url used to generate video. - zh_Hans: 输入一个图片链接，生成的视频将基于该图片和提示词。 - llm_description: The image url used to generate video. Optional. - form: llm diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.py b/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.py deleted file mode 100644 index 3e24b74d2598a7..00000000000000 --- a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.py +++ /dev/null @@ -1,30 +0,0 @@ -from typing import Any, Union - -import httpx -from zhipuai import ZhipuAI # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class CogVideoJobTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - client = ZhipuAI( - api_key=self.runtime.credentials["zhipuai_api_key"], - base_url=self.runtime.credentials["zhipuai_base_url"], - ) - - response = client.videos.retrieve_videos_result(id=tool_parameters.get("id")) - result = [self.create_json_message(response.dict())] - if response.task_status == "SUCCESS": - for item in response.video_result: - video_cover_image = self.create_image_message(item.cover_image_url) - result.append(video_cover_image) - video = self.create_blob_message( - blob=httpx.get(item.url).content, meta={"mime_type": "video/mp4"}, save_as=self.VariableKey.VIDEO - ) - result.append(video) - - return result diff --git a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.yaml b/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.yaml deleted file mode 100644 index fb2eb3ab130b81..00000000000000 --- a/api/core/tools/provider/builtin/cogview/tools/cogvideo_job.yaml +++ /dev/null @@ -1,21 +0,0 @@ -identity: - name: cogvideo_job - author: hjlarry - label: - en_US: CogVideo Result - zh_Hans: CogVideo 结果获取 -description: - human: - en_US: Get the result of CogVideo tool generation. - zh_Hans: 根据 CogVideo 工具返回的 id 获取视频生成结果。 - llm: Get the result of CogVideo tool generation. The input is the id which is returned by the CogVideo tool. The output is the url of video and video cover image. -parameters: - - name: id - type: string - label: - en_US: id - human_description: - en_US: The id returned by the CogVideo. - zh_Hans: CogVideo 工具返回的 id。 - llm_description: The id returned by the cogvideo. - form: llm diff --git a/api/core/tools/provider/builtin/cogview/tools/cogview3.py b/api/core/tools/provider/builtin/cogview/tools/cogview3.py deleted file mode 100644 index 9aa781709a726c..00000000000000 --- a/api/core/tools/provider/builtin/cogview/tools/cogview3.py +++ /dev/null @@ -1,93 +0,0 @@ -import random -from typing import Any, Union - -from zhipuai import ZhipuAI # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class CogView3Tool(BuiltinTool): - """CogView3 Tool""" - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke CogView3 tool - """ - client = ZhipuAI( - base_url=self.runtime.credentials["zhipuai_base_url"], - api_key=self.runtime.credentials["zhipuai_api_key"], - ) - size_mapping = { - "square": "1024x1024", - "vertical_768": "768x1344", - "vertical_864": "864x1152", - "horizontal_1344": "1344x768", - "horizontal_1152": "1152x864", - "widescreen_1440": "1440x720", - "tallscreen_720": "720x1440", - } - # prompt - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - # get size key - size_key = tool_parameters.get("size", "square") - # cogview-3-plus get size - if size_key != "cogview_3": - size = size_mapping[size_key] - # get n - n = tool_parameters.get("n", 1) - # get quality - quality = tool_parameters.get("quality", "standard") - if quality not in {"standard", "hd"}: - return self.create_text_message("Invalid quality") - # get style - style = tool_parameters.get("style", "vivid") - if style not in {"natural", "vivid"}: - return self.create_text_message("Invalid style") - # set extra body - seed_id = tool_parameters.get("seed_id", self._generate_random_id(8)) - extra_body = {"seed": seed_id} - # cogview-3-plus - if size_key != "cogview_3": - response = client.images.generations( - prompt=prompt, - model="cogview-3-plus", - size=size, - n=n, - extra_body=extra_body, - style=style, - quality=quality, - response_format="b64_json", - ) - # cogview-3 - else: - response = client.images.generations( - prompt=prompt, - model="cogview-3", - n=n, - extra_body=extra_body, - style=style, - quality=quality, - response_format="b64_json", - ) - result = [] - for image in response.data: - result.append(self.create_image_message(image=image.url)) - result.append( - self.create_json_message( - { - "url": image.url, - } - ) - ) - return result - - @staticmethod - def _generate_random_id(length=8): - characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789" - random_id = "".join(random.choices(characters, k=length)) - return random_id diff --git a/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml b/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml deleted file mode 100644 index 9ab5c2729bf7a9..00000000000000 --- a/api/core/tools/provider/builtin/cogview/tools/cogview3.yaml +++ /dev/null @@ -1,148 +0,0 @@ -identity: - name: cogview3 - author: Waffle - label: - en_US: CogView 3 - zh_Hans: CogView 3 绘画 - pt_BR: CogView 3 - description: - en_US: CogView 3 is a powerful drawing tool that can draw the image you want based on your prompt - zh_Hans: CogView 3 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像 - pt_BR: CogView 3 is a powerful drawing tool that can draw the image you want based on your prompt -description: - human: - en_US: CogView 3 is a text to image tool - zh_Hans: CogView 3 是一个文本到图像的工具 - pt_BR: CogView 3 is a text to image tool - llm: CogView 3 is a tool used to generate images from text -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt, you can check the official documentation of CogView 3 - zh_Hans: 图像提示词，您可以查看 CogView 3 的官方文档 - pt_BR: Image prompt, you can check the official documentation of CogView 3 - llm_description: Image prompt of CogView 3, you should describe the image you want to generate as a list of words as possible as detailed - form: llm - - name: size - type: select - required: true - human_description: - en_US: selecting the image size - zh_Hans: 选择图像大小 - pt_BR: selecting the image size - label: - en_US: Image size - zh_Hans: 图像大小 - pt_BR: Image size - form: form - options: - - value: cogview_3 - label: - en_US: Square_cogview_3(1024x1024) - zh_Hans: 方_cogview_3(1024x1024) - pt_BR: Square_cogview_3(1024x1024) - - value: square - label: - en_US: Square(1024x1024) - zh_Hans: 方(1024x1024) - pt_BR: Square(1024x1024) - - value: vertical_768 - label: - en_US: Vertical(768x1344) - zh_Hans: 竖屏(768x1344) - pt_BR: Vertical(768x1344) - - value: vertical_864 - label: - en_US: Vertical(864x1152) - zh_Hans: 竖屏(864x1152) - pt_BR: Vertical(864x1152) - - value: horizontal_1344 - label: - en_US: Horizontal(1344x768) - zh_Hans: 横屏(1344x768) - pt_BR: Horizontal(1344x768) - - value: horizontal_1152 - label: - en_US: Horizontal(1152x864) - zh_Hans: 横屏(1152x864) - pt_BR: Horizontal(1152x864) - - value: widescreen_1440 - label: - en_US: Widescreen(1440x720) - zh_Hans: 宽屏(1440x720) - pt_BR: Widescreen(1440x720) - - value: tallscreen_720 - label: - en_US: Tallscreen(720x1440) - zh_Hans: 高屏(720x1440) - pt_BR: Tallscreen(720x1440) - default: square - - name: n - type: number - required: true - human_description: - en_US: selecting the number of images - zh_Hans: 选择图像数量 - pt_BR: selecting the number of images - label: - en_US: Number of images - zh_Hans: 图像数量 - pt_BR: Number of images - form: form - min: 1 - max: 1 - default: 1 - - name: quality - type: select - required: true - human_description: - en_US: selecting the image quality - zh_Hans: 选择图像质量 - pt_BR: selecting the image quality - label: - en_US: Image quality - zh_Hans: 图像质量 - pt_BR: Image quality - form: form - options: - - value: standard - label: - en_US: Standard - zh_Hans: 标准 - pt_BR: Standard - - value: hd - label: - en_US: HD - zh_Hans: 高清 - pt_BR: HD - default: standard - - name: style - type: select - required: true - human_description: - en_US: selecting the image style - 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zNO#a624n@em!g>s9>Zbis0%1F4PQV}>0U-hHrS96QZ*iZ?c@78n6D#%aF)D;uKe<@ zP^G1TQjRHV?(lX#dWT@?YLfQ~_PV40(`G#^2Vf;S_wcgUj2Vmit7VNRK<85Gl(V8j zijRys6KZ9cjx!*Q+_K|~1Z76I9orU*u@ENJLC>F!2y=qq5N6R0avs`Yp^1RN%j|an zI$7Uxt>Zo_0myifwKwM`!3aBHg%d73_76yCW~Kk>C@vFBk=S6+0x5P|yycf7F>iE& zB@XzW6%L5Gnc2KuL{-SI8eygN=XZ6r-6sV%aV~6VWy5P2iDFbJ*u``He?qZ}1Qg0K zfR>r7W5R)TF|OvbtfId^kVz{4+fv;=7%JQtPA~9(QvUCU z9gM;M^zVN+rjq{8GlLf(x550^E%<-$qymBu`u|%1%`E!=|Iwc;qEZu9;U(X}UB(a) NvXV*?HDZQ={|9+=nRoyI diff --git a/api/core/tools/provider/builtin/comfyui/comfyui.py b/api/core/tools/provider/builtin/comfyui/comfyui.py deleted file mode 100644 index a8127dd23f1553..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/comfyui.py +++ /dev/null @@ -1,24 +0,0 @@ -from typing import Any - -import websocket -from yarl import URL - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class ComfyUIProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - ws = websocket.WebSocket() - base_url = URL(credentials.get("base_url")) - ws_protocol = "ws" - if base_url.scheme == "https": - ws_protocol = "wss" - ws_address = f"{ws_protocol}://{base_url.authority}/ws?clientId=test123" - - try: - ws.connect(ws_address) - except Exception as e: - raise ToolProviderCredentialValidationError(f"can not connect to {ws_address}") - finally: - ws.close() diff --git a/api/core/tools/provider/builtin/comfyui/comfyui.yaml b/api/core/tools/provider/builtin/comfyui/comfyui.yaml deleted file mode 100644 index 24ae43cd44051e..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/comfyui.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - author: Qun - name: comfyui - label: - en_US: ComfyUI - zh_Hans: ComfyUI - description: - en_US: ComfyUI is a tool for generating images which can be deployed locally. - zh_Hans: ComfyUI 是一个可以在本地部署的图片生成的工具。 - icon: icon.png - tags: - - image -credentials_for_provider: - base_url: - type: text-input - required: true - label: - en_US: The URL of ComfyUI Server - zh_Hans: ComfyUI服务器的URL - placeholder: - en_US: Please input your ComfyUI server's Base URL - zh_Hans: 请输入你的 ComfyUI 服务器的 Base URL - url: https://docs.dify.ai/guides/tools/tool-configuration/comfyui diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_client.py b/api/core/tools/provider/builtin/comfyui/tools/comfyui_client.py deleted file mode 100644 index 2bf10ce8ff2632..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_client.py +++ /dev/null @@ -1,131 +0,0 @@ -import json -import random -import uuid - -import httpx -from websocket import WebSocket -from yarl import URL - -from core.file.file_manager import download -from core.file.models import File - - -class ComfyUiClient: - def __init__(self, base_url: str): - self.base_url = URL(base_url) - - def get_history(self, prompt_id: str) -> dict: - res = httpx.get(str(self.base_url / "history"), params={"prompt_id": prompt_id}) - history = res.json()[prompt_id] - return history - - def get_image(self, filename: str, subfolder: str, folder_type: str) -> bytes: - response = httpx.get( - str(self.base_url / "view"), - params={"filename": filename, "subfolder": subfolder, "type": folder_type}, - ) - return response.content - - def upload_image(self, image_file: File) -> dict: - file = download(image_file) - files = {"image": (image_file.filename, file, image_file.mime_type), "overwrite": "true"} - res = httpx.post(str(self.base_url / "upload/image"), files=files) - return res.json() - - def queue_prompt(self, client_id: str, prompt: dict) -> str: - res = httpx.post(str(self.base_url / "prompt"), json={"client_id": client_id, "prompt": prompt}) - prompt_id = res.json()["prompt_id"] - return prompt_id - - def open_websocket_connection(self) -> tuple[WebSocket, str]: - client_id = str(uuid.uuid4()) - ws = WebSocket() - ws_protocol = "ws" - if self.base_url.scheme == "https": - ws_protocol = "wss" - ws_address = f"{ws_protocol}://{self.base_url.authority}/ws?clientId={client_id}" - ws.connect(ws_address) - return ws, client_id - - def set_prompt_by_ksampler(self, origin_prompt: dict, positive_prompt: str, negative_prompt: str = "") -> dict: - prompt = origin_prompt.copy() - id_to_class_type = {id: details["class_type"] for id, details in prompt.items()} - k_sampler = [key for key, value in id_to_class_type.items() if value == "KSampler"][0] - positive_input_id = prompt.get(k_sampler)["inputs"]["positive"][0] - prompt.get(positive_input_id)["inputs"]["text"] = positive_prompt - - if negative_prompt != "": - negative_input_id = prompt.get(k_sampler)["inputs"]["negative"][0] - prompt.get(negative_input_id)["inputs"]["text"] = negative_prompt - - return prompt - - def set_prompt_images_by_ids(self, origin_prompt: dict, image_names: list[str], image_ids: list[str]) -> dict: - prompt = origin_prompt.copy() - for index, image_node_id in enumerate(image_ids): - prompt[image_node_id]["inputs"]["image"] = image_names[index] - return prompt - - def set_prompt_images_by_default(self, origin_prompt: dict, image_names: list[str]) -> dict: - prompt = origin_prompt.copy() - id_to_class_type = {id: details["class_type"] for id, details in prompt.items()} - load_image_nodes = [key for key, value in id_to_class_type.items() if value == "LoadImage"] - for load_image, image_name in zip(load_image_nodes, image_names): - prompt.get(load_image)["inputs"]["image"] = image_name - return prompt - - def set_prompt_seed_by_id(self, origin_prompt: dict, seed_id: str) -> dict: - prompt = origin_prompt.copy() - if seed_id not in prompt: - raise Exception("Not a valid seed node") - if "seed" in prompt[seed_id]["inputs"]: - prompt[seed_id]["inputs"]["seed"] = random.randint(10**14, 10**15 - 1) - elif "noise_seed" in prompt[seed_id]["inputs"]: - prompt[seed_id]["inputs"]["noise_seed"] = random.randint(10**14, 10**15 - 1) - else: - raise Exception("Not a valid seed node") - return prompt - - def track_progress(self, prompt: dict, ws: WebSocket, prompt_id: str): - node_ids = list(prompt.keys()) - finished_nodes = [] - - while True: - out = ws.recv() - if isinstance(out, str): - message = json.loads(out) - if message["type"] == "progress": - data = message["data"] - current_step = data["value"] - print("In K-Sampler -> Step: ", current_step, " of: ", data["max"]) - if message["type"] == "execution_cached": - data = message["data"] - for itm in data["nodes"]: - if itm not in finished_nodes: - finished_nodes.append(itm) - print("Progress: ", len(finished_nodes), "/", len(node_ids), " Tasks done") - if message["type"] == "executing": - data = message["data"] - if data["node"] not in finished_nodes: - finished_nodes.append(data["node"]) - print("Progress: ", len(finished_nodes), "/", len(node_ids), " Tasks done") - - if data["node"] is None and data["prompt_id"] == prompt_id: - break # Execution is done - else: - continue - - def generate_image_by_prompt(self, prompt: dict) -> list[bytes]: - try: - ws, client_id = self.open_websocket_connection() - prompt_id = self.queue_prompt(client_id, prompt) - self.track_progress(prompt, ws, prompt_id) - history = self.get_history(prompt_id) - images = [] - for output in history["outputs"].values(): - for img in output.get("images", []): - image_data = self.get_image(img["filename"], img["subfolder"], img["type"]) - images.append((image_data, img["filename"])) - return images - finally: - ws.close() diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.py b/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.py deleted file mode 100644 index eaa4b0d0275568..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.py +++ /dev/null @@ -1,475 +0,0 @@ -import json -import os -import random -import uuid -from copy import deepcopy -from enum import Enum -from typing import Any, Union - -import websocket -from httpx import get, post -from yarl import URL - -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - -SD_TXT2IMG_OPTIONS = {} -LORA_NODE = { - "inputs": {"lora_name": "", "strength_model": 1, "strength_clip": 1, "model": ["11", 0], "clip": ["11", 1]}, - "class_type": "LoraLoader", - "_meta": {"title": "Load LoRA"}, -} -FluxGuidanceNode = { - "inputs": {"guidance": 3.5, "conditioning": ["6", 0]}, - "class_type": "FluxGuidance", - "_meta": {"title": "FluxGuidance"}, -} - - -class ModelType(Enum): - SD15 = 1 - SDXL = 2 - SD3 = 3 - FLUX = 4 - - -class ComfyuiStableDiffusionTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # base url - base_url = self.runtime.credentials.get("base_url", "") - if not base_url: - return self.create_text_message("Please input base_url") - - if tool_parameters.get("model"): - self.runtime.credentials["model"] = tool_parameters["model"] - - model = self.runtime.credentials.get("model", None) - if not model: - return self.create_text_message("Please input model") - - # prompt - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - - # get negative prompt - negative_prompt = tool_parameters.get("negative_prompt", "") - - # get size - width = tool_parameters.get("width", 1024) - height = tool_parameters.get("height", 1024) - - # get steps - steps = tool_parameters.get("steps", 1) - - # get sampler_name - sampler_name = tool_parameters.get("sampler_name", "euler") - - # scheduler - scheduler = tool_parameters.get("scheduler", "normal") - - # get cfg - cfg = tool_parameters.get("cfg", 7.0) - - # get model type - model_type = tool_parameters.get("model_type", ModelType.SD15.name) - - # get lora - # supports up to 3 loras - lora_list = [] - lora_strength_list = [] - if tool_parameters.get("lora_1"): - lora_list.append(tool_parameters["lora_1"]) - lora_strength_list.append(tool_parameters.get("lora_strength_1", 1)) - if tool_parameters.get("lora_2"): - lora_list.append(tool_parameters["lora_2"]) - lora_strength_list.append(tool_parameters.get("lora_strength_2", 1)) - if tool_parameters.get("lora_3"): - lora_list.append(tool_parameters["lora_3"]) - lora_strength_list.append(tool_parameters.get("lora_strength_3", 1)) - - return self.text2img( - base_url=base_url, - model=model, - model_type=model_type, - prompt=prompt, - negative_prompt=negative_prompt, - width=width, - height=height, - steps=steps, - sampler_name=sampler_name, - scheduler=scheduler, - cfg=cfg, - lora_list=lora_list, - lora_strength_list=lora_strength_list, - ) - - def get_checkpoints(self) -> list[str]: - """ - get checkpoints - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return [] - api_url = str(URL(base_url) / "models" / "checkpoints") - response = get(url=api_url, timeout=(2, 10)) - if response.status_code != 200: - return [] - else: - return response.json() - except Exception as e: - return [] - - def get_loras(self) -> list[str]: - """ - get loras - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return [] - api_url = str(URL(base_url) / "models" / "loras") - response = get(url=api_url, timeout=(2, 10)) - if response.status_code != 200: - return [] - else: - return response.json() - except Exception as e: - return [] - - def get_sample_methods(self) -> tuple[list[str], list[str]]: - """ - get sample method - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return [], [] - api_url = str(URL(base_url) / "object_info" / "KSampler") - response = get(url=api_url, timeout=(2, 10)) - if response.status_code != 200: - return [], [] - else: - data = response.json()["KSampler"]["input"]["required"] - return data["sampler_name"][0], data["scheduler"][0] - except Exception as e: - return [], [] - - def validate_models(self) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - validate models - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - raise ToolProviderCredentialValidationError("Please input base_url") - model = self.runtime.credentials.get("model", None) - if not model: - raise ToolProviderCredentialValidationError("Please input model") - - api_url = str(URL(base_url) / "models" / "checkpoints") - response = get(url=api_url, timeout=(2, 10)) - if response.status_code != 200: - raise ToolProviderCredentialValidationError("Failed to get models") - else: - models = response.json() - if len([d for d in models if d == model]) > 0: - return self.create_text_message(json.dumps(models)) - else: - raise ToolProviderCredentialValidationError(f"model {model} does not exist") - except Exception as e: - raise ToolProviderCredentialValidationError(f"Failed to get models, {e}") - - def get_history(self, base_url, prompt_id): - """ - get history - """ - url = str(URL(base_url) / "history") - respond = get(url, params={"prompt_id": prompt_id}, timeout=(2, 10)) - return respond.json() - - def download_image(self, base_url, filename, subfolder, folder_type): - """ - download image - """ - url = str(URL(base_url) / "view") - response = get(url, params={"filename": filename, "subfolder": subfolder, "type": folder_type}, timeout=(2, 10)) - return response.content - - def queue_prompt_image(self, base_url, client_id, prompt): - """ - send prompt task and rotate - """ - # initiate task execution - url = str(URL(base_url) / "prompt") - respond = post(url, data=json.dumps({"client_id": client_id, "prompt": prompt}), timeout=(2, 10)) - prompt_id = respond.json()["prompt_id"] - - ws = websocket.WebSocket() - if "https" in base_url: - ws_url = base_url.replace("https", "ws") - else: - ws_url = base_url.replace("http", "ws") - ws.connect(str(URL(f"{ws_url}") / "ws") + f"?clientId={client_id}", timeout=120) - - # websocket rotate execution status - output_images = {} - while True: - out = ws.recv() - if isinstance(out, str): - message = json.loads(out) - if message["type"] == "executing": - data = message["data"] - if data["node"] is None and data["prompt_id"] == prompt_id: - break # Execution is done - elif message["type"] == "status": - data = message["data"] - if data["status"]["exec_info"]["queue_remaining"] == 0 and data.get("sid"): - break # Execution is done - else: - continue # previews are binary data - - # download image when execution finished - history = self.get_history(base_url, prompt_id)[prompt_id] - for o in history["outputs"]: - for node_id in history["outputs"]: - node_output = history["outputs"][node_id] - if "images" in node_output: - images_output = [] - for image in node_output["images"]: - image_data = self.download_image(base_url, image["filename"], image["subfolder"], image["type"]) - images_output.append(image_data) - output_images[node_id] = images_output - - ws.close() - - return output_images - - def text2img( - self, - base_url: str, - model: str, - model_type: str, - prompt: str, - negative_prompt: str, - width: int, - height: int, - steps: int, - sampler_name: str, - scheduler: str, - cfg: float, - lora_list: list, - lora_strength_list: list, - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - generate image - """ - if not SD_TXT2IMG_OPTIONS: - current_dir = os.path.dirname(os.path.realpath(__file__)) - with open(os.path.join(current_dir, "txt2img.json")) as file: - SD_TXT2IMG_OPTIONS.update(json.load(file)) - - draw_options = deepcopy(SD_TXT2IMG_OPTIONS) - draw_options["3"]["inputs"]["steps"] = steps - draw_options["3"]["inputs"]["sampler_name"] = sampler_name - draw_options["3"]["inputs"]["scheduler"] = scheduler - draw_options["3"]["inputs"]["cfg"] = cfg - # generate different image when using same prompt next time - draw_options["3"]["inputs"]["seed"] = random.randint(0, 100000000) - draw_options["4"]["inputs"]["ckpt_name"] = model - draw_options["5"]["inputs"]["width"] = width - draw_options["5"]["inputs"]["height"] = height - draw_options["6"]["inputs"]["text"] = prompt - draw_options["7"]["inputs"]["text"] = negative_prompt - # if the model is SD3 or FLUX series, the Latent class should be corresponding to SD3 Latent - if model_type in {ModelType.SD3.name, ModelType.FLUX.name}: - draw_options["5"]["class_type"] = "EmptySD3LatentImage" - - if lora_list: - # last Lora node link to KSampler node - draw_options["3"]["inputs"]["model"][0] = "10" - # last Lora node link to positive and negative Clip node - draw_options["6"]["inputs"]["clip"][0] = "10" - draw_options["7"]["inputs"]["clip"][0] = "10" - # every Lora node link to next Lora node, and Checkpoints node link to first Lora node - for i, (lora, strength) in enumerate(zip(lora_list, lora_strength_list), 10): - if i - 10 == len(lora_list) - 1: - next_node_id = "4" - else: - next_node_id = str(i + 1) - lora_node = deepcopy(LORA_NODE) - lora_node["inputs"]["lora_name"] = lora - lora_node["inputs"]["strength_model"] = strength - lora_node["inputs"]["strength_clip"] = strength - lora_node["inputs"]["model"][0] = next_node_id - lora_node["inputs"]["clip"][0] = next_node_id - draw_options[str(i)] = lora_node - - # FLUX need to add FluxGuidance Node - if model_type == ModelType.FLUX.name: - last_node_id = str(10 + len(lora_list)) - draw_options[last_node_id] = deepcopy(FluxGuidanceNode) - draw_options[last_node_id]["inputs"]["conditioning"][0] = "6" - draw_options["3"]["inputs"]["positive"][0] = last_node_id - - try: - client_id = str(uuid.uuid4()) - result = self.queue_prompt_image(base_url, client_id, prompt=draw_options) - - # get first image - image = b"" - for node in result: - for img in result[node]: - if img: - image = img - break - - return self.create_blob_message( - blob=image, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value - ) - - except Exception as e: - return self.create_text_message(f"Failed to generate image: {str(e)}") - - def get_runtime_parameters(self) -> list[ToolParameter]: - parameters = [ - ToolParameter( - name="prompt", - label=I18nObject(en_US="Prompt", zh_Hans="Prompt"), - human_description=I18nObject( - en_US="Image prompt, you can check the official documentation of Stable Diffusion", - zh_Hans="图像提示词，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.STRING, - form=ToolParameter.ToolParameterForm.LLM, - llm_description="Image prompt of Stable Diffusion, you should describe the image " - "you want to generate as a list of words as possible as detailed, " - "the prompt must be written in English.", - required=True, - ), - ] - if self.runtime.credentials: - try: - models = self.get_checkpoints() - if len(models) != 0: - parameters.append( - ToolParameter( - name="model", - label=I18nObject(en_US="Model", zh_Hans="Model"), - human_description=I18nObject( - en_US="Model of Stable Diffusion or FLUX, " - "you can check the official documentation of Stable Diffusion or FLUX", - zh_Hans="Stable Diffusion 或者 FLUX 的模型，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Model of Stable Diffusion or FLUX, " - "you can check the official documentation of Stable Diffusion or FLUX", - required=True, - default=models[0], - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in models - ], - ) - ) - loras = self.get_loras() - if len(loras) != 0: - for n in range(1, 4): - parameters.append( - ToolParameter( - name=f"lora_{n}", - label=I18nObject(en_US=f"Lora {n}", zh_Hans=f"Lora {n}"), - human_description=I18nObject( - en_US="Lora of Stable Diffusion, " - "you can check the official documentation of Stable Diffusion", - zh_Hans="Stable Diffusion 的 Lora 模型，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Lora of Stable Diffusion, " - "you can check the official documentation of " - "Stable Diffusion", - required=False, - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in loras - ], - ) - ) - sample_methods, schedulers = self.get_sample_methods() - if len(sample_methods) != 0: - parameters.append( - ToolParameter( - name="sampler_name", - label=I18nObject(en_US="Sampling method", zh_Hans="Sampling method"), - human_description=I18nObject( - en_US="Sampling method of Stable Diffusion, " - "you can check the official documentation of Stable Diffusion", - zh_Hans="Stable Diffusion 的Sampling method，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Sampling method of Stable Diffusion, " - "you can check the official documentation of Stable Diffusion", - required=True, - default=sample_methods[0], - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) - for i in sample_methods - ], - ) - ) - if len(schedulers) != 0: - parameters.append( - ToolParameter( - name="scheduler", - label=I18nObject(en_US="Scheduler", zh_Hans="Scheduler"), - human_description=I18nObject( - en_US="Scheduler of Stable Diffusion, " - "you can check the official documentation of Stable Diffusion", - zh_Hans="Stable Diffusion 的Scheduler，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Scheduler of Stable Diffusion, " - "you can check the official documentation of Stable Diffusion", - required=True, - default=schedulers[0], - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in schedulers - ], - ) - ) - parameters.append( - ToolParameter( - name="model_type", - label=I18nObject(en_US="Model Type", zh_Hans="Model Type"), - human_description=I18nObject( - en_US="Model Type of Stable Diffusion or Flux, " - "you can check the official documentation of Stable Diffusion or Flux", - zh_Hans="Stable Diffusion 或 FLUX 的模型类型，" - "您可以查看 Stable Diffusion 或 Flux 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Model Type of Stable Diffusion or Flux, " - "you can check the official documentation of Stable Diffusion or Flux", - required=True, - default=ModelType.SD15.name, - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) - for i in ModelType.__members__ - ], - ) - ) - except: - pass - - return parameters diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.yaml b/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.yaml deleted file mode 100644 index 75fe746965196a..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_stable_diffusion.yaml +++ /dev/null @@ -1,212 +0,0 @@ -identity: - name: txt2img - author: Qun - label: - en_US: Txt2Img - zh_Hans: Txt2Img - pt_BR: Txt2Img -description: - human: - en_US: a pre-defined comfyui workflow that can use one model and up to 3 loras to generate images. Support SD1.5, SDXL, SD3 and FLUX which contain text encoders/clip, but does not support models that requires a triple clip loader. - zh_Hans: 一个预定义的 ComfyUI 工作流，可以使用一个模型和最多3个loras来生成图像。支持包含文本编码器/clip的SD1.5、SDXL、SD3和FLUX，但不支持需要clip加载器的模型。 - pt_BR: a pre-defined comfyui workflow that can use one model and up to 3 loras to generate images. Support SD1.5, SDXL, SD3 and FLUX which contain text encoders/clip, but does not support models that requires a triple clip loader. - llm: draw the image you want based on your prompt. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt, you can check the official documentation of Stable Diffusion or FLUX - zh_Hans: 图像提示词，您可以查看 Stable Diffusion 或者 FLUX 的官方文档 - pt_BR: Image prompt, you can check the official documentation of Stable Diffusion or FLUX - llm_description: Image prompt of Stable Diffusion, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English. - form: llm - - name: model - type: string - required: true - label: - en_US: Model Name - zh_Hans: 模型名称 - pt_BR: Model Name - human_description: - en_US: Model Name - zh_Hans: 模型名称 - pt_BR: Model Name - form: form - - name: model_type - type: string - required: true - label: - en_US: Model Type - zh_Hans: 模型类型 - pt_BR: Model Type - human_description: - en_US: Model Type - zh_Hans: 模型类型 - pt_BR: Model Type - form: form - - name: lora_1 - type: string - required: false - label: - en_US: Lora 1 - zh_Hans: Lora 1 - pt_BR: Lora 1 - human_description: - en_US: Lora 1 - zh_Hans: Lora 1 - pt_BR: Lora 1 - form: form - - name: lora_strength_1 - type: number - required: false - label: - en_US: Lora Strength 1 - zh_Hans: Lora Strength 1 - pt_BR: Lora Strength 1 - human_description: - en_US: Lora Strength 1 - zh_Hans: Lora模型的权重 - pt_BR: Lora Strength 1 - form: form - - name: steps - type: number - required: false - label: - en_US: Steps - zh_Hans: Steps - pt_BR: Steps - human_description: - en_US: Steps - zh_Hans: Steps - pt_BR: Steps - form: form - default: 20 - - name: width - type: number - required: false - label: - en_US: Width - zh_Hans: Width - pt_BR: Width - human_description: - en_US: Width - zh_Hans: Width - pt_BR: Width - form: form - default: 1024 - - name: height - type: number - required: false - label: - en_US: Height - zh_Hans: Height - pt_BR: Height - human_description: - en_US: Height - zh_Hans: Height - pt_BR: Height - form: form - default: 1024 - - name: negative_prompt - type: string - required: false - label: - en_US: Negative prompt - zh_Hans: Negative prompt - pt_BR: Negative prompt - human_description: - en_US: Negative prompt - zh_Hans: Negative prompt - pt_BR: Negative prompt - form: form - default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines - - name: cfg - type: number - required: false - label: - en_US: CFG Scale - zh_Hans: CFG Scale - pt_BR: CFG Scale - human_description: - en_US: CFG Scale - zh_Hans: 提示词相关性(CFG Scale) - pt_BR: CFG Scale - form: form - default: 7.0 - - name: sampler_name - type: string - required: false - label: - en_US: Sampling method - zh_Hans: Sampling method - pt_BR: Sampling method - human_description: - en_US: Sampling method - zh_Hans: Sampling method - pt_BR: Sampling method - form: form - - name: scheduler - type: string - required: false - label: - en_US: Scheduler - zh_Hans: Scheduler - pt_BR: Scheduler - human_description: - en_US: Scheduler - zh_Hans: Scheduler - pt_BR: Scheduler - form: form - - name: lora_2 - type: string - required: false - label: - en_US: Lora 2 - zh_Hans: Lora 2 - pt_BR: Lora 2 - human_description: - en_US: Lora 2 - zh_Hans: Lora 2 - pt_BR: Lora 2 - form: form - - name: lora_strength_2 - type: number - required: false - label: - en_US: Lora Strength 2 - zh_Hans: Lora Strength 2 - pt_BR: Lora Strength 2 - human_description: - en_US: Lora Strength 2 - zh_Hans: Lora模型的权重 - pt_BR: Lora Strength 2 - form: form - - name: lora_3 - type: string - required: false - label: - en_US: Lora 3 - zh_Hans: Lora 3 - pt_BR: Lora 3 - human_description: - en_US: Lora 3 - zh_Hans: Lora 3 - pt_BR: Lora 3 - form: form - - name: lora_strength_3 - type: number - required: false - label: - en_US: Lora Strength 3 - zh_Hans: Lora Strength 3 - pt_BR: Lora Strength 3 - human_description: - en_US: Lora Strength 3 - zh_Hans: Lora模型的权重 - pt_BR: Lora Strength 3 - form: form diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.py b/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.py deleted file mode 100644 index eb085f221ebdda..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.py +++ /dev/null @@ -1,87 +0,0 @@ -import json -import mimetypes -from typing import Any - -from core.file import FileType -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolParameterValidationError -from core.tools.provider.builtin.comfyui.tools.comfyui_client import ComfyUiClient -from core.tools.tool.builtin_tool import BuiltinTool - - -def sanitize_json_string(s): - escape_dict = { - "\n": "\\n", - "\r": "\\r", - "\t": "\\t", - "\b": "\\b", - "\f": "\\f", - } - for char, escaped in escape_dict.items(): - s = s.replace(char, escaped) - - return s - - -class ComfyUIWorkflowTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - comfyui = ComfyUiClient(self.runtime.credentials["base_url"]) - - positive_prompt = tool_parameters.get("positive_prompt", "") - negative_prompt = tool_parameters.get("negative_prompt", "") - images = tool_parameters.get("images") or [] - workflow = tool_parameters.get("workflow_json") - image_names = [] - for image in images: - if image.type != FileType.IMAGE: - continue - image_name = comfyui.upload_image(image).get("name") - image_names.append(image_name) - - set_prompt_with_ksampler = True - if "{{positive_prompt}}" in workflow: - set_prompt_with_ksampler = False - workflow = workflow.replace("{{positive_prompt}}", positive_prompt.replace('"', "'")) - workflow = workflow.replace("{{negative_prompt}}", negative_prompt.replace('"', "'")) - - try: - prompt = json.loads(workflow) - except json.JSONDecodeError: - cleaned_string = sanitize_json_string(workflow) - try: - prompt = json.loads(cleaned_string) - except: - return self.create_text_message("the Workflow JSON is not correct") - - if set_prompt_with_ksampler: - try: - prompt = comfyui.set_prompt_by_ksampler(prompt, positive_prompt, negative_prompt) - except: - raise ToolParameterValidationError( - "Failed set prompt with KSampler, try replace prompt to {{positive_prompt}} in your workflow json" - ) - - if image_names: - if image_ids := tool_parameters.get("image_ids"): - image_ids = image_ids.split(",") - try: - prompt = comfyui.set_prompt_images_by_ids(prompt, image_names, image_ids) - except: - raise ToolParameterValidationError("the Image Node ID List not match your upload image files.") - else: - prompt = comfyui.set_prompt_images_by_default(prompt, image_names) - - if seed_id := tool_parameters.get("seed_id"): - prompt = comfyui.set_prompt_seed_by_id(prompt, seed_id) - - images = comfyui.generate_image_by_prompt(prompt) - result = [] - for image_data, filename in images: - result.append( - self.create_blob_message( - blob=image_data, - meta={"mime_type": mimetypes.guess_type(filename)[0]}, - save_as=self.VariableKey.IMAGE.value, - ) - ) - return result diff --git a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.yaml b/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.yaml deleted file mode 100644 index 9428acbe943642..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/tools/comfyui_workflow.yaml +++ /dev/null @@ -1,63 +0,0 @@ -identity: - name: workflow - author: hjlarry - label: - en_US: workflow - zh_Hans: 工作流 -description: - human: - en_US: Run ComfyUI workflow. - zh_Hans: 运行ComfyUI工作流。 - llm: Run ComfyUI workflow. -parameters: - - name: positive_prompt - type: string - label: - en_US: Prompt - zh_Hans: 提示词 - llm_description: Image prompt, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English. - form: llm - - name: negative_prompt - type: string - label: - en_US: Negative Prompt - zh_Hans: 负面提示词 - llm_description: Negative prompt, you should describe the image you don't want to generate as a list of words as possible as detailed, the prompt must be written in English. - form: llm - - name: images - type: files - label: - en_US: Input Images - zh_Hans: 输入的图片 - llm_description: The input images, used to transfer to the comfyui workflow to generate another image. - form: llm - - name: workflow_json - type: string - required: true - label: - en_US: Workflow JSON - human_description: - en_US: exported from ComfyUI workflow - zh_Hans: 从ComfyUI的工作流中导出 - form: form - - name: image_ids - type: string - label: - en_US: Image Node ID List - zh_Hans: 图片节点ID列表 - placeholder: - en_US: Use commas to separate multiple node ID - zh_Hans: 多个节点ID时使用半角逗号分隔 - human_description: - en_US: When the workflow has multiple image nodes, enter the ID list of these nodes, and the images will be passed to ComfyUI in the order of the list. - zh_Hans: 当工作流有多个图片节点时，输入这些节点的ID列表，图片将按列表顺序传给ComfyUI - form: form - - name: seed_id - type: string - label: - en_US: Seed Node Id - zh_Hans: 种子节点ID - human_description: - en_US: If you need to generate different images each time, you need to enter the ID of the seed node. - zh_Hans: 如果需要每次生成时使用不同的种子，需要输入包含种子的节点的ID - form: form diff --git a/api/core/tools/provider/builtin/comfyui/tools/txt2img.json b/api/core/tools/provider/builtin/comfyui/tools/txt2img.json deleted file mode 100644 index 8ea869ff106c38..00000000000000 --- a/api/core/tools/provider/builtin/comfyui/tools/txt2img.json +++ /dev/null @@ -1,107 +0,0 @@ -{ - "3": { - "inputs": { - "seed": 156680208700286, - "steps": 20, - "cfg": 8, - "sampler_name": "euler", - "scheduler": "normal", - "denoise": 1, - "model": [ - "4", - 0 - ], - "positive": [ - "6", - 0 - ], - "negative": [ - "7", - 0 - ], - "latent_image": [ - "5", - 0 - ] - }, - "class_type": "KSampler", - "_meta": { - "title": "KSampler" - } - }, - "4": { - "inputs": { - "ckpt_name": "3dAnimationDiffusion_v10.safetensors" - }, - "class_type": "CheckpointLoaderSimple", - "_meta": { - "title": "Load Checkpoint" - } - }, - "5": { - "inputs": { - "width": 512, - "height": 512, - "batch_size": 1 - }, - "class_type": "EmptyLatentImage", - "_meta": { - "title": "Empty Latent Image" - } - }, - "6": { - "inputs": { - "text": "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,", - "clip": [ - "4", - 1 - ] - }, - "class_type": "CLIPTextEncode", - "_meta": { - "title": "CLIP Text Encode (Prompt)" - } - }, - "7": { - "inputs": { - "text": "text, watermark", - "clip": [ - "4", - 1 - ] - }, - "class_type": "CLIPTextEncode", - "_meta": { - "title": "CLIP Text Encode (Prompt)" - } - }, - "8": { - "inputs": { - "samples": [ - "3", - 0 - ], - "vae": [ - "4", - 2 - ] - }, - "class_type": "VAEDecode", - "_meta": { - "title": "VAE Decode" - } - }, - "9": { - "inputs": { - "filename_prefix": "ComfyUI", - "images": [ - "8", - 0 - ] - }, - "class_type": "SaveImage", - "_meta": { - "title": "Save Image" - } - } -} \ No newline at end of file diff --git a/api/core/tools/provider/builtin/crossref/_assets/icon.svg b/api/core/tools/provider/builtin/crossref/_assets/icon.svg deleted file mode 100644 index aa629de7cb1660..00000000000000 --- a/api/core/tools/provider/builtin/crossref/_assets/icon.svg +++ /dev/null @@ -1,49 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/api/core/tools/provider/builtin/crossref/crossref.py b/api/core/tools/provider/builtin/crossref/crossref.py deleted file mode 100644 index 8ba3c1b48ae6d7..00000000000000 --- a/api/core/tools/provider/builtin/crossref/crossref.py +++ /dev/null @@ -1,20 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.crossref.tools.query_doi import CrossRefQueryDOITool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class CrossRefProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - CrossRefQueryDOITool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "doi": "10.1007/s00894-022-05373-8", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/crossref/crossref.yaml b/api/core/tools/provider/builtin/crossref/crossref.yaml deleted file mode 100644 index da67fbec3a480b..00000000000000 --- a/api/core/tools/provider/builtin/crossref/crossref.yaml +++ /dev/null @@ -1,29 +0,0 @@ -identity: - author: Sakura4036 - name: crossref - label: - en_US: CrossRef - zh_Hans: CrossRef - description: - en_US: Crossref is a cross-publisher reference linking registration query system using DOI technology created in 2000. Crossref establishes cross-database links between the reference list and citation full text of papers, making it very convenient for readers to access the full text of papers. - zh_Hans: Crossref是于2000年创建的使用DOI技术的跨出版商参考文献链接注册查询系统。Crossref建立了在论文的参考文献列表和引文全文之间的跨数据库链接，使得读者能够非常便捷地获取文献全文。 - icon: icon.svg - tags: - - search -credentials_for_provider: - mailto: - type: text-input - required: true - label: - en_US: email address - zh_Hans: email地址 - pt_BR: email address - placeholder: - en_US: Please input your email address - zh_Hans: 请输入你的email地址 - pt_BR: Please input your email address - help: - en_US: According to the requirements of Crossref, an email address is required - zh_Hans: 根据Crossref的要求，需要提供一个邮箱地址 - pt_BR: According to the requirements of Crossref, an email address is required - url: https://api.crossref.org/swagger-ui/index.html diff --git a/api/core/tools/provider/builtin/crossref/tools/query_doi.py b/api/core/tools/provider/builtin/crossref/tools/query_doi.py deleted file mode 100644 index 746139dd69d27b..00000000000000 --- a/api/core/tools/provider/builtin/crossref/tools/query_doi.py +++ /dev/null @@ -1,28 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolParameterValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class CrossRefQueryDOITool(BuiltinTool): - """ - Tool for querying the metadata of a publication using its DOI. - """ - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - doi = tool_parameters.get("doi") - if not doi: - raise ToolParameterValidationError("doi is required.") - # doc: https://github.com/CrossRef/rest-api-doc - url = f"https://api.crossref.org/works/{doi}" - response = requests.get(url) - response.raise_for_status() - response = response.json() - message = response.get("message", {}) - - return self.create_json_message(message) diff --git a/api/core/tools/provider/builtin/crossref/tools/query_doi.yaml b/api/core/tools/provider/builtin/crossref/tools/query_doi.yaml deleted file mode 100644 index 9c16da25edf2b3..00000000000000 --- a/api/core/tools/provider/builtin/crossref/tools/query_doi.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: crossref_query_doi - author: Sakura4036 - label: - en_US: CrossRef Query DOI - zh_Hans: CrossRef DOI 查询 - pt_BR: CrossRef Query DOI -description: - human: - en_US: A tool for searching literature information using CrossRef by DOI. - zh_Hans: 一个使用CrossRef通过DOI获取文献信息的工具。 - pt_BR: A tool for searching literature information using CrossRef by DOI. - llm: A tool for searching literature information using CrossRef by DOI. -parameters: - - name: doi - type: string - required: true - label: - en_US: DOI - zh_Hans: DOI - pt_BR: DOI - llm_description: DOI for searching in CrossRef - form: llm diff --git a/api/core/tools/provider/builtin/crossref/tools/query_title.py b/api/core/tools/provider/builtin/crossref/tools/query_title.py deleted file mode 100644 index e2452381832938..00000000000000 --- a/api/core/tools/provider/builtin/crossref/tools/query_title.py +++ /dev/null @@ -1,143 +0,0 @@ -import time -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -def convert_time_str_to_seconds(time_str: str) -> int: - """ - Convert a time string to seconds. - example: 1s -> 1, 1m30s -> 90, 1h30m -> 5400, 1h30m30s -> 5430 - """ - time_str = time_str.lower().strip().replace(" ", "") - seconds = 0 - if "h" in time_str: - hours, time_str = time_str.split("h") - seconds += int(hours) * 3600 - if "m" in time_str: - minutes, time_str = time_str.split("m") - seconds += int(minutes) * 60 - if "s" in time_str: - seconds += int(time_str.replace("s", "")) - return seconds - - -class CrossRefQueryTitleAPI: - """ - Tool for querying the metadata of a publication using its title. - Crossref API doc: https://github.com/CrossRef/rest-api-doc - """ - - query_url_template: str = "https://api.crossref.org/works?query.bibliographic={query}&rows={rows}&offset={offset}&sort={sort}&order={order}&mailto={mailto}" - rate_limit: int = 50 - rate_interval: float = 1 - max_limit: int = 1000 - - def __init__(self, mailto: str): - self.mailto = mailto - - def _query( - self, - query: str, - rows: int = 5, - offset: int = 0, - sort: str = "relevance", - order: str = "desc", - fuzzy_query: bool = False, - ) -> list[dict]: - """ - Query the metadata of a publication using its title. - :param query: the title of the publication - :param rows: the number of results to return - :param sort: the sort field - :param order: the sort order - :param fuzzy_query: whether to return all items that match the query - """ - url = self.query_url_template.format( - query=query, rows=rows, offset=offset, sort=sort, order=order, mailto=self.mailto - ) - response = requests.get(url) - response.raise_for_status() - rate_limit = int(response.headers["x-ratelimit-limit"]) - # convert time string to seconds - rate_interval = convert_time_str_to_seconds(response.headers["x-ratelimit-interval"]) - - self.rate_limit = rate_limit - self.rate_interval = rate_interval - - response = response.json() - if response["status"] != "ok": - return [] - - message = response["message"] - if fuzzy_query: - # fuzzy query return all items - return message["items"] - else: - for paper in message["items"]: - title = paper["title"][0] - if title.lower() != query.lower(): - continue - return [paper] - return [] - - def query( - self, query: str, rows: int = 5, sort: str = "relevance", order: str = "desc", fuzzy_query: bool = False - ) -> list[dict]: - """ - Query the metadata of a publication using its title. - :param query: the title of the publication - :param rows: the number of results to return - :param sort: the sort field - :param order: the sort order - :param fuzzy_query: whether to return all items that match the query - """ - rows = min(rows, self.max_limit) - if rows > self.rate_limit: - # query multiple times - query_times = rows // self.rate_limit + 1 - results = [] - - for i in range(query_times): - result = self._query( - query, - rows=self.rate_limit, - offset=i * self.rate_limit, - sort=sort, - order=order, - fuzzy_query=fuzzy_query, - ) - if fuzzy_query: - results.extend(result) - else: - # fuzzy_query=False, only one result - if result: - return result - time.sleep(self.rate_interval) - return results - else: - # query once - return self._query(query, rows, sort=sort, order=order, fuzzy_query=fuzzy_query) - - -class CrossRefQueryTitleTool(BuiltinTool): - """ - Tool for querying the metadata of a publication using its title. - """ - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - query = tool_parameters.get("query") - fuzzy_query = tool_parameters.get("fuzzy_query", False) - rows = tool_parameters.get("rows", 3) - sort = tool_parameters.get("sort", "relevance") - order = tool_parameters.get("order", "desc") - mailto = self.runtime.credentials["mailto"] - - result = CrossRefQueryTitleAPI(mailto).query(query, rows, sort, order, fuzzy_query) - - return [self.create_json_message(r) for r in result] diff --git a/api/core/tools/provider/builtin/crossref/tools/query_title.yaml b/api/core/tools/provider/builtin/crossref/tools/query_title.yaml deleted file mode 100644 index 5579c77f5293d3..00000000000000 --- a/api/core/tools/provider/builtin/crossref/tools/query_title.yaml +++ /dev/null @@ -1,105 +0,0 @@ -identity: - name: crossref_query_title - author: Sakura4036 - label: - en_US: CrossRef Title Query - zh_Hans: CrossRef 标题查询 - pt_BR: CrossRef Title Query -description: - human: - en_US: A tool for querying literature information using CrossRef by title. - zh_Hans: 一个使用CrossRef通过标题搜索文献信息的工具。 - pt_BR: A tool for querying literature information using CrossRef by title. - llm: A tool for querying literature information using CrossRef by title. -parameters: - - name: query - type: string - required: true - label: - en_US: 标题 - zh_Hans: 查询语句 - pt_BR: 标题 - human_description: - en_US: Query bibliographic information, useful for citation look up. Includes titles, authors, ISSNs and publication years - zh_Hans: 用于搜索文献信息，有助于查找引用。包括标题，作者，ISSN和出版年份 - pt_BR: Query bibliographic information, useful for citation look up. Includes titles, authors, ISSNs and publication years - llm_description: key words for querying in Web of Science - form: llm - - name: fuzzy_query - type: boolean - default: false - label: - en_US: Whether to fuzzy search - zh_Hans: 是否模糊搜索 - pt_BR: Whether to fuzzy search - human_description: - en_US: used for selecting the query type, fuzzy query returns more results, precise query returns 1 or none - zh_Hans: 用于选择搜索类型，模糊搜索返回更多结果，精确搜索返回1条结果或无 - pt_BR: used for selecting the query type, fuzzy query returns more results, precise query returns 1 or none - form: form - - name: limit - type: number - required: false - label: - en_US: max query number - zh_Hans: 最大搜索数 - pt_BR: max query number - human_description: - en_US: max query number(fuzzy search returns the maximum number of results or precise search the maximum number of matches) - zh_Hans: 最大搜索数(模糊搜索返回的最大结果数或精确搜索最大匹配数) - pt_BR: max query number(fuzzy search returns the maximum number of results or precise search the maximum number of matches) - form: llm - default: 50 - - name: sort - type: select - required: true - options: - - value: relevance - label: - en_US: relevance - zh_Hans: 相关性 - pt_BR: relevance - - value: published - label: - en_US: publication date - zh_Hans: 出版日期 - pt_BR: publication date - - value: references-count - label: - en_US: references-count - zh_Hans: 引用次数 - pt_BR: references-count - default: relevance - label: - en_US: sorting field - zh_Hans: 排序字段 - pt_BR: sorting field - human_description: - en_US: Sorting of query results - zh_Hans: 检索结果的排序字段 - pt_BR: Sorting of query results - form: form - - name: order - type: select - required: true - options: - - value: desc - label: - en_US: descending - zh_Hans: 降序 - pt_BR: descending - - value: asc - label: - en_US: ascending - zh_Hans: 升序 - pt_BR: ascending - default: desc - label: - en_US: Order - zh_Hans: 排序 - pt_BR: Order - human_description: - en_US: Order of query results - zh_Hans: 检索结果的排序方式 - pt_BR: Order of query results - form: form 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z_5{VNTCD^dhQww Z*92R|Jvv!ULn#2aG*q;eEB~_y`X9!4)eHat diff --git a/api/core/tools/provider/builtin/dalle/dalle.py b/api/core/tools/provider/builtin/dalle/dalle.py deleted file mode 100644 index 5bd16e49e85e29..00000000000000 --- a/api/core/tools/provider/builtin/dalle/dalle.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.dalle.tools.dalle2 import DallE2Tool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class DALLEProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - DallE2Tool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={"prompt": "cute girl, blue eyes, white hair, anime style", "size": "small", "n": 1}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/dalle/dalle.yaml b/api/core/tools/provider/builtin/dalle/dalle.yaml deleted file mode 100644 index 37cf93c28aae58..00000000000000 --- a/api/core/tools/provider/builtin/dalle/dalle.yaml +++ /dev/null @@ -1,61 +0,0 @@ -identity: - author: Dify - name: dalle - label: - en_US: DALL-E - zh_Hans: DALL-E 绘画 - pt_BR: DALL-E - description: - en_US: DALL-E art - zh_Hans: DALL-E 绘画 - pt_BR: DALL-E art - icon: icon.png - tags: - - image - - productivity -credentials_for_provider: - openai_api_key: - type: secret-input - required: true - label: - en_US: OpenAI API key - zh_Hans: OpenAI API key - pt_BR: OpenAI API key - help: - en_US: Please input your OpenAI API key - zh_Hans: 请输入你的 OpenAI API key - pt_BR: Please input your OpenAI API key - placeholder: - en_US: Please input your OpenAI API key - zh_Hans: 请输入你的 OpenAI API key - pt_BR: Please input your OpenAI API key - openai_organization_id: - type: text-input - required: false - label: - en_US: OpenAI organization ID - zh_Hans: OpenAI organization ID - pt_BR: OpenAI organization ID - help: - en_US: Please input your OpenAI organization ID - zh_Hans: 请输入你的 OpenAI organization ID - pt_BR: Please input your OpenAI organization ID - placeholder: - en_US: Please input your OpenAI organization ID - zh_Hans: 请输入你的 OpenAI organization ID - pt_BR: Please input your OpenAI organization ID - openai_base_url: - type: text-input - required: false - label: - en_US: OpenAI base URL - zh_Hans: OpenAI base URL - pt_BR: OpenAI base URL - help: - en_US: Please input your OpenAI base URL - zh_Hans: 请输入你的 OpenAI base URL - pt_BR: Please input your OpenAI base URL - placeholder: - en_US: Please input your OpenAI base URL - zh_Hans: 请输入你的 OpenAI base URL - pt_BR: Please input your OpenAI base URL diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle2.py b/api/core/tools/provider/builtin/dalle/tools/dalle2.py deleted file mode 100644 index fbd7397292155e..00000000000000 --- a/api/core/tools/provider/builtin/dalle/tools/dalle2.py +++ /dev/null @@ -1,66 +0,0 @@ -from base64 import b64decode -from typing import Any, Union - -from openai import OpenAI -from yarl import URL - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DallE2Tool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - openai_organization = self.runtime.credentials.get("openai_organization_id", None) - if not openai_organization: - openai_organization = None - openai_base_url = self.runtime.credentials.get("openai_base_url", None) - if not openai_base_url: - openai_base_url = None - else: - openai_base_url = str(URL(openai_base_url) / "v1") - - client = OpenAI( - api_key=self.runtime.credentials["openai_api_key"], - base_url=openai_base_url, - organization=openai_organization, - ) - - SIZE_MAPPING = { - "small": "256x256", - "medium": "512x512", - "large": "1024x1024", - } - - # prompt - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - - # get size - size = SIZE_MAPPING[tool_parameters.get("size", "large")] - - # get n - n = tool_parameters.get("n", 1) - - # call openapi dalle2 - response = client.images.generate(prompt=prompt, model="dall-e-2", size=size, n=n, response_format="b64_json") - - result = [] - - for image in response.data: - result.append( - self.create_blob_message( - blob=b64decode(image.b64_json), - meta={"mime_type": "image/png"}, - save_as=self.VariableKey.IMAGE.value, - ) - ) - - return result diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml deleted file mode 100644 index e43e5df8cddd9b..00000000000000 --- a/api/core/tools/provider/builtin/dalle/tools/dalle2.yaml +++ /dev/null @@ -1,74 +0,0 @@ -identity: - name: dalle2 - author: Dify - label: - en_US: DALL-E 2 - zh_Hans: DALL-E 2 绘画 - description: - en_US: DALL-E 2 is a powerful drawing tool that can draw the image you want based on your prompt - zh_Hans: DALL-E 2 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像 - pt_BR: DALL-E 2 is a powerful drawing tool that can draw the image you want based on your prompt -description: - human: - en_US: DALL-E is a text to image tool - zh_Hans: DALL-E 是一个文本到图像的工具 - pt_BR: DALL-E is a text to image tool - llm: DALL-E is a tool used to generate images from text -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt, you can check the official documentation of DallE 2 - zh_Hans: 图像提示词，您可以查看 DallE 2 的官方文档 - pt_BR: Image prompt, you can check the official documentation of DallE 2 - llm_description: Image prompt of DallE 2, you should describe the image you want to generate as a list of words as possible as detailed - form: llm - - name: size - type: select - required: true - human_description: - en_US: used for selecting the image size - zh_Hans: 用于选择图像大小 - pt_BR: used for selecting the image size - label: - en_US: Image size - zh_Hans: 图像大小 - pt_BR: Image size - form: form - options: - - value: small - label: - en_US: Small(256x256) - zh_Hans: 小(256x256) - pt_BR: Small(256x256) - - value: medium - label: - en_US: Medium(512x512) - zh_Hans: 中(512x512) - pt_BR: Medium(512x512) - - value: large - label: - en_US: Large(1024x1024) - zh_Hans: 大(1024x1024) - pt_BR: Large(1024x1024) - default: large - - name: n - type: number - required: true - human_description: - en_US: used for selecting the number of images - zh_Hans: 用于选择图像数量 - pt_BR: used for selecting the number of images - label: - en_US: Number of images - zh_Hans: 图像数量 - pt_BR: Number of images - form: form - default: 1 - min: 1 - max: 10 diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.py b/api/core/tools/provider/builtin/dalle/tools/dalle3.py deleted file mode 100644 index af9aa6abb4bc3d..00000000000000 --- a/api/core/tools/provider/builtin/dalle/tools/dalle3.py +++ /dev/null @@ -1,115 +0,0 @@ -import base64 -import random -from typing import Any, Union - -from openai import OpenAI -from yarl import URL - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DallE3Tool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - openai_organization = self.runtime.credentials.get("openai_organization_id", None) - if not openai_organization: - openai_organization = None - openai_base_url = self.runtime.credentials.get("openai_base_url", None) - if not openai_base_url: - openai_base_url = None - else: - openai_base_url = str(URL(openai_base_url) / "v1") - - client = OpenAI( - api_key=self.runtime.credentials["openai_api_key"], - base_url=openai_base_url, - organization=openai_organization, - ) - - SIZE_MAPPING = { - "square": "1024x1024", - "vertical": "1024x1792", - "horizontal": "1792x1024", - } - - # prompt - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - # get size - size = SIZE_MAPPING[tool_parameters.get("size", "square")] - # get n - n = tool_parameters.get("n", 1) - # get quality - quality = tool_parameters.get("quality", "standard") - if quality not in {"standard", "hd"}: - return self.create_text_message("Invalid quality") - # get style - style = tool_parameters.get("style", "vivid") - if style not in {"natural", "vivid"}: - return self.create_text_message("Invalid style") - - # call openapi dalle3 - response = client.images.generate( - prompt=prompt, model="dall-e-3", size=size, n=n, style=style, quality=quality, response_format="b64_json" - ) - - result = [] - - for image in response.data: - mime_type, blob_image = DallE3Tool._decode_image(image.b64_json) - blob_message = self.create_blob_message( - blob=blob_image, meta={"mime_type": mime_type}, save_as=self.VariableKey.IMAGE - ) - result.append(blob_message) - return result - - @staticmethod - def _decode_image(base64_image: str) -> tuple[str, bytes]: - """ - Decode a base64 encoded image. If the image is not prefixed with a MIME type, - it assumes 'image/png' as the default. - - :param base64_image: Base64 encoded image string - :return: A tuple containing the MIME type and the decoded image bytes - """ - if DallE3Tool._is_plain_base64(base64_image): - return "image/png", base64.b64decode(base64_image) - else: - return DallE3Tool._extract_mime_and_data(base64_image) - - @staticmethod - def _is_plain_base64(encoded_str: str) -> bool: - """ - Check if the given encoded string is plain base64 without a MIME type prefix. - - :param encoded_str: Base64 encoded image string - :return: True if the string is plain base64, False otherwise - """ - return not encoded_str.startswith("data:image") - - @staticmethod - def _extract_mime_and_data(encoded_str: str) -> tuple[str, bytes]: - """ - Extract MIME type and image data from a base64 encoded string with a MIME type prefix. - - :param encoded_str: Base64 encoded image string with MIME type prefix - :return: A tuple containing the MIME type and the decoded image bytes - """ - mime_type = encoded_str.split(";")[0].split(":")[1] - image_data_base64 = encoded_str.split(",")[1] - decoded_data = base64.b64decode(image_data_base64) - return mime_type, decoded_data - - @staticmethod - def _generate_random_id(length=8): - characters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789" - random_id = "".join(random.choices(characters, k=length)) - return random_id diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml deleted file mode 100644 index 0cea8af761e1e5..00000000000000 --- a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml +++ /dev/null @@ -1,123 +0,0 @@ -identity: - name: dalle3 - author: Dify - label: - en_US: DALL-E 3 - zh_Hans: DALL-E 3 绘画 - pt_BR: DALL-E 3 - description: - en_US: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources - zh_Hans: DALL-E 3 是一个强大的绘画工具，它可以根据您的提示词绘制出您想要的图像，相比于DallE 2， DallE 3拥有更强的绘画能力，但会消耗更多的资源 - pt_BR: DALL-E 3 is a powerful drawing tool that can draw the image you want based on your prompt, compared to DallE 2, DallE 3 has stronger drawing ability, but it will consume more resources -description: - human: - en_US: DALL-E is a text to image tool - zh_Hans: DALL-E 是一个文本到图像的工具 - pt_BR: DALL-E is a text to image tool - llm: DALL-E is a tool used to generate images from text -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt, you can check the official documentation of DallE 3 - zh_Hans: 图像提示词，您可以查看 DallE 3 的官方文档 - pt_BR: Image prompt, you can check the official documentation of DallE 3 - llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed - form: llm - - name: size - type: select - required: true - human_description: - en_US: selecting the image size - zh_Hans: 选择图像大小 - pt_BR: selecting the image size - label: - en_US: Image size - zh_Hans: 图像大小 - pt_BR: Image size - form: form - options: - - value: square - label: - en_US: Squre(1024x1024) - zh_Hans: 方(1024x1024) - pt_BR: Squre(1024x1024) - - value: vertical - label: - en_US: Vertical(1024x1792) - zh_Hans: 竖屏(1024x1792) - pt_BR: Vertical(1024x1792) - - value: horizontal - label: - en_US: Horizontal(1792x1024) - zh_Hans: 横屏(1792x1024) - pt_BR: Horizontal(1792x1024) - default: square - - name: n - type: number - required: true - human_description: - en_US: selecting the number of images - zh_Hans: 选择图像数量 - pt_BR: selecting the number of images - label: - en_US: Number of images - zh_Hans: 图像数量 - pt_BR: Number of images - form: form - min: 1 - max: 1 - default: 1 - - name: quality - type: select - required: true - human_description: - en_US: selecting the image quality - zh_Hans: 选择图像质量 - pt_BR: selecting the image quality - label: - en_US: Image quality - zh_Hans: 图像质量 - pt_BR: Image quality - form: form - options: - - value: standard - label: - en_US: Standard - zh_Hans: 标准 - pt_BR: Standard - - value: hd - label: - en_US: HD - zh_Hans: 高清 - pt_BR: HD - default: standard - - name: style - type: select - required: true - human_description: - en_US: selecting the image style - zh_Hans: 选择图像风格 - pt_BR: selecting the image style - label: - en_US: Image style - zh_Hans: 图像风格 - pt_BR: Image style - form: form - options: - - value: vivid - label: - en_US: Vivid - zh_Hans: 生动 - pt_BR: Vivid - - value: natural - label: - en_US: Natural - zh_Hans: 自然 - pt_BR: Natural - default: vivid diff --git a/api/core/tools/provider/builtin/devdocs/_assets/icon.svg b/api/core/tools/provider/builtin/devdocs/_assets/icon.svg deleted file mode 100644 index c7a19fabfb18bf..00000000000000 --- a/api/core/tools/provider/builtin/devdocs/_assets/icon.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/devdocs/devdocs.py b/api/core/tools/provider/builtin/devdocs/devdocs.py deleted file mode 100644 index 446c1e548935c0..00000000000000 --- a/api/core/tools/provider/builtin/devdocs/devdocs.py +++ /dev/null @@ -1,21 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.devdocs.tools.searchDevDocs import SearchDevDocsTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class DevDocsProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - SearchDevDocsTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "doc": "python~3.12", - "topic": "library/code", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/devdocs/devdocs.yaml b/api/core/tools/provider/builtin/devdocs/devdocs.yaml deleted file mode 100644 index 7552f5a4973f7e..00000000000000 --- a/api/core/tools/provider/builtin/devdocs/devdocs.yaml +++ /dev/null @@ -1,13 +0,0 @@ -identity: - author: Richards Tu - name: devdocs - label: - en_US: DevDocs - zh_Hans: DevDocs - description: - en_US: Get official developer documentations on DevDocs. - zh_Hans: 从DevDocs获取官方开发者文档。 - icon: icon.svg - tags: - - search - - productivity diff --git a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.py b/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.py deleted file mode 100644 index 57cf6d7a308dba..00000000000000 --- a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.py +++ /dev/null @@ -1,47 +0,0 @@ -from typing import Any, Union - -import requests -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SearchDevDocsInput(BaseModel): - doc: str = Field(..., description="The name of the documentation.") - topic: str = Field(..., description="The path of the section/topic.") - - -class SearchDevDocsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invokes the DevDocs search tool with the given user ID and tool parameters. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool, including 'doc' and 'topic'. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation, - which can be a single message or a list of messages. - """ - doc = tool_parameters.get("doc", "") - topic = tool_parameters.get("topic", "") - - if not doc: - return self.create_text_message("Please provide the documentation name.") - if not topic: - return self.create_text_message("Please provide the topic path.") - - url = f"https://documents.devdocs.io/{doc}/{topic}.html" - response = requests.get(url) - - if response.status_code == 200: - content = response.text - return self.create_text_message(self.summary(user_id=user_id, content=content)) - else: - return self.create_text_message( - f"Failed to retrieve the documentation. Status code: {response.status_code}" - ) diff --git a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.yaml b/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.yaml deleted file mode 100644 index 2476db9da42d60..00000000000000 --- a/api/core/tools/provider/builtin/devdocs/tools/searchDevDocs.yaml +++ /dev/null @@ -1,34 +0,0 @@ -identity: - name: searchDevDocs - author: Richards Tu - label: - en_US: Search Developer Docs - zh_Hans: 搜索开发者文档 -description: - human: - en_US: A tools for searching for a specific topic and path in DevDocs based on the provided documentation name and topic. Don't for get to add some shots in the system prompt; for example, the documentation name should be like \"vuex~4\", \"css\", or \"python~3.12\", while the topic should be like \"guide/actions\" for Vuex 4, \"display-box\" for CSS, or \"library/code\" for Python 3.12. - zh_Hans: 一个用于根据提供的文档名称和主题，在DevDocs中搜索特定主题和路径的工具。不要忘记在系统提示词中添加一些示例；例如，文档名称应该是\"vuex~4\"、\"css\"或\"python~3.12\"，而主题应该是\"guide/actions\"用于Vuex 4，\"display-box\"用于CSS，或\"library/code\"用于Python 3.12。 - llm: A tools for searching for specific developer documentation in DevDocs based on the provided documentation name and topic. -parameters: - - name: doc - type: string - required: true - label: - en_US: Documentation name - zh_Hans: 文档名称 - human_description: - en_US: The name of the documentation. - zh_Hans: 文档名称。 - llm_description: The name of the documentation, such as \"vuex~4\", \"css\", or \"python~3.12\". The exact value should be identified by the user. - form: llm - - name: topic - type: string - required: true - label: - en_US: Topic name - zh_Hans: 主题名称 - human_description: - en_US: The path of the section/topic. - zh_Hans: 文档主题的路径。 - llm_description: The path of the section/topic, such as \"guide/actions\" for Vuex 4, \"display-box\" for CSS, or \"library/code\" for Python 3.12. - form: llm diff --git a/api/core/tools/provider/builtin/did/_assets/icon.svg b/api/core/tools/provider/builtin/did/_assets/icon.svg deleted file mode 100644 index c477d7cb71dea2..00000000000000 --- a/api/core/tools/provider/builtin/did/_assets/icon.svg +++ /dev/null @@ -1,14 +0,0 @@ - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/did/did.py b/api/core/tools/provider/builtin/did/did.py deleted file mode 100644 index 5af78794f625b7..00000000000000 --- a/api/core/tools/provider/builtin/did/did.py +++ /dev/null @@ -1,18 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.did.tools.talks import TalksTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class DIDProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - # Example validation using the D-ID talks tool - TalksTool().fork_tool_runtime(runtime={"credentials": credentials}).invoke( - user_id="", - tool_parameters={ - "source_url": "https://www.d-id.com/wp-content/uploads/2023/11/Hero-image-1.png", - "text_input": "Hello, welcome to use D-ID tool in Dify", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/did/did.yaml b/api/core/tools/provider/builtin/did/did.yaml deleted file mode 100644 index a70b71812e4648..00000000000000 --- a/api/core/tools/provider/builtin/did/did.yaml +++ /dev/null @@ -1,28 +0,0 @@ -identity: - author: Matri Qi - name: did - label: - en_US: D-ID - description: - en_US: D-ID is a tool enabling the creation of high-quality, custom videos of Digital Humans from a single image. - icon: icon.svg - tags: - - videos -credentials_for_provider: - did_api_key: - type: secret-input - required: true - label: - en_US: D-ID API Key - placeholder: - en_US: Please input your D-ID API key - help: - en_US: Get your D-ID API key from your D-ID account settings. - url: https://studio.d-id.com/account-settings - base_url: - type: text-input - required: false - label: - en_US: D-ID server's Base URL - placeholder: - en_US: https://api.d-id.com diff --git a/api/core/tools/provider/builtin/did/did_appx.py b/api/core/tools/provider/builtin/did/did_appx.py deleted file mode 100644 index dca62f9e198262..00000000000000 --- a/api/core/tools/provider/builtin/did/did_appx.py +++ /dev/null @@ -1,87 +0,0 @@ -import logging -import time -from collections.abc import Mapping -from typing import Any - -import requests -from requests.exceptions import HTTPError - -logger = logging.getLogger(__name__) - - -class DIDApp: - def __init__(self, api_key: str | None = None, base_url: str | None = None): - self.api_key = api_key - self.base_url = base_url or "https://api.d-id.com" - if not self.api_key: - raise ValueError("API key is required") - - def _prepare_headers(self, idempotency_key: str | None = None): - headers = {"Content-Type": "application/json", "Authorization": f"Basic {self.api_key}"} - if idempotency_key: - headers["Idempotency-Key"] = idempotency_key - return headers - - def _request( - self, - method: str, - url: str, - data: Mapping[str, Any] | None = None, - headers: Mapping[str, str] | None = None, - retries: int = 3, - backoff_factor: float = 0.3, - ) -> Mapping[str, Any] | None: - for i in range(retries): - try: - response = requests.request(method, url, json=data, headers=headers) - response.raise_for_status() - return response.json() - except requests.exceptions.RequestException as e: - if i < retries - 1 and isinstance(e, HTTPError) and e.response.status_code >= 500: - time.sleep(backoff_factor * (2**i)) - else: - raise - return None - - def talks(self, wait: bool = True, poll_interval: int = 5, idempotency_key: str | None = None, **kwargs): - endpoint = f"{self.base_url}/talks" - headers = self._prepare_headers(idempotency_key) - data = kwargs["params"] - logger.debug(f"Send request to {endpoint=} body={data}") - response = self._request("POST", endpoint, data, headers) - if response is None: - raise HTTPError("Failed to initiate D-ID talks after multiple retries") - id: str = response["id"] - if wait: - return self._monitor_job_status(id=id, target="talks", poll_interval=poll_interval) - return id - - def animations(self, wait: bool = True, poll_interval: int = 5, idempotency_key: str | None = None, **kwargs): - endpoint = f"{self.base_url}/animations" - headers = self._prepare_headers(idempotency_key) - data = kwargs["params"] - logger.debug(f"Send request to {endpoint=} body={data}") - response = self._request("POST", endpoint, data, headers) - if response is None: - raise HTTPError("Failed to initiate D-ID talks after multiple retries") - id: str = response["id"] - if wait: - return self._monitor_job_status(target="animations", id=id, poll_interval=poll_interval) - return id - - def check_did_status(self, target: str, id: str): - endpoint = f"{self.base_url}/{target}/{id}" - headers = self._prepare_headers() - response = self._request("GET", endpoint, headers=headers) - if response is None: - raise HTTPError(f"Failed to check status for talks {id} after multiple retries") - return response - - def _monitor_job_status(self, target: str, id: str, poll_interval: int): - while True: - status = self.check_did_status(target=target, id=id) - if status["status"] == "done": - return status - elif status["status"] == "error" or status["status"] == "rejected": - raise HTTPError(f"Talks {id} failed: {status['status']} {status.get('error', {}).get('description')}") - time.sleep(poll_interval) diff --git a/api/core/tools/provider/builtin/did/tools/animations.py b/api/core/tools/provider/builtin/did/tools/animations.py deleted file mode 100644 index bc9d17e40d2878..00000000000000 --- a/api/core/tools/provider/builtin/did/tools/animations.py +++ /dev/null @@ -1,49 +0,0 @@ -import json -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.did.did_appx import DIDApp -from core.tools.tool.builtin_tool import BuiltinTool - - -class AnimationsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - app = DIDApp(api_key=self.runtime.credentials["did_api_key"], base_url=self.runtime.credentials["base_url"]) - - driver_expressions_str = tool_parameters.get("driver_expressions") - driver_expressions = json.loads(driver_expressions_str) if driver_expressions_str else None - - config = { - "stitch": tool_parameters.get("stitch", True), - "mute": tool_parameters.get("mute"), - "result_format": tool_parameters.get("result_format") or "mp4", - } - config = {k: v for k, v in config.items() if v is not None and v != ""} - - options = { - "source_url": tool_parameters["source_url"], - "driver_url": tool_parameters.get("driver_url"), - "config": config, - } - options = {k: v for k, v in options.items() if v is not None and v != ""} - - if not options.get("source_url"): - raise ValueError("Source URL is required") - - if config.get("logo_url"): - if not config.get("logo_x"): - raise ValueError("Logo X position is required when logo URL is provided") - if not config.get("logo_y"): - raise ValueError("Logo Y position is required when logo URL is provided") - - animations_result = app.animations(params=options, wait=True) - - if not isinstance(animations_result, str): - animations_result = json.dumps(animations_result, ensure_ascii=False, indent=4) - - if not animations_result: - return self.create_text_message("D-ID animations request failed.") - - return self.create_text_message(animations_result) diff --git a/api/core/tools/provider/builtin/did/tools/animations.yaml b/api/core/tools/provider/builtin/did/tools/animations.yaml deleted file mode 100644 index 2a2036c7b2a88f..00000000000000 --- a/api/core/tools/provider/builtin/did/tools/animations.yaml +++ /dev/null @@ -1,86 +0,0 @@ -identity: - name: animations - author: Matri Qi - label: - en_US: Animations -description: - human: - en_US: Animations enables to create videos matching head movements, expressions, emotions, and voice from a driver video and image. - llm: Animations enables to create videos matching head movements, expressions, emotions, and voice from a driver video and image. -parameters: - - name: source_url - type: string - required: true - label: - en_US: source url - human_description: - en_US: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors. - llm_description: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors. - form: llm - - name: driver_url - type: string - required: false - label: - en_US: driver url - human_description: - en_US: The URL of the driver video to drive the animation, or a provided driver name from D-ID. - form: form - - name: mute - type: boolean - required: false - label: - en_US: mute - human_description: - en_US: Mutes the driver sound in the animated video result, defaults to true - form: form - - name: stitch - type: boolean - required: false - label: - en_US: stitch - human_description: - en_US: If enabled, the driver video will be stitched with the animationing head video. - form: form - - name: logo_url - type: string - required: false - label: - en_US: logo url - human_description: - en_US: The URL of the logo image to be added to the animation video. - form: form - - name: logo_x - type: number - required: false - label: - en_US: logo position x - human_description: - en_US: The x position of the logo image in the animation video. It's required when logo url is provided. - form: form - - name: logo_y - type: number - required: false - label: - en_US: logo position y - human_description: - en_US: The y position of the logo image in the animation video. It's required when logo url is provided. - form: form - - name: result_format - type: string - default: mp4 - required: false - label: - en_US: result format - human_description: - en_US: The format of the result video. - form: form - options: - - value: mp4 - label: - en_US: mp4 - - value: gif - label: - en_US: gif - - value: mov - label: - en_US: mov diff --git a/api/core/tools/provider/builtin/did/tools/talks.py b/api/core/tools/provider/builtin/did/tools/talks.py deleted file mode 100644 index d6f0c7ff179793..00000000000000 --- a/api/core/tools/provider/builtin/did/tools/talks.py +++ /dev/null @@ -1,65 +0,0 @@ -import json -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.did.did_appx import DIDApp -from core.tools.tool.builtin_tool import BuiltinTool - - -class TalksTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - app = DIDApp(api_key=self.runtime.credentials["did_api_key"], base_url=self.runtime.credentials["base_url"]) - - driver_expressions_str = tool_parameters.get("driver_expressions") - driver_expressions = json.loads(driver_expressions_str) if driver_expressions_str else None - - script = { - "type": tool_parameters.get("script_type") or "text", - "input": tool_parameters.get("text_input"), - "audio_url": tool_parameters.get("audio_url"), - "reduce_noise": tool_parameters.get("audio_reduce_noise", False), - } - script = {k: v for k, v in script.items() if v is not None and v != ""} - config = { - "stitch": tool_parameters.get("stitch", True), - "sharpen": tool_parameters.get("sharpen"), - "fluent": tool_parameters.get("fluent"), - "result_format": tool_parameters.get("result_format") or "mp4", - "pad_audio": tool_parameters.get("pad_audio"), - "driver_expressions": driver_expressions, - } - config = {k: v for k, v in config.items() if v is not None and v != ""} - - options = { - "source_url": tool_parameters["source_url"], - "driver_url": tool_parameters.get("driver_url"), - "script": script, - "config": config, - } - options = {k: v for k, v in options.items() if v is not None and v != ""} - - if not options.get("source_url"): - raise ValueError("Source URL is required") - - if script.get("type") == "audio": - script.pop("input", None) - if not script.get("audio_url"): - raise ValueError("Audio URL is required for audio script type") - - if script.get("type") == "text": - script.pop("audio_url", None) - script.pop("reduce_noise", None) - if not script.get("input"): - raise ValueError("Text input is required for text script type") - - talks_result = app.talks(params=options, wait=True) - - if not isinstance(talks_result, str): - talks_result = json.dumps(talks_result, ensure_ascii=False, indent=4) - - if not talks_result: - return self.create_text_message("D-ID talks request failed.") - - return self.create_text_message(talks_result) diff --git a/api/core/tools/provider/builtin/did/tools/talks.yaml b/api/core/tools/provider/builtin/did/tools/talks.yaml deleted file mode 100644 index 88d430512923e4..00000000000000 --- a/api/core/tools/provider/builtin/did/tools/talks.yaml +++ /dev/null @@ -1,126 +0,0 @@ -identity: - name: talks - author: Matri Qi - label: - en_US: Talks -description: - human: - en_US: Talks enables the creation of realistic talking head videos from text or audio inputs. - llm: Talks enables the creation of realistic talking head videos from text or audio inputs. -parameters: - - name: source_url - type: string - required: true - label: - en_US: source url - human_description: - en_US: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors. - llm_description: The URL of the source image to be animated by the driver video, or a selection from the list of provided studio actors. - form: llm - - name: driver_url - type: string - required: false - label: - en_US: driver url - human_description: - en_US: The URL of the driver video to drive the talk, or a provided driver name from D-ID. - form: form - - name: script_type - type: string - required: false - label: - en_US: script type - human_description: - en_US: The type of the script. - form: form - options: - - value: text - label: - en_US: text - - value: audio - label: - en_US: audio - - name: text_input - type: string - required: false - label: - en_US: text input - human_description: - en_US: The text input to be spoken by the talking head. Required when script type is text. - form: form - - name: audio_url - type: string - required: false - label: - en_US: audio url - human_description: - en_US: The URL of the audio file to be spoken by the talking head. Required when script type is audio. - form: form - - name: audio_reduce_noise - type: boolean - required: false - label: - en_US: audio reduce noise - human_description: - en_US: If enabled, the audio will be processed to reduce noise before being spoken by the talking head. It only works when script type is audio. - form: form - - name: stitch - type: boolean - required: false - label: - en_US: stitch - human_description: - en_US: If enabled, the driver video will be stitched with the talking head video. - form: form - - name: sharpen - type: boolean - required: false - label: - en_US: sharpen - human_description: - en_US: If enabled, the talking head video will be sharpened. - form: form - - name: result_format - type: string - required: false - label: - en_US: result format - human_description: - en_US: The format of the result video. - form: form - options: - - value: mp4 - label: - en_US: mp4 - - value: gif - label: - en_US: gif - - value: mov - label: - en_US: mov - - name: fluent - type: boolean - required: false - label: - en_US: fluent - human_description: - en_US: Interpolate between the last & first frames of the driver video When used together with pad_audio can create a seamless transition between videos of the same driver - form: form - - name: pad_audio - type: number - required: false - label: - en_US: pad audio - human_description: - en_US: Pad the audio with silence at the end (given in seconds) Will increase the video duration & the credits it consumes - form: form - min: 1 - max: 60 - - name: driver_expressions - type: string - required: false - label: - en_US: driver expressions - human_description: - en_US: timed expressions for animation. It should be an JSON array style string. Take D-ID documentation(https://docs.d-id.com/reference/createtalk) for more information. - form: form diff --git a/api/core/tools/provider/builtin/dingtalk/_assets/icon.svg b/api/core/tools/provider/builtin/dingtalk/_assets/icon.svg deleted file mode 100644 index b60653b7a59409..00000000000000 --- a/api/core/tools/provider/builtin/dingtalk/_assets/icon.svg +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/dingtalk/dingtalk.py b/api/core/tools/provider/builtin/dingtalk/dingtalk.py deleted file mode 100644 index be1d5e099c2246..00000000000000 --- a/api/core/tools/provider/builtin/dingtalk/dingtalk.py +++ /dev/null @@ -1,8 +0,0 @@ -from core.tools.provider.builtin.dingtalk.tools.dingtalk_group_bot import DingTalkGroupBotTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class DingTalkProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - DingTalkGroupBotTool() - pass diff --git a/api/core/tools/provider/builtin/dingtalk/dingtalk.yaml b/api/core/tools/provider/builtin/dingtalk/dingtalk.yaml deleted file mode 100644 index c922c140a8badc..00000000000000 --- a/api/core/tools/provider/builtin/dingtalk/dingtalk.yaml +++ /dev/null @@ -1,16 +0,0 @@ -identity: - author: Bowen Liang - name: dingtalk - label: - en_US: DingTalk - zh_Hans: 钉钉 - pt_BR: DingTalk - description: - en_US: DingTalk group robot - zh_Hans: 钉钉群机器人 - pt_BR: DingTalk group robot - icon: icon.svg - tags: - - social - - productivity -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.py b/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.py deleted file mode 100644 index f33ad5be59b403..00000000000000 --- a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.py +++ /dev/null @@ -1,89 +0,0 @@ -import base64 -import hashlib -import hmac -import logging -import time -import urllib.parse -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DingTalkGroupBotTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - Dingtalk custom group robot API docs: - https://open.dingtalk.com/document/orgapp/custom-robot-access - """ - content = tool_parameters.get("content") - if not content: - return self.create_text_message("Invalid parameter content") - - access_token = tool_parameters.get("access_token") - if not access_token: - return self.create_text_message( - "Invalid parameter access_token. " - "Regarding information about security details," - "please refer to the DingTalk docs:" - "https://open.dingtalk.com/document/robots/customize-robot-security-settings" - ) - - sign_secret = tool_parameters.get("sign_secret") - if not sign_secret: - return self.create_text_message( - "Invalid parameter sign_secret. " - "Regarding information about security details," - "please refer to the DingTalk docs:" - "https://open.dingtalk.com/document/robots/customize-robot-security-settings" - ) - - msgtype = "text" - api_url = "https://oapi.dingtalk.com/robot/send" - headers = { - "Content-Type": "application/json", - } - params = { - "access_token": access_token, - } - - self._apply_security_mechanism(params, sign_secret) - - payload = { - "msgtype": msgtype, - "text": { - "content": content, - }, - } - - try: - res = httpx.post(api_url, headers=headers, params=params, json=payload) - if res.is_success: - return self.create_text_message("Text message sent successfully") - else: - return self.create_text_message( - f"Failed to send the text message, status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message("Failed to send message to group chat bot. {}".format(e)) - - @staticmethod - def _apply_security_mechanism(params: dict[str, Any], sign_secret: str): - try: - timestamp = str(round(time.time() * 1000)) - secret_enc = sign_secret.encode("utf-8") - string_to_sign = f"{timestamp}\n{sign_secret}" - string_to_sign_enc = string_to_sign.encode("utf-8") - hmac_code = hmac.new(secret_enc, string_to_sign_enc, digestmod=hashlib.sha256).digest() - sign = urllib.parse.quote_plus(base64.b64encode(hmac_code)) - - params["timestamp"] = timestamp - params["sign"] = sign - except Exception: - msg = "Failed to apply security mechanism to the request." - logging.exception(msg) diff --git a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.yaml b/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.yaml deleted file mode 100644 index dc8a90b7193903..00000000000000 --- a/api/core/tools/provider/builtin/dingtalk/tools/dingtalk_group_bot.yaml +++ /dev/null @@ -1,52 +0,0 @@ -identity: - name: dingtalk_group_bot - author: Bowen Liang - label: - en_US: Send Group Message - zh_Hans: 发送群消息 - pt_BR: Send Group Message - icon: icon.svg -description: - human: - en_US: Sending a group message on DingTalk via the webhook of group bot - zh_Hans: 通过钉钉的群机器人webhook发送群消息 - pt_BR: Sending a group message on DingTalk via the webhook of group bot - llm: A tool for sending messages to a chat group on DingTalk(钉钉) . -parameters: - - name: access_token - type: secret-input - required: true - label: - en_US: access token - zh_Hans: access token - pt_BR: access token - human_description: - en_US: access_token in the group robot webhook - zh_Hans: 群自定义机器人webhook中access_token字段的值 - pt_BR: access_token in the group robot webhook - form: form - - name: sign_secret - type: secret-input - required: true - label: - en_US: secret key for signing - zh_Hans: 加签秘钥 - pt_BR: secret key for signing - human_description: - en_US: secret key for signing - zh_Hans: 加签秘钥 - pt_BR: secret key for signing - form: form - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - pt_BR: content - human_description: - en_US: Content to sent to the group. - zh_Hans: 群消息文本 - pt_BR: Content to sent to the group. - llm_description: Content of the message - form: llm diff --git a/api/core/tools/provider/builtin/discord/_assets/icon.svg b/api/core/tools/provider/builtin/discord/_assets/icon.svg deleted file mode 100644 index 177a0591f9cb08..00000000000000 --- a/api/core/tools/provider/builtin/discord/_assets/icon.svg +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/discord/discord.py b/api/core/tools/provider/builtin/discord/discord.py deleted file mode 100644 index c94824b591cd95..00000000000000 --- a/api/core/tools/provider/builtin/discord/discord.py +++ /dev/null @@ -1,9 +0,0 @@ -from typing import Any - -from core.tools.provider.builtin.discord.tools.discord_webhook import DiscordWebhookTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class DiscordProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - DiscordWebhookTool() diff --git a/api/core/tools/provider/builtin/discord/discord.yaml b/api/core/tools/provider/builtin/discord/discord.yaml deleted file mode 100644 index 18b249b5229a0e..00000000000000 --- a/api/core/tools/provider/builtin/discord/discord.yaml +++ /dev/null @@ -1,16 +0,0 @@ -identity: - author: Ice Yao - name: discord - label: - en_US: Discord - zh_Hans: Discord - pt_BR: Discord - description: - en_US: Discord Webhook - zh_Hans: Discord Webhook - pt_BR: Discord Webhook - icon: icon.svg - tags: - - social - - productivity -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/discord/tools/discord_webhook.py b/api/core/tools/provider/builtin/discord/tools/discord_webhook.py deleted file mode 100644 index c1834a1a265be2..00000000000000 --- a/api/core/tools/provider/builtin/discord/tools/discord_webhook.py +++ /dev/null @@ -1,49 +0,0 @@ -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DiscordWebhookTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Incoming Webhooks - API Document: - https://discord.com/developers/docs/resources/webhook#execute-webhook - """ - - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - webhook_url = tool_parameters.get("webhook_url", "") - if not webhook_url.startswith("https://discord.com/api/webhooks/"): - return self.create_text_message( - f"Invalid parameter webhook_url ${webhook_url}, \ - not a valid Discord webhook URL" - ) - - headers = { - "Content-Type": "application/json", - } - payload = { - "username": tool_parameters.get("username") or user_id, - "content": content, - "avatar_url": tool_parameters.get("avatar_url") or None, - } - - try: - res = httpx.post(webhook_url, headers=headers, json=payload) - if res.is_success: - return self.create_text_message("Text message was sent successfully") - else: - return self.create_text_message( - f"Failed to send the text message, \ - status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message("Failed to send message through webhook. {}".format(e)) diff --git a/api/core/tools/provider/builtin/discord/tools/discord_webhook.yaml b/api/core/tools/provider/builtin/discord/tools/discord_webhook.yaml deleted file mode 100644 index 6847b973cabd19..00000000000000 --- a/api/core/tools/provider/builtin/discord/tools/discord_webhook.yaml +++ /dev/null @@ -1,65 +0,0 @@ -identity: - name: discord_webhook - author: Ice Yao - label: - en_US: Incoming Webhook to send message - zh_Hans: 通过入站Webhook发送消息 - pt_BR: Incoming Webhook to send message - icon: icon.svg -description: - human: - en_US: Sending a message on Discord via the Incoming Webhook - zh_Hans: 通过入站Webhook在Discord上发送消息 - pt_BR: Sending a message on Discord via the Incoming Webhook - llm: A tool for sending messages to a chat on Discord. -parameters: - - name: webhook_url - type: string - required: true - label: - en_US: Discord Incoming Webhook url - zh_Hans: Discord入站Webhook的url - pt_BR: Discord Incoming Webhook url - human_description: - en_US: Discord Incoming Webhook url - zh_Hans: Discord入站Webhook的url - pt_BR: Discord Incoming Webhook url - form: form - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - pt_BR: content - human_description: - en_US: Content to sent to the channel or person. - zh_Hans: 消息内容文本 - pt_BR: Content to sent to the channel or person. - llm_description: Content of the message - form: llm - - name: username - type: string - required: false - label: - en_US: Discord Webhook Username - zh_Hans: Discord Webhook用户名 - pt_BR: Discord Webhook Username - human_description: - en_US: Discord Webhook Username - zh_Hans: Discord Webhook用户名 - pt_BR: Discord Webhook Username - llm_description: Discord Webhook Username - form: llm - - name: avatar_url - type: string - required: false - label: - en_US: Discord Webhook Avatar - zh_Hans: Discord Webhook头像 - pt_BR: Discord Webhook Avatar - human_description: - en_US: Discord Webhook Avatar URL - zh_Hans: Discord Webhook头像地址 - pt_BR: Discord Webhook Avatar URL - form: form diff --git a/api/core/tools/provider/builtin/duckduckgo/_assets/icon.svg b/api/core/tools/provider/builtin/duckduckgo/_assets/icon.svg deleted file mode 100644 index a816a6b49ebb78..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py b/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py deleted file mode 100644 index 8269167127b8e5..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py +++ /dev/null @@ -1,20 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.duckduckgo.tools.ddgo_search import DuckDuckGoSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class DuckDuckGoProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - DuckDuckGoSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "query": "John Doe", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.yaml b/api/core/tools/provider/builtin/duckduckgo/duckduckgo.yaml deleted file mode 100644 index f3faa060455772..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.yaml +++ /dev/null @@ -1,12 +0,0 @@ -identity: - author: Yash Parmar - name: duckduckgo - label: - en_US: DuckDuckGo - zh_Hans: DuckDuckGo - description: - en_US: A privacy-focused search engine. - zh_Hans: 一个注重隐私的搜索引擎。 - icon: icon.svg - tags: - - search diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py deleted file mode 100644 index 8bdd638f4a01d1..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from duckduckgo_search import DDGS - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DuckDuckGoAITool(BuiltinTool): - """ - Tool for performing a search using DuckDuckGo search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - query_dict = { - "keywords": tool_parameters.get("query"), - "model": tool_parameters.get("model"), - } - response = DDGS().chat(**query_dict) - return self.create_text_message(text=response) diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml deleted file mode 100644 index dd049d3b5a13d2..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml +++ /dev/null @@ -1,47 +0,0 @@ -identity: - name: ddgo_ai - author: hjlarry - label: - en_US: DuckDuckGo AI Chat - zh_Hans: DuckDuckGo AI聊天 -description: - human: - en_US: Use the anonymous private chat provided by DuckDuckGo. - zh_Hans: 使用DuckDuckGo提供的匿名私密聊天。 - llm: Use the anonymous private chat provided by DuckDuckGo. -parameters: - - name: query - type: string - required: true - label: - en_US: Chat Content - zh_Hans: 聊天内容 - human_description: - en_US: The chat content. - zh_Hans: 要聊天的内容。 - llm_description: Key words for chat - form: llm - - name: model - type: select - required: true - options: - - value: gpt-4o-mini - label: - en_US: GPT-4o-mini - - value: claude-3-haiku - label: - en_US: Claude 3 - - value: llama-3-70b - label: - en_US: Llama 3 - - value: mixtral-8x7b - label: - en_US: Mixtral - default: gpt-4o-mini - label: - en_US: Choose Model - zh_Hans: 选择模型 - human_description: - en_US: used to select the model for AI chat. - zh_Hans: 用于选择使用AI聊天的模型 - form: form diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py deleted file mode 100644 index b3c630878f3c62..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py +++ /dev/null @@ -1,33 +0,0 @@ -from typing import Any - -from duckduckgo_search import DDGS - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DuckDuckGoImageSearchTool(BuiltinTool): - """ - Tool for performing an image search using DuckDuckGo search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]: - query_dict = { - "keywords": tool_parameters.get("query"), - "timelimit": tool_parameters.get("timelimit"), - "size": tool_parameters.get("size"), - "max_results": tool_parameters.get("max_results"), - } - - # Add query_prefix handling - query_prefix = tool_parameters.get("query_prefix", "").strip() - final_query = f"{query_prefix} {query_dict['keywords']}".strip() - query_dict["keywords"] = final_query - - response = DDGS().images(**query_dict) - markdown_result = "\n\n" - json_result = [] - for res in response: - markdown_result += f"![{res.get('title') or ''}]({res.get('image') or ''})" - json_result.append(self.create_json_message(res)) - return [self.create_text_message(markdown_result)] + json_result diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml deleted file mode 100644 index a543d1e218b578..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml +++ /dev/null @@ -1,99 +0,0 @@ -identity: - name: ddgo_img - author: hjlarry - label: - en_US: DuckDuckGo Image Search - zh_Hans: DuckDuckGo 图片搜索 -description: - human: - en_US: Perform image searches on DuckDuckGo and get results. - zh_Hans: 在 DuckDuckGo 上进行图片搜索并获取结果。 - llm: Perform image searches on DuckDuckGo and get results. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - human_description: - en_US: The search query. - zh_Hans: 搜索查询语句。 - llm_description: Key words for searching - form: llm - - name: max_results - type: number - required: true - default: 3 - label: - en_US: Max results - zh_Hans: 最大结果数量 - human_description: - en_US: The max results. - zh_Hans: 最大结果数量 - form: form - - name: timelimit - type: select - required: false - options: - - value: Day - label: - en_US: current day - zh_Hans: 当天 - - value: Week - label: - en_US: current week - zh_Hans: 本周 - - value: Month - label: - en_US: current month - zh_Hans: 当月 - - value: Year - label: - en_US: current year - zh_Hans: 今年 - label: - en_US: Result time limit - zh_Hans: 结果时间限制 - human_description: - en_US: Use when querying results within a specific time range only. - zh_Hans: 只查询一定时间范围内的结果时使用 - form: form - - name: size - type: select - required: false - options: - - value: Small - label: - en_US: small - zh_Hans: 小 - - value: Medium - label: - en_US: medium - zh_Hans: 中 - - value: Large - label: - en_US: large - zh_Hans: 大 - - value: Wallpaper - label: - en_US: xl - zh_Hans: 超大 - label: - en_US: image size - zh_Hans: 图片大小 - human_description: - en_US: The size of the image to be searched. - zh_Hans: 要搜索的图片的大小 - form: form - - name: query_prefix - label: - en_US: Query Prefix - zh_Hans: 查询前缀 - type: string - required: false - default: "" - form: form - human_description: - en_US: Specific Search e.g. "site:unsplash.com" - zh_Hans: 定向搜索 e.g. "site:unsplash.com" diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.py deleted file mode 100644 index 11da6f5cf76580..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.py +++ /dev/null @@ -1,93 +0,0 @@ -from typing import Any - -from duckduckgo_search import DDGS - -from core.model_runtime.entities.message_entities import SystemPromptMessage -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SUMMARY_PROMPT = """ -User's query: -{query} - -Here are the news results: -{content} - -Please summarize the news in a few sentences. -""" - - -class DuckDuckGoNewsSearchTool(BuiltinTool): - """ - Tool for performing a news search using DuckDuckGo search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - query_dict = { - "keywords": tool_parameters.get("query"), - "timelimit": tool_parameters.get("timelimit"), - "max_results": tool_parameters.get("max_results"), - "safesearch": "moderate", - "region": "wt-wt", - } - - # Add query_prefix handling - query_prefix = tool_parameters.get("query_prefix", "").strip() - final_query = f"{query_prefix} {query_dict['keywords']}".strip() - query_dict["keywords"] = final_query - - try: - response = list(DDGS().news(**query_dict)) - if not response: - return [self.create_text_message("No news found matching your criteria.")] - except Exception as e: - return [self.create_text_message(f"Error searching news: {str(e)}")] - - require_summary = tool_parameters.get("require_summary", False) - - if require_summary: - results = "\n".join([f"{res.get('title')}: {res.get('body')}" for res in response]) - results = self.summary_results(user_id=user_id, content=results, query=query_dict["keywords"]) - return self.create_text_message(text=results) - - # Create rich markdown content for each news item - markdown_result = "\n\n" - json_result = [] - - for res in response: - markdown_result += f"### {res.get('title', 'Untitled')}\n\n" - if res.get("date"): - markdown_result += f"**Date:** {res.get('date')}\n\n" - if res.get("body"): - markdown_result += f"{res.get('body')}\n\n" - if res.get("source"): - markdown_result += f"*Source: {res.get('source')}*\n\n" - if res.get("image"): - markdown_result += f"![{res.get('title', '')}]({res.get('image')})\n\n" - markdown_result += f"[Read more]({res.get('url', '')})\n\n---\n\n" - - json_result.append( - self.create_json_message( - { - "title": res.get("title", ""), - "date": res.get("date", ""), - "body": res.get("body", ""), - "url": res.get("url", ""), - "image": res.get("image", ""), - "source": res.get("source", ""), - } - ) - ) - - return [self.create_text_message(markdown_result)] + json_result - - def summary_results(self, user_id: str, content: str, query: str) -> str: - prompt = SUMMARY_PROMPT.format(query=query, content=content) - summary = self.invoke_model( - user_id=user_id, - prompt_messages=[ - SystemPromptMessage(content=prompt), - ], - stop=[], - ) - return summary.message.content diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.yaml deleted file mode 100644 index 6e181e0f41c22f..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_news.yaml +++ /dev/null @@ -1,82 +0,0 @@ -identity: - name: ddgo_news - author: Assistant - label: - en_US: DuckDuckGo News Search - zh_Hans: DuckDuckGo 新闻搜索 -description: - human: - en_US: Perform news searches on DuckDuckGo and get results. - zh_Hans: 在 DuckDuckGo 上进行新闻搜索并获取结果。 - llm: Perform news searches on DuckDuckGo and get results. -parameters: - - name: query - type: string - required: true - label: - en_US: Query String - zh_Hans: 查询语句 - human_description: - en_US: Search Query. - zh_Hans: 搜索查询语句。 - llm_description: Key words for searching - form: llm - - name: max_results - type: number - required: true - default: 5 - label: - en_US: Max Results - zh_Hans: 最大结果数量 - human_description: - en_US: The Max Results - zh_Hans: 最大结果数量 - form: form - - name: timelimit - type: select - required: false - options: - - value: Day - label: - en_US: Current Day - zh_Hans: 当天 - - value: Week - label: - en_US: Current Week - zh_Hans: 本周 - - value: Month - label: - en_US: Current Month - zh_Hans: 当月 - - value: Year - label: - en_US: Current Year - zh_Hans: 今年 - label: - en_US: Result Time Limit - zh_Hans: 结果时间限制 - human_description: - en_US: Use when querying results within a specific time range only. - zh_Hans: 只查询一定时间范围内的结果时使用 - form: form - - name: require_summary - type: boolean - default: false - label: - en_US: Require Summary - zh_Hans: 是否总结 - human_description: - en_US: Whether to pass the news results to llm for summarization. - zh_Hans: 是否需要将新闻结果传给大模型总结 - form: form - - name: query_prefix - label: - en_US: Query Prefix - zh_Hans: 查询前缀 - type: string - required: false - default: "" - form: form - human_description: - en_US: Specific Search e.g. "site:msn.com" - zh_Hans: 定向搜索 e.g. "site:msn.com" diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py deleted file mode 100644 index 3cd35d16a6f460..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py +++ /dev/null @@ -1,50 +0,0 @@ -from typing import Any - -from duckduckgo_search import DDGS - -from core.model_runtime.entities.message_entities import SystemPromptMessage -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SUMMARY_PROMPT = """ -User's query: -{query} - -Here is the search engine result: -{content} - -Please summarize the result in a few sentences. -""" - - -class DuckDuckGoSearchTool(BuiltinTool): - """ - Tool for performing a search using DuckDuckGo search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - query = tool_parameters.get("query") - max_results = tool_parameters.get("max_results", 5) - require_summary = tool_parameters.get("require_summary", False) - - # Add query_prefix handling - query_prefix = tool_parameters.get("query_prefix", "").strip() - final_query = f"{query_prefix} {query}".strip() - - response = DDGS().text(final_query, max_results=max_results) - if require_summary: - results = "\n".join([res.get("body") for res in response]) - results = self.summary_results(user_id=user_id, content=results, query=query) - return self.create_text_message(text=results) - return [self.create_json_message(res) for res in response] - - def summary_results(self, user_id: str, content: str, query: str) -> str: - prompt = SUMMARY_PROMPT.format(query=query, content=content) - summary = self.invoke_model( - user_id=user_id, - prompt_messages=[ - SystemPromptMessage(content=prompt), - ], - stop=[], - ) - return summary.message.content diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml deleted file mode 100644 index 54e27d9905da12..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml +++ /dev/null @@ -1,52 +0,0 @@ -identity: - name: ddgo_search - author: Yash Parmar - label: - en_US: DuckDuckGo Search - zh_Hans: DuckDuckGo 搜索 -description: - human: - en_US: Perform searches on DuckDuckGo and get results. - zh_Hans: 在 DuckDuckGo 上进行搜索并获取结果。 - llm: Perform searches on DuckDuckGo and get results. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - human_description: - en_US: The search query. - zh_Hans: 搜索查询语句。 - llm_description: Key words for searching - form: llm - - name: max_results - type: number - required: true - default: 5 - label: - en_US: Max results - zh_Hans: 最大结果数量 - form: form - - name: require_summary - type: boolean - default: false - label: - en_US: Require Summary - zh_Hans: 是否总结 - human_description: - en_US: Whether to pass the search results to llm for summarization. - zh_Hans: 是否需要将搜索结果传给大模型总结 - form: form - - name: query_prefix - label: - en_US: Query Prefix - zh_Hans: 查询前缀 - type: string - required: false - default: "" - form: form - human_description: - en_US: Specific Search e.g. "site:wikipedia.org" - zh_Hans: 定向搜索 e.g. "site:wikipedia.org" diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py deleted file mode 100644 index 396ce21b183afc..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from duckduckgo_search import DDGS - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DuckDuckGoTranslateTool(BuiltinTool): - """ - Tool for performing a search using DuckDuckGo search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - query_dict = { - "keywords": tool_parameters.get("query"), - "to": tool_parameters.get("translate_to"), - } - response = DDGS().translate(**query_dict)[0].get("translated", "Unable to translate!") - return self.create_text_message(text=response) diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml deleted file mode 100644 index 78b5d0b02275b2..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml +++ /dev/null @@ -1,51 +0,0 @@ -identity: - name: ddgo_translate - author: hjlarry - label: - en_US: DuckDuckGo Translate - zh_Hans: DuckDuckGo 翻译 -description: - human: - en_US: Use DuckDuckGo's translation feature. - zh_Hans: 使用DuckDuckGo的翻译功能。 - llm: Use DuckDuckGo's translation feature. -parameters: - - name: query - type: string - required: true - label: - en_US: Translate Content - zh_Hans: 翻译内容 - human_description: - en_US: The translate content. - zh_Hans: 要翻译的内容。 - llm_description: Key words for translate - form: llm - - name: translate_to - type: select - required: true - options: - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: zh-Hans - label: - en_US: Simplified Chinese - zh_Hans: 简体中文 - - value: zh-Hant - label: - en_US: Traditional Chinese - zh_Hans: 繁体中文 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - default: en - label: - en_US: Choose Language - zh_Hans: 选择语言 - human_description: - en_US: select the language to translate. - zh_Hans: 选择要翻译的语言 - form: form diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.py deleted file mode 100644 index 1eef0b1ba23d42..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.py +++ /dev/null @@ -1,91 +0,0 @@ -from typing import Any, ClassVar - -from duckduckgo_search import DDGS - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DuckDuckGoVideoSearchTool(BuiltinTool): - """ - Tool for performing a video search using DuckDuckGo search engine. - """ - - IFRAME_TEMPLATE: ClassVar[str] = """ -

""" - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]: - query_dict = { - "keywords": tool_parameters.get("query"), # LLM's query - "region": tool_parameters.get("region", "wt-wt"), - "safesearch": tool_parameters.get("safesearch", "moderate"), - "timelimit": tool_parameters.get("timelimit"), - "resolution": tool_parameters.get("resolution"), - "duration": tool_parameters.get("duration"), - "license_videos": tool_parameters.get("license_videos"), - "max_results": tool_parameters.get("max_results"), - } - - # Remove None values to use API defaults - query_dict = {k: v for k, v in query_dict.items() if v is not None} - - # Get proxy URL from parameters - proxy_url = tool_parameters.get("proxy_url", "").strip() - - query_prefix = tool_parameters.get("query_prefix", "").strip() - final_query = f"{query_prefix} {query_dict['keywords']}".strip() - - # Update the keywords in query_dict with the final_query - query_dict["keywords"] = final_query - - response = DDGS().videos(**query_dict) - - # Create HTML result with embedded iframes - markdown_result = "\n\n" - json_result = [] - - for res in response: - title = res.get("title", "") - embed_html = res.get("embed_html", "") - description = res.get("description", "") - content_url = res.get("content", "") - transcript_url = None - - # Handle TED.com videos - if "ted.com/talks" in content_url: - # Create transcript URL - transcript_url = f"{content_url}/transcript" - # Create embed URL - embed_url = content_url.replace("www.ted.com", "embed.ted.com") - if proxy_url: - embed_url = f"{proxy_url}{embed_url}" - embed_html = self.IFRAME_TEMPLATE.format(src=embed_url) - - # Original YouTube/other platform handling - elif embed_html: - embed_url = res.get("embed_url", "") - if proxy_url and embed_url: - embed_url = f"{proxy_url}{embed_url}" - embed_html = self.IFRAME_TEMPLATE.format(src=embed_url) - - markdown_result += f"{title}\n\n" - markdown_result += f"{embed_html}\n\n" - if description: - markdown_result += f"{description}\n\n" - markdown_result += "---\n\n" - - # Add transcript_url to the JSON result if available - result_dict = res.copy() - if transcript_url: - result_dict["transcript_url"] = transcript_url - json_result.append(self.create_json_message(result_dict)) - - return [self.create_text_message(markdown_result)] + json_result diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.yaml deleted file mode 100644 index d846244e3dfcbd..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_video.yaml +++ /dev/null @@ -1,108 +0,0 @@ -identity: - name: ddgo_video - author: Tao Wang - label: - en_US: DuckDuckGo Video Search - zh_Hans: DuckDuckGo 视频搜索 -description: - human: - en_US: Search and embedded videos. - zh_Hans: 搜索并嵌入视频 - llm: Search videos on duckduckgo and embed videos in iframe -parameters: - - name: query - label: - en_US: Query String - zh_Hans: 查询语句 - type: string - required: true - human_description: - en_US: Search Query - zh_Hans: 搜索查询语句 - llm_description: Key words for searching - form: llm - - name: max_results - label: - en_US: Max Results - zh_Hans: 最大结果数量 - type: number - required: true - default: 3 - minimum: 1 - maximum: 10 - human_description: - en_US: The max results (1-10) - zh_Hans: 最大结果数量（1-10） - form: form - - name: timelimit - label: - en_US: Result Time Limit - zh_Hans: 结果时间限制 - type: select - required: false - options: - - value: Day - label: - en_US: Current Day - zh_Hans: 当天 - - value: Week - label: - en_US: Current Week - zh_Hans: 本周 - - value: Month - label: - en_US: Current Month - zh_Hans: 当月 - - value: Year - label: - en_US: Current Year - zh_Hans: 今年 - human_description: - en_US: Query results within a specific time range only - zh_Hans: 只查询一定时间范围内的结果时使用 - form: form - - name: duration - label: - en_US: Video Duration - zh_Hans: 视频时长 - type: select - required: false - options: - - value: short - label: - en_US: Short (<4 minutes) - zh_Hans: 短视频（<4分钟） - - value: medium - label: - en_US: Medium (4-20 minutes) - zh_Hans: 中等（4-20分钟） - - value: long - label: - en_US: Long (>20 minutes) - zh_Hans: 长视频（>20分钟） - human_description: - en_US: Filter videos by duration - zh_Hans: 按时长筛选视频 - form: form - - name: proxy_url - label: - en_US: Proxy URL - zh_Hans: 视频代理地址 - type: string - required: false - default: "" - human_description: - en_US: Proxy URL - zh_Hans: 视频代理地址 - form: form - - name: query_prefix - label: - en_US: Query Prefix - zh_Hans: 查询前缀 - type: string - required: false - default: "" - form: form - human_description: - en_US: Specific Search e.g. "site:www.ted.com" - zh_Hans: 定向搜索 e.g. "site:www.ted.com" diff --git a/api/core/tools/provider/builtin/email/_assets/icon.svg b/api/core/tools/provider/builtin/email/_assets/icon.svg deleted file mode 100644 index b34f333890bc1a..00000000000000 --- a/api/core/tools/provider/builtin/email/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - diff --git a/api/core/tools/provider/builtin/email/email.py b/api/core/tools/provider/builtin/email/email.py deleted file mode 100644 index 182d8dac28efea..00000000000000 --- a/api/core/tools/provider/builtin/email/email.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin.email.tools.send_mail import SendMailTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SmtpProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - SendMailTool() diff --git a/api/core/tools/provider/builtin/email/email.yaml b/api/core/tools/provider/builtin/email/email.yaml deleted file mode 100644 index bb1bb7f6f3e972..00000000000000 --- a/api/core/tools/provider/builtin/email/email.yaml +++ /dev/null @@ -1,83 +0,0 @@ -identity: - author: wakaka6 - name: email - label: - en_US: email - zh_Hans: 电子邮件 - description: - en_US: send email through smtp protocol - zh_Hans: 通过smtp协议发送电子邮件 - icon: icon.svg - tags: - - utilities -credentials_for_provider: - email_account: - type: text-input - required: true - label: - en_US: email account - zh_Hans: 邮件账号 - placeholder: - en_US: input you email account - zh_Hans: 输入你的邮箱账号 - help: - en_US: email account - zh_Hans: 邮件账号 - email_password: - type: secret-input - required: true - label: - en_US: email password - zh_Hans: 邮件密码 - placeholder: - en_US: email password - zh_Hans: 邮件密码 - help: - en_US: email password - zh_Hans: 邮件密码 - smtp_server: - type: text-input - required: true - label: - en_US: smtp server - zh_Hans: 发信smtp服务器地址 - placeholder: - en_US: smtp server - zh_Hans: 发信smtp服务器地址 - help: - en_US: smtp server - zh_Hans: 发信smtp服务器地址 - smtp_port: - type: text-input - required: true - label: - en_US: smtp server port - zh_Hans: 发信smtp服务器端口 - placeholder: - en_US: smtp server port - zh_Hans: 发信smtp服务器端口 - help: - en_US: smtp server port - zh_Hans: 发信smtp服务器端口 - encrypt_method: - type: select - required: true - options: - - value: NONE - label: - en_US: NONE - zh_Hans: 无加密 - - value: SSL - label: - en_US: SSL - zh_Hans: SSL加密 - - value: TLS - label: - en_US: START TLS - zh_Hans: START TLS加密 - label: - en_US: encrypt method - zh_Hans: 加密方式 - help: - en_US: smtp server encrypt method - zh_Hans: 发信smtp服务器加密方式 diff --git a/api/core/tools/provider/builtin/email/tools/send.py b/api/core/tools/provider/builtin/email/tools/send.py deleted file mode 100644 index 2012d8b1156fb5..00000000000000 --- a/api/core/tools/provider/builtin/email/tools/send.py +++ /dev/null @@ -1,53 +0,0 @@ -import logging -import smtplib -import ssl -from email.mime.multipart import MIMEMultipart -from email.mime.text import MIMEText - -from pydantic import BaseModel - - -class SendEmailToolParameters(BaseModel): - smtp_server: str - smtp_port: int - - email_account: str - email_password: str - - sender_to: str - subject: str - email_content: str - encrypt_method: str - - -def send_mail(params: SendEmailToolParameters): - timeout = 60 - msg = MIMEMultipart("alternative") - msg["From"] = params.email_account - msg["To"] = params.sender_to - msg["Subject"] = params.subject - msg.attach(MIMEText(params.email_content, "plain")) - msg.attach(MIMEText(params.email_content, "html")) - - ctx = ssl.create_default_context() - - if params.encrypt_method.upper() == "SSL": - try: - with smtplib.SMTP_SSL(params.smtp_server, params.smtp_port, context=ctx, timeout=timeout) as server: - server.login(params.email_account, params.email_password) - server.sendmail(params.email_account, params.sender_to, msg.as_string()) - return True - except Exception as e: - logging.exception("send email failed") - return False - else: # NONE or TLS - try: - with smtplib.SMTP(params.smtp_server, params.smtp_port, timeout=timeout) as server: - if params.encrypt_method.upper() == "TLS": - server.starttls(context=ctx) - server.login(params.email_account, params.email_password) - server.sendmail(params.email_account, params.sender_to, msg.as_string()) - return True - except Exception as e: - logging.exception("send email failed") - return False diff --git a/api/core/tools/provider/builtin/email/tools/send_mail.py b/api/core/tools/provider/builtin/email/tools/send_mail.py deleted file mode 100644 index 33c040400ca14a..00000000000000 --- a/api/core/tools/provider/builtin/email/tools/send_mail.py +++ /dev/null @@ -1,66 +0,0 @@ -import re -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.email.tools.send import ( - SendEmailToolParameters, - send_mail, -) -from core.tools.tool.builtin_tool import BuiltinTool - - -class SendMailTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - sender = self.runtime.credentials.get("email_account", "") - email_rgx = re.compile(r"^[a-zA-Z0-9._-]+@[a-zA-Z0-9_-]+(\.[a-zA-Z0-9_-]+)+$") - password = self.runtime.credentials.get("email_password", "") - smtp_server = self.runtime.credentials.get("smtp_server", "") - if not smtp_server: - return self.create_text_message("please input smtp server") - smtp_port = self.runtime.credentials.get("smtp_port", "") - try: - smtp_port = int(smtp_port) - except ValueError: - return self.create_text_message("Invalid parameter smtp_port(should be int)") - - if not sender: - return self.create_text_message("please input sender") - if not email_rgx.match(sender): - return self.create_text_message("Invalid parameter userid, the sender is not a mailbox") - - receiver_email = tool_parameters["send_to"] - if not receiver_email: - return self.create_text_message("please input receiver email") - if not email_rgx.match(receiver_email): - return self.create_text_message("Invalid parameter receiver email, the receiver email is not a mailbox") - email_content = tool_parameters.get("email_content", "") - - if not email_content: - return self.create_text_message("please input email content") - - subject = tool_parameters.get("subject", "") - if not subject: - return self.create_text_message("please input email subject") - - encrypt_method = self.runtime.credentials.get("encrypt_method", "") - if not encrypt_method: - return self.create_text_message("please input encrypt method") - - send_email_params = SendEmailToolParameters( - smtp_server=smtp_server, - smtp_port=smtp_port, - email_account=sender, - email_password=password, - sender_to=receiver_email, - subject=subject, - email_content=email_content, - encrypt_method=encrypt_method, - ) - if send_mail(send_email_params): - return self.create_text_message("send email success") - return self.create_text_message("send email failed") diff --git a/api/core/tools/provider/builtin/email/tools/send_mail.yaml b/api/core/tools/provider/builtin/email/tools/send_mail.yaml deleted file mode 100644 index f54880bf3e9e22..00000000000000 --- a/api/core/tools/provider/builtin/email/tools/send_mail.yaml +++ /dev/null @@ -1,46 +0,0 @@ -identity: - name: send_mail - author: wakaka6 - label: - en_US: send email - zh_Hans: 发送邮件 - icon: icon.svg -description: - human: - en_US: A tool for sending email - zh_Hans: 用于发送邮件 - llm: A tool for sending email -parameters: - - name: send_to - type: string - required: true - label: - en_US: Recipient email account - zh_Hans: 收件人邮箱账号 - human_description: - en_US: Recipient email account - zh_Hans: 收件人邮箱账号 - llm_description: Recipient email account - form: llm - - name: subject - type: string - required: true - label: - en_US: email subject - zh_Hans: 邮件主题 - human_description: - en_US: email subject - zh_Hans: 邮件主题 - llm_description: email subject - form: llm - - name: email_content - type: string - required: true - label: - en_US: email content - zh_Hans: 邮件内容 - human_description: - en_US: email content - zh_Hans: 邮件内容 - llm_description: email content - form: llm diff --git a/api/core/tools/provider/builtin/email/tools/send_mail_batch.py b/api/core/tools/provider/builtin/email/tools/send_mail_batch.py deleted file mode 100644 index 537dedb27d530f..00000000000000 --- a/api/core/tools/provider/builtin/email/tools/send_mail_batch.py +++ /dev/null @@ -1,75 +0,0 @@ -import json -import re -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.email.tools.send import ( - SendEmailToolParameters, - send_mail, -) -from core.tools.tool.builtin_tool import BuiltinTool - - -class SendMailTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - sender = self.runtime.credentials.get("email_account", "") - email_rgx = re.compile(r"^[a-zA-Z0-9._-]+@[a-zA-Z0-9_-]+(\.[a-zA-Z0-9_-]+)+$") - password = self.runtime.credentials.get("email_password", "") - smtp_server = self.runtime.credentials.get("smtp_server", "") - if not smtp_server: - return self.create_text_message("please input smtp server") - smtp_port = self.runtime.credentials.get("smtp_port", "") - try: - smtp_port = int(smtp_port) - except ValueError: - return self.create_text_message("Invalid parameter smtp_port(should be int)") - - if not sender: - return self.create_text_message("please input sender") - if not email_rgx.match(sender): - return self.create_text_message("Invalid parameter userid, the sender is not a mailbox") - - receivers_email = tool_parameters["send_to"] - if not receivers_email: - return self.create_text_message("please input receiver email") - receivers_email = json.loads(receivers_email) - for receiver in receivers_email: - if not email_rgx.match(receiver): - return self.create_text_message( - f"Invalid parameter receiver email, the receiver email({receiver}) is not a mailbox" - ) - email_content = tool_parameters.get("email_content", "") - - if not email_content: - return self.create_text_message("please input email content") - - subject = tool_parameters.get("subject", "") - if not subject: - return self.create_text_message("please input email subject") - - encrypt_method = self.runtime.credentials.get("encrypt_method", "") - if not encrypt_method: - return self.create_text_message("please input encrypt method") - - msg = {} - for receiver in receivers_email: - send_email_params = SendEmailToolParameters( - smtp_server=smtp_server, - smtp_port=smtp_port, - email_account=sender, - email_password=password, - sender_to=receiver, - subject=subject, - email_content=email_content, - encrypt_method=encrypt_method, - ) - if send_mail(send_email_params): - msg[receiver] = "send email success" - else: - msg[receiver] = "send email failed" - return self.create_text_message(json.dumps(msg)) diff --git a/api/core/tools/provider/builtin/email/tools/send_mail_batch.yaml b/api/core/tools/provider/builtin/email/tools/send_mail_batch.yaml deleted file mode 100644 index 6e4aa785cb946e..00000000000000 --- a/api/core/tools/provider/builtin/email/tools/send_mail_batch.yaml +++ /dev/null @@ -1,46 +0,0 @@ -identity: - name: send_mail_batch - author: wakaka6 - label: - en_US: send email to multiple recipients - zh_Hans: 发送邮件给多个收件人 - icon: icon.svg -description: - human: - en_US: A tool for sending email to multiple recipients - zh_Hans: 用于发送邮件给多个收件人的工具 - llm: A tool for sending email to multiple recipients -parameters: - - name: send_to - type: string - required: true - label: - en_US: Recipient email account(json list) - zh_Hans: 收件人邮箱账号(json list) - human_description: - en_US: Recipient email account - zh_Hans: 收件人邮箱账号 - llm_description: A list of recipient email account(json format) - form: llm - - name: subject - type: string - required: true - label: - en_US: email subject - zh_Hans: 邮件主题 - human_description: - en_US: email subject - zh_Hans: 邮件主题 - llm_description: email subject - form: llm - - name: email_content - type: string - required: true - label: - en_US: email content - zh_Hans: 邮件内容 - human_description: - en_US: email content - zh_Hans: 邮件内容 - llm_description: email content - form: llm diff --git a/api/core/tools/provider/builtin/fal/_assets/icon.svg b/api/core/tools/provider/builtin/fal/_assets/icon.svg deleted file mode 100644 index bfb270774dd14c..00000000000000 --- a/api/core/tools/provider/builtin/fal/_assets/icon.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - diff --git a/api/core/tools/provider/builtin/fal/fal.py b/api/core/tools/provider/builtin/fal/fal.py deleted file mode 100644 index c68e2021331082..00000000000000 --- a/api/core/tools/provider/builtin/fal/fal.py +++ /dev/null @@ -1,20 +0,0 @@ -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class FalProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - url = "https://fal.run/fal-ai/flux/dev" - headers = { - "Authorization": f"Key {credentials.get('fal_api_key')}", - "Content-Type": "application/json", - } - data = {"prompt": "Cat"} - - response = requests.post(url, json=data, headers=headers) - if response.status_code == 401: - raise ToolProviderCredentialValidationError("FAL API key is invalid") - elif response.status_code != 200: - raise ToolProviderCredentialValidationError(f"FAL API key validation failed: {response.text}") diff --git a/api/core/tools/provider/builtin/fal/fal.yaml b/api/core/tools/provider/builtin/fal/fal.yaml deleted file mode 100644 index 050a73f62660f6..00000000000000 --- a/api/core/tools/provider/builtin/fal/fal.yaml +++ /dev/null @@ -1,21 +0,0 @@ -identity: - author: Kalo Chin - name: fal - label: - en_US: FAL - zh_CN: FAL - description: - en_US: The image generation API provided by FAL. - zh_CN: FAL 提供的图像生成 API。 - icon: icon.svg - tags: - - image -credentials_for_provider: - fal_api_key: - type: secret-input - required: true - label: - en_US: FAL API Key - placeholder: - en_US: Please input your FAL API key - url: https://fal.ai/dashboard/keys diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.py b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.py deleted file mode 100644 index 7b5f10a64d4cdd..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class Flux11ProTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "Authorization": f"Key {self.runtime.credentials['fal_api_key']}", - "Content-Type": "application/json", - } - - prompt = tool_parameters.get("prompt", "") - sanitized_prompt = prompt.replace("\\", "") # Remove backslashes from the prompt which may cause errors - - payload = { - "prompt": sanitized_prompt, - "image_size": tool_parameters.get("image_size", "landscape_4_3"), - "seed": tool_parameters.get("seed"), - "sync_mode": tool_parameters.get("sync_mode", False), - "num_images": tool_parameters.get("num_images", 1), - "enable_safety_checker": tool_parameters.get("enable_safety_checker", True), - "safety_tolerance": tool_parameters.get("safety_tolerance", "2"), - } - - url = "https://fal.run/fal-ai/flux-pro/v1.1" - - response = requests.post(url, json=payload, headers=headers) - - if response.status_code != 200: - return self.create_text_message(f"Got Error Response: {response.text}") - - res = response.json() - result = [self.create_json_message(res)] - - for image_info in res.get("images", []): - image_url = image_info.get("url") - if image_url: - result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value)) - - return result diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.yaml deleted file mode 100644 index 237ee9937f925b..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro.yaml +++ /dev/null @@ -1,147 +0,0 @@ -identity: - name: flux_1_1_pro - author: Kalo Chin - label: - en_US: FLUX 1.1 [pro] - zh_Hans: FLUX 1.1 [pro] - icon: icon.svg -description: - human: - en_US: FLUX 1.1 [pro] is an enhanced version of FLUX.1 [pro], improved image generation capabilities, delivering superior composition, detail, and artistic fidelity compared to its predecessor. - zh_Hans: FLUX 1.1 [pro] 是 FLUX.1 [pro] 的增强版，改进了图像生成能力，与其前身相比，提供了更出色的构图、细节和艺术保真度。 - llm: This tool generates images from prompts using FAL's FLUX 1.1 [pro] model. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - human_description: - en_US: The text prompt used to generate the image. - zh_Hans: 用于生成图片的文字提示词。 - llm_description: This prompt text will be used to generate the image. - form: llm - - name: image_size - type: select - required: false - options: - - value: square_hd - label: - en_US: Square HD - zh_Hans: 方形高清 - - value: square - label: - en_US: Square - zh_Hans: 方形 - - value: portrait_4_3 - label: - en_US: Portrait 4:3 - zh_Hans: 竖屏 4:3 - - value: portrait_16_9 - label: - en_US: Portrait 16:9 - zh_Hans: 竖屏 16:9 - - value: landscape_4_3 - label: - en_US: Landscape 4:3 - zh_Hans: 横屏 4:3 - - value: landscape_16_9 - label: - en_US: Landscape 16:9 - zh_Hans: 横屏 16:9 - default: landscape_4_3 - label: - en_US: Image Size - zh_Hans: 图片大小 - human_description: - en_US: The size of the generated image. - zh_Hans: 生成图像的尺寸。 - form: form - - name: num_images - type: number - required: false - default: 1 - min: 1 - max: 1 - label: - en_US: Number of Images - zh_Hans: 图片数量 - human_description: - en_US: The number of images to generate. - zh_Hans: 要生成的图片数量。 - form: form - - name: safety_tolerance - type: select - required: false - options: - - value: "1" - label: - en_US: "1 (Most strict)" - zh_Hans: "1（最严格）" - - value: "2" - label: - en_US: "2" - zh_Hans: "2" - - value: "3" - label: - en_US: "3" - zh_Hans: "3" - - value: "4" - label: - en_US: "4" - zh_Hans: "4" - - value: "5" - label: - en_US: "5" - zh_Hans: "5" - - value: "6" - label: - en_US: "6 (Most permissive)" - zh_Hans: "6（最宽松）" - default: "2" - label: - en_US: Safety Tolerance - zh_Hans: 安全容忍度 - human_description: - en_US: The safety tolerance level for the generated image. 1 being the most strict and 6 being the most permissive. - zh_Hans: 生成图像的安全容忍级别，1 为最严格，6 为最宽松。 - form: form - - name: seed - type: number - required: false - min: 0 - max: 9999999999 - label: - en_US: Seed - zh_Hans: 种子 - human_description: - en_US: The same seed and prompt can produce similar images. - zh_Hans: 相同的种子和提示词可以产生相似的图像。 - form: form - - name: enable_safety_checker - type: boolean - required: false - default: true - label: - en_US: Enable Safety Checker - zh_Hans: 启用安全检查器 - human_description: - en_US: Enable or disable the safety checker. - zh_Hans: 启用或禁用安全检查器。 - form: form - - name: sync_mode - type: boolean - required: false - default: false - label: - en_US: Sync Mode - zh_Hans: 同步模式 - human_description: - en_US: > - If set to true, the function will wait for the image to be generated and uploaded before returning the response. - This will increase the latency but allows you to get the image directly in the response without going through the CDN. - zh_Hans: > - 如果设置为 true，函数将在生成并上传图像后再返回响应。 - 这将增加函数的延迟，但可以让您直接在响应中获取图像，而无需通过 CDN。 - form: form diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.py b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.py deleted file mode 100644 index 2fb1565e7cd1b2..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.py +++ /dev/null @@ -1,47 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class Flux11ProUltraTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "Authorization": f"Key {self.runtime.credentials['fal_api_key']}", - "Content-Type": "application/json", - } - - prompt = tool_parameters.get("prompt", "") - sanitized_prompt = prompt.replace("\\", "") # Remove backslashes from the prompt which may cause errors - - payload = { - "prompt": sanitized_prompt, - "seed": tool_parameters.get("seed"), - "sync_mode": tool_parameters.get("sync_mode", False), - "num_images": tool_parameters.get("num_images", 1), - "enable_safety_checker": tool_parameters.get("enable_safety_checker", True), - "safety_tolerance": str(tool_parameters.get("safety_tolerance", "2")), - "aspect_ratio": tool_parameters.get("aspect_ratio", "16:9"), - "raw": tool_parameters.get("raw", False), - } - - url = "https://fal.run/fal-ai/flux-pro/v1.1-ultra" - - response = requests.post(url, json=payload, headers=headers) - - if response.status_code != 200: - return self.create_text_message(f"Got Error Response: {response.text}") - - res = response.json() - result = [self.create_json_message(res)] - - for image_info in res.get("images", []): - image_url = image_info.get("url") - if image_url: - result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value)) - - return result diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.yaml deleted file mode 100644 index d518e5192935b9..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_1_pro_ultra.yaml +++ /dev/null @@ -1,162 +0,0 @@ -identity: - name: flux_1_1_pro_ultra - author: Kalo Chin - label: - en_US: FLUX 1.1 [pro] ultra - zh_Hans: FLUX 1.1 [pro] ultra - icon: icon.svg -description: - human: - en_US: FLUX 1.1 [pro] ultra is the newest version of FLUX 1.1 [pro], maintaining professional-grade image quality while delivering up to 2K resolution with improved photo realism. - zh_Hans: FLUX 1.1 [pro] ultra 是 FLUX 1.1 [pro] 的最新版本，保持了专业级的图像质量，同时以改进的照片真实感提供高达 2K 的分辨率。 - llm: This tool generates images from prompts using FAL's FLUX 1.1 [pro] ultra model. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - human_description: - en_US: The text prompt used to generate the image. - zh_Hans: 用于生成图像的文本提示。 - llm_description: This prompt text will be used to generate the image. - form: llm - - name: aspect_ratio - type: select - required: false - options: - - value: '21:9' - label: - en_US: '21:9' - zh_Hans: '21:9' - - value: '16:9' - label: - en_US: '16:9' - zh_Hans: '16:9' - - value: '4:3' - label: - en_US: '4:3' - zh_Hans: '4:3' - - value: '1:1' - label: - en_US: '1:1' - zh_Hans: '1:1' - - value: '3:4' - label: - en_US: '3:4' - zh_Hans: '3:4' - - value: '9:16' - label: - en_US: '9:16' - zh_Hans: '9:16' - - value: '9:21' - label: - en_US: '9:21' - zh_Hans: '9:21' - default: '16:9' - label: - en_US: Aspect Ratio - zh_Hans: 纵横比 - human_description: - en_US: The aspect ratio of the generated image. - zh_Hans: 生成图像的宽高比。 - form: form - - name: num_images - type: number - required: false - default: 1 - min: 1 - max: 1 - label: - en_US: Number of Images - zh_Hans: 图片数量 - human_description: - en_US: The number of images to generate. - zh_Hans: 要生成的图像数量。 - form: form - - name: safety_tolerance - type: select - required: false - options: - - value: "1" - label: - en_US: "1 (Most strict)" - zh_Hans: "1（最严格）" - - value: "2" - label: - en_US: "2" - zh_Hans: "2" - - value: "3" - label: - en_US: "3" - zh_Hans: "3" - - value: "4" - label: - en_US: "4" - zh_Hans: "4" - - value: "5" - label: - en_US: "5" - zh_Hans: "5" - - value: "6" - label: - en_US: "6 (Most permissive)" - zh_Hans: "6（最宽松）" - default: '2' - label: - en_US: Safety Tolerance - zh_Hans: 安全容忍度 - human_description: - en_US: The safety tolerance level for the generated image. 1 being the most strict and 6 being the most permissive. - zh_Hans: 生成图像的安全容忍级别，1 为最严格，6 为最宽松。 - form: form - - name: seed - type: number - required: false - min: 0 - max: 9999999999 - label: - en_US: Seed - zh_Hans: 种子 - human_description: - en_US: The same seed and prompt can produce similar images. - zh_Hans: 相同的种子和提示词可以生成相似的图像。 - form: form - - name: raw - type: boolean - required: false - default: false - label: - en_US: Raw Mode - zh_Hans: 原始模式 - human_description: - en_US: Generate less processed, more natural-looking images. - zh_Hans: 生成较少处理、更自然的图像。 - form: form - - name: enable_safety_checker - type: boolean - required: false - default: true - label: - en_US: Enable Safety Checker - zh_Hans: 启用安全检查器 - human_description: - en_US: Enable or disable the safety checker. - zh_Hans: 启用或禁用安全检查器。 - form: form - - name: sync_mode - type: boolean - required: false - default: false - label: - en_US: Sync Mode - zh_Hans: 同步模式 - human_description: - en_US: > - If set to true, the function will wait for the image to be generated and uploaded before returning the response. - This will increase the latency but allows you to get the image directly in the response without going through the CDN. - zh_Hans: > - 如果设置为 true，函数将在生成并上传图像后才返回响应。 - 这将增加延迟，但允许您直接在响应中获取图像，而无需通过 CDN。 - form: form diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.py b/api/core/tools/provider/builtin/fal/tools/flux_1_dev.py deleted file mode 100644 index b44d9fe752ed5a..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.py +++ /dev/null @@ -1,47 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class Flux1DevTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "Authorization": f"Key {self.runtime.credentials['fal_api_key']}", - "Content-Type": "application/json", - } - - prompt = tool_parameters.get("prompt", "") - sanitized_prompt = prompt.replace("\\", "") # Remove backslashes from the prompt which may cause errors - - payload = { - "prompt": sanitized_prompt, - "image_size": tool_parameters.get("image_size", "landscape_4_3"), - "num_inference_steps": tool_parameters.get("num_inference_steps", 28), - "guidance_scale": tool_parameters.get("guidance_scale", 3.5), - "seed": tool_parameters.get("seed"), - "num_images": tool_parameters.get("num_images", 1), - "enable_safety_checker": tool_parameters.get("enable_safety_checker", True), - "sync_mode": tool_parameters.get("sync_mode", False), - } - - url = "https://fal.run/fal-ai/flux/dev" - - response = requests.post(url, json=payload, headers=headers) - - if response.status_code != 200: - return self.create_text_message(f"Got Error Response: {response.text}") - - res = response.json() - result = [self.create_json_message(res)] - - for image_info in res.get("images", []): - image_url = image_info.get("url") - if image_url: - result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value)) - - return result diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_dev.yaml deleted file mode 100644 index 3b22af941fc60a..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_dev.yaml +++ /dev/null @@ -1,137 +0,0 @@ -identity: - name: flux_1_dev - author: Kalo Chin - label: - en_US: FLUX.1 [dev] - zh_Hans: FLUX.1 [dev] - icon: icon.svg -description: - human: - en_US: FLUX.1 [dev] is a 12 billion parameter flow transformer that generates high-quality images from text. It is suitable for personal and commercial use. - zh_Hans: FLUX.1 [dev] 是一个拥有120亿参数的流动变换模型，可以从文本生成高质量的图像。适用于个人和商业用途。 - llm: This tool generates images from prompts using FAL's FLUX.1 [dev] model. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - human_description: - en_US: The text prompt used to generate the image. - zh_Hans: 用于生成图片的文字提示词。 - llm_description: This prompt text will be used to generate the image. - form: llm - - name: image_size - type: select - required: false - options: - - value: square_hd - label: - en_US: Square HD - zh_Hans: 方形高清 - - value: square - label: - en_US: Square - zh_Hans: 方形 - - value: portrait_4_3 - label: - en_US: Portrait 4:3 - zh_Hans: 竖屏 4:3 - - value: portrait_16_9 - label: - en_US: Portrait 16:9 - zh_Hans: 竖屏 16:9 - - value: landscape_4_3 - label: - en_US: Landscape 4:3 - zh_Hans: 横屏 4:3 - - value: landscape_16_9 - label: - en_US: Landscape 16:9 - zh_Hans: 横屏 16:9 - default: landscape_4_3 - label: - en_US: Image Size - zh_Hans: 图片大小 - human_description: - en_US: The size of the generated image. - zh_Hans: 生成图像的尺寸。 - form: form - - name: num_images - type: number - required: false - default: 1 - min: 1 - max: 4 - label: - en_US: Number of Images - zh_Hans: 图片数量 - human_description: - en_US: The number of images to generate. - zh_Hans: 要生成的图片数量。 - form: form - - name: num_inference_steps - type: number - required: false - default: 28 - min: 1 - max: 50 - label: - en_US: Num Inference Steps - zh_Hans: 推理步数 - human_description: - en_US: The number of inference steps to perform. More steps produce higher quality but take longer. - zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。 - form: form - - name: guidance_scale - type: number - required: false - default: 3.5 - min: 0 - max: 20 - label: - en_US: Guidance Scale - zh_Hans: 指导强度 - human_description: - en_US: How closely the model should follow the prompt. - zh_Hans: 模型对提示词的遵循程度。 - form: form - - name: seed - type: number - required: false - min: 0 - max: 9999999999 - label: - en_US: Seed - zh_Hans: 种子 - human_description: - en_US: The same seed and prompt can produce similar images. - zh_Hans: 相同的种子和提示可以产生相似的图像。 - form: form - - name: enable_safety_checker - type: boolean - required: false - default: true - label: - en_US: Enable Safety Checker - zh_Hans: 启用安全检查器 - human_description: - en_US: Enable or disable the safety checker. - zh_Hans: 启用或禁用安全检查器。 - form: form - - name: sync_mode - type: boolean - required: false - default: false - label: - en_US: Sync Mode - zh_Hans: 同步模式 - human_description: - en_US: > - If set to true, the function will wait for the image to be generated and uploaded before returning the response. - This will increase the latency but allows you to get the image directly in the response without going through the CDN. - zh_Hans: > - 如果设置为 true，函数将在生成并上传图像后再返回响应。 - 这将增加函数的延迟，但可以让您直接在响应中获取图像，而无需通过 CDN。 - form: form diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.py b/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.py deleted file mode 100644 index be60366155dbe3..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.py +++ /dev/null @@ -1,47 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class Flux1ProNewTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "Authorization": f"Key {self.runtime.credentials['fal_api_key']}", - "Content-Type": "application/json", - } - - prompt = tool_parameters.get("prompt", "") - sanitized_prompt = prompt.replace("\\", "") # Remove backslashes that may cause errors - - payload = { - "prompt": sanitized_prompt, - "image_size": tool_parameters.get("image_size", "landscape_4_3"), - "num_inference_steps": tool_parameters.get("num_inference_steps", 28), - "guidance_scale": tool_parameters.get("guidance_scale", 3.5), - "seed": tool_parameters.get("seed"), - "num_images": tool_parameters.get("num_images", 1), - "safety_tolerance": tool_parameters.get("safety_tolerance", "2"), - "sync_mode": tool_parameters.get("sync_mode", False), - } - - url = "https://fal.run/fal-ai/flux-pro/new" - - response = requests.post(url, json=payload, headers=headers) - - if response.status_code != 200: - return self.create_text_message(f"Got Error Response: {response.text}") - - res = response.json() - result = [self.create_json_message(res)] - - for image_info in res.get("images", []): - image_url = image_info.get("url") - if image_url: - result.append(self.create_image_message(image=image_url, save_as=self.VariableKey.IMAGE.value)) - - return result diff --git a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.yaml b/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.yaml deleted file mode 100644 index 6f8dbb3a54e9ec..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/flux_1_pro_new.yaml +++ /dev/null @@ -1,164 +0,0 @@ -identity: - name: flux_1_pro_new - author: Kalo Chin - label: - en_US: FLUX.1 [pro] new - zh_Hans: FLUX.1 [pro] new - icon: icon.svg -description: - human: - en_US: FLUX.1 [pro] new is an accelerated version of FLUX.1 [pro], maintaining professional-grade image quality while delivering significantly faster generation speeds. - zh_Hans: FLUX.1 [pro] new 是 FLUX.1 [pro] 的加速版本，在保持专业级图像质量的同时，大大提高了生成速度。 - llm: This tool generates images from prompts using FAL's FLUX.1 [pro] new model. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - human_description: - en_US: The text prompt used to generate the image. - zh_Hans: 用于生成图像的文本提示。 - llm_description: This prompt text will be used to generate the image. - form: llm - - name: image_size - type: select - required: false - options: - - value: square_hd - label: - en_US: Square HD - zh_Hans: 正方形高清 - - value: square - label: - en_US: Square - zh_Hans: 正方形 - - value: portrait_4_3 - label: - en_US: Portrait 4:3 - zh_Hans: 竖屏 4:3 - - value: portrait_16_9 - label: - en_US: Portrait 16:9 - zh_Hans: 竖屏 16:9 - - value: landscape_4_3 - label: - en_US: Landscape 4:3 - zh_Hans: 横屏 4:3 - - value: landscape_16_9 - label: - en_US: Landscape 16:9 - zh_Hans: 横屏 16:9 - default: landscape_4_3 - label: - en_US: Image Size - zh_Hans: 图像尺寸 - human_description: - en_US: The size of the generated image. - zh_Hans: 生成图像的尺寸。 - form: form - - name: num_images - type: number - required: false - default: 1 - min: 1 - max: 1 - label: - en_US: Number of Images - zh_Hans: 图像数量 - human_description: - en_US: The number of images to generate. - zh_Hans: 要生成的图像数量。 - form: form - - name: num_inference_steps - type: number - required: false - default: 28 - min: 1 - max: 50 - label: - en_US: Num Inference Steps - zh_Hans: 推理步数 - human_description: - en_US: The number of inference steps to perform. More steps produce higher quality but take longer. - zh_Hans: 执行的推理步数。步数越多，质量越高，但所需时间也更长。 - form: form - - name: guidance_scale - type: number - required: false - default: 3.5 - min: 0 - max: 20 - label: - en_US: Guidance Scale - zh_Hans: 指导强度 - human_description: - en_US: How closely the model should follow the prompt. - zh_Hans: 模型对提示词的遵循程度。 - form: form - - name: safety_tolerance - type: select - required: false - options: - - value: "1" - label: - en_US: "1 (Most strict)" - zh_Hans: "1（最严格）" - - value: "2" - label: - en_US: "2" - zh_Hans: "2" - - value: "3" - label: - en_US: "3" - zh_Hans: "3" - - value: "4" - label: - en_US: "4" - zh_Hans: "4" - - value: "5" - label: - en_US: "5" - zh_Hans: "5" - - value: "6" - label: - en_US: "6 (Most permissive)" - zh_Hans: "6（最宽松）" - default: "2" - label: - en_US: Safety Tolerance - zh_Hans: 安全容忍度 - human_description: - en_US: > - The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive. - zh_Hans: > - 生成图像的安全容忍级别。1 是最严格，6 是最宽松。 - form: form - - name: seed - type: number - required: false - min: 0 - max: 9999999999 - label: - en_US: Seed - zh_Hans: 种子 - human_description: - en_US: The same seed and prompt can produce similar images. - zh_Hans: 相同的种子和提示词可以生成相似的图像。 - form: form - - name: sync_mode - type: boolean - required: false - default: false - label: - en_US: Sync Mode - zh_Hans: 同步模式 - human_description: - en_US: > - If set to true, the function will wait for the image to be generated and uploaded before returning the response. - This will increase the latency but allows you to get the image directly in the response without going through the CDN. - zh_Hans: > - 如果设置为 true，函数将在生成并上传图像后才返回响应。 - 这将增加延迟，但允许您直接在响应中获取图像，而无需通过 CDN。 - form: form diff --git a/api/core/tools/provider/builtin/fal/tools/wizper.py b/api/core/tools/provider/builtin/fal/tools/wizper.py deleted file mode 100644 index ba05a6207330b5..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/wizper.py +++ /dev/null @@ -1,56 +0,0 @@ -import io -import os -from typing import Any - -import fal_client - -from core.file.enums import FileAttribute, FileType -from core.file.file_manager import download, get_attr -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class WizperTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - audio_file = tool_parameters.get("audio_file") - task = tool_parameters.get("task", "transcribe") - language = tool_parameters.get("language", "en") - chunk_level = tool_parameters.get("chunk_level", "segment") - version = tool_parameters.get("version", "3") - - if audio_file.type != FileType.AUDIO: - return self.create_text_message("Not a valid audio file.") - - api_key = self.runtime.credentials["fal_api_key"] - - os.environ["FAL_KEY"] = api_key - - audio_binary = io.BytesIO(download(audio_file)) - mime_type = get_attr(file=audio_file, attr=FileAttribute.MIME_TYPE) - file_data = audio_binary.getvalue() - - try: - audio_url = fal_client.upload(file_data, mime_type) - except Exception as e: - return self.create_text_message(f"Error uploading audio file: {str(e)}") - - arguments = { - "audio_url": audio_url, - "task": task, - "language": language, - "chunk_level": chunk_level, - "version": version, - } - - result = fal_client.subscribe( - "fal-ai/wizper", - arguments=arguments, - with_logs=False, - ) - - json_message = self.create_json_message(result) - - text = result.get("text", "") - text_message = self.create_text_message(text) - - return [json_message, text_message] diff --git a/api/core/tools/provider/builtin/fal/tools/wizper.yaml b/api/core/tools/provider/builtin/fal/tools/wizper.yaml deleted file mode 100644 index 5742efcc1b4002..00000000000000 --- a/api/core/tools/provider/builtin/fal/tools/wizper.yaml +++ /dev/null @@ -1,489 +0,0 @@ -identity: - name: wizper - author: Kalo Chin - label: - en_US: Wizper - zh_Hans: Wizper -description: - human: - en_US: Transcribe an audio file using the Whisper model. - zh_Hans: 使用 Whisper 模型转录音频文件。 - llm: Transcribe an audio file using the Whisper model. -parameters: - - name: audio_file - type: file - required: true - label: - en_US: Audio File - zh_Hans: 音频文件 - human_description: - en_US: "Upload an audio file to transcribe. Supports mp3, mp4, mpeg, mpga, m4a, wav, or webm formats." - zh_Hans: "上传要转录的音频文件。支持 mp3、mp4、mpeg、mpga、m4a、wav 或 webm 格式。" - llm_description: "Audio file to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm." - form: llm - - name: task - type: select - required: true - label: - en_US: Task - zh_Hans: 任务 - human_description: - en_US: "Choose whether to transcribe the audio in its original language or translate it to English" - zh_Hans: "选择是以原始语言转录音频还是将其翻译成英语" - llm_description: "Task to perform on the audio file. Either transcribe or translate. Default value: 'transcribe'. If 'translate' is selected as the task, the audio will be translated to English, regardless of the language selected." - form: form - default: transcribe - options: - - value: transcribe - label: - en_US: Transcribe - zh_Hans: 转录 - - value: translate - label: - en_US: Translate - zh_Hans: 翻译 - - name: language - type: select - required: true - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: "Select the primary language spoken in the audio file" - zh_Hans: "选择音频文件中使用的主要语言" - llm_description: "Language of the audio file." - form: form - default: en - options: - - value: af - label: - en_US: Afrikaans - zh_Hans: 南非语 - - value: am - label: - en_US: Amharic - zh_Hans: 阿姆哈拉语 - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: as - label: - en_US: Assamese - zh_Hans: 阿萨姆语 - - value: az - label: - en_US: Azerbaijani - zh_Hans: 阿塞拜疆语 - - value: ba - label: - en_US: Bashkir - zh_Hans: 巴什基尔语 - - value: be - label: - en_US: Belarusian - zh_Hans: 白俄罗斯语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: bn - label: - en_US: Bengali - zh_Hans: 孟加拉语 - - value: bo - label: - en_US: Tibetan - zh_Hans: 藏语 - - value: br - label: - en_US: Breton - zh_Hans: 布列塔尼语 - - value: bs - label: - en_US: Bosnian - zh_Hans: 波斯尼亚语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: cy - label: - en_US: Welsh - zh_Hans: 威尔士语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: eu - label: - en_US: Basque - zh_Hans: 巴斯克语 - - value: fa - label: - en_US: Persian - zh_Hans: 波斯语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fo - label: - en_US: Faroese - zh_Hans: 法罗语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: gl - label: - en_US: Galician - zh_Hans: 加利西亚语 - - value: gu - label: - en_US: Gujarati - zh_Hans: 古吉拉特语 - - value: ha - label: - en_US: Hausa - zh_Hans: 毫萨语 - - value: haw - label: - en_US: Hawaiian - zh_Hans: 夏威夷语 - - value: he - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hr - label: - en_US: Croatian - zh_Hans: 克罗地亚语 - - value: ht - label: - en_US: Haitian Creole - zh_Hans: 海地克里奥尔语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: hy - label: - en_US: Armenian - zh_Hans: 亚美尼亚语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印度尼西亚语 - - value: is - label: - en_US: Icelandic - zh_Hans: 冰岛语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: jw - label: - en_US: Javanese - zh_Hans: 爪哇语 - - value: ka - label: - en_US: Georgian - zh_Hans: 格鲁吉亚语 - - value: kk - label: - en_US: Kazakh - zh_Hans: 哈萨克语 - - value: km - label: - en_US: Khmer - zh_Hans: 高棉语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: la - label: - en_US: Latin - zh_Hans: 拉丁语 - - value: lb - label: - en_US: Luxembourgish - zh_Hans: 卢森堡语 - - value: ln - label: - en_US: Lingala - zh_Hans: 林加拉语 - - value: lo - label: - en_US: Lao - zh_Hans: 老挝语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: mg - label: - en_US: Malagasy - zh_Hans: 马尔加什语 - - value: mi - label: - en_US: Maori - zh_Hans: 毛利语 - - value: mk - label: - en_US: Macedonian - zh_Hans: 马其顿语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mn - label: - en_US: Mongolian - zh_Hans: 蒙古语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: ms - label: - en_US: Malay - zh_Hans: 马来语 - - value: mt - label: - en_US: Maltese - zh_Hans: 马耳他语 - - value: my - label: - en_US: Burmese - zh_Hans: 缅甸语 - - value: ne - label: - en_US: Nepali - zh_Hans: 尼泊尔语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: nn - label: - en_US: Norwegian Nynorsk - zh_Hans: 新挪威语 - - value: no - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: oc - label: - en_US: Occitan - zh_Hans: 奥克语 - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: ps - label: - en_US: Pashto - zh_Hans: 普什图语 - - value: pt - label: - en_US: Portuguese - zh_Hans: 葡萄牙语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: sa - label: - en_US: Sanskrit - zh_Hans: 梵语 - - value: sd - label: - en_US: Sindhi - zh_Hans: 信德语 - - value: si - label: - en_US: Sinhala - zh_Hans: 僧伽罗语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: sn - label: - en_US: Shona - zh_Hans: 修纳语 - - value: so - label: - en_US: Somali - zh_Hans: 索马里语 - - value: sq - label: - en_US: Albanian - zh_Hans: 阿尔巴尼亚语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: su - label: - en_US: Sundanese - zh_Hans: 巽他语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: sw - label: - en_US: Swahili - zh_Hans: 斯瓦希里语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: tg - label: - en_US: Tajik - zh_Hans: 塔吉克语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: tk - label: - en_US: Turkmen - zh_Hans: 土库曼语 - - value: tl - label: - en_US: Tagalog - zh_Hans: 他加禄语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: tt - label: - en_US: Tatar - zh_Hans: 鞑靼语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: ur - label: - en_US: Urdu - zh_Hans: 乌尔都语 - - value: uz - label: - en_US: Uzbek - zh_Hans: 乌兹别克语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 - - value: yi - label: - en_US: Yiddish - zh_Hans: 意第绪语 - - value: yo - label: - en_US: Yoruba - zh_Hans: 约鲁巴语 - - value: yue - label: - en_US: Cantonese - zh_Hans: 粤语 - - value: zh - label: - en_US: Chinese - zh_Hans: 中文 - - name: chunk_level - type: select - label: - en_US: Chunk Level - zh_Hans: 分块级别 - human_description: - en_US: "Choose how the transcription should be divided into chunks" - zh_Hans: "选择如何将转录内容分成块" - llm_description: "Level of the chunks to return." - form: form - default: segment - options: - - value: segment - label: - en_US: Segment - zh_Hans: 段 - - name: version - type: select - label: - en_US: Version - zh_Hans: 版本 - human_description: - en_US: "Select which version of the Whisper large model to use" - zh_Hans: "选择要使用的 Whisper large 模型版本" - llm_description: "Version of the model to use. All of the models are the Whisper large variant." - form: form - default: "3" - options: - - value: "3" - label: - en_US: Version 3 - zh_Hans: 版本 3 diff --git a/api/core/tools/provider/builtin/feishu/_assets/icon.svg b/api/core/tools/provider/builtin/feishu/_assets/icon.svg deleted file mode 100644 index bf3c202abf3ff6..00000000000000 --- a/api/core/tools/provider/builtin/feishu/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - diff --git a/api/core/tools/provider/builtin/feishu/feishu.py b/api/core/tools/provider/builtin/feishu/feishu.py deleted file mode 100644 index 72a9333619988d..00000000000000 --- a/api/core/tools/provider/builtin/feishu/feishu.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin.feishu.tools.feishu_group_bot import FeishuGroupBotTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class FeishuProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - FeishuGroupBotTool() diff --git a/api/core/tools/provider/builtin/feishu/feishu.yaml b/api/core/tools/provider/builtin/feishu/feishu.yaml deleted file mode 100644 index a029c7edb8853b..00000000000000 --- a/api/core/tools/provider/builtin/feishu/feishu.yaml +++ /dev/null @@ -1,16 +0,0 @@ -identity: - author: Arkii Sun - name: feishu - label: - en_US: Feishu - zh_Hans: 飞书 - pt_BR: Feishu - description: - en_US: Feishu group bot - zh_Hans: 飞书群机器人 - pt_BR: Feishu group bot - icon: icon.svg - tags: - - social - - productivity -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.py b/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.py deleted file mode 100644 index e82da8ca534b96..00000000000000 --- a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.py +++ /dev/null @@ -1,51 +0,0 @@ -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.uuid_utils import is_valid_uuid - - -class FeishuGroupBotTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - API document: https://open.feishu.cn/document/client-docs/bot-v3/add-custom-bot - """ - - url = "https://open.feishu.cn/open-apis/bot/v2/hook" - - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - hook_key = tool_parameters.get("hook_key", "") - if not is_valid_uuid(hook_key): - return self.create_text_message(f"Invalid parameter hook_key ${hook_key}, not a valid UUID") - - msg_type = "text" - api_url = f"{url}/{hook_key}" - headers = { - "Content-Type": "application/json", - } - params = {} - payload = { - "msg_type": msg_type, - "content": { - "text": content, - }, - } - - try: - res = httpx.post(api_url, headers=headers, params=params, json=payload) - if res.is_success: - return self.create_text_message("Text message sent successfully") - else: - return self.create_text_message( - f"Failed to send the text message, status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message("Failed to send message to group chat bot. {}".format(e)) diff --git a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.yaml b/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.yaml deleted file mode 100644 index 6c3f084e4dafe3..00000000000000 --- a/api/core/tools/provider/builtin/feishu/tools/feishu_group_bot.yaml +++ /dev/null @@ -1,40 +0,0 @@ -identity: - name: feishu_group_bot - author: Arkii Sun - label: - en_US: Send Group Message - zh_Hans: 发送群消息 - pt_BR: Send Group Message - icon: icon.png -description: - human: - en_US: Sending a group message on Feishu via the webhook of group bot - zh_Hans: 通过飞书的群机器人webhook发送群消息 - pt_BR: Sending a group message on Feishu via the webhook of group bot - llm: A tool for sending messages to a chat group on Feishu(飞书) . -parameters: - - name: hook_key - type: secret-input - required: true - label: - en_US: Feishu Group bot webhook key - zh_Hans: 群机器人webhook的key - pt_BR: Feishu Group bot webhook key - human_description: - en_US: Feishu Group bot webhook key - zh_Hans: 群机器人webhook的key - pt_BR: Feishu Group bot webhook key - form: form - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - pt_BR: content - human_description: - en_US: Content to sent to the group. - zh_Hans: 群消息文本 - pt_BR: Content to sent to the group. - llm_description: Content of the message - form: llm diff --git a/api/core/tools/provider/builtin/feishu_base/_assets/icon.png b/api/core/tools/provider/builtin/feishu_base/_assets/icon.png deleted file mode 100644 index 787427e7218058678986333768b33a0aafd1eb58..0000000000000000000000000000000000000000 GIT binary patch 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author: Doug Lea - name: feishu_base - label: - en_US: Feishu Base - zh_Hans: 飞书多维表格 - description: - en_US: | - Feishu base, requires the following permissions: bitable:app. - zh_Hans: | - 飞书多维表格，需要开通以下权限: bitable:app。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your feishu app id - zh_Hans: 请输入你的飞书 app id - help: - en_US: Get your app_id and app_secret from Feishu - zh_Hans: 从飞书获取您的 app_id 和 app_secret - url: https://open.larkoffice.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_base/tools/add_records.py b/api/core/tools/provider/builtin/feishu_base/tools/add_records.py deleted file mode 100644 index 905f8b78806d05..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/add_records.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class AddRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_id = tool_parameters.get("table_id") - table_name = tool_parameters.get("table_name") - records = tool_parameters.get("records") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.add_records(app_token, table_id, table_name, records, user_id_type) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/add_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/add_records.yaml deleted file mode 100644 index f2a93490dc0c31..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/add_records.yaml +++ /dev/null @@ -1,91 +0,0 @@ -identity: - name: add_records - author: Doug Lea - label: - en_US: Add Records - zh_Hans: 新增多条记录 -description: - human: - en_US: Add Multiple Records to Multidimensional Table - zh_Hans: 在多维表格数据表中新增多条记录 - llm: A tool for adding multiple records to a multidimensional table. (在多维表格数据表中新增多条记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: records - type: string - required: true - label: - en_US: records - zh_Hans: 记录列表 - human_description: - en_US: | - List of records to be added in this request. Example value: [{"multi-line-text":"text content","single_select":"option 1","date":1674206443000}] - For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure). - zh_Hans: | - 本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - llm_description: | - 本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_base.py b/api/core/tools/provider/builtin/feishu_base/tools/create_base.py deleted file mode 100644 index f074acc5ff709e..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/create_base.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class CreateBaseTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - name = tool_parameters.get("name") - folder_token = tool_parameters.get("folder_token") - - res = client.create_base(name, folder_token) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_base.yaml b/api/core/tools/provider/builtin/feishu_base/tools/create_base.yaml deleted file mode 100644 index 3ec91a90e7f0b6..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/create_base.yaml +++ /dev/null @@ -1,42 +0,0 @@ -identity: - name: create_base - author: Doug Lea - label: - en_US: Create Base - zh_Hans: 创建多维表格 -description: - human: - en_US: Create Multidimensional Table in Specified Directory - zh_Hans: 在指定目录下创建多维表格 - llm: A tool for creating a multidimensional table in a specified directory. (在指定目录下创建多维表格) -parameters: - - name: name - type: string - required: false - label: - en_US: name - zh_Hans: 多维表格 App 名字 - human_description: - en_US: | - Name of the multidimensional table App. Example value: "A new multidimensional table". - zh_Hans: 多维表格 App 名字，示例值："一篇新的多维表格"。 - llm_description: 多维表格 App 名字，示例值："一篇新的多维表格"。 - form: llm - - - name: folder_token - type: string - required: false - label: - en_US: folder_token - zh_Hans: 多维表格 App 归属文件夹 - human_description: - en_US: | - Folder where the multidimensional table App belongs. Default is empty, meaning the table will be created in the root directory of the cloud space. Example values: Fa3sfoAgDlMZCcdcJy1cDFg8nJc or https://svi136aogf123.feishu.cn/drive/folder/Fa3sfoAgDlMZCcdcJy1cDFg8nJc. - The folder_token must be an existing folder and supports inputting folder token or folder URL. - zh_Hans: | - 多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Fa3sfoAgDlMZCcdcJy1cDFg8nJc 或者 https://svi136aogf123.feishu.cn/drive/folder/Fa3sfoAgDlMZCcdcJy1cDFg8nJc。 - folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。 - llm_description: | - 多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Fa3sfoAgDlMZCcdcJy1cDFg8nJc 或者 https://svi136aogf123.feishu.cn/drive/folder/Fa3sfoAgDlMZCcdcJy1cDFg8nJc。 - folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_table.py b/api/core/tools/provider/builtin/feishu_base/tools/create_table.py deleted file mode 100644 index 81f2617545969b..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/create_table.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class CreateTableTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_name = tool_parameters.get("table_name") - default_view_name = tool_parameters.get("default_view_name") - fields = tool_parameters.get("fields") - - res = client.create_table(app_token, table_name, default_view_name, fields) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/create_table.yaml b/api/core/tools/provider/builtin/feishu_base/tools/create_table.yaml deleted file mode 100644 index 8b1007b9a53166..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/create_table.yaml +++ /dev/null @@ -1,61 +0,0 @@ -identity: - name: create_table - author: Doug Lea - label: - en_US: Create Table - zh_Hans: 新增数据表 -description: - human: - en_US: Add a Data Table to Multidimensional Table - zh_Hans: 在多维表格中新增一个数据表 - llm: A tool for adding a data table to a multidimensional table. (在多维表格中新增一个数据表) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_name - type: string - required: true - label: - en_US: Table Name - zh_Hans: 数据表名称 - human_description: - en_US: | - The name of the data table, length range: 1 character to 100 characters. - zh_Hans: 数据表名称，长度范围：1 字符 ～ 100 字符。 - llm_description: 数据表名称，长度范围：1 字符 ～ 100 字符。 - form: llm - - - name: default_view_name - type: string - required: false - label: - en_US: Default View Name - zh_Hans: 默认表格视图的名称 - human_description: - en_US: The name of the default table view, defaults to "Table" if not filled. - zh_Hans: 默认表格视图的名称，不填则默认为"表格"。 - llm_description: 默认表格视图的名称，不填则默认为"表格"。 - form: llm - - - name: fields - type: string - required: true - label: - en_US: Initial Fields - zh_Hans: 初始字段 - human_description: - en_US: | - Initial fields of the data table, format: [ { "field_name": "Multi-line Text","type": 1 },{ "field_name": "Number","type": 2 },{ "field_name": "Single Select","type": 3 },{ "field_name": "Multiple Select","type": 4 },{ "field_name": "Date","type": 5 } ]. For field details, refer to: https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide - zh_Hans: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide - llm_description: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide - form: llm diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.py b/api/core/tools/provider/builtin/feishu_base/tools/delete_records.py deleted file mode 100644 index c896a2c81b97f8..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class DeleteRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_id = tool_parameters.get("table_id") - table_name = tool_parameters.get("table_name") - record_ids = tool_parameters.get("record_ids") - - res = client.delete_records(app_token, table_id, table_name, record_ids) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/delete_records.yaml deleted file mode 100644 index c30ebd630ce9d8..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/delete_records.yaml +++ /dev/null @@ -1,86 +0,0 @@ -identity: - name: delete_records - author: Doug Lea - label: - en_US: Delete Records - zh_Hans: 删除多条记录 -description: - human: - en_US: Delete Multiple Records from Multidimensional Table - zh_Hans: 删除多维表格数据表中的多条记录 - llm: A tool for deleting multiple records from a multidimensional table. (删除多维表格数据表中的多条记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: record_ids - type: string - required: true - label: - en_US: Record IDs - zh_Hans: 记录 ID 列表 - human_description: - en_US: | - List of IDs for the records to be deleted, example value: ["recwNXzPQv"]. - zh_Hans: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。 - llm_description: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.py b/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.py deleted file mode 100644 index f732a16da6f697..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class DeleteTablesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_ids = tool_parameters.get("table_ids") - table_names = tool_parameters.get("table_names") - - res = client.delete_tables(app_token, table_ids, table_names) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.yaml b/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.yaml deleted file mode 100644 index 498126eae53302..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/delete_tables.yaml +++ /dev/null @@ -1,49 +0,0 @@ -identity: - name: delete_tables - author: Doug Lea - label: - en_US: Delete Tables - zh_Hans: 删除数据表 -description: - human: - en_US: Batch Delete Data Tables from Multidimensional Table - zh_Hans: 批量删除多维表格中的数据表 - llm: A tool for batch deleting data tables from a multidimensional table. (批量删除多维表格中的数据表) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_ids - type: string - required: false - label: - en_US: Table IDs - zh_Hans: 数据表 ID - human_description: - en_US: | - IDs of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["tbl1TkhyTWDkSoZ3"]. Ensure that either table_ids or table_names is not empty. - zh_Hans: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。 - llm_description: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。 - form: llm - - - name: table_names - type: string - required: false - label: - en_US: Table Names - zh_Hans: 数据表名称 - human_description: - en_US: | - Names of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["Table1", "Table2"]. Ensure that either table_names or table_ids is not empty. - zh_Hans: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。 - llm_description: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.py b/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.py deleted file mode 100644 index a74e9be288bc17..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class GetBaseInfoTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - - res = client.get_base_info(app_token) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.yaml b/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.yaml deleted file mode 100644 index eb0e7a26c06a55..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/get_base_info.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: get_base_info - author: Doug Lea - label: - en_US: Get Base Info - zh_Hans: 获取多维表格元数据 -description: - human: - en_US: Get Metadata Information of Specified Multidimensional Table - zh_Hans: 获取指定多维表格的元数据信息 - llm: A tool for getting metadata information of a specified multidimensional table. (获取指定多维表格的元数据信息) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.py b/api/core/tools/provider/builtin/feishu_base/tools/list_tables.py deleted file mode 100644 index c7768a496debce..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ListTablesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - page_token = tool_parameters.get("page_token") - page_size = tool_parameters.get("page_size", 20) - - res = client.list_tables(app_token, page_token, page_size) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.yaml b/api/core/tools/provider/builtin/feishu_base/tools/list_tables.yaml deleted file mode 100644 index 7571519039bd24..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/list_tables.yaml +++ /dev/null @@ -1,50 +0,0 @@ -identity: - name: list_tables - author: Doug Lea - label: - en_US: List Tables - zh_Hans: 列出数据表 -description: - human: - en_US: Get All Data Tables under Multidimensional Table - zh_Hans: 获取多维表格下的所有数据表 - llm: A tool for getting all data tables under a multidimensional table. (获取多维表格下的所有数据表) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: page_size - zh_Hans: 分页大小 - human_description: - en_US: | - Page size, default value: 20, maximum value: 100. - zh_Hans: 分页大小，默认值：20，最大值：100。 - llm_description: 分页大小，默认值：20，最大值：100。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: page_token - zh_Hans: 分页标记 - human_description: - en_US: | - Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW". - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_base/tools/read_records.py b/api/core/tools/provider/builtin/feishu_base/tools/read_records.py deleted file mode 100644 index 46f3df4ff040f3..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/read_records.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ReadRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_id = tool_parameters.get("table_id") - table_name = tool_parameters.get("table_name") - record_ids = tool_parameters.get("record_ids") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_records(app_token, table_id, table_name, record_ids, user_id_type) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/read_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/read_records.yaml deleted file mode 100644 index 911e667cfc90ad..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/read_records.yaml +++ /dev/null @@ -1,86 +0,0 @@ -identity: - name: read_records - author: Doug Lea - label: - en_US: Read Records - zh_Hans: 批量获取记录 -description: - human: - en_US: Batch Retrieve Records from Multidimensional Table - zh_Hans: 批量获取多维表格数据表中的记录信息 - llm: A tool for batch retrieving records from a multidimensional table, supporting up to 100 records per call. (批量获取多维表格数据表中的记录信息，单次调用最多支持查询 100 条记录) - -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: record_ids - type: string - required: true - label: - en_US: record_ids - zh_Hans: 记录 ID 列表 - human_description: - en_US: List of record IDs, which can be obtained by calling the "Query Records API". - zh_Hans: 记录 ID 列表，可以通过调用"查询记录接口"获取。 - llm_description: 记录 ID 列表，可以通过调用"查询记录接口"获取。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_base/tools/search_records.py b/api/core/tools/provider/builtin/feishu_base/tools/search_records.py deleted file mode 100644 index d58b42b82029ce..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/search_records.py +++ /dev/null @@ -1,43 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class SearchRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token", "") - table_id = tool_parameters.get("table_id", "") - table_name = tool_parameters.get("table_name", "") - view_id = tool_parameters.get("view_id", "") - field_names = tool_parameters.get("field_names", "") - sort = tool_parameters.get("sort", "") - filters = tool_parameters.get("filter", "") - page_token = tool_parameters.get("page_token", "") - automatic_fields = tool_parameters.get("automatic_fields", False) - user_id_type = tool_parameters.get("user_id_type", "open_id") - page_size = tool_parameters.get("page_size", 20) - - res = client.search_record( - app_token, - table_id, - table_name, - view_id, - field_names, - sort, - filters, - page_token, - automatic_fields, - user_id_type, - page_size, - ) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/search_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/search_records.yaml deleted file mode 100644 index decf76d53ed928..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/search_records.yaml +++ /dev/null @@ -1,163 +0,0 @@ -identity: - name: search_records - author: Doug Lea - label: - en_US: Search Records - zh_Hans: 查询记录 -description: - human: - en_US: Query records in a multidimensional table, up to 500 rows per query. - zh_Hans: 查询多维表格数据表中的记录，单次最多查询 500 行记录。 - llm: A tool for querying records in a multidimensional table, up to 500 rows per query. (查询多维表格数据表中的记录，单次最多查询 500 行记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: view_id - type: string - required: false - label: - en_US: view_id - zh_Hans: 视图唯一标识 - human_description: - en_US: | - Unique identifier for a view in a multidimensional table. It can be found in the URL's query parameter with the key 'view'. For example: https://svi136aogf123.feishu.cn/base/KWC8bYsYXahYqGsTtqectNn9n3e?table=tblE8a2fmBIEflaE&view=vewlkAVpRx. - zh_Hans: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://svi136aogf123.feishu.cn/base/KWC8bYsYXahYqGsTtqectNn9n3e?table=tblE8a2fmBIEflaE&view=vewlkAVpRx。 - llm_description: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://svi136aogf123.feishu.cn/base/KWC8bYsYXahYqGsTtqectNn9n3e?table=tblE8a2fmBIEflaE&view=vewlkAVpRx。 - form: llm - - - name: field_names - type: string - required: false - label: - en_US: field_names - zh_Hans: 字段名称 - human_description: - en_US: | - Field names to specify which fields to include in the returned records. Example value: ["Field1", "Field2"]. - zh_Hans: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。 - llm_description: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。 - form: llm - - - name: sort - type: string - required: false - label: - en_US: sort - zh_Hans: 排序条件 - human_description: - en_US: | - Sorting conditions, for example: [{"field_name":"Multiline Text","desc":true}]. - zh_Hans: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。 - llm_description: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。 - form: llm - - - name: filter - type: string - required: false - label: - en_US: filter - zh_Hans: 筛选条件 - human_description: - en_US: Object containing filter information. For details on how to fill in the filter, refer to the record filter parameter guide (https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide). - zh_Hans: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。 - llm_description: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。 - form: llm - - - name: automatic_fields - type: boolean - required: false - label: - en_US: automatic_fields - zh_Hans: automatic_fields - human_description: - en_US: Whether to return automatically calculated fields. Default is false, meaning they are not returned. - zh_Hans: 是否返回自动计算的字段。默认为 false，表示不返回。 - llm_description: 是否返回自动计算的字段。默认为 false，表示不返回。 - form: form - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: page_size - zh_Hans: 分页大小 - human_description: - en_US: | - Page size, default value: 20, maximum value: 500. - zh_Hans: 分页大小，默认值：20，最大值：500。 - llm_description: 分页大小，默认值：20，最大值：500。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: page_token - zh_Hans: 分页标记 - human_description: - en_US: | - Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW". - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_base/tools/update_records.py b/api/core/tools/provider/builtin/feishu_base/tools/update_records.py deleted file mode 100644 index 31cf8e18d85b8d..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/update_records.py +++ /dev/null @@ -1,25 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class UpdateRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token", "") - table_id = tool_parameters.get("table_id", "") - table_name = tool_parameters.get("table_name", "") - records = tool_parameters.get("records", "") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.update_records(app_token, table_id, table_name, records, user_id_type) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_base/tools/update_records.yaml b/api/core/tools/provider/builtin/feishu_base/tools/update_records.yaml deleted file mode 100644 index 68117e71367892..00000000000000 --- a/api/core/tools/provider/builtin/feishu_base/tools/update_records.yaml +++ /dev/null @@ -1,91 +0,0 @@ -identity: - name: update_records - author: Doug Lea - label: - en_US: Update Records - zh_Hans: 更新多条记录 -description: - human: - en_US: Update Multiple Records in Multidimensional Table - zh_Hans: 更新多维表格数据表中的多条记录 - llm: A tool for updating multiple records in a multidimensional table. (更新多维表格数据表中的多条记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: records - type: string - required: true - label: - en_US: records - zh_Hans: 记录列表 - human_description: - en_US: | - List of records to be updated in this request. Example value: [{"fields":{"multi-line-text":"text content","single_select":"option 1","date":1674206443000},"record_id":"recupK4f4RM5RX"}]. - For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure). - zh_Hans: | - 本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - llm_description: | - 本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_calendar/_assets/icon.png b/api/core/tools/provider/builtin/feishu_calendar/_assets/icon.png deleted file mode 100644 index 2a934747a98c6680065941bcd31d2400da1eaf23..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5488 zcmd^@S6CClyT+3cB}hx?J%AJ?fE0mHMQMV8&_R?YO?nelY7hlNk>0Cxkg60F3{fc} zH9!DCT0jJ80tr>&_S<*on|*iYn;+KLNRROn&m{l=z^H#)+mzb= z`Og8lNIh#4qnG3;S|irW=|=l}|xX42D3f ziFX7+o4)i%ZwLZ_Wy~1N7x0X<1J061*y29gfDyJ2fUTeVMQPHq7@KLU>F~{ov1emn zTTR^lX{pNZoq%B_m`)+II}6z;t*n3|MoU1jS;dIL*?`4jeJEOe)(8nc{{SYk($W#)H9s-F>-9L)q>vds%qH zkcrltA7vCoxnI4*96v@UvWzE-7Cx7P{&@x%&*6D0Sj%Vv92rJtf5apSYHAh%#><`< z2e{f;;;o92hA{8!WL}P&cvjHhvd7BO#hQoR;KbjEOqS{00syPkr2de>038=`YCj_O zPd5aDqo-cUk32YjA+$q>s&#{_U4>P|VUB0oV{Y#n(#1N^fI)(I^SU~-b7vfzi7wtM z^w6|?o(Z6K3k;+Kp}J2e-ZCfW^Q6Q6wEFUk_k^MfZ-zo4F__Xr;-SE%Op=u@zWCtx zh*)#))OFs6a3XAAOzW2 zaQQ(p)m{RktgoK`-$50pJaB2=3&M;Z< z9qKSBQXoHQsl&j0SDWDz3kDNys17>(|0S{QY(fc-ee#?BF<;wCO^An-3EEzIBkWv} zKsIk^KKf7o0v7 zo)OJwp1u-Fzm8t+m$NYP78%(2mN{nOOaPn7rk52RKXip9_VJ&iy2 z(`YX=^0A&q8oV%!9lT#qgwn1%Cj_27!_4MD;@oHK;g{)Qou*`7VPiE&kMQBhO8^r17_RKNU12a>1wxuj`0t0s!bY)4s! 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zff+|)Lp1?l9x4YU$o~%vPtYMYop$Ob0Hh25UxJ56k@&OI*n~FT87e{r=<671H{5b~ F_Fv-s=P3XH diff --git a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.py b/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.py deleted file mode 100644 index a46a9fa9e80cab..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.feishu_api_utils import auth - - -class FeishuCalendarProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - auth(credentials) diff --git a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.yaml b/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.yaml deleted file mode 100644 index db5bab5c1081d9..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/feishu_calendar.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: feishu_calendar - label: - en_US: Feishu Calendar - zh_Hans: 飞书日历 - description: - en_US: | - Feishu calendar, requires the following permissions: calendar:calendar:read、calendar:calendar、contact:user.id:readonly. - zh_Hans: | - 飞书日历，需要开通以下权限: calendar:calendar:read、calendar:calendar、contact:user.id:readonly。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your feishu app id - zh_Hans: 请输入你的飞书 app id - help: - en_US: Get your app_id and app_secret from Feishu - zh_Hans: 从飞书获取您的 app_id 和 app_secret - url: https://open.larkoffice.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.py b/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.py deleted file mode 100644 index 80287feca176e1..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.py +++ /dev/null @@ -1,24 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class AddEventAttendeesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - event_id = tool_parameters.get("event_id", "") - attendee_phone_or_email = tool_parameters.get("attendee_phone_or_email", "") - need_notification = tool_parameters.get("need_notification", True) - - res = client.add_event_attendees(event_id, attendee_phone_or_email, need_notification) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.yaml deleted file mode 100644 index b7744499b07344..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/add_event_attendees.yaml +++ /dev/null @@ -1,54 +0,0 @@ -identity: - name: add_event_attendees - author: Doug Lea - label: - en_US: Add Event Attendees - zh_Hans: 添加日程参会人 -description: - human: - en_US: Add Event Attendees - zh_Hans: 添加日程参会人 - llm: A tool for adding attendees to events in Feishu. (在飞书中添加日程参会人) -parameters: - - name: event_id - type: string - required: true - label: - en_US: Event ID - zh_Hans: 日程 ID - human_description: - en_US: | - The ID of the event, which will be returned when the event is created. For example: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0. - zh_Hans: | - 创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。 - llm_description: | - 日程 ID，创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。 - form: llm - - - name: need_notification - type: boolean - required: false - default: true - label: - en_US: Need Notification - zh_Hans: 是否需要通知 - human_description: - en_US: | - Whether to send a Bot notification to attendees. true: send, false: do not send. - zh_Hans: | - 是否给参与人发送 Bot 通知，true: 发送，false: 不发送。 - llm_description: | - 是否给参与人发送 Bot 通知，true: 发送，false: 不发送。 - form: form - - - name: attendee_phone_or_email - type: string - required: true - label: - en_US: Attendee Phone or Email - zh_Hans: 参会人电话或邮箱 - human_description: - en_US: The list of attendee emails or phone numbers, separated by commas. - zh_Hans: 日程参会人邮箱或者手机号列表，使用逗号分隔。 - llm_description: 日程参会人邮箱或者手机号列表，使用逗号分隔。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.py b/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.py deleted file mode 100644 index 8820bebdbed922..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.py +++ /dev/null @@ -1,26 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class CreateEventTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - summary = tool_parameters.get("summary") - description = tool_parameters.get("description") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - attendee_ability = tool_parameters.get("attendee_ability") - need_notification = tool_parameters.get("need_notification", True) - auto_record = tool_parameters.get("auto_record", False) - - res = client.create_event( - summary, description, start_time, end_time, attendee_ability, need_notification, auto_record - ) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.yaml deleted file mode 100644 index f0784221ce7965..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/create_event.yaml +++ /dev/null @@ -1,119 +0,0 @@ -identity: - name: create_event - author: Doug Lea - label: - en_US: Create Event - zh_Hans: 创建日程 -description: - human: - en_US: Create Event - zh_Hans: 创建日程 - llm: A tool for creating events in Feishu.(创建飞书日程) -parameters: - - name: summary - type: string - required: false - label: - en_US: Summary - zh_Hans: 日程标题 - human_description: - en_US: The title of the event. If not filled, the event title will display (No Subject). - zh_Hans: 日程标题，若不填则日程标题显示 (无主题)。 - llm_description: 日程标题，若不填则日程标题显示 (无主题)。 - form: llm - - - name: description - type: string - required: false - label: - en_US: Description - zh_Hans: 日程描述 - human_description: - en_US: The description of the event. - zh_Hans: 日程描述。 - llm_description: 日程描述。 - form: llm - - - name: need_notification - type: boolean - required: false - default: true - label: - en_US: Need Notification - zh_Hans: 是否发送通知 - human_description: - en_US: | - Whether to send a bot message when the event is created, true: send, false: do not send. - zh_Hans: 创建日程时是否发送 bot 消息，true：发送，false：不发送。 - llm_description: 创建日程时是否发送 bot 消息，true：发送，false：不发送。 - form: form - - - name: start_time - type: string - required: true - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。 - llm_description: 日程开始时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: true - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。 - llm_description: 日程结束时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: attendee_ability - type: select - required: false - options: - - value: none - label: - en_US: none - zh_Hans: 无 - - value: can_see_others - label: - en_US: can_see_others - zh_Hans: 可以查看参与人列表 - - value: can_invite_others - label: - en_US: can_invite_others - zh_Hans: 可以邀请其它参与人 - - value: can_modify_event - label: - en_US: can_modify_event - zh_Hans: 可以编辑日程 - default: "none" - label: - en_US: attendee_ability - zh_Hans: 参会人权限 - human_description: - en_US: Attendee ability, optional values are none, can_see_others, can_invite_others, can_modify_event, with a default value of none. - zh_Hans: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。 - llm_description: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。 - form: form - - - name: auto_record - type: boolean - required: false - default: false - label: - en_US: Auto Record - zh_Hans: 自动录制 - human_description: - en_US: | - Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled. - zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.py b/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.py deleted file mode 100644 index 02e9b445219ac8..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class DeleteEventTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - event_id = tool_parameters.get("event_id", "") - need_notification = tool_parameters.get("need_notification", True) - - res = client.delete_event(event_id, need_notification) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.yaml deleted file mode 100644 index 54fdb04acc3371..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/delete_event.yaml +++ /dev/null @@ -1,38 +0,0 @@ -identity: - name: delete_event - author: Doug Lea - label: - en_US: Delete Event - zh_Hans: 删除日程 -description: - human: - en_US: Delete Event - zh_Hans: 删除日程 - llm: A tool for deleting events in Feishu.(在飞书中删除日程) -parameters: - - name: event_id - type: string - required: true - label: - en_US: Event ID - zh_Hans: 日程 ID - human_description: - en_US: | - The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0. - zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - form: llm - - - name: need_notification - type: boolean - required: false - default: true - label: - en_US: Need Notification - zh_Hans: 是否需要通知 - human_description: - en_US: | - Indicates whether to send bot notifications to event participants upon deletion. true: send, false: do not send. - zh_Hans: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。 - llm_description: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.py b/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.py deleted file mode 100644 index 4dafe4b3baf0cd..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class GetPrimaryCalendarTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.get_primary_calendar(user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.yaml deleted file mode 100644 index 3440c85d4a9733..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/get_primary_calendar.yaml +++ /dev/null @@ -1,37 +0,0 @@ -identity: - name: get_primary_calendar - author: Doug Lea - label: - en_US: Get Primary Calendar - zh_Hans: 查询主日历信息 -description: - human: - en_US: Get Primary Calendar - zh_Hans: 查询主日历信息 - llm: A tool for querying primary calendar information in Feishu.(在飞书中查询主日历信息) -parameters: - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.py b/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.py deleted file mode 100644 index 2e8ca968b3cc42..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.py +++ /dev/null @@ -1,25 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ListEventsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - start_time = tool_parameters.get("start_time", "") - end_time = tool_parameters.get("end_time", "") - page_token = tool_parameters.get("page_token", "") - page_size = tool_parameters.get("page_size", 50) - - res = client.list_events(start_time, end_time, page_token, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.yaml deleted file mode 100644 index 5f0155a2465866..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/list_events.yaml +++ /dev/null @@ -1,62 +0,0 @@ -identity: - name: list_events - author: Doug Lea - label: - en_US: List Events - zh_Hans: 获取日程列表 -description: - human: - en_US: List Events - zh_Hans: 获取日程列表 - llm: A tool for listing events in Feishu.(在飞书中获取日程列表) -parameters: - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: page_size - type: number - required: false - default: 50 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 50, and the value range is [50,1000]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.py b/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.py deleted file mode 100644 index dc365205a4cffa..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class SearchEventsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - query = tool_parameters.get("query") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - page_token = tool_parameters.get("page_token") - user_id_type = tool_parameters.get("user_id_type", "open_id") - page_size = tool_parameters.get("page_size", 20) - - res = client.search_events(query, start_time, end_time, page_token, user_id_type, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.yaml deleted file mode 100644 index bd60a07b5b5341..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/search_events.yaml +++ /dev/null @@ -1,100 +0,0 @@ -identity: - name: search_events - author: Doug Lea - label: - en_US: Search Events - zh_Hans: 搜索日程 -description: - human: - en_US: Search Events - zh_Hans: 搜索日程 - llm: A tool for searching events in Feishu.(在飞书中搜索日程) -parameters: - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 搜索关键字 - human_description: - en_US: The search keyword used for fuzzy searching event names, with a maximum input of 200 characters. - zh_Hans: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。 - llm_description: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。 - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [10,100]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.py b/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.py deleted file mode 100644 index b20eb6c31828e4..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.py +++ /dev/null @@ -1,28 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class UpdateEventTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - event_id = tool_parameters.get("event_id", "") - summary = tool_parameters.get("summary", "") - description = tool_parameters.get("description", "") - need_notification = tool_parameters.get("need_notification", True) - start_time = tool_parameters.get("start_time", "") - end_time = tool_parameters.get("end_time", "") - auto_record = tool_parameters.get("auto_record", False) - - res = client.update_event(event_id, summary, description, need_notification, start_time, end_time, auto_record) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.yaml b/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.yaml deleted file mode 100644 index 4d60dbf8c8e1b0..00000000000000 --- a/api/core/tools/provider/builtin/feishu_calendar/tools/update_event.yaml +++ /dev/null @@ -1,100 +0,0 @@ -identity: - name: update_event - author: Doug Lea - label: - en_US: Update Event - zh_Hans: 更新日程 -description: - human: - en_US: Update Event - zh_Hans: 更新日程 - llm: A tool for updating events in Feishu.(更新飞书中的日程) -parameters: - - name: event_id - type: string - required: true - label: - en_US: Event ID - zh_Hans: 日程 ID - human_description: - en_US: | - The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0. - zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - form: llm - - - name: summary - type: string - required: false - label: - en_US: Summary - zh_Hans: 日程标题 - human_description: - en_US: The title of the event. - zh_Hans: 日程标题。 - llm_description: 日程标题。 - form: llm - - - name: description - type: string - required: false - label: - en_US: Description - zh_Hans: 日程描述 - human_description: - en_US: The description of the event. - zh_Hans: 日程描述。 - llm_description: 日程描述。 - form: llm - - - name: need_notification - type: boolean - required: false - label: - en_US: Need Notification - zh_Hans: 是否发送通知 - human_description: - en_US: | - Whether to send a bot message when the event is updated, true: send, false: do not send. - zh_Hans: 更新日程时是否发送 bot 消息，true：发送，false：不发送。 - llm_description: 更新日程时是否发送 bot 消息，true：发送，false：不发送。 - form: form - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。 - llm_description: 日程开始时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。 - llm_description: 日程结束时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: auto_record - type: boolean - required: false - label: - en_US: Auto Record - zh_Hans: 自动录制 - human_description: - en_US: | - Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled. - zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg b/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg deleted file mode 100644 index 5a0a6416b3db32..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/_assets/icon.svg +++ /dev/null @@ -1,9 +0,0 @@ - - - - - - - - - diff --git a/api/core/tools/provider/builtin/feishu_document/feishu_document.py b/api/core/tools/provider/builtin/feishu_document/feishu_document.py deleted file mode 100644 index 217ae52082b82c..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/feishu_document.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.feishu_api_utils import auth - - -class FeishuDocumentProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - auth(credentials) diff --git a/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml b/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml deleted file mode 100644 index 8f9afa6149445c..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/feishu_document.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: feishu_document - label: - en_US: Lark Cloud Document - zh_Hans: 飞书云文档 - description: - en_US: | - Lark cloud document, requires the following permissions: docx:document、drive:drive、docs:document.content:read. - zh_Hans: | - 飞书云文档，需要开通以下权限: docx:document、drive:drive、docs:document.content:read。 - icon: icon.svg - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your feishu app id - zh_Hans: 请输入你的飞书 app id - help: - en_US: Get your app_id and app_secret from Feishu - zh_Hans: 从飞书获取您的 app_id 和 app_secret - url: https://open.larkoffice.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_document/tools/create_document.py b/api/core/tools/provider/builtin/feishu_document/tools/create_document.py deleted file mode 100644 index 1533f594172878..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/create_document.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class CreateDocumentTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - title = tool_parameters.get("title", "") - content = tool_parameters.get("content", "") - folder_token = tool_parameters.get("folder_token", "") - - res = client.create_document(title, content, folder_token) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml b/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml deleted file mode 100644 index 85382e9d8e8d1f..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/create_document.yaml +++ /dev/null @@ -1,48 +0,0 @@ -identity: - name: create_document - author: Doug Lea - label: - en_US: Create Lark document - zh_Hans: 创建飞书文档 -description: - human: - en_US: Create Lark document - zh_Hans: 创建飞书文档，支持创建空文档和带内容的文档，支持 markdown 语法创建。应用需要开启机器人能力(https://open.feishu.cn/document/faq/trouble-shooting/how-to-enable-bot-ability)。 - llm: A tool for creating Feishu documents. -parameters: - - name: title - type: string - required: false - label: - en_US: Document title - zh_Hans: 文档标题 - human_description: - en_US: Document title, only supports plain text content. - zh_Hans: 文档标题，只支持纯文本内容。 - llm_description: 文档标题，只支持纯文本内容，可以为空。 - form: llm - - - name: content - type: string - required: false - label: - en_US: Document content - zh_Hans: 文档内容 - human_description: - en_US: Document content, supports markdown syntax, can be empty. - zh_Hans: 文档内容，支持 markdown 语法，可以为空。 - llm_description: 文档内容，支持 markdown 语法，可以为空。 - form: llm - - - name: folder_token - type: string - required: false - label: - en_US: folder_token - zh_Hans: 文档所在文件夹的 Token - human_description: - en_US: | - The token of the folder where the document is located. If it is not passed or is empty, it means the root directory. For Example: https://svi136aogf123.feishu.cn/drive/folder/JgR9fiG9AlPt8EdsSNpcGjIInbf - zh_Hans: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://svi136aogf123.feishu.cn/drive/folder/JgR9fiG9AlPt8EdsSNpcGjIInbf。 - llm_description: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://svi136aogf123.feishu.cn/drive/folder/JgR9fiG9AlPt8EdsSNpcGjIInbf。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.py b/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.py deleted file mode 100644 index e67a017facc8d4..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class GetDocumentRawContentTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - document_id = tool_parameters.get("document_id") - mode = tool_parameters.get("mode", "markdown") - lang = tool_parameters.get("lang", "0") - - res = client.get_document_content(document_id, mode, lang) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.yaml b/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.yaml deleted file mode 100644 index 15e827cde91ee6..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/get_document_content.yaml +++ /dev/null @@ -1,70 +0,0 @@ -identity: - name: get_document_content - author: Doug Lea - label: - en_US: Get Document Content - zh_Hans: 获取飞书云文档的内容 -description: - human: - en_US: Get document content - zh_Hans: 获取飞书云文档的内容 - llm: A tool for retrieving content from Feishu cloud documents. -parameters: - - name: document_id - type: string - required: true - label: - en_US: document_id - zh_Hans: 飞书文档的唯一标识 - human_description: - en_US: Unique identifier for a Feishu document. You can also input the document's URL. - zh_Hans: 飞书文档的唯一标识，支持输入文档的 URL。 - llm_description: 飞书文档的唯一标识，支持输入文档的 URL。 - form: llm - - - name: mode - type: select - required: false - options: - - value: text - label: - en_US: text - zh_Hans: text - - value: markdown - label: - en_US: markdown - zh_Hans: markdown - default: "markdown" - label: - en_US: mode - zh_Hans: 文档返回格式 - human_description: - en_US: Format of the document return, optional values are text, markdown, can be empty, default is markdown. - zh_Hans: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。 - llm_description: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。 - form: form - - - name: lang - type: select - required: false - options: - - value: "0" - label: - en_US: User's default name - zh_Hans: 用户的默认名称 - - value: "1" - label: - en_US: User's English name - zh_Hans: 用户的英文名称 - default: "0" - label: - en_US: lang - zh_Hans: 指定@用户的语言 - human_description: - en_US: | - Specifies the language for MentionUser, optional values are [0, 1]. 0: User's default name, 1: User's English name, default is 0. - zh_Hans: | - 指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。 - llm_description: | - 指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.py b/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.py deleted file mode 100644 index 8ea68a2ed87855..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.py +++ /dev/null @@ -1,24 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ListDocumentBlockTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - if not self.runtime or not self.runtime.credentials: - raise ValueError("Runtime is not set") - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - if not app_id or not app_secret: - raise ValueError("app_id and app_secret are required") - client = FeishuRequest(app_id, app_secret) - - document_id = tool_parameters.get("document_id", "") - page_token = tool_parameters.get("page_token", "") - user_id_type = tool_parameters.get("user_id_type", "open_id") - page_size = tool_parameters.get("page_size", 500) - - res = client.list_document_blocks(document_id, page_token, user_id_type, page_size) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.yaml b/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.yaml deleted file mode 100644 index d4fab96c1f9601..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/list_document_blocks.yaml +++ /dev/null @@ -1,74 +0,0 @@ -identity: - name: list_document_blocks - author: Doug Lea - label: - en_US: List Document Blocks - zh_Hans: 获取飞书文档所有块 -description: - human: - en_US: List document blocks - zh_Hans: 获取飞书文档所有块的富文本内容并分页返回 - llm: A tool to get all blocks of Feishu documents -parameters: - - name: document_id - type: string - required: true - label: - en_US: document_id - zh_Hans: 飞书文档的唯一标识 - human_description: - en_US: Unique identifier for a Feishu document. You can also input the document's URL. - zh_Hans: 飞书文档的唯一标识，支持输入文档的 URL。 - llm_description: 飞书文档的唯一标识，支持输入文档的 URL。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: page_size - type: number - required: false - default: 500 - label: - en_US: page_size - zh_Hans: 分页大小 - human_description: - en_US: Paging size, the default and maximum value is 500. - zh_Hans: 分页大小, 默认值和最大值为 500。 - llm_description: 分页大小, 表示一次请求最多返回多少条数据，默认值和最大值为 500。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: page_token - zh_Hans: 分页标记 - human_description: - en_US: Pagination token used to navigate through query results, allowing retrieval of additional items in subsequent requests. - zh_Hans: 分页标记，用于分页查询结果，以便下次遍历时获取更多项。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_document/tools/write_document.py b/api/core/tools/provider/builtin/feishu_document/tools/write_document.py deleted file mode 100644 index 59f08f53dc68de..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/write_document.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class CreateDocumentTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - document_id = tool_parameters.get("document_id") - content = tool_parameters.get("content") - position = tool_parameters.get("position", "end") - - res = client.write_document(document_id, content, position) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml b/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml deleted file mode 100644 index de70f4e7726a28..00000000000000 --- a/api/core/tools/provider/builtin/feishu_document/tools/write_document.yaml +++ /dev/null @@ -1,57 +0,0 @@ -identity: - name: write_document - author: Doug Lea - label: - en_US: Write Document - zh_Hans: 在飞书文档中新增内容 -description: - human: - en_US: Adding new content to Lark documents - zh_Hans: 在飞书文档中新增内容 - llm: A tool for adding new content to Lark documents. -parameters: - - name: document_id - type: string - required: true - label: - en_US: document_id - zh_Hans: 飞书文档的唯一标识 - human_description: - en_US: Unique identifier for a Feishu document. You can also input the document's URL. - zh_Hans: 飞书文档的唯一标识，支持输入文档的 URL。 - llm_description: 飞书文档的唯一标识，支持输入文档的 URL。 - form: llm - - - name: content - type: string - required: true - label: - en_US: Plain text or Markdown content - zh_Hans: 纯文本或 Markdown 内容 - human_description: - en_US: Plain text or Markdown content. Note that embedded tables in the document should not have merged cells. - zh_Hans: 纯文本或 Markdown 内容。注意文档的内嵌套表格不允许有单元格合并。 - llm_description: 纯文本或 Markdown 内容，注意文档的内嵌套表格不允许有单元格合并。 - form: llm - - - name: position - type: select - required: false - options: - - value: start - label: - en_US: document start - zh_Hans: 文档开始 - - value: end - label: - en_US: document end - zh_Hans: 文档结束 - default: "end" - label: - en_US: position - zh_Hans: 内容添加位置 - human_description: - en_US: Content insertion position, optional values are start, end. 'start' means adding content at the beginning of the document; 'end' means adding content at the end of the document. The default value is end. - zh_Hans: 内容添加位置，可选值有 start、end。start 表示在文档开头添加内容；end 表示在文档结尾添加内容，默认值为 end。 - llm_description: 内容添加位置，可选值有 start、end。start 表示在文档开头添加内容；end 表示在文档结尾添加内容，默认值为 end。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg b/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg deleted file mode 100644 index 222a1571f9bbbb..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/_assets/icon.svg +++ /dev/null @@ -1,19 +0,0 @@ - - - - diff --git a/api/core/tools/provider/builtin/feishu_message/feishu_message.py b/api/core/tools/provider/builtin/feishu_message/feishu_message.py deleted file mode 100644 index a3b54737691c9c..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/feishu_message.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.feishu_api_utils import auth - - -class FeishuMessageProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - auth(credentials) diff --git a/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml b/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml deleted file mode 100644 index 56683ec1680f40..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/feishu_message.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: feishu_message - label: - en_US: Lark Message - zh_Hans: 飞书消息 - description: - en_US: | - Lark message, requires the following permissions: im:message、im:message.group_msg. - zh_Hans: | - 飞书消息，需要开通以下权限: im:message、im:message.group_msg。 - icon: icon.svg - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your feishu app id - zh_Hans: 请输入你的飞书 app id - help: - en_US: Get your app_id and app_secret from Feishu - zh_Hans: 从飞书获取您的 app_id 和 app_secret - url: https://open.larkoffice.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.py b/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.py deleted file mode 100644 index 7eb29230b2ceb0..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class GetChatMessagesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - container_id = tool_parameters.get("container_id") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - page_token = tool_parameters.get("page_token") - sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc") - page_size = tool_parameters.get("page_size", 20) - - res = client.get_chat_messages(container_id, start_time, end_time, page_token, sort_type, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.yaml b/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.yaml deleted file mode 100644 index 984c9120e8cd96..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/get_chat_messages.yaml +++ /dev/null @@ -1,96 +0,0 @@ -identity: - name: get_chat_messages - author: Doug Lea - label: - en_US: Get Chat Messages - zh_Hans: 获取指定单聊、群聊的消息历史 -description: - human: - en_US: Get Chat Messages - zh_Hans: 获取指定单聊、群聊的消息历史 - llm: A tool for getting chat messages from specific one-on-one chats or group chats.(获取指定单聊、群聊的消息历史) -parameters: - - name: container_id - type: string - required: true - label: - en_US: Container Id - zh_Hans: 群聊或单聊的 ID - human_description: - en_US: The ID of the group chat or single chat. Refer to the group ID description for how to obtain it. https://open.feishu.cn/document/server-docs/group/chat/chat-id-description - zh_Hans: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.feishu.cn/document/server-docs/group/chat/chat-id-description - llm_description: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.feishu.cn/document/server-docs/group/chat/chat-id-description - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 起始时间 - human_description: - en_US: The start time for querying historical messages, formatted as "2006-01-02 15:04:05". - zh_Hans: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。 - llm_description: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: The end time for querying historical messages, formatted as "2006-01-02 15:04:05". - zh_Hans: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。 - llm_description: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。 - form: llm - - - name: sort_type - type: select - required: false - options: - - value: ByCreateTimeAsc - label: - en_US: ByCreateTimeAsc - zh_Hans: ByCreateTimeAsc - - value: ByCreateTimeDesc - label: - en_US: ByCreateTimeDesc - zh_Hans: ByCreateTimeDesc - default: "ByCreateTimeAsc" - label: - en_US: Sort Type - zh_Hans: 排序方式 - human_description: - en_US: | - The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway. - zh_Hans: | - 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - form: form - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.py b/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.py deleted file mode 100644 index 3b14f46e0048a8..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class GetChatMessagesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - container_id = tool_parameters.get("container_id") - page_token = tool_parameters.get("page_token") - sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc") - page_size = tool_parameters.get("page_size", 20) - - res = client.get_thread_messages(container_id, page_token, sort_type, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.yaml b/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.yaml deleted file mode 100644 index 85a138292f6203..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/get_thread_messages.yaml +++ /dev/null @@ -1,72 +0,0 @@ -identity: - name: get_thread_messages - author: Doug Lea - label: - en_US: Get Thread Messages - zh_Hans: 获取指定话题的消息历史 -description: - human: - en_US: Get Thread Messages - zh_Hans: 获取指定话题的消息历史 - llm: A tool for getting chat messages from specific threads.(获取指定话题的消息历史) -parameters: - - name: container_id - type: string - required: true - label: - en_US: Thread Id - zh_Hans: 话题 ID - human_description: - en_US: The ID of the thread. Refer to the thread overview on how to obtain the thread_id. https://open.feishu.cn/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction - zh_Hans: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.feishu.cn/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction - llm_description: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.feishu.cn/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction - form: llm - - - name: sort_type - type: select - required: false - options: - - value: ByCreateTimeAsc - label: - en_US: ByCreateTimeAsc - zh_Hans: ByCreateTimeAsc - - value: ByCreateTimeDesc - label: - en_US: ByCreateTimeDesc - zh_Hans: ByCreateTimeDesc - default: "ByCreateTimeAsc" - label: - en_US: Sort Type - zh_Hans: 排序方式 - human_description: - en_US: | - The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway. - zh_Hans: | - 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - form: form - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py deleted file mode 100644 index 1dd315d0e293a0..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class SendBotMessageTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - receive_id_type = tool_parameters.get("receive_id_type") - receive_id = tool_parameters.get("receive_id") - msg_type = tool_parameters.get("msg_type") - content = tool_parameters.get("content") - - res = client.send_bot_message(receive_id_type, receive_id, msg_type, content) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml b/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml deleted file mode 100644 index 4f7f65a8a74fc0..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/send_bot_message.yaml +++ /dev/null @@ -1,125 +0,0 @@ -identity: - name: send_bot_message - author: Doug Lea - label: - en_US: Send Bot Message - zh_Hans: 发送飞书应用消息 -description: - human: - en_US: Send bot message - zh_Hans: 发送飞书应用消息 - llm: A tool for sending Feishu application messages. -parameters: - - name: receive_id - type: string - required: true - label: - en_US: receive_id - zh_Hans: 消息接收者的 ID - human_description: - en_US: The ID of the message receiver, the ID type is consistent with the value of the query parameter receive_id_type. - zh_Hans: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。 - llm_description: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。 - form: llm - - - name: receive_id_type - type: select - required: true - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - - value: email - label: - en_US: email - zh_Hans: email - - value: chat_id - label: - en_US: chat_id - zh_Hans: chat_id - label: - en_US: receive_id_type - zh_Hans: 消息接收者的 ID 类型 - human_description: - en_US: The ID type of the message receiver, optional values are open_id, union_id, user_id, email, chat_id, with a default value of open_id. - zh_Hans: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。 - llm_description: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。 - form: form - - - name: msg_type - type: select - required: true - options: - - value: text - label: - en_US: text - zh_Hans: 文本 - - value: interactive - label: - en_US: interactive - zh_Hans: 卡片 - - value: post - label: - en_US: post - zh_Hans: 富文本 - - value: image - label: - en_US: image - zh_Hans: 图片 - - value: file - label: - en_US: file - zh_Hans: 文件 - - value: audio - label: - en_US: audio - zh_Hans: 语音 - - value: media - label: - en_US: media - zh_Hans: 视频 - - value: sticker - label: - en_US: sticker - zh_Hans: 表情包 - - value: share_chat - label: - en_US: share_chat - zh_Hans: 分享群名片 - - value: share_user - label: - en_US: share_user - zh_Hans: 分享个人名片 - - value: system - label: - en_US: system - zh_Hans: 系统消息 - label: - en_US: msg_type - zh_Hans: 消息类型 - human_description: - en_US: Message type. Optional values are text, post, image, file, audio, media, sticker, interactive, share_chat, share_user, system. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: form - - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - human_description: - en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py deleted file mode 100644 index 44e70e0a15b64d..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class SendWebhookMessageTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - webhook = tool_parameters.get("webhook") - msg_type = tool_parameters.get("msg_type") - content = tool_parameters.get("content") - - res = client.send_webhook_message(webhook, msg_type, content) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml b/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml deleted file mode 100644 index eeeae8b29cd935..00000000000000 --- a/api/core/tools/provider/builtin/feishu_message/tools/send_webhook_message.yaml +++ /dev/null @@ -1,68 +0,0 @@ -identity: - name: send_webhook_message - author: Doug Lea - label: - en_US: Send Webhook Message - zh_Hans: 使用自定义机器人发送飞书消息 -description: - human: - en_US: Send webhook message - zh_Hans: 使用自定义机器人发送飞书消息 - llm: A tool for sending Lark messages using a custom robot. -parameters: - - name: webhook - type: string - required: true - label: - en_US: webhook - zh_Hans: webhook - human_description: - en_US: | - The address of the webhook, the format of the webhook address corresponding to the bot is as follows: https://open.feishu.cn/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx. For details, please refer to: Feishu Custom Bot Usage Guide(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot) - zh_Hans: | - webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.feishu.cn/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: 飞书自定义机器人使用指南(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot) - llm_description: | - webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.feishu.cn/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: 飞书自定义机器人使用指南(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot) - form: llm - - - name: msg_type - type: select - required: true - options: - - value: text - label: - en_US: text - zh_Hans: 文本 - - value: interactive - label: - en_US: interactive - zh_Hans: 卡片 - - value: image - label: - en_US: image - zh_Hans: 图片 - - value: share_chat - label: - en_US: share_chat - zh_Hans: 分享群名片 - label: - en_US: msg_type - zh_Hans: 消息类型 - human_description: - en_US: Message type. Optional values are text, image, interactive, share_chat. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: form - - - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - human_description: - en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/_assets/icon.png b/api/core/tools/provider/builtin/feishu_spreadsheet/_assets/icon.png deleted file mode 100644 index 258b361261d4e3366251613141efaf200cd492db..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5417 zcmd^DS5%YRwoZN$O6VAxB7`D>B2{_|NCfFcC5m9^B1Ni1YN8;ag8~B5K}5ljNR=At zDowYWE@T6ufDnpw#PfU4%XzwQcZ_?-eMtT>zS-xRYp%IgytSnsL zdRI`?%X-mSlvNKO|Ie?xLgnG*o=vL-$74~@Z_^H692>&gwz#AF8KDeDRMbw;%S7@^ z0lEPo#d95ysLibL=R-lQaee?Fs}d9;GP^(x<}0F2F-h^b07#9l0oO$-H1Q3K391Vw z<4=0p`{@z^2;xpdlh~~3JnE^>9z);@q9`KIu_BtdpQzbsD575%4Twvli5I4HvMd2) zb~piMXifm)8t=*F!((F(ty-{~Wz)Z}Ndy@Eb!#j;_(=_NxxD1SZ z`^;W2^5auNzYn@A2>xJh;sP2HSC+;woK59g(<;NCo^!c#Ehuot?D4Rd)w8!(U0P`& z%VC9Q-96X{A0A-3$C;#tp*U^SO+lV&Hxa7rN-a66lFyi_>RrN%R|1Vq#cqxM66~=V zqiED^xRLX95ANScBy+VLmy`yfkVWj>n$$_jO&|;@RMZxW`Vz z$O_A_ZC28OHeIiVe5Q^a@Eh@@xS_-0ekSH|OjbBisUizBYwacbqfha(|5(|VJ2}WB zHpATzRjsPoJQBe4PIt1hgrI7Y50}-!}5gFUy?Rg9_E&^py-is{-p;% zTvMdnGy%=Wqn{@HrmR@{jrI>dJKTelw2a|nx8U=k7~^*xb#q+marab_8vS2fSE5+Y zn~5{LDooF9tC$SGL27*G@;{=nn$Xky=U;8P+72;ajTwrUrC1Tnxpj$-`QP(e{CvV9 zh3pN9onxvac@}^z>)z{0S+aM9#p?S7+MZA%@a=)}H%cBs2SJLPD0zo*4!;C}*GG6$ zTMl`6(oQ&vd#E0UZeZkChdQ~D8u|whYR0Tkk_54k46T{#q1zuLx1St1$09Z4@?G-x zP;12H+5MiS`8ypOtP=3S-g>%7u{bLB#@8}4dCm`w!J@u0gpTDCfl`36#Ce`k^1%{YRQF_6`gSF9DyZ3Bm zxr|mHO4@>BaQa#*$Cj2S)LE_&-nSsJv3#y!5=1E}zv^mBz1y3!vXp@@&b|hGYttj^ z?UFMVQR53YFP6~^{CEd_wTWBGlH@xTzP_*PtPwumo>==enAF|ol)S&NnfqRA-FZ#G zf5A^UVYdF1#whcR86TO2%c|Bm2kp)#9~26{2Ge@9z!sOtO3(_ASdG)a5Jouh*GPceIQ8i;V2@|!6kT2)T zP3GTrKXy&4^~U@c_IEJKMZl%eR=P~7mddg1f~Y}6Wy#^*OPN3UfmQK^3@itZpKbd5@0 zc3B?kLSn(>gN`_VSnGc2%ub#NtO@@Vkcuw1I zE&gLUmn!~7K;3W8aMa%NswfiMeh!H(yq2vZu#y-1l|`&3hz-OPVp0Cr>%V@TkU!%> zig$7Eo6aFiCaPc7AQg38k{ODANjtgts?q(!v%Aw&3~?*`#9gB9y+Zv%yYux6M}lWg zZx}2Y?UvriIKFi_e_K9Y{*4iad-AWN{so#fZ7hA_A!jW=?o>IKy zVmr>iln9}Jc@{D>cn$kyL;F=r9*Z3=5=?1+js+lA8D{cPQAguYGbtg}#)-6p{L3|* z@z$zI?_#(<*R6L3#H|ws#J_XKWhkN21!JDd0#QqszIwaZd#vflMa8h(9b$wT5L8*< zBX{8NtDYXEG^ec#34>iz2?zd{3O{5DZf>LtQt;n=e$*{$Wdmn-7EK!_{#(~HLVkHiwO`?8f|1cmvooXKl(DSNxarLW);a=FHJAic)+i^G z(e}q=C|W8Y@LuK-uv76%eROl8~k7sr_FPLKx5)D|=j5MXweA zsi4aJnHaAJ-_CgY`b`pY7?BvwX)Ah}o;`g;d}iT<<{|np=0|Z$nPE>jWATfMx145R;)u$P_vwvE1OY&0~oC274T(v@nP)MM42l z#rob;2tLAOLgc?^gTq+sb;?jg(TJ+PMBwcG4dIK#Er=}+;)jzkBQbA6MY987*4wFXPvD(6q#>};6+{c!gE zuh?~G=IFzw59PEky!+o7(m;57&_TyPg|dS<(VkwmfpJ;)jR3<_=3?xKgTG9sg|mT8 zmbR_XHYesG&?uhyDlEiy%>7r}!@aL&dpZ>1HoqDf{|1sCM-k|%3`JO`Qx1$Y1q`W# z=265^17<`61QLL!MCE=k9QvOWA$*wMEB*<)^nabuVB#n)s@pcn@^cAx%#VAfr_bI)ekLa(&LqeVj$|@{;Y-L}+dGMsG-d-d4iEN~E?1J;#SxCn*=oaRy&&#~_7uBTMaU0*MMYxCUXn$sPyZ5ihR%j-)C1apw>-l9JRzB?mJ5v?YFm*DN3ll)!1?9R}6Z3b@E^)gymONw#o8R29`3SRVA zsi#m1t=0|{3Ol$DlC?xn@?&-b+n4<(hoge6@h^J8p`^7HP29r&!qo2Y?k_>r=O&21`&6h_Sx#E;kq2Ot#^)I6TxR^2Lm5BW3iP4X-x4dph*G zm6EL0WgHQStu6)~e{wh2tBkuxN}e`;DpR8pkKD&Fm)Mta1e}IKjl)|Et;Qyf)CwjV zkPeeGRL>U?*#_-`_0#OH+8^nA;z!>_N-_;=+cGoY(3B$D=}mL@>(pjfZCk%evCrcJ z&uIHP?BLXa=%?HV6Lp6PoN{`SM8K5px4 z06A{wSth;olH1c3?@~tp92xRpW^+pix#O-i$m?O6I<%QK@99QH^!G_a5mi<-Wa`gE zzEx$`fchvk6%$k<3><;_n^f0_-b<{r5(4(e|ICEo-FaWJS52Vs7-pVVc5U=O(B%;n zv7{^76nDI(5CdMo4L}z>=DnZt{YJ#!;~_mwrpfX30Z_0@QJch%LX1fVD8|}N$ z9N>nSWT$qR^Q{>WfTx|6jt&uOCFxfnj6UV(edaeo{}m!Cd`%DeX#7VPoz>WcK<6LQ z^-L@MNLKzL>o41FvMqpzAe(q&>L>YY@!!*<)@KY!myRyFfXqBaH0EJT(-*!;(fo!w zbJ0>MXdoA4mZsRnjJ{g5U${6KbuK2G9(^7p90v)^Re!~rYW$rXub|1*azcCG!`X<- z0JsfOjz3>5x!8VHt5HK<(3JiZaY8YsjE z4#P-|aP9d+&hJ+~x3) zRoe}iD|SBMZC((X;TavAVgj57V|X*prE0P64W*hxeg&y88J~hekQ$+rMdeC*R;&Sn zgx6C89qHlcp@_WZ?QnH`UrBv4bP7TGG&Rtb9xeyMog-$X+=pG(yy-#ELtWJFls{L% zPG7OCf6C;n*PmYab_Xq25TBgp_tTPf3g;+@O>2dfO)Z!zl~Sem?k8imS&3FK{d%ffu4JAj zAjB0MS+yF#;WI_b8j*swkZ%2~-+wRp)VGRi>^J?MGjd<>nRdAr7r7&Dh`-Pv-FK>h zIQo;wPAv-XS-wED56lI^%4ogV%jy{%p)hIaAjY;Y9uVr$e&h4y)Uwd^W~3#Sm}JL6e>&pB)4%2Uz#8r-4KnR5f_ww?1ls1cbrIlQ*~F)F~(XH z5fO%=Ejw1~Pfjtv;bPV{EI26c+pUV(# e^8bzLQ2*ztuUWBv%zNP5C*%^w(uiz`yZ None: - auth(credentials) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.yaml deleted file mode 100644 index 29e448d730f745..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/feishu_spreadsheet.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: feishu_spreadsheet - label: - en_US: Feishu Spreadsheet - zh_Hans: 飞书电子表格 - description: - en_US: | - Feishu Spreadsheet, requires the following permissions: sheets:spreadsheet. - zh_Hans: | - 飞书电子表格，需要开通以下权限: sheets:spreadsheet。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your feishu app id - zh_Hans: 请输入你的飞书 app id - help: - en_US: Get your app_id and app_secret from Feishu - zh_Hans: 从飞书获取您的 app_id 和 app_secret - url: https://open.larkoffice.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.py deleted file mode 100644 index 44d062f9bdded2..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class AddColsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - length = tool_parameters.get("length") - values = tool_parameters.get("values") - - res = client.add_cols(spreadsheet_token, sheet_id, sheet_name, length, values) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.yaml deleted file mode 100644 index b73335f405c20c..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_cols.yaml +++ /dev/null @@ -1,72 +0,0 @@ -identity: - name: add_cols - author: Doug Lea - label: - en_US: Add Cols - zh_Hans: 新增多列至工作表最后 -description: - human: - en_US: Add Cols - zh_Hans: 新增多列至工作表最后 - llm: A tool for adding multiple columns to the end of a spreadsheet. (新增多列至工作表最后) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: length - type: number - required: true - label: - en_US: length - zh_Hans: 要增加的列数 - human_description: - en_US: Number of columns to add, range (0-5000]. - zh_Hans: 要增加的列数，范围(0-5000]。 - llm_description: 要增加的列数，范围(0-5000]。 - form: form - - - name: values - type: string - required: false - label: - en_US: values - zh_Hans: 新增列的单元格内容 - human_description: - en_US: | - Content of the new columns, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ]. - zh_Hans: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - llm_description: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.py deleted file mode 100644 index 3a85b7b46ccb93..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class AddRowsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - length = tool_parameters.get("length") - values = tool_parameters.get("values") - - res = client.add_rows(spreadsheet_token, sheet_id, sheet_name, length, values) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.yaml deleted file mode 100644 index 6bce305b9825ec..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/add_rows.yaml +++ /dev/null @@ -1,72 +0,0 @@ -identity: - name: add_rows - author: Doug Lea - label: - en_US: Add Rows - zh_Hans: 新增多行至工作表最后 -description: - human: - en_US: Add Rows - zh_Hans: 新增多行至工作表最后 - llm: A tool for adding multiple rows to the end of a spreadsheet. (新增多行至工作表最后) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: length - type: number - required: true - label: - en_US: length - zh_Hans: 要增加行数 - human_description: - en_US: Number of rows to add, range (0-5000]. - zh_Hans: 要增加行数，范围(0-5000]。 - llm_description: 要增加行数，范围(0-5000]。 - form: form - - - name: values - type: string - required: false - label: - en_US: values - zh_Hans: 新增行的表格内容 - human_description: - en_US: | - Content of the new rows, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ]. - zh_Hans: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - llm_description: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.py deleted file mode 100644 index 647364fab0a966..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class CreateSpreadsheetTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - title = tool_parameters.get("title") - folder_token = tool_parameters.get("folder_token") - - res = client.create_spreadsheet(title, folder_token) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.yaml deleted file mode 100644 index 931310e63172d4..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/create_spreadsheet.yaml +++ /dev/null @@ -1,35 +0,0 @@ -identity: - name: create_spreadsheet - author: Doug Lea - label: - en_US: Create Spreadsheet - zh_Hans: 创建电子表格 -description: - human: - en_US: Create Spreadsheet - zh_Hans: 创建电子表格 - llm: A tool for creating spreadsheets. (创建电子表格) -parameters: - - name: title - type: string - required: false - label: - en_US: Spreadsheet Title - zh_Hans: 电子表格标题 - human_description: - en_US: The title of the spreadsheet - zh_Hans: 电子表格的标题 - llm_description: 电子表格的标题 - form: llm - - - name: folder_token - type: string - required: false - label: - en_US: Folder Token - zh_Hans: 文件夹 token - human_description: - en_US: The token of the folder, supports folder URL input, e.g., https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg - zh_Hans: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg - llm_description: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg - form: llm diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.py deleted file mode 100644 index dda8c59daffabf..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class GetSpreadsheetTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.get_spreadsheet(spreadsheet_token, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.yaml deleted file mode 100644 index c519938617ba8c..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/get_spreadsheet.yaml +++ /dev/null @@ -1,49 +0,0 @@ -identity: - name: get_spreadsheet - author: Doug Lea - label: - en_US: Get Spreadsheet - zh_Hans: 获取电子表格信息 -description: - human: - en_US: Get Spreadsheet - zh_Hans: 获取电子表格信息 - llm: A tool for getting information from spreadsheets. (获取电子表格信息) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: Spreadsheet Token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 URL。 - llm_description: 电子表格 token，支持输入电子表格 URL。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.py deleted file mode 100644 index 98497791c0fa1e..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ListSpreadsheetSheetsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - - res = client.list_spreadsheet_sheets(spreadsheet_token) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.yaml deleted file mode 100644 index c6a7ef45d46589..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/list_spreadsheet_sheets.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: list_spreadsheet_sheets - author: Doug Lea - label: - en_US: List Spreadsheet Sheets - zh_Hans: 列出电子表格所有工作表 -description: - human: - en_US: List Spreadsheet Sheets - zh_Hans: 列出电子表格所有工作表 - llm: A tool for listing all sheets in a spreadsheet. (列出电子表格所有工作表) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: Spreadsheet Token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 URL。 - llm_description: 电子表格 token，支持输入电子表格 URL。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.py deleted file mode 100644 index ebe3f619d091d1..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ReadColsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - start_col = tool_parameters.get("start_col") - num_cols = tool_parameters.get("num_cols") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_cols(spreadsheet_token, sheet_id, sheet_name, start_col, num_cols, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.yaml deleted file mode 100644 index 34da74592d5898..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_cols.yaml +++ /dev/null @@ -1,97 +0,0 @@ -identity: - name: read_cols - author: Doug Lea - label: - en_US: Read Cols - zh_Hans: 读取工作表列数据 -description: - human: - en_US: Read Cols - zh_Hans: 读取工作表列数据 - llm: A tool for reading column data from a spreadsheet. (读取工作表列数据) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: start_col - type: number - required: false - label: - en_US: start_col - zh_Hans: 起始列号 - human_description: - en_US: Starting column number, starting from 1. - zh_Hans: 起始列号，从 1 开始。 - llm_description: 起始列号，从 1 开始。 - form: form - - - name: num_cols - type: number - required: true - label: - en_US: num_cols - zh_Hans: 读取列数 - human_description: - en_US: Number of columns to read. - zh_Hans: 读取列数 - llm_description: 读取列数 - form: form diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.py deleted file mode 100644 index 86b91b104b7029..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ReadRowsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - start_row = tool_parameters.get("start_row") - num_rows = tool_parameters.get("num_rows") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_rows(spreadsheet_token, sheet_id, sheet_name, start_row, num_rows, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.yaml deleted file mode 100644 index 5dfa8d58354125..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_rows.yaml +++ /dev/null @@ -1,97 +0,0 @@ -identity: - name: read_rows - author: Doug Lea - label: - en_US: Read Rows - zh_Hans: 读取工作表行数据 -description: - human: - en_US: Read Rows - zh_Hans: 读取工作表行数据 - llm: A tool for reading row data from a spreadsheet. (读取工作表行数据) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: start_row - type: number - required: false - label: - en_US: start_row - zh_Hans: 起始行号 - human_description: - en_US: Starting row number, starting from 1. - zh_Hans: 起始行号，从 1 开始。 - llm_description: 起始行号，从 1 开始。 - form: form - - - name: num_rows - type: number - required: true - label: - en_US: num_rows - zh_Hans: 读取行数 - human_description: - en_US: Number of rows to read. - zh_Hans: 读取行数 - llm_description: 读取行数 - form: form diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.py b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.py deleted file mode 100644 index ddd607d87838f4..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class ReadTableTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - num_range = tool_parameters.get("num_range") - query = tool_parameters.get("query") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_table(spreadsheet_token, sheet_id, sheet_name, num_range, query, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.yaml b/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.yaml deleted file mode 100644 index 10534436d66e7a..00000000000000 --- a/api/core/tools/provider/builtin/feishu_spreadsheet/tools/read_table.yaml +++ /dev/null @@ -1,122 +0,0 @@ -identity: - name: read_table - author: Doug Lea - label: - en_US: Read Table - zh_Hans: 自定义读取电子表格行列数据 -description: - human: - en_US: Read Table - zh_Hans: 自定义读取电子表格行列数据 - llm: A tool for custom reading of row and column data from a spreadsheet. (自定义读取电子表格行列数据) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: start_row - type: number - required: false - label: - en_US: start_row - zh_Hans: 起始行号 - human_description: - en_US: Starting row number, starting from 1. - zh_Hans: 起始行号，从 1 开始。 - llm_description: 起始行号，从 1 开始。 - form: form - - - name: num_rows - type: number - required: false - label: - en_US: num_rows - zh_Hans: 读取行数 - human_description: - en_US: Number of rows to read. - zh_Hans: 读取行数 - llm_description: 读取行数 - form: form - - - name: range - type: string - required: false - label: - en_US: range - zh_Hans: 取数范围 - human_description: - en_US: | - Data range, format like: A1:B2, can be empty when query=all. - zh_Hans: 取数范围,格式如:A1:B2，query=all 时可为空。 - llm_description: 取数范围,格式如:A1:B2，query=all 时可为空。 - form: llm - - - name: query - type: string - required: false - label: - en_US: query - zh_Hans: 查询 - human_description: - en_US: Pass "all" to query all data in the table, but no more than 100 columns. - zh_Hans: 传 all，表示查询表格所有数据，但最多查询 100 列数据。 - llm_description: 传 all，表示查询表格所有数据，但最多查询 100 列数据。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_task/_assets/icon.png b/api/core/tools/provider/builtin/feishu_task/_assets/icon.png deleted file mode 100644 index 3485be0d0fbd85444995dca78b51634899807537..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 3917 zcmeHK`8!nY|35Rv$S@chMwYTYii(M{N3v9;%}$eNRLVAE$sB}1Y7mMPO;kkLL)K0@ zG`2^jO=OvlD0z^vt1O@MT+jC(`2P60uFntW+}CyA@7L@7y3Tno_dD^ZgDsJ;i2wiq z@!$cg+S5TCNFY4gu9+HkUNu91z`Dra zn3cS--JiTCJttvR&menYC;#MG7C&+c`aK=BZR+>*>g%6^Z=3aOmiJ@TulZyD_>>XC zl-`2D=pMGfifRJLrR4Uv2LX5<5LLeeuw`~C+iGHf_d@E|m{`D}9#qW10rryDELubX z!{IMMq0)e^*?%Q)LHc``oXM3Y*0N()fBE&rG+tIJ`KiB1yhwnX$8zY}=>BIz^Um1E zw40?jys$$>?HMvvv*na*Sv5@?T3lv3{Uy}*adNd`M3UZU541ZHUw_#hYw)ni^o;vd ziE7wioKS-QS~fY-d*O4*lB}%5-fg-~iz-058GR3j8f#Ffd||*Qg6?1U;b*DoroI#f zzpjZox`jA$yvLgKrZ;rLwubzdKI_Re^q}`RG7{ zo7^>1+8G`Y=)A5ORr3jPvJyugcr+Sa>6WOFM#xKB^?ju45K|bVvW+jBm{Jk=xjM=4J5@_5f7yZgA;O zeYV}#4zCm(>|t!}*UGOJ8dx7#DY-j+hlsp$+tsXr5jY=`gfr>h>AqN`Oi@$vzP4?< zRVEIe*qBeg{^?=-!_|bJ8C|BA!v0F{JR<`zKJjuDx(5!tCRJG!psd?!b23Uv*>$x; z&&^pY&HNsa)Ma!^woeBmD4uWgp$Dw54N6X@xD#P5`RWcn4la2k;Z)nR0;k=~vR9H2_*d;8uYk~OcyStEIgnF=EO;P4d1DYk(q z>@@QObS2Ug_6|J7fn>`IJOwi^7if#~xm~$)A7%2e{6`qSVd2Wa^`J4QjuWDcC+wP; zIM@5*Ryc@Yr1d35nt2l3H~H}*a-oY6QoD=)9q3Jweh1UPw`aCKba4!1pZ*IA$rxO{GBN!wV9IVbEb~alZacgzy~#zfdK5ZY96h zgYLsS;Br5O+hFyIK~~yWd`qXsj>tG674I@U&1Hkn24hdOa!u%h!nC?DxM<`RnF`Lq z9@>bf;M-*i^b;u~G6TVoed2sb@DXe10u`y@8PQ-5W-QgfiHE$Bsn9|Sk;6n3)mnnD zKM$Vx$8@F`2-M>Dk>U+vpx10}s(~{P3Bc1dVPt4Xy>jKM7|4yU+vO!l4U|?}eBIyX zyFN9cW9oP=|D7GXF7$Nwkqs-KzE!y#9p9{Xab;qm$ho9PVGZ*6MAX~-eEUbw^n5m=jy0*VZAL@O{_Gmcf-@3gf35 z&)=MYECgB)xVrp9?DhHFXTB*pR8^&fOt-pjO<8X z&7#T=m*JN4{rraZPb~^m^gq)L^IS?h(&e+V@5XoqZhJCNt%1rtdlr@3G*q2)tGB?X zm3D%o|5W4e`M$LLeo_$>T^N{|u@bvc`eqSp&Q>QLIFI!aBJ=G|| zkC%Qlf9$W}lgq6&%}+=nJrtutsUQhES5jnGdHK9fG#GktBo1{%FJ$qjPHSP59h#zA z9h&;&?YTFz@s+NAqq*Yqd}FK*n5=$OUYB#XRgABi^DWZ;8;dq(B3Q%{pUcGe8oX5f zy&K2)Dp$F9w(lqp*%8;dl!YI55*mcByhj#@)g95q7bS%HeVk?wT*fq&$SaYk$8ee_ z6wY2>-IP=(3(KR?MzU{e*QYQ7*m_ptw9mT9lf6u+2K#yg6-@S;HN!*PM3bm%`3GJ} z$0UnF)=86*;^18knhA1gn)j~{WGFLT4i;7Ymx{gAzNP^=TM-60p1Ioz!|L=u(DKq-Er;*Q&A{W zC{==)f=XyO?0aVe?IANC=PC4s>^Idu5w_Z=fVglyNF%_`b6{nt{>~L1piAt6(+I^ zs#O=8Dnjap8bm z1zA{-S|1a<_SVE^Qc56N;nZ(R%V2{eX zM(f?xAD=|nycC?Et!zUZM%RM^V_DcEXjafbKNVX?XBxi;pv)1jTvOwqbT;X_OK4sI ztc4J1rvagQcbT|4_rSlZ0ccg~SIavO)p&We+1tTwKX-`m&-oINvg1(DaM$~Q^9xp& zB$6pPW@fA9cM!77N-cxP0K*n_Pe|^Ijn1W@{|tVm(?# z3cr6e$w(5*_|PLP;LNf??TrGPlv`u4$c=|HoMr_x8j!Z_m^WIOMIm74(ZV(rJR`Q8 z1g2Q7_a-3WDCxsP zh>i{QwZcp|!qG;Y&vr`o^8-Z6ZCSoSvmC|jJ#F@K%lm59*TFnfMStWWH)_rA{;ehF3z)m(XvrB-%^G}rq6q4v7#a#v?TM`~9P7M-17VXsJOCOSRs l9H-vG{cq?0|1|{WeK*e(NZd%(N9SYUptXZlxusX!e*o|W00aO4 diff --git a/api/core/tools/provider/builtin/feishu_task/feishu_task.py b/api/core/tools/provider/builtin/feishu_task/feishu_task.py deleted file mode 100644 index 6df05968d8f176..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/feishu_task.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.feishu_api_utils import auth - - -class FeishuTaskProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - auth(credentials) diff --git a/api/core/tools/provider/builtin/feishu_task/feishu_task.yaml b/api/core/tools/provider/builtin/feishu_task/feishu_task.yaml deleted file mode 100644 index 88736f79a02e87..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/feishu_task.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: feishu_task - label: - en_US: Feishu Task - zh_Hans: 飞书任务 - description: - en_US: | - Feishu Task, requires the following permissions: task:task:write、contact:user.id:readonly. - zh_Hans: | - 飞书任务，需要开通以下权限: task:task:write、contact:user.id:readonly。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your feishu app id - zh_Hans: 请输入你的飞书 app id - help: - en_US: Get your app_id and app_secret from Feishu - zh_Hans: 从飞书获取您的 app_id 和 app_secret - url: https://open.larkoffice.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_task/tools/add_members.py b/api/core/tools/provider/builtin/feishu_task/tools/add_members.py deleted file mode 100644 index e58ed22e0f4797..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/add_members.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class AddMembersTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - task_guid = tool_parameters.get("task_guid") - member_phone_or_email = tool_parameters.get("member_phone_or_email") - member_role = tool_parameters.get("member_role", "follower") - - res = client.add_members(task_guid, member_phone_or_email, member_role) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_task/tools/add_members.yaml b/api/core/tools/provider/builtin/feishu_task/tools/add_members.yaml deleted file mode 100644 index 063c0f7f04956c..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/add_members.yaml +++ /dev/null @@ -1,58 +0,0 @@ -identity: - name: add_members - author: Doug Lea - label: - en_US: Add Members - zh_Hans: 添加任务成员 -description: - human: - en_US: Add Members - zh_Hans: 添加任务成员 - llm: A tool for adding members to a Feishu task.(添加任务成员) -parameters: - - name: task_guid - type: string - required: true - label: - en_US: Task GUID - zh_Hans: 任务 GUID - human_description: - en_US: | - The GUID of the task to be added, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362 - zh_Hans: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362 - llm_description: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362 - form: llm - - - name: member_phone_or_email - type: string - required: true - label: - en_US: Task Member Phone Or Email - zh_Hans: 任务成员的电话或邮箱 - human_description: - en_US: A list of member emails or phone numbers, separated by commas. - zh_Hans: 任务成员邮箱或者手机号列表，使用逗号分隔。 - llm_description: 任务成员邮箱或者手机号列表，使用逗号分隔。 - form: llm - - - name: member_role - type: select - required: true - options: - - value: assignee - label: - en_US: assignee - zh_Hans: 负责人 - - value: follower - label: - en_US: follower - zh_Hans: 关注人 - default: "follower" - label: - en_US: member_role - zh_Hans: 成员的角色 - human_description: - en_US: Member role, optional values are "assignee" (responsible person) and "follower" (observer), with a default value of "assignee". - zh_Hans: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。 - llm_description: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。 - form: form diff --git a/api/core/tools/provider/builtin/feishu_task/tools/create_task.py b/api/core/tools/provider/builtin/feishu_task/tools/create_task.py deleted file mode 100644 index 96cdcd71f6d2ec..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/create_task.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class CreateTaskTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - summary = tool_parameters.get("summary") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - completed_time = tool_parameters.get("completed_time") - description = tool_parameters.get("description") - - res = client.create_task(summary, start_time, end_time, completed_time, description) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_task/tools/create_task.yaml b/api/core/tools/provider/builtin/feishu_task/tools/create_task.yaml deleted file mode 100644 index 7eb4af168bf740..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/create_task.yaml +++ /dev/null @@ -1,74 +0,0 @@ -identity: - name: create_task - author: Doug Lea - label: - en_US: Create Task - zh_Hans: 创建飞书任务 -description: - human: - en_US: Create Feishu Task - zh_Hans: 创建飞书任务 - llm: A tool for creating tasks in Feishu.(创建飞书任务) -parameters: - - name: summary - type: string - required: true - label: - en_US: Task Title - zh_Hans: 任务标题 - human_description: - en_US: The title of the task. - zh_Hans: 任务标题 - llm_description: 任务标题 - form: llm - - - name: description - type: string - required: false - label: - en_US: Task Description - zh_Hans: 任务备注 - human_description: - en_US: The description or notes for the task. - zh_Hans: 任务备注 - llm_description: 任务备注 - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 任务开始时间 - human_description: - en_US: | - The start time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05 - llm_description: 任务开始时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 任务结束时间 - human_description: - en_US: | - The end time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05 - llm_description: 任务结束时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: completed_time - type: string - required: false - label: - en_US: Completed Time - zh_Hans: 任务完成时间 - human_description: - en_US: | - The completion time of the task, in the format: 2006-01-02 15:04:05. Leave empty to create an incomplete task; fill in a specific time to create a completed task. - zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。 - llm_description: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.py b/api/core/tools/provider/builtin/feishu_task/tools/delete_task.py deleted file mode 100644 index dee036fee5203a..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class UpdateTaskTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - task_guid = tool_parameters.get("task_guid") - - res = client.delete_task(task_guid) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.yaml b/api/core/tools/provider/builtin/feishu_task/tools/delete_task.yaml deleted file mode 100644 index d3f97413676624..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/delete_task.yaml +++ /dev/null @@ -1,24 +0,0 @@ -identity: - name: delete_task - author: Doug Lea - label: - en_US: Delete Task - zh_Hans: 删除飞书任务 -description: - human: - en_US: Delete Task - zh_Hans: 删除飞书任务 - llm: A tool for deleting tasks in Feishu.(删除飞书任务) -parameters: - - name: task_guid - type: string - required: true - label: - en_US: Task GUID - zh_Hans: 任务 GUID - human_description: - en_US: | - The GUID of the task to be deleted, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362 - zh_Hans: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362 - llm_description: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.feishu-pre.net/client/todo/detail?guid=8c6bf822-e4da-449a-b82a-dc44020f9be9&suite_entity_num=t21587362 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_task/tools/update_task.py b/api/core/tools/provider/builtin/feishu_task/tools/update_task.py deleted file mode 100644 index 4a48cd283abf1d..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/update_task.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class UpdateTaskTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - task_guid = tool_parameters.get("task_guid") - summary = tool_parameters.get("summary") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - completed_time = tool_parameters.get("completed_time") - description = tool_parameters.get("description") - - res = client.update_task(task_guid, summary, start_time, end_time, completed_time, description) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_task/tools/update_task.yaml b/api/core/tools/provider/builtin/feishu_task/tools/update_task.yaml deleted file mode 100644 index 83c9bcb1c443ac..00000000000000 --- a/api/core/tools/provider/builtin/feishu_task/tools/update_task.yaml +++ /dev/null @@ -1,89 +0,0 @@ -identity: - name: update_task - author: Doug Lea - label: - en_US: Update Task - zh_Hans: 更新飞书任务 -description: - human: - en_US: Update Feishu Task - zh_Hans: 更新飞书任务 - llm: A tool for updating tasks in Feishu.(更新飞书任务) -parameters: - - name: task_guid - type: string - required: true - label: - en_US: Task GUID - zh_Hans: 任务 GUID - human_description: - en_US: | - The task ID, supports inputting either the Task ID or the Task link URL. Example of Task ID: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64; Example of Task link URL: https://applink.feishu-pre.net/client/todo/detail?guid=42cad8a0-f8c8-4344-9be2-d1d7e8e91b64&suite_entity_num=t21700217 - zh_Hans: | - 任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.feishu-pre.net/client/todo/detail?guid=42cad8a0-f8c8-4344-9be2-d1d7e8e91b64&suite_entity_num=t21700217 - llm_description: | - 任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.feishu-pre.net/client/todo/detail?guid=42cad8a0-f8c8-4344-9be2-d1d7e8e91b64&suite_entity_num=t21700217 - form: llm - - - name: summary - type: string - required: true - label: - en_US: Task Title - zh_Hans: 任务标题 - human_description: - en_US: The title of the task. - zh_Hans: 任务标题 - llm_description: 任务标题 - form: llm - - - name: description - type: string - required: false - label: - en_US: Task Description - zh_Hans: 任务备注 - human_description: - en_US: The description or notes for the task. - zh_Hans: 任务备注 - llm_description: 任务备注 - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 任务开始时间 - human_description: - en_US: | - The start time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05 - llm_description: 任务开始时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 任务结束时间 - human_description: - en_US: | - The end time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05 - llm_description: 任务结束时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: completed_time - type: string - required: false - label: - en_US: Completed Time - zh_Hans: 任务完成时间 - human_description: - en_US: | - The completion time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05 - llm_description: 任务完成时间，格式为：2006-01-02 15:04:05 - form: llm diff --git a/api/core/tools/provider/builtin/feishu_wiki/_assets/icon.png b/api/core/tools/provider/builtin/feishu_wiki/_assets/icon.png deleted file mode 100644 index 878672c9ae5a511f246d3211863ec786596481eb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 4252 zcmeHLdo+|?+t=Mqw_}5n^I?!j4%5*oatPzljD$2|kVK9XVVn&i#W-|O8RUs3$w(3z z!-NtsJD3Cnw*9V-s%0`KfZsy_5JmIYrSi|f9!kjeeLV_yRLOz*WPRIJL4=G zDJmo@#K*@cYHMS8j@Pq)H%Nf@J>|m6<8`~j&mk@NC=7WPA0O680MMDe|5vk0p+;|VF?MNmt_+19WtP?o z)~Kxr3F51S!y1^ShKNEJ&l$Dum@1#!w~h2-|0=A+y}e8huwqgbm*ook6m2hl&(RxM zxT?>tiDyMbE94GMzUNmcH2ITa zmLUy4C#YX=jWXmE=*(O_$yHr?l-rjk!OZhH3AV86?uc;;#dI07_efFGAHeO7uiFVj zLtSJqC4cgZ7jE!fi>nPJF`^+Y=PPCGCcW=(Zhu>81A5fsl4Nd;AW*Yp)X)0ig@)_H z*}vu!DoS;WV^PP$Smvaq-tE+Ah0e+T264jTC@ZR-J>u%-8pFwH76o`h#Fj7XIo1aA zZIoZpJsNv#IG!{5hk~OS(}=K)jTyJy%vQo7oxb(npvP^as*efX8nLfhEsM8bPWgh@ zE$bIIC<_n|ECd-G+8P2ouzeR@E?&>L@3l}0;aRtqW6CFnnj{^ls+wRnUDG*3xzmfv7EwX&VG;%WAAX2PW-o!_+<-HDK6)lfLWE$Ic?}6jGlOCQ5 z1_srwnXfl*|CrVA`gL8FFdNEu-ljMSlOb-fH4RU>0^t`|=aTyi;(HYWuXKcB`3cPr z#Z{FLE5jBfH@~NwtYM;ucN4Cnp*HdL?EE#IuGys2c3p7;3O+Nv%gxTRoAAXvhGGg%6#!^96V2xj$<_cy6k4Sk?_ zgN%~Yk0mYu)@Z8m3fj1b8>|k7)UIe3?I!4%@~~nGmSUBX{|c;d3(Vr5*0i^fb4bVI9W(wm6=B2&G4 z2=!pYUM-2Pe!h@Yqmo1)xtnKc_dm{aa_Na{PG6&*RS+ZnoQg=2n7r#&y}lhDc`H5a zolQdxkLVB?LGG(!+2XUV7R=7SOUnhT#HSWadCAVh?oVIaOnTW$gkyA?#@iM& z*Lw}4id$3HJ@F1#plL(m1Rn%-Yny96pL8DWBrm})W7SqUW`x^zB8+~7H>R(Q;$HaH;Y zQeIU*#v7CTmr~b6xn%z0z@}>gwx|ngY(Zlb)98-%j}+u1zttg3o*gR=(nekei2+AJ zV#@%7Sra}RvC`6Nq+i#RG4Xa@Ejri*Bu-`XAfs~f=*rd*E~6}cX*`Q(tpjEtt<8>h>%XFOaC(A>x0W#pSRyDs>WEj zF9{$|$Nnd!qyZrJeOtIvau~36**hAQ66(XEjI^+hnv=F*$JcVs)0hD1a|cK5)80*bXDj3I!>YHHc=e|Go7K=DPD)I|?tZte+DTgT;*nItCtk2& z=OfD!c#dgdAL^j_Ou1_mkjbnPCi}b8pRTMH}OUZWDLCiCD!4< zoM_&nRtAPXS|mDX<5VirKA1CQ9}`dcCIHKZ_?3_g9l21Wgk4q^Pj#U@IB;|8BDJu( zjOO!II4f7%SA|z7EG{U9k6kp`e%4=nt@pL&m<-4Z!mS5ndUi8+D7J}{()Xn!G`?|U z--5_L>#WO(iIe>z<5@FgIG-#3*~)b|9CBCb8gRHrrW5QrUBqsM1Bw;<9DFOA94ViZ z==)pTx12YG8do3AJk=iyFO6N+Iq;^kNb;CF@2q_qqvA<;`@qHFi3-ld9Z5P7N}!S> z(b=eVcCsmzeN$m+qZL*U&lxy#r;h%K%3ee6ndqI2@H^4fS;S934VWhK^xvSeP-oIS z9xQe~f6Rf^12+dyxy|$xkM$J>DlFlHA;qTZO%x1Y3u>7(i4gJ^g&h{$nh-A*&)<6a zvV)g^cb{Me%EgAY@u&SPJUX^UodqR?1qi79FXRb^_b5+)!s=y-`@7HGr<3fenu1~Y zRS_*xi8f((JujrQV{MO26y7T2g*=B{5qDB~S$;HMgKaj&QEc|>T5Y9ykDtFahXje> z`9=0oenp$OD>J)&LfCf)cds601V-`_@Hvbh+w`o~=hM=bcN3IQ7MwxXQXlwO|BByw zYW?78CjQC^MFQPMeh3T6w^vN}KyjjnvoBI!48ZWdBw5*1x_+{v`*7Z3Cu`fm6i!XM zmD7I|3VQAiaW}$5LXK=C7@=a@5Wr}mg<;46t90}59Q*$XB*k^MlsXtyEsApj;bPPH)h}l@5IR2PNi!}y*GID$8%WZS)XeLU z3$(d}Ybv-xEX6-$hb4DCeKUR)ZTuaJ=@H*A(n-l}o?h!~U_9!es@K`ZH%H@d6?P+z zfE0RK4;kXbd&;{G(RcWsy-Z0jI4eEJ``y52YlXI?Sa>D>19*6ea{vGU diff --git a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.py b/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.py deleted file mode 100644 index 6c5fccb1a31d0d..00000000000000 --- a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.feishu_api_utils import auth - - -class FeishuWikiProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - auth(credentials) diff --git a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.yaml b/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.yaml deleted file mode 100644 index 1fb5f71cbc5169..00000000000000 --- a/api/core/tools/provider/builtin/feishu_wiki/feishu_wiki.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: feishu_wiki - label: - en_US: Feishu Wiki - zh_Hans: 飞书知识库 - description: - en_US: | - Feishu Wiki, requires the following permissions: wiki:wiki:readonly. - zh_Hans: | - 飞书知识库，需要开通以下权限: wiki:wiki:readonly。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your feishu app id - zh_Hans: 请输入你的飞书 app id - help: - en_US: Get your app_id and app_secret from Feishu - zh_Hans: 从飞书获取您的 app_id 和 app_secret - url: https://open.larkoffice.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的飞书 app secret diff --git a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.py b/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.py deleted file mode 100644 index 374b4c9a7d1492..00000000000000 --- a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.feishu_api_utils import FeishuRequest - - -class GetWikiNodesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = FeishuRequest(app_id, app_secret) - - space_id = tool_parameters.get("space_id") - parent_node_token = tool_parameters.get("parent_node_token") - page_token = tool_parameters.get("page_token") - page_size = tool_parameters.get("page_size") - - res = client.get_wiki_nodes(space_id, parent_node_token, page_token, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.yaml b/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.yaml deleted file mode 100644 index 74d51e7bcbc32a..00000000000000 --- a/api/core/tools/provider/builtin/feishu_wiki/tools/get_wiki_nodes.yaml +++ /dev/null @@ -1,63 +0,0 @@ -identity: - name: get_wiki_nodes - author: Doug Lea - label: - en_US: Get Wiki Nodes - zh_Hans: 获取知识空间子节点列表 -description: - human: - en_US: | - Get the list of child nodes in Wiki, make sure the app/bot is a member of the wiki space. See How to add an app as a wiki base administrator (member). https://open.feishu.cn/document/server-docs/docs/wiki-v2/wiki-qa - zh_Hans: | - 获取知识库全部子节点列表，请确保应用/机器人为知识空间成员。参阅如何将应用添加为知识库管理员（成员）。https://open.feishu.cn/document/server-docs/docs/wiki-v2/wiki-qa - llm: A tool for getting all sub-nodes of a knowledge base.(获取知识空间子节点列表) -parameters: - - name: space_id - type: string - required: true - label: - en_US: Space Id - zh_Hans: 知识空间 ID - human_description: - en_US: | - The ID of the knowledge space. Supports space link URL, for example: https://svi136aogf123.feishu.cn/wiki/settings/7166950623940706332 - zh_Hans: 知识空间 ID，支持空间链接 URL，例如：https://svi136aogf123.feishu.cn/wiki/settings/7166950623940706332 - llm_description: 知识空间 ID，支持空间链接 URL，例如：https://svi136aogf123.feishu.cn/wiki/settings/7166950623940706332 - form: llm - - - name: page_size - type: number - required: false - default: 10 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The size of each page, with a maximum value of 50. - zh_Hans: 分页大小，最大值 50。 - llm_description: 分页大小，最大值 50。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave empty for the first request to start from the beginning; if the paginated query result has more items, a new page_token will be returned, which can be used to get the next set of results. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm - - - name: parent_node_token - type: string - required: false - label: - en_US: Parent Node Token - zh_Hans: 父节点 token - human_description: - en_US: The token of the parent node. - zh_Hans: 父节点 token - llm_description: 父节点 token - form: llm diff --git a/api/core/tools/provider/builtin/firecrawl/_assets/icon.svg b/api/core/tools/provider/builtin/firecrawl/_assets/icon.svg deleted file mode 100644 index e1e5f54117b1be..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/_assets/icon.svg +++ /dev/null @@ -1,3 +0,0 @@ - - 🔥 - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/firecrawl/firecrawl.py b/api/core/tools/provider/builtin/firecrawl/firecrawl.py deleted file mode 100644 index 01455d7206f185..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/firecrawl.py +++ /dev/null @@ -1,14 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.firecrawl.tools.scrape import ScrapeTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class FirecrawlProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - # Example validation using the ScrapeTool, only scraping title for minimize content - ScrapeTool().fork_tool_runtime(runtime={"credentials": credentials}).invoke( - user_id="", tool_parameters={"url": "https://google.com", "onlyIncludeTags": "title"} - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/firecrawl/firecrawl.yaml b/api/core/tools/provider/builtin/firecrawl/firecrawl.yaml deleted file mode 100644 index a48b9d9f541eb3..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/firecrawl.yaml +++ /dev/null @@ -1,35 +0,0 @@ -identity: - author: Richards Tu - name: firecrawl - label: - en_US: Firecrawl - zh_CN: Firecrawl - description: - en_US: Firecrawl API integration for web crawling and scraping. - zh_Hans: Firecrawl API 集成，用于网页爬取和数据抓取。 - icon: icon.svg - tags: - - search - - utilities -credentials_for_provider: - firecrawl_api_key: - type: secret-input - required: true - label: - en_US: Firecrawl API Key - zh_Hans: Firecrawl API 密钥 - placeholder: - en_US: Please input your Firecrawl API key - zh_Hans: 请输入您的 Firecrawl API 密钥，如果是自托管版本，可以随意填写密钥 - help: - en_US: Get your Firecrawl API key from your Firecrawl account settings.If you are using a self-hosted version, you may enter any key at your convenience. - zh_Hans: 从您的 Firecrawl 账户设置中获取 Firecrawl API 密钥。如果是自托管版本，可以随意填写密钥。 - url: https://www.firecrawl.dev/account - base_url: - type: text-input - required: false - label: - en_US: Firecrawl server's Base URL - zh_Hans: Firecrawl服务器的API URL - placeholder: - en_US: https://api.firecrawl.dev diff --git a/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py b/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py deleted file mode 100644 index 14596bf93f493f..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/firecrawl_appx.py +++ /dev/null @@ -1,122 +0,0 @@ -import json -import logging -import time -from collections.abc import Mapping -from typing import Any - -import requests -from requests.exceptions import HTTPError - -logger = logging.getLogger(__name__) - - -class FirecrawlApp: - def __init__(self, api_key: str | None = None, base_url: str | None = None): - self.api_key = api_key - self.base_url = base_url or "https://api.firecrawl.dev" - if not self.api_key: - raise ValueError("API key is required") - - def _prepare_headers(self, idempotency_key: str | None = None): - headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"} - if idempotency_key: - headers["Idempotency-Key"] = idempotency_key - return headers - - def _request( - self, - method: str, - url: str, - data: Mapping[str, Any] | None = None, - headers: Mapping[str, str] | None = None, - retries: int = 3, - backoff_factor: float = 0.3, - ) -> Mapping[str, Any] | None: - if not headers: - headers = self._prepare_headers() - for i in range(retries): - try: - response = requests.request(method, url, json=data, headers=headers) - return response.json() - except requests.exceptions.RequestException: - if i < retries - 1: - time.sleep(backoff_factor * (2**i)) - else: - raise - return None - - def scrape_url(self, url: str, **kwargs): - endpoint = f"{self.base_url}/v1/scrape" - data = {"url": url, **kwargs} - logger.debug(f"Sent request to {endpoint=} body={data}") - response = self._request("POST", endpoint, data) - if response is None: - raise HTTPError("Failed to scrape URL after multiple retries") - return response - - def map(self, url: str, **kwargs): - endpoint = f"{self.base_url}/v1/map" - data = {"url": url, **kwargs} - logger.debug(f"Sent request to {endpoint=} body={data}") - response = self._request("POST", endpoint, data) - if response is None: - raise HTTPError("Failed to perform map after multiple retries") - return response - - def crawl_url( - self, url: str, wait: bool = True, poll_interval: int = 5, idempotency_key: str | None = None, **kwargs - ): - endpoint = f"{self.base_url}/v1/crawl" - headers = self._prepare_headers(idempotency_key) - data = {"url": url, **kwargs} - logger.debug(f"Sent request to {endpoint=} body={data}") - response = self._request("POST", endpoint, data, headers) - if response is None: - raise HTTPError("Failed to initiate crawl after multiple retries") - elif response.get("success") == False: - raise HTTPError(f"Failed to crawl: {response.get('error')}") - job_id: str = response["id"] - if wait: - return self._monitor_job_status(job_id=job_id, poll_interval=poll_interval) - return response - - def check_crawl_status(self, job_id: str): - endpoint = f"{self.base_url}/v1/crawl/{job_id}" - response = self._request("GET", endpoint) - if response is None: - raise HTTPError(f"Failed to check status for job {job_id} after multiple retries") - return response - - def cancel_crawl_job(self, job_id: str): - endpoint = f"{self.base_url}/v1/crawl/{job_id}" - response = self._request("DELETE", endpoint) - if response is None: - raise HTTPError(f"Failed to cancel job {job_id} after multiple retries") - return response - - def _monitor_job_status(self, job_id: str, poll_interval: int): - while True: - status = self.check_crawl_status(job_id) - if status["status"] == "completed": - return status - elif status["status"] == "failed": - raise HTTPError(f"Job {job_id} failed: {status['error']}") - time.sleep(poll_interval) - - -def get_array_params(tool_parameters: dict[str, Any], key): - param = tool_parameters.get(key) - if param: - return param.split(",") - - -def get_json_params(tool_parameters: dict[str, Any], key): - param = tool_parameters.get(key) - if param: - try: - # support both single quotes and double quotes - param = param.replace("'", '"') - param = json.loads(param) - except Exception: - raise ValueError(f"Invalid {key} format.") - return param diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl.py b/api/core/tools/provider/builtin/firecrawl/tools/crawl.py deleted file mode 100644 index 15ab510c6c889c..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/crawl.py +++ /dev/null @@ -1,45 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp, get_array_params, get_json_params -from core.tools.tool.builtin_tool import BuiltinTool - - -class CrawlTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - """ - the api doc: - https://docs.firecrawl.dev/api-reference/endpoint/crawl - """ - app = FirecrawlApp( - api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"] - ) - - scrapeOptions = {} - payload = {} - - wait_for_results = tool_parameters.get("wait_for_results", True) - - payload["excludePaths"] = get_array_params(tool_parameters, "excludePaths") - payload["includePaths"] = get_array_params(tool_parameters, "includePaths") - payload["maxDepth"] = tool_parameters.get("maxDepth") - payload["ignoreSitemap"] = tool_parameters.get("ignoreSitemap", False) - payload["limit"] = tool_parameters.get("limit", 5) - payload["allowBackwardLinks"] = tool_parameters.get("allowBackwardLinks", False) - payload["allowExternalLinks"] = tool_parameters.get("allowExternalLinks", False) - payload["webhook"] = tool_parameters.get("webhook") - - scrapeOptions["formats"] = get_array_params(tool_parameters, "formats") - scrapeOptions["headers"] = get_json_params(tool_parameters, "headers") - scrapeOptions["includeTags"] = get_array_params(tool_parameters, "includeTags") - scrapeOptions["excludeTags"] = get_array_params(tool_parameters, "excludeTags") - scrapeOptions["onlyMainContent"] = tool_parameters.get("onlyMainContent", False) - scrapeOptions["waitFor"] = tool_parameters.get("waitFor", 0) - scrapeOptions = {k: v for k, v in scrapeOptions.items() if v not in (None, "")} - payload["scrapeOptions"] = scrapeOptions or None - - payload = {k: v for k, v in payload.items() if v not in (None, "")} - - crawl_result = app.crawl_url(url=tool_parameters["url"], wait=wait_for_results, **payload) - - return self.create_json_message(crawl_result) diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml b/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml deleted file mode 100644 index 0d7dbcac20ea16..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml +++ /dev/null @@ -1,200 +0,0 @@ -identity: - name: crawl - author: Richards Tu - label: - en_US: Crawl - zh_Hans: 深度爬取 -description: - human: - en_US: Recursively search through a urls subdomains, and gather the content. - zh_Hans: 递归爬取一个网址的子域名，并收集内容。 - llm: This tool initiates a web crawl to extract data from a specified URL. It allows configuring crawler options such as including or excluding URL patterns, generating alt text for images using LLMs (paid plan required), limiting the maximum number of pages to crawl, and returning only the main content of the page. The tool can return either a list of crawled documents or a list of URLs based on the provided options. -parameters: - - name: url - type: string - required: true - label: - en_US: Start URL - zh_Hans: 起始URL - human_description: - en_US: The base URL to start crawling from. - zh_Hans: 要爬取网站的起始URL。 - llm_description: The URL of the website that needs to be crawled. This is a required parameter. - form: llm - - name: wait_for_results - type: boolean - default: true - label: - en_US: Wait For Results - zh_Hans: 等待爬取结果 - human_description: - en_US: If you choose not to wait, it will directly return a job ID. You can use this job ID to check the crawling results or cancel the crawling task, which is usually very useful for a large-scale crawling task. - zh_Hans: 如果选择不等待，则会直接返回一个job_id，可以通过job_id查询爬取结果或取消爬取任务，这通常对于一个大型爬取任务来说非常有用。 - form: form -############## Payload ####################### - - name: excludePaths - type: string - label: - en_US: URL patterns to exclude - zh_Hans: 要排除的URL模式 - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - human_description: - en_US: | - Pages matching these patterns will be skipped. Example: blog/*, about/* - zh_Hans: 匹配这些模式的页面将被跳过。示例：blog/*, about/* - form: form - - name: includePaths - type: string - required: false - label: - en_US: URL patterns to include - zh_Hans: 要包含的URL模式 - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - human_description: - en_US: | - Only pages matching these patterns will be crawled. Example: blog/*, about/* - zh_Hans: 只有与这些模式匹配的页面才会被爬取。示例：blog/*, about/* - form: form - - name: maxDepth - type: number - label: - en_US: Maximum crawl depth - zh_Hans: 爬取深度 - human_description: - en_US: Maximum depth to crawl relative to the entered URL. A maxDepth of 0 scrapes only the entered URL. A maxDepth of 1 scrapes the entered URL and all pages one level deep. A maxDepth of 2 scrapes the entered URL and all pages up to two levels deep. Higher values follow the same pattern. - zh_Hans: 相对于输入的URL，爬取的最大深度。maxDepth为0时，仅抓取输入的URL。maxDepth为1时，抓取输入的URL以及所有一级深层页面。maxDepth为2时，抓取输入的URL以及所有两级深层页面。更高值遵循相同模式。 - form: form - min: 0 - default: 2 - - name: ignoreSitemap - type: boolean - default: true - label: - en_US: ignore Sitemap - zh_Hans: 忽略站点地图 - human_description: - en_US: Ignore the website sitemap when crawling. - zh_Hans: 爬取时忽略网站站点地图。 - form: form - - name: limit - type: number - required: false - label: - en_US: Maximum pages to crawl - zh_Hans: 最大爬取页面数 - human_description: - en_US: Specify the maximum number of pages to crawl. The crawler will stop after reaching this limit. - zh_Hans: 指定要爬取的最大页面数。爬虫将在达到此限制后停止。 - form: form - min: 1 - default: 5 - - name: allowBackwardLinks - type: boolean - default: false - label: - en_US: allow Backward Crawling - zh_Hans: 允许向后爬取 - human_description: - en_US: Enables the crawler to navigate from a specific URL to previously linked pages. For instance, from 'example.com/product/123' back to 'example.com/product' - zh_Hans: 使爬虫能够从特定URL导航到之前链接的页面。例如，从'example.com/product/123'返回到'example.com/product' - form: form - - name: allowExternalLinks - type: boolean - default: false - label: - en_US: allow External Content Links - zh_Hans: 允许爬取外链 - human_description: - en_US: Allows the crawler to follow links to external websites. - zh_Hans: - form: form - - name: webhook - type: string - label: - en_US: webhook - human_description: - en_US: | - The URL to send the webhook to. This will trigger for crawl started (crawl.started) ,every page crawled (crawl.page) and when the crawl is completed (crawl.completed or crawl.failed). The response will be the same as the /scrape endpoint. - zh_Hans: 发送Webhook的URL。这将在开始爬取（crawl.started）、每爬取一个页面（crawl.page）以及爬取完成（crawl.completed或crawl.failed）时触发。响应将与/scrape端点相同。 - form: form -############## Scrape Options ####################### - - name: formats - type: string - label: - en_US: Formats - zh_Hans: 结果的格式 - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - human_description: - en_US: | - Formats to include in the output. Available options: markdown, html, rawHtml, links, screenshot - zh_Hans: | - 输出中应包含的格式。可以填入: markdown, html, rawHtml, links, screenshot - form: form - - name: headers - type: string - label: - en_US: headers - zh_Hans: 请求头 - human_description: - en_US: | - Headers to send with the request. Can be used to send cookies, user-agent, etc. Example: {"cookies": "testcookies"} - zh_Hans: | - 随请求发送的头部。可以用来发送cookies、用户代理等。示例：{"cookies": "testcookies"} - placeholder: - en_US: Please enter an object that can be serialized in JSON - zh_Hans: 请输入可以json序列化的对象 - form: form - - name: includeTags - type: string - label: - en_US: Include Tags - zh_Hans: 仅抓取这些标签 - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - human_description: - en_US: | - Only include tags, classes and ids from the page in the final output. Use comma separated values. Example: script, .ad, #footer - zh_Hans: | - 仅在最终输出中包含HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer - form: form - - name: excludeTags - type: string - label: - en_US: Exclude Tags - zh_Hans: 要移除这些标签 - human_description: - en_US: | - Tags, classes and ids to remove from the page. Use comma separated values. Example: script, .ad, #footer - zh_Hans: | - 要在最终输出中移除HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - form: form - - name: onlyMainContent - type: boolean - default: false - label: - en_US: only Main Content - zh_Hans: 仅抓取主要内容 - human_description: - en_US: Only return the main content of the page excluding headers, navs, footers, etc. - zh_Hans: 只返回页面的主要内容，不包括头部、导航栏、尾部等。 - form: form - - name: waitFor - type: number - min: 0 - label: - en_US: wait For - zh_Hans: 等待时间 - human_description: - en_US: Wait x amount of milliseconds for the page to load to fetch content. - zh_Hans: 等待x毫秒以使页面加载并获取内容。 - form: form diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.py b/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.py deleted file mode 100644 index 0d2486c7ca4426..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp -from core.tools.tool.builtin_tool import BuiltinTool - - -class CrawlJobTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app = FirecrawlApp( - api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"] - ) - operation = tool_parameters.get("operation", "get") - if operation == "get": - result = app.check_crawl_status(job_id=tool_parameters["job_id"]) - elif operation == "cancel": - result = app.cancel_crawl_job(job_id=tool_parameters["job_id"]) - else: - raise ValueError(f"Invalid operation: {operation}") - - return self.create_json_message(result) diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.yaml b/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.yaml deleted file mode 100644 index 78008e4ad4d8a6..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/crawl_job.yaml +++ /dev/null @@ -1,37 +0,0 @@ -identity: - name: crawl_job - author: hjlarry - label: - en_US: Crawl Job - zh_Hans: 爬取任务处理 -description: - human: - en_US: Retrieve the scraping results based on the job ID, or cancel the scraping task. - zh_Hans: 根据爬取任务ID获取爬取结果，或者取消爬取任务 - llm: Retrieve the scraping results based on the job ID, or cancel the scraping task. -parameters: - - name: job_id - type: string - required: true - label: - en_US: Job ID - human_description: - en_US: Set wait_for_results to false in the Crawl tool can get the job ID. - zh_Hans: 在深度爬取工具中将等待爬取结果设置为否可以获取Job ID。 - llm_description: Set wait_for_results to false in the Crawl tool can get the job ID. - form: llm - - name: operation - type: select - required: true - options: - - value: get - label: - en_US: get crawl status - - value: cancel - label: - en_US: cancel crawl job - label: - en_US: operation - zh_Hans: 操作 - llm_description: choose the operation to perform. `get` is for getting the crawl status, `cancel` is for cancelling the crawl job. - form: llm diff --git a/api/core/tools/provider/builtin/firecrawl/tools/map.py b/api/core/tools/provider/builtin/firecrawl/tools/map.py deleted file mode 100644 index bdfb5faeb8e2c9..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/map.py +++ /dev/null @@ -1,25 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp -from core.tools.tool.builtin_tool import BuiltinTool - - -class MapTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - """ - the api doc: - https://docs.firecrawl.dev/api-reference/endpoint/map - """ - app = FirecrawlApp( - api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"] - ) - payload = {} - payload["search"] = tool_parameters.get("search") - payload["ignoreSitemap"] = tool_parameters.get("ignoreSitemap", True) - payload["includeSubdomains"] = tool_parameters.get("includeSubdomains", False) - payload["limit"] = tool_parameters.get("limit", 5000) - - map_result = app.map(url=tool_parameters["url"], **payload) - - return self.create_json_message(map_result) diff --git a/api/core/tools/provider/builtin/firecrawl/tools/map.yaml b/api/core/tools/provider/builtin/firecrawl/tools/map.yaml deleted file mode 100644 index 9913756983370a..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/map.yaml +++ /dev/null @@ -1,59 +0,0 @@ -identity: - name: map - author: hjlarry - label: - en_US: Map - zh_Hans: 地图式快爬 -description: - human: - en_US: Input a website and get all the urls on the website - extremly fast - zh_Hans: 输入一个网站，快速获取网站上的所有网址。 - llm: Input a website and get all the urls on the website - extremly fast -parameters: - - name: url - type: string - required: true - label: - en_US: Start URL - zh_Hans: 起始URL - human_description: - en_US: The base URL to start crawling from. - zh_Hans: 要爬取网站的起始URL。 - llm_description: The URL of the website that needs to be crawled. This is a required parameter. - form: llm - - name: search - type: string - label: - en_US: search - zh_Hans: 搜索查询 - human_description: - en_US: Search query to use for mapping. During the Alpha phase, the 'smart' part of the search functionality is limited to 100 search results. However, if map finds more results, there is no limit applied. - zh_Hans: 用于映射的搜索查询。在Alpha阶段，搜索功能的“智能”部分限制为最多100个搜索结果。然而，如果地图找到了更多结果，则不施加任何限制。 - llm_description: Search query to use for mapping. During the Alpha phase, the 'smart' part of the search functionality is limited to 100 search results. However, if map finds more results, there is no limit applied. - form: llm -############## Page Options ####################### - - name: ignoreSitemap - type: boolean - default: true - label: - en_US: ignore Sitemap - zh_Hans: 忽略站点地图 - human_description: - en_US: Ignore the website sitemap when crawling. - zh_Hans: 爬取时忽略网站站点地图。 - form: form - - name: includeSubdomains - type: boolean - default: false - label: - en_US: include Subdomains - zh_Hans: 包含子域名 - form: form - - name: limit - type: number - min: 0 - default: 5000 - label: - en_US: Maximum results - zh_Hans: 最大结果数量 - form: form diff --git a/api/core/tools/provider/builtin/firecrawl/tools/scrape.py b/api/core/tools/provider/builtin/firecrawl/tools/scrape.py deleted file mode 100644 index f00a9b31ce8c2c..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/scrape.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.firecrawl.firecrawl_appx import FirecrawlApp, get_array_params, get_json_params -from core.tools.tool.builtin_tool import BuiltinTool - - -class ScrapeTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]: - """ - the api doc: - https://docs.firecrawl.dev/api-reference/endpoint/scrape - """ - app = FirecrawlApp( - api_key=self.runtime.credentials["firecrawl_api_key"], base_url=self.runtime.credentials["base_url"] - ) - - payload = {} - extract = {} - - payload["formats"] = get_array_params(tool_parameters, "formats") - payload["onlyMainContent"] = tool_parameters.get("onlyMainContent", True) - payload["includeTags"] = get_array_params(tool_parameters, "includeTags") - payload["excludeTags"] = get_array_params(tool_parameters, "excludeTags") - payload["headers"] = get_json_params(tool_parameters, "headers") - payload["waitFor"] = tool_parameters.get("waitFor", 0) - payload["timeout"] = tool_parameters.get("timeout", 30000) - - extract["schema"] = get_json_params(tool_parameters, "schema") - extract["systemPrompt"] = tool_parameters.get("systemPrompt") - extract["prompt"] = tool_parameters.get("prompt") - extract = {k: v for k, v in extract.items() if v not in (None, "")} - payload["extract"] = extract or None - - payload = {k: v for k, v in payload.items() if v not in (None, "")} - - crawl_result = app.scrape_url(url=tool_parameters["url"], **payload) - markdown_result = crawl_result.get("data", {}).get("markdown", "") - return [self.create_text_message(markdown_result), self.create_json_message(crawl_result)] diff --git a/api/core/tools/provider/builtin/firecrawl/tools/scrape.yaml b/api/core/tools/provider/builtin/firecrawl/tools/scrape.yaml deleted file mode 100644 index 8f1f1348a459ca..00000000000000 --- a/api/core/tools/provider/builtin/firecrawl/tools/scrape.yaml +++ /dev/null @@ -1,152 +0,0 @@ -identity: - name: scrape - author: ahasasjeb - label: - en_US: Scrape - zh_Hans: 单页面抓取 -description: - human: - en_US: Turn any url into clean data. - zh_Hans: 将任何网址转换为干净的数据。 - llm: This tool is designed to scrape URL and output the content in Markdown format. -parameters: - - name: url - type: string - required: true - label: - en_US: URL to scrape - zh_Hans: 要抓取的URL - human_description: - en_US: The URL of the website to scrape and extract data from. - zh_Hans: 要抓取并提取数据的网站URL。 - llm_description: The URL of the website that needs to be crawled. This is a required parameter. - form: llm -############## Payload ####################### - - name: formats - type: string - label: - en_US: Formats - zh_Hans: 结果的格式 - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - human_description: - en_US: | - Formats to include in the output. Available options: markdown, html, rawHtml, links, screenshot, extract, screenshot@fullPage - zh_Hans: | - 输出中应包含的格式。可以填入: markdown, html, rawHtml, links, screenshot, extract, screenshot@fullPage - form: form - - name: onlyMainContent - type: boolean - default: false - label: - en_US: only Main Content - zh_Hans: 仅抓取主要内容 - human_description: - en_US: Only return the main content of the page excluding headers, navs, footers, etc. - zh_Hans: 只返回页面的主要内容，不包括头部、导航栏、尾部等。 - form: form - - name: includeTags - type: string - label: - en_US: Include Tags - zh_Hans: 仅抓取这些标签 - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - human_description: - en_US: | - Only include tags, classes and ids from the page in the final output. Use comma separated values. Example: script, .ad, #footer - zh_Hans: | - 仅在最终输出中包含HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer - form: form - - name: excludeTags - type: string - label: - en_US: Exclude Tags - zh_Hans: 要移除这些标签 - human_description: - en_US: | - Tags, classes and ids to remove from the page. Use comma separated values. Example: script, .ad, #footer - zh_Hans: | - 要在最终输出中移除HTML页面的这些标签，可以通过标签名、类或ID来设定，使用逗号分隔值。示例：script, .ad, #footer - placeholder: - en_US: Use commas to separate multiple tags - zh_Hans: 多个标签时使用半角逗号分隔 - form: form - - name: headers - type: string - label: - en_US: headers - zh_Hans: 请求头 - human_description: - en_US: | - Headers to send with the request. Can be used to send cookies, user-agent, etc. Example: {"cookies": "testcookies"} - zh_Hans: | - 随请求发送的头部。可以用来发送cookies、用户代理等。示例：{"cookies": "testcookies"} - placeholder: - en_US: Please enter an object that can be serialized in JSON - zh_Hans: 请输入可以json序列化的对象 - form: form - - name: waitFor - type: number - min: 0 - default: 0 - label: - en_US: wait For - zh_Hans: 等待时间 - human_description: - en_US: Wait x amount of milliseconds for the page to load to fetch content. - zh_Hans: 等待x毫秒以使页面加载并获取内容。 - form: form - - name: timeout - type: number - min: 0 - default: 30000 - label: - en_US: Timeout - human_description: - en_US: Timeout in milliseconds for the request. - zh_Hans: 请求的超时时间（以毫秒为单位）。 - form: form -############## Extractor Options ####################### - - name: schema - type: string - label: - en_US: Extractor Schema - zh_Hans: 提取时的结构 - placeholder: - en_US: Please enter an object that can be serialized in JSON - zh_Hans: 请输入可以json序列化的对象 - human_description: - en_US: | - The schema for the data to be extracted. Example: { - "type": "object", - "properties": {"company_mission": {"type": "string"}}, - "required": ["company_mission"] - } - zh_Hans: | - 使用该结构去提取，示例：{ - "type": "object", - "properties": {"company_mission": {"type": "string"}}, - "required": ["company_mission"] - } - form: form - - name: systemPrompt - type: string - label: - en_US: Extractor System Prompt - zh_Hans: 提取时的系统提示词 - human_description: - en_US: The system prompt to use for the extraction. - zh_Hans: 用于提取的系统提示。 - form: form - - name: prompt - type: string - label: - en_US: Extractor Prompt - zh_Hans: 提取时的提示词 - human_description: - en_US: The prompt to use for the extraction without a schema. - zh_Hans: 用于无schema时提取的提示词 - form: form diff --git a/api/core/tools/provider/builtin/gaode/_assets/icon.svg b/api/core/tools/provider/builtin/gaode/_assets/icon.svg deleted file mode 100644 index 0f5729e17aea8d..00000000000000 --- a/api/core/tools/provider/builtin/gaode/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/gaode/gaode.py b/api/core/tools/provider/builtin/gaode/gaode.py deleted file mode 100644 index 49a8e537fb9070..00000000000000 --- a/api/core/tools/provider/builtin/gaode/gaode.py +++ /dev/null @@ -1,28 +0,0 @@ -import urllib.parse - -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GaodeProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - if "api_key" not in credentials or not credentials.get("api_key"): - raise ToolProviderCredentialValidationError("Gaode API key is required.") - - try: - response = requests.get( - url="https://restapi.amap.com/v3/geocode/geo?address={address}&key={apikey}".format( - address=urllib.parse.quote("广东省广州市天河区广州塔"), apikey=credentials.get("api_key") - ) - ) - if response.status_code == 200 and (response.json()).get("info") == "OK": - pass - else: - raise ToolProviderCredentialValidationError((response.json()).get("info")) - except Exception as e: - raise ToolProviderCredentialValidationError("Gaode API Key is invalid. {}".format(e)) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/gaode/gaode.yaml b/api/core/tools/provider/builtin/gaode/gaode.yaml deleted file mode 100644 index 2eb3b161a29915..00000000000000 --- a/api/core/tools/provider/builtin/gaode/gaode.yaml +++ /dev/null @@ -1,34 +0,0 @@ -identity: - author: CharlieWei - name: gaode - label: - en_US: Autonavi - zh_Hans: 高德 - pt_BR: Autonavi - description: - en_US: Autonavi Open Platform service toolkit. - zh_Hans: 高德开放平台服务工具包。 - pt_BR: Kit de ferramentas de serviço Autonavi Open Platform. - icon: icon.svg - tags: - - utilities - - productivity - - travel - - weather -credentials_for_provider: - api_key: - type: secret-input - required: true - label: - en_US: API Key - zh_Hans: API Key - pt_BR: Fogo a chave - placeholder: - en_US: Please enter your Autonavi API Key - zh_Hans: 请输入你的高德开放平台 API Key - pt_BR: Insira sua chave de API Autonavi - help: - en_US: Get your API Key from Autonavi - zh_Hans: 从高德获取您的 API Key - pt_BR: Obtenha sua chave de API do Autonavi - url: https://console.amap.com/dev/key/app diff --git a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py b/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py deleted file mode 100644 index 4642415e6dd394..00000000000000 --- a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.py +++ /dev/null @@ -1,65 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GaodeRepositoriesTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - city = tool_parameters.get("city", "") - if not city: - return self.create_text_message("Please tell me your city") - - if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"): - return self.create_text_message("Gaode API key is required.") - - try: - s = requests.session() - api_domain = "https://restapi.amap.com/v3" - city_response = s.request( - method="GET", - headers={"Content-Type": "application/json; charset=utf-8"}, - url="{url}/config/district?keywords={keywords}&subdistrict=0&extensions=base&key={apikey}".format( - url=api_domain, keywords=city, apikey=self.runtime.credentials.get("api_key") - ), - ) - City_data = city_response.json() - if city_response.status_code == 200 and City_data.get("info") == "OK": - if len(City_data.get("districts")) > 0: - CityCode = City_data["districts"][0]["adcode"] - weatherInfo_response = s.request( - method="GET", - url="{url}/weather/weatherInfo?city={citycode}&extensions=all&key={apikey}&output=json".format( - url=api_domain, citycode=CityCode, apikey=self.runtime.credentials.get("api_key") - ), - ) - weatherInfo_data = weatherInfo_response.json() - if weatherInfo_response.status_code == 200 and weatherInfo_data.get("info") == "OK": - contents = [] - if len(weatherInfo_data.get("forecasts")) > 0: - for item in weatherInfo_data["forecasts"][0]["casts"]: - content = {} - content["date"] = item.get("date") - content["week"] = item.get("week") - content["dayweather"] = item.get("dayweather") - content["daytemp_float"] = item.get("daytemp_float") - content["daywind"] = item.get("daywind") - content["nightweather"] = item.get("nightweather") - content["nighttemp_float"] = item.get("nighttemp_float") - contents.append(content) - s.close() - return self.create_text_message( - self.summary(user_id=user_id, content=json.dumps(contents, ensure_ascii=False)) - ) - s.close() - return self.create_text_message(f"No weather information for {city} was found.") - except Exception as e: - return self.create_text_message("Gaode API Key and Api Version is invalid. {}".format(e)) diff --git a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.yaml b/api/core/tools/provider/builtin/gaode/tools/gaode_weather.yaml deleted file mode 100644 index e41851e188edee..00000000000000 --- a/api/core/tools/provider/builtin/gaode/tools/gaode_weather.yaml +++ /dev/null @@ -1,28 +0,0 @@ -identity: - name: gaode_weather - author: CharlieWei - label: - en_US: Weather Forecast - zh_Hans: 天气预报 - pt_BR: Previsão do tempo - icon: icon.svg -description: - human: - en_US: Weather forecast inquiry - zh_Hans: 天气预报查询。 - pt_BR: Inquérito sobre previsão meteorológica. - llm: A tool when you want to ask about the weather or weather-related question. -parameters: - - name: city - type: string - required: true - label: - en_US: city - zh_Hans: 城市 - pt_BR: cidade - human_description: - en_US: Target city for weather forecast query. - zh_Hans: 天气预报查询的目标城市。 - pt_BR: Cidade de destino para consulta de previsão do tempo. - llm_description: If you don't know you can extract the city name from the question or you can reply：Please tell me your city. You have to extract the Chinese city name from the question. - form: llm diff --git a/api/core/tools/provider/builtin/getimgai/_assets/icon.svg b/api/core/tools/provider/builtin/getimgai/_assets/icon.svg deleted file mode 100644 index 6b2513386da458..00000000000000 --- a/api/core/tools/provider/builtin/getimgai/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/getimgai/getimgai.py b/api/core/tools/provider/builtin/getimgai/getimgai.py deleted file mode 100644 index bbd07d120fd0ea..00000000000000 --- a/api/core/tools/provider/builtin/getimgai/getimgai.py +++ /dev/null @@ -1,19 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.getimgai.tools.text2image import Text2ImageTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GetImgAIProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - # Example validation using the text2image tool - Text2ImageTool().fork_tool_runtime(runtime={"credentials": credentials}).invoke( - user_id="", - tool_parameters={ - "prompt": "A fire egg", - "response_format": "url", - "style": "photorealism", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/getimgai/getimgai.yaml b/api/core/tools/provider/builtin/getimgai/getimgai.yaml deleted file mode 100644 index c9db0a9e22a6c4..00000000000000 --- a/api/core/tools/provider/builtin/getimgai/getimgai.yaml +++ /dev/null @@ -1,29 +0,0 @@ -identity: - author: Matri Qi - name: getimgai - label: - en_US: getimg.ai - zh_CN: getimg.ai - description: - en_US: GetImg API integration for image generation and scraping. - icon: icon.svg - tags: - - image -credentials_for_provider: - getimg_api_key: - type: secret-input - required: true - label: - en_US: getimg.ai API Key - placeholder: - en_US: Please input your getimg.ai API key - help: - en_US: Get your getimg.ai API key from your getimg.ai account settings. If you are using a self-hosted version, you may enter any key at your convenience. - url: https://dashboard.getimg.ai/api-keys - base_url: - type: text-input - required: false - label: - en_US: getimg.ai server's Base URL - placeholder: - en_US: https://api.getimg.ai/v1 diff --git a/api/core/tools/provider/builtin/getimgai/getimgai_appx.py b/api/core/tools/provider/builtin/getimgai/getimgai_appx.py deleted file mode 100644 index 0e95a5f654505f..00000000000000 --- a/api/core/tools/provider/builtin/getimgai/getimgai_appx.py +++ /dev/null @@ -1,55 +0,0 @@ -import logging -import time -from collections.abc import Mapping -from typing import Any - -import requests -from requests.exceptions import HTTPError - -logger = logging.getLogger(__name__) - - -class GetImgAIApp: - def __init__(self, api_key: str | None = None, base_url: str | None = None): - self.api_key = api_key - self.base_url = base_url or "https://api.getimg.ai/v1" - if not self.api_key: - raise ValueError("API key is required") - - def _prepare_headers(self): - headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"} - return headers - - def _request( - self, - method: str, - url: str, - data: Mapping[str, Any] | None = None, - headers: Mapping[str, str] | None = None, - retries: int = 3, - backoff_factor: float = 0.3, - ) -> Mapping[str, Any] | None: - for i in range(retries): - try: - response = requests.request(method, url, json=data, headers=headers) - response.raise_for_status() - return response.json() - except requests.exceptions.RequestException as e: - if i < retries - 1 and isinstance(e, HTTPError) and e.response.status_code >= 500: - time.sleep(backoff_factor * (2**i)) - else: - raise - return None - - def text2image(self, mode: str, **kwargs): - data = kwargs["params"] - if not data.get("prompt"): - raise ValueError("Prompt is required") - - endpoint = f"{self.base_url}/{mode}/text-to-image" - headers = self._prepare_headers() - logger.debug(f"Send request to {endpoint=} body={data}") - response = self._request("POST", endpoint, data, headers) - if response is None: - raise HTTPError("Failed to initiate getimg.ai after multiple retries") - return response diff --git a/api/core/tools/provider/builtin/getimgai/tools/text2image.py b/api/core/tools/provider/builtin/getimgai/tools/text2image.py deleted file mode 100644 index c556749552c8ef..00000000000000 --- a/api/core/tools/provider/builtin/getimgai/tools/text2image.py +++ /dev/null @@ -1,39 +0,0 @@ -import json -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.getimgai.getimgai_appx import GetImgAIApp -from core.tools.tool.builtin_tool import BuiltinTool - - -class Text2ImageTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - app = GetImgAIApp( - api_key=self.runtime.credentials["getimg_api_key"], base_url=self.runtime.credentials["base_url"] - ) - - options = { - "style": tool_parameters.get("style"), - "prompt": tool_parameters.get("prompt"), - "aspect_ratio": tool_parameters.get("aspect_ratio"), - "output_format": tool_parameters.get("output_format", "jpeg"), - "response_format": tool_parameters.get("response_format", "url"), - "width": tool_parameters.get("width"), - "height": tool_parameters.get("height"), - "steps": tool_parameters.get("steps"), - "negative_prompt": tool_parameters.get("negative_prompt"), - "prompt_2": tool_parameters.get("prompt_2"), - } - options = {k: v for k, v in options.items() if v} - - text2image_result = app.text2image(mode=tool_parameters.get("mode", "essential-v2"), params=options, wait=True) - - if not isinstance(text2image_result, str): - text2image_result = json.dumps(text2image_result, ensure_ascii=False, indent=4) - - if not text2image_result: - return self.create_text_message("getimg.ai request failed.") - - return self.create_text_message(text2image_result) diff --git a/api/core/tools/provider/builtin/getimgai/tools/text2image.yaml b/api/core/tools/provider/builtin/getimgai/tools/text2image.yaml deleted file mode 100644 index d972186f56d6a6..00000000000000 --- a/api/core/tools/provider/builtin/getimgai/tools/text2image.yaml +++ /dev/null @@ -1,167 +0,0 @@ -identity: - name: text2image - author: Matri Qi - label: - en_US: text2image - icon: icon.svg -description: - human: - en_US: Generate image via getimg.ai. - llm: This tool is used to generate image from prompt or image via https://getimg.ai. -parameters: - - name: prompt - type: string - required: true - label: - en_US: prompt - human_description: - en_US: The text prompt used to generate the image. The getimg.aier will generate an image based on this prompt. - llm_description: this prompt text will be used to generate image. - form: llm - - name: mode - type: select - required: false - label: - en_US: mode - human_description: - en_US: The getimg.ai mode to use. The mode determines the endpoint used to generate the image. - form: form - options: - - value: "essential-v2" - label: - en_US: essential-v2 - - value: stable-diffusion-xl - label: - en_US: stable-diffusion-xl - - value: stable-diffusion - label: - en_US: stable-diffusion - - value: latent-consistency - label: - en_US: latent-consistency - - name: style - type: select - required: false - label: - en_US: style - human_description: - en_US: The style preset to use. The style preset guides the generation towards a particular style. It's just efficient for `Essential V2` mode. - form: form - options: - - value: photorealism - label: - en_US: photorealism - - value: anime - label: - en_US: anime - - value: art - label: - en_US: art - - name: aspect_ratio - type: select - required: false - label: - en_US: "aspect ratio" - human_description: - en_US: The aspect ratio of the generated image. It's just efficient for `Essential V2` mode. - form: form - options: - - value: "1:1" - label: - en_US: "1:1" - - value: "4:5" - label: - en_US: "4:5" - - value: "5:4" - label: - en_US: "5:4" - - value: "2:3" - label: - en_US: "2:3" - - value: "3:2" - label: - en_US: "3:2" - - value: "4:7" - label: - en_US: "4:7" - - value: "7:4" - label: - en_US: "7:4" - - name: output_format - type: select - required: false - label: - en_US: "output format" - human_description: - en_US: The file format of the generated image. - form: form - options: - - value: jpeg - label: - en_US: jpeg - - value: png - label: - en_US: png - - name: response_format - type: select - required: false - label: - en_US: "response format" - human_description: - en_US: The format in which the generated images are returned. Must be one of url or b64. URLs are only valid for 1 hour after the image has been generated. - form: form - options: - - value: url - label: - en_US: url - - value: b64 - label: - en_US: b64 - - name: model - type: string - required: false - label: - en_US: model - human_description: - en_US: Model ID supported by this pipeline and family. It's just efficient for `Stable Diffusion XL`, `Stable Diffusion`, `Latent Consistency` mode. - form: form - - name: negative_prompt - type: string - required: false - label: - en_US: negative prompt - human_description: - en_US: Text input that will not guide the image generation. It's just efficient for `Stable Diffusion XL`, `Stable Diffusion`, `Latent Consistency` mode. - form: form - - name: prompt_2 - type: string - required: false - label: - en_US: prompt2 - human_description: - en_US: Prompt sent to second tokenizer and text encoder. If not defined, prompt is used in both text-encoders. It's just efficient for `Stable Diffusion XL` mode. - form: form - - name: width - type: number - required: false - label: - en_US: width - human_description: - en_US: he width of the generated image in pixels. Width needs to be multiple of 64. - form: form - - name: height - type: number - required: false - label: - en_US: height - human_description: - en_US: he height of the generated image in pixels. Height needs to be multiple of 64. - form: form - - name: steps - type: number - required: false - label: - en_US: steps - human_description: - en_US: The number of denoising steps. More steps usually can produce higher quality images, but take more time to generate. It's just efficient for `Stable Diffusion XL`, `Stable Diffusion`, `Latent Consistency` mode. - form: form diff --git a/api/core/tools/provider/builtin/gitee_ai/_assets/icon.svg b/api/core/tools/provider/builtin/gitee_ai/_assets/icon.svg deleted file mode 100644 index 6dd75d1a6b5b44..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/_assets/icon.svg +++ /dev/null @@ -1,3 +0,0 @@ - - - diff --git a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.py b/api/core/tools/provider/builtin/gitee_ai/gitee_ai.py deleted file mode 100644 index 151cafec14b2b7..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.py +++ /dev/null @@ -1,17 +0,0 @@ -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GiteeAIProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - url = "https://ai.gitee.com/api/base/account/me" - headers = { - "accept": "application/json", - "authorization": f"Bearer {credentials.get('api_key')}", - } - - response = requests.get(url, headers=headers) - if response.status_code != 200: - raise ToolProviderCredentialValidationError("GiteeAI API key is invalid") diff --git a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.yaml b/api/core/tools/provider/builtin/gitee_ai/gitee_ai.yaml deleted file mode 100644 index d0475665dd7ac7..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/gitee_ai.yaml +++ /dev/null @@ -1,22 +0,0 @@ -identity: - author: Gitee AI - name: gitee_ai - label: - en_US: Gitee AI - zh_Hans: Gitee AI - description: - en_US: Quickly experience large models and explore the leading AI open source world - zh_Hans: 快速体验大模型，领先探索 AI 开源世界 - icon: icon.svg - tags: - - image -credentials_for_provider: - api_key: - type: secret-input - required: true - label: - en_US: API Key - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - url: https://ai.gitee.com/dashboard/settings/tokens diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.py b/api/core/tools/provider/builtin/gitee_ai/tools/embedding.py deleted file mode 100644 index ab03759c1966ad..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.py +++ /dev/null @@ -1,25 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GiteeAIToolEmbedding(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "content-type": "application/json", - "authorization": f"Bearer {self.runtime.credentials['api_key']}", - } - - payload = {"inputs": tool_parameters.get("inputs")} - model = tool_parameters.get("model", "bge-m3") - url = f"https://ai.gitee.com/api/serverless/{model}/embeddings" - response = requests.post(url, json=payload, headers=headers) - if response.status_code != 200: - return self.create_text_message(f"Got Error Response:{response.text}") - - return [self.create_text_message(response.content.decode("utf-8"))] diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.yaml b/api/core/tools/provider/builtin/gitee_ai/tools/embedding.yaml deleted file mode 100644 index 53e569d731d072..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/tools/embedding.yaml +++ /dev/null @@ -1,37 +0,0 @@ -identity: - name: embedding - author: gitee_ai - label: - en_US: embedding - icon: icon.svg -description: - human: - en_US: Generate word embeddings using Serverless-supported models (compatible with OpenAI) - llm: This tool is used to generate word embeddings from text input. -parameters: - - name: model - type: string - required: true - in: path - description: - en_US: Supported Embedding (compatible with OpenAI) interface models - enum: - - bge-m3 - - bge-large-zh-v1.5 - - bge-small-zh-v1.5 - label: - en_US: Service Model - zh_Hans: 服务模型 - default: bge-m3 - form: form - - name: inputs - type: string - required: true - label: - en_US: Input Text - zh_Hans: 输入文本 - human_description: - en_US: The text input used to generate embeddings. - zh_Hans: 用于生成词向量的输入文本。 - llm_description: This text input will be used to generate embeddings. - form: llm diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py deleted file mode 100644 index e3558ce69915be..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.py +++ /dev/null @@ -1,26 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GiteeAIToolRiskControl(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "content-type": "application/json", - "authorization": f"Bearer {self.runtime.credentials['api_key']}", - } - - inputs = [{"type": "text", "text": tool_parameters.get("input-text")}] - model = tool_parameters.get("model", "Security-semantic-filtering") - payload = {"model": model, "input": inputs} - url = "https://ai.gitee.com/v1/moderations" - response = requests.post(url, json=payload, headers=headers) - if response.status_code != 200: - return self.create_text_message(f"Got Error Response:{response.text}") - - return [self.create_text_message(response.content.decode("utf-8"))] diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml b/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml deleted file mode 100644 index 6e7229dc1c54d5..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/tools/risk-control.yaml +++ /dev/null @@ -1,32 +0,0 @@ -identity: - name: risk control - author: gitee_ai - label: - en_US: risk control identification - zh_Hans: 风控识别 - icon: icon.svg -description: - human: - en_US: Ensuring the protection and compliance of sensitive information through the filtering and analysis of data semantics - zh_Hans: 通过对数据语义的过滤和分析，确保敏感信息的保护和合规性 - llm: This tool is used to risk control identification. -parameters: - - name: model - type: string - required: true - default: Security-semantic-filtering - label: - en_US: Service Model - zh_Hans: 服务模型 - form: form - - name: input-text - type: string - required: true - label: - en_US: Input Text - zh_Hans: 输入文本 - human_description: - en_US: The text input for filtering and analysis. - zh_Hans: 用于分析过滤的文本 - llm_description: The text input for filtering and analysis. - form: llm diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.py b/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.py deleted file mode 100644 index bb0b2c915b333c..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.py +++ /dev/null @@ -1,33 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GiteeAIToolText2Image(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "content-type": "application/json", - "authorization": f"Bearer {self.runtime.credentials['api_key']}", - } - - payload = { - "inputs": tool_parameters.get("inputs"), - "width": tool_parameters.get("width", "720"), - "height": tool_parameters.get("height", "720"), - } - model = tool_parameters.get("model", "Kolors") - url = f"https://ai.gitee.com/api/serverless/{model}/text-to-image" - - response = requests.post(url, json=payload, headers=headers) - if response.status_code != 200: - return self.create_text_message(f"Got Error Response:{response.text}") - - # The returned image is base64 and needs to be mark as an image - result = [self.create_blob_message(blob=response.content, meta={"mime_type": "image/jpeg"})] - - return result diff --git a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.yaml b/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.yaml deleted file mode 100644 index 5e03f9abe9dfe4..00000000000000 --- a/api/core/tools/provider/builtin/gitee_ai/tools/text-to-image.yaml +++ /dev/null @@ -1,72 +0,0 @@ -identity: - name: text to image - author: gitee_ai - label: - en_US: text to image - icon: icon.svg -description: - human: - en_US: generate images using a variety of popular models - llm: This tool is used to generate image from text. -parameters: - - name: model - type: select - required: true - options: - - value: flux-1-schnell - label: - en_US: flux-1-schnell - - value: Kolors - label: - en_US: Kolors - - value: stable-diffusion-3-medium - label: - en_US: stable-diffusion-3-medium - - value: stable-diffusion-xl-base-1.0 - label: - en_US: stable-diffusion-xl-base-1.0 - - value: stable-diffusion-v1-4 - label: - en_US: stable-diffusion-v1-4 - default: Kolors - label: - en_US: Choose Image Model - zh_Hans: 选择生成图片的模型 - form: form - - name: inputs - type: string - required: true - label: - en_US: Input Text - zh_Hans: 输入文本 - human_description: - en_US: The text input used to generate the image. - zh_Hans: 用于生成图片的输入文本。 - llm_description: This text input will be used to generate image. - form: llm - - name: width - type: number - required: true - default: 720 - min: 1 - max: 1024 - label: - en_US: Image Width - zh_Hans: 图片宽度 - human_description: - en_US: The width of the generated image. - zh_Hans: 生成图片的宽度。 - form: form - - name: height - type: number - required: true - default: 720 - min: 1 - max: 1024 - label: - en_US: Image Height - zh_Hans: 图片高度 - human_description: - en_US: The height of the generated image. - zh_Hans: 生成图片的高度。 - form: form diff --git a/api/core/tools/provider/builtin/github/_assets/icon.svg b/api/core/tools/provider/builtin/github/_assets/icon.svg deleted file mode 100644 index d56adb2c2f9955..00000000000000 --- a/api/core/tools/provider/builtin/github/_assets/icon.svg +++ /dev/null @@ -1,17 +0,0 @@ - - - github [#142] - Created with Sketch. - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/github/github.py b/api/core/tools/provider/builtin/github/github.py deleted file mode 100644 index 87a34ac3e806ea..00000000000000 --- a/api/core/tools/provider/builtin/github/github.py +++ /dev/null @@ -1,32 +0,0 @@ -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GithubProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - if "access_tokens" not in credentials or not credentials.get("access_tokens"): - raise ToolProviderCredentialValidationError("Github API Access Tokens is required.") - if "api_version" not in credentials or not credentials.get("api_version"): - api_version = "2022-11-28" - else: - api_version = credentials.get("api_version") - - try: - headers = { - "Content-Type": "application/vnd.github+json", - "Authorization": f"Bearer {credentials.get('access_tokens')}", - "X-GitHub-Api-Version": api_version, - } - - response = requests.get( - url="https://api.github.com/search/users?q={account}".format(account="charli117"), headers=headers - ) - if response.status_code != 200: - raise ToolProviderCredentialValidationError((response.json()).get("message")) - except Exception as e: - raise ToolProviderCredentialValidationError("Github API Key and Api Version is invalid. {}".format(e)) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/github/github.yaml b/api/core/tools/provider/builtin/github/github.yaml deleted file mode 100644 index c3d85fc3f69cf7..00000000000000 --- a/api/core/tools/provider/builtin/github/github.yaml +++ /dev/null @@ -1,48 +0,0 @@ -identity: - author: CharlieWei - name: github - label: - en_US: Github - zh_Hans: Github - pt_BR: Github - description: - en_US: GitHub is an online software source code hosting service. - zh_Hans: GitHub是一个在线软件源代码托管服务平台。 - pt_BR: GitHub é uma plataforma online para serviços de hospedagem de código fonte de software. - icon: icon.svg - tags: - - utilities -credentials_for_provider: - access_tokens: - type: secret-input - required: true - label: - en_US: Access Tokens - zh_Hans: Access Tokens - pt_BR: Tokens de acesso - placeholder: - en_US: Please input your Github Access Tokens - zh_Hans: 请输入你的 Github Access Tokens - pt_BR: Insira seus Tokens de Acesso do Github - help: - en_US: Get your Access Tokens from Github - zh_Hans: 从 Github 获取您的 Access Tokens - pt_BR: Obtenha sua chave da API do Google no Google - url: https://github.com/settings/tokens?type=beta - api_version: - type: text-input - required: false - default: '2022-11-28' - label: - en_US: API Version - zh_Hans: API Version - pt_BR: Versão da API - placeholder: - en_US: Please input your Github API Version - zh_Hans: 请输入你的 Github API Version - pt_BR: Insira sua versão da API do Github - help: - en_US: Get your API Version from Github - zh_Hans: 从 Github 获取您的 API Version - pt_BR: Obtenha sua versão da API do Github - url: https://docs.github.com/en/rest/about-the-rest-api/api-versions?apiVersion=2022-11-28 diff --git a/api/core/tools/provider/builtin/github/tools/github_repositories.py b/api/core/tools/provider/builtin/github/tools/github_repositories.py deleted file mode 100644 index 32f9922e651785..00000000000000 --- a/api/core/tools/provider/builtin/github/tools/github_repositories.py +++ /dev/null @@ -1,70 +0,0 @@ -import json -from datetime import datetime -from typing import Any, Union -from urllib.parse import quote - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GithubRepositoriesTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - top_n = tool_parameters.get("top_n", 5) - query = tool_parameters.get("query", "") - if not query: - return self.create_text_message("Please input symbol") - - if "access_tokens" not in self.runtime.credentials or not self.runtime.credentials.get("access_tokens"): - return self.create_text_message("Github API Access Tokens is required.") - if "api_version" not in self.runtime.credentials or not self.runtime.credentials.get("api_version"): - api_version = "2022-11-28" - else: - api_version = self.runtime.credentials.get("api_version") - - try: - headers = { - "Content-Type": "application/vnd.github+json", - "Authorization": f"Bearer {self.runtime.credentials.get('access_tokens')}", - "X-GitHub-Api-Version": api_version, - } - s = requests.session() - api_domain = "https://api.github.com" - response = s.request( - method="GET", - headers=headers, - url=f"{api_domain}/search/repositories?q={quote(query)}&sort=stars&per_page={top_n}&order=desc", - ) - response_data = response.json() - if response.status_code == 200 and isinstance(response_data.get("items"), list): - contents = [] - if len(response_data.get("items")) > 0: - for item in response_data.get("items"): - content = {} - updated_at_object = datetime.strptime(item["updated_at"], "%Y-%m-%dT%H:%M:%SZ") - content["owner"] = item["owner"]["login"] - content["name"] = item["name"] - content["description"] = ( - item["description"][:100] + "..." if len(item["description"]) > 100 else item["description"] - ) - content["url"] = item["html_url"] - content["star"] = item["watchers"] - content["forks"] = item["forks"] - content["updated"] = updated_at_object.strftime("%Y-%m-%d") - contents.append(content) - s.close() - return self.create_text_message( - self.summary(user_id=user_id, content=json.dumps(contents, ensure_ascii=False)) - ) - else: - return self.create_text_message(f"No items related to {query} were found.") - else: - return self.create_text_message((response.json()).get("message")) - except Exception as e: - return self.create_text_message("Github API Key and Api Version is invalid. {}".format(e)) diff --git a/api/core/tools/provider/builtin/github/tools/github_repositories.yaml b/api/core/tools/provider/builtin/github/tools/github_repositories.yaml deleted file mode 100644 index c170aee797fe4d..00000000000000 --- a/api/core/tools/provider/builtin/github/tools/github_repositories.yaml +++ /dev/null @@ -1,42 +0,0 @@ -identity: - name: github_repositories - author: CharlieWei - label: - en_US: Search Repositories - zh_Hans: 仓库搜索 - pt_BR: Pesquisar Repositórios - icon: icon.svg -description: - human: - en_US: Search the Github repository to retrieve the open source projects you need - zh_Hans: 搜索Github仓库，检索你需要的开源项目。 - pt_BR: Pesquise o repositório do Github para recuperar os projetos de código aberto necessários. - llm: A tool when you wants to search for popular warehouses or open source projects for any keyword. format query condition like "keywords+language:js", language can be other dev languages. -parameters: - - name: query - type: string - required: true - label: - en_US: query - zh_Hans: 关键字 - pt_BR: consulta - human_description: - en_US: You want to find the project development language, keywords, For example. Find 10 Python developed PDF document parsing projects. - zh_Hans: 你想要找的项目开发语言、关键字，如：找10个Python开发的PDF文档解析项目。 - pt_BR: Você deseja encontrar a linguagem de desenvolvimento do projeto, palavras-chave, Por exemplo. Encontre 10 projetos de análise de documentos PDF desenvolvidos em Python. - llm_description: The query of you want to search, format query condition like "keywords+language:js", language can be other dev languages. - form: llm - - name: top_n - type: number - default: 5 - required: true - label: - en_US: Top N - zh_Hans: Top N - pt_BR: Topo N - human_description: - en_US: Number of records returned by sorting based on stars. 5 is returned by default. - zh_Hans: 基于stars排序返回的记录数, 默认返回5条。 - pt_BR: Número de registros retornados por classificação com base em estrelas. 5 é retornado por padrão. - llm_description: Extract the first N records from the returned result. - form: llm diff --git a/api/core/tools/provider/builtin/gitlab/_assets/gitlab.svg b/api/core/tools/provider/builtin/gitlab/_assets/gitlab.svg deleted file mode 100644 index 07734077d5d300..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/_assets/gitlab.svg +++ /dev/null @@ -1,2 +0,0 @@ - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/gitlab/gitlab.py b/api/core/tools/provider/builtin/gitlab/gitlab.py deleted file mode 100644 index 9bd4a0bd52ea64..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/gitlab.py +++ /dev/null @@ -1,32 +0,0 @@ -from typing import Any - -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GitlabProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - if "access_tokens" not in credentials or not credentials.get("access_tokens"): - raise ToolProviderCredentialValidationError("Gitlab Access Tokens is required.") - - if "site_url" not in credentials or not credentials.get("site_url"): - site_url = "https://gitlab.com" - else: - site_url = credentials.get("site_url") - - try: - headers = { - "Content-Type": "application/vnd.text+json", - "Authorization": f"Bearer {credentials.get('access_tokens')}", - } - - response = requests.get(url=f"{site_url}/api/v4/user", headers=headers) - if response.status_code != 200: - raise ToolProviderCredentialValidationError((response.json()).get("message")) - except Exception as e: - raise ToolProviderCredentialValidationError("Gitlab Access Tokens is invalid. {}".format(e)) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/gitlab/gitlab.yaml b/api/core/tools/provider/builtin/gitlab/gitlab.yaml deleted file mode 100644 index 22d7ebf73ac2aa..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/gitlab.yaml +++ /dev/null @@ -1,38 +0,0 @@ -identity: - author: Leo.Wang - name: gitlab - label: - en_US: GitLab - zh_Hans: GitLab - description: - en_US: GitLab plugin, API v4 only. - zh_Hans: 用于获取GitLab内容的插件，目前仅支持 API v4。 - icon: gitlab.svg -credentials_for_provider: - access_tokens: - type: secret-input - required: true - label: - en_US: GitLab access token - zh_Hans: GitLab access token - placeholder: - en_US: Please input your GitLab access token - zh_Hans: 请输入你的 GitLab access token - help: - en_US: Get your GitLab access token from GitLab - zh_Hans: 从 GitLab 获取您的 access token - url: https://docs.gitlab.com/16.9/ee/api/oauth2.html - site_url: - type: text-input - required: false - default: 'https://gitlab.com' - label: - en_US: GitLab site url - zh_Hans: GitLab site url - placeholder: - en_US: Please input your GitLab site url - zh_Hans: 请输入你的 GitLab site url - help: - en_US: Find your GitLab url - zh_Hans: 找到你的 GitLab url - url: https://gitlab.com/help diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.py deleted file mode 100644 index 716da7c8c110f3..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.py +++ /dev/null @@ -1,134 +0,0 @@ -import json -import urllib.parse -from datetime import datetime, timedelta -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GitlabCommitsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - branch = tool_parameters.get("branch", "") - repository = tool_parameters.get("repository", "") - employee = tool_parameters.get("employee", "") - start_time = tool_parameters.get("start_time", "") - end_time = tool_parameters.get("end_time", "") - change_type = tool_parameters.get("change_type", "all") - - if not repository: - return self.create_text_message("Either repository is required") - - if not start_time: - start_time = (datetime.utcnow() - timedelta(days=1)).isoformat() - if not end_time: - end_time = datetime.utcnow().isoformat() - - access_token = self.runtime.credentials.get("access_tokens") - site_url = self.runtime.credentials.get("site_url") - - if "access_tokens" not in self.runtime.credentials or not self.runtime.credentials.get("access_tokens"): - return self.create_text_message("Gitlab API Access Tokens is required.") - if "site_url" not in self.runtime.credentials or not self.runtime.credentials.get("site_url"): - site_url = "https://gitlab.com" - - # Get commit content - result = self.fetch_commits( - site_url, access_token, repository, branch, employee, start_time, end_time, change_type, is_repository=True - ) - - return [self.create_json_message(item) for item in result] - - def fetch_commits( - self, - site_url: str, - access_token: str, - repository: str, - branch: str, - employee: str, - start_time: str, - end_time: str, - change_type: str, - is_repository: bool, - ) -> list[dict[str, Any]]: - domain = site_url - headers = {"PRIVATE-TOKEN": access_token} - results = [] - - try: - # URL encode the repository path - encoded_repository = urllib.parse.quote(repository, safe="") - commits_url = f"{domain}/api/v4/projects/{encoded_repository}/repository/commits" - - # Fetch commits for the repository - params = {"since": start_time, "until": end_time} - if branch: - params["ref_name"] = branch - if employee: - params["author"] = employee - - commits_response = requests.get(commits_url, headers=headers, params=params) - commits_response.raise_for_status() - commits = commits_response.json() - - for commit in commits: - commit_sha = commit["id"] - author_name = commit["author_name"] - - diff_url = f"{domain}/api/v4/projects/{encoded_repository}/repository/commits/{commit_sha}/diff" - - diff_response = requests.get(diff_url, headers=headers) - diff_response.raise_for_status() - diffs = diff_response.json() - - for diff in diffs: - # Calculate code lines of changes - added_lines = diff["diff"].count("\n+") - removed_lines = diff["diff"].count("\n-") - total_changes = added_lines + removed_lines - - if change_type == "new": - if added_lines > 1: - final_code = "".join( - [ - line[1:] - for line in diff["diff"].split("\n") - if line.startswith("+") and not line.startswith("+++") - ] - ) - results.append( - { - "diff_url": diff_url, - "commit_sha": commit_sha, - "author_name": author_name, - "diff": final_code, - } - ) - else: - if total_changes > 1: - final_code = "".join( - [ - line[1:] - for line in diff["diff"].split("\n") - if (line.startswith("+") or line.startswith("-")) - and not line.startswith("+++") - and not line.startswith("---") - ] - ) - final_code_escaped = json.dumps(final_code)[1:-1] # Escape the final code - results.append( - { - "diff_url": diff_url, - "commit_sha": commit_sha, - "author_name": author_name, - "diff": final_code_escaped, - } - ) - except requests.RequestException as e: - print(f"Error fetching data from GitLab: {e}") - - return results diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.yaml deleted file mode 100644 index 2ff5fb570ecc42..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_commits.yaml +++ /dev/null @@ -1,88 +0,0 @@ -identity: - name: gitlab_commits - author: Leo.Wang - label: - en_US: GitLab Commits - zh_Hans: GitLab 提交内容查询 -description: - human: - en_US: A tool for query GitLab commits, Input should be a exists username or project. - zh_Hans: 一个用于查询 GitLab 代码提交内容的工具，输入的内容应该是一个已存在的用户名或者项目名。 - llm: A tool for query GitLab commits, Input should be a exists username or project. -parameters: - - name: username - type: string - required: false - label: - en_US: username - zh_Hans: 员工用户名 - human_description: - en_US: username - zh_Hans: 员工用户名 - llm_description: User name for GitLab - form: llm - - name: repository - type: string - required: true - label: - en_US: repository - zh_Hans: 仓库路径 - human_description: - en_US: repository - zh_Hans: 仓库路径，以namespace/project_name的形式。 - llm_description: Repository path for GitLab, like namespace/project_name. - form: llm - - name: branch - type: string - required: false - label: - en_US: branch - zh_Hans: 分支名 - human_description: - en_US: branch - zh_Hans: 分支名 - llm_description: branch for GitLab - form: llm - - name: start_time - type: string - required: false - label: - en_US: start_time - zh_Hans: 开始时间 - human_description: - en_US: start_time - zh_Hans: 开始时间 - llm_description: Start time for GitLab - form: llm - - name: end_time - type: string - required: false - label: - en_US: end_time - zh_Hans: 结束时间 - human_description: - en_US: end_time - zh_Hans: 结束时间 - llm_description: End time for GitLab - form: llm - - name: change_type - type: select - required: false - options: - - value: all - label: - en_US: all - zh_Hans: 所有 - - value: new - label: - en_US: new - zh_Hans: 新增 - default: all - label: - en_US: change_type - zh_Hans: 变更类型 - human_description: - en_US: change_type - zh_Hans: 变更类型 - llm_description: Content change type for GitLab - form: llm diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py deleted file mode 100644 index 0ac9e2777dfe2c..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.py +++ /dev/null @@ -1,103 +0,0 @@ -import urllib.parse -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GitlabFilesTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - repository = tool_parameters.get("repository", "") - project = tool_parameters.get("project", "") - branch = tool_parameters.get("branch", "") - path = tool_parameters.get("path", "") - file_path = tool_parameters.get("file_path", "") - - if not repository and not project: - return self.create_text_message("Either repository or project is required") - if not branch: - return self.create_text_message("Branch is required") - if not path and not file_path: - return self.create_text_message("Either path or file_path is required") - - access_token = self.runtime.credentials.get("access_tokens") - headers = {"PRIVATE-TOKEN": access_token} - site_url = self.runtime.credentials.get("site_url") - - if "access_tokens" not in self.runtime.credentials or not self.runtime.credentials.get("access_tokens"): - return self.create_text_message("Gitlab API Access Tokens is required.") - if "site_url" not in self.runtime.credentials or not self.runtime.credentials.get("site_url"): - site_url = "https://gitlab.com" - - if repository: - # URL encode the repository path - identifier = urllib.parse.quote(repository, safe="") - else: - identifier = self.get_project_id(site_url, access_token, project) - if not identifier: - raise Exception(f"Project '{project}' not found.)") - - # Get file content - if path: - results = self.fetch_files(site_url, headers, identifier, branch, path) - return [self.create_json_message(item) for item in results] - else: - result = self.fetch_file(site_url, headers, identifier, branch, file_path) - return [self.create_json_message(result)] - - @staticmethod - def fetch_file( - site_url: str, - headers: dict[str, str], - identifier: str, - branch: str, - path: str, - ) -> dict[str, Any]: - encoded_file_path = urllib.parse.quote(path, safe="") - file_url = f"{site_url}/api/v4/projects/{identifier}/repository/files/{encoded_file_path}/raw?ref={branch}" - - file_response = requests.get(file_url, headers=headers) - file_response.raise_for_status() - file_content = file_response.text - return {"path": path, "branch": branch, "content": file_content} - - def fetch_files( - self, site_url: str, headers: dict[str, str], identifier: str, branch: str, path: str - ) -> list[dict[str, Any]]: - results = [] - - try: - tree_url = f"{site_url}/api/v4/projects/{identifier}/repository/tree?path={path}&ref={branch}" - response = requests.get(tree_url, headers=headers) - response.raise_for_status() - items = response.json() - - for item in items: - item_path = item["path"] - if item["type"] == "tree": # It's a directory - results.extend(self.fetch_files(site_url, headers, identifier, branch, item_path)) - else: # It's a file - result = self.fetch_file(site_url, headers, identifier, branch, item_path) - results.append(result) - except requests.RequestException as e: - print(f"Error fetching data from GitLab: {e}") - - return results - - def get_project_id(self, site_url: str, access_token: str, project_name: str) -> Union[str, None]: - headers = {"PRIVATE-TOKEN": access_token} - try: - url = f"{site_url}/api/v4/projects?search={project_name}" - response = requests.get(url, headers=headers) - response.raise_for_status() - projects = response.json() - for project in projects: - if project["name"] == project_name: - return project["id"] - except requests.RequestException as e: - print(f"Error fetching project ID from GitLab: {e}") - return None diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml deleted file mode 100644 index 3371f62fa8d98c..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_files.yaml +++ /dev/null @@ -1,65 +0,0 @@ -identity: - name: gitlab_files - author: Leo.Wang - label: - en_US: GitLab Files - zh_Hans: GitLab 文件获取 -description: - human: - en_US: A tool for query GitLab files, Input should be branch and a exists file or directory path. - zh_Hans: 一个用于查询 GitLab 文件的工具，输入的内容应该是分支和一个已存在文件或者文件夹路径。 - llm: A tool for query GitLab files, Input should be a exists file or directory path. -parameters: - - name: repository - type: string - required: false - label: - en_US: repository - zh_Hans: 仓库路径 - human_description: - en_US: repository - zh_Hans: 仓库路径，以namespace/project_name的形式。 - llm_description: Repository path for GitLab, like namespace/project_name. - form: llm - - name: project - type: string - required: false - label: - en_US: project - zh_Hans: 项目 - human_description: - en_US: project - zh_Hans: 项目(和仓库路径二选一,都填写以仓库路径优先) - llm_description: Project for GitLab - form: llm - - name: branch - type: string - required: true - label: - en_US: branch - zh_Hans: 分支 - human_description: - en_US: branch - zh_Hans: 分支 - llm_description: Branch for GitLab - form: llm - - name: path - type: string - label: - en_US: path - zh_Hans: 文件夹 - human_description: - en_US: path - zh_Hans: 文件夹 - llm_description: Dir path for GitLab - form: llm - - name: file_path - type: string - label: - en_US: file_path - zh_Hans: 文件路径 - human_description: - en_US: file_path - zh_Hans: 文件路径(和文件夹二选一,都填写以文件夹优先) - llm_description: File path for GitLab - form: llm diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.py deleted file mode 100644 index ef99fa82e9d9d6..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.py +++ /dev/null @@ -1,78 +0,0 @@ -import urllib.parse -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GitlabMergeRequestsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - repository = tool_parameters.get("repository", "") - branch = tool_parameters.get("branch", "") - start_time = tool_parameters.get("start_time", "") - end_time = tool_parameters.get("end_time", "") - state = tool_parameters.get("state", "opened") # Default to "opened" - - if not repository: - return self.create_text_message("Repository is required") - - access_token = self.runtime.credentials.get("access_tokens") - site_url = self.runtime.credentials.get("site_url") - - if not access_token: - return self.create_text_message("Gitlab API Access Tokens is required.") - if not site_url: - site_url = "https://gitlab.com" - - # Get merge requests - result = self.get_merge_requests(site_url, access_token, repository, branch, start_time, end_time, state) - - return [self.create_json_message(item) for item in result] - - def get_merge_requests( - self, site_url: str, access_token: str, repository: str, branch: str, start_time: str, end_time: str, state: str - ) -> list[dict[str, Any]]: - domain = site_url - headers = {"PRIVATE-TOKEN": access_token} - results = [] - - try: - # URL encode the repository path - encoded_repository = urllib.parse.quote(repository, safe="") - merge_requests_url = f"{domain}/api/v4/projects/{encoded_repository}/merge_requests" - params = {"state": state} - - # Add time filters if provided - if start_time: - params["created_after"] = start_time - if end_time: - params["created_before"] = end_time - - response = requests.get(merge_requests_url, headers=headers, params=params) - response.raise_for_status() - merge_requests = response.json() - - for mr in merge_requests: - # Filter by target branch - if branch and mr["target_branch"] != branch: - continue - - results.append( - { - "id": mr["id"], - "title": mr["title"], - "author": mr["author"]["name"], - "web_url": mr["web_url"], - "target_branch": mr["target_branch"], - "created_at": mr["created_at"], - "state": mr["state"], - } - ) - except requests.RequestException as e: - print(f"Error fetching merge requests from GitLab: {e}") - - return results diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml deleted file mode 100644 index 81adb3db7d932d..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml +++ /dev/null @@ -1,77 +0,0 @@ -identity: - name: gitlab_mergerequests - author: Leo.Wang - label: - en_US: GitLab Merge Requests - zh_Hans: GitLab 合并请求查询 -description: - human: - en_US: A tool for query GitLab merge requests, Input should be a exists repository or branch. - zh_Hans: 一个用于查询 GitLab 代码合并请求的工具，输入的内容应该是一个已存在的仓库名或者分支。 - llm: A tool for query GitLab merge requests, Input should be a exists repository or branch. -parameters: - - name: repository - type: string - required: false - label: - en_US: repository - zh_Hans: 仓库路径 - human_description: - en_US: repository - zh_Hans: 仓库路径，以namespace/project_name的形式。 - llm_description: Repository path for GitLab, like namespace/project_name. - form: llm - - name: branch - type: string - required: false - label: - en_US: branch - zh_Hans: 分支名 - human_description: - en_US: branch - zh_Hans: 分支名 - llm_description: branch for GitLab - form: llm - - name: start_time - type: string - required: false - label: - en_US: start_time - zh_Hans: 开始时间 - human_description: - en_US: start_time - zh_Hans: 开始时间 - llm_description: Start time for GitLab - form: llm - - name: end_time - type: string - required: false - label: - en_US: end_time - zh_Hans: 结束时间 - human_description: - en_US: end_time - zh_Hans: 结束时间 - llm_description: End time for GitLab - form: llm - - name: state - type: select - required: false - options: - - value: opened - label: - en_US: opened - zh_Hans: 打开 - - value: closed - label: - en_US: closed - zh_Hans: 关闭 - default: opened - label: - en_US: state - zh_Hans: 变更状态 - human_description: - en_US: state - zh_Hans: 变更状态 - llm_description: Merge request state type for GitLab - form: llm diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.py b/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.py deleted file mode 100644 index ea0c028b4f3d07..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.py +++ /dev/null @@ -1,81 +0,0 @@ -import urllib.parse -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GitlabProjectsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - project_name = tool_parameters.get("project_name", "") - page = tool_parameters.get("page", 1) - page_size = tool_parameters.get("page_size", 20) - - access_token = self.runtime.credentials.get("access_tokens") - site_url = self.runtime.credentials.get("site_url") - - if not access_token: - return self.create_text_message("Gitlab API Access Tokens is required.") - if not site_url: - site_url = "https://gitlab.com" - - # Get project content - result = self.fetch_projects(site_url, access_token, project_name, page, page_size) - - return [self.create_json_message(item) for item in result] - - def fetch_projects( - self, - site_url: str, - access_token: str, - project_name: str, - page: str, - page_size: str, - ) -> list[dict[str, Any]]: - domain = site_url - headers = {"PRIVATE-TOKEN": access_token} - results = [] - - try: - if project_name: - # URL encode the project name for the search query - encoded_project_name = urllib.parse.quote(project_name, safe="") - projects_url = ( - f"{domain}/api/v4/projects?search={encoded_project_name}&page={page}&per_page={page_size}" - ) - else: - projects_url = f"{domain}/api/v4/projects?page={page}&per_page={page_size}" - - response = requests.get(projects_url, headers=headers) - response.raise_for_status() - projects = response.json() - - for project in projects: - # Filter projects by exact name match if necessary - if project_name and project["name"].lower() == project_name.lower(): - results.append( - { - "id": project["id"], - "name": project["name"], - "description": project.get("description", ""), - "web_url": project["web_url"], - } - ) - elif not project_name: - # If no specific project name is provided, add all projects - results.append( - { - "id": project["id"], - "name": project["name"], - "description": project.get("description", ""), - "web_url": project["web_url"], - } - ) - except requests.RequestException as e: - print(f"Error fetching data from GitLab: {e}") - - return results diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.yaml deleted file mode 100644 index 5fe098e1f7a647..00000000000000 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_projects.yaml +++ /dev/null @@ -1,45 +0,0 @@ -identity: - name: gitlab_projects - author: Leo.Wang - label: - en_US: GitLab Projects - zh_Hans: GitLab 项目列表查询 -description: - human: - en_US: A tool for query GitLab projects, Input should be a project name. - zh_Hans: 一个用于查询 GitLab 项目列表的工具，输入的内容应该是一个项目名称。 - llm: A tool for query GitLab projects, Input should be a project name. -parameters: - - name: project_name - type: string - required: false - label: - en_US: project_name - zh_Hans: 项目名称 - human_description: - en_US: project_name - zh_Hans: 项目名称 - llm_description: Project name for GitLab - form: llm - - name: page - type: string - required: false - label: - en_US: page - zh_Hans: 页码 - human_description: - en_US: page - zh_Hans: 页码 - llm_description: Page index for GitLab - form: llm - - name: page_size - type: string - required: false - label: - en_US: page_size - zh_Hans: 每页数量 - human_description: - en_US: page_size - zh_Hans: 每页数量 - llm_description: Page size for GitLab - form: llm diff --git a/api/core/tools/provider/builtin/google/_assets/icon.svg b/api/core/tools/provider/builtin/google/_assets/icon.svg deleted file mode 100644 index bebbf52d3a23a4..00000000000000 --- a/api/core/tools/provider/builtin/google/_assets/icon.svg +++ /dev/null @@ -1,6 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/google/google.py b/api/core/tools/provider/builtin/google/google.py deleted file mode 100644 index 6b5395f9d3e5b8..00000000000000 --- a/api/core/tools/provider/builtin/google/google.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.google.tools.google_search import GoogleSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GoogleProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - GoogleSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={"query": "test", "result_type": "link"}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/google/google.yaml b/api/core/tools/provider/builtin/google/google.yaml deleted file mode 100644 index afb4d5b2145ba6..00000000000000 --- a/api/core/tools/provider/builtin/google/google.yaml +++ /dev/null @@ -1,31 +0,0 @@ -identity: - author: Dify - name: google - label: - en_US: Google - zh_Hans: Google - pt_BR: Google - description: - en_US: Google - zh_Hans: GoogleSearch - pt_BR: Google - icon: icon.svg - tags: - - search -credentials_for_provider: - serpapi_api_key: - type: secret-input - required: true - label: - en_US: SerpApi API key - zh_Hans: SerpApi API key - pt_BR: SerpApi API key - placeholder: - en_US: Please input your SerpApi API key - zh_Hans: 请输入你的 SerpApi API key - pt_BR: Please input your SerpApi API key - help: - en_US: Get your SerpApi API key from SerpApi - zh_Hans: 从 SerpApi 获取您的 SerpApi API key - pt_BR: Get your SerpApi API key from SerpApi - url: https://serpapi.com/manage-api-key diff --git a/api/core/tools/provider/builtin/google/tools/google_search.py b/api/core/tools/provider/builtin/google/tools/google_search.py deleted file mode 100644 index a9f65925d86f94..00000000000000 --- a/api/core/tools/provider/builtin/google/tools/google_search.py +++ /dev/null @@ -1,40 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SERP_API_URL = "https://serpapi.com/search" - - -class GoogleSearchTool(BuiltinTool): - def _parse_response(self, response: dict) -> dict: - result = {} - if "knowledge_graph" in response: - result["title"] = response["knowledge_graph"].get("title", "") - result["description"] = response["knowledge_graph"].get("description", "") - if "organic_results" in response: - result["organic_results"] = [ - {"title": item.get("title", ""), "link": item.get("link", ""), "snippet": item.get("snippet", "")} - for item in response["organic_results"] - ] - return result - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - params = { - "api_key": self.runtime.credentials["serpapi_api_key"], - "q": tool_parameters["query"], - "engine": "google", - "google_domain": "google.com", - "gl": "us", - "hl": "en", - } - response = requests.get(url=SERP_API_URL, params=params) - response.raise_for_status() - valuable_res = self._parse_response(response.json()) - return self.create_json_message(valuable_res) diff --git a/api/core/tools/provider/builtin/google/tools/google_search.yaml b/api/core/tools/provider/builtin/google/tools/google_search.yaml deleted file mode 100644 index 72db3839eb022a..00000000000000 --- a/api/core/tools/provider/builtin/google/tools/google_search.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: google_search - author: Dify - label: - en_US: GoogleSearch - zh_Hans: 谷歌搜索 - pt_BR: GoogleSearch -description: - human: - en_US: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query. - zh_Hans: 一个用于执行 Google SERP 搜索并提取片段和网页的工具。输入应该是一个搜索查询。 - pt_BR: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query. - llm: A tool for performing a Google SERP search and extracting snippets and webpages.Input should be a search query. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - pt_BR: Query string - human_description: - en_US: used for searching - zh_Hans: 用于搜索网页内容 - pt_BR: used for searching - llm_description: key words for searching - form: llm diff --git a/api/core/tools/provider/builtin/google_translate/_assets/icon.svg b/api/core/tools/provider/builtin/google_translate/_assets/icon.svg deleted file mode 100644 index de69a9c5e58316..00000000000000 --- a/api/core/tools/provider/builtin/google_translate/_assets/icon.svg +++ /dev/null @@ -1,18 +0,0 @@ - - - - - - - - - - - - - - - - - - diff --git a/api/core/tools/provider/builtin/google_translate/google_translate.py b/api/core/tools/provider/builtin/google_translate/google_translate.py deleted file mode 100644 index ea53aa4eeb906f..00000000000000 --- a/api/core/tools/provider/builtin/google_translate/google_translate.py +++ /dev/null @@ -1,13 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.google_translate.tools.translate import GoogleTranslate -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class JsonExtractProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - GoogleTranslate().invoke(user_id="", tool_parameters={"content": "这是一段测试文本", "dest": "en"}) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/google_translate/google_translate.yaml b/api/core/tools/provider/builtin/google_translate/google_translate.yaml deleted file mode 100644 index 8bc821a3d5e9fa..00000000000000 --- a/api/core/tools/provider/builtin/google_translate/google_translate.yaml +++ /dev/null @@ -1,12 +0,0 @@ -identity: - author: Ron Liu - name: google_translate - label: - en_US: Google Translate - zh_Hans: 谷歌翻译 - description: - en_US: Translate text using Google - zh_Hans: 使用 Google 进行翻译 - icon: icon.svg - tags: - - utilities diff --git a/api/core/tools/provider/builtin/google_translate/tools/translate.py b/api/core/tools/provider/builtin/google_translate/tools/translate.py deleted file mode 100644 index ea3f2077d5d485..00000000000000 --- a/api/core/tools/provider/builtin/google_translate/tools/translate.py +++ /dev/null @@ -1,47 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GoogleTranslate(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - dest = tool_parameters.get("dest", "") - if not dest: - return self.create_text_message("Invalid parameter destination language") - - try: - result = self._translate(content, dest) - return self.create_text_message(str(result)) - except Exception: - return self.create_text_message("Translation service error, please check the network") - - def _translate(self, content: str, dest: str) -> str: - try: - url = "https://translate.googleapis.com/translate_a/single" - params = {"client": "gtx", "sl": "auto", "tl": dest, "dt": "t", "q": content} - - headers = { - "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)" - " Chrome/91.0.4472.124 Safari/537.36" - } - - response_json = requests.get(url, params=params, headers=headers).json() - result = response_json[0] - translated_text = "".join([item[0] for item in result if item[0]]) - return str(translated_text) - except Exception as e: - return str(e) diff --git a/api/core/tools/provider/builtin/google_translate/tools/translate.yaml b/api/core/tools/provider/builtin/google_translate/tools/translate.yaml deleted file mode 100644 index a4189cd7439ad7..00000000000000 --- a/api/core/tools/provider/builtin/google_translate/tools/translate.yaml +++ /dev/null @@ -1,215 +0,0 @@ -identity: - name: translate - author: Ron Liu - label: - en_US: Translate - zh_Hans: 翻译 -description: - human: - en_US: A tool for Google Translate - zh_Hans: Google 翻译 - llm: A tool for Google Translate -parameters: - - name: content - type: string - required: true - label: - en_US: Text content - zh_Hans: 文本内容 - human_description: - en_US: Text content - zh_Hans: 需要翻译的文本内容 - llm_description: Text content - form: llm - - name: dest - type: select - required: true - label: - en_US: destination language - zh_Hans: 目标语言 - human_description: - en_US: The destination language you want to translate. - zh_Hans: 你想翻译的目标语言 - default: en - form: form - options: - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: zh-cn - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - - value: zh-tw - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: iw - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: my - label: - en_US: Malay - zh_Hans: 马来语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: "no" - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 diff --git a/api/core/tools/provider/builtin/hap/_assets/icon.svg b/api/core/tools/provider/builtin/hap/_assets/icon.svg deleted file mode 100644 index 0fa6f0886fdfdb..00000000000000 --- a/api/core/tools/provider/builtin/hap/_assets/icon.svg +++ /dev/null @@ -1,16 +0,0 @@ - - - - - - - - - - - - - - - - diff --git a/api/core/tools/provider/builtin/hap/hap.py b/api/core/tools/provider/builtin/hap/hap.py deleted file mode 100644 index cbdf9504659568..00000000000000 --- a/api/core/tools/provider/builtin/hap/hap.py +++ /dev/null @@ -1,8 +0,0 @@ -from typing import Any - -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class HapProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - pass diff --git a/api/core/tools/provider/builtin/hap/hap.yaml b/api/core/tools/provider/builtin/hap/hap.yaml deleted file mode 100644 index 25b473cf9dd211..00000000000000 --- a/api/core/tools/provider/builtin/hap/hap.yaml +++ /dev/null @@ -1,15 +0,0 @@ -identity: - author: Mingdao - name: hap - label: - en_US: HAP - zh_Hans: HAP - pt_BR: HAP - description: - en_US: "Hyper application platform that is particularly friendly to AI" - zh_Hans: "对 AI 特别友好的超级应用平台" - pt_BR: "Plataforma de aplicação hiper que é particularmente amigável à IA" - icon: icon.svg - tags: - - productivity -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.py b/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.py deleted file mode 100644 index 597adc91db9768..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.py +++ /dev/null @@ -1,52 +0,0 @@ -import json -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class AddWorksheetRecordTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - appkey = tool_parameters.get("appkey", "") - if not appkey: - return self.create_text_message("Invalid parameter App Key") - sign = tool_parameters.get("sign", "") - if not sign: - return self.create_text_message("Invalid parameter Sign") - worksheet_id = tool_parameters.get("worksheet_id", "") - if not worksheet_id: - return self.create_text_message("Invalid parameter Worksheet ID") - record_data = tool_parameters.get("record_data", "") - if not record_data: - return self.create_text_message("Invalid parameter Record Row Data") - - host = tool_parameters.get("host", "") - if not host: - host = "https://api.mingdao.com" - elif not host.startswith(("http://", "https://")): - return self.create_text_message("Invalid parameter Host Address") - else: - host = f"{host.removesuffix('/')}/api" - - url = f"{host}/v2/open/worksheet/addRow" - headers = {"Content-Type": "application/json"} - payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id} - - try: - payload["controls"] = json.loads(record_data) - res = httpx.post(url, headers=headers, json=payload, timeout=60) - res.raise_for_status() - res_json = res.json() - if res_json.get("error_code") != 1: - return self.create_text_message(f"Failed to add the new record. {res_json['error_msg']}") - return self.create_text_message(f"New record added successfully. The record ID is {res_json['data']}.") - except httpx.RequestError as e: - return self.create_text_message(f"Failed to add the new record, request error: {e}") - except json.JSONDecodeError as e: - return self.create_text_message(f"Failed to parse JSON response: {e}") - except Exception as e: - return self.create_text_message(f"Failed to add the new record, unexpected error: {e}") diff --git a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.yaml b/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.yaml deleted file mode 100644 index add7742cd74db1..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/add_worksheet_record.yaml +++ /dev/null @@ -1,78 +0,0 @@ -identity: - name: add_worksheet_record - author: Ryan Tian - label: - en_US: Add Worksheet Record - zh_Hans: 新增一条工作表记录 -description: - human: - en_US: Adds a new record to the specified worksheet - zh_Hans: 向指定的工作表新增一条记录数据 - llm: A tool to append a new data entry into a specified worksheet. -parameters: - - name: appkey - type: secret-input - required: true - label: - en_US: App Key - zh_Hans: App Key - human_description: - en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation. - zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到 - llm_description: the AppKey parameter for the HAP application - form: form - - - name: sign - type: secret-input - required: true - label: - en_US: Sign - zh_Hans: Sign - human_description: - en_US: The Sign parameter for the HAP application - zh_Hans: HAP 应用的 Sign 参数 - llm_description: the Sign parameter for the HAP application - form: form - - - name: worksheet_id - type: string - required: true - label: - en_US: Worksheet ID - zh_Hans: 工作表 ID - human_description: - en_US: The ID of the specified worksheet - zh_Hans: 要获取字段信息的工作表 ID - llm_description: The ID of the specified worksheet which to get the fields information. - form: llm - - - name: record_data - type: string - required: true - label: - en_US: Record Row Data - zh_Hans: 记录数据 - human_description: - en_US: The fields with data of the specified record - zh_Hans: 要新增的记录数据，JSON 对象数组格式。数组元素属性：controlId-字段ID，value-字段值 - llm_description: | - The fields with data of the specified record which to be created. It is in the format of an array of JSON objects, and the structure is defined as follows: - ``` - type RowData = { - controlId: string; // Field ID to be updated - value: string; // Field value to be updated - }[]; - ``` - form: llm - - - name: host - type: string - required: false - label: - en_US: Host Address - zh_Hans: 服务器地址 - human_description: - en_US: The address for the privately deployed HAP server. - zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写 - llm_description: the address for the privately deployed HAP server. - form: form diff --git a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.py b/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.py deleted file mode 100644 index 5d42af4c490598..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.py +++ /dev/null @@ -1,48 +0,0 @@ -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DeleteWorksheetRecordTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - appkey = tool_parameters.get("appkey", "") - if not appkey: - return self.create_text_message("Invalid parameter App Key") - sign = tool_parameters.get("sign", "") - if not sign: - return self.create_text_message("Invalid parameter Sign") - worksheet_id = tool_parameters.get("worksheet_id", "") - if not worksheet_id: - return self.create_text_message("Invalid parameter Worksheet ID") - row_id = tool_parameters.get("row_id", "") - if not row_id: - return self.create_text_message("Invalid parameter Record Row ID") - - host = tool_parameters.get("host", "") - if not host: - host = "https://api.mingdao.com" - elif not host.startswith(("http://", "https://")): - return self.create_text_message("Invalid parameter Host Address") - else: - host = f"{host.removesuffix('/')}/api" - - url = f"{host}/v2/open/worksheet/deleteRow" - headers = {"Content-Type": "application/json"} - payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id, "rowId": row_id} - - try: - res = httpx.post(url, headers=headers, json=payload, timeout=30) - res.raise_for_status() - res_json = res.json() - if res_json.get("error_code") != 1: - return self.create_text_message(f"Failed to delete the record. {res_json['error_msg']}") - return self.create_text_message("Successfully deleted the record.") - except httpx.RequestError as e: - return self.create_text_message(f"Failed to delete the record, request error: {e}") - except Exception as e: - return self.create_text_message(f"Failed to delete the record, unexpected error: {e}") diff --git a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.yaml b/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.yaml deleted file mode 100644 index 7c0c2a6439003f..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/delete_worksheet_record.yaml +++ /dev/null @@ -1,71 +0,0 @@ -identity: - name: delete_worksheet_record - author: Ryan Tian - label: - en_US: Delete Worksheet Record - zh_Hans: 删除指定的一条工作表记录 -description: - human: - en_US: Deletes a single record from a worksheet based on the specified record row ID - zh_Hans: 根据指定的记录ID删除一条工作表记录数据 - llm: A tool to remove a particular record from a worksheet by specifying its unique record identifier. -parameters: - - name: appkey - type: secret-input - required: true - label: - en_US: App Key - zh_Hans: App Key - human_description: - en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation. - zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到 - llm_description: the AppKey parameter for the HAP application - form: form - - - name: sign - type: secret-input - required: true - label: - en_US: Sign - zh_Hans: Sign - human_description: - en_US: The Sign parameter for the HAP application - zh_Hans: HAP 应用的 Sign 参数 - llm_description: the Sign parameter for the HAP application - form: form - - - name: worksheet_id - type: string - required: true - label: - en_US: Worksheet ID - zh_Hans: 工作表 ID - human_description: - en_US: The ID of the specified worksheet - zh_Hans: 要获取字段信息的工作表 ID - llm_description: The ID of the specified worksheet which to get the fields information. - form: llm - - - name: row_id - type: string - required: true - label: - en_US: Record Row ID - zh_Hans: 记录 ID - human_description: - en_US: The row ID of the specified record - zh_Hans: 要删除的记录 ID - llm_description: The row ID of the specified record which to be deleted. - form: llm - - - name: host - type: string - required: false - label: - en_US: Host Address - zh_Hans: 服务器地址 - human_description: - en_US: The address for the privately deployed HAP server. - zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写 - llm_description: the address for the privately deployed HAP server. - form: form diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.py b/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.py deleted file mode 100644 index 6887b8b4e99df6..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.py +++ /dev/null @@ -1,152 +0,0 @@ -import json -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GetWorksheetFieldsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - appkey = tool_parameters.get("appkey", "") - if not appkey: - return self.create_text_message("Invalid parameter App Key") - sign = tool_parameters.get("sign", "") - if not sign: - return self.create_text_message("Invalid parameter Sign") - worksheet_id = tool_parameters.get("worksheet_id", "") - if not worksheet_id: - return self.create_text_message("Invalid parameter Worksheet ID") - - host = tool_parameters.get("host", "") - if not host: - host = "https://api.mingdao.com" - elif not host.startswith(("http://", "https://")): - return self.create_text_message("Invalid parameter Host Address") - else: - host = f"{host.removesuffix('/')}/api" - - url = f"{host}/v2/open/worksheet/getWorksheetInfo" - headers = {"Content-Type": "application/json"} - payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id} - - try: - res = httpx.post(url, headers=headers, json=payload, timeout=60) - res.raise_for_status() - res_json = res.json() - if res_json.get("error_code") != 1: - return self.create_text_message(f"Failed to get the worksheet information. {res_json['error_msg']}") - - fields_json, fields_table = self.get_controls(res_json["data"]["controls"]) - result_type = tool_parameters.get("result_type", "table") - return self.create_text_message( - text=json.dumps(fields_json, ensure_ascii=False) if result_type == "json" else fields_table - ) - except httpx.RequestError as e: - return self.create_text_message(f"Failed to get the worksheet information, request error: {e}") - except json.JSONDecodeError as e: - return self.create_text_message(f"Failed to parse JSON response: {e}") - except Exception as e: - return self.create_text_message(f"Failed to get the worksheet information, unexpected error: {e}") - - def get_field_type_by_id(self, field_type_id: int) -> str: - field_type_map = { - 2: "Text", - 3: "Text-Phone", - 4: "Text-Phone", - 5: "Text-Email", - 6: "Number", - 7: "Text", - 8: "Number", - 9: "Option-Single Choice", - 10: "Option-Multiple Choices", - 11: "Option-Single Choice", - 15: "Date", - 16: "Date", - 24: "Option-Region", - 25: "Text", - 26: "Option-Member", - 27: "Option-Department", - 28: "Number", - 29: "Option-Linked Record", - 30: "Unknown Type", - 31: "Number", - 32: "Text", - 33: "Text", - 35: "Option-Linked Record", - 36: "Number-Yes1/No0", - 37: "Number", - 38: "Date", - 40: "Location", - 41: "Text", - 46: "Time", - 48: "Option-Organizational Role", - 50: "Text", - 51: "Query Record", - } - return field_type_map.get(field_type_id, "") - - def get_controls(self, controls: list) -> dict: - fields = [] - fields_list = ["|fieldId|fieldName|fieldType|fieldTypeId|description|options|", "|" + "---|" * 6] - for control in controls: - if control["type"] in self._get_ignore_types(): - continue - field_type_id = control["type"] - field_type = self.get_field_type_by_id(control["type"]) - if field_type_id == 30: - source_type = control["sourceControl"]["type"] - if source_type in self._get_ignore_types(): - continue - else: - field_type_id = source_type - field_type = self.get_field_type_by_id(source_type) - field = { - "id": control["controlId"], - "name": control["controlName"], - "type": field_type, - "typeId": field_type_id, - "description": control["remark"].replace("\n", " ").replace("\t", " "), - "options": self._extract_options(control), - } - fields.append(field) - fields_list.append( - f"|{field['id']}|{field['name']}|{field['type']}|{field['typeId']}|{field['description']}" - f"|{field['options'] or ''}|" - ) - - fields.append( - { - "id": "ctime", - "name": "Created Time", - "type": self.get_field_type_by_id(16), - "typeId": 16, - "description": "", - "options": [], - } - ) - fields_list.append("|ctime|Created Time|Date|16|||") - return fields, "\n".join(fields_list) - - def _extract_options(self, control: dict) -> list: - options = [] - if control["type"] in {9, 10, 11}: - options.extend([{"key": opt["key"], "value": opt["value"]} for opt in control.get("options", [])]) - elif control["type"] in {28, 36}: - itemnames = control["advancedSetting"].get("itemnames") - if itemnames and itemnames.startswith("[{"): - try: - options = json.loads(itemnames) - except json.JSONDecodeError: - pass - elif control["type"] == 30: - source_type = control["sourceControl"]["type"] - if source_type not in self._get_ignore_types(): - options.extend([{"key": opt["key"], "value": opt["value"]} for opt in control.get("options", [])]) - return options - - def _get_ignore_types(self): - return {14, 21, 22, 34, 42, 43, 45, 47, 49, 10010} diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.yaml b/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.yaml deleted file mode 100644 index f0d4973e8549f7..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_fields.yaml +++ /dev/null @@ -1,80 +0,0 @@ -identity: - name: get_worksheet_fields - author: Ryan Tian - label: - en_US: Get Worksheet Fields - zh_Hans: 获取工作表字段结构 -description: - human: - en_US: Get fields information of the worksheet - zh_Hans: 获取指定工作表的所有字段结构信息 - llm: A tool to get fields information of the specific worksheet. -parameters: - - name: appkey - type: secret-input - required: true - label: - en_US: App Key - zh_Hans: App Key - human_description: - en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation. - zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到 - llm_description: the AppKey parameter for the HAP application - form: form - - - name: sign - type: secret-input - required: true - label: - en_US: Sign - zh_Hans: Sign - human_description: - en_US: The Sign parameter for the HAP application - zh_Hans: HAP 应用的 Sign 参数 - llm_description: the Sign parameter for the HAP application - form: form - - - name: worksheet_id - type: string - required: true - label: - en_US: Worksheet ID - zh_Hans: 工作表 ID - human_description: - en_US: The ID of the specified worksheet - zh_Hans: 要获取字段信息的工作表 ID - llm_description: The ID of the specified worksheet which to get the fields information. - form: llm - - - name: host - type: string - required: false - label: - en_US: Host Address - zh_Hans: 服务器地址 - human_description: - en_US: The address for the privately deployed HAP server. - zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写 - llm_description: the address for the privately deployed HAP server. - form: form - - - name: result_type - type: select - required: true - options: - - value: table - label: - en_US: table text - zh_Hans: 表格文本 - - value: json - label: - en_US: json text - zh_Hans: JSON文本 - default: table - label: - en_US: Result type - zh_Hans: 结果类型 - human_description: - en_US: used for selecting the result type, table styled text or json text - zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本 - form: form diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.py b/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.py deleted file mode 100644 index 26d7116869b6d9..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.py +++ /dev/null @@ -1,137 +0,0 @@ -import json -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GetWorksheetPivotDataTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - appkey = tool_parameters.get("appkey", "") - if not appkey: - return self.create_text_message("Invalid parameter App Key") - sign = tool_parameters.get("sign", "") - if not sign: - return self.create_text_message("Invalid parameter Sign") - worksheet_id = tool_parameters.get("worksheet_id", "") - if not worksheet_id: - return self.create_text_message("Invalid parameter Worksheet ID") - x_column_fields = tool_parameters.get("x_column_fields", "") - if not x_column_fields or not x_column_fields.startswith("["): - return self.create_text_message("Invalid parameter Column Fields") - y_row_fields = tool_parameters.get("y_row_fields", "") - if y_row_fields and not y_row_fields.strip().startswith("["): - return self.create_text_message("Invalid parameter Row Fields") - elif not y_row_fields: - y_row_fields = "[]" - value_fields = tool_parameters.get("value_fields", "") - if not value_fields or not value_fields.strip().startswith("["): - return self.create_text_message("Invalid parameter Value Fields") - - host = tool_parameters.get("host", "") - if not host: - host = "https://api.mingdao.com" - elif not host.startswith(("http://", "https://")): - return self.create_text_message("Invalid parameter Host Address") - else: - host = f"{host.removesuffix('/')}/api" - - url = f"{host}/report/getPivotData" - headers = {"Content-Type": "application/json"} - payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id, "options": {"showTotal": True}} - - try: - x_column_fields = json.loads(x_column_fields) - payload["columns"] = x_column_fields - y_row_fields = json.loads(y_row_fields) - if y_row_fields: - payload["rows"] = y_row_fields - value_fields = json.loads(value_fields) - payload["values"] = value_fields - sort_fields = tool_parameters.get("sort_fields", "") - if not sort_fields: - sort_fields = "[]" - sort_fields = json.loads(sort_fields) - if sort_fields: - payload["options"]["sort"] = sort_fields - res = httpx.post(url, headers=headers, json=payload, timeout=60) - res.raise_for_status() - res_json = res.json() - if res_json.get("status") != 1: - return self.create_text_message(f"Failed to get the worksheet pivot data. {res_json['msg']}") - - pivot_json = self.generate_pivot_json(res_json["data"]) - pivot_table = self.generate_pivot_table(res_json["data"]) - result_type = tool_parameters.get("result_type", "") - text = pivot_table if result_type == "table" else json.dumps(pivot_json, ensure_ascii=False) - return self.create_text_message(text) - except httpx.RequestError as e: - return self.create_text_message(f"Failed to get the worksheet pivot data, request error: {e}") - except json.JSONDecodeError as e: - return self.create_text_message(f"Failed to parse JSON response: {e}") - except Exception as e: - return self.create_text_message(f"Failed to get the worksheet pivot data, unexpected error: {e}") - - def generate_pivot_table(self, data: dict[str, Any]) -> str: - columns = data["metadata"]["columns"] - rows = data["metadata"]["rows"] - values = data["metadata"]["values"] - - rows_data = data["data"] - - header = ( - ([row["displayName"] for row in rows] if rows else []) - + [column["displayName"] for column in columns] - + [value["displayName"] for value in values] - ) - line = (["---"] * len(rows) if rows else []) + ["---"] * len(columns) + ["--:"] * len(values) - - table = [header, line] - for row in rows_data: - row_data = [self.replace_pipe(row["rows"][r["controlId"]]) for r in rows] if rows else [] - row_data.extend([self.replace_pipe(row["columns"][column["controlId"]]) for column in columns]) - row_data.extend([self.replace_pipe(str(row["values"][value["controlId"]])) for value in values]) - table.append(row_data) - - return "\n".join([("|" + "|".join(row) + "|") for row in table]) - - def replace_pipe(self, text: str) -> str: - return text.replace("|", "▏").replace("\n", " ") - - def generate_pivot_json(self, data: dict[str, Any]) -> dict: - fields = { - "x-axis": [ - {"fieldId": column["controlId"], "fieldName": column["displayName"]} - for column in data["metadata"]["columns"] - ], - "y-axis": [ - {"fieldId": row["controlId"], "fieldName": row["displayName"]} for row in data["metadata"]["rows"] - ] - if data["metadata"]["rows"] - else [], - "values": [ - {"fieldId": value["controlId"], "fieldName": value["displayName"]} - for value in data["metadata"]["values"] - ], - } - # fields = ([ - # {"fieldId": row["controlId"], "fieldName": row["displayName"]} - # for row in data["metadata"]["rows"] - # ] if data["metadata"]["rows"] else []) + [ - # {"fieldId": column["controlId"], "fieldName": column["displayName"]} - # for column in data["metadata"]["columns"] - # ] + [ - # {"fieldId": value["controlId"], "fieldName": value["displayName"]} - # for value in data["metadata"]["values"] - # ] - rows = [] - for row in data["data"]: - row_data = row["rows"] or {} - row_data.update(row["columns"]) - row_data.update(row["values"]) - rows.append(row_data) - return {"fields": fields, "rows": rows, "summary": data["metadata"]["totalRow"]} diff --git a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.yaml b/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.yaml deleted file mode 100644 index cf8c57b26208a9..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/get_worksheet_pivot_data.yaml +++ /dev/null @@ -1,248 +0,0 @@ -identity: - name: get_worksheet_pivot_data - author: Ryan Tian - label: - en_US: Get Worksheet Pivot Data - zh_Hans: 获取工作表统计透视数据 -description: - human: - en_US: Retrieve statistical pivot table data from a specified worksheet - zh_Hans: 从指定的工作表中检索统计透视表数据 - llm: A tool for extracting statistical pivot table data from a specific worksheet, providing summarized information for analysis and reporting purposes. -parameters: - - name: appkey - type: secret-input - required: true - label: - en_US: App Key - zh_Hans: App Key - human_description: - en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation. - zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到 - llm_description: the AppKey parameter for the HAP application - form: form - - - name: sign - type: secret-input - required: true - label: - en_US: Sign - zh_Hans: Sign - human_description: - en_US: The Sign parameter for the HAP application - zh_Hans: HAP 应用的 Sign 参数 - llm_description: the Sign parameter for the HAP application - form: form - - - name: worksheet_id - type: string - required: true - label: - en_US: Worksheet ID - zh_Hans: 工作表 ID - human_description: - en_US: The ID of the specified worksheet - zh_Hans: 要获取字段信息的工作表 ID - llm_description: The ID of the specified worksheet which to get the fields information. - form: llm - - - name: x_column_fields - type: string - required: true - label: - en_US: Columns (X-axis) - zh_Hans: 统计列字段（X轴） - human_description: - en_US: The column fields that make up the pivot table's X-axis groups or other dimensions for the X-axis in pivot charts - zh_Hans: 组成透视表的统计列或者统计图表的X轴分组及X轴其它维度。JSON 对象数组格式，数组元素属性：controlId-列ID，displayName-显示名称，particleSize(可选)-字段类型是日期或者地区时，通过此参数设置统计维度（日期时间：1-日，2-周，3-月；地区：1-全国，2-省，3-市） - llm_description: | - This parameter allows you to specify the columns that make up the pivot table's X-axis groups or other dimensions for the X-axis in pivot charts. It is formatted as a JSON array, with its structure defined as follows: - ``` - type XColumnFields = { // X-axis or column object array - controlId: string; // fieldId - displayName: string; // displayName - particleSize?: number; // field type is date or area, set the statistical dimension (date time: 1-day, 2-week, 3-month; area: 1-nation, 2-province, 3-city) - }[]; - ``` - form: llm - - - name: y_row_fields - type: string - required: false - label: - en_US: Rows (Y-axis) - zh_Hans: 统计行字段（Y轴） - human_description: - en_US: The row fields that make up the pivot table's Y-axis groups or other dimensions for the Y-axis in pivot charts - zh_Hans: 组成透视表的统计行或者统计图表的Y轴分组及Y轴其它维度。JSON 对象数组格式，数组元素属性：controlId-列ID，displayName-显示名称，particleSize(可选)-字段类型是日期或者地区时，通过此参数设置统计维度（日期时间：1-日，2-周，3-月；地区：1-全国，2-省，3-市） - llm_description: | - This parameter allows you to specify the rows that make up the pivot table's Y-axis groups or other dimensions for the Y-axis in pivot charts. It is formatted as a JSON array, with its structure defined as follows: - ``` - type YRowFields = { // Y-axis or row object array - controlId: string; // fieldId - displayName: string; // displayName - particleSize?: number; // field type is date or area, set the statistical dimension (date time: 1-day, 2-week, 3-month; area: 1-nation, 2-province, 3-city) - }[]; - ``` - form: llm - - - name: value_fields - type: string - required: true - label: - en_US: Aggregated Values - zh_Hans: 统计值字段 - human_description: - en_US: The aggregated value fields in the pivot table - zh_Hans: 透视表中经过聚合计算后的统计值字段。JSON 对象数组格式，数组元素属性：controlId-列ID，displayName-显示名称，aggregation-聚合方式（SUM,AVG,MIN,MAX,COUNT） - llm_description: | - This parameter allows you to specify the aggregated value fields in the pivot table. It is formatted as a JSON array, with its structure defined as follows: - ``` - type ValueFields = { // aggregated value object array - controlId: string; // fieldId - displayName: string; // displayName - aggregation: string; // aggregation method, e.g.: SUM, AVG, MIN, MAX, COUNT - }[]; - ``` - form: llm - - - name: filters - type: string - required: false - label: - en_US: Filter Set - zh_Hans: 筛选器组合 - human_description: - en_US: A combination of filters applied to query records, formatted as a JSON array. See the application's API documentation for details on its structure and usage. - zh_Hans: 查询记录的筛选条件组合，格式为 JSON 数组，可以从应用 API 文档中了解参数结构详情 - llm_description: | - This parameter allows you to specify a set of conditions that records must meet to be included in the result set. It is formatted as a JSON array, with its structure defined as follows: - ``` - type Filters = { // filter object array - controlId: string; // fieldId - dataType: number; // fieldTypeId - spliceType: number; // condition concatenation method, 1: And, 2: Or - filterType: number; // expression type, refer to the for enumerable values - values?: string[]; // values in the condition, for option-type fields, multiple values can be passed - value?: string; // value in the condition, a single value can be passed according to the field type - dateRange?: number; // date range, mandatory when filterType is 17 or 18, refer to the for enumerable values - minValue?: string; // minimum value for custom range - maxValue?: string; // maximum value for custom range - isAsc?: boolean; // ascending order, false: descending, true: ascending - }[]; - ``` - For option-type fields, if this option field has `options`, then you need to get the corresponding `key` value from the `options` in the current field information via `value`, and pass it into `values` in array format. Do not use the `options` value of other fields as input conditions. - - ### FilterTypeEnum Reference - ``` - Enum Value, Enum Character, Description - 1, Like, Contains - 2, Eq, Is (Equal) - 3, Start, Starts With - 4, End, Ends With - 5, NotLike, Does Not Contain - 6, Ne, Is Not (Not Equal) - 7, IsEmpty, Empty - 8, HasValue, Not Empty - 11, Between, Within Range - 12, NotBetween, Outside Range - 13, Gt, Greater Than - 14, Gte, Greater Than or Equal To - 15, Lt, Less Than - 16, Lte, Less Than or Equal To - 17, DateEnum, Date Is - 18, NotDateEnum, Date Is Not - 21, MySelf, Owned by Me - 22, UnRead, Unread - 23, Sub, Owned by Subordinate - 24, RCEq, Associated Field Is - 25, RCNe, Associated Field Is Not - 26, ArrEq, Array Equals - 27, ArrNe, Array Does Not Equal - 31, DateBetween, Date Within Range (can only be used with minValue and maxValue) - 32, DateNotBetween, Date Not Within Range (can only be used with minValue and maxValue) - 33, DateGt, Date Later Than - 34, DateGte, Date Later Than or Equal To - 35, DateLt, Date Earlier Than - 36, DateLte, Date Earlier Than or Equal To - ``` - - ### DateRangeEnum Reference - ``` - Enum Value, Enum Character, Description - 1, Today, Today - 2, Yesterday, Yesterday - 3, Tomorrow, Tomorrow - 4, ThisWeek, This Week - 5, LastWeek, Last Week - 6, NextWeek, Next Week - 7, ThisMonth, This Month - 8, LastMonth, Last Month - 9, NextMonth, Next Month - 12, ThisQuarter, This Quarter - 13, LastQuarter, Last Quarter - 14, NextQuarter, Next Quarter - 15, ThisYear, This Year - 16, LastYear, Last Year - 17, NextYear, Next Year - 18, Customize, Custom - 21, Last7Day, Past 7 Days - 22, Last14Day, Past 14 Days - 23, Last30Day, Past 30 Days - 31, Next7Day, Next 7 Days - 32, Next14Day, Next 14 Days - 33, Next33Day, Next 33 Days - ``` - form: llm - - - name: sort_fields - type: string - required: false - label: - en_US: Sort Fields - zh_Hans: 排序字段 - human_description: - en_US: The fields to used for sorting - zh_Hans: 用于确定排序的字段，不超过3个 - llm_description: | - This optional parameter specifies the unique identifier of the fields that will be used to sort the results. It is in the format of an array of JSON objects, and its structure is defined as follows: - ``` - type SortByFields = { - controlId: string; // Field ID used for sorting - isAsc: boolean; // Sorting direction, true indicates ascending order, false indicates descending order - }[]; - ``` - form: llm - - - name: host - type: string - required: false - label: - en_US: Host Address - zh_Hans: 服务器地址 - human_description: - en_US: The address for the privately deployed HAP server. - zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写 - llm_description: the address for the privately deployed HAP server. - form: form - - - name: result_type - type: select - required: true - options: - - value: table - label: - en_US: table text - zh_Hans: 表格文本 - - value: json - label: - en_US: json text - zh_Hans: JSON文本 - default: table - label: - en_US: Result type - zh_Hans: 结果类型 - human_description: - en_US: used for selecting the result type, table styled text or json text - zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本 - form: form diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py b/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py deleted file mode 100644 index 9e43d5c532e5b3..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.py +++ /dev/null @@ -1,231 +0,0 @@ -import json -import re -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class ListWorksheetRecordsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - appkey = tool_parameters.get("appkey", "") - if not appkey: - return self.create_text_message("Invalid parameter App Key") - - sign = tool_parameters.get("sign", "") - if not sign: - return self.create_text_message("Invalid parameter Sign") - - worksheet_id = tool_parameters.get("worksheet_id", "") - if not worksheet_id: - return self.create_text_message("Invalid parameter Worksheet ID") - - host = tool_parameters.get("host", "") - if not host: - host = "https://api.mingdao.com" - elif not (host.startswith("http://") or host.startswith("https://")): - return self.create_text_message("Invalid parameter Host Address") - else: - host = f"{host.removesuffix('/')}/api" - - url_fields = f"{host}/v2/open/worksheet/getWorksheetInfo" - headers = {"Content-Type": "application/json"} - payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id} - - field_ids = tool_parameters.get("field_ids", "") - - try: - res = httpx.post(url_fields, headers=headers, json=payload, timeout=30) - res_json = res.json() - if res.is_success: - if res_json["error_code"] != 1: - return self.create_text_message( - "Failed to get the worksheet information. {}".format(res_json["error_msg"]) - ) - else: - worksheet_name = res_json["data"]["name"] - fields, schema, table_header = self.get_schema(res_json["data"]["controls"], field_ids) - else: - return self.create_text_message( - f"Failed to get the worksheet information, status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message( - "Failed to get the worksheet information, something went wrong: {}".format(e) - ) - - if field_ids: - payload["controls"] = [v.strip() for v in field_ids.split(",")] if field_ids else [] - filters = tool_parameters.get("filters", "") - if filters: - payload["filters"] = json.loads(filters) - sort_id = tool_parameters.get("sort_id", "") - sort_is_asc = tool_parameters.get("sort_is_asc", False) - if sort_id: - payload["sortId"] = sort_id - payload["isAsc"] = sort_is_asc - limit = tool_parameters.get("limit", 50) - payload["pageSize"] = limit - page_index = tool_parameters.get("page_index", 1) - payload["pageIndex"] = page_index - payload["useControlId"] = True - payload["listType"] = 1 - - url = f"{host}/v2/open/worksheet/getFilterRows" - try: - res = httpx.post(url, headers=headers, json=payload, timeout=90) - res_json = res.json() - if res.is_success: - if res_json["error_code"] != 1: - return self.create_text_message("Failed to get the records. {}".format(res_json["error_msg"])) - else: - result = { - "fields": fields, - "rows": [], - "total": res_json.get("data", {}).get("total"), - "payload": { - key: payload[key] - for key in [ - "worksheetId", - "controls", - "filters", - "sortId", - "isAsc", - "pageSize", - "pageIndex", - ] - if key in payload - }, - } - rows = res_json.get("data", {}).get("rows", []) - result_type = tool_parameters.get("result_type", "") - if not result_type: - result_type = "table" - if result_type == "json": - for row in rows: - result["rows"].append(self.get_row_field_value(row, schema)) - return self.create_text_message(json.dumps(result, ensure_ascii=False)) - else: - result_text = f'Found {result["total"]} rows in worksheet "{worksheet_name}".' - if result["total"] > 0: - result_text += ( - f" The following are {min(limit, result['total'])}" - f" pieces of data presented in a table format:\n\n{table_header}" - ) - for row in rows: - result_values = [] - for f in fields: - result_values.append( - self.handle_value_type(row[f["fieldId"]], schema[f["fieldId"]]) - ) - result_text += "\n|" + "|".join(result_values) + "|" - return self.create_text_message(result_text) - else: - return self.create_text_message( - f"Failed to get the records, status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message("Failed to get the records, something went wrong: {}".format(e)) - - def get_row_field_value(self, row: dict, schema: dict): - row_value = {"rowid": row["rowid"]} - for field in schema: - row_value[field] = self.handle_value_type(row[field], schema[field]) - return row_value - - def get_schema(self, controls: list, fieldids: str): - allow_fields = {v.strip() for v in fieldids.split(",")} if fieldids else set() - fields = [] - schema = {} - field_names = [] - for control in controls: - control_type_id = self.get_real_type_id(control) - if (control_type_id in self._get_ignore_types()) or ( - allow_fields and control["controlId"] not in allow_fields - ): - continue - else: - fields.append({"fieldId": control["controlId"], "fieldName": control["controlName"]}) - schema[control["controlId"]] = {"typeId": control_type_id, "options": self.set_option(control)} - field_names.append(control["controlName"]) - if not allow_fields or ("ctime" in allow_fields): - fields.append({"fieldId": "ctime", "fieldName": "Created Time"}) - schema["ctime"] = {"typeId": 16, "options": {}} - field_names.append("Created Time") - fields.append({"fieldId": "rowid", "fieldName": "Record Row ID"}) - schema["rowid"] = {"typeId": 2, "options": {}} - field_names.append("Record Row ID") - return fields, schema, "|" + "|".join(field_names) + "|\n|" + "---|" * len(field_names) - - def get_real_type_id(self, control: dict) -> int: - return control["sourceControlType"] if control["type"] == 30 else control["type"] - - def set_option(self, control: dict) -> dict: - options = {} - if control.get("options"): - options = {option["key"]: option["value"] for option in control["options"]} - elif control.get("advancedSetting", {}).get("itemnames"): - try: - itemnames = json.loads(control["advancedSetting"]["itemnames"]) - options = {item["key"]: item["value"] for item in itemnames} - except json.JSONDecodeError: - pass - return options - - def _get_ignore_types(self): - return {14, 21, 22, 34, 42, 43, 45, 47, 49, 10010} - - def handle_value_type(self, value, field): - type_id = field.get("typeId") - if type_id == 10: - value = value if isinstance(value, str) else "、".join(value) - elif type_id in {28, 36}: - value = field.get("options", {}).get(value, value) - elif type_id in {26, 27, 48, 14}: - value = self.process_value(value) - elif type_id in {35, 29}: - value = self.parse_cascade_or_associated(field, value) - elif type_id == 40: - value = self.parse_location(value) - return self.rich_text_to_plain_text(value) if value else "" - - def process_value(self, value): - if isinstance(value, str): - if value.startswith('[{"accountId"'): - value = json.loads(value) - value = ", ".join([item["fullname"] for item in value]) - elif value.startswith('[{"departmentId"'): - value = json.loads(value) - value = "、".join([item["departmentName"] for item in value]) - elif value.startswith('[{"organizeId"'): - value = json.loads(value) - value = "、".join([item["organizeName"] for item in value]) - elif value.startswith('[{"file_id"') or value == "[]": - value = "" - elif hasattr(value, "accountId"): - value = value["fullname"] - return value - - def parse_cascade_or_associated(self, field, value): - if (field["typeId"] == 35 and value.startswith("[")) or (field["typeId"] == 29 and value.startswith("[{")): - value = json.loads(value) - value = value[0]["name"] if len(value) > 0 else "" - else: - value = "" - return value - - def parse_location(self, value): - if len(value) > 10: - parsed_value = json.loads(value) - value = parsed_value.get("address", "") - else: - value = "" - return value - - def rich_text_to_plain_text(self, rich_text): - text = re.sub(r"<[^>]+>", "", rich_text) if "<" in rich_text else rich_text - return text.replace("|", "▏").replace("\n", " ") diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.yaml b/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.yaml deleted file mode 100644 index 3c37746b921d05..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/list_worksheet_records.yaml +++ /dev/null @@ -1,226 +0,0 @@ -identity: - name: list_worksheet_records - author: Ryan Tian - label: - en_US: List Worksheet Records - zh_Hans: 查询工作表记录数据 -description: - human: - en_US: List records from the worksheet - zh_Hans: 查询工作表的记录列表数据，一次最多1000行，可分页获取 - llm: A tool to retrieve record data from the specific worksheet. -parameters: - - name: appkey - type: secret-input - required: true - label: - en_US: App Key - zh_Hans: App Key - human_description: - en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation. - zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到 - llm_description: the AppKey parameter for the HAP application - form: form - - - name: sign - type: secret-input - required: true - label: - en_US: Sign - zh_Hans: Sign - human_description: - en_US: The Sign parameter for the HAP application - zh_Hans: HAP 应用的 Sign 参数 - llm_description: the Sign parameter for the HAP application - form: form - - - name: worksheet_id - type: string - required: true - label: - en_US: Worksheet ID - zh_Hans: 工作表 ID - human_description: - en_US: The ID of the worksheet from which to retrieve record data - zh_Hans: 要获取记录数据的工作表 ID - llm_description: This parameter specifies the ID of the worksheet where the records are stored. - form: llm - - - name: field_ids - type: string - required: false - label: - en_US: Field IDs - zh_Hans: 字段 ID 列表 - human_description: - en_US: A comma-separated list of field IDs whose data to retrieve. If not provided, all fields' data will be fetched - zh_Hans: 要获取记录数据的字段 ID，多个 ID 间用英文逗号隔开，不传此参数则将获取所有字段的数据 - llm_description: This optional parameter lets you specify a comma-separated list of field IDs. Unless the user explicitly requests to output the specified field in the question, this parameter should usually be omitted. If this parameter is omitted, the API will return data for all fields by default. When provided, only the data associated with these fields will be included in the response. - form: llm - - - name: filters - type: string - required: false - label: - en_US: Filter Set - zh_Hans: 筛选器组合 - human_description: - en_US: A combination of filters applied to query records, formatted as a JSON array. See the application's API documentation for details on its structure and usage. - zh_Hans: 查询记录的筛选条件组合，格式为 JSON 数组，可以从应用 API 文档中了解参数结构详情 - llm_description: | - This parameter allows you to specify a set of conditions that records must meet to be included in the result set. It is formatted as a JSON array, with its structure defined as follows: - ``` - type Filters = { // filter object array - controlId: string; // fieldId - dataType: number; // fieldTypeId - spliceType: number; // condition concatenation method, 1: And, 2: Or - filterType: number; // expression type, refer to the for enumerable values - values?: string[]; // values in the condition, for option-type fields, multiple values can be passed - value?: string; // value in the condition, a single value can be passed according to the field type - dateRange?: number; // date range, mandatory when filterType is 17 or 18, refer to the for enumerable values - minValue?: string; // minimum value for custom range - maxValue?: string; // maximum value for custom range - isAsc?: boolean; // ascending order, false: descending, true: ascending - }[]; - ``` - For option-type fields, if this option field has `options`, then you need to get the corresponding `key` value from the `options` in the current field information via `value`, and pass it into `values` in array format. Do not use the `options` value of other fields as input conditions. - - ### FilterTypeEnum Reference - ``` - Enum Value, Enum Character, Description - 1, Like, Contains(Include) - 2, Eq, Is (Equal) - 3, Start, Starts With - 4, End, Ends With - 5, NotLike, Does Not Contain(Not Include) - 6, Ne, Is Not (Not Equal) - 7, IsEmpty, Empty - 8, HasValue, Not Empty - 11, Between, Within Range(Belong to) - 12, NotBetween, Outside Range(Not belong to) - 13, Gt, Greater Than - 14, Gte, Greater Than or Equal To - 15, Lt, Less Than - 16, Lte, Less Than or Equal To - 17, DateEnum, Date Is - 18, NotDateEnum, Date Is Not - 24, RCEq, Associated Field Is - 25, RCNe, Associated Field Is Not - 26, ArrEq, Array Equals - 27, ArrNe, Array Does Not Equal - 31, DateBetween, Date Within Range (can only be used with minValue and maxValue) - 32, DateNotBetween, Date Not Within Range (can only be used with minValue and maxValue) - 33, DateGt, Date Later Than - 34, DateGte, Date Later Than or Equal To - 35, DateLt, Date Earlier Than - 36, DateLte, Date Earlier Than or Equal To - ``` - - ### DateRangeEnum Reference - ``` - Enum Value, Enum Character, Description - 1, Today, Today - 2, Yesterday, Yesterday - 3, Tomorrow, Tomorrow - 4, ThisWeek, This Week - 5, LastWeek, Last Week - 6, NextWeek, Next Week - 7, ThisMonth, This Month - 8, LastMonth, Last Month - 9, NextMonth, Next Month - 12, ThisQuarter, This Quarter - 13, LastQuarter, Last Quarter - 14, NextQuarter, Next Quarter - 15, ThisYear, This Year - 16, LastYear, Last Year - 17, NextYear, Next Year - 18, Customize, Custom - 21, Last7Day, Past 7 Days - 22, Last14Day, Past 14 Days - 23, Last30Day, Past 30 Days - 31, Next7Day, Next 7 Days - 32, Next14Day, Next 14 Days - 33, Next33Day, Next 33 Days - ``` - form: llm - - - name: sort_id - type: string - required: false - label: - en_US: Sort Field ID - zh_Hans: 排序字段 ID - human_description: - en_US: The ID of the field used for sorting - zh_Hans: 用以排序的字段 ID - llm_description: This optional parameter specifies the unique identifier of the field that will be used to sort the results. It should be set to the ID of an existing field within your data structure. - form: llm - - - name: sort_is_asc - type: boolean - required: false - label: - en_US: Ascending Order - zh_Hans: 是否升序排列 - human_description: - en_US: Determines whether the sorting is in ascending (true) or descending (false) order - zh_Hans: 排序字段的排序方式：true-升序，false-降序 - llm_description: This optional parameter controls the direction of the sort. If set to true, the results will be sorted in ascending order; if false, they will be sorted in descending order. - form: llm - - - name: limit - type: number - required: false - label: - en_US: Record Limit - zh_Hans: 记录数量限制 - human_description: - en_US: The maximum number of records to retrieve - zh_Hans: 要获取的记录数量限制条数 - llm_description: This optional parameter allows you to specify the maximum number of records that should be returned in the result set. When retrieving paginated record data, this parameter indicates the number of rows to fetch per page, and must be used in conjunction with the `page_index` parameter. - form: llm - - - name: page_index - type: number - required: false - label: - en_US: Page Index - zh_Hans: 页码 - human_description: - en_US: The page number when paginating through a list of records - zh_Hans: 分页读取记录列表时的页码 - llm_description: This parameter is used when you need to paginate through a large set of records. The default value is 1, which refers to the first page. When it is used, the meaning of the `limit` parameter becomes the number of records per page. - form: llm - - - name: host - type: string - required: false - label: - en_US: Host Address - zh_Hans: 服务器地址 - human_description: - en_US: The address for the privately deployed HAP server. - zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写 - llm_description: the address for the privately deployed HAP server. - form: form - - - name: result_type - type: select - required: true - options: - - value: table - label: - en_US: table text - zh_Hans: 表格文本 - - value: json - label: - en_US: json text - zh_Hans: JSON文本 - default: table - label: - en_US: Result type - zh_Hans: 结果类型 - human_description: - en_US: used for selecting the result type, table styled text or json text - zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本 - form: form diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheets.py b/api/core/tools/provider/builtin/hap/tools/list_worksheets.py deleted file mode 100644 index 4e852c0028497c..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/list_worksheets.py +++ /dev/null @@ -1,83 +0,0 @@ -import json -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class ListWorksheetsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - appkey = tool_parameters.get("appkey", "") - if not appkey: - return self.create_text_message("Invalid parameter App Key") - sign = tool_parameters.get("sign", "") - if not sign: - return self.create_text_message("Invalid parameter Sign") - - host = tool_parameters.get("host", "") - if not host: - host = "https://api.mingdao.com" - elif not (host.startswith("http://") or host.startswith("https://")): - return self.create_text_message("Invalid parameter Host Address") - else: - host = f"{host.removesuffix('/')}/api" - url = f"{host}/v1/open/app/get" - - result_type = tool_parameters.get("result_type", "") - if not result_type: - result_type = "table" - - headers = {"Content-Type": "application/json"} - params = { - "appKey": appkey, - "sign": sign, - } - try: - res = httpx.get(url, headers=headers, params=params, timeout=30) - res_json = res.json() - if res.is_success: - if res_json["error_code"] != 1: - return self.create_text_message( - "Failed to access the application. {}".format(res_json["error_msg"]) - ) - else: - if result_type == "json": - worksheets = [] - for section in res_json["data"]["sections"]: - worksheets.extend(self._extract_worksheets(section, result_type)) - return self.create_text_message(text=json.dumps(worksheets, ensure_ascii=False)) - else: - worksheets = "|worksheetId|worksheetName|description|\n|---|---|---|" - for section in res_json["data"]["sections"]: - worksheets += self._extract_worksheets(section, result_type) - return self.create_text_message(worksheets) - - else: - return self.create_text_message( - f"Failed to list worksheets, status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message("Failed to list worksheets, something went wrong: {}".format(e)) - - def _extract_worksheets(self, section, type): - items = [] - tables = "" - for item in section.get("items", []): - if item.get("type") == 0 and ("notes" not in item or item.get("notes") != "NO"): - if type == "json": - filtered_item = {"id": item["id"], "name": item["name"], "notes": item.get("notes", "")} - items.append(filtered_item) - else: - tables += f"\n|{item['id']}|{item['name']}|{item.get('notes', '')}|" - - for child_section in section.get("childSections", []): - if type == "json": - items.extend(self._extract_worksheets(child_section, "json")) - else: - tables += self._extract_worksheets(child_section, "table") - - return items if type == "json" else tables diff --git a/api/core/tools/provider/builtin/hap/tools/list_worksheets.yaml b/api/core/tools/provider/builtin/hap/tools/list_worksheets.yaml deleted file mode 100644 index 935b72a89564cd..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/list_worksheets.yaml +++ /dev/null @@ -1,68 +0,0 @@ -identity: - name: list_worksheets - author: Ryan Tian - label: - en_US: List Worksheets - zh_Hans: 获取应用下所有工作表 -description: - human: - en_US: List worksheets within an application - zh_Hans: 获取应用下的所有工作表和说明信息 - llm: A tool to list worksheets info within an application, imported parameter is AppKey and Sign of the application. -parameters: - - name: appkey - type: secret-input - required: true - label: - en_US: App Key - zh_Hans: App Key - human_description: - en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation. - zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到 - llm_description: the AppKey parameter for the HAP application - form: form - - - name: sign - type: secret-input - required: true - label: - en_US: Sign - zh_Hans: Sign - human_description: - en_US: The Sign parameter for the HAP application - zh_Hans: HAP 应用的 Sign 参数 - llm_description: the Sign parameter for the HAP application - form: form - - - name: host - type: string - required: false - label: - en_US: Host Address - zh_Hans: 服务器地址 - human_description: - en_US: The address for the privately deployed HAP server. - zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写 - llm_description: the address for the privately deployed HAP server. - form: form - - - name: result_type - type: select - required: true - options: - - value: table - label: - en_US: table text - zh_Hans: 表格文本 - - value: json - label: - en_US: json text - zh_Hans: JSON文本 - default: table - label: - en_US: Result type - zh_Hans: 结果类型 - human_description: - en_US: used for selecting the result type, table styled text or json text - zh_Hans: 用于选择结果类型，使用表格格式文本还是JSON格式文本 - form: form diff --git a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.py b/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.py deleted file mode 100644 index 971f3d37f6dfbf..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.py +++ /dev/null @@ -1,55 +0,0 @@ -import json -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class UpdateWorksheetRecordTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - appkey = tool_parameters.get("appkey", "") - if not appkey: - return self.create_text_message("Invalid parameter App Key") - sign = tool_parameters.get("sign", "") - if not sign: - return self.create_text_message("Invalid parameter Sign") - worksheet_id = tool_parameters.get("worksheet_id", "") - if not worksheet_id: - return self.create_text_message("Invalid parameter Worksheet ID") - row_id = tool_parameters.get("row_id", "") - if not row_id: - return self.create_text_message("Invalid parameter Record Row ID") - record_data = tool_parameters.get("record_data", "") - if not record_data: - return self.create_text_message("Invalid parameter Record Row Data") - - host = tool_parameters.get("host", "") - if not host: - host = "https://api.mingdao.com" - elif not host.startswith(("http://", "https://")): - return self.create_text_message("Invalid parameter Host Address") - else: - host = f"{host.removesuffix('/')}/api" - - url = f"{host}/v2/open/worksheet/editRow" - headers = {"Content-Type": "application/json"} - payload = {"appKey": appkey, "sign": sign, "worksheetId": worksheet_id, "rowId": row_id} - - try: - payload["controls"] = json.loads(record_data) - res = httpx.post(url, headers=headers, json=payload, timeout=60) - res.raise_for_status() - res_json = res.json() - if res_json.get("error_code") != 1: - return self.create_text_message(f"Failed to update the record. {res_json['error_msg']}") - return self.create_text_message("Record updated successfully.") - except httpx.RequestError as e: - return self.create_text_message(f"Failed to update the record, request error: {e}") - except json.JSONDecodeError as e: - return self.create_text_message(f"Failed to parse JSON response: {e}") - except Exception as e: - return self.create_text_message(f"Failed to update the record, unexpected error: {e}") diff --git a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.yaml b/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.yaml deleted file mode 100644 index fe1f8f671a4e2f..00000000000000 --- a/api/core/tools/provider/builtin/hap/tools/update_worksheet_record.yaml +++ /dev/null @@ -1,90 +0,0 @@ -identity: - name: update_worksheet_record - author: Ryan Tian - label: - en_US: Update Worksheet Record - zh_Hans: 更新指定的一条工作表记录 -description: - human: - en_US: Updates a single record in a worksheet based on the specified record row ID - zh_Hans: 根据指定的记录ID更新一条工作表记录数据 - llm: A tool to modify existing information within a particular record of a worksheet by referencing its unique identifier. -parameters: - - name: appkey - type: secret-input - required: true - label: - en_US: App Key - zh_Hans: App Key - human_description: - en_US: The AppKey parameter for the HAP application, typically found in the application's API documentation. - zh_Hans: HAP 应用的 AppKey 参数，可以从应用 API 文档中查找到 - llm_description: the AppKey parameter for the HAP application - form: form - - - name: sign - type: secret-input - required: true - label: - en_US: Sign - zh_Hans: Sign - human_description: - en_US: The Sign parameter for the HAP application - zh_Hans: HAP 应用的 Sign 参数 - llm_description: the Sign parameter for the HAP application - form: form - - - name: worksheet_id - type: string - required: true - label: - en_US: Worksheet ID - zh_Hans: 工作表 ID - human_description: - en_US: The ID of the specified worksheet - zh_Hans: 要获取字段信息的工作表 ID - llm_description: The ID of the specified worksheet which to get the fields information. - form: llm - - - name: row_id - type: string - required: true - label: - en_US: Record Row ID - zh_Hans: 记录 ID - human_description: - en_US: The row ID of the specified record - zh_Hans: 要更新的记录 ID - llm_description: The row ID of the specified record which to be updated. - form: llm - - - name: record_data - type: string - required: true - label: - en_US: Record Row Data - zh_Hans: 记录数据 - human_description: - en_US: The fields with data of the specified record - zh_Hans: 要更新的记录数据，JSON 对象数组格式。数组元素属性：controlId-字段ID，value-字段值 - llm_description: | - The fields with data of the specified record which to be updated. It is in the format of an array of JSON objects, and the structure is defined as follows: - ``` - type RowData = { - controlId: string; // Field ID to be updated - value: string; // Field value to be updated - }[]; - ``` - form: llm - - - name: host - type: string - required: false - label: - en_US: Host Address - zh_Hans: 服务器地址 - human_description: - en_US: The address for the privately deployed HAP server. - zh_Hans: 私有部署 HAP 服务器地址，公有云无需填写 - llm_description: the address for the privately deployed HAP server. - form: form diff --git a/api/core/tools/provider/builtin/jina/_assets/icon.svg b/api/core/tools/provider/builtin/jina/_assets/icon.svg deleted file mode 100644 index 2e1b00fa52e43c..00000000000000 --- a/api/core/tools/provider/builtin/jina/_assets/icon.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - diff --git a/api/core/tools/provider/builtin/jina/jina.py b/api/core/tools/provider/builtin/jina/jina.py deleted file mode 100644 index 154e15db016dd1..00000000000000 --- a/api/core/tools/provider/builtin/jina/jina.py +++ /dev/null @@ -1,38 +0,0 @@ -import json -from typing import Any - -from core.tools.entities.values import ToolLabelEnum -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.jina.tools.jina_reader import JinaReaderTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GoogleProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - if credentials["api_key"] is None: - credentials["api_key"] = "" - else: - result = ( - JinaReaderTool() - .fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ) - .invoke( - user_id="", - tool_parameters={ - "url": "https://example.com", - }, - )[0] - ) - - message = json.loads(result.message) - if message["code"] != 200: - raise ToolProviderCredentialValidationError(message["message"]) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) - - def _get_tool_labels(self) -> list[ToolLabelEnum]: - return [ToolLabelEnum.SEARCH, ToolLabelEnum.PRODUCTIVITY] diff --git a/api/core/tools/provider/builtin/jina/jina.yaml b/api/core/tools/provider/builtin/jina/jina.yaml deleted file mode 100644 index af3ca23ffaff46..00000000000000 --- a/api/core/tools/provider/builtin/jina/jina.yaml +++ /dev/null @@ -1,32 +0,0 @@ -identity: - author: Dify - name: jina - label: - en_US: Jina AI - zh_Hans: Jina AI - pt_BR: Jina AI - description: - en_US: Your Search Foundation, Supercharged! - zh_Hans: 您的搜索底座，从此不同! - pt_BR: Your Search Foundation, Supercharged! - icon: icon.svg - tags: - - search - - productivity -credentials_for_provider: - api_key: - type: secret-input - required: false - label: - en_US: API Key (leave empty if you don't have one) - zh_Hans: API 密钥（可留空） - pt_BR: Chave API (deixe vazio se você não tiver uma) - placeholder: - en_US: Please enter your Jina AI API key - zh_Hans: 请输入你的 Jina AI API 密钥 - pt_BR: Por favor, insira sua chave de API do Jina AI - help: - en_US: Get your Jina AI API key from Jina AI (optional, but you can get a higher rate) - zh_Hans: 从 Jina AI 获取您的 Jina AI API 密钥（非必须，能得到更高的速率） - pt_BR: Obtenha sua chave de API do Jina AI na Jina AI (opcional, mas você pode obter uma taxa mais alta) - url: https://jina.ai diff --git a/api/core/tools/provider/builtin/jina/tools/jina_reader.py b/api/core/tools/provider/builtin/jina/tools/jina_reader.py deleted file mode 100644 index 756b7272248146..00000000000000 --- a/api/core/tools/provider/builtin/jina/tools/jina_reader.py +++ /dev/null @@ -1,87 +0,0 @@ -import json -from typing import Any, Union - -from yarl import URL - -from core.helper import ssrf_proxy -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class JinaReaderTool(BuiltinTool): - _jina_reader_endpoint = "https://r.jina.ai/" - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - url = tool_parameters["url"] - - headers = {"Accept": "application/json"} - - if "api_key" in self.runtime.credentials and self.runtime.credentials.get("api_key"): - headers["Authorization"] = "Bearer " + self.runtime.credentials.get("api_key") - - request_params = tool_parameters.get("request_params") - if request_params is not None and request_params != "": - try: - request_params = json.loads(request_params) - if not isinstance(request_params, dict): - raise ValueError("request_params must be a JSON object") - except (json.JSONDecodeError, ValueError) as e: - raise ValueError(f"Invalid request_params: {e}") - - target_selector = tool_parameters.get("target_selector") - if target_selector is not None and target_selector != "": - headers["X-Target-Selector"] = target_selector - - wait_for_selector = tool_parameters.get("wait_for_selector") - if wait_for_selector is not None and wait_for_selector != "": - headers["X-Wait-For-Selector"] = wait_for_selector - - remove_selector = tool_parameters.get("remove_selector") - if remove_selector is not None and remove_selector != "": - headers["X-Remove-Selector"] = remove_selector - - if tool_parameters.get("retain_images", False): - headers["X-Retain-Images"] = "true" - - if tool_parameters.get("image_caption", False): - headers["X-With-Generated-Alt"] = "true" - - if tool_parameters.get("gather_all_links_at_the_end", False): - headers["X-With-Links-Summary"] = "true" - - if tool_parameters.get("gather_all_images_at_the_end", False): - headers["X-With-Images-Summary"] = "true" - - proxy_server = tool_parameters.get("proxy_server") - if proxy_server is not None and proxy_server != "": - headers["X-Proxy-Url"] = proxy_server - - if tool_parameters.get("no_cache", False): - headers["X-No-Cache"] = "true" - - if tool_parameters.get("with_iframe", False): - headers["X-With-Iframe"] = "true" - - if tool_parameters.get("with_shadow_dom", False): - headers["X-With-Shadow-Dom"] = "true" - - max_retries = tool_parameters.get("max_retries", 3) - response = ssrf_proxy.get( - str(URL(self._jina_reader_endpoint + url)), - headers=headers, - params=request_params, - timeout=(10, 60), - max_retries=max_retries, - ) - - if tool_parameters.get("summary", False): - return self.create_text_message(self.summary(user_id, response.text)) - - return self.create_text_message(response.text) diff --git a/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml b/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml deleted file mode 100644 index 012a8c7688cb57..00000000000000 --- a/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml +++ /dev/null @@ -1,221 +0,0 @@ -identity: - name: jina_reader - author: Dify - label: - en_US: Fetch Single Page - zh_Hans: 获取单页面 - pt_BR: Fetch Single Page -description: - human: - en_US: Fetch the target URL (can be a PDF) and convert it into a LLM-friendly markdown. - zh_Hans: 获取目标网址（可以是 PDF），并将其转换为适合大模型处理的 Markdown 格式。 - pt_BR: Busque a URL de destino (que pode ser um PDF) e converta em um Markdown LLM-friendly. - llm: A tool for scraping webpages. Input should be a URL. -parameters: - - name: url - type: string - required: true - label: - en_US: URL - zh_Hans: 网址 - pt_BR: URL - human_description: - en_US: Web link - zh_Hans: 网页链接 - pt_BR: URL da web - llm_description: url para scraping - form: llm - - name: request_params - type: string - required: false - label: - en_US: Request params - zh_Hans: 请求参数 - pt_BR: Parâmetros de solicitação - human_description: - en_US: | - request parameters, format: {"key1": "value1", "key2": "value2"} - zh_Hans: | - 请求参数，格式：{"key1": "value1", "key2": "value2"} - pt_BR: | - parâmetros de solicitação, formato: {"key1": "value1", "key2": "value2"} - llm_description: request parameters - form: llm - - name: target_selector - type: string - required: false - label: - en_US: Target selector - zh_Hans: 目标选择器 - pt_BR: Seletor de destino - human_description: - en_US: css selector for scraping specific elements - zh_Hans: css 选择器用于抓取特定元素 - pt_BR: css selector para scraping de elementos específicos - llm_description: css selector of the target element to scrape - form: form - - name: wait_for_selector - type: string - required: false - label: - en_US: Wait for selector - zh_Hans: 等待选择器 - pt_BR: Aguardar por seletor - human_description: - en_US: css selector for waiting for specific elements - zh_Hans: css 选择器用于等待特定元素 - pt_BR: css selector para aguardar elementos específicos - llm_description: css selector of the target element to wait for - form: form - - name: remove_selector - type: string - required: false - label: - en_US: Excluded Selector - zh_Hans: 排除选择器 - pt_BR: Seletor Excluído - human_description: - en_US: css selector for remove for specific elements - zh_Hans: css 选择器用于排除特定元素 - pt_BR: seletor CSS para remover elementos específicos - llm_description: css selector of the target element to remove for - form: form - - name: retain_images - type: boolean - required: false - default: false - label: - en_US: Remove All Images - zh_Hans: 删除所有图片 - pt_BR: Remover todas as imagens - human_description: - en_US: Removes all images from the response. - zh_Hans: 从响应中删除所有图片。 - pt_BR: Remove todas as imagens da resposta. - llm_description: Remove all images - form: form - - name: image_caption - type: boolean - required: false - default: false - label: - en_US: Image caption - zh_Hans: 图片说明 - pt_BR: Legenda da imagem - human_description: - en_US: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing." - zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签，以支持下游模型的图像交互。" - pt_BR: "Adiciona legendas a todas as imagens na URL especificada, adicionando 'Imagem [idx]: [legenda]' como uma tag alt para aquelas que não têm uma. Isso permite que os modelos LLM inferiores interajam com as imagens em atividades como raciocínio e resumo." - llm_description: Captions all images at the specified URL - form: form - - name: gather_all_links_at_the_end - type: boolean - required: false - default: false - label: - en_US: Gather all links at the end - zh_Hans: 将所有链接集中到最后 - pt_BR: Coletar todos os links ao final - human_description: - en_US: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions. - zh_Hans: 末尾将添加“按钮和链接”部分，方便下游模型或网络代理做页面导航或执行进一步操作。 - pt_BR: Um "Botões & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions. - llm_description: Gather all links at the end - form: form - - name: gather_all_images_at_the_end - type: boolean - required: false - default: false - label: - en_US: Gather all images at the end - zh_Hans: 将所有图片集中到最后 - pt_BR: Coletar todas as imagens ao final - human_description: - en_US: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning. - zh_Hans: 末尾会新增“图片”部分，方便下游模型全面了解页面的视觉内容，提升推理效果。 - pt_BR: Um "Imagens" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning. - llm_description: Gather all images at the end - form: form - - name: proxy_server - type: string - required: false - label: - en_US: Proxy server - zh_Hans: 代理服务器 - pt_BR: Servidor de proxy - human_description: - en_US: Use proxy to access URLs - zh_Hans: 利用代理访问 URL - pt_BR: Use proxy to access URLs - llm_description: Use proxy to access URLs - form: form - - name: no_cache - type: boolean - required: false - default: false - label: - en_US: Bypass the Cache - zh_Hans: 绕过缓存 - pt_BR: Ignorar o cache - human_description: - en_US: Bypass the Cache - zh_Hans: 是否绕过缓存 - pt_BR: Ignorar o cache - llm_description: bypass the cache - form: form - - name: with_iframe - type: boolean - required: false - default: false - label: - en_US: Enable iframe extraction - zh_Hans: 启用 iframe 提取 - pt_BR: Habilitar extração de iframe - human_description: - en_US: Extract and process content of all embedded iframes in the DOM tree. - zh_Hans: 提取并处理 DOM 树中所有嵌入 iframe 的内容。 - pt_BR: Extrair e processar o conteúdo de todos os iframes incorporados na árvore DOM. - llm_description: Extract content from embedded iframes - form: form - - name: with_shadow_dom - type: boolean - required: false - default: false - label: - en_US: Enable Shadow DOM extraction - zh_Hans: 启用 Shadow DOM 提取 - pt_BR: Habilitar extração de Shadow DOM - human_description: - en_US: Traverse all Shadow DOM roots in the document and extract content. - zh_Hans: 遍历文档中所有 Shadow DOM 根并提取内容。 - pt_BR: Percorra todas as raízes do Shadow DOM no documento e extraia o conteúdo. - llm_description: Extract content from Shadow DOM roots - form: form - - name: summary - type: boolean - required: false - default: false - label: - en_US: Enable summary - zh_Hans: 是否启用摘要 - pt_BR: Habilitar resumo - human_description: - en_US: Enable summary for the output - zh_Hans: 为输出启用摘要 - pt_BR: Habilitar resumo para a saída - llm_description: enable summary - form: form - - name: max_retries - type: number - required: false - default: 3 - label: - en_US: Retry - zh_Hans: 重试 - pt_BR: Repetir - human_description: - en_US: Number of times to retry the request if it fails - zh_Hans: 请求失败时重试的次数 - pt_BR: Número de vezes para repetir a solicitação se falhar - llm_description: Number of times to retry the request if it fails - form: form diff --git a/api/core/tools/provider/builtin/jina/tools/jina_search.py b/api/core/tools/provider/builtin/jina/tools/jina_search.py deleted file mode 100644 index 30af6de7831e59..00000000000000 --- a/api/core/tools/provider/builtin/jina/tools/jina_search.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Any, Union - -from yarl import URL - -from core.helper import ssrf_proxy -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class JinaSearchTool(BuiltinTool): - _jina_search_endpoint = "https://s.jina.ai/" - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - query = tool_parameters["query"] - - headers = {"Accept": "application/json"} - - if "api_key" in self.runtime.credentials and self.runtime.credentials.get("api_key"): - headers["Authorization"] = "Bearer " + self.runtime.credentials.get("api_key") - - if tool_parameters.get("image_caption", False): - headers["X-With-Generated-Alt"] = "true" - - if tool_parameters.get("gather_all_links_at_the_end", False): - headers["X-With-Links-Summary"] = "true" - - if tool_parameters.get("gather_all_images_at_the_end", False): - headers["X-With-Images-Summary"] = "true" - - proxy_server = tool_parameters.get("proxy_server") - if proxy_server is not None and proxy_server != "": - headers["X-Proxy-Url"] = proxy_server - - if tool_parameters.get("no_cache", False): - headers["X-No-Cache"] = "true" - - max_retries = tool_parameters.get("max_retries", 3) - response = ssrf_proxy.get( - str(URL(self._jina_search_endpoint + query)), headers=headers, timeout=(10, 60), max_retries=max_retries - ) - - return self.create_text_message(response.text) diff --git a/api/core/tools/provider/builtin/jina/tools/jina_search.yaml b/api/core/tools/provider/builtin/jina/tools/jina_search.yaml deleted file mode 100644 index e58c639e5690d0..00000000000000 --- a/api/core/tools/provider/builtin/jina/tools/jina_search.yaml +++ /dev/null @@ -1,110 +0,0 @@ -identity: - name: jina_search - author: Dify - label: - en_US: Search the web - zh_Hans: 联网搜索 - pt_BR: Search the web -description: - human: - en_US: Search on the public web of a given query and return the top results as LLM-friendly markdown. - zh_Hans: 针对给定的查询在互联网上进行搜索，并以适合大模型处理的 Markdown 格式返回最相关的结果。 - pt_BR: Procurar na web pública de uma consulta fornecida e retornar os melhores resultados como markdown para LLMs. - llm: A tool for searching results on the web for grounding. Input should be a simple question. -parameters: - - name: query - type: string - required: true - label: - en_US: Question (Query) - zh_Hans: 查询 - pt_BR: Pergunta (Consulta) - human_description: - en_US: used to find information on the web - zh_Hans: 在网络上搜索信息 - pt_BR: Usado para encontrar informações na web - llm_description: Pergunta simples para fazer na web - form: llm - - name: image_caption - type: boolean - required: false - default: false - label: - en_US: Image caption - zh_Hans: 图片说明 - pt_BR: Legenda da imagem - human_description: - en_US: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing." - zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签，以支持下游模型的图像交互。" - pt_BR: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing." - llm_description: Captions all images at the specified URL - form: form - - name: gather_all_links_at_the_end - type: boolean - required: false - default: false - label: - en_US: Gather all links at the end - zh_Hans: 将所有链接集中到最后 - pt_BR: Coletar todos os links ao final - human_description: - en_US: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions. - zh_Hans: 末尾将添加“按钮和链接”部分，汇总页面上的所有链接。方便下游模型或网络代理做页面导航或执行进一步操作。 - pt_BR: Um "Botão & Links" seção será criada no final. Isso ajuda os LLMs ou agentes da web navegando pela página ou executar ações adicionais. - llm_description: Gather all links at the end - form: form - - name: gather_all_images_at_the_end - type: boolean - required: false - default: false - label: - en_US: Gather all images at the end - zh_Hans: 将所有图片集中到最后 - pt_BR: Coletar todas as imagens ao final - human_description: - en_US: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning. - zh_Hans: 末尾会新增“图片”部分，汇总页面上的所有图片。方便下游模型概览页面的视觉内容，提升推理效果。 - pt_BR: Um "Imagens" seção será criada no final. Isso fornece uma visão geral de todas as imagens na página para os LLMs, que pode melhorar a razão. - llm_description: Gather all images at the end - form: form - - name: proxy_server - type: string - required: false - label: - en_US: Proxy server - zh_Hans: 代理服务器 - pt_BR: Servidor de proxy - human_description: - en_US: Use proxy to access URLs - zh_Hans: 利用代理访问 URL - pt_BR: Usar proxy para acessar URLs - llm_description: Use proxy to access URLs - form: form - - name: no_cache - type: boolean - required: false - default: false - label: - en_US: Bypass the Cache - zh_Hans: 是否绕过缓存 - pt_BR: Ignorar o cache - human_description: - en_US: Bypass the Cache - zh_Hans: 是否绕过缓存 - pt_BR: Ignorar o cache - llm_description: bypass the cache - form: form - - name: max_retries - type: number - required: false - default: 3 - label: - en_US: Retry - zh_Hans: 重试 - pt_BR: Repetir - human_description: - en_US: Number of times to retry the request if it fails - zh_Hans: 请求失败时重试的次数 - pt_BR: Número de vezes para repetir a solicitação se falhar - llm_description: Number of times to retry the request if it fails - form: form diff --git a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.py b/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.py deleted file mode 100644 index 06dabcc9c2a74e..00000000000000 --- a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import Any - -from core.helper import ssrf_proxy -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class JinaTokenizerTool(BuiltinTool): - _jina_tokenizer_endpoint = "https://tokenize.jina.ai/" - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> ToolInvokeMessage: - content = tool_parameters["content"] - body = {"content": content} - - headers = {"Content-Type": "application/json"} - - if "api_key" in self.runtime.credentials and self.runtime.credentials.get("api_key"): - headers["Authorization"] = "Bearer " + self.runtime.credentials.get("api_key") - - if tool_parameters.get("return_chunks", False): - body["return_chunks"] = True - - if tool_parameters.get("return_tokens", False): - body["return_tokens"] = True - - if tokenizer := tool_parameters.get("tokenizer"): - body["tokenizer"] = tokenizer - - response = ssrf_proxy.post( - self._jina_tokenizer_endpoint, - headers=headers, - json=body, - ) - - return self.create_json_message(response.json()) diff --git a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml b/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml deleted file mode 100644 index 74885cdf9a7048..00000000000000 --- a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml +++ /dev/null @@ -1,78 +0,0 @@ -identity: - name: jina_tokenizer - author: hjlarry - label: - en_US: Segment - zh_Hans: 切分器 - pt_BR: Segment -description: - human: - en_US: Split long text into chunks and do tokenization. - zh_Hans: 将长文本拆分成小段落，并做分词处理。 - pt_BR: Dividir o texto longo em pedaços e fazer tokenização. - llm: Free API to tokenize text and segment long text into chunks. -parameters: - - name: content - type: string - required: true - label: - en_US: Content - zh_Hans: 内容 - pt_BR: Conteúdo - llm_description: the content which need to tokenize or segment - form: llm - - name: return_tokens - type: boolean - required: false - label: - en_US: Return the tokens - zh_Hans: 是否返回tokens - pt_BR: Retornar os tokens - human_description: - en_US: Return the tokens and their corresponding ids in the response. - zh_Hans: 返回tokens及其对应的ids。 - pt_BR: Retornar os tokens e seus respectivos ids na resposta. - form: form - - name: return_chunks - type: boolean - label: - en_US: Return the chunks - zh_Hans: 是否分块 - pt_BR: Retornar os chunks - human_description: - en_US: Chunking the input into semantically meaningful segments while handling a wide variety of text types and edge cases based on common structural cues. - zh_Hans: 将输入文本分块为语义有意义的片段，同时基于常见的结构线索处理各种文本类型和特殊情况。 - pt_BR: Dividir o texto de entrada em segmentos semanticamente significativos, enquanto lida com uma ampla variedade de tipos de texto e casos de borda com base em pistas estruturais comuns. - form: form - - name: tokenizer - type: select - options: - - value: cl100k_base - label: - en_US: cl100k_base - - value: o200k_base - label: - en_US: o200k_base - - value: p50k_base - label: - en_US: p50k_base - - value: r50k_base - label: - en_US: r50k_base - - value: p50k_edit - label: - en_US: p50k_edit - - value: gpt2 - label: - en_US: gpt2 - label: - en_US: Tokenizer - human_description: - en_US: | - · cl100k_base --- gpt-4, gpt-3.5-turbo, gpt-3.5 - · o200k_base --- gpt-4o, gpt-4o-mini - · p50k_base --- text-davinci-003, text-davinci-002 - · r50k_base --- text-davinci-001, text-curie-001 - · p50k_edit --- text-davinci-edit-001, code-davinci-edit-001 - · gpt2 --- gpt-2 - form: form diff --git a/api/core/tools/provider/builtin/json_process/_assets/icon.svg b/api/core/tools/provider/builtin/json_process/_assets/icon.svg deleted file mode 100644 index b123983836962a..00000000000000 --- a/api/core/tools/provider/builtin/json_process/_assets/icon.svg +++ /dev/null @@ -1,358 +0,0 @@ - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/json_process/json_process.py b/api/core/tools/provider/builtin/json_process/json_process.py deleted file mode 100644 index 10746210b5c652..00000000000000 --- a/api/core/tools/provider/builtin/json_process/json_process.py +++ /dev/null @@ -1,16 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.json_process.tools.parse import JSONParseTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class JsonExtractProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - JSONParseTool().invoke( - user_id="", - tool_parameters={"content": '{"name": "John", "age": 30, "city": "New York"}', "json_filter": "$.name"}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/json_process/json_process.yaml b/api/core/tools/provider/builtin/json_process/json_process.yaml deleted file mode 100644 index c7896bbea7a69f..00000000000000 --- a/api/core/tools/provider/builtin/json_process/json_process.yaml +++ /dev/null @@ -1,14 +0,0 @@ -identity: - author: Mingwei Zhang - name: json_process - label: - en_US: JSON Process - zh_Hans: JSON 处理 - pt_BR: JSON Process - description: - en_US: Tools for processing JSON content using jsonpath_ng - zh_Hans: 利用 jsonpath_ng 处理 JSON 内容的工具 - pt_BR: Tools for processing JSON content using jsonpath_ng - icon: icon.svg - tags: - - utilities diff --git a/api/core/tools/provider/builtin/json_process/tools/delete.py b/api/core/tools/provider/builtin/json_process/tools/delete.py deleted file mode 100644 index 06f6cacd5d6126..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/delete.py +++ /dev/null @@ -1,61 +0,0 @@ -import json -from typing import Any, Union - -from jsonpath_ng import parse # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class JSONDeleteTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the JSON delete tool - """ - # Get content - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - # Get query - query = tool_parameters.get("query", "") - if not query: - return self.create_text_message("Invalid parameter query") - - ensure_ascii = tool_parameters.get("ensure_ascii", True) - try: - result = self._delete(content, query, ensure_ascii) - return self.create_text_message(str(result)) - except Exception as e: - return self.create_text_message(f"Failed to delete JSON content: {str(e)}") - - def _delete(self, origin_json: str, query: str, ensure_ascii: bool) -> str: - try: - input_data = json.loads(origin_json) - expr = parse("$." + query.lstrip("$.")) # Ensure query path starts with $ - - matches = expr.find(input_data) - - if not matches: - return json.dumps(input_data, ensure_ascii=ensure_ascii) # No changes if no matches found - - for match in matches: - if isinstance(match.context.value, dict): - # Delete key from dictionary - del match.context.value[match.path.fields[-1]] - elif isinstance(match.context.value, list): - # Remove item from list - match.context.value.remove(match.value) - else: - # For other cases, we might want to set to None or remove the parent key - parent = match.context.parent - if parent: - del parent.value[match.path.fields[-1]] - - return json.dumps(input_data, ensure_ascii=ensure_ascii) - except Exception as e: - raise Exception(f"Delete operation failed: {str(e)}") diff --git a/api/core/tools/provider/builtin/json_process/tools/delete.yaml b/api/core/tools/provider/builtin/json_process/tools/delete.yaml deleted file mode 100644 index 4d390e40d17232..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/delete.yaml +++ /dev/null @@ -1,52 +0,0 @@ -identity: - name: json_delete - author: Mingwei Zhang - label: - en_US: JSON Delete - zh_Hans: JSON 删除 - pt_BR: JSON Delete -description: - human: - en_US: A tool for deleting JSON content - zh_Hans: 一个删除 JSON 内容的工具 - pt_BR: A tool for deleting JSON content - llm: A tool for deleting JSON content -parameters: - - name: content - type: string - required: true - label: - en_US: JSON content - zh_Hans: JSON 内容 - pt_BR: JSON content - human_description: - en_US: JSON content to be processed - zh_Hans: 待处理的 JSON 内容 - pt_BR: JSON content to be processed - llm_description: JSON content to be processed - form: llm - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 查询 - pt_BR: Query - human_description: - en_US: JSONPath query to locate the element to delete - zh_Hans: 用于定位要删除元素的 JSONPath 查询 - pt_BR: JSONPath query to locate the element to delete - llm_description: JSONPath query to locate the element to delete - form: llm - - name: ensure_ascii - type: boolean - default: true - label: - en_US: Ensure ASCII - zh_Hans: 确保 ASCII - pt_BR: Ensure ASCII - human_description: - en_US: Ensure the JSON output is ASCII encoded - zh_Hans: 确保输出的 JSON 是 ASCII 编码 - pt_BR: Ensure the JSON output is ASCII encoded - form: form diff --git a/api/core/tools/provider/builtin/json_process/tools/insert.py b/api/core/tools/provider/builtin/json_process/tools/insert.py deleted file mode 100644 index e825329a6d8f61..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/insert.py +++ /dev/null @@ -1,105 +0,0 @@ -import json -from typing import Any, Union - -from jsonpath_ng import parse # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class JSONParseTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # get content - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - # get query - query = tool_parameters.get("query", "") - if not query: - return self.create_text_message("Invalid parameter query") - - # get new value - new_value = tool_parameters.get("new_value", "") - if not new_value: - return self.create_text_message("Invalid parameter new_value") - - # get insert position - index = tool_parameters.get("index") - - # get create path - create_path = tool_parameters.get("create_path", False) - - # get value decode. - # if true, it will be decoded to an dict - value_decode = tool_parameters.get("value_decode", False) - - ensure_ascii = tool_parameters.get("ensure_ascii", True) - try: - result = self._insert(content, query, new_value, ensure_ascii, value_decode, index, create_path) - return self.create_text_message(str(result)) - except Exception: - return self.create_text_message("Failed to insert JSON content") - - def _insert( - self, origin_json, query, new_value, ensure_ascii: bool, value_decode: bool, index=None, create_path=False - ): - try: - input_data = json.loads(origin_json) - expr = parse(query) - if value_decode is True: - try: - new_value = json.loads(new_value) - except json.JSONDecodeError: - return "Cannot decode new value to json object" - - matches = expr.find(input_data) - - if not matches and create_path: - # create new path - path_parts = query.strip("$").strip(".").split(".") - current = input_data - for i, part in enumerate(path_parts): - if "[" in part and "]" in part: - # process array index - array_name, index = part.split("[") - index = int(index.rstrip("]")) - if array_name not in current: - current[array_name] = [] - while len(current[array_name]) <= index: - current[array_name].append({}) - current = current[array_name][index] - else: - if i == len(path_parts) - 1: - current[part] = new_value - elif part not in current: - current[part] = {} - current = current[part] - else: - for match in matches: - if isinstance(match.value, dict): - # insert new value into dict - if isinstance(new_value, dict): - match.value.update(new_value) - else: - raise ValueError("Cannot insert non-dict value into dict") - elif isinstance(match.value, list): - # insert new value into list - if index is None: - match.value.append(new_value) - else: - match.value.insert(int(index), new_value) - else: - # replace old value with new value - match.full_path.update(input_data, new_value) - - return json.dumps(input_data, ensure_ascii=ensure_ascii) - except Exception as e: - return str(e) diff --git a/api/core/tools/provider/builtin/json_process/tools/insert.yaml b/api/core/tools/provider/builtin/json_process/tools/insert.yaml deleted file mode 100644 index 21b51312dab6b3..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/insert.yaml +++ /dev/null @@ -1,101 +0,0 @@ -identity: - name: json_insert - author: Mingwei Zhang - label: - en_US: JSON Insert - zh_Hans: JSON 插入 - pt_BR: JSON Insert -description: - human: - en_US: A tool for inserting JSON content - zh_Hans: 一个插入 JSON 内容的工具 - pt_BR: A tool for inserting JSON content - llm: A tool for inserting JSON content -parameters: - - name: content - type: string - required: true - label: - en_US: JSON content - zh_Hans: JSON 内容 - pt_BR: JSON content - human_description: - en_US: JSON content - zh_Hans: JSON 内容 - pt_BR: JSON content - llm_description: JSON content to be processed - form: llm - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 查询 - pt_BR: Query - human_description: - en_US: Object to insert - zh_Hans: 待插入的对象 - pt_BR: Object to insert - llm_description: JSONPath query to locate the element to insert - form: llm - - name: new_value - type: string - required: true - label: - en_US: New Value - zh_Hans: 新值 - pt_BR: New Value - human_description: - en_US: New Value - zh_Hans: 插入的新值 - pt_BR: New Value - llm_description: New Value to insert - form: llm - - name: value_decode - type: boolean - default: false - label: - en_US: Decode Value - zh_Hans: 解码值 - pt_BR: Decode Value - human_description: - en_US: Whether to decode the value to a JSON object - zh_Hans: 是否将值解码为 JSON 对象 - pt_BR: Whether to decode the value to a JSON object - form: form - - name: create_path - type: select - required: true - default: "False" - label: - en_US: Whether to create a path - zh_Hans: 是否创建路径 - pt_BR: Whether to create a path - human_description: - en_US: Whether to create a path when the path does not exist - zh_Hans: 查询路径不存在时是否创建路径 - pt_BR: Whether to create a path when the path does not exist - options: - - value: "True" - label: - en_US: "Yes" - zh_Hans: 是 - pt_BR: "Yes" - - value: "False" - label: - en_US: "No" - zh_Hans: 否 - pt_BR: "No" - form: form - - name: ensure_ascii - type: boolean - default: true - label: - en_US: Ensure ASCII - zh_Hans: 确保 ASCII - pt_BR: Ensure ASCII - human_description: - en_US: Ensure the JSON output is ASCII encoded - zh_Hans: 确保输出的 JSON 是 ASCII 编码 - pt_BR: Ensure the JSON output is ASCII encoded - form: form diff --git a/api/core/tools/provider/builtin/json_process/tools/parse.py b/api/core/tools/provider/builtin/json_process/tools/parse.py deleted file mode 100644 index 193017ba9a7c53..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/parse.py +++ /dev/null @@ -1,56 +0,0 @@ -import json -from typing import Any, Union - -from jsonpath_ng import parse # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class JSONParseTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # get content - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - # get json filter - json_filter = tool_parameters.get("json_filter", "") - if not json_filter: - return self.create_text_message("Invalid parameter json_filter") - - ensure_ascii = tool_parameters.get("ensure_ascii", True) - try: - result = self._extract(content, json_filter, ensure_ascii) - return self.create_text_message(str(result)) - except Exception: - return self.create_text_message("Failed to extract JSON content") - - # Extract data from JSON content - def _extract(self, content: str, json_filter: str, ensure_ascii: bool) -> str: - try: - input_data = json.loads(content) - expr = parse(json_filter) - result = [match.value for match in expr.find(input_data)] - - if not result: - return "" - - if len(result) == 1: - result = result[0] - - if isinstance(result, dict | list): - return json.dumps(result, ensure_ascii=ensure_ascii) - elif isinstance(result, str | int | float | bool) or result is None: - return str(result) - else: - return repr(result) - except Exception as e: - return str(e) diff --git a/api/core/tools/provider/builtin/json_process/tools/parse.yaml b/api/core/tools/provider/builtin/json_process/tools/parse.yaml deleted file mode 100644 index c35f4eac0775ad..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/parse.yaml +++ /dev/null @@ -1,52 +0,0 @@ -identity: - name: parse - author: Mingwei Zhang - label: - en_US: JSON Parse - zh_Hans: JSON 解析 - pt_BR: JSON Parse -description: - human: - en_US: A tool for extracting JSON objects - zh_Hans: 一个解析JSON对象的工具 - pt_BR: A tool for extracting JSON objects - llm: A tool for extracting JSON objects -parameters: - - name: content - type: string - required: true - label: - en_US: JSON data - zh_Hans: JSON数据 - pt_BR: JSON data - human_description: - en_US: JSON data - zh_Hans: JSON数据 - pt_BR: JSON数据 - llm_description: JSON data to be processed - form: llm - - name: json_filter - type: string - required: true - label: - en_US: JSON filter - zh_Hans: JSON解析对象 - pt_BR: JSON filter - human_description: - en_US: JSON fields to be parsed - zh_Hans: 需要解析的 JSON 字段 - pt_BR: JSON fields to be parsed - llm_description: JSON fields to be parsed - form: llm - - name: ensure_ascii - type: boolean - default: true - label: - en_US: Ensure ASCII - zh_Hans: 确保 ASCII - pt_BR: Ensure ASCII - human_description: - en_US: Ensure the JSON output is ASCII encoded - zh_Hans: 确保输出的 JSON 是 ASCII 编码 - pt_BR: Ensure the JSON output is ASCII encoded - form: form diff --git a/api/core/tools/provider/builtin/json_process/tools/replace.py b/api/core/tools/provider/builtin/json_process/tools/replace.py deleted file mode 100644 index feca0d8a7c2783..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/replace.py +++ /dev/null @@ -1,129 +0,0 @@ -import json -from typing import Any, Union - -from jsonpath_ng import parse # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class JSONReplaceTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # get content - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - # get query - query = tool_parameters.get("query", "") - if not query: - return self.create_text_message("Invalid parameter query") - - # get replace value - replace_value = tool_parameters.get("replace_value", "") - if not replace_value: - return self.create_text_message("Invalid parameter replace_value") - - # get replace model - replace_model = tool_parameters.get("replace_model", "") - if not replace_model: - return self.create_text_message("Invalid parameter replace_model") - - # get value decode. - # if true, it will be decoded to an dict - value_decode = tool_parameters.get("value_decode", False) - - ensure_ascii = tool_parameters.get("ensure_ascii", True) - try: - if replace_model == "pattern": - # get replace pattern - replace_pattern = tool_parameters.get("replace_pattern", "") - if not replace_pattern: - return self.create_text_message("Invalid parameter replace_pattern") - result = self._replace_pattern( - content, query, replace_pattern, replace_value, ensure_ascii, value_decode - ) - elif replace_model == "key": - result = self._replace_key(content, query, replace_value, ensure_ascii) - elif replace_model == "value": - result = self._replace_value(content, query, replace_value, ensure_ascii, value_decode) - return self.create_text_message(str(result)) - except Exception: - return self.create_text_message("Failed to replace JSON content") - - # Replace pattern - def _replace_pattern( - self, content: str, query: str, replace_pattern: str, replace_value: str, ensure_ascii: bool, value_decode: bool - ) -> str: - try: - input_data = json.loads(content) - expr = parse(query) - - matches = expr.find(input_data) - - for match in matches: - new_value = match.value.replace(replace_pattern, replace_value) - if value_decode is True: - try: - new_value = json.loads(new_value) - except json.JSONDecodeError: - return "Cannot decode replace value to json object" - - match.full_path.update(input_data, new_value) - - return json.dumps(input_data, ensure_ascii=ensure_ascii) - except Exception as e: - return str(e) - - # Replace key - def _replace_key(self, content: str, query: str, replace_value: str, ensure_ascii: bool) -> str: - try: - input_data = json.loads(content) - expr = parse(query) - - matches = expr.find(input_data) - - for match in matches: - parent = match.context.value - if isinstance(parent, dict): - old_key = match.path.fields[0] - if old_key in parent: - value = parent.pop(old_key) - parent[replace_value] = value - elif isinstance(parent, list): - for item in parent: - if isinstance(item, dict) and old_key in item: - value = item.pop(old_key) - item[replace_value] = value - return json.dumps(input_data, ensure_ascii=ensure_ascii) - except Exception as e: - return str(e) - - # Replace value - def _replace_value( - self, content: str, query: str, replace_value: str, ensure_ascii: bool, value_decode: bool - ) -> str: - try: - input_data = json.loads(content) - expr = parse(query) - if value_decode is True: - try: - replace_value = json.loads(replace_value) - except json.JSONDecodeError: - return "Cannot decode replace value to json object" - - matches = expr.find(input_data) - - for match in matches: - match.full_path.update(input_data, replace_value) - - return json.dumps(input_data, ensure_ascii=ensure_ascii) - except Exception as e: - return str(e) diff --git a/api/core/tools/provider/builtin/json_process/tools/replace.yaml b/api/core/tools/provider/builtin/json_process/tools/replace.yaml deleted file mode 100644 index ae238b1fbcd05e..00000000000000 --- a/api/core/tools/provider/builtin/json_process/tools/replace.yaml +++ /dev/null @@ -1,119 +0,0 @@ -identity: - name: json_replace - author: Mingwei Zhang - label: - en_US: JSON Replace - zh_Hans: JSON 替换 - pt_BR: JSON Replace -description: - human: - en_US: A tool for replacing JSON content - zh_Hans: 一个替换 JSON 内容的工具 - pt_BR: A tool for replacing JSON content - llm: A tool for replacing JSON content -parameters: - - name: content - type: string - required: true - label: - en_US: JSON content - zh_Hans: JSON 内容 - pt_BR: JSON content - human_description: - en_US: JSON content - zh_Hans: JSON 内容 - pt_BR: JSON content - llm_description: JSON content to be processed - form: llm - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 查询 - pt_BR: Query - human_description: - en_US: Query - zh_Hans: 查询 - pt_BR: Query - llm_description: JSONPath query to locate the element to replace - form: llm - - name: replace_pattern - type: string - required: false - label: - en_US: String to be replaced - zh_Hans: 待替换字符串 - pt_BR: String to be replaced - human_description: - en_US: String to be replaced - zh_Hans: 待替换字符串 - pt_BR: String to be replaced - llm_description: String to be replaced - form: llm - - name: replace_value - type: string - required: true - label: - en_US: Replace Value - zh_Hans: 替换值 - pt_BR: Replace Value - human_description: - en_US: New Value - zh_Hans: 新值 - pt_BR: New Value - llm_description: New Value to replace - form: llm - - name: value_decode - type: boolean - default: false - label: - en_US: Decode Value - zh_Hans: 解码值 - pt_BR: Decode Value - human_description: - en_US: Whether to decode the value to a JSON object (Does not apply to replace key) - zh_Hans: 是否将值解码为 JSON 对象 (不适用于键替换) - pt_BR: Whether to decode the value to a JSON object (Does not apply to replace key) - form: form - - name: replace_model - type: select - required: true - default: pattern - label: - en_US: Replace Model - zh_Hans: 替换模式 - pt_BR: Replace Model - human_description: - en_US: Replace Model - zh_Hans: 替换模式 - pt_BR: Replace Model - options: - - value: key - label: - en_US: replace key - zh_Hans: 键替换 - pt_BR: replace key - - value: value - label: - en_US: replace value - zh_Hans: 值替换 - pt_BR: replace value - - value: pattern - label: - en_US: replace string - zh_Hans: 字符串替换 - pt_BR: replace string - form: form - - name: ensure_ascii - type: boolean - default: true - label: - en_US: Ensure ASCII - zh_Hans: 确保 ASCII - pt_BR: Ensure ASCII - human_description: - en_US: Ensure the JSON output is ASCII encoded - zh_Hans: 确保输出的 JSON 是 ASCII 编码 - pt_BR: Ensure the JSON output is ASCII encoded - form: form diff --git a/api/core/tools/provider/builtin/judge0ce/_assets/icon.svg b/api/core/tools/provider/builtin/judge0ce/_assets/icon.svg deleted file mode 100644 index 3e7e33da6e8b25..00000000000000 --- a/api/core/tools/provider/builtin/judge0ce/_assets/icon.svg +++ /dev/null @@ -1,21 +0,0 @@ - - - - - - - - - - diff --git a/api/core/tools/provider/builtin/judge0ce/judge0ce.py b/api/core/tools/provider/builtin/judge0ce/judge0ce.py deleted file mode 100644 index 50db74dd9ebced..00000000000000 --- a/api/core/tools/provider/builtin/judge0ce/judge0ce.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.judge0ce.tools.executeCode import ExecuteCodeTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class Judge0CEProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - ExecuteCodeTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "source_code": "print('hello world')", - "language_id": 71, - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/judge0ce/judge0ce.yaml b/api/core/tools/provider/builtin/judge0ce/judge0ce.yaml deleted file mode 100644 index 9ff8aaac6debc6..00000000000000 --- a/api/core/tools/provider/builtin/judge0ce/judge0ce.yaml +++ /dev/null @@ -1,32 +0,0 @@ -identity: - author: Richards Tu - name: judge0ce - label: - en_US: Judge0 CE - zh_Hans: Judge0 CE - pt_BR: Judge0 CE - description: - en_US: Judge0 CE is an open-source code execution system. Support various languages, including C, C++, Java, Python, Ruby, etc. - zh_Hans: Judge0 CE 是一个开源的代码执行系统。支持多种语言，包括 C、C++、Java、Python、Ruby 等。 - pt_BR: Judge0 CE é um sistema de execução de código de código aberto. Suporta várias linguagens, incluindo C, C++, Java, Python, Ruby, etc. - icon: icon.svg - tags: - - utilities - - other -credentials_for_provider: - X-RapidAPI-Key: - type: secret-input - required: true - label: - en_US: RapidAPI Key - zh_Hans: RapidAPI Key - pt_BR: RapidAPI Key - help: - en_US: RapidAPI Key is required to access the Judge0 CE API. - zh_Hans: RapidAPI Key 是访问 Judge0 CE API 所必需的。 - pt_BR: RapidAPI Key é necessário para acessar a API do Judge0 CE. - placeholder: - en_US: Enter your RapidAPI Key - zh_Hans: 输入你的 RapidAPI Key - pt_BR: Insira sua RapidAPI Key - url: https://rapidapi.com/judge0-official/api/judge0-ce diff --git a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.py b/api/core/tools/provider/builtin/judge0ce/tools/executeCode.py deleted file mode 100644 index b8d654ff639575..00000000000000 --- a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.py +++ /dev/null @@ -1,61 +0,0 @@ -import json -from typing import Any, Union - -import requests -from httpx import post - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class ExecuteCodeTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - api_key = self.runtime.credentials["X-RapidAPI-Key"] - - url = "https://judge0-ce.p.rapidapi.com/submissions" - - querystring = {"base64_encoded": "false", "fields": "*"} - - headers = { - "Content-Type": "application/json", - "X-RapidAPI-Key": api_key, - "X-RapidAPI-Host": "judge0-ce.p.rapidapi.com", - } - - payload = { - "language_id": tool_parameters["language_id"], - "source_code": tool_parameters["source_code"], - "stdin": tool_parameters.get("stdin", ""), - "expected_output": tool_parameters.get("expected_output", ""), - "additional_files": tool_parameters.get("additional_files", ""), - } - - response = post(url, data=json.dumps(payload), headers=headers, params=querystring) - - if response.status_code != 201: - raise Exception(response.text) - - token = response.json()["token"] - - url = f"https://judge0-ce.p.rapidapi.com/submissions/{token}" - headers = {"X-RapidAPI-Key": api_key} - - response = requests.get(url, headers=headers) - if response.status_code == 200: - result = response.json() - return self.create_text_message( - text=f"stdout: {result.get('stdout', '')}\n" - f"stderr: {result.get('stderr', '')}\n" - f"compile_output: {result.get('compile_output', '')}\n" - f"message: {result.get('message', '')}\n" - f"status: {result['status']['description']}\n" - f"time: {result.get('time', '')} seconds\n" - f"memory: {result.get('memory', '')} bytes" - ) - else: - return self.create_text_message(text=f"Error retrieving submission details: {response.text}") diff --git a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.yaml b/api/core/tools/provider/builtin/judge0ce/tools/executeCode.yaml deleted file mode 100644 index a8c0776f40185e..00000000000000 --- a/api/core/tools/provider/builtin/judge0ce/tools/executeCode.yaml +++ /dev/null @@ -1,67 +0,0 @@ -identity: - name: submitCodeExecutionTask - author: Richards Tu - label: - en_US: Submit Code Execution Task to Judge0 CE and get execution result. - zh_Hans: 提交代码执行任务到 Judge0 CE 并获取执行结果。 -description: - human: - en_US: A tool for executing code and getting the result. - zh_Hans: 一个用于执行代码并获取结果的工具。 - llm: This tool is used for executing code and getting the result. -parameters: - - name: source_code - type: string - required: true - label: - en_US: Source Code - zh_Hans: 源代码 - human_description: - en_US: The source code to be executed. - zh_Hans: 要执行的源代码。 - llm_description: The source code to be executed. - form: llm - - name: language_id - type: number - required: true - label: - en_US: Language ID - zh_Hans: 语言 ID - human_description: - en_US: The ID of the language in which the source code is written. - zh_Hans: 源代码所使用的语言的 ID。 - llm_description: The ID of the language in which the source code is written. For example, 50 for C++, 71 for Python, etc. - form: llm - - name: stdin - type: string - required: false - label: - en_US: Standard Input - zh_Hans: 标准输入 - human_description: - en_US: The standard input to be provided to the program. - zh_Hans: 提供给程序的标准输入。 - llm_description: The standard input to be provided to the program. Optional. - form: llm - - name: expected_output - type: string - required: false - label: - en_US: Expected Output - zh_Hans: 期望输出 - human_description: - en_US: The expected output of the program. Used for comparison in some scenarios. - zh_Hans: 程序的期望输出。在某些场景下用于比较。 - llm_description: The expected output of the program. Used for comparison in some scenarios. Optional. - form: llm - - name: additional_files - type: string - required: false - label: - en_US: Additional Files - zh_Hans: 附加文件 - human_description: - en_US: Base64 encoded additional files for the submission. - zh_Hans: 提交的 Base64 编码的附加文件。 - llm_description: Base64 encoded additional files for the submission. 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(在多维表格数据表中新增多条记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: records - type: string - required: true - label: - en_US: records - zh_Hans: 记录列表 - human_description: - en_US: | - List of records to be added in this request. Example value: [{"multi-line-text":"text content","single_select":"option 1","date":1674206443000}] - For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure). - zh_Hans: | - 本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - llm_description: | - 本次请求将要新增的记录列表，示例值：[{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_base.py b/api/core/tools/provider/builtin/lark_base/tools/create_base.py deleted file mode 100644 index a857c6ced6f94b..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/create_base.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class CreateBaseTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - name = tool_parameters.get("name") - folder_token = tool_parameters.get("folder_token") - - res = client.create_base(name, folder_token) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_base.yaml b/api/core/tools/provider/builtin/lark_base/tools/create_base.yaml deleted file mode 100644 index e622edf3362ba4..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/create_base.yaml +++ /dev/null @@ -1,42 +0,0 @@ -identity: - name: create_base - author: Doug Lea - label: - en_US: Create Base - zh_Hans: 创建多维表格 -description: - human: - en_US: Create Multidimensional Table in Specified Directory - zh_Hans: 在指定目录下创建多维表格 - llm: A tool for creating a multidimensional table in a specified directory. (在指定目录下创建多维表格) -parameters: - - name: name - type: string - required: false - label: - en_US: name - zh_Hans: 多维表格 App 名字 - human_description: - en_US: | - Name of the multidimensional table App. Example value: "A new multidimensional table". - zh_Hans: 多维表格 App 名字，示例值："一篇新的多维表格"。 - llm_description: 多维表格 App 名字，示例值："一篇新的多维表格"。 - form: llm - - - name: folder_token - type: string - required: false - label: - en_US: folder_token - zh_Hans: 多维表格 App 归属文件夹 - human_description: - en_US: | - Folder where the multidimensional table App belongs. Default is empty, meaning the table will be created in the root directory of the cloud space. Example values: Lf8uf6BoAlWkUfdGtpMjUV0PpZd or https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd. - The folder_token must be an existing folder and supports inputting folder token or folder URL. - zh_Hans: | - 多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Lf8uf6BoAlWkUfdGtpMjUV0PpZd 或者 https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。 - folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。 - llm_description: | - 多维表格 App 归属文件夹。默认为空，表示多维表格将被创建在云空间根目录。示例值: Lf8uf6BoAlWkUfdGtpMjUV0PpZd 或者 https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。 - folder_token 必须是已存在的文件夹，支持输入文件夹 token 或者文件夹 URL。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_table.py b/api/core/tools/provider/builtin/lark_base/tools/create_table.py deleted file mode 100644 index aff7e715b73a73..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/create_table.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class CreateTableTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_name = tool_parameters.get("table_name") - default_view_name = tool_parameters.get("default_view_name") - fields = tool_parameters.get("fields") - - res = client.create_table(app_token, table_name, default_view_name, fields) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/create_table.yaml b/api/core/tools/provider/builtin/lark_base/tools/create_table.yaml deleted file mode 100644 index 8b1007b9a53166..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/create_table.yaml +++ /dev/null @@ -1,61 +0,0 @@ -identity: - name: create_table - author: Doug Lea - label: - en_US: Create Table - zh_Hans: 新增数据表 -description: - human: - en_US: Add a Data Table to Multidimensional Table - zh_Hans: 在多维表格中新增一个数据表 - llm: A tool for adding a data table to a multidimensional table. (在多维表格中新增一个数据表) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_name - type: string - required: true - label: - en_US: Table Name - zh_Hans: 数据表名称 - human_description: - en_US: | - The name of the data table, length range: 1 character to 100 characters. - zh_Hans: 数据表名称，长度范围：1 字符 ～ 100 字符。 - llm_description: 数据表名称，长度范围：1 字符 ～ 100 字符。 - form: llm - - - name: default_view_name - type: string - required: false - label: - en_US: Default View Name - zh_Hans: 默认表格视图的名称 - human_description: - en_US: The name of the default table view, defaults to "Table" if not filled. - zh_Hans: 默认表格视图的名称，不填则默认为"表格"。 - llm_description: 默认表格视图的名称，不填则默认为"表格"。 - form: llm - - - name: fields - type: string - required: true - label: - en_US: Initial Fields - zh_Hans: 初始字段 - human_description: - en_US: | - Initial fields of the data table, format: [ { "field_name": "Multi-line Text","type": 1 },{ "field_name": "Number","type": 2 },{ "field_name": "Single Select","type": 3 },{ "field_name": "Multiple Select","type": 4 },{ "field_name": "Date","type": 5 } ]. For field details, refer to: https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide - zh_Hans: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide - llm_description: 数据表的初始字段，格式为：[{"field_name":"多行文本","type":1},{"field_name":"数字","type":2},{"field_name":"单选","type":3},{"field_name":"多选","type":4},{"field_name":"日期","type":5}]。字段详情参考：https://open.larkoffice.com/document/server-docs/docs/bitable-v1/app-table-field/guide - form: llm diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_records.py b/api/core/tools/provider/builtin/lark_base/tools/delete_records.py deleted file mode 100644 index 1b0a7470505e4d..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/delete_records.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class DeleteRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_id = tool_parameters.get("table_id") - table_name = tool_parameters.get("table_name") - record_ids = tool_parameters.get("record_ids") - - res = client.delete_records(app_token, table_id, table_name, record_ids) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/delete_records.yaml deleted file mode 100644 index c30ebd630ce9d8..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/delete_records.yaml +++ /dev/null @@ -1,86 +0,0 @@ -identity: - name: delete_records - author: Doug Lea - label: - en_US: Delete Records - zh_Hans: 删除多条记录 -description: - human: - en_US: Delete Multiple Records from Multidimensional Table - zh_Hans: 删除多维表格数据表中的多条记录 - llm: A tool for deleting multiple records from a multidimensional table. (删除多维表格数据表中的多条记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: record_ids - type: string - required: true - label: - en_US: Record IDs - zh_Hans: 记录 ID 列表 - human_description: - en_US: | - List of IDs for the records to be deleted, example value: ["recwNXzPQv"]. - zh_Hans: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。 - llm_description: 删除的多条记录 ID 列表，示例值：["recwNXzPQv"]。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.py b/api/core/tools/provider/builtin/lark_base/tools/delete_tables.py deleted file mode 100644 index e0ecae2f175050..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class DeleteTablesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_ids = tool_parameters.get("table_ids") - table_names = tool_parameters.get("table_names") - - res = client.delete_tables(app_token, table_ids, table_names) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.yaml b/api/core/tools/provider/builtin/lark_base/tools/delete_tables.yaml deleted file mode 100644 index 498126eae53302..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/delete_tables.yaml +++ /dev/null @@ -1,49 +0,0 @@ -identity: - name: delete_tables - author: Doug Lea - label: - en_US: Delete Tables - zh_Hans: 删除数据表 -description: - human: - en_US: Batch Delete Data Tables from Multidimensional Table - zh_Hans: 批量删除多维表格中的数据表 - llm: A tool for batch deleting data tables from a multidimensional table. (批量删除多维表格中的数据表) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_ids - type: string - required: false - label: - en_US: Table IDs - zh_Hans: 数据表 ID - human_description: - en_US: | - IDs of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["tbl1TkhyTWDkSoZ3"]. Ensure that either table_ids or table_names is not empty. - zh_Hans: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。 - llm_description: 待删除的数据表的 ID，每次操作最多支持删除 50 个数据表。示例值：["tbl1TkhyTWDkSoZ3"]。请确保 table_ids 和 table_names 至少有一个不为空。 - form: llm - - - name: table_names - type: string - required: false - label: - en_US: Table Names - zh_Hans: 数据表名称 - human_description: - en_US: | - Names of the tables to be deleted. Each operation supports deleting up to 50 tables. Example: ["Table1", "Table2"]. Ensure that either table_names or table_ids is not empty. - zh_Hans: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。 - llm_description: 待删除的数据表的名称，每次操作最多支持删除 50 个数据表。示例值：["数据表1", "数据表2"]。请确保 table_names 和 table_ids 至少有一个不为空。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.py b/api/core/tools/provider/builtin/lark_base/tools/get_base_info.py deleted file mode 100644 index 2c23248b88765a..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class GetBaseInfoTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - - res = client.get_base_info(app_token) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.yaml b/api/core/tools/provider/builtin/lark_base/tools/get_base_info.yaml deleted file mode 100644 index eb0e7a26c06a55..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/get_base_info.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: get_base_info - author: Doug Lea - label: - en_US: Get Base Info - zh_Hans: 获取多维表格元数据 -description: - human: - en_US: Get Metadata Information of Specified Multidimensional Table - zh_Hans: 获取指定多维表格的元数据信息 - llm: A tool for getting metadata information of a specified multidimensional table. (获取指定多维表格的元数据信息) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_base/tools/list_tables.py b/api/core/tools/provider/builtin/lark_base/tools/list_tables.py deleted file mode 100644 index 55b706854b2735..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/list_tables.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ListTablesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - page_token = tool_parameters.get("page_token") - page_size = tool_parameters.get("page_size", 20) - - res = client.list_tables(app_token, page_token, page_size) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/list_tables.yaml b/api/core/tools/provider/builtin/lark_base/tools/list_tables.yaml deleted file mode 100644 index 7571519039bd24..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/list_tables.yaml +++ /dev/null @@ -1,50 +0,0 @@ -identity: - name: list_tables - author: Doug Lea - label: - en_US: List Tables - zh_Hans: 列出数据表 -description: - human: - en_US: Get All Data Tables under Multidimensional Table - zh_Hans: 获取多维表格下的所有数据表 - llm: A tool for getting all data tables under a multidimensional table. (获取多维表格下的所有数据表) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: page_size - zh_Hans: 分页大小 - human_description: - en_US: | - Page size, default value: 20, maximum value: 100. - zh_Hans: 分页大小，默认值：20，最大值：100。 - llm_description: 分页大小，默认值：20，最大值：100。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: page_token - zh_Hans: 分页标记 - human_description: - en_US: | - Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW". - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_base/tools/read_records.py b/api/core/tools/provider/builtin/lark_base/tools/read_records.py deleted file mode 100644 index 5cf25aad848dfa..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/read_records.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ReadRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_id = tool_parameters.get("table_id") - table_name = tool_parameters.get("table_name") - record_ids = tool_parameters.get("record_ids") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_records(app_token, table_id, table_name, record_ids, user_id_type) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/read_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/read_records.yaml deleted file mode 100644 index 911e667cfc90ad..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/read_records.yaml +++ /dev/null @@ -1,86 +0,0 @@ -identity: - name: read_records - author: Doug Lea - label: - en_US: Read Records - zh_Hans: 批量获取记录 -description: - human: - en_US: Batch Retrieve Records from Multidimensional Table - zh_Hans: 批量获取多维表格数据表中的记录信息 - llm: A tool for batch retrieving records from a multidimensional table, supporting up to 100 records per call. (批量获取多维表格数据表中的记录信息，单次调用最多支持查询 100 条记录) - -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: record_ids - type: string - required: true - label: - en_US: record_ids - zh_Hans: 记录 ID 列表 - human_description: - en_US: List of record IDs, which can be obtained by calling the "Query Records API". - zh_Hans: 记录 ID 列表，可以通过调用"查询记录接口"获取。 - llm_description: 记录 ID 列表，可以通过调用"查询记录接口"获取。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/lark_base/tools/search_records.py b/api/core/tools/provider/builtin/lark_base/tools/search_records.py deleted file mode 100644 index 9b0abcf067951a..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/search_records.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class SearchRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_id = tool_parameters.get("table_id") - table_name = tool_parameters.get("table_name") - view_id = tool_parameters.get("view_id") - field_names = tool_parameters.get("field_names") - sort = tool_parameters.get("sort") - filters = tool_parameters.get("filter") - page_token = tool_parameters.get("page_token") - automatic_fields = tool_parameters.get("automatic_fields", False) - user_id_type = tool_parameters.get("user_id_type", "open_id") - page_size = tool_parameters.get("page_size", 20) - - res = client.search_record( - app_token, - table_id, - table_name, - view_id, - field_names, - sort, - filters, - page_token, - automatic_fields, - user_id_type, - page_size, - ) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/search_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/search_records.yaml deleted file mode 100644 index edd86ab9d69686..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/search_records.yaml +++ /dev/null @@ -1,163 +0,0 @@ -identity: - name: search_records - author: Doug Lea - label: - en_US: Search Records - zh_Hans: 查询记录 -description: - human: - en_US: Query records in a multidimensional table, up to 500 rows per query. - zh_Hans: 查询多维表格数据表中的记录，单次最多查询 500 行记录。 - llm: A tool for querying records in a multidimensional table, up to 500 rows per query. (查询多维表格数据表中的记录，单次最多查询 500 行记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: view_id - type: string - required: false - label: - en_US: view_id - zh_Hans: 视图唯一标识 - human_description: - en_US: | - Unique identifier for a view in a multidimensional table. It can be found in the URL's query parameter with the key 'view'. For example: https://lark-japan.jp.larksuite.com/base/XXX0bfYEraW5OWsbhcFjEqj6pxh?table=tbl5I6jqwz8wBRMv&view=vewW5zXVEU. - zh_Hans: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://lark-japan.jp.larksuite.com/base/XXX0bfYEraW5OWsbhcFjEqj6pxh?table=tbl5I6jqwz8wBRMv&view=vewW5zXVEU。 - llm_description: 多维表格中视图的唯一标识，可在多维表格的 URL 地址栏中找到，query 参数中 key 为 view 的部分。例如：https://lark-japan.jp.larksuite.com/base/XXX0bfYEraW5OWsbhcFjEqj6pxh?table=tbl5I6jqwz8wBRMv&view=vewW5zXVEU。 - form: llm - - - name: field_names - type: string - required: false - label: - en_US: field_names - zh_Hans: 字段名称 - human_description: - en_US: | - Field names to specify which fields to include in the returned records. Example value: ["Field1", "Field2"]. - zh_Hans: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。 - llm_description: 字段名称，用于指定本次查询返回记录中包含的字段。示例值：["字段1","字段2"]。 - form: llm - - - name: sort - type: string - required: false - label: - en_US: sort - zh_Hans: 排序条件 - human_description: - en_US: | - Sorting conditions, for example: [{"field_name":"Multiline Text","desc":true}]. - zh_Hans: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。 - llm_description: 排序条件，例如：[{"field_name":"多行文本","desc":true}]。 - form: llm - - - name: filter - type: string - required: false - label: - en_US: filter - zh_Hans: 筛选条件 - human_description: - en_US: Object containing filter information. For details on how to fill in the filter, refer to the record filter parameter guide (https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide). - zh_Hans: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。 - llm_description: 包含条件筛选信息的对象。了解如何填写 filter，参考记录筛选参数填写指南(https://open.larkoffice.com/document/uAjLw4CM/ukTMukTMukTM/reference/bitable-v1/app-table-record/record-filter-guide)。 - form: llm - - - name: automatic_fields - type: boolean - required: false - label: - en_US: automatic_fields - zh_Hans: automatic_fields - human_description: - en_US: Whether to return automatically calculated fields. Default is false, meaning they are not returned. - zh_Hans: 是否返回自动计算的字段。默认为 false，表示不返回。 - llm_description: 是否返回自动计算的字段。默认为 false，表示不返回。 - form: form - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: page_size - zh_Hans: 分页大小 - human_description: - en_US: | - Page size, default value: 20, maximum value: 500. - zh_Hans: 分页大小，默认值：20，最大值：500。 - llm_description: 分页大小，默认值：20，最大值：500。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: page_token - zh_Hans: 分页标记 - human_description: - en_US: | - Page token, leave empty for the first request to start from the beginning; a new page_token will be returned if there are more items in the paginated query results, which can be used for the next traversal. Example value: "tblsRc9GRRXKqhvW". - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。示例值："tblsRc9GRRXKqhvW"。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_base/tools/update_records.py b/api/core/tools/provider/builtin/lark_base/tools/update_records.py deleted file mode 100644 index 7c263df2bb031c..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/update_records.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class UpdateRecordsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - app_token = tool_parameters.get("app_token") - table_id = tool_parameters.get("table_id") - table_name = tool_parameters.get("table_name") - records = tool_parameters.get("records") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.update_records(app_token, table_id, table_name, records, user_id_type) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_base/tools/update_records.yaml b/api/core/tools/provider/builtin/lark_base/tools/update_records.yaml deleted file mode 100644 index 68117e71367892..00000000000000 --- a/api/core/tools/provider/builtin/lark_base/tools/update_records.yaml +++ /dev/null @@ -1,91 +0,0 @@ -identity: - name: update_records - author: Doug Lea - label: - en_US: Update Records - zh_Hans: 更新多条记录 -description: - human: - en_US: Update Multiple Records in Multidimensional Table - zh_Hans: 更新多维表格数据表中的多条记录 - llm: A tool for updating multiple records in a multidimensional table. (更新多维表格数据表中的多条记录) -parameters: - - name: app_token - type: string - required: true - label: - en_US: app_token - zh_Hans: app_token - human_description: - en_US: Unique identifier for the multidimensional table, supports inputting document URL. - zh_Hans: 多维表格的唯一标识符，支持输入文档 URL。 - llm_description: 多维表格的唯一标识符，支持输入文档 URL。 - form: llm - - - name: table_id - type: string - required: false - label: - en_US: table_id - zh_Hans: table_id - human_description: - en_US: Unique identifier for the multidimensional table data, either table_id or table_name must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的唯一标识符，table_id 和 table_name 至少需要提供一个，不能同时为空。 - form: llm - - - name: table_name - type: string - required: false - label: - en_US: table_name - zh_Hans: table_name - human_description: - en_US: Name of the multidimensional table data, either table_name or table_id must be provided, cannot be empty simultaneously. - zh_Hans: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - llm_description: 多维表格数据表的名称，table_name 和 table_id 至少需要提供一个，不能同时为空。 - form: llm - - - name: records - type: string - required: true - label: - en_US: records - zh_Hans: 记录列表 - human_description: - en_US: | - List of records to be updated in this request. Example value: [{"fields":{"multi-line-text":"text content","single_select":"option 1","date":1674206443000},"record_id":"recupK4f4RM5RX"}]. - For supported field types, refer to the integration guide (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification). For data structures of different field types, refer to the data structure overview (https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure). - zh_Hans: | - 本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - llm_description: | - 本次请求将要更新的记录列表，示例值：[{"fields":{"多行文本":"文本内容","单选":"选项 1","日期":1674206443000},"record_id":"recupK4f4RM5RX"}]。 - 当前接口支持的字段类型请参考接入指南(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/notification)，不同类型字段的数据结构请参考数据结构概述(https://open.larkoffice.com/document/server-docs/docs/bitable-v1/bitable-structure)。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/lark_calendar/_assets/icon.png b/api/core/tools/provider/builtin/lark_calendar/_assets/icon.png deleted file mode 100644 index 2a934747a98c6680065941bcd31d2400da1eaf23..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5488 zcmd^@S6CClyT+3cB}hx?J%AJ?fE0mHMQMV8&_R?YO?nelY7hlNk>0Cxkg60F3{fc} zH9!DCT0jJ80tr>&_S<*on|*iYn;+KLNRROn&m{l=z^H#)+mzb= z`Og8lNIh#4qnG3;S|irW=|=l}|xX42D3f ziFX7+o4)i%ZwLZ_Wy~1N7x0X<1J061*y29gfDyJ2fUTeVMQPHq7@KLU>F~{ov1emn zTTR^lX{pNZoq%B_m`)+II}6z;t*n3|MoU1jS;dIL*?`4jeJEOe)(8nc{{SYk($W#)H9s-F>-9L)q>vds%qH zkcrltA7vCoxnI4*96v@UvWzE-7Cx7P{&@x%&*6D0Sj%Vv92rJtf5apSYHAh%#><`< z2e{f;;;o92hA{8!WL}P&cvjHhvd7BO#hQoR;KbjEOqS{00syPkr2de>038=`YCj_O zPd5aDqo-cUk32YjA+$q>s&#{_U4>P|VUB0oV{Y#n(#1N^fI)(I^SU~-b7vfzi7wtM z^w6|?o(Z6K3k;+Kp}J2e-ZCfW^Q6Q6wEFUk_k^MfZ-zo4F__Xr;-SE%Op=u@zWCtx zh*)#))OFs6a3XAAOzW2 zaQQ(p)m{RktgoK`-$50pJaB2=3&M;Z< z9qKSBQXoHQsl&j0SDWDz3kDNys17>(|0S{QY(fc-ee#?BF<;wCO^An-3EEzIBkWv} zKsIk^KKf7o0v7 zo)OJwp1u-Fzm8t+m$NYP78%(2mN{nOOaPn7rk52RKXip9_VJ&iy2 z(`YX=^0A&q8oV%!9lT#qgwn1%Cj_27!_4MD;@oHK;g{)Qou*`7VPiE&kMQBhO8^r17_RKNU12a>1wxuj`0t0s!bY)4s! 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zff+|)Lp1?l9x4YU$o~%vPtYMYop$Ob0Hh25UxJ56k@&OI*n~FT87e{r=<671H{5b~ F_Fv-s=P3XH diff --git a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.py b/api/core/tools/provider/builtin/lark_calendar/lark_calendar.py deleted file mode 100644 index 871de69cc15b39..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.lark_api_utils import lark_auth - - -class LarkCalendarProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - lark_auth(credentials) diff --git a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.yaml b/api/core/tools/provider/builtin/lark_calendar/lark_calendar.yaml deleted file mode 100644 index 72c41e36c0ebd3..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/lark_calendar.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: lark_calendar - label: - en_US: Lark Calendar - zh_Hans: Lark 日历 - description: - en_US: | - Lark calendar, requires the following permissions: calendar:calendar:read、calendar:calendar、contact:user.id:readonly. - zh_Hans: | - Lark 日历，需要开通以下权限: calendar:calendar:read、calendar:calendar、contact:user.id:readonly。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your Lark app id - zh_Hans: 请输入你的 Lark app id - help: - en_US: Get your app_id and app_secret from Lark - zh_Hans: 从 Lark 获取您的 app_id 和 app_secret - url: https://open.larksuite.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的 Lark app secret diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.py b/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.py deleted file mode 100644 index f5929893ddfe24..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class AddEventAttendeesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - event_id = tool_parameters.get("event_id") - attendee_phone_or_email = tool_parameters.get("attendee_phone_or_email") - need_notification = tool_parameters.get("need_notification", True) - - res = client.add_event_attendees(event_id, attendee_phone_or_email, need_notification) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.yaml deleted file mode 100644 index 9d7a1319072d6f..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/add_event_attendees.yaml +++ /dev/null @@ -1,54 +0,0 @@ -identity: - name: add_event_attendees - author: Doug Lea - label: - en_US: Add Event Attendees - zh_Hans: 添加日程参会人 -description: - human: - en_US: Add Event Attendees - zh_Hans: 添加日程参会人 - llm: A tool for adding attendees to events in Lark. (在 Lark 中添加日程参会人) -parameters: - - name: event_id - type: string - required: true - label: - en_US: Event ID - zh_Hans: 日程 ID - human_description: - en_US: | - The ID of the event, which will be returned when the event is created. For example: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0. - zh_Hans: | - 创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。 - llm_description: | - 日程 ID，创建日程时会返回日程 ID。例如: fb2a6406-26d6-4c8d-a487-6f0246c94d2f_0。 - form: llm - - - name: need_notification - type: boolean - required: false - default: true - label: - en_US: Need Notification - zh_Hans: 是否需要通知 - human_description: - en_US: | - Whether to send a Bot notification to attendees. true: send, false: do not send. - zh_Hans: | - 是否给参与人发送 Bot 通知，true: 发送，false: 不发送。 - llm_description: | - 是否给参与人发送 Bot 通知，true: 发送，false: 不发送。 - form: form - - - name: attendee_phone_or_email - type: string - required: true - label: - en_US: Attendee Phone or Email - zh_Hans: 参会人电话或邮箱 - human_description: - en_US: The list of attendee emails or phone numbers, separated by commas. - zh_Hans: 日程参会人邮箱或者手机号列表，使用逗号分隔。 - llm_description: 日程参会人邮箱或者手机号列表，使用逗号分隔。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.py b/api/core/tools/provider/builtin/lark_calendar/tools/create_event.py deleted file mode 100644 index 8a0726008c3f8b..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.py +++ /dev/null @@ -1,26 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class CreateEventTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - summary = tool_parameters.get("summary") - description = tool_parameters.get("description") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - attendee_ability = tool_parameters.get("attendee_ability") - need_notification = tool_parameters.get("need_notification", True) - auto_record = tool_parameters.get("auto_record", False) - - res = client.create_event( - summary, description, start_time, end_time, attendee_ability, need_notification, auto_record - ) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/create_event.yaml deleted file mode 100644 index b738736e630fa5..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/create_event.yaml +++ /dev/null @@ -1,119 +0,0 @@ -identity: - name: create_event - author: Doug Lea - label: - en_US: Create Event - zh_Hans: 创建日程 -description: - human: - en_US: Create Event - zh_Hans: 创建日程 - llm: A tool for creating events in Lark.(创建 Lark 日程) -parameters: - - name: summary - type: string - required: false - label: - en_US: Summary - zh_Hans: 日程标题 - human_description: - en_US: The title of the event. If not filled, the event title will display (No Subject). - zh_Hans: 日程标题，若不填则日程标题显示 (无主题)。 - llm_description: 日程标题，若不填则日程标题显示 (无主题)。 - form: llm - - - name: description - type: string - required: false - label: - en_US: Description - zh_Hans: 日程描述 - human_description: - en_US: The description of the event. - zh_Hans: 日程描述。 - llm_description: 日程描述。 - form: llm - - - name: need_notification - type: boolean - required: false - default: true - label: - en_US: Need Notification - zh_Hans: 是否发送通知 - human_description: - en_US: | - Whether to send a bot message when the event is created, true: send, false: do not send. - zh_Hans: 创建日程时是否发送 bot 消息，true：发送，false：不发送。 - llm_description: 创建日程时是否发送 bot 消息，true：发送，false：不发送。 - form: form - - - name: start_time - type: string - required: true - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。 - llm_description: 日程开始时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: true - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。 - llm_description: 日程结束时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: attendee_ability - type: select - required: false - options: - - value: none - label: - en_US: none - zh_Hans: 无 - - value: can_see_others - label: - en_US: can_see_others - zh_Hans: 可以查看参与人列表 - - value: can_invite_others - label: - en_US: can_invite_others - zh_Hans: 可以邀请其它参与人 - - value: can_modify_event - label: - en_US: can_modify_event - zh_Hans: 可以编辑日程 - default: "none" - label: - en_US: attendee_ability - zh_Hans: 参会人权限 - human_description: - en_US: Attendee ability, optional values are none, can_see_others, can_invite_others, can_modify_event, with a default value of none. - zh_Hans: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。 - llm_description: 参会人权限，可选值有无、可以查看参与人列表、可以邀请其它参与人、可以编辑日程，默认值为无。 - form: form - - - name: auto_record - type: boolean - required: false - default: false - label: - en_US: Auto Record - zh_Hans: 自动录制 - human_description: - en_US: | - Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled. - zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - form: form diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.py b/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.py deleted file mode 100644 index 0e4ceac5e5d070..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class DeleteEventTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - event_id = tool_parameters.get("event_id") - need_notification = tool_parameters.get("need_notification", True) - - res = client.delete_event(event_id, need_notification) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.yaml deleted file mode 100644 index cdd6d7e1bb024a..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/delete_event.yaml +++ /dev/null @@ -1,38 +0,0 @@ -identity: - name: delete_event - author: Doug Lea - label: - en_US: Delete Event - zh_Hans: 删除日程 -description: - human: - en_US: Delete Event - zh_Hans: 删除日程 - llm: A tool for deleting events in Lark.(在 Lark 中删除日程) -parameters: - - name: event_id - type: string - required: true - label: - en_US: Event ID - zh_Hans: 日程 ID - human_description: - en_US: | - The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0. - zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - form: llm - - - name: need_notification - type: boolean - required: false - default: true - label: - en_US: Need Notification - zh_Hans: 是否需要通知 - human_description: - en_US: | - Indicates whether to send bot notifications to event participants upon deletion. true: send, false: do not send. - zh_Hans: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。 - llm_description: 删除日程是否给日程参与人发送 bot 通知，true：发送，false：不发送。 - form: form diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.py b/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.py deleted file mode 100644 index d315bf35f05d98..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class GetPrimaryCalendarTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.get_primary_calendar(user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.yaml deleted file mode 100644 index fe615947700995..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/get_primary_calendar.yaml +++ /dev/null @@ -1,37 +0,0 @@ -identity: - name: get_primary_calendar - author: Doug Lea - label: - en_US: Get Primary Calendar - zh_Hans: 查询主日历信息 -description: - human: - en_US: Get Primary Calendar - zh_Hans: 查询主日历信息 - llm: A tool for querying primary calendar information in Lark.(在 Lark 中查询主日历信息) -parameters: - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.py b/api/core/tools/provider/builtin/lark_calendar/tools/list_events.py deleted file mode 100644 index d74cc049d34230..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ListEventsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - page_token = tool_parameters.get("page_token") - page_size = tool_parameters.get("page_size") - - res = client.list_events(start_time, end_time, page_token, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/list_events.yaml deleted file mode 100644 index cef332f5272e55..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/list_events.yaml +++ /dev/null @@ -1,62 +0,0 @@ -identity: - name: list_events - author: Doug Lea - label: - en_US: List Events - zh_Hans: 获取日程列表 -description: - human: - en_US: List Events - zh_Hans: 获取日程列表 - llm: A tool for listing events in Lark.(在 Lark 中获取日程列表) -parameters: - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: page_size - type: number - required: false - default: 50 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 50, and the value range is [50,1000]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 50，取值范围为 [50,1000]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.py b/api/core/tools/provider/builtin/lark_calendar/tools/search_events.py deleted file mode 100644 index a20038e47dd430..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class SearchEventsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - query = tool_parameters.get("query") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - page_token = tool_parameters.get("page_token") - user_id_type = tool_parameters.get("user_id_type", "open_id") - page_size = tool_parameters.get("page_size", 20) - - res = client.search_events(query, start_time, end_time, page_token, user_id_type, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/search_events.yaml deleted file mode 100644 index 4d4f8819c11e4d..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/search_events.yaml +++ /dev/null @@ -1,100 +0,0 @@ -identity: - name: search_events - author: Doug Lea - label: - en_US: Search Events - zh_Hans: 搜索日程 -description: - human: - en_US: Search Events - zh_Hans: 搜索日程 - llm: A tool for searching events in Lark.(在 Lark 中搜索日程) -parameters: - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 搜索关键字 - human_description: - en_US: The search keyword used for fuzzy searching event names, with a maximum input of 200 characters. - zh_Hans: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。 - llm_description: 用于模糊查询日程名称的搜索关键字，最大输入 200 字符。 - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time, defaults to 0:00 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - llm_description: 开始时间，不传值时默认当天 0 点时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time, defaults to 23:59 of the current day if not provided, format: 2006-01-02 15:04:05. - zh_Hans: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - llm_description: 结束时间，不传值时默认当天 23:59 分时间，格式为:2006-01-02 15:04:05。 - form: llm - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [10,100]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [10,100]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.py b/api/core/tools/provider/builtin/lark_calendar/tools/update_event.py deleted file mode 100644 index a04029377f6799..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.py +++ /dev/null @@ -1,24 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class UpdateEventTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - event_id = tool_parameters.get("event_id") - summary = tool_parameters.get("summary") - description = tool_parameters.get("description") - need_notification = tool_parameters.get("need_notification", True) - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - auto_record = tool_parameters.get("auto_record", False) - - res = client.update_event(event_id, summary, description, need_notification, start_time, end_time, auto_record) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.yaml b/api/core/tools/provider/builtin/lark_calendar/tools/update_event.yaml deleted file mode 100644 index b9992e5b03f944..00000000000000 --- a/api/core/tools/provider/builtin/lark_calendar/tools/update_event.yaml +++ /dev/null @@ -1,100 +0,0 @@ -identity: - name: update_event - author: Doug Lea - label: - en_US: Update Event - zh_Hans: 更新日程 -description: - human: - en_US: Update Event - zh_Hans: 更新日程 - llm: A tool for updating events in Lark.(更新 Lark 中的日程) -parameters: - - name: event_id - type: string - required: true - label: - en_US: Event ID - zh_Hans: 日程 ID - human_description: - en_US: | - The ID of the event, for example: e8b9791c-39ae-4908-8ad8-66b13159b9fb_0. - zh_Hans: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - llm_description: 日程 ID，例如：e8b9791c-39ae-4908-8ad8-66b13159b9fb_0。 - form: llm - - - name: summary - type: string - required: false - label: - en_US: Summary - zh_Hans: 日程标题 - human_description: - en_US: The title of the event. - zh_Hans: 日程标题。 - llm_description: 日程标题。 - form: llm - - - name: description - type: string - required: false - label: - en_US: Description - zh_Hans: 日程描述 - human_description: - en_US: The description of the event. - zh_Hans: 日程描述。 - llm_description: 日程描述。 - form: llm - - - name: need_notification - type: boolean - required: false - label: - en_US: Need Notification - zh_Hans: 是否发送通知 - human_description: - en_US: | - Whether to send a bot message when the event is updated, true: send, false: do not send. - zh_Hans: 更新日程时是否发送 bot 消息，true：发送，false：不发送。 - llm_description: 更新日程时是否发送 bot 消息，true：发送，false：不发送。 - form: form - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 开始时间 - human_description: - en_US: | - The start time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程开始时间，格式：2006-01-02 15:04:05。 - llm_description: 日程开始时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: | - The end time of the event, format: 2006-01-02 15:04:05. - zh_Hans: 日程结束时间，格式：2006-01-02 15:04:05。 - llm_description: 日程结束时间，格式：2006-01-02 15:04:05。 - form: llm - - - name: auto_record - type: boolean - required: false - label: - en_US: Auto Record - zh_Hans: 自动录制 - human_description: - en_US: | - Whether to enable automatic recording, true: enabled, automatically record when the meeting starts; false: not enabled. - zh_Hans: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - llm_description: 是否开启自动录制，true：开启，会议开始后自动录制；false：不开启。 - form: form diff --git a/api/core/tools/provider/builtin/lark_document/_assets/icon.svg b/api/core/tools/provider/builtin/lark_document/_assets/icon.svg deleted file mode 100644 index 5a0a6416b3db32..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/_assets/icon.svg +++ /dev/null @@ -1,9 +0,0 @@ - - - - - - - - - diff --git a/api/core/tools/provider/builtin/lark_document/lark_document.py b/api/core/tools/provider/builtin/lark_document/lark_document.py deleted file mode 100644 index b1283276028361..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/lark_document.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.lark_api_utils import lark_auth - - -class LarkDocumentProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - lark_auth(credentials) diff --git a/api/core/tools/provider/builtin/lark_document/lark_document.yaml b/api/core/tools/provider/builtin/lark_document/lark_document.yaml deleted file mode 100644 index 0cb4ae1d62d3f8..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/lark_document.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: lark_document - label: - en_US: Lark Cloud Document - zh_Hans: Lark 云文档 - description: - en_US: | - Lark cloud document, requires the following permissions: docx:document、drive:drive、docs:document.content:read. - zh_Hans: | - Lark 云文档，需要开通以下权限: docx:document、drive:drive、docs:document.content:read。 - icon: icon.svg - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your Lark app id - zh_Hans: 请输入你的 Lark app id - help: - en_US: Get your app_id and app_secret from Lark - zh_Hans: 从 Lark 获取您的 app_id 和 app_secret - url: https://open.larksuite.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的 Lark app secret diff --git a/api/core/tools/provider/builtin/lark_document/tools/create_document.py b/api/core/tools/provider/builtin/lark_document/tools/create_document.py deleted file mode 100644 index 2b1dae0db5578c..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/create_document.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class CreateDocumentTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - title = tool_parameters.get("title") - content = tool_parameters.get("content") - folder_token = tool_parameters.get("folder_token") - - res = client.create_document(title, content, folder_token) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_document/tools/create_document.yaml b/api/core/tools/provider/builtin/lark_document/tools/create_document.yaml deleted file mode 100644 index 37a1e23041c6c9..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/create_document.yaml +++ /dev/null @@ -1,48 +0,0 @@ -identity: - name: create_document - author: Doug Lea - label: - en_US: Create Lark document - zh_Hans: 创建 Lark 文档 -description: - human: - en_US: Create Lark document - zh_Hans: 创建 Lark 文档，支持创建空文档和带内容的文档，支持 markdown 语法创建。应用需要开启机器人能力(https://open.larksuite.com/document/faq/trouble-shooting/how-to-enable-bot-ability)。 - llm: A tool for creating Lark documents. -parameters: - - name: title - type: string - required: false - label: - en_US: Document title - zh_Hans: 文档标题 - human_description: - en_US: Document title, only supports plain text content. - zh_Hans: 文档标题，只支持纯文本内容。 - llm_description: 文档标题，只支持纯文本内容，可以为空。 - form: llm - - - name: content - type: string - required: false - label: - en_US: Document content - zh_Hans: 文档内容 - human_description: - en_US: Document content, supports markdown syntax, can be empty. - zh_Hans: 文档内容，支持 markdown 语法，可以为空。 - llm_description: 文档内容，支持 markdown 语法，可以为空。 - form: llm - - - name: folder_token - type: string - required: false - label: - en_US: folder_token - zh_Hans: 文档所在文件夹的 Token - human_description: - en_US: | - The token of the folder where the document is located. If it is not passed or is empty, it means the root directory. For Example: https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd - zh_Hans: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。 - llm_description: 文档所在文件夹的 Token，不传或传空表示根目录。例如：https://lark-japan.jp.larksuite.com/drive/folder/Lf8uf6BoAlWkUfdGtpMjUV0PpZd。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.py b/api/core/tools/provider/builtin/lark_document/tools/get_document_content.py deleted file mode 100644 index d15211b57e7a76..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class GetDocumentRawContentTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - document_id = tool_parameters.get("document_id") - mode = tool_parameters.get("mode", "markdown") - lang = tool_parameters.get("lang", "0") - - res = client.get_document_content(document_id, mode, lang) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.yaml b/api/core/tools/provider/builtin/lark_document/tools/get_document_content.yaml deleted file mode 100644 index fd6a033bfd6947..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/get_document_content.yaml +++ /dev/null @@ -1,70 +0,0 @@ -identity: - name: get_document_content - author: Doug Lea - label: - en_US: Get Lark Cloud Document Content - zh_Hans: 获取 Lark 云文档的内容 -description: - human: - en_US: Get lark cloud document content - zh_Hans: 获取 Lark 云文档的内容 - llm: A tool for retrieving content from Lark cloud documents. -parameters: - - name: document_id - type: string - required: true - label: - en_US: document_id - zh_Hans: Lark 文档的唯一标识 - human_description: - en_US: Unique identifier for a Lark document. You can also input the document's URL. - zh_Hans: Lark 文档的唯一标识，支持输入文档的 URL。 - llm_description: Lark 文档的唯一标识，支持输入文档的 URL。 - form: llm - - - name: mode - type: select - required: false - options: - - value: text - label: - en_US: text - zh_Hans: text - - value: markdown - label: - en_US: markdown - zh_Hans: markdown - default: "markdown" - label: - en_US: mode - zh_Hans: 文档返回格式 - human_description: - en_US: Format of the document return, optional values are text, markdown, can be empty, default is markdown. - zh_Hans: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。 - llm_description: 文档返回格式，可选值有 text、markdown，可以为空，默认值为 markdown。 - form: form - - - name: lang - type: select - required: false - options: - - value: "0" - label: - en_US: User's default name - zh_Hans: 用户的默认名称 - - value: "1" - label: - en_US: User's English name - zh_Hans: 用户的英文名称 - default: "0" - label: - en_US: lang - zh_Hans: 指定@用户的语言 - human_description: - en_US: | - Specifies the language for MentionUser, optional values are [0, 1]. 0: User's default name, 1: User's English name, default is 0. - zh_Hans: | - 指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。 - llm_description: | - 指定返回的 MentionUser，即@用户的语言，可选值有 [0,1]。0: 该用户的默认名称，1: 该用户的英文名称，默认值为 0。 - form: form diff --git a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.py b/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.py deleted file mode 100644 index b96a87489e055e..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ListDocumentBlockTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - document_id = tool_parameters.get("document_id") - page_token = tool_parameters.get("page_token", "") - user_id_type = tool_parameters.get("user_id_type", "open_id") - page_size = tool_parameters.get("page_size", 500) - - res = client.list_document_blocks(document_id, page_token, user_id_type, page_size) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.yaml b/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.yaml deleted file mode 100644 index 08b673e0ae3ddc..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/list_document_blocks.yaml +++ /dev/null @@ -1,74 +0,0 @@ -identity: - name: list_document_blocks - author: Doug Lea - label: - en_US: List Lark Document Blocks - zh_Hans: 获取 Lark 文档所有块 -description: - human: - en_US: List lark document blocks - zh_Hans: 获取 Lark 文档所有块的富文本内容并分页返回 - llm: A tool to get all blocks of Lark documents -parameters: - - name: document_id - type: string - required: true - label: - en_US: document_id - zh_Hans: Lark 文档的唯一标识 - human_description: - en_US: Unique identifier for a Lark document. You can also input the document's URL. - zh_Hans: Lark 文档的唯一标识，支持输入文档的 URL。 - llm_description: Lark 文档的唯一标识，支持输入文档的 URL。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: page_size - type: number - required: false - default: 500 - label: - en_US: page_size - zh_Hans: 分页大小 - human_description: - en_US: Paging size, the default and maximum value is 500. - zh_Hans: 分页大小, 默认值和最大值为 500。 - llm_description: 分页大小, 表示一次请求最多返回多少条数据，默认值和最大值为 500。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: page_token - zh_Hans: 分页标记 - human_description: - en_US: Pagination token used to navigate through query results, allowing retrieval of additional items in subsequent requests. - zh_Hans: 分页标记，用于分页查询结果，以便下次遍历时获取更多项。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_document/tools/write_document.py b/api/core/tools/provider/builtin/lark_document/tools/write_document.py deleted file mode 100644 index 888e0e39fce389..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/write_document.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class CreateDocumentTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - document_id = tool_parameters.get("document_id") - content = tool_parameters.get("content") - position = tool_parameters.get("position", "end") - - res = client.write_document(document_id, content, position) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_document/tools/write_document.yaml b/api/core/tools/provider/builtin/lark_document/tools/write_document.yaml deleted file mode 100644 index 9cdf034ed08230..00000000000000 --- a/api/core/tools/provider/builtin/lark_document/tools/write_document.yaml +++ /dev/null @@ -1,57 +0,0 @@ -identity: - name: write_document - author: Doug Lea - label: - en_US: Write Document - zh_Hans: 在 Lark 文档中新增内容 -description: - human: - en_US: Adding new content to Lark documents - zh_Hans: 在 Lark 文档中新增内容 - llm: A tool for adding new content to Lark documents. -parameters: - - name: document_id - type: string - required: true - label: - en_US: document_id - zh_Hans: Lark 文档的唯一标识 - human_description: - en_US: Unique identifier for a Lark document. You can also input the document's URL. - zh_Hans: Lark 文档的唯一标识，支持输入文档的 URL。 - llm_description: Lark 文档的唯一标识，支持输入文档的 URL。 - form: llm - - - name: content - type: string - required: true - label: - en_US: Plain text or Markdown content - zh_Hans: 纯文本或 Markdown 内容 - human_description: - en_US: Plain text or Markdown content. Note that embedded tables in the document should not have merged cells. - zh_Hans: 纯文本或 Markdown 内容。注意文档的内嵌套表格不允许有单元格合并。 - llm_description: 纯文本或 Markdown 内容，注意文档的内嵌套表格不允许有单元格合并。 - form: llm - - - name: position - type: select - required: false - options: - - value: start - label: - en_US: document start - zh_Hans: 文档开始 - - value: end - label: - en_US: document end - zh_Hans: 文档结束 - default: "end" - label: - en_US: position - zh_Hans: 内容添加位置 - human_description: - en_US: Content insertion position, optional values are start, end. 'start' means adding content at the beginning of the document; 'end' means adding content at the end of the document. 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lark_auth(credentials) diff --git a/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.yaml b/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.yaml deleted file mode 100644 index ad3fe0f3619098..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/lark_message_and_group.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: lark_message_and_group - label: - en_US: Lark Message And Group - zh_Hans: Lark 消息和群组 - description: - en_US: | - Lark message and group, requires the following permissions: im:message、im:message.group_msg. - zh_Hans: | - Lark 消息和群组，需要开通以下权限: im:message、im:message.group_msg。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your Lark app id - zh_Hans: 请输入你的 Lark app id - help: - en_US: Get your app_id and app_secret from Lark - zh_Hans: 从 Lark 获取您的 app_id 和 app_secret - url: https://open.larksuite.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的 Lark app secret diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.py deleted file mode 100644 index 118bac7ab7d720..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class GetChatMessagesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - container_id = tool_parameters.get("container_id") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - page_token = tool_parameters.get("page_token") - sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc") - page_size = tool_parameters.get("page_size", 20) - - res = client.get_chat_messages(container_id, start_time, end_time, page_token, sort_type, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.yaml deleted file mode 100644 index 965b45a5fbaec9..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_chat_messages.yaml +++ /dev/null @@ -1,96 +0,0 @@ -identity: - name: get_chat_messages - author: Doug Lea - label: - en_US: Get Chat Messages - zh_Hans: 获取指定单聊、群聊的消息历史 -description: - human: - en_US: Get Chat Messages - zh_Hans: 获取指定单聊、群聊的消息历史 - llm: A tool for getting chat messages from specific one-on-one chats or group chats.(获取指定单聊、群聊的消息历史) -parameters: - - name: container_id - type: string - required: true - label: - en_US: Container Id - zh_Hans: 群聊或单聊的 ID - human_description: - en_US: The ID of the group chat or single chat. Refer to the group ID description for how to obtain it. https://open.larkoffice.com/document/server-docs/group/chat/chat-id-description - zh_Hans: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.larkoffice.com/document/server-docs/group/chat/chat-id-description - llm_description: 群聊或单聊的 ID，获取方式参见群 ID 说明。https://open.larkoffice.com/document/server-docs/group/chat/chat-id-description - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 起始时间 - human_description: - en_US: The start time for querying historical messages, formatted as "2006-01-02 15:04:05". - zh_Hans: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。 - llm_description: 待查询历史信息的起始时间，格式为 "2006-01-02 15:04:05"。 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 结束时间 - human_description: - en_US: The end time for querying historical messages, formatted as "2006-01-02 15:04:05". - zh_Hans: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。 - llm_description: 待查询历史信息的结束时间，格式为 "2006-01-02 15:04:05"。 - form: llm - - - name: sort_type - type: select - required: false - options: - - value: ByCreateTimeAsc - label: - en_US: ByCreateTimeAsc - zh_Hans: ByCreateTimeAsc - - value: ByCreateTimeDesc - label: - en_US: ByCreateTimeDesc - zh_Hans: ByCreateTimeDesc - default: "ByCreateTimeAsc" - label: - en_US: Sort Type - zh_Hans: 排序方式 - human_description: - en_US: | - The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway. - zh_Hans: | - 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - form: form - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.py deleted file mode 100644 index 3509d9bbcfe437..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class GetChatMessagesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - container_id = tool_parameters.get("container_id") - page_token = tool_parameters.get("page_token") - sort_type = tool_parameters.get("sort_type", "ByCreateTimeAsc") - page_size = tool_parameters.get("page_size", 20) - - res = client.get_thread_messages(container_id, page_token, sort_type, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.yaml deleted file mode 100644 index 5f7a4f0902523e..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/get_thread_messages.yaml +++ /dev/null @@ -1,72 +0,0 @@ -identity: - name: get_thread_messages - author: Doug Lea - label: - en_US: Get Thread Messages - zh_Hans: 获取指定话题的消息历史 -description: - human: - en_US: Get Thread Messages - zh_Hans: 获取指定话题的消息历史 - llm: A tool for getting chat messages from specific threads.(获取指定话题的消息历史) -parameters: - - name: container_id - type: string - required: true - label: - en_US: Thread Id - zh_Hans: 话题 ID - human_description: - en_US: The ID of the thread. Refer to the thread overview on how to obtain the thread_id. https://open.larksuite.com/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction - zh_Hans: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.larksuite.com/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction - llm_description: 话题 ID，获取方式参见话题概述的如何获取 thread_id 章节。https://open.larksuite.com/document/uAjLw4CM/ukTMukTMukTM/reference/im-v1/message/thread-introduction - form: llm - - - name: sort_type - type: select - required: false - options: - - value: ByCreateTimeAsc - label: - en_US: ByCreateTimeAsc - zh_Hans: ByCreateTimeAsc - - value: ByCreateTimeDesc - label: - en_US: ByCreateTimeDesc - zh_Hans: ByCreateTimeDesc - default: "ByCreateTimeAsc" - label: - en_US: Sort Type - zh_Hans: 排序方式 - human_description: - en_US: | - The message sorting method. Optional values are ByCreateTimeAsc: sorted in ascending order by message creation time; ByCreateTimeDesc: sorted in descending order by message creation time. The default value is ByCreateTimeAsc. Note: When using page_token for pagination requests, the sorting method (sort_type) is consistent with the first request and cannot be changed midway. - zh_Hans: | - 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - llm_description: 消息排序方式，可选值有 ByCreateTimeAsc：按消息创建时间升序排列；ByCreateTimeDesc：按消息创建时间降序排列。默认值为：ByCreateTimeAsc。注意：使用 page_token 分页请求时，排序方式（sort_type）均与第一次请求一致，不支持中途改换排序方式。 - form: form - - - name: page_size - type: number - required: false - default: 20 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The page size, i.e., the number of data entries returned in a single request. The default value is 20, and the value range is [1,50]. - zh_Hans: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - llm_description: 分页大小，即单次请求所返回的数据条目数。默认值为 20，取值范围为 [1,50]。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave it blank for the first request, indicating to start traversing from the beginning; when the pagination query result has more items, a new page_token will be returned simultaneously, which can be used to obtain the query result in the next traversal. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.py deleted file mode 100644 index b0a8df61e85f2e..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class SendBotMessageTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - receive_id_type = tool_parameters.get("receive_id_type") - receive_id = tool_parameters.get("receive_id") - msg_type = tool_parameters.get("msg_type") - content = tool_parameters.get("content") - - res = client.send_bot_message(receive_id_type, receive_id, msg_type, content) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.yaml deleted file mode 100644 index b949c5e01694ce..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_bot_message.yaml +++ /dev/null @@ -1,125 +0,0 @@ -identity: - name: send_bot_message - author: Doug Lea - label: - en_US: Send Bot Message - zh_Hans: 发送 Lark 应用消息 -description: - human: - en_US: Send bot message - zh_Hans: 发送 Lark 应用消息 - llm: A tool for sending Lark application messages. -parameters: - - name: receive_id - type: string - required: true - label: - en_US: receive_id - zh_Hans: 消息接收者的 ID - human_description: - en_US: The ID of the message receiver, the ID type is consistent with the value of the query parameter receive_id_type. - zh_Hans: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。 - llm_description: 消息接收者的 ID，ID 类型与查询参数 receive_id_type 的取值一致。 - form: llm - - - name: receive_id_type - type: select - required: true - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - - value: email - label: - en_US: email - zh_Hans: email - - value: chat_id - label: - en_US: chat_id - zh_Hans: chat_id - label: - en_US: receive_id_type - zh_Hans: 消息接收者的 ID 类型 - human_description: - en_US: The ID type of the message receiver, optional values are open_id, union_id, user_id, email, chat_id, with a default value of open_id. - zh_Hans: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。 - llm_description: 消息接收者的 ID 类型，可选值有 open_id、union_id、user_id、email、chat_id，默认值为 open_id。 - form: form - - - name: msg_type - type: select - required: true - options: - - value: text - label: - en_US: text - zh_Hans: 文本 - - value: interactive - label: - en_US: interactive - zh_Hans: 卡片 - - value: post - label: - en_US: post - zh_Hans: 富文本 - - value: image - label: - en_US: image - zh_Hans: 图片 - - value: file - label: - en_US: file - zh_Hans: 文件 - - value: audio - label: - en_US: audio - zh_Hans: 语音 - - value: media - label: - en_US: media - zh_Hans: 视频 - - value: sticker - label: - en_US: sticker - zh_Hans: 表情包 - - value: share_chat - label: - en_US: share_chat - zh_Hans: 分享群名片 - - value: share_user - label: - en_US: share_user - zh_Hans: 分享个人名片 - - value: system - label: - en_US: system - zh_Hans: 系统消息 - label: - en_US: msg_type - zh_Hans: 消息类型 - human_description: - en_US: Message type. Optional values are text, post, image, file, audio, media, sticker, interactive, share_chat, share_user, system. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息类型。可选值有：text、post、image、file、audio、media、sticker、interactive、share_chat、share_user、system。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: form - - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - human_description: - en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larksuite.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larksuite.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larksuite.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.py b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.py deleted file mode 100644 index 18a605079fc950..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class SendWebhookMessageTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - webhook = tool_parameters.get("webhook") - msg_type = tool_parameters.get("msg_type") - content = tool_parameters.get("content") - - res = client.send_webhook_message(webhook, msg_type, content) - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.yaml b/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.yaml deleted file mode 100644 index ea13cae52ba997..00000000000000 --- a/api/core/tools/provider/builtin/lark_message_and_group/tools/send_webhook_message.yaml +++ /dev/null @@ -1,68 +0,0 @@ -identity: - name: send_webhook_message - author: Doug Lea - label: - en_US: Send Webhook Message - zh_Hans: 使用自定义机器人发送 Lark 消息 -description: - human: - en_US: Send webhook message - zh_Hans: 使用自定义机器人发送 Lark 消息 - llm: A tool for sending Lark messages using a custom robot. -parameters: - - name: webhook - type: string - required: true - label: - en_US: webhook - zh_Hans: webhook - human_description: - en_US: | - The address of the webhook, the format of the webhook address corresponding to the bot is as follows: https://open.larksuite.com/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx. For details, please refer to: Lark Custom Bot Usage Guide(https://open.larkoffice.com/document/client-docs/bot-v3/add-custom-bot) - zh_Hans: | - webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.larksuite.com/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: Lark 自定义机器人使用指南(https://open.larksuite.com/document/client-docs/bot-v3/add-custom-bot) - llm_description: | - webhook 的地址，机器人对应的 webhook 地址格式如下: https://open.larksuite.com/open-apis/bot/v2/hook/xxxxxxxxxxxxxxxxx，详情可参考: Lark 自定义机器人使用指南(https://open.larksuite.com/document/client-docs/bot-v3/add-custom-bot) - form: llm - - - name: msg_type - type: select - required: true - options: - - value: text - label: - en_US: text - zh_Hans: 文本 - - value: interactive - label: - en_US: interactive - zh_Hans: 卡片 - - value: image - label: - en_US: image - zh_Hans: 图片 - - value: share_chat - label: - en_US: share_chat - zh_Hans: 分享群名片 - label: - en_US: msg_type - zh_Hans: 消息类型 - human_description: - en_US: Message type. Optional values are text, image, interactive, share_chat. For detailed introduction of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息类型。可选值有：text、image、interactive、share_chat。不同消息类型的详细介绍，参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: form - - - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - human_description: - en_US: Message content, a JSON structure serialized string. The value of this parameter corresponds to msg_type. For example, if msg_type is text, this parameter needs to pass in text type content. To understand the format and usage limitations of different message types, refer to the message content(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json). - zh_Hans: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - llm_description: 消息内容，JSON 结构序列化后的字符串。该参数的取值与 msg_type 对应，例如 msg_type 取值为 text，则该参数需要传入文本类型的内容。了解不同类型的消息内容格式、使用限制，可参见发送消息内容(https://open.larkoffice.com/document/server-docs/im-v1/message-content-description/create_json)。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/_assets/icon.png b/api/core/tools/provider/builtin/lark_spreadsheet/_assets/icon.png deleted file mode 100644 index 258b361261d4e3366251613141efaf200cd492db..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5417 zcmd^DS5%YRwoZN$O6VAxB7`D>B2{_|NCfFcC5m9^B1Ni1YN8;ag8~B5K}5ljNR=At zDowYWE@T6ufDnpw#PfU4%XzwQcZ_?-eMtT>zS-xRYp%IgytSnsL zdRI`?%X-mSlvNKO|Ie?xLgnG*o=vL-$74~@Z_^H692>&gwz#AF8KDeDRMbw;%S7@^ z0lEPo#d95ysLibL=R-lQaee?Fs}d9;GP^(x<}0F2F-h^b07#9l0oO$-H1Q3K391Vw z<4=0p`{@z^2;xpdlh~~3JnE^>9z);@q9`KIu_BtdpQzbsD575%4Twvli5I4HvMd2) zb~piMXifm)8t=*F!((F(ty-{~Wz)Z}Ndy@Eb!#j;_(=_NxxD1SZ z`^;W2^5auNzYn@A2>xJh;sP2HSC+;woK59g(<;NCo^!c#Ehuot?D4Rd)w8!(U0P`& z%VC9Q-96X{A0A-3$C;#tp*U^SO+lV&Hxa7rN-a66lFyi_>RrN%R|1Vq#cqxM66~=V zqiED^xRLX95ANScBy+VLmy`yfkVWj>n$$_jO&|;@RMZxW`Vz z$O_A_ZC28OHeIiVe5Q^a@Eh@@xS_-0ekSH|OjbBisUizBYwacbqfha(|5(|VJ2}WB zHpATzRjsPoJQBe4PIt1hgrI7Y50}-!}5gFUy?Rg9_E&^py-is{-p;% zTvMdnGy%=Wqn{@HrmR@{jrI>dJKTelw2a|nx8U=k7~^*xb#q+marab_8vS2fSE5+Y zn~5{LDooF9tC$SGL27*G@;{=nn$Xky=U;8P+72;ajTwrUrC1Tnxpj$-`QP(e{CvV9 zh3pN9onxvac@}^z>)z{0S+aM9#p?S7+MZA%@a=)}H%cBs2SJLPD0zo*4!;C}*GG6$ zTMl`6(oQ&vd#E0UZeZkChdQ~D8u|whYR0Tkk_54k46T{#q1zuLx1St1$09Z4@?G-x zP;12H+5MiS`8ypOtP=3S-g>%7u{bLB#@8}4dCm`w!J@u0gpTDCfl`36#Ce`k^1%{YRQF_6`gSF9DyZ3Bm zxr|mHO4@>BaQa#*$Cj2S)LE_&-nSsJv3#y!5=1E}zv^mBz1y3!vXp@@&b|hGYttj^ z?UFMVQR53YFP6~^{CEd_wTWBGlH@xTzP_*PtPwumo>==enAF|ol)S&NnfqRA-FZ#G zf5A^UVYdF1#whcR86TO2%c|Bm2kp)#9~26{2Ge@9z!sOtO3(_ASdG)a5Jouh*GPceIQ8i;V2@|!6kT2)T zP3GTrKXy&4^~U@c_IEJKMZl%eR=P~7mddg1f~Y}6Wy#^*OPN3UfmQK^3@itZpKbd5@0 zc3B?kLSn(>gN`_VSnGc2%ub#NtO@@Vkcuw1I zE&gLUmn!~7K;3W8aMa%NswfiMeh!H(yq2vZu#y-1l|`&3hz-OPVp0Cr>%V@TkU!%> zig$7Eo6aFiCaPc7AQg38k{ODANjtgts?q(!v%Aw&3~?*`#9gB9y+Zv%yYux6M}lWg zZx}2Y?UvriIKFi_e_K9Y{*4iad-AWN{so#fZ7hA_A!jW=?o>IKy zVmr>iln9}Jc@{D>cn$kyL;F=r9*Z3=5=?1+js+lA8D{cPQAguYGbtg}#)-6p{L3|* z@z$zI?_#(<*R6L3#H|ws#J_XKWhkN21!JDd0#QqszIwaZd#vflMa8h(9b$wT5L8*< zBX{8NtDYXEG^ec#34>iz2?zd{3O{5DZf>LtQt;n=e$*{$Wdmn-7EK!_{#(~HLVkHiwO`?8f|1cmvooXKl(DSNxarLW);a=FHJAic)+i^G z(e}q=C|W8Y@LuK-uv76%eROl8~k7sr_FPLKx5)D|=j5MXweA zsi4aJnHaAJ-_CgY`b`pY7?BvwX)Ah}o;`g;d}iT<<{|np=0|Z$nPE>jWATfMx145R;)u$P_vwvE1OY&0~oC274T(v@nP)MM42l z#rob;2tLAOLgc?^gTq+sb;?jg(TJ+PMBwcG4dIK#Er=}+;)jzkBQbA6MY987*4wFXPvD(6q#>};6+{c!gE zuh?~G=IFzw59PEky!+o7(m;57&_TyPg|dS<(VkwmfpJ;)jR3<_=3?xKgTG9sg|mT8 zmbR_XHYesG&?uhyDlEiy%>7r}!@aL&dpZ>1HoqDf{|1sCM-k|%3`JO`Qx1$Y1q`W# z=265^17<`61QLL!MCE=k9QvOWA$*wMEB*<)^nabuVB#n)s@pcn@^cAx%#VAfr_bI)ekLa(&LqeVj$|@{;Y-L}+dGMsG-d-d4iEN~E?1J;#SxCn*=oaRy&&#~_7uBTMaU0*MMYxCUXn$sPyZ5ihR%j-)C1apw>-l9JRzB?mJ5v?YFm*DN3ll)!1?9R}6Z3b@E^)gymONw#o8R29`3SRVA zsi#m1t=0|{3Ol$DlC?xn@?&-b+n4<(hoge6@h^J8p`^7HP29r&!qo2Y?k_>r=O&21`&6h_Sx#E;kq2Ot#^)I6TxR^2Lm5BW3iP4X-x4dph*G zm6EL0WgHQStu6)~e{wh2tBkuxN}e`;DpR8pkKD&Fm)Mta1e}IKjl)|Et;Qyf)CwjV zkPeeGRL>U?*#_-`_0#OH+8^nA;z!>_N-_;=+cGoY(3B$D=}mL@>(pjfZCk%evCrcJ z&uIHP?BLXa=%?HV6Lp6PoN{`SM8K5px4 z06A{wSth;olH1c3?@~tp92xRpW^+pix#O-i$m?O6I<%QK@99QH^!G_a5mi<-Wa`gE zzEx$`fchvk6%$k<3><;_n^f0_-b<{r5(4(e|ICEo-FaWJS52Vs7-pVVc5U=O(B%;n zv7{^76nDI(5CdMo4L}z>=DnZt{YJ#!;~_mwrpfX30Z_0@QJch%LX1fVD8|}N$ z9N>nSWT$qR^Q{>WfTx|6jt&uOCFxfnj6UV(edaeo{}m!Cd`%DeX#7VPoz>WcK<6LQ z^-L@MNLKzL>o41FvMqpzAe(q&>L>YY@!!*<)@KY!myRyFfXqBaH0EJT(-*!;(fo!w zbJ0>MXdoA4mZsRnjJ{g5U${6KbuK2G9(^7p90v)^Re!~rYW$rXub|1*azcCG!`X<- z0JsfOjz3>5x!8VHt5HK<(3JiZaY8YsjE z4#P-|aP9d+&hJ+~x3) zRoe}iD|SBMZC((X;TavAVgj57V|X*prE0P64W*hxeg&y88J~hekQ$+rMdeC*R;&Sn zgx6C89qHlcp@_WZ?QnH`UrBv4bP7TGG&Rtb9xeyMog-$X+=pG(yy-#ELtWJFls{L% zPG7OCf6C;n*PmYab_Xq25TBgp_tTPf3g;+@O>2dfO)Z!zl~Sem?k8imS&3FK{d%ffu4JAj zAjB0MS+yF#;WI_b8j*swkZ%2~-+wRp)VGRi>^J?MGjd<>nRdAr7r7&Dh`-Pv-FK>h zIQo;wPAv-XS-wED56lI^%4ogV%jy{%p)hIaAjY;Y9uVr$e&h4y)Uwd^W~3#Sm}JL6e>&pB)4%2Uz#8r-4KnR5f_ww?1ls1cbrIlQ*~F)F~(XH z5fO%=Ejw1~Pfjtv;bPV{EI26c+pUV(# e^8bzLQ2*ztuUWBv%zNP5C*%^w(uiz`yZ None: - lark_auth(credentials) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.yaml deleted file mode 100644 index 030b5c9063227a..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/lark_spreadsheet.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: lark_spreadsheet - label: - en_US: Lark Spreadsheet - zh_Hans: Lark 电子表格 - description: - en_US: | - Lark Spreadsheet, requires the following permissions: sheets:spreadsheet. - zh_Hans: | - Lark 电子表格，需要开通以下权限: sheets:spreadsheet。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your Lark app id - zh_Hans: 请输入你的 Lark app id - help: - en_US: Get your app_id and app_secret from Lark - zh_Hans: 从 Lark 获取您的 app_id 和 app_secret - url: https://open.larksuite.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的 Lark app secret diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.py deleted file mode 100644 index deeb5a1ecf6f7d..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class AddColsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - length = tool_parameters.get("length") - values = tool_parameters.get("values") - - res = client.add_cols(spreadsheet_token, sheet_id, sheet_name, length, values) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.yaml deleted file mode 100644 index b73335f405c20c..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_cols.yaml +++ /dev/null @@ -1,72 +0,0 @@ -identity: - name: add_cols - author: Doug Lea - label: - en_US: Add Cols - zh_Hans: 新增多列至工作表最后 -description: - human: - en_US: Add Cols - zh_Hans: 新增多列至工作表最后 - llm: A tool for adding multiple columns to the end of a spreadsheet. (新增多列至工作表最后) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: length - type: number - required: true - label: - en_US: length - zh_Hans: 要增加的列数 - human_description: - en_US: Number of columns to add, range (0-5000]. - zh_Hans: 要增加的列数，范围(0-5000]。 - llm_description: 要增加的列数，范围(0-5000]。 - form: form - - - name: values - type: string - required: false - label: - en_US: values - zh_Hans: 新增列的单元格内容 - human_description: - en_US: | - Content of the new columns, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ]. - zh_Hans: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - llm_description: 新增列的单元格内容，数组对象字符串，每个数组一行表格数据，格式：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.py deleted file mode 100644 index f434b1c60341f3..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class AddRowsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - length = tool_parameters.get("length") - values = tool_parameters.get("values") - - res = client.add_rows(spreadsheet_token, sheet_id, sheet_name, length, values) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.yaml deleted file mode 100644 index 6bce305b9825ec..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/add_rows.yaml +++ /dev/null @@ -1,72 +0,0 @@ -identity: - name: add_rows - author: Doug Lea - label: - en_US: Add Rows - zh_Hans: 新增多行至工作表最后 -description: - human: - en_US: Add Rows - zh_Hans: 新增多行至工作表最后 - llm: A tool for adding multiple rows to the end of a spreadsheet. (新增多行至工作表最后) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: length - type: number - required: true - label: - en_US: length - zh_Hans: 要增加行数 - human_description: - en_US: Number of rows to add, range (0-5000]. - zh_Hans: 要增加行数，范围(0-5000]。 - llm_description: 要增加行数，范围(0-5000]。 - form: form - - - name: values - type: string - required: false - label: - en_US: values - zh_Hans: 新增行的表格内容 - human_description: - en_US: | - Content of the new rows, array of objects in string format, each array represents a row of table data, format like: [ [ "ID","Name","Age" ],[ 1,"Zhang San",10 ],[ 2,"Li Si",11 ] ]. - zh_Hans: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - llm_description: 新增行的表格内容，数组对象字符串，每个数组一行表格数据，格式,如：[["编号","姓名","年龄"],[1,"张三",10],[2,"李四",11]]。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.py deleted file mode 100644 index 74b20ac2c838f8..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class CreateSpreadsheetTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - title = tool_parameters.get("title") - folder_token = tool_parameters.get("folder_token") - - res = client.create_spreadsheet(title, folder_token) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.yaml deleted file mode 100644 index 931310e63172d4..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/create_spreadsheet.yaml +++ /dev/null @@ -1,35 +0,0 @@ -identity: - name: create_spreadsheet - author: Doug Lea - label: - en_US: Create Spreadsheet - zh_Hans: 创建电子表格 -description: - human: - en_US: Create Spreadsheet - zh_Hans: 创建电子表格 - llm: A tool for creating spreadsheets. (创建电子表格) -parameters: - - name: title - type: string - required: false - label: - en_US: Spreadsheet Title - zh_Hans: 电子表格标题 - human_description: - en_US: The title of the spreadsheet - zh_Hans: 电子表格的标题 - llm_description: 电子表格的标题 - form: llm - - - name: folder_token - type: string - required: false - label: - en_US: Folder Token - zh_Hans: 文件夹 token - human_description: - en_US: The token of the folder, supports folder URL input, e.g., https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg - zh_Hans: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg - llm_description: 文件夹 token，支持文件夹 URL 输入，如：https://bytedance.larkoffice.com/drive/folder/CxHEf4DCSlNkL2dUTCJcPRgentg - form: llm diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.py deleted file mode 100644 index 0fe35b6dc645b8..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class GetSpreadsheetTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.get_spreadsheet(spreadsheet_token, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.yaml deleted file mode 100644 index c519938617ba8c..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/get_spreadsheet.yaml +++ /dev/null @@ -1,49 +0,0 @@ -identity: - name: get_spreadsheet - author: Doug Lea - label: - en_US: Get Spreadsheet - zh_Hans: 获取电子表格信息 -description: - human: - en_US: Get Spreadsheet - zh_Hans: 获取电子表格信息 - llm: A tool for getting information from spreadsheets. (获取电子表格信息) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: Spreadsheet Token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 URL。 - llm_description: 电子表格 token，支持输入电子表格 URL。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.py deleted file mode 100644 index e711c23780e5e3..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ListSpreadsheetSheetsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - - res = client.list_spreadsheet_sheets(spreadsheet_token) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.yaml deleted file mode 100644 index c6a7ef45d46589..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/list_spreadsheet_sheets.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: list_spreadsheet_sheets - author: Doug Lea - label: - en_US: List Spreadsheet Sheets - zh_Hans: 列出电子表格所有工作表 -description: - human: - en_US: List Spreadsheet Sheets - zh_Hans: 列出电子表格所有工作表 - llm: A tool for listing all sheets in a spreadsheet. (列出电子表格所有工作表) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: Spreadsheet Token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 URL。 - llm_description: 电子表格 token，支持输入电子表格 URL。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.py deleted file mode 100644 index 1df289c1d71b01..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ReadColsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - start_col = tool_parameters.get("start_col") - num_cols = tool_parameters.get("num_cols") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_cols(spreadsheet_token, sheet_id, sheet_name, start_col, num_cols, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.yaml deleted file mode 100644 index 34da74592d5898..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_cols.yaml +++ /dev/null @@ -1,97 +0,0 @@ -identity: - name: read_cols - author: Doug Lea - label: - en_US: Read Cols - zh_Hans: 读取工作表列数据 -description: - human: - en_US: Read Cols - zh_Hans: 读取工作表列数据 - llm: A tool for reading column data from a spreadsheet. (读取工作表列数据) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: start_col - type: number - required: false - label: - en_US: start_col - zh_Hans: 起始列号 - human_description: - en_US: Starting column number, starting from 1. - zh_Hans: 起始列号，从 1 开始。 - llm_description: 起始列号，从 1 开始。 - form: form - - - name: num_cols - type: number - required: true - label: - en_US: num_cols - zh_Hans: 读取列数 - human_description: - en_US: Number of columns to read. - zh_Hans: 读取列数 - llm_description: 读取列数 - form: form diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.py deleted file mode 100644 index 1cab38a4545269..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ReadRowsTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - start_row = tool_parameters.get("start_row") - num_rows = tool_parameters.get("num_rows") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_rows(spreadsheet_token, sheet_id, sheet_name, start_row, num_rows, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.yaml deleted file mode 100644 index 5dfa8d58354125..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_rows.yaml +++ /dev/null @@ -1,97 +0,0 @@ -identity: - name: read_rows - author: Doug Lea - label: - en_US: Read Rows - zh_Hans: 读取工作表行数据 -description: - human: - en_US: Read Rows - zh_Hans: 读取工作表行数据 - llm: A tool for reading row data from a spreadsheet. (读取工作表行数据) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: start_row - type: number - required: false - label: - en_US: start_row - zh_Hans: 起始行号 - human_description: - en_US: Starting row number, starting from 1. - zh_Hans: 起始行号，从 1 开始。 - llm_description: 起始行号，从 1 开始。 - form: form - - - name: num_rows - type: number - required: true - label: - en_US: num_rows - zh_Hans: 读取行数 - human_description: - en_US: Number of rows to read. - zh_Hans: 读取行数 - llm_description: 读取行数 - form: form diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.py b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.py deleted file mode 100644 index 0f05249004ee20..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class ReadTableTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - spreadsheet_token = tool_parameters.get("spreadsheet_token") - sheet_id = tool_parameters.get("sheet_id") - sheet_name = tool_parameters.get("sheet_name") - num_range = tool_parameters.get("num_range") - query = tool_parameters.get("query") - user_id_type = tool_parameters.get("user_id_type", "open_id") - - res = client.read_table(spreadsheet_token, sheet_id, sheet_name, num_range, query, user_id_type) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.yaml b/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.yaml deleted file mode 100644 index 10534436d66e7a..00000000000000 --- a/api/core/tools/provider/builtin/lark_spreadsheet/tools/read_table.yaml +++ /dev/null @@ -1,122 +0,0 @@ -identity: - name: read_table - author: Doug Lea - label: - en_US: Read Table - zh_Hans: 自定义读取电子表格行列数据 -description: - human: - en_US: Read Table - zh_Hans: 自定义读取电子表格行列数据 - llm: A tool for custom reading of row and column data from a spreadsheet. (自定义读取电子表格行列数据) -parameters: - - name: spreadsheet_token - type: string - required: true - label: - en_US: spreadsheet_token - zh_Hans: 电子表格 token - human_description: - en_US: Spreadsheet token, supports input of spreadsheet URL. - zh_Hans: 电子表格 token，支持输入电子表格 url。 - llm_description: 电子表格 token，支持输入电子表格 url。 - form: llm - - - name: sheet_id - type: string - required: false - label: - en_US: sheet_id - zh_Hans: 工作表 ID - human_description: - en_US: Sheet ID, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表 ID，与 sheet_name 二者其一必填。 - llm_description: 工作表 ID，与 sheet_name 二者其一必填。 - form: llm - - - name: sheet_name - type: string - required: false - label: - en_US: sheet_name - zh_Hans: 工作表名称 - human_description: - en_US: Sheet name, either sheet_id or sheet_name must be filled. - zh_Hans: 工作表名称，与 sheet_id 二者其一必填。 - llm_description: 工作表名称，与 sheet_id 二者其一必填。 - form: llm - - - name: user_id_type - type: select - required: false - options: - - value: open_id - label: - en_US: open_id - zh_Hans: open_id - - value: union_id - label: - en_US: union_id - zh_Hans: union_id - - value: user_id - label: - en_US: user_id - zh_Hans: user_id - default: "open_id" - label: - en_US: user_id_type - zh_Hans: 用户 ID 类型 - human_description: - en_US: User ID type, optional values are open_id, union_id, user_id, with a default value of open_id. - zh_Hans: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - llm_description: 用户 ID 类型，可选值有 open_id、union_id、user_id，默认值为 open_id。 - form: form - - - name: start_row - type: number - required: false - label: - en_US: start_row - zh_Hans: 起始行号 - human_description: - en_US: Starting row number, starting from 1. - zh_Hans: 起始行号，从 1 开始。 - llm_description: 起始行号，从 1 开始。 - form: form - - - name: num_rows - type: number - required: false - label: - en_US: num_rows - zh_Hans: 读取行数 - human_description: - en_US: Number of rows to read. - zh_Hans: 读取行数 - llm_description: 读取行数 - form: form - - - name: range - type: string - required: false - label: - en_US: range - zh_Hans: 取数范围 - human_description: - en_US: | - Data range, format like: A1:B2, can be empty when query=all. - zh_Hans: 取数范围,格式如:A1:B2，query=all 时可为空。 - llm_description: 取数范围,格式如:A1:B2，query=all 时可为空。 - form: llm - - - name: query - type: string - required: false - label: - en_US: query - zh_Hans: 查询 - human_description: - en_US: Pass "all" to query all data in the table, but no more than 100 columns. - zh_Hans: 传 all，表示查询表格所有数据，但最多查询 100 列数据。 - llm_description: 传 all，表示查询表格所有数据，但最多查询 100 列数据。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_task/_assets/icon.png b/api/core/tools/provider/builtin/lark_task/_assets/icon.png deleted file mode 100644 index 26ea6a2eefa5bea073ed8ca8c4d712852745026c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2115 zcmV-J2)y@+P)ECvr`e zMW$rA`}a$J$awka4G|l^DdqT0A+Ow$%U6Gr*WBM%k~4Z!T9NBQKmv>2-Zsg@C$v~halrDq;GCy=RCm=u=nat}H0D_QXoB}CIG6^t0IFXfP z9umU@02;Zj(x4&eb)Xd7Dj^8{<2mc{m5dx90m7h4fgHYu6euYO+zFh7u_+{>1lFN{ zJY)5br6oOufiN(U(GapK1(SJ70y;sj!xR9RBor}(@My;B9Zk!=(X{9rBLL$W2?&r{ z2VMz*Bp47n2^s>YK#T)IvArvVhci|^t)d+4A|{vy)Gs=X>XVlV$Ed|5npQ=6i;dvS%bE0HHSm0F(p* zfE4s24TVl12uK1_U?-t)9?gjyo61kSKWERGi^}6qo{MKsp68`gPZz%ZE_DrLtgfMt zvKs(M;gOV5gx7!}U>!^+T&5%pOdt)q9LfAJ$x)1y1bWiTll!xF9c@19Hvc^!boM8$ zOM@RJ)IF4B2;IY!0tTRDlE5j@oiG6N48Tr;>pCpEKWo>4`S}GAonOey`R7{r+Wflk zJbDN)-*Nea>?B6OaaV9kP5G_&VryAOJD^hsphU zJ4Tt$M}J+&$%ANqF@IzbV7|Tog9HGEKmZ^OL8v6?PM|dC%fQ8m6RDCwtH8ymSAmm| zUp}z;$1lkI3o_@@V;IJB7aawJws6vF?foFy`nF|T-v`mr|4}Fi3_@TXkOW86ldjSF`fg#wPV6TH&2`)t^ zgo#Y7FOn>Cf8MV1=wUeKLN(@atUc_C71n*qN}J+TRIC1CX4AOPiv(i&lY?uvJKc>H`)hLM1_g z00h1agE*0?!6Ae5Fp(Lhx?az44a@SI9l^&0O1pp4&B?K&zrApj$8hV>#{Di zF6&tvLP1DC0uV0fbwCOND8&K<=Y`mD9mss5%>8*sHe~G1y;o_ur+p@uo0(ZkGK9MhY= z?W@TA`KC28|CUt~jLTZ6InHUQ(<{-?k^lgm1cK16AOx@qyb>k_O7ylE3wC@*^JZqE z$ueqr-^{CIaKAf$t}$+%yRatDLrrf5!4M3ARLe;Kgg8S$F>(r8=rTAu0V|=_0cqef z2@wB{`7fC>^=p=|@r^v!XaE=pl!Sm;1th^<2X!41x)U}y2~8>q>N==$EDrN$>fZ=o z!y5_NDOi&V08$Wltb>7obs!M>MDlw=t3Hn^2|vF1%DR>E)BaTf0MJ=L&`DqrCIzMw zcpX$9_!S5wfz^N%v=&Nnx$Z|dk2zhp8msiLNP5aMPyvDhpdrYrCbbHj22KK**C$e6 z2K}_Fn^-@ukwo86=j458i$fs-H#>p*F!#wsX%+6f`^!n9Ew<}m
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zB3Vd+WHwOWfksHgrE`kxQc|S#ZQF|L79@py&xmOQDRCUGT~gIn+Yl7VtcO%0_YhfAKrb2LvT#vqR9h?^9FfP2 zZnzvBcz80WRQI%^)puFVseB6P&S*hmL$e7{8=W+1?{Fjjl;>(4@sCJNdeK2lftUv&qx@XEuJy2Kivs43-N)b-K)mt8=k7JhdLU-_Sa?&o z;lp!4nSk4tn0}GALHM}kJyMvj|8*HW6s{P5UFjlSj_CP>uc#_1dVcTz|DXR?Eb}ij g|Bv5#^bsq9?eKsMxXGe#r|@NMEbUKKT3o#KPq$@QGXMYp diff --git a/api/core/tools/provider/builtin/rapidapi/rapidapi.py b/api/core/tools/provider/builtin/rapidapi/rapidapi.py deleted file mode 100644 index 31077b0894153b..00000000000000 --- a/api/core/tools/provider/builtin/rapidapi/rapidapi.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.rapidapi.tools.google_news import GooglenewsTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class RapidapiProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - GooglenewsTool().fork_tool_runtime( - meta={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "language_region": "en-US", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/rapidapi/rapidapi.yaml b/api/core/tools/provider/builtin/rapidapi/rapidapi.yaml deleted file mode 100644 index 3f1d1c58248cc1..00000000000000 --- a/api/core/tools/provider/builtin/rapidapi/rapidapi.yaml +++ /dev/null @@ -1,39 +0,0 @@ -identity: - name: rapidapi - author: Steven Sun - label: - en_US: RapidAPI - zh_Hans: RapidAPI - description: - en_US: RapidAPI is the world's largest API marketplace with over 1,000,000 developers and 10,000 APIs. - zh_Hans: RapidAPI是全球最大的API市场，拥有超过100万开发人员和10000个API。 - icon: rapidapi.png - tags: - - news -credentials_for_provider: - x-rapidapi-host: - type: text-input - required: true - label: - en_US: x-rapidapi-host - zh_Hans: x-rapidapi-host - placeholder: - en_US: Please input your x-rapidapi-host - zh_Hans: 请输入你的 x-rapidapi-host - help: - en_US: Get your x-rapidapi-host from RapidAPI. - zh_Hans: 从 RapidAPI 获取您的 x-rapidapi-host。 - url: https://rapidapi.com/ - x-rapidapi-key: - type: secret-input - required: true - label: - en_US: x-rapidapi-key - zh_Hans: x-rapidapi-key - placeholder: - en_US: Please input your x-rapidapi-key - zh_Hans: 请输入你的 x-rapidapi-key - help: - en_US: Get your x-rapidapi-key from RapidAPI. - zh_Hans: 从 RapidAPI 获取您的 x-rapidapi-key。 - url: https://rapidapi.com/ diff --git a/api/core/tools/provider/builtin/rapidapi/tools/google_news.py b/api/core/tools/provider/builtin/rapidapi/tools/google_news.py deleted file mode 100644 index d4b6dc4a46b6ef..00000000000000 --- a/api/core/tools/provider/builtin/rapidapi/tools/google_news.py +++ /dev/null @@ -1,33 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolInvokeError, ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class GooglenewsTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - key = self.runtime.credentials.get("x-rapidapi-key", "") - host = self.runtime.credentials.get("x-rapidapi-host", "") - if not all([key, host]): - raise ToolProviderCredentialValidationError("Please input correct x-rapidapi-key and x-rapidapi-host") - headers = {"x-rapidapi-key": key, "x-rapidapi-host": host} - lr = tool_parameters.get("language_region", "") - url = f"https://{host}/latest?lr={lr}" - response = requests.get(url, headers=headers) - if response.status_code != 200: - raise ToolInvokeError(f"Error {response.status_code}: {response.text}") - return self.create_text_message(response.text) - - def validate_credentials(self, parameters: dict[str, Any]) -> None: - parameters["validate"] = True - self._invoke(parameters) diff --git a/api/core/tools/provider/builtin/rapidapi/tools/google_news.yaml b/api/core/tools/provider/builtin/rapidapi/tools/google_news.yaml deleted file mode 100644 index 547681b16663d5..00000000000000 --- a/api/core/tools/provider/builtin/rapidapi/tools/google_news.yaml +++ /dev/null @@ -1,24 +0,0 @@ -identity: - name: google_news - author: Steven Sun - label: - en_US: GoogleNews - zh_Hans: 谷歌新闻 -description: - human: - en_US: google news is a news aggregator service developed by Google. It presents a continuous, customizable flow of articles organized from thousands of publishers and magazines. - zh_Hans: 谷歌新闻是由谷歌开发的新闻聚合服务。它提供了一个持续的、可定制的文章流，这些文章是从成千上万的出版商和杂志中整理出来的。 - llm: A tool to get the latest news from Google News. -parameters: - - name: language_region - type: string - required: true - label: - en_US: Language and Region - zh_Hans: 语言和地区 - human_description: - en_US: The language and region determine the language and region of the search results, and its value is assigned according to the "National Language Code Comparison Table", such as en-US, which stands for English (United States); zh-CN, stands for Chinese (Simplified). - zh_Hans: 语言和地区决定了搜索结果的语言和地区,其赋值按照《国家语言代码对照表》，形如en-US,代表英语（美国）；zh-CN，代表中文（简体）。 - llm_description: The language and region determine the language and region of the search results, and its value is assigned according to the "National Language Code Comparison Table", such as en-US, which stands for English (United States); zh-CN, stands for Chinese (Simplified). - default: en-US - form: llm diff --git a/api/core/tools/provider/builtin/regex/_assets/icon.svg b/api/core/tools/provider/builtin/regex/_assets/icon.svg deleted file mode 100644 index 0231a2b4aa9da2..00000000000000 --- a/api/core/tools/provider/builtin/regex/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/regex/regex.py b/api/core/tools/provider/builtin/regex/regex.py deleted file mode 100644 index c498105979f13e..00000000000000 --- a/api/core/tools/provider/builtin/regex/regex.py +++ /dev/null @@ -1,19 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.regex.tools.regex_extract import RegexExpressionTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class RegexProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - RegexExpressionTool().invoke( - user_id="", - tool_parameters={ - "content": "1+(2+3)*4", - "expression": r"(\d+)", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/regex/regex.yaml b/api/core/tools/provider/builtin/regex/regex.yaml deleted file mode 100644 index d05776f214e8d2..00000000000000 --- a/api/core/tools/provider/builtin/regex/regex.yaml +++ /dev/null @@ -1,15 +0,0 @@ -identity: - author: zhuhao - name: regex - label: - en_US: Regex - zh_Hans: 正则表达式提取 - pt_BR: Regex - description: - en_US: A tool for regex extraction. - zh_Hans: 一个用于正则表达式内容提取的工具。 - pt_BR: A tool for regex extraction. - icon: icon.svg - tags: - - utilities - - productivity diff --git a/api/core/tools/provider/builtin/regex/tools/regex_extract.py b/api/core/tools/provider/builtin/regex/tools/regex_extract.py deleted file mode 100644 index 786b4694040030..00000000000000 --- a/api/core/tools/provider/builtin/regex/tools/regex_extract.py +++ /dev/null @@ -1,28 +0,0 @@ -import re -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class RegexExpressionTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # get expression - content = tool_parameters.get("content", "").strip() - if not content: - return self.create_text_message("Invalid content") - expression = tool_parameters.get("expression", "").strip() - if not expression: - return self.create_text_message("Invalid expression") - try: - result = re.findall(expression, content) - return self.create_text_message(str(result)) - except Exception as e: - return self.create_text_message(f"Failed to extract result, error: {str(e)}") diff --git a/api/core/tools/provider/builtin/regex/tools/regex_extract.yaml b/api/core/tools/provider/builtin/regex/tools/regex_extract.yaml deleted file mode 100644 index de4100def176c9..00000000000000 --- a/api/core/tools/provider/builtin/regex/tools/regex_extract.yaml +++ /dev/null @@ -1,38 +0,0 @@ -identity: - name: regex_extract - author: zhuhao - label: - en_US: Regex Extract - zh_Hans: 正则表达式内容提取 - pt_BR: Regex Extract -description: - human: - en_US: A tool for extracting matching content using regular expressions. - zh_Hans: 一个用于利用正则表达式提取匹配内容结果的工具。 - pt_BR: A tool for extracting matching content using regular expressions. - llm: A tool for extracting matching content using regular expressions. -parameters: - - name: content - type: string - required: true - label: - en_US: Content to be extracted - zh_Hans: 内容 - pt_BR: Content to be extracted - human_description: - en_US: Content to be extracted - zh_Hans: 内容 - pt_BR: Content to be extracted - form: llm - - name: expression - type: string - required: true - label: - en_US: Regular expression - zh_Hans: 正则表达式 - pt_BR: Regular expression - human_description: - en_US: Regular expression - zh_Hans: 正则表达式 - pt_BR: Regular expression - form: llm diff --git a/api/core/tools/provider/builtin/searchapi/_assets/icon.svg b/api/core/tools/provider/builtin/searchapi/_assets/icon.svg deleted file mode 100644 index 7660b2f351c43b..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/searchapi/searchapi.py b/api/core/tools/provider/builtin/searchapi/searchapi.py deleted file mode 100644 index 109bba8b2d8f79..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/searchapi.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.searchapi.tools.google import GoogleTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SearchAPIProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - GoogleTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={"query": "SearchApi dify", "result_type": "link"}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/searchapi/searchapi.yaml b/api/core/tools/provider/builtin/searchapi/searchapi.yaml deleted file mode 100644 index c2fa3f398e192f..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/searchapi.yaml +++ /dev/null @@ -1,34 +0,0 @@ -identity: - author: SearchApi - name: searchapi - label: - en_US: SearchApi - zh_Hans: SearchApi - pt_BR: SearchApi - description: - en_US: SearchApi is a robust real-time SERP API delivering structured data from a collection of search engines including Google Search, Google Jobs, YouTube, Google News, and many more. - zh_Hans: SearchApi 是一个强大的实时 SERP API，可提供来自 Google 搜索、Google 招聘、YouTube、Google 新闻等搜索引擎集合的结构化数据。 - pt_BR: SearchApi is a robust real-time SERP API delivering structured data from a collection of search engines including Google Search, Google Jobs, YouTube, Google News, and many more. - icon: icon.svg - tags: - - search - - business - - news - - productivity -credentials_for_provider: - searchapi_api_key: - type: secret-input - required: true - label: - en_US: SearchApi API key - zh_Hans: SearchApi API key - pt_BR: SearchApi API key - placeholder: - en_US: Please input your SearchApi API key - zh_Hans: 请输入你的 SearchApi API key - pt_BR: Please input your SearchApi API key - help: - en_US: Get your SearchApi API key from SearchApi - zh_Hans: 从 SearchApi 获取您的 SearchApi API key - pt_BR: Get your SearchApi API key from SearchApi - url: https://www.searchapi.io/ diff --git a/api/core/tools/provider/builtin/searchapi/tools/google.py b/api/core/tools/provider/builtin/searchapi/tools/google.py deleted file mode 100644 index 29d36f5f232694..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/google.py +++ /dev/null @@ -1,112 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SEARCH_API_URL = "https://www.searchapi.io/api/v1/search" - - -class SearchAPI: - """ - SearchAPI tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SearchAPI tool provider.""" - self.searchapi_api_key = api_key - - def run(self, query: str, **kwargs: Any) -> str: - """Run query through SearchAPI and parse result.""" - type = kwargs.get("result_type", "text") - return self._process_response(self.results(query, **kwargs), type=type) - - def results(self, query: str, **kwargs: Any) -> dict: - """Run query through SearchAPI and return the raw result.""" - params = self.get_params(query, **kwargs) - response = requests.get( - url=SEARCH_API_URL, - params=params, - headers={"Authorization": f"Bearer {self.searchapi_api_key}"}, - ) - response.raise_for_status() - return response.json() - - def get_params(self, query: str, **kwargs: Any) -> dict[str, str]: - """Get parameters for SearchAPI.""" - return { - "engine": "google", - "q": query, - **{key: value for key, value in kwargs.items() if value not in {None, ""}}, - } - - @staticmethod - def _process_response(res: dict, type: str) -> str: - """Process response from SearchAPI.""" - if "error" in res: - return res["error"] - - toret = "" - if type == "text": - if "answer_box" in res and "answer" in res["answer_box"]: - toret += res["answer_box"]["answer"] + "\n" - if "answer_box" in res and "snippet" in res["answer_box"]: - toret += res["answer_box"]["snippet"] + "\n" - if "knowledge_graph" in res and "description" in res["knowledge_graph"]: - toret += res["knowledge_graph"]["description"] + "\n" - if "organic_results" in res and "snippet" in res["organic_results"][0]: - for item in res["organic_results"]: - toret += "content: " + item["snippet"] + "\n" + "link: " + item["link"] + "\n" - if toret == "": - toret = "No good search result found" - - elif type == "link": - if "answer_box" in res and "organic_result" in res["answer_box"]: - if "title" in res["answer_box"]["organic_result"]: - toret = ( - f"[{res['answer_box']['organic_result']['title']}]" - f"({res['answer_box']['organic_result']['link']})\n" - ) - elif "organic_results" in res and "link" in res["organic_results"][0]: - toret = "" - for item in res["organic_results"]: - toret += f"[{item['title']}]({item['link']})\n" - elif "related_questions" in res and "link" in res["related_questions"][0]: - toret = "" - for item in res["related_questions"]: - toret += f"[{item['title']}]({item['link']})\n" - elif "related_searches" in res and "link" in res["related_searches"][0]: - toret = "" - for item in res["related_searches"]: - toret += f"[{item['title']}]({item['link']})\n" - else: - toret = "No good search result found" - return toret - - -class GoogleTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SearchApi tool. - """ - query = tool_parameters["query"] - result_type = tool_parameters["result_type"] - num = tool_parameters.get("num", 10) - google_domain = tool_parameters.get("google_domain", "google.com") - gl = tool_parameters.get("gl", "us") - hl = tool_parameters.get("hl", "en") - location = tool_parameters.get("location") - - api_key = self.runtime.credentials["searchapi_api_key"] - result = SearchAPI(api_key).run( - query, result_type=result_type, num=num, google_domain=google_domain, gl=gl, hl=hl, location=location - ) - - if result_type == "text": - return self.create_text_message(text=result) - return self.create_link_message(link=result) diff --git a/api/core/tools/provider/builtin/searchapi/tools/google.yaml b/api/core/tools/provider/builtin/searchapi/tools/google.yaml deleted file mode 100644 index 0dc1b6672436cd..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/google.yaml +++ /dev/null @@ -1,1921 +0,0 @@ -identity: - name: google_search_api - author: SearchApi - label: - en_US: Google Search API - zh_Hans: Google Search API -description: - human: - en_US: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine. - zh_Hans: 一种从 Google 搜索引擎检索答案框、知识图、片段和网页的工具。 - llm: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 询问 - human_description: - en_US: Defines the query you want to search. - zh_Hans: 定义您要搜索的查询。 - llm_description: Defines the search query you want to search. - form: llm - - name: result_type - type: select - required: true - options: - - value: text - label: - en_US: text - zh_Hans: 文本 - - value: link - label: - en_US: link - zh_Hans: 链接 - default: text - label: - en_US: Result type - zh_Hans: 结果类型 - human_description: - en_US: used for selecting the result type, text or link - zh_Hans: 用于选择结果类型，使用文本还是链接进行展示 - form: form - - name: location - type: string - required: false - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: llm - - name: gl - type: select - label: - en_US: Country - zh_Hans: 国家 - required: false - human_description: - en_US: Defines the country of the search. Default is "US". - zh_Hans: 定义搜索的国家/地区。默认为“美国”。 - llm_description: Defines the gl parameter of the Google search. - form: form - default: US - options: - - value: AF - label: - en_US: Afghanistan - zh_Hans: 阿富汗 - pt_BR: Afeganistão - - value: AL - label: - en_US: Albania - zh_Hans: 阿尔巴尼亚 - pt_BR: Albânia - - value: DZ - label: - en_US: Algeria - zh_Hans: 阿尔及利亚 - pt_BR: Argélia - - value: AS - label: - en_US: American Samoa - zh_Hans: 美属萨摩亚 - pt_BR: Samoa Americana - - value: AD - label: - en_US: Andorra - zh_Hans: 安道尔 - pt_BR: Andorra - - value: AO - label: - en_US: Angola - zh_Hans: 安哥拉 - pt_BR: Angola - - value: AI - label: - en_US: Anguilla - zh_Hans: 安圭拉 - pt_BR: Anguilla - - value: AQ - label: - en_US: Antarctica - zh_Hans: 南极洲 - pt_BR: Antártica - - value: AG - label: - en_US: Antigua and Barbuda - zh_Hans: 安提瓜和巴布达 - pt_BR: Antígua e Barbuda - - value: AR - label: - en_US: Argentina - zh_Hans: 阿根廷 - pt_BR: Argentina - - value: AM - label: - en_US: Armenia - zh_Hans: 亚美尼亚 - pt_BR: Armênia - - value: AW - label: - en_US: Aruba - zh_Hans: 阿鲁巴 - pt_BR: Aruba - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Austrália - - value: AT - label: - en_US: Austria - zh_Hans: 奥地利 - pt_BR: Áustria - - value: AZ - label: - en_US: Azerbaijan - zh_Hans: 阿塞拜疆 - pt_BR: Azerbaijão - - value: BS - label: - en_US: Bahamas - zh_Hans: 巴哈马 - pt_BR: Bahamas - - value: BH - label: - en_US: Bahrain - zh_Hans: 巴林 - pt_BR: Bahrein - - value: BD - label: - en_US: Bangladesh - zh_Hans: 孟加拉国 - pt_BR: Bangladesh - - value: BB - label: - en_US: Barbados - zh_Hans: 巴巴多斯 - pt_BR: Barbados - - value: BY - label: - en_US: Belarus - zh_Hans: 白俄罗斯 - pt_BR: Bielorrússia - - value: BE - label: - en_US: Belgium - zh_Hans: 比利时 - pt_BR: Bélgica - - value: BZ - label: - en_US: Belize - zh_Hans: 伯利兹 - pt_BR: Belize - - value: BJ - label: - en_US: Benin - zh_Hans: 贝宁 - pt_BR: Benim - - value: BM - label: - en_US: Bermuda - zh_Hans: 百慕大 - pt_BR: Bermudas - - value: BT - label: - en_US: Bhutan - zh_Hans: 不丹 - pt_BR: Butão - - value: BO - label: - en_US: Bolivia - zh_Hans: 玻利维亚 - pt_BR: Bolívia - - value: BA - label: - en_US: Bosnia and Herzegovina - zh_Hans: 波斯尼亚和黑塞哥维那 - pt_BR: Bósnia e Herzegovina - - value: BW - label: - en_US: Botswana - zh_Hans: 博茨瓦纳 - pt_BR: Botsuana - - value: BV - label: - en_US: Bouvet Island - zh_Hans: 布韦岛 - pt_BR: Ilha Bouvet - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brasil - - value: IO - label: - en_US: British Indian Ocean Territory - zh_Hans: 英属印度洋领地 - pt_BR: Território Britânico do Oceano Índico - - value: BN - label: - en_US: Brunei Darussalam - zh_Hans: 文莱 - pt_BR: Brunei Darussalam - - value: BG - label: - en_US: Bulgaria - zh_Hans: 保加利亚 - pt_BR: Bulgária - - value: BF - label: - en_US: Burkina Faso - zh_Hans: 布基纳法索 - pt_BR: Burkina Faso - - value: BI - label: - en_US: Burundi - zh_Hans: 布隆迪 - pt_BR: Burundi - - value: KH - label: - en_US: Cambodia - zh_Hans: 柬埔寨 - pt_BR: Camboja - - value: CM - label: - en_US: Cameroon - zh_Hans: 喀麦隆 - pt_BR: Camarões - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canadá - - value: CV - label: - en_US: Cape Verde - zh_Hans: 佛得角 - pt_BR: Cabo Verde - - value: KY - label: - en_US: Cayman Islands - zh_Hans: 开曼群岛 - pt_BR: Ilhas Cayman - - value: CF - label: - en_US: Central African Republic - zh_Hans: 中非共和国 - pt_BR: República Centro-Africana - - value: TD - label: - en_US: Chad - zh_Hans: 乍得 - pt_BR: Chade - - value: CL - label: - en_US: Chile - zh_Hans: 智利 - pt_BR: Chile - - value: CN - label: - en_US: China - zh_Hans: 中国 - pt_BR: China - - value: CX - label: - en_US: Christmas Island - zh_Hans: 圣诞岛 - pt_BR: Ilha do Natal - - value: CC - label: - en_US: Cocos (Keeling) Islands - zh_Hans: 科科斯（基林）群岛 - pt_BR: Ilhas Cocos (Keeling) - - value: CO - label: - en_US: Colombia - zh_Hans: 哥伦比亚 - pt_BR: Colômbia - - value: KM - label: - en_US: Comoros - zh_Hans: 科摩罗 - pt_BR: Comores - - value: CG - label: - en_US: Congo - zh_Hans: 刚果 - pt_BR: Congo - - value: CD - label: - en_US: Congo, the Democratic Republic of the - zh_Hans: 刚果民主共和国 - pt_BR: Congo, República Democrática do - - value: CK - label: - en_US: Cook Islands - zh_Hans: 库克群岛 - pt_BR: Ilhas Cook - - value: CR - label: - en_US: Costa Rica - zh_Hans: 哥斯达黎加 - pt_BR: Costa Rica - - value: CI - label: - en_US: Cote D'ivoire - zh_Hans: 科特迪瓦 - pt_BR: Costa do Marfim - - value: HR - label: - en_US: Croatia - zh_Hans: 克罗地亚 - pt_BR: Croácia - - value: CU - label: - en_US: Cuba - zh_Hans: 古巴 - pt_BR: Cuba - - value: CY - label: - en_US: Cyprus - zh_Hans: 塞浦路斯 - pt_BR: Chipre - - value: CZ - label: - en_US: Czech Republic - zh_Hans: 捷克共和国 - pt_BR: República Tcheca - - value: DK - label: - en_US: Denmark - zh_Hans: 丹麦 - pt_BR: Dinamarca - - value: DJ - label: - en_US: Djibouti - zh_Hans: 吉布提 - pt_BR: Djibuti - - value: DM - label: - en_US: Dominica - zh_Hans: 多米尼克 - pt_BR: Dominica - - value: DO - label: - en_US: Dominican Republic - zh_Hans: 多米尼加共和国 - pt_BR: República Dominicana - - value: EC - label: - en_US: Ecuador - zh_Hans: 厄瓜多尔 - pt_BR: Equador - - value: EG - label: - en_US: Egypt - zh_Hans: 埃及 - pt_BR: Egito - - value: SV - label: - en_US: El Salvador - zh_Hans: 萨尔瓦多 - pt_BR: El Salvador - - value: GQ - label: - en_US: Equatorial Guinea - zh_Hans: 赤道几内亚 - pt_BR: Guiné Equatorial - - value: ER - label: - en_US: Eritrea - zh_Hans: 厄立特里亚 - pt_BR: Eritreia - - value: EE - label: - en_US: Estonia - zh_Hans: 爱沙尼亚 - pt_BR: Estônia - - value: ET - label: - en_US: Ethiopia - zh_Hans: 埃塞俄比亚 - pt_BR: Etiópia - - value: FK - label: - en_US: Falkland Islands (Malvinas) - zh_Hans: 福克兰群岛（马尔维纳斯） - pt_BR: Ilhas Falkland (Malvinas) - - value: FO - label: - en_US: Faroe Islands - zh_Hans: 法罗群岛 - pt_BR: Ilhas Faroe - - value: FJ - label: - en_US: Fiji - zh_Hans: 斐济 - pt_BR: Fiji - - value: FI - label: - en_US: Finland - zh_Hans: 芬兰 - pt_BR: Finlândia - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: França - - value: GF - label: - en_US: French Guiana - zh_Hans: 法属圭亚那 - pt_BR: Guiana Francesa - - value: PF - label: - en_US: French Polynesia - zh_Hans: 法属波利尼西亚 - pt_BR: Polinésia Francesa - - value: TF - label: - en_US: French Southern Territories - zh_Hans: 法属南部领地 - pt_BR: Territórios Franceses do Sul - - value: GA - label: - en_US: Gabon - zh_Hans: 加蓬 - pt_BR: Gabão - - value: GM - label: - en_US: Gambia - zh_Hans: 冈比亚 - pt_BR: Gâmbia - - value: GE - label: - en_US: Georgia - zh_Hans: 格鲁吉亚 - pt_BR: Geórgia - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Alemanha - - value: GH - label: - en_US: Ghana - zh_Hans: 加纳 - pt_BR: Gana - - value: GI - label: - en_US: Gibraltar - zh_Hans: 直布罗陀 - pt_BR: Gibraltar - - value: GR - label: - en_US: Greece - zh_Hans: 希腊 - pt_BR: Grécia - - value: GL - label: - en_US: Greenland - zh_Hans: 格陵兰 - pt_BR: Groenlândia - - value: GD - label: - en_US: Grenada - zh_Hans: 格林纳达 - pt_BR: Granada - - value: GP - label: - en_US: Guadeloupe - zh_Hans: 瓜德罗普 - pt_BR: Guadalupe - - value: GU - label: - en_US: Guam - zh_Hans: 关岛 - pt_BR: Guam - - value: GT - label: - en_US: Guatemala - zh_Hans: 危地马拉 - pt_BR: Guatemala - - value: GN - label: - en_US: Guinea - zh_Hans: 几内亚 - pt_BR: Guiné - - value: GW - label: - en_US: Guinea-Bissau - zh_Hans: 几内亚比绍 - pt_BR: Guiné-Bissau - - value: GY - label: - en_US: Guyana - zh_Hans: 圭亚那 - pt_BR: Guiana - - value: HT - label: - en_US: Haiti - zh_Hans: 海地 - pt_BR: Haiti - - value: HM - label: - en_US: Heard Island and McDonald Islands - zh_Hans: 赫德岛和麦克唐纳群岛 - pt_BR: Ilha Heard e Ilhas McDonald - - value: VA - label: - en_US: Holy See (Vatican City State) - zh_Hans: 教廷（梵蒂冈城国） - pt_BR: Santa Sé (Estado da Cidade do Vaticano) - - value: HN - label: - en_US: Honduras - zh_Hans: 洪都拉斯 - pt_BR: Honduras - - value: HK - label: - en_US: Hong Kong - zh_Hans: 香港 - pt_BR: Hong Kong - - value: HU - label: - en_US: Hungary - zh_Hans: 匈牙利 - pt_BR: Hungria - - value: IS - label: - en_US: Iceland - zh_Hans: 冰岛 - pt_BR: Islândia - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: Índia - - value: ID - label: - en_US: Indonesia - zh_Hans: 印度尼西亚 - pt_BR: Indonésia - - value: IR - label: - en_US: Iran, Islamic Republic of - zh_Hans: 伊朗 - pt_BR: Irã - - value: IQ - label: - en_US: Iraq - zh_Hans: 伊拉克 - pt_BR: Iraque - - value: IE - label: - en_US: Ireland - zh_Hans: 爱尔兰 - pt_BR: Irlanda - - value: IL - label: - en_US: Israel - zh_Hans: 以色列 - pt_BR: Israel - - value: IT - label: - en_US: Italy - zh_Hans: 意大利 - pt_BR: Itália - - value: JM - label: - en_US: Jamaica - zh_Hans: 牙买加 - pt_BR: Jamaica - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japão - - value: JO - label: - en_US: Jordan - zh_Hans: 约旦 - pt_BR: Jordânia - - value: KZ - label: - en_US: Kazakhstan - zh_Hans: 哈萨克斯坦 - pt_BR: Cazaquistão - - value: KE - label: - en_US: Kenya - zh_Hans: 肯尼亚 - pt_BR: Quênia - - value: KI - label: - en_US: Kiribati - zh_Hans: 基里巴斯 - pt_BR: Kiribati - - value: KP - label: - en_US: Korea, Democratic People's Republic of - zh_Hans: 朝鲜 - pt_BR: Coreia, República Democrática Popular da - - value: KR - label: - en_US: Korea, Republic of - zh_Hans: 韩国 - pt_BR: Coreia, República da - - value: KW - label: - en_US: Kuwait - zh_Hans: 科威特 - pt_BR: Kuwait - - value: KG - label: - en_US: Kyrgyzstan - zh_Hans: 吉尔吉斯斯坦 - pt_BR: Quirguistão - - value: LA - label: - en_US: Lao People's Democratic Republic - zh_Hans: 老挝 - pt_BR: República Democrática Popular do Laos - - value: LV - label: - en_US: Latvia - zh_Hans: 拉脱维亚 - pt_BR: Letônia - - value: LB - label: - en_US: Lebanon - zh_Hans: 黎巴嫩 - pt_BR: Líbano - - value: LS - label: - en_US: Lesotho - zh_Hans: 莱索托 - pt_BR: Lesoto - - value: LR - label: - en_US: Liberia - zh_Hans: 利比里亚 - pt_BR: Libéria - - value: LY - label: - en_US: Libyan Arab Jamahiriya - zh_Hans: 利比亚 - pt_BR: Líbia - - value: LI - label: - en_US: Liechtenstein - zh_Hans: 列支敦士登 - pt_BR: Liechtenstein - - value: LT - label: - en_US: Lithuania - zh_Hans: 立陶宛 - pt_BR: Lituânia - - value: LU - label: - en_US: Luxembourg - zh_Hans: 卢森堡 - pt_BR: Luxemburgo - - value: MO - label: - en_US: Macao - zh_Hans: 澳门 - pt_BR: Macau - - value: MK - label: - en_US: Macedonia, the Former Yugosalv Republic of - zh_Hans: 前南斯拉夫马其顿共和国 - pt_BR: Macedônia, Ex-República Iugoslava da - - value: MG - label: - en_US: Madagascar - zh_Hans: 马达加斯加 - pt_BR: Madagascar - - value: MW - label: - en_US: Malawi - zh_Hans: 马拉维 - pt_BR: Malaui - - value: MY - label: - en_US: Malaysia - zh_Hans: 马来西亚 - pt_BR: Malásia - - value: MV - label: - en_US: Maldives - zh_Hans: 马尔代夫 - pt_BR: Maldivas - - value: ML - label: - en_US: Mali - zh_Hans: 马里 - pt_BR: Mali - - value: MT - label: - en_US: Malta - zh_Hans: 马耳他 - pt_BR: Malta - - value: MH - label: - en_US: Marshall Islands - zh_Hans: 马绍尔群岛 - pt_BR: Ilhas Marshall - - value: MQ - label: - en_US: Martinique - zh_Hans: 马提尼克 - pt_BR: Martinica - - value: MR - label: - en_US: Mauritania - zh_Hans: 毛里塔尼亚 - pt_BR: Mauritânia - - value: MU - label: - en_US: Mauritius - zh_Hans: 毛里求斯 - pt_BR: Maurício - - value: YT - label: - en_US: Mayotte - zh_Hans: 马约特 - pt_BR: Mayotte - - value: MX - label: - en_US: Mexico - zh_Hans: 墨西哥 - pt_BR: México - - value: FM - label: - en_US: Micronesia, Federated States of - zh_Hans: 密克罗尼西亚联邦 - pt_BR: Micronésia, Estados Federados da - - value: MD - label: - en_US: Moldova, Republic of - zh_Hans: 摩尔多瓦共和国 - pt_BR: Moldávia, República da - - value: MC - label: - en_US: Monaco - zh_Hans: 摩纳哥 - pt_BR: Mônaco - - value: MN - label: - en_US: Mongolia - zh_Hans: 蒙古 - pt_BR: Mongólia - - value: MS - label: - en_US: Montserrat - zh_Hans: 蒙特塞拉特 - pt_BR: Montserrat - - value: MA - label: - en_US: Morocco - zh_Hans: 摩洛哥 - pt_BR: Marrocos - - value: MZ - label: - en_US: Mozambique - zh_Hans: 莫桑比克 - pt_BR: Moçambique - - value: MM - label: - en_US: Myanmar - zh_Hans: 缅甸 - pt_BR: Mianmar - - value: NA - label: - en_US: Namibia - zh_Hans: 纳米比亚 - pt_BR: Namíbia - - value: NR - label: - en_US: Nauru - zh_Hans: 瑙鲁 - pt_BR: Nauru - - value: NP - label: - en_US: Nepal - zh_Hans: 尼泊尔 - pt_BR: Nepal - - value: NL - label: - en_US: Netherlands - zh_Hans: 荷兰 - pt_BR: Países Baixos - - value: AN - label: - en_US: Netherlands Antilles - zh_Hans: 荷属安的列斯 - pt_BR: Antilhas Holandesas - - value: NC - label: - en_US: New Caledonia - zh_Hans: 新喀里多尼亚 - pt_BR: Nova Caledônia - - value: NZ - label: - en_US: New Zealand - zh_Hans: 新西兰 - pt_BR: Nova Zelândia - - value: NI - label: - en_US: Nicaragua - zh_Hans: 尼加拉瓜 - pt_BR: Nicarágua - - value: NE - label: - en_US: Niger - zh_Hans: 尼日尔 - pt_BR: Níger - - value: NG - label: - en_US: Nigeria - zh_Hans: 尼日利亚 - pt_BR: Nigéria - - value: NU - label: - en_US: Niue - zh_Hans: 纽埃 - pt_BR: Niue - - value: NF - label: - en_US: Norfolk Island - zh_Hans: 诺福克岛 - pt_BR: Ilha Norfolk - - value: MP - label: - en_US: Northern Mariana Islands - zh_Hans: 北马里亚纳群岛 - pt_BR: Ilhas Marianas do Norte - - value: "NO" - label: - en_US: Norway - zh_Hans: 挪威 - pt_BR: Noruega - - value: OM - label: - en_US: Oman - zh_Hans: 阿曼 - pt_BR: Omã - - value: PK - label: - en_US: Pakistan - zh_Hans: 巴基斯坦 - pt_BR: Paquistão - - value: PW - label: - en_US: Palau - zh_Hans: 帕劳 - pt_BR: Palau - - value: PS - label: - en_US: Palestinian Territory, Occupied - zh_Hans: 巴勒斯坦领土 - pt_BR: Palestina, Território Ocupado - - value: PA - label: - en_US: Panama - zh_Hans: 巴拿马 - pt_BR: Panamá - - value: PG - label: - en_US: Papua New Guinea - zh_Hans: 巴布亚新几内亚 - pt_BR: Papua Nova Guiné - - value: PY - label: - en_US: Paraguay - zh_Hans: 巴拉圭 - pt_BR: Paraguai - - value: PE - label: - en_US: Peru - zh_Hans: 秘鲁 - pt_BR: Peru - - value: PH - label: - en_US: Philippines - zh_Hans: 菲律宾 - pt_BR: Filipinas - - value: PN - label: - en_US: Pitcairn - zh_Hans: 皮特凯恩岛 - pt_BR: Pitcairn - - value: PL - label: - en_US: Poland - zh_Hans: 波兰 - pt_BR: Polônia - - value: PT - label: - en_US: Portugal - zh_Hans: 葡萄牙 - pt_BR: Portugal - - value: PR - label: - en_US: Puerto Rico - zh_Hans: 波多黎各 - pt_BR: Porto Rico - - value: QA - label: - en_US: Qatar - zh_Hans: 卡塔尔 - pt_BR: Catar - - value: RE - label: - en_US: Reunion - zh_Hans: 留尼旺 - pt_BR: Reunião - - value: RO - label: - en_US: Romania - zh_Hans: 罗马尼亚 - pt_BR: Romênia - - value: RU - label: - en_US: Russian Federation - zh_Hans: 俄罗斯联邦 - pt_BR: Rússia - - value: RW - label: - en_US: Rwanda - zh_Hans: 卢旺达 - pt_BR: Ruanda - - value: SH - label: - en_US: Saint Helena - zh_Hans: 圣赫勒拿 - pt_BR: Santa Helena - - value: KN - label: - en_US: Saint Kitts and Nevis - zh_Hans: 圣基茨和尼维斯 - pt_BR: São Cristóvão e Nevis - - value: LC - label: - en_US: Saint Lucia - zh_Hans: 圣卢西亚 - pt_BR: Santa Lúcia - - value: PM - label: - en_US: Saint Pierre and Miquelon - zh_Hans: 圣皮埃尔和密克隆 - pt_BR: São Pedro e Miquelon - - value: VC - label: - en_US: Saint Vincent and the Grenadines - zh_Hans: 圣文森特和格林纳丁斯 - pt_BR: São Vicente e Granadinas - - value: WS - label: - en_US: Samoa - zh_Hans: 萨摩亚 - pt_BR: Samoa - - value: SM - label: - en_US: San Marino - zh_Hans: 圣马力诺 - pt_BR: San Marino - - value: ST - label: - en_US: Sao Tome and Principe - zh_Hans: 圣多美和普林西比 - pt_BR: São Tomé e Príncipe - - value: SA - label: - en_US: Saudi Arabia - zh_Hans: 沙特阿拉伯 - pt_BR: Arábia Saudita - - value: SN - label: - en_US: Senegal - zh_Hans: 塞内加尔 - pt_BR: Senegal - - value: RS - label: - en_US: Serbia and Montenegro - zh_Hans: 塞尔维亚和黑山 - pt_BR: Sérvia e Montenegro - - value: SC - label: - en_US: Seychelles - zh_Hans: 塞舌尔 - pt_BR: Seicheles - - value: SL - label: - en_US: Sierra Leone - zh_Hans: 塞拉利昂 - pt_BR: Serra Leoa - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapura - - value: SK - label: - en_US: Slovakia - zh_Hans: 斯洛伐克 - pt_BR: Eslováquia - - value: SI - label: - en_US: Slovenia - zh_Hans: 斯洛文尼亚 - pt_BR: Eslovênia - - value: SB - label: - en_US: Solomon Islands - zh_Hans: 所罗门群岛 - pt_BR: Ilhas Salomão - - value: SO - label: - en_US: Somalia - zh_Hans: 索马里 - pt_BR: Somália - - value: ZA - label: - en_US: South Africa - zh_Hans: 南非 - pt_BR: África do Sul - - value: GS - label: - en_US: South Georgia and the South Sandwich Islands - zh_Hans: 南乔治亚和南桑威奇群岛 - pt_BR: Geórgia do Sul e Ilhas Sandwich do Sul - - value: ES - label: - en_US: Spain - zh_Hans: 西班牙 - pt_BR: Espanha - - value: LK - label: - en_US: Sri Lanka - zh_Hans: 斯里兰卡 - pt_BR: Sri Lanka - - value: SD - label: - en_US: Sudan - zh_Hans: 苏丹 - pt_BR: Sudão - - value: SR - label: - en_US: Suriname - zh_Hans: 苏里南 - pt_BR: Suriname - - value: SJ - label: - en_US: Svalbard and Jan Mayen - zh_Hans: 斯瓦尔巴特和扬马延岛 - pt_BR: Svalbard e Jan Mayen - - value: SZ - label: - en_US: Swaziland - zh_Hans: 斯威士兰 - pt_BR: Essuatíni - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Suécia - - value: CH - label: - en_US: Switzerland - zh_Hans: 瑞士 - pt_BR: Suíça - - value: SY - label: - en_US: Syrian Arab Republic - zh_Hans: 叙利亚 - pt_BR: Síria - - value: TW - label: - en_US: Taiwan, Province of China - zh_Hans: 台湾 - pt_BR: Taiwan - - value: TJ - label: - en_US: Tajikistan - zh_Hans: 塔吉克斯坦 - pt_BR: Tajiquistão - - value: TZ - label: - en_US: Tanzania, United Republic of - zh_Hans: 坦桑尼亚联合共和国 - pt_BR: Tanzânia - - value: TH - label: - en_US: Thailand - zh_Hans: 泰国 - pt_BR: Tailândia - - value: TL - label: - en_US: Timor-Leste - zh_Hans: 东帝汶 - pt_BR: Timor-Leste - - value: TG - label: - en_US: Togo - zh_Hans: 多哥 - pt_BR: Togo - - value: TK - label: - en_US: Tokelau - zh_Hans: 托克劳 - pt_BR: Toquelau - - value: TO - label: - en_US: Tonga - zh_Hans: 汤加 - pt_BR: Tonga - - value: TT - label: - en_US: Trinidad and Tobago - zh_Hans: 特立尼达和多巴哥 - pt_BR: Trindade e Tobago - - value: TN - label: - en_US: Tunisia - zh_Hans: 突尼斯 - pt_BR: Tunísia - - value: TR - label: - en_US: Turkey - zh_Hans: 土耳其 - pt_BR: Turquia - - value: TM - label: - en_US: Turkmenistan - zh_Hans: 土库曼斯坦 - pt_BR: Turcomenistão - - value: TC - label: - en_US: Turks and Caicos Islands - zh_Hans: 特克斯和凯科斯群岛 - pt_BR: Ilhas Turks e Caicos - - value: TV - label: - en_US: Tuvalu - zh_Hans: 图瓦卢 - pt_BR: Tuvalu - - value: UG - label: - en_US: Uganda - zh_Hans: 乌干达 - pt_BR: Uganda - - value: UA - label: - en_US: Ukraine - zh_Hans: 乌克兰 - pt_BR: Ucrânia - - value: AE - label: - en_US: United Arab Emirates - zh_Hans: 阿联酋 - pt_BR: Emirados Árabes Unidos - - value: UK - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: Reino Unido - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: Reino Unido - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: Estados Unidos - - value: UM - label: - en_US: United States Minor Outlying Islands - zh_Hans: 美国本土外小岛屿 - pt_BR: Ilhas Menores Distantes dos Estados Unidos - - value: UY - label: - en_US: Uruguay - zh_Hans: 乌拉圭 - pt_BR: Uruguai - - value: UZ - label: - en_US: Uzbekistan - zh_Hans: 乌兹别克斯坦 - pt_BR: Uzbequistão - - value: VU - label: - en_US: Vanuatu - zh_Hans: 瓦努阿图 - pt_BR: Vanuatu - - value: VE - label: - en_US: Venezuela - zh_Hans: 委内瑞拉 - pt_BR: Venezuela - - value: VN - label: - en_US: Viet Nam - zh_Hans: 越南 - pt_BR: Vietnã - - value: VG - label: - en_US: Virgin Islands, British - zh_Hans: 英属维尔京群岛 - pt_BR: Ilhas Virgens Britânicas - - value: VI - label: - en_US: Virgin Islands, U.S. - zh_Hans: 美属维尔京群岛 - pt_BR: Ilhas Virgens dos EUA - - value: WF - label: - en_US: Wallis and Futuna - zh_Hans: 瓦利斯和富图纳群岛 - pt_BR: Wallis e Futuna - - value: EH - label: - en_US: Western Sahara - zh_Hans: 西撒哈拉 - pt_BR: Saara Ocidental - - value: YE - label: - en_US: Yemen - zh_Hans: 也门 - pt_BR: Iémen - - value: ZM - label: - en_US: Zambia - zh_Hans: 赞比亚 - pt_BR: Zâmbia - - value: ZW - label: - en_US: Zimbabwe - zh_Hans: 津巴布韦 - pt_BR: Zimbábue - - name: hl - type: select - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: Defines the interface language of the search. Default is "en". - zh_Hans: 定义搜索的界面语言。默认为“en”。 - required: false - default: en - form: form - options: - - value: af - label: - en_US: Afrikaans - zh_Hans: 南非语 - - value: ak - label: - en_US: Akan - zh_Hans: 阿坎语 - - value: sq - label: - en_US: Albanian - zh_Hans: 阿尔巴尼亚语 - - value: ws - label: - en_US: Samoa - zh_Hans: 萨摩亚语 - - value: am - label: - en_US: Amharic - zh_Hans: 阿姆哈拉语 - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: hy - label: - en_US: Armenian - zh_Hans: 亚美尼亚语 - - value: az - label: - en_US: Azerbaijani - zh_Hans: 阿塞拜疆语 - - value: eu - label: - en_US: Basque - zh_Hans: 巴斯克语 - - value: be - label: - en_US: Belarusian - zh_Hans: 白俄罗斯语 - - value: bem - label: - en_US: Bemba - zh_Hans: 班巴语 - - value: bn - label: - en_US: Bengali - zh_Hans: 孟加拉语 - - value: bh - label: - en_US: Bihari - zh_Hans: 比哈尔语 - - value: xx-bork - label: - en_US: Bork, bork, bork! - zh_Hans: 博克语 - - value: bs - label: - en_US: Bosnian - zh_Hans: 波斯尼亚语 - - value: br - label: - en_US: Breton - zh_Hans: 布列塔尼语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: bt - label: - en_US: Bhutanese - zh_Hans: 不丹语 - - value: km - label: - en_US: Cambodian - zh_Hans: 高棉语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: chr - label: - en_US: Cherokee - zh_Hans: 切罗基语 - - value: ny - label: - en_US: Chichewa - zh_Hans: 齐切瓦语 - - value: zh-cn - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - - value: zh-tw - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - - value: co - label: - en_US: Corsican - zh_Hans: 科西嘉语 - - value: hr - label: - en_US: Croatian - zh_Hans: 克罗地亚语 - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: xx-elmer - label: - en_US: Elmer Fudd - zh_Hans: 艾尔默福德语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: eo - label: - en_US: Esperanto - zh_Hans: 世界语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: ee - label: - en_US: Ewe - zh_Hans: 埃维语 - - value: fo - label: - en_US: Faroese - zh_Hans: 法罗语 - - value: tl - label: - en_US: Filipino - zh_Hans: 菲律宾语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: fy - label: - en_US: Frisian - zh_Hans: 弗里西亚语 - - value: gaa - label: - en_US: Ga - zh_Hans: 加语 - - value: gl - label: - en_US: Galician - zh_Hans: 加利西亚语 - - value: ka - label: - en_US: Georgian - zh_Hans: 格鲁吉亚语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: kl - label: - en_US: Greenlandic - zh_Hans: 格陵兰语 - - value: gn - label: - en_US: Guarani - zh_Hans: 瓜拉尼语 - - value: gu - label: - en_US: Gujarati - zh_Hans: 古吉拉特语 - - value: xx-hacker - label: - en_US: Hacker - zh_Hans: 黑客语 - - value: ht - label: - en_US: Haitian Creole - zh_Hans: 海地克里奥尔语 - - value: ha - label: - en_US: Hausa - zh_Hans: 豪萨语 - - value: haw - label: - en_US: Hawaiian - zh_Hans: 夏威夷语 - - value: iw - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: is - label: - en_US: Icelandic - zh_Hans: 冰岛语 - - value: ig - label: - en_US: Igbo - zh_Hans: 伊博语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - - value: ia - label: - en_US: Interlingua - zh_Hans: 国际语 - - value: ga - label: - en_US: Irish - zh_Hans: 爱尔兰语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: jw - label: - en_US: Javanese - zh_Hans: 爪哇语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: kk - label: - en_US: Kazakh - zh_Hans: 哈萨克语 - - value: rw - label: - en_US: Kinyarwanda - zh_Hans: 基尼亚卢旺达语 - - value: rn - label: - en_US: Kirundi - zh_Hans: 基隆迪语 - - value: xx-klingon - label: - en_US: Klingon - zh_Hans: 克林贡语 - - value: kg - label: - en_US: Kongo - zh_Hans: 刚果语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: kri - label: - en_US: Krio (Sierra Leone) - zh_Hans: 塞拉利昂克里奥尔语 - - value: ku - label: - en_US: Kurdish - zh_Hans: 库尔德语 - - value: ckb - label: - en_US: Kurdish (Soranî) - zh_Hans: 库尔德语（索拉尼） - - value: ky - label: - en_US: Kyrgyz - zh_Hans: 吉尔吉斯语 - - value: lo - label: - en_US: Laothian - zh_Hans: 老挝语 - - value: la - label: - en_US: Latin - zh_Hans: 拉丁语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: ln - label: - en_US: Lingala - zh_Hans: 林加拉语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: loz - label: - en_US: Lozi - zh_Hans: 洛齐语 - - value: lg - label: - en_US: Luganda - zh_Hans: 卢干达语 - - value: ach - label: - en_US: Luo - zh_Hans: 卢奥语 - - value: mk - label: - en_US: Macedonian - zh_Hans: 马其顿语 - - value: mg - label: - en_US: Malagasy - zh_Hans: 马尔加什语 - - value: my - label: - en_US: Malay - zh_Hans: 马来语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mt - label: - en_US: Maltese - zh_Hans: 马耳他语 - - value: mv - label: - en_US: Maldives - zh_Hans: 马尔代夫语 - - value: mi - label: - en_US: Maori - zh_Hans: 毛利语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: mfe - label: - en_US: Mauritian Creole - zh_Hans: 毛里求斯克里奥尔语 - - value: mo - label: - en_US: Moldavian - zh_Hans: 摩尔达维亚语 - - value: mn - label: - en_US: Mongolian - zh_Hans: 蒙古语 - - value: sr-me - label: - en_US: Montenegrin - zh_Hans: 黑山语 - - value: ne - label: - en_US: Nepali - zh_Hans: 尼泊尔语 - - value: pcm - label: - en_US: Nigerian Pidgin - zh_Hans: 尼日利亚皮钦语 - - value: nso - label: - en_US: Northern Sotho - zh_Hans: 北索托语 - - value: "no" - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: nn - label: - en_US: Norwegian (Nynorsk) - zh_Hans: 挪威语（尼诺斯克语） - - value: oc - label: - en_US: Occitan - zh_Hans: 奥克语 - - value: or - label: - en_US: Oriya - zh_Hans: 奥里亚语 - - value: om - label: - en_US: Oromo - zh_Hans: 奥罗莫语 - - value: ps - label: - en_US: Pashto - zh_Hans: 普什图语 - - value: fa - label: - en_US: Persian - zh_Hans: 波斯语 - - value: xx-pirate - label: - en_US: Pirate - zh_Hans: 海盗语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt - label: - en_US: Portuguese - zh_Hans: 葡萄牙语 - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: qu - label: - en_US: Quechua - zh_Hans: 克丘亚语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: rm - label: - en_US: Romansh - zh_Hans: 罗曼什语 - - value: nyn - label: - en_US: Runyakitara - zh_Hans: 卢尼亚基塔拉语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: gd - label: - en_US: Scots Gaelic - zh_Hans: 苏格兰盖尔语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: sh - label: - en_US: Serbo-Croatian - zh_Hans: 塞尔维亚-克罗地亚语 - - value: st - label: - en_US: Sesotho - zh_Hans: 塞索托语 - - value: tn - label: - en_US: Setswana - zh_Hans: 塞茨瓦纳语 - - value: crs - label: - en_US: Seychellois Creole - zh_Hans: 塞舌尔克里奥尔语 - - value: sn - label: - en_US: Shona - zh_Hans: 绍纳语 - - value: sd - label: - en_US: Sindhi - zh_Hans: 信德语 - - value: si - label: - en_US: Sinhalese - zh_Hans: 僧伽罗语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: so - label: - en_US: Somali - zh_Hans: 索马里语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: es-419 - label: - en_US: Spanish (Latin American) - zh_Hans: 西班牙语（拉丁美洲） - - value: su - label: - en_US: Sundanese - zh_Hans: 巽他语 - - value: sw - label: - en_US: Swahili - zh_Hans: 斯瓦希里语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: tg - label: - en_US: Tajik - zh_Hans: 塔吉克语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: tt - label: - en_US: Tatar - zh_Hans: 鞑靼语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: ti - label: - en_US: Tigrinya - zh_Hans: 提格利尼亚语 - - value: to - label: - en_US: Tonga - zh_Hans: 汤加语 - - value: lua - label: - en_US: Tshiluba - zh_Hans: 卢巴语 - - value: tum - label: - en_US: Tumbuka - zh_Hans: 图布卡语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: tk - label: - en_US: Turkmen - zh_Hans: 土库曼语 - - value: tw - label: - en_US: Twi - zh_Hans: 契维语 - - value: ug - label: - en_US: Uighur - zh_Hans: 维吾尔语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: ur - label: - en_US: Urdu - zh_Hans: 乌尔都语 - - value: uz - label: - en_US: Uzbek - zh_Hans: 乌兹别克语 - - value: vu - label: - en_US: Vanuatu - zh_Hans: 瓦努阿图语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 - - value: cy - label: - en_US: Welsh - zh_Hans: 威尔士语 - - value: wo - label: - en_US: Wolof - zh_Hans: 沃洛夫语 - - value: xh - label: - en_US: Xhosa - zh_Hans: 科萨语 - - value: yi - label: - en_US: Yiddish - zh_Hans: 意第绪语 - - value: yo - label: - en_US: Yoruba - zh_Hans: 约鲁巴语 - - value: zu - label: - en_US: Zulu - zh_Hans: 祖鲁语 - - name: google_domain - type: string - required: false - label: - en_US: google_domain - zh_Hans: google_domain - human_description: - en_US: Defines the Google domain of the search. Default is "google.com". - zh_Hans: 定义搜索的 Google 域。默认为“google.com”。 - llm_description: Defines Google domain in which you want to search. - form: llm - - name: num - type: number - required: false - label: - en_US: num - zh_Hans: num - human_description: - en_US: Specifies the number of results to display per page. Default is 10. Max number - 100, min - 1. - zh_Hans: 指定每页显示的结果数。默认值为 10。最大数量 - 100，最小数量 - 1。 - llm_description: Specifies the num of results to display per page. - form: llm diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.py b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.py deleted file mode 100644 index de42360898b7e0..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.py +++ /dev/null @@ -1,102 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SEARCH_API_URL = "https://www.searchapi.io/api/v1/search" - - -class SearchAPI: - """ - SearchAPI tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SearchAPI tool provider.""" - self.searchapi_api_key = api_key - - def run(self, query: str, **kwargs: Any) -> str: - """Run query through SearchAPI and parse result.""" - type = kwargs.get("result_type", "text") - return self._process_response(self.results(query, **kwargs), type=type) - - def results(self, query: str, **kwargs: Any) -> dict: - """Run query through SearchAPI and return the raw result.""" - params = self.get_params(query, **kwargs) - response = requests.get( - url=SEARCH_API_URL, - params=params, - headers={"Authorization": f"Bearer {self.searchapi_api_key}"}, - ) - response.raise_for_status() - return response.json() - - def get_params(self, query: str, **kwargs: Any) -> dict[str, str]: - """Get parameters for SearchAPI.""" - return { - "engine": "google_jobs", - "q": query, - **{key: value for key, value in kwargs.items() if value not in {None, ""}}, - } - - @staticmethod - def _process_response(res: dict, type: str) -> str: - """Process response from SearchAPI.""" - if "error" in res: - return res["error"] - - toret = "" - if type == "text": - if "jobs" in res and "title" in res["jobs"][0]: - for item in res["jobs"]: - toret += ( - "title: " - + item["title"] - + "\n" - + "company_name: " - + item["company_name"] - + "content: " - + item["description"] - + "\n" - ) - if toret == "": - toret = "No good search result found" - - elif type == "link": - if "jobs" in res and "apply_link" in res["jobs"][0]: - for item in res["jobs"]: - toret += f"[{item['title']} - {item['company_name']}]({item['apply_link']})\n" - else: - toret = "No good search result found" - return toret - - -class GoogleJobsTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SearchApi tool. - """ - query = tool_parameters["query"] - result_type = tool_parameters["result_type"] - is_remote = tool_parameters.get("is_remote") - google_domain = tool_parameters.get("google_domain", "google.com") - gl = tool_parameters.get("gl", "us") - hl = tool_parameters.get("hl", "en") - location = tool_parameters.get("location") - - ltype = 1 if is_remote else None - - api_key = self.runtime.credentials["searchapi_api_key"] - result = SearchAPI(api_key).run( - query, result_type=result_type, google_domain=google_domain, gl=gl, hl=hl, location=location, ltype=ltype - ) - - if result_type == "text": - return self.create_text_message(text=result) - return self.create_link_message(link=result) diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml deleted file mode 100644 index 3e00e20fbd6e33..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml +++ /dev/null @@ -1,1403 +0,0 @@ -identity: - name: google_jobs_api - author: SearchApi - label: - en_US: Google Jobs API - zh_Hans: Google Jobs API -description: - human: - en_US: A tool to retrieve job titles, company names and description from Google Jobs engine. - zh_Hans: 一个从 Google 招聘引擎检索职位名称、公司名称和描述的工具。 - llm: A tool to retrieve job titles, company names and description from Google Jobs engine. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 询问 - human_description: - en_US: Defines the query you want to search. - zh_Hans: 定义您要搜索的查询。 - llm_description: Defines the search query you want to search. - form: llm - - name: result_type - type: select - required: true - options: - - value: text - label: - en_US: text - zh_Hans: 文本 - - value: link - label: - en_US: link - zh_Hans: 链接 - default: text - label: - en_US: Result type - zh_Hans: 结果类型 - human_description: - en_US: used for selecting the result type, text or link - zh_Hans: 用于选择结果类型，使用文本还是链接进行展示 - form: form - - name: location - type: string - required: false - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: llm - - name: gl - type: select - label: - en_US: Country - zh_Hans: 国家 - required: false - human_description: - en_US: Defines the country of the search. Default is "US". - zh_Hans: 定义搜索的国家/地区。默认为“美国”。 - llm_description: Defines the gl parameter of the Google search. - form: form - default: US - options: - - value: DZ - label: - en_US: Algeria - zh_Hans: 阿尔及利亚 - pt_BR: Algeria - - value: AS - label: - en_US: American Samoa - zh_Hans: 美属萨摩亚 - pt_BR: American Samoa - - value: AO - label: - en_US: Angola - zh_Hans: 安哥拉 - pt_BR: Angola - - value: AI - label: - en_US: Anguilla - zh_Hans: 安圭拉 - pt_BR: Anguilla - - value: AG - label: - en_US: Antigua and Barbuda - zh_Hans: 安提瓜和巴布达 - pt_BR: Antigua and Barbuda - - value: AW - label: - en_US: Aruba - zh_Hans: 阿鲁巴 - pt_BR: Aruba - - value: AT - label: - en_US: Austria - zh_Hans: 奥地利 - pt_BR: Austria - - value: BS - label: - en_US: Bahamas - zh_Hans: 巴哈马 - pt_BR: Bahamas - - value: BH - label: - en_US: Bahrain - zh_Hans: 巴林 - pt_BR: Bahrain - - value: BD - label: - en_US: Bangladesh - zh_Hans: 孟加拉国 - pt_BR: Bangladesh - - value: BY - label: - en_US: Belarus - zh_Hans: 白俄罗斯 - pt_BR: Belarus - - value: BE - label: - en_US: Belgium - zh_Hans: 比利时 - pt_BR: Belgium - - value: BZ - label: - en_US: Belize - zh_Hans: 伯利兹 - pt_BR: Belize - - value: BJ - label: - en_US: Benin - zh_Hans: 贝宁 - pt_BR: Benin - - value: BM - label: - en_US: Bermuda - zh_Hans: 百慕大 - pt_BR: Bermuda - - value: BO - label: - en_US: Bolivia - zh_Hans: 玻利维亚 - pt_BR: Bolivia - - value: BW - label: - en_US: Botswana - zh_Hans: 博茨瓦纳 - pt_BR: Botswana - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: IO - label: - en_US: British Indian Ocean Territory - zh_Hans: 英属印度洋领地 - pt_BR: British Indian Ocean Territory - - value: BF - label: - en_US: Burkina Faso - zh_Hans: 布基纳法索 - pt_BR: Burkina Faso - - value: BI - label: - en_US: Burundi - zh_Hans: 布隆迪 - pt_BR: Burundi - - value: CM - label: - en_US: Cameroon - zh_Hans: 喀麦隆 - pt_BR: Cameroon - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: CV - label: - en_US: Cape Verde - zh_Hans: 佛得角 - pt_BR: Cape Verde - - value: KY - label: - en_US: Cayman Islands - zh_Hans: 开曼群岛 - pt_BR: Cayman Islands - - value: CF - label: - en_US: Central African Republic - zh_Hans: 中非共和国 - pt_BR: Central African Republic - - value: TD - label: - en_US: Chad - zh_Hans: 乍得 - pt_BR: Chad - - value: CL - label: - en_US: Chile - zh_Hans: 智利 - pt_BR: Chile - - value: CO - label: - en_US: Colombia - zh_Hans: 哥伦比亚 - pt_BR: Colombia - - value: CD - label: - en_US: Congo, the Democratic Republic of the - zh_Hans: 刚果民主共和国 - pt_BR: Congo, the Democratic Republic of the - - value: CR - label: - en_US: Costa Rica - zh_Hans: 哥斯达黎加 - pt_BR: Costa Rica - - value: CI - label: - en_US: Cote D'ivoire - zh_Hans: 科特迪瓦 - pt_BR: Cote D'ivoire - - value: CU - label: - en_US: Cuba - zh_Hans: 古巴 - pt_BR: Cuba - - value: DK - label: - en_US: Denmark - zh_Hans: 丹麦 - pt_BR: Denmark - - value: DJ - label: - en_US: Djibouti - zh_Hans: 吉布提 - pt_BR: Djibouti - - value: DM - label: - en_US: Dominica - zh_Hans: 多米尼克 - pt_BR: Dominica - - value: DO - label: - en_US: Dominican Republic - zh_Hans: 多米尼加共和国 - pt_BR: Dominican Republic - - value: EC - label: - en_US: Ecuador - zh_Hans: 厄瓜多尔 - pt_BR: Ecuador - - value: EG - label: - en_US: Egypt - zh_Hans: 埃及 - pt_BR: Egypt - - value: SV - label: - en_US: El Salvador - zh_Hans: 萨尔瓦多 - pt_BR: El Salvador - - value: ET - label: - en_US: Ethiopia - zh_Hans: 埃塞俄比亚 - pt_BR: Ethiopia - - value: FK - label: - en_US: Falkland Islands (Malvinas) - zh_Hans: 福克兰群岛（马尔维纳斯） - pt_BR: Falkland Islands (Malvinas) - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: GF - label: - en_US: French Guiana - zh_Hans: 法属圭亚那 - pt_BR: French Guiana - - value: PF - label: - en_US: French Polynesia - zh_Hans: 法属波利尼西亚 - pt_BR: French Polynesia - - value: TF - label: - en_US: French Southern Territories - zh_Hans: 法属南部领地 - pt_BR: French Southern Territories - - value: GA - label: - en_US: Gabon - zh_Hans: 加蓬 - pt_BR: Gabon - - value: GM - label: - en_US: Gambia - zh_Hans: 冈比亚 - pt_BR: Gambia - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: GH - label: - en_US: Ghana - zh_Hans: 加纳 - pt_BR: Ghana - - value: GR - label: - en_US: Greece - zh_Hans: 希腊 - pt_BR: Greece - - value: GP - label: - en_US: Guadeloupe - zh_Hans: 瓜德罗普 - pt_BR: Guadeloupe - - value: GT - label: - en_US: Guatemala - zh_Hans: 危地马拉 - pt_BR: Guatemala - - value: GY - label: - en_US: Guyana - zh_Hans: 圭亚那 - pt_BR: Guyana - - value: HT - label: - en_US: Haiti - zh_Hans: 海地 - pt_BR: Haiti - - value: HN - label: - en_US: Honduras - zh_Hans: 洪都拉斯 - pt_BR: Honduras - - value: HK - label: - en_US: Hong Kong - zh_Hans: 香港 - pt_BR: Hong Kong - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: ID - label: - en_US: Indonesia - zh_Hans: 印度尼西亚 - pt_BR: Indonesia - - value: IQ - label: - en_US: Iraq - zh_Hans: 伊拉克 - pt_BR: Iraq - - value: IT - label: - en_US: Italy - zh_Hans: 意大利 - pt_BR: Italy - - value: JM - label: - en_US: Jamaica - zh_Hans: 牙买加 - pt_BR: Jamaica - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: JO - label: - en_US: Jordan - zh_Hans: 约旦 - pt_BR: Jordan - - value: KZ - label: - en_US: Kazakhstan - zh_Hans: 哈萨克斯坦 - pt_BR: Kazakhstan - - value: KE - label: - en_US: Kenya - zh_Hans: 肯尼亚 - pt_BR: Kenya - - value: KW - label: - en_US: Kuwait - zh_Hans: 科威特 - pt_BR: Kuwait - - value: KG - label: - en_US: Kyrgyzstan - zh_Hans: 吉尔吉斯斯坦 - pt_BR: Kyrgyzstan - - value: LB - label: - en_US: Lebanon - zh_Hans: 黎巴嫩 - pt_BR: Lebanon - - value: LS - label: - en_US: Lesotho - zh_Hans: 莱索托 - pt_BR: Lesotho - - value: LY - label: - en_US: Libyan Arab Jamahiriya - zh_Hans: 利比亚 - pt_BR: Libyan Arab Jamahiriya - - value: MG - label: - en_US: Madagascar - zh_Hans: 马达加斯加 - pt_BR: Madagascar - - value: MW - label: - en_US: Malawi - zh_Hans: 马拉维 - pt_BR: Malawi - - value: MY - label: - en_US: Malaysia - zh_Hans: 马来西亚 - pt_BR: Malaysia - - value: ML - label: - en_US: Mali - zh_Hans: 马里 - pt_BR: Mali - - value: MQ - label: - en_US: Martinique - zh_Hans: 马提尼克 - pt_BR: Martinique - - value: MU - label: - en_US: Mauritius - zh_Hans: 毛里求斯 - pt_BR: Mauritius - - value: YT - label: - en_US: Mayotte - zh_Hans: 马约特 - pt_BR: Mayotte - - value: MX - label: - en_US: Mexico - zh_Hans: 墨西哥 - pt_BR: Mexico - - value: MS - label: - en_US: Montserrat - zh_Hans: 蒙特塞拉特 - pt_BR: Montserrat - - value: MA - label: - en_US: Morocco - zh_Hans: 摩洛哥 - pt_BR: Morocco - - value: MZ - label: - en_US: Mozambique - zh_Hans: 莫桑比克 - pt_BR: Mozambique - - value: NA - label: - en_US: Namibia - zh_Hans: 纳米比亚 - pt_BR: Namibia - - value: NL - label: - en_US: Netherlands - zh_Hans: 荷兰 - pt_BR: Netherlands - - value: NC - label: - en_US: New Caledonia - zh_Hans: 新喀里多尼亚 - pt_BR: New Caledonia - - value: NI - label: - en_US: Nicaragua - zh_Hans: 尼加拉瓜 - pt_BR: Nicaragua - - value: NE - label: - en_US: Niger - zh_Hans: 尼日尔 - pt_BR: Niger - - value: NG - label: - en_US: Nigeria - zh_Hans: 尼日利亚 - pt_BR: Nigeria - - value: OM - label: - en_US: Oman - zh_Hans: 阿曼 - pt_BR: Oman - - value: PK - label: - en_US: Pakistan - zh_Hans: 巴基斯坦 - pt_BR: Pakistan - - value: PS - label: - en_US: Palestinian Territory, Occupied - zh_Hans: 巴勒斯坦领土 - pt_BR: Palestinian Territory, Occupied - - value: PA - label: - en_US: Panama - zh_Hans: 巴拿马 - pt_BR: Panama - - value: PY - label: - en_US: Paraguay - zh_Hans: 巴拉圭 - pt_BR: Paraguay - - value: PE - label: - en_US: Peru - zh_Hans: 秘鲁 - pt_BR: Peru - - value: PH - label: - en_US: Philippines - zh_Hans: 菲律宾 - pt_BR: Philippines - - value: PT - label: - en_US: Portugal - zh_Hans: 葡萄牙 - pt_BR: Portugal - - value: PR - label: - en_US: Puerto Rico - zh_Hans: 波多黎各 - pt_BR: Puerto Rico - - value: QA - label: - en_US: Qatar - zh_Hans: 卡塔尔 - pt_BR: Qatar - - value: RE - label: - en_US: Reunion - zh_Hans: 留尼旺 - pt_BR: Reunion - - value: RU - label: - en_US: Russian Federation - zh_Hans: 俄罗斯联邦 - pt_BR: Russian Federation - - value: RW - label: - en_US: Rwanda - zh_Hans: 卢旺达 - pt_BR: Rwanda - - value: SH - label: - en_US: Saint Helena - zh_Hans: 圣赫勒拿 - pt_BR: Saint Helena - - value: PM - label: - en_US: Saint Pierre and Miquelon - zh_Hans: 圣皮埃尔和密克隆 - pt_BR: Saint Pierre and Miquelon - - value: VC - label: - en_US: Saint Vincent and the Grenadines - zh_Hans: 圣文森特和格林纳丁斯 - pt_BR: Saint Vincent and the Grenadines - - value: ST - label: - en_US: Sao Tome and Principe - zh_Hans: 圣多美和普林西比 - pt_BR: Sao Tome and Principe - - value: SA - label: - en_US: Saudi Arabia - zh_Hans: 沙特阿拉伯 - pt_BR: Saudi Arabia - - value: SN - label: - en_US: Senegal - zh_Hans: 塞内加尔 - pt_BR: Senegal - - value: SC - label: - en_US: Seychelles - zh_Hans: 塞舌尔 - pt_BR: Seychelles - - value: SL - label: - en_US: Sierra Leone - zh_Hans: 塞拉利昂 - pt_BR: Sierra Leone - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: SO - label: - en_US: Somalia - zh_Hans: 索马里 - pt_BR: Somalia - - value: ZA - label: - en_US: South Africa - zh_Hans: 南非 - pt_BR: South Africa - - value: GS - label: - en_US: South Georgia and the South Sandwich Islands - zh_Hans: 南乔治亚和南桑威奇群岛 - pt_BR: South Georgia and the South Sandwich Islands - - value: ES - label: - en_US: Spain - zh_Hans: 西班牙 - pt_BR: Spain - - value: LK - label: - en_US: Sri Lanka - zh_Hans: 斯里兰卡 - pt_BR: Sri Lanka - - value: SR - label: - en_US: Suriname - zh_Hans: 苏里南 - pt_BR: Suriname - - value: CH - label: - en_US: Switzerland - zh_Hans: 瑞士 - pt_BR: Switzerland - - value: TW - label: - en_US: Taiwan, Province of China - zh_Hans: 中国台湾省 - pt_BR: Taiwan, Province of China - - value: TZ - label: - en_US: Tanzania, United Republic of - zh_Hans: 坦桑尼亚联合共和国 - pt_BR: Tanzania, United Republic of - - value: TH - label: - en_US: Thailand - zh_Hans: 泰国 - pt_BR: Thailand - - value: TG - label: - en_US: Togo - zh_Hans: 多哥 - pt_BR: Togo - - value: TT - label: - en_US: Trinidad and Tobago - zh_Hans: 特立尼达和多巴哥 - pt_BR: Trinidad and Tobago - - value: TN - label: - en_US: Tunisia - zh_Hans: 突尼斯 - pt_BR: Tunisia - - value: TC - label: - en_US: Turks and Caicos Islands - zh_Hans: 特克斯和凯科斯群岛 - pt_BR: Turks and Caicos Islands - - value: UG - label: - en_US: Uganda - zh_Hans: 乌干达 - pt_BR: Uganda - - value: AE - label: - en_US: United Arab Emirates - zh_Hans: 阿联酋 - pt_BR: United Arab Emirates - - value: UK - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - value: UY - label: - en_US: Uruguay - zh_Hans: 乌拉圭 - pt_BR: Uruguay - - value: UZ - label: - en_US: Uzbekistan - zh_Hans: 乌兹别克斯坦 - pt_BR: Uzbekistan - - value: VE - label: - en_US: Venezuela - zh_Hans: 委内瑞拉 - pt_BR: Venezuela - - value: VN - label: - en_US: Viet Nam - zh_Hans: 越南 - pt_BR: Viet Nam - - value: VG - label: - en_US: Virgin Islands, British - zh_Hans: 英属维尔京群岛 - pt_BR: Virgin Islands, British - - value: VI - label: - en_US: Virgin Islands, U.S. - zh_Hans: 美属维尔京群岛 - pt_BR: Virgin Islands, U.S. - - value: ZM - label: - en_US: Zambia - zh_Hans: 赞比亚 - pt_BR: Zambia - - value: ZW - label: - en_US: Zimbabwe - zh_Hans: 津巴布韦 - pt_BR: Zimbabwe - - name: hl - type: select - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: Defines the interface language of the search. Default is "en". - zh_Hans: 定义搜索的界面语言。默认为“en”。 - required: false - default: en - form: form - options: - - value: af - label: - en_US: Afrikaans - zh_Hans: 南非语 - - value: ak - label: - en_US: Akan - zh_Hans: 阿坎语 - - value: sq - label: - en_US: Albanian - zh_Hans: 阿尔巴尼亚语 - - value: ws - label: - en_US: Samoa - zh_Hans: 萨摩亚语 - - value: am - label: - en_US: Amharic - zh_Hans: 阿姆哈拉语 - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: hy - label: - en_US: Armenian - zh_Hans: 亚美尼亚语 - - value: az - label: - en_US: Azerbaijani - zh_Hans: 阿塞拜疆语 - - value: eu - label: - en_US: Basque - zh_Hans: 巴斯克语 - - value: be - label: - en_US: Belarusian - zh_Hans: 白俄罗斯语 - - value: bem - label: - en_US: Bemba - zh_Hans: 班巴语 - - value: bn - label: - en_US: Bengali - zh_Hans: 孟加拉语 - - value: bh - label: - en_US: Bihari - zh_Hans: 比哈尔语 - - value: xx-bork - label: - en_US: Bork, bork, bork! - zh_Hans: 博克语 - - value: bs - label: - en_US: Bosnian - zh_Hans: 波斯尼亚语 - - value: br - label: - en_US: Breton - zh_Hans: 布列塔尼语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: bt - label: - en_US: Bhutanese - zh_Hans: 不丹语 - - value: km - label: - en_US: Cambodian - zh_Hans: 高棉语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: chr - label: - en_US: Cherokee - zh_Hans: 切罗基语 - - value: ny - label: - en_US: Chichewa - zh_Hans: 齐切瓦语 - - value: zh-cn - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - - value: zh-tw - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - - value: co - label: - en_US: Corsican - zh_Hans: 科西嘉语 - - value: hr - label: - en_US: Croatian - zh_Hans: 克罗地亚语 - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: xx-elmer - label: - en_US: Elmer Fudd - zh_Hans: 艾尔默福德语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: eo - label: - en_US: Esperanto - zh_Hans: 世界语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: ee - label: - en_US: Ewe - zh_Hans: 埃维语 - - value: fo - label: - en_US: Faroese - zh_Hans: 法罗语 - - value: tl - label: - en_US: Filipino - zh_Hans: 菲律宾语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: fy - label: - en_US: Frisian - zh_Hans: 弗里西亚语 - - value: gaa - label: - en_US: Ga - zh_Hans: 加语 - - value: gl - label: - en_US: Galician - zh_Hans: 加利西亚语 - - value: ka - label: - en_US: Georgian - zh_Hans: 格鲁吉亚语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: kl - label: - en_US: Greenlandic - zh_Hans: 格陵兰语 - - value: gn - label: - en_US: Guarani - zh_Hans: 瓜拉尼语 - - value: gu - label: - en_US: Gujarati - zh_Hans: 古吉拉特语 - - value: xx-hacker - label: - en_US: Hacker - zh_Hans: 黑客语 - - value: ht - label: - en_US: Haitian Creole - zh_Hans: 海地克里奥尔语 - - value: ha - label: - en_US: Hausa - zh_Hans: 豪萨语 - - value: haw - label: - en_US: Hawaiian - zh_Hans: 夏威夷语 - - value: iw - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: is - label: - en_US: Icelandic - zh_Hans: 冰岛语 - - value: ig - label: - en_US: Igbo - zh_Hans: 伊博语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - - value: ia - label: - en_US: Interlingua - zh_Hans: 国际语 - - value: ga - label: - en_US: Irish - zh_Hans: 爱尔兰语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: jw - label: - en_US: Javanese - zh_Hans: 爪哇语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: kk - label: - en_US: Kazakh - zh_Hans: 哈萨克语 - - value: rw - label: - en_US: Kinyarwanda - zh_Hans: 基尼亚卢旺达语 - - value: rn - label: - en_US: Kirundi - zh_Hans: 基隆迪语 - - value: xx-klingon - label: - en_US: Klingon - zh_Hans: 克林贡语 - - value: kg - label: - en_US: Kongo - zh_Hans: 刚果语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: kri - label: - en_US: Krio (Sierra Leone) - zh_Hans: 塞拉利昂克里奥尔语 - - value: ku - label: - en_US: Kurdish - zh_Hans: 库尔德语 - - value: ckb - label: - en_US: Kurdish (Soranî) - zh_Hans: 库尔德语（索拉尼） - - value: ky - label: - en_US: Kyrgyz - zh_Hans: 吉尔吉斯语 - - value: lo - label: - en_US: Laothian - zh_Hans: 老挝语 - - value: la - label: - en_US: Latin - zh_Hans: 拉丁语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: ln - label: - en_US: Lingala - zh_Hans: 林加拉语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: loz - label: - en_US: Lozi - zh_Hans: 洛齐语 - - value: lg - label: - en_US: Luganda - zh_Hans: 卢干达语 - - value: ach - label: - en_US: Luo - zh_Hans: 卢奥语 - - value: mk - label: - en_US: Macedonian - zh_Hans: 马其顿语 - - value: mg - label: - en_US: Malagasy - zh_Hans: 马尔加什语 - - value: my - label: - en_US: Malay - zh_Hans: 马来语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mt - label: - en_US: Maltese - zh_Hans: 马耳他语 - - value: mv - label: - en_US: Maldives - zh_Hans: 马尔代夫语 - - value: mi - label: - en_US: Maori - zh_Hans: 毛利语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: mfe - label: - en_US: Mauritian Creole - zh_Hans: 毛里求斯克里奥尔语 - - value: mo - label: - en_US: Moldavian - zh_Hans: 摩尔达维亚语 - - value: mn - label: - en_US: Mongolian - zh_Hans: 蒙古语 - - value: sr-me - label: - en_US: Montenegrin - zh_Hans: 黑山语 - - value: ne - label: - en_US: Nepali - zh_Hans: 尼泊尔语 - - value: pcm - label: - en_US: Nigerian Pidgin - zh_Hans: 尼日利亚皮钦语 - - value: nso - label: - en_US: Northern Sotho - zh_Hans: 北索托语 - - value: "no" - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: nn - label: - en_US: Norwegian (Nynorsk) - zh_Hans: 挪威语（尼诺斯克语） - - value: oc - label: - en_US: Occitan - zh_Hans: 奥克语 - - value: or - label: - en_US: Oriya - zh_Hans: 奥里亚语 - - value: om - label: - en_US: Oromo - zh_Hans: 奥罗莫语 - - value: ps - label: - en_US: Pashto - zh_Hans: 普什图语 - - value: fa - label: - en_US: Persian - zh_Hans: 波斯语 - - value: xx-pirate - label: - en_US: Pirate - zh_Hans: 海盗语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt - label: - en_US: Portuguese - zh_Hans: 葡萄牙语 - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: qu - label: - en_US: Quechua - zh_Hans: 克丘亚语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: rm - label: - en_US: Romansh - zh_Hans: 罗曼什语 - - value: nyn - label: - en_US: Runyakitara - zh_Hans: 卢尼亚基塔拉语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: gd - label: - en_US: Scots Gaelic - zh_Hans: 苏格兰盖尔语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: sh - label: - en_US: Serbo-Croatian - zh_Hans: 塞尔维亚-克罗地亚语 - - value: st - label: - en_US: Sesotho - zh_Hans: 塞索托语 - - value: tn - label: - en_US: Setswana - zh_Hans: 塞茨瓦纳语 - - value: crs - label: - en_US: Seychellois Creole - zh_Hans: 塞舌尔克里奥尔语 - - value: sn - label: - en_US: Shona - zh_Hans: 绍纳语 - - value: sd - label: - en_US: Sindhi - zh_Hans: 信德语 - - value: si - label: - en_US: Sinhalese - zh_Hans: 僧伽罗语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: so - label: - en_US: Somali - zh_Hans: 索马里语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: es-419 - label: - en_US: Spanish (Latin American) - zh_Hans: 西班牙语（拉丁美洲） - - value: su - label: - en_US: Sundanese - zh_Hans: 巽他语 - - value: sw - label: - en_US: Swahili - zh_Hans: 斯瓦希里语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: tg - label: - en_US: Tajik - zh_Hans: 塔吉克语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: tt - label: - en_US: Tatar - zh_Hans: 鞑靼语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: ti - label: - en_US: Tigrinya - zh_Hans: 提格利尼亚语 - - value: to - label: - en_US: Tonga - zh_Hans: 汤加语 - - value: lua - label: - en_US: Tshiluba - zh_Hans: 卢巴语 - - value: tum - label: - en_US: Tumbuka - zh_Hans: 图布卡语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: tk - label: - en_US: Turkmen - zh_Hans: 土库曼语 - - value: tw - label: - en_US: Twi - zh_Hans: 契维语 - - value: ug - label: - en_US: Uighur - zh_Hans: 维吾尔语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: ur - label: - en_US: Urdu - zh_Hans: 乌尔都语 - - value: uz - label: - en_US: Uzbek - zh_Hans: 乌兹别克语 - - value: vu - label: - en_US: Vanuatu - zh_Hans: 瓦努阿图语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 - - value: cy - label: - en_US: Welsh - zh_Hans: 威尔士语 - - value: wo - label: - en_US: Wolof - zh_Hans: 沃洛夫语 - - value: xh - label: - en_US: Xhosa - zh_Hans: 科萨语 - - value: yi - label: - en_US: Yiddish - zh_Hans: 意第绪语 - - value: yo - label: - en_US: Yoruba - zh_Hans: 约鲁巴语 - - value: zu - label: - en_US: Zulu - zh_Hans: 祖鲁语 - - name: is_remote - type: select - label: - en_US: is_remote - zh_Hans: 很遥远 - human_description: - en_US: Filter results based on the work arrangement. Set it to true to find jobs that offer work from home or remote work opportunities. - zh_Hans: 根据工作安排过滤结果。将其设置为 true 可查找提供在家工作或远程工作机会的工作。 - required: false - form: form - options: - - value: 'true' - label: - en_US: "true" - zh_Hans: "true" - - value: 'false' - label: - en_US: "false" - zh_Hans: "false" diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_news.py b/api/core/tools/provider/builtin/searchapi/tools/google_news.py deleted file mode 100644 index c8b3ccda05e195..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/google_news.py +++ /dev/null @@ -1,97 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SEARCH_API_URL = "https://www.searchapi.io/api/v1/search" - - -class SearchAPI: - """ - SearchAPI tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SearchAPI tool provider.""" - self.searchapi_api_key = api_key - - def run(self, query: str, **kwargs: Any) -> str: - """Run query through SearchAPI and parse result.""" - type = kwargs.get("result_type", "text") - return self._process_response(self.results(query, **kwargs), type=type) - - def results(self, query: str, **kwargs: Any) -> dict: - """Run query through SearchAPI and return the raw result.""" - params = self.get_params(query, **kwargs) - response = requests.get( - url=SEARCH_API_URL, - params=params, - headers={"Authorization": f"Bearer {self.searchapi_api_key}"}, - ) - response.raise_for_status() - return response.json() - - def get_params(self, query: str, **kwargs: Any) -> dict[str, str]: - """Get parameters for SearchAPI.""" - return { - "engine": "google_news", - "q": query, - **{key: value for key, value in kwargs.items() if value not in {None, ""}}, - } - - @staticmethod - def _process_response(res: dict, type: str) -> str: - """Process response from SearchAPI.""" - if "error" in res: - return res["error"] - - toret = "" - if type == "text": - if "organic_results" in res and "snippet" in res["organic_results"][0]: - for item in res["organic_results"]: - toret += "content: " + item["snippet"] + "\n" + "link: " + item["link"] + "\n" - if "top_stories" in res and "title" in res["top_stories"][0]: - for item in res["top_stories"]: - toret += "title: " + item["title"] + "\n" + "link: " + item["link"] + "\n" - if toret == "": - toret = "No good search result found" - - elif type == "link": - if "organic_results" in res and "title" in res["organic_results"][0]: - for item in res["organic_results"]: - toret += f"[{item['title']}]({item['link']})\n" - elif "top_stories" in res and "title" in res["top_stories"][0]: - for item in res["top_stories"]: - toret += f"[{item['title']}]({item['link']})\n" - else: - toret = "No good search result found" - return toret - - -class GoogleNewsTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SearchApi tool. - """ - query = tool_parameters["query"] - result_type = tool_parameters["result_type"] - num = tool_parameters.get("num", 10) - google_domain = tool_parameters.get("google_domain", "google.com") - gl = tool_parameters.get("gl", "us") - hl = tool_parameters.get("hl", "en") - location = tool_parameters.get("location") - - api_key = self.runtime.credentials["searchapi_api_key"] - result = SearchAPI(api_key).run( - query, result_type=result_type, num=num, google_domain=google_domain, gl=gl, hl=hl, location=location - ) - - if result_type == "text": - return self.create_text_message(text=result) - return self.create_link_message(link=result) diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml deleted file mode 100644 index ff34af34cc9f5c..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml +++ /dev/null @@ -1,1922 +0,0 @@ -identity: - name: google_news_api - author: SearchApi - label: - en_US: Google News API - zh_Hans: Google News API -description: - human: - en_US: A tool to retrieve organic search results snippets and links from Google News engine. - zh_Hans: 一种从 Google 新闻引擎检索有机搜索结果片段和链接的工具。 - llm: A tool to retrieve organic search results snippets and links from Google News engine. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 询问 - human_description: - en_US: Defines the query you want to search. - zh_Hans: 定义您要搜索的查询。 - llm_description: Defines the search query you want to search. - form: llm - - name: result_type - type: select - required: true - options: - - value: text - label: - en_US: text - zh_Hans: 文本 - - value: link - label: - en_US: link - zh_Hans: 链接 - default: text - label: - en_US: Result type - zh_Hans: 结果类型 - human_description: - en_US: used for selecting the result type, text or link. - zh_Hans: 用于选择结果类型，使用文本还是链接进行展示。 - form: form - - name: location - type: string - required: false - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: llm - - name: gl - type: select - label: - en_US: Country - zh_Hans: 国家 - required: false - human_description: - en_US: Defines the country of the search. Default is "US". - zh_Hans: 定义搜索的国家/地区。默认为“美国”。 - llm_description: Defines the gl parameter of the Google search. - form: form - default: US - options: - - value: AF - label: - en_US: Afghanistan - zh_Hans: 阿富汗 - pt_BR: Afeganistão - - value: AL - label: - en_US: Albania - zh_Hans: 阿尔巴尼亚 - pt_BR: Albânia - - value: DZ - label: - en_US: Algeria - zh_Hans: 阿尔及利亚 - pt_BR: Argélia - - value: AS - label: - en_US: American Samoa - zh_Hans: 美属萨摩亚 - pt_BR: Samoa Americana - - value: AD - label: - en_US: Andorra - zh_Hans: 安道尔 - pt_BR: Andorra - - value: AO - label: - en_US: Angola - zh_Hans: 安哥拉 - pt_BR: Angola - - value: AI - label: - en_US: Anguilla - zh_Hans: 安圭拉 - pt_BR: Anguilla - - value: AQ - label: - en_US: Antarctica - zh_Hans: 南极洲 - pt_BR: Antártica - - value: AG - label: - en_US: Antigua and Barbuda - zh_Hans: 安提瓜和巴布达 - pt_BR: Antígua e Barbuda - - value: AR - label: - en_US: Argentina - zh_Hans: 阿根廷 - pt_BR: Argentina - - value: AM - label: - en_US: Armenia - zh_Hans: 亚美尼亚 - pt_BR: Armênia - - value: AW - label: - en_US: Aruba - zh_Hans: 阿鲁巴 - pt_BR: Aruba - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Austrália - - value: AT - label: - en_US: Austria - zh_Hans: 奥地利 - pt_BR: Áustria - - value: AZ - label: - en_US: Azerbaijan - zh_Hans: 阿塞拜疆 - pt_BR: Azerbaijão - - value: BS - label: - en_US: Bahamas - zh_Hans: 巴哈马 - pt_BR: Bahamas - - value: BH - label: - en_US: Bahrain - zh_Hans: 巴林 - pt_BR: Bahrein - - value: BD - label: - en_US: Bangladesh - zh_Hans: 孟加拉国 - pt_BR: Bangladesh - - value: BB - label: - en_US: Barbados - zh_Hans: 巴巴多斯 - pt_BR: Barbados - - value: BY - label: - en_US: Belarus - zh_Hans: 白俄罗斯 - pt_BR: Bielorrússia - - value: BE - label: - en_US: Belgium - zh_Hans: 比利时 - pt_BR: Bélgica - - value: BZ - label: - en_US: Belize - zh_Hans: 伯利兹 - pt_BR: Belize - - value: BJ - label: - en_US: Benin - zh_Hans: 贝宁 - pt_BR: Benim - - value: BM - label: - en_US: Bermuda - zh_Hans: 百慕大 - pt_BR: Bermudas - - value: BT - label: - en_US: Bhutan - zh_Hans: 不丹 - pt_BR: Butão - - value: BO - label: - en_US: Bolivia - zh_Hans: 玻利维亚 - pt_BR: Bolívia - - value: BA - label: - en_US: Bosnia and Herzegovina - zh_Hans: 波斯尼亚和黑塞哥维那 - pt_BR: Bósnia e Herzegovina - - value: BW - label: - en_US: Botswana - zh_Hans: 博茨瓦纳 - pt_BR: Botsuana - - value: BV - label: - en_US: Bouvet Island - zh_Hans: 布韦岛 - pt_BR: Ilha Bouvet - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brasil - - value: IO - label: - en_US: British Indian Ocean Territory - zh_Hans: 英属印度洋领地 - pt_BR: Território Britânico do Oceano Índico - - value: BN - label: - en_US: Brunei Darussalam - zh_Hans: 文莱 - pt_BR: Brunei Darussalam - - value: BG - label: - en_US: Bulgaria - zh_Hans: 保加利亚 - pt_BR: Bulgária - - value: BF - label: - en_US: Burkina Faso - zh_Hans: 布基纳法索 - pt_BR: Burkina Faso - - value: BI - label: - en_US: Burundi - zh_Hans: 布隆迪 - pt_BR: Burundi - - value: KH - label: - en_US: Cambodia - zh_Hans: 柬埔寨 - pt_BR: Camboja - - value: CM - label: - en_US: Cameroon - zh_Hans: 喀麦隆 - pt_BR: Camarões - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canadá - - value: CV - label: - en_US: Cape Verde - zh_Hans: 佛得角 - pt_BR: Cabo Verde - - value: KY - label: - en_US: Cayman Islands - zh_Hans: 开曼群岛 - pt_BR: Ilhas Cayman - - value: CF - label: - en_US: Central African Republic - zh_Hans: 中非共和国 - pt_BR: República Centro-Africana - - value: TD - label: - en_US: Chad - zh_Hans: 乍得 - pt_BR: Chade - - value: CL - label: - en_US: Chile - zh_Hans: 智利 - pt_BR: Chile - - value: CN - label: - en_US: China - zh_Hans: 中国 - pt_BR: China - - value: CX - label: - en_US: Christmas Island - zh_Hans: 圣诞岛 - pt_BR: Ilha do Natal - - value: CC - label: - en_US: Cocos (Keeling) Islands - zh_Hans: 科科斯（基林）群岛 - pt_BR: Ilhas Cocos (Keeling) - - value: CO - label: - en_US: Colombia - zh_Hans: 哥伦比亚 - pt_BR: Colômbia - - value: KM - label: - en_US: Comoros - zh_Hans: 科摩罗 - pt_BR: Comores - - value: CG - label: - en_US: Congo - zh_Hans: 刚果 - pt_BR: Congo - - value: CD - label: - en_US: Congo, the Democratic Republic of the - zh_Hans: 刚果民主共和国 - pt_BR: Congo, República Democrática do - - value: CK - label: - en_US: Cook Islands - zh_Hans: 库克群岛 - pt_BR: Ilhas Cook - - value: CR - label: - en_US: Costa Rica - zh_Hans: 哥斯达黎加 - pt_BR: Costa Rica - - value: CI - label: - en_US: Cote D'ivoire - zh_Hans: 科特迪瓦 - pt_BR: Costa do Marfim - - value: HR - label: - en_US: Croatia - zh_Hans: 克罗地亚 - pt_BR: Croácia - - value: CU - label: - en_US: Cuba - zh_Hans: 古巴 - pt_BR: Cuba - - value: CY - label: - en_US: Cyprus - zh_Hans: 塞浦路斯 - pt_BR: Chipre - - value: CZ - label: - en_US: Czech Republic - zh_Hans: 捷克共和国 - pt_BR: República Tcheca - - value: DK - label: - en_US: Denmark - zh_Hans: 丹麦 - pt_BR: Dinamarca - - value: DJ - label: - en_US: Djibouti - zh_Hans: 吉布提 - pt_BR: Djibuti - - value: DM - label: - en_US: Dominica - zh_Hans: 多米尼克 - pt_BR: Dominica - - value: DO - label: - en_US: Dominican Republic - zh_Hans: 多米尼加共和国 - pt_BR: República Dominicana - - value: EC - label: - en_US: Ecuador - zh_Hans: 厄瓜多尔 - pt_BR: Equador - - value: EG - label: - en_US: Egypt - zh_Hans: 埃及 - pt_BR: Egito - - value: SV - label: - en_US: El Salvador - zh_Hans: 萨尔瓦多 - pt_BR: El Salvador - - value: GQ - label: - en_US: Equatorial Guinea - zh_Hans: 赤道几内亚 - pt_BR: Guiné Equatorial - - value: ER - label: - en_US: Eritrea - zh_Hans: 厄立特里亚 - pt_BR: Eritreia - - value: EE - label: - en_US: Estonia - zh_Hans: 爱沙尼亚 - pt_BR: Estônia - - value: ET - label: - en_US: Ethiopia - zh_Hans: 埃塞俄比亚 - pt_BR: Etiópia - - value: FK - label: - en_US: Falkland Islands (Malvinas) - zh_Hans: 福克兰群岛（马尔维纳斯） - pt_BR: Ilhas Falkland (Malvinas) - - value: FO - label: - en_US: Faroe Islands - zh_Hans: 法罗群岛 - pt_BR: Ilhas Faroe - - value: FJ - label: - en_US: Fiji - zh_Hans: 斐济 - pt_BR: Fiji - - value: FI - label: - en_US: Finland - zh_Hans: 芬兰 - pt_BR: Finlândia - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: França - - value: GF - label: - en_US: French Guiana - zh_Hans: 法属圭亚那 - pt_BR: Guiana Francesa - - value: PF - label: - en_US: French Polynesia - zh_Hans: 法属波利尼西亚 - pt_BR: Polinésia Francesa - - value: TF - label: - en_US: French Southern Territories - zh_Hans: 法属南部领地 - pt_BR: Territórios Franceses do Sul - - value: GA - label: - en_US: Gabon - zh_Hans: 加蓬 - pt_BR: Gabão - - value: GM - label: - en_US: Gambia - zh_Hans: 冈比亚 - pt_BR: Gâmbia - - value: GE - label: - en_US: Georgia - zh_Hans: 格鲁吉亚 - pt_BR: Geórgia - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Alemanha - - value: GH - label: - en_US: Ghana - zh_Hans: 加纳 - pt_BR: Gana - - value: GI - label: - en_US: Gibraltar - zh_Hans: 直布罗陀 - pt_BR: Gibraltar - - value: GR - label: - en_US: Greece - zh_Hans: 希腊 - pt_BR: Grécia - - value: GL - label: - en_US: Greenland - zh_Hans: 格陵兰 - pt_BR: Groenlândia - - value: GD - label: - en_US: Grenada - zh_Hans: 格林纳达 - pt_BR: Granada - - value: GP - label: - en_US: Guadeloupe - zh_Hans: 瓜德罗普 - pt_BR: Guadalupe - - value: GU - label: - en_US: Guam - zh_Hans: 关岛 - pt_BR: Guam - - value: GT - label: - en_US: Guatemala - zh_Hans: 危地马拉 - pt_BR: Guatemala - - value: GN - label: - en_US: Guinea - zh_Hans: 几内亚 - pt_BR: Guiné - - value: GW - label: - en_US: Guinea-Bissau - zh_Hans: 几内亚比绍 - pt_BR: Guiné-Bissau - - value: GY - label: - en_US: Guyana - zh_Hans: 圭亚那 - pt_BR: Guiana - - value: HT - label: - en_US: Haiti - zh_Hans: 海地 - pt_BR: Haiti - - value: HM - label: - en_US: Heard Island and McDonald Islands - zh_Hans: 赫德岛和麦克唐纳群岛 - pt_BR: Ilha Heard e Ilhas McDonald - - value: VA - label: - en_US: Holy See (Vatican City State) - zh_Hans: 教廷（梵蒂冈城国） - pt_BR: Santa Sé (Estado da Cidade do Vaticano) - - value: HN - label: - en_US: Honduras - zh_Hans: 洪都拉斯 - pt_BR: Honduras - - value: HK - label: - en_US: Hong Kong - zh_Hans: 香港 - pt_BR: Hong Kong - - value: HU - label: - en_US: Hungary - zh_Hans: 匈牙利 - pt_BR: Hungria - - value: IS - label: - en_US: Iceland - zh_Hans: 冰岛 - pt_BR: Islândia - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: Índia - - value: ID - label: - en_US: Indonesia - zh_Hans: 印度尼西亚 - pt_BR: Indonésia - - value: IR - label: - en_US: Iran, Islamic Republic of - zh_Hans: 伊朗 - pt_BR: Irã - - value: IQ - label: - en_US: Iraq - zh_Hans: 伊拉克 - pt_BR: Iraque - - value: IE - label: - en_US: Ireland - zh_Hans: 爱尔兰 - pt_BR: Irlanda - - value: IL - label: - en_US: Israel - zh_Hans: 以色列 - pt_BR: Israel - - value: IT - label: - en_US: Italy - zh_Hans: 意大利 - pt_BR: Itália - - value: JM - label: - en_US: Jamaica - zh_Hans: 牙买加 - pt_BR: Jamaica - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japão - - value: JO - label: - en_US: Jordan - zh_Hans: 约旦 - pt_BR: Jordânia - - value: KZ - label: - en_US: Kazakhstan - zh_Hans: 哈萨克斯坦 - pt_BR: Cazaquistão - - value: KE - label: - en_US: Kenya - zh_Hans: 肯尼亚 - pt_BR: Quênia - - value: KI - label: - en_US: Kiribati - zh_Hans: 基里巴斯 - pt_BR: Kiribati - - value: KP - label: - en_US: Korea, Democratic People's Republic of - zh_Hans: 朝鲜 - pt_BR: Coreia, República Democrática Popular da - - value: KR - label: - en_US: Korea, Republic of - zh_Hans: 韩国 - pt_BR: Coreia, República da - - value: KW - label: - en_US: Kuwait - zh_Hans: 科威特 - pt_BR: Kuwait - - value: KG - label: - en_US: Kyrgyzstan - zh_Hans: 吉尔吉斯斯坦 - pt_BR: Quirguistão - - value: LA - label: - en_US: Lao People's Democratic Republic - zh_Hans: 老挝 - pt_BR: República Democrática Popular do Laos - - value: LV - label: - en_US: Latvia - zh_Hans: 拉脱维亚 - pt_BR: Letônia - - value: LB - label: - en_US: Lebanon - zh_Hans: 黎巴嫩 - pt_BR: Líbano - - value: LS - label: - en_US: Lesotho - zh_Hans: 莱索托 - pt_BR: Lesoto - - value: LR - label: - en_US: Liberia - zh_Hans: 利比里亚 - pt_BR: Libéria - - value: LY - label: - en_US: Libyan Arab Jamahiriya - zh_Hans: 利比亚 - pt_BR: Líbia - - value: LI - label: - en_US: Liechtenstein - zh_Hans: 列支敦士登 - pt_BR: Liechtenstein - - value: LT - label: - en_US: Lithuania - zh_Hans: 立陶宛 - pt_BR: Lituânia - - value: LU - label: - en_US: Luxembourg - zh_Hans: 卢森堡 - pt_BR: Luxemburgo - - value: MO - label: - en_US: Macao - zh_Hans: 澳门 - pt_BR: Macau - - value: MK - label: - en_US: Macedonia, the Former Yugosalv Republic of - zh_Hans: 前南斯拉夫马其顿共和国 - pt_BR: Macedônia, Ex-República Iugoslava da - - value: MG - label: - en_US: Madagascar - zh_Hans: 马达加斯加 - pt_BR: Madagascar - - value: MW - label: - en_US: Malawi - zh_Hans: 马拉维 - pt_BR: Malaui - - value: MY - label: - en_US: Malaysia - zh_Hans: 马来西亚 - pt_BR: Malásia - - value: MV - label: - en_US: Maldives - zh_Hans: 马尔代夫 - pt_BR: Maldivas - - value: ML - label: - en_US: Mali - zh_Hans: 马里 - pt_BR: Mali - - value: MT - label: - en_US: Malta - zh_Hans: 马耳他 - pt_BR: Malta - - value: MH - label: - en_US: Marshall Islands - zh_Hans: 马绍尔群岛 - pt_BR: Ilhas Marshall - - value: MQ - label: - en_US: Martinique - zh_Hans: 马提尼克 - pt_BR: Martinica - - value: MR - label: - en_US: Mauritania - zh_Hans: 毛里塔尼亚 - pt_BR: Mauritânia - - value: MU - label: - en_US: Mauritius - zh_Hans: 毛里求斯 - pt_BR: Maurício - - value: YT - label: - en_US: Mayotte - zh_Hans: 马约特 - pt_BR: Mayotte - - value: MX - label: - en_US: Mexico - zh_Hans: 墨西哥 - pt_BR: México - - value: FM - label: - en_US: Micronesia, Federated States of - zh_Hans: 密克罗尼西亚联邦 - pt_BR: Micronésia, Estados Federados da - - value: MD - label: - en_US: Moldova, Republic of - zh_Hans: 摩尔多瓦共和国 - pt_BR: Moldávia, República da - - value: MC - label: - en_US: Monaco - zh_Hans: 摩纳哥 - pt_BR: Mônaco - - value: MN - label: - en_US: Mongolia - zh_Hans: 蒙古 - pt_BR: Mongólia - - value: MS - label: - en_US: Montserrat - zh_Hans: 蒙特塞拉特 - pt_BR: Montserrat - - value: MA - label: - en_US: Morocco - zh_Hans: 摩洛哥 - pt_BR: Marrocos - - value: MZ - label: - en_US: Mozambique - zh_Hans: 莫桑比克 - pt_BR: Moçambique - - value: MM - label: - en_US: Myanmar - zh_Hans: 缅甸 - pt_BR: Mianmar - - value: NA - label: - en_US: Namibia - zh_Hans: 纳米比亚 - pt_BR: Namíbia - - value: NR - label: - en_US: Nauru - zh_Hans: 瑙鲁 - pt_BR: Nauru - - value: NP - label: - en_US: Nepal - zh_Hans: 尼泊尔 - pt_BR: Nepal - - value: NL - label: - en_US: Netherlands - zh_Hans: 荷兰 - pt_BR: Países Baixos - - value: AN - label: - en_US: Netherlands Antilles - zh_Hans: 荷属安的列斯 - pt_BR: Antilhas Holandesas - - value: NC - label: - en_US: New Caledonia - zh_Hans: 新喀里多尼亚 - pt_BR: Nova Caledônia - - value: NZ - label: - en_US: New Zealand - zh_Hans: 新西兰 - pt_BR: Nova Zelândia - - value: NI - label: - en_US: Nicaragua - zh_Hans: 尼加拉瓜 - pt_BR: Nicarágua - - value: NE - label: - en_US: Niger - zh_Hans: 尼日尔 - pt_BR: Níger - - value: NG - label: - en_US: Nigeria - zh_Hans: 尼日利亚 - pt_BR: Nigéria - - value: NU - label: - en_US: Niue - zh_Hans: 纽埃 - pt_BR: Niue - - value: NF - label: - en_US: Norfolk Island - zh_Hans: 诺福克岛 - pt_BR: Ilha Norfolk - - value: MP - label: - en_US: Northern Mariana Islands - zh_Hans: 北马里亚纳群岛 - pt_BR: Ilhas Marianas do Norte - - value: "NO" - label: - en_US: Norway - zh_Hans: 挪威 - pt_BR: Noruega - - value: OM - label: - en_US: Oman - zh_Hans: 阿曼 - pt_BR: Omã - - value: PK - label: - en_US: Pakistan - zh_Hans: 巴基斯坦 - pt_BR: Paquistão - - value: PW - label: - en_US: Palau - zh_Hans: 帕劳 - pt_BR: Palau - - value: PS - label: - en_US: Palestinian Territory, Occupied - zh_Hans: 巴勒斯坦领土 - pt_BR: Palestina, Território Ocupado - - value: PA - label: - en_US: Panama - zh_Hans: 巴拿马 - pt_BR: Panamá - - value: PG - label: - en_US: Papua New Guinea - zh_Hans: 巴布亚新几内亚 - pt_BR: Papua Nova Guiné - - value: PY - label: - en_US: Paraguay - zh_Hans: 巴拉圭 - pt_BR: Paraguai - - value: PE - label: - en_US: Peru - zh_Hans: 秘鲁 - pt_BR: Peru - - value: PH - label: - en_US: Philippines - zh_Hans: 菲律宾 - pt_BR: Filipinas - - value: PN - label: - en_US: Pitcairn - zh_Hans: 皮特凯恩岛 - pt_BR: Pitcairn - - value: PL - label: - en_US: Poland - zh_Hans: 波兰 - pt_BR: Polônia - - value: PT - label: - en_US: Portugal - zh_Hans: 葡萄牙 - pt_BR: Portugal - - value: PR - label: - en_US: Puerto Rico - zh_Hans: 波多黎各 - pt_BR: Porto Rico - - value: QA - label: - en_US: Qatar - zh_Hans: 卡塔尔 - pt_BR: Catar - - value: RE - label: - en_US: Reunion - zh_Hans: 留尼旺 - pt_BR: Reunião - - value: RO - label: - en_US: Romania - zh_Hans: 罗马尼亚 - pt_BR: Romênia - - value: RU - label: - en_US: Russian Federation - zh_Hans: 俄罗斯联邦 - pt_BR: Rússia - - value: RW - label: - en_US: Rwanda - zh_Hans: 卢旺达 - pt_BR: Ruanda - - value: SH - label: - en_US: Saint Helena - zh_Hans: 圣赫勒拿 - pt_BR: Santa Helena - - value: KN - label: - en_US: Saint Kitts and Nevis - zh_Hans: 圣基茨和尼维斯 - pt_BR: São Cristóvão e Nevis - - value: LC - label: - en_US: Saint Lucia - zh_Hans: 圣卢西亚 - pt_BR: Santa Lúcia - - value: PM - label: - en_US: Saint Pierre and Miquelon - zh_Hans: 圣皮埃尔和密克隆 - pt_BR: São Pedro e Miquelon - - value: VC - label: - en_US: Saint Vincent and the Grenadines - zh_Hans: 圣文森特和格林纳丁斯 - pt_BR: São Vicente e Granadinas - - value: WS - label: - en_US: Samoa - zh_Hans: 萨摩亚 - pt_BR: Samoa - - value: SM - label: - en_US: San Marino - zh_Hans: 圣马力诺 - pt_BR: San Marino - - value: ST - label: - en_US: Sao Tome and Principe - zh_Hans: 圣多美和普林西比 - pt_BR: São Tomé e Príncipe - - value: SA - label: - en_US: Saudi Arabia - zh_Hans: 沙特阿拉伯 - pt_BR: Arábia Saudita - - value: SN - label: - en_US: Senegal - zh_Hans: 塞内加尔 - pt_BR: Senegal - - value: RS - label: - en_US: Serbia and Montenegro - zh_Hans: 塞尔维亚和黑山 - pt_BR: Sérvia e Montenegro - - value: SC - label: - en_US: Seychelles - zh_Hans: 塞舌尔 - pt_BR: Seicheles - - value: SL - label: - en_US: Sierra Leone - zh_Hans: 塞拉利昂 - pt_BR: Serra Leoa - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapura - - value: SK - label: - en_US: Slovakia - zh_Hans: 斯洛伐克 - pt_BR: Eslováquia - - value: SI - label: - en_US: Slovenia - zh_Hans: 斯洛文尼亚 - pt_BR: Eslovênia - - value: SB - label: - en_US: Solomon Islands - zh_Hans: 所罗门群岛 - pt_BR: Ilhas Salomão - - value: SO - label: - en_US: Somalia - zh_Hans: 索马里 - pt_BR: Somália - - value: ZA - label: - en_US: South Africa - zh_Hans: 南非 - pt_BR: África do Sul - - value: GS - label: - en_US: South Georgia and the South Sandwich Islands - zh_Hans: 南乔治亚和南桑威奇群岛 - pt_BR: Geórgia do Sul e Ilhas Sandwich do Sul - - value: ES - label: - en_US: Spain - zh_Hans: 西班牙 - pt_BR: Espanha - - value: LK - label: - en_US: Sri Lanka - zh_Hans: 斯里兰卡 - pt_BR: Sri Lanka - - value: SD - label: - en_US: Sudan - zh_Hans: 苏丹 - pt_BR: Sudão - - value: SR - label: - en_US: Suriname - zh_Hans: 苏里南 - pt_BR: Suriname - - value: SJ - label: - en_US: Svalbard and Jan Mayen - zh_Hans: 斯瓦尔巴特和扬马延岛 - pt_BR: Svalbard e Jan Mayen - - value: SZ - label: - en_US: Swaziland - zh_Hans: 斯威士兰 - pt_BR: Essuatíni - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Suécia - - value: CH - label: - en_US: Switzerland - zh_Hans: 瑞士 - pt_BR: Suíça - - value: SY - label: - en_US: Syrian Arab Republic - zh_Hans: 叙利亚 - pt_BR: Síria - - value: TW - label: - en_US: Taiwan, Province of China - zh_Hans: 台湾 - pt_BR: Taiwan - - value: TJ - label: - en_US: Tajikistan - zh_Hans: 塔吉克斯坦 - pt_BR: Tajiquistão - - value: TZ - label: - en_US: Tanzania, United Republic of - zh_Hans: 坦桑尼亚联合共和国 - pt_BR: Tanzânia - - value: TH - label: - en_US: Thailand - zh_Hans: 泰国 - pt_BR: Tailândia - - value: TL - label: - en_US: Timor-Leste - zh_Hans: 东帝汶 - pt_BR: Timor-Leste - - value: TG - label: - en_US: Togo - zh_Hans: 多哥 - pt_BR: Togo - - value: TK - label: - en_US: Tokelau - zh_Hans: 托克劳 - pt_BR: Toquelau - - value: TO - label: - en_US: Tonga - zh_Hans: 汤加 - pt_BR: Tonga - - value: TT - label: - en_US: Trinidad and Tobago - zh_Hans: 特立尼达和多巴哥 - pt_BR: Trindade e Tobago - - value: TN - label: - en_US: Tunisia - zh_Hans: 突尼斯 - pt_BR: Tunísia - - value: TR - label: - en_US: Turkey - zh_Hans: 土耳其 - pt_BR: Turquia - - value: TM - label: - en_US: Turkmenistan - zh_Hans: 土库曼斯坦 - pt_BR: Turcomenistão - - value: TC - label: - en_US: Turks and Caicos Islands - zh_Hans: 特克斯和凯科斯群岛 - pt_BR: Ilhas Turks e Caicos - - value: TV - label: - en_US: Tuvalu - zh_Hans: 图瓦卢 - pt_BR: Tuvalu - - value: UG - label: - en_US: Uganda - zh_Hans: 乌干达 - pt_BR: Uganda - - value: UA - label: - en_US: Ukraine - zh_Hans: 乌克兰 - pt_BR: Ucrânia - - value: AE - label: - en_US: United Arab Emirates - zh_Hans: 阿联酋 - pt_BR: Emirados Árabes Unidos - - value: UK - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: Reino Unido - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: Reino Unido - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: Estados Unidos - - value: UM - label: - en_US: United States Minor Outlying Islands - zh_Hans: 美国本土外小岛屿 - pt_BR: Ilhas Menores Distantes dos Estados Unidos - - value: UY - label: - en_US: Uruguay - zh_Hans: 乌拉圭 - pt_BR: Uruguai - - value: UZ - label: - en_US: Uzbekistan - zh_Hans: 乌兹别克斯坦 - pt_BR: Uzbequistão - - value: VU - label: - en_US: Vanuatu - zh_Hans: 瓦努阿图 - pt_BR: Vanuatu - - value: VE - label: - en_US: Venezuela - zh_Hans: 委内瑞拉 - pt_BR: Venezuela - - value: VN - label: - en_US: Viet Nam - zh_Hans: 越南 - pt_BR: Vietnã - - value: VG - label: - en_US: Virgin Islands, British - zh_Hans: 英属维尔京群岛 - pt_BR: Ilhas Virgens Britânicas - - value: VI - label: - en_US: Virgin Islands, U.S. - zh_Hans: 美属维尔京群岛 - pt_BR: Ilhas Virgens dos EUA - - value: WF - label: - en_US: Wallis and Futuna - zh_Hans: 瓦利斯和富图纳群岛 - pt_BR: Wallis e Futuna - - value: EH - label: - en_US: Western Sahara - zh_Hans: 西撒哈拉 - pt_BR: Saara Ocidental - - value: YE - label: - en_US: Yemen - zh_Hans: 也门 - pt_BR: Iémen - - value: ZM - label: - en_US: Zambia - zh_Hans: 赞比亚 - pt_BR: Zâmbia - - value: ZW - label: - en_US: Zimbabwe - zh_Hans: 津巴布韦 - pt_BR: Zimbábue - - name: hl - type: select - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: Defines the interface language of the search. Default is "en". - zh_Hans: 定义搜索的界面语言。默认为“en”。 - required: false - default: en - form: form - options: - - value: af - label: - en_US: Afrikaans - zh_Hans: 南非语 - - value: ak - label: - en_US: Akan - zh_Hans: 阿坎语 - - value: sq - label: - en_US: Albanian - zh_Hans: 阿尔巴尼亚语 - - value: ws - label: - en_US: Samoa - zh_Hans: 萨摩亚语 - - value: am - label: - en_US: Amharic - zh_Hans: 阿姆哈拉语 - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: hy - label: - en_US: Armenian - zh_Hans: 亚美尼亚语 - - value: az - label: - en_US: Azerbaijani - zh_Hans: 阿塞拜疆语 - - value: eu - label: - en_US: Basque - zh_Hans: 巴斯克语 - - value: be - label: - en_US: Belarusian - zh_Hans: 白俄罗斯语 - - value: bem - label: - en_US: Bemba - zh_Hans: 班巴语 - - value: bn - label: - en_US: Bengali - zh_Hans: 孟加拉语 - - value: bh - label: - en_US: Bihari - zh_Hans: 比哈尔语 - - value: xx-bork - label: - en_US: Bork, bork, bork! - zh_Hans: 博克语 - - value: bs - label: - en_US: Bosnian - zh_Hans: 波斯尼亚语 - - value: br - label: - en_US: Breton - zh_Hans: 布列塔尼语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: bt - label: - en_US: Bhutanese - zh_Hans: 不丹语 - - value: km - label: - en_US: Cambodian - zh_Hans: 高棉语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: chr - label: - en_US: Cherokee - zh_Hans: 切罗基语 - - value: ny - label: - en_US: Chichewa - zh_Hans: 齐切瓦语 - - value: zh-cn - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - - value: zh-tw - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - - value: co - label: - en_US: Corsican - zh_Hans: 科西嘉语 - - value: hr - label: - en_US: Croatian - zh_Hans: 克罗地亚语 - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: xx-elmer - label: - en_US: Elmer Fudd - zh_Hans: 艾尔默福德语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: eo - label: - en_US: Esperanto - zh_Hans: 世界语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: ee - label: - en_US: Ewe - zh_Hans: 埃维语 - - value: fo - label: - en_US: Faroese - zh_Hans: 法罗语 - - value: tl - label: - en_US: Filipino - zh_Hans: 菲律宾语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: fy - label: - en_US: Frisian - zh_Hans: 弗里西亚语 - - value: gaa - label: - en_US: Ga - zh_Hans: 加语 - - value: gl - label: - en_US: Galician - zh_Hans: 加利西亚语 - - value: ka - label: - en_US: Georgian - zh_Hans: 格鲁吉亚语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: kl - label: - en_US: Greenlandic - zh_Hans: 格陵兰语 - - value: gn - label: - en_US: Guarani - zh_Hans: 瓜拉尼语 - - value: gu - label: - en_US: Gujarati - zh_Hans: 古吉拉特语 - - value: xx-hacker - label: - en_US: Hacker - zh_Hans: 黑客语 - - value: ht - label: - en_US: Haitian Creole - zh_Hans: 海地克里奥尔语 - - value: ha - label: - en_US: Hausa - zh_Hans: 豪萨语 - - value: haw - label: - en_US: Hawaiian - zh_Hans: 夏威夷语 - - value: iw - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: is - label: - en_US: Icelandic - zh_Hans: 冰岛语 - - value: ig - label: - en_US: Igbo - zh_Hans: 伊博语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - - value: ia - label: - en_US: Interlingua - zh_Hans: 国际语 - - value: ga - label: - en_US: Irish - zh_Hans: 爱尔兰语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: jw - label: - en_US: Javanese - zh_Hans: 爪哇语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: kk - label: - en_US: Kazakh - zh_Hans: 哈萨克语 - - value: rw - label: - en_US: Kinyarwanda - zh_Hans: 基尼亚卢旺达语 - - value: rn - label: - en_US: Kirundi - zh_Hans: 基隆迪语 - - value: xx-klingon - label: - en_US: Klingon - zh_Hans: 克林贡语 - - value: kg - label: - en_US: Kongo - zh_Hans: 刚果语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: kri - label: - en_US: Krio (Sierra Leone) - zh_Hans: 塞拉利昂克里奥尔语 - - value: ku - label: - en_US: Kurdish - zh_Hans: 库尔德语 - - value: ckb - label: - en_US: Kurdish (Soranî) - zh_Hans: 库尔德语（索拉尼） - - value: ky - label: - en_US: Kyrgyz - zh_Hans: 吉尔吉斯语 - - value: lo - label: - en_US: Laothian - zh_Hans: 老挝语 - - value: la - label: - en_US: Latin - zh_Hans: 拉丁语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: ln - label: - en_US: Lingala - zh_Hans: 林加拉语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: loz - label: - en_US: Lozi - zh_Hans: 洛齐语 - - value: lg - label: - en_US: Luganda - zh_Hans: 卢干达语 - - value: ach - label: - en_US: Luo - zh_Hans: 卢奥语 - - value: mk - label: - en_US: Macedonian - zh_Hans: 马其顿语 - - value: mg - label: - en_US: Malagasy - zh_Hans: 马尔加什语 - - value: my - label: - en_US: Malay - zh_Hans: 马来语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mt - label: - en_US: Maltese - zh_Hans: 马耳他语 - - value: mv - label: - en_US: Maldives - zh_Hans: 马尔代夫语 - - value: mi - label: - en_US: Maori - zh_Hans: 毛利语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: mfe - label: - en_US: Mauritian Creole - zh_Hans: 毛里求斯克里奥尔语 - - value: mo - label: - en_US: Moldavian - zh_Hans: 摩尔达维亚语 - - value: mn - label: - en_US: Mongolian - zh_Hans: 蒙古语 - - value: sr-me - label: - en_US: Montenegrin - zh_Hans: 黑山语 - - value: ne - label: - en_US: Nepali - zh_Hans: 尼泊尔语 - - value: pcm - label: - en_US: Nigerian Pidgin - zh_Hans: 尼日利亚皮钦语 - - value: nso - label: - en_US: Northern Sotho - zh_Hans: 北索托语 - - value: "no" - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: nn - label: - en_US: Norwegian (Nynorsk) - zh_Hans: 挪威语（尼诺斯克语） - - value: oc - label: - en_US: Occitan - zh_Hans: 奥克语 - - value: or - label: - en_US: Oriya - zh_Hans: 奥里亚语 - - value: om - label: - en_US: Oromo - zh_Hans: 奥罗莫语 - - value: ps - label: - en_US: Pashto - zh_Hans: 普什图语 - - value: fa - label: - en_US: Persian - zh_Hans: 波斯语 - - value: xx-pirate - label: - en_US: Pirate - zh_Hans: 海盗语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt - label: - en_US: Portuguese - zh_Hans: 葡萄牙语 - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: qu - label: - en_US: Quechua - zh_Hans: 克丘亚语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: rm - label: - en_US: Romansh - zh_Hans: 罗曼什语 - - value: nyn - label: - en_US: Runyakitara - zh_Hans: 卢尼亚基塔拉语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: gd - label: - en_US: Scots Gaelic - zh_Hans: 苏格兰盖尔语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: sh - label: - en_US: Serbo-Croatian - zh_Hans: 塞尔维亚-克罗地亚语 - - value: st - label: - en_US: Sesotho - zh_Hans: 塞索托语 - - value: tn - label: - en_US: Setswana - zh_Hans: 塞茨瓦纳语 - - value: crs - label: - en_US: Seychellois Creole - zh_Hans: 塞舌尔克里奥尔语 - - value: sn - label: - en_US: Shona - zh_Hans: 绍纳语 - - value: sd - label: - en_US: Sindhi - zh_Hans: 信德语 - - value: si - label: - en_US: Sinhalese - zh_Hans: 僧伽罗语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: so - label: - en_US: Somali - zh_Hans: 索马里语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: es-419 - label: - en_US: Spanish (Latin American) - zh_Hans: 西班牙语（拉丁美洲） - - value: su - label: - en_US: Sundanese - zh_Hans: 巽他语 - - value: sw - label: - en_US: Swahili - zh_Hans: 斯瓦希里语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: tg - label: - en_US: Tajik - zh_Hans: 塔吉克语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: tt - label: - en_US: Tatar - zh_Hans: 鞑靼语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: ti - label: - en_US: Tigrinya - zh_Hans: 提格利尼亚语 - - value: to - label: - en_US: Tonga - zh_Hans: 汤加语 - - value: lua - label: - en_US: Tshiluba - zh_Hans: 卢巴语 - - value: tum - label: - en_US: Tumbuka - zh_Hans: 图布卡语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: tk - label: - en_US: Turkmen - zh_Hans: 土库曼语 - - value: tw - label: - en_US: Twi - zh_Hans: 契维语 - - value: ug - label: - en_US: Uighur - zh_Hans: 维吾尔语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: ur - label: - en_US: Urdu - zh_Hans: 乌尔都语 - - value: uz - label: - en_US: Uzbek - zh_Hans: 乌兹别克语 - - value: vu - label: - en_US: Vanuatu - zh_Hans: 瓦努阿图语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 - - value: cy - label: - en_US: Welsh - zh_Hans: 威尔士语 - - value: wo - label: - en_US: Wolof - zh_Hans: 沃洛夫语 - - value: xh - label: - en_US: Xhosa - zh_Hans: 科萨语 - - value: yi - label: - en_US: Yiddish - zh_Hans: 意第绪语 - - value: yo - label: - en_US: Yoruba - zh_Hans: 约鲁巴语 - - value: zu - label: - en_US: Zulu - zh_Hans: 祖鲁语 - - name: google_domain - type: string - required: false - label: - en_US: google_domain - zh_Hans: google_domain - human_description: - en_US: Defines the Google domain of the search. Default is "google.com". - zh_Hans: 定义搜索的 Google 域。默认为“google.com”。 - llm_description: Defines Google domain in which you want to search. - form: llm - - name: num - type: number - required: false - label: - en_US: num - zh_Hans: num - human_description: - en_US: Specifies the number of results to display per page. Default is 10. Max number - 100, min - 1. - zh_Hans: 指定每页显示的结果数。默认值为 10。最大数量 - 100，最小数量 - 1。 - pt_BR: Specifies the number of results to display per page. Default is 10. Max number - 100, min - 1. - llm_description: Specifies the num of results to display per page. - form: llm diff --git a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.py b/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.py deleted file mode 100644 index b14821f8312dd0..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.py +++ /dev/null @@ -1,75 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SEARCH_API_URL = "https://www.searchapi.io/api/v1/search" - - -class SearchAPI: - """ - SearchAPI tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SearchAPI tool provider.""" - self.searchapi_api_key = api_key - - def run(self, video_id: str, language: str, **kwargs: Any) -> str: - """Run video_id through SearchAPI and parse result.""" - return self._process_response(self.results(video_id, language, **kwargs)) - - def results(self, video_id: str, language: str, **kwargs: Any) -> dict: - """Run video_id through SearchAPI and return the raw result.""" - params = self.get_params(video_id, language, **kwargs) - response = requests.get( - url=SEARCH_API_URL, - params=params, - headers={"Authorization": f"Bearer {self.searchapi_api_key}"}, - ) - response.raise_for_status() - return response.json() - - def get_params(self, video_id: str, language: str, **kwargs: Any) -> dict[str, str]: - """Get parameters for SearchAPI.""" - return { - "engine": "youtube_transcripts", - "video_id": video_id, - "lang": language or "en", - **{key: value for key, value in kwargs.items() if value not in {None, ""}}, - } - - @staticmethod - def _process_response(res: dict) -> str: - """Process response from SearchAPI.""" - if "error" in res: - return res["error"] - - toret = "" - if "transcripts" in res and "text" in res["transcripts"][0]: - for item in res["transcripts"]: - toret += item["text"] + " " - if toret == "": - toret = "No good search result found" - - return toret - - -class YoutubeTranscriptsTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SearchApi tool. - """ - video_id = tool_parameters["video_id"] - language = tool_parameters.get("language", "en") - - api_key = self.runtime.credentials["searchapi_api_key"] - result = SearchAPI(api_key).run(video_id, language=language) - - return self.create_text_message(text=result) diff --git a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.yaml b/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.yaml deleted file mode 100644 index 8bdcd6bb936d96..00000000000000 --- a/api/core/tools/provider/builtin/searchapi/tools/youtube_transcripts.yaml +++ /dev/null @@ -1,34 +0,0 @@ -identity: - name: youtube_transcripts_api - author: SearchApi - label: - en_US: YouTube Transcripts API - zh_Hans: YouTube 脚本 API -description: - human: - en_US: A tool to retrieve transcripts from the specific YouTube video. - zh_Hans: 一种从特定 YouTube 视频检索文字记录的工具。 - llm: A tool to retrieve transcripts from the specific YouTube video. -parameters: - - name: video_id - type: string - required: true - label: - en_US: video_id - zh_Hans: 视频ID - human_description: - en_US: Used to define the video you want to search. You can find the video id's in YouTube page that appears in URL. For example - https://www.youtube.com/watch?v=video_id. - zh_Hans: 用于定义要搜索的视频。您可以在 URL 中显示的 YouTube 页面中找到视频 ID。例如 - https://www.youtube.com/watch?v=video_id。 - llm_description: Used to define the video you want to search. - form: llm - - name: language - type: string - required: false - label: - en_US: language - zh_Hans: 语言 - human_description: - en_US: Used to set the language for transcripts. The default value is "en". You can find all supported languages in SearchApi documentation. - zh_Hans: 用于设置成绩单的语言。默认值为“en”。您可以在 SearchApi 文档中找到所有支持的语言。 - llm_description: Used to set the language for transcripts. - form: llm diff --git a/api/core/tools/provider/builtin/searxng/_assets/icon.svg b/api/core/tools/provider/builtin/searxng/_assets/icon.svg deleted file mode 100644 index b94fe3728adbff..00000000000000 --- a/api/core/tools/provider/builtin/searxng/_assets/icon.svg +++ /dev/null @@ -1,56 +0,0 @@ - - - - - - - image/svg+xml - - - - - - - - - - - - diff --git a/api/core/tools/provider/builtin/searxng/docker/settings.yml b/api/core/tools/provider/builtin/searxng/docker/settings.yml deleted file mode 100644 index 18e18688002cbc..00000000000000 --- a/api/core/tools/provider/builtin/searxng/docker/settings.yml +++ /dev/null @@ -1,2501 +0,0 @@ -general: - # Debug mode, only for development. Is overwritten by ${SEARXNG_DEBUG} - debug: false - # displayed name - instance_name: "searxng" - # For example: https://example.com/privacy - privacypolicy_url: false - # use true to use your own donation page written in searx/info/en/donate.md - # use false to disable the donation link - donation_url: false - # mailto:contact@example.com - contact_url: false - # record stats - enable_metrics: true - -brand: - new_issue_url: https://github.com/searxng/searxng/issues/new - docs_url: https://docs.searxng.org/ - public_instances: https://searx.space - wiki_url: https://github.com/searxng/searxng/wiki - issue_url: https://github.com/searxng/searxng/issues - # custom: - # maintainer: "Jon Doe" - # # Custom entries in the footer: [title]: [link] - # links: - # Uptime: https://uptime.searxng.org/history/darmarit-org - # About: "https://searxng.org" - -search: - # Filter results. 0: None, 1: Moderate, 2: Strict - safe_search: 0 - # Existing autocomplete backends: "dbpedia", "duckduckgo", "google", "yandex", "mwmbl", - # "seznam", "startpage", "stract", "swisscows", "qwant", "wikipedia" - leave blank to turn it off - # by default. - autocomplete: "" - # minimun characters to type before autocompleter starts - autocomplete_min: 4 - # Default search language - leave blank to detect from browser information or - # use codes from 'languages.py' - default_lang: "auto" - # max_page: 0 # if engine supports paging, 0 means unlimited numbers of pages - # Available languages - # languages: - # - all - # - en - # - en-US - # - de - # - it-IT - # - fr - # - fr-BE - # ban time in seconds after engine errors - ban_time_on_fail: 5 - # max ban time in seconds after engine errors - max_ban_time_on_fail: 120 - suspended_times: - # Engine suspension time after error (in seconds; set to 0 to disable) - # For error "Access denied" and "HTTP error [402, 403]" - SearxEngineAccessDenied: 86400 - # For error "CAPTCHA" - SearxEngineCaptcha: 86400 - # For error "Too many request" and "HTTP error 429" - SearxEngineTooManyRequests: 3600 - # Cloudflare CAPTCHA - cf_SearxEngineCaptcha: 1296000 - cf_SearxEngineAccessDenied: 86400 - # ReCAPTCHA - recaptcha_SearxEngineCaptcha: 604800 - - # remove format to deny access, use lower case. - # formats: [html, csv, json, rss] - formats: - - html - - json - -server: - # Is overwritten by ${SEARXNG_PORT} and ${SEARXNG_BIND_ADDRESS} - port: 8888 - bind_address: "127.0.0.1" - # public URL of the instance, to ensure correct inbound links. Is overwritten - # by ${SEARXNG_URL}. - base_url: http://0.0.0.0:8081/ # "http://example.com/location" - # rate limit the number of request on the instance, block some bots. - # Is overwritten by ${SEARXNG_LIMITER} - limiter: false - # enable features designed only for public instances. - # Is overwritten by ${SEARXNG_PUBLIC_INSTANCE} - public_instance: false - - # If your instance owns a /etc/searxng/settings.yml file, then set the following - # values there. - - secret_key: "772ba36386fb56d0f8fe818941552dabbe69220d4c0eb4a385a5729cdbc20c2d" # Is overwritten by ${SEARXNG_SECRET} - # Proxy image results through SearXNG. Is overwritten by ${SEARXNG_IMAGE_PROXY} - image_proxy: false - # 1.0 and 1.1 are supported - http_protocol_version: "1.0" - # POST queries are more secure as they don't show up in history but may cause - # problems when using Firefox containers - method: "POST" - default_http_headers: - X-Content-Type-Options: nosniff - X-Download-Options: noopen - X-Robots-Tag: noindex, nofollow - Referrer-Policy: no-referrer - -redis: - # URL to connect redis database. Is overwritten by ${SEARXNG_REDIS_URL}. - # https://docs.searxng.org/admin/settings/settings_redis.html#settings-redis - url: false - -ui: - # Custom static path - leave it blank if you didn't change - static_path: "" - # Is overwritten by ${SEARXNG_STATIC_USE_HASH}. - static_use_hash: false - # Custom templates path - leave it blank if you didn't change - templates_path: "" - # query_in_title: When true, the result page's titles contains the query - # it decreases the privacy, since the browser can records the page titles. - query_in_title: false - # infinite_scroll: When true, automatically loads the next page when scrolling to bottom of the current page. - infinite_scroll: false - # ui theme - default_theme: simple - # center the results ? - center_alignment: false - # URL prefix of the internet archive, don't forget trailing slash (if needed). - # cache_url: "https://webcache.googleusercontent.com/search?q=cache:" - # Default interface locale - leave blank to detect from browser information or - # use codes from the 'locales' config section - default_locale: "" - # Open result links in a new tab by default - # results_on_new_tab: false - theme_args: - # style of simple theme: auto, light, dark - simple_style: auto - # Perform search immediately if a category selected. - # Disable to select multiple categories at once and start the search manually. - search_on_category_select: true - # Hotkeys: default or vim - hotkeys: default - -# Lock arbitrary settings on the preferences page. To find the ID of the user -# setting you want to lock, check the ID of the form on the page "preferences". -# -# preferences: -# lock: -# - language -# - autocomplete -# - method -# - query_in_title - -# searx supports result proxification using an external service: -# https://github.com/asciimoo/morty uncomment below section if you have running -# morty proxy the key is base64 encoded (keep the !!binary notation) -# Note: since commit af77ec3, morty accepts a base64 encoded key. -# -# result_proxy: -# url: http://127.0.0.1:3000/ -# # the key is a base64 encoded string, the YAML !!binary prefix is optional -# key: !!binary "your_morty_proxy_key" -# # [true|false] enable the "proxy" button next to each result -# proxify_results: true - -# communication with search engines -# -outgoing: - # default timeout in seconds, can be override by engine - request_timeout: 3.0 - # the maximum timeout in seconds - # max_request_timeout: 10.0 - # suffix of searx_useragent, could contain information like an email address - # to the administrator - useragent_suffix: "" - # The maximum number of concurrent connections that may be established. - pool_connections: 100 - # Allow the connection pool to maintain keep-alive connections below this - # point. - pool_maxsize: 20 - # See https://www.python-httpx.org/http2/ - enable_http2: true - # uncomment below section if you want to use a custom server certificate - # see https://www.python-httpx.org/advanced/#changing-the-verification-defaults - # and https://www.python-httpx.org/compatibility/#ssl-configuration - # verify: ~/.mitmproxy/mitmproxy-ca-cert.cer - # - # uncomment below section if you want to use a proxyq see: SOCKS proxies - # https://2.python-requests.org/en/latest/user/advanced/#proxies - # are also supported: see - # https://2.python-requests.org/en/latest/user/advanced/#socks - # - # proxies: - # all://: - # - http://host.docker.internal:1080 - # - # using_tor_proxy: true - # - # Extra seconds to add in order to account for the time taken by the proxy - # - # extra_proxy_timeout: 10 - # - # uncomment below section only if you have more than one network interface - # which can be the source of outgoing search requests - # - # source_ips: - # - 1.1.1.1 - # - 1.1.1.2 - # - fe80::/126 - -# External plugin configuration, for more details see -# https://docs.searxng.org/dev/plugins.html -# -# plugins: -# - plugin1 -# - plugin2 -# - ... - -# Comment or un-comment plugin to activate / deactivate by default. -# -# enabled_plugins: -# # these plugins are enabled if nothing is configured .. -# - 'Hash plugin' -# - 'Self Information' -# - 'Tracker URL remover' -# - 'Ahmia blacklist' # activation depends on outgoing.using_tor_proxy -# # these plugins are disabled if nothing is configured .. -# - 'Hostnames plugin' # see 'hostnames' configuration below -# - 'Basic Calculator' -# - 'Open Access DOI rewrite' -# - 'Tor check plugin' -# # Read the docs before activate: auto-detection of the language could be -# # detrimental to users expectations / users can activate the plugin in the -# # preferences if they want. -# - 'Autodetect search language' - -# Configuration of the "Hostnames plugin": -# -# hostnames: -# replace: -# '(.*\.)?youtube\.com$': 'invidious.example.com' -# '(.*\.)?youtu\.be$': 'invidious.example.com' -# '(.*\.)?reddit\.com$': 'teddit.example.com' -# '(.*\.)?redd\.it$': 'teddit.example.com' -# '(www\.)?twitter\.com$': 'nitter.example.com' -# remove: -# - '(.*\.)?facebook.com$' -# low_priority: -# - '(.*\.)?google(\..*)?$' -# high_priority: -# - '(.*\.)?wikipedia.org$' -# -# Alternatively you can use external files for configuring the "Hostnames plugin": -# -# hostnames: -# replace: 'rewrite-hosts.yml' -# -# Content of 'rewrite-hosts.yml' (place the file in the same directory as 'settings.yml'): -# '(.*\.)?youtube\.com$': 'invidious.example.com' -# '(.*\.)?youtu\.be$': 'invidious.example.com' -# - -checker: - # disable checker when in debug mode - off_when_debug: true - - # use "scheduling: false" to disable scheduling - # scheduling: interval or int - - # to activate the scheduler: - # * uncomment "scheduling" section - # * add "cache2 = name=searxngcache,items=2000,blocks=2000,blocksize=4096,bitmap=1" - # to your uwsgi.ini - - # scheduling: - # start_after: [300, 1800] # delay to start the first run of the checker - # every: [86400, 90000] # how often the checker runs - - # additional tests: only for the YAML anchors (see the engines section) - # - additional_tests: - rosebud: &test_rosebud - matrix: - query: rosebud - lang: en - result_container: - - not_empty - - ['one_title_contains', 'citizen kane'] - test: - - unique_results - - android: &test_android - matrix: - query: ['android'] - lang: ['en', 'de', 'fr', 'zh-CN'] - result_container: - - not_empty - - ['one_title_contains', 'google'] - test: - - unique_results - - # tests: only for the YAML anchors (see the engines section) - tests: - infobox: &tests_infobox - infobox: - matrix: - query: ["linux", "new york", "bbc"] - result_container: - - has_infobox - -categories_as_tabs: - general: - images: - videos: - news: - map: - music: - it: - science: - files: - social media: - -engines: - - name: 9gag - engine: 9gag - shortcut: 9g - disabled: true - - - name: alpine linux packages - engine: alpinelinux - disabled: true - shortcut: alp - - - name: annas archive - engine: annas_archive - disabled: true - shortcut: aa - - # - name: annas articles - # engine: annas_archive - # shortcut: aaa - # # https://docs.searxng.org/dev/engines/online/annas_archive.html - # aa_content: 'magazine' # book_fiction, book_unknown, book_nonfiction, book_comic - # aa_ext: 'pdf' # pdf, epub, .. - # aa_sort: oldest' # newest, oldest, largest, smallest - - - name: apk mirror - engine: apkmirror - timeout: 4.0 - shortcut: apkm - disabled: true - - - name: apple app store - engine: apple_app_store - shortcut: aps - disabled: true - - # Requires Tor - - name: ahmia - engine: ahmia - categories: onions - enable_http: true - shortcut: ah - - - name: anaconda - engine: xpath - paging: true - first_page_num: 0 - search_url: https://anaconda.org/search?q={query}&page={pageno} - results_xpath: //tbody/tr - url_xpath: ./td/h5/a[last()]/@href - title_xpath: ./td/h5 - content_xpath: ./td[h5]/text() - categories: it - timeout: 6.0 - shortcut: conda - disabled: true - - - name: arch linux wiki - engine: archlinux - shortcut: al - - - name: artic - engine: artic - shortcut: arc - timeout: 4.0 - - - name: arxiv - engine: arxiv - shortcut: arx - timeout: 4.0 - - - name: ask - engine: ask - shortcut: ask - disabled: true - - # tmp suspended: dh key too small - # - name: base - # engine: base - # shortcut: bs - - - name: bandcamp - engine: bandcamp - shortcut: bc - categories: music - - - name: wikipedia - engine: wikipedia - shortcut: wp - # add "list" to the array to get results in the results list - display_type: ["infobox"] - base_url: 'https://{language}.wikipedia.org/' - categories: [general] - - - name: bilibili - engine: bilibili - shortcut: bil - disabled: true - - - name: bing - engine: bing - shortcut: bi - disabled: false - - - name: bing images - engine: bing_images - shortcut: bii - - - name: bing news - engine: bing_news - shortcut: bin - - - name: bing videos - engine: bing_videos - shortcut: biv - - - name: bitbucket - engine: xpath - paging: true - search_url: https://bitbucket.org/repo/all/{pageno}?name={query} - url_xpath: //article[@class="repo-summary"]//a[@class="repo-link"]/@href - title_xpath: //article[@class="repo-summary"]//a[@class="repo-link"] - content_xpath: //article[@class="repo-summary"]/p - categories: [it, repos] - timeout: 4.0 - disabled: true - shortcut: bb - about: - website: https://bitbucket.org/ - wikidata_id: Q2493781 - official_api_documentation: https://developer.atlassian.com/bitbucket - use_official_api: false - require_api_key: false - results: HTML - - - name: bpb - engine: bpb - shortcut: bpb - disabled: true - - - name: btdigg - engine: btdigg - shortcut: bt - disabled: true - - - name: openverse - engine: openverse - categories: images - shortcut: opv - - - name: media.ccc.de - engine: ccc_media - shortcut: c3tv - # We don't set language: de here because media.ccc.de is not just - # for a German audience. It contains many English videos and many - # German videos have English subtitles. - disabled: true - - - name: chefkoch - engine: chefkoch - shortcut: chef - # to show premium or plus results too: - # skip_premium: false - - # - name: core.ac.uk - # engine: core - # categories: science - # shortcut: cor - # # get your API key from: https://core.ac.uk/api-keys/register/ - # api_key: 'unset' - - - name: cppreference - engine: cppreference - shortcut: cpp - paging: false - disabled: true - - - name: crossref - engine: crossref - shortcut: cr - timeout: 30 - disabled: true - - - name: crowdview - engine: json_engine - shortcut: cv - categories: general - paging: false - search_url: https://crowdview-next-js.onrender.com/api/search-v3?query={query} - results_query: results - url_query: link - title_query: title - content_query: snippet - disabled: true - about: - website: https://crowdview.ai/ - - - name: yep - engine: yep - shortcut: yep - categories: general - search_type: web - timeout: 5 - disabled: true - - - name: yep images - engine: yep - shortcut: yepi - categories: images - search_type: images - disabled: true - - - name: yep news - engine: yep - shortcut: yepn - categories: news - search_type: news - disabled: true - - - name: curlie - engine: xpath - shortcut: cl - categories: general - disabled: true - paging: true - lang_all: '' - search_url: https://curlie.org/search?q={query}&lang={lang}&start={pageno}&stime=92452189 - page_size: 20 - results_xpath: //div[@id="site-list-content"]/div[@class="site-item"] - url_xpath: ./div[@class="title-and-desc"]/a/@href - title_xpath: ./div[@class="title-and-desc"]/a/div - content_xpath: ./div[@class="title-and-desc"]/div[@class="site-descr"] - about: - website: https://curlie.org/ - wikidata_id: Q60715723 - use_official_api: false - require_api_key: false - results: HTML - - - name: currency - engine: currency_convert - categories: general - shortcut: cc - - - name: bahnhof - engine: json_engine - search_url: https://www.bahnhof.de/api/stations/search/{query} - url_prefix: https://www.bahnhof.de/ - url_query: slug - title_query: name - content_query: state - shortcut: bf - disabled: true - about: - website: https://www.bahn.de - wikidata_id: Q22811603 - use_official_api: false - require_api_key: false - results: JSON - language: de - tests: - bahnhof: - matrix: - query: berlin - lang: en - result_container: - - not_empty - - ['one_title_contains', 'Berlin Hauptbahnhof'] - test: - - unique_results - - - name: deezer - engine: deezer - shortcut: dz - disabled: true - - - name: destatis - engine: destatis - shortcut: destat - disabled: true - - - name: deviantart - engine: deviantart - shortcut: da - timeout: 3.0 - - - name: ddg definitions - engine: duckduckgo_definitions - shortcut: ddd - weight: 2 - disabled: true - tests: *tests_infobox - - # cloudflare protected - # - name: digbt - # engine: digbt - # shortcut: dbt - # timeout: 6.0 - # disabled: true - - - name: docker hub - engine: docker_hub - shortcut: dh - categories: [it, packages] - - - name: encyclosearch - engine: json_engine - shortcut: es - categories: general - paging: true - search_url: https://encyclosearch.org/encyclosphere/search?q={query}&page={pageno}&resultsPerPage=15 - results_query: Results - url_query: SourceURL - title_query: Title - content_query: Description - disabled: true - about: - website: https://encyclosearch.org - official_api_documentation: https://encyclosearch.org/docs/#/rest-api - use_official_api: true - require_api_key: false - results: JSON - - - name: erowid - engine: xpath - paging: true - first_page_num: 0 - page_size: 30 - search_url: https://www.erowid.org/search.php?q={query}&s={pageno} - url_xpath: //dl[@class="results-list"]/dt[@class="result-title"]/a/@href - title_xpath: //dl[@class="results-list"]/dt[@class="result-title"]/a/text() - content_xpath: //dl[@class="results-list"]/dd[@class="result-details"] - categories: [] - shortcut: ew - disabled: true - about: - website: https://www.erowid.org/ - wikidata_id: Q1430691 - official_api_documentation: - use_official_api: false - require_api_key: false - results: HTML - - # - name: elasticsearch - # shortcut: es - # engine: elasticsearch - # base_url: http://localhost:9200 - # username: elastic - # password: changeme - # index: my-index - # # available options: match, simple_query_string, term, terms, custom - # query_type: match - # # if query_type is set to custom, provide your query here - # #custom_query_json: {"query":{"match_all": {}}} - # #show_metadata: false - # disabled: true - - - name: wikidata - engine: wikidata - shortcut: wd - timeout: 3.0 - weight: 2 - # add "list" to the array to get results in the results list - display_type: ["infobox"] - tests: *tests_infobox - categories: [general] - - - name: duckduckgo - engine: duckduckgo - shortcut: ddg - - - name: duckduckgo images - engine: duckduckgo_extra - categories: [images, web] - ddg_category: images - shortcut: ddi - disabled: true - - - name: duckduckgo videos - engine: duckduckgo_extra - categories: [videos, web] - ddg_category: videos - shortcut: ddv - disabled: true - - - name: duckduckgo news - engine: duckduckgo_extra - categories: [news, web] - ddg_category: news - shortcut: ddn - disabled: true - - - name: duckduckgo weather - engine: duckduckgo_weather - shortcut: ddw - disabled: true - - - name: apple maps - engine: apple_maps - shortcut: apm - disabled: true - timeout: 5.0 - - - name: emojipedia - engine: emojipedia - timeout: 4.0 - shortcut: em - disabled: true - - - name: tineye - engine: tineye - shortcut: tin - timeout: 9.0 - disabled: true - - - name: etymonline - engine: xpath - paging: true - search_url: https://etymonline.com/search?page={pageno}&q={query} - url_xpath: //a[contains(@class, "word__name--")]/@href - title_xpath: //a[contains(@class, "word__name--")] - content_xpath: //section[contains(@class, "word__defination")] - first_page_num: 1 - shortcut: et - categories: [dictionaries] - about: - website: https://www.etymonline.com/ - wikidata_id: Q1188617 - official_api_documentation: - use_official_api: false - require_api_key: false - results: HTML - - # - name: ebay - # engine: ebay - # shortcut: eb - # base_url: 'https://www.ebay.com' - # disabled: true - # timeout: 5 - - - name: 1x - engine: www1x - shortcut: 1x - timeout: 3.0 - disabled: true - - - name: fdroid - engine: fdroid - shortcut: fd - disabled: true - - - name: findthatmeme - engine: findthatmeme - shortcut: ftm - disabled: true - - - name: flickr - categories: images - shortcut: fl - # You can use the engine using the official stable API, but you need an API - # key, see: https://www.flickr.com/services/apps/create/ - # engine: flickr - # api_key: 'apikey' # required! - # Or you can use the html non-stable engine, activated by default - engine: flickr_noapi - - - name: free software directory - engine: mediawiki - shortcut: fsd - categories: [it, software wikis] - base_url: https://directory.fsf.org/ - search_type: title - timeout: 5.0 - disabled: true - about: - website: https://directory.fsf.org/ - wikidata_id: Q2470288 - - # - name: freesound - # engine: freesound - # shortcut: fnd - # disabled: true - # timeout: 15.0 - # API key required, see: https://freesound.org/docs/api/overview.html - # api_key: MyAPIkey - - - name: frinkiac - engine: frinkiac - shortcut: frk - disabled: true - - - name: fyyd - engine: fyyd - shortcut: fy - timeout: 8.0 - disabled: true - - - name: geizhals - engine: geizhals - shortcut: geiz - disabled: true - - - name: genius - engine: genius - shortcut: gen - - - name: gentoo - engine: mediawiki - shortcut: ge - categories: ["it", "software wikis"] - base_url: "https://wiki.gentoo.org/" - api_path: "api.php" - search_type: text - timeout: 10 - - - name: gitlab - engine: json_engine - paging: true - search_url: https://gitlab.com/api/v4/projects?search={query}&page={pageno} - url_query: web_url - title_query: name_with_namespace - content_query: description - page_size: 20 - categories: [it, repos] - shortcut: gl - timeout: 10.0 - disabled: true - about: - website: https://about.gitlab.com/ - wikidata_id: Q16639197 - official_api_documentation: https://docs.gitlab.com/ee/api/ - use_official_api: false - require_api_key: false - results: JSON - - - name: github - engine: github - shortcut: gh - - - name: codeberg - # https://docs.searxng.org/dev/engines/online/gitea.html - engine: gitea - base_url: https://codeberg.org - shortcut: cb - disabled: true - - - name: gitea.com - engine: gitea - base_url: https://gitea.com - shortcut: gitea - disabled: true - - - name: goodreads - engine: goodreads - shortcut: good - timeout: 4.0 - disabled: true - - - name: google - engine: google - shortcut: go - # additional_tests: - # android: *test_android - - - name: google images - engine: google_images - shortcut: goi - # additional_tests: - # android: *test_android - # dali: - # matrix: - # query: ['Dali Christ'] - # lang: ['en', 'de', 'fr', 'zh-CN'] - # result_container: - # - ['one_title_contains', 'Salvador'] - - - name: google news - engine: google_news - shortcut: gon - # additional_tests: - # android: *test_android - - - name: google videos - engine: google_videos - shortcut: gov - # additional_tests: - # android: *test_android - - - name: google scholar - engine: google_scholar - shortcut: gos - - - name: google play apps - engine: google_play - categories: [files, apps] - shortcut: gpa - play_categ: apps - disabled: true - - - name: google play movies - engine: google_play - categories: videos - shortcut: gpm - play_categ: movies - disabled: true - - - name: material icons - engine: material_icons - categories: images - shortcut: mi - disabled: true - - - name: gpodder - engine: json_engine - shortcut: gpod - timeout: 4.0 - paging: false - search_url: https://gpodder.net/search.json?q={query} - url_query: url - title_query: title - content_query: description - page_size: 19 - categories: music - disabled: true - about: - website: https://gpodder.net - wikidata_id: Q3093354 - official_api_documentation: https://gpoddernet.readthedocs.io/en/latest/api/ - use_official_api: false - requires_api_key: false - results: JSON - - - name: habrahabr - engine: xpath - paging: true - search_url: https://habr.com/en/search/page{pageno}/?q={query} - results_xpath: //article[contains(@class, "tm-articles-list__item")] - url_xpath: .//a[@class="tm-title__link"]/@href - title_xpath: .//a[@class="tm-title__link"] - content_xpath: .//div[contains(@class, "article-formatted-body")] - categories: it - timeout: 4.0 - disabled: true - shortcut: habr - about: - website: https://habr.com/ - wikidata_id: Q4494434 - official_api_documentation: https://habr.com/en/docs/help/api/ - use_official_api: false - require_api_key: false - results: HTML - - - name: hackernews - engine: hackernews - shortcut: hn - disabled: true - - - name: hex - engine: hex - shortcut: hex - disabled: true - # Valid values: name inserted_at updated_at total_downloads recent_downloads - sort_criteria: "recent_downloads" - page_size: 10 - - - name: crates.io - engine: crates - shortcut: crates - disabled: true - timeout: 6.0 - - - name: hoogle - engine: xpath - search_url: https://hoogle.haskell.org/?hoogle={query} - results_xpath: '//div[@class="result"]' - title_xpath: './/div[@class="ans"]//a' - url_xpath: './/div[@class="ans"]//a/@href' - content_xpath: './/div[@class="from"]' - page_size: 20 - categories: [it, packages] - shortcut: ho - about: - website: https://hoogle.haskell.org/ - wikidata_id: Q34010 - official_api_documentation: https://hackage.haskell.org/api - use_official_api: false - require_api_key: false - results: JSON - - - name: imdb - engine: imdb - shortcut: imdb - timeout: 6.0 - disabled: true - - - name: imgur - engine: imgur - shortcut: img - disabled: true - - - name: ina - engine: ina - shortcut: in - timeout: 6.0 - disabled: true - - - name: invidious - engine: invidious - # Instanes will be selected randomly, see https://api.invidious.io/ for - # instances that are stable (good uptime) and close to you. - base_url: - - https://invidious.io.lol - - https://invidious.fdn.fr - - https://yt.artemislena.eu - - https://invidious.tiekoetter.com - - https://invidious.flokinet.to - - https://vid.puffyan.us - - https://invidious.privacydev.net - - https://inv.tux.pizza - shortcut: iv - timeout: 3.0 - disabled: true - - - name: jisho - engine: jisho - shortcut: js - timeout: 3.0 - disabled: true - - - name: kickass - engine: kickass - base_url: - - https://kickasstorrents.to - - https://kickasstorrents.cr - - https://kickasstorrent.cr - - https://kickass.sx - - https://kat.am - shortcut: kc - timeout: 4.0 - disabled: true - - - name: lemmy communities - engine: lemmy - lemmy_type: Communities - shortcut: leco - - - name: lemmy users - engine: lemmy - network: lemmy communities - lemmy_type: Users - shortcut: leus - - - name: lemmy posts - engine: lemmy - network: lemmy communities - lemmy_type: Posts - shortcut: lepo - - - name: lemmy comments - engine: lemmy - network: lemmy communities - lemmy_type: Comments - shortcut: lecom - - - name: library genesis - engine: xpath - # search_url: https://libgen.is/search.php?req={query} - search_url: https://libgen.rs/search.php?req={query} - url_xpath: //a[contains(@href,"book/index.php?md5")]/@href - title_xpath: //a[contains(@href,"book/")]/text()[1] - content_xpath: //td/a[1][contains(@href,"=author")]/text() - categories: files - timeout: 7.0 - disabled: true - shortcut: lg - about: - website: https://libgen.fun/ - wikidata_id: Q22017206 - official_api_documentation: - use_official_api: false - require_api_key: false - results: HTML - - - name: z-library - engine: zlibrary - shortcut: zlib - categories: files - timeout: 7.0 - disabled: true - - - name: library of congress - engine: loc - shortcut: loc - categories: images - - - name: libretranslate - engine: libretranslate - # https://github.com/LibreTranslate/LibreTranslate?tab=readme-ov-file#mirrors - base_url: - - https://translate.terraprint.co - - https://trans.zillyhuhn.com - # api_key: abc123 - shortcut: lt - disabled: true - - - name: lingva - engine: lingva - shortcut: lv - # set lingva instance in url, by default it will use the official instance - # url: https://lingva.thedaviddelta.com - - - name: lobste.rs - engine: xpath - search_url: https://lobste.rs/search?q={query}&what=stories&order=relevance - results_xpath: //li[contains(@class, "story")] - url_xpath: .//a[@class="u-url"]/@href - title_xpath: .//a[@class="u-url"] - content_xpath: .//a[@class="domain"] - categories: it - shortcut: lo - timeout: 5.0 - disabled: true - about: - website: https://lobste.rs/ - wikidata_id: Q60762874 - official_api_documentation: - use_official_api: false - require_api_key: false - results: HTML - - - name: mastodon users - engine: mastodon - mastodon_type: accounts - base_url: https://mastodon.social - shortcut: mau - - - name: mastodon hashtags - engine: mastodon - mastodon_type: hashtags - base_url: https://mastodon.social - shortcut: mah - - # - name: matrixrooms - # engine: mrs - # # https://docs.searxng.org/dev/engines/online/mrs.html - # # base_url: https://mrs-api-host - # shortcut: mtrx - # disabled: true - - - name: mdn - shortcut: mdn - engine: json_engine - categories: [it] - paging: true - search_url: https://developer.mozilla.org/api/v1/search?q={query}&page={pageno} - results_query: documents - url_query: mdn_url - url_prefix: https://developer.mozilla.org - title_query: title - content_query: summary - about: - website: https://developer.mozilla.org - wikidata_id: Q3273508 - official_api_documentation: null - use_official_api: false - require_api_key: false - results: JSON - - - name: metacpan - engine: metacpan - shortcut: cpan - disabled: true - number_of_results: 20 - - # - name: meilisearch - # engine: meilisearch - # shortcut: mes - # enable_http: true - # base_url: http://localhost:7700 - # index: my-index - - - name: mixcloud - engine: mixcloud - shortcut: mc - - # MongoDB engine - # Required dependency: pymongo - # - name: mymongo - # engine: mongodb - # shortcut: md - # exact_match_only: false - # host: '127.0.0.1' - # port: 27017 - # enable_http: true - # results_per_page: 20 - # database: 'business' - # collection: 'reviews' # name of the db collection - # key: 'name' # key in the collection to search for - - - name: mozhi - engine: mozhi - base_url: - - https://mozhi.aryak.me - - https://translate.bus-hit.me - - https://nyc1.mz.ggtyler.dev - # mozhi_engine: google - see https://mozhi.aryak.me for supported engines - timeout: 4.0 - shortcut: mz - disabled: true - - - name: mwmbl - engine: mwmbl - # api_url: https://api.mwmbl.org - shortcut: mwm - disabled: true - - - name: npm - engine: npm - shortcut: npm - timeout: 5.0 - disabled: true - - - name: nyaa - engine: nyaa - shortcut: nt - disabled: true - - - name: mankier - engine: json_engine - search_url: https://www.mankier.com/api/v2/mans/?q={query} - results_query: results - url_query: url - title_query: name - content_query: description - categories: it - shortcut: man - about: - website: https://www.mankier.com/ - official_api_documentation: https://www.mankier.com/api - use_official_api: true - require_api_key: false - results: JSON - - # read https://docs.searxng.org/dev/engines/online/mullvad_leta.html - # - name: mullvadleta - # engine: mullvad_leta - # leta_engine: google # choose one of the following: google, brave - # use_cache: true # Only 100 non-cache searches per day, suggested only for private instances - # search_url: https://leta.mullvad.net - # categories: [general, web] - # shortcut: ml - - - name: odysee - engine: odysee - shortcut: od - disabled: true - - - name: openairedatasets - engine: json_engine - paging: true - search_url: https://api.openaire.eu/search/datasets?format=json&page={pageno}&size=10&title={query} - results_query: response/results/result - url_query: metadata/oaf:entity/oaf:result/children/instance/webresource/url/$ - title_query: metadata/oaf:entity/oaf:result/title/$ - content_query: metadata/oaf:entity/oaf:result/description/$ - content_html_to_text: true - categories: "science" - shortcut: oad - timeout: 5.0 - about: - website: https://www.openaire.eu/ - wikidata_id: Q25106053 - official_api_documentation: https://api.openaire.eu/ - use_official_api: false - require_api_key: false - results: JSON - - - name: openairepublications - engine: json_engine - paging: true - search_url: https://api.openaire.eu/search/publications?format=json&page={pageno}&size=10&title={query} - results_query: response/results/result - url_query: metadata/oaf:entity/oaf:result/children/instance/webresource/url/$ - title_query: metadata/oaf:entity/oaf:result/title/$ - content_query: metadata/oaf:entity/oaf:result/description/$ - content_html_to_text: true - categories: science - shortcut: oap - timeout: 5.0 - about: - website: https://www.openaire.eu/ - wikidata_id: Q25106053 - official_api_documentation: https://api.openaire.eu/ - use_official_api: false - require_api_key: false - results: JSON - - - name: openmeteo - engine: open_meteo - shortcut: om - disabled: true - - # - name: opensemanticsearch - # engine: opensemantic - # shortcut: oss - # base_url: 'http://localhost:8983/solr/opensemanticsearch/' - - - name: openstreetmap - engine: openstreetmap - shortcut: osm - - - name: openrepos - engine: xpath - paging: true - search_url: https://openrepos.net/search/node/{query}?page={pageno} - url_xpath: //li[@class="search-result"]//h3[@class="title"]/a/@href - title_xpath: //li[@class="search-result"]//h3[@class="title"]/a - content_xpath: //li[@class="search-result"]//div[@class="search-snippet-info"]//p[@class="search-snippet"] - categories: files - timeout: 4.0 - disabled: true - shortcut: or - about: - website: https://openrepos.net/ - wikidata_id: - official_api_documentation: - use_official_api: false - require_api_key: false - results: HTML - - - name: packagist - engine: json_engine - paging: true - search_url: https://packagist.org/search.json?q={query}&page={pageno} - results_query: results - url_query: url - title_query: name - content_query: description - categories: [it, packages] - disabled: true - timeout: 5.0 - shortcut: pack - about: - website: https://packagist.org - wikidata_id: Q108311377 - official_api_documentation: https://packagist.org/apidoc - use_official_api: true - require_api_key: false - results: JSON - - - name: pdbe - engine: pdbe - shortcut: pdb - # Hide obsolete PDB entries. Default is not to hide obsolete structures - # hide_obsolete: false - - - name: photon - engine: photon - shortcut: ph - - - name: pinterest - engine: pinterest - shortcut: pin - - - name: piped - engine: piped - shortcut: ppd - categories: videos - piped_filter: videos - timeout: 3.0 - - # URL to use as link and for embeds - frontend_url: https://srv.piped.video - # Instance will be selected randomly, for more see https://piped-instances.kavin.rocks/ - backend_url: - - https://pipedapi.kavin.rocks - - https://pipedapi-libre.kavin.rocks - - https://pipedapi.adminforge.de - - - name: piped.music - engine: piped - network: piped - shortcut: ppdm - categories: music - piped_filter: music_songs - timeout: 3.0 - - - name: piratebay - engine: piratebay - shortcut: tpb - # You may need to change this URL to a proxy if piratebay is blocked in your - # country - url: https://thepiratebay.org/ - timeout: 3.0 - - - name: pixiv - shortcut: pv - engine: pixiv - disabled: true - inactive: true - pixiv_image_proxies: - - https://pximg.example.org - # A proxy is required to load the images. Hosting an image proxy server - # for Pixiv: - # --> https://pixivfe.pages.dev/hosting-image-proxy-server/ - # Proxies from public instances. Ask the public instances owners if they - # agree to receive traffic from SearXNG! - # --> https://codeberg.org/VnPower/PixivFE#instances - # --> https://github.com/searxng/searxng/pull/3192#issuecomment-1941095047 - # image proxy of https://pixiv.cat - # - https://i.pixiv.cat - # image proxy of https://www.pixiv.pics - # - https://pximg.cocomi.eu.org - # image proxy of https://pixivfe.exozy.me - # - https://pximg.exozy.me - # image proxy of https://pixivfe.ducks.party - # - https://pixiv.ducks.party - # image proxy of https://pixiv.perennialte.ch - # - https://pximg.perennialte.ch - - - name: podcastindex - engine: podcastindex - shortcut: podcast - - # Required dependency: psychopg2 - # - name: postgresql - # engine: postgresql - # database: postgres - # username: postgres - # password: postgres - # limit: 10 - # query_str: 'SELECT * from my_table WHERE my_column = %(query)s' - # shortcut : psql - - - name: presearch - engine: presearch - search_type: search - categories: [general, web] - shortcut: ps - timeout: 4.0 - disabled: true - - - name: presearch images - engine: presearch - network: presearch - search_type: images - categories: [images, web] - timeout: 4.0 - shortcut: psimg - disabled: true - - - name: presearch videos - engine: presearch - network: presearch - search_type: videos - categories: [general, web] - timeout: 4.0 - shortcut: psvid - disabled: true - - - name: presearch news - engine: presearch - network: presearch - search_type: news - categories: [news, web] - timeout: 4.0 - shortcut: psnews - disabled: true - - - name: pub.dev - engine: xpath - shortcut: pd - search_url: https://pub.dev/packages?q={query}&page={pageno} - paging: true - results_xpath: //div[contains(@class,"packages-item")] - url_xpath: ./div/h3/a/@href - title_xpath: ./div/h3/a - content_xpath: ./div/div/div[contains(@class,"packages-description")]/span - categories: [packages, it] - timeout: 3.0 - disabled: true - first_page_num: 1 - about: - website: https://pub.dev/ - official_api_documentation: https://pub.dev/help/api - use_official_api: false - require_api_key: false - results: HTML - - - name: pubmed - engine: pubmed - shortcut: pub - timeout: 3.0 - - - name: pypi - shortcut: pypi - engine: pypi - - - name: qwant - qwant_categ: web - engine: qwant - disabled: true - shortcut: qw - categories: [general, web] - additional_tests: - rosebud: *test_rosebud - - - name: qwant news - qwant_categ: news - engine: qwant - shortcut: qwn - categories: news - network: qwant - - - name: qwant images - qwant_categ: images - engine: qwant - shortcut: qwi - categories: [images, web] - network: qwant - - - name: qwant videos - qwant_categ: videos - engine: qwant - shortcut: qwv - categories: [videos, web] - network: qwant - - # - name: library - # engine: recoll - # shortcut: lib - # base_url: 'https://recoll.example.org/' - # search_dir: '' - # mount_prefix: /export - # dl_prefix: 'https://download.example.org' - # timeout: 30.0 - # categories: files - # disabled: true - - # - name: recoll library reference - # engine: recoll - # base_url: 'https://recoll.example.org/' - # search_dir: reference - # mount_prefix: /export - # dl_prefix: 'https://download.example.org' - # shortcut: libr - # timeout: 30.0 - # categories: files - # disabled: true - - - name: radio browser - engine: radio_browser - shortcut: rb - - - name: reddit - engine: reddit - shortcut: re - page_size: 25 - disabled: true - - - name: rottentomatoes - engine: rottentomatoes - shortcut: rt - disabled: true - - # Required dependency: redis - # - name: myredis - # shortcut : rds - # engine: redis_server - # exact_match_only: false - # host: '127.0.0.1' - # port: 6379 - # enable_http: true - # password: '' - # db: 0 - - # tmp suspended: bad certificate - # - name: scanr structures - # shortcut: scs - # engine: scanr_structures - # disabled: true - - - name: searchmysite - engine: xpath - shortcut: sms - categories: general - paging: true - search_url: https://searchmysite.net/search/?q={query}&page={pageno} - results_xpath: //div[contains(@class,'search-result')] - url_xpath: .//a[contains(@class,'result-link')]/@href - title_xpath: .//span[contains(@class,'result-title-txt')]/text() - content_xpath: ./p[@id='result-hightlight'] - disabled: true - about: - website: https://searchmysite.net - - - name: sepiasearch - engine: sepiasearch - shortcut: sep - - - name: soundcloud - engine: soundcloud - shortcut: sc - - - name: stackoverflow - engine: stackexchange - shortcut: st - api_site: 'stackoverflow' - categories: [it, q&a] - - - name: askubuntu - engine: stackexchange - shortcut: ubuntu - api_site: 'askubuntu' - categories: [it, q&a] - - - name: internetarchivescholar - engine: internet_archive_scholar - shortcut: ias - timeout: 15.0 - - - name: superuser - engine: stackexchange - shortcut: su - api_site: 'superuser' - categories: [it, q&a] - - - name: discuss.python - engine: discourse - shortcut: dpy - base_url: 'https://discuss.python.org' - categories: [it, q&a] - disabled: true - - - name: caddy.community - engine: discourse - shortcut: caddy - base_url: 'https://caddy.community' - categories: [it, q&a] - disabled: true - - - name: pi-hole.community - engine: discourse - shortcut: pi - categories: [it, q&a] - base_url: 'https://discourse.pi-hole.net' - disabled: true - - - name: searchcode code - engine: searchcode_code - shortcut: scc - disabled: true - - # - name: searx - # engine: searx_engine - # shortcut: se - # instance_urls : - # - http://127.0.0.1:8888/ - # - ... - # disabled: true - - - name: semantic scholar - engine: semantic_scholar - disabled: true - shortcut: se - - # Spotify needs API credentials - # - name: spotify - # engine: spotify - # shortcut: stf - # api_client_id: ******* - # api_client_secret: ******* - - # - name: solr - # engine: solr - # shortcut: slr - # base_url: http://localhost:8983 - # collection: collection_name - # sort: '' # sorting: asc or desc - # field_list: '' # comma separated list of field names to display on the UI - # default_fields: '' # default field to query - # query_fields: '' # query fields - # enable_http: true - - # - name: springer nature - # engine: springer - # # get your API key from: https://dev.springernature.com/signup - # # working API key, for test & debug: "a69685087d07eca9f13db62f65b8f601" - # api_key: 'unset' - # shortcut: springer - # timeout: 15.0 - - - name: startpage - engine: startpage - shortcut: sp - timeout: 6.0 - disabled: true - additional_tests: - rosebud: *test_rosebud - - - name: tokyotoshokan - engine: tokyotoshokan - shortcut: tt - timeout: 6.0 - disabled: true - - - name: solidtorrents - engine: solidtorrents - shortcut: solid - timeout: 4.0 - base_url: - - https://solidtorrents.to - - https://bitsearch.to - - # For this demo of the sqlite engine download: - # https://liste.mediathekview.de/filmliste-v2.db.bz2 - # and unpack into searx/data/filmliste-v2.db - # Query to test: "!demo concert" - # - # - name: demo - # engine: sqlite - # shortcut: demo - # categories: general - # result_template: default.html - # database: searx/data/filmliste-v2.db - # query_str: >- - # SELECT title || ' (' || time(duration, 'unixepoch') || ')' AS title, - # COALESCE( NULLIF(url_video_hd,''), NULLIF(url_video_sd,''), url_video) AS url, - # description AS content - # FROM film - # WHERE title LIKE :wildcard OR description LIKE :wildcard - # ORDER BY duration DESC - - - name: tagesschau - engine: tagesschau - # when set to false, display URLs from Tagesschau, and not the actual source - # (e.g. NDR, WDR, SWR, HR, ...) - use_source_url: true - shortcut: ts - disabled: true - - - name: tmdb - engine: xpath - paging: true - categories: movies - search_url: https://www.themoviedb.org/search?page={pageno}&query={query} - results_xpath: //div[contains(@class,"movie") or contains(@class,"tv")]//div[contains(@class,"card")] - url_xpath: .//div[contains(@class,"poster")]/a/@href - thumbnail_xpath: .//img/@src - title_xpath: .//div[contains(@class,"title")]//h2 - content_xpath: .//div[contains(@class,"overview")] - shortcut: tm - disabled: true - - # Requires Tor - - name: torch - engine: xpath - paging: true - search_url: - http://xmh57jrknzkhv6y3ls3ubitzfqnkrwxhopf5aygthi7d6rplyvk3noyd.onion/cgi-bin/omega/omega?P={query}&DEFAULTOP=and - results_xpath: //table//tr - url_xpath: ./td[2]/a - title_xpath: ./td[2]/b - content_xpath: ./td[2]/small - categories: onions - enable_http: true - shortcut: tch - - # torznab engine lets you query any torznab compatible indexer. Using this - # engine in combination with Jackett opens the possibility to query a lot of - # public and private indexers directly from SearXNG. More details at: - # https://docs.searxng.org/dev/engines/online/torznab.html - # - # - name: Torznab EZTV - # engine: torznab - # shortcut: eztv - # base_url: http://localhost:9117/api/v2.0/indexers/eztv/results/torznab - # enable_http: true # if using localhost - # api_key: xxxxxxxxxxxxxxx - # show_magnet_links: true - # show_torrent_files: false - # # https://github.com/Jackett/Jackett/wiki/Jackett-Categories - # torznab_categories: # optional - # - 2000 - # - 5000 - - # tmp suspended - too slow, too many errors - # - name: urbandictionary - # engine : xpath - # search_url : https://www.urbandictionary.com/define.php?term={query} - # url_xpath : //*[@class="word"]/@href - # title_xpath : //*[@class="def-header"] - # content_xpath: //*[@class="meaning"] - # shortcut: ud - - - name: unsplash - engine: unsplash - shortcut: us - - - name: yandex music - engine: yandex_music - shortcut: ydm - disabled: true - # https://yandex.com/support/music/access.html - inactive: true - - - name: yahoo - engine: yahoo - shortcut: yh - disabled: true - - - name: yahoo news - engine: yahoo_news - shortcut: yhn - - - name: youtube - shortcut: yt - # You can use the engine using the official stable API, but you need an API - # key See: https://console.developers.google.com/project - # - # engine: youtube_api - # api_key: 'apikey' # required! - # - # Or you can use the html non-stable engine, activated by default - engine: youtube_noapi - - - name: dailymotion - engine: dailymotion - shortcut: dm - - - name: vimeo - engine: vimeo - shortcut: vm - disabled: true - - - name: wiby - engine: json_engine - paging: true - search_url: https://wiby.me/json/?q={query}&p={pageno} - url_query: URL - title_query: Title - content_query: Snippet - categories: [general, web] - shortcut: wib - disabled: true - about: - website: https://wiby.me/ - - - name: alexandria - engine: json_engine - shortcut: alx - categories: general - paging: true - search_url: https://api.alexandria.org/?a=1&q={query}&p={pageno} - results_query: results - title_query: title - url_query: url - content_query: snippet - timeout: 1.5 - disabled: true - about: - website: https://alexandria.org/ - official_api_documentation: https://github.com/alexandria-org/alexandria-api/raw/master/README.md - use_official_api: true - require_api_key: false - results: JSON - - - name: wikibooks - engine: mediawiki - weight: 0.5 - shortcut: wb - categories: [general, wikimedia] - base_url: "https://{language}.wikibooks.org/" - search_type: text - disabled: true - about: - website: https://www.wikibooks.org/ - wikidata_id: Q367 - - - name: wikinews - engine: mediawiki - shortcut: wn - categories: [news, wikimedia] - base_url: "https://{language}.wikinews.org/" - search_type: text - srsort: create_timestamp_desc - about: - website: https://www.wikinews.org/ - wikidata_id: Q964 - - - name: wikiquote - engine: mediawiki - weight: 0.5 - shortcut: wq - categories: [general, wikimedia] - base_url: "https://{language}.wikiquote.org/" - search_type: text - disabled: true - additional_tests: - rosebud: *test_rosebud - about: - website: https://www.wikiquote.org/ - wikidata_id: Q369 - - - name: wikisource - engine: mediawiki - weight: 0.5 - shortcut: ws - categories: [general, wikimedia] - base_url: "https://{language}.wikisource.org/" - search_type: text - disabled: true - about: - website: https://www.wikisource.org/ - wikidata_id: Q263 - - - name: wikispecies - engine: mediawiki - shortcut: wsp - categories: [general, science, wikimedia] - base_url: "https://species.wikimedia.org/" - search_type: text - disabled: true - about: - website: https://species.wikimedia.org/ - wikidata_id: Q13679 - tests: - wikispecies: - matrix: - query: "Campbell, L.I. et al. 2011: MicroRNAs" - lang: en - result_container: - - not_empty - - ['one_title_contains', 'Tardigrada'] - test: - - unique_results - - - name: wiktionary - engine: mediawiki - shortcut: wt - categories: [dictionaries, wikimedia] - base_url: "https://{language}.wiktionary.org/" - search_type: text - about: - website: https://www.wiktionary.org/ - wikidata_id: Q151 - - - name: wikiversity - engine: mediawiki - weight: 0.5 - shortcut: wv - categories: [general, wikimedia] - base_url: "https://{language}.wikiversity.org/" - search_type: text - disabled: true - about: - website: https://www.wikiversity.org/ - wikidata_id: Q370 - - - name: wikivoyage - engine: mediawiki - weight: 0.5 - shortcut: wy - categories: [general, wikimedia] - base_url: "https://{language}.wikivoyage.org/" - search_type: text - disabled: true - about: - website: https://www.wikivoyage.org/ - wikidata_id: Q373 - - - name: wikicommons.images - engine: wikicommons - shortcut: wc - categories: images - search_type: images - number_of_results: 10 - - - name: wikicommons.videos - engine: wikicommons - shortcut: wcv - categories: videos - search_type: videos - number_of_results: 10 - - - name: wikicommons.audio - engine: wikicommons - shortcut: wca - categories: music - search_type: audio - number_of_results: 10 - - - name: wikicommons.files - engine: wikicommons - shortcut: wcf - categories: files - search_type: files - number_of_results: 10 - - - name: wolframalpha - shortcut: wa - # You can use the engine using the official stable API, but you need an API - # key. See: https://products.wolframalpha.com/api/ - # - # engine: wolframalpha_api - # api_key: '' - # - # Or you can use the html non-stable engine, activated by default - engine: wolframalpha_noapi - timeout: 6.0 - categories: general - disabled: true - - - name: dictzone - engine: dictzone - shortcut: dc - - - name: mymemory translated - engine: translated - shortcut: tl - timeout: 5.0 - # You can use without an API key, but you are limited to 1000 words/day - # See: https://mymemory.translated.net/doc/usagelimits.php - # api_key: '' - - # Required dependency: mysql-connector-python - # - name: mysql - # engine: mysql_server - # database: mydatabase - # username: user - # password: pass - # limit: 10 - # query_str: 'SELECT * from mytable WHERE fieldname=%(query)s' - # shortcut: mysql - - - name: 1337x - engine: 1337x - shortcut: 1337x - disabled: true - - - name: duden - engine: duden - shortcut: du - disabled: true - - - name: seznam - shortcut: szn - engine: seznam - disabled: true - - # - name: deepl - # engine: deepl - # shortcut: dpl - # # You can use the engine using the official stable API, but you need an API key - # # See: https://www.deepl.com/pro-api?cta=header-pro-api - # api_key: '' # required! - # timeout: 5.0 - # disabled: true - - - name: mojeek - shortcut: mjk - engine: mojeek - categories: [general, web] - disabled: true - - - name: mojeek images - shortcut: mjkimg - engine: mojeek - categories: [images, web] - search_type: images - paging: false - disabled: true - - - name: mojeek news - shortcut: mjknews - engine: mojeek - categories: [news, web] - search_type: news - paging: false - disabled: true - - - name: moviepilot - engine: moviepilot - shortcut: mp - disabled: true - - - name: naver - shortcut: nvr - categories: [general, web] - engine: xpath - paging: true - search_url: https://search.naver.com/search.naver?where=webkr&sm=osp_hty&ie=UTF-8&query={query}&start={pageno} - url_xpath: //a[@class="link_tit"]/@href - title_xpath: //a[@class="link_tit"] - content_xpath: //div[@class="total_dsc_wrap"]/a - first_page_num: 1 - page_size: 10 - disabled: true - about: - website: https://www.naver.com/ - wikidata_id: Q485639 - official_api_documentation: https://developers.naver.com/docs/nmt/examples/ - use_official_api: false - require_api_key: false - results: HTML - language: ko - - - name: rubygems - shortcut: rbg - engine: xpath - paging: true - search_url: https://rubygems.org/search?page={pageno}&query={query} - results_xpath: /html/body/main/div/a[@class="gems__gem"] - url_xpath: ./@href - title_xpath: ./span/h2 - content_xpath: ./span/p - suggestion_xpath: /html/body/main/div/div[@class="search__suggestions"]/p/a - first_page_num: 1 - categories: [it, packages] - disabled: true - about: - website: https://rubygems.org/ - wikidata_id: Q1853420 - official_api_documentation: https://guides.rubygems.org/rubygems-org-api/ - use_official_api: false - require_api_key: false - results: HTML - - - name: peertube - engine: peertube - shortcut: ptb - paging: true - # alternatives see: https://instances.joinpeertube.org/instances - # base_url: https://tube.4aem.com - categories: videos - disabled: true - timeout: 6.0 - - - name: mediathekviewweb - engine: mediathekviewweb - shortcut: mvw - disabled: true - - - name: yacy - # https://docs.searxng.org/dev/engines/online/yacy.html - engine: yacy - categories: general - search_type: text - base_url: - - https://yacy.searchlab.eu - # see https://github.com/searxng/searxng/pull/3631#issuecomment-2240903027 - # - https://search.kyun.li - # - https://yacy.securecomcorp.eu - # - https://yacy.myserv.ca - # - https://yacy.nsupdate.info - # - https://yacy.electroncash.de - shortcut: ya - disabled: true - # if you aren't using HTTPS for your local yacy instance disable https - # enable_http: false - search_mode: 'global' - # timeout can be reduced in 'local' search mode - timeout: 5.0 - - - name: yacy images - engine: yacy - network: yacy - categories: images - search_type: image - shortcut: yai - disabled: true - # timeout can be reduced in 'local' search mode - timeout: 5.0 - - - name: rumble - engine: rumble - shortcut: ru - base_url: https://rumble.com/ - paging: true - categories: videos - disabled: true - - - name: livespace - engine: livespace - shortcut: ls - categories: videos - disabled: true - timeout: 5.0 - - - name: wordnik - engine: wordnik - shortcut: def - base_url: https://www.wordnik.com/ - categories: [dictionaries] - timeout: 5.0 - - - name: woxikon.de synonyme - engine: xpath - shortcut: woxi - categories: [dictionaries] - timeout: 5.0 - disabled: true - search_url: https://synonyme.woxikon.de/synonyme/{query}.php - url_xpath: //div[@class="upper-synonyms"]/a/@href - content_xpath: //div[@class="synonyms-list-group"] - title_xpath: //div[@class="upper-synonyms"]/a - no_result_for_http_status: [404] - about: - website: https://www.woxikon.de/ - wikidata_id: # No Wikidata ID - use_official_api: false - require_api_key: false - results: HTML - language: de - - - name: seekr news - engine: seekr - shortcut: senews - categories: news - seekr_category: news - disabled: true - - - name: seekr images - engine: seekr - network: seekr news - shortcut: seimg - categories: images - seekr_category: images - disabled: true - - - name: seekr videos - engine: seekr - network: seekr news - shortcut: sevid - categories: videos - seekr_category: videos - disabled: true - - - name: sjp.pwn - engine: sjp - shortcut: sjp - base_url: https://sjp.pwn.pl/ - timeout: 5.0 - disabled: true - - - name: stract - engine: stract - shortcut: str - disabled: true - - - name: svgrepo - engine: svgrepo - shortcut: svg - timeout: 10.0 - disabled: true - - - name: tootfinder - engine: tootfinder - shortcut: toot - - - name: voidlinux - engine: voidlinux - shortcut: void - disabled: true - - - name: wallhaven - engine: wallhaven - # api_key: abcdefghijklmnopqrstuvwxyz - shortcut: wh - - # wikimini: online encyclopedia for children - # The fulltext and title parameter is necessary for Wikimini because - # sometimes it will not show the results and redirect instead - - name: wikimini - engine: xpath - shortcut: wkmn - search_url: https://fr.wikimini.org/w/index.php?search={query}&title=Sp%C3%A9cial%3ASearch&fulltext=Search - url_xpath: //li/div[@class="mw-search-result-heading"]/a/@href - title_xpath: //li//div[@class="mw-search-result-heading"]/a - content_xpath: //li/div[@class="searchresult"] - categories: general - disabled: true - about: - website: https://wikimini.org/ - wikidata_id: Q3568032 - use_official_api: false - require_api_key: false - results: HTML - language: fr - - - name: wttr.in - engine: wttr - shortcut: wttr - timeout: 9.0 - - - name: yummly - engine: yummly - shortcut: yum - disabled: true - - - name: brave - engine: brave - shortcut: br - time_range_support: true - paging: true - categories: [general, web] - brave_category: search - # brave_spellcheck: true - - - name: brave.images - engine: brave - network: brave - shortcut: brimg - categories: [images, web] - brave_category: images - - - name: brave.videos - engine: brave - network: brave - shortcut: brvid - categories: [videos, web] - brave_category: videos - - - name: brave.news - engine: brave - network: brave - shortcut: brnews - categories: news - brave_category: news - - # - name: brave.goggles - # engine: brave - # network: brave - # shortcut: brgog - # time_range_support: true - # paging: true - # categories: [general, web] - # brave_category: goggles - # Goggles: # required! This should be a URL ending in .goggle - - - name: lib.rs - shortcut: lrs - engine: lib_rs - disabled: true - - - name: sourcehut - shortcut: srht - engine: xpath - paging: true - search_url: https://sr.ht/projects?page={pageno}&search={query} - results_xpath: (//div[@class="event-list"])[1]/div[@class="event"] - url_xpath: ./h4/a[2]/@href - title_xpath: ./h4/a[2] - content_xpath: ./p - first_page_num: 1 - categories: [it, repos] - disabled: true - about: - website: https://sr.ht - wikidata_id: Q78514485 - official_api_documentation: https://man.sr.ht/ - use_official_api: false - require_api_key: false - results: HTML - - - name: goo - shortcut: goo - engine: xpath - paging: true - search_url: https://search.goo.ne.jp/web.jsp?MT={query}&FR={pageno}0 - url_xpath: //div[@class="result"]/p[@class='title fsL1']/a/@href - title_xpath: //div[@class="result"]/p[@class='title fsL1']/a - content_xpath: //p[contains(@class,'url fsM')]/following-sibling::p - first_page_num: 0 - categories: [general, web] - disabled: true - timeout: 4.0 - about: - website: https://search.goo.ne.jp - wikidata_id: Q249044 - use_official_api: false - require_api_key: false - results: HTML - language: ja - - - name: bt4g - engine: bt4g - shortcut: bt4g - - - name: pkg.go.dev - engine: pkg_go_dev - shortcut: pgo - disabled: true - -# Doku engine lets you access to any Doku wiki instance: -# A public one or a privete/corporate one. -# - name: ubuntuwiki -# engine: doku -# shortcut: uw -# base_url: 'https://doc.ubuntu-fr.org' - -# Be careful when enabling this engine if you are -# running a public instance. Do not expose any sensitive -# information. You can restrict access by configuring a list -# of access tokens under tokens. -# - name: git grep -# engine: command -# command: ['git', 'grep', '{{QUERY}}'] -# shortcut: gg -# tokens: [] -# disabled: true -# delimiter: -# chars: ':' -# keys: ['filepath', 'code'] - -# Be careful when enabling this engine if you are -# running a public instance. Do not expose any sensitive -# information. You can restrict access by configuring a list -# of access tokens under tokens. -# - name: locate -# engine: command -# command: ['locate', '{{QUERY}}'] -# shortcut: loc -# tokens: [] -# disabled: true -# delimiter: -# chars: ' ' -# keys: ['line'] - -# Be careful when enabling this engine if you are -# running a public instance. Do not expose any sensitive -# information. You can restrict access by configuring a list -# of access tokens under tokens. -# - name: find -# engine: command -# command: ['find', '.', '-name', '{{QUERY}}'] -# query_type: path -# shortcut: fnd -# tokens: [] -# disabled: true -# delimiter: -# chars: ' ' -# keys: ['line'] - -# Be careful when enabling this engine if you are -# running a public instance. Do not expose any sensitive -# information. You can restrict access by configuring a list -# of access tokens under tokens. -# - name: pattern search in files -# engine: command -# command: ['fgrep', '{{QUERY}}'] -# shortcut: fgr -# tokens: [] -# disabled: true -# delimiter: -# chars: ' ' -# keys: ['line'] - -# Be careful when enabling this engine if you are -# running a public instance. Do not expose any sensitive -# information. You can restrict access by configuring a list -# of access tokens under tokens. -# - name: regex search in files -# engine: command -# command: ['grep', '{{QUERY}}'] -# shortcut: gr -# tokens: [] -# disabled: true -# delimiter: -# chars: ' ' -# keys: ['line'] - -doi_resolvers: - oadoi.org: 'https://oadoi.org/' - doi.org: 'https://doi.org/' - doai.io: 'https://dissem.in/' - sci-hub.se: 'https://sci-hub.se/' - sci-hub.st: 'https://sci-hub.st/' - sci-hub.ru: 'https://sci-hub.ru/' - -default_doi_resolver: 'oadoi.org' diff --git a/api/core/tools/provider/builtin/searxng/docker/uwsgi.ini b/api/core/tools/provider/builtin/searxng/docker/uwsgi.ini deleted file mode 100644 index 9db3d762649fc5..00000000000000 --- a/api/core/tools/provider/builtin/searxng/docker/uwsgi.ini +++ /dev/null @@ -1,54 +0,0 @@ -[uwsgi] -# Who will run the code -uid = searxng -gid = searxng - -# Number of workers (usually CPU count) -# default value: %k (= number of CPU core, see Dockerfile) -workers = %k - -# Number of threads per worker -# default value: 4 (see Dockerfile) -threads = 4 - -# The right granted on the created socket -chmod-socket = 666 - -# Plugin to use and interpreter config -single-interpreter = true -master = true -plugin = python3 -lazy-apps = true -enable-threads = 4 - -# Module to import -module = searx.webapp - -# Virtualenv and python path -pythonpath = /usr/local/searxng/ -chdir = /usr/local/searxng/searx/ - -# automatically set processes name to something meaningful -auto-procname = true - -# Disable request logging for privacy -disable-logging = true -log-5xx = true - -# Set the max size of a request (request-body excluded) -buffer-size = 8192 - -# No keep alive -# See https://github.com/searx/searx-docker/issues/24 -add-header = Connection: close - -# Follow SIGTERM convention -# See https://github.com/searxng/searxng/issues/3427 -die-on-term - -# uwsgi serves the static files -static-map = /static=/usr/local/searxng/searx/static -# expires set to one day -static-expires = /* 86400 -static-gzip-all = True -offload-threads = 4 diff --git a/api/core/tools/provider/builtin/searxng/searxng.py b/api/core/tools/provider/builtin/searxng/searxng.py deleted file mode 100644 index b7bbcc60b1ed26..00000000000000 --- a/api/core/tools/provider/builtin/searxng/searxng.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.searxng.tools.searxng_search import SearXNGSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SearXNGProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - SearXNGSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={"query": "SearXNG", "limit": 1, "search_type": "general"}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/searxng/searxng.yaml b/api/core/tools/provider/builtin/searxng/searxng.yaml deleted file mode 100644 index 9554c93d5a0c53..00000000000000 --- a/api/core/tools/provider/builtin/searxng/searxng.yaml +++ /dev/null @@ -1,24 +0,0 @@ -identity: - author: Junytang - name: searxng - label: - en_US: SearXNG - zh_Hans: SearXNG - description: - en_US: A free internet metasearch engine. - zh_Hans: 开源免费的互联网元搜索引擎 - icon: icon.svg - tags: - - search - - productivity -credentials_for_provider: - searxng_base_url: - type: text-input - required: true - label: - en_US: SearXNG base URL - zh_Hans: SearXNG base URL - placeholder: - en_US: Please input your SearXNG base URL - zh_Hans: 请输入您的 SearXNG base URL - url: https://docs.dify.ai/tutorials/tool-configuration/searxng diff --git a/api/core/tools/provider/builtin/searxng/tools/searxng_search.py b/api/core/tools/provider/builtin/searxng/tools/searxng_search.py deleted file mode 100644 index c5e339a108e5b2..00000000000000 --- a/api/core/tools/provider/builtin/searxng/tools/searxng_search.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Any - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SearXNGSearchTool(BuiltinTool): - """ - Tool for performing a search using SearXNG engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invoke the SearXNG search tool. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool invocation. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation. - """ - - host = self.runtime.credentials.get("searxng_base_url") - if not host: - raise Exception("SearXNG api is required") - - response = requests.get( - host, - params={ - "q": tool_parameters.get("query"), - "format": "json", - "categories": tool_parameters.get("search_type", "general"), - }, - ) - - if response.status_code != 200: - raise Exception(f"Error {response.status_code}: {response.text}") - - res = response.json().get("results", []) - if not res: - return self.create_text_message(f"No results found, get response: {response.content}") - - return [self.create_json_message(item) for item in res] diff --git a/api/core/tools/provider/builtin/searxng/tools/searxng_search.yaml b/api/core/tools/provider/builtin/searxng/tools/searxng_search.yaml deleted file mode 100644 index a5e448a30375b4..00000000000000 --- a/api/core/tools/provider/builtin/searxng/tools/searxng_search.yaml +++ /dev/null @@ -1,69 +0,0 @@ -identity: - name: searxng_search - author: Junytang - label: - en_US: SearXNG Search - zh_Hans: SearXNG 搜索 -description: - human: - en_US: SearXNG is a free internet metasearch engine which aggregates results from more than 70 search services. - zh_Hans: SearXNG 是一个免费的互联网元搜索引擎，它从70多个不同的搜索服务中聚合搜索结果。 - llm: Perform searches on SearXNG and get results. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - llm_description: Key words for searching - form: llm - - name: search_type - type: select - required: true - label: - en_US: search type - zh_Hans: 搜索类型 - default: general - options: - - value: general - label: - en_US: General - zh_Hans: 综合 - - value: images - label: - en_US: Images - zh_Hans: 图片 - - value: videos - label: - en_US: Videos - zh_Hans: 视频 - - value: news - label: - en_US: News - zh_Hans: 新闻 - - value: map - label: - en_US: Map - zh_Hans: 地图 - - value: music - label: - en_US: Music - zh_Hans: 音乐 - - value: it - label: - en_US: It - zh_Hans: 信息技术 - - value: science - label: - en_US: Science - zh_Hans: 科学 - - value: files - label: - en_US: Files - zh_Hans: 文件 - - value: social_media - label: - en_US: Social Media - zh_Hans: 社交媒体 - form: form diff --git a/api/core/tools/provider/builtin/serper/_assets/icon.svg b/api/core/tools/provider/builtin/serper/_assets/icon.svg deleted file mode 100644 index 3f973a552e5e17..00000000000000 --- a/api/core/tools/provider/builtin/serper/_assets/icon.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - serper - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/serper/serper.py b/api/core/tools/provider/builtin/serper/serper.py deleted file mode 100644 index cb1d090a9dd4b0..00000000000000 --- a/api/core/tools/provider/builtin/serper/serper.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.serper.tools.serper_search import SerperSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SerperProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - SerperSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={"query": "test", "result_type": "link"}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/serper/serper.yaml b/api/core/tools/provider/builtin/serper/serper.yaml deleted file mode 100644 index b3b2d76c4b6573..00000000000000 --- a/api/core/tools/provider/builtin/serper/serper.yaml +++ /dev/null @@ -1,31 +0,0 @@ -identity: - author: zhuhao - name: serper - label: - en_US: Serper - zh_Hans: Serper - pt_BR: Serper - description: - en_US: Serper is a powerful real-time search engine tool API that provides structured data from Google Search. - zh_Hans: Serper 是一个强大的实时搜索引擎工具API，可提供来自 Google 搜索引擎搜索的结构化数据。 - pt_BR: Serper is a powerful real-time search engine tool API that provides structured data from Google Search. - icon: icon.svg - tags: - - search -credentials_for_provider: - serperapi_api_key: - type: secret-input - required: true - label: - en_US: Serper API key - zh_Hans: Serper API key - pt_BR: Serper API key - placeholder: - en_US: Please input your Serper API key - zh_Hans: 请输入你的 Serper API key - pt_BR: Please input your Serper API key - help: - en_US: Get your Serper API key from Serper - zh_Hans: 从 Serper 获取您的 Serper API key - pt_BR: Get your Serper API key from Serper - url: https://serper.dev/api-key diff --git a/api/core/tools/provider/builtin/serper/tools/serper_search.py b/api/core/tools/provider/builtin/serper/tools/serper_search.py deleted file mode 100644 index 7baebbf95855e0..00000000000000 --- a/api/core/tools/provider/builtin/serper/tools/serper_search.py +++ /dev/null @@ -1,34 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SERPER_API_URL = "https://google.serper.dev/search" - - -class SerperSearchTool(BuiltinTool): - def _parse_response(self, response: dict) -> dict: - result = {} - if "knowledgeGraph" in response: - result["title"] = response["knowledgeGraph"].get("title", "") - result["description"] = response["knowledgeGraph"].get("description", "") - if "organic" in response: - result["organic"] = [ - {"title": item.get("title", ""), "link": item.get("link", ""), "snippet": item.get("snippet", "")} - for item in response["organic"] - ] - return result - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - params = {"q": tool_parameters["query"], "gl": "us", "hl": "en"} - headers = {"X-API-KEY": self.runtime.credentials["serperapi_api_key"], "Content-Type": "application/json"} - response = requests.get(url=SERPER_API_URL, params=params, headers=headers) - response.raise_for_status() - valuable_res = self._parse_response(response.json()) - return self.create_json_message(valuable_res) diff --git a/api/core/tools/provider/builtin/serper/tools/serper_search.yaml b/api/core/tools/provider/builtin/serper/tools/serper_search.yaml deleted file mode 100644 index e1c0a056e65513..00000000000000 --- a/api/core/tools/provider/builtin/serper/tools/serper_search.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: serper - author: zhuhao - label: - en_US: Serper - zh_Hans: Serper - pt_BR: Serper -description: - human: - en_US: A tool for performing a Google search and extracting snippets and webpages.Input should be a search query. - zh_Hans: 一个用于执行 Google 搜索并提取片段和网页的工具。输入应该是一个搜索查询。 - pt_BR: A tool for performing a Google search and extracting snippets and webpages.Input should be a search query. - llm: A tool for performing a Google search and extracting snippets and webpages.Input should be a search query. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - pt_BR: Query string - human_description: - en_US: used for searching - zh_Hans: 用于搜索网页内容 - pt_BR: used for searching - llm_description: key words for searching - form: llm diff --git a/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg b/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg deleted file mode 100644 index ad6b384f7acd21..00000000000000 --- a/api/core/tools/provider/builtin/siliconflow/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/siliconflow/siliconflow.py b/api/core/tools/provider/builtin/siliconflow/siliconflow.py deleted file mode 100644 index 37a0b0755b1d39..00000000000000 --- a/api/core/tools/provider/builtin/siliconflow/siliconflow.py +++ /dev/null @@ -1,17 +0,0 @@ -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SiliconflowProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - url = "https://api.siliconflow.cn/v1/models" - headers = { - "accept": "application/json", - "authorization": f"Bearer {credentials.get('siliconFlow_api_key')}", - } - - response = requests.get(url, headers=headers) - if response.status_code != 200: - raise ToolProviderCredentialValidationError("SiliconFlow API key is invalid") diff --git a/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml b/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml deleted file mode 100644 index 46be99f262f211..00000000000000 --- a/api/core/tools/provider/builtin/siliconflow/siliconflow.yaml +++ /dev/null @@ -1,21 +0,0 @@ -identity: - author: hjlarry - name: siliconflow - label: - en_US: SiliconFlow - zh_CN: 硅基流动 - description: - en_US: The image generation API provided by SiliconFlow includes Flux and Stable Diffusion models. - zh_CN: 硅基流动提供的图片生成 API，包含 Flux 和 Stable Diffusion 模型。 - icon: icon.svg - tags: - - image -credentials_for_provider: - siliconFlow_api_key: - type: secret-input - required: true - label: - en_US: SiliconFlow API Key - placeholder: - en_US: Please input your SiliconFlow API key - url: https://cloud.siliconflow.cn/account/ak diff --git a/api/core/tools/provider/builtin/siliconflow/tools/flux.py b/api/core/tools/provider/builtin/siliconflow/tools/flux.py deleted file mode 100644 index 0d16ff385eb30d..00000000000000 --- a/api/core/tools/provider/builtin/siliconflow/tools/flux.py +++ /dev/null @@ -1,43 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -FLUX_URL = { - "schnell": "https://api.siliconflow.cn/v1/black-forest-labs/FLUX.1-schnell/text-to-image", - "dev": "https://api.siliconflow.cn/v1/image/generations", -} - - -class FluxTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "accept": "application/json", - "content-type": "application/json", - "authorization": f"Bearer {self.runtime.credentials['siliconFlow_api_key']}", - } - - payload = { - "prompt": tool_parameters.get("prompt"), - "image_size": tool_parameters.get("image_size", "1024x1024"), - "seed": tool_parameters.get("seed"), - "num_inference_steps": tool_parameters.get("num_inference_steps", 20), - } - model = tool_parameters.get("model", "schnell") - url = FLUX_URL.get(model) - if model == "dev": - payload["model"] = "black-forest-labs/FLUX.1-dev" - - response = requests.post(url, json=payload, headers=headers) - if response.status_code != 200: - return self.create_text_message(f"Got Error Response:{response.text}") - - res = response.json() - result = [self.create_json_message(res)] - for image in res.get("images", []): - result.append(self.create_image_message(image=image.get("url"), save_as=self.VariableKey.IMAGE.value)) - return result diff --git a/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml b/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml deleted file mode 100644 index d06b9bf3e1f489..00000000000000 --- a/api/core/tools/provider/builtin/siliconflow/tools/flux.yaml +++ /dev/null @@ -1,88 +0,0 @@ -identity: - name: flux - author: hjlarry - label: - en_US: Flux - icon: icon.svg -description: - human: - en_US: Generate image via SiliconFlow's flux model. - llm: This tool is used to generate image from prompt via SiliconFlow's flux model. -parameters: - - name: prompt - type: string - required: true - label: - en_US: prompt - zh_Hans: 提示词 - human_description: - en_US: The text prompt used to generate the image. - zh_Hans: 建议用英文的生成图片提示词以获得更好的生成效果。 - llm_description: this prompt text will be used to generate image. - form: llm - - name: model - type: select - required: true - options: - - value: schnell - label: - en_US: Flux.1-schnell - - value: dev - label: - en_US: Flux.1-dev - default: schnell - label: - en_US: Choose Image Model - zh_Hans: 选择生成图片的模型 - form: form - - name: image_size - type: select - required: true - options: - - value: 1024x1024 - label: - en_US: 1024x1024 - - value: 768x1024 - label: - en_US: 768x1024 - - value: 576x1024 - label: - en_US: 576x1024 - - value: 512x1024 - label: - en_US: 512x1024 - - value: 1024x576 - label: - en_US: 1024x576 - - value: 768x512 - label: - en_US: 768x512 - default: 1024x1024 - label: - en_US: Choose Image Size - zh_Hans: 选择生成的图片大小 - form: form - - name: num_inference_steps - type: number - required: true - default: 20 - min: 1 - max: 100 - label: - en_US: Num Inference Steps - zh_Hans: 生成图片的步数 - form: form - human_description: - en_US: The number of inference steps to perform. More steps produce higher quality but take longer. - zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。 - - name: seed - type: number - min: 0 - max: 9999999999 - label: - en_US: Seed - zh_Hans: 种子 - human_description: - en_US: The same seed and prompt can produce similar images. - zh_Hans: 相同的种子和提示可以产生相似的图像。 - form: form diff --git a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py deleted file mode 100644 index db43790c06aaa6..00000000000000 --- a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.py +++ /dev/null @@ -1,49 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -SILICONFLOW_API_URL = "https://api.siliconflow.cn/v1/image/generations" - -SD_MODELS = { - "sd_3": "stabilityai/stable-diffusion-3-medium", - "sd_xl": "stabilityai/stable-diffusion-xl-base-1.0", - "sd_3.5_large": "stabilityai/stable-diffusion-3-5-large", -} - - -class StableDiffusionTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "accept": "application/json", - "content-type": "application/json", - "authorization": f"Bearer {self.runtime.credentials['siliconFlow_api_key']}", - } - - model = tool_parameters.get("model", "sd_3") - sd_model = SD_MODELS.get(model) - - payload = { - "model": sd_model, - "prompt": tool_parameters.get("prompt"), - "negative_prompt": tool_parameters.get("negative_prompt", ""), - "image_size": tool_parameters.get("image_size", "1024x1024"), - "batch_size": tool_parameters.get("batch_size", 1), - "seed": tool_parameters.get("seed"), - "guidance_scale": tool_parameters.get("guidance_scale", 7.5), - "num_inference_steps": tool_parameters.get("num_inference_steps", 20), - } - - response = requests.post(SILICONFLOW_API_URL, json=payload, headers=headers) - if response.status_code != 200: - return self.create_text_message(f"Got Error Response:{response.text}") - - res = response.json() - result = [self.create_json_message(res)] - for image in res.get("images", []): - result.append(self.create_image_message(image=image.get("url"), save_as=self.VariableKey.IMAGE.value)) - return result diff --git a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml b/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml deleted file mode 100644 index b330c92e163a38..00000000000000 --- a/api/core/tools/provider/builtin/siliconflow/tools/stable_diffusion.yaml +++ /dev/null @@ -1,124 +0,0 @@ -identity: - name: stable_diffusion - author: hjlarry - label: - en_US: Stable Diffusion - icon: icon.svg -description: - human: - en_US: Generate image via SiliconFlow's stable diffusion model. - llm: This tool is used to generate image from prompt via SiliconFlow's stable diffusion model. -parameters: - - name: prompt - type: string - required: true - label: - en_US: prompt - zh_Hans: 提示词 - human_description: - en_US: The text prompt used to generate the image. - zh_Hans: 用于生成图片的文字提示词 - llm_description: this prompt text will be used to generate image. - form: llm - - name: negative_prompt - type: string - label: - en_US: negative prompt - zh_Hans: 负面提示词 - human_description: - en_US: Describe what you don't want included in the image. - zh_Hans: 描述您不希望包含在图片中的内容。 - llm_description: Describe what you don't want included in the image. - form: llm - - name: model - type: select - required: true - options: - - value: sd_3 - label: - en_US: Stable Diffusion 3 - - value: sd_xl - label: - en_US: Stable Diffusion XL - - value: sd_3.5_large - label: - en_US: Stable Diffusion 3.5 Large - default: sd_3 - label: - en_US: Choose Image Model - zh_Hans: 选择生成图片的模型 - form: form - - name: image_size - type: select - required: true - options: - - value: 1024x1024 - label: - en_US: 1024x1024 - - value: 1024x2048 - label: - en_US: 1024x2048 - - value: 1152x2048 - label: - en_US: 1152x2048 - - value: 1536x1024 - label: - en_US: 1536x1024 - - value: 1536x2048 - label: - en_US: 1536x2048 - - value: 2048x1152 - label: - en_US: 2048x1152 - default: 1024x1024 - label: - en_US: Choose Image Size - zh_Hans: 选择生成图片的大小 - form: form - - name: batch_size - type: number - required: true - default: 1 - min: 1 - max: 4 - label: - en_US: Number Images - zh_Hans: 生成图片的数量 - form: form - - name: guidance_scale - type: number - required: true - default: 7.5 - min: 0 - max: 100 - label: - en_US: Guidance Scale - zh_Hans: 与提示词紧密性 - human_description: - en_US: Classifier Free Guidance. How close you want the model to stick to your prompt when looking for a related image to show you. - zh_Hans: 无分类器引导。您希望模型在寻找相关图片向您展示时，与您的提示保持多紧密的关联度。 - form: form - - name: num_inference_steps - type: number - required: true - default: 20 - min: 1 - max: 100 - label: - en_US: Num Inference Steps - zh_Hans: 生成图片的步数 - human_description: - en_US: The number of inference steps to perform. More steps produce higher quality but take longer. - zh_Hans: 执行的推理步骤数量。更多的步骤可以产生更高质量的结果，但需要更长的时间。 - form: form - - name: seed - type: number - min: 0 - max: 9999999999 - label: - en_US: Seed - zh_Hans: 种子 - human_description: - en_US: The same seed and prompt can produce similar images. - zh_Hans: 相同的种子和提示可以产生相似的图像。 - form: form diff --git a/api/core/tools/provider/builtin/slack/_assets/icon.svg b/api/core/tools/provider/builtin/slack/_assets/icon.svg deleted file mode 100644 index e43c2c47dc128e..00000000000000 --- a/api/core/tools/provider/builtin/slack/_assets/icon.svg +++ /dev/null @@ -1,22 +0,0 @@ - - - Slack - - - - - - - diff --git a/api/core/tools/provider/builtin/slack/slack.py b/api/core/tools/provider/builtin/slack/slack.py deleted file mode 100644 index 2de7911f63072a..00000000000000 --- a/api/core/tools/provider/builtin/slack/slack.py +++ /dev/null @@ -1,8 +0,0 @@ -from core.tools.provider.builtin.slack.tools.slack_webhook import SlackWebhookTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SlackProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - SlackWebhookTool() - pass diff --git a/api/core/tools/provider/builtin/slack/slack.yaml b/api/core/tools/provider/builtin/slack/slack.yaml deleted file mode 100644 index 1070ffbf038a40..00000000000000 --- a/api/core/tools/provider/builtin/slack/slack.yaml +++ /dev/null @@ -1,16 +0,0 @@ -identity: - author: Pan YANG - name: slack - label: - en_US: Slack - zh_Hans: Slack - pt_BR: Slack - description: - en_US: Slack Webhook - zh_Hans: Slack Webhook - pt_BR: Slack Webhook - icon: icon.svg - tags: - - social - - productivity -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/slack/tools/slack_webhook.py b/api/core/tools/provider/builtin/slack/tools/slack_webhook.py deleted file mode 100644 index 85e0de76755898..00000000000000 --- a/api/core/tools/provider/builtin/slack/tools/slack_webhook.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Any, Union - -import httpx - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SlackWebhookTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Incoming Webhooks - API Document: https://api.slack.com/messaging/webhooks - """ - - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - webhook_url = tool_parameters.get("webhook_url", "") - - if not webhook_url.startswith("https://hooks.slack.com/"): - return self.create_text_message( - f"Invalid parameter webhook_url ${webhook_url}, not a valid Slack webhook URL" - ) - - headers = { - "Content-Type": "application/json", - } - params = {} - payload = { - "text": content, - } - - try: - res = httpx.post(webhook_url, headers=headers, params=params, json=payload) - if res.is_success: - return self.create_text_message("Text message was sent successfully") - else: - return self.create_text_message( - f"Failed to send the text message, status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message("Failed to send message through webhook. {}".format(e)) diff --git a/api/core/tools/provider/builtin/slack/tools/slack_webhook.yaml b/api/core/tools/provider/builtin/slack/tools/slack_webhook.yaml deleted file mode 100644 index b838d743733ec9..00000000000000 --- a/api/core/tools/provider/builtin/slack/tools/slack_webhook.yaml +++ /dev/null @@ -1,40 +0,0 @@ -identity: - name: slack_webhook - author: Pan YANG - label: - en_US: Incoming Webhook to send message - zh_Hans: 通过入站 Webhook 发送消息 - pt_BR: Incoming Webhook to send message - icon: icon.svg -description: - human: - en_US: Sending a message on Slack via the Incoming Webhook - zh_Hans: 通过入站 Webhook 在 Slack 上发送消息 - pt_BR: Sending a message on Slack via the Incoming Webhook - llm: A tool for sending messages to a chat on Slack. -parameters: - - name: webhook_url - type: string - required: true - label: - en_US: Slack Incoming Webhook url - zh_Hans: Slack 入站 Webhook 的 url - pt_BR: Slack Incoming Webhook url - human_description: - en_US: Slack Incoming Webhook url - zh_Hans: Slack 入站 Webhook 的 url - pt_BR: Slack Incoming Webhook url - form: form - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - pt_BR: content - human_description: - en_US: Content to sent to the channel or person. - zh_Hans: 消息内容文本 - pt_BR: Content to sent to the channel or person. - llm_description: Content of the message - form: llm diff --git a/api/core/tools/provider/builtin/slidespeak/_assets/icon.png b/api/core/tools/provider/builtin/slidespeak/_assets/icon.png deleted file mode 100644 index 4cac578330b15602fe79b7151956de358e706f3e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 512 zcmV+b0{{JqP)FT~RK?>|lGz@{QkDuYe8SHV)2JpxsLYa9uEOH~`)Z)@DB{9<2iRCUcDe5};p3 z=8wSQi(wOJZY)GcWBAty{9I^ZvS4(q{dBu^85HF;EhD4Fmst~djJ+&r#`Yet^Z=Eg}9tFPbw2FLOA(;sCP@;#%!;sVgI?ioa?zho6zYBDY*NL+P=*v9wW@8Y* zx2J+er8tFUgt|iO7Vn9(D?!ri`J)QSTmqhiD&P}wtx^G@sOkw&3)BL&KrK)U)B=?X z7!RwRfJuVwv=X*`2;2$4(`gBzai*Q+-_Y?%j8}j;HXA#U;DPNXuq>D{>;YRBB7Fhw zo^B%Y-plz=Ai?y}-_P>g#RQ<;OCN#m>!jJ?=x2DHZnthq1s0PW=v0BcX!p_%Fc0j5 z-VN3+j<}kwN}9f!6@Zo!m>O{wFiXJ6a#{lVU&SwMN~}O;%g`AB0000 None: - api_key = credentials.get("slidespeak_api_key") - base_url = credentials.get("base_url") - - if not api_key: - raise ToolProviderCredentialValidationError("API key is missing") - - if base_url: - base_url = str(URL(base_url) / "v1") - - headers = {"Content-Type": "application/json", "X-API-Key": api_key} - - test_task_id = "xxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" - url = f"{base_url or 'https://api.slidespeak.co/api/v1'}/task_status/{test_task_id}" - - response = requests.get(url, headers=headers) - if response.status_code != 200: - raise ToolProviderCredentialValidationError("Invalid SlidePeak API key") diff --git a/api/core/tools/provider/builtin/slidespeak/slidespeak.yaml b/api/core/tools/provider/builtin/slidespeak/slidespeak.yaml deleted file mode 100644 index 9f6927f1bdcdf3..00000000000000 --- a/api/core/tools/provider/builtin/slidespeak/slidespeak.yaml +++ /dev/null @@ -1,22 +0,0 @@ -identity: - author: Kalo Chin - name: slidespeak - label: - en_US: SlideSpeak - zh_Hans: SlideSpeak - description: - en_US: Generate presentation slides using SlideSpeak API - zh_Hans: 使用 SlideSpeak API 生成演示幻灯片 - icon: icon.png - -credentials_for_provider: - slidespeak_api_key: - type: secret-input - required: true - label: - en_US: API Key - zh_Hans: API 密钥 - placeholder: - en_US: Enter your SlideSpeak API key - zh_Hans: 输入您的 SlideSpeak API 密钥 - url: https://app.slidespeak.co/settings/developer diff --git a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.py b/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.py deleted file mode 100644 index aa4ee63e9767c9..00000000000000 --- a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.py +++ /dev/null @@ -1,163 +0,0 @@ -import asyncio -from dataclasses import asdict, dataclass -from enum import Enum -from typing import Any, Optional, Union - -import aiohttp -from pydantic import ConfigDict - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class SlidesGeneratorTool(BuiltinTool): - """ - Tool for generating presentations using the SlideSpeak API. - """ - - model_config = ConfigDict(arbitrary_types_allowed=True) - - headers: Optional[dict[str, str]] = None - base_url: Optional[str] = None - timeout: Optional[aiohttp.ClientTimeout] = None - poll_interval: Optional[int] = None - - class TaskState(Enum): - FAILURE = "FAILURE" - REVOKED = "REVOKED" - SUCCESS = "SUCCESS" - PENDING = "PENDING" - RECEIVED = "RECEIVED" - STARTED = "STARTED" - - @dataclass - class PresentationRequest: - plain_text: str - length: Optional[int] = None - theme: Optional[str] = None - - async def _generate_presentation( - self, - session: aiohttp.ClientSession, - request: PresentationRequest, - ) -> dict[str, Any]: - """Generate a new presentation asynchronously""" - async with session.post( - f"{self.base_url}/presentation/generate", - headers=self.headers, - json=asdict(request), - timeout=self.timeout, - ) as response: - response.raise_for_status() - return await response.json() - - async def _get_task_status( - self, - session: aiohttp.ClientSession, - task_id: str, - ) -> dict[str, Any]: - """Get the status of a task asynchronously""" - async with session.get( - f"{self.base_url}/task_status/{task_id}", - headers=self.headers, - timeout=self.timeout, - ) as response: - response.raise_for_status() - return await response.json() - - async def _wait_for_completion( - self, - session: aiohttp.ClientSession, - task_id: str, - ) -> str: - """Wait for task completion and return download URL""" - while True: - status = await self._get_task_status(session, task_id) - task_status = self.TaskState(status["task_status"]) - if task_status == self.TaskState.SUCCESS: - return status["task_result"]["url"] - if task_status in [self.TaskState.FAILURE, self.TaskState.REVOKED]: - raise Exception(f"Task failed with status: {task_status.value}") - await asyncio.sleep(self.poll_interval) - - async def _generate_slides( - self, - plain_text: str, - length: Optional[int], - theme: Optional[str], - ) -> str: - """Generate slides and return the download URL""" - async with aiohttp.ClientSession() as session: - request = self.PresentationRequest( - plain_text=plain_text, - length=length, - theme=theme, - ) - result = await self._generate_presentation(session, request) - task_id = result["task_id"] - download_url = await self._wait_for_completion(session, task_id) - return download_url - - async def _fetch_presentation( - self, - session: aiohttp.ClientSession, - download_url: str, - ) -> bytes: - """Fetch the presentation file from the download URL""" - async with session.get(download_url, timeout=self.timeout) as response: - response.raise_for_status() - return await response.read() - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """Synchronous invoke method that runs asynchronous code""" - - async def async_invoke(): - # Extract parameters - plain_text = tool_parameters.get("plain_text", "") - length = tool_parameters.get("length") - theme = tool_parameters.get("theme") - - # Ensure runtime and credentials - if not self.runtime or not self.runtime.credentials: - raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing") - - # Get API key from credentials - api_key = self.runtime.credentials.get("slidespeak_api_key") - if not api_key: - raise ToolProviderCredentialValidationError("SlideSpeak API key is missing") - - # Set configuration - self.headers = { - "Content-Type": "application/json", - "X-API-Key": api_key, - } - self.base_url = "https://api.slidespeak.co/api/v1" - self.timeout = aiohttp.ClientTimeout(total=30) - self.poll_interval = 2 - - # Run the asynchronous slide generation - try: - download_url = await self._generate_slides(plain_text, length, theme) - - # Fetch the presentation file - async with aiohttp.ClientSession() as session: - presentation_bytes = await self._fetch_presentation(session, download_url) - - return [ - self.create_text_message(download_url), - self.create_blob_message( - blob=presentation_bytes, - meta={"mime_type": "application/vnd.openxmlformats-officedocument.presentationml.presentation"}, - ), - ] - except Exception as e: - return [self.create_text_message(f"An error occurred: {str(e)}")] - - # Run the asynchronous code synchronously - result = asyncio.run(async_invoke()) - return result diff --git a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.yaml b/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.yaml deleted file mode 100644 index f881dadb20f82b..00000000000000 --- a/api/core/tools/provider/builtin/slidespeak/tools/slides_generator.yaml +++ /dev/null @@ -1,102 +0,0 @@ -identity: - name: slide_generator - author: Kalo Chin - label: - en_US: Slides Generator - zh_Hans: 幻灯片生成器 -description: - human: - en_US: Generate presentation slides from text using SlideSpeak API. - zh_Hans: 使用 SlideSpeak API 从文本生成演示幻灯片。 - llm: This tool converts text input into a presentation using the SlideSpeak API service, with options for slide length and theme. -parameters: - - name: plain_text - type: string - required: true - label: - en_US: Topic or Content - zh_Hans: 主题或内容 - human_description: - en_US: The topic or content to be converted into presentation slides. - zh_Hans: 需要转换为幻灯片的内容或主题。 - llm_description: A string containing the topic or content to be transformed into presentation slides. - form: llm - - name: length - type: number - required: false - label: - en_US: Number of Slides - zh_Hans: 幻灯片数量 - human_description: - en_US: The desired number of slides in the presentation (optional). - zh_Hans: 演示文稿中所需的幻灯片数量（可选）。 - llm_description: Optional parameter specifying the number of slides to generate. - form: form - - name: theme - type: select - required: false - label: - en_US: Presentation Theme - zh_Hans: 演示主题 - human_description: - en_US: The visual theme for the presentation (optional). - zh_Hans: 演示文稿的视觉主题（可选）。 - llm_description: Optional parameter specifying the presentation theme. - options: - - label: - en_US: Adam - zh_Hans: Adam - value: adam - - label: - en_US: Aurora - zh_Hans: Aurora - value: aurora - - label: - en_US: Bruno - zh_Hans: Bruno - value: bruno - - label: - en_US: Clyde - zh_Hans: Clyde - value: clyde - - label: - en_US: Daniel - zh_Hans: Daniel - value: daniel - - label: - en_US: Default - zh_Hans: Default - value: default - - label: - en_US: Eddy - zh_Hans: Eddy - value: eddy - - label: - en_US: Felix - zh_Hans: Felix - value: felix - - label: - en_US: Gradient - zh_Hans: Gradient - value: gradient - - label: - en_US: Iris - zh_Hans: Iris - value: iris - - label: - en_US: Lavender - zh_Hans: Lavender - value: lavender - - label: - en_US: Monolith - zh_Hans: Monolith - value: monolith - - label: - en_US: Nebula - zh_Hans: Nebula - value: nebula - - label: - en_US: Nexus - zh_Hans: Nexus - value: nexus - form: form diff --git a/api/core/tools/provider/builtin/spark/__init__.py b/api/core/tools/provider/builtin/spark/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/tools/provider/builtin/spark/_assets/icon.svg b/api/core/tools/provider/builtin/spark/_assets/icon.svg deleted file mode 100644 index ef0a9131a48e43..00000000000000 --- a/api/core/tools/provider/builtin/spark/_assets/icon.svg +++ /dev/null @@ -1,5 +0,0 @@ - - - - - diff --git a/api/core/tools/provider/builtin/spark/spark.py b/api/core/tools/provider/builtin/spark/spark.py deleted file mode 100644 index e0b1a58a3f679a..00000000000000 --- a/api/core/tools/provider/builtin/spark/spark.py +++ /dev/null @@ -1,36 +0,0 @@ -import json - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.spark.tools.spark_img_generation import spark_response -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SparkProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - if "APPID" not in credentials or not credentials.get("APPID"): - raise ToolProviderCredentialValidationError("APPID is required.") - if "APISecret" not in credentials or not credentials.get("APISecret"): - raise ToolProviderCredentialValidationError("APISecret is required.") - if "APIKey" not in credentials or not credentials.get("APIKey"): - raise ToolProviderCredentialValidationError("APIKey is required.") - - appid = credentials.get("APPID") - apisecret = credentials.get("APISecret") - apikey = credentials.get("APIKey") - prompt = "a cute black dog" - - try: - response = spark_response(prompt, appid, apikey, apisecret) - data = json.loads(response) - code = data["header"]["code"] - - if code == 0: - # 0 success， - pass - else: - raise ToolProviderCredentialValidationError("image generate error, code:{}".format(code)) - except Exception as e: - raise ToolProviderCredentialValidationError("APPID APISecret APIKey is invalid. {}".format(e)) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/spark/spark.yaml b/api/core/tools/provider/builtin/spark/spark.yaml deleted file mode 100644 index fa1543443a2af8..00000000000000 --- a/api/core/tools/provider/builtin/spark/spark.yaml +++ /dev/null @@ -1,61 +0,0 @@ -identity: - author: Onelevenvy - name: spark - label: - en_US: Spark - zh_Hans: 讯飞星火 - pt_BR: Spark - description: - en_US: Spark Platform Toolkit - zh_Hans: 讯飞星火平台工具 - pt_BR: Pacote de Ferramentas da Plataforma Spark - icon: icon.svg - tags: - - image -credentials_for_provider: - APPID: - type: secret-input - required: true - label: - en_US: Spark APPID - zh_Hans: APPID - pt_BR: Spark APPID - help: - en_US: Please input your APPID - zh_Hans: 请输入你的 APPID - pt_BR: Please input your APPID - placeholder: - en_US: Please input your APPID - zh_Hans: 请输入你的 APPID - pt_BR: Please input your APPID - APISecret: - type: secret-input - required: true - label: - en_US: Spark APISecret - zh_Hans: APISecret - pt_BR: Spark APISecret - help: - en_US: Please input your Spark APISecret - zh_Hans: 请输入你的 APISecret - pt_BR: Please input your Spark APISecret - placeholder: - en_US: Please input your Spark APISecret - zh_Hans: 请输入你的 APISecret - pt_BR: Please input your Spark APISecret - APIKey: - type: secret-input - required: true - label: - en_US: Spark APIKey - zh_Hans: APIKey - pt_BR: Spark APIKey - help: - en_US: Please input your Spark APIKey - zh_Hans: 请输入你的 APIKey - pt_BR: Please input your Spark APIKey - placeholder: - en_US: Please input your Spark APIKey - zh_Hans: 请输入你的 APIKey - pt_BR: Please input Spark APIKey - url: https://console.xfyun.cn/services diff --git a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.py b/api/core/tools/provider/builtin/spark/tools/spark_img_generation.py deleted file mode 100644 index 81d9e8d94185f7..00000000000000 --- a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.py +++ /dev/null @@ -1,139 +0,0 @@ -import base64 -import hashlib -import hmac -import json -from base64 import b64decode -from datetime import datetime -from time import mktime -from typing import Any, Union -from urllib.parse import urlencode -from wsgiref.handlers import format_date_time - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class AssembleHeaderError(Exception): - def __init__(self, msg): - self.message = msg - - -class Url: - def __init__(self, host, path, schema): - self.host = host - self.path = path - self.schema = schema - - -# calculate sha256 and encode to base64 -def sha256base64(data): - sha256 = hashlib.sha256() - sha256.update(data) - digest = base64.b64encode(sha256.digest()).decode(encoding="utf-8") - return digest - - -def parse_url(request_url): - stidx = request_url.index("://") - host = request_url[stidx + 3 :] - schema = request_url[: stidx + 3] - edidx = host.index("/") - if edidx <= 0: - raise AssembleHeaderError("invalid request url:" + request_url) - path = host[edidx:] - host = host[:edidx] - u = Url(host, path, schema) - return u - - -def assemble_ws_auth_url(request_url, method="GET", api_key="", api_secret=""): - u = parse_url(request_url) - host = u.host - path = u.path - now = datetime.now() - date = format_date_time(mktime(now.timetuple())) - signature_origin = "host: {}\ndate: {}\n{} {} HTTP/1.1".format(host, date, method, path) - signature_sha = hmac.new( - api_secret.encode("utf-8"), - signature_origin.encode("utf-8"), - digestmod=hashlib.sha256, - ).digest() - signature_sha = base64.b64encode(signature_sha).decode(encoding="utf-8") - authorization_origin = ( - f'api_key="{api_key}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha}"' - ) - - authorization = base64.b64encode(authorization_origin.encode("utf-8")).decode(encoding="utf-8") - values = {"host": host, "date": date, "authorization": authorization} - - return request_url + "?" + urlencode(values) - - -def get_body(appid, text): - body = { - "header": {"app_id": appid, "uid": "123456789"}, - "parameter": {"chat": {"domain": "general", "temperature": 0.5, "max_tokens": 4096}}, - "payload": {"message": {"text": [{"role": "user", "content": text}]}}, - } - return body - - -def spark_response(text, appid, apikey, apisecret): - host = "http://spark-api.cn-huabei-1.xf-yun.com/v2.1/tti" - url = assemble_ws_auth_url(host, method="POST", api_key=apikey, api_secret=apisecret) - content = get_body(appid, text) - response = requests.post(url, json=content, headers={"content-type": "application/json"}).text - return response - - -class SparkImgGeneratorTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - - if "APPID" not in self.runtime.credentials or not self.runtime.credentials.get("APPID"): - return self.create_text_message("APPID is required.") - if "APISecret" not in self.runtime.credentials or not self.runtime.credentials.get("APISecret"): - return self.create_text_message("APISecret is required.") - if "APIKey" not in self.runtime.credentials or not self.runtime.credentials.get("APIKey"): - return self.create_text_message("APIKey is required.") - - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - res = self.img_generation(prompt) - result = [] - for image in res: - result.append( - self.create_blob_message( - blob=b64decode(image["base64_image"]), - meta={"mime_type": "image/png"}, - save_as=self.VariableKey.IMAGE.value, - ) - ) - return result - - def img_generation(self, prompt): - response = spark_response( - text=prompt, - appid=self.runtime.credentials.get("APPID"), - apikey=self.runtime.credentials.get("APIKey"), - apisecret=self.runtime.credentials.get("APISecret"), - ) - data = json.loads(response) - code = data["header"]["code"] - if code != 0: - return self.create_text_message(f"error: {code}, {data}") - else: - text = data["payload"]["choices"]["text"] - image_content = text[0] - image_base = image_content["content"] - json_data = {"base64_image": image_base} - return [json_data] diff --git a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.yaml b/api/core/tools/provider/builtin/spark/tools/spark_img_generation.yaml deleted file mode 100644 index d44bbc9564ef88..00000000000000 --- a/api/core/tools/provider/builtin/spark/tools/spark_img_generation.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - name: spark_img_generation - author: Onelevenvy - label: - en_US: Spark Image Generation - zh_Hans: 图片生成 - pt_BR: Geração de imagens Spark - icon: icon.svg - description: - en_US: Spark Image Generation - zh_Hans: 图片生成 - pt_BR: Geração de imagens Spark -description: - human: - en_US: Generate images based on user input, with image generation API - provided by Spark - zh_Hans: 根据用户的输入生成图片，由讯飞星火提供图片生成api - pt_BR: Gerar imagens com base na entrada do usuário, com API de geração - de imagem fornecida pela Spark - llm: spark_img_generation is a tool used to generate images from text -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt - zh_Hans: 图像提示词 - pt_BR: Image prompt - llm_description: Image prompt of spark_img_generation tooll, you should - describe the image you want to generate as a list of words as possible - as detailed - form: llm diff --git a/api/core/tools/provider/builtin/spider/_assets/icon.svg b/api/core/tools/provider/builtin/spider/_assets/icon.svg deleted file mode 100644 index 604a09d01d7444..00000000000000 --- a/api/core/tools/provider/builtin/spider/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ -Spider v1 Logo diff --git a/api/core/tools/provider/builtin/spider/spider.py b/api/core/tools/provider/builtin/spider/spider.py deleted file mode 100644 index 5959555318722e..00000000000000 --- a/api/core/tools/provider/builtin/spider/spider.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.spider.spiderApp import Spider -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class SpiderProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - app = Spider(api_key=credentials["spider_api_key"]) - app.scrape_url(url="https://spider.cloud") - except AttributeError as e: - # Handle cases where NoneType is not iterable, which might indicate API issues - if "NoneType" in str(e) and "not iterable" in str(e): - raise ToolProviderCredentialValidationError("API is currently down, try again in 15 minutes", str(e)) - else: - raise ToolProviderCredentialValidationError("An unexpected error occurred.", str(e)) - except Exception as e: - raise ToolProviderCredentialValidationError("An unexpected error occurred.", str(e)) diff --git a/api/core/tools/provider/builtin/spider/spider.yaml b/api/core/tools/provider/builtin/spider/spider.yaml deleted file mode 100644 index 45702c85ddea24..00000000000000 --- a/api/core/tools/provider/builtin/spider/spider.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - author: William Espegren - name: spider - label: - en_US: Spider - zh_CN: Spider - description: - en_US: Spider API integration, returning LLM-ready data by scraping & crawling websites. - zh_CN: Spider API 集成，通过爬取和抓取网站返回 LLM-ready 数据。 - icon: icon.svg - tags: - - search - - utilities -credentials_for_provider: - spider_api_key: - type: secret-input - required: true - label: - en_US: Spider API Key - zh_CN: Spider API 密钥 - placeholder: - en_US: Please input your Spider API key - zh_CN: 请输入您的 Spider API 密钥 - help: - en_US: Get your Spider API key from your Spider dashboard - zh_CN: 从您的 Spider 仪表板中获取 Spider API 密钥。 - url: https://spider.cloud/ diff --git a/api/core/tools/provider/builtin/spider/spiderApp.py b/api/core/tools/provider/builtin/spider/spiderApp.py deleted file mode 100644 index 4bc446a1a092a3..00000000000000 --- a/api/core/tools/provider/builtin/spider/spiderApp.py +++ /dev/null @@ -1,221 +0,0 @@ -import os -from typing import Literal, Optional, TypedDict - -import requests - - -class RequestParamsDict(TypedDict, total=False): - url: Optional[str] - request: Optional[Literal["http", "chrome", "smart"]] - limit: Optional[int] - return_format: Optional[Literal["raw", "markdown", "html2text", "text", "bytes"]] - tld: Optional[bool] - depth: Optional[int] - cache: Optional[bool] - budget: Optional[dict[str, int]] - locale: Optional[str] - cookies: Optional[str] - stealth: Optional[bool] - headers: Optional[dict[str, str]] - anti_bot: Optional[bool] - metadata: Optional[bool] - viewport: Optional[dict[str, int]] - encoding: Optional[str] - subdomains: Optional[bool] - user_agent: Optional[str] - store_data: Optional[bool] - gpt_config: Optional[list[str]] - fingerprint: Optional[bool] - storageless: Optional[bool] - readability: Optional[bool] - proxy_enabled: Optional[bool] - respect_robots: Optional[bool] - query_selector: Optional[str] - full_resources: Optional[bool] - request_timeout: Optional[int] - run_in_background: Optional[bool] - skip_config_checks: Optional[bool] - - -class Spider: - def __init__(self, api_key: Optional[str] = None): - """ - Initialize the Spider with an API key. - - :param api_key: A string of the API key for Spider. Defaults to the SPIDER_API_KEY environment variable. - :raises ValueError: If no API key is provided. - """ - self.api_key = api_key or os.getenv("SPIDER_API_KEY") - if self.api_key is None: - raise ValueError("No API key provided") - - def api_post( - self, - endpoint: str, - data: dict, - stream: bool, - content_type: str = "application/json", - ): - """ - Send a POST request to the specified API endpoint. - - :param endpoint: The API endpoint to which the POST request is sent. - :param data: The data (dictionary) to be sent in the POST request. - :param stream: Boolean indicating if the response should be streamed. - :return: The JSON response or the raw response stream if stream is True. - """ - headers = self._prepare_headers(content_type) - response = self._post_request(f"https://api.spider.cloud/v1/{endpoint}", data, headers, stream) - - if stream: - return response - elif response.status_code == 200: - return response.json() - else: - self._handle_error(response, f"post to {endpoint}") - - def api_get(self, endpoint: str, stream: bool, content_type: str = "application/json"): - """ - Send a GET request to the specified endpoint. - - :param endpoint: The API endpoint from which to retrieve data. - :return: The JSON decoded response. - """ - headers = self._prepare_headers(content_type) - response = self._get_request(f"https://api.spider.cloud/v1/{endpoint}", headers, stream) - if response.status_code == 200: - return response.json() - else: - self._handle_error(response, f"get from {endpoint}") - - def get_credits(self): - """ - Retrieve the account's remaining credits. - - :return: JSON response containing the number of credits left. - """ - return self.api_get("credits", stream=False) - - def scrape_url( - self, - url: str, - params: Optional[RequestParamsDict] = None, - stream: bool = False, - content_type: str = "application/json", - ): - """ - Scrape data from the specified URL. - - :param url: The URL from which to scrape data. - :param params: Optional dictionary of additional parameters for the scrape request. - :return: JSON response containing the scraping results. - """ - params = params or {} - - # Add { "return_format": "markdown" } to the params if not already present - if "return_format" not in params: - params["return_format"] = "markdown" - - # Set limit to 1 - params["limit"] = 1 - - return self.api_post("crawl", {"url": url, **(params or {})}, stream, content_type) - - def crawl_url( - self, - url: str, - params: Optional[RequestParamsDict] = None, - stream: bool = False, - content_type: str = "application/json", - ): - """ - Start crawling at the specified URL. - - :param url: The URL to begin crawling. - :param params: Optional dictionary with additional parameters to customize the crawl. - :param stream: Boolean indicating if the response should be streamed. Defaults to False. - :return: JSON response or the raw response stream if streaming enabled. - """ - params = params or {} - - # Add { "return_format": "markdown" } to the params if not already present - if "return_format" not in params: - params["return_format"] = "markdown" - - return self.api_post("crawl", {"url": url, **(params or {})}, stream, content_type) - - def links( - self, - url: str, - params: Optional[RequestParamsDict] = None, - stream: bool = False, - content_type: str = "application/json", - ): - """ - Retrieve links from the specified URL. - - :param url: The URL from which to extract links. - :param params: Optional parameters for the link retrieval request. - :return: JSON response containing the links. - """ - return self.api_post("links", {"url": url, **(params or {})}, stream, content_type) - - def extract_contacts( - self, - url: str, - params: Optional[RequestParamsDict] = None, - stream: bool = False, - content_type: str = "application/json", - ): - """ - Extract contact information from the specified URL. - - :param url: The URL from which to extract contact information. - :param params: Optional parameters for the contact extraction. - :return: JSON response containing extracted contact details. - """ - return self.api_post( - "pipeline/extract-contacts", - {"url": url, **(params or {})}, - stream, - content_type, - ) - - def label( - self, - url: str, - params: Optional[RequestParamsDict] = None, - stream: bool = False, - content_type: str = "application/json", - ): - """ - Apply labeling to data extracted from the specified URL. - - :param url: The URL to label data from. - :param params: Optional parameters to guide the labeling process. - :return: JSON response with labeled data. - """ - return self.api_post("pipeline/label", {"url": url, **(params or {})}, stream, content_type) - - def _prepare_headers(self, content_type: str = "application/json"): - return { - "Content-Type": content_type, - "Authorization": f"Bearer {self.api_key}", - "User-Agent": "Spider-Client/0.0.27", - } - - def _post_request(self, url: str, data, headers, stream=False): - return requests.post(url, headers=headers, json=data, stream=stream) - - def _get_request(self, url: str, headers, stream=False): - return requests.get(url, headers=headers, stream=stream) - - def _delete_request(self, url: str, headers, stream=False): - return requests.delete(url, headers=headers, stream=stream) - - def _handle_error(self, response, action): - if response.status_code in {402, 409, 500}: - error_message = response.json().get("error", "Unknown error occurred") - raise Exception(f"Failed to {action}. Status code: {response.status_code}. Error: {error_message}") - else: - raise Exception(f"Unexpected error occurred while trying to {action}. Status code: {response.status_code}") diff --git a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.py b/api/core/tools/provider/builtin/spider/tools/scraper_crawler.py deleted file mode 100644 index 20d2daef550de1..00000000000000 --- a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.py +++ /dev/null @@ -1,49 +0,0 @@ -from typing import Any, Union - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.spider.spiderApp import Spider -from core.tools.tool.builtin_tool import BuiltinTool - - -class ScrapeTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - # initialize the app object with the api key - app = Spider(api_key=self.runtime.credentials["spider_api_key"]) - - url = tool_parameters["url"] - mode = tool_parameters["mode"] - - options = { - "limit": tool_parameters.get("limit", 0), - "depth": tool_parameters.get("depth", 0), - "blacklist": tool_parameters.get("blacklist", "").split(",") if tool_parameters.get("blacklist") else [], - "whitelist": tool_parameters.get("whitelist", "").split(",") if tool_parameters.get("whitelist") else [], - "readability": tool_parameters.get("readability", False), - } - - result = "" - - try: - if mode == "scrape": - scrape_result = app.scrape_url( - url=url, - params=options, - ) - - for i in scrape_result: - result += "URL: " + i.get("url", "") + "\n" - result += "CONTENT: " + i.get("content", "") + "\n\n" - elif mode == "crawl": - crawl_result = app.crawl_url( - url=tool_parameters["url"], - params=options, - ) - for i in crawl_result: - result += "URL: " + i.get("url", "") + "\n" - result += "CONTENT: " + i.get("content", "") + "\n\n" - except Exception as e: - return self.create_text_message("An error occurred", str(e)) - - return self.create_text_message(result) diff --git a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.yaml b/api/core/tools/provider/builtin/spider/tools/scraper_crawler.yaml deleted file mode 100644 index 5b20c2fc2f70ad..00000000000000 --- a/api/core/tools/provider/builtin/spider/tools/scraper_crawler.yaml +++ /dev/null @@ -1,102 +0,0 @@ -identity: - name: scraper_crawler - author: William Espegren - label: - en_US: Web Scraper & Crawler - zh_Hans: 网页抓取与爬虫 -description: - human: - en_US: A tool for scraping & crawling webpages. Input should be a url. - zh_Hans: 用于抓取和爬取网页的工具。输入应该是一个网址。 - llm: A tool for scraping & crawling webpages. Input should be a url. -parameters: - - name: url - type: string - required: true - label: - en_US: URL - zh_Hans: 网址 - human_description: - en_US: url to be scraped or crawled - zh_Hans: 要抓取或爬取的网址 - llm_description: url to either be scraped or crawled - form: llm - - name: mode - type: select - required: true - options: - - value: scrape - label: - en_US: scrape - zh_Hans: 抓取 - - value: crawl - label: - en_US: crawl - zh_Hans: 爬取 - default: crawl - label: - en_US: Mode - zh_Hans: 模式 - human_description: - en_US: used for selecting to either scrape the website or crawl the entire website following subpages - zh_Hans: 用于选择抓取网站或爬取整个网站及其子页面 - form: form - - name: limit - type: number - required: false - label: - en_US: maximum number of pages to crawl - zh_Hans: 最大爬取页面数 - human_description: - en_US: specify the maximum number of pages to crawl per website. the crawler will stop after reaching this limit. - zh_Hans: 指定每个网站要爬取的最大页面数。爬虫将在达到此限制后停止。 - form: form - min: 0 - default: 0 - - name: depth - type: number - required: false - label: - en_US: maximum depth of pages to crawl - zh_Hans: 最大爬取深度 - human_description: - en_US: the crawl limit for maximum depth. - zh_Hans: 最大爬取深度的限制。 - form: form - min: 0 - default: 0 - - name: blacklist - type: string - required: false - label: - en_US: url patterns to exclude - zh_Hans: 要排除的URL模式 - human_description: - en_US: blacklist a set of paths that you do not want to crawl. you can use regex patterns to help with the list. - zh_Hans: 指定一组不想爬取的路径。您可以使用正则表达式模式来帮助定义列表。 - placeholder: - en_US: /blog/*, /about - form: form - - name: whitelist - type: string - required: false - label: - en_US: URL patterns to include - zh_Hans: 要包含的URL模式 - human_description: - en_US: Whitelist a set of paths that you want to crawl, ignoring all other routes that do not match the patterns. You can use regex patterns to help with the list. - zh_Hans: 指定一组要爬取的路径，忽略所有不匹配模式的其他路由。您可以使用正则表达式模式来帮助定义列表。 - placeholder: - en_US: /blog/*, /about - form: form - - name: readability - type: boolean - required: false - label: - en_US: Pre-process the content for LLM usage - zh_Hans: 仅返回页面的主要内容 - human_description: - en_US: Use Mozilla's readability to pre-process the content for reading. This may drastically improve the content for LLM usage. - zh_Hans: 如果启用，爬虫将仅返回页面的主要内容，不包括标题、导航、页脚等。 - form: form - default: false diff --git a/api/core/tools/provider/builtin/stability/_assets/icon.svg b/api/core/tools/provider/builtin/stability/_assets/icon.svg deleted file mode 100644 index 56357a35557ac3..00000000000000 --- a/api/core/tools/provider/builtin/stability/_assets/icon.svg +++ /dev/null @@ -1,10 +0,0 @@ - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/stability/stability.py b/api/core/tools/provider/builtin/stability/stability.py deleted file mode 100644 index f09d81ac270288..00000000000000 --- a/api/core/tools/provider/builtin/stability/stability.py +++ /dev/null @@ -1,16 +0,0 @@ -from typing import Any - -from core.tools.provider.builtin.stability.tools.base import BaseStabilityAuthorization -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class StabilityToolProvider(BuiltinToolProviderController, BaseStabilityAuthorization): - """ - This class is responsible for providing the stability tool. - """ - - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - """ - This method is responsible for validating the credentials. - """ - self.sd_validate_credentials(credentials) diff --git a/api/core/tools/provider/builtin/stability/stability.yaml b/api/core/tools/provider/builtin/stability/stability.yaml deleted file mode 100644 index c3e01c1e314d51..00000000000000 --- a/api/core/tools/provider/builtin/stability/stability.yaml +++ /dev/null @@ -1,31 +0,0 @@ -identity: - author: Dify - name: stability - label: - en_US: Stability - zh_Hans: Stability - pt_BR: Stability - description: - en_US: Activating humanity's potential through generative AI - zh_Hans: 通过生成式 AI 激活人类的潜力 - pt_BR: Activating humanity's potential through generative AI - icon: icon.svg - tags: - - image -credentials_for_provider: - api_key: - type: secret-input - required: true - label: - en_US: API key - zh_Hans: API key - pt_BR: API key - placeholder: - en_US: Please input your API key - zh_Hans: 请输入你的 API key - pt_BR: Please input your API key - help: - en_US: Get your API key from Stability - zh_Hans: 从 Stability 获取你的 API key - pt_BR: Get your API key from Stability - url: https://platform.stability.ai/account/keys diff --git a/api/core/tools/provider/builtin/stability/tools/base.py b/api/core/tools/provider/builtin/stability/tools/base.py deleted file mode 100644 index 2d1cd928703151..00000000000000 --- a/api/core/tools/provider/builtin/stability/tools/base.py +++ /dev/null @@ -1,31 +0,0 @@ -import requests -from yarl import URL - -from core.tools.errors import ToolProviderCredentialValidationError - - -class BaseStabilityAuthorization: - def sd_validate_credentials(self, credentials: dict): - """ - This method is responsible for validating the credentials. - """ - api_key = credentials.get("api_key", "") - if not api_key: - raise ToolProviderCredentialValidationError("API key is required.") - - response = requests.get( - URL("https://api.stability.ai") / "v1" / "user" / "account", - headers=self.generate_authorization_headers(credentials), - timeout=(5, 30), - ) - - if not response.ok: - raise ToolProviderCredentialValidationError("Invalid API key.") - - return True - - def generate_authorization_headers(self, credentials: dict) -> dict[str, str]: - """ - This method is responsible for generating the authorization headers. - """ - return {"Authorization": f"Bearer {credentials.get('api_key', '')}"} diff --git a/api/core/tools/provider/builtin/stability/tools/text2image.py b/api/core/tools/provider/builtin/stability/tools/text2image.py deleted file mode 100644 index 6bcf315484ad50..00000000000000 --- a/api/core/tools/provider/builtin/stability/tools/text2image.py +++ /dev/null @@ -1,56 +0,0 @@ -from typing import Any - -from httpx import post - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.provider.builtin.stability.tools.base import BaseStabilityAuthorization -from core.tools.tool.builtin_tool import BuiltinTool - - -class StableDiffusionTool(BuiltinTool, BaseStabilityAuthorization): - """ - This class is responsible for providing the stable diffusion tool. - """ - - model_endpoint_map: dict[str, str] = { - "sd3": "https://api.stability.ai/v2beta/stable-image/generate/sd3", - "sd3-turbo": "https://api.stability.ai/v2beta/stable-image/generate/sd3", - "core": "https://api.stability.ai/v2beta/stable-image/generate/core", - } - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invoke the tool. - """ - payload = { - "prompt": tool_parameters.get("prompt", ""), - "aspect_ratio": tool_parameters.get("aspect_ratio", "16:9") or tool_parameters.get("aspect_radio", "16:9"), - "mode": "text-to-image", - "seed": tool_parameters.get("seed", 0), - "output_format": "png", - } - - model = tool_parameters.get("model", "core") - - if model in {"sd3", "sd3-turbo"}: - payload["model"] = tool_parameters.get("model") - - if model != "sd3-turbo": - payload["negative_prompt"] = tool_parameters.get("negative_prompt", "") - - response = post( - self.model_endpoint_map[tool_parameters.get("model", "core")], - headers={ - "accept": "image/*", - **self.generate_authorization_headers(self.runtime.credentials), - }, - files={key: (None, str(value)) for key, value in payload.items()}, - timeout=(5, 30), - ) - - if not response.status_code == 200: - raise Exception(response.text) - - return self.create_blob_message( - blob=response.content, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value - ) diff --git a/api/core/tools/provider/builtin/stability/tools/text2image.yaml b/api/core/tools/provider/builtin/stability/tools/text2image.yaml deleted file mode 100644 index 21345f9f187f07..00000000000000 --- a/api/core/tools/provider/builtin/stability/tools/text2image.yaml +++ /dev/null @@ -1,142 +0,0 @@ -identity: - name: stability_text2image - author: Dify - label: - en_US: StableDiffusion - zh_Hans: 稳定扩散 - pt_BR: StableDiffusion -description: - human: - en_US: A tool for generate images based on the text input - zh_Hans: 一个基于文本输入生成图像的工具 - pt_BR: A tool for generate images based on the text input - llm: A tool for generate images based on the text input -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: used for generating images - zh_Hans: 用于生成图像 - pt_BR: used for generating images - llm_description: key words for generating images - form: llm - - name: model - type: select - default: sd3-turbo - required: true - label: - en_US: Model - zh_Hans: 模型 - pt_BR: Model - options: - - value: core - label: - en_US: Core - zh_Hans: Core - pt_BR: Core - - value: sd3 - label: - en_US: Stable Diffusion 3 - zh_Hans: Stable Diffusion 3 - pt_BR: Stable Diffusion 3 - - value: sd3-turbo - label: - en_US: Stable Diffusion 3 Turbo - zh_Hans: Stable Diffusion 3 Turbo - pt_BR: Stable Diffusion 3 Turbo - human_description: - en_US: Model for generating images - zh_Hans: 用于生成图像的模型 - pt_BR: Model for generating images - llm_description: Model for generating images - form: form - - name: negative_prompt - type: string - default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines - required: false - label: - en_US: Negative Prompt - zh_Hans: 负面提示 - pt_BR: Negative Prompt - human_description: - en_US: Negative Prompt - zh_Hans: 负面提示 - pt_BR: Negative Prompt - llm_description: Negative Prompt - form: form - - name: seeds - type: number - default: 0 - required: false - label: - en_US: Seeds - zh_Hans: 种子 - pt_BR: Seeds - human_description: - en_US: Seeds - zh_Hans: 种子 - pt_BR: Seeds - llm_description: Seeds - min: 0 - max: 4294967294 - form: form - - name: aspect_ratio - type: select - default: '16:9' - options: - - value: '16:9' - label: - en_US: '16:9' - zh_Hans: '16:9' - pt_BR: '16:9' - - value: '1:1' - label: - en_US: '1:1' - zh_Hans: '1:1' - pt_BR: '1:1' - - value: '21:9' - label: - en_US: '21:9' - zh_Hans: '21:9' - pt_BR: '21:9' - - value: '2:3' - label: - en_US: '2:3' - zh_Hans: '2:3' - pt_BR: '2:3' - - value: '4:5' - label: - en_US: '4:5' - zh_Hans: '4:5' - pt_BR: '4:5' - - value: '5:4' - label: - en_US: '5:4' - zh_Hans: '5:4' - pt_BR: '5:4' - - value: '9:16' - label: - en_US: '9:16' - zh_Hans: '9:16' - pt_BR: '9:16' - - value: '9:21' - label: - en_US: '9:21' - zh_Hans: '9:21' - pt_BR: '9:21' - required: false - label: - en_US: Aspect Ratio - zh_Hans: 长宽比 - pt_BR: Aspect Ratio - human_description: - en_US: Aspect Ratio - zh_Hans: 长宽比 - pt_BR: Aspect Ratio - llm_description: Aspect Ratio - form: form diff --git a/api/core/tools/provider/builtin/stablediffusion/_assets/icon.png b/api/core/tools/provider/builtin/stablediffusion/_assets/icon.png deleted file 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q257{AYw-Uad;fp`8kgRGz^JYy`M|BjoefUs1Da2DRcn=PBmWQ3F(GCE diff --git a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.py b/api/core/tools/provider/builtin/stablediffusion/stablediffusion.py deleted file mode 100644 index abaa297cf36eb1..00000000000000 --- a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.py +++ /dev/null @@ -1,17 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.stablediffusion.tools.stable_diffusion import StableDiffusionTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class StableDiffusionProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - StableDiffusionTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).validate_models() - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml b/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml deleted file mode 100644 index 9b3c804f722dfc..00000000000000 --- a/api/core/tools/provider/builtin/stablediffusion/stablediffusion.yaml +++ /dev/null @@ -1,42 +0,0 @@ -identity: - author: Dify - name: stablediffusion - label: - en_US: Stable Diffusion - zh_Hans: Stable Diffusion - pt_BR: Stable Diffusion - description: - en_US: Stable Diffusion is a tool for generating images which can be deployed locally. - zh_Hans: Stable Diffusion 是一个可以在本地部署的图片生成的工具。 - pt_BR: Stable Diffusion is a tool for generating images which can be deployed locally. - icon: icon.png - tags: - - image -credentials_for_provider: - base_url: - type: secret-input - required: true - label: - en_US: Base URL - zh_Hans: StableDiffusion服务器的Base URL - pt_BR: Base URL - placeholder: - en_US: Please input your StableDiffusion server's Base URL - zh_Hans: 请输入你的 StableDiffusion 服务器的 Base URL - pt_BR: Please input your StableDiffusion server's Base URL - model: - type: text-input - required: true - label: - en_US: Model - zh_Hans: 模型 - pt_BR: Model - placeholder: - en_US: Please input your model - zh_Hans: 请输入你的模型名称 - pt_BR: Please input your model - help: - en_US: The model name of the StableDiffusion server - zh_Hans: StableDiffusion服务器的模型名称 - pt_BR: The model name of the StableDiffusion server - url: https://docs.dify.ai/tutorials/tool-configuration/stable-diffusion diff --git a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py b/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py deleted file mode 100644 index 64fdc961b4c5db..00000000000000 --- a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.py +++ /dev/null @@ -1,390 +0,0 @@ -import io -import json -from base64 import b64decode, b64encode -from copy import deepcopy -from typing import Any, Union - -from httpx import get, post -from PIL import Image -from yarl import URL - -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolParameterOption -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - -# All commented out parameters default to null -DRAW_TEXT_OPTIONS = { - # Prompts - "prompt": "", - "negative_prompt": "", - # "styles": [], - # Seeds - "seed": -1, - "subseed": -1, - "subseed_strength": 0, - "seed_resize_from_h": -1, - "seed_resize_from_w": -1, - # Samplers - "sampler_name": "DPM++ 2M", - # "scheduler": "", - # "sampler_index": "Automatic", - # Latent Space Options - "batch_size": 1, - "n_iter": 1, - "steps": 10, - "cfg_scale": 7, - "width": 512, - "height": 512, - # "restore_faces": True, - # "tiling": True, - "do_not_save_samples": False, - "do_not_save_grid": False, - # "eta": 0, - # "denoising_strength": 0.75, - # "s_min_uncond": 0, - # "s_churn": 0, - # "s_tmax": 0, - # "s_tmin": 0, - # "s_noise": 0, - "override_settings": {}, - "override_settings_restore_afterwards": True, - # Refinement Options - "refiner_checkpoint": "", - "refiner_switch_at": 0, - "disable_extra_networks": False, - # "firstpass_image": "", - # "comments": "", - # High-Resolution Options - "enable_hr": False, - "firstphase_width": 0, - "firstphase_height": 0, - "hr_scale": 2, - # "hr_upscaler": "", - "hr_second_pass_steps": 0, - "hr_resize_x": 0, - "hr_resize_y": 0, - # "hr_checkpoint_name": "", - # "hr_sampler_name": "", - # "hr_scheduler": "", - "hr_prompt": "", - "hr_negative_prompt": "", - # Task Options - # "force_task_id": "", - # Script Options - # "script_name": "", - "script_args": [], - # Output Options - "send_images": True, - "save_images": False, - "alwayson_scripts": {}, - # "infotext": "", -} - - -class StableDiffusionTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # base url - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return self.create_text_message("Please input base_url") - - if tool_parameters.get("model"): - self.runtime.credentials["model"] = tool_parameters["model"] - - model = self.runtime.credentials.get("model", None) - if not model: - return self.create_text_message("Please input model") - - # set model - try: - url = str(URL(base_url) / "sdapi" / "v1" / "options") - response = post(url, data=json.dumps({"sd_model_checkpoint": model})) - if response.status_code != 200: - raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model") - except Exception as e: - raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model") - - # get image id and image variable - image_id = tool_parameters.get("image_id", "") - image_variable = self.get_default_image_variable() - # Return text2img if there's no image ID or no image variable - if not image_id or not image_variable: - return self.text2img(base_url=base_url, tool_parameters=tool_parameters) - - # Proceed with image-to-image generation - return self.img2img(base_url=base_url, tool_parameters=tool_parameters) - - def validate_models(self) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - validate models - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - raise ToolProviderCredentialValidationError("Please input base_url") - model = self.runtime.credentials.get("model", None) - if not model: - raise ToolProviderCredentialValidationError("Please input model") - - api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models") - response = get(url=api_url, timeout=10) - if response.status_code == 404: - # try draw a picture - self._invoke( - user_id="test", - tool_parameters={ - "prompt": "a cat", - "width": 1024, - "height": 1024, - "steps": 1, - "lora": "", - }, - ) - elif response.status_code != 200: - raise ToolProviderCredentialValidationError("Failed to get models") - else: - models = [d["model_name"] for d in response.json()] - if len([d for d in models if d == model]) > 0: - return self.create_text_message(json.dumps(models)) - else: - raise ToolProviderCredentialValidationError(f"model {model} does not exist") - except Exception as e: - raise ToolProviderCredentialValidationError(f"Failed to get models, {e}") - - def get_sd_models(self) -> list[str]: - """ - get sd models - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return [] - api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models") - response = get(url=api_url, timeout=(2, 10)) - if response.status_code != 200: - return [] - else: - return [d["model_name"] for d in response.json()] - except Exception as e: - return [] - - def get_sample_methods(self) -> list[str]: - """ - get sample method - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return [] - api_url = str(URL(base_url) / "sdapi" / "v1" / "samplers") - response = get(url=api_url, timeout=(2, 10)) - if response.status_code != 200: - return [] - else: - return [d["name"] for d in response.json()] - except Exception as e: - return [] - - def img2img( - self, base_url: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - generate image - """ - - # Fetch the binary data of the image - image_variable = self.get_default_image_variable() - image_binary = self.get_variable_file(image_variable.name) - if not image_binary: - return self.create_text_message("Image not found, please request user to generate image firstly.") - - # Convert image to RGB and save as PNG - try: - with Image.open(io.BytesIO(image_binary)) as image, io.BytesIO() as buffer: - image.convert("RGB").save(buffer, format="PNG") - image_binary = buffer.getvalue() - except Exception as e: - return self.create_text_message(f"Failed to process the image: {str(e)}") - - # copy draw options - draw_options = deepcopy(DRAW_TEXT_OPTIONS) - # set image options - model = tool_parameters.get("model", "") - draw_options_image = { - "init_images": [b64encode(image_binary).decode("utf-8")], - "denoising_strength": 0.9, - "restore_faces": False, - "script_args": [], - "override_settings": {"sd_model_checkpoint": model}, - "resize_mode": 0, - "image_cfg_scale": 0, - # "mask": None, - "mask_blur_x": 4, - "mask_blur_y": 4, - "mask_blur": 0, - "mask_round": True, - "inpainting_fill": 0, - "inpaint_full_res": True, - "inpaint_full_res_padding": 0, - "inpainting_mask_invert": 0, - "initial_noise_multiplier": 0, - # "latent_mask": None, - "include_init_images": True, - } - # update key and values - draw_options.update(draw_options_image) - draw_options.update(tool_parameters) - - # get prompt lora model - prompt = tool_parameters.get("prompt", "") - lora = tool_parameters.get("lora", "") - model = tool_parameters.get("model", "") - if lora: - draw_options["prompt"] = f"{lora},{prompt}" - else: - draw_options["prompt"] = prompt - - try: - url = str(URL(base_url) / "sdapi" / "v1" / "img2img") - response = post(url, data=json.dumps(draw_options), timeout=120) - if response.status_code != 200: - return self.create_text_message("Failed to generate image") - - image = response.json()["images"][0] - - return self.create_blob_message( - blob=b64decode(image), meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value - ) - - except Exception as e: - return self.create_text_message("Failed to generate image") - - def text2img( - self, base_url: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - generate image - """ - # copy draw options - draw_options = deepcopy(DRAW_TEXT_OPTIONS) - draw_options.update(tool_parameters) - # get prompt lora model - prompt = tool_parameters.get("prompt", "") - lora = tool_parameters.get("lora", "") - model = tool_parameters.get("model", "") - if lora: - draw_options["prompt"] = f"{lora},{prompt}" - else: - draw_options["prompt"] = prompt - draw_options["override_settings"]["sd_model_checkpoint"] = model - - try: - url = str(URL(base_url) / "sdapi" / "v1" / "txt2img") - response = post(url, data=json.dumps(draw_options), timeout=120) - if response.status_code != 200: - return self.create_text_message("Failed to generate image") - - image = response.json()["images"][0] - - return self.create_blob_message( - blob=b64decode(image), meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value - ) - - except Exception as e: - return self.create_text_message("Failed to generate image") - - def get_runtime_parameters(self) -> list[ToolParameter]: - parameters = [ - ToolParameter( - name="prompt", - label=I18nObject(en_US="Prompt", zh_Hans="Prompt"), - human_description=I18nObject( - en_US="Image prompt, you can check the official documentation of Stable Diffusion", - zh_Hans="图像提示词，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.STRING, - form=ToolParameter.ToolParameterForm.LLM, - llm_description="Image prompt of Stable Diffusion, you should describe the image you want to generate" - " as a list of words as possible as detailed, the prompt must be written in English.", - required=True, - ), - ] - if len(self.list_default_image_variables()) != 0: - parameters.append( - ToolParameter( - name="image_id", - label=I18nObject(en_US="image_id", zh_Hans="image_id"), - human_description=I18nObject( - en_US="Image id of the image you want to generate based on, if you want to generate image based" - " on the default image, you can leave this field empty.", - zh_Hans="您想要生成的图像的图像 ID，如果您想要基于默认图像生成图像，则可以将此字段留空。", - ), - type=ToolParameter.ToolParameterType.STRING, - form=ToolParameter.ToolParameterForm.LLM, - llm_description="Image id of the original image, you can leave this field empty if you want to" - " generate a new image.", - required=True, - options=[ - ToolParameterOption(value=i.name, label=I18nObject(en_US=i.name, zh_Hans=i.name)) - for i in self.list_default_image_variables() - ], - ) - ) - - if self.runtime.credentials: - try: - models = self.get_sd_models() - if len(models) != 0: - parameters.append( - ToolParameter( - name="model", - label=I18nObject(en_US="Model", zh_Hans="Model"), - human_description=I18nObject( - en_US="Model of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - zh_Hans="Stable Diffusion 的模型，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Model of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - required=True, - default=models[0], - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in models - ], - ) - ) - - except: - pass - - sample_methods = self.get_sample_methods() - if len(sample_methods) != 0: - parameters.append( - ToolParameter( - name="sampler_name", - label=I18nObject(en_US="Sampling method", zh_Hans="Sampling method"), - human_description=I18nObject( - en_US="Sampling method of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - zh_Hans="Stable Diffusion 的Sampling method，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Sampling method of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - required=True, - default=sample_methods[0], - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in sample_methods - ], - ) - ) - return parameters diff --git a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml b/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml deleted file mode 100644 index bbbdb16caf21bb..00000000000000 --- a/api/core/tools/provider/builtin/stablediffusion/tools/stable_diffusion.yaml +++ /dev/null @@ -1,104 +0,0 @@ -identity: - name: stable_diffusion - author: Dify - label: - en_US: Stable Diffusion WebUI - zh_Hans: Stable Diffusion WebUI - pt_BR: Stable Diffusion WebUI -description: - human: - en_US: A tool for generating images which can be deployed locally, you can use stable-diffusion-webui to deploy it. - zh_Hans: 一个可以在本地部署的图片生成的工具，您可以使用 stable-diffusion-webui 来部署它。 - pt_BR: A tool for generating images which can be deployed locally, you can use stable-diffusion-webui to deploy it. - llm: draw the image you want based on your prompt. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt, you can check the official documentation of Stable Diffusion - zh_Hans: 图像提示词，您可以查看 Stable Diffusion 的官方文档 - pt_BR: Image prompt, you can check the official documentation of Stable Diffusion - llm_description: Image prompt of Stable Diffusion, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English. - form: llm - - name: model - type: string - required: false - label: - en_US: Model Name - zh_Hans: 模型名称 - pt_BR: Model Name - human_description: - en_US: Model Name - zh_Hans: 模型名称 - pt_BR: Model Name - form: form - - name: lora - type: string - required: false - label: - en_US: Lora - zh_Hans: Lora - pt_BR: Lora - human_description: - en_US: Lora - zh_Hans: Lora - pt_BR: Lora - form: form - default: "" - - name: steps - type: number - required: false - label: - en_US: Steps - zh_Hans: Steps - pt_BR: Steps - human_description: - en_US: Steps - zh_Hans: Steps - pt_BR: Steps - form: form - default: 10 - - name: width - type: number - required: false - label: - en_US: Width - zh_Hans: Width - pt_BR: Width - human_description: - en_US: Width - zh_Hans: Width - pt_BR: Width - form: form - default: 1024 - - name: height - type: number - required: false - label: - en_US: Height - zh_Hans: Height - pt_BR: Height - human_description: - en_US: Height - zh_Hans: Height - pt_BR: Height - form: form - default: 1024 - - name: negative_prompt - type: string - required: false - label: - en_US: Negative prompt - zh_Hans: Negative prompt - pt_BR: Negative prompt - human_description: - en_US: Negative prompt - zh_Hans: Negative prompt - pt_BR: Negative prompt - form: form - default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines diff --git a/api/core/tools/provider/builtin/stackexchange/_assets/icon.svg b/api/core/tools/provider/builtin/stackexchange/_assets/icon.svg deleted file mode 100644 index 7042bc0e4156c9..00000000000000 --- a/api/core/tools/provider/builtin/stackexchange/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/stackexchange/stackexchange.py b/api/core/tools/provider/builtin/stackexchange/stackexchange.py deleted file mode 100644 index 9680c633cc701c..00000000000000 --- a/api/core/tools/provider/builtin/stackexchange/stackexchange.py +++ /dev/null @@ -1,25 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.stackexchange.tools.searchStackExQuestions import SearchStackExQuestionsTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class StackExchangeProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - SearchStackExQuestionsTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "intitle": "Test", - "sort": "relevance", - "order": "desc", - "site": "stackoverflow", - "accepted": True, - "pagesize": 1, - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml b/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml deleted file mode 100644 index d382a3cca9cef2..00000000000000 --- a/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml +++ /dev/null @@ -1,13 +0,0 @@ -identity: - author: Richards Tu - name: stackexchange - label: - en_US: Stack Exchange - zh_Hans: Stack Exchange - description: - en_US: Access questions and answers from the Stack Exchange and its sub-sites. - zh_Hans: 从 Stack Exchange 和其子论坛获取问题和答案。 - icon: icon.svg - tags: - - search - - utilities diff --git a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.py b/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.py deleted file mode 100644 index 534532009501f5..00000000000000 --- a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import Any, Union - -import requests -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class FetchAnsByStackExQuesIDInput(BaseModel): - id: int = Field(..., description="The question ID") - site: str = Field(..., description="The Stack Exchange site") - order: str = Field(..., description="asc or desc") - sort: str = Field(..., description="activity, votes, creation") - pagesize: int = Field(..., description="Number of answers per page") - page: int = Field(..., description="Page number") - - -class FetchAnsByStackExQuesIDTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - input = FetchAnsByStackExQuesIDInput(**tool_parameters) - - params = { - "site": input.site, - "filter": "!nNPvSNdWme", - "order": input.order, - "sort": input.sort, - "pagesize": input.pagesize, - "page": input.page, - } - - response = requests.get(f"https://api.stackexchange.com/2.3/questions/{input.id}/answers", params=params) - - if response.status_code == 200: - return self.create_text_message(self.summary(user_id=user_id, content=response.text)) - else: - return self.create_text_message(f"API request failed with status code {response.status_code}") diff --git a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.yaml b/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.yaml deleted file mode 100644 index d663bce6097441..00000000000000 --- a/api/core/tools/provider/builtin/stackexchange/tools/fetchAnsByStackExQuesID.yaml +++ /dev/null @@ -1,107 +0,0 @@ -identity: - name: fetchAnsByStackExQuesID - author: Richards Tu - label: - en_US: Fetch Stack Exchange Answers - zh_Hans: 获取 Stack Exchange 答案 -description: - human: - en_US: A tool for retrieving answers for a specific Stack Exchange question ID. Must be used with the searchStackExQuesID tool. - zh_Hans: 用于检索特定Stack Exchange问题ID的答案的工具。必须与searchStackExQuesID工具一起使用。 - llm: A tool for retrieving answers for Stack Exchange question ID. -parameters: - - name: id - type: string - required: true - label: - en_US: Question ID - zh_Hans: 问题ID - human_description: - en_US: The ID of the Stack Exchange question to fetch answers for. - zh_Hans: 要获取答案的Stack Exchange问题的ID。 - llm_description: The ID of the Stack Exchange question. - form: llm - - name: site - type: string - required: true - label: - en_US: Stack Exchange site - zh_Hans: Stack Exchange站点 - human_description: - en_US: The Stack Exchange site the question is from, e.g. stackoverflow, unix, etc. - zh_Hans: 问题所在的Stack Exchange站点，例如stackoverflow、unix等。 - llm_description: Stack Exchange site identifier - 'stackoverflow', 'serverfault', 'superuser', 'askubuntu', 'unix', 'cs', 'softwareengineering', 'codegolf', 'codereview', 'cstheory', 'security', 'cryptography', 'reverseengineering', 'datascience', 'devops', 'ux', 'dba', 'gis', 'webmasters', 'arduino', 'raspberrypi', 'networkengineering', 'iot', 'tor', 'sqa', 'mathoverflow', 'math', 'mathematica', 'dsp', 'gamedev', 'robotics', 'genai', 'computergraphics'. - form: llm - - name: filter - type: string - required: true - label: - en_US: Filter - zh_Hans: 过滤器 - human_description: - en_US: This is required in order to actually get the body of the answer. - zh_Hans: 为了实际获取答案的正文是必需的。 - options: - - value: "!nNPvSNdWme" - label: - en_US: Must Select - zh_Hans: 必须选择 - form: form - default: "!nNPvSNdWme" - - name: order - type: string - required: true - label: - en_US: Sort direction - zh_Hans: 排序方向 - human_description: - en_US: The direction to sort the answers - ascending or descending. - zh_Hans: 答案的排序方向 - 升序或降序。 - form: form - options: - - value: asc - label: - en_US: Ascending - zh_Hans: 升序 - - value: desc - label: - en_US: Descending - zh_Hans: 降序 - default: desc - - name: sort - type: string - required: true - label: - en_US: Sort order - zh_Hans: 排序 - human_description: - en_US: The sort order for the answers - activity, votes, or creation date. - zh_Hans: 答案的排序顺序 - 活动、投票或创建日期。 - llm_description: activity, votes, or creation. - form: llm - - name: pagesize - type: number - required: true - label: - en_US: Results per page - zh_Hans: 每页结果数 - human_description: - en_US: The number of answers to return per page. - zh_Hans: 每页返回的答案数。 - form: form - min: 1 - max: 5 - default: 1 - - name: page - type: number - required: true - label: - en_US: Page number - zh_Hans: 页码 - human_description: - en_US: The page number of answers to retrieve. - zh_Hans: 要检索的答案的页码。 - form: form - min: 1 - max: 5 - default: 3 diff --git a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.py b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.py deleted file mode 100644 index 4a25a808adf26a..00000000000000 --- a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.py +++ /dev/null @@ -1,45 +0,0 @@ -from typing import Any, Union - -import requests -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SearchStackExQuestionsInput(BaseModel): - intitle: str = Field(..., description="The search query.") - sort: str = Field(..., description="The sort order - relevance, activity, votes, creation.") - order: str = Field(..., description="asc or desc") - site: str = Field(..., description="The Stack Exchange site.") - tagged: str = Field(None, description="Semicolon-separated tags to include.") - nottagged: str = Field(None, description="Semicolon-separated tags to exclude.") - accepted: bool = Field(..., description="true for only accepted answers, false otherwise") - pagesize: int = Field(..., description="Number of results per page") - - -class SearchStackExQuestionsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - input = SearchStackExQuestionsInput(**tool_parameters) - - params = { - "intitle": input.intitle, - "sort": input.sort, - "order": input.order, - "site": input.site, - "accepted": input.accepted, - "pagesize": input.pagesize, - } - if input.tagged: - params["tagged"] = input.tagged - if input.nottagged: - params["nottagged"] = input.nottagged - - response = requests.get("https://api.stackexchange.com/2.3/search", params=params) - - if response.status_code == 200: - return self.create_text_message(self.summary(user_id=user_id, content=response.text)) - else: - return self.create_text_message(f"API request failed with status code {response.status_code}") diff --git a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml deleted file mode 100644 index bbfbae38b06e1a..00000000000000 --- a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml +++ /dev/null @@ -1,121 +0,0 @@ -identity: - name: searchStackExQuestions - author: Richards Tu - label: - en_US: Search Stack Exchange Questions - zh_Hans: 搜索Stack Exchange问题 -description: - human: - en_US: A tool for searching questions on a Stack Exchange site. - zh_Hans: 在Stack Exchange站点上搜索问题的工具。 - llm: A tool for searching questions on Stack Exchange site. -parameters: - - name: intitle - type: string - required: true - label: - en_US: Search query - zh_Hans: 搜索查询 - human_description: - en_US: The search query to use for finding questions. - zh_Hans: 用于查找问题的搜索查询。 - llm_description: The search query. - form: llm - - name: sort - type: string - required: true - label: - en_US: Sort order - zh_Hans: 排序 - human_description: - en_US: The sort order for the search results - relevance, activity, votes, or creation date. - zh_Hans: 搜索结果的排序顺序 - 相关性、活动、投票或创建日期。 - llm_description: The sort order - 'relevance', 'activity', 'votes', or 'creation'. - form: llm - - name: order - type: select - required: true - label: - en_US: Sort direction - zh_Hans: 排序方向 - human_description: - en_US: The direction to sort - ascending or descending. - zh_Hans: 排序方向 - 升序或降序。 - form: form - options: - - value: asc - label: - en_US: Ascending - zh_Hans: 升序 - - value: desc - label: - en_US: Descending - zh_Hans: 降序 - default: desc - - name: site - type: string - required: true - label: - en_US: Stack Exchange site - zh_Hans: Stack Exchange 站点 - human_description: - en_US: The Stack Exchange site to search, e.g. stackoverflow, unix, etc. - zh_Hans: 要搜索的Stack Exchange站点，例如stackoverflow、unix等。 - llm_description: Stack Exchange site identifier - 'stackoverflow', 'serverfault', 'superuser', 'askubuntu', 'unix', 'cs', 'softwareengineering', 'codegolf', 'codereview', 'cstheory', 'security', 'cryptography', 'reverseengineering', 'datascience', 'devops', 'ux', 'dba', 'gis', 'webmasters', 'arduino', 'raspberrypi', 'networkengineering', 'iot', 'tor', 'sqa', 'mathoverflow', 'math', 'mathematica', 'dsp', 'gamedev', 'robotics', 'genai', 'computergraphics'. - form: llm - - name: tagged - type: string - required: false - label: - en_US: Include tags - zh_Hans: 包含标签 - human_description: - en_US: A semicolon-separated list of tags that questions must have. - zh_Hans: 问题必须具有的标签的分号分隔列表。 - llm_description: Semicolon-separated tags to include. Leave blank if not needed. - form: llm - - name: nottagged - type: string - required: false - label: - en_US: Exclude tags - zh_Hans: 排除标签 - human_description: - en_US: A semicolon-separated list of tags to exclude from the search. - zh_Hans: 从搜索中排除的标签的分号分隔列表。 - llm_description: Semicolon-separated tags to exclude. Leave blank if not needed. - form: llm - - name: accepted - type: boolean - required: true - label: - en_US: Has accepted answer - zh_Hans: 有已接受的答案 - human_description: - en_US: Whether to limit to only questions that have an accepted answer. - zh_Hans: 是否限制为只有已接受答案的问题。 - form: form - options: - - value: 'true' - label: - en_US: 'Yes' - zh_Hans: 是 - - value: 'false' - label: - en_US: 'No' - zh_Hans: 否 - default: 'true' - - name: pagesize - type: number - required: true - label: - en_US: Results per page - zh_Hans: 每页结果数 - human_description: - en_US: The number of results to return per page. - zh_Hans: 每页返回的结果数。 - llm_description: The number of results per page. - form: form - min: 1 - max: 50 - default: 10 diff --git a/api/core/tools/provider/builtin/stepfun/__init__.py b/api/core/tools/provider/builtin/stepfun/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/tools/provider/builtin/stepfun/_assets/icon.png b/api/core/tools/provider/builtin/stepfun/_assets/icon.png deleted file mode 100644 index 85b96d0c74c24c2c28ccd0d363f02b35e359f561..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1991 zcmc&#Yfuwc6kdW9h^0hYTcvf}2HHlac@iLrMhHoeR01@h;sY>`1yV^iZZ?vD3M!(g z9aA4|@c~t-Xr+LIFs*jVIHfk!_j77|j*lXWU{tVH@N|PfTL=5McV_qAd*=JT^WA&S z?3Se@O%0-l(h&p+QY9!f)a>#;0lw6Gb7^J`HH{^e>0~ONP3CI}43Qad9fqn*+8j)S zX$_7At=MD)@nsp)(#dpnqC}6II9e};V>ekSHiAr!v0JqI`51}nupFaV%IrGW%tVa_ zDRX9|ny0qNv0P(90fD6!B&F#K=Ig}%(P9oiny(i`XKQsIq5_^kz~za!{3y0SAc=^S z2>Iy1U{VPQL$*Yth#yEt?WD|HlC(&;-2D7}PJRRjCvv!au~^LI3Ah3Qn?kUy4l}8> zv(479K?Mb7)e}YwX~fN_S5d3OZKRY*nSFi=lVwQOY#q2M>dv@!t%b|y@VuuQ1gh2l z4KaUo`iCvX$me`<+w7%$P0 zaS`!6xrove4)5hT*YHv=BIQfHa49ofZ*Bik>%kD!K;Gq0^HQ6k_Q%Xr&l6O0?|oDr zgdjc(QWDdY$ZUAp3-9ECa1r1;K)n{)J@DNrKye712e&%GF9SZX!sT{2aSfzP;l@4C zZw8+^u>UyJAA|4(;GYFC%VFATV3DwTKa|$PdjyD}-QD4CPdyVmrr7hS zo|WL&xasrLGj8v(`_Ng}*(-_N*OvNETt!=5%)FC@w_hg@A4+sz5IWAZJ!u**XvGEP zmks*fo`hEzXlya!LsNtrgqqGKyQ^^LC8fu?flkl^7{}Nw*L08b2>rnf)Q~$lrG0Lk zEHnA?#80!QhRbTl0-hLBb!J3}FRiMl^UK(f^=NV;8ZkY#!q#DXyj1V(Y<+#xt|FE! z%OUi9Pj~&;w{}|R35QKw`AsDwcyHL2mb%7b#K>~h&P4ZSF5TKguNvu!ac;}|ssdZH zP?kBS``)sQ6RzzNxf?3}s0gk8S$?27xaEfD`e+ZM!6q4SJ|f`Xi&1{FNCpw+-oe(l z%3KdCkGTuFf0Mbo3vjO6FOcR#dyy~@sgaeQ!@Ae3%u^oe3kjZ375BAftjD?Bm)4TO z$U0oz(D3$aGWuug=HsWM$1S@_0)yYh2qzU0;Q=F7NuA=l*z=c0&T?$P8|QZUKaM-E zJlgRlx@7!wZ%qFOCoek_I>vf9$z6DUea None: - try: - StepfunTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "prompt": "cute girl, blue eyes, white hair, anime style", - "size": "256x256", - "n": 1, - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/stepfun/stepfun.yaml b/api/core/tools/provider/builtin/stepfun/stepfun.yaml deleted file mode 100644 index e8139a4d7d6cfd..00000000000000 --- a/api/core/tools/provider/builtin/stepfun/stepfun.yaml +++ /dev/null @@ -1,33 +0,0 @@ -identity: - author: Stepfun - name: stepfun - label: - en_US: Image-1X - zh_Hans: 阶跃星辰绘画 - description: - en_US: Image-1X - zh_Hans: 阶跃星辰绘画 - icon: icon.png - tags: - - image - - productivity -credentials_for_provider: - stepfun_api_key: - type: secret-input - required: true - label: - en_US: Stepfun API key - zh_Hans: 阶跃星辰API key - placeholder: - en_US: Please input your Stepfun API key - zh_Hans: 请输入你的阶跃星辰 API key - url: https://platform.stepfun.com/interface-key - stepfun_base_url: - type: text-input - required: false - label: - en_US: Stepfun base URL - zh_Hans: 阶跃星辰 base URL - placeholder: - en_US: Please input your Stepfun base URL - zh_Hans: 请输入你的阶跃星辰 base URL diff --git a/api/core/tools/provider/builtin/stepfun/tools/image.py b/api/core/tools/provider/builtin/stepfun/tools/image.py deleted file mode 100644 index 61cc14fac6ca93..00000000000000 --- a/api/core/tools/provider/builtin/stepfun/tools/image.py +++ /dev/null @@ -1,66 +0,0 @@ -from typing import Any, Union - -from openai import OpenAI -from yarl import URL - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class StepfunTool(BuiltinTool): - """Stepfun Image Generation Tool""" - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - base_url = self.runtime.credentials.get("stepfun_base_url") or "https://api.stepfun.com" - base_url = str(URL(base_url) / "v1") - - client = OpenAI( - api_key=self.runtime.credentials["stepfun_api_key"], - base_url=base_url, - ) - - extra_body = {} - model = "step-1x-medium" - # prompt - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - if len(prompt) > 1024: - return self.create_text_message("The prompt length should less than 1024") - seed = tool_parameters.get("seed", 0) - if seed > 0: - extra_body["seed"] = seed - steps = tool_parameters.get("steps", 50) - if steps > 0: - extra_body["steps"] = steps - cfg_scale = tool_parameters.get("cfg_scale", 7.5) - if cfg_scale > 0: - extra_body["cfg_scale"] = cfg_scale - - # call openapi stepfun model - response = client.images.generate( - prompt=prompt, - model=model, - size=tool_parameters.get("size", "1024x1024"), - n=tool_parameters.get("n", 1), - extra_body=extra_body, - ) - - result = [] - for image in response.data: - result.append(self.create_image_message(image=image.url)) - result.append( - self.create_json_message( - { - "url": image.url, - } - ) - ) - return result diff --git a/api/core/tools/provider/builtin/stepfun/tools/image.yaml b/api/core/tools/provider/builtin/stepfun/tools/image.yaml deleted file mode 100644 index dfda6ed1914848..00000000000000 --- a/api/core/tools/provider/builtin/stepfun/tools/image.yaml +++ /dev/null @@ -1,133 +0,0 @@ -identity: - name: stepfun - author: Stepfun - label: - en_US: step-1x - zh_Hans: 阶跃星辰绘画 - pt_BR: step-1x - description: - en_US: step-1x is a powerful drawing tool by stepfun, you can draw the image based on your prompt - zh_Hans: step-1x 系列是阶跃星辰提供的强大的绘画工具，它可以根据您的提示词绘制出您想要的图像。 - pt_BR: step-1x is a powerful drawing tool by stepfun, you can draw the image based on your prompt -description: - human: - en_US: step-1x is a text to image tool - zh_Hans: step-1x 是一个文本/图像到图像的工具 - pt_BR: step-1x is a text to image tool - llm: step-1x is a tool used to generate images from text or image -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: Image prompt, you can check the official documentation of step-1x - zh_Hans: 图像提示词，您可以查看 step-1x 的官方文档 - pt_BR: Image prompt, you can check the official documentation of step-1x - llm_description: Image prompt of step-1x you should describe the image you want to generate as a list of words as possible as detailed - form: llm - - name: size - type: select - required: false - human_description: - en_US: The size of the generated image - zh_Hans: 生成的图片大小 - pt_BR: The size of the generated image - label: - en_US: Image size - zh_Hans: 图像大小 - pt_BR: Image size - form: form - options: - - value: 256x256 - label: - en_US: 256x256 - zh_Hans: 256x256 - pt_BR: 256x256 - - value: 512x512 - label: - en_US: 512x512 - zh_Hans: 512x512 - pt_BR: 512x512 - - value: 768x768 - label: - en_US: 768x768 - zh_Hans: 768x768 - pt_BR: 768x768 - - value: 1024x1024 - label: - en_US: 1024x1024 - zh_Hans: 1024x1024 - pt_BR: 1024x1024 - - value: 1280x800 - label: - en_US: 1280x800 - zh_Hans: 1280x800 - pt_BR: 1280x800 - - value: 800x1280 - label: - en_US: 800x1280 - zh_Hans: 800x1280 - pt_BR: 800x1280 - default: 1024x1024 - - name: n - type: number - required: true - human_description: - en_US: Number of generated images, now only one image can be generated at a time - zh_Hans: 生成的图像数量，当前仅支持每次生成一张图片 - pt_BR: Number of generated images, now only one image can be generated at a time - label: - en_US: Number of generated images - zh_Hans: 生成的图像数量 - pt_BR: Number of generated images - form: form - default: 1 - min: 1 - max: 1 - - name: seed - type: number - required: false - label: - en_US: seed - zh_Hans: seed - pt_BR: seed - human_description: - en_US: seed - zh_Hans: seed - pt_BR: seed - form: form - default: 10 - - name: steps - type: number - required: false - label: - en_US: Steps - zh_Hans: Steps - pt_BR: Steps - human_description: - en_US: Steps, now support integers between 1 and 100 - zh_Hans: Steps, 当前支持 1～100 之间整数 - 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-from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.tavily.tools.tavily_search import TavilySearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class TavilyProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - TavilySearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "query": "Sachin Tendulkar", - "search_depth": "basic", - "include_answer": True, - "include_images": False, - "include_raw_content": False, - "max_results": 5, - "include_domains": "", - "exclude_domains": "", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/tavily/tavily.yaml b/api/core/tools/provider/builtin/tavily/tavily.yaml deleted file mode 100644 index aba621b094e816..00000000000000 --- a/api/core/tools/provider/builtin/tavily/tavily.yaml +++ /dev/null @@ -1,26 +0,0 @@ -identity: - author: Yash Parmar, Kalo Chin - name: tavily - label: - en_US: Tavily Search & Extract - zh_Hans: Tavily 搜索和提取 - description: - en_US: A powerful AI-native search engine and web content extraction tool that provides highly relevant search results and raw content extraction from web pages. - zh_Hans: 一个强大的原生AI搜索引擎和网页内容提取工具，提供高度相关的搜索结果和网页原始内容提取。 - icon: icon.png - tags: - - search -credentials_for_provider: - tavily_api_key: - type: secret-input - required: true - label: - en_US: Tavily API key - zh_Hans: Tavily API key - placeholder: - en_US: Please input your Tavily API key - zh_Hans: 请输入你的 Tavily API key - help: - en_US: Get your Tavily API key from Tavily - zh_Hans: 从 TavilyApi 获取您的 Tavily API key - url: https://app.tavily.com/home diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.py b/api/core/tools/provider/builtin/tavily/tools/tavily_extract.py deleted file mode 100644 index a37548018d44ff..00000000000000 --- a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.py +++ /dev/null @@ -1,145 +0,0 @@ -from typing import Any - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -TAVILY_API_URL = "https://api.tavily.com" - - -class TavilyExtract: - """ - A class for extracting content from web pages using the Tavily Extract API. - - Args: - api_key (str): The API key for accessing the Tavily Extract API. - - Methods: - extract_content: Retrieves extracted content from the Tavily Extract API. - """ - - def __init__(self, api_key: str) -> None: - self.api_key = api_key - - def extract_content(self, params: dict[str, Any]) -> dict: - """ - Retrieves extracted content from the Tavily Extract API. - - Args: - params (Dict[str, Any]): The extraction parameters. - - Returns: - dict: The extracted content. - - """ - # Ensure required parameters are set - if "api_key" not in params: - params["api_key"] = self.api_key - - # Process parameters - processed_params = self._process_params(params) - - response = requests.post(f"{TAVILY_API_URL}/extract", json=processed_params) - response.raise_for_status() - return response.json() - - def _process_params(self, params: dict[str, Any]) -> dict: - """ - Processes and validates the extraction parameters. - - Args: - params (Dict[str, Any]): The extraction parameters. - - Returns: - dict: The processed parameters. - """ - processed_params = {} - - # Process 'urls' - if "urls" in params: - urls = params["urls"] - if isinstance(urls, str): - processed_params["urls"] = [url.strip() for url in urls.replace(",", " ").split()] - elif isinstance(urls, list): - processed_params["urls"] = urls - else: - raise ValueError("The 'urls' parameter is required.") - - # Only include 'api_key' - processed_params["api_key"] = params.get("api_key", self.api_key) - - return processed_params - - -class TavilyExtractTool(BuiltinTool): - """ - A tool for extracting content from web pages using Tavily Extract. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invokes the Tavily Extract tool with the given user ID and tool parameters. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (Dict[str, Any]): The parameters for the Tavily Extract tool. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the Tavily Extract tool invocation. - """ - urls = tool_parameters.get("urls", "") - api_key = self.runtime.credentials.get("tavily_api_key") - if not api_key: - return self.create_text_message( - "Tavily API key is missing. Please set the 'tavily_api_key' in credentials." - ) - if not urls: - return self.create_text_message("Please input at least one URL to extract.") - - tavily_extract = TavilyExtract(api_key) - try: - raw_results = tavily_extract.extract_content(tool_parameters) - except requests.HTTPError as e: - return self.create_text_message(f"Error occurred while extracting content: {str(e)}") - - if not raw_results.get("results"): - return self.create_text_message("No content could be extracted from the provided URLs.") - else: - # Always return JSON message with all data - json_message = self.create_json_message(raw_results) - - # Create text message based on user-selected parameters - text_message_content = self._format_results_as_text(raw_results) - text_message = self.create_text_message(text=text_message_content) - - return [json_message, text_message] - - def _format_results_as_text(self, raw_results: dict) -> str: - """ - Formats the raw extraction results into a markdown text based on user-selected parameters. - - Args: - raw_results (dict): The raw extraction results. - - Returns: - str: The formatted markdown text. - """ - output_lines = [] - - for idx, result in enumerate(raw_results.get("results", []), 1): - url = result.get("url", "") - raw_content = result.get("raw_content", "") - - output_lines.append(f"## Extracted Content {idx}: {url}\n") - output_lines.append(f"**Raw Content:**\n{raw_content}\n") - output_lines.append("---\n") - - if raw_results.get("failed_results"): - output_lines.append("## Failed URLs:\n") - for failed in raw_results["failed_results"]: - url = failed.get("url", "") - error = failed.get("error", "Unknown error") - output_lines.append(f"- {url}: {error}\n") - - return "\n".join(output_lines) diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.yaml b/api/core/tools/provider/builtin/tavily/tools/tavily_extract.yaml deleted file mode 100644 index a04da73b540f4d..00000000000000 --- a/api/core/tools/provider/builtin/tavily/tools/tavily_extract.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: tavily_extract - author: Kalo Chin - label: - en_US: Tavily Extract - zh_Hans: Tavily Extract -description: - human: - en_US: A web extraction tool built specifically for AI agents (LLMs), delivering raw content from web pages. - zh_Hans: 专为人工智能代理 (LLM) 构建的网页提取工具，提供网页的原始内容。 - llm: A tool for extracting raw content from web pages, designed for AI agents (LLMs). -parameters: - - name: urls - type: string - required: true - label: - en_US: URLs - zh_Hans: URLs - human_description: - en_US: A comma-separated list of URLs to extract content from. - zh_Hans: 要从中提取内容的 URL 的逗号分隔列表。 - llm_description: A comma-separated list of URLs to extract content from. - form: llm diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.py b/api/core/tools/provider/builtin/tavily/tools/tavily_search.py deleted file mode 100644 index ea41ea3ca3c61f..00000000000000 --- a/api/core/tools/provider/builtin/tavily/tools/tavily_search.py +++ /dev/null @@ -1,195 +0,0 @@ -from typing import Any - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -TAVILY_API_URL = "https://api.tavily.com" - - -class TavilySearch: - """ - A class for performing search operations using the Tavily Search API. - - Args: - api_key (str): The API key for accessing the Tavily Search API. - - Methods: - raw_results: Retrieves raw search results from the Tavily Search API. - """ - - def __init__(self, api_key: str) -> None: - self.api_key = api_key - - def raw_results(self, params: dict[str, Any]) -> dict: - """ - Retrieves raw search results from the Tavily Search API. - - Args: - params (Dict[str, Any]): The search parameters. - - Returns: - dict: The raw search results. - - """ - # Ensure required parameters are set - params["api_key"] = self.api_key - - # Process parameters to ensure correct types - processed_params = self._process_params(params) - - response = requests.post(f"{TAVILY_API_URL}/search", json=processed_params) - response.raise_for_status() - return response.json() - - def _process_params(self, params: dict[str, Any]) -> dict: - """ - Processes and validates the search parameters. - - Args: - params (Dict[str, Any]): The search parameters. - - Returns: - dict: The processed parameters. - """ - processed_params = {} - - for key, value in params.items(): - if value is None or value == "None": - continue - if key in ["include_domains", "exclude_domains"]: - if isinstance(value, str): - # Split the string by commas or spaces and strip whitespace - processed_params[key] = [domain.strip() for domain in value.replace(",", " ").split()] - elif key in ["include_images", "include_image_descriptions", "include_answer", "include_raw_content"]: - # Ensure boolean type - if isinstance(value, str): - processed_params[key] = value.lower() == "true" - else: - processed_params[key] = bool(value) - elif key in ["max_results", "days"]: - if isinstance(value, str): - processed_params[key] = int(value) - else: - processed_params[key] = value - elif key in ["search_depth", "topic", "query", "api_key"]: - processed_params[key] = value - else: - # Unrecognized parameter - pass - - # Set defaults if not present - processed_params.setdefault("search_depth", "basic") - processed_params.setdefault("topic", "general") - processed_params.setdefault("max_results", 5) - - # If topic is 'news', ensure 'days' is set - if processed_params.get("topic") == "news": - processed_params.setdefault("days", 3) - - return processed_params - - -class TavilySearchTool(BuiltinTool): - """ - A tool for searching Tavily using a given query. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invokes the Tavily search tool with the given user ID and tool parameters. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (Dict[str, Any]): The parameters for the Tavily search tool. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the Tavily search tool invocation. - """ - query = tool_parameters.get("query", "") - api_key = self.runtime.credentials.get("tavily_api_key") - if not api_key: - return self.create_text_message( - "Tavily API key is missing. Please set the 'tavily_api_key' in credentials." - ) - if not query: - return self.create_text_message("Please input a query.") - - tavily_search = TavilySearch(api_key) - try: - raw_results = tavily_search.raw_results(tool_parameters) - except requests.HTTPError as e: - return self.create_text_message(f"Error occurred while searching: {str(e)}") - - if not raw_results.get("results"): - return self.create_text_message(f"No results found for '{query}' in Tavily.") - else: - # Always return JSON message with all data - json_message = self.create_json_message(raw_results) - - # Create text message based on user-selected parameters - text_message_content = self._format_results_as_text(raw_results, tool_parameters) - text_message = self.create_text_message(text=text_message_content) - - return [json_message, text_message] - - def _format_results_as_text(self, raw_results: dict, tool_parameters: dict[str, Any]) -> str: - """ - Formats the raw results into a markdown text based on user-selected parameters. - - Args: - raw_results (dict): The raw search results. - tool_parameters (dict): The tool parameters selected by the user. - - Returns: - str: The formatted markdown text. - """ - output_lines = [] - - # Include answer if requested - if tool_parameters.get("include_answer", False) and raw_results.get("answer"): - output_lines.append(f"**Answer:** {raw_results['answer']}\n") - - # Include images if requested - if tool_parameters.get("include_images", False) and raw_results.get("images"): - output_lines.append("**Images:**\n") - for image in raw_results["images"]: - if tool_parameters.get("include_image_descriptions", False) and "description" in image: - output_lines.append(f"![{image['description']}]({image['url']})\n") - else: - output_lines.append(f"![]({image['url']})\n") - - # Process each result - if "results" in raw_results: - for idx, result in enumerate(raw_results["results"], 1): - title = result.get("title", "No Title") - url = result.get("url", "") - content = result.get("content", "") - published_date = result.get("published_date", "") - score = result.get("score", "") - - output_lines.append(f"### Result {idx}: [{title}]({url})\n") - - # Include published date if available and topic is 'news' - if tool_parameters.get("topic") == "news" and published_date: - output_lines.append(f"**Published Date:** {published_date}\n") - - output_lines.append(f"**URL:** {url}\n") - - # Include score (relevance) - if score: - output_lines.append(f"**Relevance Score:** {score}\n") - - # Include content - if content: - output_lines.append(f"**Content:**\n{content}\n") - - # Include raw content if requested - if tool_parameters.get("include_raw_content", False) and result.get("raw_content"): - output_lines.append(f"**Raw Content:**\n{result['raw_content']}\n") - - # Add a separator - output_lines.append("---\n") - - return "\n".join(output_lines) diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml deleted file mode 100644 index 14b2829701fe48..00000000000000 --- a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml +++ /dev/null @@ -1,152 +0,0 @@ -identity: - name: tavily_search - author: Yash Parmar - label: - en_US: Tavily Search - zh_Hans: Tavily Search -description: - human: - en_US: A search engine tool built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed. - zh_Hans: 专为人工智能代理 (LLM) 构建的搜索引擎工具，可快速提供实时、准确和真实的结果。 - llm: A tool for search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 查询 - human_description: - en_US: The search query you want to execute with Tavily. - zh_Hans: 您想用 Tavily 执行的搜索查询。 - llm_description: The search query. - form: llm - - name: search_depth - type: select - required: false - label: - en_US: Search Depth - zh_Hans: 搜索深度 - human_description: - en_US: The depth of the search. - zh_Hans: 搜索的深度。 - form: form - options: - - value: basic - label: - en_US: Basic - zh_Hans: 基本 - - value: advanced - label: - en_US: Advanced - zh_Hans: 高级 - default: basic - - name: topic - type: select - required: false - label: - en_US: Topic - zh_Hans: 主题 - human_description: - en_US: The category of the search. - zh_Hans: 搜索的类别。 - form: form - options: - - value: general - label: - en_US: General - zh_Hans: 一般 - - value: news - label: - en_US: News - zh_Hans: 新闻 - default: general - - name: days - type: number - required: false - label: - en_US: Days - zh_Hans: 天数 - human_description: - en_US: The number of days back from the current date to include in the search results (only applicable when "topic" is "news"). - zh_Hans: 从当前日期起向前追溯的天数，以包含在搜索结果中（仅当“topic”为“news”时适用）。 - form: form - min: 1 - default: 3 - - name: max_results - type: number - required: false - label: - en_US: Max Results - zh_Hans: 最大结果数 - human_description: - en_US: The maximum number of search results to return. - zh_Hans: 要返回的最大搜索结果数。 - form: form - min: 1 - max: 20 - default: 5 - - name: include_images - type: boolean - required: false - label: - en_US: Include Images - zh_Hans: 包含图片 - human_description: - en_US: Include a list of query-related images in the response. - zh_Hans: 在响应中包含与查询相关的图片列表。 - form: form - default: false - - name: include_image_descriptions - type: boolean - required: false - label: - en_US: Include Image Descriptions - zh_Hans: 包含图片描述 - human_description: - en_US: When include_images is True, adds descriptive text for each image. - zh_Hans: 当 include_images 为 True 时，为每个图像添加描述文本。 - form: form - default: false - - name: include_answer - type: boolean - required: false - label: - en_US: Include Answer - zh_Hans: 包含答案 - human_description: - en_US: Include a short answer to the original query in the response. - zh_Hans: 在响应中包含对原始查询的简短回答。 - form: form - default: false - - name: include_raw_content - type: boolean - required: false - label: - en_US: Include Raw Content - zh_Hans: 包含原始内容 - human_description: - en_US: Include the cleaned and parsed HTML content of each search result. - zh_Hans: 包含每个搜索结果的已清理和解析的HTML内容。 - form: form - default: false - - name: include_domains - type: string - required: false - label: - en_US: Include Domains - zh_Hans: 包含域 - human_description: - en_US: A comma-separated list of domains to specifically include in the search results. - zh_Hans: 要在搜索结果中特别包含的域的逗号分隔列表。 - form: form - - name: exclude_domains - type: string - required: false - label: - en_US: Exclude Domains - zh_Hans: 排除域 - human_description: - en_US: A comma-separated list of domains to specifically exclude from the search results. - zh_Hans: 要从搜索结果中特别排除的域的逗号分隔列表。 - form: form diff --git a/api/core/tools/provider/builtin/tianditu/_assets/icon.svg b/api/core/tools/provider/builtin/tianditu/_assets/icon.svg deleted file mode 100644 index 749d4bda265ab0..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/_assets/icon.svg +++ /dev/null @@ -1,21 +0,0 @@ - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/tianditu/tianditu.py b/api/core/tools/provider/builtin/tianditu/tianditu.py deleted file mode 100644 index cb7d7bd8bb2c41..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tianditu.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.tianditu.tools.poisearch import PoiSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class TiandituProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - PoiSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "content": "北京", - "specify": "156110000", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/tianditu/tianditu.yaml b/api/core/tools/provider/builtin/tianditu/tianditu.yaml deleted file mode 100644 index 77af834bdc5893..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tianditu.yaml +++ /dev/null @@ -1,32 +0,0 @@ -identity: - author: Listeng - name: tianditu - label: - en_US: Tianditu - zh_Hans: 天地图 - pt_BR: Tianditu - description: - en_US: The Tianditu tool provided the functions of place name search, geocoding, static maps generation, etc. in China region. - zh_Hans: 天地图工具可以调用天地图的接口，实现中国区域内的地名搜索、地理编码、静态地图等功能。 - pt_BR: The Tianditu tool provided the functions of place name search, geocoding, static maps generation, etc. in China region. - icon: icon.svg - tags: - - utilities - - travel -credentials_for_provider: - tianditu_api_key: - type: secret-input - required: true - label: - en_US: Tianditu API Key - zh_Hans: 天地图Key - pt_BR: Tianditu API key - placeholder: - en_US: Please input your Tianditu API key - zh_Hans: 请输入你的天地图Key - pt_BR: Please input your Tianditu API key - help: - en_US: Get your Tianditu API key from Tianditu - zh_Hans: 获取您的天地图Key - pt_BR: Get your Tianditu API key from Tianditu - url: http://lbs.tianditu.gov.cn/home.html diff --git a/api/core/tools/provider/builtin/tianditu/tools/geocoder.py b/api/core/tools/provider/builtin/tianditu/tools/geocoder.py deleted file mode 100644 index 690a0aed6f5aff..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tools/geocoder.py +++ /dev/null @@ -1,33 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GeocoderTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - base_url = "http://api.tianditu.gov.cn/geocoder" - - keyword = tool_parameters.get("keyword", "") - if not keyword: - return self.create_text_message("Invalid parameter keyword") - - tk = self.runtime.credentials["tianditu_api_key"] - - params = { - "keyWord": keyword, - } - - result = requests.get(base_url + "?ds=" + json.dumps(params, ensure_ascii=False) + "&tk=" + tk).json() - - return self.create_json_message(result) diff --git a/api/core/tools/provider/builtin/tianditu/tools/geocoder.yaml b/api/core/tools/provider/builtin/tianditu/tools/geocoder.yaml deleted file mode 100644 index d6a168f9502019..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tools/geocoder.yaml +++ /dev/null @@ -1,26 +0,0 @@ -identity: - name: geocoder - author: Listeng - label: - en_US: Get coords converted from address name - zh_Hans: 地理编码 - pt_BR: Get coords converted from address name -description: - human: - en_US: Geocoder - zh_Hans: 中国区域地理编码查询 - pt_BR: Geocoder - llm: A tool for geocoder in China -parameters: - - name: keyword - type: string - required: true - label: - en_US: keyword - zh_Hans: 搜索的关键字 - pt_BR: keyword - human_description: - en_US: keyword - zh_Hans: 搜索的关键字 - pt_BR: keyword - form: llm diff --git a/api/core/tools/provider/builtin/tianditu/tools/poisearch.py b/api/core/tools/provider/builtin/tianditu/tools/poisearch.py deleted file mode 100644 index 798dd94d335654..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tools/poisearch.py +++ /dev/null @@ -1,58 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class PoiSearchTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - geocoder_base_url = "http://api.tianditu.gov.cn/geocoder" - base_url = "http://api.tianditu.gov.cn/v2/search" - - keyword = tool_parameters.get("keyword", "") - if not keyword: - return self.create_text_message("Invalid parameter keyword") - - baseAddress = tool_parameters.get("baseAddress", "") - if not baseAddress: - return self.create_text_message("Invalid parameter baseAddress") - - tk = self.runtime.credentials["tianditu_api_key"] - - base_coords = requests.get( - geocoder_base_url - + "?ds=" - + json.dumps( - { - "keyWord": baseAddress, - }, - ensure_ascii=False, - ) - + "&tk=" - + tk - ).json() - - params = { - "keyWord": keyword, - "queryRadius": 5000, - "queryType": 3, - "pointLonlat": base_coords["location"]["lon"] + "," + base_coords["location"]["lat"], - "start": 0, - "count": 100, - } - - result = requests.get( - base_url + "?postStr=" + json.dumps(params, ensure_ascii=False) + "&type=query&tk=" + tk - ).json() - - return self.create_json_message(result) diff --git a/api/core/tools/provider/builtin/tianditu/tools/poisearch.yaml b/api/core/tools/provider/builtin/tianditu/tools/poisearch.yaml deleted file mode 100644 index 01289d24e3d29a..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tools/poisearch.yaml +++ /dev/null @@ -1,38 +0,0 @@ -identity: - name: point_of_interest_search - author: Listeng - label: - en_US: Point of Interest search - zh_Hans: 兴趣点搜索 - pt_BR: Point of Interest search -description: - human: - en_US: Search for certain types of points of interest around a location - zh_Hans: 搜索某个位置周边的5公里内某种类型的兴趣点 - pt_BR: Search for certain types of points of interest around a location - llm: A tool for searching for certain types of points of interest around a location -parameters: - - name: keyword - type: string - required: true - label: - en_US: poi keyword - zh_Hans: 兴趣点的关键字 - pt_BR: poi keyword - human_description: - en_US: poi keyword - zh_Hans: 兴趣点的关键字 - pt_BR: poi keyword - form: llm - - name: baseAddress - type: string - required: true - label: - en_US: base current point - zh_Hans: 当前位置的关键字 - pt_BR: base current point - human_description: - en_US: base current point - zh_Hans: 当前位置的关键字 - pt_BR: base current point - form: llm diff --git a/api/core/tools/provider/builtin/tianditu/tools/staticmap.py b/api/core/tools/provider/builtin/tianditu/tools/staticmap.py deleted file mode 100644 index aeaef088057686..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tools/staticmap.py +++ /dev/null @@ -1,49 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class PoiSearchTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - - geocoder_base_url = "http://api.tianditu.gov.cn/geocoder" - base_url = "http://api.tianditu.gov.cn/staticimage" - - keyword = tool_parameters.get("keyword", "") - if not keyword: - return self.create_text_message("Invalid parameter keyword") - - tk = self.runtime.credentials["tianditu_api_key"] - - keyword_coords = requests.get( - geocoder_base_url - + "?ds=" - + json.dumps( - { - "keyWord": keyword, - }, - ensure_ascii=False, - ) - + "&tk=" - + tk - ).json() - coords = keyword_coords["location"]["lon"] + "," + keyword_coords["location"]["lat"] - - result = requests.get( - base_url + "?center=" + coords + "&markers=" + coords + "&width=400&height=300&zoom=14&tk=" + tk - ).content - - return self.create_blob_message( - blob=result, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value - ) diff --git a/api/core/tools/provider/builtin/tianditu/tools/staticmap.yaml b/api/core/tools/provider/builtin/tianditu/tools/staticmap.yaml deleted file mode 100644 index fc54c428066af5..00000000000000 --- a/api/core/tools/provider/builtin/tianditu/tools/staticmap.yaml +++ /dev/null @@ -1,26 +0,0 @@ -identity: - name: generate_static_map - author: Listeng - label: - en_US: Generate a static map - zh_Hans: 生成静态地图 - pt_BR: Generate a static map -description: - human: - en_US: Generate a static map - zh_Hans: 生成静态地图 - pt_BR: Generate a static map - llm: A tool for generate a static map -parameters: - - name: keyword - type: string - required: true - label: - en_US: keyword - zh_Hans: 搜索的关键字 - pt_BR: keyword - human_description: - en_US: keyword - zh_Hans: 搜索的关键字 - pt_BR: keyword - form: llm diff --git a/api/core/tools/provider/builtin/time/time.py b/api/core/tools/provider/builtin/time/time.py deleted file mode 100644 index e4df8d616cba38..00000000000000 --- a/api/core/tools/provider/builtin/time/time.py +++ /dev/null @@ -1,16 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.time.tools.current_time import CurrentTimeTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class WikiPediaProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - CurrentTimeTool().invoke( - user_id="", - tool_parameters={}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/time/tools/current_time.py b/api/core/tools/provider/builtin/time/tools/current_time.py deleted file mode 100644 index 6464bb6602b60a..00000000000000 --- a/api/core/tools/provider/builtin/time/tools/current_time.py +++ /dev/null @@ -1,29 +0,0 @@ -from datetime import UTC, datetime -from typing import Any, Union - -from pytz import timezone as pytz_timezone - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class CurrentTimeTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # get timezone - tz = tool_parameters.get("timezone", "UTC") - fm = tool_parameters.get("format") or "%Y-%m-%d %H:%M:%S %Z" - if tz == "UTC": - return self.create_text_message(f"{datetime.now(UTC).strftime(fm)}") - - try: - tz = pytz_timezone(tz) - except: - return self.create_text_message(f"Invalid timezone: {tz}") - return self.create_text_message(f"{datetime.now(tz).strftime(fm)}") diff --git a/api/core/tools/provider/builtin/transcript/_assets/icon.svg b/api/core/tools/provider/builtin/transcript/_assets/icon.svg deleted file mode 100644 index 83b0700fecbf30..00000000000000 --- a/api/core/tools/provider/builtin/transcript/_assets/icon.svg +++ /dev/null @@ -1,11 +0,0 @@ - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/transcript/tools/transcript.py b/api/core/tools/provider/builtin/transcript/tools/transcript.py deleted file mode 100644 index ac7565d9eef5b8..00000000000000 --- a/api/core/tools/provider/builtin/transcript/tools/transcript.py +++ /dev/null @@ -1,81 +0,0 @@ -from typing import Any, Union -from urllib.parse import parse_qs, urlparse - -from youtube_transcript_api import YouTubeTranscriptApi # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class YouTubeTranscriptTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the YouTube transcript tool - """ - try: - # Extract parameters with defaults - video_input = tool_parameters["video_id"] - language = tool_parameters.get("language") - output_format = tool_parameters.get("format", "text") - preserve_formatting = tool_parameters.get("preserve_formatting", False) - proxy = tool_parameters.get("proxy") - cookies = tool_parameters.get("cookies") - - # Extract video ID from URL if needed - video_id = self._extract_video_id(video_input) - - # Common kwargs for API calls - kwargs = {"proxies": {"https": proxy} if proxy else None, "cookies": cookies} - - try: - if language: - transcript_list = YouTubeTranscriptApi.list_transcripts(video_id, **kwargs) - try: - transcript = transcript_list.find_transcript([language]) - except: - # If requested language not found, try translating from English - transcript = transcript_list.find_transcript(["en"]).translate(language) - transcript_data = transcript.fetch() - else: - transcript_data = YouTubeTranscriptApi.get_transcript( - video_id, preserve_formatting=preserve_formatting, **kwargs - ) - - # Format output - formatter_class = { - "json": "JSONFormatter", - "pretty": "PrettyPrintFormatter", - "srt": "SRTFormatter", - "vtt": "WebVTTFormatter", - }.get(output_format) - - if formatter_class: - from youtube_transcript_api import formatters - - formatter = getattr(formatters, formatter_class)() - formatted_transcript = formatter.format_transcript(transcript_data) - else: - formatted_transcript = " ".join(entry["text"] for entry in transcript_data) - - return self.create_text_message(text=formatted_transcript) - - except Exception as e: - return self.create_text_message(text=f"Error getting transcript: {str(e)}") - - except Exception as e: - return self.create_text_message(text=f"Error processing request: {str(e)}") - - def _extract_video_id(self, video_input: str) -> str: - """ - Extract video ID from URL or return as-is if already an ID - """ - if "youtube.com" in video_input or "youtu.be" in video_input: - # Parse URL - parsed_url = urlparse(video_input) - if "youtube.com" in parsed_url.netloc: - return parse_qs(parsed_url.query)["v"][0] - else: # youtu.be - return parsed_url.path[1:] - return video_input # Assume it's already a video ID diff --git a/api/core/tools/provider/builtin/transcript/tools/transcript.yaml b/api/core/tools/provider/builtin/transcript/tools/transcript.yaml deleted file mode 100644 index c654634a6c0be5..00000000000000 --- a/api/core/tools/provider/builtin/transcript/tools/transcript.yaml +++ /dev/null @@ -1,101 +0,0 @@ -identity: - name: free_youtube_transcript - author: Tao Wang - label: - en_US: Free YouTube Transcript API - zh_Hans: 免费获取 YouTube 转录 -description: - human: - en_US: Get transcript from a YouTube video for free. - zh_Hans: 免费获取 YouTube 视频的转录文案。 - llm: A tool for retrieving transcript from YouTube videos. -parameters: - - name: video_id - type: string - required: true - label: - en_US: Video ID/URL - zh_Hans: 视频ID - human_description: - en_US: Used to define the video from which the transcript will be fetched. You can find the id in the video url. For example - https://www.youtube.com/watch?v=video_id. - zh_Hans: 您要哪条视频的转录文案？您可以在视频链接中找到id。例如 - https://www.youtube.com/watch?v=video_id。 - llm_description: Used to define the video from which the transcript will be fetched. For example - https://www.youtube.com/watch?v=video_id. - form: llm - - name: language - type: string - required: false - label: - en_US: Language Code - zh_Hans: 语言 - human_description: - en_US: Language code (e.g. 'en', 'zh') for the transcript. - zh_Hans: 字幕语言代码（如'en'、'zh'）。留空则自动选择。 - llm_description: Used to set the language for transcripts. - form: form - - name: format - type: select - required: false - default: text - options: - - value: text - label: - en_US: Plain Text - zh_Hans: 纯文本 - - value: json - label: - en_US: JSON Format - zh_Hans: JSON 格式 - - value: pretty - label: - en_US: Pretty Print Format - zh_Hans: 美化格式 - - value: srt - label: - en_US: SRT Format - zh_Hans: SRT 格式 - - value: vtt - label: - en_US: WebVTT Format - zh_Hans: WebVTT 格式 - label: - en_US: Output Format - zh_Hans: 输出格式 - human_description: - en_US: Format of the transcript output - zh_Hans: 字幕输出格式 - llm_description: The format to output the transcript in. Options are text (plain text), json (raw transcript data), srt (SubRip format), or vtt (WebVTT format) - form: form - - name: preserve_formatting - type: boolean - required: false - default: false - label: - en_US: Preserve Formatting - zh_Hans: 保留格式 - human_description: - en_US: Keep HTML formatting elements like (italics) and (bold) - zh_Hans: 保留HTML格式元素，如（斜体）和（粗体） - llm_description: Whether to preserve HTML formatting elements in the transcript text - form: form - - name: proxy - type: string - required: false - label: - en_US: HTTPS Proxy - zh_Hans: HTTPS 代理 - human_description: - en_US: HTTPS proxy URL (e.g. https://user:pass@domain:port) - zh_Hans: HTTPS 代理地址（如 https://user:pass@domain:port） - llm_description: HTTPS proxy to use for the request. Format should be https://user:pass@domain:port - form: form - - name: cookies - type: string - required: false - label: - en_US: Cookies File Path - zh_Hans: Cookies 文件路径 - human_description: - en_US: Path to cookies.txt file for accessing age-restricted videos - zh_Hans: 用于访问年龄限制视频的 cookies.txt 文件路径 - llm_description: Path to a cookies.txt file containing YouTube cookies, needed for accessing age-restricted videos - form: form diff --git a/api/core/tools/provider/builtin/transcript/transcript.py b/api/core/tools/provider/builtin/transcript/transcript.py deleted file mode 100644 index 4fda1499882fe0..00000000000000 --- a/api/core/tools/provider/builtin/transcript/transcript.py +++ /dev/null @@ -1,11 +0,0 @@ -from typing import Any - -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class YouTubeTranscriptProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - """ - No credentials needed for YouTube Transcript API - """ - pass diff --git a/api/core/tools/provider/builtin/transcript/transcript.yaml b/api/core/tools/provider/builtin/transcript/transcript.yaml deleted file mode 100644 index 0786b454c35df3..00000000000000 --- a/api/core/tools/provider/builtin/transcript/transcript.yaml +++ /dev/null @@ -1,13 +0,0 @@ -identity: - author: Tao Wang - name: transcript - label: - en_US: Transcript - zh_Hans: Transcript - description: - en_US: Get transcripts from YouTube videos - zh_Hans: 获取 YouTube 视频的字幕/转录文本 - icon: icon.svg - tags: - - videos -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/trello/_assets/icon.svg b/api/core/tools/provider/builtin/trello/_assets/icon.svg deleted file mode 100644 index f8e2bd47c0b818..00000000000000 --- a/api/core/tools/provider/builtin/trello/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/trello/tools/create_board.py b/api/core/tools/provider/builtin/trello/tools/create_board.py deleted file mode 100644 index 5a61d221578995..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/create_board.py +++ /dev/null @@ -1,44 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class CreateBoardTool(BuiltinTool): - """ - Tool for creating a new Trello board. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to create a new Trello board. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_name = tool_parameters.get("name") - - if not (api_key and token and board_name): - return self.create_text_message("Missing required parameters: API key, token, or board name.") - - url = "https://api.trello.com/1/boards/" - query_params = {"name": board_name, "key": api_key, "token": token} - - try: - response = requests.post(url, params=query_params) - response.raise_for_status() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to create board") - - board = response.json() - return self.create_text_message( - text=f"Board created successfully! Board name: {board['name']}, ID: {board['id']}" - ) diff --git a/api/core/tools/provider/builtin/trello/tools/create_board.yaml b/api/core/tools/provider/builtin/trello/tools/create_board.yaml deleted file mode 100644 index 60dbab61f5ee5c..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/create_board.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: create_board - author: Yash Parmar - label: - en_US: Create Board - zh_Hans: 创建看板 - pt_BR: Criar Quadro -description: - human: - en_US: Creates a new Trello board with a specified name. This tool allows users to quickly add new boards to their Trello account, facilitating project organization and management. - zh_Hans: 使用指定的名称创建一个新的 Trello 看板。此工具允许用户快速向其 Trello 账户添加新的看板，促进项目组织和管理。 - pt_BR: Cria um novo quadro Trello com um nome especificado. Esta ferramenta permite que os usuários adicionem rapidamente novos quadros à sua conta Trello, facilitando a organização e gestão de projetos. - llm: Create a new Trello board using the specified name. This functionality simplifies the addition of boards, enhancing project organization and management within Trello. -parameters: - - name: name - type: string - required: true - label: - en_US: Board Name - zh_Hans: 看板名称 - pt_BR: Nome do Quadro - human_description: - en_US: The name for the new Trello board. This name helps in identifying and organizing your projects on Trello. - zh_Hans: 新 Trello 看板的名称。这个名称有助于在 Trello 上识别和组织您的项目。 - pt_BR: O nome para o novo quadro Trello. Este nome ajuda a identificar e organizar seus projetos no Trello. - llm_description: Specify the name for your new Trello board, aiding in project identification and organization within Trello. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.py b/api/core/tools/provider/builtin/trello/tools/create_list_on_board.py deleted file mode 100644 index b32b0124dd31da..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class CreateListOnBoardTool(BuiltinTool): - """ - Tool for creating a list on a Trello board by its ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to create a list on a Trello board by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the board ID and list name. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.get("id") - list_name = tool_parameters.get("name") - - if not (api_key and token and board_id and list_name): - return self.create_text_message("Missing required parameters: API key, token, board ID, or list name.") - - url = f"https://api.trello.com/1/boards/{board_id}/lists" - params = {"name": list_name, "key": api_key, "token": token} - - try: - response = requests.post(url, params=params) - response.raise_for_status() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to create list") - - new_list = response.json() - return self.create_text_message( - text=f"List '{new_list['name']}' created successfully with Id {new_list['id']} on board {board_id}." - ) diff --git a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.yaml b/api/core/tools/provider/builtin/trello/tools/create_list_on_board.yaml deleted file mode 100644 index 789b92437a3b3e..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/create_list_on_board.yaml +++ /dev/null @@ -1,40 +0,0 @@ -identity: - name: create_list_on_board - author: Yash Parmar - label: - en_US: Create List on Board - zh_Hans: 在看板上创建列表 - pt_BR: Criar Lista no Quadro -description: - human: - en_US: Creates a new list on a specified Trello board by providing the board's ID and the desired name for the list. Streamlines the process of organizing board content. - zh_Hans: 通过提供看板的 ID 和列表的所需名称，在指定的 Trello 看板上创建一个新列表。简化了组织看板内容的过程。 - pt_BR: Cria uma nova lista em um quadro Trello especificado, fornecendo o ID do quadro e o nome desejado para a lista. Facilita o processo de organização do conteúdo do quadro. - llm: Generate a new list within a Trello board by specifying the board's ID and a name for the list. Enhances board management by allowing quick additions of new lists. -parameters: - - name: id - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier of the Trello board where the new list will be created. - zh_Hans: 新列表将被创建在其上的 Trello 看板的唯一标识符。 - pt_BR: O identificador único do quadro Trello onde a nova lista será criada. - llm_description: Input the ID of the Trello board to pinpoint where the new list should be added, ensuring correct placement. - form: llm - - name: name - type: string - required: true - label: - en_US: List Name - zh_Hans: 列表名称 - pt_BR: Nome da Lista - human_description: - en_US: The name for the new list to be created on the Trello board. - zh_Hans: 将在 Trello 看板上创建的新列表的名称。 - pt_BR: O nome para a nova lista que será criada no quadro Trello. - llm_description: Provide a name for the new list, defining its purpose or content focus, to facilitate board organization. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.py b/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.py deleted file mode 100644 index e98efb81ca673e..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.py +++ /dev/null @@ -1,45 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class CreateNewCardOnBoardTool(BuiltinTool): - """ - Tool for creating a new card on a Trello board. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool, None]]) -> ToolInvokeMessage: - """ - Invoke the tool to create a new card on a Trello board. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool, None]]): The parameters for the tool invocation, - including details for the new card. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - - # Ensure required parameters are present - if "name" not in tool_parameters or "idList" not in tool_parameters: - return self.create_text_message("Missing required parameters: name or idList.") - - url = "https://api.trello.com/1/cards" - params = {**tool_parameters, "key": api_key, "token": token} - - try: - response = requests.post(url, params=params) - response.raise_for_status() - new_card = response.json() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to create card") - - return self.create_text_message( - text=f"New card '{new_card['name']}' created successfully with ID {new_card['id']}." - ) diff --git a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.yaml b/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.yaml deleted file mode 100644 index 9953af718ddd58..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/create_new_card_on_board.yaml +++ /dev/null @@ -1,145 +0,0 @@ -identity: - name: create_new_card_on_board - author: Yash Parmar - label: - en_US: Create New Card on Board - zh_Hans: 在看板上创建新卡片 - pt_BR: Criar Novo Cartão no Quadro -description: - human: - en_US: Creates a new card on a Trello board with specified details like name, description, list ID, and other optional parameters. Facilitates task addition and project management within Trello. - zh_Hans: 用指定的详情（如名称、描述、列表 ID 和其他可选参数）在 Trello 看板上创建一个新卡片。便于在 Trello 中添加任务和管理项目。 - pt_BR: Cria um novo cartão em um quadro Trello com detalhes especificados, como nome, descrição, ID da lista e outros parâmetros opcionais. Facilita a adição de tarefas e a gestão de projetos dentro do Trello. - llm: Initiate a new card on a Trello board by specifying essential details such as the card's name, description, and the list it belongs to, among other settings. Streamlines project task additions and organizational workflows. -parameters: - - name: name - type: string - required: true - label: - en_US: Card Name - zh_Hans: 卡片名称 - pt_BR: Nome do Cartão - human_description: - en_US: The name for the new card. Acts as the primary identifier and summary of the card's purpose. - zh_Hans: 新卡片的名称。作为卡片目的的主要标识和总结。 - pt_BR: O nome para o novo cartão. Funciona como o identificador principal e resumo do propósito do cartão. - llm_description: Provide a concise, descriptive name for the card, outlining its main focus or task. - form: llm - # Include additional parameters like desc, pos, due, idList, etc., following the same pattern. - - name: desc - type: string - required: false - label: - en_US: Card Description - zh_Hans: 卡片描述 - pt_BR: Descrição do Cartão - human_description: - en_US: Optional. A brief description of the card's purpose or contents. - zh_Hans: 可选。卡片目的或内容的简要描述。 - pt_BR: Opcional. Uma breve descrição do propósito ou conteúdo do cartão. - llm_description: Add a brief description to the card to provide context or additional information about its purpose. - form: llm - - name: pos - type: string - required: false - label: - en_US: Position - zh_Hans: 位置 - pt_BR: Posição - human_description: - en_US: Optional. The position of the card in the list. Can be 'top', 'bottom', or a positive number. - zh_Hans: 可选。卡片在列表中的位置。可以是“top”、“bottom” 或正数。 - pt_BR: Opcional. A posição do cartão na lista. Pode ser 'top', 'bottom' ou um número positivo. - llm_description: Specify the position of the card within the list, either at the top, bottom, or a specific numerical index. - form: llm - - name: due - type: string - required: false - label: - en_US: Due Date - zh_Hans: 截止日期 - pt_BR: Data de Vencimento - human_description: - en_US: Optional. The due date for the card in the format 'MM/DD/YYYY'. - zh_Hans: 可选。卡片的截止日期，格式为“MM/DD/YYYY”。 - pt_BR: Opcional. A data de vencimento do cartão no formato 'MM/DD/YYYY'. - llm_description: Set a due date for the card to establish a deadline for completion or action. - form: llm - - name: start - type: string - required: false - label: - en_US: Start Date - zh_Hans: 开始日期 - pt_BR: Data de Início - human_description: - en_US: Optional. The start date for the card in the format 'MM/DD/YYYY'. - zh_Hans: 可选。卡片的开始日期，格式为“MM/DD/YYYY”。 - pt_BR: Opcional. A data de início do cartão no formato 'MM/DD/YYYY'. - llm_description: Specify a start date for the card to mark the beginning of a task or project phase. - form: llm - - name: dueComplete - type: boolean - required: false - label: - en_US: Due Complete - zh_Hans: 截止日期已完成 - pt_BR: Vencimento Concluído - human_description: - en_US: Optional. Set to true if the due date has been completed, or false if it is pending. - zh_Hans: 可选。如果截止日期已完成，则设置为 true；如果尚未完成，则设置为 false。 - pt_BR: Opcional. Defina como true se a data de vencimento foi concluída, ou como false se estiver pendente. - llm_description: Indicate whether the due date for the card has been marked as complete or is still pending. - form: llm - - name: idList - type: string - required: true - label: - en_US: List ID - zh_Hans: 列表 ID - pt_BR: ID da Lista - human_description: - en_US: The unique identifier of the list where the card will be added. - zh_Hans: 卡片将被添加到的列表的唯一标识符。 - pt_BR: O identificador único da lista onde o cartão será adicionado. - llm_description: Input the ID of the list where the card should be placed, ensuring it is added to the correct list. - form: llm - - name: idMembers - type: string - required: false - label: - en_US: Member IDs - zh_Hans: 成员 ID - pt_BR: IDs de Membros - human_description: - en_US: Optional. The IDs of members to assign to the card. - zh_Hans: 可选。要分配给卡片的成员的 ID。 - pt_BR: Opcional. Os IDs dos membros a serem atribuídos ao cartão. - llm_description: Specify the IDs of members to assign to the card, allowing for task delegation or collaboration. - form: llm - - name: idLabels - type: string - required: false - label: - en_US: Label IDs - zh_Hans: 标签 ID - pt_BR: IDs de Etiquetas - human_description: - en_US: Optional. The IDs of labels to assign to the card. - zh_Hans: 可选。要分配给卡片的标签的 ID。 - pt_BR: Opcional. Os IDs das etiquetas a serem atribuídos ao cartão. - llm_description: Assign specific labels to the card by providing their IDs, aiding in visual categorization or prioritization. - form: llm - - name: urlSource - type: string - required: false - label: - en_US: Source URL - zh_Hans: 来源 URL - pt_BR: URL de Origem - human_description: - en_US: Optional. The URL to attach as the card's source. - zh_Hans: 可选。要附加为卡片来源的 URL。 - pt_BR: Opcional. O URL a ser anexado como a fonte do cartão. - llm_description: Provide a URL to serve as the source reference for the card, linking to external resources or documents. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/delete_board.py b/api/core/tools/provider/builtin/trello/tools/delete_board.py deleted file mode 100644 index 7fc9d1f13c2664..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/delete_board.py +++ /dev/null @@ -1,41 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DeleteBoardTool(BuiltinTool): - """ - Tool for deleting a Trello board by ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to delete a Trello board by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the board ID. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.get("boardId") - - if not (api_key and token and board_id): - return self.create_text_message("Missing required parameters: API key, token, or board ID.") - - url = f"https://api.trello.com/1/boards/{board_id}?key={api_key}&token={token}" - - try: - response = requests.delete(url) - response.raise_for_status() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to delete board") - - return self.create_text_message(text=f"Board with ID {board_id} deleted successfully.") diff --git a/api/core/tools/provider/builtin/trello/tools/delete_board.yaml b/api/core/tools/provider/builtin/trello/tools/delete_board.yaml deleted file mode 100644 index f043e78870d062..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/delete_board.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: delete_board - author: Yash Parmar - label: - en_US: Delete Board - zh_Hans: 删除看板 - pt_BR: Excluir Quadro -description: - human: - en_US: Deletes a Trello board using its unique ID. This tool allows for the removal of boards that are no longer needed, ensuring a tidy workspace. - zh_Hans: 使用其唯一 ID 删除 Trello 看板。此工具允许删除不再需要的看板，确保工作区整洁。 - pt_BR: Exclui um quadro Trello usando seu ID único. Esta ferramenta permite a remoção de quadros que não são mais necessários, garantindo um espaço de trabalho organizado. - llm: Remove a Trello board by specifying its ID. This functionality is helpful for cleaning up unnecessary boards from your Trello account. -parameters: - - name: boardId - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier for the Trello board you wish to delete. This ensures the specific board is accurately targeted for deletion. - zh_Hans: 您希望删除的 Trello 看板的唯一标识符。这确保了准确地针对特定看板进行删除。 - pt_BR: O identificador único para o quadro Trello que você deseja excluir. Isso garante que o quadro específico seja precisamente direcionado para exclusão. - llm_description: Enter the ID of the Trello board you want to remove. This ID is essential to identify the board precisely and perform the deletion. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/delete_card.py b/api/core/tools/provider/builtin/trello/tools/delete_card.py deleted file mode 100644 index 1de98d639ebb7d..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/delete_card.py +++ /dev/null @@ -1,41 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DeleteCardByIdTool(BuiltinTool): - """ - Tool for deleting a Trello card by its ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to delete a Trello card by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the card ID. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - card_id = tool_parameters.get("id") - - if not (api_key and token and card_id): - return self.create_text_message("Missing required parameters: API key, token, or card ID.") - - url = f"https://api.trello.com/1/cards/{card_id}?key={api_key}&token={token}" - - try: - response = requests.delete(url) - response.raise_for_status() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to delete card") - - return self.create_text_message(text=f"Card with ID {card_id} has been successfully deleted.") diff --git a/api/core/tools/provider/builtin/trello/tools/delete_card.yaml b/api/core/tools/provider/builtin/trello/tools/delete_card.yaml deleted file mode 100644 index 8898ef1bde3680..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/delete_card.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: delete_card_by_id - author: Yash Parmar - label: - en_US: Delete Card by ID - zh_Hans: 通过 ID 删除卡片 - pt_BR: Deletar Cartão por ID -description: - human: - en_US: Deletes a Trello card using its unique ID. This tool facilitates the removal of cards that are no longer needed, maintaining an organized board. - zh_Hans: 使用其唯一 ID 删除 Trello 卡片。此工具便于删除不再需要的卡片，保持看板的有序。 - pt_BR: Exclui um cartão Trello usando seu ID único. Esta ferramenta facilita a remoção de cartões que não são mais necessários, mantendo um quadro organizado. - llm: Remove a specific Trello card by providing its ID. Ideal for cleaning up and organizing your Trello boards by eliminating unwanted cards. -parameters: - - name: id - type: string - required: true - label: - en_US: Card ID - zh_Hans: 卡片 ID - pt_BR: ID do Cartão - human_description: - en_US: The unique identifier of the Trello card you wish to delete. This ensures the precise card is removed. - zh_Hans: 您希望删除的 Trello 卡片的唯一标识符。这确保了精确移除特定卡片。 - pt_BR: O identificador único do cartão Trello que você deseja excluir. Isso garante que o cartão exato seja removido. - llm_description: Input the ID of the Trello card targeted for deletion to ensure accurate and specific removal. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.py b/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.py deleted file mode 100644 index 0c5ed9ea8533ff..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.py +++ /dev/null @@ -1,50 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class FetchAllBoardsTool(BuiltinTool): - """ - Tool for fetching all boards from Trello. - """ - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the fetch all boards tool. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation. - - Returns: - Union[ToolInvokeMessage, List[ToolInvokeMessage]]: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - - if not (api_key and token): - return self.create_text_message("Missing Trello API key or token in credentials.") - - # Including board filter in the request if provided - board_filter = tool_parameters.get("boards", "open") - url = f"https://api.trello.com/1/members/me/boards?filter={board_filter}&key={api_key}&token={token}" - - try: - response = requests.get(url) - response.raise_for_status() # Raises stored HTTPError, if one occurred. - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to fetch boards") - - boards = response.json() - - if not boards: - return self.create_text_message("No boards found in Trello.") - - # Creating a string with both board names and IDs - boards_info = ", ".join([f"{board['name']} (ID: {board['id']})" for board in boards]) - return self.create_text_message(text=f"Boards: {boards_info}") diff --git a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.yaml b/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.yaml deleted file mode 100644 index d0ac4beaaa723a..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/fetch_all_boards.yaml +++ /dev/null @@ -1,28 +0,0 @@ -identity: - name: fetch_all_boards - author: Yash Parmar - label: - en_US: Fetch All Boards - zh_Hans: 获取所有看板 - pt_BR: Buscar Todos os Quadros -description: - human: - en_US: Retrieves all the Trello boards associated with the user's account. This tool provides a quick overview of all open boards, aiding in efficient project management and organization. - zh_Hans: 检索与用户账户关联的所有 Trello 看板。该工具提供了所有打开的看板的快速概览，有助于高效的项目管理和组织。 - pt_BR: Recupera todos os quadros do Trello associados à conta do usuário. Esta ferramenta oferece uma visão geral rápida de todos os quadros abertos, auxiliando na gestão e organização eficiente do projeto. - llm: This tool fetches all Trello boards linked to the user's account, offering a swift snapshot of open boards to streamline project management and organization tasks. -parameters: - - name: boards - type: string - required: false - default: open - label: - en_US: Boards filter - zh_Hans: 看板过滤器 - pt_BR: Filtro de quadros - human_description: - en_US: Specifies the type of boards to retrieve. Default is 'open', fetching all open boards. Other options include 'closed', 'members', 'organization', etc. - zh_Hans: 指定要检索的看板类型。默认为“open”，获取所有打开的看板。其他选项包括“closed”，“members”，“organization”等。 - pt_BR: Especifica o tipo de quadros a serem recuperados. O padrão é 'open', buscando todos os quadros abertos. Outras opções incluem 'closed', 'members', 'organization', etc. - llm_description: Determines the category of boards to be displayed, with 'open' as the default setting to show all open boards. Variants like 'closed', 'members', and 'organization' are also selectable. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_actions.py b/api/core/tools/provider/builtin/trello/tools/get_board_actions.py deleted file mode 100644 index cabc7ce09359d5..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_board_actions.py +++ /dev/null @@ -1,45 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GetBoardActionsTool(BuiltinTool): - """ - Tool for retrieving actions for a Trello board by its ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to retrieve actions for a Trello board by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the board ID. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.get("boardId") - - if not (api_key and token and board_id): - return self.create_text_message("Missing required parameters: API key, token, or board ID.") - - url = f"https://api.trello.com/1/boards/{board_id}/actions?key={api_key}&token={token}" - - try: - response = requests.get(url) - response.raise_for_status() - actions = response.json() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to retrieve board actions") - - actions_summary = "\n".join( - [f"{action['type']}: {action.get('data', {}).get('text', 'No details available')}" for action in actions] - ) - return self.create_text_message(text=f"Actions for Board ID {board_id}:\n{actions_summary}") diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_actions.yaml b/api/core/tools/provider/builtin/trello/tools/get_board_actions.yaml deleted file mode 100644 index 1ba89f9e44abbd..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_board_actions.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: get_board_actions - author: Yash Parmar - label: - en_US: Get Board Actions - zh_Hans: 获取看板操作 - pt_BR: Obter Ações do Quadro -description: - human: - en_US: Retrieves a list of actions (such as updates, movements, and comments) for a Trello board by its ID. This tool provides insights into the board's activity history. - zh_Hans: 通过其 ID 为 Trello 看板检索操作列表（如更新、移动和评论）。此工具提供了看板活动历史的见解。 - pt_BR: Recupera uma lista de ações (como atualizações, movimentos e comentários) para um quadro Trello pelo seu ID. Esta ferramenta oferece insights sobre o histórico de atividades do quadro. - llm: Fetch the sequence of actions performed on a Trello board, such as card updates, movements, and comments, by providing the board's ID. Offers a historical view of board activities. -parameters: - - name: boardId - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier of the Trello board for which you want to retrieve actions. It targets the specific board to fetch its activity log. - zh_Hans: 您想要检索操作的 Trello 看板的唯一标识符。它定位特定的看板以获取其活动日志。 - pt_BR: O identificador único do quadro Trello para o qual você deseja recuperar ações. Direciona especificamente para o quadro para buscar seu registro de atividades. - llm_description: Input the ID of the Trello board to access its detailed action history, including all updates, comments, and movements related to the board. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.py b/api/core/tools/provider/builtin/trello/tools/get_board_by_id.py deleted file mode 100644 index fe42cd9c5cbf86..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.py +++ /dev/null @@ -1,66 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GetBoardByIdTool(BuiltinTool): - """ - Tool for retrieving detailed information about a Trello board by its ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to retrieve a Trello board by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the board ID. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.get("boardId") - - if not (api_key and token and board_id): - return self.create_text_message("Missing required parameters: API key, token, or board ID.") - - url = f"https://api.trello.com/1/boards/{board_id}?key={api_key}&token={token}" - - try: - response = requests.get(url) - response.raise_for_status() - board = response.json() - board_details = self.format_board_details(board) - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to retrieve board") - - return self.create_text_message(text=board_details) - - def format_board_details(self, board: dict) -> str: - """ - Format the board details into a human-readable string. - - Args: - board (dict): The board information as a dictionary. - - Returns: - str: Formatted board details. - """ - details = ( - f"Board Name: {board['name']}\n" - f"Board ID: {board['id']}\n" - f"Description: {board['desc'] or 'No description provided.'}\n" - f"Status: {'Closed' if board['closed'] else 'Open'}\n" - f"Organization ID: {board['idOrganization'] or 'Not part of an organization.'}\n" - f"URL: {board['url']}\n" - f"Short URL: {board['shortUrl']}\n" - f"Permission Level: {board['prefs']['permissionLevel']}\n" - f"Background Color: {board['prefs']['backgroundColor']}" - ) - return details diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.yaml b/api/core/tools/provider/builtin/trello/tools/get_board_by_id.yaml deleted file mode 100644 index 45c93006ba4414..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_board_by_id.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: get_board_by_id - author: Yash Parmar - label: - en_US: Get Board by ID - zh_Hans: 通过 ID 获取看板 - pt_BR: Obter Quadro por ID -description: - human: - en_US: Retrieves detailed information about a specific Trello board using its unique ID. This tool enables users to quickly access board details without navigating through the Trello interface. - zh_Hans: 使用其唯一 ID 检索有关特定 Trello 看板的详细信息。此工具使用户能够快速访问看板详情，无需通过 Trello 界面导航。 - pt_BR: Recupera informações detalhadas sobre um quadro Trello específico usando seu ID único. Esta ferramenta permite que os usuários acessem rapidamente os detalhes do quadro sem navegar pela interface do Trello. - llm: Access details of a Trello board by providing its ID. This tool offers a direct way to view board information, simplifying the process of managing and reviewing Trello boards. -parameters: - - name: boardId - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier for the Trello board you wish to retrieve. This ID enables precise targeting and fetching of the board's details. - zh_Hans: 您希望检索的 Trello 看板的唯一标识符。此 ID 使能够准确定位和获取看板的详细信息。 - pt_BR: O identificador único do quadro Trello que você deseja recuperar. Este ID permite o direcionamento preciso e a obtenção dos detalhes do quadro. - llm_description: Input the ID of the Trello board to get its details. This unique ID ensures accurate retrieval of information about the specified board. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_cards.py b/api/core/tools/provider/builtin/trello/tools/get_board_cards.py deleted file mode 100644 index ff2b1221e767de..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_board_cards.py +++ /dev/null @@ -1,43 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GetBoardCardsTool(BuiltinTool): - """ - Tool for retrieving cards on a Trello board by its ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to retrieve cards on a Trello board by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the board ID. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.get("boardId") - - if not (api_key and token and board_id): - return self.create_text_message("Missing required parameters: API key, token, or board ID.") - - url = f"https://api.trello.com/1/boards/{board_id}/cards?key={api_key}&token={token}" - - try: - response = requests.get(url) - response.raise_for_status() - cards = response.json() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to retrieve board cards") - - cards_summary = "\n".join([f"{card['name']} (ID: {card['id']})" for card in cards]) - return self.create_text_message(text=f"Cards for Board ID {board_id}:\n{cards_summary}") diff --git a/api/core/tools/provider/builtin/trello/tools/get_board_cards.yaml b/api/core/tools/provider/builtin/trello/tools/get_board_cards.yaml deleted file mode 100644 index 852ea278af341c..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_board_cards.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: get_board_cards - author: Yash Parmar - label: - en_US: Get Board Cards - zh_Hans: 获取看板卡片 - pt_BR: Obter Cartões do Quadro -description: - human: - en_US: Retrieves all cards present on a specific Trello board by its ID, providing a list of card names and their IDs. Useful for managing and organizing project tasks. - zh_Hans: 通过其 ID 检索特定 Trello 看板上的所有卡片，提供卡片名称及其 ID 的列表。用于管理和组织项目任务。 - pt_BR: Recupera todos os cartões presentes em um quadro Trello específico pelo seu ID, fornecendo uma lista dos nomes dos cartões e seus IDs. Útil para gerenciar e organizar tarefas de projetos. - llm: Obtain a list of all cards on a specific Trello board by entering the board's ID. This tool helps in quickly assessing the tasks or items associated with the board. -parameters: - - name: boardId - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier of the Trello board from which you want to retrieve cards. It specifies the exact board to gather card details from. - zh_Hans: 您想要从中检索卡片的 Trello 看板的唯一标识符。它指定了要从中收集卡片详细信息的确切看板。 - pt_BR: O identificador único do quadro Trello do qual você deseja recuperar os cartões. Especifica o quadro exato para obter detalhes dos cartões. - llm_description: Input the ID of the Trello board to fetch its cards, allowing for a detailed overview of the board's contents. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.py b/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.py deleted file mode 100644 index 3d7f9f4ad1c996..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GetFilteredBoardCardsTool(BuiltinTool): - """ - Tool for retrieving filtered cards on a Trello board by its ID and a specified filter. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to retrieve filtered cards on a Trello board by its ID and filter. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the board ID and filter. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.get("boardId") - filter = tool_parameters.get("filter") - - if not (api_key and token and board_id and filter): - return self.create_text_message("Missing required parameters: API key, token, board ID, or filter.") - - url = f"https://api.trello.com/1/boards/{board_id}/cards/{filter}?key={api_key}&token={token}" - - try: - response = requests.get(url) - response.raise_for_status() - filtered_cards = response.json() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to retrieve filtered cards") - - card_details = "\n".join([f"{card['name']} (ID: {card['id']})" for card in filtered_cards]) - return self.create_text_message( - text=f"Filtered Cards for Board ID {board_id} with Filter '{filter}':\n{card_details}" - ) diff --git a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.yaml b/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.yaml deleted file mode 100644 index 390595645771e4..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_filterd_board_cards.yaml +++ /dev/null @@ -1,40 +0,0 @@ -identity: - name: get_filtered_board_cards - author: Yash Parmar - label: - en_US: Get Filtered Board Cards - zh_Hans: 获取筛选的看板卡片 - pt_BR: Obter Cartões Filtrados do Quadro -description: - human: - en_US: Retrieves cards from a Trello board using a specified filter and the board's ID. Filters include options like 'all', 'open', 'closed', 'none', and 'visible', allowing for tailored views of board content. - zh_Hans: 使用指定的过滤器和看板的 ID 从 Trello 看板检索卡片。过滤器包括 'all', 'open', 'closed', 'none' 和 'visible' 等选项，允许对看板内容进行定制查看。 - pt_BR: Recupera cartões de um quadro Trello usando um filtro especificado e o ID do quadro. Os filtros incluem opções como 'all', 'open', 'closed', 'none' e 'visible', permitindo visualizações personalizadas do conteúdo do quadro. - llm: Access cards on a Trello board through specific filters such as 'all', 'open', 'closed', 'none', and 'visible' by providing the board's ID. This feature enables focused examination of the board's cards. -parameters: - - name: boardId - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier for the Trello board from which to retrieve the filtered cards. - zh_Hans: 用于检索筛选卡片的 Trello 看板的唯一标识符。 - pt_BR: O identificador único do quadro Trello do qual os cartões filtrados serão recuperados. - llm_description: Enter the Trello board's ID to specify from which board to fetch the cards using the filter. - form: llm - - name: filter - type: string - required: true - label: - en_US: Filter - zh_Hans: 过滤器 - pt_BR: Filtro - human_description: - en_US: The filter to apply when retrieving cards. Valid values are 'all', 'open', 'closed', 'none', and 'visible'. - zh_Hans: 检索卡片时应用的过滤器。有效值为 'all', 'open', 'closed', 'none', 和 'visible'。 - pt_BR: O filtro a ser aplicado ao recuperar cartões. Os valores válidos são 'all', 'open', 'closed', 'none' e 'visible'. - llm_description: Specify the filter for card retrieval. Choose from 'all', 'open', 'closed', 'none', or 'visible' to control which cards are fetched. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.py b/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.py deleted file mode 100644 index ccf404068f225e..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.py +++ /dev/null @@ -1,43 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class GetListsFromBoardTool(BuiltinTool): - """ - Tool for retrieving all lists from a specified Trello board by its ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool]]) -> ToolInvokeMessage: - """ - Invoke the tool to get all lists from a specified Trello board. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool]]): The parameters for the tool invocation, - including the board ID. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.get("boardId") - - if not (api_key and token and board_id): - return self.create_text_message("Missing required parameters: API key, token, or board ID.") - - url = f"https://api.trello.com/1/boards/{board_id}/lists?key={api_key}&token={token}" - - try: - response = requests.get(url) - response.raise_for_status() - lists = response.json() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to retrieve lists") - - lists_info = "\n".join([f"{list['name']} (ID: {list['id']})" for list in lists]) - return self.create_text_message(text=f"Lists on Board ID {board_id}:\n{lists_info}") diff --git a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.yaml b/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.yaml deleted file mode 100644 index 31028a80404de3..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/get_lists_on_board.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: get_lists_from_board - author: Yash Parmar - label: - en_US: Get Lists from Board - zh_Hans: 获取看板的列表 - pt_BR: Obter Listas do Quadro -description: - human: - en_US: Retrieves all lists from a specified Trello board by its ID, providing an overview of the board's organization and current phases or categories. - zh_Hans: 通过其 ID 从指定的 Trello 看板检索所有列表，提供看板组织和当前阶段或类别的概览。 - pt_BR: Recupera todas as listas de um quadro Trello especificado pelo seu ID, fornecendo uma visão geral da organização do quadro e das fases ou categorias atuais. - llm: Fetch and display all lists from a specific Trello board by inputting the board's ID. This aids in understanding the board's structure and task categorization. -parameters: - - name: boardId - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier of the Trello board from which to retrieve the lists. - zh_Hans: 用于检索列表的 Trello 看板的唯一标识符。 - pt_BR: O identificador único do quadro Trello do qual as listas serão recuperadas. - llm_description: Enter the ID of the Trello board to obtain a detailed list of all its lists, providing insight into the board's structure. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/update_board.py b/api/core/tools/provider/builtin/trello/tools/update_board.py deleted file mode 100644 index 1e358b00f49add..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/update_board.py +++ /dev/null @@ -1,47 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class UpdateBoardByIdTool(BuiltinTool): - """ - Tool for updating a Trello board by its ID with various parameters. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool, None]]) -> ToolInvokeMessage: - """ - Invoke the tool to update a Trello board by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool, None]]): The parameters for the tool invocation, - including board ID and updates. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - board_id = tool_parameters.pop("boardId", None) - - if not (api_key and token and board_id): - return self.create_text_message("Missing required parameters: API key, token, or board ID.") - - url = f"https://api.trello.com/1/boards/{board_id}" - - # Removing parameters not intended for update action or with None value - params = {k: v for k, v in tool_parameters.items() if v is not None} - params["key"] = api_key - params["token"] = token - - try: - response = requests.put(url, params=params) - response.raise_for_status() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to update board") - - updated_board = response.json() - return self.create_text_message(text=f"Board '{updated_board['name']}' updated successfully.") diff --git a/api/core/tools/provider/builtin/trello/tools/update_board.yaml b/api/core/tools/provider/builtin/trello/tools/update_board.yaml deleted file mode 100644 index 487919631ade34..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/update_board.yaml +++ /dev/null @@ -1,157 +0,0 @@ -identity: - name: update_board_by_id - author: Yash Parmar - label: - en_US: Update Board by ID - zh_Hans: 通过 ID 更新看板 - pt_BR: Atualizar Quadro por ID -description: - human: - en_US: Updates a Trello board's settings based on the provided ID and parameters. Allows for changing the board's name, description, status, and other preferences. - zh_Hans: 根据提供的 ID 和参数更新 Trello 看板的设置。允许更改看板的名称、描述、状态和其他偏好设置。 - pt_BR: Atualiza as configurações de um quadro Trello com base no ID fornecido e nos parâmetros. Permite alterar o nome, descrição, status e outras preferências do quadro. - llm: Modify a Trello board's attributes like its name, description, and visibility settings using the board's ID. This tool streamlines board customization and management. -parameters: - - name: boardId - type: string - required: true - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: The unique identifier of the Trello board you want to update. Ensures targeted and precise updates. - zh_Hans: 您要更新的 Trello 看板的唯一标识符。确保目标准确和更新精确。 - pt_BR: O identificador único do quadro Trello que você deseja atualizar. Garante atualizações direcionadas e precisas. - llm_description: Provide the specific ID of the Trello board you aim to update to ensure accuracy in modification process. - form: llm - - name: name - type: string - required: false - label: - en_US: Board Name - zh_Hans: 看板名称 - pt_BR: Nome do Quadro - human_description: - en_US: Optional. The new name for the board. - zh_Hans: 可选。看板的新名称。 - pt_BR: Opcional. O novo nome para o quadro. - llm_description: Enter a new name for the board if you wish to change it; this name identifies the board in Trello. - form: llm - - name: desc - type: string - required: false - label: - en_US: Board Description - zh_Hans: 看板描述 - pt_BR: Descrição do Quadro - human_description: - en_US: Optional. The new description for the board. - zh_Hans: 可选。看板的新描述。 - pt_BR: Opcional. A nova descrição para o quadro. - llm_description: Provide a new description for the board if you wish to update it; this description provides additional context about the board. - form: llm - - name: closed - type: boolean - required: false - label: - en_US: Closed - zh_Hans: 已关闭 - pt_BR: Fechado - human_description: - en_US: Optional. Set to true to close the board, or false to keep it open. - zh_Hans: 可选。设置为 true 以关闭看板，或设置为 false 以保持打开。 - pt_BR: Opcional. Defina como true para fechar o quadro ou como false para mantê-lo aberto. - llm_description: Specify whether the board should be closed or kept open by setting this parameter to true or false. - form: llm - - name: subscribed - type: string - required: false - label: - en_US: Subscribed - zh_Hans: 订阅 - pt_BR: Inscrito - human_description: - en_US: Optional. Set to true to subscribe to the board, or false to unsubscribe. - zh_Hans: 可选。设置为 true 以订阅看板，或设置为 false 以取消订阅。 - pt_BR: Opcional. Defina como true para se inscrever no quadro ou como false para cancelar a inscrição. - llm_description: Choose to subscribe or unsubscribe from the board by setting this parameter to true or false. - form: llm - - name: idOrganization - type: string - required: false - label: - en_US: Organization ID - zh_Hans: 组织 ID - pt_BR: ID da Organização - human_description: - en_US: Optional. The ID of the organization to which the board belongs. - zh_Hans: 可选。看板所属组织的 ID。 - pt_BR: Opcional. O ID da organização à qual o quadro pertence. - llm_description: Input the ID of the organization to which the board is associated, if applicable. - form: llm - - name: prefs_permissionLevel - type: string - required: false - label: - en_US: Permission Level - zh_Hans: 权限级别 - pt_BR: Nível de Permissão - human_description: - en_US: Optional. The permission level for the board. Valid values are 'private', 'org', or 'public'. - zh_Hans: 可选。看板的权限级别。有效值为 'private'、'org' 或 'public'。 - pt_BR: Opcional. O nível de permissão para o quadro. Os valores válidos são 'private', 'org' ou 'public'. - llm_description: Specify the permission level for the board by choosing from 'private', 'org', or 'public'. - form: llm - - name: prefs_selfJoin - type: boolean - required: false - label: - en_US: Allow Self-Join - zh_Hans: 允许自行加入 - pt_BR: Permitir Auto-Inscrição - human_description: - en_US: Optional. Set to true to allow members to join the board without an invitation, or false to require an invitation. - zh_Hans: 可选。设置为 true 以允许成员加入看板而无需邀请，或设置为 false 以要求邀请。 - pt_BR: Opcional. Defina como true para permitir que os membros se inscrevam no quadro sem um convite, ou como false para exigir um convite. - llm_description: Choose whether to allow members to join the board without an invitation by setting this parameter to true or false. - form: llm - - name: prefs_cardCovers - type: boolean - required: false - label: - en_US: Card Covers - zh_Hans: 卡片封面 - pt_BR: Capas de Cartão - human_description: - en_US: Optional. Set to true to enable card covers, or false to disable them. - zh_Hans: 可选。设置为 true 以启用卡片封面，或设置为 false 以禁用卡片封面。 - pt_BR: Opcional. Defina como true para habilitar capas de cartão ou como false para desabilitá-las. - llm_description: Enable or disable card covers by setting this parameter to true or false. - form: llm - - name: prefs_hideVotes - type: boolean - required: false - label: - en_US: Hide Votes - zh_Hans: 隐藏投票 - pt_BR: Ocultar Votos - human_description: - en_US: Optional. Set to true to hide votes, or false to show them. - zh_Hans: 可选。设置为 true 以隐藏投票，或设置为 false 以显示投票。 - pt_BR: Opcional. Defina como true para ocultar votos ou como false para mostrá-los. - llm_description: Choose to hide or show votes by setting this parameter to true or false. - form: llm - - name: prefs_invitations - type: string - required: false - label: - en_US: Invitations - zh_Hans: 邀请 - pt_BR: Convites - human_description: - en_US: Optional. Set to 'members' to allow only board members to send invitations, or 'admins' to allow admins to send invitations. - zh_Hans: 可选。设置为 'members' 以仅允许看板成员发送邀请，或设置为 'admins' 以允许管理员发送邀请。 - pt_BR: Opcional. Defina como 'members' para permitir que apenas membros do quadro enviem convites, ou 'admins' para permitir que os administradores enviem convites. - llm_description: Choose who can send invitations by setting this parameter to 'members' or 'admins'. - form: llm diff --git a/api/core/tools/provider/builtin/trello/tools/update_card.py b/api/core/tools/provider/builtin/trello/tools/update_card.py deleted file mode 100644 index d25fcbafaa6326..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/update_card.py +++ /dev/null @@ -1,45 +0,0 @@ -from typing import Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class UpdateCardByIdTool(BuiltinTool): - """ - Tool for updating a Trello card by its ID. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Union[str, int, bool, None]]) -> ToolInvokeMessage: - """ - Invoke the tool to update a Trello card by its ID. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Union[str, int, bool, None]]): The parameters for the tool invocation, - including the card ID and updates. - - Returns: - ToolInvokeMessage: The result of the tool invocation. - """ - api_key = self.runtime.credentials.get("trello_api_key") - token = self.runtime.credentials.get("trello_api_token") - card_id = tool_parameters.get("id") - - if not (api_key and token and card_id): - return self.create_text_message("Missing required parameters: API key, token, or card ID.") - - # Constructing the URL and the payload for the PUT request - url = f"https://api.trello.com/1/cards/{card_id}" - params = {k: v for k, v in tool_parameters.items() if v is not None and k != "id"} - params.update({"key": api_key, "token": token}) - - try: - response = requests.put(url, params=params) - response.raise_for_status() - except requests.exceptions.RequestException as e: - return self.create_text_message("Failed to update card") - - updated_card_info = f"Card '{card_id}' updated successfully." - return self.create_text_message(text=updated_card_info) diff --git a/api/core/tools/provider/builtin/trello/tools/update_card.yaml b/api/core/tools/provider/builtin/trello/tools/update_card.yaml deleted file mode 100644 index 5240dfc3ed2564..00000000000000 --- a/api/core/tools/provider/builtin/trello/tools/update_card.yaml +++ /dev/null @@ -1,81 +0,0 @@ -identity: - name: update_card_by_id - author: Yash Parmar - label: - en_US: Update Card by ID - zh_Hans: 通过 ID 更新卡片 - pt_BR: Atualizar Cartão por ID -description: - human: - en_US: Updates specified attributes of a Trello card, such as its name, description, list ID, and board ID, by providing the card's unique ID. - zh_Hans: 通过提供卡片的唯一 ID，更新 Trello 卡片的特定属性，如其名称、描述、列表 ID 和看板 ID。 - pt_BR: Atualiza atributos específicos de um cartão Trello, como seu nome, descrição, ID da lista e ID do quadro, fornecendo o ID único do cartão. - llm: Modify a Trello card's key details, including name, description, and its placement on the board, by using the card's ID. Enables precise and targeted updates to card information. -parameters: - - name: id - type: string - required: true - label: - en_US: Card ID - zh_Hans: 卡片 ID - pt_BR: ID do Cartão - human_description: - en_US: The unique identifier of the Trello card you intend to update. - zh_Hans: 您打算更新的 Trello 卡片的唯一标识符。 - pt_BR: O identificador único do cartão Trello que você pretende atualizar. - llm_description: Input the ID of the Trello card to be updated to ensure the correct card is targeted. - form: llm - # Include other parameters following the same pattern - - name: name - type: string - required: false - label: - en_US: New Name - zh_Hans: 新名称 - pt_BR: Novo Nome - human_description: - en_US: Optional. The new name to assign to the card. - zh_Hans: 可选。要分配给卡片的新名称。 - pt_BR: Opcional. O novo nome a ser atribuído ao cartão. - llm_description: Specify a new name for the card if changing it. This name is what will be displayed on the Trello board. - form: llm - # Add definitions for desc, idList and idBoard parameters - - name: desc - type: string - required: false - label: - en_US: New Description - zh_Hans: 新描述 - pt_BR: Nova Descrição - human_description: - en_US: Optional. The new description to assign to the card. - zh_Hans: 可选。要分配给卡片的新描述。 - pt_BR: Opcional. A nova descrição a ser atribuída ao cartão. - llm_description: Provide a new description for the card if you wish to update it; this description provides additional context about the card. - form: llm - - name: idList - type: string - required: false - label: - en_US: List ID - zh_Hans: 列表 ID - pt_BR: ID da Lista - human_description: - en_US: Optional. The ID of the list to which the card should be moved. - zh_Hans: 可选。卡片应移动到的列表的 ID。 - pt_BR: Opcional. O ID da lista para a qual o cartão deve ser movido. - llm_description: Enter the ID of the list where you want to move the card. This action relocates the card to the specified list. - form: llm - - name: idBoard - type: string - required: false - label: - en_US: Board ID - zh_Hans: 看板 ID - pt_BR: ID do Quadro - human_description: - en_US: Optional. The ID of the board to which the card should be moved. - zh_Hans: 可选。卡片应移动到的看板的 ID。 - pt_BR: Opcional. O ID do quadro para o qual o cartão deve ser movido. - llm_description: Provide the ID of the board where you want to move the card. This action relocates the card to the specified board. - form: llm diff --git a/api/core/tools/provider/builtin/trello/trello.py b/api/core/tools/provider/builtin/trello/trello.py deleted file mode 100644 index e0dca50ec99aee..00000000000000 --- a/api/core/tools/provider/builtin/trello/trello.py +++ /dev/null @@ -1,34 +0,0 @@ -from typing import Any - -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class TrelloProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - """Validate Trello API credentials by making a test API call. - - Args: - credentials (dict[str, Any]): The Trello API credentials to validate. - - Raises: - ToolProviderCredentialValidationError: If the credentials are invalid. - """ - api_key = credentials.get("trello_api_key") - token = credentials.get("trello_api_token") - url = f"https://api.trello.com/1/members/me?key={api_key}&token={token}" - - try: - response = requests.get(url) - response.raise_for_status() # Raises an HTTPError for bad responses - except requests.exceptions.HTTPError as e: - if response.status_code == 401: - # Unauthorized, indicating invalid credentials - raise ToolProviderCredentialValidationError("Invalid Trello credentials: Unauthorized.") - # Handle other potential HTTP errors - raise ToolProviderCredentialValidationError("Error validating Trello credentials") - except requests.exceptions.RequestException as e: - # Handle other exceptions, such as connection errors - raise ToolProviderCredentialValidationError("Error validating Trello credentials") diff --git a/api/core/tools/provider/builtin/trello/trello.yaml b/api/core/tools/provider/builtin/trello/trello.yaml deleted file mode 100644 index 49c9f4f9a178f8..00000000000000 --- a/api/core/tools/provider/builtin/trello/trello.yaml +++ /dev/null @@ -1,47 +0,0 @@ -identity: - author: Yash Parmar - name: trello - label: - en_US: Trello - zh_Hans: Trello - pt_BR: Trello - description: - en_US: "Trello: A visual tool for organizing your work and life." - zh_Hans: "Trello: 一个用于组织工作和生活的视觉工具。" - pt_BR: "Trello: Uma ferramenta visual para organizar seu trabalho e vida." - icon: icon.svg - tags: - - productivity -credentials_for_provider: - trello_api_key: - type: secret-input - required: true - label: - en_US: Trello API key - zh_Hans: Trello API key - pt_BR: Trello API key - placeholder: - en_US: Enter your Trello API key - zh_Hans: 输入您的 Trello API key - pt_BR: Insira sua chave API do Trello - help: - en_US: Obtain your API key from Trello's website. - zh_Hans: 从 Trello 网站获取您的 API key。 - pt_BR: Obtenha sua chave API no site do Trello. - url: https://developer.atlassian.com/cloud/trello/guides/rest-api/api-introduction/ - trello_api_token: - type: secret-input - required: true - label: - en_US: Trello API token - zh_Hans: Trello API token - pt_BR: Trello API token - placeholder: - en_US: Enter your Trello API token - zh_Hans: 输入您的 Trello API token - pt_BR: Insira seu token API do Trello - help: - en_US: Secure your API token from Trello's website. - zh_Hans: 从 Trello 网站获取您的 API token。 - pt_BR: Garanta seu token API no site do Trello. - url: https://developer.atlassian.com/cloud/trello/guides/rest-api/api-introduction/ diff --git a/api/core/tools/provider/builtin/twilio/_assets/icon.svg b/api/core/tools/provider/builtin/twilio/_assets/icon.svg deleted file mode 100644 index a1e2bd12c27d64..00000000000000 --- a/api/core/tools/provider/builtin/twilio/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/twilio/tools/send_message.py b/api/core/tools/provider/builtin/twilio/tools/send_message.py deleted file mode 100644 index 98a108f4ec7e93..00000000000000 --- a/api/core/tools/provider/builtin/twilio/tools/send_message.py +++ /dev/null @@ -1,97 +0,0 @@ -from typing import Any, Optional, Union - -from pydantic import BaseModel, field_validator - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class TwilioAPIWrapper(BaseModel): - """Messaging Client using Twilio. - - To use, you should have the ``twilio`` python package installed, - and the environment variables ``TWILIO_ACCOUNT_SID``, ``TWILIO_AUTH_TOKEN``, and - ``TWILIO_FROM_NUMBER``, or pass `account_sid`, `auth_token`, and `from_number` as - named parameters to the constructor. - """ - - client: Any = None #: :meta private: - account_sid: Optional[str] = None - """Twilio account string identifier.""" - auth_token: Optional[str] = None - """Twilio auth token.""" - from_number: Optional[str] = None - """A Twilio phone number in [E.164](https://www.twilio.com/docs/glossary/what-e164) - format, an - [alphanumeric sender ID](https://www.twilio.com/docs/sms/send-messages#use-an-alphanumeric-sender-id), - or a [Channel Endpoint address](https://www.twilio.com/docs/sms/channels#channel-addresses) - that is enabled for the type of message you want to send. Phone numbers or - [short codes](https://www.twilio.com/docs/sms/api/short-code) purchased from - Twilio also work here. You cannot, for example, spoof messages from a private - cell phone number. If you are using `messaging_service_sid`, this parameter - must be empty. - """ - - @field_validator("client", mode="before") - @classmethod - def set_validator(cls, values: dict) -> dict: - """Validate that api key and python package exists in environment.""" - try: - from twilio.rest import Client # type: ignore - except ImportError: - raise ImportError("Could not import twilio python package. Please install it with `pip install twilio`.") - account_sid = values.get("account_sid") - auth_token = values.get("auth_token") - values["from_number"] = values.get("from_number") - values["client"] = Client(account_sid, auth_token) - - return values - - def run(self, body: str, to: str) -> str: - """Run body through Twilio and respond with message sid. - - Args: - body: The text of the message you want to send. Can be up to 1,600 - characters in length. - to: The destination phone number in - [E.164](https://www.twilio.com/docs/glossary/what-e164) format for - SMS/MMS or - [Channel user address](https://www.twilio.com/docs/sms/channels#channel-addresses) - for other 3rd-party channels. - """ - message = self.client.messages.create(to, from_=self.from_number, body=body) - return message.sid - - -class SendMessageTool(BuiltinTool): - """ - A tool for sending messages using Twilio API. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (Dict[str, Any]): The parameters required for sending the message. - - Returns: - Union[ToolInvokeMessage, List[ToolInvokeMessage]]: The result of invoking the tool, - which includes the status of the message sending operation. - """ - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - account_sid = self.runtime.credentials["account_sid"] - auth_token = self.runtime.credentials["auth_token"] - from_number = self.runtime.credentials["from_number"] - - message = tool_parameters["message"] - to_number = tool_parameters["to_number"] - - if to_number.startswith("whatsapp:"): - from_number = f"whatsapp: {from_number}" - - twilio = TwilioAPIWrapper(account_sid=account_sid, auth_token=auth_token, from_number=from_number) - - # Sending the message through Twilio - result = twilio.run(message, to_number) - - return self.create_text_message(text="Message sent successfully.") diff --git a/api/core/tools/provider/builtin/twilio/tools/send_message.yaml b/api/core/tools/provider/builtin/twilio/tools/send_message.yaml deleted file mode 100644 index e129698c86aeb6..00000000000000 --- a/api/core/tools/provider/builtin/twilio/tools/send_message.yaml +++ /dev/null @@ -1,40 +0,0 @@ -identity: - name: send_message - author: Yash Parmar - label: - en_US: SendMessage - zh_Hans: 发送消息 - pt_BR: SendMessage -description: - human: - en_US: Send SMS or Twilio Messaging Channels messages. - zh_Hans: 发送SMS或Twilio消息通道消息。 - pt_BR: Send SMS or Twilio Messaging Channels messages. - llm: Send SMS or Twilio Messaging Channels messages. Supports different channels including WhatsApp. -parameters: - - name: message - type: string - required: true - label: - en_US: Message - zh_Hans: 消息内容 - pt_BR: Message - human_description: - en_US: The content of the message to be sent. - zh_Hans: 要发送的消息内容。 - pt_BR: The content of the message to be sent. - llm_description: The content of the message to be sent. - form: llm - - name: to_number - type: string - required: true - label: - en_US: To Number - zh_Hans: 收信号码 - pt_BR: Para Número - human_description: - en_US: The recipient's phone number. Prefix with 'whatsapp:' for WhatsApp messages, e.g., "whatsapp:+1234567890". - zh_Hans: 收件人的电话号码。WhatsApp消息前缀为'whatsapp:'，例如，"whatsapp:+1234567890"。 - pt_BR: The recipient's phone number. Prefix with 'whatsapp:' for WhatsApp messages, e.g., "whatsapp:+1234567890". - llm_description: The recipient's phone number. Prefix with 'whatsapp:' for WhatsApp messages, e.g., "whatsapp:+1234567890". - form: llm diff --git a/api/core/tools/provider/builtin/twilio/twilio.py b/api/core/tools/provider/builtin/twilio/twilio.py deleted file mode 100644 index 649e03d185121c..00000000000000 --- a/api/core/tools/provider/builtin/twilio/twilio.py +++ /dev/null @@ -1,29 +0,0 @@ -from typing import Any - -from twilio.base.exceptions import TwilioRestException # type: ignore -from twilio.rest import Client # type: ignore - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class TwilioProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - # Extract credentials - account_sid = credentials["account_sid"] - auth_token = credentials["auth_token"] - from_number = credentials["from_number"] - - # Initialize twilio client - client = Client(account_sid, auth_token) - - # fetch account - client.api.accounts(account_sid).fetch() - - except TwilioRestException as e: - raise ToolProviderCredentialValidationError(f"Twilio API error: {e.msg}") from e - except KeyError as e: - raise ToolProviderCredentialValidationError(f"Missing required credential: {e}") from e - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/twilio/twilio.yaml b/api/core/tools/provider/builtin/twilio/twilio.yaml deleted file mode 100644 index 21867c1da5dc32..00000000000000 --- a/api/core/tools/provider/builtin/twilio/twilio.yaml +++ /dev/null @@ -1,48 +0,0 @@ -identity: - author: Yash Parmar - name: twilio - label: - en_US: Twilio - zh_Hans: Twilio - pt_BR: Twilio - description: - en_US: Send messages through SMS or Twilio Messaging Channels. - zh_Hans: 通过SMS或Twilio消息通道发送消息。 - pt_BR: Send messages through SMS or Twilio Messaging Channels. - icon: icon.svg - tags: - - social -credentials_for_provider: - account_sid: - type: secret-input - required: true - label: - en_US: Account SID - zh_Hans: 账户SID - pt_BR: Account SID - placeholder: - en_US: Please input your Twilio Account SID - zh_Hans: 请输入您的Twilio账户SID - pt_BR: Please input your Twilio Account SID - auth_token: - type: secret-input - required: true - label: - en_US: Auth Token - zh_Hans: 认证令牌 - pt_BR: Auth Token - placeholder: - en_US: Please input your Twilio Auth Token - zh_Hans: 请输入您的Twilio认证令牌 - pt_BR: Please input your Twilio Auth Token - from_number: - type: secret-input - required: true - label: - en_US: From Number - zh_Hans: 发信号码 - pt_BR: De Número - placeholder: - en_US: Please input your Twilio phone number - zh_Hans: 请输入您的Twilio电话号码 - pt_BR: Please input your Twilio phone number diff --git a/api/core/tools/provider/builtin/vanna/_assets/icon.png b/api/core/tools/provider/builtin/vanna/_assets/icon.png deleted file mode 100644 index 3a9011b54d8a07f01e6b2fb934f3937bca0fd85a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 4612 zcmb7Ic{r49`+mm04=H<05wZ=Vk}<}<8)VBikzID9#%>VVDJ`-WLPcbcWX+PSk)7-m z#xVBfqu$^9e!t`RzCXVEKJMo_pX<8L^SbW)e*Su*^mNqdX*g&A0HD`USJpqVR;P=K z;^aACqpptv06%^Jz}*Lcy%QI15diLr1HiHs0Kk(0 zfYl@I!wtkq;J%%ShCK=e2%TUmfE;uNAU#2#lL>%0fK#;-1ZaXd|Hk?t!M}1y0N{ZW zK=xOT*@-L=@z^T(2Af&NjXC%7K;_b zN{YFAIY1?(rKO?bFenTrdXgcE@pbdQ?IY@j;r%1>e>%!`7#lAq4{s-TH^`~(ZEN?t z-m(`jo)-Fh{OQx%$^M^8ZkWHeb+SR|X#^@ECJy~iG&>)s|3W*B{Gt8c*Pn8TQ!%)% zmy_K|!>4T_B@n+0{6F76?IBK8;CfCzb}lB$POf%tnBN?6*cAlyKZgDz)%3qp|1Iz5f7I(Q>0 z9z#a%GgjtDak%Kka6#m8->AW@@hhfsTURS5tFfQiWw!jVvNaP~)lsrF8&%t5YiS$l z7#^F?wbK`-{^yw}NfKIGsMx)`#k`_gQXad{57eQNF`7fmfMu~wVEH~GTa6Rn+PpB# zTY$+Gsk!g2YUfq5-cpldXUW0_M#F-A`q>SMuxGUj7?mz~o(g_pXx^LGys`hS$_~09 zm_pczQS_+d($^))IFvKng6^IQ3^nat3cp!ff1doHNl~!jjGjsgB{7fKdWN;691)(( zn5=L>+=E!)CktcKAYr_FgSc-gxxVR)#B0hZf7V8T|RvC>M0i1l*+OL|_wIABIGkq2g z)m_wWh8lQ(qlSCgYPk^`3;hz?HAYOyzO4EF5-No6P)ZhwWd7t})~1Rh?=S%^C7y{7 z!W1b@#H!Ota?{DK2K!BU4Vq-yuHX}4qVz7=IqA^5a&^%UKy?z@hd7yRDDD$m3mTlC zsBflO-=I&z86|1VH1aEWZ}Eu>6A4Dkf7nj#+DhlX&zC#gMI*{n*_1%0bp1k+a|4=O zox*DZXXI@Yhnti2gzWv3c-~qWe6v+N5y~tx#s6JVr>m{!NodR`3 z+hK!T@P}LR$)lQY$y8+OuGR4c`h72T_N{tPKFrWY(InEon?wxTH0UyA^aY;X688kh zw~#eN?2*%|tx_Km@${FBNa8$X3@b2u4RYwh2XDAxaTloQN1o$01Xd&c9mdyj;Vg?3 z7V@^91{zoJ*6~c&{W_;f`N1k{bgn-?Xb8P{(#7hT2H;sGdl(1@{a_@voTbQ*af-Px zAD7BpG$R?8#+|asfATfnv}9Ls@XFG-OFI(5l10W6e|T;4;5aCn2@_FXzVx54q9U^034* z-$TnY(fCwEqcj`^fw9Ue^yxg%H9PVj9b8x60d?Hd(^l8^yu2NHAuhEAP0oig#Ep|K z??_y-En7|*ZGv*|RBzrNG{!DQzI>FEu2N9FR_jAg`+zC{?jL*4C9HTZ+ z2TxUdQDbEFD!Cq&4Q+bk9LzLvbX54ZM50NM|BB6CZjW^@gHna$_R1%8jNwL*Bm-Ve zRF0?rnPQ|i;-Mu^UgAf57s}9+%b?d#z1d|rv9^7eR=%DY&&Em`$S!(jT<@??hBHS% z#AS}Wg^arHWqP%{`zPZ!4C4ZA1nPsg1+NUm792V_lI3jn=0fS5F}H*dN@ZxWrZlt? zouvuVrBMZ!*p?2eqbL@iNIXL5HTGUfXm*QR9Xr-qqBhh(X2`FTHq_emzWkOZg|&E4 zoxZQltK+aiU8U(w7bTJRWKbxKZ)QBb*XUyzm&P00<%p$2e)GHU7}dXyeY+;WV|U~D z90K{sD#f&+I_k&AJy36t9#0_0c6!ka*J>-1boEn-@)VBD$nB#K!R-g;IV35N*R_{p z+Q=|!4-!BJ29smH>D&b$Sf4+Y-%q|(A5Z^4}4dl`X%Z=bu{O8R-gJ!tAvG<#H_h>2;4mIl?E==TIqY(fqH+QZs+sdzH7`BWR% z{UD`iJI-r*oyivV0z2t4-<@CJKicj(W+vwD3Ua;OdIitl*Eh?BCbF|Fvs^3*<$g%J zDHftjoD*UgPc^sC_5sV3vQ;kYOTeXN@#nd~%eyyH#ZWJ29#gnZ9OzqVH2JGM)8 z_}A$~Yv-&aDgN_?I{P!TgNBX+WJu9wOP1l*&Q2k2K7nF3B+p$fT?onGmFD}8S>nb` z_B%MSOmgjepMUjV7#UtPnEK=;`!0S=G`4CMJf^$ka`Z7|V8@y%gI)8g7G7qYGV^{1 z<)Z_5Z*10BXa61#rPR9PfDqD=&&u;$GUHcnQWtP>ytXf`XVoUzHILc44EG?{LpEK< zRub^_C z42#ka4L^>Y1l910gTm!6{*l|}(iGt;LfPZO`iI(|Nq^DPAO?ajzsjsEepq)UpDI0# zkG{O?&Ci+3N>_1?szzfQ|)09deVTeh>Q))4cu#)g73x}6T#cFPgLdt^N=xW3SGv? zJBeaxX2vx-Y-*Mc4OIE+kn~i|V`lWT00q(uC_dHVW@(pxr5}L`pPPh9L8b1+qt7%o zCLCNj#T`rEOF39t99dNL>{2PN*N?F0dD5@fv)%qM8BIwBlYde*Z*qA&hKVF2=dL}6 z6)LBIOIQhYKMh3Tgc+jj?HX5=}ex`WMp+ z(vv<2ma~HoiHqe-U%51|@m#lS>Ds$Ex8EvN)TQ0(#s5Zf-&dI1O5uo`r4ZdcJ?<4C zeoe4HfRWq@=jT+6n#-6ven1Xj+nX0OPnYxj|_Sx8f{mb)d~#rbO8RA&W~8GBLNy!UEl$umNr zadSX0%t`AV@TfVSaxx~6O6!2>U4EK4T|S${^F{KEn{bpAQ8-X8i0sDl*uiY9;$O!@9|` z#E5#g9pj8Xu3-ONLELl*@t&-40%y2{$74#8W;JqiAx8d*Rs^_buxt*E>He8p5b=CI zFpr}{4a9fuBRb(+QA4if4%t$J=Bs{MgvoHnox&ux_p;s0G1h}uhP@YK7V1P6e3!@3 zhS*TkHV0PqibVT7p9teVJk0W|mb?2@$xvbA^_PQS@oRb*rLJm7%6VtD_CxqAiDsDI@uZess7goI! zUF0_%C^FVvkI=oRFfc$c1lm>Cff-VprBH4UZQk6R9m-rtk-aBbzF1+)ORhI|s0YiR zvgdt^Ju+$8Bt3PX7Iogg&Rpiy5@s^WDc66;Ip`9FUsCchIQBbCT}@5>9)-5b3( z>tts(5X_tNRR(iEK^6Hz+>UCj!Mpcd(7_6C;wh}IQu_|;-~_)mt3SIiDMcCUhTb-> zO|TGhrm&NOVOj|{aj}%HnmUtHnu0&XX$^b$-)%bTMaba%0=&Fih;wM7Wu*_#D88fi z@h1{0c|Ui$QLukEJZ9^;rHFQvF#VZCOe4>Ib?2*7ft?!xgaP;3F`U0slksz#V3KIH zVY-gDvghRrMz=GPiEB3vO1D>0Y41N7SUFEm+9iDBd^*Q7sw2PC-nZ@`F<=QrIAQ&N z{_3i1{;y>y{px(55b0~ytg&-^Mvn>!3NaV~FFeDWvA?5m7B`*-sX+tyjKCQnva<%ORi&yP@c#*?;yUbly6Q)+=%V diff --git a/api/core/tools/provider/builtin/vanna/tools/vanna.py b/api/core/tools/provider/builtin/vanna/tools/vanna.py deleted file mode 100644 index a6afd2dddfc63a..00000000000000 --- a/api/core/tools/provider/builtin/vanna/tools/vanna.py +++ /dev/null @@ -1,134 +0,0 @@ -from typing import Any, Union - -from vanna.remote import VannaDefault # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class VannaTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # Ensure runtime and credentials - if not self.runtime or not self.runtime.credentials: - raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing") - api_key = self.runtime.credentials.get("api_key", None) - if not api_key: - raise ToolProviderCredentialValidationError("Please input api key") - - model = tool_parameters.get("model", "") - if not model: - return self.create_text_message("Please input RAG model") - - prompt = tool_parameters.get("prompt", "") - if not prompt: - return self.create_text_message("Please input prompt") - - url = tool_parameters.get("url", "") - if not url: - return self.create_text_message("Please input URL/Host/DSN") - - db_name = tool_parameters.get("db_name", "") - username = tool_parameters.get("username", "") - password = tool_parameters.get("password", "") - port = tool_parameters.get("port", 0) - - base_url = self.runtime.credentials.get("base_url", None) - vn = VannaDefault(model=model, api_key=api_key, config={"endpoint": base_url}) - - db_type = tool_parameters.get("db_type", "") - if db_type in {"Postgres", "MySQL", "Hive", "ClickHouse"}: - if not db_name: - return self.create_text_message("Please input database name") - if not username: - return self.create_text_message("Please input username") - if port < 1: - return self.create_text_message("Please input port") - - schema_sql = "SELECT * FROM INFORMATION_SCHEMA.COLUMNS" - match db_type: - case "SQLite": - schema_sql = "SELECT type, sql FROM sqlite_master WHERE sql is not null" - vn.connect_to_sqlite(url) - case "Postgres": - vn.connect_to_postgres(host=url, dbname=db_name, user=username, password=password, port=port) - case "DuckDB": - vn.connect_to_duckdb(url=url) - case "SQLServer": - vn.connect_to_mssql(url) - case "MySQL": - vn.connect_to_mysql(host=url, dbname=db_name, user=username, password=password, port=port) - case "Oracle": - vn.connect_to_oracle(user=username, password=password, dsn=url) - case "Hive": - vn.connect_to_hive(host=url, dbname=db_name, user=username, password=password, port=port) - case "ClickHouse": - vn.connect_to_clickhouse(host=url, dbname=db_name, user=username, password=password, port=port) - - enable_training = tool_parameters.get("enable_training", False) - reset_training_data = tool_parameters.get("reset_training_data", False) - if enable_training: - if reset_training_data: - existing_training_data = vn.get_training_data() - if len(existing_training_data) > 0: - for _, training_data in existing_training_data.iterrows(): - vn.remove_training_data(training_data["id"]) - - ddl = tool_parameters.get("ddl", "") - question = tool_parameters.get("question", "") - sql = tool_parameters.get("sql", "") - memos = tool_parameters.get("memos", "") - training_metadata = tool_parameters.get("training_metadata", False) - - if training_metadata: - if db_type == "SQLite": - df_ddl = vn.run_sql(schema_sql) - for ddl in df_ddl["sql"].to_list(): - vn.train(ddl=ddl) - else: - df_information_schema = vn.run_sql(schema_sql) - plan = vn.get_training_plan_generic(df_information_schema) - vn.train(plan=plan) - - if ddl: - vn.train(ddl=ddl) - - if sql: - if question: - vn.train(question=question, sql=sql) - else: - vn.train(sql=sql) - if memos: - vn.train(documentation=memos) - - ######################################################################################### - # Due to CVE-2024-5565, we have to disable the chart generation feature - # The Vanna library uses a prompt function to present the user with visualized results, - # it is possible to alter the prompt using prompt injection and run arbitrary Python code - # instead of the intended visualization code. - # Specifically - allowing external input to the library’s “ask” method - # with "visualize" set to True (default behavior) leads to remote code execution. - # Affected versions: <= 0.5.5 - ######################################################################################### - allow_llm_to_see_data = tool_parameters.get("allow_llm_to_see_data", False) - res = vn.ask( - prompt, print_results=False, auto_train=True, visualize=False, allow_llm_to_see_data=allow_llm_to_see_data - ) - - result = [] - - if res is not None: - result.append(self.create_text_message(res[0])) - if len(res) > 1 and res[1] is not None: - result.append(self.create_text_message(res[1].to_markdown())) - if len(res) > 2 and res[2] is not None: - result.append( - self.create_blob_message(blob=res[2].to_image(format="svg"), meta={"mime_type": "image/svg+xml"}) - ) - - return result diff --git a/api/core/tools/provider/builtin/vanna/tools/vanna.yaml b/api/core/tools/provider/builtin/vanna/tools/vanna.yaml deleted file mode 100644 index 309681321b1f3f..00000000000000 --- a/api/core/tools/provider/builtin/vanna/tools/vanna.yaml +++ /dev/null @@ -1,213 +0,0 @@ -identity: - name: vanna - author: QCTC - label: - en_US: Vanna.AI - zh_Hans: Vanna.AI -description: - human: - en_US: The fastest way to get actionable insights from your database just by asking questions. - zh_Hans: 一个基于大模型和RAG的Text2SQL工具。 - llm: A tool for converting text to SQL. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - pt_BR: Prompt - human_description: - en_US: used for generating SQL - zh_Hans: 用于生成SQL - llm_description: key words for generating SQL - form: llm - - name: model - type: string - required: true - label: - en_US: RAG Model - zh_Hans: RAG模型 - human_description: - en_US: RAG Model for your database DDL - zh_Hans: 存储数据库训练数据的RAG模型 - llm_description: RAG Model for generating SQL - form: llm - - name: db_type - type: select - required: true - options: - - value: SQLite - label: - en_US: SQLite - zh_Hans: SQLite - - value: Postgres - label: - en_US: Postgres - zh_Hans: Postgres - - value: DuckDB - label: - en_US: DuckDB - zh_Hans: DuckDB - - value: SQLServer - label: - en_US: Microsoft SQL Server - zh_Hans: 微软 SQL Server - - value: MySQL - label: - en_US: MySQL - zh_Hans: MySQL - - value: Oracle - label: - en_US: Oracle - zh_Hans: Oracle - - value: Hive - label: - en_US: Hive - zh_Hans: Hive - - value: ClickHouse - label: - en_US: ClickHouse - zh_Hans: ClickHouse - default: SQLite - label: - en_US: DB Type - zh_Hans: 数据库类型 - human_description: - en_US: Database type. - zh_Hans: 选择要链接的数据库类型。 - form: form - - name: url - type: string - required: true - label: - en_US: URL/Host/DSN - zh_Hans: URL/Host/DSN - human_description: - en_US: Please input depending on DB type, visit https://vanna.ai/docs/ for more specification - zh_Hans: 请根据数据库类型，填入对应值，详情参考https://vanna.ai/docs/ - form: form - - name: db_name - type: string - required: false - label: - en_US: DB name - zh_Hans: 数据库名 - human_description: - en_US: Database name - zh_Hans: 数据库名 - form: form - - name: username - type: string - required: false - label: - en_US: Username - zh_Hans: 用户名 - human_description: - en_US: Username - zh_Hans: 用户名 - form: form - - name: password - type: secret-input - required: false - label: - en_US: Password - zh_Hans: 密码 - human_description: - en_US: Password - zh_Hans: 密码 - form: form - - name: port - type: number - required: false - label: - en_US: Port - zh_Hans: 端口 - human_description: - en_US: Port - zh_Hans: 端口 - form: form - - name: ddl - type: string - required: false - label: - en_US: Training DDL - zh_Hans: 训练DDL - human_description: - en_US: DDL statements for training data - zh_Hans: 用于训练RAG Model的建表语句 - form: llm - - name: question - type: string - required: false - label: - en_US: Training Question - zh_Hans: 训练问题 - human_description: - en_US: Question-SQL Pairs - zh_Hans: Question-SQL中的问题 - form: llm - - name: sql - type: string - required: false - label: - en_US: Training SQL - zh_Hans: 训练SQL - human_description: - en_US: SQL queries to your training data - zh_Hans: 用于训练RAG Model的SQL语句 - form: llm - - name: memos - type: string - required: false - label: - en_US: Training Memos - zh_Hans: 训练说明 - human_description: - en_US: Sometimes you may want to add documentation about your business terminology or definitions - zh_Hans: 添加更多关于数据库的业务说明 - form: llm - - name: enable_training - type: boolean - required: false - default: false - label: - en_US: Training Data - zh_Hans: 训练数据 - human_description: - en_US: You only need to train once. Do not train again unless you want to add more training data - zh_Hans: 训练数据无更新时，训练一次即可 - form: form - - name: reset_training_data - type: boolean - required: false - default: false - label: - en_US: Reset Training Data - zh_Hans: 重置训练数据 - human_description: - en_US: Remove all training data in the current RAG Model - zh_Hans: 删除当前RAG Model中的所有训练数据 - form: form - - name: training_metadata - type: boolean - required: false - default: false - label: - en_US: Training Metadata - zh_Hans: 训练元数据 - human_description: - en_US: If enabled, it will attempt to train on the metadata of that database - zh_Hans: 是否自动从数据库获取元数据来训练 - form: form - - name: allow_llm_to_see_data - type: boolean - required: false - default: false - label: - en_US: Whether to allow the LLM to see the data - zh_Hans: 是否允许LLM查看数据 - human_description: - en_US: Whether to allow the LLM to see the data - zh_Hans: 是否允许LLM查看数据 - form: form diff --git a/api/core/tools/provider/builtin/vanna/vanna.py b/api/core/tools/provider/builtin/vanna/vanna.py deleted file mode 100644 index 4f9cac2beb01bb..00000000000000 --- a/api/core/tools/provider/builtin/vanna/vanna.py +++ /dev/null @@ -1,46 +0,0 @@ -import re -from typing import Any -from urllib.parse import urlparse - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.vanna.tools.vanna import VannaTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class VannaProvider(BuiltinToolProviderController): - def _get_protocol_and_main_domain(self, url): - parsed_url = urlparse(url) - protocol = parsed_url.scheme - hostname = parsed_url.hostname - port = f":{parsed_url.port}" if parsed_url.port else "" - - # Check if the hostname is an IP address - is_ip = re.match(r"^\d{1,3}(\.\d{1,3}){3}$", hostname) is not None - - # Return the full hostname (with port if present) for IP addresses, otherwise return the main domain - main_domain = f"{hostname}{port}" if is_ip else ".".join(hostname.split(".")[-2:]) + port - return f"{protocol}://{main_domain}" - - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - base_url = credentials.get("base_url") - if not base_url: - base_url = "https://ask.vanna.ai/rpc" - else: - base_url = base_url.removesuffix("/") - credentials["base_url"] = base_url - try: - VannaTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "model": "chinook", - "db_type": "SQLite", - "url": f"{self._get_protocol_and_main_domain(credentials['base_url'])}/Chinook.sqlite", - "query": "What are the top 10 customers by sales?", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/vanna/vanna.yaml b/api/core/tools/provider/builtin/vanna/vanna.yaml deleted file mode 100644 index cf3fdca562c0b3..00000000000000 --- a/api/core/tools/provider/builtin/vanna/vanna.yaml +++ /dev/null @@ -1,35 +0,0 @@ -identity: - author: QCTC - name: vanna - label: - en_US: Vanna.AI - zh_Hans: Vanna.AI - description: - en_US: The fastest way to get actionable insights from your database just by asking questions. - zh_Hans: 一个基于大模型和RAG的Text2SQL工具。 - icon: icon.png - tags: - - utilities - - productivity -credentials_for_provider: - api_key: - type: secret-input - required: true - label: - en_US: API key - zh_Hans: API key - placeholder: - en_US: Please input your API key - zh_Hans: 请输入你的 API key - pt_BR: Please input your API key - help: - en_US: Get your API key from Vanna.AI - zh_Hans: 从 Vanna.AI 获取你的 API key - url: https://vanna.ai/account/profile - base_url: - type: text-input - required: false - label: - en_US: Vanna.AI Endpoint Base URL - placeholder: - en_US: https://ask.vanna.ai/rpc diff --git a/api/core/tools/provider/builtin/vectorizer/_assets/icon.png b/api/core/tools/provider/builtin/vectorizer/_assets/icon.png deleted file mode 100644 index 52f18db84372dcfc2968be27d75aec0fca430d55..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1875 zcmV-Z2dwysP)@~0drDELIAGL9O(c600d`2O+f$vv5yP#K9NCX-bJ2W9kC`eGaijACx zhBFjc*ky2>?e6T%?##SRZhn%L(|PVTe*c;GF(11` z9*@W4X;*@*2Gy~!>z}`AGz{piAf%TRy zPyBEts3p9=o9el+Yx61knV_D>7>ErW`{=pWm=JS8n@1VE}u9xEi-HYR}2dhC&8+dbrA#S6fU7l0Wr05e_yX1oB*JVDGH=-zq# z;33h*CK;o%Lezhd=ultdI{WuF-oLj-RR4=;sZO-AMyxm&;IJ^p-~iFkz;5G5EDOW@ zDhxAoBfoKA`08t7_UmZlwT#+NL=)c;8?nhaF?AY}1&+N;bn;lT(UaH^qhWep80ZFR zfgbN*6;j=W-%_sAPfoE?2c#JU2AH1PDYlR@e)&ErgMw;hQT=+&w7Q<9 z+oBeEA>IxmBMz7>2xT~#iohRpX{zA@n*T8LM2rSiio}%G&&p!KvxZ`q3RVPIxxe!o zRqeZ1h0FOPxoz6}NfZt0{XILcQRt=7xtE+_#RXlTZx|MTBm|IwIhmq7c&OHHP`I4s zyV>nr3SeghtTlpcmhq#uI^Ubbs^WK?cvUUWcUcQO7SqwHqiAb-arV6*9I0s0jMSWi=zIA~Nw;+eH8_|DTomwnYrk@&9$h{y$6j)%)ZW z76DXyKQKK44rOdRF&%HRU=e`R|I4c4x?|&mQjY-BbMUgwU0}tr`vJ}c(DDCEhDQMA zg=Dyx`)S3w06PBPWI)8i&rpWzt6N(2lHptcRsV0g02_Kri zJ38-POdaE+_j9@*;7kBrpMG5N*l9CxaXM#{xqClwIs$YyIH~UC-)dWFoJ-a*ei?c{ zaJnr8#g$GbRNX$&GJh)`D5G1^U~1#|5&csw*hg9hoC*LV>ed3NVxv>=&2Fqnkj5D{ z&djG7r!MGb!GdRNS6g>6<717X48A|YsQ~D8t`0yaff4kHg=0oVaGr)v|41yjyeX3o z&IQ0N!dx$WM2E%8W_-X>h~c!MD`Vhrh3!55MPL!Yg*!m6$8Bk9md3kwu%8pgoe{BbKRV5#n_|MXAhkq_i^Ftfbv0>};-oxA1BAd2s@rF} zcebxI@8yq{DbXIAXt9xMnPDe`NlJIC0vI&v(e1!vakGv`87}}cUI1pi0L*v+nDGKI z6Mv8!(K>mokYwBVgWT{iVviM)Y@75b!x{3}A)u+&w_*Zx{7aMG4Ot+dJCzE>o+lg= zpmufZdADcCW0ru%lb$c1m<4S=`FWf?rWl{Socvt*K=!GTkHS$3>7w}QC66}SuKY~W zqs*Jy$f=HnU7MR!6(XF*^Kkv+Zsow}$aav-bnK(aB)8-7csw2t_#fh*6^8a$&I|wm N002ovPDHLkV1mtmh`ay* diff --git a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.py b/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.py deleted file mode 100644 index c722cd36c84e15..00000000000000 --- a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.py +++ /dev/null @@ -1,82 +0,0 @@ -from typing import Any, Union - -from httpx import post - -from core.file.enums import FileType -from core.file.file_manager import download -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter -from core.tools.errors import ToolParameterValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class VectorizerTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - api_key_name = self.runtime.credentials.get("api_key_name") - api_key_value = self.runtime.credentials.get("api_key_value") - mode = tool_parameters.get("mode", "test") - - # image file for workflow mode - image = tool_parameters.get("image") - if image and image.type != FileType.IMAGE: - raise ToolParameterValidationError("Not a valid image") - # image_id for agent mode - image_id = tool_parameters.get("image_id", "") - - if image_id: - image_binary = self.get_variable_file(self.VariableKey.IMAGE) - if not image_binary: - return self.create_text_message("Image not found, please request user to generate image firstly.") - elif image: - image_binary = download(image) - else: - raise ToolParameterValidationError("Please provide either image or image_id") - - response = post( - "https://vectorizer.ai/api/v1/vectorize", - data={"mode": mode}, - files={"image": image_binary}, - auth=(api_key_name, api_key_value), - timeout=30, - ) - - if response.status_code != 200: - raise Exception(response.text) - - return [ - self.create_text_message("the vectorized svg is saved as an image."), - self.create_blob_message(blob=response.content, meta={"mime_type": "image/svg+xml"}), - ] - - def get_runtime_parameters(self) -> list[ToolParameter]: - """ - override the runtime parameters - """ - return [ - ToolParameter.get_simple_instance( - name="image_id", - llm_description=f"the image_id that you want to vectorize, \ - and the image_id should be specified in \ - {[i.name for i in self.list_default_image_variables()]}", - type=ToolParameter.ToolParameterType.SELECT, - required=False, - options=[i.name for i in self.list_default_image_variables()], - ), - ToolParameter( - name="image", - label=I18nObject(en_US="image", zh_Hans="image"), - human_description=I18nObject( - en_US="The image to be converted.", - zh_Hans="要转换的图片。", - ), - type=ToolParameter.ToolParameterType.FILE, - form=ToolParameter.ToolParameterForm.LLM, - llm_description="you should not input this parameter. just input the image_id.", - required=False, - ), - ] diff --git a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml b/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml deleted file mode 100644 index 0afd1c201f9126..00000000000000 --- a/api/core/tools/provider/builtin/vectorizer/tools/vectorizer.yaml +++ /dev/null @@ -1,41 +0,0 @@ -identity: - name: vectorizer - author: Dify - label: - en_US: Vectorizer.AI - zh_Hans: Vectorizer.AI -description: - human: - en_US: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI. - zh_Hans: 一个将 PNG 和 JPG 图像快速轻松地转换为 SVG 矢量图的工具。 - llm: A tool for converting images to SVG vectors. you should input the image id as the input of this tool. the image id can be got from parameters. -parameters: - - name: image - type: file - label: - en_US: image - human_description: - en_US: The image to be converted. - zh_Hans: 要转换的图片。 - llm_description: you should not input this parameter. just input the image_id. - form: llm - - name: mode - type: select - required: true - options: - - value: production - label: - en_US: production - zh_Hans: 生产模式 - - value: test - label: - en_US: test - zh_Hans: 测试模式 - default: test - label: - en_US: Mode - zh_Hans: 模式 - human_description: - en_US: It is free to integrate with and test out the API in test mode, no subscription required. - zh_Hans: 在测试模式下，可以免费测试API。 - form: form diff --git a/api/core/tools/provider/builtin/vectorizer/vectorizer.py b/api/core/tools/provider/builtin/vectorizer/vectorizer.py deleted file mode 100644 index 9d7613f8eaf170..00000000000000 --- a/api/core/tools/provider/builtin/vectorizer/vectorizer.py +++ /dev/null @@ -1,8 +0,0 @@ -from typing import Any - -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class VectorizerProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - return diff --git a/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml b/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml deleted file mode 100644 index 94dae2087609d4..00000000000000 --- a/api/core/tools/provider/builtin/vectorizer/vectorizer.yaml +++ /dev/null @@ -1,39 +0,0 @@ -identity: - author: Dify - name: vectorizer - label: - en_US: Vectorizer.AI - zh_Hans: Vectorizer.AI - description: - en_US: Convert your PNG and JPG images to SVG vectors quickly and easily. Fully automatically. Using AI. - zh_Hans: 一个将 PNG 和 JPG 图像快速轻松地转换为 SVG 矢量图的工具。 - icon: icon.png - tags: - - productivity - - image -credentials_for_provider: - api_key_name: - type: secret-input - required: true - label: - en_US: Vectorizer.AI API Key name - zh_Hans: Vectorizer.AI API Key name - placeholder: - en_US: Please input your Vectorizer.AI ApiKey name - zh_Hans: 请输入你的 Vectorizer.AI ApiKey name - help: - en_US: Get your Vectorizer.AI API Key from Vectorizer.AI. - zh_Hans: 从 Vectorizer.AI 获取您的 Vectorizer.AI API Key。 - url: https://vectorizer.ai/api - api_key_value: - type: secret-input - required: true - label: - en_US: Vectorizer.AI API Key - zh_Hans: Vectorizer.AI API Key - placeholder: - en_US: Please input your Vectorizer.AI ApiKey - zh_Hans: 请输入你的 Vectorizer.AI ApiKey - help: - en_US: Get your Vectorizer.AI API Key from Vectorizer.AI. - zh_Hans: 从 Vectorizer.AI 获取您的 Vectorizer.AI API Key。 diff --git a/api/core/tools/provider/builtin/webscraper/webscraper.py b/api/core/tools/provider/builtin/webscraper/webscraper.py deleted file mode 100644 index 3c51393ac64cc4..00000000000000 --- a/api/core/tools/provider/builtin/webscraper/webscraper.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.webscraper.tools.webscraper import WebscraperTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class WebscraperProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - WebscraperTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "url": "https://www.google.com", - "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 ", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/websearch/_assets/icon.svg b/api/core/tools/provider/builtin/websearch/_assets/icon.svg deleted file mode 100644 index d6ef5d878f8636..00000000000000 --- a/api/core/tools/provider/builtin/websearch/_assets/icon.svg +++ /dev/null @@ -1,23 +0,0 @@ - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/websearch/tools/get_markdown.py b/api/core/tools/provider/builtin/websearch/tools/get_markdown.py deleted file mode 100644 index 043879deeab18f..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/get_markdown.py +++ /dev/null @@ -1,51 +0,0 @@ -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -BASE_URL = "https://api.serply.io/v1/request" - - -class SerplyApi: - """ - SerplyAPI tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SerplyAPI tool provider.""" - self.serply_api_key = api_key - - def run(self, url: str, **kwargs: Any) -> str: - """Run query through SerplyAPI and parse result.""" - - location = kwargs.get("location", "US") - - headers = { - "X-API-KEY": self.serply_api_key, - "X-User-Agent": kwargs.get("device", "desktop"), - "X-Proxy-Location": location, - "User-Agent": "Dify", - } - data = {"url": url, "method": "GET", "response_type": "markdown"} - res = requests.post(url, headers=headers, json=data) - return res.text - - -class GetMarkdownTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SerplyApi tool. - """ - url = tool_parameters["url"] - location = tool_parameters.get("location") - - api_key = self.runtime.credentials["serply_api_key"] - result = SerplyApi(api_key).run(url, location=location) - - return self.create_text_message(text=result) diff --git a/api/core/tools/provider/builtin/websearch/tools/get_markdown.yaml b/api/core/tools/provider/builtin/websearch/tools/get_markdown.yaml deleted file mode 100644 index 06a302bd14b82d..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/get_markdown.yaml +++ /dev/null @@ -1,96 +0,0 @@ -identity: - name: get_markdown - author: Dify - label: - en_US: Get Markdown API - zh_Hans: Get Markdown API -description: - human: - en_US: A tool to perform convert a webpage to markdown to make it easier for LLMs to understand. - zh_Hans: 一个将网页转换为 Markdown 的工具，以便模型更容易理解 - llm: A tool to perform convert a webpage to markdown to make it easier for LLMs to understand. -parameters: - - name: url - type: string - required: true - label: - en_US: URL - zh_Hans: URL - human_description: - en_US: URL that you want to grab the content from - zh_Hans: 您要从中获取内容的 URL - llm_description: Defines the link want to grab content from. - form: llm - - name: location - type: string - required: false - default: US - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: form - options: - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden diff --git a/api/core/tools/provider/builtin/websearch/tools/job_search.py b/api/core/tools/provider/builtin/websearch/tools/job_search.py deleted file mode 100644 index 13eb40339153c9..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/job_search.py +++ /dev/null @@ -1,88 +0,0 @@ -from typing import Any, Union -from urllib.parse import urlencode - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -BASE_URL = "https://api.serply.io/v1/news/" - - -class SerplyApi: - """ - SerplyAPI tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SerplyAPI tool provider.""" - self.serply_api_key = api_key - - def run(self, query: str, **kwargs: Any) -> str: - """Run query through SerplyAPI and parse result.""" - params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)} - location = kwargs.get("location", "US") - - headers = { - "X-API-KEY": self.serply_api_key, - "X-User-Agent": kwargs.get("device", "desktop"), - "X-Proxy-Location": location, - "User-Agent": "Dify", - } - - url = f"{BASE_URL}{urlencode(params)}" - res = requests.get( - url, - headers=headers, - ) - res = res.json() - - return self.parse_results(res) - - @staticmethod - def parse_results(res: dict) -> str: - """Process response from Serply Job Search.""" - jobs = res.get("jobs", []) - if not res or "jobs" not in res: - raise ValueError(f"Got error from Serply: {res}") - - string = [] - for job in jobs[:10]: - try: - string.append( - "\n".join( - [ - f"Position: {job['position']}", - f"Employer: {job['employer']}", - f"Location: {job['location']}", - f"Link: {job['link']}", - f"""Highest: {", ".join(list(job["highlights"]))}""", - "---", - ] - ) - ) - except KeyError: - continue - - content = "\n".join(string) - return f"\nJobs results:\n {content}\n" - - -class JobSearchTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SerplyApi tool. - """ - query = tool_parameters["query"] - gl = tool_parameters.get("gl", "us") - hl = tool_parameters.get("hl", "en") - location = tool_parameters.get("location") - - api_key = self.runtime.credentials["serply_api_key"] - result = SerplyApi(api_key).run(query, gl=gl, hl=hl, location=location) - - return self.create_text_message(text=result) diff --git a/api/core/tools/provider/builtin/websearch/tools/job_search.yaml b/api/core/tools/provider/builtin/websearch/tools/job_search.yaml deleted file mode 100644 index b5ede3df46ab01..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/job_search.yaml +++ /dev/null @@ -1,41 +0,0 @@ -identity: - name: job_search - author: Dify - label: - en_US: Job Search API - zh_Hans: Job Search API -description: - human: - en_US: A tool to retrieve job titles, company names and description from Google Jobs engine. - zh_Hans: 一个从 Google 招聘引擎检索职位名称、公司名称和描述的工具。 - llm: A tool to retrieve job titles, company names and description from Google Jobs engine. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 询问 - human_description: - en_US: Defines the query you want to search. - zh_Hans: 定义您要搜索的查询。 - llm_description: Defines the search query you want to search. - form: llm - - name: location - type: string - required: false - default: US - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: form - options: - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States diff --git a/api/core/tools/provider/builtin/websearch/tools/news_search.py b/api/core/tools/provider/builtin/websearch/tools/news_search.py deleted file mode 100644 index 7a8a732ff3f246..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/news_search.py +++ /dev/null @@ -1,90 +0,0 @@ -from typing import Any, Union -from urllib.parse import urlencode - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -BASE_URL = "https://api.serply.io/v1/news/" - - -class SerplyApi: - """ - SerplyApi tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SerplyApi tool provider.""" - self.serply_api_key = api_key - - def run(self, query: str, **kwargs: Any) -> str: - """Run query through SerplyApi and parse result.""" - params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)} - location = kwargs.get("location", "US") - - headers = { - "X-API-KEY": self.serply_api_key, - "X-User-Agent": kwargs.get("device", "desktop"), - "X-Proxy-Location": location, - "User-Agent": "Dify", - } - - url = f"{BASE_URL}{urlencode(params)}" - res = requests.get( - url, - headers=headers, - ) - res = res.json() - - return self.parse_results(res) - - @staticmethod - def parse_results(res: dict) -> str: - """Process response from Serply News Search.""" - news = res.get("entries", []) - if not res or "entries" not in res: - raise ValueError(f"Got error from Serply: {res}") - - string = [] - for entry in news: - try: - # follow url - r = requests.get(entry["link"]) - final_link = r.history[-1].headers["Location"] - string.append( - "\n".join( - [ - f"Title: {entry['title']}", - f"Link: {final_link}", - f"Source: {entry['source']['title']}", - f"Published: {entry['published']}", - "---", - ] - ) - ) - except KeyError: - continue - - content = "\n".join(string) - return f"\nNews:\n {content}\n" - - -class NewsSearchTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SerplyApi tool. - """ - query = tool_parameters["query"] - gl = tool_parameters.get("gl", "us") - hl = tool_parameters.get("hl", "en") - location = tool_parameters.get("location") - - api_key = self.runtime.credentials["serply_api_key"] - result = SerplyApi(api_key).run(query, gl=gl, hl=hl, location=location) - - return self.create_text_message(text=result) diff --git a/api/core/tools/provider/builtin/websearch/tools/news_search.yaml b/api/core/tools/provider/builtin/websearch/tools/news_search.yaml deleted file mode 100644 index 126c610825ebbb..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/news_search.yaml +++ /dev/null @@ -1,501 +0,0 @@ -identity: - name: news_search - author: Dify - label: - en_US: News Search API - zh_Hans: News Search API -description: - human: - en_US: A tool to retrieve organic search results snippets and links from Google News engine. - zh_Hans: 一种从 Google 新闻引擎检索有机搜索结果片段和链接的工具。 - llm: A tool to retrieve organic search results snippets and links from Google News engine. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 询问 - human_description: - en_US: Defines the query you want to search. - zh_Hans: 定义您要搜索的查询。 - llm_description: Defines the search query you want to search. - form: llm - - name: location - type: string - required: false - default: US - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: form - options: - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden - - name: gl - type: select - label: - en_US: Country - zh_Hans: 国家/地区 - required: false - human_description: - en_US: Defines the country of the search. Default is "US". - zh_Hans: 定义搜索的国家/地区。默认为“美国”。 - llm_description: Defines the gl parameter of the Google search. - form: form - default: US - options: - - value: AR - label: - en_US: Argentina - zh_Hans: 阿根廷 - pt_BR: Argentina - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: AT - label: - en_US: Austria - zh_Hans: 奥地利 - pt_BR: Austria - - value: BE - label: - en_US: Belgium - zh_Hans: 比利时 - pt_BR: Belgium - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: CL - label: - en_US: Chile - zh_Hans: 智利 - pt_BR: Chile - - value: CO - label: - en_US: Colombia - zh_Hans: 哥伦比亚 - pt_BR: Colombia - - value: CN - label: - en_US: China - zh_Hans: 中国 - pt_BR: China - - value: CZ - label: - en_US: Czech Republic - zh_Hans: 捷克共和国 - pt_BR: Czech Republic - - value: DK - label: - en_US: Denmark - zh_Hans: 丹麦 - pt_BR: Denmark - - value: FI - label: - en_US: Finland - zh_Hans: 芬兰 - pt_BR: Finland - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: HK - label: - en_US: Hong Kong - zh_Hans: 香港 - pt_BR: Hong Kong - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: ID - label: - en_US: Indonesia - zh_Hans: 印度尼西亚 - pt_BR: Indonesia - - value: IT - label: - en_US: Italy - zh_Hans: 意大利 - pt_BR: Italy - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: MY - label: - en_US: Malaysia - zh_Hans: 马来西亚 - pt_BR: Malaysia - - value: MX - label: - en_US: Mexico - zh_Hans: 墨西哥 - pt_BR: Mexico - - value: NL - label: - en_US: Netherlands - zh_Hans: 荷兰 - pt_BR: Netherlands - - value: NZ - label: - en_US: New Zealand - zh_Hans: 新西兰 - pt_BR: New Zealand - - value: NO - label: - en_US: Norway - zh_Hans: 挪威 - pt_BR: Norway - - value: PH - label: - en_US: Philippines - zh_Hans: 菲律宾 - pt_BR: Philippines - - value: PL - label: - en_US: Poland - zh_Hans: 波兰 - pt_BR: Poland - - value: PT - label: - en_US: Portugal - zh_Hans: 葡萄牙 - pt_BR: Portugal - - value: RU - label: - en_US: Russia - zh_Hans: 俄罗斯 - pt_BR: Russia - - value: SA - label: - en_US: Saudi Arabia - zh_Hans: 沙特阿拉伯 - pt_BR: Saudi Arabia - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: ZA - label: - en_US: South Africa - zh_Hans: 南非 - pt_BR: South Africa - - value: ES - label: - en_US: Spain - zh_Hans: 西班牙 - pt_BR: Spain - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden - - value: CH - label: - en_US: Switzerland - zh_Hans: 瑞士 - pt_BR: Switzerland - - value: TW - label: - en_US: Taiwan - zh_Hans: 台湾 - pt_BR: Taiwan - - value: TH - label: - en_US: Thailand - zh_Hans: 泰国 - pt_BR: Thailand - - value: TR - label: - en_US: Turkey - zh_Hans: 土耳其 - pt_BR: Turkey - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - name: hl - type: select - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: Defines the interface language of the search. Default is "en". - zh_Hans: 定义搜索的界面语言。默认为“en”。 - required: false - default: en - form: form - options: - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: zh-cn - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - - value: zh-tw - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: iw - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: my - label: - en_US: Malay - zh_Hans: 马来语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: "no" - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 diff --git a/api/core/tools/provider/builtin/websearch/tools/scholar_search.py b/api/core/tools/provider/builtin/websearch/tools/scholar_search.py deleted file mode 100644 index 32c5d39e5b8674..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/scholar_search.py +++ /dev/null @@ -1,93 +0,0 @@ -from typing import Any, Union -from urllib.parse import urlencode - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -BASE_URL = "https://api.serply.io/v1/scholar/" - - -class SerplyApi: - """ - SerplyApi tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize SerplyApi tool provider.""" - self.serply_api_key = api_key - - def run(self, query: str, **kwargs: Any) -> str: - """Run query through SerplyApi and parse result.""" - params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)} - location = kwargs.get("location", "US") - - headers = { - "X-API-KEY": self.serply_api_key, - "X-User-Agent": kwargs.get("device", "desktop"), - "X-Proxy-Location": location, - "User-Agent": "Dify", - } - - url = f"{BASE_URL}{urlencode(params)}" - res = requests.get( - url, - headers=headers, - ) - res = res.json() - - return self.parse_results(res) - - @staticmethod - def parse_results(res: dict) -> str: - """Process response from Serply News Search.""" - articles = res.get("articles", []) - if not res or "articles" not in res: - raise ValueError(f"Got error from Serply: {res}") - - string = [] - for article in articles: - try: - if "doc" in article: - link = article["doc"]["link"] - else: - link = article["link"] - authors = [author["name"] for author in article["author"]["authors"]] - string.append( - "\n".join( - [ - f"Title: {article['title']}", - f"Link: {link}", - f"Description: {article['description']}", - f"Cite: {article['cite']}", - f"Authors: {', '.join(authors)}", - "---", - ] - ) - ) - except KeyError: - continue - - content = "\n".join(string) - return f"\nScholar results:\n {content}\n" - - -class ScholarSearchTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SerplyApi tool. - """ - query = tool_parameters["query"] - gl = tool_parameters.get("gl", "us") - hl = tool_parameters.get("hl", "en") - location = tool_parameters.get("location") - - api_key = self.runtime.credentials["serply_api_key"] - result = SerplyApi(api_key).run(query, gl=gl, hl=hl, location=location) - - return self.create_text_message(text=result) diff --git a/api/core/tools/provider/builtin/websearch/tools/scholar_search.yaml b/api/core/tools/provider/builtin/websearch/tools/scholar_search.yaml deleted file mode 100644 index 63e79d7ebfaa49..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/scholar_search.yaml +++ /dev/null @@ -1,501 +0,0 @@ -identity: - name: scholar_search - author: Dify - label: - en_US: Scholar API - zh_Hans: Scholar API -description: - human: - en_US: A tool to retrieve scholarly literature. - zh_Hans: 学术文献检索工具 - llm: A tool to retrieve scholarly literature. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 询问 - human_description: - en_US: Defines the query you want to search. - zh_Hans: 定义您要搜索的查询。 - llm_description: Defines the search query you want to search. - form: llm - - name: location - type: string - required: false - default: US - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: form - options: - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden - - name: gl - type: select - label: - en_US: Country - zh_Hans: 国家/地区 - required: false - human_description: - en_US: Defines the country of the search. Default is "US". - zh_Hans: 定义搜索的国家/地区。默认为“美国”。 - llm_description: Defines the gl parameter of the Google search. - form: form - default: US - options: - - value: AR - label: - en_US: Argentina - zh_Hans: 阿根廷 - pt_BR: Argentina - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: AT - label: - en_US: Austria - zh_Hans: 奥地利 - pt_BR: Austria - - value: BE - label: - en_US: Belgium - zh_Hans: 比利时 - pt_BR: Belgium - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: CL - label: - en_US: Chile - zh_Hans: 智利 - pt_BR: Chile - - value: CO - label: - en_US: Colombia - zh_Hans: 哥伦比亚 - pt_BR: Colombia - - value: CN - label: - en_US: China - zh_Hans: 中国 - pt_BR: China - - value: CZ - label: - en_US: Czech Republic - zh_Hans: 捷克共和国 - pt_BR: Czech Republic - - value: DK - label: - en_US: Denmark - zh_Hans: 丹麦 - pt_BR: Denmark - - value: FI - label: - en_US: Finland - zh_Hans: 芬兰 - pt_BR: Finland - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: HK - label: - en_US: Hong Kong - zh_Hans: 香港 - pt_BR: Hong Kong - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: ID - label: - en_US: Indonesia - zh_Hans: 印度尼西亚 - pt_BR: Indonesia - - value: IT - label: - en_US: Italy - zh_Hans: 意大利 - pt_BR: Italy - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: MY - label: - en_US: Malaysia - zh_Hans: 马来西亚 - pt_BR: Malaysia - - value: MX - label: - en_US: Mexico - zh_Hans: 墨西哥 - pt_BR: Mexico - - value: NL - label: - en_US: Netherlands - zh_Hans: 荷兰 - pt_BR: Netherlands - - value: NZ - label: - en_US: New Zealand - zh_Hans: 新西兰 - pt_BR: New Zealand - - value: "NO" - label: - en_US: Norway - zh_Hans: 挪威 - pt_BR: Norway - - value: PH - label: - en_US: Philippines - zh_Hans: 菲律宾 - pt_BR: Philippines - - value: PL - label: - en_US: Poland - zh_Hans: 波兰 - pt_BR: Poland - - value: PT - label: - en_US: Portugal - zh_Hans: 葡萄牙 - pt_BR: Portugal - - value: RU - label: - en_US: Russia - zh_Hans: 俄罗斯 - pt_BR: Russia - - value: SA - label: - en_US: Saudi Arabia - zh_Hans: 沙特阿拉伯 - pt_BR: Saudi Arabia - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: ZA - label: - en_US: South Africa - zh_Hans: 南非 - pt_BR: South Africa - - value: ES - label: - en_US: Spain - zh_Hans: 西班牙 - pt_BR: Spain - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden - - value: CH - label: - en_US: Switzerland - zh_Hans: 瑞士 - pt_BR: Switzerland - - value: TW - label: - en_US: Taiwan - zh_Hans: 台湾 - pt_BR: Taiwan - - value: TH - label: - en_US: Thailand - zh_Hans: 泰国 - pt_BR: Thailand - - value: TR - label: - en_US: Turkey - zh_Hans: 土耳其 - pt_BR: Turkey - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - name: hl - type: select - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: Defines the interface language of the search. Default is "en". - zh_Hans: 定义搜索的界面语言。默认为“en”。 - required: false - default: en - form: form - options: - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: zh-cn - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - - value: zh-tw - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: iw - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: my - label: - en_US: Malay - zh_Hans: 马来语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: "no" - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 diff --git a/api/core/tools/provider/builtin/websearch/tools/web_search.py b/api/core/tools/provider/builtin/websearch/tools/web_search.py deleted file mode 100644 index d0e93cb0fa5681..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/web_search.py +++ /dev/null @@ -1,90 +0,0 @@ -import typing -from urllib.parse import urlencode - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SerplyApi: - """ - SerplyApi tool provider. - """ - - def __init__(self, api_key: str) -> None: - """Initialize Serply Web Search Tool provider.""" - self.serply_api_key = api_key - self.base_url = "https://api.serply.io/v1/search/" - - def run(self, query: str, **kwargs: typing.Any) -> str: - """Run query through Serply and parse result.""" - params = {"q": query, "hl": kwargs.get("hl", "en"), "gl": kwargs.get("gl", "US"), "num": kwargs.get("num", 10)} - location = kwargs.get("location", "US") - - headers = { - "X-API-KEY": self.serply_api_key, - "X-User-Agent": kwargs.get("device", "desktop"), - "X-Proxy-Location": location, - "User-Agent": "Dify", - } - - url = f"{self.base_url}{urlencode(params)}" - res = requests.get( - url, - headers=headers, - ) - res = res.json() - - return self.parse_results(res) - - @staticmethod - def parse_results(res: dict) -> str: - """Process response from Serply Web Search.""" - results = res.get("results", []) - if not res or "results" not in res: - raise ValueError(f"Got error from Serply: {res}") - - string = [] - for result in results: - try: - string.append( - "\n".join( - [ - f"Title: {result['title']}", - f"Link: {result['link']}", - f"Description: {result['description'].strip()}", - "---", - ] - ) - ) - except KeyError: - continue - - if related_questions := res.get("related_questions", []): - string.append("---") - string.append("Related Questions: ") - string.append("\n".join(related_questions)) - - content = "\n".join(string) - return f"\nSearch results:\n {content}\n" - - -class WebSearchTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, typing.Any], - ) -> typing.Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - Invoke the SerplyApi tool. - """ - query = tool_parameters["query"] - num = tool_parameters.get("num", 10) - gl = tool_parameters.get("gl", "us") - hl = tool_parameters.get("hl", "en") - location = tool_parameters.get("location", "None") - - api_key = self.runtime.credentials["serply_api_key"] - result = SerplyApi(api_key).run(query=query, num=num, gl=gl, hl=hl, location=location) - return self.create_text_message(text=result) diff --git a/api/core/tools/provider/builtin/websearch/tools/web_search.yaml b/api/core/tools/provider/builtin/websearch/tools/web_search.yaml deleted file mode 100644 index 055029253c1753..00000000000000 --- a/api/core/tools/provider/builtin/websearch/tools/web_search.yaml +++ /dev/null @@ -1,376 +0,0 @@ -identity: - name: web_search - author: Dify - label: - en_US: Web Search API - zh_Hans: Web Search API -description: - human: - en_US: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine. - zh_Hans: 一种从 Google 搜索引擎检索答案框、知识图、片段和网页的工具。 - llm: A tool to retrieve answer boxes, knowledge graphs, snippets, and webpages from Google Search engine. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 询问 - human_description: - en_US: Defines the query you want to search. - zh_Hans: 定义您要搜索的查询。 - llm_description: Defines the search query you want to search. - form: llm - - name: location - type: string - required: false - default: US - label: - en_US: Location - zh_Hans: 询问 - human_description: - en_US: Defines from where you want the search to originate. (For example - New York) - zh_Hans: 定义您想要搜索的起始位置。 （例如 - 纽约） - llm_description: Defines from where you want the search to originate. (For example - New York) - form: form - options: - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - value: JP - label: - en_US: Japan - zh_Hans: 日本 - pt_BR: Japan - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden - - name: device - type: select - label: - en_US: Device Type - zh_Hans: 汉斯先生 - human_description: - en_US: Defines the device to make interface search. Default is "desktop". - zh_Hans: 定义进行接口搜索的设备。默认为“桌面” - required: false - default: desktop - form: form - options: - - value: desktop - label: - en_US: Desktop - zh_Hans: 桌面 - - value: mobile - label: - en_US: Mobile - zh_Hans: 移动的 - - name: gl - type: select - label: - en_US: Country - zh_Hans: 国家/地区 - required: false - human_description: - en_US: Defines the country of the search. Default is "US". - zh_Hans: 定义搜索的国家/地区。默认为“美国”。 - llm_description: Defines the gl parameter of the Google search. - form: form - default: US - options: - - value: AU - label: - en_US: Australia - zh_Hans: 澳大利亚 - pt_BR: Australia - - value: BR - label: - en_US: Brazil - zh_Hans: 巴西 - pt_BR: Brazil - - value: CA - label: - en_US: Canada - zh_Hans: 加拿大 - pt_BR: Canada - - value: DE - label: - en_US: Germany - zh_Hans: 德国 - pt_BR: Germany - - value: FR - label: - en_US: France - zh_Hans: 法国 - pt_BR: France - - value: GB - label: - en_US: United Kingdom - zh_Hans: 英国 - pt_BR: United Kingdom - - value: IN - label: - en_US: India - zh_Hans: 印度 - pt_BR: India - - value: KR - label: - en_US: Korea - zh_Hans: 韩国 - pt_BR: Korea - - value: SE - label: - en_US: Sweden - zh_Hans: 瑞典 - pt_BR: Sweden - - value: SG - label: - en_US: Singapore - zh_Hans: 新加坡 - pt_BR: Singapore - - value: US - label: - en_US: United States - zh_Hans: 美国 - pt_BR: United States - - name: hl - type: select - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: Defines the interface language of the search. Default is "en". - zh_Hans: 定义搜索的界面语言。默认为“en”。 - required: false - default: en - form: form - options: - - value: ar - label: - en_US: Arabic - zh_Hans: 阿拉伯语 - - value: bg - label: - en_US: Bulgarian - zh_Hans: 保加利亚语 - - value: ca - label: - en_US: Catalan - zh_Hans: 加泰罗尼亚语 - - value: zh-cn - label: - en_US: Chinese (Simplified) - zh_Hans: 中文（简体） - - value: zh-tw - label: - en_US: Chinese (Traditional) - zh_Hans: 中文（繁体） - - value: cs - label: - en_US: Czech - zh_Hans: 捷克语 - - value: da - label: - en_US: Danish - zh_Hans: 丹麦语 - - value: nl - label: - en_US: Dutch - zh_Hans: 荷兰语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: et - label: - en_US: Estonian - zh_Hans: 爱沙尼亚语 - - value: fi - label: - en_US: Finnish - zh_Hans: 芬兰语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: el - label: - en_US: Greek - zh_Hans: 希腊语 - - value: iw - label: - en_US: Hebrew - zh_Hans: 希伯来语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: hu - label: - en_US: Hungarian - zh_Hans: 匈牙利语 - - value: id - label: - en_US: Indonesian - zh_Hans: 印尼语 - - value: it - label: - en_US: Italian - zh_Hans: 意大利语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: kn - label: - en_US: Kannada - zh_Hans: 卡纳达语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: lv - label: - en_US: Latvian - zh_Hans: 拉脱维亚语 - - value: lt - label: - en_US: Lithuanian - zh_Hans: 立陶宛语 - - value: my - label: - en_US: Malay - zh_Hans: 马来语 - - value: ml - label: - en_US: Malayalam - zh_Hans: 马拉雅拉姆语 - - value: mr - label: - en_US: Marathi - zh_Hans: 马拉地语 - - value: "no" - label: - en_US: Norwegian - zh_Hans: 挪威语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt-br - label: - en_US: Portuguese (Brazil) - zh_Hans: 葡萄牙语（巴西） - - value: pt-pt - label: - en_US: Portuguese (Portugal) - zh_Hans: 葡萄牙语（葡萄牙） - - value: pa - label: - en_US: Punjabi - zh_Hans: 旁遮普语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: ru - label: - en_US: Russian - zh_Hans: 俄语 - - value: sr - label: - en_US: Serbian - zh_Hans: 塞尔维亚语 - - value: sk - label: - en_US: Slovak - zh_Hans: 斯洛伐克语 - - value: sl - label: - en_US: Slovenian - zh_Hans: 斯洛文尼亚语 - - value: es - label: - en_US: Spanish - zh_Hans: 西班牙语 - - value: sv - label: - en_US: Swedish - zh_Hans: 瑞典语 - - value: ta - label: - en_US: Tamil - zh_Hans: 泰米尔语 - - value: te - label: - en_US: Telugu - zh_Hans: 泰卢固语 - - value: th - label: - en_US: Thai - zh_Hans: 泰语 - - value: tr - label: - en_US: Turkish - zh_Hans: 土耳其语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 diff --git a/api/core/tools/provider/builtin/websearch/websearch.py b/api/core/tools/provider/builtin/websearch/websearch.py deleted file mode 100644 index 90cc0c573ac97e..00000000000000 --- a/api/core/tools/provider/builtin/websearch/websearch.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.websearch.tools.web_search import WebSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class WebSearchAPIProvider(BuiltinToolProviderController): - # validate when saving the api_key - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - WebSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={"query": "what is llm"}, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/websearch/websearch.yaml b/api/core/tools/provider/builtin/websearch/websearch.yaml deleted file mode 100644 index c4267e1022dfa1..00000000000000 --- a/api/core/tools/provider/builtin/websearch/websearch.yaml +++ /dev/null @@ -1,34 +0,0 @@ -identity: - name: websearch - author: Serply.io - label: - en_US: Serply.io - zh_Hans: Serply.io - pt_BR: Serply.io - description: - en_US: Serply.io is a robust real-time SERP API delivering structured data from a collection of search engines including Web Search, Jobs, News, and many more. - zh_Hans: Serply.io 是一个强大的实时 SERP API，可提供来自 搜索 招聘 新闻等搜索引擎集合的结构化数据。 - pt_BR: Serply.io is a robust real-time SERP API delivering structured data from a collection of search engines including Web Search, Jobs, News, and many more. - icon: icon.svg - tags: - - search - - business - - news - - productivity -credentials_for_provider: - serply_api_key: - type: secret-input - required: true - label: - en_US: Serply.io API key - zh_Hans: Serply.io API key - pt_BR: Serply.io API key - placeholder: - en_US: Please input your Serply.io API key - zh_Hans: 请输入你的 Serply.io API key - pt_BR: Please input your Serply.io API key - help: - en_US: Get your Serply.io API key from https://Serply.io/ - zh_Hans: 从 Serply.io 获取您的 Serply.io API key - pt_BR: Get your Serply.io API 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zaK8|{^HsxS1I>0}VE2aO?v4(_{@ToeD`dYX#39ts>bf{>o26%vDz3Zo<%{6=ZpMs& zQn_S}cS_`MhwPe4zTV%|qn!#EJn*eQ6*d>XVD154kiZbrAa;kkQ$rYHcSXJDx9OI9ObIN%JPldN{tqk*dsKtdaLh*KFs) jX&3#w=>?RVRhuHlX1xbR)vItE;Lj Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - hook_key = tool_parameters.get("hook_key", "") - if not is_valid_uuid(hook_key): - return self.create_text_message(f"Invalid parameter hook_key ${hook_key}, not a valid UUID") - - message_type = tool_parameters.get("message_type", "text") - if message_type == "markdown": - payload = { - "msgtype": "markdown", - "markdown": { - "content": content, - }, - } - else: - payload = { - "msgtype": "text", - "text": { - "content": content, - }, - } - api_url = "https://qyapi.weixin.qq.com/cgi-bin/webhook/send" - headers = { - "Content-Type": "application/json", - } - params = { - "key": hook_key, - } - - try: - res = httpx.post(api_url, headers=headers, params=params, json=payload) - if res.is_success: - return self.create_text_message("Text message sent successfully") - else: - return self.create_text_message( - f"Failed to send the text message, status code: {res.status_code}, response: {res.text}" - ) - except Exception as e: - return self.create_text_message("Failed to send message to group chat bot. {}".format(e)) diff --git a/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.yaml b/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.yaml deleted file mode 100644 index 379005a1021420..00000000000000 --- a/api/core/tools/provider/builtin/wecom/tools/wecom_group_bot.yaml +++ /dev/null @@ -1,64 +0,0 @@ -identity: - name: wecom_group_bot - author: Bowen Liang - label: - en_US: Send Group Message - zh_Hans: 发送群消息 - pt_BR: Send Group Message - icon: icon.svg -description: - human: - en_US: Sending a group message on Wecom via the webhook of group bot - zh_Hans: 通过企业微信的群机器人webhook发送群消息 - pt_BR: Sending a group message on Wecom via the webhook of group bot - llm: A tool for sending messages to a chat group on Wecom(企业微信) . -parameters: - - name: hook_key - type: secret-input - required: true - label: - en_US: Wecom Group bot webhook key - zh_Hans: 群机器人webhook的key - pt_BR: Wecom Group bot webhook key - human_description: - en_US: Wecom Group bot webhook key - zh_Hans: 群机器人webhook的key - pt_BR: Wecom Group bot webhook key - form: form - - name: content - type: string - required: true - label: - en_US: content - zh_Hans: 消息内容 - pt_BR: content - human_description: - en_US: Content to sent to the group. - zh_Hans: 群消息文本 - pt_BR: Content to sent to the group. - llm_description: Content of the message - form: llm - - name: message_type - type: select - default: text - required: true - label: - en_US: Wecom Group bot message type - zh_Hans: 群机器人webhook的消息类型 - pt_BR: Wecom Group bot message type - human_description: - en_US: Wecom Group bot message type - zh_Hans: 群机器人webhook的消息类型 - pt_BR: Wecom Group bot message type - options: - - value: text - label: - en_US: Text - zh_Hans: 文本 - pt_BR: Text - - value: markdown - label: - en_US: Markdown - zh_Hans: Markdown - pt_BR: Markdown - form: form diff --git a/api/core/tools/provider/builtin/wecom/wecom.py b/api/core/tools/provider/builtin/wecom/wecom.py deleted file mode 100644 index 573f76ee56da67..00000000000000 --- a/api/core/tools/provider/builtin/wecom/wecom.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin.wecom.tools.wecom_group_bot import WecomGroupBotTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class WecomProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - WecomGroupBotTool() diff --git a/api/core/tools/provider/builtin/wecom/wecom.yaml b/api/core/tools/provider/builtin/wecom/wecom.yaml deleted file mode 100644 index a544055ba4cb67..00000000000000 --- a/api/core/tools/provider/builtin/wecom/wecom.yaml +++ /dev/null @@ -1,15 +0,0 @@ -identity: - author: Bowen Liang - name: wecom - label: - en_US: Wecom - zh_Hans: 企业微信 - pt_BR: Wecom - description: - en_US: Wecom group bot - zh_Hans: 企业微信群机器人 - pt_BR: Wecom group bot - icon: icon.png - tags: - - social -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/wikipedia/_assets/icon.svg b/api/core/tools/provider/builtin/wikipedia/_assets/icon.svg deleted file mode 100644 index fe652aacf9c871..00000000000000 --- a/api/core/tools/provider/builtin/wikipedia/_assets/icon.svg +++ /dev/null @@ -1,3 +0,0 @@ - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.py b/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.py deleted file mode 100644 index edb96e722f7f33..00000000000000 --- a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.py +++ /dev/null @@ -1,105 +0,0 @@ -from typing import Any, Optional, Union - -import wikipedia # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -WIKIPEDIA_MAX_QUERY_LENGTH = 300 - - -class WikipediaAPIWrapper: - """Wrapper around WikipediaAPI. - - To use, you should have the ``wikipedia`` python package installed. - This wrapper will use the Wikipedia API to conduct searches and - fetch page summaries. By default, it will return the page summaries - of the top-k results. - It limits the Document content by doc_content_chars_max. - """ - - top_k_results: int = 3 - lang: str = "en" - load_all_available_meta: bool = False - doc_content_chars_max: int = 4000 - - def __init__(self, doc_content_chars_max: int = 4000): - self.doc_content_chars_max = doc_content_chars_max - - def run(self, query: str, lang: str = "") -> str: - if lang in wikipedia.languages(): - self.lang = lang - - wikipedia.set_lang(self.lang) - wiki_client = wikipedia - - """Run Wikipedia search and get page summaries.""" - page_titles = wiki_client.search(query[:WIKIPEDIA_MAX_QUERY_LENGTH]) - summaries = [] - for page_title in page_titles[: self.top_k_results]: - if wiki_page := self._fetch_page(page_title): - if summary := self._formatted_page_summary(page_title, wiki_page): - summaries.append(summary) - if not summaries: - return "No good Wikipedia Search Result was found" - return "\n\n".join(summaries)[: self.doc_content_chars_max] - - @staticmethod - def _formatted_page_summary(page_title: str, wiki_page: Any) -> Optional[str]: - return f"Page: {page_title}\nSummary: {wiki_page.summary}" - - def _fetch_page(self, page: str) -> Optional[str]: - try: - return wikipedia.page(title=page, auto_suggest=False) - except ( - wikipedia.exceptions.PageError, - wikipedia.exceptions.DisambiguationError, - ): - return None - - -class WikipediaQueryRun: - """Tool that searches the Wikipedia API.""" - - name = "Wikipedia" - description = ( - "A wrapper around Wikipedia. " - "Useful for when you need to answer general questions about " - "people, places, companies, facts, historical events, or other subjects. " - "Input should be a search query." - ) - api_wrapper: WikipediaAPIWrapper - - def __init__(self, api_wrapper: WikipediaAPIWrapper): - self.api_wrapper = api_wrapper - - def _run( - self, - query: str, - lang: str = "", - ) -> str: - """Use the Wikipedia tool.""" - return self.api_wrapper.run(query, lang) - - -class WikiPediaSearchTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - query = tool_parameters.get("query", "") - lang = tool_parameters.get("language", "") - if not query: - return self.create_text_message("Please input query") - - tool = WikipediaQueryRun( - api_wrapper=WikipediaAPIWrapper(doc_content_chars_max=4000), - ) - - result = tool._run(query, lang) - - return self.create_text_message(self.summary(user_id=user_id, content=result)) diff --git a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml b/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml deleted file mode 100644 index 98d002df1c0daa..00000000000000 --- a/api/core/tools/provider/builtin/wikipedia/tools/wikipedia_search.yaml +++ /dev/null @@ -1,101 +0,0 @@ -identity: - name: wikipedia_search - author: Dify - label: - en_US: WikipediaSearch - zh_Hans: 维基百科搜索 - pt_BR: WikipediaSearch - icon: icon.svg -description: - human: - en_US: A tool for performing a Wikipedia search and extracting snippets and webpages. - zh_Hans: 一个用于执行维基百科搜索并提取片段和网页的工具。 - pt_BR: A tool for performing a Wikipedia search and extracting snippets and webpages. - llm: A tool for performing a Wikipedia search and extracting snippets and webpages. Input should be a search query. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - pt_BR: Query string - human_description: - en_US: key words for searching - zh_Hans: 查询关键词 - pt_BR: key words for searching - llm_description: key words for searching, this should be in the language of "language" parameter - form: llm - - name: language - type: string - required: true - label: - en_US: Language - zh_Hans: 语言 - human_description: - en_US: The language of the Wikipedia to be searched - zh_Hans: 要搜索的维基百科语言 - llm_description: >- - language of the wikipedia to be searched, - only "de" for German, - "en" for English, - "fr" for French, - "hi" for Hindi, - "ja" for Japanese, - "ko" for Korean, - "pl" for Polish, - "pt" for Portuguese, - "ro" for Romanian, - "uk" for Ukrainian, - "vi" for Vietnamese, - and "zh" for Chinese are supported - form: llm - options: - - value: de - label: - en_US: German - zh_Hans: 德语 - - value: en - label: - en_US: English - zh_Hans: 英语 - - value: fr - label: - en_US: French - zh_Hans: 法语 - - value: hi - label: - en_US: Hindi - zh_Hans: 印地语 - - value: ja - label: - en_US: Japanese - zh_Hans: 日语 - - value: ko - label: - en_US: Korean - zh_Hans: 韩语 - - value: pl - label: - en_US: Polish - zh_Hans: 波兰语 - - value: pt - label: - en_US: Portuguese - zh_Hans: 葡萄牙语 - - value: ro - label: - en_US: Romanian - zh_Hans: 罗马尼亚语 - - value: uk - label: - en_US: Ukrainian - zh_Hans: 乌克兰语 - - value: vi - label: - en_US: Vietnamese - zh_Hans: 越南语 - - value: zh - label: - en_US: Chinese - zh_Hans: 中文 diff --git a/api/core/tools/provider/builtin/wikipedia/wikipedia.py b/api/core/tools/provider/builtin/wikipedia/wikipedia.py deleted file mode 100644 index 178bf7b0ceb2e9..00000000000000 --- a/api/core/tools/provider/builtin/wikipedia/wikipedia.py +++ /dev/null @@ -1,20 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.wikipedia.tools.wikipedia_search import WikiPediaSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class WikiPediaProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - WikiPediaSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "query": "misaka mikoto", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml b/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml deleted file mode 100644 index c5828240225d00..00000000000000 --- a/api/core/tools/provider/builtin/wikipedia/wikipedia.yaml +++ /dev/null @@ -1,15 +0,0 @@ -identity: - author: Dify - name: wikipedia - label: - en_US: Wikipedia - zh_Hans: 维基百科 - pt_BR: Wikipedia - description: - en_US: Wikipedia is a free online encyclopedia, created and edited by volunteers around the world. - zh_Hans: 维基百科是一个由全世界的志愿者创建和编辑的免费在线百科全书。 - pt_BR: Wikipedia is a free online encyclopedia, created and edited by volunteers around the world. - icon: icon.svg - tags: - - social -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/wolframalpha/_assets/icon.svg b/api/core/tools/provider/builtin/wolframalpha/_assets/icon.svg deleted file mode 100644 index 2caf32ee67be0a..00000000000000 --- a/api/core/tools/provider/builtin/wolframalpha/_assets/icon.svg +++ /dev/null @@ -1,23 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py deleted file mode 100644 index 9b24be7cab81eb..00000000000000 --- a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py +++ /dev/null @@ -1,72 +0,0 @@ -from typing import Any, Union - -from httpx import get - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolInvokeError, ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class WolframAlphaTool(BuiltinTool): - _base_url = "https://api.wolframalpha.com/v2/query" - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - query = tool_parameters.get("query", "") - if not query: - return self.create_text_message("Please input query") - appid = self.runtime.credentials.get("appid", "") - if not appid: - raise ToolProviderCredentialValidationError("Please input appid") - - params = {"appid": appid, "input": query, "includepodid": "Result", "format": "plaintext", "output": "json"} - - finished = False - result = None - # try 3 times at most - counter = 0 - - while not finished and counter < 3: - counter += 1 - try: - response = get(self._base_url, params=params, timeout=20) - response.raise_for_status() - response_data = response.json() - except Exception as e: - raise ToolInvokeError(str(e)) - - if "success" not in response_data["queryresult"] or response_data["queryresult"]["success"] != True: - query_result = response_data.get("queryresult", {}) - if query_result.get("error"): - if "msg" in query_result["error"]: - if query_result["error"]["msg"] == "Invalid appid": - raise ToolProviderCredentialValidationError("Invalid appid") - raise ToolInvokeError("Failed to invoke tool") - - if "didyoumeans" in response_data["queryresult"]: - # get the most likely interpretation - query = "" - max_score = 0 - for didyoumean in response_data["queryresult"]["didyoumeans"]: - if float(didyoumean["score"]) > max_score: - query = didyoumean["val"] - max_score = float(didyoumean["score"]) - - params["input"] = query - else: - finished = True - if "sources" in response_data["queryresult"]: - return self.create_link_message(response_data["queryresult"]["sources"]["url"]) - elif "pods" in response_data["queryresult"]: - result = response_data["queryresult"]["pods"][0]["subpods"][0]["plaintext"] - - if not finished or not result: - return self.create_text_message("No result found") - - return self.create_text_message(result) diff --git a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml deleted file mode 100644 index 08b5668691e23a..00000000000000 --- a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.yaml +++ /dev/null @@ -1,27 +0,0 @@ -identity: - name: wolframalpha - author: Dify - label: - en_US: WolframAlpha - zh_Hans: WolframAlpha - pt_BR: WolframAlpha -description: - human: - en_US: WolframAlpha is a powerful computational knowledge engine. - zh_Hans: WolframAlpha 是一个强大的计算知识引擎。 - pt_BR: WolframAlpha is a powerful computational knowledge engine. - llm: WolframAlpha is a powerful computational knowledge engine. one single query can get the answer of a question. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 计算语句 - pt_BR: Query string - human_description: - en_US: used for calculating - zh_Hans: 用于计算最终结果 - pt_BR: used for calculating - llm_description: a single query for calculating - form: llm diff --git a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.py b/api/core/tools/provider/builtin/wolframalpha/wolframalpha.py deleted file mode 100644 index 7be288b5387f34..00000000000000 --- a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.wolframalpha.tools.wolframalpha import WolframAlphaTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class GoogleProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - WolframAlphaTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "query": "1+2+....+111", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml b/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml deleted file mode 100644 index 91265eb3c00d0a..00000000000000 --- a/api/core/tools/provider/builtin/wolframalpha/wolframalpha.yaml +++ /dev/null @@ -1,32 +0,0 @@ -identity: - author: Dify - name: wolframalpha - label: - en_US: WolframAlpha - zh_Hans: WolframAlpha - pt_BR: WolframAlpha - description: - en_US: WolframAlpha is a powerful computational knowledge engine. - zh_Hans: WolframAlpha 是一个强大的计算知识引擎。 - pt_BR: WolframAlpha is a powerful computational knowledge engine. - icon: icon.svg - tags: - - productivity - - utilities -credentials_for_provider: - appid: - type: secret-input - required: 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-from base64 import b64decode, b64encode -from copy import deepcopy -from typing import Any, Union - -from httpx import get, post -from PIL import Image -from yarl import URL - -from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ( - ToolInvokeMessage, - ToolParameter, - ToolParameterOption, -) -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - -# All commented out parameters default to null -DRAW_TEXT_OPTIONS = { - # Prompts - "prompt": "", - "negative_prompt": "", - # "styles": [], - # Seeds - "seed": -1, - "subseed": -1, - "subseed_strength": 0, - "seed_resize_from_h": -1, - "seed_resize_from_w": -1, - # Samplers - "sampler_name": "DPM++ 2M", - # "scheduler": "", - # "sampler_index": "Automatic", - # Latent Space Options - "batch_size": 1, - "n_iter": 1, - "steps": 10, - "cfg_scale": 7, - "width": 512, - "height": 512, - # "restore_faces": True, - # "tiling": True, - "do_not_save_samples": False, - "do_not_save_grid": False, - # "eta": 0, - # "denoising_strength": 0.75, - # "s_min_uncond": 0, - # "s_churn": 0, - # "s_tmax": 0, - # "s_tmin": 0, - # "s_noise": 0, - "override_settings": {}, - "override_settings_restore_afterwards": True, - # Refinement Options - "refiner_checkpoint": "", - "refiner_switch_at": 0, - "disable_extra_networks": False, - # "firstpass_image": "", - # "comments": "", - # High-Resolution Options - "enable_hr": False, - "firstphase_width": 0, - "firstphase_height": 0, - "hr_scale": 2, - # "hr_upscaler": "", - "hr_second_pass_steps": 0, - "hr_resize_x": 0, - "hr_resize_y": 0, - # "hr_checkpoint_name": "", - # "hr_sampler_name": "", - # "hr_scheduler": "", - "hr_prompt": "", - "hr_negative_prompt": "", - # Task Options - # "force_task_id": "", - # Script Options - # "script_name": "", - "script_args": [], - # Output Options - "send_images": True, - "save_images": False, - "alwayson_scripts": {}, - # "infotext": "", -} - - -class StableDiffusionTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # base url - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return self.create_text_message("Please input base_url") - - if tool_parameters.get("model"): - self.runtime.credentials["model"] = tool_parameters["model"] - - model = self.runtime.credentials.get("model", None) - if not model: - return self.create_text_message("Please input model") - api_key = self.runtime.credentials.get("api_key") or "abc" - headers = {"Authorization": f"Bearer {api_key}"} - # set model - try: - url = str(URL(base_url) / "sdapi" / "v1" / "options") - response = post( - url, - json={"sd_model_checkpoint": model}, - headers=headers, - ) - if response.status_code != 200: - raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model") - except Exception as e: - raise ToolProviderCredentialValidationError("Failed to set model, please tell user to set model") - - # get image id and image variable - image_id = tool_parameters.get("image_id", "") - image_variable = self.get_default_image_variable() - # Return text2img if there's no image ID or no image variable - if not image_id or not image_variable: - return self.text2img(base_url=base_url, tool_parameters=tool_parameters) - - # Proceed with image-to-image generation - return self.img2img(base_url=base_url, tool_parameters=tool_parameters) - - def validate_models(self): - """ - validate models - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - raise ToolProviderCredentialValidationError("Please input base_url") - model = self.runtime.credentials.get("model", None) - if not model: - raise ToolProviderCredentialValidationError("Please input model") - - api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models") - response = get(url=api_url, timeout=10) - if response.status_code == 404: - # try draw a picture - self._invoke( - user_id="test", - tool_parameters={ - "prompt": "a cat", - "width": 1024, - "height": 1024, - "steps": 1, - "lora": "", - }, - ) - elif response.status_code != 200: - raise ToolProviderCredentialValidationError("Failed to get models") - else: - models = [d["model_name"] for d in response.json()] - if len([d for d in models if d == model]) > 0: - return self.create_text_message(json.dumps(models)) - else: - raise ToolProviderCredentialValidationError(f"model {model} does not exist") - except Exception as e: - raise ToolProviderCredentialValidationError(f"Failed to get models, {e}") - - def get_sd_models(self) -> list[str]: - """ - get sd models - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return [] - api_url = str(URL(base_url) / "sdapi" / "v1" / "sd-models") - response = get(url=api_url, timeout=120) - if response.status_code != 200: - return [] - else: - return [d["model_name"] for d in response.json()] - except Exception as e: - return [] - - def get_sample_methods(self) -> list[str]: - """ - get sample method - """ - try: - base_url = self.runtime.credentials.get("base_url", None) - if not base_url: - return [] - api_url = str(URL(base_url) / "sdapi" / "v1" / "samplers") - response = get(url=api_url, timeout=120) - if response.status_code != 200: - return [] - else: - return [d["name"] for d in response.json()] - except Exception as e: - return [] - - def img2img( - self, base_url: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - generate image - """ - - # Fetch the binary data of the image - image_variable = self.get_default_image_variable() - image_binary = self.get_variable_file(image_variable.name) - if not image_binary: - return self.create_text_message("Image not found, please request user to generate image firstly.") - - # Convert image to RGB and save as PNG - try: - with Image.open(io.BytesIO(image_binary)) as image, io.BytesIO() as buffer: - image.convert("RGB").save(buffer, format="PNG") - image_binary = buffer.getvalue() - except Exception as e: - return self.create_text_message(f"Failed to process the image: {str(e)}") - - # copy draw options - draw_options = deepcopy(DRAW_TEXT_OPTIONS) - # set image options - model = tool_parameters.get("model", "") - draw_options_image = { - "init_images": [b64encode(image_binary).decode("utf-8")], - "denoising_strength": 0.9, - "restore_faces": False, - "script_args": [], - "override_settings": {"sd_model_checkpoint": model}, - "resize_mode": 0, - "image_cfg_scale": 0, - # "mask": None, - "mask_blur_x": 4, - "mask_blur_y": 4, - "mask_blur": 0, - "mask_round": True, - "inpainting_fill": 0, - "inpaint_full_res": True, - "inpaint_full_res_padding": 0, - "inpainting_mask_invert": 0, - "initial_noise_multiplier": 0, - # "latent_mask": None, - "include_init_images": True, - } - # update key and values - draw_options.update(draw_options_image) - draw_options.update(tool_parameters) - - # get prompt lora model - prompt = tool_parameters.get("prompt", "") - lora = tool_parameters.get("lora", "") - model = tool_parameters.get("model", "") - if lora: - draw_options["prompt"] = f"{lora},{prompt}" - else: - draw_options["prompt"] = prompt - api_key = self.runtime.credentials.get("api_key") or "abc" - headers = {"Authorization": f"Bearer {api_key}"} - try: - url = str(URL(base_url) / "sdapi" / "v1" / "img2img") - response = post( - url, - json=draw_options, - timeout=120, - headers=headers, - ) - if response.status_code != 200: - return self.create_text_message("Failed to generate image") - - image = response.json()["images"][0] - - return self.create_blob_message( - blob=b64decode(image), - meta={"mime_type": "image/png"}, - save_as=self.VariableKey.IMAGE.value, - ) - - except Exception as e: - return self.create_text_message("Failed to generate image") - - def text2img( - self, base_url: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - generate image - """ - # copy draw options - draw_options = deepcopy(DRAW_TEXT_OPTIONS) - draw_options.update(tool_parameters) - # get prompt lora model - prompt = tool_parameters.get("prompt", "") - lora = tool_parameters.get("lora", "") - model = tool_parameters.get("model", "") - if lora: - draw_options["prompt"] = f"{lora},{prompt}" - else: - draw_options["prompt"] = prompt - draw_options["override_settings"]["sd_model_checkpoint"] = model - api_key = self.runtime.credentials.get("api_key") or "abc" - headers = {"Authorization": f"Bearer {api_key}"} - try: - url = str(URL(base_url) / "sdapi" / "v1" / "txt2img") - response = post( - url, - json=draw_options, - timeout=120, - headers=headers, - ) - if response.status_code != 200: - return self.create_text_message("Failed to generate image") - - image = response.json()["images"][0] - - return self.create_blob_message( - blob=b64decode(image), - meta={"mime_type": "image/png"}, - save_as=self.VariableKey.IMAGE.value, - ) - - except Exception as e: - return self.create_text_message("Failed to generate image") - - def get_runtime_parameters(self) -> list[ToolParameter]: - parameters = [ - ToolParameter( - name="prompt", - label=I18nObject(en_US="Prompt", zh_Hans="Prompt"), - human_description=I18nObject( - en_US="Image prompt, you can check the official documentation of Stable Diffusion", - zh_Hans="图像提示词，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.STRING, - form=ToolParameter.ToolParameterForm.LLM, - llm_description="Image prompt of Stable Diffusion, you should describe the image you want to generate" - " as a list of words as possible as detailed, the prompt must be written in English.", - required=True, - ), - ] - if len(self.list_default_image_variables()) != 0: - parameters.append( - ToolParameter( - name="image_id", - label=I18nObject(en_US="image_id", zh_Hans="image_id"), - human_description=I18nObject( - en_US="Image id of the image you want to generate based on, if you want to generate image based" - " on the default image, you can leave this field empty.", - zh_Hans="您想要生成的图像的图像 ID，如果您想要基于默认图像生成图像，则可以将此字段留空。", - ), - type=ToolParameter.ToolParameterType.STRING, - form=ToolParameter.ToolParameterForm.LLM, - llm_description="Image id of the original image, you can leave this field empty if you want to" - " generate a new image.", - required=True, - options=[ - ToolParameterOption(value=i.name, label=I18nObject(en_US=i.name, zh_Hans=i.name)) - for i in self.list_default_image_variables() - ], - ) - ) - - if self.runtime.credentials: - try: - models = self.get_sd_models() - if len(models) != 0: - parameters.append( - ToolParameter( - name="model", - label=I18nObject(en_US="Model", zh_Hans="Model"), - human_description=I18nObject( - en_US="Model of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - zh_Hans="Stable Diffusion 的模型，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Model of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - required=True, - default=models[0], - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in models - ], - ) - ) - - except: - pass - - sample_methods = self.get_sample_methods() - if len(sample_methods) != 0: - parameters.append( - ToolParameter( - name="sampler_name", - label=I18nObject(en_US="Sampling method", zh_Hans="Sampling method"), - human_description=I18nObject( - en_US="Sampling method of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - zh_Hans="Stable Diffusion 的Sampling method，您可以查看 Stable Diffusion 的官方文档", - ), - type=ToolParameter.ToolParameterType.SELECT, - form=ToolParameter.ToolParameterForm.FORM, - llm_description="Sampling method of Stable Diffusion, you can check the official documentation" - " of Stable Diffusion", - required=True, - default=sample_methods[0], - options=[ - ToolParameterOption(value=i, label=I18nObject(en_US=i, zh_Hans=i)) for i in sample_methods - ], - ) - ) - return parameters diff --git a/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.yaml b/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.yaml deleted file mode 100644 index 4f1d17f175c567..00000000000000 --- a/api/core/tools/provider/builtin/xinference/tools/stable_diffusion.yaml +++ /dev/null @@ -1,87 +0,0 @@ -identity: - name: stable_diffusion - author: xinference - label: - en_US: Stable Diffusion - zh_Hans: Stable Diffusion -description: - human: - en_US: Generate images using Stable Diffusion models. - zh_Hans: 使用 Stable Diffusion 模型生成图片。 - llm: draw the image you want based on your prompt. -parameters: - - name: prompt - type: string - required: true - label: - en_US: Prompt - zh_Hans: 提示词 - human_description: - en_US: Image prompt - zh_Hans: 图像提示词 - llm_description: Image prompt of Stable Diffusion, you should describe the image you want to generate as a list of words as possible as detailed, the prompt must be written in English. - form: llm - - name: model - type: string - required: false - label: - en_US: Model Name - zh_Hans: 模型名称 - human_description: - en_US: Model Name - zh_Hans: 模型名称 - form: form - - name: lora - type: string - required: false - label: - en_US: Lora - zh_Hans: Lora - human_description: - en_US: Lora - zh_Hans: Lora - form: form - - name: steps - type: number - required: false - label: - en_US: Steps - zh_Hans: Steps - human_description: - en_US: Steps - zh_Hans: Steps - form: form - default: 10 - - name: width - type: number - required: false - label: - en_US: Width - zh_Hans: Width - human_description: - en_US: Width - zh_Hans: Width - form: form - default: 1024 - - name: height - type: number - required: false - label: - en_US: Height - zh_Hans: Height - human_description: - en_US: Height - zh_Hans: Height - form: form - default: 1024 - - name: negative_prompt - type: string - required: false - label: - en_US: Negative prompt - zh_Hans: Negative prompt - human_description: - en_US: Negative prompt - zh_Hans: Negative prompt - form: form - default: bad art, ugly, deformed, watermark, duplicated, discontinuous lines diff --git a/api/core/tools/provider/builtin/xinference/xinference.py b/api/core/tools/provider/builtin/xinference/xinference.py deleted file mode 100644 index 9692e4060e8a87..00000000000000 --- a/api/core/tools/provider/builtin/xinference/xinference.py +++ /dev/null @@ -1,24 +0,0 @@ -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class XinferenceProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - base_url = credentials.get("base_url", "").removesuffix("/") - api_key = credentials.get("api_key", "") - if not api_key: - api_key = "abc" - credentials["api_key"] = api_key - model = credentials.get("model", "") - if not base_url or not model: - raise ToolProviderCredentialValidationError("Xinference base_url and model is required") - headers = {"Authorization": f"Bearer {api_key}"} - res = requests.post( - f"{base_url}/sdapi/v1/options", - headers=headers, - json={"sd_model_checkpoint": model}, - ) - if res.status_code != 200: - raise ToolProviderCredentialValidationError("Xinference API key is invalid") diff --git a/api/core/tools/provider/builtin/xinference/xinference.yaml b/api/core/tools/provider/builtin/xinference/xinference.yaml deleted file mode 100644 index b0c02b9cbcb01a..00000000000000 --- a/api/core/tools/provider/builtin/xinference/xinference.yaml +++ /dev/null @@ -1,40 +0,0 @@ -identity: - author: xinference - name: xinference - label: - en_US: Xinference - zh_Hans: Xinference - description: - zh_Hans: Xinference 提供的兼容 Stable Diffusion web ui 的图片生成 API。 - en_US: Stable Diffusion web ui compatible API provided by Xinference. - icon: icon.png - tags: - - image -credentials_for_provider: - base_url: - type: secret-input - required: true - label: - en_US: Base URL - zh_Hans: Xinference 服务器的 Base URL - placeholder: - en_US: Please input Xinference server's Base URL - zh_Hans: 请输入 Xinference 服务器的 Base URL - model: - type: text-input - required: true - label: - en_US: Model - zh_Hans: 模型 - placeholder: - en_US: Please input your model name - zh_Hans: 请输入你的模型名称 - api_key: - type: secret-input - required: false - label: - en_US: API Key - zh_Hans: Xinference 服务器的 API Key - placeholder: - en_US: Please input Xinference server's API Key - zh_Hans: 请输入 Xinference 服务器的 API Key diff --git a/api/core/tools/provider/builtin/yahoo/_assets/icon.png b/api/core/tools/provider/builtin/yahoo/_assets/icon.png deleted file mode 100644 index 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z_J-97@@oPP%c9^z=%*LBMF*$2z!Yw!h=}%lKH>Rp@CR~{rG@n7yTJD;@+sOxCVm_UwWo4 zi#i&q0RQjd`hSvD7}o_RXu=F521qVog#{E03pe|5reT=d}prJi&^QfV~hEg3q)7;t^oyXE&KQ zkhCOtJ2rm`K2bU~6hlAyB&)qX&#wNAF^Z-v_$^VPCnOI=&?%EvHpSE4v$BqD(tz5r zS_w>*MJ(C%c%kJD1U2muy6=2XFF1{WT0TrZ;Tij&9yB1}v*)%2mfu#WWl?X`-61_8 z8SmcJ^D^@R>Y||L1u(Y`SO5uA1ZW7*`^9E^GooN!n&42xrk^Y+973-Je1f<~5QU0V^P+IZaDy`^u8dGI8ze32zrEX_N5(2AK(RL2!)UQy_rnzTApnkNVN% z41jxsAj(4?BQVCKPtw`ckqtARw Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - symbol = tool_parameters.get("symbol", "") - if not symbol: - return self.create_text_message("Please input symbol") - - time_range = [None, None] - start_date = tool_parameters.get("start_date", "") - if start_date: - time_range[0] = start_date - else: - time_range[0] = "1800-01-01" - - end_date = tool_parameters.get("end_date", "") - if end_date: - time_range[1] = end_date - else: - time_range[1] = datetime.now().strftime("%Y-%m-%d") - - stock_data = download(symbol, start=time_range[0], end=time_range[1]) - max_segments = min(15, len(stock_data)) - rows_per_segment = len(stock_data) // (max_segments or 1) - summary_data = [] - for i in range(max_segments): - start_idx = i * rows_per_segment - end_idx = (i + 1) * rows_per_segment if i < max_segments - 1 else len(stock_data) - segment_data = stock_data.iloc[start_idx:end_idx] - segment_summary = { - "Start Date": segment_data.index[0], - "End Date": segment_data.index[-1], - "Average Close": segment_data["Close"].mean(), - "Average Volume": segment_data["Volume"].mean(), - "Average Open": segment_data["Open"].mean(), - "Average High": segment_data["High"].mean(), - "Average Low": segment_data["Low"].mean(), - "Average Adj Close": segment_data["Adj Close"].mean(), - "Max Close": segment_data["Close"].max(), - "Min Close": segment_data["Close"].min(), - "Max Volume": segment_data["Volume"].max(), - "Min Volume": segment_data["Volume"].min(), - "Max Open": segment_data["Open"].max(), - "Min Open": segment_data["Open"].min(), - "Max High": segment_data["High"].max(), - "Min High": segment_data["High"].min(), - } - - summary_data.append(segment_summary) - - summary_df = pd.DataFrame(summary_data) - - try: - return self.create_text_message(str(summary_df.to_dict())) - except (HTTPError, ReadTimeout): - return self.create_text_message("There is a internet connection problem. Please try again later.") diff --git a/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml b/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml deleted file mode 100644 index 89e66fb5814908..00000000000000 --- a/api/core/tools/provider/builtin/yahoo/tools/analytics.yaml +++ /dev/null @@ -1,54 +0,0 @@ -identity: - name: yahoo_finance_analytics - author: Dify - label: - en_US: Analytics - zh_Hans: 分析 - pt_BR: Análises - icon: icon.svg -description: - human: - en_US: A tool for get analytics about a ticker from Yahoo Finance. - zh_Hans: 一个用于从雅虎财经获取分析数据的工具。 - pt_BR: Uma ferramenta para obter análises sobre um ticker do Yahoo Finance. - llm: A tool for get analytics from Yahoo Finance. Input should be the ticker symbol like AAPL. -parameters: - - name: symbol - type: string - required: true - label: - en_US: Ticker symbol - zh_Hans: 股票代码 - pt_BR: Símbolo do ticker - human_description: - en_US: The ticker symbol of the company you want to analyze. - zh_Hans: 你想要搜索的公司的股票代码。 - pt_BR: O símbolo do ticker da empresa que você deseja analisar. - llm_description: The ticker symbol of the company you want to analyze. - form: llm - - name: start_date - type: string - required: false - label: - en_US: Start date - zh_Hans: 开始日期 - pt_BR: Data de início - human_description: - en_US: The start date of the analytics. - zh_Hans: 分析的开始日期。 - pt_BR: A data de início das análises. - llm_description: The start date of the analytics, the format of the date must be YYYY-MM-DD like 2020-01-01. - form: llm - - name: end_date - type: string - required: false - label: - en_US: End date - zh_Hans: 结束日期 - pt_BR: Data de término - human_description: - en_US: The end date of the analytics. - zh_Hans: 分析的结束日期。 - pt_BR: A data de término das análises. - llm_description: The end date of the analytics, the format of the date must be YYYY-MM-DD like 2024-01-01. - form: llm diff --git a/api/core/tools/provider/builtin/yahoo/tools/news.py b/api/core/tools/provider/builtin/yahoo/tools/news.py deleted file mode 100644 index c9ae0c4ca7fcc6..00000000000000 --- a/api/core/tools/provider/builtin/yahoo/tools/news.py +++ /dev/null @@ -1,46 +0,0 @@ -from typing import Any, Union - -import yfinance # type: ignore -from requests.exceptions import HTTPError, ReadTimeout - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class YahooFinanceSearchTickerTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - - query = tool_parameters.get("symbol", "") - if not query: - return self.create_text_message("Please input symbol") - - try: - return self.run(ticker=query, user_id=user_id) - except (HTTPError, ReadTimeout): - return self.create_text_message("There is a internet connection problem. Please try again later.") - - def run(self, ticker: str, user_id: str) -> ToolInvokeMessage: - company = yfinance.Ticker(ticker) - try: - if company.isin is None: - return self.create_text_message(f"Company ticker {ticker} not found.") - except (HTTPError, ReadTimeout, ConnectionError): - return self.create_text_message(f"Company ticker {ticker} not found.") - - links = [] - try: - links = [n["link"] for n in company.news if n["type"] == "STORY"] - except (HTTPError, ReadTimeout, ConnectionError): - if not links: - return self.create_text_message(f"There is nothing about {ticker} ticker") - if not links: - return self.create_text_message(f"No news found for company that searched with {ticker} ticker.") - - result = "\n\n".join([self.get_url(link) for link in links]) - - return self.create_text_message(self.summary(user_id=user_id, content=result)) diff --git a/api/core/tools/provider/builtin/yahoo/tools/news.yaml b/api/core/tools/provider/builtin/yahoo/tools/news.yaml deleted file mode 100644 index 4118c1a82f280f..00000000000000 --- a/api/core/tools/provider/builtin/yahoo/tools/news.yaml +++ /dev/null @@ -1,28 +0,0 @@ -identity: - name: yahoo_finance_news - author: Dify - label: - en_US: News - zh_Hans: 新闻 - pt_BR: Notícias - icon: icon.svg -description: - human: - en_US: A tool for get news about a ticker from Yahoo Finance. - zh_Hans: 一个用于从雅虎财经获取新闻的工具。 - pt_BR: Uma ferramenta para obter notícias sobre um ticker da Yahoo Finance. - llm: A tool for get news from Yahoo Finance. Input should be the ticker symbol like AAPL. -parameters: - - name: symbol - type: string - required: true - label: - en_US: Ticker symbol - zh_Hans: 股票代码 - pt_BR: Símbolo do ticker - human_description: - en_US: The ticker symbol of the company you want to search. - zh_Hans: 你想要搜索的公司的股票代码。 - pt_BR: O símbolo do ticker da empresa que você deseja pesquisar. - llm_description: The ticker symbol of the company you want to search. - form: llm diff --git a/api/core/tools/provider/builtin/yahoo/tools/ticker.py b/api/core/tools/provider/builtin/yahoo/tools/ticker.py deleted file mode 100644 index 74d0d25addf04b..00000000000000 --- a/api/core/tools/provider/builtin/yahoo/tools/ticker.py +++ /dev/null @@ -1,27 +0,0 @@ -from typing import Any, Union - -from requests.exceptions import HTTPError, ReadTimeout -from yfinance import Ticker # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class YahooFinanceSearchTickerTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - query = tool_parameters.get("symbol", "") - if not query: - return self.create_text_message("Please input symbol") - - try: - return self.create_text_message(self.run(ticker=query)) - except (HTTPError, ReadTimeout): - return self.create_text_message("There is a internet connection problem. Please try again later.") - - def run(self, ticker: str) -> str: - return str(Ticker(ticker).info) diff --git a/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml b/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml deleted file mode 100644 index 3c1ee9cf316be9..00000000000000 --- a/api/core/tools/provider/builtin/yahoo/tools/ticker.yaml +++ /dev/null @@ -1,28 +0,0 @@ -identity: - name: yahoo_finance_ticker - author: Dify - label: - en_US: Ticker - zh_Hans: 股票信息 - pt_BR: Ticker - icon: icon.svg -description: - human: - en_US: A tool for search ticker information from Yahoo Finance. - zh_Hans: 一个用于从雅虎财经搜索股票信息的工具。 - pt_BR: Uma ferramenta para buscar informações de ticker do Yahoo Finance. - llm: A tool for search ticker information from Yahoo Finance. Input should be the ticker symbol like AAPL. -parameters: - - name: symbol - type: string - required: true - label: - en_US: Ticker symbol - zh_Hans: 股票代码 - pt_BR: Símbolo do ticker - human_description: - en_US: The ticker symbol of the company you want to search. - zh_Hans: 你想要搜索的公司的股票代码。 - pt_BR: O símbolo do ticker da empresa que você deseja pesquisar. - llm_description: The ticker symbol of the company you want to search. - form: llm diff --git a/api/core/tools/provider/builtin/yahoo/yahoo.py b/api/core/tools/provider/builtin/yahoo/yahoo.py deleted file mode 100644 index 8d82084e769703..00000000000000 --- a/api/core/tools/provider/builtin/yahoo/yahoo.py +++ /dev/null @@ -1,20 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.yahoo.tools.ticker import YahooFinanceSearchTickerTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class YahooFinanceProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - YahooFinanceSearchTickerTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "ticker": "MSFT", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/yahoo/yahoo.yaml b/api/core/tools/provider/builtin/yahoo/yahoo.yaml deleted file mode 100644 index f1e82952c09ba4..00000000000000 --- a/api/core/tools/provider/builtin/yahoo/yahoo.yaml +++ /dev/null @@ -1,16 +0,0 @@ -identity: - author: Dify - name: yahoo - label: - en_US: YahooFinance - zh_Hans: 雅虎财经 - pt_BR: YahooFinance - description: - en_US: Finance, and Yahoo! get the latest news, stock quotes, and interactive chart with Yahoo! - zh_Hans: 雅虎财经，获取并整理出最新的新闻、股票报价等一切你想要的财经信息。 - pt_BR: Finance, and Yahoo! get the latest news, stock quotes, and interactive chart with Yahoo! - icon: icon.png - tags: - - business - - finance -credentials_for_provider: diff --git a/api/core/tools/provider/builtin/youtube/_assets/icon.svg b/api/core/tools/provider/builtin/youtube/_assets/icon.svg deleted file mode 100644 index 83b0700fecbf30..00000000000000 --- a/api/core/tools/provider/builtin/youtube/_assets/icon.svg +++ /dev/null @@ -1,11 +0,0 @@ - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/youtube/tools/videos.py b/api/core/tools/provider/builtin/youtube/tools/videos.py deleted file mode 100644 index a24fe89679b29b..00000000000000 --- a/api/core/tools/provider/builtin/youtube/tools/videos.py +++ /dev/null @@ -1,74 +0,0 @@ -from datetime import datetime -from typing import Any, Union - -from googleapiclient.discovery import build # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class YoutubeVideosAnalyticsTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - channel = tool_parameters.get("channel", "") - if not channel: - return self.create_text_message("Please input symbol") - - time_range = [None, None] - start_date = tool_parameters.get("start_date", "") - if start_date: - time_range[0] = start_date - else: - time_range[0] = "1800-01-01" - - end_date = tool_parameters.get("end_date", "") - if end_date: - time_range[1] = end_date - else: - time_range[1] = datetime.now().strftime("%Y-%m-%d") - - if "google_api_key" not in self.runtime.credentials or not self.runtime.credentials["google_api_key"]: - return self.create_text_message("Please input api key") - - youtube = build("youtube", "v3", developerKey=self.runtime.credentials["google_api_key"]) - - # try to get channel id - search_results = youtube.search().list(q=channel, type="channel", order="relevance", part="id").execute() - channel_id = search_results["items"][0]["id"]["channelId"] - - start_date, end_date = time_range - - start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%Y-%m-%dT%H:%M:%SZ") - end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%Y-%m-%dT%H:%M:%SZ") - - # get videos - time_range_videos = ( - youtube.search() - .list( - part="snippet", - channelId=channel_id, - order="date", - type="video", - publishedAfter=start_date, - publishedBefore=end_date, - ) - .execute() - ) - - def extract_video_data(video_list): - data = [] - for video in video_list["items"]: - video_id = video["id"]["videoId"] - video_info = youtube.videos().list(part="snippet,statistics", id=video_id).execute() - title = video_info["items"][0]["snippet"]["title"] - views = video_info["items"][0]["statistics"]["viewCount"] - data.append({"Title": title, "Views": views}) - return data - - summary = extract_video_data(time_range_videos) - - return self.create_text_message(str(summary)) diff --git a/api/core/tools/provider/builtin/youtube/tools/videos.yaml b/api/core/tools/provider/builtin/youtube/tools/videos.yaml deleted file mode 100644 index 976699eb627910..00000000000000 --- a/api/core/tools/provider/builtin/youtube/tools/videos.yaml +++ /dev/null @@ -1,54 +0,0 @@ -identity: - name: youtube_video_statistics - author: Dify - label: - en_US: Video statistics - zh_Hans: 视频统计 - pt_BR: Estatísticas de vídeo - icon: icon.svg -description: - human: - en_US: A tool for get statistics about a channel's videos. - zh_Hans: 一个用于获取油管频道视频统计数据的工具。 - pt_BR: Uma ferramenta para obter estatísticas sobre os vídeos de um canal. - llm: A tool for get statistics about a channel's videos. Input should be the name of the channel like PewDiePie. -parameters: - - name: channel - type: string - required: true - label: - en_US: Channel name - zh_Hans: 频道名 - pt_BR: Nome do canal - human_description: - en_US: The name of the channel you want to search. - zh_Hans: 你想要搜索的油管频道名。 - pt_BR: O nome do canal que você deseja pesquisar. - llm_description: The name of the channel you want to search. - form: llm - - name: start_date - type: string - required: false - label: - en_US: Start date - zh_Hans: 开始日期 - pt_BR: Data de início - human_description: - en_US: The start date of the analytics. - zh_Hans: 分析的开始日期。 - pt_BR: A data de início da análise. - llm_description: The start date of the analytics, the format of the date must be YYYY-MM-DD like 2020-01-01. - form: llm - - name: end_date - type: string - required: false - label: - en_US: End date - zh_Hans: 结束日期 - pt_BR: Data de término - human_description: - en_US: The end date of the analytics. - zh_Hans: 分析的结束日期。 - pt_BR: A data de término da análise. - llm_description: The end date of the analytics, the format of the date must be YYYY-MM-DD like 2024-01-01. - form: llm diff --git a/api/core/tools/provider/builtin/youtube/youtube.py b/api/core/tools/provider/builtin/youtube/youtube.py deleted file mode 100644 index 07e430bcbf27e1..00000000000000 --- a/api/core/tools/provider/builtin/youtube/youtube.py +++ /dev/null @@ -1,22 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.youtube.tools.videos import YoutubeVideosAnalyticsTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class YahooFinanceProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - YoutubeVideosAnalyticsTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "channel": "UC2JZCsZSOudXA08cMMRCL9g", - "start_date": "2020-01-01", - "end_date": "2024-12-31", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/youtube/youtube.yaml b/api/core/tools/provider/builtin/youtube/youtube.yaml deleted file mode 100644 index d6915b9a324767..00000000000000 --- a/api/core/tools/provider/builtin/youtube/youtube.yaml +++ /dev/null @@ -1,31 +0,0 @@ -identity: - author: Dify - name: youtube - label: - en_US: YouTube - zh_Hans: YouTube - pt_BR: YouTube - description: - en_US: YouTube - zh_Hans: YouTube（油管）是全球最大的视频分享网站，用户可以在上面上传、观看和分享视频。 - pt_BR: YouTube é o maior site de compartilhamento de vídeos do mundo, onde os usuários podem fazer upload, assistir e compartilhar vídeos. - icon: icon.svg - tags: - - videos -credentials_for_provider: - google_api_key: - type: secret-input - required: true - label: - en_US: Google API key - zh_Hans: Google API key - pt_BR: Chave da API do Google - placeholder: - en_US: Please input your Google API key - zh_Hans: 请输入你的 Google API key - pt_BR: Insira sua chave da API do Google - help: - en_US: Get your Google API key from Google - zh_Hans: 从 Google 获取您的 Google API key - pt_BR: Obtenha sua chave da API do Google no Google - url: https://console.developers.google.com/apis/credentials diff --git a/api/core/tools/provider/builtin_tool_provider.py b/api/core/tools/provider/builtin_tool_provider.py deleted file mode 100644 index 61de75ac5e2ccd..00000000000000 --- a/api/core/tools/provider/builtin_tool_provider.py +++ /dev/null @@ -1,244 +0,0 @@ -from abc import abstractmethod -from os import listdir, path -from typing import Any, Optional - -from core.helper.module_import_helper import load_single_subclass_from_source -from core.tools.entities.tool_entities import ToolParameter, ToolProviderCredentials, ToolProviderType -from core.tools.entities.values import ToolLabelEnum, default_tool_label_dict -from core.tools.errors import ( - ToolNotFoundError, - ToolParameterValidationError, - ToolProviderNotFoundError, -) -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.tool.tool import Tool -from core.tools.utils.yaml_utils import load_yaml_file - - -class BuiltinToolProviderController(ToolProviderController): - def __init__(self, **data: Any) -> None: - if self.provider_type in {ToolProviderType.API, ToolProviderType.APP}: - super().__init__(**data) - return - - # load provider yaml - provider = self.__class__.__module__.split(".")[-1] - yaml_path = path.join(path.dirname(path.realpath(__file__)), "builtin", provider, f"{provider}.yaml") - try: - provider_yaml = load_yaml_file(yaml_path, ignore_error=False) - except Exception as e: - raise ToolProviderNotFoundError(f"can not load provider yaml for {provider}: {e}") - - if "credentials_for_provider" in provider_yaml and provider_yaml["credentials_for_provider"] is not None: - # set credentials name - for credential_name in provider_yaml["credentials_for_provider"]: - provider_yaml["credentials_for_provider"][credential_name]["name"] = credential_name - - super().__init__( - **{ - "identity": provider_yaml["identity"], - "credentials_schema": provider_yaml.get("credentials_for_provider", None), - } - ) - - def _get_builtin_tools(self) -> list[Tool]: - """ - returns a list of tools that the provider can provide - - :return: list of tools - """ - if self.tools: - return self.tools - if not self.identity: - return [] - - provider = self.identity.name - tool_path = path.join(path.dirname(path.realpath(__file__)), "builtin", provider, "tools") - # get all the yaml files in the tool path - tool_files = list(filter(lambda x: x.endswith(".yaml") and not x.startswith("__"), listdir(tool_path))) - tools = [] - for tool_file in tool_files: - # get tool name - tool_name = tool_file.split(".")[0] - tool = load_yaml_file(path.join(tool_path, tool_file), ignore_error=False) - - # get tool class, import the module - assistant_tool_class = load_single_subclass_from_source( - module_name=f"core.tools.provider.builtin.{provider}.tools.{tool_name}", - script_path=path.join( - path.dirname(path.realpath(__file__)), "builtin", provider, "tools", f"{tool_name}.py" - ), - parent_type=BuiltinTool, - ) - tool["identity"]["provider"] = provider - tools.append(assistant_tool_class(**tool)) - - self.tools = tools - return tools - - def get_credentials_schema(self) -> dict[str, ToolProviderCredentials]: - """ - returns the credentials schema of the provider - - :return: the credentials schema - """ - if not self.credentials_schema: - return {} - - return self.credentials_schema.copy() - - def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]: - """ - returns a list of tools that the provider can provide - - :return: list of tools - """ - return self._get_builtin_tools() - - def get_tool(self, tool_name: str) -> Optional[Tool]: - """ - returns the tool that the provider can provide - """ - tools = self.get_tools() - if tools is None: - raise ValueError("tools not found") - return next((t for t in tools if t.identity and t.identity.name == tool_name), None) - - def get_parameters(self, tool_name: str) -> list[ToolParameter]: - """ - returns the parameters of the tool - - :param tool_name: the name of the tool, defined in `get_tools` - :return: list of parameters - """ - tools = self.get_tools() - if tools is None: - raise ToolNotFoundError(f"tool {tool_name} not found") - tool = next((t for t in tools if t.identity and t.identity.name == tool_name), None) - if tool is None: - raise ToolNotFoundError(f"tool {tool_name} not found") - return tool.parameters or [] - - @property - def need_credentials(self) -> bool: - """ - returns whether the provider needs credentials - - :return: whether the provider needs credentials - """ - return self.credentials_schema is not None and len(self.credentials_schema) != 0 - - @property - def provider_type(self) -> ToolProviderType: - """ - returns the type of the provider - - :return: type of the provider - """ - return ToolProviderType.BUILT_IN - - @property - def tool_labels(self) -> list[str]: - """ - returns the labels of the provider - - :return: labels of the provider - """ - label_enums = self._get_tool_labels() - return [default_tool_label_dict[label].name for label in label_enums] - - def _get_tool_labels(self) -> list[ToolLabelEnum]: - """ - returns the labels of the provider - """ - if self.identity is None: - return [] - return self.identity.tags or [] - - def validate_parameters(self, tool_id: int, tool_name: str, tool_parameters: dict[str, Any]) -> None: - """ - validate the parameters of the tool and set the default value if needed - - :param tool_name: the name of the tool, defined in `get_tools` - :param tool_parameters: the parameters of the tool - """ - tool_parameters_schema = self.get_parameters(tool_name) - - tool_parameters_need_to_validate: dict[str, ToolParameter] = {} - for parameter in tool_parameters_schema: - tool_parameters_need_to_validate[parameter.name] = parameter - - for parameter_name in tool_parameters: - if parameter_name not in tool_parameters_need_to_validate: - raise ToolParameterValidationError(f"parameter {parameter_name} not found in tool {tool_name}") - - # check type - parameter_schema = tool_parameters_need_to_validate[parameter_name] - if parameter_schema.type == ToolParameter.ToolParameterType.STRING: - if not isinstance(tool_parameters[parameter_name], str): - raise ToolParameterValidationError(f"parameter {parameter_name} should be string") - - elif parameter_schema.type == ToolParameter.ToolParameterType.NUMBER: - if not isinstance(tool_parameters[parameter_name], int | float): - raise ToolParameterValidationError(f"parameter {parameter_name} should be number") - - if parameter_schema.min is not None and tool_parameters[parameter_name] < parameter_schema.min: - raise ToolParameterValidationError( - f"parameter {parameter_name} should be greater than {parameter_schema.min}" - ) - - if parameter_schema.max is not None and tool_parameters[parameter_name] > parameter_schema.max: - raise ToolParameterValidationError( - f"parameter {parameter_name} should be less than {parameter_schema.max}" - ) - - elif parameter_schema.type == ToolParameter.ToolParameterType.BOOLEAN: - if not isinstance(tool_parameters[parameter_name], bool): - raise ToolParameterValidationError(f"parameter {parameter_name} should be boolean") - - elif parameter_schema.type == ToolParameter.ToolParameterType.SELECT: - if not isinstance(tool_parameters[parameter_name], str): - raise ToolParameterValidationError(f"parameter {parameter_name} should be string") - - options = parameter_schema.options - if not isinstance(options, list): - raise ToolParameterValidationError(f"parameter {parameter_name} options should be list") - - if tool_parameters[parameter_name] not in [x.value for x in options]: - raise ToolParameterValidationError(f"parameter {parameter_name} should be one of {options}") - - tool_parameters_need_to_validate.pop(parameter_name) - - for parameter_name in tool_parameters_need_to_validate: - parameter_schema = tool_parameters_need_to_validate[parameter_name] - if parameter_schema.required: - raise ToolParameterValidationError(f"parameter {parameter_name} is required") - - # the parameter is not set currently, set the default value if needed - if parameter_schema.default is not None: - default_value = parameter_schema.type.cast_value(parameter_schema.default) - tool_parameters[parameter_name] = default_value - - def validate_credentials(self, credentials: dict[str, Any]) -> None: - """ - validate the credentials of the provider - - :param tool_name: the name of the tool, defined in `get_tools` - :param credentials: the credentials of the tool - """ - # validate credentials format - self.validate_credentials_format(credentials) - - # validate credentials - self._validate_credentials(credentials) - - @abstractmethod - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - """ - validate the credentials of the provider - - :param tool_name: the name of the tool, defined in `get_tools` - :param credentials: the credentials of the tool - """ - pass diff --git a/api/core/tools/provider/tool_provider.py b/api/core/tools/provider/tool_provider.py deleted file mode 100644 index e35207e4f06404..00000000000000 --- a/api/core/tools/provider/tool_provider.py +++ /dev/null @@ -1,201 +0,0 @@ -from abc import ABC, abstractmethod -from typing import Any, Optional - -from pydantic import BaseModel - -from core.tools.entities.tool_entities import ( - ToolParameter, - ToolProviderCredentials, - ToolProviderIdentity, - ToolProviderType, -) -from core.tools.errors import ToolNotFoundError, ToolParameterValidationError, ToolProviderCredentialValidationError -from core.tools.tool.tool import Tool - - -class ToolProviderController(BaseModel, ABC): - identity: Optional[ToolProviderIdentity] = None - tools: Optional[list[Tool]] = None - credentials_schema: Optional[dict[str, ToolProviderCredentials]] = None - - def get_credentials_schema(self) -> dict[str, ToolProviderCredentials]: - """ - returns the credentials schema of the provider - - :return: the credentials schema - """ - if self.credentials_schema is None: - return {} - return self.credentials_schema.copy() - - @abstractmethod - def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]: - """ - returns a list of tools that the provider can provide - - :return: list of tools - """ - pass - - @abstractmethod - def get_tool(self, tool_name: str) -> Optional[Tool]: - """ - returns a tool that the provider can provide - - :return: tool - """ - pass - - def get_parameters(self, tool_name: str) -> list[ToolParameter]: - """ - returns the parameters of the tool - - :param tool_name: the name of the tool, defined in `get_tools` - :return: list of parameters - """ - tools = self.get_tools() - if tools is None: - raise ToolNotFoundError(f"tool {tool_name} not found") - tool = next((t for t in tools if t.identity and t.identity.name == tool_name), None) - if tool is None: - raise ToolNotFoundError(f"tool {tool_name} not found") - return tool.parameters or [] - - @property - def provider_type(self) -> ToolProviderType: - """ - returns the type of the provider - - :return: type of the provider - """ - return ToolProviderType.BUILT_IN - - def validate_parameters(self, tool_id: int, tool_name: str, tool_parameters: dict[str, Any]) -> None: - """ - validate the parameters of the tool and set the default value if needed - - :param tool_name: the name of the tool, defined in `get_tools` - :param tool_parameters: the parameters of the tool - """ - tool_parameters_schema = self.get_parameters(tool_name) - - tool_parameters_need_to_validate: dict[str, ToolParameter] = {} - for parameter in tool_parameters_schema: - tool_parameters_need_to_validate[parameter.name] = parameter - - for tool_parameter in tool_parameters: - if tool_parameter not in tool_parameters_need_to_validate: - raise ToolParameterValidationError(f"parameter {tool_parameter} not found in tool {tool_name}") - - # check type - parameter_schema = tool_parameters_need_to_validate[tool_parameter] - if parameter_schema.type == ToolParameter.ToolParameterType.STRING: - if not isinstance(tool_parameters[tool_parameter], str): - raise ToolParameterValidationError(f"parameter {tool_parameter} should be string") - - elif parameter_schema.type == ToolParameter.ToolParameterType.NUMBER: - if not isinstance(tool_parameters[tool_parameter], int | float): - raise ToolParameterValidationError(f"parameter {tool_parameter} should be number") - - if parameter_schema.min is not None and tool_parameters[tool_parameter] < parameter_schema.min: - raise ToolParameterValidationError( - f"parameter {tool_parameter} should be greater than {parameter_schema.min}" - ) - - if parameter_schema.max is not None and tool_parameters[tool_parameter] > parameter_schema.max: - raise ToolParameterValidationError( - f"parameter {tool_parameter} should be less than {parameter_schema.max}" - ) - - elif parameter_schema.type == ToolParameter.ToolParameterType.BOOLEAN: - if not isinstance(tool_parameters[tool_parameter], bool): - raise ToolParameterValidationError(f"parameter {tool_parameter} should be boolean") - - elif parameter_schema.type == ToolParameter.ToolParameterType.SELECT: - if not isinstance(tool_parameters[tool_parameter], str): - raise ToolParameterValidationError(f"parameter {tool_parameter} should be string") - - options = parameter_schema.options - if not isinstance(options, list): - raise ToolParameterValidationError(f"parameter {tool_parameter} options should be list") - - if tool_parameters[tool_parameter] not in [x.value for x in options]: - raise ToolParameterValidationError(f"parameter {tool_parameter} should be one of {options}") - - tool_parameters_need_to_validate.pop(tool_parameter) - - for tool_parameter_validate in tool_parameters_need_to_validate: - parameter_schema = tool_parameters_need_to_validate[tool_parameter_validate] - if parameter_schema.required: - raise ToolParameterValidationError(f"parameter {tool_parameter_validate} is required") - - # the parameter is not set currently, set the default value if needed - if parameter_schema.default is not None: - tool_parameters[tool_parameter_validate] = parameter_schema.type.cast_value(parameter_schema.default) - - def validate_credentials_format(self, credentials: dict[str, Any]) -> None: - """ - validate the format of the credentials of the provider and set the default value if needed - - :param credentials: the credentials of the tool - """ - credentials_schema = self.credentials_schema - if credentials_schema is None: - return - - credentials_need_to_validate: dict[str, ToolProviderCredentials] = {} - for credential_name in credentials_schema: - credentials_need_to_validate[credential_name] = credentials_schema[credential_name] - - for credential_name in credentials: - if credential_name not in credentials_need_to_validate: - if self.identity is None: - raise ValueError("identity is not set") - raise ToolProviderCredentialValidationError( - f"credential {credential_name} not found in provider {self.identity.name}" - ) - - # check type - credential_schema = credentials_need_to_validate[credential_name] - if not credential_schema.required and credentials[credential_name] is None: - continue - - if credential_schema.type in { - ToolProviderCredentials.CredentialsType.SECRET_INPUT, - ToolProviderCredentials.CredentialsType.TEXT_INPUT, - }: - if not isinstance(credentials[credential_name], str): - raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string") - - elif credential_schema.type == ToolProviderCredentials.CredentialsType.SELECT: - if not isinstance(credentials[credential_name], str): - raise ToolProviderCredentialValidationError(f"credential {credential_name} should be string") - - options = credential_schema.options - if not isinstance(options, list): - raise ToolProviderCredentialValidationError(f"credential {credential_name} options should be list") - - if credentials[credential_name] not in [x.value for x in options]: - raise ToolProviderCredentialValidationError( - f"credential {credential_name} should be one of {options}" - ) - - credentials_need_to_validate.pop(credential_name) - - for credential_name in credentials_need_to_validate: - credential_schema = credentials_need_to_validate[credential_name] - if credential_schema.required: - raise ToolProviderCredentialValidationError(f"credential {credential_name} is required") - - # the credential is not set currently, set the default value if needed - if credential_schema.default is not None: - default_value = credential_schema.default - # parse default value into the correct type - if credential_schema.type in { - ToolProviderCredentials.CredentialsType.SECRET_INPUT, - ToolProviderCredentials.CredentialsType.TEXT_INPUT, - ToolProviderCredentials.CredentialsType.SELECT, - }: - default_value = str(default_value) - - credentials[credential_name] = default_value diff --git a/api/core/tools/tool/tool.py b/api/core/tools/tool/tool.py deleted file mode 100644 index 4094207beb5c9f..00000000000000 --- a/api/core/tools/tool/tool.py +++ /dev/null @@ -1,355 +0,0 @@ -from abc import ABC, abstractmethod -from collections.abc import Mapping -from copy import deepcopy -from enum import Enum, StrEnum -from typing import TYPE_CHECKING, Any, Optional, Union - -from pydantic import BaseModel, ConfigDict, field_validator -from pydantic_core.core_schema import ValidationInfo - -from core.app.entities.app_invoke_entities import InvokeFrom -from core.tools.entities.tool_entities import ( - ToolDescription, - ToolIdentity, - ToolInvokeFrom, - ToolInvokeMessage, - ToolParameter, - ToolProviderType, - ToolRuntimeImageVariable, - ToolRuntimeVariable, - ToolRuntimeVariablePool, -) -from core.tools.tool_file_manager import ToolFileManager - -if TYPE_CHECKING: - from core.file.models import File - - -class Tool(BaseModel, ABC): - identity: Optional[ToolIdentity] = None - parameters: Optional[list[ToolParameter]] = None - description: Optional[ToolDescription] = None - is_team_authorization: bool = False - - # pydantic configs - model_config = ConfigDict(protected_namespaces=()) - - @field_validator("parameters", mode="before") - @classmethod - def set_parameters(cls, v, validation_info: ValidationInfo) -> list[ToolParameter]: - return v or [] - - class Runtime(BaseModel): - """ - Meta data of a tool call processing - """ - - def __init__(self, **data: Any): - super().__init__(**data) - if not self.runtime_parameters: - self.runtime_parameters = {} - - tenant_id: Optional[str] = None - tool_id: Optional[str] = None - invoke_from: Optional[InvokeFrom] = None - tool_invoke_from: Optional[ToolInvokeFrom] = None - credentials: Optional[dict[str, Any]] = None - runtime_parameters: Optional[dict[str, Any]] = None - - runtime: Optional[Runtime] = None - variables: Optional[ToolRuntimeVariablePool] = None - - def __init__(self, **data: Any): - super().__init__(**data) - - class VariableKey(StrEnum): - IMAGE = "image" - DOCUMENT = "document" - VIDEO = "video" - AUDIO = "audio" - CUSTOM = "custom" - - def fork_tool_runtime(self, runtime: dict[str, Any]) -> "Tool": - """ - fork a new tool with meta data - - :param meta: the meta data of a tool call processing, tenant_id is required - :return: the new tool - """ - return self.__class__( - identity=self.identity.model_copy() if self.identity else None, - parameters=self.parameters.copy() if self.parameters else None, - description=self.description.model_copy() if self.description else None, - runtime=Tool.Runtime(**runtime), - ) - - @abstractmethod - def tool_provider_type(self) -> ToolProviderType: - """ - get the tool provider type - - :return: the tool provider type - """ - - def load_variables(self, variables: ToolRuntimeVariablePool | None) -> None: - """ - load variables from database - - :param conversation_id: the conversation id - """ - self.variables = variables - - def set_image_variable(self, variable_name: str, image_key: str) -> None: - """ - set an image variable - """ - if not self.variables: - return - if self.identity is None: - return - - self.variables.set_file(self.identity.name, variable_name, image_key) - - def set_text_variable(self, variable_name: str, text: str) -> None: - """ - set a text variable - """ - if not self.variables: - return - if self.identity is None: - return - - self.variables.set_text(self.identity.name, variable_name, text) - - def get_variable(self, name: Union[str, Enum]) -> Optional[ToolRuntimeVariable]: - """ - get a variable - - :param name: the name of the variable - :return: the variable - """ - if not self.variables: - return None - - if isinstance(name, Enum): - name = name.value - - for variable in self.variables.pool: - if variable.name == name: - return variable - - return None - - def get_default_image_variable(self) -> Optional[ToolRuntimeVariable]: - """ - get the default image variable - - :return: the image variable - """ - if not self.variables: - return None - - return self.get_variable(self.VariableKey.IMAGE) - - def get_variable_file(self, name: Union[str, Enum]) -> Optional[bytes]: - """ - get a variable file - - :param name: the name of the variable - :return: the variable file - """ - variable = self.get_variable(name) - if not variable: - return None - - if not isinstance(variable, ToolRuntimeImageVariable): - return None - - message_file_id = variable.value - # get file binary - file_binary = ToolFileManager.get_file_binary_by_message_file_id(message_file_id) - if not file_binary: - return None - - return file_binary[0] - - def list_variables(self) -> list[ToolRuntimeVariable]: - """ - list all variables - - :return: the variables - """ - if not self.variables: - return [] - - return self.variables.pool - - def list_default_image_variables(self) -> list[ToolRuntimeVariable]: - """ - list all image variables - - :return: the image variables - """ - if not self.variables: - return [] - - result = [] - - for variable in self.variables.pool: - if variable.name.startswith(self.VariableKey.IMAGE.value): - result.append(variable) - - return result - - def invoke(self, user_id: str, tool_parameters: Mapping[str, Any]) -> list[ToolInvokeMessage]: - # update tool_parameters - # TODO: Fix type error. - if self.runtime is None: - return [] - if self.runtime.runtime_parameters: - # Convert Mapping to dict before updating - tool_parameters = dict(tool_parameters) - tool_parameters.update(self.runtime.runtime_parameters) - - # try parse tool parameters into the correct type - tool_parameters = self._transform_tool_parameters_type(tool_parameters) - - result = self._invoke( - user_id=user_id, - tool_parameters=tool_parameters, - ) - - if not isinstance(result, list): - result = [result] - - if not all(isinstance(message, ToolInvokeMessage) for message in result): - raise ValueError( - f"Invalid return type from {self.__class__.__name__}._invoke method. " - "Expected ToolInvokeMessage or list of ToolInvokeMessage." - ) - - return result - - def _transform_tool_parameters_type(self, tool_parameters: Mapping[str, Any]) -> dict[str, Any]: - """ - Transform tool parameters type - """ - # Temp fix for the issue that the tool parameters will be converted to empty while validating the credentials - result: dict[str, Any] = deepcopy(dict(tool_parameters)) - for parameter in self.parameters or []: - if parameter.name in tool_parameters: - result[parameter.name] = parameter.type.cast_value(tool_parameters[parameter.name]) - - return result - - @abstractmethod - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - pass - - def validate_credentials( - self, credentials: dict[str, Any], parameters: dict[str, Any], format_only: bool = False - ) -> str | None: - """ - validate the credentials - - :param credentials: the credentials - :param parameters: the parameters - :param format_only: only return the formatted - """ - pass - - def get_runtime_parameters(self) -> list[ToolParameter]: - """ - get the runtime parameters - - interface for developer to dynamic change the parameters of a tool depends on the variables pool - - :return: the runtime parameters - """ - return self.parameters or [] - - def get_all_runtime_parameters(self) -> list[ToolParameter]: - """ - get all runtime parameters - - :return: all runtime parameters - """ - parameters = self.parameters or [] - parameters = parameters.copy() - user_parameters = self.get_runtime_parameters() - user_parameters = user_parameters.copy() - - # override parameters - for parameter in user_parameters: - # check if parameter in tool parameters - found = False - for tool_parameter in parameters: - if tool_parameter.name == parameter.name: - found = True - break - - if found: - # override parameter - tool_parameter.type = parameter.type - tool_parameter.form = parameter.form - tool_parameter.required = parameter.required - tool_parameter.default = parameter.default - tool_parameter.options = parameter.options - tool_parameter.llm_description = parameter.llm_description - else: - # add new parameter - parameters.append(parameter) - - return parameters - - def create_image_message(self, image: str, save_as: str = "") -> ToolInvokeMessage: - """ - create an image message - - :param image: the url of the image - :return: the image message - """ - return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.IMAGE, message=image, save_as=save_as) - - def create_file_message(self, file: "File") -> ToolInvokeMessage: - return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.FILE, message="", meta={"file": file}, save_as="") - - def create_link_message(self, link: str, save_as: str = "") -> ToolInvokeMessage: - """ - create a link message - - :param link: the url of the link - :return: the link message - """ - return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.LINK, message=link, save_as=save_as) - - def create_text_message(self, text: str, save_as: str = "") -> ToolInvokeMessage: - """ - create a text message - - :param text: the text - :return: the text message - """ - return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.TEXT, message=text, save_as=save_as) - - def create_blob_message(self, blob: bytes, meta: Optional[dict] = None, save_as: str = "") -> ToolInvokeMessage: - """ - create a blob message - - :param blob: the blob - :return: the blob message - """ - return ToolInvokeMessage( - type=ToolInvokeMessage.MessageType.BLOB, - message=blob, - meta=meta or {}, - save_as=save_as, - ) - - def create_json_message(self, object: dict) -> ToolInvokeMessage: - """ - create a json message - """ - return ToolInvokeMessage(type=ToolInvokeMessage.MessageType.JSON, message=object) diff --git a/api/core/tools/tool_engine.py b/api/core/tools/tool_engine.py index f7a8ed63f401d5..2ad52a46c92c93 100644 --- a/api/core/tools/tool_engine.py +++ b/api/core/tools/tool_engine.py @@ -1,5 +1,5 @@ import json -from collections.abc import Mapping +from collections.abc import Generator, Iterable from copy import deepcopy from datetime import UTC, datetime from mimetypes import guess_type @@ -13,7 +13,13 @@ from core.file import FileType from core.file.models import FileTransferMethod from core.ops.ops_trace_manager import TraceQueueManager -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolInvokeMessageBinary, ToolInvokeMeta, ToolParameter +from core.tools.__base.tool import Tool +from core.tools.entities.tool_entities import ( + ToolInvokeMessage, + ToolInvokeMessageBinary, + ToolInvokeMeta, + ToolParameter, +) from core.tools.errors import ( ToolEngineInvokeError, ToolInvokeError, @@ -23,9 +29,8 @@ ToolProviderCredentialValidationError, ToolProviderNotFoundError, ) -from core.tools.tool.tool import Tool -from core.tools.tool.workflow_tool import WorkflowTool from core.tools.utils.message_transformer import ToolFileMessageTransformer +from core.tools.workflow_as_tool.tool import WorkflowTool from extensions.ext_database import db from models.enums import CreatedByRole from models.model import Message, MessageFile @@ -46,7 +51,10 @@ def agent_invoke( invoke_from: InvokeFrom, agent_tool_callback: DifyAgentCallbackHandler, trace_manager: Optional[TraceQueueManager] = None, - ) -> tuple[str, list[tuple[MessageFile, str]], ToolInvokeMeta]: + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> tuple[str, list[str], ToolInvokeMeta]: """ Agent invokes the tool with the given arguments. """ @@ -63,35 +71,50 @@ def agent_invoke( else: try: tool_parameters = json.loads(tool_parameters) - except Exception as e: + except Exception: pass if not isinstance(tool_parameters, dict): raise ValueError(f"tool_parameters should be a dict, but got a string: {tool_parameters}") - # invoke the tool - if tool.identity is None: - raise ValueError("tool identity is not set") try: # hit the callback handler - agent_tool_callback.on_tool_start(tool_name=tool.identity.name, tool_inputs=tool_parameters) - - meta, response = ToolEngine._invoke(tool, tool_parameters, user_id) - response = ToolFileMessageTransformer.transform_tool_invoke_messages( - messages=response, user_id=user_id, tenant_id=tenant_id, conversation_id=message.conversation_id + agent_tool_callback.on_tool_start(tool_name=tool.entity.identity.name, tool_inputs=tool_parameters) + + messages = ToolEngine._invoke(tool, tool_parameters, user_id, conversation_id, app_id, message_id) + invocation_meta_dict: dict[str, ToolInvokeMeta] = {} + + def message_callback( + invocation_meta_dict: dict, messages: Generator[ToolInvokeMessage | ToolInvokeMeta, None, None] + ): + for message in messages: + if isinstance(message, ToolInvokeMeta): + invocation_meta_dict["meta"] = message + else: + yield message + + messages = ToolFileMessageTransformer.transform_tool_invoke_messages( + messages=message_callback(invocation_meta_dict, messages), + user_id=user_id, + tenant_id=tenant_id, + conversation_id=message.conversation_id, ) + message_list = list(messages) + # extract binary data from tool invoke message - binary_files = ToolEngine._extract_tool_response_binary(response) + binary_files = ToolEngine._extract_tool_response_binary_and_text(message_list) # create message file message_files = ToolEngine._create_message_files( tool_messages=binary_files, agent_message=message, invoke_from=invoke_from, user_id=user_id ) - plain_text = ToolEngine._convert_tool_response_to_str(response) + plain_text = ToolEngine._convert_tool_response_to_str(message_list) + + meta = invocation_meta_dict["meta"] # hit the callback handler agent_tool_callback.on_tool_end( - tool_name=tool.identity.name, + tool_name=tool.entity.identity.name, tool_inputs=tool_parameters, tool_outputs=plain_text, message_id=message.id, @@ -104,7 +127,7 @@ def agent_invoke( error_response = "Please check your tool provider credentials" agent_tool_callback.on_tool_error(e) except (ToolNotFoundError, ToolNotSupportedError, ToolProviderNotFoundError) as e: - error_response = f"there is not a tool named {tool.identity.name}" + error_response = f"there is not a tool named {tool.entity.identity.name}" agent_tool_callback.on_tool_error(e) except ToolParameterValidationError as e: error_response = f"tool parameters validation error: {e}, please check your tool parameters" @@ -124,21 +147,23 @@ def agent_invoke( return error_response, [], ToolInvokeMeta.error_instance(error_response) @staticmethod - def workflow_invoke( + def generic_invoke( tool: Tool, - tool_parameters: Mapping[str, Any], + tool_parameters: dict[str, Any], user_id: str, workflow_tool_callback: DifyWorkflowCallbackHandler, workflow_call_depth: int, thread_pool_id: Optional[str] = None, - ) -> list[ToolInvokeMessage]: + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ Workflow invokes the tool with the given arguments. """ try: # hit the callback handler - assert tool.identity is not None - workflow_tool_callback.on_tool_start(tool_name=tool.identity.name, tool_inputs=tool_parameters) + workflow_tool_callback.on_tool_start(tool_name=tool.entity.identity.name, tool_inputs=tool_parameters) if isinstance(tool, WorkflowTool): tool.workflow_call_depth = workflow_call_depth + 1 @@ -146,11 +171,18 @@ def workflow_invoke( if tool.runtime and tool.runtime.runtime_parameters: tool_parameters = {**tool.runtime.runtime_parameters, **tool_parameters} - response = tool.invoke(user_id=user_id, tool_parameters=tool_parameters) + + response = tool.invoke( + user_id=user_id, + tool_parameters=tool_parameters, + conversation_id=conversation_id, + app_id=app_id, + message_id=message_id, + ) # hit the callback handler - workflow_tool_callback.on_tool_end( - tool_name=tool.identity.name, + response = workflow_tool_callback.on_tool_execution( + tool_name=tool.entity.identity.name, tool_inputs=tool_parameters, tool_outputs=response, ) @@ -161,34 +193,38 @@ def workflow_invoke( raise e @staticmethod - def _invoke(tool: Tool, tool_parameters: dict, user_id: str) -> tuple[ToolInvokeMeta, list[ToolInvokeMessage]]: + def _invoke( + tool: Tool, + tool_parameters: dict, + user_id: str, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage | ToolInvokeMeta, None, None]: """ Invoke the tool with the given arguments. """ - if tool.identity is None: - raise ValueError("tool identity is not set") started_at = datetime.now(UTC) meta = ToolInvokeMeta( time_cost=0.0, error=None, tool_config={ - "tool_name": tool.identity.name, - "tool_provider": tool.identity.provider, + "tool_name": tool.entity.identity.name, + "tool_provider": tool.entity.identity.provider, "tool_provider_type": tool.tool_provider_type().value, - "tool_parameters": deepcopy(tool.runtime.runtime_parameters) if tool.runtime else {}, - "tool_icon": tool.identity.icon, + "tool_parameters": deepcopy(tool.runtime.runtime_parameters), + "tool_icon": tool.entity.identity.icon, }, ) try: - response = tool.invoke(user_id, tool_parameters) + yield from tool.invoke(user_id, tool_parameters, conversation_id, app_id, message_id) except Exception as e: meta.error = str(e) raise ToolEngineInvokeError(meta) finally: ended_at = datetime.now(UTC) meta.time_cost = (ended_at - started_at).total_seconds() - - return meta, response + yield meta @staticmethod def _convert_tool_response_to_str(tool_response: list[ToolInvokeMessage]) -> str: @@ -198,36 +234,42 @@ def _convert_tool_response_to_str(tool_response: list[ToolInvokeMessage]) -> str result = "" for response in tool_response: if response.type == ToolInvokeMessage.MessageType.TEXT: - result += str(response.message) if response.message is not None else "" + result += cast(ToolInvokeMessage.TextMessage, response.message).text elif response.type == ToolInvokeMessage.MessageType.LINK: - result += f"result link: {response.message!r}. please tell user to check it." + result += ( + f"result link: {cast(ToolInvokeMessage.TextMessage, response.message).text}." + + " please tell user to check it." + ) elif response.type in {ToolInvokeMessage.MessageType.IMAGE_LINK, ToolInvokeMessage.MessageType.IMAGE}: result += ( - "image has been created and sent to user already, you do not need to create it," - " just tell the user to check it now." + "image has been created and sent to user already, " + + "you do not need to create it, just tell the user to check it now." ) elif response.type == ToolInvokeMessage.MessageType.JSON: - result += f"tool response: {json.dumps(response.message, ensure_ascii=False)}." + text = json.dumps(cast(ToolInvokeMessage.JsonMessage, response.message).json_object, ensure_ascii=False) + result += f"tool response: {text}." else: result += f"tool response: {response.message!r}." return result @staticmethod - def _extract_tool_response_binary(tool_response: list[ToolInvokeMessage]) -> list[ToolInvokeMessageBinary]: + def _extract_tool_response_binary_and_text( + tool_response: list[ToolInvokeMessage], + ) -> Generator[ToolInvokeMessageBinary, None, None]: """ Extract tool response binary """ - result = [] - for response in tool_response: if response.type in {ToolInvokeMessage.MessageType.IMAGE_LINK, ToolInvokeMessage.MessageType.IMAGE}: mimetype = None + if not response.meta: + raise ValueError("missing meta data") if response.meta.get("mime_type"): mimetype = response.meta.get("mime_type") else: try: - url = URL(cast(str, response.message)) + url = URL(cast(ToolInvokeMessage.TextMessage, response.message).text) extension = url.suffix guess_type_result, _ = guess_type(f"a{extension}") if guess_type_result: @@ -238,48 +280,38 @@ def _extract_tool_response_binary(tool_response: list[ToolInvokeMessage]) -> lis if not mimetype: mimetype = "image/jpeg" - result.append( - ToolInvokeMessageBinary( - mimetype=response.meta.get("mime_type", "image/jpeg"), - url=cast(str, response.message), - save_as=response.save_as, - ) + yield ToolInvokeMessageBinary( + mimetype=response.meta.get("mime_type", "image/jpeg"), + url=cast(ToolInvokeMessage.TextMessage, response.message).text, ) elif response.type == ToolInvokeMessage.MessageType.BLOB: - result.append( - ToolInvokeMessageBinary( - mimetype=response.meta.get("mime_type", "octet/stream"), - url=cast(str, response.message), - save_as=response.save_as, - ) + if not response.meta: + raise ValueError("missing meta data") + + yield ToolInvokeMessageBinary( + mimetype=response.meta.get("mime_type", "octet/stream"), + url=cast(ToolInvokeMessage.TextMessage, response.message).text, ) elif response.type == ToolInvokeMessage.MessageType.LINK: # check if there is a mime type in meta if response.meta and "mime_type" in response.meta: - result.append( - ToolInvokeMessageBinary( - mimetype=response.meta.get("mime_type", "octet/stream") - if response.meta - else "octet/stream", - url=cast(str, response.message), - save_as=response.save_as, - ) + yield ToolInvokeMessageBinary( + mimetype=response.meta.get("mime_type", "octet/stream") if response.meta else "octet/stream", + url=cast(ToolInvokeMessage.TextMessage, response.message).text, ) - return result - @staticmethod def _create_message_files( - tool_messages: list[ToolInvokeMessageBinary], + tool_messages: Iterable[ToolInvokeMessageBinary], agent_message: Message, invoke_from: InvokeFrom, user_id: str, - ) -> list[tuple[Any, str]]: + ) -> list[str]: """ Create message file :param messages: messages - :return: message files, should save as variable + :return: message file ids """ result = [] @@ -316,7 +348,7 @@ def _create_message_files( db.session.commit() db.session.refresh(message_file) - result.append((message_file.id, message.save_as)) + result.append(message_file.id) db.session.close() diff --git a/api/core/tools/tool_file_manager.py b/api/core/tools/tool_file_manager.py index 2aaca6d82e36b1..967cddac6cfae0 100644 --- a/api/core/tools/tool_file_manager.py +++ b/api/core/tools/tool_file_manager.py @@ -90,15 +90,15 @@ def create_file_by_raw( def create_file_by_url( user_id: str, tenant_id: str, - conversation_id: str | None, file_url: str, + conversation_id: Optional[str] = None, ) -> ToolFile: # try to download image try: response = ssrf_proxy.get(file_url) response.raise_for_status() blob = response.content - except httpx.TimeoutException as e: + except httpx.TimeoutException: raise ValueError(f"timeout when downloading file from {file_url}") mimetype = guess_type(file_url)[0] or "octet/stream" @@ -133,7 +133,7 @@ def get_file_binary(id: str) -> Union[tuple[bytes, str], None]: :return: the binary of the file, mime type """ - tool_file = ( + tool_file: ToolFile | None = ( db.session.query(ToolFile) .filter( ToolFile.id == id, @@ -157,7 +157,7 @@ def get_file_binary_by_message_file_id(id: str) -> Union[tuple[bytes, str], None :return: the binary of the file, mime type """ - message_file = ( + message_file: MessageFile | None = ( db.session.query(MessageFile) .filter( MessageFile.id == id, @@ -177,7 +177,7 @@ def get_file_binary_by_message_file_id(id: str) -> Union[tuple[bytes, str], None else: tool_file_id = None - tool_file = ( + tool_file: ToolFile | None = ( db.session.query(ToolFile) .filter( ToolFile.id == tool_file_id, @@ -201,7 +201,7 @@ def get_file_generator_by_tool_file_id(tool_file_id: str): :return: the binary of the file, mime type """ - tool_file = ( + tool_file: ToolFile | None = ( db.session.query(ToolFile) .filter( ToolFile.id == tool_file_id, diff --git a/api/core/tools/tool_label_manager.py b/api/core/tools/tool_label_manager.py index e53985951b0627..4787d7d79cba89 100644 --- a/api/core/tools/tool_label_manager.py +++ b/api/core/tools/tool_label_manager.py @@ -1,8 +1,8 @@ +from core.tools.__base.tool_provider import ToolProviderController +from core.tools.builtin_tool.provider import BuiltinToolProviderController +from core.tools.custom_tool.provider import ApiToolProviderController from core.tools.entities.values import default_tool_label_name_list -from core.tools.provider.api_tool_provider import ApiToolProviderController -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController +from core.tools.workflow_as_tool.provider import WorkflowToolProviderController from extensions.ext_database import db from models.tools import ToolLabelBinding @@ -55,7 +55,7 @@ def get_tool_labels(cls, controller: ToolProviderController) -> list[str]: else: raise ValueError("Unsupported tool type") - labels: list[ToolLabelBinding] = ( + labels = ( db.session.query(ToolLabelBinding.label_name) .filter( ToolLabelBinding.tool_id == provider_id, @@ -84,11 +84,10 @@ def get_tools_labels(cls, tool_providers: list[ToolProviderController]) -> dict[ if not isinstance(controller, ApiToolProviderController | WorkflowToolProviderController): raise ValueError("Unsupported tool type") - provider_ids = [ - controller.provider_id - for controller in tool_providers - if isinstance(controller, (ApiToolProviderController, WorkflowToolProviderController)) - ] + provider_ids = [] + for controller in tool_providers: + assert isinstance(controller, ApiToolProviderController | WorkflowToolProviderController) + provider_ids.append(controller.provider_id) labels: list[ToolLabelBinding] = ( db.session.query(ToolLabelBinding).filter(ToolLabelBinding.tool_id.in_(provider_ids)).all() diff --git a/api/core/tools/tool_manager.py b/api/core/tools/tool_manager.py index 5b2173a4d0ad69..df99c82d2bf9a6 100644 --- a/api/core/tools/tool_manager.py +++ b/api/core/tools/tool_manager.py @@ -3,8 +3,23 @@ import mimetypes from collections.abc import Generator from os import listdir, path -from threading import Lock, Thread -from typing import Any, Optional, Union, cast +from threading import Lock +from typing import TYPE_CHECKING, Any, Union, cast + +from yarl import URL + +import contexts +from core.plugin.entities.plugin import GenericProviderID +from core.plugin.manager.tool import PluginToolManager +from core.tools.__base.tool_provider import ToolProviderController +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.plugin_tool.provider import PluginToolProviderController +from core.tools.plugin_tool.tool import PluginTool +from core.tools.workflow_as_tool.provider import WorkflowToolProviderController + +if TYPE_CHECKING: + from core.workflow.nodes.tool.entities import ToolEntity + from configs import dify_config from core.agent.entities import AgentToolEntity @@ -12,21 +27,27 @@ from core.helper.module_import_helper import load_single_subclass_from_source from core.helper.position_helper import is_filtered from core.model_runtime.utils.encoders import jsonable_encoder -from core.tools.entities.api_entities import UserToolProvider, UserToolProviderTypeLiteral +from core.tools.__base.tool import Tool +from core.tools.builtin_tool.provider import BuiltinToolProviderController +from core.tools.builtin_tool.providers._positions import BuiltinToolProviderSort +from core.tools.builtin_tool.tool import BuiltinTool +from core.tools.custom_tool.provider import ApiToolProviderController +from core.tools.custom_tool.tool import ApiTool +from core.tools.entities.api_entities import ToolProviderApiEntity, ToolProviderTypeApiLiteral from core.tools.entities.common_entities import I18nObject -from core.tools.entities.tool_entities import ApiProviderAuthType, ToolInvokeFrom, ToolParameter +from core.tools.entities.tool_entities import ( + ApiProviderAuthType, + ToolInvokeFrom, + ToolParameter, + ToolProviderType, +) from core.tools.errors import ToolNotFoundError, ToolProviderNotFoundError -from core.tools.provider.api_tool_provider import ApiToolProviderController -from core.tools.provider.builtin._positions import BuiltinToolProviderSort -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController -from core.tools.tool.api_tool import ApiTool -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.tool.tool import Tool from core.tools.tool_label_manager import ToolLabelManager -from core.tools.utils.configuration import ToolConfigurationManager, ToolParameterConfigurationManager -from core.workflow.nodes.tool.entities import ToolEntity +from core.tools.utils.configuration import ( + ProviderConfigEncrypter, + ToolParameterConfigurationManager, +) +from core.tools.workflow_as_tool.tool import WorkflowTool from extensions.ext_database import db from models.tools import ApiToolProvider, BuiltinToolProvider, WorkflowToolProvider from services.tools.tools_transform_service import ToolTransformService @@ -36,79 +57,106 @@ class ToolManager: _builtin_provider_lock = Lock() - _builtin_providers: dict[str, BuiltinToolProviderController] = {} + _hardcoded_providers: dict[str, BuiltinToolProviderController] = {} _builtin_providers_loaded = False _builtin_tools_labels: dict[str, Union[I18nObject, None]] = {} @classmethod - def get_builtin_provider(cls, provider: str) -> BuiltinToolProviderController: + def get_hardcoded_provider(cls, provider: str) -> BuiltinToolProviderController: + """ + get the hardcoded provider + """ + if len(cls._hardcoded_providers) == 0: + # init the builtin providers + cls.load_hardcoded_providers_cache() + + return cls._hardcoded_providers[provider] + + @classmethod + def get_builtin_provider( + cls, provider: str, tenant_id: str + ) -> BuiltinToolProviderController | PluginToolProviderController: """ get the builtin provider :param provider: the name of the provider + :param tenant_id: the id of the tenant :return: the provider """ - if len(cls._builtin_providers) == 0: + # split provider to + + if len(cls._hardcoded_providers) == 0: # init the builtin providers - cls.load_builtin_providers_cache() + cls.load_hardcoded_providers_cache() + + if provider not in cls._hardcoded_providers: + # get plugin provider + plugin_provider = cls.get_plugin_provider(provider, tenant_id) + if plugin_provider: + return plugin_provider + + return cls._hardcoded_providers[provider] + + @classmethod + def get_plugin_provider(cls, provider: str, tenant_id: str) -> PluginToolProviderController: + """ + get the plugin provider + """ + # check if context is set + try: + contexts.plugin_tool_providers.get() + except LookupError: + contexts.plugin_tool_providers.set({}) + contexts.plugin_tool_providers_lock.set(Lock()) + + with contexts.plugin_tool_providers_lock.get(): + plugin_tool_providers = contexts.plugin_tool_providers.get() + if provider in plugin_tool_providers: + return plugin_tool_providers[provider] + + manager = PluginToolManager() + provider_entity = manager.fetch_tool_provider(tenant_id, provider) + if not provider_entity: + raise ToolProviderNotFoundError(f"plugin provider {provider} not found") + + controller = PluginToolProviderController( + entity=provider_entity.declaration, + plugin_id=provider_entity.plugin_id, + plugin_unique_identifier=provider_entity.plugin_unique_identifier, + tenant_id=tenant_id, + ) - if provider not in cls._builtin_providers: - raise ToolProviderNotFoundError(f"builtin provider {provider} not found") + plugin_tool_providers[provider] = controller - return cls._builtin_providers[provider] + return controller @classmethod - def get_builtin_tool(cls, provider: str, tool_name: str) -> Union[BuiltinTool, Tool]: + def get_builtin_tool(cls, provider: str, tool_name: str, tenant_id: str) -> BuiltinTool | PluginTool | None: """ get the builtin tool :param provider: the name of the provider :param tool_name: the name of the tool - + :param tenant_id: the id of the tenant :return: the provider, the tool """ - provider_controller = cls.get_builtin_provider(provider) + provider_controller = cls.get_builtin_provider(provider, tenant_id) tool = provider_controller.get_tool(tool_name) if tool is None: raise ToolNotFoundError(f"tool {tool_name} not found") return tool - @classmethod - def get_tool( - cls, provider_type: str, provider_id: str, tool_name: str, tenant_id: Optional[str] = None - ) -> Union[BuiltinTool, ApiTool, Tool]: - """ - get the tool - - :param provider_type: the type of the provider - :param provider_name: the name of the provider - :param tool_name: the name of the tool - - :return: the tool - """ - if provider_type == "builtin": - return cls.get_builtin_tool(provider_id, tool_name) - elif provider_type == "api": - if tenant_id is None: - raise ValueError("tenant id is required for api provider") - api_provider, _ = cls.get_api_provider_controller(tenant_id, provider_id) - return api_provider.get_tool(tool_name) - elif provider_type == "app": - raise NotImplementedError("app provider not implemented") - else: - raise ToolProviderNotFoundError(f"provider type {provider_type} not found") - @classmethod def get_tool_runtime( cls, - provider_type: str, + provider_type: ToolProviderType, provider_id: str, tool_name: str, tenant_id: str, invoke_from: InvokeFrom = InvokeFrom.DEBUGGER, tool_invoke_from: ToolInvokeFrom = ToolInvokeFrom.AGENT, - ) -> Union[BuiltinTool, ApiTool, Tool]: + ) -> Union[BuiltinTool, PluginTool, ApiTool, WorkflowTool]: """ get the tool runtime @@ -118,72 +166,101 @@ def get_tool_runtime( :return: the tool """ - controller: Union[BuiltinToolProviderController, ApiToolProviderController, WorkflowToolProviderController] - if provider_type == "builtin": - builtin_tool = cls.get_builtin_tool(provider_id, tool_name) - + if provider_type == ToolProviderType.BUILT_IN: # check if the builtin tool need credentials - provider_controller = cls.get_builtin_provider(provider_id) + provider_controller = cls.get_builtin_provider(provider_id, tenant_id) + + builtin_tool = provider_controller.get_tool(tool_name) + if not builtin_tool: + raise ToolProviderNotFoundError(f"builtin tool {tool_name} not found") + if not provider_controller.need_credentials: - return builtin_tool.fork_tool_runtime( - runtime={ - "tenant_id": tenant_id, - "credentials": {}, - "invoke_from": invoke_from, - "tool_invoke_from": tool_invoke_from, - } + return cast( + BuiltinTool, + builtin_tool.fork_tool_runtime( + runtime=ToolRuntime( + tenant_id=tenant_id, + credentials={}, + invoke_from=invoke_from, + tool_invoke_from=tool_invoke_from, + ) + ), ) - # get credentials - builtin_provider: Optional[BuiltinToolProvider] = ( - db.session.query(BuiltinToolProvider) - .filter( - BuiltinToolProvider.tenant_id == tenant_id, - BuiltinToolProvider.provider == provider_id, + if isinstance(provider_controller, PluginToolProviderController): + provider_id_entity = GenericProviderID(provider_id) + # get credentials + builtin_provider: BuiltinToolProvider | None = ( + db.session.query(BuiltinToolProvider) + .filter( + BuiltinToolProvider.tenant_id == tenant_id, + (BuiltinToolProvider.provider == provider_id) + | (BuiltinToolProvider.provider == provider_id_entity.provider_name), + ) + .first() ) - .first() - ) - if builtin_provider is None: - raise ToolProviderNotFoundError(f"builtin provider {provider_id} not found") + if builtin_provider is None: + raise ToolProviderNotFoundError(f"builtin provider {provider_id} not found") + else: + builtin_provider = ( + db.session.query(BuiltinToolProvider) + .filter(BuiltinToolProvider.tenant_id == tenant_id, (BuiltinToolProvider.provider == provider_id)) + .first() + ) + + if builtin_provider is None: + raise ToolProviderNotFoundError(f"builtin provider {provider_id} not found") # decrypt the credentials credentials = builtin_provider.credentials - controller = cls.get_builtin_provider(provider_id) - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=controller) - - decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials) - - return builtin_tool.fork_tool_runtime( - runtime={ - "tenant_id": tenant_id, - "credentials": decrypted_credentials, - "runtime_parameters": {}, - "invoke_from": invoke_from, - "tool_invoke_from": tool_invoke_from, - } + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, ) - elif provider_type == "api": - if tenant_id is None: - raise ValueError("tenant id is required for api provider") + decrypted_credentials = tool_configuration.decrypt(credentials) + + return cast( + BuiltinTool, + builtin_tool.fork_tool_runtime( + runtime=ToolRuntime( + tenant_id=tenant_id, + credentials=decrypted_credentials, + runtime_parameters={}, + invoke_from=invoke_from, + tool_invoke_from=tool_invoke_from, + ) + ), + ) + elif provider_type == ToolProviderType.API: api_provider, credentials = cls.get_api_provider_controller(tenant_id, provider_id) # decrypt the credentials - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=api_provider) - decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials) - - return api_provider.get_tool(tool_name).fork_tool_runtime( - runtime={ - "tenant_id": tenant_id, - "credentials": decrypted_credentials, - "invoke_from": invoke_from, - "tool_invoke_from": tool_invoke_from, - } + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in api_provider.get_credentials_schema()], + provider_type=api_provider.provider_type.value, + provider_identity=api_provider.entity.identity.name, + ) + decrypted_credentials = tool_configuration.decrypt(credentials) + + return cast( + ApiTool, + api_provider.get_tool(tool_name).fork_tool_runtime( + runtime=ToolRuntime( + tenant_id=tenant_id, + credentials=decrypted_credentials, + invoke_from=invoke_from, + tool_invoke_from=tool_invoke_from, + ) + ), ) - elif provider_type == "workflow": - workflow_provider: Optional[WorkflowToolProvider] = ( + elif provider_type == ToolProviderType.WORKFLOW: + workflow_provider = ( db.session.query(WorkflowToolProvider) .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == provider_id) .first() @@ -193,50 +270,35 @@ def get_tool_runtime( raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found") controller = ToolTransformService.workflow_provider_to_controller(db_provider=workflow_provider) - controller_tools: Optional[list[Tool]] = controller.get_tools( - user_id="", tenant_id=workflow_provider.tenant_id - ) + controller_tools: list[WorkflowTool] = controller.get_tools(tenant_id=workflow_provider.tenant_id) if controller_tools is None or len(controller_tools) == 0: raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found") - return controller_tools[0].fork_tool_runtime( - runtime={ - "tenant_id": tenant_id, - "credentials": {}, - "invoke_from": invoke_from, - "tool_invoke_from": tool_invoke_from, - } + return cast( + WorkflowTool, + controller.get_tools(tenant_id=workflow_provider.tenant_id)[0].fork_tool_runtime( + runtime=ToolRuntime( + tenant_id=tenant_id, + credentials={}, + invoke_from=invoke_from, + tool_invoke_from=tool_invoke_from, + ) + ), ) - elif provider_type == "app": + elif provider_type == ToolProviderType.APP: raise NotImplementedError("app provider not implemented") + elif provider_type == ToolProviderType.PLUGIN: + return cls.get_plugin_provider(provider_id, tenant_id).get_tool(tool_name) else: - raise ToolProviderNotFoundError(f"provider type {provider_type} not found") - - @classmethod - def _init_runtime_parameter(cls, parameter_rule: ToolParameter, parameters: dict): - """ - init runtime parameter - """ - parameter_value = parameters.get(parameter_rule.name) - if not parameter_value and parameter_value != 0: - # get default value - parameter_value = parameter_rule.default - if not parameter_value and parameter_rule.required: - raise ValueError(f"tool parameter {parameter_rule.name} not found in tool config") - - if parameter_rule.type == ToolParameter.ToolParameterType.SELECT: - # check if tool_parameter_config in options - options = [x.value for x in parameter_rule.options or []] - if parameter_value is not None and parameter_value not in options: - raise ValueError( - f"tool parameter {parameter_rule.name} value {parameter_value} not in options {options}" - ) - - return parameter_rule.type.cast_value(parameter_value) + raise ToolProviderNotFoundError(f"provider type {provider_type.value} not found") @classmethod def get_agent_tool_runtime( - cls, tenant_id: str, app_id: str, agent_tool: AgentToolEntity, invoke_from: InvokeFrom = InvokeFrom.DEBUGGER + cls, + tenant_id: str, + app_id: str, + agent_tool: AgentToolEntity, + invoke_from: InvokeFrom = InvokeFrom.DEBUGGER, ) -> Tool: """ get the agent tool runtime @@ -250,7 +312,7 @@ def get_agent_tool_runtime( tool_invoke_from=ToolInvokeFrom.AGENT, ) runtime_parameters = {} - parameters = tool_entity.get_all_runtime_parameters() + parameters = tool_entity.get_merged_runtime_parameters() for parameter in parameters: # check file types if ( @@ -266,7 +328,7 @@ def get_agent_tool_runtime( if parameter.form == ToolParameter.ToolParameterForm.FORM: # save tool parameter to tool entity memory - value = cls._init_runtime_parameter(parameter, agent_tool.tool_parameters) + value = parameter.init_frontend_parameter(agent_tool.tool_parameters.get(parameter.name)) runtime_parameters[parameter.name] = value # decrypt runtime parameters @@ -296,7 +358,7 @@ def get_workflow_tool_runtime( """ get the workflow tool runtime """ - tool_entity = cls.get_tool_runtime( + tool_runtime = cls.get_tool_runtime( provider_type=workflow_tool.provider_type, provider_id=workflow_tool.provider_id, tool_name=workflow_tool.tool_name, @@ -305,18 +367,18 @@ def get_workflow_tool_runtime( tool_invoke_from=ToolInvokeFrom.WORKFLOW, ) runtime_parameters = {} - parameters = tool_entity.get_all_runtime_parameters() + parameters = tool_runtime.get_merged_runtime_parameters() for parameter in parameters: # save tool parameter to tool entity memory if parameter.form == ToolParameter.ToolParameterForm.FORM: - value = cls._init_runtime_parameter(parameter, workflow_tool.tool_configurations) + value = parameter.init_frontend_parameter(workflow_tool.tool_configurations.get(parameter.name)) runtime_parameters[parameter.name] = value # decrypt runtime parameters encryption_manager = ToolParameterConfigurationManager( tenant_id=tenant_id, - tool_runtime=tool_entity, + tool_runtime=tool_runtime, provider_name=workflow_tool.provider_id, provider_type=workflow_tool.provider_type, identity_id=f"WORKFLOW.{app_id}.{node_id}", @@ -325,33 +387,60 @@ def get_workflow_tool_runtime( if runtime_parameters: runtime_parameters = encryption_manager.decrypt_tool_parameters(runtime_parameters) - if tool_entity.runtime is None or tool_entity.runtime.runtime_parameters is None: - raise ValueError("runtime not found or runtime parameters not found") + tool_runtime.runtime.runtime_parameters.update(runtime_parameters) + return tool_runtime + + @classmethod + def get_tool_runtime_from_plugin( + cls, + tool_type: ToolProviderType, + tenant_id: str, + provider: str, + tool_name: str, + tool_parameters: dict[str, Any], + ) -> Tool: + """ + get tool runtime from plugin + """ + tool_entity = cls.get_tool_runtime( + provider_type=tool_type, + provider_id=provider, + tool_name=tool_name, + tenant_id=tenant_id, + invoke_from=InvokeFrom.SERVICE_API, + tool_invoke_from=ToolInvokeFrom.PLUGIN, + ) + runtime_parameters = {} + parameters = tool_entity.get_merged_runtime_parameters() + for parameter in parameters: + if parameter.form == ToolParameter.ToolParameterForm.FORM: + # save tool parameter to tool entity memory + value = parameter.init_frontend_parameter(tool_parameters.get(parameter.name)) + runtime_parameters[parameter.name] = value tool_entity.runtime.runtime_parameters.update(runtime_parameters) return tool_entity @classmethod - def get_builtin_provider_icon(cls, provider: str) -> tuple[str, str]: + def get_hardcoded_provider_icon(cls, provider: str) -> tuple[str, str]: """ - get the absolute path of the icon of the builtin provider + get the absolute path of the icon of the hardcoded provider :param provider: the name of the provider + :param tenant_id: the id of the tenant :return: the absolute path of the icon, the mime type of the icon """ # get provider - provider_controller = cls.get_builtin_provider(provider) - if provider_controller.identity is None: - raise ToolProviderNotFoundError(f"builtin provider {provider} not found") + provider_controller = cls.get_hardcoded_provider(provider) absolute_path = path.join( path.dirname(path.realpath(__file__)), - "provider", - "builtin", + "builtin_tool", + "providers", provider, "_assets", - provider_controller.identity.icon, + provider_controller.entity.identity.icon, ) # check if the icon exists if not path.exists(absolute_path): @@ -364,65 +453,93 @@ def get_builtin_provider_icon(cls, provider: str) -> tuple[str, str]: return absolute_path, mime_type @classmethod - def list_builtin_providers(cls) -> Generator[BuiltinToolProviderController, None, None]: + def list_hardcoded_providers(cls): # use cache first if cls._builtin_providers_loaded: - yield from list(cls._builtin_providers.values()) + yield from list(cls._hardcoded_providers.values()) return with cls._builtin_provider_lock: if cls._builtin_providers_loaded: - yield from list(cls._builtin_providers.values()) + yield from list(cls._hardcoded_providers.values()) return - yield from cls._list_builtin_providers() + yield from cls._list_hardcoded_providers() + + @classmethod + def list_plugin_providers(cls, tenant_id: str) -> list[PluginToolProviderController]: + """ + list all the plugin providers + """ + manager = PluginToolManager() + provider_entities = manager.fetch_tool_providers(tenant_id) + return [ + PluginToolProviderController( + entity=provider.declaration, + plugin_id=provider.plugin_id, + plugin_unique_identifier=provider.plugin_unique_identifier, + tenant_id=tenant_id, + ) + for provider in provider_entities + ] + + @classmethod + def list_builtin_providers( + cls, tenant_id: str + ) -> Generator[BuiltinToolProviderController | PluginToolProviderController, None, None]: + """ + list all the builtin providers + """ + yield from cls.list_hardcoded_providers() + # get plugin providers + yield from cls.list_plugin_providers(tenant_id) @classmethod - def _list_builtin_providers(cls) -> Generator[BuiltinToolProviderController, None, None]: + def _list_hardcoded_providers(cls) -> Generator[BuiltinToolProviderController, None, None]: """ list all the builtin providers """ - for provider in listdir(path.join(path.dirname(path.realpath(__file__)), "provider", "builtin")): - if provider.startswith("__"): + for provider_path in listdir(path.join(path.dirname(path.realpath(__file__)), "builtin_tool", "providers")): + if provider_path.startswith("__"): continue - if path.isdir(path.join(path.dirname(path.realpath(__file__)), "provider", "builtin", provider)): - if provider.startswith("__"): + if path.isdir(path.join(path.dirname(path.realpath(__file__)), "builtin_tool", "providers", provider_path)): + if provider_path.startswith("__"): continue # init provider try: provider_class = load_single_subclass_from_source( - module_name=f"core.tools.provider.builtin.{provider}.{provider}", + module_name=f"core.tools.builtin_tool.providers.{provider_path}.{provider_path}", script_path=path.join( - path.dirname(path.realpath(__file__)), "provider", "builtin", provider, f"{provider}.py" + path.dirname(path.realpath(__file__)), + "builtin_tool", + "providers", + provider_path, + f"{provider_path}.py", ), parent_type=BuiltinToolProviderController, ) - provider_controller: BuiltinToolProviderController = provider_class() - if provider_controller.identity is None: - continue - cls._builtin_providers[provider_controller.identity.name] = provider_controller - for tool in provider_controller.get_tools() or []: - if tool.identity is None: - continue - cls._builtin_tools_labels[tool.identity.name] = tool.identity.label - yield provider_controller - - except Exception as e: + provider: BuiltinToolProviderController = provider_class() + cls._hardcoded_providers[provider.entity.identity.name] = provider + for tool in provider.get_tools(): + cls._builtin_tools_labels[tool.entity.identity.name] = tool.entity.identity.label + yield provider + + except Exception: logger.exception(f"load builtin provider {provider}") continue # set builtin providers loaded cls._builtin_providers_loaded = True @classmethod - def load_builtin_providers_cache(cls): - for _ in cls.list_builtin_providers(): + def load_hardcoded_providers_cache(cls): + for _ in cls.list_hardcoded_providers(): pass @classmethod - def clear_builtin_providers_cache(cls): - cls._builtin_providers = {} + def clear_hardcoded_providers_cache(cls): + cls._hardcoded_providers = {} cls._builtin_providers_loaded = False @classmethod @@ -436,7 +553,7 @@ def get_tool_label(cls, tool_name: str) -> Union[I18nObject, None]: """ if len(cls._builtin_tools_labels) == 0: # init the builtin providers - cls.load_builtin_providers_cache() + cls.load_hardcoded_providers_cache() if tool_name not in cls._builtin_tools_labels: return None @@ -444,10 +561,10 @@ def get_tool_label(cls, tool_name: str) -> Union[I18nObject, None]: return cls._builtin_tools_labels[tool_name] @classmethod - def user_list_providers( - cls, user_id: str, tenant_id: str, typ: UserToolProviderTypeLiteral - ) -> list[UserToolProvider]: - result_providers: dict[str, UserToolProvider] = {} + def list_providers_from_api( + cls, user_id: str, tenant_id: str, typ: ToolProviderTypeApiLiteral + ) -> list[ToolProviderApiEntity]: + result_providers: dict[str, ToolProviderApiEntity] = {} filters = [] if not typ: @@ -457,22 +574,24 @@ def user_list_providers( if "builtin" in filters: # get builtin providers - builtin_providers = cls.list_builtin_providers() + builtin_providers = cls.list_builtin_providers(tenant_id) # get db builtin providers db_builtin_providers: list[BuiltinToolProvider] = ( db.session.query(BuiltinToolProvider).filter(BuiltinToolProvider.tenant_id == tenant_id).all() ) - find_db_builtin_provider = lambda provider: next( - (x for x in db_builtin_providers if x.provider == provider), None - ) + # rewrite db_builtin_providers + for db_provider in db_builtin_providers: + tool_provider_id = GenericProviderID(db_provider.provider) + db_provider.provider = tool_provider_id.to_string() + + def find_db_builtin_provider(provider): + return next((x for x in db_builtin_providers if x.provider == provider), None) # append builtin providers for provider in builtin_providers: # handle include, exclude - if provider.identity is None: - continue if is_filtered( include_set=cast(set[str], dify_config.POSITION_TOOL_INCLUDES_SET), exclude_set=cast(set[str], dify_config.POSITION_TOOL_EXCLUDES_SET), @@ -483,11 +602,14 @@ def user_list_providers( user_provider = ToolTransformService.builtin_provider_to_user_provider( provider_controller=provider, - db_provider=find_db_builtin_provider(provider.identity.name), + db_provider=find_db_builtin_provider(provider.entity.identity.name), decrypt_credentials=False, ) - result_providers[provider.identity.name] = user_provider + if isinstance(provider, PluginToolProviderController): + result_providers[f"plugin_provider.{user_provider.name}"] = user_provider + else: + result_providers[f"builtin_provider.{user_provider.name}"] = user_provider # get db api providers @@ -525,7 +647,7 @@ def user_list_providers( workflow_provider_controllers.append( ToolTransformService.workflow_provider_to_controller(db_provider=provider) ) - except Exception as e: + except Exception: # app has been deleted pass @@ -553,7 +675,7 @@ def get_api_provider_controller( :return: the provider controller, the credentials """ - provider: Optional[ApiToolProvider] = ( + provider: ApiToolProvider | None = ( db.session.query(ApiToolProvider) .filter( ApiToolProvider.id == provider_id, @@ -582,7 +704,7 @@ def user_get_api_provider(cls, provider: str, tenant_id: str) -> dict: get tool provider """ provider_name = provider - provider_tool: Optional[ApiToolProvider] = ( + provider_obj: ApiToolProvider | None = ( db.session.query(ApiToolProvider) .filter( ApiToolProvider.tenant_id == tenant_id, @@ -591,28 +713,33 @@ def user_get_api_provider(cls, provider: str, tenant_id: str) -> dict: .first() ) - if provider_tool is None: + if provider_obj is None: raise ValueError(f"you have not added provider {provider_name}") try: - credentials = json.loads(provider_tool.credentials_str) or {} - except: + credentials = json.loads(provider_obj.credentials_str) or {} + except Exception: credentials = {} # package tool provider controller controller = ApiToolProviderController.from_db( - provider_tool, + provider_obj, ApiProviderAuthType.API_KEY if credentials["auth_type"] == "api_key" else ApiProviderAuthType.NONE, ) # init tool configuration - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=controller) + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in controller.get_credentials_schema()], + provider_type=controller.provider_type.value, + provider_identity=controller.entity.identity.name, + ) - decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials) + decrypted_credentials = tool_configuration.decrypt(credentials) masked_credentials = tool_configuration.mask_tool_credentials(decrypted_credentials) try: - icon = json.loads(provider_tool.icon) - except: + icon = json.loads(provider_obj.icon) + except Exception: icon = {"background": "#252525", "content": "\ud83d\ude01"} # add tool labels @@ -622,21 +749,82 @@ def user_get_api_provider(cls, provider: str, tenant_id: str) -> dict: dict, jsonable_encoder( { - "schema_type": provider_tool.schema_type, - "schema": provider_tool.schema, - "tools": provider_tool.tools, + "schema_type": provider_obj.schema_type, + "schema": provider_obj.schema, + "tools": provider_obj.tools, "icon": icon, - "description": provider_tool.description, + "description": provider_obj.description, "credentials": masked_credentials, - "privacy_policy": provider_tool.privacy_policy, - "custom_disclaimer": provider_tool.custom_disclaimer, + "privacy_policy": provider_obj.privacy_policy, + "custom_disclaimer": provider_obj.custom_disclaimer, "labels": labels, } ), ) @classmethod - def get_tool_icon(cls, tenant_id: str, provider_type: str, provider_id: str) -> Union[str, dict]: + def generate_builtin_tool_icon_url(cls, provider_id: str) -> str: + return ( + dify_config.CONSOLE_API_URL + + "/console/api/workspaces/current/tool-provider/builtin/" + + provider_id + + "/icon" + ) + + @classmethod + def generate_plugin_tool_icon_url(cls, tenant_id: str, filename: str) -> str: + return str( + URL(dify_config.CONSOLE_API_URL) + / "console" + / "api" + / "workspaces" + / "current" + / "plugin" + / "icon" + % {"tenant_id": tenant_id, "filename": filename} + ) + + @classmethod + def generate_workflow_tool_icon_url(cls, tenant_id: str, provider_id: str) -> dict: + try: + workflow_provider: WorkflowToolProvider | None = ( + db.session.query(WorkflowToolProvider) + .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == provider_id) + .first() + ) + + if workflow_provider is None: + raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found") + + icon: dict = json.loads(workflow_provider.icon) + return icon + except Exception: + return {"background": "#252525", "content": "\ud83d\ude01"} + + @classmethod + def generate_api_tool_icon_url(cls, tenant_id: str, provider_id: str) -> dict: + try: + api_provider: ApiToolProvider | None = ( + db.session.query(ApiToolProvider) + .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.id == provider_id) + .first() + ) + + if api_provider is None: + raise ToolProviderNotFoundError(f"api provider {provider_id} not found") + + icon: dict = json.loads(api_provider.icon) + return icon + except Exception: + return {"background": "#252525", "content": "\ud83d\ude01"} + + @classmethod + def get_tool_icon( + cls, + tenant_id: str, + provider_type: ToolProviderType, + provider_id: str, + ) -> Union[str, dict]: """ get the tool icon @@ -647,48 +835,28 @@ def get_tool_icon(cls, tenant_id: str, provider_type: str, provider_id: str) -> """ provider_type = provider_type provider_id = provider_id - provider: Optional[Union[BuiltinToolProvider, ApiToolProvider, WorkflowToolProvider]] = None - if provider_type == "builtin": - return ( - dify_config.CONSOLE_API_URL - + "/console/api/workspaces/current/tool-provider/builtin/" - + provider_id - + "/icon" - ) - elif provider_type == "api": - try: - provider = ( - db.session.query(ApiToolProvider) - .filter(ApiToolProvider.tenant_id == tenant_id, ApiToolProvider.id == provider_id) - .first() - ) - if provider is None: - raise ToolProviderNotFoundError(f"api provider {provider_id} not found") - icon = json.loads(provider.icon) - if isinstance(icon, (str, dict)): - return icon - return {"background": "#252525", "content": "\ud83d\ude01"} - except: - return {"background": "#252525", "content": "\ud83d\ude01"} - elif provider_type == "workflow": - provider = ( - db.session.query(WorkflowToolProvider) - .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == provider_id) - .first() - ) - if provider is None: - raise ToolProviderNotFoundError(f"workflow provider {provider_id} not found") - - try: - icon = json.loads(provider.icon) - if isinstance(icon, (str, dict)): - return icon - return {"background": "#252525", "content": "\ud83d\ude01"} - except: - return {"background": "#252525", "content": "\ud83d\ude01"} + if provider_type == ToolProviderType.BUILT_IN: + provider = ToolManager.get_builtin_provider(provider_id, tenant_id) + if isinstance(provider, PluginToolProviderController): + try: + return cls.generate_plugin_tool_icon_url(tenant_id, provider.entity.identity.icon) + except Exception: + return {"background": "#252525", "content": "\ud83d\ude01"} + return cls.generate_builtin_tool_icon_url(provider_id) + elif provider_type == ToolProviderType.API: + return cls.generate_api_tool_icon_url(tenant_id, provider_id) + elif provider_type == ToolProviderType.WORKFLOW: + return cls.generate_workflow_tool_icon_url(tenant_id, provider_id) + elif provider_type == ToolProviderType.PLUGIN: + provider = ToolManager.get_builtin_provider(provider_id, tenant_id) + if isinstance(provider, PluginToolProviderController): + try: + return cls.generate_plugin_tool_icon_url(tenant_id, provider.entity.identity.icon) + except Exception: + return {"background": "#252525", "content": "\ud83d\ude01"} + raise ValueError(f"plugin provider {provider_id} not found") else: raise ValueError(f"provider type {provider_type} not found") -# preload builtin tool providers -Thread(target=ToolManager.load_builtin_providers_cache, name="pre_load_builtin_providers_cache", daemon=True).start() +ToolManager.load_hardcoded_providers_cache() diff --git a/api/core/tools/utils/configuration.py b/api/core/tools/utils/configuration.py index d7720928644701..6a5fba65bd92e0 100644 --- a/api/core/tools/utils/configuration.py +++ b/api/core/tools/utils/configuration.py @@ -3,115 +3,120 @@ from pydantic import BaseModel +from core.entities.provider_entities import BasicProviderConfig from core.helper import encrypter from core.helper.tool_parameter_cache import ToolParameterCache, ToolParameterCacheType from core.helper.tool_provider_cache import ToolProviderCredentialsCache, ToolProviderCredentialsCacheType +from core.tools.__base.tool import Tool from core.tools.entities.tool_entities import ( ToolParameter, - ToolProviderCredentials, + ToolProviderType, ) -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.tool.tool import Tool -class ToolConfigurationManager(BaseModel): +class ProviderConfigEncrypter(BaseModel): tenant_id: str - provider_controller: ToolProviderController + config: list[BasicProviderConfig] + provider_type: str + provider_identity: str - def _deep_copy(self, credentials: dict[str, str]) -> dict[str, str]: + def _deep_copy(self, data: dict[str, str]) -> dict[str, str]: """ - deep copy credentials + deep copy data """ - return deepcopy(credentials) + return deepcopy(data) - def encrypt_tool_credentials(self, credentials: dict[str, str]) -> dict[str, str]: + def encrypt(self, data: dict[str, str]) -> dict[str, str]: """ encrypt tool credentials with tenant id return a deep copy of credentials with encrypted values """ - credentials = self._deep_copy(credentials) + data = self._deep_copy(data) # get fields need to be decrypted - fields = self.provider_controller.get_credentials_schema() + fields = dict[str, BasicProviderConfig]() + for credential in self.config: + fields[credential.name] = credential + for field_name, field in fields.items(): - if field.type == ToolProviderCredentials.CredentialsType.SECRET_INPUT: - if field_name in credentials: - encrypted = encrypter.encrypt_token(self.tenant_id, credentials[field_name]) - credentials[field_name] = encrypted + if field.type == BasicProviderConfig.Type.SECRET_INPUT: + if field_name in data: + encrypted = encrypter.encrypt_token(self.tenant_id, data[field_name] or "") + data[field_name] = encrypted - return credentials + return data - def mask_tool_credentials(self, credentials: dict[str, Any]) -> dict[str, Any]: + def mask_tool_credentials(self, data: dict[str, Any]) -> dict[str, Any]: """ mask tool credentials return a deep copy of credentials with masked values """ - credentials = self._deep_copy(credentials) + data = self._deep_copy(data) # get fields need to be decrypted - fields = self.provider_controller.get_credentials_schema() + fields = dict[str, BasicProviderConfig]() + for credential in self.config: + fields[credential.name] = credential + for field_name, field in fields.items(): - if field.type == ToolProviderCredentials.CredentialsType.SECRET_INPUT: - if field_name in credentials: - if len(credentials[field_name]) > 6: - credentials[field_name] = ( - credentials[field_name][:2] - + "*" * (len(credentials[field_name]) - 4) - + credentials[field_name][-2:] + if field.type == BasicProviderConfig.Type.SECRET_INPUT: + if field_name in data: + if len(data[field_name]) > 6: + data[field_name] = ( + data[field_name][:2] + "*" * (len(data[field_name]) - 4) + data[field_name][-2:] ) else: - credentials[field_name] = "*" * len(credentials[field_name]) + data[field_name] = "*" * len(data[field_name]) - return credentials + return data - def decrypt_tool_credentials(self, credentials: dict[str, str]) -> dict[str, str]: + def decrypt(self, data: dict[str, str]) -> dict[str, str]: """ decrypt tool credentials with tenant id return a deep copy of credentials with decrypted values """ - identity_id = "" - if self.provider_controller.identity: - identity_id = f"{self.provider_controller.provider_type.value}.{self.provider_controller.identity.name}" - cache = ToolProviderCredentialsCache( tenant_id=self.tenant_id, - identity_id=identity_id, + identity_id=f"{self.provider_type}.{self.provider_identity}", cache_type=ToolProviderCredentialsCacheType.PROVIDER, ) cached_credentials = cache.get() if cached_credentials: return cached_credentials - credentials = self._deep_copy(credentials) + data = self._deep_copy(data) # get fields need to be decrypted - fields = self.provider_controller.get_credentials_schema() + fields = dict[str, BasicProviderConfig]() + for credential in self.config: + fields[credential.name] = credential + for field_name, field in fields.items(): - if field.type == ToolProviderCredentials.CredentialsType.SECRET_INPUT: - if field_name in credentials: + if field.type == BasicProviderConfig.Type.SECRET_INPUT: + if field_name in data: try: - credentials[field_name] = encrypter.decrypt_token(self.tenant_id, credentials[field_name]) - except: + # if the value is None or empty string, skip decrypt + if not data[field_name]: + continue + + data[field_name] = encrypter.decrypt_token(self.tenant_id, data[field_name]) + except Exception: pass - cache.set(credentials) - return credentials + cache.set(data) + return data def delete_tool_credentials_cache(self): - identity_id = "" - if self.provider_controller.identity: - identity_id = f"{self.provider_controller.provider_type.value}.{self.provider_controller.identity.name}" - cache = ToolProviderCredentialsCache( tenant_id=self.tenant_id, - identity_id=identity_id, + identity_id=f"{self.provider_type}.{self.provider_identity}", cache_type=ToolProviderCredentialsCacheType.PROVIDER, ) cache.delete() -class ToolParameterConfigurationManager(BaseModel): +class ToolParameterConfigurationManager: """ Tool parameter configuration manager """ @@ -119,9 +124,18 @@ class ToolParameterConfigurationManager(BaseModel): tenant_id: str tool_runtime: Tool provider_name: str - provider_type: str + provider_type: ToolProviderType identity_id: str + def __init__( + self, tenant_id: str, tool_runtime: Tool, provider_name: str, provider_type: ToolProviderType, identity_id: str + ) -> None: + self.tenant_id = tenant_id + self.tool_runtime = tool_runtime + self.provider_name = provider_name + self.provider_type = provider_type + self.identity_id = identity_id + def _deep_copy(self, parameters: dict[str, Any]) -> dict[str, Any]: """ deep copy parameters @@ -133,7 +147,7 @@ def _merge_parameters(self) -> list[ToolParameter]: merge parameters """ # get tool parameters - tool_parameters = self.tool_runtime.parameters or [] + tool_parameters = self.tool_runtime.entity.parameters or [] # get tool runtime parameters runtime_parameters = self.tool_runtime.get_runtime_parameters() # override parameters @@ -207,13 +221,11 @@ def decrypt_tool_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]: return a deep copy of parameters with decrypted values """ - if self.tool_runtime is None or self.tool_runtime.identity is None: - raise ValueError("tool_runtime is required") cache = ToolParameterCache( tenant_id=self.tenant_id, - provider=f"{self.provider_type}.{self.provider_name}", - tool_name=self.tool_runtime.identity.name, + provider=f"{self.provider_type.value}.{self.provider_name}", + tool_name=self.tool_runtime.entity.identity.name, cache_type=ToolParameterCacheType.PARAMETER, identity_id=self.identity_id, ) @@ -234,7 +246,7 @@ def decrypt_tool_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]: try: has_secret_input = True parameters[parameter.name] = encrypter.decrypt_token(self.tenant_id, parameters[parameter.name]) - except: + except Exception: pass if has_secret_input: @@ -243,13 +255,10 @@ def decrypt_tool_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]: return parameters def delete_tool_parameters_cache(self): - if self.tool_runtime is None or self.tool_runtime.identity is None: - raise ValueError("tool_runtime is required") - cache = ToolParameterCache( tenant_id=self.tenant_id, - provider=f"{self.provider_type}.{self.provider_name}", - tool_name=self.tool_runtime.identity.name, + provider=f"{self.provider_type.value}.{self.provider_name}", + tool_name=self.tool_runtime.entity.identity.name, cache_type=ToolParameterCacheType.PARAMETER, identity_id=self.identity_id, ) diff --git a/api/core/tools/tool/dataset_retriever/dataset_multi_retriever_tool.py b/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py similarity index 98% rename from api/core/tools/tool/dataset_retriever/dataset_multi_retriever_tool.py rename to api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py index a4afea4b9df429..802bee42176af5 100644 --- a/api/core/tools/tool/dataset_retriever/dataset_multi_retriever_tool.py +++ b/api/core/tools/utils/dataset_retriever/dataset_multi_retriever_tool.py @@ -11,7 +11,7 @@ from core.rag.models.document import Document as RagDocument from core.rag.rerank.rerank_model import RerankModelRunner from core.rag.retrieval.retrieval_methods import RetrievalMethod -from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool +from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool from extensions.ext_database import db from models.dataset import Dataset, Document, DocumentSegment @@ -143,6 +143,8 @@ def _run(self, query: str) -> str: return str("\n".join(document_context_list)) return "" + raise RuntimeError("not segments found") + def _retriever( self, flask_app: Flask, diff --git a/api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py b/api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py similarity index 100% rename from api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py rename to api/core/tools/utils/dataset_retriever/dataset_retriever_base_tool.py diff --git a/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py b/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py similarity index 99% rename from api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py rename to api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py index 8d6e821f4c02e0..946d99ef6ffd87 100644 --- a/api/core/tools/tool/dataset_retriever/dataset_retriever_tool.py +++ b/api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py @@ -6,7 +6,7 @@ from core.rag.entities.context_entities import DocumentContext from core.rag.models.document import Document as RetrievalDocument from core.rag.retrieval.retrieval_methods import RetrievalMethod -from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool +from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool from extensions.ext_database import db from models.dataset import Dataset from models.dataset import Document as DatasetDocument diff --git a/api/core/tools/tool/dataset_retriever_tool.py b/api/core/tools/utils/dataset_retriever_tool.py similarity index 64% rename from api/core/tools/tool/dataset_retriever_tool.py rename to api/core/tools/utils/dataset_retriever_tool.py index 2d7e193e152645..b73dec4ebc5b28 100644 --- a/api/core/tools/tool/dataset_retriever_tool.py +++ b/api/core/tools/utils/dataset_retriever_tool.py @@ -1,29 +1,36 @@ +from collections.abc import Generator from typing import Any, Optional from core.app.app_config.entities import DatasetRetrieveConfigEntity from core.app.entities.app_invoke_entities import InvokeFrom from core.callback_handler.index_tool_callback_handler import DatasetIndexToolCallbackHandler from core.rag.retrieval.dataset_retrieval import DatasetRetrieval +from core.tools.__base.tool import Tool +from core.tools.__base.tool_runtime import ToolRuntime from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ( ToolDescription, + ToolEntity, ToolIdentity, ToolInvokeMessage, ToolParameter, ToolProviderType, ) -from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool -from core.tools.tool.tool import Tool +from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool class DatasetRetrieverTool(Tool): retrieval_tool: DatasetRetrieverBaseTool + def __init__(self, entity: ToolEntity, runtime: ToolRuntime, retrieval_tool: DatasetRetrieverBaseTool) -> None: + super().__init__(entity, runtime) + self.retrieval_tool = retrieval_tool + @staticmethod def get_dataset_tools( tenant_id: str, dataset_ids: list[str], - retrieve_config: Optional[DatasetRetrieveConfigEntity], + retrieve_config: DatasetRetrieveConfigEntity | None, return_resource: bool, invoke_from: InvokeFrom, hit_callback: DatasetIndexToolCallbackHandler, @@ -51,8 +58,9 @@ def get_dataset_tools( invoke_from=invoke_from, hit_callback=hit_callback, ) - if retrieval_tools is None: + if retrieval_tools is None or len(retrieval_tools) == 0: return [] + # restore retrieve strategy retrieve_config.retrieve_strategy = original_retriever_mode @@ -61,20 +69,26 @@ def get_dataset_tools( for retrieval_tool in retrieval_tools: tool = DatasetRetrieverTool( retrieval_tool=retrieval_tool, - identity=ToolIdentity( - provider="", author="", name=retrieval_tool.name, label=I18nObject(en_US="", zh_Hans="") + entity=ToolEntity( + identity=ToolIdentity( + provider="", author="", name=retrieval_tool.name, label=I18nObject(en_US="", zh_Hans="") + ), + parameters=[], + description=ToolDescription(human=I18nObject(en_US="", zh_Hans=""), llm=retrieval_tool.description), ), - parameters=[], - is_team_authorization=True, - description=ToolDescription(human=I18nObject(en_US="", zh_Hans=""), llm=retrieval_tool.description), - runtime=DatasetRetrieverTool.Runtime(), + runtime=ToolRuntime(tenant_id=tenant_id), ) tools.append(tool) return tools - def get_runtime_parameters(self) -> list[ToolParameter]: + def get_runtime_parameters( + self, + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> list[ToolParameter]: return [ ToolParameter( name="query", @@ -92,18 +106,24 @@ def get_runtime_parameters(self) -> list[ToolParameter]: def tool_provider_type(self) -> ToolProviderType: return ToolProviderType.DATASET_RETRIEVAL - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ invoke dataset retriever tool """ query = tool_parameters.get("query") if not query: - return self.create_text_message(text="please input query") - - # invoke dataset retriever tool - result = self.retrieval_tool._run(query=query) - - return self.create_text_message(text=result) + yield self.create_text_message(text="please input query") + else: + # invoke dataset retriever tool + result = self.retrieval_tool._run(query=query) + yield self.create_text_message(text=result) def validate_credentials( self, credentials: dict[str, Any], parameters: dict[str, Any], format_only: bool = False diff --git a/api/core/tools/utils/feishu_api_utils.py b/api/core/tools/utils/feishu_api_utils.py deleted file mode 100644 index ecf60045aa8dc5..00000000000000 --- a/api/core/tools/utils/feishu_api_utils.py +++ /dev/null @@ -1,919 +0,0 @@ -import json -from typing import Any, Optional, cast - -import httpx - -from core.tools.errors import ToolProviderCredentialValidationError -from extensions.ext_redis import redis_client - - -def auth(credentials): - app_id = credentials.get("app_id") - app_secret = credentials.get("app_secret") - if not app_id or not app_secret: - raise ToolProviderCredentialValidationError("app_id and app_secret is required") - try: - assert FeishuRequest(app_id, app_secret).tenant_access_token is not None - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) - - -def convert_add_records(json_str): - try: - data = json.loads(json_str) - if not isinstance(data, list): - raise ValueError("Parsed data must be a list") - converted_data = [{"fields": json.dumps(item, ensure_ascii=False)} for item in data] - return converted_data - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - except Exception as e: - raise ValueError(f"An error occurred while processing the data: {e}") - - -def convert_update_records(json_str): - try: - data = json.loads(json_str) - if not isinstance(data, list): - raise ValueError("Parsed data must be a list") - - converted_data = [ - {"fields": json.dumps(record["fields"], ensure_ascii=False), "record_id": record["record_id"]} - for record in data - if "fields" in record and "record_id" in record - ] - - if len(converted_data) != len(data): - raise ValueError("Each record must contain 'fields' and 'record_id'") - - return converted_data - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - except Exception as e: - raise ValueError(f"An error occurred while processing the data: {e}") - - -class FeishuRequest: - API_BASE_URL = "https://lark-plugin-api.solutionsuite.cn/lark-plugin" - - def __init__(self, app_id: str, app_secret: str): - self.app_id = app_id - self.app_secret = app_secret - - @property - def tenant_access_token(self): - feishu_tenant_access_token = f"tools:{self.app_id}:feishu_tenant_access_token" - if redis_client.exists(feishu_tenant_access_token): - return redis_client.get(feishu_tenant_access_token).decode() - res = self.get_tenant_access_token(self.app_id, self.app_secret) - redis_client.setex(feishu_tenant_access_token, res.get("expire"), res.get("tenant_access_token")) - return res.get("tenant_access_token") - - def _send_request( - self, - url: str, - method: str = "post", - require_token: bool = True, - payload: Optional[dict] = None, - params: Optional[dict] = None, - ): - headers = { - "Content-Type": "application/json", - "user-agent": "Dify", - } - if require_token: - headers["tenant-access-token"] = f"{self.tenant_access_token}" - res = httpx.request(method=method, url=url, headers=headers, json=payload, params=params, timeout=30).json() - if res.get("code") != 0: - raise Exception(res) - return res - - def get_tenant_access_token(self, app_id: str, app_secret: str) -> dict: - """ - API url: https://open.feishu.cn/document/server-docs/authentication-management/access-token/tenant_access_token_internal - Example Response: - { - "code": 0, - "msg": "ok", - "tenant_access_token": "t-caecc734c2e3328a62489fe0648c4b98779515d3", - "expire": 7200 - } - """ - url = f"{self.API_BASE_URL}/access_token/get_tenant_access_token" - payload = {"app_id": app_id, "app_secret": app_secret} - res: dict = self._send_request(url, require_token=False, payload=payload) - return res - - def create_document(self, title: str, content: str, folder_token: str) -> dict: - """ - API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/create - Example Response: - { - "data": { - "title": "title", - "url": "https://svi136aogf123.feishu.cn/docx/VWbvd4fEdoW0WSxaY1McQTz8n7d", - "type": "docx", - "token": "VWbvd4fEdoW0WSxaY1McQTz8n7d" - }, - "log_id": "021721281231575fdbddc0200ff00060a9258ec0000103df61b5d", - "code": 0, - "msg": "创建飞书文档成功，请查看" - } - """ - url = f"{self.API_BASE_URL}/document/create_document" - payload = { - "title": title, - "content": content, - "folder_token": folder_token, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def write_document(self, document_id: str, content: str, position: str = "end") -> dict: - url = f"{self.API_BASE_URL}/document/write_document" - payload = {"document_id": document_id, "content": content, "position": position} - res: dict = self._send_request(url, payload=payload) - return res - - def get_document_content(self, document_id: str, mode: str = "markdown", lang: str = "0") -> str: - """ - API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/raw_content - Example Response: - { - "code": 0, - "msg": "success", - "data": { - "content": "云文档\n多人实时协同，插入一切元素。不仅是在线文档，更是强大的创作和互动工具\n云文档：专为协作而生\n" - } - } - """ # noqa: E501 - params = { - "document_id": document_id, - "mode": mode, - "lang": lang, - } - url = f"{self.API_BASE_URL}/document/get_document_content" - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - return cast(str, res.get("data", {}).get("content")) - return "" - - def list_document_blocks( - self, document_id: str, page_token: str, user_id_type: str = "open_id", page_size: int = 500 - ) -> dict: - """ - API url: https://open.larkoffice.com/document/server-docs/docs/docs/docx-v1/document/list - """ - params = { - "user_id_type": user_id_type, - "document_id": document_id, - "page_size": page_size, - "page_token": page_token, - } - url = f"{self.API_BASE_URL}/document/list_document_blocks" - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def send_bot_message(self, receive_id_type: str, receive_id: str, msg_type: str, content: str) -> dict: - """ - API url: https://open.larkoffice.com/document/server-docs/im-v1/message/create - """ - url = f"{self.API_BASE_URL}/message/send_bot_message" - params = { - "receive_id_type": receive_id_type, - } - payload = { - "receive_id": receive_id, - "msg_type": msg_type, - "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"), - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def send_webhook_message(self, webhook: str, msg_type: str, content: str) -> dict: - url = f"{self.API_BASE_URL}/message/send_webhook_message" - payload = { - "webhook": webhook, - "msg_type": msg_type, - "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"), - } - res: dict = self._send_request(url, require_token=False, payload=payload) - return res - - def get_chat_messages( - self, - container_id: str, - start_time: str, - end_time: str, - page_token: str, - sort_type: str = "ByCreateTimeAsc", - page_size: int = 20, - ) -> dict: - """ - API url: https://open.larkoffice.com/document/server-docs/im-v1/message/list - """ - url = f"{self.API_BASE_URL}/message/get_chat_messages" - params = { - "container_id": container_id, - "start_time": start_time, - "end_time": end_time, - "sort_type": sort_type, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_thread_messages( - self, container_id: str, page_token: str, sort_type: str = "ByCreateTimeAsc", page_size: int = 20 - ) -> dict: - """ - API url: https://open.larkoffice.com/document/server-docs/im-v1/message/list - """ - url = f"{self.API_BASE_URL}/message/get_thread_messages" - params = { - "container_id": container_id, - "sort_type": sort_type, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_task(self, summary: str, start_time: str, end_time: str, completed_time: str, description: str) -> dict: - # 创建任务 - url = f"{self.API_BASE_URL}/task/create_task" - payload = { - "summary": summary, - "start_time": start_time, - "end_time": end_time, - "completed_at": completed_time, - "description": description, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def update_task( - self, task_guid: str, summary: str, start_time: str, end_time: str, completed_time: str, description: str - ) -> dict: - # 更新任务 - url = f"{self.API_BASE_URL}/task/update_task" - payload = { - "task_guid": task_guid, - "summary": summary, - "start_time": start_time, - "end_time": end_time, - "completed_time": completed_time, - "description": description, - } - res: dict = self._send_request(url, method="PATCH", payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def delete_task(self, task_guid: str) -> dict: - # 删除任务 - url = f"{self.API_BASE_URL}/task/delete_task" - payload = { - "task_guid": task_guid, - } - res: dict = self._send_request(url, method="DELETE", payload=payload) - return res - - def add_members(self, task_guid: str, member_phone_or_email: str, member_role: str) -> dict: - # 删除任务 - url = f"{self.API_BASE_URL}/task/add_members" - payload = { - "task_guid": task_guid, - "member_phone_or_email": member_phone_or_email, - "member_role": member_role, - } - res: dict = self._send_request(url, payload=payload) - return res - - def get_wiki_nodes(self, space_id: str, parent_node_token: str, page_token: str, page_size: int = 20) -> dict: - # 获取知识库全部子节点列表 - url = f"{self.API_BASE_URL}/wiki/get_wiki_nodes" - payload = { - "space_id": space_id, - "parent_node_token": parent_node_token, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_primary_calendar(self, user_id_type: str = "open_id") -> dict: - url = f"{self.API_BASE_URL}/calendar/get_primary_calendar" - params = { - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_event( - self, - summary: str, - description: str, - start_time: str, - end_time: str, - attendee_ability: str, - need_notification: bool = True, - auto_record: bool = False, - ) -> dict: - url = f"{self.API_BASE_URL}/calendar/create_event" - payload = { - "summary": summary, - "description": description, - "need_notification": need_notification, - "start_time": start_time, - "end_time": end_time, - "auto_record": auto_record, - "attendee_ability": attendee_ability, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def update_event( - self, - event_id: str, - summary: str, - description: str, - need_notification: bool, - start_time: str, - end_time: str, - auto_record: bool, - ) -> dict: - url = f"{self.API_BASE_URL}/calendar/update_event/{event_id}" - payload: dict[str, Any] = {} - if summary: - payload["summary"] = summary - if description: - payload["description"] = description - if start_time: - payload["start_time"] = start_time - if end_time: - payload["end_time"] = end_time - if need_notification: - payload["need_notification"] = need_notification - if auto_record: - payload["auto_record"] = auto_record - res: dict = self._send_request(url, method="PATCH", payload=payload) - return res - - def delete_event(self, event_id: str, need_notification: bool = True) -> dict: - url = f"{self.API_BASE_URL}/calendar/delete_event/{event_id}" - params = { - "need_notification": need_notification, - } - res: dict = self._send_request(url, method="DELETE", params=params) - return res - - def list_events(self, start_time: str, end_time: str, page_token: str, page_size: int = 50) -> dict: - url = f"{self.API_BASE_URL}/calendar/list_events" - params = { - "start_time": start_time, - "end_time": end_time, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def search_events( - self, - query: str, - start_time: str, - end_time: str, - page_token: str, - user_id_type: str = "open_id", - page_size: int = 20, - ) -> dict: - url = f"{self.API_BASE_URL}/calendar/search_events" - payload = { - "query": query, - "start_time": start_time, - "end_time": end_time, - "page_token": page_token, - "user_id_type": user_id_type, - "page_size": page_size, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_event_attendees(self, event_id: str, attendee_phone_or_email: str, need_notification: bool = True) -> dict: - # 参加日程参会人 - url = f"{self.API_BASE_URL}/calendar/add_event_attendees" - payload = { - "event_id": event_id, - "attendee_phone_or_email": attendee_phone_or_email, - "need_notification": need_notification, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_spreadsheet( - self, - title: str, - folder_token: str, - ) -> dict: - # 创建电子表格 - url = f"{self.API_BASE_URL}/spreadsheet/create_spreadsheet" - payload = { - "title": title, - "folder_token": folder_token, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_spreadsheet( - self, - spreadsheet_token: str, - user_id_type: str = "open_id", - ) -> dict: - # 获取电子表格信息 - url = f"{self.API_BASE_URL}/spreadsheet/get_spreadsheet" - params = { - "spreadsheet_token": spreadsheet_token, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def list_spreadsheet_sheets( - self, - spreadsheet_token: str, - ) -> dict: - # 列出电子表格的所有工作表 - url = f"{self.API_BASE_URL}/spreadsheet/list_spreadsheet_sheets" - params = { - "spreadsheet_token": spreadsheet_token, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_rows( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - length: int, - values: str, - ) -> dict: - # 增加行,在工作表最后添加 - url = f"{self.API_BASE_URL}/spreadsheet/add_rows" - payload = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "length": length, - "values": values, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_cols( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - length: int, - values: str, - ) -> dict: - # 增加列,在工作表最后添加 - url = f"{self.API_BASE_URL}/spreadsheet/add_cols" - payload = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "length": length, - "values": values, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_rows( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - start_row: int, - num_rows: int, - user_id_type: str = "open_id", - ) -> dict: - # 读取工作表行数据 - url = f"{self.API_BASE_URL}/spreadsheet/read_rows" - params = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "start_row": start_row, - "num_rows": num_rows, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_cols( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - start_col: int, - num_cols: int, - user_id_type: str = "open_id", - ) -> dict: - # 读取工作表列数据 - url = f"{self.API_BASE_URL}/spreadsheet/read_cols" - params = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "start_col": start_col, - "num_cols": num_cols, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_table( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - num_range: str, - query: str, - user_id_type: str = "open_id", - ) -> dict: - # 自定义读取行列数据 - url = f"{self.API_BASE_URL}/spreadsheet/read_table" - params = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "range": num_range, - "query": query, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_base( - self, - name: str, - folder_token: str, - ) -> dict: - # 创建多维表格 - url = f"{self.API_BASE_URL}/base/create_base" - payload = { - "name": name, - "folder_token": folder_token, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_records( - self, - app_token: str, - table_id: str, - table_name: str, - records: str, - user_id_type: str = "open_id", - ) -> dict: - # 新增多条记录 - url = f"{self.API_BASE_URL}/base/add_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - "user_id_type": user_id_type, - } - payload = { - "records": convert_add_records(records), - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def update_records( - self, - app_token: str, - table_id: str, - table_name: str, - records: str, - user_id_type: str, - ) -> dict: - # 更新多条记录 - url = f"{self.API_BASE_URL}/base/update_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - "user_id_type": user_id_type, - } - payload = { - "records": convert_update_records(records), - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def delete_records( - self, - app_token: str, - table_id: str, - table_name: str, - record_ids: str, - ) -> dict: - # 删除多条记录 - url = f"{self.API_BASE_URL}/base/delete_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - } - if not record_ids: - record_id_list = [] - else: - try: - record_id_list = json.loads(record_ids) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - payload = { - "records": record_id_list, - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def search_record( - self, - app_token: str, - table_id: str, - table_name: str, - view_id: str, - field_names: str, - sort: str, - filters: str, - page_token: str, - automatic_fields: bool = False, - user_id_type: str = "open_id", - page_size: int = 20, - ) -> dict: - # 查询记录，单次最多查询 500 行记录。 - url = f"{self.API_BASE_URL}/base/search_record" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - "user_id_type": user_id_type, - "page_token": page_token, - "page_size": page_size, - } - - if not field_names: - field_name_list = [] - else: - try: - field_name_list = json.loads(field_names) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - if not sort: - sort_list = [] - else: - try: - sort_list = json.loads(sort) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - if not filters: - filter_dict = {} - else: - try: - filter_dict = json.loads(filters) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - payload: dict[str, Any] = {} - - if view_id: - payload["view_id"] = view_id - if field_names: - payload["field_names"] = field_name_list - if sort: - payload["sort"] = sort_list - if filters: - payload["filter"] = filter_dict - if automatic_fields: - payload["automatic_fields"] = automatic_fields - res: dict = self._send_request(url, params=params, payload=payload) - - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_base_info( - self, - app_token: str, - ) -> dict: - # 获取多维表格元数据 - url = f"{self.API_BASE_URL}/base/get_base_info" - params = { - "app_token": app_token, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_table( - self, - app_token: str, - table_name: str, - default_view_name: str, - fields: str, - ) -> dict: - # 新增一个数据表 - url = f"{self.API_BASE_URL}/base/create_table" - params = { - "app_token": app_token, - } - if not fields: - fields_list = [] - else: - try: - fields_list = json.loads(fields) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - payload = { - "name": table_name, - "fields": fields_list, - } - if default_view_name: - payload["default_view_name"] = default_view_name - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def delete_tables( - self, - app_token: str, - table_ids: str, - table_names: str, - ) -> dict: - # 删除多个数据表 - url = f"{self.API_BASE_URL}/base/delete_tables" - params = { - "app_token": app_token, - } - if not table_ids: - table_id_list = [] - else: - try: - table_id_list = json.loads(table_ids) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - if not table_names: - table_name_list = [] - else: - try: - table_name_list = json.loads(table_names) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - payload = { - "table_ids": table_id_list, - "table_names": table_name_list, - } - - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def list_tables( - self, - app_token: str, - page_token: str, - page_size: int = 20, - ) -> dict: - # 列出多维表格下的全部数据表 - url = f"{self.API_BASE_URL}/base/list_tables" - params = { - "app_token": app_token, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_records( - self, - app_token: str, - table_id: str, - table_name: str, - record_ids: str, - user_id_type: str = "open_id", - ) -> dict: - url = f"{self.API_BASE_URL}/base/read_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - } - if not record_ids: - record_id_list = [] - else: - try: - record_id_list = json.loads(record_ids) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - payload = { - "record_ids": record_id_list, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res diff --git a/api/core/tools/utils/lark_api_utils.py b/api/core/tools/utils/lark_api_utils.py deleted file mode 100644 index de394a39bf5a00..00000000000000 --- a/api/core/tools/utils/lark_api_utils.py +++ /dev/null @@ -1,851 +0,0 @@ -import json -from typing import Any, Optional, cast - -import httpx - -from core.tools.errors import ToolProviderCredentialValidationError -from extensions.ext_redis import redis_client - - -def lark_auth(credentials): - app_id = credentials.get("app_id") - app_secret = credentials.get("app_secret") - if not app_id or not app_secret: - raise ToolProviderCredentialValidationError("app_id and app_secret is required") - try: - assert LarkRequest(app_id, app_secret).tenant_access_token is not None - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) - - -class LarkRequest: - API_BASE_URL = "https://lark-plugin-api.solutionsuite.ai/lark-plugin" - - def __init__(self, app_id: str, app_secret: str): - self.app_id = app_id - self.app_secret = app_secret - - def convert_add_records(self, json_str): - try: - data = json.loads(json_str) - if not isinstance(data, list): - raise ValueError("Parsed data must be a list") - converted_data = [{"fields": json.dumps(item, ensure_ascii=False)} for item in data] - return converted_data - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - except Exception as e: - raise ValueError(f"An error occurred while processing the data: {e}") - - def convert_update_records(self, json_str): - try: - data = json.loads(json_str) - if not isinstance(data, list): - raise ValueError("Parsed data must be a list") - - converted_data = [ - {"fields": json.dumps(record["fields"], ensure_ascii=False), "record_id": record["record_id"]} - for record in data - if "fields" in record and "record_id" in record - ] - - if len(converted_data) != len(data): - raise ValueError("Each record must contain 'fields' and 'record_id'") - - return converted_data - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - except Exception as e: - raise ValueError(f"An error occurred while processing the data: {e}") - - @property - def tenant_access_token(self) -> str: - feishu_tenant_access_token = f"tools:{self.app_id}:feishu_tenant_access_token" - if redis_client.exists(feishu_tenant_access_token): - return str(redis_client.get(feishu_tenant_access_token).decode()) - res: dict[str, str] = self.get_tenant_access_token(self.app_id, self.app_secret) - redis_client.setex(feishu_tenant_access_token, res.get("expire"), res.get("tenant_access_token")) - return res.get("tenant_access_token", "") - - def _send_request( - self, - url: str, - method: str = "post", - require_token: bool = True, - payload: Optional[dict] = None, - params: Optional[dict] = None, - ): - headers = { - "Content-Type": "application/json", - "user-agent": "Dify", - } - if require_token: - headers["tenant-access-token"] = f"{self.tenant_access_token}" - res = httpx.request(method=method, url=url, headers=headers, json=payload, params=params, timeout=30).json() - if res.get("code") != 0: - raise Exception(res) - return res - - def get_tenant_access_token(self, app_id: str, app_secret: str) -> dict: - url = f"{self.API_BASE_URL}/access_token/get_tenant_access_token" - payload = {"app_id": app_id, "app_secret": app_secret} - res: dict = self._send_request(url, require_token=False, payload=payload) - return res - - def create_document(self, title: str, content: str, folder_token: str) -> dict: - url = f"{self.API_BASE_URL}/document/create_document" - payload = { - "title": title, - "content": content, - "folder_token": folder_token, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def write_document(self, document_id: str, content: str, position: str = "end") -> dict: - url = f"{self.API_BASE_URL}/document/write_document" - payload = {"document_id": document_id, "content": content, "position": position} - res: dict = self._send_request(url, payload=payload) - return res - - def get_document_content(self, document_id: str, mode: str = "markdown", lang: str = "0") -> str | dict: - params = { - "document_id": document_id, - "mode": mode, - "lang": lang, - } - url = f"{self.API_BASE_URL}/document/get_document_content" - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - return cast(dict, res.get("data", {}).get("content")) - return "" - - def list_document_blocks( - self, document_id: str, page_token: str, user_id_type: str = "open_id", page_size: int = 500 - ) -> dict: - params = { - "user_id_type": user_id_type, - "document_id": document_id, - "page_size": page_size, - "page_token": page_token, - } - url = f"{self.API_BASE_URL}/document/list_document_blocks" - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def send_bot_message(self, receive_id_type: str, receive_id: str, msg_type: str, content: str) -> dict: - url = f"{self.API_BASE_URL}/message/send_bot_message" - params = { - "receive_id_type": receive_id_type, - } - payload = { - "receive_id": receive_id, - "msg_type": msg_type, - "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"), - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def send_webhook_message(self, webhook: str, msg_type: str, content: str) -> dict: - url = f"{self.API_BASE_URL}/message/send_webhook_message" - payload = { - "webhook": webhook, - "msg_type": msg_type, - "content": content.strip('"').replace(r"\"", '"').replace(r"\\", "\\"), - } - res: dict = self._send_request(url, require_token=False, payload=payload) - return res - - def get_chat_messages( - self, - container_id: str, - start_time: str, - end_time: str, - page_token: str, - sort_type: str = "ByCreateTimeAsc", - page_size: int = 20, - ) -> dict: - url = f"{self.API_BASE_URL}/message/get_chat_messages" - params = { - "container_id": container_id, - "start_time": start_time, - "end_time": end_time, - "sort_type": sort_type, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_thread_messages( - self, container_id: str, page_token: str, sort_type: str = "ByCreateTimeAsc", page_size: int = 20 - ) -> dict: - url = f"{self.API_BASE_URL}/message/get_thread_messages" - params = { - "container_id": container_id, - "sort_type": sort_type, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_task(self, summary: str, start_time: str, end_time: str, completed_time: str, description: str) -> dict: - url = f"{self.API_BASE_URL}/task/create_task" - payload = { - "summary": summary, - "start_time": start_time, - "end_time": end_time, - "completed_at": completed_time, - "description": description, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def update_task( - self, task_guid: str, summary: str, start_time: str, end_time: str, completed_time: str, description: str - ) -> dict: - url = f"{self.API_BASE_URL}/task/update_task" - payload = { - "task_guid": task_guid, - "summary": summary, - "start_time": start_time, - "end_time": end_time, - "completed_time": completed_time, - "description": description, - } - res: dict = self._send_request(url, method="PATCH", payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def delete_task(self, task_guid: str) -> dict: - url = f"{self.API_BASE_URL}/task/delete_task" - payload = { - "task_guid": task_guid, - } - res: dict = self._send_request(url, method="DELETE", payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_members(self, task_guid: str, member_phone_or_email: str, member_role: str) -> dict: - url = f"{self.API_BASE_URL}/task/add_members" - payload = { - "task_guid": task_guid, - "member_phone_or_email": member_phone_or_email, - "member_role": member_role, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_wiki_nodes(self, space_id: str, parent_node_token: str, page_token: str, page_size: int = 20) -> dict: - url = f"{self.API_BASE_URL}/wiki/get_wiki_nodes" - payload = { - "space_id": space_id, - "parent_node_token": parent_node_token, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_primary_calendar(self, user_id_type: str = "open_id") -> dict: - url = f"{self.API_BASE_URL}/calendar/get_primary_calendar" - params = { - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_event( - self, - summary: str, - description: str, - start_time: str, - end_time: str, - attendee_ability: str, - need_notification: bool = True, - auto_record: bool = False, - ) -> dict: - url = f"{self.API_BASE_URL}/calendar/create_event" - payload = { - "summary": summary, - "description": description, - "need_notification": need_notification, - "start_time": start_time, - "end_time": end_time, - "auto_record": auto_record, - "attendee_ability": attendee_ability, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def update_event( - self, - event_id: str, - summary: str, - description: str, - need_notification: bool, - start_time: str, - end_time: str, - auto_record: bool, - ) -> dict: - url = f"{self.API_BASE_URL}/calendar/update_event/{event_id}" - payload: dict[str, Any] = {} - if summary: - payload["summary"] = summary - if description: - payload["description"] = description - if start_time: - payload["start_time"] = start_time - if end_time: - payload["end_time"] = end_time - if need_notification: - payload["need_notification"] = need_notification - if auto_record: - payload["auto_record"] = auto_record - res: dict = self._send_request(url, method="PATCH", payload=payload) - return res - - def delete_event(self, event_id: str, need_notification: bool = True) -> dict: - url = f"{self.API_BASE_URL}/calendar/delete_event/{event_id}" - params = { - "need_notification": need_notification, - } - res: dict = self._send_request(url, method="DELETE", params=params) - return res - - def list_events(self, start_time: str, end_time: str, page_token: str, page_size: int = 50) -> dict: - url = f"{self.API_BASE_URL}/calendar/list_events" - params = { - "start_time": start_time, - "end_time": end_time, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def search_events( - self, - query: str, - start_time: str, - end_time: str, - page_token: str, - user_id_type: str = "open_id", - page_size: int = 20, - ) -> dict: - url = f"{self.API_BASE_URL}/calendar/search_events" - payload = { - "query": query, - "start_time": start_time, - "end_time": end_time, - "page_token": page_token, - "user_id_type": user_id_type, - "page_size": page_size, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_event_attendees(self, event_id: str, attendee_phone_or_email: str, need_notification: bool = True) -> dict: - url = f"{self.API_BASE_URL}/calendar/add_event_attendees" - payload = { - "event_id": event_id, - "attendee_phone_or_email": attendee_phone_or_email, - "need_notification": need_notification, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_spreadsheet( - self, - title: str, - folder_token: str, - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/create_spreadsheet" - payload = { - "title": title, - "folder_token": folder_token, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_spreadsheet( - self, - spreadsheet_token: str, - user_id_type: str = "open_id", - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/get_spreadsheet" - params = { - "spreadsheet_token": spreadsheet_token, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def list_spreadsheet_sheets( - self, - spreadsheet_token: str, - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/list_spreadsheet_sheets" - params = { - "spreadsheet_token": spreadsheet_token, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_rows( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - length: int, - values: str, - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/add_rows" - payload = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "length": length, - "values": values, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_cols( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - length: int, - values: str, - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/add_cols" - payload = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "length": length, - "values": values, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_rows( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - start_row: int, - num_rows: int, - user_id_type: str = "open_id", - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/read_rows" - params = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "start_row": start_row, - "num_rows": num_rows, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_cols( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - start_col: int, - num_cols: int, - user_id_type: str = "open_id", - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/read_cols" - params = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "start_col": start_col, - "num_cols": num_cols, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_table( - self, - spreadsheet_token: str, - sheet_id: str, - sheet_name: str, - num_range: str, - query: str, - user_id_type: str = "open_id", - ) -> dict: - url = f"{self.API_BASE_URL}/spreadsheet/read_table" - params = { - "spreadsheet_token": spreadsheet_token, - "sheet_id": sheet_id, - "sheet_name": sheet_name, - "range": num_range, - "query": query, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_base( - self, - name: str, - folder_token: str, - ) -> dict: - url = f"{self.API_BASE_URL}/base/create_base" - payload = { - "name": name, - "folder_token": folder_token, - } - res: dict = self._send_request(url, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def add_records( - self, - app_token: str, - table_id: str, - table_name: str, - records: str, - user_id_type: str = "open_id", - ) -> dict: - url = f"{self.API_BASE_URL}/base/add_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - "user_id_type": user_id_type, - } - payload = { - "records": self.convert_add_records(records), - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def update_records( - self, - app_token: str, - table_id: str, - table_name: str, - records: str, - user_id_type: str, - ) -> dict: - url = f"{self.API_BASE_URL}/base/update_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - "user_id_type": user_id_type, - } - payload = { - "records": self.convert_update_records(records), - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def delete_records( - self, - app_token: str, - table_id: str, - table_name: str, - record_ids: str, - ) -> dict: - url = f"{self.API_BASE_URL}/base/delete_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - } - if not record_ids: - record_id_list = [] - else: - try: - record_id_list = json.loads(record_ids) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - payload = { - "records": record_id_list, - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def search_record( - self, - app_token: str, - table_id: str, - table_name: str, - view_id: str, - field_names: str, - sort: str, - filters: str, - page_token: str, - automatic_fields: bool = False, - user_id_type: str = "open_id", - page_size: int = 20, - ) -> dict: - url = f"{self.API_BASE_URL}/base/search_record" - - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - "user_id_type": user_id_type, - "page_token": page_token, - "page_size": page_size, - } - - if not field_names: - field_name_list = [] - else: - try: - field_name_list = json.loads(field_names) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - if not sort: - sort_list = [] - else: - try: - sort_list = json.loads(sort) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - if not filters: - filter_dict = {} - else: - try: - filter_dict = json.loads(filters) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - payload: dict[str, Any] = {} - - if view_id: - payload["view_id"] = view_id - if field_names: - payload["field_names"] = field_name_list - if sort: - payload["sort"] = sort_list - if filters: - payload["filter"] = filter_dict - if automatic_fields: - payload["automatic_fields"] = automatic_fields - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def get_base_info( - self, - app_token: str, - ) -> dict: - url = f"{self.API_BASE_URL}/base/get_base_info" - params = { - "app_token": app_token, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def create_table( - self, - app_token: str, - table_name: str, - default_view_name: str, - fields: str, - ) -> dict: - url = f"{self.API_BASE_URL}/base/create_table" - params = { - "app_token": app_token, - } - if not fields: - fields_list = [] - else: - try: - fields_list = json.loads(fields) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - payload = { - "name": table_name, - "fields": fields_list, - } - if default_view_name: - payload["default_view_name"] = default_view_name - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def delete_tables( - self, - app_token: str, - table_ids: str, - table_names: str, - ) -> dict: - url = f"{self.API_BASE_URL}/base/delete_tables" - params = { - "app_token": app_token, - } - if not table_ids: - table_id_list = [] - else: - try: - table_id_list = json.loads(table_ids) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - if not table_names: - table_name_list = [] - else: - try: - table_name_list = json.loads(table_names) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - - payload = { - "table_ids": table_id_list, - "table_names": table_name_list, - } - res: dict = self._send_request(url, params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def list_tables( - self, - app_token: str, - page_token: str, - page_size: int = 20, - ) -> dict: - url = f"{self.API_BASE_URL}/base/list_tables" - params = { - "app_token": app_token, - "page_token": page_token, - "page_size": page_size, - } - res: dict = self._send_request(url, method="GET", params=params) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res - - def read_records( - self, - app_token: str, - table_id: str, - table_name: str, - record_ids: str, - user_id_type: str = "open_id", - ) -> dict: - url = f"{self.API_BASE_URL}/base/read_records" - params = { - "app_token": app_token, - "table_id": table_id, - "table_name": table_name, - } - if not record_ids: - record_id_list = [] - else: - try: - record_id_list = json.loads(record_ids) - except json.JSONDecodeError: - raise ValueError("The input string is not valid JSON") - payload = { - "record_ids": record_id_list, - "user_id_type": user_id_type, - } - res: dict = self._send_request(url, method="POST", params=params, payload=payload) - if "data" in res: - data: dict = res.get("data", {}) - return data - return res diff --git a/api/core/tools/utils/message_transformer.py b/api/core/tools/utils/message_transformer.py index b28953264cfc79..d92aa5ee6000b8 100644 --- a/api/core/tools/utils/message_transformer.py +++ b/api/core/tools/utils/message_transformer.py @@ -1,4 +1,5 @@ import logging +from collections.abc import Generator from mimetypes import guess_extension from typing import Optional @@ -12,58 +13,64 @@ class ToolFileMessageTransformer: @classmethod def transform_tool_invoke_messages( - cls, messages: list[ToolInvokeMessage], user_id: str, tenant_id: str, conversation_id: str | None - ) -> list[ToolInvokeMessage]: + cls, + messages: Generator[ToolInvokeMessage, None, None], + user_id: str, + tenant_id: str, + conversation_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ Transform tool message and handle file download """ - result = [] - for message in messages: if message.type in {ToolInvokeMessage.MessageType.TEXT, ToolInvokeMessage.MessageType.LINK}: - result.append(message) - elif message.type == ToolInvokeMessage.MessageType.IMAGE and isinstance(message.message, str): + yield message + elif message.type == ToolInvokeMessage.MessageType.IMAGE and isinstance( + message.message, ToolInvokeMessage.TextMessage + ): # try to download image try: + assert isinstance(message.message, ToolInvokeMessage.TextMessage) + file = ToolFileManager.create_file_by_url( - user_id=user_id, tenant_id=tenant_id, conversation_id=conversation_id, file_url=message.message + user_id=user_id, + tenant_id=tenant_id, + file_url=message.message.text, + conversation_id=conversation_id, ) url = f"/files/tools/{file.id}{guess_extension(file.mimetype) or '.png'}" - result.append( - ToolInvokeMessage( - type=ToolInvokeMessage.MessageType.IMAGE_LINK, - message=url, - save_as=message.save_as, - meta=message.meta.copy() if message.meta is not None else {}, - ) + yield ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.IMAGE_LINK, + message=ToolInvokeMessage.TextMessage(text=url), + meta=message.meta.copy() if message.meta is not None else {}, ) except Exception as e: - logger.exception(f"Failed to download image from {url}") - result.append( - ToolInvokeMessage( - type=ToolInvokeMessage.MessageType.TEXT, - message=f"Failed to download image: {message.message}, please try to download it manually.", - meta=message.meta.copy() if message.meta is not None else {}, - save_as=message.save_as, - ) + yield ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.TEXT, + message=ToolInvokeMessage.TextMessage( + text=f"Failed to download image: {message.message.text}: {e}" + ), + meta=message.meta.copy() if message.meta is not None else {}, ) elif message.type == ToolInvokeMessage.MessageType.BLOB: # get mime type and save blob to storage - assert message.meta is not None - mimetype = message.meta.get("mime_type", "octet/stream") + meta = message.meta or {} + + mimetype = meta.get("mime_type", "octet/stream") # if message is str, encode it to bytes - if isinstance(message.message, str): - message.message = message.message.encode("utf-8") + + if not isinstance(message.message, ToolInvokeMessage.BlobMessage): + raise ValueError("unexpected message type") # FIXME: should do a type check here. - assert isinstance(message.message, bytes) + assert isinstance(message.message.blob, bytes) file = ToolFileManager.create_file_by_raw( user_id=user_id, tenant_id=tenant_id, conversation_id=conversation_id, - file_binary=message.message, + file_binary=message.message.blob, mimetype=mimetype, ) @@ -71,54 +78,40 @@ def transform_tool_invoke_messages( # check if file is image if "image" in mimetype: - result.append( - ToolInvokeMessage( - type=ToolInvokeMessage.MessageType.IMAGE_LINK, - message=url, - save_as=message.save_as, - meta=message.meta.copy() if message.meta is not None else {}, - ) + yield ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.IMAGE_LINK, + message=ToolInvokeMessage.TextMessage(text=url), + meta=meta.copy() if meta is not None else {}, ) else: - result.append( - ToolInvokeMessage( - type=ToolInvokeMessage.MessageType.LINK, - message=url, - save_as=message.save_as, - meta=message.meta.copy() if message.meta is not None else {}, - ) + yield ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.BINARY_LINK, + message=ToolInvokeMessage.TextMessage(text=url), + meta=meta.copy() if meta is not None else {}, ) elif message.type == ToolInvokeMessage.MessageType.FILE: - assert message.meta is not None - file_mata = message.meta.get("file") - if isinstance(file_mata, File): - if file_mata.transfer_method == FileTransferMethod.TOOL_FILE: - assert file_mata.related_id is not None - url = cls.get_tool_file_url(tool_file_id=file_mata.related_id, extension=file_mata.extension) - if file_mata.type == FileType.IMAGE: - result.append( - ToolInvokeMessage( - type=ToolInvokeMessage.MessageType.IMAGE_LINK, - message=url, - save_as=message.save_as, - meta=message.meta.copy() if message.meta is not None else {}, - ) + meta = message.meta or {} + file = meta.get("file", None) + if isinstance(file, File): + if file.transfer_method == FileTransferMethod.TOOL_FILE: + assert file.related_id is not None + url = cls.get_tool_file_url(tool_file_id=file.related_id, extension=file.extension) + if file.type == FileType.IMAGE: + yield ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.IMAGE_LINK, + message=ToolInvokeMessage.TextMessage(text=url), + meta=meta.copy() if meta is not None else {}, ) else: - result.append( - ToolInvokeMessage( - type=ToolInvokeMessage.MessageType.LINK, - message=url, - save_as=message.save_as, - meta=message.meta.copy() if message.meta is not None else {}, - ) + yield ToolInvokeMessage( + type=ToolInvokeMessage.MessageType.LINK, + message=ToolInvokeMessage.TextMessage(text=url), + meta=meta.copy() if meta is not None else {}, ) else: - result.append(message) + yield message else: - result.append(message) - - return result + yield message @classmethod def get_tool_file_url(cls, tool_file_id: str, extension: Optional[str]) -> str: diff --git a/api/core/tools/utils/model_invocation_utils.py b/api/core/tools/utils/model_invocation_utils.py index 3689dcc9e5ebfd..245470ea491dc4 100644 --- a/api/core/tools/utils/model_invocation_utils.py +++ b/api/core/tools/utils/model_invocation_utils.py @@ -10,7 +10,7 @@ from core.model_manager import ModelManager from core.model_runtime.entities.llm_entities import LLMResult from core.model_runtime.entities.message_entities import PromptMessage -from core.model_runtime.entities.model_entities import ModelType +from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType from core.model_runtime.errors.invoke import ( InvokeAuthorizationError, InvokeBadRequestError, @@ -18,7 +18,7 @@ InvokeRateLimitError, InvokeServerUnavailableError, ) -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel, ModelPropertyKey +from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.model_runtime.utils.encoders import jsonable_encoder from extensions.ext_database import db from models.tools import ToolModelInvoke diff --git a/api/core/tools/utils/parser.py b/api/core/tools/utils/parser.py index b15a86b5c0a5cf..c69fc1f825325a 100644 --- a/api/core/tools/utils/parser.py +++ b/api/core/tools/utils/parser.py @@ -18,7 +18,7 @@ class ApiBasedToolSchemaParser: @staticmethod def parse_openapi_to_tool_bundle( - openapi: dict, extra_info: Optional[dict], warning: Optional[dict] + openapi: dict, extra_info: dict | None = None, warning: dict | None = None ) -> list[ApiToolBundle]: warning = warning if warning is not None else {} extra_info = extra_info if extra_info is not None else {} @@ -191,7 +191,7 @@ def _get_tool_parameter_type(parameter: dict) -> Optional[ToolParameter.ToolPara @staticmethod def parse_openapi_yaml_to_tool_bundle( - yaml: str, extra_info: Optional[dict], warning: Optional[dict] + yaml: str, extra_info: dict | None = None, warning: dict | None = None ) -> list[ApiToolBundle]: """ parse openapi yaml to tool bundle @@ -208,7 +208,8 @@ def parse_openapi_yaml_to_tool_bundle( return ApiBasedToolSchemaParser.parse_openapi_to_tool_bundle(openapi, extra_info=extra_info, warning=warning) @staticmethod - def parse_swagger_to_openapi(swagger: dict, extra_info: Optional[dict], warning: Optional[dict]) -> dict: + def parse_swagger_to_openapi(swagger: dict, extra_info: dict | None = None, warning: dict | None = None) -> dict: + warning = warning or {} """ parse swagger to openapi @@ -271,7 +272,7 @@ def parse_swagger_to_openapi(swagger: dict, extra_info: Optional[dict], warning: @staticmethod def parse_openai_plugin_json_to_tool_bundle( - json: str, extra_info: Optional[dict], warning: Optional[dict] + json: str, extra_info: dict | None = None, warning: dict | None = None ) -> list[ApiToolBundle]: """ parse openapi plugin yaml to tool bundle @@ -287,7 +288,7 @@ def parse_openai_plugin_json_to_tool_bundle( api = openai_plugin["api"] api_url = api["url"] api_type = api["type"] - except: + except JSONDecodeError: raise ToolProviderNotFoundError("Invalid openai plugin json.") if api_type != "openapi": @@ -305,7 +306,7 @@ def parse_openai_plugin_json_to_tool_bundle( @staticmethod def auto_parse_to_tool_bundle( - content: str, extra_info: Optional[dict] = None, warning: Optional[dict] = None + content: str, extra_info: dict | None = None, warning: dict | None = None ) -> tuple[list[ApiToolBundle], str]: """ auto parse to tool bundle diff --git a/api/core/tools/utils/rag_web_reader.py b/api/core/tools/utils/rag_web_reader.py new file mode 100644 index 00000000000000..22c47fa814f5a8 --- /dev/null +++ b/api/core/tools/utils/rag_web_reader.py @@ -0,0 +1,17 @@ +import re + + +def get_image_upload_file_ids(content): + pattern = r"!\[image\]\((http?://.*?(file-preview|image-preview))\)" + matches = re.findall(pattern, content) + image_upload_file_ids = [] + for match in matches: + if match[1] == "file-preview": + content_pattern = r"files/([^/]+)/file-preview" + else: + content_pattern = r"files/([^/]+)/image-preview" + content_match = re.search(content_pattern, match[0]) + if content_match: + image_upload_file_id = content_match.group(1) + image_upload_file_ids.append(image_upload_file_id) + return image_upload_file_ids diff --git a/api/core/tools/utils/workflow_configuration_sync.py b/api/core/tools/utils/workflow_configuration_sync.py index 08a112cfdb2b91..d16d6fc576fa61 100644 --- a/api/core/tools/utils/workflow_configuration_sync.py +++ b/api/core/tools/utils/workflow_configuration_sync.py @@ -27,7 +27,7 @@ def get_workflow_graph_variables(cls, graph: Mapping[str, Any]) -> Sequence[Vari @classmethod def check_is_synced( cls, variables: list[VariableEntity], tool_configurations: list[WorkflowToolParameterConfiguration] - ) -> bool: + ): """ check is synced @@ -41,5 +41,3 @@ def check_is_synced( for parameter in tool_configurations: if parameter.name not in variable_names: raise ValueError("parameter configuration mismatch, please republish the tool to update") - - return True diff --git a/api/core/tools/provider/workflow_tool_provider.py b/api/core/tools/workflow_as_tool/provider.py similarity index 66% rename from api/core/tools/provider/workflow_tool_provider.py rename to api/core/tools/workflow_as_tool/provider.py index 17fe2e20cf282e..4777a019e41113 100644 --- a/api/core/tools/provider/workflow_tool_provider.py +++ b/api/core/tools/workflow_as_tool/provider.py @@ -1,19 +1,25 @@ +from collections.abc import Mapping from typing import Optional -from core.app.app_config.entities import VariableEntityType +from pydantic import Field + +from core.app.app_config.entities import VariableEntity, VariableEntityType from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager +from core.plugin.entities.parameters import PluginParameterOption +from core.tools.__base.tool_provider import ToolProviderController +from core.tools.__base.tool_runtime import ToolRuntime from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ( ToolDescription, + ToolEntity, ToolIdentity, ToolParameter, - ToolParameterOption, + ToolProviderEntity, + ToolProviderIdentity, ToolProviderType, ) -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.tool.tool import Tool -from core.tools.tool.workflow_tool import WorkflowTool from core.tools.utils.workflow_configuration_sync import WorkflowToolConfigurationUtils +from core.tools.workflow_as_tool.tool import WorkflowTool from extensions.ext_database import db from models.model import App, AppMode from models.tools import WorkflowToolProvider @@ -31,6 +37,11 @@ class WorkflowToolProviderController(ToolProviderController): provider_id: str + tools: list[WorkflowTool] = Field(default_factory=list) + + def __init__(self, entity: ToolProviderEntity, provider_id: str): + super().__init__(entity=entity) + self.provider_id = provider_id @classmethod def from_db(cls, db_provider: WorkflowToolProvider) -> "WorkflowToolProviderController": @@ -39,18 +50,19 @@ def from_db(cls, db_provider: WorkflowToolProvider) -> "WorkflowToolProviderCont if not app: raise ValueError("app not found") - controller = WorkflowToolProviderController.model_validate( - { - "identity": { - "author": db_provider.user.name if db_provider.user_id and db_provider.user else "", - "name": db_provider.label, - "label": {"en_US": db_provider.label, "zh_Hans": db_provider.label}, - "description": {"en_US": db_provider.description, "zh_Hans": db_provider.description}, - "icon": db_provider.icon, - }, - "credentials_schema": {}, - "provider_id": db_provider.id or "", - } + controller = WorkflowToolProviderController( + entity=ToolProviderEntity( + identity=ToolProviderIdentity( + author=db_provider.user.name if db_provider.user_id and db_provider.user else "", + name=db_provider.label, + label=I18nObject(en_US=db_provider.label, zh_Hans=db_provider.label), + description=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description), + icon=db_provider.icon, + ), + credentials_schema=[], + plugin_id=None, + ), + provider_id=db_provider.id or "", ) # init tools @@ -70,24 +82,25 @@ def _get_db_provider_tool(self, db_provider: WorkflowToolProvider, app: App) -> :param app: the app :return: the tool """ - workflow = ( + workflow: Workflow | None = ( db.session.query(Workflow) .filter(Workflow.app_id == db_provider.app_id, Workflow.version == db_provider.version) .first() ) + if not workflow: raise ValueError("workflow not found") # fetch start node - graph = workflow.graph_dict - features_dict = workflow.features_dict + graph: Mapping = workflow.graph_dict + features_dict: Mapping = workflow.features_dict features = WorkflowAppConfigManager.convert_features(config_dict=features_dict, app_mode=AppMode.WORKFLOW) parameters = db_provider.parameter_configurations variables = WorkflowToolConfigurationUtils.get_workflow_graph_variables(graph) - def fetch_workflow_variable(variable_name: str): - return next(filter(lambda x: x.variable == variable_name, variables), None) + def fetch_workflow_variable(variable_name: str) -> VariableEntity | None: + return next(filter(lambda x: x.variable == variable_name, variables), None) # type: ignore user = db_provider.user @@ -96,14 +109,14 @@ def fetch_workflow_variable(variable_name: str): variable = fetch_workflow_variable(parameter.name) if variable: parameter_type = None - options = None + options = [] if variable.type not in VARIABLE_TO_PARAMETER_TYPE_MAPPING: raise ValueError(f"unsupported variable type {variable.type}") parameter_type = VARIABLE_TO_PARAMETER_TYPE_MAPPING[variable.type] if variable.type == VariableEntityType.SELECT and variable.options: options = [ - ToolParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) + PluginParameterOption(value=option, label=I18nObject(en_US=option, zh_Hans=option)) for option in variable.options ] @@ -137,19 +150,24 @@ def fetch_workflow_variable(variable_name: str): raise ValueError("variable not found") return WorkflowTool( - identity=ToolIdentity( - author=user.name if user else "", - name=db_provider.name, - label=I18nObject(en_US=db_provider.label, zh_Hans=db_provider.label), - provider=self.provider_id, - icon=db_provider.icon, + workflow_as_tool_id=db_provider.id, + entity=ToolEntity( + identity=ToolIdentity( + author=user.name if user else "", + name=db_provider.name, + label=I18nObject(en_US=db_provider.label, zh_Hans=db_provider.label), + provider=self.provider_id, + icon=db_provider.icon, + ), + description=ToolDescription( + human=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description), + llm=db_provider.description, + ), + parameters=workflow_tool_parameters, ), - description=ToolDescription( - human=I18nObject(en_US=db_provider.description, zh_Hans=db_provider.description), - llm=db_provider.description, + runtime=ToolRuntime( + tenant_id=db_provider.tenant_id, ), - parameters=workflow_tool_parameters, - is_team_authorization=True, workflow_app_id=app.id, workflow_entities={ "app": app, @@ -160,7 +178,7 @@ def fetch_workflow_variable(variable_name: str): label=db_provider.label, ) - def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Tool]]: + def get_tools(self, tenant_id: str) -> list[WorkflowTool]: """ fetch tools from database @@ -171,7 +189,7 @@ def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Too if self.tools is not None: return self.tools - db_providers: Optional[WorkflowToolProvider] = ( + db_providers: WorkflowToolProvider | None = ( db.session.query(WorkflowToolProvider) .filter( WorkflowToolProvider.tenant_id == tenant_id, @@ -185,11 +203,15 @@ def get_tools(self, user_id: str = "", tenant_id: str = "") -> Optional[list[Too if not db_providers.app: raise ValueError("app not found") - self.tools = [self._get_db_provider_tool(db_providers, db_providers.app)] + app = db_providers.app + if not app: + raise ValueError("can not read app of workflow") + + self.tools = [self._get_db_provider_tool(db_providers, app)] return self.tools - def get_tool(self, tool_name: str) -> Optional[Tool]: + def get_tool(self, tool_name: str) -> Optional[WorkflowTool]: # type: ignore """ get tool by name @@ -200,9 +222,7 @@ def get_tool(self, tool_name: str) -> Optional[Tool]: return None for tool in self.tools: - if tool.identity is None: - continue - if tool.identity.name == tool_name: + if tool.entity.identity.name == tool_name: return tool return None diff --git a/api/core/tools/tool/workflow_tool.py b/api/core/tools/workflow_as_tool/tool.py similarity index 76% rename from api/core/tools/tool/workflow_tool.py rename to api/core/tools/workflow_as_tool/tool.py index 9d13e2c49a55e3..cb9b804c77b81d 100644 --- a/api/core/tools/tool/workflow_tool.py +++ b/api/core/tools/workflow_as_tool/tool.py @@ -1,11 +1,12 @@ import json import logging -from copy import deepcopy +from collections.abc import Generator from typing import Any, Optional, Union, cast from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod -from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter, ToolProviderType -from core.tools.tool.tool import Tool +from core.tools.__base.tool import Tool +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.entities.tool_entities import ToolEntity, ToolInvokeMessage, ToolParameter, ToolProviderType from extensions.ext_database import db from factories.file_factory import build_from_mapping from models.account import Account @@ -21,6 +22,7 @@ class WorkflowTool(Tool): workflow_entities: dict[str, Any] workflow_call_depth: int thread_pool_id: Optional[str] = None + workflow_as_tool_id: str label: str @@ -28,6 +30,28 @@ class WorkflowTool(Tool): Workflow tool. """ + def __init__( + self, + workflow_app_id: str, + workflow_as_tool_id: str, + version: str, + workflow_entities: dict[str, Any], + workflow_call_depth: int, + entity: ToolEntity, + runtime: ToolRuntime, + label: str = "Workflow", + thread_pool_id: Optional[str] = None, + ): + self.workflow_app_id = workflow_app_id + self.workflow_as_tool_id = workflow_as_tool_id + self.version = version + self.workflow_entities = workflow_entities + self.workflow_call_depth = workflow_call_depth + self.thread_pool_id = thread_pool_id + self.label = label + + super().__init__(entity=entity, runtime=runtime) + def tool_provider_type(self) -> ToolProviderType: """ get the tool provider type @@ -37,8 +61,13 @@ def tool_provider_type(self) -> ToolProviderType: return ToolProviderType.WORKFLOW def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + self, + user_id: str, + tool_parameters: dict[str, Any], + conversation_id: Optional[str] = None, + app_id: Optional[str] = None, + message_id: Optional[str] = None, + ) -> Generator[ToolInvokeMessage, None, None]: """ invoke the tool """ @@ -53,6 +82,7 @@ def _invoke( generator = WorkflowAppGenerator() assert self.runtime is not None assert self.runtime.invoke_from is not None + result = generator.generate( app_model=app, workflow=workflow, @@ -69,20 +99,19 @@ def _invoke( if data.get("error"): raise Exception(data.get("error")) - r = [] + if data.get("error"): + raise Exception(data.get("error")) outputs = data.get("outputs") - if outputs == None: + if outputs is None: outputs = {} else: - outputs, extracted_files = self._extract_files(outputs) - for f in extracted_files: - r.append(self.create_file_message(f)) + outputs, files = self._extract_files(outputs) # type: ignore + for file in files: + yield self.create_file_message(file) # type: ignore - r.append(self.create_text_message(json.dumps(outputs, ensure_ascii=False))) - r.append(self.create_json_message(outputs)) - - return r + yield self.create_text_message(json.dumps(outputs, ensure_ascii=False)) + yield self.create_json_message(outputs) def _get_user(self, user_id: str) -> Union[EndUser, Account]: """ @@ -98,7 +127,7 @@ def _get_user(self, user_id: str) -> Union[EndUser, Account]: return user - def fork_tool_runtime(self, runtime: dict[str, Any]) -> "WorkflowTool": + def fork_tool_runtime(self, runtime: ToolRuntime) -> "WorkflowTool": """ fork a new tool with meta data @@ -106,11 +135,10 @@ def fork_tool_runtime(self, runtime: dict[str, Any]) -> "WorkflowTool": :return: the new tool """ return self.__class__( - identity=deepcopy(self.identity), - parameters=deepcopy(self.parameters), - description=deepcopy(self.description), - runtime=Tool.Runtime(**runtime), + entity=self.entity.model_copy(), + runtime=runtime, workflow_app_id=self.workflow_app_id, + workflow_as_tool_id=self.workflow_as_tool_id, workflow_entities=self.workflow_entities, workflow_call_depth=self.workflow_call_depth, version=self.version, @@ -153,7 +181,7 @@ def _transform_args(self, tool_parameters: dict) -> tuple[dict, list[dict]]: :param tool_parameters: the tool parameters :return: tool_parameters, files """ - parameter_rules = self.get_all_runtime_parameters() + parameter_rules = self.get_merged_runtime_parameters() parameters_result = {} files = [] for parameter in parameter_rules: @@ -175,7 +203,7 @@ def _transform_args(self, tool_parameters: dict) -> tuple[dict, list[dict]]: file_dict["url"] = file.generate_url() files.append(file_dict) - except Exception as e: + except Exception: logger.exception(f"Failed to transform file {file}") else: parameters_result[parameter.name] = tool_parameters.get(parameter.name) @@ -189,7 +217,7 @@ def _extract_files(self, outputs: dict) -> tuple[dict, list[File]]: :param result: the result :return: the result, files """ - files = [] + files: list[File] = [] result = {} for key, value in outputs.items(): if isinstance(value, list): @@ -198,18 +226,19 @@ def _extract_files(self, outputs: dict) -> tuple[dict, list[File]]: item = self._update_file_mapping(item) file = build_from_mapping( mapping=item, - tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id), + tenant_id=str(cast(ToolRuntime, self.runtime).tenant_id), ) files.append(file) elif isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY: value = self._update_file_mapping(value) file = build_from_mapping( mapping=value, - tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id), + tenant_id=str(cast(ToolRuntime, self.runtime).tenant_id), ) files.append(file) result[key] = value + return result, files def _update_file_mapping(self, file_dict: dict) -> dict: diff --git a/api/core/workflow/entities/node_entities.py b/api/core/workflow/entities/node_entities.py index ae5f117bf9b121..27c0e6702a5107 100644 --- a/api/core/workflow/entities/node_entities.py +++ b/api/core/workflow/entities/node_entities.py @@ -17,6 +17,7 @@ class NodeRunMetadataKey(StrEnum): TOTAL_PRICE = "total_price" CURRENCY = "currency" TOOL_INFO = "tool_info" + AGENT_LOG = "agent_log" ITERATION_ID = "iteration_id" ITERATION_INDEX = "iteration_index" PARALLEL_ID = "parallel_id" @@ -48,3 +49,8 @@ class NodeRunResult(BaseModel): # single step node run retry retry_index: int = 0 + + +class AgentNodeStrategyInit(BaseModel): + name: str + icon: str | None = None diff --git a/api/core/workflow/graph_engine/entities/event.py b/api/core/workflow/graph_engine/entities/event.py index d591b68e7e72be..3130bb25da75e7 100644 --- a/api/core/workflow/graph_engine/entities/event.py +++ b/api/core/workflow/graph_engine/entities/event.py @@ -4,6 +4,7 @@ from pydantic import BaseModel, Field +from core.workflow.entities.node_entities import AgentNodeStrategyInit from core.workflow.graph_engine.entities.runtime_route_state import RouteNodeState from core.workflow.nodes import NodeType from core.workflow.nodes.base import BaseNodeData @@ -66,8 +67,10 @@ class BaseNodeEvent(GraphEngineEvent): class NodeRunStartedEvent(BaseNodeEvent): predecessor_node_id: Optional[str] = None - parallel_mode_run_id: Optional[str] = None """predecessor node id""" + parallel_mode_run_id: Optional[str] = None + """iteration node parallel mode run id""" + agent_strategy: Optional[AgentNodeStrategyInit] = None class NodeRunStreamChunkEvent(BaseNodeEvent): @@ -164,8 +167,8 @@ class IterationRunStartedEvent(BaseIterationEvent): class IterationRunNextEvent(BaseIterationEvent): index: int = Field(..., description="index") - pre_iteration_output: Optional[Any] = Field(None, description="pre iteration output") - duration: Optional[float] = Field(None, description="duration") + pre_iteration_output: Optional[Any] = None + duration: Optional[float] = None class IterationRunSucceededEvent(BaseIterationEvent): @@ -186,4 +189,24 @@ class IterationRunFailedEvent(BaseIterationEvent): error: str = Field(..., description="failed reason") -InNodeEvent = BaseNodeEvent | BaseParallelBranchEvent | BaseIterationEvent +########################################### +# Agent Events +########################################### + + +class BaseAgentEvent(GraphEngineEvent): + pass + + +class AgentLogEvent(BaseAgentEvent): + id: str = Field(..., description="id") + label: str = Field(..., description="label") + node_execution_id: str = Field(..., description="node execution id") + parent_id: str | None = Field(..., description="parent id") + error: str | None = Field(..., description="error") + status: str = Field(..., description="status") + data: Mapping[str, Any] = Field(..., description="data") + metadata: Optional[Mapping[str, Any]] = Field(default=None, description="metadata") + + +InNodeEvent = BaseNodeEvent | BaseParallelBranchEvent | BaseIterationEvent | BaseAgentEvent diff --git a/api/core/workflow/graph_engine/entities/graph.py b/api/core/workflow/graph_engine/entities/graph.py index 5c672c985b6a1f..1c6b4b6618448f 100644 --- a/api/core/workflow/graph_engine/entities/graph.py +++ b/api/core/workflow/graph_engine/entities/graph.py @@ -590,6 +590,8 @@ def _fetch_all_node_ids_in_parallels( start_node_id=node_id, routes_node_ids=routes_node_ids, ) + # Exclude conditional branch nodes + and all(edge.run_condition is None for edge in reverse_edge_mapping.get(node_id, [])) ): if node_id not in merge_branch_node_ids: merge_branch_node_ids[node_id] = [] diff --git a/api/core/workflow/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py index be7ccad4eb332d..937f4a2a597611 100644 --- a/api/core/workflow/graph_engine/graph_engine.py +++ b/api/core/workflow/graph_engine/graph_engine.py @@ -1,3 +1,4 @@ +import contextvars import logging import queue import time @@ -13,7 +14,7 @@ from configs import dify_config from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError from core.app.entities.app_invoke_entities import InvokeFrom -from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult +from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunMetadataKey, NodeRunResult from core.workflow.entities.variable_pool import VariablePool, VariableValue from core.workflow.graph_engine.condition_handlers.condition_manager import ConditionManager from core.workflow.graph_engine.entities.event import ( @@ -39,6 +40,8 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState from core.workflow.graph_engine.entities.runtime_route_state import RouteNodeState from core.workflow.nodes import NodeType +from core.workflow.nodes.agent.agent_node import AgentNode +from core.workflow.nodes.agent.entities import AgentNodeData from core.workflow.nodes.answer.answer_stream_processor import AnswerStreamProcessor from core.workflow.nodes.answer.base_stream_processor import StreamProcessor from core.workflow.nodes.base import BaseNode @@ -477,6 +480,7 @@ def _run_parallel_branches( **{ "flask_app": current_app._get_current_object(), # type: ignore[attr-defined] "q": q, + "context": contextvars.copy_context(), "parallel_id": parallel_id, "parallel_start_node_id": edge.target_node_id, "parent_parallel_id": in_parallel_id, @@ -520,6 +524,7 @@ def _run_parallel_branches( def _run_parallel_node( self, flask_app: Flask, + context: contextvars.Context, q: queue.Queue, parallel_id: str, parallel_start_node_id: str, @@ -530,6 +535,9 @@ def _run_parallel_node( """ Run parallel nodes """ + for var, val in context.items(): + var.set(val) + with flask_app.app_context(): try: q.put( @@ -600,6 +608,14 @@ def _run_node( Run node """ # trigger node run start event + agent_strategy = ( + AgentNodeStrategyInit( + name=cast(AgentNodeData, node_instance.node_data).agent_strategy_name, + icon=cast(AgentNode, node_instance).agent_strategy_icon, + ) + if node_instance.node_type == NodeType.AGENT + else None + ) yield NodeRunStartedEvent( id=node_instance.id, node_id=node_instance.node_id, @@ -611,6 +627,7 @@ def _run_node( parallel_start_node_id=parallel_start_node_id, parent_parallel_id=parent_parallel_id, parent_parallel_start_node_id=parent_parallel_start_node_id, + agent_strategy=agent_strategy, ) db.session.close() diff --git a/api/core/workflow/nodes/agent/__init__.py b/api/core/workflow/nodes/agent/__init__.py new file mode 100644 index 00000000000000..95e7cf895be959 --- /dev/null +++ b/api/core/workflow/nodes/agent/__init__.py @@ -0,0 +1,3 @@ +from .agent_node import AgentNode + +__all__ = ["AgentNode"] diff --git a/api/core/workflow/nodes/agent/agent_node.py b/api/core/workflow/nodes/agent/agent_node.py new file mode 100644 index 00000000000000..db846249612b56 --- /dev/null +++ b/api/core/workflow/nodes/agent/agent_node.py @@ -0,0 +1,254 @@ +from ast import literal_eval +from collections.abc import Generator, Mapping, Sequence +from typing import Any, cast + +from core.agent.entities import AgentToolEntity +from core.agent.plugin_entities import AgentStrategyParameter +from core.model_manager import ModelManager +from core.model_runtime.entities.model_entities import ModelType +from core.plugin.manager.exc import PluginDaemonClientSideError +from core.plugin.manager.plugin import PluginInstallationManager +from core.tools.entities.tool_entities import ToolProviderType +from core.tools.tool_manager import ToolManager +from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.entities.variable_pool import VariablePool +from core.workflow.enums import SystemVariableKey +from core.workflow.nodes.agent.entities import AgentNodeData +from core.workflow.nodes.base.entities import BaseNodeData +from core.workflow.nodes.enums import NodeType +from core.workflow.nodes.event.event import RunCompletedEvent +from core.workflow.nodes.tool.tool_node import ToolNode +from core.workflow.utils.variable_template_parser import VariableTemplateParser +from factories.agent_factory import get_plugin_agent_strategy +from models.workflow import WorkflowNodeExecutionStatus + + +class AgentNode(ToolNode): + """ + Agent Node + """ + + _node_data_cls = AgentNodeData # type: ignore + _node_type = NodeType.AGENT + + def _run(self) -> Generator: + """ + Run the agent node + """ + node_data = cast(AgentNodeData, self.node_data) + + try: + strategy = get_plugin_agent_strategy( + tenant_id=self.tenant_id, + agent_strategy_provider_name=node_data.agent_strategy_provider_name, + agent_strategy_name=node_data.agent_strategy_name, + ) + except Exception as e: + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs={}, + error=f"Failed to get agent strategy: {str(e)}", + ) + ) + return + + agent_parameters = strategy.get_parameters() + + # get parameters + parameters = self._generate_agent_parameters( + agent_parameters=agent_parameters, + variable_pool=self.graph_runtime_state.variable_pool, + node_data=node_data, + ) + parameters_for_log = self._generate_agent_parameters( + agent_parameters=agent_parameters, + variable_pool=self.graph_runtime_state.variable_pool, + node_data=node_data, + for_log=True, + ) + + # get conversation id + conversation_id = self.graph_runtime_state.variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID]) + + try: + message_stream = strategy.invoke( + params=parameters, + user_id=self.user_id, + app_id=self.app_id, + conversation_id=conversation_id.text if conversation_id else None, + ) + except Exception as e: + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=parameters_for_log, + error=f"Failed to invoke agent: {str(e)}", + ) + ) + return + + try: + # convert tool messages + + yield from self._transform_message( + message_stream, + { + "icon": self.agent_strategy_icon, + "agent_strategy": cast(AgentNodeData, self.node_data).agent_strategy_name, + }, + parameters_for_log, + ) + except PluginDaemonClientSideError as e: + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=parameters_for_log, + error=f"Failed to transform agent message: {str(e)}", + ) + ) + + def _generate_agent_parameters( + self, + *, + agent_parameters: Sequence[AgentStrategyParameter], + variable_pool: VariablePool, + node_data: AgentNodeData, + for_log: bool = False, + ) -> dict[str, Any]: + """ + Generate parameters based on the given tool parameters, variable pool, and node data. + + Args: + agent_parameters (Sequence[AgentParameter]): The list of agent parameters. + variable_pool (VariablePool): The variable pool containing the variables. + node_data (AgentNodeData): The data associated with the agent node. + + Returns: + Mapping[str, Any]: A dictionary containing the generated parameters. + + """ + agent_parameters_dictionary = {parameter.name: parameter for parameter in agent_parameters} + + result: dict[str, Any] = {} + for parameter_name in node_data.agent_parameters: + parameter = agent_parameters_dictionary.get(parameter_name) + if not parameter: + result[parameter_name] = None + continue + agent_input = node_data.agent_parameters[parameter_name] + if agent_input.type == "variable": + variable = variable_pool.get(agent_input.value) # type: ignore + if variable is None: + raise ValueError(f"Variable {agent_input.value} does not exist") + parameter_value = variable.value + elif agent_input.type in {"mixed", "constant"}: + segment_group = variable_pool.convert_template(str(agent_input.value)) + parameter_value = segment_group.log if for_log else segment_group.text + else: + raise ValueError(f"Unknown agent input type '{agent_input.type}'") + value = parameter_value.strip() + if (parameter_value.startswith("{") and parameter_value.endswith("}")) or ( + parameter_value.startswith("[") and parameter_value.endswith("]") + ): + value = literal_eval(parameter_value) # transform string to python object + if parameter.type == "array[tools]": + value = cast(list[dict[str, Any]], value) + value = [tool for tool in value if tool.get("enabled", False)] + + if not for_log: + if parameter.type == "array[tools]": + value = cast(list[dict[str, Any]], value) + tool_value = [] + for tool in value: + entity = AgentToolEntity( + provider_id=tool.get("provider_name", ""), + provider_type=ToolProviderType.BUILT_IN, + tool_name=tool.get("tool_name", ""), + tool_parameters=tool.get("parameters", {}), + plugin_unique_identifier=tool.get("plugin_unique_identifier", None), + ) + + extra = tool.get("extra", {}) + + tool_runtime = ToolManager.get_agent_tool_runtime( + self.tenant_id, self.app_id, entity, self.invoke_from + ) + if tool_runtime.entity.description: + tool_runtime.entity.description.llm = ( + extra.get("descrption", "") or tool_runtime.entity.description.llm + ) + + tool_value.append( + { + **tool_runtime.entity.model_dump(mode="json"), + "runtime_parameters": tool_runtime.runtime.runtime_parameters, + } + ) + value = tool_value + if parameter.type == "model-selector": + value = cast(dict[str, Any], value) + model_instance = ModelManager().get_model_instance( + tenant_id=self.tenant_id, + provider=value.get("provider", ""), + model_type=ModelType(value.get("model_type", "")), + model=value.get("model", ""), + ) + models = model_instance.model_type_instance.plugin_model_provider.declaration.models + finded_model = next((model for model in models if model.model == value.get("model", "")), None) + + value["entity"] = finded_model.model_dump(mode="json") if finded_model else None + + result[parameter_name] = value + + return result + + @classmethod + def _extract_variable_selector_to_variable_mapping( + cls, + *, + graph_config: Mapping[str, Any], + node_id: str, + node_data: BaseNodeData, + ) -> Mapping[str, Sequence[str]]: + """ + Extract variable selector to variable mapping + :param graph_config: graph config + :param node_id: node id + :param node_data: node data + :return: + """ + node_data = cast(AgentNodeData, node_data) + result: dict[str, Any] = {} + for parameter_name in node_data.agent_parameters: + input = node_data.agent_parameters[parameter_name] + if input.type in ["mixed", "constant"]: + selectors = VariableTemplateParser(str(input.value)).extract_variable_selectors() + for selector in selectors: + result[selector.variable] = selector.value_selector + elif input.type == "variable": + result[parameter_name] = input.value + + result = {node_id + "." + key: value for key, value in result.items()} + + return result + + @property + def agent_strategy_icon(self) -> str | None: + """ + Get agent strategy icon + :return: + """ + manager = PluginInstallationManager() + plugins = manager.list_plugins(self.tenant_id) + try: + current_plugin = next( + plugin + for plugin in plugins + if f"{plugin.plugin_id}/{plugin.name}" + == cast(AgentNodeData, self.node_data).agent_strategy_provider_name + ) + icon = current_plugin.declaration.icon + except StopIteration: + icon = None + return icon diff --git a/api/core/workflow/nodes/agent/entities.py b/api/core/workflow/nodes/agent/entities.py new file mode 100644 index 00000000000000..066dcd5666ea85 --- /dev/null +++ b/api/core/workflow/nodes/agent/entities.py @@ -0,0 +1,18 @@ +from typing import Any, Literal, Union + +from pydantic import BaseModel + +from core.tools.entities.tool_entities import ToolSelector +from core.workflow.nodes.base.entities import BaseNodeData + + +class AgentNodeData(BaseNodeData): + agent_strategy_provider_name: str # redundancy + agent_strategy_name: str + agent_strategy_label: str # redundancy + + class AgentInput(BaseModel): + value: Union[list[str], list[ToolSelector], Any] + type: Literal["mixed", "variable", "constant"] + + agent_parameters: dict[str, AgentInput] diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py index 2f82bf8c382b55..b1a50c2dcc2c3f 100644 --- a/api/core/workflow/nodes/code/code_node.py +++ b/api/core/workflow/nodes/code/code_node.py @@ -195,7 +195,7 @@ def _transform_result( if output_config.type == "object": # check if output is object if not isinstance(result.get(output_name), dict): - if isinstance(result.get(output_name), type(None)): + if result[output_name] is None: transformed_result[output_name] = None else: raise OutputValidationError( @@ -223,7 +223,7 @@ def _transform_result( elif output_config.type == "array[number]": # check if array of number available if not isinstance(result[output_name], list): - if isinstance(result[output_name], type(None)): + if result[output_name] is None: transformed_result[output_name] = None else: raise OutputValidationError( @@ -244,7 +244,7 @@ def _transform_result( elif output_config.type == "array[string]": # check if array of string available if not isinstance(result[output_name], list): - if isinstance(result[output_name], type(None)): + if result[output_name] is None: transformed_result[output_name] = None else: raise OutputValidationError( @@ -265,7 +265,7 @@ def _transform_result( elif output_config.type == "array[object]": # check if array of object available if not isinstance(result[output_name], list): - if isinstance(result[output_name], type(None)): + if result[output_name] is None: transformed_result[output_name] = None else: raise OutputValidationError( diff --git a/api/core/workflow/nodes/enums.py b/api/core/workflow/nodes/enums.py index 7970a49aa42df4..25e049577ac817 100644 --- a/api/core/workflow/nodes/enums.py +++ b/api/core/workflow/nodes/enums.py @@ -22,6 +22,7 @@ class NodeType(StrEnum): VARIABLE_ASSIGNER = "assigner" DOCUMENT_EXTRACTOR = "document-extractor" LIST_OPERATOR = "list-operator" + AGENT = "agent" class ErrorStrategy(StrEnum): diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py index f1289558fffa82..a7d0aefc6d21f6 100644 --- a/api/core/workflow/nodes/iteration/iteration_node.py +++ b/api/core/workflow/nodes/iteration/iteration_node.py @@ -1,3 +1,4 @@ +import contextvars import logging import uuid from collections.abc import Generator, Mapping, Sequence @@ -174,6 +175,7 @@ def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: self._run_single_iter_parallel, flask_app=current_app._get_current_object(), # type: ignore q=q, + context=contextvars.copy_context(), iterator_list_value=iterator_list_value, inputs=inputs, outputs=outputs, @@ -568,6 +570,7 @@ def _run_single_iter_parallel( self, *, flask_app: Flask, + context: contextvars.Context, q: Queue, iterator_list_value: Sequence[str], inputs: Mapping[str, list], @@ -582,6 +585,8 @@ def _run_single_iter_parallel( """ run single iteration in parallel mode """ + for var, val in context.items(): + var.set(val) with flask_app.app_context(): parallel_mode_run_id = uuid.uuid4().hex graph_engine_copy = graph_engine.create_copy() diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py index 9f30048fe61f06..349d1a7fca29a6 100644 --- a/api/core/workflow/nodes/llm/node.py +++ b/api/core/workflow/nodes/llm/node.py @@ -236,9 +236,9 @@ def _invoke_llm( db.session.close() invoke_result = model_instance.invoke_llm( - prompt_messages=prompt_messages, + prompt_messages=list(prompt_messages), model_parameters=node_data_model.completion_params, - stop=stop, + stop=list(stop or []), stream=True, user=self.user_id, ) diff --git a/api/core/workflow/nodes/node_mapping.py b/api/core/workflow/nodes/node_mapping.py index 51fc5129cdd875..6341b9455c5943 100644 --- a/api/core/workflow/nodes/node_mapping.py +++ b/api/core/workflow/nodes/node_mapping.py @@ -1,5 +1,6 @@ from collections.abc import Mapping +from core.workflow.nodes.agent.agent_node import AgentNode from core.workflow.nodes.answer import AnswerNode from core.workflow.nodes.base import BaseNode from core.workflow.nodes.code import CodeNode @@ -101,4 +102,8 @@ LATEST_VERSION: ListOperatorNode, "1": ListOperatorNode, }, + NodeType.AGENT: { + LATEST_VERSION: AgentNode, + "1": AgentNode, + }, } diff --git a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py index 9c88047f2c8e57..e147caacf3ecea 100644 --- a/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py +++ b/api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py @@ -244,8 +244,8 @@ def _invoke( if not isinstance(invoke_result, LLMResult): raise InvalidInvokeResultError(f"Invalid invoke result: {invoke_result}") - text = invoke_result.message.content - if not isinstance(text, str | None): + text = invoke_result.message.content or "" + if not isinstance(text, str): raise InvalidTextContentTypeError(f"Invalid text content type: {type(text)}. Expected str.") usage = invoke_result.usage diff --git a/api/core/workflow/nodes/tool/entities.py b/api/core/workflow/nodes/tool/entities.py index 9e29791481436e..21023d4ab76195 100644 --- a/api/core/workflow/nodes/tool/entities.py +++ b/api/core/workflow/nodes/tool/entities.py @@ -3,16 +3,18 @@ from pydantic import BaseModel, field_validator from pydantic_core.core_schema import ValidationInfo -from core.workflow.nodes.base import BaseNodeData +from core.tools.entities.tool_entities import ToolProviderType +from core.workflow.nodes.base.entities import BaseNodeData class ToolEntity(BaseModel): provider_id: str - provider_type: Literal["builtin", "api", "workflow"] + provider_type: ToolProviderType provider_name: str # redundancy tool_name: str tool_label: str # redundancy tool_configurations: dict[str, Any] + plugin_unique_identifier: str | None = None # redundancy @field_validator("tool_configurations", mode="before") @classmethod diff --git a/api/core/workflow/nodes/tool/tool_node.py b/api/core/workflow/nodes/tool/tool_node.py index 01d07e494944b4..8518db5d8073ca 100644 --- a/api/core/workflow/nodes/tool/tool_node.py +++ b/api/core/workflow/nodes/tool/tool_node.py @@ -1,24 +1,31 @@ -from collections.abc import Mapping, Sequence -from typing import Any -from uuid import UUID +from collections.abc import Generator, Mapping, Sequence +from typing import Any, cast from sqlalchemy import select from sqlalchemy.orm import Session from core.callback_handler.workflow_tool_callback_handler import DifyWorkflowCallbackHandler -from core.file import File, FileTransferMethod, FileType +from core.file import File, FileTransferMethod +from core.plugin.manager.exc import PluginDaemonClientSideError +from core.plugin.manager.plugin import PluginInstallationManager from core.tools.entities.tool_entities import ToolInvokeMessage, ToolParameter from core.tools.tool_engine import ToolEngine from core.tools.utils.message_transformer import ToolFileMessageTransformer +from core.variables.segments import ArrayAnySegment +from core.variables.variables import ArrayAnyVariable from core.workflow.entities.node_entities import NodeRunMetadataKey, NodeRunResult from core.workflow.entities.variable_pool import VariablePool +from core.workflow.enums import SystemVariableKey +from core.workflow.graph_engine.entities.event import AgentLogEvent from core.workflow.nodes.base import BaseNode from core.workflow.nodes.enums import NodeType +from core.workflow.nodes.event import RunCompletedEvent, RunStreamChunkEvent from core.workflow.utils.variable_template_parser import VariableTemplateParser from extensions.ext_database import db from factories import file_factory from models import ToolFile from models.workflow import WorkflowNodeExecutionStatus +from services.tools.builtin_tools_manage_service import BuiltinToolManageService from .entities import ToolNodeData from .exc import ( @@ -36,11 +43,18 @@ class ToolNode(BaseNode[ToolNodeData]): _node_data_cls = ToolNodeData _node_type = NodeType.TOOL - def _run(self) -> NodeRunResult: + def _run(self) -> Generator: + """ + Run the tool node + """ + + node_data = cast(ToolNodeData, self.node_data) + # fetch tool icon tool_info = { - "provider_type": self.node_data.provider_type, - "provider_id": self.node_data.provider_id, + "provider_type": node_data.provider_type.value, + "provider_id": node_data.provider_id, + "plugin_unique_identifier": node_data.plugin_unique_identifier, } # get tool runtime @@ -51,18 +65,19 @@ def _run(self) -> NodeRunResult: self.tenant_id, self.app_id, self.node_id, self.node_data, self.invoke_from ) except ToolNodeError as e: - return NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, - inputs={}, - metadata={ - NodeRunMetadataKey.TOOL_INFO: tool_info, - }, - error=f"Failed to get tool runtime: {str(e)}", - error_type=type(e).__name__, + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs={}, + metadata={NodeRunMetadataKey.TOOL_INFO: tool_info}, + error=f"Failed to get tool runtime: {str(e)}", + error_type=type(e).__name__, + ) ) + return # get parameters - tool_parameters = tool_runtime.parameters or [] + tool_parameters = tool_runtime.get_merged_runtime_parameters() or [] parameters = self._generate_parameters( tool_parameters=tool_parameters, variable_pool=self.graph_runtime_state.variable_pool, @@ -75,51 +90,44 @@ def _run(self) -> NodeRunResult: for_log=True, ) + # get conversation id + conversation_id = self.graph_runtime_state.variable_pool.get(["sys", SystemVariableKey.CONVERSATION_ID]) + try: - messages = ToolEngine.workflow_invoke( + message_stream = ToolEngine.generic_invoke( tool=tool_runtime, tool_parameters=parameters, user_id=self.user_id, workflow_tool_callback=DifyWorkflowCallbackHandler(), workflow_call_depth=self.workflow_call_depth, thread_pool_id=self.thread_pool_id, + app_id=self.app_id, + conversation_id=conversation_id.text if conversation_id else None, ) except ToolNodeError as e: - return NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, - inputs=parameters_for_log, - metadata={ - NodeRunMetadataKey.TOOL_INFO: tool_info, - }, - error=f"Failed to invoke tool: {str(e)}", - error_type=type(e).__name__, - ) - except Exception as e: - return NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, - inputs=parameters_for_log, - metadata={ - NodeRunMetadataKey.TOOL_INFO: tool_info, - }, - error=f"Failed to invoke tool: {str(e)}", - error_type="UnknownError", + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=parameters_for_log, + metadata={NodeRunMetadataKey.TOOL_INFO: tool_info}, + error=f"Failed to invoke tool: {str(e)}", + error_type=type(e).__name__, + ) ) + return - # convert tool messages - plain_text, files, json = self._convert_tool_messages(messages) - - return NodeRunResult( - status=WorkflowNodeExecutionStatus.SUCCEEDED, - outputs={ - "text": plain_text, - "files": files, - "json": json, - }, - metadata={ - NodeRunMetadataKey.TOOL_INFO: tool_info, - }, - inputs=parameters_for_log, - ) + try: + # convert tool messages + yield from self._transform_message(message_stream, tool_info, parameters_for_log) + except PluginDaemonClientSideError as e: + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=parameters_for_log, + metadata={NodeRunMetadataKey.TOOL_INFO: tool_info}, + error=f"Failed to transform tool message: {str(e)}", + ) + ) def _generate_parameters( self, @@ -128,7 +136,7 @@ def _generate_parameters( variable_pool: VariablePool, node_data: ToolNodeData, for_log: bool = False, - ) -> Mapping[str, Any]: + ) -> dict[str, Any]: """ Generate parameters based on the given tool parameters, variable pool, and node data. @@ -164,37 +172,52 @@ def _generate_parameters( return result - def _convert_tool_messages( + def _fetch_files(self, variable_pool: VariablePool) -> list[File]: + variable = variable_pool.get(["sys", SystemVariableKey.FILES.value]) + assert isinstance(variable, ArrayAnyVariable | ArrayAnySegment) + return list(variable.value) if variable else [] + + def _transform_message( self, - messages: list[ToolInvokeMessage], - ): + messages: Generator[ToolInvokeMessage, None, None], + tool_info: Mapping[str, Any], + parameters_for_log: dict[str, Any], + ) -> Generator: """ Convert ToolInvokeMessages into tuple[plain_text, files] """ # transform message and handle file storage - messages = ToolFileMessageTransformer.transform_tool_invoke_messages( + message_stream = ToolFileMessageTransformer.transform_tool_invoke_messages( messages=messages, user_id=self.user_id, tenant_id=self.tenant_id, conversation_id=None, ) - # extract plain text and files - files = self._extract_tool_response_binary(messages) - plain_text = self._extract_tool_response_text(messages) - json = self._extract_tool_response_json(messages) - return plain_text, files, json + text = "" + files: list[File] = [] + json: list[dict] = [] + + agent_logs: list[AgentLogEvent] = [] + agent_execution_metadata: Mapping[NodeRunMetadataKey, Any] = {} + + variables: dict[str, Any] = {} + + for message in message_stream: + if message.type in { + ToolInvokeMessage.MessageType.IMAGE_LINK, + ToolInvokeMessage.MessageType.BINARY_LINK, + ToolInvokeMessage.MessageType.IMAGE, + }: + assert isinstance(message.message, ToolInvokeMessage.TextMessage) + + url = message.message.text + if message.meta: + transfer_method = message.meta.get("transfer_method", FileTransferMethod.TOOL_FILE) + else: + transfer_method = FileTransferMethod.TOOL_FILE - def _extract_tool_response_binary(self, tool_response: list[ToolInvokeMessage]) -> list[File]: - """ - Extract tool response binary - """ - result = [] - for response in tool_response: - if response.type in {ToolInvokeMessage.MessageType.IMAGE_LINK, ToolInvokeMessage.MessageType.IMAGE}: - url = str(response.message) if response.message else None tool_file_id = str(url).split("/")[-1].split(".")[0] - transfer_method = response.meta.get("transfer_method", FileTransferMethod.TOOL_FILE) with Session(db.engine) as session: stmt = select(ToolFile).where(ToolFile.id == tool_file_id) @@ -204,7 +227,7 @@ def _extract_tool_response_binary(self, tool_response: list[ToolInvokeMessage]) mapping = { "tool_file_id": tool_file_id, - "type": FileType.IMAGE, + "type": file_factory.get_file_type_by_mime_type(tool_file.mimetype), "transfer_method": transfer_method, "url": url, } @@ -212,69 +235,138 @@ def _extract_tool_response_binary(self, tool_response: list[ToolInvokeMessage]) mapping=mapping, tenant_id=self.tenant_id, ) - result.append(file) - elif response.type == ToolInvokeMessage.MessageType.BLOB: - tool_file_id = str(response.message).split("/")[-1].split(".")[0] + files.append(file) + elif message.type == ToolInvokeMessage.MessageType.BLOB: + # get tool file id + assert isinstance(message.message, ToolInvokeMessage.TextMessage) + assert message.meta + + tool_file_id = message.message.text.split("/")[-1].split(".")[0] with Session(db.engine) as session: stmt = select(ToolFile).where(ToolFile.id == tool_file_id) tool_file = session.scalar(stmt) if tool_file is None: - raise ValueError(f"tool file {tool_file_id} not exists") + raise ToolFileError(f"tool file {tool_file_id} not exists") + mapping = { "tool_file_id": tool_file_id, "transfer_method": FileTransferMethod.TOOL_FILE, } - file = file_factory.build_from_mapping( - mapping=mapping, - tenant_id=self.tenant_id, + + files.append( + file_factory.build_from_mapping( + mapping=mapping, + tenant_id=self.tenant_id, + ) ) - result.append(file) - elif response.type == ToolInvokeMessage.MessageType.LINK: - url = str(response.message) - transfer_method = FileTransferMethod.TOOL_FILE - tool_file_id = url.split("/")[-1].split(".")[0] - try: - UUID(tool_file_id) - except ValueError: - raise ToolFileError(f"cannot extract tool file id from url {url}") - with Session(db.engine) as session: - stmt = select(ToolFile).where(ToolFile.id == tool_file_id) - tool_file = session.scalar(stmt) - if tool_file is None: - raise ToolFileError(f"Tool file {tool_file_id} does not exist") - mapping = { - "tool_file_id": tool_file_id, - "transfer_method": transfer_method, - "url": url, - } - file = file_factory.build_from_mapping( - mapping=mapping, - tenant_id=self.tenant_id, + elif message.type == ToolInvokeMessage.MessageType.TEXT: + assert isinstance(message.message, ToolInvokeMessage.TextMessage) + text += message.message.text + yield RunStreamChunkEvent( + chunk_content=message.message.text, from_variable_selector=[self.node_id, "text"] ) - result.append(file) + elif message.type == ToolInvokeMessage.MessageType.JSON: + assert isinstance(message.message, ToolInvokeMessage.JsonMessage) + if self.node_type == NodeType.AGENT: + msg_metadata = message.message.json_object.pop("execution_metadata", {}) + agent_execution_metadata = { + key: value for key, value in msg_metadata.items() if key in NodeRunMetadataKey + } + json.append(message.message.json_object) + elif message.type == ToolInvokeMessage.MessageType.LINK: + assert isinstance(message.message, ToolInvokeMessage.TextMessage) + stream_text = f"Link: {message.message.text}\n" + text += stream_text + yield RunStreamChunkEvent(chunk_content=stream_text, from_variable_selector=[self.node_id, "text"]) + elif message.type == ToolInvokeMessage.MessageType.VARIABLE: + assert isinstance(message.message, ToolInvokeMessage.VariableMessage) + variable_name = message.message.variable_name + variable_value = message.message.variable_value + if message.message.stream: + if not isinstance(variable_value, str): + raise ValueError("When 'stream' is True, 'variable_value' must be a string.") + if variable_name not in variables: + variables[variable_name] = "" + variables[variable_name] += variable_value - elif response.type == ToolInvokeMessage.MessageType.FILE: - assert response.meta is not None - result.append(response.meta["file"]) + yield RunStreamChunkEvent( + chunk_content=variable_value, from_variable_selector=[self.node_id, variable_name] + ) + else: + variables[variable_name] = variable_value + elif message.type == ToolInvokeMessage.MessageType.FILE: + assert message.meta is not None + files.append(message.meta["file"]) + elif message.type == ToolInvokeMessage.MessageType.LOG: + assert isinstance(message.message, ToolInvokeMessage.LogMessage) + if message.message.metadata: + icon = tool_info.get("icon", "") + dict_metadata = dict(message.message.metadata) + if dict_metadata.get("provider"): + manager = PluginInstallationManager() + plugins = manager.list_plugins(self.tenant_id) + try: + current_plugin = next( + plugin + for plugin in plugins + if f"{plugin.plugin_id}/{plugin.name}" == dict_metadata["provider"] + ) + icon = current_plugin.declaration.icon + except StopIteration: + pass + try: + builtin_tool = next( + provider + for provider in BuiltinToolManageService.list_builtin_tools( + self.user_id, + self.tenant_id, + ) + if provider.name == dict_metadata["provider"] + ) + icon = builtin_tool.icon + except StopIteration: + pass - return result + dict_metadata["icon"] = icon + message.message.metadata = dict_metadata + agent_log = AgentLogEvent( + id=message.message.id, + node_execution_id=self.id, + parent_id=message.message.parent_id, + error=message.message.error, + status=message.message.status.value, + data=message.message.data, + label=message.message.label, + metadata=message.message.metadata, + ) - def _extract_tool_response_text(self, tool_response: list[ToolInvokeMessage]) -> str: - """ - Extract tool response text - """ - return "\n".join( - [ - str(message.message) - if message.type == ToolInvokeMessage.MessageType.TEXT - else f"Link: {str(message.message)}" - for message in tool_response - if message.type in {ToolInvokeMessage.MessageType.TEXT, ToolInvokeMessage.MessageType.LINK} - ] - ) + # check if the agent log is already in the list + for log in agent_logs: + if log.id == agent_log.id: + # update the log + log.data = agent_log.data + log.status = agent_log.status + log.error = agent_log.error + log.label = agent_log.label + log.metadata = agent_log.metadata + break + else: + agent_logs.append(agent_log) - def _extract_tool_response_json(self, tool_response: list[ToolInvokeMessage]): - return [message.message for message in tool_response if message.type == ToolInvokeMessage.MessageType.JSON] + yield agent_log + + yield RunCompletedEvent( + run_result=NodeRunResult( + status=WorkflowNodeExecutionStatus.SUCCEEDED, + outputs={"text": text, "files": files, "json": json, **variables}, + metadata={ + **agent_execution_metadata, + NodeRunMetadataKey.TOOL_INFO: tool_info, + NodeRunMetadataKey.AGENT_LOG: agent_logs, + }, + inputs=parameters_for_log, + ) + ) @classmethod def _extract_variable_selector_to_variable_mapping( @@ -295,7 +387,8 @@ def _extract_variable_selector_to_variable_mapping( for parameter_name in node_data.tool_parameters: input = node_data.tool_parameters[parameter_name] if input.type == "mixed": - selectors = VariableTemplateParser(str(input.value)).extract_variable_selectors() + assert isinstance(input.value, str) + selectors = VariableTemplateParser(input.value).extract_variable_selectors() for selector in selectors: result[selector.variable] = selector.value_selector elif input.type == "variable": diff --git a/api/core/workflow/workflow_entry.py b/api/core/workflow/workflow_entry.py index f622d0b2d01f28..5a7d5373c1ba9d 100644 --- a/api/core/workflow/workflow_entry.py +++ b/api/core/workflow/workflow_entry.py @@ -2,7 +2,7 @@ import time import uuid from collections.abc import Generator, Mapping, Sequence -from typing import Any, Optional +from typing import Any, Optional, cast from configs import dify_config from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError @@ -194,6 +194,105 @@ def single_step_run( raise WorkflowNodeRunFailedError(node_instance=node_instance, error=str(e)) return node_instance, generator + @classmethod + def run_free_node( + cls, node_data: dict, node_id: str, tenant_id: str, user_id: str, user_inputs: dict[str, Any] + ) -> tuple[BaseNode, Generator[NodeEvent | InNodeEvent, None, None]]: + """ + Run free node + + NOTE: only parameter_extractor/question_classifier are supported + + :param node_data: node data + :param user_id: user id + :param user_inputs: user inputs + :return: + """ + # generate a fake graph + node_config = {"id": node_id, "width": 114, "height": 514, "type": "custom", "data": node_data} + start_node_config = { + "id": "start", + "width": 114, + "height": 514, + "type": "custom", + "data": { + "type": NodeType.START.value, + "title": "Start", + "desc": "Start", + }, + } + graph_dict = { + "nodes": [start_node_config, node_config], + "edges": [ + { + "source": "start", + "target": node_id, + "sourceHandle": "source", + "targetHandle": "target", + } + ], + } + + node_type = NodeType(node_data.get("type", "")) + if node_type not in {NodeType.PARAMETER_EXTRACTOR, NodeType.QUESTION_CLASSIFIER}: + raise ValueError(f"Node type {node_type} not supported") + + node_cls = NODE_TYPE_CLASSES_MAPPING[node_type]["1"] + if not node_cls: + raise ValueError(f"Node class not found for node type {node_type}") + + graph = Graph.init(graph_config=graph_dict) + + # init variable pool + variable_pool = VariablePool( + system_variables={}, + user_inputs={}, + environment_variables=[], + ) + + node_cls = cast(type[BaseNode], node_cls) + # init workflow run state + node_instance: BaseNode = node_cls( + id=str(uuid.uuid4()), + config=node_config, + graph_init_params=GraphInitParams( + tenant_id=tenant_id, + app_id="", + workflow_type=WorkflowType.WORKFLOW, + workflow_id="", + graph_config=graph_dict, + user_id=user_id, + user_from=UserFrom.ACCOUNT, + invoke_from=InvokeFrom.DEBUGGER, + call_depth=0, + ), + graph=graph, + graph_runtime_state=GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter()), + ) + + try: + # variable selector to variable mapping + try: + variable_mapping = node_cls.extract_variable_selector_to_variable_mapping( + graph_config=graph_dict, config=node_config + ) + except NotImplementedError: + variable_mapping = {} + + cls.mapping_user_inputs_to_variable_pool( + variable_mapping=variable_mapping, + user_inputs=user_inputs, + variable_pool=variable_pool, + tenant_id=tenant_id, + ) + + # run node + generator = node_instance.run() + + return node_instance, generator + except Exception as e: + raise WorkflowNodeRunFailedError(node_instance=node_instance, error=str(e)) + @staticmethod def handle_special_values(value: Optional[Mapping[str, Any]]) -> Mapping[str, Any] | None: result = WorkflowEntry._handle_special_values(value) diff --git a/api/events/event_handlers/deduct_quota_when_message_created.py b/api/events/event_handlers/deduct_quota_when_message_created.py index d196a4862013b7..b1b2d2a0864197 100644 --- a/api/events/event_handlers/deduct_quota_when_message_created.py +++ b/api/events/event_handlers/deduct_quota_when_message_created.py @@ -23,6 +23,9 @@ def handle(sender, **kwargs): system_configuration = provider_configuration.system_configuration + if not system_configuration.current_quota_type: + return + quota_unit = None for quota_configuration in system_configuration.quota_configurations: if quota_configuration.quota_type == system_configuration.current_quota_type: diff --git a/api/extensions/ext_commands.py b/api/extensions/ext_commands.py index ccf0d316ca486e..3f5ae539c5b694 100644 --- a/api/extensions/ext_commands.py +++ b/api/extensions/ext_commands.py @@ -6,7 +6,11 @@ def init_app(app: DifyApp): add_qdrant_doc_id_index, convert_to_agent_apps, create_tenant, + extract_plugins, + extract_unique_plugins, fix_app_site_missing, + install_plugins, + migrate_data_for_plugin, reset_email, reset_encrypt_key_pair, reset_password, @@ -24,6 +28,10 @@ def init_app(app: DifyApp): create_tenant, upgrade_db, fix_app_site_missing, + migrate_data_for_plugin, + extract_plugins, + extract_unique_plugins, + install_plugins, ] for cmd in cmds_to_register: app.cli.add_command(cmd) diff --git a/api/extensions/ext_redis.py b/api/extensions/ext_redis.py index da4180570793e5..f8679f7e4b477a 100644 --- a/api/extensions/ext_redis.py +++ b/api/extensions/ext_redis.py @@ -54,7 +54,7 @@ def init_app(app: DifyApp): redis_params: dict[str, Any] = { "username": dify_config.REDIS_USERNAME, - "password": dify_config.REDIS_PASSWORD, + "password": dify_config.REDIS_PASSWORD or None, # Temporary fix for empty password "db": dify_config.REDIS_DB, "encoding": "utf-8", "encoding_errors": "strict", diff --git a/api/extensions/storage/opendal_storage.py b/api/extensions/storage/opendal_storage.py index b78fc94dae7843..98f646f4f9f92a 100644 --- a/api/extensions/storage/opendal_storage.py +++ b/api/extensions/storage/opendal_storage.py @@ -34,7 +34,7 @@ def __init__(self, scheme: str, **kwargs): root = kwargs.get("root", "storage") Path(root).mkdir(parents=True, exist_ok=True) - self.op = opendal.Operator(scheme=scheme, **kwargs) + self.op = opendal.Operator(scheme=scheme, **kwargs) # type: ignore logger.debug(f"opendal operator created with scheme {scheme}") retry_layer = opendal.layers.RetryLayer(max_times=3, factor=2.0, jitter=True) self.op = self.op.layer(retry_layer) diff --git a/api/factories/agent_factory.py b/api/factories/agent_factory.py new file mode 100644 index 00000000000000..4b2d2cc769db6a --- /dev/null +++ b/api/factories/agent_factory.py @@ -0,0 +1,15 @@ +from core.agent.strategy.plugin import PluginAgentStrategy +from core.plugin.manager.agent import PluginAgentManager + + +def get_plugin_agent_strategy( + tenant_id: str, agent_strategy_provider_name: str, agent_strategy_name: str +) -> PluginAgentStrategy: + # TODO: use contexts to cache the agent provider + manager = PluginAgentManager() + agent_provider = manager.fetch_agent_strategy_provider(tenant_id, agent_strategy_provider_name) + for agent_strategy in agent_provider.declaration.strategies: + if agent_strategy.identity.name == agent_strategy_name: + return PluginAgentStrategy(tenant_id, agent_strategy) + + raise ValueError(f"Agent strategy {agent_strategy_name} not found") diff --git a/api/factories/file_factory.py b/api/factories/file_factory.py index c6dc748e93bd03..24d3c8b90669da 100644 --- a/api/factories/file_factory.py +++ b/api/factories/file_factory.py @@ -302,3 +302,7 @@ def _get_file_type_by_mimetype(mime_type: str) -> FileType | None: else: file_type = FileType.CUSTOM return file_type + + +def get_file_type_by_mime_type(mime_type: str) -> FileType: + return _get_file_type_by_mimetype(mime_type) or FileType.CUSTOM diff --git a/api/fields/app_fields.py b/api/fields/app_fields.py index 73800eab853cd3..eaf684f16ad832 100644 --- a/api/fields/app_fields.py +++ b/api/fields/app_fields.py @@ -149,6 +149,12 @@ "updated_at": TimestampField, } +deleted_tool_fields = { + "type": fields.String, + "tool_name": fields.String, + "provider_id": fields.String, +} + app_detail_fields_with_site = { "id": fields.String, "name": fields.String, @@ -169,9 +175,10 @@ "created_at": TimestampField, "updated_by": fields.String, "updated_at": TimestampField, - "deleted_tools": fields.List(fields.String), + "deleted_tools": fields.List(fields.Nested(deleted_tool_fields)), } + app_site_fields = { "app_id": fields.String, "access_token": fields.String(attribute="code"), @@ -191,6 +198,8 @@ "use_icon_as_answer_icon": fields.Boolean, } +leaked_dependency_fields = {"type": fields.String, "value": fields.Raw, "current_identifier": fields.String} + app_import_fields = { "id": fields.String, "status": fields.String, @@ -199,3 +208,7 @@ "imported_dsl_version": fields.String, "error": fields.String, } + +app_import_check_dependencies_fields = { + "leaked_dependencies": fields.List(fields.Nested(leaked_dependency_fields)), +} diff --git a/api/fields/hit_testing_fields.py b/api/fields/hit_testing_fields.py index b9f7e78c170529..d9758474f7afb0 100644 --- a/api/fields/hit_testing_fields.py +++ b/api/fields/hit_testing_fields.py @@ -14,6 +14,7 @@ "position": fields.Integer, "document_id": fields.String, "content": fields.String, + "sign_content": fields.String, "answer": fields.String, "word_count": fields.Integer, "tokens": fields.Integer, diff --git a/api/fields/segment_fields.py b/api/fields/segment_fields.py index 52f89859c931b7..aaac31cf40109e 100644 --- a/api/fields/segment_fields.py +++ b/api/fields/segment_fields.py @@ -18,6 +18,7 @@ "position": fields.Integer, "document_id": fields.String, "content": fields.String, + "sign_content": fields.String, "answer": fields.String, "word_count": fields.Integer, "tokens": fields.Integer, diff --git a/api/libs/helper.py b/api/libs/helper.py index 4f14f010f4b98b..f0325734d83639 100644 --- a/api/libs/helper.py +++ b/api/libs/helper.py @@ -9,7 +9,7 @@ from collections.abc import Generator, Mapping from datetime import datetime from hashlib import sha256 -from typing import Any, Optional, Union, cast +from typing import TYPE_CHECKING, Any, Optional, Union, cast from zoneinfo import available_timezones from flask import Response, stream_with_context @@ -19,7 +19,9 @@ from core.app.features.rate_limiting.rate_limit import RateLimitGenerator from core.file import helpers as file_helpers from extensions.ext_redis import redis_client -from models.account import Account + +if TYPE_CHECKING: + from models.account import Account def run(script): @@ -192,9 +194,7 @@ def generate_text_hash(text: str) -> str: return sha256(hash_text.encode()).hexdigest() -def compact_generate_response( - response: Union[Mapping[str, Any], RateLimitGenerator, Generator[str, None, None]], -) -> Response: +def compact_generate_response(response: Union[Mapping, Generator, RateLimitGenerator]) -> Response: if isinstance(response, dict): return Response(response=json.dumps(response), status=200, mimetype="application/json") else: @@ -210,7 +210,7 @@ class TokenManager: def generate_token( cls, token_type: str, - account: Optional[Account] = None, + account: Optional["Account"] = None, email: Optional[str] = None, additional_data: Optional[dict] = None, ) -> str: diff --git a/api/libs/login.py b/api/libs/login.py index 5395534a6df93a..b128c53c62114f 100644 --- a/api/libs/login.py +++ b/api/libs/login.py @@ -10,6 +10,7 @@ from configs import dify_config from extensions.ext_database import db from models.account import Account, Tenant, TenantAccountJoin +from models.model import EndUser #: A proxy for the current user. If no user is logged in, this will be an #: anonymous user @@ -96,11 +97,11 @@ def decorated_view(*args, **kwargs): return decorated_view -def _get_user(): +def _get_user() -> EndUser | Account | None: if has_request_context(): if "_login_user" not in g: current_app.login_manager._load_user() # type: ignore - return g._login_user + return g._login_user # type: ignore return None diff --git a/api/migrations/env.py b/api/migrations/env.py index ad3a122c04bc2d..a5d815dcfd44bc 100644 --- a/api/migrations/env.py +++ b/api/migrations/env.py @@ -31,19 +31,16 @@ def get_engine_url(): # from myapp import mymodel # target_metadata = mymodel.Base.metadata config.set_main_option('sqlalchemy.url', get_engine_url()) -target_db = current_app.extensions['migrate'].db # other values from the config, defined by the needs of env.py, # can be acquired: # my_important_option = config.get_main_option("my_important_option") # ... etc. +from models.base import Base def get_metadata(): - if hasattr(target_db, 'metadatas'): - return target_db.metadatas[None] - return target_db.metadata - + return Base.metadata def include_object(object, name, type_, reflected, compare_to): if type_ == "foreign_key_constraint": diff --git a/api/migrations/versions/2024_09_29_0835-ddcc8bbef391_increase_max_length_of_builtin_tool_provider.py b/api/migrations/versions/2024_09_29_0835-ddcc8bbef391_increase_max_length_of_builtin_tool_provider.py new file mode 100644 index 00000000000000..71006679e1ac29 --- /dev/null +++ b/api/migrations/versions/2024_09_29_0835-ddcc8bbef391_increase_max_length_of_builtin_tool_provider.py @@ -0,0 +1,39 @@ +"""increase max length of builtin tool provider + +Revision ID: ddcc8bbef391 +Revises: d57ba9ebb251 +Create Date: 2024-09-29 08:35:58.062698 + +""" +from alembic import op +import models as models +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision = 'ddcc8bbef391' +down_revision = 'a91b476a53de' # HEAD OF PLUGIN BRANCH +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('tool_builtin_providers', schema=None) as batch_op: + batch_op.alter_column('provider', + existing_type=sa.VARCHAR(length=40), + type_=sa.String(length=256), + existing_nullable=False) + + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table('tool_builtin_providers', schema=None) as batch_op: + batch_op.alter_column('provider', + existing_type=sa.String(length=256), + type_=sa.VARCHAR(length=40), + existing_nullable=False) + + # ### end Alembic commands ### diff --git a/api/migrations/versions/2024_10_28_0720-08ec4f75af5e_add_tenant_plugin_permisisons.py b/api/migrations/versions/2024_10_28_0720-08ec4f75af5e_add_tenant_plugin_permisisons.py new file mode 100644 index 00000000000000..51a0b1b211766b --- /dev/null +++ b/api/migrations/versions/2024_10_28_0720-08ec4f75af5e_add_tenant_plugin_permisisons.py @@ -0,0 +1,37 @@ +"""add_tenant_plugin_permisisons + +Revision ID: 08ec4f75af5e +Revises: ddcc8bbef391 +Create Date: 2024-10-28 07:20:39.711124 + +""" +from alembic import op +import models as models +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision = '08ec4f75af5e' +down_revision = 'ddcc8bbef391' +branch_labels = None +depends_on = None + + +def upgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.create_table('account_plugin_permissions', + sa.Column('id', models.types.StringUUID(), server_default=sa.text('uuid_generate_v4()'), nullable=False), + sa.Column('tenant_id', models.types.StringUUID(), nullable=False), + sa.Column('install_permission', sa.String(length=16), server_default='everyone', nullable=False), + sa.Column('debug_permission', sa.String(length=16), server_default='noone', nullable=False), + sa.PrimaryKeyConstraint('id', name='account_plugin_permission_pkey'), + sa.UniqueConstraint('tenant_id', name='unique_tenant_plugin') + ) + + # ### end Alembic commands ### + + +def downgrade(): + # ### commands auto generated by Alembic - please adjust! ### + op.drop_table('account_plugin_permissions') + # ### end Alembic commands ### diff --git a/api/models/__init__.py b/api/models/__init__.py index b0b9880ca42a9d..1237c55a306b93 100644 --- a/api/models/__init__.py +++ b/api/models/__init__.py @@ -73,7 +73,6 @@ from .tools import ( ApiToolProvider, BuiltinToolProvider, - PublishedAppTool, ToolConversationVariables, ToolFile, ToolLabelBinding, @@ -150,7 +149,6 @@ "ProviderOrder", "ProviderQuotaType", "ProviderType", - "PublishedAppTool", "RecommendedApp", "SavedMessage", "Site", diff --git a/api/models/account.py b/api/models/account.py index 35a28df7505943..bac1ec1c2e3e05 100644 --- a/api/models/account.py +++ b/api/models/account.py @@ -5,6 +5,8 @@ from sqlalchemy import func from sqlalchemy.orm import Mapped, mapped_column +from models.base import Base + from .engine import db from .types import StringUUID @@ -17,7 +19,7 @@ class AccountStatus(enum.StrEnum): CLOSED = "closed" -class Account(UserMixin, db.Model): # type: ignore[name-defined] +class Account(UserMixin, Base): __tablename__ = "accounts" __table_args__ = (db.PrimaryKeyConstraint("id", name="account_pkey"), db.Index("account_email_idx", "email")) @@ -54,8 +56,8 @@ def current_tenant(self, value: "Tenant"): if ta: tenant.current_role = ta.role else: - # FIXME: fix the type error later, because the type is important maybe cause some bugs tenant = None # type: ignore + self._current_tenant = tenant @property @@ -78,7 +80,7 @@ def current_tenant_id(self, value: str): tenant.current_role = ta.role else: tenant = None - except: + except Exception: tenant = None self._current_tenant = tenant @@ -102,6 +104,7 @@ def get_by_openid(cls, provider: str, open_id: str): return db.session.query(Account).filter(Account.id == account_integrate.account_id).one_or_none() return None + # check current_user.current_tenant.current_role in ['admin', 'owner'] @property def is_admin_or_owner(self): return TenantAccountRole.is_privileged_role(self._current_tenant.current_role) @@ -137,6 +140,8 @@ class TenantAccountRole(enum.StrEnum): @staticmethod def is_valid_role(role: str) -> bool: + if not role: + return False return role in { TenantAccountRole.OWNER, TenantAccountRole.ADMIN, @@ -147,14 +152,20 @@ def is_valid_role(role: str) -> bool: @staticmethod def is_privileged_role(role: str) -> bool: + if not role: + return False return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN} @staticmethod def is_admin_role(role: str) -> bool: + if not role: + return False return role == TenantAccountRole.ADMIN @staticmethod def is_non_owner_role(role: str) -> bool: + if not role: + return False return role in { TenantAccountRole.ADMIN, TenantAccountRole.EDITOR, @@ -164,10 +175,14 @@ def is_non_owner_role(role: str) -> bool: @staticmethod def is_editing_role(role: str) -> bool: + if not role: + return False return role in {TenantAccountRole.OWNER, TenantAccountRole.ADMIN, TenantAccountRole.EDITOR} @staticmethod def is_dataset_edit_role(role: str) -> bool: + if not role: + return False return role in { TenantAccountRole.OWNER, TenantAccountRole.ADMIN, @@ -264,4 +279,29 @@ class InvitationCode(db.Model): # type: ignore[name-defined] used_by_tenant_id = db.Column(StringUUID) used_by_account_id = db.Column(StringUUID) deprecated_at = db.Column(db.DateTime) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) + + +class TenantPluginPermission(Base): + class InstallPermission(enum.StrEnum): + EVERYONE = "everyone" + ADMINS = "admins" + NOBODY = "noone" + + class DebugPermission(enum.StrEnum): + EVERYONE = "everyone" + ADMINS = "admins" + NOBODY = "noone" + + __tablename__ = "account_plugin_permissions" + __table_args__ = ( + db.PrimaryKeyConstraint("id", name="account_plugin_permission_pkey"), + db.UniqueConstraint("tenant_id", name="unique_tenant_plugin"), + ) + + id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + install_permission: Mapped[InstallPermission] = mapped_column( + db.String(16), nullable=False, server_default="everyone" + ) + debug_permission: Mapped[DebugPermission] = mapped_column(db.String(16), nullable=False, server_default="noone") diff --git a/api/models/base.py b/api/models/base.py new file mode 100644 index 00000000000000..da9509301afae4 --- /dev/null +++ b/api/models/base.py @@ -0,0 +1,5 @@ +from sqlalchemy.orm import declarative_base + +from models.engine import metadata + +Base = declarative_base(metadata=metadata) diff --git a/api/models/dataset.py b/api/models/dataset.py index 1cf3dc42fe8235..2e7fd6b41f62ec 100644 --- a/api/models/dataset.py +++ b/api/models/dataset.py @@ -584,6 +584,10 @@ def child_chunks(self): else: return [] + @property + def sign_content(self): + return self.get_sign_content() + def get_sign_content(self): signed_urls = [] text = self.content diff --git a/api/models/model.py b/api/models/model.py index 2780b79c98e2b6..aaed9ded770f83 100644 --- a/api/models/model.py +++ b/api/models/model.py @@ -3,20 +3,31 @@ import uuid from collections.abc import Mapping from datetime import datetime -from enum import Enum, StrEnum -from typing import TYPE_CHECKING, Any, Literal, Optional, cast +from enum import Enum +from typing import TYPE_CHECKING, Optional + +from core.plugin.entities.plugin import GenericProviderID +from core.tools.entities.tool_entities import ToolProviderType +from services.plugin.plugin_service import PluginService + +if TYPE_CHECKING: + from models.workflow import Workflow + +from enum import StrEnum +from typing import TYPE_CHECKING, Any, Literal, cast import sqlalchemy as sa from flask import request from flask_login import UserMixin # type: ignore -from sqlalchemy import Float, func, text -from sqlalchemy.orm import Mapped, mapped_column +from sqlalchemy import Float, Index, PrimaryKeyConstraint, func, text +from sqlalchemy.orm import Mapped, Session, mapped_column from configs import dify_config from core.file import FILE_MODEL_IDENTITY, File, FileTransferMethod, FileType from core.file import helpers as file_helpers from core.file.tool_file_parser import ToolFileParser from libs.helper import generate_string +from models.base import Base from models.enums import CreatedByRole from models.workflow import WorkflowRunStatus @@ -28,7 +39,7 @@ from .workflow import Workflow -class DifySetup(db.Model): # type: ignore[name-defined] +class DifySetup(Base): __tablename__ = "dify_setups" __table_args__ = (db.PrimaryKeyConstraint("version", name="dify_setup_pkey"),) @@ -63,7 +74,7 @@ class IconType(Enum): EMOJI = "emoji" -class App(db.Model): # type: ignore[name-defined] +class App(Base): __tablename__ = "apps" __table_args__ = (db.PrimaryKeyConstraint("id", name="app_pkey"), db.Index("app_tenant_id_idx", "tenant_id")) @@ -141,7 +152,8 @@ def is_agent(self) -> bool: return False if not app_model_config.agent_mode: return False - if self.app_model_config.agent_mode_dict.get("enabled", False) and self.app_model_config.agent_mode_dict.get( + + if app_model_config.agent_mode_dict.get("enabled", False) and app_model_config.agent_mode_dict.get( "strategy", "" ) in {"function_call", "react"}: self.mode = AppMode.AGENT_CHAT.value @@ -158,47 +170,113 @@ def mode_compatible_with_agent(self) -> str: @property def deleted_tools(self) -> list: + from core.tools.tool_manager import ToolManager + # get agent mode tools app_model_config = self.app_model_config if not app_model_config: return [] + if not app_model_config.agent_mode: return [] + agent_mode = app_model_config.agent_mode_dict tools = agent_mode.get("tools", []) - provider_ids = [] + api_provider_ids: list[str] = [] + builtin_provider_ids: list[GenericProviderID] = [] for tool in tools: keys = list(tool.keys()) if len(keys) >= 4: provider_type = tool.get("provider_type", "") provider_id = tool.get("provider_id", "") - if provider_type == "api": - # check if provider id is a uuid string, if not, skip + if provider_type == ToolProviderType.API.value: try: uuid.UUID(provider_id) except Exception: continue - provider_ids.append(provider_id) + api_provider_ids.append(provider_id) + if provider_type == ToolProviderType.BUILT_IN.value: + try: + # check if it's hardcoded + try: + ToolManager.get_hardcoded_provider(provider_id) + is_hardcoded = True + except Exception: + is_hardcoded = False + + provider_id = GenericProviderID(provider_id, is_hardcoded) + except Exception: + continue + + builtin_provider_ids.append(provider_id) - if not provider_ids: + if not api_provider_ids and not builtin_provider_ids: return [] - api_providers = db.session.execute( - text("SELECT id FROM tool_api_providers WHERE id IN :provider_ids"), {"provider_ids": tuple(provider_ids)} - ).fetchall() + with Session(db.engine) as session: + if api_provider_ids: + existing_api_providers = [ + api_provider.id + for api_provider in session.execute( + text("SELECT id FROM tool_api_providers WHERE id IN :provider_ids"), + {"provider_ids": tuple(api_provider_ids)}, + ).fetchall() + ] + else: + existing_api_providers = [] + + if builtin_provider_ids: + # get the non-hardcoded builtin providers + non_hardcoded_builtin_providers = [ + provider_id for provider_id in builtin_provider_ids if not provider_id.is_hardcoded + ] + if non_hardcoded_builtin_providers: + existence = list(PluginService.check_tools_existence(self.tenant_id, non_hardcoded_builtin_providers)) + else: + existence = [] + # add the hardcoded builtin providers + existence.extend([True] * (len(builtin_provider_ids) - len(non_hardcoded_builtin_providers))) + builtin_provider_ids = non_hardcoded_builtin_providers + [ + provider_id for provider_id in builtin_provider_ids if provider_id.is_hardcoded + ] + else: + existence = [] + + existing_builtin_providers = { + provider_id.provider_name: existence[i] for i, provider_id in enumerate(builtin_provider_ids) + } deleted_tools = [] - current_api_provider_ids = [str(api_provider.id) for api_provider in api_providers] for tool in tools: keys = list(tool.keys()) if len(keys) >= 4: provider_type = tool.get("provider_type", "") provider_id = tool.get("provider_id", "") - if provider_type == "api" and provider_id not in current_api_provider_ids: - deleted_tools.append(tool["tool_name"]) + + if provider_type == ToolProviderType.API.value: + if provider_id not in existing_api_providers: + deleted_tools.append( + { + "type": ToolProviderType.API.value, + "tool_name": tool["tool_name"], + "provider_id": provider_id, + } + ) + + if provider_type == ToolProviderType.BUILT_IN.value: + generic_provider_id = GenericProviderID(provider_id) + + if not existing_builtin_providers[generic_provider_id.provider_name]: + deleted_tools.append( + { + "type": ToolProviderType.BUILT_IN.value, + "tool_name": tool["tool_name"], + "provider_id": provider_id, # use the original one + } + ) return deleted_tools @@ -219,7 +297,7 @@ def tags(self): return tags or [] -class AppModelConfig(db.Model): # type: ignore[name-defined] +class AppModelConfig(Base): __tablename__ = "app_model_configs" __table_args__ = (db.PrimaryKeyConstraint("id", name="app_model_config_pkey"), db.Index("app_app_id_idx", "app_id")) @@ -292,6 +370,9 @@ def annotation_reply_dict(self) -> dict: ) if annotation_setting: collection_binding_detail = annotation_setting.collection_binding_detail + if not collection_binding_detail: + raise ValueError("Collection binding detail not found") + return { "id": annotation_setting.id, "enabled": True, @@ -322,7 +403,7 @@ def external_data_tools_list(self) -> list[dict]: return json.loads(self.external_data_tools) if self.external_data_tools else [] @property - def user_input_form_list(self) -> list[dict]: + def user_input_form_list(self): return json.loads(self.user_input_form) if self.user_input_form else [] @property @@ -466,7 +547,7 @@ def copy(self): return new_app_model_config -class RecommendedApp(db.Model): # type: ignore[name-defined] +class RecommendedApp(Base): __tablename__ = "recommended_apps" __table_args__ = ( db.PrimaryKeyConstraint("id", name="recommended_app_pkey"), @@ -494,7 +575,7 @@ def app(self): return app -class InstalledApp(db.Model): # type: ignore[name-defined] +class InstalledApp(Base): __tablename__ = "installed_apps" __table_args__ = ( db.PrimaryKeyConstraint("id", name="installed_app_pkey"), @@ -523,7 +604,7 @@ def tenant(self): return tenant -class Conversation(db.Model): # type: ignore[name-defined] +class Conversation(Base): __tablename__ = "conversations" __table_args__ = ( db.PrimaryKeyConstraint("id", name="conversation_pkey"), @@ -758,16 +839,16 @@ def in_debug_mode(self): return self.override_model_configs is not None -class Message(db.Model): # type: ignore[name-defined] +class Message(Base): __tablename__ = "messages" __table_args__ = ( - db.PrimaryKeyConstraint("id", name="message_pkey"), - db.Index("message_app_id_idx", "app_id", "created_at"), - db.Index("message_conversation_id_idx", "conversation_id"), - db.Index("message_end_user_idx", "app_id", "from_source", "from_end_user_id"), - db.Index("message_account_idx", "app_id", "from_source", "from_account_id"), - db.Index("message_workflow_run_id_idx", "conversation_id", "workflow_run_id"), - db.Index("message_created_at_idx", "created_at"), + PrimaryKeyConstraint("id", name="message_pkey"), + Index("message_app_id_idx", "app_id", "created_at"), + Index("message_conversation_id_idx", "conversation_id"), + Index("message_end_user_idx", "app_id", "from_source", "from_end_user_id"), + Index("message_account_idx", "app_id", "from_source", "from_account_id"), + Index("message_workflow_run_id_idx", "conversation_id", "workflow_run_id"), + Index("message_created_at_idx", "created_at"), ) id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) @@ -1109,7 +1190,7 @@ def from_dict(cls, data: dict): ) -class MessageFeedback(db.Model): # type: ignore[name-defined] +class MessageFeedback(Base): __tablename__ = "message_feedbacks" __table_args__ = ( db.PrimaryKeyConstraint("id", name="message_feedback_pkey"), @@ -1136,7 +1217,7 @@ def from_account(self): return account -class MessageFile(db.Model): # type: ignore[name-defined] +class MessageFile(Base): __tablename__ = "message_files" __table_args__ = ( db.PrimaryKeyConstraint("id", name="message_file_pkey"), @@ -1177,7 +1258,7 @@ def __init__( created_at: Mapped[datetime] = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class MessageAnnotation(db.Model): # type: ignore[name-defined] +class MessageAnnotation(Base): __tablename__ = "message_annotations" __table_args__ = ( db.PrimaryKeyConstraint("id", name="message_annotation_pkey"), @@ -1208,7 +1289,7 @@ def annotation_create_account(self): return account -class AppAnnotationHitHistory(db.Model): # type: ignore[name-defined] +class AppAnnotationHitHistory(Base): __tablename__ = "app_annotation_hit_histories" __table_args__ = ( db.PrimaryKeyConstraint("id", name="app_annotation_hit_histories_pkey"), @@ -1246,7 +1327,7 @@ def annotation_create_account(self): return account -class AppAnnotationSetting(db.Model): # type: ignore[name-defined] +class AppAnnotationSetting(Base): __tablename__ = "app_annotation_settings" __table_args__ = ( db.PrimaryKeyConstraint("id", name="app_annotation_settings_pkey"), @@ -1294,7 +1375,7 @@ def collection_binding_detail(self): return collection_binding_detail -class OperationLog(db.Model): # type: ignore[name-defined] +class OperationLog(Base): __tablename__ = "operation_logs" __table_args__ = ( db.PrimaryKeyConstraint("id", name="operation_log_pkey"), @@ -1311,7 +1392,7 @@ class OperationLog(db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class EndUser(UserMixin, db.Model): # type: ignore[name-defined] +class EndUser(Base, UserMixin): __tablename__ = "end_users" __table_args__ = ( db.PrimaryKeyConstraint("id", name="end_user_pkey"), @@ -1331,7 +1412,7 @@ class EndUser(UserMixin, db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class Site(db.Model): # type: ignore[name-defined] +class Site(Base): __tablename__ = "sites" __table_args__ = ( db.PrimaryKeyConstraint("id", name="site_pkey"), @@ -1388,7 +1469,7 @@ def app_base_url(self): return dify_config.APP_WEB_URL or request.url_root.rstrip("/") -class ApiToken(db.Model): # type: ignore[name-defined] +class ApiToken(Base): __tablename__ = "api_tokens" __table_args__ = ( db.PrimaryKeyConstraint("id", name="api_token_pkey"), @@ -1414,7 +1495,7 @@ def generate_api_key(prefix, n): return result -class UploadFile(db.Model): # type: ignore[name-defined] +class UploadFile(Base): __tablename__ = "upload_files" __table_args__ = ( db.PrimaryKeyConstraint("id", name="upload_file_pkey"), @@ -1476,7 +1557,7 @@ def __init__( self.source_url = source_url -class ApiRequest(db.Model): # type: ignore[name-defined] +class ApiRequest(Base): __tablename__ = "api_requests" __table_args__ = ( db.PrimaryKeyConstraint("id", name="api_request_pkey"), @@ -1493,7 +1574,7 @@ class ApiRequest(db.Model): # type: ignore[name-defined] created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class MessageChain(db.Model): # type: ignore[name-defined] +class MessageChain(Base): __tablename__ = "message_chains" __table_args__ = ( db.PrimaryKeyConstraint("id", name="message_chain_pkey"), @@ -1508,7 +1589,7 @@ class MessageChain(db.Model): # type: ignore[name-defined] created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.current_timestamp()) -class MessageAgentThought(db.Model): # type: ignore[name-defined] +class MessageAgentThought(Base): __tablename__ = "message_agent_thoughts" __table_args__ = ( db.PrimaryKeyConstraint("id", name="message_agent_thought_pkey"), @@ -1563,7 +1644,7 @@ def tool_labels(self) -> dict: return cast(dict, json.loads(self.tool_labels_str)) else: return {} - except Exception as e: + except Exception: return {} @property @@ -1573,7 +1654,7 @@ def tool_meta(self) -> dict: return cast(dict, json.loads(self.tool_meta_str)) else: return {} - except Exception as e: + except Exception: return {} @property @@ -1594,11 +1675,11 @@ def tool_inputs_dict(self) -> dict: return result else: return {tool: {} for tool in tools} - except Exception as e: + except Exception: return {} @property - def tool_outputs_dict(self) -> dict: + def tool_outputs_dict(self): tools = self.tools try: if self.observation: @@ -1615,14 +1696,14 @@ def tool_outputs_dict(self) -> dict: return result else: return {tool: {} for tool in tools} - except Exception as e: + except Exception: if self.observation: return dict.fromkeys(tools, self.observation) else: return {} -class DatasetRetrieverResource(db.Model): # type: ignore[name-defined] +class DatasetRetrieverResource(Base): __tablename__ = "dataset_retriever_resources" __table_args__ = ( db.PrimaryKeyConstraint("id", name="dataset_retriever_resource_pkey"), @@ -1649,7 +1730,7 @@ class DatasetRetrieverResource(db.Model): # type: ignore[name-defined] created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.current_timestamp()) -class Tag(db.Model): # type: ignore[name-defined] +class Tag(Base): __tablename__ = "tags" __table_args__ = ( db.PrimaryKeyConstraint("id", name="tag_pkey"), @@ -1667,7 +1748,7 @@ class Tag(db.Model): # type: ignore[name-defined] created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class TagBinding(db.Model): # type: ignore[name-defined] +class TagBinding(Base): __tablename__ = "tag_bindings" __table_args__ = ( db.PrimaryKeyConstraint("id", name="tag_binding_pkey"), @@ -1683,7 +1764,7 @@ class TagBinding(db.Model): # type: ignore[name-defined] created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class TraceAppConfig(db.Model): # type: ignore[name-defined] +class TraceAppConfig(Base): __tablename__ = "trace_app_config" __table_args__ = ( db.PrimaryKeyConstraint("id", name="tracing_app_config_pkey"), diff --git a/api/models/provider.py b/api/models/provider.py index abe673975c1ccc..567400702d9822 100644 --- a/api/models/provider.py +++ b/api/models/provider.py @@ -2,6 +2,8 @@ from sqlalchemy import func +from models.base import Base + from .engine import db from .types import StringUUID @@ -36,7 +38,7 @@ def value_of(value): raise ValueError(f"No matching enum found for value '{value}'") -class Provider(db.Model): # type: ignore[name-defined] +class Provider(Base): """ Provider model representing the API providers and their configurations. """ @@ -89,7 +91,7 @@ def is_enabled(self): return self.is_valid and self.token_is_set -class ProviderModel(db.Model): # type: ignore[name-defined] +class ProviderModel(Base): """ Provider model representing the API provider_models and their configurations. """ @@ -114,7 +116,7 @@ class ProviderModel(db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class TenantDefaultModel(db.Model): # type: ignore[name-defined] +class TenantDefaultModel(Base): __tablename__ = "tenant_default_models" __table_args__ = ( db.PrimaryKeyConstraint("id", name="tenant_default_model_pkey"), @@ -130,7 +132,7 @@ class TenantDefaultModel(db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class TenantPreferredModelProvider(db.Model): # type: ignore[name-defined] +class TenantPreferredModelProvider(Base): __tablename__ = "tenant_preferred_model_providers" __table_args__ = ( db.PrimaryKeyConstraint("id", name="tenant_preferred_model_provider_pkey"), @@ -145,7 +147,7 @@ class TenantPreferredModelProvider(db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class ProviderOrder(db.Model): # type: ignore[name-defined] +class ProviderOrder(Base): __tablename__ = "provider_orders" __table_args__ = ( db.PrimaryKeyConstraint("id", name="provider_order_pkey"), @@ -170,7 +172,7 @@ class ProviderOrder(db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class ProviderModelSetting(db.Model): # type: ignore[name-defined] +class ProviderModelSetting(Base): """ Provider model settings for record the model enabled status and load balancing status. """ @@ -192,7 +194,7 @@ class ProviderModelSetting(db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class LoadBalancingModelConfig(db.Model): # type: ignore[name-defined] +class LoadBalancingModelConfig(Base): """ Configurations for load balancing models. """ diff --git a/api/models/source.py b/api/models/source.py index 881cfaac7d3998..b9d7d913468856 100644 --- a/api/models/source.py +++ b/api/models/source.py @@ -3,6 +3,8 @@ from sqlalchemy import func from sqlalchemy.dialects.postgresql import JSONB +from models.base import Base + from .engine import db from .types import StringUUID @@ -25,7 +27,7 @@ class DataSourceOauthBinding(db.Model): # type: ignore[name-defined] disabled = db.Column(db.Boolean, nullable=True, server_default=db.text("false")) -class DataSourceApiKeyAuthBinding(db.Model): # type: ignore[name-defined] +class DataSourceApiKeyAuthBinding(Base): __tablename__ = "data_source_api_key_auth_bindings" __table_args__ = ( db.PrimaryKeyConstraint("id", name="data_source_api_key_auth_binding_pkey"), diff --git a/api/models/task.py b/api/models/task.py index 0db1c632299fcb..d853c1dd9a0e83 100644 --- a/api/models/task.py +++ b/api/models/task.py @@ -2,10 +2,12 @@ from celery import states # type: ignore +from models.base import Base + from .engine import db -class CeleryTask(db.Model): # type: ignore[name-defined] +class CeleryTask(Base): """Task result/status.""" __tablename__ = "celery_taskmeta" @@ -29,7 +31,7 @@ class CeleryTask(db.Model): # type: ignore[name-defined] queue = db.Column(db.String(155), nullable=True) -class CeleryTaskSet(db.Model): # type: ignore[name-defined] +class CeleryTaskSet(Base): """TaskSet result.""" __tablename__ = "celery_tasksetmeta" diff --git a/api/models/tools.py b/api/models/tools.py index 13a112ee83b513..b1e321ed857fb6 100644 --- a/api/models/tools.py +++ b/api/models/tools.py @@ -1,20 +1,23 @@ import json -from typing import Any, Optional +from datetime import datetime +from typing import Any, Optional, cast import sqlalchemy as sa +from deprecated import deprecated from sqlalchemy import ForeignKey, func from sqlalchemy.orm import Mapped, mapped_column from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_bundle import ApiToolBundle from core.tools.entities.tool_entities import ApiProviderSchemaType, WorkflowToolParameterConfiguration +from models.base import Base from .engine import db from .model import Account, App, Tenant from .types import StringUUID -class BuiltinToolProvider(db.Model): # type: ignore[name-defined] +class BuiltinToolProvider(Base): """ This table stores the tool provider information for built-in tools for each tenant. """ @@ -27,66 +30,28 @@ class BuiltinToolProvider(db.Model): # type: ignore[name-defined] ) # id of the tool provider - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) + id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) # id of the tenant - tenant_id = db.Column(StringUUID, nullable=True) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=True) # who created this tool provider - user_id = db.Column(StringUUID, nullable=False) + user_id: Mapped[str] = mapped_column(StringUUID, nullable=False) # name of the tool provider - provider = db.Column(db.String(40), nullable=False) + provider: Mapped[str] = mapped_column(db.String(256), nullable=False) # credential of the tool provider - encrypted_credentials = db.Column(db.Text, nullable=True) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - - @property - def credentials(self) -> dict: - return dict(json.loads(self.encrypted_credentials)) - - -class PublishedAppTool(db.Model): # type: ignore[name-defined] - """ - The table stores the apps published as a tool for each person. - """ - - __tablename__ = "tool_published_apps" - __table_args__ = ( - db.PrimaryKeyConstraint("id", name="published_app_tool_pkey"), - db.UniqueConstraint("app_id", "user_id", name="unique_published_app_tool"), + encrypted_credentials: Mapped[str] = mapped_column(db.Text, nullable=True) + created_at: Mapped[datetime] = mapped_column( + db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)") + ) + updated_at: Mapped[datetime] = mapped_column( + db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)") ) - - # id of the tool provider - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) - # id of the app - app_id = db.Column(StringUUID, ForeignKey("apps.id"), nullable=False) - # who published this tool - user_id = db.Column(StringUUID, nullable=False) - # description of the tool, stored in i18n format, for human - description = db.Column(db.Text, nullable=False) - # llm_description of the tool, for LLM - llm_description = db.Column(db.Text, nullable=False) - # query description, query will be seem as a parameter of the tool, - # to describe this parameter to llm, we need this field - query_description = db.Column(db.Text, nullable=False) - # query name, the name of the query parameter - query_name = db.Column(db.String(40), nullable=False) - # name of the tool provider - tool_name = db.Column(db.String(40), nullable=False) - # author - author = db.Column(db.String(40), nullable=False) - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - - @property - def description_i18n(self) -> I18nObject: - return I18nObject(**json.loads(self.description)) @property - def app(self): - return db.session.query(App).filter(App.id == self.app_id).first() + def credentials(self) -> dict: + return cast(dict, json.loads(self.encrypted_credentials)) -class ApiToolProvider(db.Model): # type: ignore[name-defined] +class ApiToolProvider(Base): """ The table stores the api providers. """ @@ -120,8 +85,8 @@ class ApiToolProvider(db.Model): # type: ignore[name-defined] # custom_disclaimer custom_disclaimer: Mapped[str] = mapped_column(sa.TEXT, default="") - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + created_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) @property def schema_type(self) -> ApiProviderSchemaType: @@ -144,7 +109,7 @@ def tenant(self) -> Tenant | None: return db.session.query(Tenant).filter(Tenant.id == self.tenant_id).first() -class ToolLabelBinding(db.Model): # type: ignore[name-defined] +class ToolLabelBinding(Base): """ The table stores the labels for tools. """ @@ -155,16 +120,16 @@ class ToolLabelBinding(db.Model): # type: ignore[name-defined] db.UniqueConstraint("tool_id", "label_name", name="unique_tool_label_bind"), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) + id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) # tool id - tool_id = db.Column(db.String(64), nullable=False) + tool_id: Mapped[str] = mapped_column(db.String(64), nullable=False) # tool type - tool_type = db.Column(db.String(40), nullable=False) + tool_type: Mapped[str] = mapped_column(db.String(40), nullable=False) # label name - label_name = db.Column(db.String(40), nullable=False) + label_name: Mapped[str] = mapped_column(db.String(40), nullable=False) -class WorkflowToolProvider(db.Model): # type: ignore[name-defined] +class WorkflowToolProvider(Base): """ The table stores the workflow providers. """ @@ -176,30 +141,38 @@ class WorkflowToolProvider(db.Model): # type: ignore[name-defined] db.UniqueConstraint("tenant_id", "app_id", name="unique_workflow_tool_provider_app_id"), ) - id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) + id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) # name of the workflow provider - name = db.Column(db.String(40), nullable=False) + name: Mapped[str] = mapped_column(db.String(40), nullable=False) # label of the workflow provider - label = db.Column(db.String(255), nullable=False, server_default="") + label: Mapped[str] = mapped_column(db.String(255), nullable=False, server_default="") # icon - icon = db.Column(db.String(255), nullable=False) + icon: Mapped[str] = mapped_column(db.String(255), nullable=False) # app id of the workflow provider - app_id = db.Column(StringUUID, nullable=False) + app_id: Mapped[str] = mapped_column(StringUUID, nullable=False) # version of the workflow provider - version = db.Column(db.String(255), nullable=False, server_default="") + version: Mapped[str] = mapped_column(db.String(255), nullable=False, server_default="") # who created this tool - user_id = db.Column(StringUUID, nullable=False) + user_id: Mapped[str] = mapped_column(StringUUID, nullable=False) # tenant id - tenant_id = db.Column(StringUUID, nullable=False) + tenant_id: Mapped[str] = mapped_column(StringUUID, nullable=False) # description of the provider - description = db.Column(db.Text, nullable=False) + description: Mapped[str] = mapped_column(db.Text, nullable=False) # parameter configuration - parameter_configuration = db.Column(db.Text, nullable=False, server_default="[]") + parameter_configuration: Mapped[str] = mapped_column(db.Text, nullable=False, server_default="[]") # privacy policy - privacy_policy = db.Column(db.String(255), nullable=True, server_default="") + privacy_policy: Mapped[str] = mapped_column(db.String(255), nullable=True, server_default="") - created_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) - updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + created_at: Mapped[datetime] = mapped_column( + db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)") + ) + updated_at: Mapped[datetime] = mapped_column( + db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)") + ) + + @property + def schema_type(self) -> ApiProviderSchemaType: + return ApiProviderSchemaType.value_of(self.schema_type_str) @property def user(self) -> Account | None: @@ -218,7 +191,7 @@ def app(self) -> App | None: return db.session.query(App).filter(App.id == self.app_id).first() -class ToolModelInvoke(db.Model): # type: ignore[name-defined] +class ToolModelInvoke(Base): """ store the invoke logs from tool invoke """ @@ -255,7 +228,8 @@ class ToolModelInvoke(db.Model): # type: ignore[name-defined] updated_at = db.Column(db.DateTime, nullable=False, server_default=func.current_timestamp()) -class ToolConversationVariables(db.Model): # type: ignore[name-defined] +@deprecated +class ToolConversationVariables(Base): """ store the conversation variables from tool invoke """ @@ -286,13 +260,70 @@ def variables(self) -> Any: return json.loads(self.variables_str) -class ToolFile(db.Model): # type: ignore[name-defined] +class ToolFile(Base): + """ + store the file created by agent + """ + __tablename__ = "tool_files" __table_args__ = ( db.PrimaryKeyConstraint("id", name="tool_file_pkey"), db.Index("tool_file_conversation_id_idx", "conversation_id"), ) + id: Mapped[str] = mapped_column(StringUUID, server_default=db.text("uuid_generate_v4()")) + # conversation user id + user_id: Mapped[str] = mapped_column(StringUUID) + # tenant id + tenant_id: Mapped[str] = mapped_column(StringUUID) + # conversation id + conversation_id: Mapped[str] = mapped_column(StringUUID, nullable=True) + # file key + file_key: Mapped[str] = mapped_column(db.String(255), nullable=False) + # mime type + mimetype: Mapped[str] = mapped_column(db.String(255), nullable=False) + # original url + original_url: Mapped[str] = mapped_column(db.String(2048), nullable=True) + # name + name: Mapped[str] = mapped_column(default="") + # size + size: Mapped[int] = mapped_column(default=-1) + + +@deprecated +class DeprecatedPublishedAppTool(Base): + """ + The table stores the apps published as a tool for each person. + """ + + __tablename__ = "tool_published_apps" + __table_args__ = ( + db.PrimaryKeyConstraint("id", name="published_app_tool_pkey"), + db.UniqueConstraint("app_id", "user_id", name="unique_published_app_tool"), + ) + + # id of the app + app_id = db.Column(StringUUID, ForeignKey("apps.id"), nullable=False) + # who published this tool + description = db.Column(db.Text, nullable=False) + # llm_description of the tool, for LLM + llm_description = db.Column(db.Text, nullable=False) + # query description, query will be seem as a parameter of the tool, + # to describe this parameter to llm, we need this field + query_description = db.Column(db.Text, nullable=False) + # query name, the name of the query parameter + query_name = db.Column(db.String(40), nullable=False) + # name of the tool provider + tool_name = db.Column(db.String(40), nullable=False) + # author + author = db.Column(db.String(40), nullable=False) + created_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) + updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text("CURRENT_TIMESTAMP(0)")) + + @property + def description_i18n(self) -> I18nObject: + return I18nObject(**json.loads(self.description)) + id = db.Column(StringUUID, server_default=db.text("uuid_generate_v4()")) user_id: Mapped[str] = db.Column(StringUUID, nullable=False) tenant_id: Mapped[str] = db.Column(StringUUID, nullable=False) diff --git a/api/models/web.py b/api/models/web.py index 864428fe0931b6..fe2f0c47f8c9a6 100644 --- a/api/models/web.py +++ b/api/models/web.py @@ -1,12 +1,14 @@ from sqlalchemy import func from sqlalchemy.orm import Mapped, mapped_column +from models.base import Base + from .engine import db from .model import Message from .types import StringUUID -class SavedMessage(db.Model): # type: ignore[name-defined] +class SavedMessage(Base): __tablename__ = "saved_messages" __table_args__ = ( db.PrimaryKeyConstraint("id", name="saved_message_pkey"), @@ -25,7 +27,7 @@ def message(self): return db.session.query(Message).filter(Message.id == self.message_id).first() -class PinnedConversation(db.Model): # type: ignore[name-defined] +class PinnedConversation(Base): __tablename__ = "pinned_conversations" __table_args__ = ( db.PrimaryKeyConstraint("id", name="pinned_conversation_pkey"), diff --git a/api/models/workflow.py b/api/models/workflow.py index e1776ce887340b..5af2590e50c1d3 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -1,11 +1,16 @@ import json from collections.abc import Mapping, Sequence from datetime import UTC, datetime -from enum import Enum, StrEnum +from enum import Enum from typing import TYPE_CHECKING, Any, Optional, Union +if TYPE_CHECKING: + from models.model import AppMode +from enum import StrEnum +from typing import TYPE_CHECKING + import sqlalchemy as sa -from sqlalchemy import func +from sqlalchemy import Index, PrimaryKeyConstraint, func from sqlalchemy.orm import Mapped, mapped_column import contexts @@ -14,6 +19,7 @@ from core.variables import SecretVariable, Variable from factories import variable_factory from libs import helper +from models.base import Base from models.enums import CreatedByRole from .account import Account @@ -21,7 +27,7 @@ from .types import StringUUID if TYPE_CHECKING: - from models.model import AppMode, Message + from models.model import AppMode class WorkflowType(Enum): @@ -59,7 +65,7 @@ def from_app_mode(cls, app_mode: Union[str, "AppMode"]) -> "WorkflowType": return cls.WORKFLOW if app_mode == AppMode.WORKFLOW else cls.CHAT -class Workflow(db.Model): # type: ignore[name-defined] +class Workflow(Base): """ Workflow, for `Workflow App` and `Chat App workflow mode`. @@ -249,11 +255,13 @@ def environment_variables(self) -> Sequence[Variable]: ] # decrypt secret variables value - decrypt_func = ( - lambda var: var.model_copy(update={"value": encrypter.decrypt_token(tenant_id=tenant_id, token=var.value)}) - if isinstance(var, SecretVariable) - else var - ) + def decrypt_func(var): + return ( + var.model_copy(update={"value": encrypter.decrypt_token(tenant_id=tenant_id, token=var.value)}) + if isinstance(var, SecretVariable) + else var + ) + results = list(map(decrypt_func, results)) return results @@ -277,11 +285,13 @@ def environment_variables(self, value: Sequence[Variable]): value[i] = origin_variables_dictionary[variable.id].model_copy(update={"name": variable.name}) # encrypt secret variables value - encrypt_func = ( - lambda var: var.model_copy(update={"value": encrypter.encrypt_token(tenant_id=tenant_id, token=var.value)}) - if isinstance(var, SecretVariable) - else var - ) + def encrypt_func(var): + return ( + var.model_copy(update={"value": encrypter.encrypt_token(tenant_id=tenant_id, token=var.value)}) + if isinstance(var, SecretVariable) + else var + ) + encrypted_vars = list(map(encrypt_func, value)) environment_variables_json = json.dumps( {var.name: var.model_dump() for var in encrypted_vars}, @@ -347,7 +357,7 @@ def value_of(cls, value: str) -> "WorkflowRunStatus": raise ValueError(f"invalid workflow run status value {value}") -class WorkflowRun(db.Model): # type: ignore[name-defined] +class WorkflowRun(Base): """ Workflow Run @@ -439,7 +449,7 @@ def outputs_dict(self) -> Mapping[str, Any]: return json.loads(self.outputs) if self.outputs else {} @property - def message(self) -> Optional["Message"]: + def message(self): from models.model import Message return ( @@ -549,7 +559,7 @@ def value_of(cls, value: str) -> "WorkflowNodeExecutionStatus": raise ValueError(f"invalid workflow node execution status value {value}") -class WorkflowNodeExecution(db.Model): # type: ignore[name-defined] +class WorkflowNodeExecution(Base): """ Workflow Node Execution @@ -715,7 +725,7 @@ def value_of(cls, value: str) -> "WorkflowAppLogCreatedFrom": raise ValueError(f"invalid workflow app log created from value {value}") -class WorkflowAppLog(db.Model): # type: ignore[name-defined] +class WorkflowAppLog(Base): """ Workflow App execution log, excluding workflow debugging records. @@ -777,15 +787,20 @@ def created_by_end_user(self): return db.session.get(EndUser, self.created_by) if created_by_role == CreatedByRole.END_USER else None -class ConversationVariable(db.Model): # type: ignore[name-defined] +class ConversationVariable(Base): __tablename__ = "workflow_conversation_variables" + __table_args__ = ( + PrimaryKeyConstraint("id", "conversation_id", name="workflow_conversation_variables_pkey"), + Index("workflow__conversation_variables_app_id_idx", "app_id"), + Index("workflow__conversation_variables_created_at_idx", "created_at"), + ) - id: Mapped[str] = db.Column(StringUUID, primary_key=True) - conversation_id: Mapped[str] = db.Column(StringUUID, nullable=False, primary_key=True) - app_id: Mapped[str] = db.Column(StringUUID, nullable=False, index=True) - data = db.Column(db.Text, nullable=False) - created_at = db.Column(db.DateTime, nullable=False, index=True, server_default=func.current_timestamp()) - updated_at = db.Column( + id: Mapped[str] = mapped_column(StringUUID, primary_key=True) + conversation_id: Mapped[str] = mapped_column(StringUUID, nullable=False, primary_key=True) + app_id: Mapped[str] = mapped_column(StringUUID, nullable=False) + data = mapped_column(db.Text, nullable=False) + created_at = mapped_column(db.DateTime, nullable=False, server_default=func.current_timestamp()) + updated_at = mapped_column( db.DateTime, nullable=False, 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python-versions = ">=3.7" -groups = ["main", "storage", "tools", "vdb"] +groups = ["main", "storage", "vdb"] markers = "python_version == \"3.11\" or python_version >= \"3.12\"" files = [ {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"}, @@ -4083,20 +3258,20 @@ files = [ [[package]] name = "h2" -version = "4.1.0" -description = "HTTP/2 State-Machine based protocol implementation" +version = "4.2.0" +description = "Pure-Python HTTP/2 protocol implementation" optional = false -python-versions = ">=3.6.1" +python-versions = ">=3.9" groups = ["storage", "vdb"] markers = "python_version == \"3.11\" or python_version >= \"3.12\"" files = [ - {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"}, - {file = "h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb"}, + {file = "h2-4.2.0-py3-none-any.whl", hash = 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Finance API" -optional = false -python-versions = "*" -groups = ["tools"] -markers = "python_version == \"3.11\" or python_version >= \"3.12\"" -files = [ - {file = "yfinance-0.2.51-py2.py3-none-any.whl", hash = "sha256:d5cc7a970bb4bb43e4deee853514cbaa3c2b070a0dee6b2861c1ab5076f21dc1"}, - {file = "yfinance-0.2.51.tar.gz", hash = "sha256:7902cc9b23699a51efa50f1cc7a965220a56beccc00d189f929b4c7c5c189a60"}, -] - -[package.dependencies] -beautifulsoup4 = ">=4.11.1" -frozendict = ">=2.3.4" -html5lib = ">=1.1" -lxml = ">=4.9.1" -multitasking = ">=0.0.7" -numpy = ">=1.16.5" -pandas = ">=1.3.0" -peewee = ">=3.16.2" -platformdirs = ">=2.0.0" -pytz = ">=2022.5" -requests = ">=2.31" - -[package.extras] -nospam = ["requests_cache (>=1.0)", "requests_ratelimiter (>=0.3.1)"] -repair = ["scipy (>=1.6.3)"] - -[[package]] -name = "youtube-transcript-api" -version = "0.6.3" -description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. 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">=3.11,<3.13" -content-hash = "d197cdff507a70323c1d6aca11609188f54970f67715af744fe6def15b7776fd" +content-hash = "7bb979b6667b099ad0ba75a9cad287409c6d7739b595c05197581ad1c0d702ce" diff --git a/api/pyproject.toml b/api/pyproject.toml index 72ec6d287e87bf..937f5940ad55a1 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -15,10 +15,7 @@ package-mode = false ############################################################ [tool.poetry.dependencies] -anthropic = "~0.23.1" authlib = "1.3.1" -azure-ai-inference = "~1.0.0b8" -azure-ai-ml = "~1.20.0" azure-identity = "1.16.1" beautifulsoup4 = "4.12.2" boto3 = "1.36.12" @@ -26,9 +23,6 @@ bs4 = "~0.0.1" cachetools = "~5.3.0" celery = "~5.4.0" chardet = "~5.1.0" -cohere = "~5.2.4" -dashscope = { version = "~1.17.0", extras = ["tokenizer"] } -fal-client = "0.5.6" flask = "~3.1.0" flask-compress = "~1.17" flask-cors = "~4.0.0" @@ -38,24 +32,19 @@ flask-restful = "~0.3.10" flask-sqlalchemy = "~3.1.1" gevent = "~24.11.1" gmpy2 = "~2.2.1" -google-ai-generativelanguage = "0.6.9" google-api-core = "2.18.0" google-api-python-client = "2.90.0" google-auth = "2.29.0" google-auth-httplib2 = "0.2.0" google-cloud-aiplatform = "1.49.0" -google-generativeai = "0.8.1" googleapis-common-protos = "1.63.0" gunicorn = "~23.0.0" httpx = { version = "~0.27.0", extras = ["socks"] } -huggingface-hub = "~0.16.4" jieba = "0.42.1" langfuse = "~2.51.3" langsmith = "~0.1.77" mailchimp-transactional = "~1.0.50" markdown = "~3.5.1" -nomic = "~3.1.2" -novita-client = "~0.5.7" numpy = "~1.26.4" oci = "~2.135.1" openai = "~1.61.0" @@ -77,25 +66,16 @@ python-dotenv = "1.0.1" pyyaml = "~6.0.1" readabilipy = "0.2.0" redis = { version = "~5.0.3", extras = ["hiredis"] } -replicate = "~0.22.0" resend = "~0.7.0" -sagemaker = "~2.231.0" -scikit-learn = "~1.5.1" sentry-sdk = { version = "~1.44.1", extras = ["flask"] } sqlalchemy = "~2.0.29" starlette = "0.41.0" -tencentcloud-sdk-python-hunyuan = "~3.0.1294" tiktoken = "~0.8.0" tokenizers = "~0.15.0" transformers = "~4.35.0" unstructured = { version = "~0.16.1", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] } validators = "0.21.0" -volcengine-python-sdk = {extras = ["ark"], version = "~1.0.98"} -websocket-client = "~1.7.0" -xinference-client = "0.15.2" yarl = "~1.18.3" -youtube-transcript-api = "~0.6.2" -zhipuai = "~2.1.5" # Before adding new dependency, consider place it in alphabet order (a-z) and suitable group. ############################################################ @@ -112,21 +92,8 @@ safetensors = "~0.4.3" # [ Tools ] dependency group ############################################################ [tool.poetry.group.tools.dependencies] -arxiv = "2.1.0" cloudscraper = "1.2.71" -duckduckgo-search = "~6.3.0" -jsonpath-ng = "1.6.1" -matplotlib = "~3.8.2" -mplfonts = "~0.0.8" -newspaper3k = "0.2.8" nltk = "3.9.1" -numexpr = "~2.9.0" -pydub = "~0.25.1" -qrcode = "~7.4.2" -twilio = "~9.0.4" -vanna = { version = "0.7.5", extras = ["postgres", "mysql", "clickhouse", "duckdb", "oracle"] } -wikipedia = "1.4.0" -yfinance = "~0.2.40" ############################################################ # [ Storage ] dependency group diff --git a/api/pytest.ini b/api/pytest.ini index 993da4c9a78935..5e4636fa9317a7 100644 --- a/api/pytest.ini +++ b/api/pytest.ini @@ -7,6 +7,12 @@ env = CODE_EXECUTION_API_KEY = dify-sandbox CODE_EXECUTION_ENDPOINT = http://127.0.0.1:8194 CODE_MAX_STRING_LENGTH = 80000 + PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi + PLUGIN_DAEMON_URL=http://127.0.0.1:5002 + PLUGIN_MAX_PACKAGE_SIZE=15728640 + INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 + MARKETPLACE_ENABLED=true + MARKETPLACE_API_URL=https://marketplace.dify.ai FIRECRAWL_API_KEY = fc- FIREWORKS_API_KEY = fw_aaaaaaaaaaaaaaaaaaaa GOOGLE_API_KEY = abcdefghijklmnopqrstuvwxyz diff --git a/api/services/account_service.py b/api/services/account_service.py index 5388e1878ed842..29237502989f4e 100644 --- a/api/services/account_service.py +++ b/api/services/account_service.py @@ -10,6 +10,7 @@ from pydantic import BaseModel from sqlalchemy import func +from sqlalchemy.orm import Session from werkzeug.exceptions import Unauthorized from configs import dify_config @@ -101,7 +102,7 @@ def _delete_refresh_token(refresh_token: str, account_id: str) -> None: @staticmethod def load_user(user_id: str) -> None | Account: - account = Account.query.filter_by(id=user_id).first() + account = db.session.query(Account).filter_by(id=user_id).first() if not account: return None @@ -146,7 +147,7 @@ def get_account_jwt_token(account: Account) -> str: def authenticate(email: str, password: str, invite_token: Optional[str] = None) -> Account: """authenticate account with email and password""" - account = Account.query.filter_by(email=email).first() + account = db.session.query(Account).filter_by(email=email).first() if not account: raise AccountNotFoundError() @@ -924,11 +925,14 @@ def register( @classmethod def invite_new_member( - cls, tenant: Tenant, email: str, language: str, role: str = "normal", inviter: Optional[Account] = None + cls, tenant: Tenant, email: str, language: str, role: str = "normal", inviter: Account | None = None ) -> str: + if not inviter: + raise ValueError("Inviter is required") + """Invite new member""" - account = Account.query.filter_by(email=email).first() - assert inviter is not None, "Inviter must be provided." + with Session(db.engine) as session: + account = session.query(Account).filter_by(email=email).first() if not account: TenantService.check_member_permission(tenant, inviter, None, "add") diff --git a/api/services/agent_service.py b/api/services/agent_service.py index b02f762ad267b8..0ff144052fce73 100644 --- a/api/services/agent_service.py +++ b/api/services/agent_service.py @@ -1,9 +1,13 @@ +import threading from typing import Optional import pytz from flask_login import current_user # type: ignore +import contexts from core.app.app_config.easy_ui_based_app.agent.manager import AgentConfigManager +from core.plugin.manager.agent import PluginAgentManager +from core.plugin.manager.exc import PluginDaemonClientSideError from core.tools.tool_manager import ToolManager from extensions.ext_database import db from models.account import Account @@ -16,7 +20,10 @@ def get_agent_logs(cls, app_model: App, conversation_id: str, message_id: str) - """ Service to get agent logs """ - conversation: Optional[Conversation] = ( + contexts.plugin_tool_providers.set({}) + contexts.plugin_tool_providers_lock.set(threading.Lock()) + + conversation: Conversation | None = ( db.session.query(Conversation) .filter( Conversation.id == conversation_id, @@ -59,6 +66,10 @@ def get_agent_logs(cls, app_model: App, conversation_id: str, message_id: str) - timezone = pytz.timezone(current_user.timezone) + app_model_config = app_model.app_model_config + if not app_model_config: + raise ValueError("App model config not found") + result = { "meta": { "status": "success", @@ -66,16 +77,16 @@ def get_agent_logs(cls, app_model: App, conversation_id: str, message_id: str) - "start_time": message.created_at.astimezone(timezone).isoformat(), "elapsed_time": message.provider_response_latency, "total_tokens": message.answer_tokens + message.message_tokens, - "agent_mode": app_model.app_model_config.agent_mode_dict.get("strategy", "react"), + "agent_mode": app_model_config.agent_mode_dict.get("strategy", "react"), "iterations": len(agent_thoughts), }, "iterations": [], "files": message.message_files, } - agent_config = AgentConfigManager.convert(app_model.app_model_config.to_dict()) + agent_config = AgentConfigManager.convert(app_model_config.to_dict()) if not agent_config: - return result + raise ValueError("Agent config not found") agent_tools = agent_config.tools or [] @@ -89,7 +100,7 @@ def find_agent_tool(tool_name: str): tool_labels = agent_thought.tool_labels tool_meta = agent_thought.tool_meta tool_inputs = agent_thought.tool_inputs_dict - tool_outputs = agent_thought.tool_outputs_dict + tool_outputs = agent_thought.tool_outputs_dict or {} tool_calls = [] for tool in tools: tool_name = tool @@ -144,3 +155,22 @@ def find_agent_tool(tool_name: str): ) return result + + @classmethod + def list_agent_providers(cls, user_id: str, tenant_id: str): + """ + List agent providers + """ + manager = PluginAgentManager() + return manager.fetch_agent_strategy_providers(tenant_id) + + @classmethod + def get_agent_provider(cls, user_id: str, tenant_id: str, provider_name: str): + """ + Get agent provider + """ + manager = PluginAgentManager() + try: + return manager.fetch_agent_strategy_provider(tenant_id, provider_name) + except PluginDaemonClientSideError as e: + raise ValueError(str(e)) from e diff --git a/api/services/app_dsl_service.py b/api/services/app_dsl_service.py index 15119247f887f0..4ddb56981eb09f 100644 --- a/api/services/app_dsl_service.py +++ b/api/services/app_dsl_service.py @@ -1,5 +1,6 @@ import logging import uuid +from collections.abc import Mapping from enum import StrEnum from typing import Optional from urllib.parse import urlparse @@ -7,22 +8,34 @@ import yaml # type: ignore from packaging import version -from pydantic import BaseModel +from pydantic import BaseModel, Field from sqlalchemy import select from sqlalchemy.orm import Session from core.helper import ssrf_proxy +from core.model_runtime.utils.encoders import jsonable_encoder +from core.plugin.entities.plugin import PluginDependency +from core.workflow.nodes.enums import NodeType +from core.workflow.nodes.knowledge_retrieval.entities import KnowledgeRetrievalNodeData +from core.workflow.nodes.llm.entities import LLMNodeData +from core.workflow.nodes.parameter_extractor.entities import ParameterExtractorNodeData +from core.workflow.nodes.question_classifier.entities import QuestionClassifierNodeData +from core.workflow.nodes.tool.entities import ToolNodeData from events.app_event import app_model_config_was_updated, app_was_created from extensions.ext_redis import redis_client from factories import variable_factory from models import Account, App, AppMode from models.model import AppModelConfig +from models.workflow import Workflow +from services.plugin.dependencies_analysis import DependenciesAnalysisService from services.workflow_service import WorkflowService logger = logging.getLogger(__name__) IMPORT_INFO_REDIS_KEY_PREFIX = "app_import_info:" -IMPORT_INFO_REDIS_EXPIRY = 180 # 3 minutes +CHECK_DEPENDENCIES_REDIS_KEY_PREFIX = "app_check_dependencies:" +IMPORT_INFO_REDIS_EXPIRY = 10 * 60 # 10 minutes +DSL_MAX_SIZE = 10 * 1024 * 1024 # 10MB CURRENT_DSL_VERSION = "0.1.5" @@ -47,6 +60,10 @@ class Import(BaseModel): error: str = "" +class CheckDependenciesResult(BaseModel): + leaked_dependencies: list[PluginDependency] = Field(default_factory=list) + + def _check_version_compatibility(imported_version: str) -> ImportStatus: """Determine import status based on version comparison""" try: @@ -76,6 +93,11 @@ class PendingData(BaseModel): app_id: str | None +class CheckDependenciesPendingData(BaseModel): + dependencies: list[PluginDependency] + app_id: str | None + + class AppDslService: def __init__(self, session: Session): self._session = session @@ -113,7 +135,6 @@ def import_app( error="yaml_url is required when import_mode is yaml-url", ) try: - max_size = 10 * 1024 * 1024 # 10MB parsed_url = urlparse(yaml_url) if ( parsed_url.scheme == "https" @@ -126,7 +147,7 @@ def import_app( response.raise_for_status() content = response.content.decode() - if len(content) > max_size: + if len(content) > DSL_MAX_SIZE: return Import( id=import_id, status=ImportStatus.FAILED, @@ -208,7 +229,7 @@ def import_app( # If major version mismatch, store import info in Redis if status == ImportStatus.PENDING: - panding_data = PendingData( + pending_data = PendingData( import_mode=import_mode, yaml_content=content, name=name, @@ -221,7 +242,7 @@ def import_app( redis_client.setex( f"{IMPORT_INFO_REDIS_KEY_PREFIX}{import_id}", IMPORT_INFO_REDIS_EXPIRY, - panding_data.model_dump_json(), + pending_data.model_dump_json(), ) return Import( @@ -231,6 +252,22 @@ def import_app( imported_dsl_version=imported_version, ) + # Extract dependencies + dependencies = data.get("dependencies", []) + check_dependencies_pending_data = None + if dependencies: + check_dependencies_pending_data = [PluginDependency.model_validate(d) for d in dependencies] + elif imported_version <= "0.1.5": + if "workflow" in data: + graph = data.get("workflow", {}).get("graph", {}) + dependencies_list = self._extract_dependencies_from_workflow_graph(graph) + else: + dependencies_list = self._extract_dependencies_from_model_config(data.get("model_config", {})) + + check_dependencies_pending_data = DependenciesAnalysisService.generate_latest_dependencies( + dependencies_list + ) + # Create or update app app = self._create_or_update_app( app=app, @@ -241,6 +278,7 @@ def import_app( icon_type=icon_type, icon=icon, icon_background=icon_background, + dependencies=check_dependencies_pending_data, ) return Import( @@ -325,6 +363,29 @@ def confirm_import(self, *, import_id: str, account: Account) -> Import: error=str(e), ) + def check_dependencies( + self, + *, + app_model: App, + ) -> CheckDependenciesResult: + """Check dependencies""" + # Get dependencies from Redis + redis_key = f"{CHECK_DEPENDENCIES_REDIS_KEY_PREFIX}{app_model.id}" + dependencies = redis_client.get(redis_key) + if not dependencies: + return CheckDependenciesResult() + + # Extract dependencies + dependencies = CheckDependenciesPendingData.model_validate_json(dependencies) + + # Get leaked dependencies + leaked_dependencies = DependenciesAnalysisService.get_leaked_dependencies( + tenant_id=app_model.tenant_id, dependencies=dependencies.dependencies + ) + return CheckDependenciesResult( + leaked_dependencies=leaked_dependencies, + ) + def _create_or_update_app( self, *, @@ -336,6 +397,7 @@ def _create_or_update_app( icon_type: Optional[str] = None, icon: Optional[str] = None, icon_background: Optional[str] = None, + dependencies: Optional[list[PluginDependency]] = None, ) -> App: """Create a new app or update an existing one.""" app_data = data.get("app", {}) @@ -384,6 +446,14 @@ def _create_or_update_app( self._session.commit() app_was_created.send(app, account=account) + # save dependencies + if dependencies: + redis_client.setex( + f"{CHECK_DEPENDENCIES_REDIS_KEY_PREFIX}{app.id}", + IMPORT_INFO_REDIS_EXPIRY, + CheckDependenciesPendingData(app_id=app.id, dependencies=dependencies).model_dump_json(), + ) + # Initialize app based on mode if app_mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}: workflow_data = data.get("workflow") @@ -479,6 +549,13 @@ def _append_workflow_export_data(cls, *, export_data: dict, app_model: App, incl raise ValueError("Missing draft workflow configuration, please check.") export_data["workflow"] = workflow.to_dict(include_secret=include_secret) + dependencies = cls._extract_dependencies_from_workflow(workflow) + export_data["dependencies"] = [ + jsonable_encoder(d.model_dump()) + for d in DependenciesAnalysisService.generate_dependencies( + tenant_id=app_model.tenant_id, dependencies=dependencies + ) + ] @classmethod def _append_model_config_export_data(cls, export_data: dict, app_model: App) -> None: @@ -492,3 +569,154 @@ def _append_model_config_export_data(cls, export_data: dict, app_model: App) -> raise ValueError("Missing app configuration, please check.") export_data["model_config"] = app_model_config.to_dict() + dependencies = cls._extract_dependencies_from_model_config(app_model_config.to_dict()) + export_data["dependencies"] = [ + jsonable_encoder(d.model_dump()) + for d in DependenciesAnalysisService.generate_dependencies( + tenant_id=app_model.tenant_id, dependencies=dependencies + ) + ] + + @classmethod + def _extract_dependencies_from_workflow(cls, workflow: Workflow) -> list[str]: + """ + Extract dependencies from workflow + :param workflow: Workflow instance + :return: dependencies list format like ["langgenius/google"] + """ + graph = workflow.graph_dict + dependencies = cls._extract_dependencies_from_workflow_graph(graph) + return dependencies + + @classmethod + def _extract_dependencies_from_workflow_graph(cls, graph: Mapping) -> list[str]: + """ + Extract dependencies from workflow graph + :param graph: Workflow graph + :return: dependencies list format like ["langgenius/google"] + """ + dependencies = [] + for node in graph.get("nodes", []): + try: + typ = node.get("data", {}).get("type") + match typ: + case NodeType.TOOL.value: + tool_entity = ToolNodeData(**node["data"]) + dependencies.append( + DependenciesAnalysisService.analyze_tool_dependency(tool_entity.provider_id), + ) + case NodeType.LLM.value: + llm_entity = LLMNodeData(**node["data"]) + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency(llm_entity.model.provider), + ) + case NodeType.QUESTION_CLASSIFIER.value: + question_classifier_entity = QuestionClassifierNodeData(**node["data"]) + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency( + question_classifier_entity.model.provider + ), + ) + case NodeType.PARAMETER_EXTRACTOR.value: + parameter_extractor_entity = ParameterExtractorNodeData(**node["data"]) + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency( + parameter_extractor_entity.model.provider + ), + ) + case NodeType.KNOWLEDGE_RETRIEVAL.value: + knowledge_retrieval_entity = KnowledgeRetrievalNodeData(**node["data"]) + if knowledge_retrieval_entity.retrieval_mode == "multiple": + if knowledge_retrieval_entity.multiple_retrieval_config: + if ( + knowledge_retrieval_entity.multiple_retrieval_config.reranking_mode + == "reranking_model" + ): + if knowledge_retrieval_entity.multiple_retrieval_config.reranking_model: + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency( + knowledge_retrieval_entity.multiple_retrieval_config.reranking_model.provider + ), + ) + elif ( + knowledge_retrieval_entity.multiple_retrieval_config.reranking_mode + == "weighted_score" + ): + if knowledge_retrieval_entity.multiple_retrieval_config.weights: + vector_setting = ( + knowledge_retrieval_entity.multiple_retrieval_config.weights.vector_setting + ) + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency( + vector_setting.embedding_provider_name + ), + ) + elif knowledge_retrieval_entity.retrieval_mode == "single": + model_config = knowledge_retrieval_entity.single_retrieval_config + if model_config: + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency( + model_config.model.provider + ), + ) + case _: + # TODO: Handle default case or unknown node types + pass + except Exception as e: + logger.exception("Error extracting node dependency", exc_info=e) + + return dependencies + + @classmethod + def _extract_dependencies_from_model_config(cls, model_config: Mapping) -> list[str]: + """ + Extract dependencies from model config + :param model_config: model config dict + :return: dependencies list format like ["langgenius/google"] + """ + dependencies = [] + + try: + # completion model + model_dict = model_config.get("model", {}) + if model_dict: + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency(model_dict.get("provider", "")) + ) + + # reranking model + dataset_configs = model_config.get("dataset_configs", {}) + if dataset_configs: + for dataset_config in dataset_configs.get("datasets", {}).get("datasets", []): + if dataset_config.get("reranking_model"): + dependencies.append( + DependenciesAnalysisService.analyze_model_provider_dependency( + dataset_config.get("reranking_model", {}) + .get("reranking_provider_name", {}) + .get("provider") + ) + ) + + # tools + agent_configs = model_config.get("agent_mode", {}) + if agent_configs: + for agent_config in agent_configs.get("tools", []): + dependencies.append( + DependenciesAnalysisService.analyze_tool_dependency(agent_config.get("provider_id")) + ) + + except Exception as e: + logger.exception("Error extracting model config dependency", exc_info=e) + + return dependencies + + @classmethod + def get_leaked_dependencies(cls, tenant_id: str, dsl_dependencies: list[dict]) -> list[PluginDependency]: + """ + Returns the leaked dependencies in current workspace + """ + dependencies = [PluginDependency(**dep) for dep in dsl_dependencies] + if not dependencies: + return [] + + return DependenciesAnalysisService.get_leaked_dependencies(tenant_id=tenant_id, dependencies=dependencies) diff --git a/api/services/app_generate_service.py b/api/services/app_generate_service.py index 51aef7ccab9a0c..39b4afa252ab7d 100644 --- a/api/services/app_generate_service.py +++ b/api/services/app_generate_service.py @@ -43,66 +43,62 @@ def generate( request_id = rate_limit.enter(request_id) if app_model.mode == AppMode.COMPLETION.value: return rate_limit.generate( - generator=CompletionAppGenerator().generate( - app_model=app_model, - user=user, - args=args, - invoke_from=invoke_from, - streaming=streaming, + CompletionAppGenerator.convert_to_event_stream( + CompletionAppGenerator().generate( + app_model=app_model, user=user, args=args, invoke_from=invoke_from, streaming=streaming + ), ), request_id=request_id, ) elif app_model.mode == AppMode.AGENT_CHAT.value or app_model.is_agent: - generator = AgentChatAppGenerator().generate( - app_model=app_model, - user=user, - args=args, - invoke_from=invoke_from, - streaming=streaming, - ) return rate_limit.generate( - generator=generator, - request_id=request_id, + AgentChatAppGenerator.convert_to_event_stream( + AgentChatAppGenerator().generate( + app_model=app_model, user=user, args=args, invoke_from=invoke_from, streaming=streaming + ), + ), + request_id, ) elif app_model.mode == AppMode.CHAT.value: return rate_limit.generate( - generator=ChatAppGenerator().generate( - app_model=app_model, - user=user, - args=args, - invoke_from=invoke_from, - streaming=streaming, + ChatAppGenerator.convert_to_event_stream( + ChatAppGenerator().generate( + app_model=app_model, user=user, args=args, invoke_from=invoke_from, streaming=streaming + ), ), request_id=request_id, ) elif app_model.mode == AppMode.ADVANCED_CHAT.value: workflow = cls._get_workflow(app_model, invoke_from) return rate_limit.generate( - generator=AdvancedChatAppGenerator().generate( - app_model=app_model, - workflow=workflow, - user=user, - args=args, - invoke_from=invoke_from, - streaming=streaming, + AdvancedChatAppGenerator.convert_to_event_stream( + AdvancedChatAppGenerator().generate( + app_model=app_model, + workflow=workflow, + user=user, + args=args, + invoke_from=invoke_from, + streaming=streaming, + ), ), request_id=request_id, ) elif app_model.mode == AppMode.WORKFLOW.value: workflow = cls._get_workflow(app_model, invoke_from) - generator = WorkflowAppGenerator().generate( - app_model=app_model, - workflow=workflow, - user=user, - args=args, - invoke_from=invoke_from, - streaming=streaming, - call_depth=0, - workflow_thread_pool_id=None, - ) return rate_limit.generate( - generator=generator, - request_id=request_id, + WorkflowAppGenerator.convert_to_event_stream( + WorkflowAppGenerator().generate( + app_model=app_model, + workflow=workflow, + user=user, + args=args, + invoke_from=invoke_from, + streaming=streaming, + call_depth=0, + workflow_thread_pool_id=None, + ), + ), + request_id, ) else: raise ValueError(f"Invalid app mode {app_model.mode}") @@ -126,18 +122,17 @@ def _get_max_active_requests(app_model: App) -> int: def generate_single_iteration(cls, app_model: App, user: Account, node_id: str, args: Any, streaming: bool = True): if app_model.mode == AppMode.ADVANCED_CHAT.value: workflow = cls._get_workflow(app_model, InvokeFrom.DEBUGGER) - return AdvancedChatAppGenerator().single_iteration_generate( - app_model=app_model, - workflow=workflow, - node_id=node_id, - user=user, - args=args, - streaming=streaming, + return AdvancedChatAppGenerator.convert_to_event_stream( + AdvancedChatAppGenerator().single_iteration_generate( + app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, streaming=streaming + ) ) elif app_model.mode == AppMode.WORKFLOW.value: workflow = cls._get_workflow(app_model, InvokeFrom.DEBUGGER) - return WorkflowAppGenerator().single_iteration_generate( - app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, streaming=streaming + return AdvancedChatAppGenerator.convert_to_event_stream( + WorkflowAppGenerator().single_iteration_generate( + app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, streaming=streaming + ) ) else: raise ValueError(f"Invalid app mode {app_model.mode}") diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index 38025b5213aaa3..79961533b0afaa 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -9,9 +9,11 @@ from flask_login import current_user # type: ignore from sqlalchemy import func +from sqlalchemy.orm import Session from werkzeug.exceptions import NotFound from configs import dify_config +from core.entities import DEFAULT_PLUGIN_ID from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError from core.model_manager import ModelManager from core.model_runtime.entities.model_entities import ModelType @@ -268,7 +270,15 @@ def update_dataset(dataset_id, data, user): external_knowledge_api_id = data.get("external_knowledge_api_id", None) if not external_knowledge_api_id: raise ValueError("External knowledge api id is required.") - external_knowledge_binding = ExternalKnowledgeBindings.query.filter_by(dataset_id=dataset_id).first() + + with Session(db.engine) as session: + external_knowledge_binding = ( + session.query(ExternalKnowledgeBindings).filter_by(dataset_id=dataset_id).first() + ) + + if not external_knowledge_binding: + raise ValueError("External knowledge binding not found.") + if ( external_knowledge_binding.external_knowledge_id != external_knowledge_id or external_knowledge_binding.external_knowledge_api_id != external_knowledge_api_id @@ -316,8 +326,19 @@ def update_dataset(dataset_id, data, user): except ProviderTokenNotInitError as ex: raise ValueError(ex.description) else: + # add default plugin id to both setting sets, to make sure the plugin model provider is consistent + plugin_model_provider = dataset.embedding_model_provider + if "/" not in plugin_model_provider: + plugin_model_provider = f"{DEFAULT_PLUGIN_ID}/{plugin_model_provider}/{plugin_model_provider}" + + new_plugin_model_provider = data["embedding_model_provider"] + if "/" not in new_plugin_model_provider: + new_plugin_model_provider = ( + f"{DEFAULT_PLUGIN_ID}/{new_plugin_model_provider}/{new_plugin_model_provider}" + ) + if ( - data["embedding_model_provider"] != dataset.embedding_model_provider + new_plugin_model_provider != plugin_model_provider or data["embedding_model"] != dataset.embedding_model ): action = "update" @@ -1468,7 +1489,7 @@ def create_segment(cls, args: dict, document: Document, dataset: Dataset): model=dataset.embedding_model, ) # calc embedding use tokens - tokens = embedding_model.get_text_embedding_num_tokens(texts=[content]) + tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])[0] lock_name = "add_segment_lock_document_id_{}".format(document.id) with redis_client.lock(lock_name, timeout=600): max_position = ( @@ -1545,9 +1566,12 @@ def multi_create_segment(cls, segments: list, document: Document, dataset: Datas if dataset.indexing_technique == "high_quality" and embedding_model: # calc embedding use tokens if document.doc_form == "qa_model": - tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment_item["answer"]]) + tokens = embedding_model.get_text_embedding_num_tokens( + texts=[content + segment_item["answer"]] + )[0] else: - tokens = embedding_model.get_text_embedding_num_tokens(texts=[content]) + tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])[0] + segment_document = DocumentSegment( tenant_id=current_user.current_tenant_id, dataset_id=document.dataset_id, @@ -1695,9 +1719,9 @@ def update_segment(cls, args: SegmentUpdateArgs, segment: DocumentSegment, docum # calc embedding use tokens if document.doc_form == "qa_model": - tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment.answer]) + tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment.answer])[0] else: - tokens = embedding_model.get_text_embedding_num_tokens(texts=[content]) + tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])[0] segment.content = content segment.index_node_hash = segment_hash segment.word_count = len(content) diff --git a/api/services/entities/model_provider_entities.py b/api/services/entities/model_provider_entities.py index f1417c6cb94b80..bc385b2e22bba1 100644 --- a/api/services/entities/model_provider_entities.py +++ b/api/services/entities/model_provider_entities.py @@ -8,7 +8,7 @@ ModelWithProviderEntity, ProviderModelWithStatusEntity, ) -from core.entities.provider_entities import QuotaConfiguration +from core.entities.provider_entities import ProviderQuotaType, QuotaConfiguration from core.model_runtime.entities.common_entities import I18nObject from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.entities.provider_entities import ( @@ -18,7 +18,7 @@ ProviderHelpEntity, SimpleProviderEntity, ) -from models.provider import ProviderQuotaType, ProviderType +from models.provider import ProviderType class CustomConfigurationStatus(Enum): @@ -53,6 +53,7 @@ class ProviderResponse(BaseModel): Model class for provider response. """ + tenant_id: str provider: str label: I18nObject description: Optional[I18nObject] = None @@ -74,7 +75,9 @@ class ProviderResponse(BaseModel): def __init__(self, **data) -> None: super().__init__(**data) - url_prefix = dify_config.CONSOLE_API_URL + f"/console/api/workspaces/current/model-providers/{self.provider}" + url_prefix = ( + dify_config.CONSOLE_API_URL + f"/console/api/workspaces/{self.tenant_id}/model-providers/{self.provider}" + ) if self.icon_small is not None: self.icon_small = I18nObject( en_US=f"{url_prefix}/icon_small/en_US", zh_Hans=f"{url_prefix}/icon_small/zh_Hans" @@ -91,6 +94,7 @@ class ProviderWithModelsResponse(BaseModel): Model class for provider with models response. """ + tenant_id: str provider: str label: I18nObject icon_small: Optional[I18nObject] = None @@ -101,7 +105,9 @@ class ProviderWithModelsResponse(BaseModel): def __init__(self, **data) -> None: super().__init__(**data) - url_prefix = dify_config.CONSOLE_API_URL + f"/console/api/workspaces/current/model-providers/{self.provider}" + url_prefix = ( + dify_config.CONSOLE_API_URL + f"/console/api/workspaces/{self.tenant_id}/model-providers/{self.provider}" + ) if self.icon_small is not None: self.icon_small = I18nObject( en_US=f"{url_prefix}/icon_small/en_US", zh_Hans=f"{url_prefix}/icon_small/zh_Hans" @@ -118,10 +124,14 @@ class SimpleProviderEntityResponse(SimpleProviderEntity): Simple provider entity response. """ + tenant_id: str + def __init__(self, **data) -> None: super().__init__(**data) - url_prefix = dify_config.CONSOLE_API_URL + f"/console/api/workspaces/current/model-providers/{self.provider}" + url_prefix = ( + dify_config.CONSOLE_API_URL + f"/console/api/workspaces/{self.tenant_id}/model-providers/{self.provider}" + ) if self.icon_small is not None: self.icon_small = I18nObject( en_US=f"{url_prefix}/icon_small/en_US", zh_Hans=f"{url_prefix}/icon_small/zh_Hans" @@ -146,13 +156,14 @@ class DefaultModelResponse(BaseModel): model_config = ConfigDict(protected_namespaces=()) -class ModelWithProviderEntityResponse(ModelWithProviderEntity): +class ModelWithProviderEntityResponse(ProviderModelWithStatusEntity): """ Model with provider entity. """ - # FIXME type error ignore here - provider: SimpleProviderEntityResponse # type: ignore + provider: SimpleProviderEntityResponse - def __init__(self, model: ModelWithProviderEntity) -> None: - super().__init__(**model.model_dump()) + def __init__(self, tenant_id: str, model: ModelWithProviderEntity) -> None: + dump_model = model.model_dump() + dump_model["provider"]["tenant_id"] = tenant_id + super().__init__(**dump_model) diff --git a/api/services/feature_service.py b/api/services/feature_service.py index b9261d19d7930e..a42b3020cd9b69 100644 --- a/api/services/feature_service.py +++ b/api/services/feature_service.py @@ -58,6 +58,8 @@ class SystemFeatureModel(BaseModel): sso_enforced_for_web: bool = False sso_enforced_for_web_protocol: str = "" enable_web_sso_switch_component: bool = False + enable_marketplace: bool = True + max_plugin_package_size: int = dify_config.PLUGIN_MAX_PACKAGE_SIZE enable_email_code_login: bool = False enable_email_password_login: bool = True enable_social_oauth_login: bool = False @@ -90,6 +92,9 @@ def get_system_features(cls) -> SystemFeatureModel: cls._fulfill_params_from_enterprise(system_features) + if dify_config.MARKETPLACE_ENABLED: + system_features.enable_marketplace = True + return system_features @classmethod diff --git a/api/services/model_load_balancing_service.py b/api/services/model_load_balancing_service.py index bacd3a8ec3d04f..26311a6377bfcd 100644 --- a/api/services/model_load_balancing_service.py +++ b/api/services/model_load_balancing_service.py @@ -14,7 +14,7 @@ ModelCredentialSchema, ProviderCredentialSchema, ) -from core.model_runtime.model_providers import model_provider_factory +from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory from core.provider_manager import ProviderManager from extensions.ext_database import db from models.provider import LoadBalancingModelConfig @@ -527,6 +527,7 @@ def _custom_credentials_validate( credentials[key] = encrypter.decrypt_token(tenant_id, original_credentials[key]) if validate: + model_provider_factory = ModelProviderFactory(tenant_id) if isinstance(credential_schemas, ModelCredentialSchema): credentials = model_provider_factory.model_credentials_validate( provider=provider_configuration.provider.provider, diff --git a/api/services/model_provider_service.py b/api/services/model_provider_service.py index b10c5ad2d616e9..0a0a5619e17c55 100644 --- a/api/services/model_provider_service.py +++ b/api/services/model_provider_service.py @@ -1,16 +1,9 @@ import logging -import mimetypes -import os -from pathlib import Path -from typing import Optional, cast - -import requests -from flask import current_app +from typing import Optional from core.entities.model_entities import ModelStatus, ModelWithProviderEntity, ProviderModelWithStatusEntity from core.model_runtime.entities.model_entities import ModelType, ParameterRule -from core.model_runtime.model_providers import model_provider_factory -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel +from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory from core.provider_manager import ProviderManager from models.provider import ProviderType from services.entities.model_provider_entities import ( @@ -54,6 +47,7 @@ def get_provider_list(self, tenant_id: str, model_type: Optional[str] = None) -> continue provider_response = ProviderResponse( + tenant_id=tenant_id, provider=provider_configuration.provider.provider, label=provider_configuration.provider.label, description=provider_configuration.provider.description, @@ -97,10 +91,11 @@ def get_models_by_provider(self, tenant_id: str, provider: str) -> list[ModelWit # Get provider available models return [ - ModelWithProviderEntityResponse(model) for model in provider_configurations.get_models(provider=provider) + ModelWithProviderEntityResponse(tenant_id=tenant_id, model=model) + for model in provider_configurations.get_models(provider=provider) ] - def get_provider_credentials(self, tenant_id: str, provider: str): + def get_provider_credentials(self, tenant_id: str, provider: str) -> Optional[dict]: """ get provider credentials. """ @@ -168,7 +163,7 @@ def remove_provider_credentials(self, tenant_id: str, provider: str) -> None: # Remove custom provider credentials. provider_configuration.delete_custom_credentials() - def get_model_credentials(self, tenant_id: str, provider: str, model_type: str, model: str): + def get_model_credentials(self, tenant_id: str, provider: str, model_type: str, model: str) -> Optional[dict]: """ get model credentials. @@ -302,6 +297,7 @@ def get_models_by_model_type(self, tenant_id: str, model_type: str) -> list[Prov providers_with_models.append( ProviderWithModelsResponse( + tenant_id=tenant_id, provider=provider, label=first_model.provider.label, icon_small=first_model.provider.icon_small, @@ -343,18 +339,17 @@ def get_model_parameter_rules(self, tenant_id: str, provider: str, model: str) - if not provider_configuration: raise ValueError(f"Provider {provider} does not exist.") - # Get model instance of LLM - model_type_instance = provider_configuration.get_model_type_instance(ModelType.LLM) - model_type_instance = cast(LargeLanguageModel, model_type_instance) - # fetch credentials credentials = provider_configuration.get_current_credentials(model_type=ModelType.LLM, model=model) if not credentials: return [] - # Call get_parameter_rules method of model instance to get model parameter rules - return list(model_type_instance.get_parameter_rules(model=model, credentials=credentials)) + model_schema = provider_configuration.get_model_schema( + model_type=ModelType.LLM, model=model, credentials=credentials + ) + + return model_schema.parameter_rules if model_schema else [] def get_default_model_of_model_type(self, tenant_id: str, model_type: str) -> Optional[DefaultModelResponse]: """ @@ -365,13 +360,15 @@ def get_default_model_of_model_type(self, tenant_id: str, model_type: str) -> Op :return: """ model_type_enum = ModelType.value_of(model_type) - result = self.provider_manager.get_default_model(tenant_id=tenant_id, model_type=model_type_enum) + try: + result = self.provider_manager.get_default_model(tenant_id=tenant_id, model_type=model_type_enum) return ( DefaultModelResponse( model=result.model, model_type=result.model_type, provider=SimpleProviderEntityResponse( + tenant_id=tenant_id, provider=result.provider.provider, label=result.provider.label, icon_small=result.provider.icon_small, @@ -383,7 +380,7 @@ def get_default_model_of_model_type(self, tenant_id: str, model_type: str) -> Op else None ) except Exception as e: - logger.info(f"get_default_model_of_model_type error: {e}") + logger.debug(f"get_default_model_of_model_type error: {e}") return None def update_default_model_of_model_type(self, tenant_id: str, model_type: str, provider: str, model: str) -> None: @@ -402,55 +399,21 @@ def update_default_model_of_model_type(self, tenant_id: str, model_type: str, pr ) def get_model_provider_icon( - self, provider: str, icon_type: str, lang: str + self, tenant_id: str, provider: str, icon_type: str, lang: str ) -> tuple[Optional[bytes], Optional[str]]: """ get model provider icon. + :param tenant_id: workspace id :param provider: provider name :param icon_type: icon type (icon_small or icon_large) :param lang: language (zh_Hans or en_US) :return: """ - provider_instance = model_provider_factory.get_provider_instance(provider) - provider_schema = provider_instance.get_provider_schema() - file_name: str | None = None - - if icon_type.lower() == "icon_small": - if not provider_schema.icon_small: - raise ValueError(f"Provider {provider} does not have small icon.") - - if lang.lower() == "zh_hans": - file_name = provider_schema.icon_small.zh_Hans - else: - file_name = provider_schema.icon_small.en_US - else: - if not provider_schema.icon_large: - raise ValueError(f"Provider {provider} does not have large icon.") - - if lang.lower() == "zh_hans": - file_name = provider_schema.icon_large.zh_Hans - else: - file_name = provider_schema.icon_large.en_US - if not file_name: - return None, None - - root_path = current_app.root_path - provider_instance_path = os.path.dirname( - os.path.join(root_path, provider_instance.__class__.__module__.replace(".", "/")) - ) - file_path = os.path.join(provider_instance_path, "_assets") - file_path = os.path.join(file_path, file_name) - - if not os.path.exists(file_path): - return None, None + model_provider_factory = ModelProviderFactory(tenant_id) + byte_data, mime_type = model_provider_factory.get_provider_icon(provider, icon_type, lang) - mimetype, _ = mimetypes.guess_type(file_path) - mimetype = mimetype or "application/octet-stream" - - # read binary from file - byte_data = Path(file_path).read_bytes() - return byte_data, mimetype + return byte_data, mime_type def switch_preferred_provider(self, tenant_id: str, provider: str, preferred_provider_type: str) -> None: """ @@ -516,48 +479,3 @@ def disable_model(self, tenant_id: str, provider: str, model: str, model_type: s # Enable model provider_configuration.disable_model(model=model, model_type=ModelType.value_of(model_type)) - - def free_quota_submit(self, tenant_id: str, provider: str): - api_key = os.environ.get("FREE_QUOTA_APPLY_API_KEY") - api_base_url = os.environ.get("FREE_QUOTA_APPLY_BASE_URL", "") - api_url = api_base_url + "/api/v1/providers/apply" - - headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"} - response = requests.post(api_url, headers=headers, json={"workspace_id": tenant_id, "provider_name": provider}) - if not response.ok: - logger.error(f"Request FREE QUOTA APPLY SERVER Error: {response.status_code} ") - raise ValueError(f"Error: {response.status_code} ") - - if response.json()["code"] != "success": - raise ValueError(f"error: {response.json()['message']}") - - rst = response.json() - - if rst["type"] == "redirect": - return {"type": rst["type"], "redirect_url": rst["redirect_url"]} - else: - return {"type": rst["type"], "result": "success"} - - def free_quota_qualification_verify(self, tenant_id: str, provider: str, token: Optional[str]): - api_key = os.environ.get("FREE_QUOTA_APPLY_API_KEY") - api_base_url = os.environ.get("FREE_QUOTA_APPLY_BASE_URL", "") - api_url = api_base_url + "/api/v1/providers/qualification-verify" - - headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"} - json_data = {"workspace_id": tenant_id, "provider_name": provider} - if token: - json_data["token"] = token - response = requests.post(api_url, headers=headers, json=json_data) - if not response.ok: - logger.error(f"Request FREE QUOTA APPLY SERVER Error: {response.status_code} ") - raise ValueError(f"Error: {response.status_code} ") - - rst = response.json() - if rst["code"] != "success": - raise ValueError(f"error: {rst['message']}") - - data = rst["data"] - if data["qualified"] is True: - return {"result": "success", "provider_name": provider, "flag": True} - else: - return {"result": "success", "provider_name": provider, "flag": False, "reason": data["reason"]} diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/llm/__init__.py b/api/services/plugin/__init__.py similarity index 100% rename from api/core/model_runtime/model_providers/azure_ai_studio/llm/__init__.py rename to api/services/plugin/__init__.py diff --git a/api/services/plugin/data_migration.py b/api/services/plugin/data_migration.py new file mode 100644 index 00000000000000..7228a166320631 --- /dev/null +++ b/api/services/plugin/data_migration.py @@ -0,0 +1,185 @@ +import json +import logging + +import click + +from core.entities import DEFAULT_PLUGIN_ID +from models.engine import db + +logger = logging.getLogger(__name__) + + +class PluginDataMigration: + @classmethod + def migrate(cls) -> None: + cls.migrate_db_records("providers", "provider_name") # large table + cls.migrate_db_records("provider_models", "provider_name") + cls.migrate_db_records("provider_orders", "provider_name") + cls.migrate_db_records("tenant_default_models", "provider_name") + cls.migrate_db_records("tenant_preferred_model_providers", "provider_name") + cls.migrate_db_records("provider_model_settings", "provider_name") + cls.migrate_db_records("load_balancing_model_configs", "provider_name") + cls.migrate_datasets() + cls.migrate_db_records("embeddings", "provider_name") # large table + cls.migrate_db_records("dataset_collection_bindings", "provider_name") + cls.migrate_db_records("tool_builtin_providers", "provider") + + @classmethod + def migrate_datasets(cls) -> None: + table_name = "datasets" + provider_column_name = "embedding_model_provider" + + click.echo(click.style(f"Migrating [{table_name}] data for plugin", fg="white")) + + processed_count = 0 + failed_ids = [] + while True: + sql = f"""select id, {provider_column_name} as provider_name, retrieval_model from {table_name} +where {provider_column_name} not like '%/%' and {provider_column_name} is not null and {provider_column_name} != '' +limit 1000""" + with db.engine.begin() as conn: + rs = conn.execute(db.text(sql)) + + current_iter_count = 0 + for i in rs: + record_id = str(i.id) + provider_name = str(i.provider_name) + retrieval_model = i.retrieval_model + print(type(retrieval_model)) + + if record_id in failed_ids: + continue + + retrieval_model_changed = False + if retrieval_model: + if ( + "reranking_model" in retrieval_model + and "reranking_provider_name" in retrieval_model["reranking_model"] + and retrieval_model["reranking_model"]["reranking_provider_name"] + and "/" not in retrieval_model["reranking_model"]["reranking_provider_name"] + ): + click.echo( + click.style( + f"[{processed_count}] Migrating {table_name} {record_id} " + f"(reranking_provider_name: " + f"{retrieval_model['reranking_model']['reranking_provider_name']})", + fg="white", + ) + ) + retrieval_model["reranking_model"]["reranking_provider_name"] = ( + f"{DEFAULT_PLUGIN_ID}/{retrieval_model['reranking_model']['reranking_provider_name']}/{retrieval_model['reranking_model']['reranking_provider_name']}" + ) + retrieval_model_changed = True + + click.echo( + click.style( + f"[{processed_count}] Migrating [{table_name}] {record_id} ({provider_name})", + fg="white", + ) + ) + + try: + # update provider name append with "langgenius/{provider_name}/{provider_name}" + params = {"record_id": record_id} + update_retrieval_model_sql = "" + if retrieval_model and retrieval_model_changed: + update_retrieval_model_sql = ", retrieval_model = :retrieval_model" + params["retrieval_model"] = json.dumps(retrieval_model) + + sql = f"""update {table_name} + set {provider_column_name} = + concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) + {update_retrieval_model_sql} + where id = :record_id""" + conn.execute(db.text(sql), params) + click.echo( + click.style( + f"[{processed_count}] Migrated [{table_name}] {record_id} ({provider_name})", + fg="green", + ) + ) + except Exception: + failed_ids.append(record_id) + click.echo( + click.style( + f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})", + fg="red", + ) + ) + logger.exception( + f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})" + ) + continue + + current_iter_count += 1 + processed_count += 1 + + if not current_iter_count: + break + + click.echo( + click.style(f"Migrate [{table_name}] data for plugin completed, total: {processed_count}", fg="green") + ) + + @classmethod + def migrate_db_records(cls, table_name: str, provider_column_name: str) -> None: + click.echo(click.style(f"Migrating [{table_name}] data for plugin", fg="white")) + + processed_count = 0 + failed_ids = [] + while True: + sql = f"""select id, {provider_column_name} as provider_name from {table_name} +where {provider_column_name} not like '%/%' and {provider_column_name} is not null and {provider_column_name} != '' +limit 1000""" + with db.engine.begin() as conn: + rs = conn.execute(db.text(sql)) + + current_iter_count = 0 + for i in rs: + current_iter_count += 1 + processed_count += 1 + record_id = str(i.id) + provider_name = str(i.provider_name) + + if record_id in failed_ids: + continue + + click.echo( + click.style( + f"[{processed_count}] Migrating [{table_name}] {record_id} ({provider_name})", + fg="white", + ) + ) + + try: + # update provider name append with "langgenius/{provider_name}/{provider_name}" + sql = f"""update {table_name} + set {provider_column_name} = + concat('{DEFAULT_PLUGIN_ID}/', {provider_column_name}, '/', {provider_column_name}) + where id = :record_id""" + conn.execute(db.text(sql), {"record_id": record_id}) + click.echo( + click.style( + f"[{processed_count}] Migrated [{table_name}] {record_id} ({provider_name})", + fg="green", + ) + ) + except Exception: + failed_ids.append(record_id) + click.echo( + click.style( + f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})", + fg="red", + ) + ) + logger.exception( + f"[{processed_count}] Failed to migrate [{table_name}] {record_id} ({provider_name})" + ) + continue + + if not current_iter_count: + break + + click.echo( + click.style(f"Migrate [{table_name}] data for plugin completed, total: {processed_count}", fg="green") + ) diff --git a/api/services/plugin/dependencies_analysis.py b/api/services/plugin/dependencies_analysis.py new file mode 100644 index 00000000000000..77da3d09ea9ac5 --- /dev/null +++ b/api/services/plugin/dependencies_analysis.py @@ -0,0 +1,128 @@ +from core.helper import marketplace +from core.plugin.entities.plugin import GenericProviderID, PluginDependency, PluginInstallationSource +from core.plugin.manager.plugin import PluginInstallationManager + + +class DependenciesAnalysisService: + @classmethod + def analyze_tool_dependency(cls, tool_id: str) -> str: + """ + Analyze the dependency of a tool. + + Convert the tool id to the plugin_id + """ + try: + tool_provider_id = GenericProviderID(tool_id) + if tool_id in ["jina", "siliconflow"]: + tool_provider_id.plugin_name = tool_provider_id.plugin_name + "_tool" + return tool_provider_id.plugin_id + except Exception as e: + raise e + + @classmethod + def analyze_model_provider_dependency(cls, model_provider_id: str) -> str: + """ + Analyze the dependency of a model provider. + + Convert the model provider id to the plugin_id + """ + try: + generic_provider_id = GenericProviderID(model_provider_id) + if model_provider_id == "google": + generic_provider_id.plugin_name = "gemini" + + return generic_provider_id.plugin_id + except Exception as e: + raise e + + @classmethod + def get_leaked_dependencies(cls, tenant_id: str, dependencies: list[PluginDependency]) -> list[PluginDependency]: + """ + Check dependencies, returns the leaked dependencies in current workspace + """ + required_plugin_unique_identifiers = [] + for dependency in dependencies: + required_plugin_unique_identifiers.append(dependency.value.plugin_unique_identifier) + + manager = PluginInstallationManager() + + # get leaked dependencies + missing_plugins = manager.fetch_missing_dependencies(tenant_id, required_plugin_unique_identifiers) + missing_plugin_unique_identifiers = {plugin.plugin_unique_identifier: plugin for plugin in missing_plugins} + + leaked_dependencies = [] + for dependency in dependencies: + unique_identifier = dependency.value.plugin_unique_identifier + if unique_identifier in missing_plugin_unique_identifiers: + leaked_dependencies.append( + PluginDependency( + type=dependency.type, + value=dependency.value, + current_identifier=missing_plugin_unique_identifiers[unique_identifier].current_identifier, + ) + ) + + return leaked_dependencies + + @classmethod + def generate_dependencies(cls, tenant_id: str, dependencies: list[str]) -> list[PluginDependency]: + """ + Generate dependencies through the list of plugin ids + """ + dependencies = list(set(dependencies)) + manager = PluginInstallationManager() + plugins = manager.fetch_plugin_installation_by_ids(tenant_id, dependencies) + result = [] + for plugin in plugins: + if plugin.source == PluginInstallationSource.Github: + result.append( + PluginDependency( + type=PluginDependency.Type.Github, + value=PluginDependency.Github( + repo=plugin.meta["repo"], + version=plugin.meta["version"], + package=plugin.meta["package"], + github_plugin_unique_identifier=plugin.plugin_unique_identifier, + ), + ) + ) + elif plugin.source == PluginInstallationSource.Marketplace: + result.append( + PluginDependency( + type=PluginDependency.Type.Marketplace, + value=PluginDependency.Marketplace( + marketplace_plugin_unique_identifier=plugin.plugin_unique_identifier + ), + ) + ) + elif plugin.source == PluginInstallationSource.Package: + result.append( + PluginDependency( + type=PluginDependency.Type.Package, + value=PluginDependency.Package(plugin_unique_identifier=plugin.plugin_unique_identifier), + ) + ) + elif plugin.source == PluginInstallationSource.Remote: + raise ValueError( + f"You used a remote plugin: {plugin.plugin_unique_identifier} in the app, please remove it first" + " if you want to export the DSL." + ) + else: + raise ValueError(f"Unknown plugin source: {plugin.source}") + + return result + + @classmethod + def generate_latest_dependencies(cls, dependencies: list[str]) -> list[PluginDependency]: + """ + Generate the latest version of dependencies + """ + dependencies = list(set(dependencies)) + deps = marketplace.batch_fetch_plugin_manifests(dependencies) + return [ + PluginDependency( + type=PluginDependency.Type.Marketplace, + value=PluginDependency.Marketplace(marketplace_plugin_unique_identifier=dep.latest_package_identifier), + ) + for dep in deps + ] diff --git a/api/services/plugin/endpoint_service.py b/api/services/plugin/endpoint_service.py new file mode 100644 index 00000000000000..35961345a8cc17 --- /dev/null +++ b/api/services/plugin/endpoint_service.py @@ -0,0 +1,66 @@ +from core.plugin.manager.endpoint import PluginEndpointManager + + +class EndpointService: + @classmethod + def create_endpoint(cls, tenant_id: str, user_id: str, plugin_unique_identifier: str, name: str, settings: dict): + return PluginEndpointManager().create_endpoint( + tenant_id=tenant_id, + user_id=user_id, + plugin_unique_identifier=plugin_unique_identifier, + name=name, + settings=settings, + ) + + @classmethod + def list_endpoints(cls, tenant_id: str, user_id: str, page: int, page_size: int): + return PluginEndpointManager().list_endpoints( + tenant_id=tenant_id, + user_id=user_id, + page=page, + page_size=page_size, + ) + + @classmethod + def list_endpoints_for_single_plugin(cls, tenant_id: str, user_id: str, plugin_id: str, page: int, page_size: int): + return PluginEndpointManager().list_endpoints_for_single_plugin( + tenant_id=tenant_id, + user_id=user_id, + plugin_id=plugin_id, + page=page, + page_size=page_size, + ) + + @classmethod + def update_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str, name: str, settings: dict): + return PluginEndpointManager().update_endpoint( + tenant_id=tenant_id, + user_id=user_id, + endpoint_id=endpoint_id, + name=name, + settings=settings, + ) + + @classmethod + def delete_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str): + return PluginEndpointManager().delete_endpoint( + tenant_id=tenant_id, + user_id=user_id, + endpoint_id=endpoint_id, + ) + + @classmethod + def enable_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str): + return PluginEndpointManager().enable_endpoint( + tenant_id=tenant_id, + user_id=user_id, + endpoint_id=endpoint_id, + ) + + @classmethod + def disable_endpoint(cls, tenant_id: str, user_id: str, endpoint_id: str): + return PluginEndpointManager().disable_endpoint( + tenant_id=tenant_id, + user_id=user_id, + endpoint_id=endpoint_id, + ) diff --git a/api/core/model_runtime/model_providers/azure_ai_studio/rerank/__init__.py b/api/services/plugin/github_service.py similarity index 100% rename from api/core/model_runtime/model_providers/azure_ai_studio/rerank/__init__.py rename to api/services/plugin/github_service.py diff --git a/api/services/plugin/plugin_migration.py b/api/services/plugin/plugin_migration.py new file mode 100644 index 00000000000000..179713d637f2fa --- /dev/null +++ b/api/services/plugin/plugin_migration.py @@ -0,0 +1,523 @@ +import datetime +import json +import logging +import time +from collections.abc import Mapping, Sequence +from concurrent.futures import ThreadPoolExecutor +from pathlib import Path +from typing import Any, Optional +from uuid import uuid4 + +import click +import tqdm +from flask import Flask, current_app +from sqlalchemy.orm import Session + +from core.agent.entities import AgentToolEntity +from core.entities import DEFAULT_PLUGIN_ID +from core.helper import marketplace +from core.plugin.entities.plugin import PluginInstallationSource +from core.plugin.entities.plugin_daemon import PluginInstallTaskStatus +from core.plugin.manager.plugin import PluginInstallationManager +from core.tools.entities.tool_entities import ToolProviderType +from models.account import Tenant +from models.engine import db +from models.model import App, AppMode, AppModelConfig +from models.tools import BuiltinToolProvider +from models.workflow import Workflow + +logger = logging.getLogger(__name__) + +excluded_providers = ["time", "audio", "code", "webscraper"] + + +class PluginMigration: + @classmethod + def extract_plugins(cls, filepath: str, workers: int) -> None: + """ + Migrate plugin. + """ + import concurrent.futures + from threading import Lock + + click.echo(click.style("Migrating models/tools to new plugin Mechanism", fg="white")) + ended_at = datetime.datetime.now() + started_at = datetime.datetime(2023, 4, 3, 8, 59, 24) + current_time = started_at + + with Session(db.engine) as session: + total_tenant_count = session.query(Tenant.id).count() + + click.echo(click.style(f"Total tenant count: {total_tenant_count}", fg="white")) + + handled_tenant_count = 0 + file_lock = Lock() + counter_lock = Lock() + + thread_pool = concurrent.futures.ThreadPoolExecutor(max_workers=workers) + + def process_tenant(flask_app: Flask, tenant_id: str) -> None: + with flask_app.app_context(): + nonlocal handled_tenant_count + try: + plugins = cls.extract_installed_plugin_ids(tenant_id) + # Use lock when writing to file + with file_lock: + with open(filepath, "a") as f: + f.write(json.dumps({"tenant_id": tenant_id, "plugins": plugins}) + "\n") + + # Use lock when updating counter + with counter_lock: + nonlocal handled_tenant_count + handled_tenant_count += 1 + click.echo( + click.style( + f"[{datetime.datetime.now()}] " + f"Processed {handled_tenant_count} tenants " + f"({(handled_tenant_count / total_tenant_count) * 100:.1f}%), " + f"{handled_tenant_count}/{total_tenant_count}", + fg="green", + ) + ) + except Exception: + logger.exception(f"Failed to process tenant {tenant_id}") + + futures = [] + + while current_time < ended_at: + click.echo(click.style(f"Current time: {current_time}, Started at: {datetime.datetime.now()}", fg="white")) + # Initial interval of 1 day, will be dynamically adjusted based on tenant count + interval = datetime.timedelta(days=1) + # Process tenants in this batch + with Session(db.engine) as session: + # Calculate tenant count in next batch with current interval + # Try different intervals until we find one with a reasonable tenant count + test_intervals = [ + datetime.timedelta(days=1), + datetime.timedelta(hours=12), + datetime.timedelta(hours=6), + datetime.timedelta(hours=3), + datetime.timedelta(hours=1), + ] + + for test_interval in test_intervals: + tenant_count = ( + session.query(Tenant.id) + .filter(Tenant.created_at.between(current_time, current_time + test_interval)) + .count() + ) + if tenant_count <= 100: + interval = test_interval + break + else: + # If all intervals have too many tenants, use minimum interval + interval = datetime.timedelta(hours=1) + + # Adjust interval to target ~100 tenants per batch + if tenant_count > 0: + # Scale interval based on ratio to target count + interval = min( + datetime.timedelta(days=1), # Max 1 day + max( + datetime.timedelta(hours=1), # Min 1 hour + interval * (100 / tenant_count), # Scale to target 100 + ), + ) + + batch_end = min(current_time + interval, ended_at) + + rs = ( + session.query(Tenant.id) + .filter(Tenant.created_at.between(current_time, batch_end)) + .order_by(Tenant.created_at) + ) + + tenants = [] + for row in rs: + tenant_id = str(row.id) + try: + tenants.append(tenant_id) + except Exception: + logger.exception(f"Failed to process tenant {tenant_id}") + continue + + futures.append( + thread_pool.submit( + process_tenant, + current_app._get_current_object(), # type: ignore[attr-defined] + tenant_id, + ) + ) + + current_time = batch_end + + # wait for all threads to finish + for future in futures: + future.result() + + @classmethod + def extract_installed_plugin_ids(cls, tenant_id: str) -> Sequence[str]: + """ + Extract installed plugin ids. + """ + tools = cls.extract_tool_tables(tenant_id) + models = cls.extract_model_tables(tenant_id) + workflows = cls.extract_workflow_tables(tenant_id) + apps = cls.extract_app_tables(tenant_id) + + return list({*tools, *models, *workflows, *apps}) + + @classmethod + def extract_model_tables(cls, tenant_id: str) -> Sequence[str]: + """ + Extract model tables. + + """ + models: list[str] = [] + table_pairs = [ + ("providers", "provider_name"), + ("provider_models", "provider_name"), + ("provider_orders", "provider_name"), + ("tenant_default_models", "provider_name"), + ("tenant_preferred_model_providers", "provider_name"), + ("provider_model_settings", "provider_name"), + ("load_balancing_model_configs", "provider_name"), + ] + + for table, column in table_pairs: + models.extend(cls.extract_model_table(tenant_id, table, column)) + + # duplicate models + models = list(set(models)) + + return models + + @classmethod + def extract_model_table(cls, tenant_id: str, table: str, column: str) -> Sequence[str]: + """ + Extract model table. + """ + with Session(db.engine) as session: + rs = session.execute( + db.text(f"SELECT DISTINCT {column} FROM {table} WHERE tenant_id = :tenant_id"), {"tenant_id": tenant_id} + ) + result = [] + for row in rs: + provider_name = str(row[0]) + if provider_name and "/" not in provider_name: + if provider_name == "google": + provider_name = "gemini" + + result.append(DEFAULT_PLUGIN_ID + "/" + provider_name) + elif provider_name: + result.append(provider_name) + + return result + + @classmethod + def extract_tool_tables(cls, tenant_id: str) -> Sequence[str]: + """ + Extract tool tables. + """ + with Session(db.engine) as session: + rs = session.query(BuiltinToolProvider).filter(BuiltinToolProvider.tenant_id == tenant_id).all() + result = [] + for row in rs: + if "/" not in row.provider: + result.append(DEFAULT_PLUGIN_ID + "/" + row.provider) + else: + result.append(row.provider) + + return result + + @classmethod + def _handle_builtin_tool_provider(cls, provider_name: str) -> str: + """ + Handle builtin tool provider. + """ + if provider_name == "jina": + provider_name = "jina_tool" + elif provider_name == "siliconflow": + provider_name = "siliconflow_tool" + elif provider_name == "stepfun": + provider_name = "stepfun_tool" + + if "/" not in provider_name: + return DEFAULT_PLUGIN_ID + "/" + provider_name + else: + return provider_name + + @classmethod + def extract_workflow_tables(cls, tenant_id: str) -> Sequence[str]: + """ + Extract workflow tables, only ToolNode is required. + """ + + with Session(db.engine) as session: + rs = session.query(Workflow).filter(Workflow.tenant_id == tenant_id).all() + result = [] + for row in rs: + graph = row.graph_dict + # get nodes + nodes = graph.get("nodes", []) + + for node in nodes: + data = node.get("data", {}) + if data.get("type") == "tool": + provider_name = data.get("provider_name") + provider_type = data.get("provider_type") + if provider_name not in excluded_providers and provider_type == ToolProviderType.BUILT_IN.value: + provider_name = cls._handle_builtin_tool_provider(provider_name) + result.append(provider_name) + + return result + + @classmethod + def extract_app_tables(cls, tenant_id: str) -> Sequence[str]: + """ + Extract app tables. + """ + with Session(db.engine) as session: + apps = session.query(App).filter(App.tenant_id == tenant_id).all() + if not apps: + return [] + + agent_app_model_config_ids = [ + app.app_model_config_id for app in apps if app.is_agent or app.mode == AppMode.AGENT_CHAT.value + ] + + rs = session.query(AppModelConfig).filter(AppModelConfig.id.in_(agent_app_model_config_ids)).all() + result = [] + for row in rs: + agent_config = row.agent_mode_dict + if "tools" in agent_config and isinstance(agent_config["tools"], list): + for tool in agent_config["tools"]: + if isinstance(tool, dict): + try: + tool_entity = AgentToolEntity(**tool) + if ( + tool_entity.provider_type == ToolProviderType.BUILT_IN.value + and tool_entity.provider_id not in excluded_providers + ): + result.append(cls._handle_builtin_tool_provider(tool_entity.provider_id)) + + except Exception: + logger.exception(f"Failed to process tool {tool}") + continue + + return result + + @classmethod + def _fetch_plugin_unique_identifier(cls, plugin_id: str) -> Optional[str]: + """ + Fetch plugin unique identifier using plugin id. + """ + plugin_manifest = marketplace.batch_fetch_plugin_manifests([plugin_id]) + if not plugin_manifest: + return None + + return plugin_manifest[0].latest_package_identifier + + @classmethod + def extract_unique_plugins_to_file(cls, extracted_plugins: str, output_file: str) -> None: + """ + Extract unique plugins. + """ + Path(output_file).write_text(json.dumps(cls.extract_unique_plugins(extracted_plugins))) + + @classmethod + def extract_unique_plugins(cls, extracted_plugins: str) -> Mapping[str, Any]: + plugins: dict[str, str] = {} + plugin_ids = [] + plugin_not_exist = [] + logger.info(f"Extracting unique plugins from {extracted_plugins}") + with open(extracted_plugins) as f: + for line in f: + data = json.loads(line) + new_plugin_ids = data.get("plugins", []) + for plugin_id in new_plugin_ids: + if plugin_id not in plugin_ids: + plugin_ids.append(plugin_id) + + def fetch_plugin(plugin_id): + try: + unique_identifier = cls._fetch_plugin_unique_identifier(plugin_id) + if unique_identifier: + plugins[plugin_id] = unique_identifier + else: + plugin_not_exist.append(plugin_id) + except Exception: + logger.exception(f"Failed to fetch plugin unique identifier for {plugin_id}") + plugin_not_exist.append(plugin_id) + + with ThreadPoolExecutor(max_workers=10) as executor: + list(tqdm.tqdm(executor.map(fetch_plugin, plugin_ids), total=len(plugin_ids))) + + return {"plugins": plugins, "plugin_not_exist": plugin_not_exist} + + @classmethod + def install_plugins(cls, extracted_plugins: str, output_file: str) -> None: + """ + Install plugins. + """ + manager = PluginInstallationManager() + + plugins = cls.extract_unique_plugins(extracted_plugins) + not_installed = [] + plugin_install_failed = [] + + # use a fake tenant id to install all the plugins + fake_tenant_id = uuid4().hex + logger.info(f"Installing {len(plugins['plugins'])} plugin instances for fake tenant {fake_tenant_id}") + + thread_pool = ThreadPoolExecutor(max_workers=40) + + response = cls.handle_plugin_instance_install(fake_tenant_id, plugins["plugins"]) + if response.get("failed"): + plugin_install_failed.extend(response.get("failed", [])) + + def install(tenant_id: str, plugin_ids: list[str]) -> None: + logger.info(f"Installing {len(plugin_ids)} plugins for tenant {tenant_id}") + # at most 64 plugins one batch + for i in range(0, len(plugin_ids), 64): + batch_plugin_ids = plugin_ids[i : i + 64] + batch_plugin_identifiers = [plugins["plugins"][plugin_id] for plugin_id in batch_plugin_ids] + manager.install_from_identifiers( + tenant_id, + batch_plugin_identifiers, + PluginInstallationSource.Marketplace, + metas=[ + { + "plugin_unique_identifier": identifier, + } + for identifier in batch_plugin_identifiers + ], + ) + + with open(extracted_plugins) as f: + """ + Read line by line, and install plugins for each tenant. + """ + for line in f: + data = json.loads(line) + tenant_id = data.get("tenant_id") + plugin_ids = data.get("plugins", []) + current_not_installed = { + "tenant_id": tenant_id, + "plugin_not_exist": [], + } + # get plugin unique identifier + for plugin_id in plugin_ids: + unique_identifier = plugins.get(plugin_id) + if unique_identifier: + current_not_installed["plugin_not_exist"].append(plugin_id) + + if current_not_installed["plugin_not_exist"]: + not_installed.append(current_not_installed) + + thread_pool.submit(install, tenant_id, plugin_ids) + + thread_pool.shutdown(wait=True) + + logger.info("Uninstall plugins") + + # get installation + try: + installation = manager.list_plugins(fake_tenant_id) + while installation: + for plugin in installation: + manager.uninstall(fake_tenant_id, plugin.installation_id) + + installation = manager.list_plugins(fake_tenant_id) + except Exception: + logger.exception(f"Failed to get installation for tenant {fake_tenant_id}") + + Path(output_file).write_text( + json.dumps( + { + "not_installed": not_installed, + "plugin_install_failed": plugin_install_failed, + } + ) + ) + + @classmethod + def handle_plugin_instance_install( + cls, tenant_id: str, plugin_identifiers_map: Mapping[str, str] + ) -> Mapping[str, Any]: + """ + Install plugins for a tenant. + """ + manager = PluginInstallationManager() + + # download all the plugins and upload + thread_pool = ThreadPoolExecutor(max_workers=10) + futures = [] + + for plugin_id, plugin_identifier in plugin_identifiers_map.items(): + + def download_and_upload(tenant_id, plugin_id, plugin_identifier): + plugin_package = marketplace.download_plugin_pkg(plugin_identifier) + if not plugin_package: + raise Exception(f"Failed to download plugin {plugin_identifier}") + + # upload + manager.upload_pkg(tenant_id, plugin_package, verify_signature=True) + + futures.append(thread_pool.submit(download_and_upload, tenant_id, plugin_id, plugin_identifier)) + + # Wait for all downloads to complete + for future in futures: + future.result() # This will raise any exceptions that occurred + + thread_pool.shutdown(wait=True) + success = [] + failed = [] + + reverse_map = {v: k for k, v in plugin_identifiers_map.items()} + + # at most 8 plugins one batch + for i in range(0, len(plugin_identifiers_map), 8): + batch_plugin_ids = list(plugin_identifiers_map.keys())[i : i + 8] + batch_plugin_identifiers = [plugin_identifiers_map[plugin_id] for plugin_id in batch_plugin_ids] + + try: + response = manager.install_from_identifiers( + tenant_id=tenant_id, + identifiers=batch_plugin_identifiers, + source=PluginInstallationSource.Marketplace, + metas=[ + { + "plugin_unique_identifier": identifier, + } + for identifier in batch_plugin_identifiers + ], + ) + except Exception: + # add to failed + failed.extend(batch_plugin_identifiers) + continue + + if response.all_installed: + success.extend(batch_plugin_identifiers) + continue + + task_id = response.task_id + done = False + while not done: + status = manager.fetch_plugin_installation_task(tenant_id, task_id) + if status.status in [PluginInstallTaskStatus.Failed, PluginInstallTaskStatus.Success]: + for plugin in status.plugins: + if plugin.status == PluginInstallTaskStatus.Success: + success.append(reverse_map[plugin.plugin_unique_identifier]) + else: + failed.append(reverse_map[plugin.plugin_unique_identifier]) + logger.error( + f"Failed to install plugin {plugin.plugin_unique_identifier}, error: {plugin.message}" + ) + + done = True + else: + time.sleep(1) + + return {"success": success, "failed": failed} diff --git a/api/services/plugin/plugin_permission_service.py b/api/services/plugin/plugin_permission_service.py new file mode 100644 index 00000000000000..275e496037271a --- /dev/null +++ b/api/services/plugin/plugin_permission_service.py @@ -0,0 +1,34 @@ +from sqlalchemy.orm import Session + +from extensions.ext_database import db +from models.account import TenantPluginPermission + + +class PluginPermissionService: + @staticmethod + def get_permission(tenant_id: str) -> TenantPluginPermission | None: + with Session(db.engine) as session: + return session.query(TenantPluginPermission).filter(TenantPluginPermission.tenant_id == tenant_id).first() + + @staticmethod + def change_permission( + tenant_id: str, + install_permission: TenantPluginPermission.InstallPermission, + debug_permission: TenantPluginPermission.DebugPermission, + ): + with Session(db.engine) as session: + permission = ( + session.query(TenantPluginPermission).filter(TenantPluginPermission.tenant_id == tenant_id).first() + ) + if not permission: + permission = TenantPluginPermission( + tenant_id=tenant_id, install_permission=install_permission, debug_permission=debug_permission + ) + + session.add(permission) + else: + permission.install_permission = install_permission + permission.debug_permission = debug_permission + + session.commit() + return True diff --git a/api/services/plugin/plugin_service.py b/api/services/plugin/plugin_service.py new file mode 100644 index 00000000000000..f84baf6b812a75 --- /dev/null +++ b/api/services/plugin/plugin_service.py @@ -0,0 +1,301 @@ +import logging +from collections.abc import Sequence +from mimetypes import guess_type + +from configs import dify_config +from core.helper import marketplace +from core.helper.download import download_with_size_limit +from core.helper.marketplace import download_plugin_pkg +from core.plugin.entities.bundle import PluginBundleDependency +from core.plugin.entities.plugin import ( + GenericProviderID, + PluginDeclaration, + PluginEntity, + PluginInstallation, + PluginInstallationSource, +) +from core.plugin.entities.plugin_daemon import PluginInstallTask, PluginUploadResponse +from core.plugin.manager.asset import PluginAssetManager +from core.plugin.manager.debugging import PluginDebuggingManager +from core.plugin.manager.plugin import PluginInstallationManager + +logger = logging.getLogger(__name__) + + +class PluginService: + @staticmethod + def get_debugging_key(tenant_id: str) -> str: + """ + get the debugging key of the tenant + """ + manager = PluginDebuggingManager() + return manager.get_debugging_key(tenant_id) + + @staticmethod + def list(tenant_id: str) -> list[PluginEntity]: + """ + list all plugins of the tenant + """ + manager = PluginInstallationManager() + plugins = manager.list_plugins(tenant_id) + plugin_ids = [plugin.plugin_id for plugin in plugins if plugin.source == PluginInstallationSource.Marketplace] + try: + manifests = { + manifest.plugin_id: manifest for manifest in marketplace.batch_fetch_plugin_manifests(plugin_ids) + } + except Exception: + manifests = {} + logger.exception("failed to fetch plugin manifests") + + for plugin in plugins: + if plugin.source == PluginInstallationSource.Marketplace: + if plugin.plugin_id in manifests: + # set latest_version + plugin.latest_version = manifests[plugin.plugin_id].latest_version + plugin.latest_unique_identifier = manifests[plugin.plugin_id].latest_package_identifier + + return plugins + + @staticmethod + def list_installations_from_ids(tenant_id: str, ids: Sequence[str]) -> Sequence[PluginInstallation]: + """ + List plugin installations from ids + """ + manager = PluginInstallationManager() + return manager.fetch_plugin_installation_by_ids(tenant_id, ids) + + @staticmethod + def get_asset(tenant_id: str, asset_file: str) -> tuple[bytes, str]: + """ + get the asset file of the plugin + """ + manager = PluginAssetManager() + # guess mime type + mime_type, _ = guess_type(asset_file) + return manager.fetch_asset(tenant_id, asset_file), mime_type or "application/octet-stream" + + @staticmethod + def check_plugin_unique_identifier(tenant_id: str, plugin_unique_identifier: str) -> bool: + """ + check if the plugin unique identifier is already installed by other tenant + """ + manager = PluginInstallationManager() + return manager.fetch_plugin_by_identifier(tenant_id, plugin_unique_identifier) + + @staticmethod + def fetch_plugin_manifest(tenant_id: str, plugin_unique_identifier: str) -> PluginDeclaration: + """ + Fetch plugin manifest + """ + manager = PluginInstallationManager() + return manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier) + + @staticmethod + def fetch_install_tasks(tenant_id: str, page: int, page_size: int) -> Sequence[PluginInstallTask]: + """ + Fetch plugin installation tasks + """ + manager = PluginInstallationManager() + return manager.fetch_plugin_installation_tasks(tenant_id, page, page_size) + + @staticmethod + def fetch_install_task(tenant_id: str, task_id: str) -> PluginInstallTask: + manager = PluginInstallationManager() + return manager.fetch_plugin_installation_task(tenant_id, task_id) + + @staticmethod + def delete_install_task(tenant_id: str, task_id: str) -> bool: + """ + Delete a plugin installation task + """ + manager = PluginInstallationManager() + return manager.delete_plugin_installation_task(tenant_id, task_id) + + @staticmethod + def delete_all_install_task_items( + tenant_id: str, + ) -> bool: + """ + Delete all plugin installation task items + """ + manager = PluginInstallationManager() + return manager.delete_all_plugin_installation_task_items(tenant_id) + + @staticmethod + def delete_install_task_item(tenant_id: str, task_id: str, identifier: str) -> bool: + """ + Delete a plugin installation task item + """ + manager = PluginInstallationManager() + return manager.delete_plugin_installation_task_item(tenant_id, task_id, identifier) + + @staticmethod + def upgrade_plugin_with_marketplace( + tenant_id: str, original_plugin_unique_identifier: str, new_plugin_unique_identifier: str + ): + """ + Upgrade plugin with marketplace + """ + if original_plugin_unique_identifier == new_plugin_unique_identifier: + raise ValueError("you should not upgrade plugin with the same plugin") + + # check if plugin pkg is already downloaded + manager = PluginInstallationManager() + + try: + manager.fetch_plugin_manifest(tenant_id, new_plugin_unique_identifier) + # already downloaded, skip, and record install event + marketplace.record_install_plugin_event(new_plugin_unique_identifier) + except Exception: + # plugin not installed, download and upload pkg + pkg = download_plugin_pkg(new_plugin_unique_identifier) + manager.upload_pkg(tenant_id, pkg, verify_signature=False) + + return manager.upgrade_plugin( + tenant_id, + original_plugin_unique_identifier, + new_plugin_unique_identifier, + PluginInstallationSource.Marketplace, + { + "plugin_unique_identifier": new_plugin_unique_identifier, + }, + ) + + @staticmethod + def upgrade_plugin_with_github( + tenant_id: str, + original_plugin_unique_identifier: str, + new_plugin_unique_identifier: str, + repo: str, + version: str, + package: str, + ): + """ + Upgrade plugin with github + """ + manager = PluginInstallationManager() + return manager.upgrade_plugin( + tenant_id, + original_plugin_unique_identifier, + new_plugin_unique_identifier, + PluginInstallationSource.Github, + { + "repo": repo, + "version": version, + "package": package, + }, + ) + + @staticmethod + def upload_pkg(tenant_id: str, pkg: bytes, verify_signature: bool = False) -> PluginUploadResponse: + """ + Upload plugin package files + + returns: plugin_unique_identifier + """ + manager = PluginInstallationManager() + return manager.upload_pkg(tenant_id, pkg, verify_signature) + + @staticmethod + def upload_pkg_from_github( + tenant_id: str, repo: str, version: str, package: str, verify_signature: bool = False + ) -> PluginUploadResponse: + """ + Install plugin from github release package files, + returns plugin_unique_identifier + """ + pkg = download_with_size_limit( + f"https://github.com/{repo}/releases/download/{version}/{package}", dify_config.PLUGIN_MAX_PACKAGE_SIZE + ) + + manager = PluginInstallationManager() + return manager.upload_pkg( + tenant_id, + pkg, + verify_signature, + ) + + @staticmethod + def upload_bundle( + tenant_id: str, bundle: bytes, verify_signature: bool = False + ) -> Sequence[PluginBundleDependency]: + """ + Upload a plugin bundle and return the dependencies. + """ + manager = PluginInstallationManager() + return manager.upload_bundle(tenant_id, bundle, verify_signature) + + @staticmethod + def install_from_local_pkg(tenant_id: str, plugin_unique_identifiers: Sequence[str]): + manager = PluginInstallationManager() + return manager.install_from_identifiers( + tenant_id, + plugin_unique_identifiers, + PluginInstallationSource.Package, + [{}], + ) + + @staticmethod + def install_from_github(tenant_id: str, plugin_unique_identifier: str, repo: str, version: str, package: str): + """ + Install plugin from github release package files, + returns plugin_unique_identifier + """ + manager = PluginInstallationManager() + return manager.install_from_identifiers( + tenant_id, + [plugin_unique_identifier], + PluginInstallationSource.Github, + [ + { + "repo": repo, + "version": version, + "package": package, + } + ], + ) + + @staticmethod + def install_from_marketplace_pkg( + tenant_id: str, plugin_unique_identifiers: Sequence[str], verify_signature: bool = False + ): + """ + Install plugin from marketplace package files, + returns installation task id + """ + manager = PluginInstallationManager() + + # check if already downloaded + for plugin_unique_identifier in plugin_unique_identifiers: + try: + manager.fetch_plugin_manifest(tenant_id, plugin_unique_identifier) + # already downloaded, skip + except Exception: + # plugin not installed, download and upload pkg + pkg = download_plugin_pkg(plugin_unique_identifier) + manager.upload_pkg(tenant_id, pkg, verify_signature) + + return manager.install_from_identifiers( + tenant_id, + plugin_unique_identifiers, + PluginInstallationSource.Marketplace, + [ + { + "plugin_unique_identifier": plugin_unique_identifier, + } + for plugin_unique_identifier in plugin_unique_identifiers + ], + ) + + @staticmethod + def uninstall(tenant_id: str, plugin_installation_id: str) -> bool: + manager = PluginInstallationManager() + return manager.uninstall(tenant_id, plugin_installation_id) + + @staticmethod + def check_tools_existence(tenant_id: str, provider_ids: Sequence[GenericProviderID]) -> Sequence[bool]: + """ + Check if the tools exist + """ + manager = PluginInstallationManager() + return manager.check_tools_existence(tenant_id, provider_ids) diff --git a/api/services/tools/api_tools_manage_service.py b/api/services/tools/api_tools_manage_service.py index 988f9df927e4f7..6f848d49c4d304 100644 --- a/api/services/tools/api_tools_manage_service.py +++ b/api/services/tools/api_tools_manage_service.py @@ -1,24 +1,24 @@ import json import logging from collections.abc import Mapping -from typing import Any, Optional, cast +from typing import Any, cast from httpx import get +from core.entities.provider_entities import ProviderConfig from core.model_runtime.utils.encoders import jsonable_encoder -from core.tools.entities.api_entities import UserTool, UserToolProvider +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.custom_tool.provider import ApiToolProviderController +from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_bundle import ApiToolBundle from core.tools.entities.tool_entities import ( ApiProviderAuthType, ApiProviderSchemaType, - ToolCredentialsOption, - ToolProviderCredentials, ) -from core.tools.provider.api_tool_provider import ApiToolProviderController from core.tools.tool_label_manager import ToolLabelManager from core.tools.tool_manager import ToolManager -from core.tools.utils.configuration import ToolConfigurationManager +from core.tools.utils.configuration import ProviderConfigEncrypter from core.tools.utils.parser import ApiBasedToolSchemaParser from extensions.ext_database import db from models.tools import ApiToolProvider @@ -41,28 +41,28 @@ def parser_api_schema(schema: str) -> Mapping[str, Any]: raise ValueError(f"invalid schema: {str(e)}") credentials_schema = [ - ToolProviderCredentials( + ProviderConfig( name="auth_type", - type=ToolProviderCredentials.CredentialsType.SELECT, + type=ProviderConfig.Type.SELECT, required=True, default="none", options=[ - ToolCredentialsOption(value="none", label=I18nObject(en_US="None", zh_Hans="无")), - ToolCredentialsOption(value="api_key", label=I18nObject(en_US="Api Key", zh_Hans="Api Key")), + ProviderConfig.Option(value="none", label=I18nObject(en_US="None", zh_Hans="无")), + ProviderConfig.Option(value="api_key", label=I18nObject(en_US="Api Key", zh_Hans="Api Key")), ], placeholder=I18nObject(en_US="Select auth type", zh_Hans="选择认证方式"), ), - ToolProviderCredentials( + ProviderConfig( name="api_key_header", - type=ToolProviderCredentials.CredentialsType.TEXT_INPUT, + type=ProviderConfig.Type.TEXT_INPUT, required=False, placeholder=I18nObject(en_US="Enter api key header", zh_Hans="输入 api key header，如：X-API-KEY"), default="api_key", help=I18nObject(en_US="HTTP header name for api key", zh_Hans="HTTP 头部字段名，用于传递 api key"), ), - ToolProviderCredentials( + ProviderConfig( name="api_key_value", - type=ToolProviderCredentials.CredentialsType.TEXT_INPUT, + type=ProviderConfig.Type.TEXT_INPUT, required=False, placeholder=I18nObject(en_US="Enter api key", zh_Hans="输入 api key"), default="", @@ -84,17 +84,14 @@ def parser_api_schema(schema: str) -> Mapping[str, Any]: raise ValueError(f"invalid schema: {str(e)}") @staticmethod - def convert_schema_to_tool_bundles( - schema: str, extra_info: Optional[dict] = None - ) -> tuple[list[ApiToolBundle], str]: + def convert_schema_to_tool_bundles(schema: str, extra_info: dict | None = None) -> tuple[list[ApiToolBundle], str]: """ convert schema to tool bundles :return: the list of tool bundles, description """ try: - tool_bundles = ApiBasedToolSchemaParser.auto_parse_to_tool_bundle(schema, extra_info=extra_info) - return tool_bundles + return ApiBasedToolSchemaParser.auto_parse_to_tool_bundle(schema, extra_info=extra_info) except Exception as e: raise ValueError(f"invalid schema: {str(e)}") @@ -167,8 +164,14 @@ def create_api_tool_provider( provider_controller.load_bundled_tools(tool_bundles) # encrypt credentials - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) - encrypted_credentials = tool_configuration.encrypt_tool_credentials(credentials) + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=list(provider_controller.get_credentials_schema()), + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) + + encrypted_credentials = tool_configuration.encrypt(credentials) db_provider.credentials_str = json.dumps(encrypted_credentials) db.session.add(db_provider) @@ -198,18 +201,18 @@ def get_api_tool_provider_remote_schema(user_id: str, tenant_id: str, url: str): # try to parse schema, avoid SSRF attack ApiToolManageService.parser_api_schema(schema) - except Exception as e: + except Exception: logger.exception("parse api schema error") raise ValueError("invalid schema, please check the url you provided") return {"schema": schema} @staticmethod - def list_api_tool_provider_tools(user_id: str, tenant_id: str, provider_name: str) -> list[UserTool]: + def list_api_tool_provider_tools(user_id: str, tenant_id: str, provider_name: str) -> list[ToolApiEntity]: """ list api tool provider tools """ - provider = ( + provider: ApiToolProvider | None = ( db.session.query(ApiToolProvider) .filter( ApiToolProvider.tenant_id == tenant_id, @@ -225,8 +228,9 @@ def list_api_tool_provider_tools(user_id: str, tenant_id: str, provider_name: st labels = ToolLabelManager.get_tool_labels(controller) return [ - ToolTransformService.tool_to_user_tool( + ToolTransformService.convert_tool_entity_to_api_entity( tool_bundle, + tenant_id=tenant_id, labels=labels, ) for tool_bundle in provider.tools @@ -293,16 +297,21 @@ def update_api_tool_provider( provider_controller.load_bundled_tools(tool_bundles) # get original credentials if exists - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=list(provider_controller.get_credentials_schema()), + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) - original_credentials = tool_configuration.decrypt_tool_credentials(provider.credentials) + original_credentials = tool_configuration.decrypt(provider.credentials) masked_credentials = tool_configuration.mask_tool_credentials(original_credentials) # check if the credential has changed, save the original credential for name, value in credentials.items(): if name in masked_credentials and value == masked_credentials[name]: credentials[name] = original_credentials[name] - credentials = tool_configuration.encrypt_tool_credentials(credentials) + credentials = tool_configuration.encrypt(credentials) provider.credentials_str = json.dumps(credentials) db.session.add(provider) @@ -363,7 +372,7 @@ def test_api_tool_preview( try: tool_bundles, _ = ApiBasedToolSchemaParser.auto_parse_to_tool_bundle(schema) - except Exception as e: + except Exception: raise ValueError("invalid schema") # get tool bundle @@ -407,8 +416,13 @@ def test_api_tool_preview( # decrypt credentials if db_provider.id: - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) - decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials) + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=list(provider_controller.get_credentials_schema()), + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) + decrypted_credentials = tool_configuration.decrypt(credentials) # check if the credential has changed, save the original credential masked_credentials = tool_configuration.mask_tool_credentials(decrypted_credentials) for name, value in credentials.items(): @@ -419,20 +433,20 @@ def test_api_tool_preview( provider_controller.validate_credentials_format(credentials) # get tool tool = provider_controller.get_tool(tool_name) - runtime_tool = tool.fork_tool_runtime( - runtime={ - "credentials": credentials, - "tenant_id": tenant_id, - } + tool = tool.fork_tool_runtime( + runtime=ToolRuntime( + credentials=credentials, + tenant_id=tenant_id, + ) ) - result = runtime_tool.validate_credentials(credentials, parameters) + result = tool.validate_credentials(credentials, parameters) except Exception as e: return {"error": str(e)} return {"result": result or "empty response"} @staticmethod - def list_api_tools(user_id: str, tenant_id: str) -> list[UserToolProvider]: + def list_api_tools(user_id: str, tenant_id: str) -> list[ToolProviderApiEntity]: """ list api tools """ @@ -441,7 +455,7 @@ def list_api_tools(user_id: str, tenant_id: str) -> list[UserToolProvider]: db.session.query(ApiToolProvider).filter(ApiToolProvider.tenant_id == tenant_id).all() or [] ) - result: list[UserToolProvider] = [] + result: list[ToolProviderApiEntity] = [] for provider in db_providers: # convert provider controller to user provider @@ -453,13 +467,13 @@ def list_api_tools(user_id: str, tenant_id: str) -> list[UserToolProvider]: user_provider.labels = labels # add icon - ToolTransformService.repack_provider(user_provider) + ToolTransformService.repack_provider(tenant_id=tenant_id, provider=user_provider) - tools = provider_controller.get_tools(user_id=user_id, tenant_id=tenant_id) + tools = provider_controller.get_tools(tenant_id=tenant_id) for tool in tools or []: user_provider.tools.append( - ToolTransformService.tool_to_user_tool( + ToolTransformService.convert_tool_entity_to_api_entity( tenant_id=tenant_id, tool=tool, credentials=user_provider.original_credentials, labels=labels ) ) diff --git a/api/services/tools/builtin_tools_manage_service.py b/api/services/tools/builtin_tools_manage_service.py index 21adbb0074724e..5865aaf77a05f0 100644 --- a/api/services/tools/builtin_tools_manage_service.py +++ b/api/services/tools/builtin_tools_manage_service.py @@ -2,19 +2,19 @@ import logging from pathlib import Path -from sqlalchemy import select from sqlalchemy.orm import Session from configs import dify_config from core.helper.position_helper import is_filtered from core.model_runtime.utils.encoders import jsonable_encoder -from core.tools.entities.api_entities import UserTool, UserToolProvider +from core.plugin.entities.plugin import GenericProviderID, ToolProviderID +from core.plugin.manager.exc import PluginDaemonClientSideError +from core.tools.builtin_tool.providers._positions import BuiltinToolProviderSort +from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity from core.tools.errors import ToolNotFoundError, ToolProviderCredentialValidationError, ToolProviderNotFoundError -from core.tools.provider.builtin._positions import BuiltinToolProviderSort -from core.tools.provider.tool_provider import ToolProviderController from core.tools.tool_label_manager import ToolLabelManager from core.tools.tool_manager import ToolManager -from core.tools.utils.configuration import ToolConfigurationManager +from core.tools.utils.configuration import ProviderConfigEncrypter from extensions.ext_database import db from models.tools import BuiltinToolProvider from services.tools.tools_transform_service import ToolTransformService @@ -24,36 +24,38 @@ class BuiltinToolManageService: @staticmethod - def list_builtin_tool_provider_tools(user_id: str, tenant_id: str, provider: str) -> list[UserTool]: + def list_builtin_tool_provider_tools(tenant_id: str, provider: str) -> list[ToolApiEntity]: """ list builtin tool provider tools + + :param user_id: the id of the user + :param tenant_id: the id of the tenant + :param provider: the name of the provider + + :return: the list of tools """ - provider_controller: ToolProviderController = ToolManager.get_builtin_provider(provider) + provider_controller = ToolManager.get_builtin_provider(provider, tenant_id) tools = provider_controller.get_tools() - tool_provider_configurations = ToolConfigurationManager( - tenant_id=tenant_id, provider_controller=provider_controller + tool_provider_configurations = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, ) # check if user has added the provider - builtin_provider = ( - db.session.query(BuiltinToolProvider) - .filter( - BuiltinToolProvider.tenant_id == tenant_id, - BuiltinToolProvider.provider == provider, - ) - .first() - ) + builtin_provider = BuiltinToolManageService._fetch_builtin_provider(provider, tenant_id) credentials = {} if builtin_provider is not None: # get credentials credentials = builtin_provider.credentials - credentials = tool_provider_configurations.decrypt_tool_credentials(credentials) + credentials = tool_provider_configurations.decrypt(credentials) - result: list[UserTool] = [] + result: list[ToolApiEntity] = [] for tool in tools or []: result.append( - ToolTransformService.tool_to_user_tool( + ToolTransformService.convert_tool_entity_to_api_entity( tool=tool, credentials=credentials, tenant_id=tenant_id, @@ -64,14 +66,47 @@ def list_builtin_tool_provider_tools(user_id: str, tenant_id: str, provider: str return result @staticmethod - def list_builtin_provider_credentials_schema(provider_name): + def get_builtin_tool_provider_info(user_id: str, tenant_id: str, provider: str): + """ + get builtin tool provider info + """ + provider_controller = ToolManager.get_builtin_provider(provider, tenant_id) + tool_provider_configurations = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) + # check if user has added the provider + builtin_provider = BuiltinToolManageService._fetch_builtin_provider(provider, tenant_id) + + credentials = {} + if builtin_provider is not None: + # get credentials + credentials = builtin_provider.credentials + credentials = tool_provider_configurations.decrypt(credentials) + + entity = ToolTransformService.builtin_provider_to_user_provider( + provider_controller=provider_controller, + db_provider=builtin_provider, + decrypt_credentials=True, + ) + + entity.original_credentials = {} + + return entity + + @staticmethod + def list_builtin_provider_credentials_schema(provider_name: str, tenant_id: str): """ list builtin provider credentials schema + :param provider_name: the name of the provider + :param tenant_id: the id of the tenant :return: the list of tool providers """ - provider = ToolManager.get_builtin_provider(provider_name) - return jsonable_encoder([v for _, v in (provider.credentials_schema or {}).items()]) + provider = ToolManager.get_builtin_provider(provider_name, tenant_id) + return jsonable_encoder(provider.get_credentials_schema()) @staticmethod def update_builtin_tool_provider( @@ -81,31 +116,38 @@ def update_builtin_tool_provider( update builtin tool provider """ # get if the provider exists - stmt = select(BuiltinToolProvider).where( - BuiltinToolProvider.tenant_id == tenant_id, - BuiltinToolProvider.provider == provider_name, - ) - provider = session.scalar(stmt) + provider = BuiltinToolManageService._fetch_builtin_provider(provider_name, tenant_id) try: # get provider - provider_controller = ToolManager.get_builtin_provider(provider_name) + provider_controller = ToolManager.get_builtin_provider(provider_name, tenant_id) if not provider_controller.need_credentials: raise ValueError(f"provider {provider_name} does not need credentials") - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) + # get original credentials if exists if provider is not None: - original_credentials = tool_configuration.decrypt_tool_credentials(provider.credentials) + original_credentials = tool_configuration.decrypt(provider.credentials) masked_credentials = tool_configuration.mask_tool_credentials(original_credentials) # check if the credential has changed, save the original credential for name, value in credentials.items(): if name in masked_credentials and value == masked_credentials[name]: credentials[name] = original_credentials[name] # validate credentials - provider_controller.validate_credentials(credentials) + provider_controller.validate_credentials(user_id, credentials) # encrypt credentials - credentials = tool_configuration.encrypt_tool_credentials(credentials) - except (ToolProviderNotFoundError, ToolNotFoundError, ToolProviderCredentialValidationError) as e: + credentials = tool_configuration.encrypt(credentials) + except ( + PluginDaemonClientSideError, + ToolProviderNotFoundError, + ToolNotFoundError, + ToolProviderCredentialValidationError, + ) as e: raise ValueError(str(e)) if provider is None: @@ -117,14 +159,14 @@ def update_builtin_tool_provider( encrypted_credentials=json.dumps(credentials), ) - session.add(provider) - + db.session.add(provider) else: provider.encrypted_credentials = json.dumps(credentials) # delete cache tool_configuration.delete_tool_credentials_cache() + db.session.commit() return {"result": "success"} @staticmethod @@ -132,21 +174,19 @@ def get_builtin_tool_provider_credentials(tenant_id: str, provider_name: str): """ get builtin tool provider credentials """ - provider = ( - db.session.query(BuiltinToolProvider) - .filter( - BuiltinToolProvider.tenant_id == tenant_id, - BuiltinToolProvider.provider == provider_name, - ) - .first() - ) + provider_obj = BuiltinToolManageService._fetch_builtin_provider(provider_name, tenant_id) - if provider is None: + if provider_obj is None: return {} - provider_controller = ToolManager.get_builtin_provider(provider.provider) - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) - credentials = tool_configuration.decrypt_tool_credentials(provider.credentials) + provider_controller = ToolManager.get_builtin_provider(provider_obj.provider, tenant_id) + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) + credentials = tool_configuration.decrypt(provider_obj.credentials) credentials = tool_configuration.mask_tool_credentials(credentials) return credentials @@ -155,24 +195,22 @@ def delete_builtin_tool_provider(user_id: str, tenant_id: str, provider_name: st """ delete tool provider """ - provider = ( - db.session.query(BuiltinToolProvider) - .filter( - BuiltinToolProvider.tenant_id == tenant_id, - BuiltinToolProvider.provider == provider_name, - ) - .first() - ) + provider_obj = BuiltinToolManageService._fetch_builtin_provider(provider_name, tenant_id) - if provider is None: + if provider_obj is None: raise ValueError(f"you have not added provider {provider_name}") - db.session.delete(provider) + db.session.delete(provider_obj) db.session.commit() # delete cache - provider_controller = ToolManager.get_builtin_provider(provider_name) - tool_configuration = ToolConfigurationManager(tenant_id=tenant_id, provider_controller=provider_controller) + provider_controller = ToolManager.get_builtin_provider(provider_name, tenant_id) + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) tool_configuration.delete_tool_credentials_cache() return {"result": "success"} @@ -182,58 +220,59 @@ def get_builtin_tool_provider_icon(provider: str): """ get tool provider icon and it's mimetype """ - icon_path, mime_type = ToolManager.get_builtin_provider_icon(provider) + icon_path, mime_type = ToolManager.get_hardcoded_provider_icon(provider) icon_bytes = Path(icon_path).read_bytes() return icon_bytes, mime_type @staticmethod - def list_builtin_tools(user_id: str, tenant_id: str) -> list[UserToolProvider]: + def list_builtin_tools(user_id: str, tenant_id: str) -> list[ToolProviderApiEntity]: """ list builtin tools """ # get all builtin providers - provider_controllers = ToolManager.list_builtin_providers() + provider_controllers = ToolManager.list_builtin_providers(tenant_id) # get all user added providers db_providers: list[BuiltinToolProvider] = ( db.session.query(BuiltinToolProvider).filter(BuiltinToolProvider.tenant_id == tenant_id).all() or [] ) + # rewrite db_providers + for db_provider in db_providers: + db_provider.provider = str(ToolProviderID(db_provider.provider)) + # find provider - find_provider = lambda provider: next( - filter(lambda db_provider: db_provider.provider == provider, db_providers), None - ) + def find_provider(provider): + return next(filter(lambda db_provider: db_provider.provider == provider, db_providers), None) - result: list[UserToolProvider] = [] + result: list[ToolProviderApiEntity] = [] for provider_controller in provider_controllers: try: # handle include, exclude if is_filtered( - include_set=dify_config.POSITION_TOOL_INCLUDES_SET, - exclude_set=dify_config.POSITION_TOOL_EXCLUDES_SET, + include_set=dify_config.POSITION_TOOL_INCLUDES_SET, # type: ignore + exclude_set=dify_config.POSITION_TOOL_EXCLUDES_SET, # type: ignore data=provider_controller, name_func=lambda x: x.identity.name, ): continue - if provider_controller.identity is None: - continue # convert provider controller to user provider user_builtin_provider = ToolTransformService.builtin_provider_to_user_provider( provider_controller=provider_controller, - db_provider=find_provider(provider_controller.identity.name), + db_provider=find_provider(provider_controller.entity.identity.name), decrypt_credentials=True, ) # add icon - ToolTransformService.repack_provider(user_builtin_provider) + ToolTransformService.repack_provider(tenant_id=tenant_id, provider=user_builtin_provider) tools = provider_controller.get_tools() for tool in tools or []: user_builtin_provider.tools.append( - ToolTransformService.tool_to_user_tool( + ToolTransformService.convert_tool_entity_to_api_entity( tenant_id=tenant_id, tool=tool, credentials=user_builtin_provider.original_credentials, @@ -246,3 +285,45 @@ def list_builtin_tools(user_id: str, tenant_id: str) -> list[UserToolProvider]: raise e return BuiltinToolProviderSort.sort(result) + + @staticmethod + def _fetch_builtin_provider(provider_name: str, tenant_id: str) -> BuiltinToolProvider | None: + try: + full_provider_name = provider_name + provider_id_entity = GenericProviderID(provider_name) + provider_name = provider_id_entity.provider_name + if provider_id_entity.organization != "langgenius": + provider_obj = ( + db.session.query(BuiltinToolProvider) + .filter( + BuiltinToolProvider.tenant_id == tenant_id, + BuiltinToolProvider.provider == full_provider_name, + ) + .first() + ) + else: + provider_obj = ( + db.session.query(BuiltinToolProvider) + .filter( + BuiltinToolProvider.tenant_id == tenant_id, + (BuiltinToolProvider.provider == provider_name) + | (BuiltinToolProvider.provider == full_provider_name), + ) + .first() + ) + + if provider_obj is None: + return None + + provider_obj.provider = GenericProviderID(provider_obj.provider).to_string() + return provider_obj + except Exception: + # it's an old provider without organization + return ( + db.session.query(BuiltinToolProvider) + .filter( + BuiltinToolProvider.tenant_id == tenant_id, + (BuiltinToolProvider.provider == provider_name), + ) + .first() + ) diff --git a/api/services/tools/tools_manage_service.py b/api/services/tools/tools_manage_service.py index 1c67f7648ca99f..59d5b50e23200a 100644 --- a/api/services/tools/tools_manage_service.py +++ b/api/services/tools/tools_manage_service.py @@ -1,6 +1,6 @@ import logging -from core.tools.entities.api_entities import UserToolProviderTypeLiteral +from core.tools.entities.api_entities import ToolProviderTypeApiLiteral from core.tools.tool_manager import ToolManager from services.tools.tools_transform_service import ToolTransformService @@ -9,17 +9,17 @@ class ToolCommonService: @staticmethod - def list_tool_providers(user_id: str, tenant_id: str, typ: UserToolProviderTypeLiteral = None): + def list_tool_providers(user_id: str, tenant_id: str, typ: ToolProviderTypeApiLiteral = None): """ list tool providers :return: the list of tool providers """ - providers = ToolManager.user_list_providers(user_id, tenant_id, typ) + providers = ToolManager.list_providers_from_api(user_id, tenant_id, typ) # add icon for provider in providers: - ToolTransformService.repack_provider(provider) + ToolTransformService.repack_provider(tenant_id=tenant_id, provider=provider) result = [provider.to_dict() for provider in providers] diff --git a/api/services/tools/tools_transform_service.py b/api/services/tools/tools_transform_service.py index 6e3a45be0da1c4..83a42ddfcbcab3 100644 --- a/api/services/tools/tools_transform_service.py +++ b/api/services/tools/tools_transform_service.py @@ -2,47 +2,57 @@ import logging from typing import Optional, Union, cast +from yarl import URL + from configs import dify_config -from core.tools.entities.api_entities import UserTool, UserToolProvider +from core.tools.__base.tool import Tool +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.builtin_tool.provider import BuiltinToolProviderController +from core.tools.custom_tool.provider import ApiToolProviderController +from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_bundle import ApiToolBundle from core.tools.entities.tool_entities import ( ApiProviderAuthType, ToolParameter, - ToolProviderCredentials, ToolProviderType, ) -from core.tools.provider.api_tool_provider import ApiToolProviderController -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController -from core.tools.tool.tool import Tool -from core.tools.tool.workflow_tool import WorkflowTool -from core.tools.utils.configuration import ToolConfigurationManager +from core.tools.plugin_tool.provider import PluginToolProviderController +from core.tools.utils.configuration import ProviderConfigEncrypter +from core.tools.workflow_as_tool.provider import WorkflowToolProviderController +from core.tools.workflow_as_tool.tool import WorkflowTool from models.tools import ApiToolProvider, BuiltinToolProvider, WorkflowToolProvider logger = logging.getLogger(__name__) class ToolTransformService: - @staticmethod - def get_tool_provider_icon_url(provider_type: str, provider_name: str, icon: str) -> Union[str, dict]: + @classmethod + def get_plugin_icon_url(cls, tenant_id: str, filename: str) -> str: + url_prefix = URL(dify_config.CONSOLE_API_URL) / "console" / "api" / "workspaces" / "current" / "plugin" / "icon" + return str(url_prefix % {"tenant_id": tenant_id, "filename": filename}) + + @classmethod + def get_tool_provider_icon_url(cls, provider_type: str, provider_name: str, icon: str | dict) -> Union[str, dict]: """ get tool provider icon url """ - url_prefix = dify_config.CONSOLE_API_URL + "/console/api/workspaces/current/tool-provider/" + url_prefix = URL(dify_config.CONSOLE_API_URL) / "console" / "api" / "workspaces" / "current" / "tool-provider" if provider_type == ToolProviderType.BUILT_IN.value: - return url_prefix + "builtin/" + provider_name + "/icon" + return str(url_prefix / "builtin" / provider_name / "icon") elif provider_type in {ToolProviderType.API.value, ToolProviderType.WORKFLOW.value}: try: - return cast(dict, json.loads(icon)) - except: + if isinstance(icon, str): + return cast(dict, json.loads(icon)) + return icon + except Exception: return {"background": "#252525", "content": "\ud83d\ude01"} return "" @staticmethod - def repack_provider(provider: Union[dict, UserToolProvider]): + def repack_provider(tenant_id: str, provider: Union[dict, ToolProviderApiEntity]): """ repack provider @@ -52,55 +62,52 @@ def repack_provider(provider: Union[dict, UserToolProvider]): provider["icon"] = ToolTransformService.get_tool_provider_icon_url( provider_type=provider["type"], provider_name=provider["name"], icon=provider["icon"] ) - elif isinstance(provider, UserToolProvider): - provider.icon = cast( - str, - ToolTransformService.get_tool_provider_icon_url( + elif isinstance(provider, ToolProviderApiEntity): + if provider.plugin_id: + if isinstance(provider.icon, str): + provider.icon = ToolTransformService.get_plugin_icon_url( + tenant_id=tenant_id, filename=provider.icon + ) + else: + provider.icon = ToolTransformService.get_tool_provider_icon_url( provider_type=provider.type.value, provider_name=provider.name, icon=provider.icon - ), - ) + ) - @staticmethod + @classmethod def builtin_provider_to_user_provider( - provider_controller: BuiltinToolProviderController, + cls, + provider_controller: BuiltinToolProviderController | PluginToolProviderController, db_provider: Optional[BuiltinToolProvider], decrypt_credentials: bool = True, - ) -> UserToolProvider: + ) -> ToolProviderApiEntity: """ convert provider controller to user provider """ - if provider_controller.identity is None: - raise ValueError("provider identity is None") - - result = UserToolProvider( - id=provider_controller.identity.name, - author=provider_controller.identity.author, - name=provider_controller.identity.name, - description=I18nObject( - en_US=provider_controller.identity.description.en_US, - zh_Hans=provider_controller.identity.description.zh_Hans, - pt_BR=provider_controller.identity.description.pt_BR, - ja_JP=provider_controller.identity.description.ja_JP, - ), - icon=provider_controller.identity.icon, - label=I18nObject( - en_US=provider_controller.identity.label.en_US, - zh_Hans=provider_controller.identity.label.zh_Hans, - pt_BR=provider_controller.identity.label.pt_BR, - ja_JP=provider_controller.identity.label.ja_JP, - ), + result = ToolProviderApiEntity( + id=provider_controller.entity.identity.name, + author=provider_controller.entity.identity.author, + name=provider_controller.entity.identity.name, + description=provider_controller.entity.identity.description, + icon=provider_controller.entity.identity.icon, + label=provider_controller.entity.identity.label, type=ToolProviderType.BUILT_IN, masked_credentials={}, is_team_authorization=False, + plugin_id=None, tools=[], labels=provider_controller.tool_labels, ) + if isinstance(provider_controller, PluginToolProviderController): + result.plugin_id = provider_controller.plugin_id + result.plugin_unique_identifier = provider_controller.plugin_unique_identifier + # get credentials schema - schema = provider_controller.get_credentials_schema() + schema = {x.to_basic_provider_config().name: x for x in provider_controller.get_credentials_schema()} + for name, value in schema.items(): - assert result.masked_credentials is not None, "masked credentials is None" - result.masked_credentials[name] = ToolProviderCredentials.CredentialsType.default(str(value.type)) + if result.masked_credentials: + result.masked_credentials[name] = "" # check if the provider need credentials if not provider_controller.need_credentials: @@ -113,12 +120,15 @@ def builtin_provider_to_user_provider( credentials = db_provider.credentials # init tool configuration - tool_configuration = ToolConfigurationManager( - tenant_id=db_provider.tenant_id, provider_controller=provider_controller + tool_configuration = ProviderConfigEncrypter( + tenant_id=db_provider.tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, ) # decrypt the credentials and mask the credentials - decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials=credentials) - masked_credentials = tool_configuration.mask_tool_credentials(credentials=decrypted_credentials) + decrypted_credentials = tool_configuration.decrypt(data=credentials) + masked_credentials = tool_configuration.mask_tool_credentials(data=decrypted_credentials) result.masked_credentials = masked_credentials result.original_credentials = decrypted_credentials @@ -151,41 +161,35 @@ def workflow_provider_to_controller(db_provider: WorkflowToolProvider) -> Workfl @staticmethod def workflow_provider_to_user_provider( - provider_controller: WorkflowToolProviderController, labels: Optional[list[str]] = None + provider_controller: WorkflowToolProviderController, labels: list[str] | None = None ): """ convert provider controller to user provider """ - if provider_controller.identity is None: - raise ValueError("provider identity is None") - - return UserToolProvider( + return ToolProviderApiEntity( id=provider_controller.provider_id, - author=provider_controller.identity.author, - name=provider_controller.identity.name, - description=I18nObject( - en_US=provider_controller.identity.description.en_US, - zh_Hans=provider_controller.identity.description.zh_Hans, - ), - icon=provider_controller.identity.icon, - label=I18nObject( - en_US=provider_controller.identity.label.en_US, - zh_Hans=provider_controller.identity.label.zh_Hans, - ), + author=provider_controller.entity.identity.author, + name=provider_controller.entity.identity.name, + description=provider_controller.entity.identity.description, + icon=provider_controller.entity.identity.icon, + label=provider_controller.entity.identity.label, type=ToolProviderType.WORKFLOW, masked_credentials={}, is_team_authorization=True, + plugin_id=None, + plugin_unique_identifier=None, tools=[], labels=labels or [], ) - @staticmethod + @classmethod def api_provider_to_user_provider( + cls, provider_controller: ApiToolProviderController, db_provider: ApiToolProvider, decrypt_credentials: bool = True, - labels: Optional[list[str]] = None, - ) -> UserToolProvider: + labels: list[str] | None = None, + ) -> ToolProviderApiEntity: """ convert provider controller to user provider """ @@ -193,12 +197,16 @@ def api_provider_to_user_provider( if db_provider.user is None: raise ValueError(f"user is None for api provider {db_provider.id}") try: - username = db_provider.user.name - except Exception as e: + user = db_provider.user + if not user: + raise ValueError("user not found") + + username = user.name + except Exception: logger.exception(f"failed to get user name for api provider {db_provider.id}") # add provider into providers credentials = db_provider.credentials - result = UserToolProvider( + result = ToolProviderApiEntity( id=db_provider.id, author=username, name=db_provider.name, @@ -212,6 +220,8 @@ def api_provider_to_user_provider( zh_Hans=db_provider.name, ), type=ToolProviderType.API, + plugin_id=None, + plugin_unique_identifier=None, masked_credentials={}, is_team_authorization=True, tools=[], @@ -220,39 +230,42 @@ def api_provider_to_user_provider( if decrypt_credentials: # init tool configuration - tool_configuration = ToolConfigurationManager( - tenant_id=db_provider.tenant_id, provider_controller=provider_controller + tool_configuration = ProviderConfigEncrypter( + tenant_id=db_provider.tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, ) # decrypt the credentials and mask the credentials - decrypted_credentials = tool_configuration.decrypt_tool_credentials(credentials=credentials) - masked_credentials = tool_configuration.mask_tool_credentials(credentials=decrypted_credentials) + decrypted_credentials = tool_configuration.decrypt(data=credentials) + masked_credentials = tool_configuration.mask_tool_credentials(data=decrypted_credentials) result.masked_credentials = masked_credentials return result @staticmethod - def tool_to_user_tool( + def convert_tool_entity_to_api_entity( tool: Union[ApiToolBundle, WorkflowTool, Tool], - credentials: Optional[dict] = None, - tenant_id: Optional[str] = None, - labels: Optional[list[str]] = None, - ) -> UserTool: + tenant_id: str, + credentials: dict | None = None, + labels: list[str] | None = None, + ) -> ToolApiEntity: """ convert tool to user tool """ if isinstance(tool, Tool): # fork tool runtime tool = tool.fork_tool_runtime( - runtime={ - "credentials": credentials, - "tenant_id": tenant_id, - } + runtime=ToolRuntime( + credentials=credentials or {}, + tenant_id=tenant_id, + ) ) # get tool parameters - parameters = tool.parameters or [] + parameters = tool.entity.parameters or [] # get tool runtime parameters runtime_parameters = tool.get_runtime_parameters() # override parameters @@ -268,23 +281,21 @@ def tool_to_user_tool( if not found and runtime_parameter.form == ToolParameter.ToolParameterForm.FORM: current_parameters.append(runtime_parameter) - if tool.identity is None: - raise ValueError("tool identity is None") - - return UserTool( - author=tool.identity.author, - name=tool.identity.name, - label=tool.identity.label, - description=tool.description.human if tool.description else "", # type: ignore + return ToolApiEntity( + author=tool.entity.identity.author, + name=tool.entity.identity.name, + label=tool.entity.identity.label, + description=tool.entity.description.human if tool.entity.description else I18nObject(en_US=""), + output_schema=tool.entity.output_schema, parameters=current_parameters, - labels=labels, + labels=labels or [], ) if isinstance(tool, ApiToolBundle): - return UserTool( + return ToolApiEntity( author=tool.author, name=tool.operation_id or "", - label=I18nObject(en_US=tool.operation_id or "", zh_Hans=tool.operation_id or ""), + label=I18nObject(en_US=tool.operation_id, zh_Hans=tool.operation_id), description=I18nObject(en_US=tool.summary or "", zh_Hans=tool.summary or ""), parameters=tool.parameters, - labels=labels, + labels=labels or [], ) diff --git a/api/services/tools/workflow_tools_manage_service.py b/api/services/tools/workflow_tools_manage_service.py index 69430de432b143..e486ed7b8c53f2 100644 --- a/api/services/tools/workflow_tools_manage_service.py +++ b/api/services/tools/workflow_tools_manage_service.py @@ -1,17 +1,17 @@ import json from collections.abc import Mapping from datetime import datetime -from typing import Any, Optional +from typing import Any from sqlalchemy import or_ from core.model_runtime.utils.encoders import jsonable_encoder -from core.tools.entities.api_entities import UserTool, UserToolProvider -from core.tools.provider.tool_provider import ToolProviderController -from core.tools.provider.workflow_tool_provider import WorkflowToolProviderController -from core.tools.tool.tool import Tool +from core.tools.__base.tool_provider import ToolProviderController +from core.tools.entities.api_entities import ToolApiEntity, ToolProviderApiEntity from core.tools.tool_label_manager import ToolLabelManager from core.tools.utils.workflow_configuration_sync import WorkflowToolConfigurationUtils +from core.tools.workflow_as_tool.provider import WorkflowToolProviderController +from core.tools.workflow_as_tool.tool import WorkflowTool from extensions.ext_database import db from models.model import App from models.tools import WorkflowToolProvider @@ -36,7 +36,7 @@ def create_workflow_tool( description: str, parameters: list[Mapping[str, Any]], privacy_policy: str = "", - labels: Optional[list[str]] = None, + labels: list[str] | None = None, ) -> dict: WorkflowToolConfigurationUtils.check_parameter_configurations(parameters) @@ -54,11 +54,12 @@ def create_workflow_tool( if existing_workflow_tool_provider is not None: raise ValueError(f"Tool with name {name} or app_id {workflow_app_id} already exists") - app = db.session.query(App).filter(App.id == workflow_app_id, App.tenant_id == tenant_id).first() + app: App | None = db.session.query(App).filter(App.id == workflow_app_id, App.tenant_id == tenant_id).first() + if app is None: raise ValueError(f"App {workflow_app_id} not found") - workflow = app.workflow + workflow: Workflow | None = app.workflow if workflow is None: raise ValueError(f"Workflow not found for app {workflow_app_id}") @@ -101,7 +102,7 @@ def update_workflow_tool( description: str, parameters: list[Mapping[str, Any]], privacy_policy: str = "", - labels: Optional[list[str]] = None, + labels: list[str] | None = None, ) -> dict: """ Update a workflow tool. @@ -133,7 +134,7 @@ def update_workflow_tool( if existing_workflow_tool_provider is not None: raise ValueError(f"Tool with name {name} already exists") - workflow_tool_provider: Optional[WorkflowToolProvider] = ( + workflow_tool_provider: WorkflowToolProvider | None = ( db.session.query(WorkflowToolProvider) .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == workflow_tool_id) .first() @@ -142,14 +143,14 @@ def update_workflow_tool( if workflow_tool_provider is None: raise ValueError(f"Tool {workflow_tool_id} not found") - app: Optional[App] = ( + app: App | None = ( db.session.query(App).filter(App.id == workflow_tool_provider.app_id, App.tenant_id == tenant_id).first() ) if app is None: raise ValueError(f"App {workflow_tool_provider.app_id} not found") - workflow: Optional[Workflow] = app.workflow + workflow: Workflow | None = app.workflow if workflow is None: raise ValueError(f"Workflow not found for app {workflow_tool_provider.app_id}") @@ -178,7 +179,7 @@ def update_workflow_tool( return {"result": "success"} @classmethod - def list_tenant_workflow_tools(cls, user_id: str, tenant_id: str) -> list[UserToolProvider]: + def list_tenant_workflow_tools(cls, user_id: str, tenant_id: str) -> list[ToolProviderApiEntity]: """ List workflow tools. :param user_id: the user id @@ -187,11 +188,11 @@ def list_tenant_workflow_tools(cls, user_id: str, tenant_id: str) -> list[UserTo """ db_tools = db.session.query(WorkflowToolProvider).filter(WorkflowToolProvider.tenant_id == tenant_id).all() - tools = [] + tools: list[WorkflowToolProviderController] = [] for provider in db_tools: try: tools.append(ToolTransformService.workflow_provider_to_controller(provider)) - except: + except Exception: # skip deleted tools pass @@ -203,12 +204,13 @@ def list_tenant_workflow_tools(cls, user_id: str, tenant_id: str) -> list[UserTo user_tool_provider = ToolTransformService.workflow_provider_to_user_provider( provider_controller=tool, labels=labels.get(tool.provider_id, []) ) - ToolTransformService.repack_provider(user_tool_provider) - to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id) - if to_user_tool is None or len(to_user_tool) == 0: - continue + ToolTransformService.repack_provider(tenant_id=tenant_id, provider=user_tool_provider) user_tool_provider.tools = [ - ToolTransformService.tool_to_user_tool(to_user_tool[0], labels=labels.get(tool.provider_id, [])) + ToolTransformService.convert_tool_entity_to_api_entity( + tool=tool.get_tools(tenant_id)[0], + labels=labels.get(tool.provider_id, []), + tenant_id=tenant_id, + ) ] result.append(user_tool_provider) @@ -239,42 +241,12 @@ def get_workflow_tool_by_tool_id(cls, user_id: str, tenant_id: str, workflow_too :param workflow_app_id: the workflow app id :return: the tool """ - db_tool: Optional[WorkflowToolProvider] = ( + db_tool: WorkflowToolProvider | None = ( db.session.query(WorkflowToolProvider) .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == workflow_tool_id) .first() ) - - if db_tool is None: - raise ValueError(f"Tool {workflow_tool_id} not found") - - workflow_app: Optional[App] = ( - db.session.query(App).filter(App.id == db_tool.app_id, App.tenant_id == tenant_id).first() - ) - - if workflow_app is None: - raise ValueError(f"App {db_tool.app_id} not found") - - tool = ToolTransformService.workflow_provider_to_controller(db_tool) - - to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id) - if to_user_tool is None or len(to_user_tool) == 0: - raise ValueError(f"Tool {workflow_tool_id} not found") - - return { - "name": db_tool.name, - "label": db_tool.label, - "workflow_tool_id": db_tool.id, - "workflow_app_id": db_tool.app_id, - "icon": json.loads(db_tool.icon), - "description": db_tool.description, - "parameters": jsonable_encoder(db_tool.parameter_configurations), - "tool": ToolTransformService.tool_to_user_tool( - to_user_tool[0], labels=ToolLabelManager.get_tool_labels(tool) - ), - "synced": workflow_app.workflow.version == db_tool.version if workflow_app.workflow else False, - "privacy_policy": db_tool.privacy_policy, - } + return cls._get_workflow_tool(tenant_id, db_tool) @classmethod def get_workflow_tool_by_app_id(cls, user_id: str, tenant_id: str, workflow_app_id: str) -> dict: @@ -285,26 +257,38 @@ def get_workflow_tool_by_app_id(cls, user_id: str, tenant_id: str, workflow_app_ :param workflow_app_id: the workflow app id :return: the tool """ - db_tool: Optional[WorkflowToolProvider] = ( + db_tool: WorkflowToolProvider | None = ( db.session.query(WorkflowToolProvider) .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.app_id == workflow_app_id) .first() ) + return cls._get_workflow_tool(tenant_id, db_tool) + @classmethod + def _get_workflow_tool(cls, tenant_id: str, db_tool: WorkflowToolProvider | None) -> dict: + """ + Get a workflow tool. + :db_tool: the database tool + :return: the tool + """ if db_tool is None: - raise ValueError(f"Tool {workflow_app_id} not found") + raise ValueError("Tool not found") - workflow_app: Optional[App] = ( - db.session.query(App).filter(App.id == db_tool.app_id, App.tenant_id == tenant_id).first() + workflow_app: App | None = ( + db.session.query(App).filter(App.id == db_tool.app_id, App.tenant_id == db_tool.tenant_id).first() ) if workflow_app is None: raise ValueError(f"App {db_tool.app_id} not found") + workflow = workflow_app.workflow + if not workflow: + raise ValueError("Workflow not found") + tool = ToolTransformService.workflow_provider_to_controller(db_tool) - to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id) - if to_user_tool is None or len(to_user_tool) == 0: - raise ValueError(f"Tool {workflow_app_id} not found") + workflow_tools: list[WorkflowTool] = tool.get_tools(tenant_id) + if len(workflow_tools) == 0: + raise ValueError(f"Tool {db_tool.id} not found") return { "name": db_tool.name, @@ -314,15 +298,17 @@ def get_workflow_tool_by_app_id(cls, user_id: str, tenant_id: str, workflow_app_ "icon": json.loads(db_tool.icon), "description": db_tool.description, "parameters": jsonable_encoder(db_tool.parameter_configurations), - "tool": ToolTransformService.tool_to_user_tool( - to_user_tool[0], labels=ToolLabelManager.get_tool_labels(tool) + "tool": ToolTransformService.convert_tool_entity_to_api_entity( + tool=tool.get_tools(db_tool.tenant_id)[0], + labels=ToolLabelManager.get_tool_labels(tool), + tenant_id=tenant_id, ), - "synced": workflow_app.workflow.version == db_tool.version if workflow_app.workflow else False, + "synced": workflow.version == db_tool.version, "privacy_policy": db_tool.privacy_policy, } @classmethod - def list_single_workflow_tools(cls, user_id: str, tenant_id: str, workflow_tool_id: str) -> list[UserTool]: + def list_single_workflow_tools(cls, user_id: str, tenant_id: str, workflow_tool_id: str) -> list[ToolApiEntity]: """ List workflow tool provider tools. :param user_id: the user id @@ -330,7 +316,7 @@ def list_single_workflow_tools(cls, user_id: str, tenant_id: str, workflow_tool_ :param workflow_app_id: the workflow app id :return: the list of tools """ - db_tool: Optional[WorkflowToolProvider] = ( + db_tool: WorkflowToolProvider | None = ( db.session.query(WorkflowToolProvider) .filter(WorkflowToolProvider.tenant_id == tenant_id, WorkflowToolProvider.id == workflow_tool_id) .first() @@ -340,8 +326,14 @@ def list_single_workflow_tools(cls, user_id: str, tenant_id: str, workflow_tool_ raise ValueError(f"Tool {workflow_tool_id} not found") tool = ToolTransformService.workflow_provider_to_controller(db_tool) - to_user_tool: Optional[list[Tool]] = tool.get_tools(user_id, tenant_id) - if to_user_tool is None or len(to_user_tool) == 0: + workflow_tools: list[WorkflowTool] = tool.get_tools(tenant_id) + if len(workflow_tools) == 0: raise ValueError(f"Tool {workflow_tool_id} not found") - return [ToolTransformService.tool_to_user_tool(to_user_tool[0], labels=ToolLabelManager.get_tool_labels(tool))] + return [ + ToolTransformService.convert_tool_entity_to_api_entity( + tool=tool.get_tools(db_tool.tenant_id)[0], + labels=ToolLabelManager.get_tool_labels(tool), + tenant_id=tenant_id, + ) + ] diff --git a/api/services/workflow_run_service.py b/api/services/workflow_run_service.py index 4343596a236f5f..0ddd18ea27e004 100644 --- a/api/services/workflow_run_service.py +++ b/api/services/workflow_run_service.py @@ -1,5 +1,7 @@ +import threading from typing import Optional +import contexts from extensions.ext_database import db from libs.infinite_scroll_pagination import InfiniteScrollPagination from models.enums import WorkflowRunTriggeredFrom @@ -119,6 +121,9 @@ def get_workflow_run_node_executions(self, app_model: App, run_id: str) -> list[ """ workflow_run = self.get_workflow_run(app_model, run_id) + contexts.plugin_tool_providers.set({}) + contexts.plugin_tool_providers_lock.set(threading.Lock()) + if not workflow_run: return [] diff --git a/api/services/workflow_service.py b/api/services/workflow_service.py index 9f7a9c770d9306..8380e465998321 100644 --- a/api/services/workflow_service.py +++ b/api/services/workflow_service.py @@ -1,8 +1,8 @@ import json import time -from collections.abc import Sequence +from collections.abc import Callable, Generator, Sequence from datetime import UTC, datetime -from typing import Any, Optional, cast +from typing import Any, Optional from uuid import uuid4 from sqlalchemy import desc @@ -13,11 +13,12 @@ from core.variables import Variable from core.workflow.entities.node_entities import NodeRunResult from core.workflow.errors import WorkflowNodeRunFailedError +from core.workflow.graph_engine.entities.event import InNodeEvent from core.workflow.nodes import NodeType -from core.workflow.nodes.base.entities import BaseNodeData from core.workflow.nodes.base.node import BaseNode from core.workflow.nodes.enums import ErrorStrategy from core.workflow.nodes.event import RunCompletedEvent +from core.workflow.nodes.event.types import NodeEvent from core.workflow.nodes.node_mapping import LATEST_VERSION, NODE_TYPE_CLASSES_MAPPING from core.workflow.workflow_entry import WorkflowEntry from events.app_event import app_draft_workflow_was_synced, app_published_workflow_was_updated @@ -246,14 +247,69 @@ def run_draft_workflow_node( # run draft workflow node start_at = time.perf_counter() - try: - node_instance, generator = WorkflowEntry.single_step_run( + workflow_node_execution = self._handle_node_run_result( + getter=lambda: WorkflowEntry.single_step_run( workflow=draft_workflow, node_id=node_id, user_inputs=user_inputs, user_id=account.id, - ) - node_instance = cast(BaseNode[BaseNodeData], node_instance) + ), + start_at=start_at, + tenant_id=app_model.tenant_id, + node_id=node_id, + ) + + workflow_node_execution.app_id = app_model.id + workflow_node_execution.created_by = account.id + workflow_node_execution.workflow_id = draft_workflow.id + + db.session.add(workflow_node_execution) + db.session.commit() + + return workflow_node_execution + + def run_free_workflow_node( + self, node_data: dict, tenant_id: str, user_id: str, node_id: str, user_inputs: dict[str, Any] + ) -> WorkflowNodeExecution: + """ + Run draft workflow node + """ + # run draft workflow node + start_at = time.perf_counter() + + workflow_node_execution = self._handle_node_run_result( + getter=lambda: WorkflowEntry.run_free_node( + node_id=node_id, + node_data=node_data, + tenant_id=tenant_id, + user_id=user_id, + user_inputs=user_inputs, + ), + start_at=start_at, + tenant_id=tenant_id, + node_id=node_id, + ) + + return workflow_node_execution + + def _handle_node_run_result( + self, + getter: Callable[[], tuple[BaseNode, Generator[NodeEvent | InNodeEvent, None, None]]], + start_at: float, + tenant_id: str, + node_id: str, + ) -> WorkflowNodeExecution: + """ + Handle node run result + + :param getter: Callable[[], tuple[BaseNode, Generator[RunEvent | InNodeEvent, None, None]]] + :param start_at: float + :param tenant_id: str + :param node_id: str + """ + try: + node_instance, generator = getter() + node_run_result: NodeRunResult | None = None for event in generator: if isinstance(event, RunCompletedEvent): @@ -303,9 +359,7 @@ def run_draft_workflow_node( workflow_node_execution = WorkflowNodeExecution() workflow_node_execution.id = str(uuid4()) - workflow_node_execution.tenant_id = app_model.tenant_id - workflow_node_execution.app_id = app_model.id - workflow_node_execution.workflow_id = draft_workflow.id + workflow_node_execution.tenant_id = tenant_id workflow_node_execution.triggered_from = WorkflowNodeExecutionTriggeredFrom.SINGLE_STEP.value workflow_node_execution.index = 1 workflow_node_execution.node_id = node_id @@ -313,7 +367,6 @@ def run_draft_workflow_node( workflow_node_execution.title = node_instance.node_data.title workflow_node_execution.elapsed_time = time.perf_counter() - start_at workflow_node_execution.created_by_role = CreatedByRole.ACCOUNT.value - workflow_node_execution.created_by = account.id workflow_node_execution.created_at = datetime.now(UTC).replace(tzinfo=None) workflow_node_execution.finished_at = datetime.now(UTC).replace(tzinfo=None) if run_succeeded and node_run_result: @@ -342,9 +395,6 @@ def run_draft_workflow_node( workflow_node_execution.status = WorkflowNodeExecutionStatus.FAILED.value workflow_node_execution.error = error - db.session.add(workflow_node_execution) - db.session.commit() - return workflow_node_execution def convert_to_workflow(self, app_model: App, account: Account, args: dict) -> App: diff --git a/api/tasks/batch_create_segment_to_index_task.py b/api/tasks/batch_create_segment_to_index_task.py index e2d23927973c5f..40356b9731f4ef 100644 --- a/api/tasks/batch_create_segment_to_index_task.py +++ b/api/tasks/batch_create_segment_to_index_task.py @@ -73,43 +73,49 @@ def batch_create_segment_to_index_task( max_position_stmt = select(func.max(DocumentSegment.position)).where( DocumentSegment.document_id == dataset_document.id ) - max_position = session.scalar(max_position_stmt) or 1 - for segment in content: - content_str = segment["content"] - doc_id = str(uuid.uuid4()) - segment_hash = helper.generate_text_hash(content_str) - # calc embedding use tokens - tokens = embedding_model.get_text_embedding_num_tokens(texts=[content_str]) if embedding_model else 0 - segment_document = DocumentSegment( - tenant_id=tenant_id, - dataset_id=dataset_id, - document_id=document_id, - index_node_id=doc_id, - index_node_hash=segment_hash, - position=max_position, - content=content_str, - word_count=len(content_str), - tokens=tokens, - created_by=user_id, - indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None), - status="completed", - completed_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None), - ) - max_position += 1 - if dataset_document.doc_form == "qa_model": - segment_document.answer = segment["answer"] - segment_document.word_count += len(segment["answer"]) - word_count_change += segment_document.word_count - session.add(segment_document) - document_segments.append(segment_document) - segments_to_insert.append(str(segment)) # Cast to string if needed - # update document word count - dataset_document.word_count += word_count_change - session.add(dataset_document) - # add index to db - VectorService.create_segments_vector(None, document_segments, dataset, dataset_document.doc_form) - session.commit() - + word_count_change = 0 + if embedding_model: + tokens_list = embedding_model.get_text_embedding_num_tokens( + texts=[segment["content"] for segment in content] + ) + else: + tokens_list = [0] * len(content) + for segment, tokens in zip(content, tokens_list): + content = segment["content"] + doc_id = str(uuid.uuid4()) + segment_hash = helper.generate_text_hash(content) # type: ignore + max_position = ( + db.session.query(func.max(DocumentSegment.position)) + .filter(DocumentSegment.document_id == dataset_document.id) + .scalar() + ) + segment_document = DocumentSegment( + tenant_id=tenant_id, + dataset_id=dataset_id, + document_id=document_id, + index_node_id=doc_id, + index_node_hash=segment_hash, + position=max_position + 1 if max_position else 1, + content=content, + word_count=len(content), + tokens=tokens, + created_by=user_id, + indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None), + status="completed", + completed_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None), + ) + if dataset_document.doc_form == "qa_model": + segment_document.answer = segment["answer"] + segment_document.word_count += len(segment["answer"]) + word_count_change += segment_document.word_count + db.session.add(segment_document) + document_segments.append(segment_document) + # update document word count + dataset_document.word_count += word_count_change + db.session.add(dataset_document) + # add index to db + VectorService.create_segments_vector(None, document_segments, dataset, dataset_document.doc_form) + db.session.commit() redis_client.setex(indexing_cache_key, 600, "completed") end_at = time.perf_counter() logging.info( @@ -118,6 +124,6 @@ def batch_create_segment_to_index_task( fg="green", ) ) - except Exception as e: + except Exception: logging.exception("Segments batch created index failed") redis_client.setex(indexing_cache_key, 600, "error") diff --git a/api/tasks/clean_dataset_task.py b/api/tasks/clean_dataset_task.py index dfc7a896fc05aa..4d77f1fb6519b6 100644 --- a/api/tasks/clean_dataset_task.py +++ b/api/tasks/clean_dataset_task.py @@ -5,7 +5,7 @@ from celery import shared_task # type: ignore from core.rag.index_processor.index_processor_factory import IndexProcessorFactory -from core.tools.utils.web_reader_tool import get_image_upload_file_ids +from core.tools.utils.rag_web_reader import get_image_upload_file_ids from extensions.ext_database import db from extensions.ext_storage import storage from models.dataset import ( diff --git a/api/tasks/clean_document_task.py b/api/tasks/clean_document_task.py index 7a536f74265757..5a4d7a52b2c2a5 100644 --- a/api/tasks/clean_document_task.py +++ b/api/tasks/clean_document_task.py @@ -6,7 +6,7 @@ from celery import shared_task # type: ignore from core.rag.index_processor.index_processor_factory import IndexProcessorFactory -from core.tools.utils.web_reader_tool import get_image_upload_file_ids +from core.tools.utils.rag_web_reader import get_image_upload_file_ids from extensions.ext_database import db from extensions.ext_storage import storage from models.dataset import Dataset, DocumentSegment diff --git a/api/tests/integration_tests/.env.example b/api/tests/integration_tests/.env.example index 6fd144c5c2f349..3c2ccb9dad490f 100644 --- a/api/tests/integration_tests/.env.example +++ b/api/tests/integration_tests/.env.example @@ -84,6 +84,13 @@ VOLC_EMBEDDING_ENDPOINT_ID= # 360 AI Credentials ZHINAO_API_KEY= +# Plugin configuration +PLUGIN_DAEMON_KEY= +PLUGIN_DAEMON_URL= +INNER_API_KEY= + +# Marketplace configuration +MARKETPLACE_API_URL= # VESSL AI Credentials VESSL_AI_MODEL_NAME= VESSL_AI_API_KEY= diff --git a/api/tests/integration_tests/model_runtime/__init__.py b/api/tests/integration_tests/model_runtime/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/__mock/anthropic.py b/api/tests/integration_tests/model_runtime/__mock/anthropic.py deleted file mode 100644 index 5092af4f13b2ff..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/anthropic.py +++ /dev/null @@ -1,98 +0,0 @@ -import os -from collections.abc import Iterable -from typing import Any, Literal, Union - -import anthropic -import pytest -from _pytest.monkeypatch import MonkeyPatch -from anthropic import Stream -from anthropic.resources import Messages -from anthropic.types import ( - ContentBlock, - ContentBlockDeltaEvent, - Message, - MessageDeltaEvent, - MessageDeltaUsage, - MessageParam, - MessageStartEvent, - MessageStopEvent, - MessageStreamEvent, - TextDelta, - Usage, -) -from anthropic.types.message_delta_event import Delta - -MOCK = os.getenv("MOCK_SWITCH", "false") == "true" - - -class MockAnthropicClass: - @staticmethod - def mocked_anthropic_chat_create_sync(model: str) -> Message: - return Message( - id="msg-123", - type="message", - role="assistant", - content=[ContentBlock(text="hello, I'm a chatbot from anthropic", type="text")], - model=model, - stop_reason="stop_sequence", - usage=Usage(input_tokens=1, output_tokens=1), - ) - - @staticmethod - def mocked_anthropic_chat_create_stream(model: str) -> Stream[MessageStreamEvent]: - full_response_text = "hello, I'm a chatbot from anthropic" - - yield MessageStartEvent( - type="message_start", - message=Message( - id="msg-123", - content=[], - role="assistant", - model=model, - stop_reason=None, - type="message", - usage=Usage(input_tokens=1, output_tokens=1), - ), - ) - - index = 0 - for i in range(0, len(full_response_text)): - yield ContentBlockDeltaEvent( - type="content_block_delta", delta=TextDelta(text=full_response_text[i], type="text_delta"), index=index - ) - - index += 1 - - yield MessageDeltaEvent( - type="message_delta", delta=Delta(stop_reason="stop_sequence"), usage=MessageDeltaUsage(output_tokens=1) - ) - - yield MessageStopEvent(type="message_stop") - - def mocked_anthropic( - self: Messages, - *, - max_tokens: int, - messages: Iterable[MessageParam], - model: str, - stream: Literal[True], - **kwargs: Any, - ) -> Union[Message, Stream[MessageStreamEvent]]: - if len(self._client.api_key) < 18: - raise anthropic.AuthenticationError("Invalid API key") - - if stream: - return MockAnthropicClass.mocked_anthropic_chat_create_stream(model=model) - else: - return MockAnthropicClass.mocked_anthropic_chat_create_sync(model=model) - - -@pytest.fixture -def setup_anthropic_mock(request, monkeypatch: MonkeyPatch): - if MOCK: - monkeypatch.setattr(Messages, "create", MockAnthropicClass.mocked_anthropic) - - yield - - if MOCK: - monkeypatch.undo() diff --git a/api/tests/integration_tests/model_runtime/__mock/fishaudio.py b/api/tests/integration_tests/model_runtime/__mock/fishaudio.py deleted file mode 100644 index bec3babeafddab..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/fishaudio.py +++ /dev/null @@ -1,82 +0,0 @@ -import os -from collections.abc import Callable -from typing import Literal - -import httpx -import pytest -from _pytest.monkeypatch import MonkeyPatch - - -def mock_get(*args, **kwargs): - if kwargs.get("headers", {}).get("Authorization") != "Bearer test": - raise httpx.HTTPStatusError( - "Invalid API key", - request=httpx.Request("GET", ""), - response=httpx.Response(401), - ) - - return httpx.Response( - 200, - json={ - "items": [ - {"title": "Model 1", "_id": "model1"}, - {"title": "Model 2", "_id": "model2"}, - ] - }, - request=httpx.Request("GET", ""), - ) - - -def mock_stream(*args, **kwargs): - class MockStreamResponse: - def __init__(self): - self.status_code = 200 - - def __enter__(self): - return self - - def __exit__(self, exc_type, exc_val, exc_tb): - pass - - def iter_bytes(self): - yield b"Mocked audio data" - - return MockStreamResponse() - - -def mock_fishaudio( - monkeypatch: MonkeyPatch, - methods: list[Literal["list-models", "tts"]], -) -> Callable[[], None]: - """ - mock fishaudio module - - :param monkeypatch: pytest monkeypatch fixture - :return: unpatch function - """ - - def unpatch() -> None: - monkeypatch.undo() - - if "list-models" in methods: - monkeypatch.setattr(httpx, "get", mock_get) - - if "tts" in methods: - monkeypatch.setattr(httpx, "stream", mock_stream) - - return unpatch - - -MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" - - -@pytest.fixture -def setup_fishaudio_mock(request, monkeypatch): - methods = request.param if hasattr(request, "param") else [] - if MOCK: - unpatch = mock_fishaudio(monkeypatch, methods=methods) - - yield - - if MOCK: - unpatch() diff --git a/api/tests/integration_tests/model_runtime/__mock/google.py b/api/tests/integration_tests/model_runtime/__mock/google.py deleted file mode 100644 index 3a26b99e37507c..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/google.py +++ /dev/null @@ -1,115 +0,0 @@ -from unittest.mock import MagicMock - -import google.generativeai.types.generation_types as generation_config_types # type: ignore -import pytest -from _pytest.monkeypatch import MonkeyPatch -from google.ai import generativelanguage as glm -from google.ai.generativelanguage_v1beta.types import content as gag_content -from google.generativeai import GenerativeModel -from google.generativeai.types import GenerateContentResponse, content_types, safety_types -from google.generativeai.types.generation_types import BaseGenerateContentResponse - -from extensions import ext_redis - - -class MockGoogleResponseClass: - _done = False - - def __iter__(self): - full_response_text = "it's google!" - - for i in range(0, len(full_response_text) + 1, 1): - if i == len(full_response_text): - self._done = True - yield GenerateContentResponse( - done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[] - ) - else: - yield GenerateContentResponse( - done=False, iterator=None, result=glm.GenerateContentResponse({}), chunks=[] - ) - - -class MockGoogleResponseCandidateClass: - finish_reason = "stop" - - @property - def content(self) -> gag_content.Content: - return gag_content.Content(parts=[gag_content.Part(text="it's google!")]) - - -class MockGoogleClass: - @staticmethod - def generate_content_sync() -> GenerateContentResponse: - return GenerateContentResponse(done=True, iterator=None, result=glm.GenerateContentResponse({}), chunks=[]) - - @staticmethod - def generate_content_stream() -> MockGoogleResponseClass: - return MockGoogleResponseClass() - - def generate_content( - self: GenerativeModel, - contents: content_types.ContentsType, - *, - generation_config: generation_config_types.GenerationConfigType | None = None, - safety_settings: safety_types.SafetySettingOptions | None = None, - stream: bool = False, - **kwargs, - ) -> GenerateContentResponse: - if stream: - return MockGoogleClass.generate_content_stream() - - return MockGoogleClass.generate_content_sync() - - @property - def generative_response_text(self) -> str: - return "it's google!" - - @property - def generative_response_candidates(self) -> list[MockGoogleResponseCandidateClass]: - return [MockGoogleResponseCandidateClass()] - - -def mock_configure(api_key: str): - if len(api_key) < 16: - raise Exception("Invalid API key") - - -class MockFileState: - def __init__(self): - self.name = "FINISHED" - - -class MockGoogleFile: - def __init__(self, name: str = "mock_file_name"): - self.name = name - self.state = MockFileState() - - -def mock_get_file(name: str) -> MockGoogleFile: - return MockGoogleFile(name) - - -def mock_upload_file(path: str, mime_type: str) -> MockGoogleFile: - return MockGoogleFile() - - -@pytest.fixture -def setup_google_mock(request, monkeypatch: MonkeyPatch): - monkeypatch.setattr(BaseGenerateContentResponse, "text", MockGoogleClass.generative_response_text) - monkeypatch.setattr(BaseGenerateContentResponse, "candidates", MockGoogleClass.generative_response_candidates) - monkeypatch.setattr(GenerativeModel, "generate_content", MockGoogleClass.generate_content) - monkeypatch.setattr("google.generativeai.configure", mock_configure) - monkeypatch.setattr("google.generativeai.get_file", mock_get_file) - monkeypatch.setattr("google.generativeai.upload_file", mock_upload_file) - - yield - - monkeypatch.undo() - - -@pytest.fixture -def setup_mock_redis() -> None: - ext_redis.redis_client.get = MagicMock(return_value=None) - ext_redis.redis_client.setex = MagicMock(return_value=None) - ext_redis.redis_client.exists = MagicMock(return_value=True) diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface.py b/api/tests/integration_tests/model_runtime/__mock/huggingface.py deleted file mode 100644 index 4de52514408a06..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/huggingface.py +++ /dev/null @@ -1,20 +0,0 @@ -import os - -import pytest -from _pytest.monkeypatch import MonkeyPatch -from huggingface_hub import InferenceClient # type: ignore - -from tests.integration_tests.model_runtime.__mock.huggingface_chat import MockHuggingfaceChatClass - -MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" - - -@pytest.fixture -def setup_huggingface_mock(request, monkeypatch: MonkeyPatch): - if MOCK: - monkeypatch.setattr(InferenceClient, "text_generation", MockHuggingfaceChatClass.text_generation) - - yield - - if MOCK: - monkeypatch.undo() diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py b/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py deleted file mode 100644 index 77c7e7f5e4089c..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/huggingface_chat.py +++ /dev/null @@ -1,56 +0,0 @@ -import re -from collections.abc import Generator -from typing import Any, Literal, Optional, Union - -from _pytest.monkeypatch import MonkeyPatch -from huggingface_hub import InferenceClient # type: ignore -from huggingface_hub.inference._text_generation import ( # type: ignore - Details, - StreamDetails, - TextGenerationResponse, - TextGenerationStreamResponse, - Token, -) -from huggingface_hub.utils import BadRequestError # type: ignore - - -class MockHuggingfaceChatClass: - @staticmethod - def generate_create_sync(model: str) -> TextGenerationResponse: - response = TextGenerationResponse( - generated_text="You can call me Miku Miku o~e~o~", - details=Details( - finish_reason="length", - generated_tokens=6, - tokens=[Token(id=0, text="You", logprob=0.0, special=False) for i in range(0, 6)], - ), - ) - - return response - - @staticmethod - def generate_create_stream(model: str) -> Generator[TextGenerationStreamResponse, None, None]: - full_text = "You can call me Miku Miku o~e~o~" - - for i in range(0, len(full_text)): - response = TextGenerationStreamResponse( - token=Token(id=i, text=full_text[i], logprob=0.0, special=False), - ) - response.generated_text = full_text[i] - response.details = StreamDetails(finish_reason="stop_sequence", generated_tokens=1) - - yield response - - def text_generation( - self: InferenceClient, prompt: str, *, stream: Literal[False] = ..., model: Optional[str] = None, **kwargs: Any - ) -> Union[TextGenerationResponse, Generator[TextGenerationStreamResponse, None, None]]: - # check if key is valid - if not re.match(r"Bearer\shf\-[a-zA-Z0-9]{16,}", self.headers["authorization"]): - raise BadRequestError("Invalid API key") - - if model is None: - raise BadRequestError("Invalid model") - - if stream: - return MockHuggingfaceChatClass.generate_create_stream(model) - return MockHuggingfaceChatClass.generate_create_sync(model) diff --git a/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py b/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py deleted file mode 100644 index b9a721c803fc52..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/huggingface_tei.py +++ /dev/null @@ -1,94 +0,0 @@ -from core.model_runtime.model_providers.huggingface_tei.tei_helper import TeiModelExtraParameter - - -class MockTEIClass: - @staticmethod - def get_tei_extra_parameter(server_url: str, model_name: str) -> TeiModelExtraParameter: - # During mock, we don't have a real server to query, so we just return a dummy value - if "rerank" in model_name: - model_type = "reranker" - else: - model_type = "embedding" - - return TeiModelExtraParameter(model_type=model_type, max_input_length=512, max_client_batch_size=1) - - @staticmethod - def invoke_tokenize(server_url: str, texts: list[str]) -> list[list[dict]]: - # Use space as token separator, and split the text into tokens - tokenized_texts = [] - for text in texts: - tokens = text.split(" ") - current_index = 0 - tokenized_text = [] - for idx, token in enumerate(tokens): - s_token = { - "id": idx, - "text": token, - "special": False, - "start": current_index, - "stop": current_index + len(token), - } - current_index += len(token) + 1 - tokenized_text.append(s_token) - tokenized_texts.append(tokenized_text) - return tokenized_texts - - @staticmethod - def invoke_embeddings(server_url: str, texts: list[str]) -> dict: - # { - # "object": "list", - # "data": [ - # { - # "object": "embedding", - # "embedding": [...], - # "index": 0 - # } - # ], - # "model": "MODEL_NAME", - # "usage": { - # "prompt_tokens": 3, - # "total_tokens": 3 - # } - # } - embeddings = [] - for idx in range(len(texts)): - embedding = [0.1] * 768 - embeddings.append( - { - "object": "embedding", - "embedding": embedding, - "index": idx, - } - ) - return { - "object": "list", - "data": embeddings, - "model": "MODEL_NAME", - "usage": { - "prompt_tokens": sum(len(text.split(" ")) for text in texts), - "total_tokens": sum(len(text.split(" ")) for text in texts), - }, - } - - @staticmethod - def invoke_rerank(server_url: str, query: str, texts: list[str]) -> list[dict]: - # Example response: - # [ - # { - # "index": 0, - # "text": "Deep Learning is ...", - # "score": 0.9950755 - # } - # ] - reranked_docs = [] - for idx, text in enumerate(texts): - reranked_docs.append( - { - "index": idx, - "text": text, - "score": 0.9, - } - ) - # For mock, only return the first document - break - return reranked_docs diff --git a/api/tests/integration_tests/model_runtime/__mock/nomic_embeddings.py b/api/tests/integration_tests/model_runtime/__mock/nomic_embeddings.py deleted file mode 100644 index 4e00660a29162f..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/nomic_embeddings.py +++ /dev/null @@ -1,59 +0,0 @@ -import os -from collections.abc import Callable -from typing import Any, Literal - -import pytest - -# import monkeypatch -from _pytest.monkeypatch import MonkeyPatch -from nomic import embed # type: ignore - - -def create_embedding(texts: list[str], model: str, **kwargs: Any) -> dict: - texts_len = len(texts) - - foo_embedding_sample = 0.123456 - - combined = { - "embeddings": [[foo_embedding_sample for _ in range(768)] for _ in range(texts_len)], - "usage": {"prompt_tokens": texts_len, "total_tokens": texts_len}, - "model": model, - "inference_mode": "remote", - } - - return combined - - -def mock_nomic( - monkeypatch: MonkeyPatch, - methods: list[Literal["text_embedding"]], -) -> Callable[[], None]: - """ - mock nomic module - - :param monkeypatch: pytest monkeypatch fixture - :return: unpatch function - """ - - def unpatch() -> None: - monkeypatch.undo() - - if "text_embedding" in methods: - monkeypatch.setattr(embed, "text", create_embedding) - - return unpatch - - -MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" - - -@pytest.fixture -def setup_nomic_mock(request, monkeypatch): - methods = request.param if hasattr(request, "param") else [] - if MOCK: - unpatch = mock_nomic(monkeypatch, methods=methods) - - yield - - if MOCK: - unpatch() diff --git a/api/tests/integration_tests/model_runtime/__mock/openai.py b/api/tests/integration_tests/model_runtime/__mock/openai.py deleted file mode 100644 index 6637f4f212a50e..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/openai.py +++ /dev/null @@ -1,71 +0,0 @@ -import os -from collections.abc import Callable -from typing import Literal - -import pytest - -# import monkeypatch -from _pytest.monkeypatch import MonkeyPatch -from openai.resources.audio.transcriptions import Transcriptions -from openai.resources.chat import Completions as ChatCompletions -from openai.resources.completions import Completions -from openai.resources.embeddings import Embeddings -from openai.resources.models import Models -from openai.resources.moderations import Moderations - -from tests.integration_tests.model_runtime.__mock.openai_chat import MockChatClass -from tests.integration_tests.model_runtime.__mock.openai_completion import MockCompletionsClass -from tests.integration_tests.model_runtime.__mock.openai_embeddings import MockEmbeddingsClass -from tests.integration_tests.model_runtime.__mock.openai_moderation import MockModerationClass -from tests.integration_tests.model_runtime.__mock.openai_remote import MockModelClass -from tests.integration_tests.model_runtime.__mock.openai_speech2text import MockSpeech2TextClass - - -def mock_openai( - monkeypatch: MonkeyPatch, - methods: list[Literal["completion", "chat", "remote", "moderation", "speech2text", "text_embedding"]], -) -> Callable[[], None]: - """ - mock openai module - - :param monkeypatch: pytest monkeypatch fixture - :return: unpatch function - """ - - def unpatch() -> None: - monkeypatch.undo() - - if "completion" in methods: - monkeypatch.setattr(Completions, "create", MockCompletionsClass.completion_create) - - if "chat" in methods: - monkeypatch.setattr(ChatCompletions, "create", MockChatClass.chat_create) - - if "remote" in methods: - monkeypatch.setattr(Models, "list", MockModelClass.list) - - if "moderation" in methods: - monkeypatch.setattr(Moderations, "create", MockModerationClass.moderation_create) - - if "speech2text" in methods: - monkeypatch.setattr(Transcriptions, "create", MockSpeech2TextClass.speech2text_create) - - if "text_embedding" in methods: - monkeypatch.setattr(Embeddings, "create", MockEmbeddingsClass.create_embeddings) - - return unpatch - - -MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" - - -@pytest.fixture -def setup_openai_mock(request, monkeypatch): - methods = request.param if hasattr(request, "param") else [] - if MOCK: - unpatch = mock_openai(monkeypatch, methods=methods) - - yield - - if MOCK: - unpatch() diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py b/api/tests/integration_tests/model_runtime/__mock/openai_chat.py deleted file mode 100644 index 1dc5df766748ec..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py +++ /dev/null @@ -1,267 +0,0 @@ -import re -from collections.abc import Generator -from json import dumps -from time import time - -# import monkeypatch -from typing import Any, Literal, Optional, Union - -from openai import AzureOpenAI, OpenAI -from openai._types import NOT_GIVEN, NotGiven -from openai.resources.chat.completions import Completions -from openai.types import Completion as CompletionMessage -from openai.types.chat import ( - ChatCompletionChunk, - ChatCompletionMessageParam, - ChatCompletionMessageToolCall, - ChatCompletionToolParam, - completion_create_params, -) -from openai.types.chat.chat_completion import ChatCompletion as _ChatCompletion -from openai.types.chat.chat_completion import Choice as _ChatCompletionChoice -from openai.types.chat.chat_completion_chunk import ( - Choice, - ChoiceDelta, - ChoiceDeltaFunctionCall, - ChoiceDeltaToolCall, - ChoiceDeltaToolCallFunction, -) -from openai.types.chat.chat_completion_message import ChatCompletionMessage, FunctionCall -from openai.types.chat.chat_completion_message_tool_call import Function -from openai.types.completion_usage import CompletionUsage - -from core.model_runtime.errors.invoke import InvokeAuthorizationError - - -class MockChatClass: - @staticmethod - def generate_function_call( - functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN, - ) -> Optional[FunctionCall]: - if not functions or len(functions) == 0: - return None - function: completion_create_params.Function = functions[0] - function_name = function["name"] - function_description = function["description"] - function_parameters = function["parameters"] - function_parameters_type = function_parameters["type"] - if function_parameters_type != "object": - return None - function_parameters_properties = function_parameters["properties"] - function_parameters_required = function_parameters["required"] - parameters = {} - for parameter_name, parameter in function_parameters_properties.items(): - if parameter_name not in function_parameters_required: - continue - parameter_type = parameter["type"] - if parameter_type == "string": - if "enum" in parameter: - if len(parameter["enum"]) == 0: - continue - parameters[parameter_name] = parameter["enum"][0] - else: - parameters[parameter_name] = "kawaii" - elif parameter_type == "integer": - parameters[parameter_name] = 114514 - elif parameter_type == "number": - parameters[parameter_name] = 1919810.0 - elif parameter_type == "boolean": - parameters[parameter_name] = True - - return FunctionCall(name=function_name, arguments=dumps(parameters)) - - @staticmethod - def generate_tool_calls(tools=NOT_GIVEN) -> Optional[list[ChatCompletionMessageToolCall]]: - list_tool_calls = [] - if not tools or len(tools) == 0: - return None - tool = tools[0] - - if "type" in tools and tools["type"] != "function": - return None - - function = tool["function"] - - function_call = MockChatClass.generate_function_call(functions=[function]) - if function_call is None: - return None - - list_tool_calls.append( - ChatCompletionMessageToolCall( - id="sakurajima-mai", - function=Function( - name=function_call.name, - arguments=function_call.arguments, - ), - type="function", - ) - ) - - return list_tool_calls - - @staticmethod - def mocked_openai_chat_create_sync( - model: str, - functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN, - tools: list[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, - ) -> CompletionMessage: - tool_calls = [] - function_call = MockChatClass.generate_function_call(functions=functions) - if not function_call: - tool_calls = MockChatClass.generate_tool_calls(tools=tools) - - return _ChatCompletion( - id="cmpl-3QJQa5jXJ5Z5X", - choices=[ - _ChatCompletionChoice( - finish_reason="content_filter", - index=0, - message=ChatCompletionMessage( - content="elaina", role="assistant", function_call=function_call, tool_calls=tool_calls - ), - ) - ], - created=int(time()), - model=model, - object="chat.completion", - system_fingerprint="", - usage=CompletionUsage( - prompt_tokens=2, - completion_tokens=1, - total_tokens=3, - ), - ) - - @staticmethod - def mocked_openai_chat_create_stream( - model: str, - functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN, - tools: list[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, - ) -> Generator[ChatCompletionChunk, None, None]: - tool_calls = [] - function_call = MockChatClass.generate_function_call(functions=functions) - if not function_call: - tool_calls = MockChatClass.generate_tool_calls(tools=tools) - - full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```" - for i in range(0, len(full_text) + 1): - if i == len(full_text): - yield ChatCompletionChunk( - id="cmpl-3QJQa5jXJ5Z5X", - choices=[ - Choice( - delta=ChoiceDelta( - content="", - function_call=ChoiceDeltaFunctionCall( - name=function_call.name, - arguments=function_call.arguments, - ) - if function_call - else None, - role="assistant", - tool_calls=[ - ChoiceDeltaToolCall( - index=0, - id="misaka-mikoto", - function=ChoiceDeltaToolCallFunction( - name=tool_calls[0].function.name, - arguments=tool_calls[0].function.arguments, - ), - type="function", - ) - ] - if tool_calls and len(tool_calls) > 0 - else None, - ), - finish_reason="function_call", - index=0, - ) - ], - created=int(time()), - model=model, - object="chat.completion.chunk", - system_fingerprint="", - usage=CompletionUsage( - prompt_tokens=2, - completion_tokens=17, - total_tokens=19, - ), - ) - else: - yield ChatCompletionChunk( - id="cmpl-3QJQa5jXJ5Z5X", - choices=[ - Choice( - delta=ChoiceDelta( - content=full_text[i], - role="assistant", - ), - finish_reason="content_filter", - index=0, - ) - ], - created=int(time()), - model=model, - object="chat.completion.chunk", - system_fingerprint="", - ) - - def chat_create( - self: Completions, - *, - messages: list[ChatCompletionMessageParam], - model: Union[ - str, - Literal[ - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-4", - "gpt-4-0314", - "gpt-4-0613", - "gpt-4-32k", - "gpt-4-32k-0314", - "gpt-4-32k-0613", - "gpt-3.5-turbo-1106", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", - "gpt-3.5-turbo-0301", - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo-16k-0613", - ], - ], - functions: list[completion_create_params.Function] | NotGiven = NOT_GIVEN, - response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, - stream: Optional[Literal[False]] | NotGiven = NOT_GIVEN, - tools: list[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, - **kwargs: Any, - ): - openai_models = [ - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-4", - "gpt-4-0314", - "gpt-4-0613", - "gpt-4-32k", - "gpt-4-32k-0314", - "gpt-4-32k-0613", - "gpt-3.5-turbo-1106", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", - "gpt-3.5-turbo-0301", - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo-16k-0613", - ] - azure_openai_models = ["gpt35", "gpt-4v", "gpt-35-turbo"] - if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)): - raise InvokeAuthorizationError("Invalid base url") - if model in openai_models + azure_openai_models: - if not re.match(r"sk-[a-zA-Z0-9]{24,}$", self._client.api_key) and type(self._client) == OpenAI: - # sometime, provider use OpenAI compatible API will not have api key or have different api key format - # so we only check if model is in openai_models - raise InvokeAuthorizationError("Invalid api key") - if len(self._client.api_key) < 18 and type(self._client) == AzureOpenAI: - raise InvokeAuthorizationError("Invalid api key") - if stream: - return MockChatClass.mocked_openai_chat_create_stream(model=model, functions=functions, tools=tools) - - return MockChatClass.mocked_openai_chat_create_sync(model=model, functions=functions, tools=tools) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py b/api/tests/integration_tests/model_runtime/__mock/openai_completion.py deleted file mode 100644 index 14223668e036d9..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py +++ /dev/null @@ -1,130 +0,0 @@ -import re -from collections.abc import Generator -from time import time - -# import monkeypatch -from typing import Any, Literal, Optional, Union - -from openai import AzureOpenAI, BadRequestError, OpenAI -from openai._types import NOT_GIVEN, NotGiven -from openai.resources.completions import Completions -from openai.types import Completion as CompletionMessage -from openai.types.completion import CompletionChoice -from openai.types.completion_usage import CompletionUsage - -from core.model_runtime.errors.invoke import InvokeAuthorizationError - - -class MockCompletionsClass: - @staticmethod - def mocked_openai_completion_create_sync(model: str) -> CompletionMessage: - return CompletionMessage( - id="cmpl-3QJQa5jXJ5Z5X", - object="text_completion", - created=int(time()), - model=model, - system_fingerprint="", - choices=[ - CompletionChoice( - text="mock", - index=0, - logprobs=None, - finish_reason="stop", - ) - ], - usage=CompletionUsage( - prompt_tokens=2, - completion_tokens=1, - total_tokens=3, - ), - ) - - @staticmethod - def mocked_openai_completion_create_stream(model: str) -> Generator[CompletionMessage, None, None]: - full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```" - for i in range(0, len(full_text) + 1): - if i == len(full_text): - yield CompletionMessage( - id="cmpl-3QJQa5jXJ5Z5X", - object="text_completion", - created=int(time()), - model=model, - system_fingerprint="", - choices=[ - CompletionChoice( - text="", - index=0, - logprobs=None, - finish_reason="stop", - ) - ], - usage=CompletionUsage( - prompt_tokens=2, - completion_tokens=17, - total_tokens=19, - ), - ) - else: - yield CompletionMessage( - id="cmpl-3QJQa5jXJ5Z5X", - object="text_completion", - created=int(time()), - model=model, - system_fingerprint="", - choices=[ - CompletionChoice(text=full_text[i], index=0, logprobs=None, finish_reason="content_filter") - ], - ) - - def completion_create( - self: Completions, - *, - model: Union[ - str, - Literal[ - "babbage-002", - "davinci-002", - "gpt-3.5-turbo-instruct", - "text-davinci-003", - "text-davinci-002", - "text-davinci-001", - "code-davinci-002", - "text-curie-001", - "text-babbage-001", - "text-ada-001", - ], - ], - prompt: Union[str, list[str], list[int], list[list[int]], None], - stream: Optional[Literal[False]] | NotGiven = NOT_GIVEN, - **kwargs: Any, - ): - openai_models = [ - "babbage-002", - "davinci-002", - "gpt-3.5-turbo-instruct", - "text-davinci-003", - "text-davinci-002", - "text-davinci-001", - "code-davinci-002", - "text-curie-001", - "text-babbage-001", - "text-ada-001", - ] - azure_openai_models = ["gpt-35-turbo-instruct"] - - if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)): - raise InvokeAuthorizationError("Invalid base url") - if model in openai_models + azure_openai_models: - if not re.match(r"sk-[a-zA-Z0-9]{24,}$", self._client.api_key) and type(self._client) == OpenAI: - # sometime, provider use OpenAI compatible API will not have api key or have different api key format - # so we only check if model is in openai_models - raise InvokeAuthorizationError("Invalid api key") - if len(self._client.api_key) < 18 and type(self._client) == AzureOpenAI: - raise InvokeAuthorizationError("Invalid api key") - - if not prompt: - raise BadRequestError("Invalid prompt") - if stream: - return MockCompletionsClass.mocked_openai_completion_create_stream(model=model) - - return MockCompletionsClass.mocked_openai_completion_create_sync(model=model) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py b/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py deleted file mode 100644 index 3cc1fa9ff1db49..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/openai_embeddings.py +++ /dev/null @@ -1,57 +0,0 @@ -import re -from typing import Any, Literal, Union - -from openai._types import NOT_GIVEN, NotGiven -from openai.resources.embeddings import Embeddings -from openai.types.create_embedding_response import CreateEmbeddingResponse, Usage -from openai.types.embedding import Embedding - -from core.model_runtime.errors.invoke import InvokeAuthorizationError - - -class MockEmbeddingsClass: - def create_embeddings( - self: Embeddings, - *, - input: Union[str, list[str], list[int], list[list[int]]], - model: Union[str, Literal["text-embedding-ada-002"]], - encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN, - **kwargs: Any, - ) -> CreateEmbeddingResponse: - if isinstance(input, str): - input = [input] - - if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)): - raise InvokeAuthorizationError("Invalid base url") - - if len(self._client.api_key) < 18: - raise InvokeAuthorizationError("Invalid API key") - - if encoding_format == "float": - return CreateEmbeddingResponse( - data=[ - Embedding(embedding=[0.23333 for _ in range(233)], index=i, object="embedding") - for i in range(len(input)) - ], - model=model, - object="list", - # marked: usage of embeddings should equal the number of testcase - usage=Usage(prompt_tokens=2, total_tokens=2), - ) - - embeddings = "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" # noqa: E501 - - data = [] - for i, text in enumerate(input): - obj = Embedding(embedding=[], index=i, object="embedding") - obj.embedding = embeddings - - data.append(obj) - - return CreateEmbeddingResponse( - data=data, - model=model, - object="list", - # marked: usage of embeddings should equal the number of testcase - usage=Usage(prompt_tokens=2, total_tokens=2), - ) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py deleted file mode 100644 index e26855344e63bf..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py +++ /dev/null @@ -1,140 +0,0 @@ -import re -from typing import Any, Literal, Union - -from openai._types import NOT_GIVEN, NotGiven -from openai.resources.moderations import Moderations -from openai.types import ModerationCreateResponse -from openai.types.moderation import Categories, CategoryScores, Moderation - -from core.model_runtime.errors.invoke import InvokeAuthorizationError - - -class MockModerationClass: - def moderation_create( - self: Moderations, - *, - input: Union[str, list[str]], - model: Union[str, Literal["text-moderation-latest", "text-moderation-stable"]] | NotGiven = NOT_GIVEN, - **kwargs: Any, - ) -> ModerationCreateResponse: - if isinstance(input, str): - input = [input] - - if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)): - raise InvokeAuthorizationError("Invalid base url") - - if len(self._client.api_key) < 18: - raise InvokeAuthorizationError("Invalid API key") - - for text in input: - result = [] - if "kill" in text: - moderation_categories = { - "harassment": False, - "harassment/threatening": False, - "hate": False, - "hate/threatening": False, - "self-harm": False, - "self-harm/instructions": False, - "self-harm/intent": False, - "sexual": False, - "sexual/minors": False, - "violence": False, - "violence/graphic": False, - "illicit": False, - "illicit/violent": False, - } - moderation_categories_scores = { - "harassment": 1.0, - "harassment/threatening": 1.0, - "hate": 1.0, - "hate/threatening": 1.0, - "self-harm": 1.0, - "self-harm/instructions": 1.0, - "self-harm/intent": 1.0, - "sexual": 1.0, - "sexual/minors": 1.0, - "violence": 1.0, - "violence/graphic": 1.0, - "illicit": 1.0, - "illicit/violent": 1.0, - } - category_applied_input_types = { - "sexual": ["text", "image"], - "hate": ["text"], - "harassment": ["text"], - "self-harm": ["text", "image"], - "sexual/minors": ["text"], - "hate/threatening": ["text"], - "violence/graphic": ["text", "image"], - "self-harm/intent": ["text", "image"], - "self-harm/instructions": ["text", "image"], - "harassment/threatening": ["text"], - "violence": ["text", "image"], - "illicit": ["text"], - "illicit/violent": ["text"], - } - result.append( - Moderation( - flagged=True, - categories=Categories(**moderation_categories), - category_scores=CategoryScores(**moderation_categories_scores), - category_applied_input_types=category_applied_input_types, - ) - ) - else: - moderation_categories = { - "harassment": False, - "harassment/threatening": False, - "hate": False, - "hate/threatening": False, - "self-harm": False, - "self-harm/instructions": False, - "self-harm/intent": False, - "sexual": False, - "sexual/minors": False, - "violence": False, - "violence/graphic": False, - "illicit": False, - "illicit/violent": False, - } - moderation_categories_scores = { - "harassment": 0.0, - "harassment/threatening": 0.0, - "hate": 0.0, - "hate/threatening": 0.0, - "self-harm": 0.0, - "self-harm/instructions": 0.0, - "self-harm/intent": 0.0, - "sexual": 0.0, - "sexual/minors": 0.0, - "violence": 0.0, - "violence/graphic": 0.0, - "illicit": 0.0, - "illicit/violent": 0.0, - } - category_applied_input_types = { - "sexual": ["text", "image"], - "hate": ["text"], - "harassment": ["text"], - "self-harm": ["text", "image"], - "sexual/minors": ["text"], - "hate/threatening": ["text"], - "violence/graphic": ["text", "image"], - "self-harm/intent": ["text", "image"], - "self-harm/instructions": ["text", "image"], - "harassment/threatening": ["text"], - "violence": ["text", "image"], - "illicit": ["text"], - "illicit/violent": ["text"], - } - result.append( - Moderation( - flagged=False, - categories=Categories(**moderation_categories), - category_scores=CategoryScores(**moderation_categories_scores), - category_applied_input_types=category_applied_input_types, - ) - ) - - return ModerationCreateResponse(id="shiroii kuloko", model=model, results=result) diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_remote.py b/api/tests/integration_tests/model_runtime/__mock/openai_remote.py deleted file mode 100644 index 704dbad5d288ca..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/openai_remote.py +++ /dev/null @@ -1,22 +0,0 @@ -from time import time - -from openai.types.model import Model - - -class MockModelClass: - """ - mock class for openai.models.Models - """ - - def list( - self, - **kwargs, - ) -> list[Model]: - return [ - Model( - id="ft:gpt-3.5-turbo-0613:personal::8GYJLPDQ", - created=int(time()), - object="model", - owned_by="organization:org-123", - ) - ] diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py b/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py deleted file mode 100644 index a51dcab4be7467..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/openai_speech2text.py +++ /dev/null @@ -1,29 +0,0 @@ -import re -from typing import Any, Literal, Union - -from openai._types import NOT_GIVEN, FileTypes, NotGiven -from openai.resources.audio.transcriptions import Transcriptions -from openai.types.audio.transcription import Transcription - -from core.model_runtime.errors.invoke import InvokeAuthorizationError - - -class MockSpeech2TextClass: - def speech2text_create( - self: Transcriptions, - *, - file: FileTypes, - model: Union[str, Literal["whisper-1"]], - language: str | NotGiven = NOT_GIVEN, - prompt: str | NotGiven = NOT_GIVEN, - response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven = NOT_GIVEN, - temperature: float | NotGiven = NOT_GIVEN, - **kwargs: Any, - ) -> Transcription: - if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", str(self._client.base_url)): - raise InvokeAuthorizationError("Invalid base url") - - if len(self._client.api_key) < 18: - raise InvokeAuthorizationError("Invalid API key") - - return Transcription(text="1, 2, 3, 4, 5, 6, 7, 8, 9, 10") diff --git a/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py b/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py new file mode 100644 index 00000000000000..6dfc01ab4cddb7 --- /dev/null +++ b/api/tests/integration_tests/model_runtime/__mock/plugin_daemon.py @@ -0,0 +1,44 @@ +import os +from collections.abc import Callable + +import pytest + +# import monkeypatch +from _pytest.monkeypatch import MonkeyPatch + +from core.plugin.manager.model import PluginModelManager +from tests.integration_tests.model_runtime.__mock.plugin_model import MockModelClass + + +def mock_plugin_daemon( + monkeypatch: MonkeyPatch, +) -> Callable[[], None]: + """ + mock openai module + + :param monkeypatch: pytest monkeypatch fixture + :return: unpatch function + """ + + def unpatch() -> None: + monkeypatch.undo() + + monkeypatch.setattr(PluginModelManager, "invoke_llm", MockModelClass.invoke_llm) + monkeypatch.setattr(PluginModelManager, "fetch_model_providers", MockModelClass.fetch_model_providers) + monkeypatch.setattr(PluginModelManager, "get_model_schema", MockModelClass.get_model_schema) + + return unpatch + + +MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" + + +@pytest.fixture +def setup_model_mock(monkeypatch): + if MOCK: + unpatch = mock_plugin_daemon(monkeypatch) + + yield + + if MOCK: + unpatch() diff --git a/api/tests/integration_tests/model_runtime/__mock/plugin_model.py b/api/tests/integration_tests/model_runtime/__mock/plugin_model.py new file mode 100644 index 00000000000000..50913662e293da --- /dev/null +++ b/api/tests/integration_tests/model_runtime/__mock/plugin_model.py @@ -0,0 +1,249 @@ +import datetime +import uuid +from collections.abc import Generator, Sequence +from decimal import Decimal +from json import dumps + +# import monkeypatch +from typing import Optional + +from core.model_runtime.entities.common_entities import I18nObject +from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage +from core.model_runtime.entities.message_entities import AssistantPromptMessage, PromptMessage, PromptMessageTool +from core.model_runtime.entities.model_entities import ( + AIModelEntity, + FetchFrom, + ModelFeature, + ModelPropertyKey, + ModelType, +) +from core.model_runtime.entities.provider_entities import ConfigurateMethod, ProviderEntity +from core.plugin.entities.plugin_daemon import PluginModelProviderEntity +from core.plugin.manager.model import PluginModelManager + + +class MockModelClass(PluginModelManager): + def fetch_model_providers(self, tenant_id: str) -> Sequence[PluginModelProviderEntity]: + """ + Fetch model providers for the given tenant. + """ + return [ + PluginModelProviderEntity( + id=uuid.uuid4().hex, + created_at=datetime.datetime.now(), + updated_at=datetime.datetime.now(), + provider="openai", + tenant_id=tenant_id, + plugin_unique_identifier="langgenius/openai/openai", + plugin_id="langgenius/openai", + declaration=ProviderEntity( + provider="openai", + label=I18nObject( + en_US="OpenAI", + zh_Hans="OpenAI", + ), + description=I18nObject( + en_US="OpenAI", + zh_Hans="OpenAI", + ), + icon_small=I18nObject( + en_US="https://example.com/icon_small.png", + zh_Hans="https://example.com/icon_small.png", + ), + icon_large=I18nObject( + en_US="https://example.com/icon_large.png", + zh_Hans="https://example.com/icon_large.png", + ), + supported_model_types=[ModelType.LLM], + configurate_methods=[ConfigurateMethod.PREDEFINED_MODEL], + models=[ + AIModelEntity( + model="gpt-3.5-turbo", + label=I18nObject( + en_US="gpt-3.5-turbo", + zh_Hans="gpt-3.5-turbo", + ), + model_type=ModelType.LLM, + fetch_from=FetchFrom.PREDEFINED_MODEL, + model_properties={}, + features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL], + ), + AIModelEntity( + model="gpt-3.5-turbo-instruct", + label=I18nObject( + en_US="gpt-3.5-turbo-instruct", + zh_Hans="gpt-3.5-turbo-instruct", + ), + model_type=ModelType.LLM, + fetch_from=FetchFrom.PREDEFINED_MODEL, + model_properties={ + ModelPropertyKey.MODE: LLMMode.COMPLETION, + }, + features=[], + ), + ], + ), + ) + ] + + def get_model_schema( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model_type: str, + model: str, + credentials: dict, + ) -> AIModelEntity | None: + """ + Get model schema + """ + return AIModelEntity( + model=model, + label=I18nObject( + en_US="OpenAI", + zh_Hans="OpenAI", + ), + model_type=ModelType(model_type), + fetch_from=FetchFrom.PREDEFINED_MODEL, + model_properties={}, + features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL] if model == "gpt-3.5-turbo" else [], + ) + + @staticmethod + def generate_function_call( + tools: Optional[list[PromptMessageTool]], + ) -> Optional[AssistantPromptMessage.ToolCall]: + if not tools or len(tools) == 0: + return None + function: PromptMessageTool = tools[0] + function_name = function.name + function_parameters = function.parameters + function_parameters_type = function_parameters["type"] + if function_parameters_type != "object": + return None + function_parameters_properties = function_parameters["properties"] + function_parameters_required = function_parameters["required"] + parameters = {} + for parameter_name, parameter in function_parameters_properties.items(): + if parameter_name not in function_parameters_required: + continue + parameter_type = parameter["type"] + if parameter_type == "string": + if "enum" in parameter: + if len(parameter["enum"]) == 0: + continue + parameters[parameter_name] = parameter["enum"][0] + else: + parameters[parameter_name] = "kawaii" + elif parameter_type == "integer": + parameters[parameter_name] = 114514 + elif parameter_type == "number": + parameters[parameter_name] = 1919810.0 + elif parameter_type == "boolean": + parameters[parameter_name] = True + + return AssistantPromptMessage.ToolCall( + id=str(uuid.uuid4()), + type="function", + function=AssistantPromptMessage.ToolCall.ToolCallFunction( + name=function_name, + arguments=dumps(parameters), + ), + ) + + @staticmethod + def mocked_chat_create_sync( + model: str, + prompt_messages: list[PromptMessage], + tools: Optional[list[PromptMessageTool]] = None, + ) -> LLMResult: + tool_call = MockModelClass.generate_function_call(tools=tools) + + return LLMResult( + id=str(uuid.uuid4()), + model=model, + prompt_messages=prompt_messages, + message=AssistantPromptMessage(content="elaina", tool_calls=[tool_call] if tool_call else []), + usage=LLMUsage( + prompt_tokens=2, + completion_tokens=1, + total_tokens=3, + prompt_unit_price=Decimal(0.0001), + completion_unit_price=Decimal(0.0002), + prompt_price_unit=Decimal(1), + prompt_price=Decimal(0.0001), + completion_price_unit=Decimal(1), + completion_price=Decimal(0.0002), + total_price=Decimal(0.0003), + currency="USD", + latency=0.001, + ), + ) + + @staticmethod + def mocked_chat_create_stream( + model: str, + prompt_messages: list[PromptMessage], + tools: Optional[list[PromptMessageTool]] = None, + ) -> Generator[LLMResultChunk, None, None]: + tool_call = MockModelClass.generate_function_call(tools=tools) + + full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```" + for i in range(0, len(full_text) + 1): + if i == len(full_text): + yield LLMResultChunk( + model=model, + prompt_messages=prompt_messages, + delta=LLMResultChunkDelta( + index=0, + message=AssistantPromptMessage( + content="", + tool_calls=[tool_call] if tool_call else [], + ), + ), + ) + else: + yield LLMResultChunk( + model=model, + prompt_messages=prompt_messages, + delta=LLMResultChunkDelta( + index=0, + message=AssistantPromptMessage( + content=full_text[i], + tool_calls=[tool_call] if tool_call else [], + ), + usage=LLMUsage( + prompt_tokens=2, + completion_tokens=17, + total_tokens=19, + prompt_unit_price=Decimal(0.0001), + completion_unit_price=Decimal(0.0002), + prompt_price_unit=Decimal(1), + prompt_price=Decimal(0.0001), + completion_price_unit=Decimal(1), + completion_price=Decimal(0.0002), + total_price=Decimal(0.0003), + currency="USD", + latency=0.001, + ), + ), + ) + + def invoke_llm( + self: PluginModelManager, + *, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + model: str, + credentials: dict, + prompt_messages: list[PromptMessage], + model_parameters: Optional[dict] = None, + tools: Optional[list[PromptMessageTool]] = None, + stop: Optional[list[str]] = None, + stream: bool = True, + ): + return MockModelClass.mocked_chat_create_stream(model=model, prompt_messages=prompt_messages, tools=tools) diff --git a/api/tests/integration_tests/model_runtime/__mock/xinference.py b/api/tests/integration_tests/model_runtime/__mock/xinference.py deleted file mode 100644 index e2abaa52b939a6..00000000000000 --- a/api/tests/integration_tests/model_runtime/__mock/xinference.py +++ /dev/null @@ -1,169 +0,0 @@ -import os -import re -from typing import Union - -import pytest -from _pytest.monkeypatch import MonkeyPatch -from requests import Response -from requests.sessions import Session -from xinference_client.client.restful.restful_client import ( # type: ignore - Client, - RESTfulChatModelHandle, - RESTfulEmbeddingModelHandle, - RESTfulGenerateModelHandle, - RESTfulRerankModelHandle, -) -from xinference_client.types import Embedding, EmbeddingData, EmbeddingUsage # type: ignore - - -class MockXinferenceClass: - def get_chat_model(self: Client, model_uid: str) -> Union[RESTfulGenerateModelHandle, RESTfulChatModelHandle]: - if not re.match(r"https?:\/\/[^\s\/$.?#].[^\s]*$", self.base_url): - raise RuntimeError("404 Not Found") - - if model_uid == "generate": - return RESTfulGenerateModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - if model_uid == "chat": - return RESTfulChatModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - if model_uid == "embedding": - return RESTfulEmbeddingModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - if model_uid == "rerank": - return RESTfulRerankModelHandle(model_uid, base_url=self.base_url, auth_headers={}) - raise RuntimeError("404 Not Found") - - def get(self: Session, url: str, **kwargs): - response = Response() - if "v1/models/" in url: - # get model uid - model_uid = url.split("/")[-1] or "" - if not re.match( - r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", model_uid - ) and model_uid not in {"generate", "chat", "embedding", "rerank"}: - response.status_code = 404 - response._content = b"{}" - return response - - # check if url is valid - if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", url): - response.status_code = 404 - response._content = b"{}" - return response - - if model_uid in {"generate", "chat"}: - response.status_code = 200 - response._content = b"""{ - "model_type": "LLM", - "address": "127.0.0.1:43877", - "accelerators": [ - "0", - "1" - ], - "model_name": "chatglm3-6b", - "model_lang": [ - "en" - ], - "model_ability": [ - "generate", - "chat" - ], - "model_description": "latest chatglm3", - "model_format": "pytorch", - "model_size_in_billions": 7, - "quantization": "none", - "model_hub": "huggingface", - "revision": null, - "context_length": 2048, - "replica": 1 - }""" - return response - - elif model_uid == "embedding": - response.status_code = 200 - response._content = b"""{ - "model_type": "embedding", - "address": "127.0.0.1:43877", - "accelerators": [ - "0", - "1" - ], - "model_name": "bge", - "model_lang": [ - "en" - ], - "revision": null, - "max_tokens": 512 - }""" - return response - - elif "v1/cluster/auth" in url: - response.status_code = 200 - response._content = b"""{ - "auth": true - }""" - return response - - def _check_cluster_authenticated(self): - self._cluster_authed = True - - def rerank( - self: RESTfulRerankModelHandle, documents: list[str], query: str, top_n: int, return_documents: bool - ) -> dict: - # check if self._model_uid is a valid uuid - if ( - not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid) - and self._model_uid != "rerank" - ): - raise RuntimeError("404 Not Found") - - if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._base_url): - raise RuntimeError("404 Not Found") - - if top_n is None: - top_n = 1 - - return { - "results": [ - {"index": i, "document": doc, "relevance_score": 0.9} for i, doc in enumerate(documents[:top_n]) - ] - } - - def create_embedding(self: RESTfulGenerateModelHandle, input: Union[str, list[str]], **kwargs) -> dict: - # check if self._model_uid is a valid uuid - if ( - not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid) - and self._model_uid != "embedding" - ): - raise RuntimeError("404 Not Found") - - if isinstance(input, str): - input = [input] - ipt_len = len(input) - - embedding = Embedding( - object="list", - model=self._model_uid, - data=[ - EmbeddingData(index=i, object="embedding", embedding=[1919.810 for _ in range(768)]) - for i in range(ipt_len) - ], - usage=EmbeddingUsage(prompt_tokens=ipt_len, total_tokens=ipt_len), - ) - - return embedding - - -MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" - - -@pytest.fixture -def setup_xinference_mock(request, monkeypatch: MonkeyPatch): - if MOCK: - monkeypatch.setattr(Client, "get_model", MockXinferenceClass.get_chat_model) - monkeypatch.setattr(Client, "_check_cluster_authenticated", MockXinferenceClass._check_cluster_authenticated) - monkeypatch.setattr(Session, "get", MockXinferenceClass.get) - monkeypatch.setattr(RESTfulEmbeddingModelHandle, "create_embedding", MockXinferenceClass.create_embedding) - monkeypatch.setattr(RESTfulRerankModelHandle, "rerank", MockXinferenceClass.rerank) - yield - - if MOCK: - monkeypatch.undo() diff --git a/api/tests/integration_tests/model_runtime/anthropic/__init__.py b/api/tests/integration_tests/model_runtime/anthropic/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/anthropic/test_llm.py b/api/tests/integration_tests/model_runtime/anthropic/test_llm.py deleted file mode 100644 index 8f7e9ec48743bf..00000000000000 --- a/api/tests/integration_tests/model_runtime/anthropic/test_llm.py +++ /dev/null @@ -1,92 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.anthropic.llm.llm import AnthropicLargeLanguageModel -from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock - - -@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) -def test_validate_credentials(setup_anthropic_mock): - model = AnthropicLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="claude-instant-1.2", credentials={"anthropic_api_key": "invalid_key"}) - - model.validate_credentials( - model="claude-instant-1.2", credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")} - ) - - -@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) -def test_invoke_model(setup_anthropic_mock): - model = AnthropicLargeLanguageModel() - - response = model.invoke( - model="claude-instant-1.2", - credentials={ - "anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY"), - "anthropic_api_url": os.environ.get("ANTHROPIC_API_URL"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) -def test_invoke_stream_model(setup_anthropic_mock): - model = AnthropicLargeLanguageModel() - - response = model.invoke( - model="claude-instant-1.2", - credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = AnthropicLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="claude-instant-1.2", - credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 18 diff --git a/api/tests/integration_tests/model_runtime/anthropic/test_provider.py b/api/tests/integration_tests/model_runtime/anthropic/test_provider.py deleted file mode 100644 index 6f1e50f431849f..00000000000000 --- a/api/tests/integration_tests/model_runtime/anthropic/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.anthropic.anthropic import AnthropicProvider -from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock - - -@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) -def test_validate_provider_credentials(setup_anthropic_mock): - provider = AnthropicProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"anthropic_api_key": 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b/api/tests/integration_tests/model_runtime/azure_ai_studio/test_llm.py deleted file mode 100644 index b995077984e910..00000000000000 --- a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_llm.py +++ /dev/null @@ -1,109 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.azure_ai_studio.llm.llm import AzureAIStudioLargeLanguageModel - - -@pytest.mark.parametrize("setup_azure_ai_studio_mock", [["chat"]], indirect=True) -def test_validate_credentials(setup_azure_ai_studio_mock): - model = AzureAIStudioLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="gpt-35-turbo", - credentials={"api_key": "invalid_key", "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE")}, - ) - - model.validate_credentials( - model="gpt-35-turbo", - credentials={ - "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"), - "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"), - }, - ) - - -@pytest.mark.parametrize("setup_azure_ai_studio_mock", [["chat"]], indirect=True) -def test_invoke_model(setup_azure_ai_studio_mock): - model = AzureAIStudioLargeLanguageModel() - - result = model.invoke( - model="gpt-35-turbo", - credentials={ - "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"), - "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_azure_ai_studio_mock", [["chat"]], indirect=True) -def test_invoke_stream_model(setup_azure_ai_studio_mock): - model = AzureAIStudioLargeLanguageModel() - - result = model.invoke( - model="gpt-35-turbo", - credentials={ - "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"), - "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - assert chunk.delta.usage.completion_tokens > 0 - - -def test_get_num_tokens(): - model = AzureAIStudioLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="gpt-35-turbo", - credentials={ - "api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"), - "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_provider.py b/api/tests/integration_tests/model_runtime/azure_ai_studio/test_provider.py deleted file mode 100644 index 8afe38b09b9f02..00000000000000 --- a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.azure_ai_studio.azure_ai_studio import AzureAIStudioProvider - - -def test_validate_provider_credentials(): - provider = AzureAIStudioProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials( - credentials={"api_key": os.getenv("AZURE_AI_STUDIO_API_KEY"), "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE")} - ) diff --git a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_rerank.py b/api/tests/integration_tests/model_runtime/azure_ai_studio/test_rerank.py deleted file mode 100644 index 4d72327c0ec43c..00000000000000 --- a/api/tests/integration_tests/model_runtime/azure_ai_studio/test_rerank.py +++ /dev/null @@ -1,42 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.azure_ai_studio.rerank.rerank import AzureRerankModel - - -def test_validate_credentials(): - model = AzureRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="azure-ai-studio-rerank-v1", - credentials={"api_key": "invalid_key", "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE")}, - ) - - -def test_invoke_model(): - model = AzureRerankModel() - - result = model.invoke( - model="azure-ai-studio-rerank-v1", - credentials={ - "api_key": os.getenv("AZURE_AI_STUDIO_JWT_TOKEN"), - "api_base": os.getenv("AZURE_AI_STUDIO_API_BASE"), - }, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 1 - assert result.docs[0].score >= 0.8 diff --git a/api/tests/integration_tests/model_runtime/azure_openai/__init__.py b/api/tests/integration_tests/model_runtime/azure_openai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py b/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py deleted file mode 100644 index 216c50a1823c8d..00000000000000 --- a/api/tests/integration_tests/model_runtime/azure_openai/test_llm.py +++ /dev/null @@ -1,292 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.azure_openai.llm.llm import AzureOpenAILargeLanguageModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_credentials_for_chat_model(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="gpt35", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": "invalid_key", - "base_model_name": "gpt-35-turbo", - }, - ) - - model.validate_credentials( - model="gpt35", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-35-turbo", - }, - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) -def test_validate_credentials_for_completion_model(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="gpt-35-turbo-instruct", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": "invalid_key", - "base_model_name": "gpt-35-turbo-instruct", - }, - ) - - model.validate_credentials( - model="gpt-35-turbo-instruct", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-35-turbo-instruct", - }, - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) -def test_invoke_completion_model(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-35-turbo-instruct", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-35-turbo-instruct", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.0, "max_tokens": 1}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) -def test_invoke_stream_completion_model(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-35-turbo-instruct", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-35-turbo-instruct", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - result = model.invoke( - model="gpt35", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-35-turbo", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.0, - "top_p": 1.0, - "presence_penalty": 0.0, - "frequency_penalty": 0.0, - "max_tokens": 10, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_stream_chat_model(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - result = model.invoke( - model="gpt35", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-35-turbo", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - assert chunk.delta.usage.completion_tokens > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model_with_vision(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-4v", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-4-vision-preview", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content=[ - TextPromptMessageContent( - data="Hello World!", - ), - ImagePromptMessageContent( - mime_type="image/png", - format="png", - 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", - ), - ] - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model_with_tools(setup_openai_mock): - model = AzureOpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-35-turbo", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "gpt-35-turbo", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content="what's the weather today in London?", - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - PromptMessageTool( - name="get_stock_price", - description="Get the current stock price", - parameters={ - "type": "object", - "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, - "required": ["symbol"], - }, - ), - ], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert isinstance(result.message, AssistantPromptMessage) - assert len(result.message.tool_calls) > 0 - - -def test_get_num_tokens(): - model = AzureOpenAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="gpt-35-turbo-instruct", - credentials={"base_model_name": "gpt-35-turbo-instruct"}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 3 - - num_tokens = model.get_num_tokens( - model="gpt35", - credentials={"base_model_name": "gpt-35-turbo"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py deleted file mode 100644 index a1ae2b2e5b740c..00000000000000 --- a/api/tests/integration_tests/model_runtime/azure_openai/test_text_embedding.py +++ /dev/null @@ -1,62 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.azure_openai.text_embedding.text_embedding import AzureOpenAITextEmbeddingModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_validate_credentials(setup_openai_mock): - model = AzureOpenAITextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="embedding", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": "invalid_key", - "base_model_name": "text-embedding-ada-002", - }, - ) - - model.validate_credentials( - model="embedding", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "text-embedding-ada-002", - }, - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_invoke_model(setup_openai_mock): - model = AzureOpenAITextEmbeddingModel() - - result = model.invoke( - model="embedding", - credentials={ - "openai_api_base": os.environ.get("AZURE_OPENAI_API_BASE"), - "openai_api_key": os.environ.get("AZURE_OPENAI_API_KEY"), - "base_model_name": "text-embedding-ada-002", - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_get_num_tokens(): - model = AzureOpenAITextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="embedding", credentials={"base_model_name": "text-embedding-ada-002"}, texts=["hello", "world"] - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/baichuan/__init__.py b/api/tests/integration_tests/model_runtime/baichuan/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_llm.py b/api/tests/integration_tests/model_runtime/baichuan/test_llm.py deleted file mode 100644 index fe7fe968911439..00000000000000 --- a/api/tests/integration_tests/model_runtime/baichuan/test_llm.py +++ /dev/null @@ -1,172 +0,0 @@ -import os -from collections.abc import Generator -from time import sleep - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.baichuan.llm.llm import BaichuanLanguageModel - - -def test_predefined_models(): - model = BaichuanLanguageModel() - model_schemas = model.predefined_models() - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -def test_validate_credentials_for_chat_model(): - sleep(3) - model = BaichuanLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="baichuan2-turbo", credentials={"api_key": "invalid_key", "secret_key": "invalid_key"} - ) - - model.validate_credentials( - model="baichuan2-turbo", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), - }, - ) - - -def test_invoke_model(): - sleep(3) - model = BaichuanLanguageModel() - - response = model.invoke( - model="baichuan2-turbo", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_model_with_system_message(): - sleep(3) - model = BaichuanLanguageModel() - - response = model.invoke( - model="baichuan2-turbo", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), - }, - prompt_messages=[ - SystemPromptMessage(content="请记住你是Kasumi。"), - UserPromptMessage(content="现在告诉我你是谁？"), - ], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_stream_model(): - sleep(3) - model = BaichuanLanguageModel() - - response = model.invoke( - model="baichuan2-turbo", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_invoke_with_search(): - sleep(3) - model = BaichuanLanguageModel() - - response = model.invoke( - model="baichuan2-turbo", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), - }, - prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - "with_search_enhance": True, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - total_message = "" - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True - total_message += chunk.delta.message.content - - assert "不" not in total_message - - -def test_get_num_tokens(): - sleep(3) - model = BaichuanLanguageModel() - - response = model.get_num_tokens( - model="baichuan2-turbo", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - "secret_key": os.environ.get("BAICHUAN_SECRET_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - tools=[], - ) - - assert isinstance(response, int) - assert response == 9 diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_provider.py b/api/tests/integration_tests/model_runtime/baichuan/test_provider.py deleted file mode 100644 index 4036edfb7a7062..00000000000000 --- a/api/tests/integration_tests/model_runtime/baichuan/test_provider.py +++ /dev/null @@ -1,15 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.baichuan.baichuan import BaichuanProvider - - -def test_validate_provider_credentials(): - provider = BaichuanProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"api_key": "hahahaha"}) - - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("BAICHUAN_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py b/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py deleted file mode 100644 index cbc63f3978fb99..00000000000000 --- a/api/tests/integration_tests/model_runtime/baichuan/test_text_embedding.py +++ /dev/null @@ -1,87 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.baichuan.text_embedding.text_embedding import BaichuanTextEmbeddingModel - - -def test_validate_credentials(): - model = BaichuanTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="baichuan-text-embedding", credentials={"api_key": "invalid_key"}) - - model.validate_credentials( - model="baichuan-text-embedding", credentials={"api_key": os.environ.get("BAICHUAN_API_KEY")} - ) - - -def test_invoke_model(): - model = BaichuanTextEmbeddingModel() - - result = model.invoke( - model="baichuan-text-embedding", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 6 - - -def test_get_num_tokens(): - model = BaichuanTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="baichuan-text-embedding", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 - - -def test_max_chunks(): - model = BaichuanTextEmbeddingModel() - - result = model.invoke( - model="baichuan-text-embedding", - credentials={ - "api_key": os.environ.get("BAICHUAN_API_KEY"), - }, - texts=[ - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - ], - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 22 diff --git a/api/tests/integration_tests/model_runtime/bedrock/__init__.py b/api/tests/integration_tests/model_runtime/bedrock/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/bedrock/test_llm.py b/api/tests/integration_tests/model_runtime/bedrock/test_llm.py deleted file mode 100644 index c19ec35a6e45fc..00000000000000 --- a/api/tests/integration_tests/model_runtime/bedrock/test_llm.py +++ /dev/null @@ -1,103 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.bedrock.llm.llm import BedrockLargeLanguageModel - - -def test_validate_credentials(): - model = BedrockLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="meta.llama2-13b-chat-v1", credentials={"anthropic_api_key": "invalid_key"}) - - model.validate_credentials( - model="meta.llama2-13b-chat-v1", - credentials={ - "aws_region": os.getenv("AWS_REGION"), - "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), - }, - ) - - -def test_invoke_model(): - model = BedrockLargeLanguageModel() - - response = model.invoke( - model="meta.llama2-13b-chat-v1", - credentials={ - "aws_region": os.getenv("AWS_REGION"), - "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "top_p": 1.0, "max_tokens_to_sample": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = BedrockLargeLanguageModel() - - response = model.invoke( - model="meta.llama2-13b-chat-v1", - credentials={ - "aws_region": os.getenv("AWS_REGION"), - "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens_to_sample": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - print(chunk) - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = BedrockLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="meta.llama2-13b-chat-v1", - credentials={ - "aws_region": os.getenv("AWS_REGION"), - "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), - }, - messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 18 diff --git a/api/tests/integration_tests/model_runtime/bedrock/test_provider.py b/api/tests/integration_tests/model_runtime/bedrock/test_provider.py deleted file mode 100644 index 080727829e9e2f..00000000000000 --- a/api/tests/integration_tests/model_runtime/bedrock/test_provider.py +++ /dev/null @@ -1,21 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.bedrock.bedrock import BedrockProvider - - -def test_validate_provider_credentials(): - provider = BedrockProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials( - credentials={ - "aws_region": os.getenv("AWS_REGION"), - "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), - } - ) diff --git a/api/tests/integration_tests/model_runtime/chatglm/__init__.py b/api/tests/integration_tests/model_runtime/chatglm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/chatglm/test_llm.py b/api/tests/integration_tests/model_runtime/chatglm/test_llm.py deleted file mode 100644 index a7c5229e051418..00000000000000 --- a/api/tests/integration_tests/model_runtime/chatglm/test_llm.py +++ /dev/null @@ -1,229 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.chatglm.llm.llm import ChatGLMLargeLanguageModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -def test_predefined_models(): - model = ChatGLMLargeLanguageModel() - model_schemas = model.predefined_models() - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_credentials_for_chat_model(setup_openai_mock): - model = ChatGLMLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="chatglm2-6b", credentials={"api_base": "invalid_key"}) - - model.validate_credentials(model="chatglm2-6b", credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_model(setup_openai_mock): - model = ChatGLMLargeLanguageModel() - - response = model.invoke( - model="chatglm2-6b", - credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_stream_model(setup_openai_mock): - model = ChatGLMLargeLanguageModel() - - response = model.invoke( - model="chatglm2-6b", - credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_stream_model_with_functions(setup_openai_mock): - model = ChatGLMLargeLanguageModel() - - response = model.invoke( - model="chatglm3-6b", - credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, - prompt_messages=[ - SystemPromptMessage( - content="你是一个天气机器人，你不知道今天的天气怎么样，你需要通过调用一个函数来获取天气信息。" - ), - UserPromptMessage(content="波士顿天气如何？"), - ], - model_parameters={ - "temperature": 0, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=True, - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, - ) - ], - ) - - assert isinstance(response, Generator) - - call: LLMResultChunk = None - chunks = [] - - for chunk in response: - chunks.append(chunk) - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - if chunk.delta.message.tool_calls and len(chunk.delta.message.tool_calls) > 0: - call = chunk - break - - assert call is not None - assert call.delta.message.tool_calls[0].function.name == "get_current_weather" - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_model_with_functions(setup_openai_mock): - model = ChatGLMLargeLanguageModel() - - response = model.invoke( - model="chatglm3-6b", - credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, - prompt_messages=[UserPromptMessage(content="What is the weather like in San Francisco?")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ) - ], - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - assert response.message.tool_calls[0].function.name == "get_current_weather" - - -def test_get_num_tokens(): - model = ChatGLMLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="chatglm2-6b", - credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ) - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 77 - - num_tokens = model.get_num_tokens( - model="chatglm2-6b", - credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/chatglm/test_provider.py b/api/tests/integration_tests/model_runtime/chatglm/test_provider.py deleted file mode 100644 index 7907805d072772..00000000000000 --- a/api/tests/integration_tests/model_runtime/chatglm/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.chatglm.chatglm import ChatGLMProvider -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_provider_credentials(setup_openai_mock): - provider = ChatGLMProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"api_base": "hahahaha"}) - - provider.validate_provider_credentials(credentials={"api_base": os.environ.get("CHATGLM_API_BASE")}) diff --git a/api/tests/integration_tests/model_runtime/cohere/__init__.py b/api/tests/integration_tests/model_runtime/cohere/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/cohere/test_llm.py b/api/tests/integration_tests/model_runtime/cohere/test_llm.py deleted file mode 100644 index b7f707e935dbea..00000000000000 --- a/api/tests/integration_tests/model_runtime/cohere/test_llm.py +++ /dev/null @@ -1,191 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.cohere.llm.llm import CohereLargeLanguageModel - - -def test_validate_credentials_for_chat_model(): - model = CohereLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="command-light-chat", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="command-light-chat", credentials={"api_key": os.environ.get("COHERE_API_KEY")}) - - -def test_validate_credentials_for_completion_model(): - model = CohereLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="command-light", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="command-light", credentials={"api_key": os.environ.get("COHERE_API_KEY")}) - - -def test_invoke_completion_model(): - model = CohereLargeLanguageModel() - - credentials = {"api_key": os.environ.get("COHERE_API_KEY")} - - result = model.invoke( - model="command-light", - credentials=credentials, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.0, "max_tokens": 1}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - assert model._num_tokens_from_string("command-light", credentials, result.message.content) == 1 - - -def test_invoke_stream_completion_model(): - model = CohereLargeLanguageModel() - - result = model.invoke( - model="command-light", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_invoke_chat_model(): - model = CohereLargeLanguageModel() - - result = model.invoke( - model="command-light-chat", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.0, - "p": 0.99, - "presence_penalty": 0.0, - "frequency_penalty": 0.0, - "max_tokens": 10, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -def test_invoke_stream_chat_model(): - model = CohereLargeLanguageModel() - - result = model.invoke( - model="command-light-chat", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - assert chunk.delta.usage.completion_tokens > 0 - - -def test_get_num_tokens(): - model = CohereLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="command-light", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 3 - - num_tokens = model.get_num_tokens( - model="command-light-chat", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 15 - - -def test_fine_tuned_model(): - model = CohereLargeLanguageModel() - - # test invoke - result = model.invoke( - model="85ec47be-6139-4f75-a4be-0f0ec1ef115c-ft", - credentials={"api_key": os.environ.get("COHERE_API_KEY"), "mode": "completion"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - - -def test_fine_tuned_chat_model(): - model = CohereLargeLanguageModel() - - # test invoke - result = model.invoke( - model="94f2d55a-4c79-4c00-bde4-23962e74b170-ft", - credentials={"api_key": os.environ.get("COHERE_API_KEY"), "mode": "chat"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) diff --git a/api/tests/integration_tests/model_runtime/cohere/test_provider.py b/api/tests/integration_tests/model_runtime/cohere/test_provider.py deleted file mode 100644 index fb7e6d34984a61..00000000000000 --- a/api/tests/integration_tests/model_runtime/cohere/test_provider.py +++ /dev/null @@ -1,15 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.cohere.cohere import CohereProvider - - -def test_validate_provider_credentials(): - provider = CohereProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("COHERE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/cohere/test_rerank.py b/api/tests/integration_tests/model_runtime/cohere/test_rerank.py deleted file mode 100644 index a1b6922128570e..00000000000000 --- a/api/tests/integration_tests/model_runtime/cohere/test_rerank.py +++ /dev/null @@ -1,40 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.cohere.rerank.rerank import CohereRerankModel - - -def test_validate_credentials(): - model = CohereRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="rerank-english-v2.0", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="rerank-english-v2.0", credentials={"api_key": os.environ.get("COHERE_API_KEY")}) - - -def test_invoke_model(): - model = CohereRerankModel() - - result = model.invoke( - model="rerank-english-v2.0", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) " - "is the capital of the United States. It is a federal district. The President of the USA and many major " - "national government offices are in the territory. This makes it the political center of the United " - "States of America.", - ], - score_threshold=0.8, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 1 - assert result.docs[0].score >= 0.8 diff --git a/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py b/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py deleted file mode 100644 index ae26d36635d1b5..00000000000000 --- a/api/tests/integration_tests/model_runtime/cohere/test_text_embedding.py +++ /dev/null @@ -1,45 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.cohere.text_embedding.text_embedding import CohereTextEmbeddingModel - - -def test_validate_credentials(): - model = CohereTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="embed-multilingual-v3.0", credentials={"api_key": "invalid_key"}) - - model.validate_credentials( - model="embed-multilingual-v3.0", credentials={"api_key": os.environ.get("COHERE_API_KEY")} - ) - - -def test_invoke_model(): - model = CohereTextEmbeddingModel() - - result = model.invoke( - model="embed-multilingual-v3.0", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 4 - assert result.usage.total_tokens == 811 - - -def test_get_num_tokens(): - model = CohereTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="embed-multilingual-v3.0", - credentials={"api_key": os.environ.get("COHERE_API_KEY")}, - texts=["hello", "world"], - ) - - assert num_tokens == 3 diff --git a/api/tests/integration_tests/model_runtime/fireworks/__init__.py b/api/tests/integration_tests/model_runtime/fireworks/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/fireworks/test_llm.py b/api/tests/integration_tests/model_runtime/fireworks/test_llm.py deleted file mode 100644 index 699ca293a2fca8..00000000000000 --- a/api/tests/integration_tests/model_runtime/fireworks/test_llm.py +++ /dev/null @@ -1,186 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.fireworks.llm.llm import FireworksLargeLanguageModel - -"""FOR MOCK FIXTURES, DO NOT REMOVE""" -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -def test_predefined_models(): - model = FireworksLargeLanguageModel() - model_schemas = model.predefined_models() - - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_credentials_for_chat_model(setup_openai_mock): - model = FireworksLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - # model name to gpt-3.5-turbo because of mocking - model.validate_credentials(model="gpt-3.5-turbo", credentials={"fireworks_api_key": "invalid_key"}) - - model.validate_credentials( - model="accounts/fireworks/models/llama-v3p1-8b-instruct", - credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}, - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model(setup_openai_mock): - model = FireworksLargeLanguageModel() - - result = model.invoke( - model="accounts/fireworks/models/llama-v3p1-8b-instruct", - credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.0, - "top_p": 1.0, - "presence_penalty": 0.0, - "frequency_penalty": 0.0, - "max_tokens": 10, - }, - stop=["How"], - stream=False, - user="foo", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model_with_tools(setup_openai_mock): - model = FireworksLargeLanguageModel() - - result = model.invoke( - model="accounts/fireworks/models/llama-v3p1-8b-instruct", - credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content="what's the weather today in London?", - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - PromptMessageTool( - name="get_stock_price", - description="Get the current stock price", - parameters={ - "type": "object", - "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, - "required": ["symbol"], - }, - ), - ], - stream=False, - user="foo", - ) - - assert isinstance(result, LLMResult) - assert isinstance(result.message, AssistantPromptMessage) - assert len(result.message.tool_calls) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_stream_chat_model(setup_openai_mock): - model = FireworksLargeLanguageModel() - - result = model.invoke( - model="accounts/fireworks/models/llama-v3p1-8b-instruct", - credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="foo", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - assert chunk.delta.usage.completion_tokens > 0 - - -def test_get_num_tokens(): - model = FireworksLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="accounts/fireworks/models/llama-v3p1-8b-instruct", - credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 10 - - num_tokens = model.get_num_tokens( - model="accounts/fireworks/models/llama-v3p1-8b-instruct", - credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - ], - ) - - assert num_tokens == 77 diff --git a/api/tests/integration_tests/model_runtime/fireworks/test_provider.py b/api/tests/integration_tests/model_runtime/fireworks/test_provider.py deleted file mode 100644 index a68cf1a1a8fbda..00000000000000 --- a/api/tests/integration_tests/model_runtime/fireworks/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.fireworks.fireworks import FireworksProvider -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_provider_credentials(setup_openai_mock): - provider = FireworksProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/fireworks/test_text_embedding.py b/api/tests/integration_tests/model_runtime/fireworks/test_text_embedding.py deleted file mode 100644 index 7bf723b3a93742..00000000000000 --- a/api/tests/integration_tests/model_runtime/fireworks/test_text_embedding.py +++ /dev/null @@ -1,54 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.fireworks.text_embedding.text_embedding import FireworksTextEmbeddingModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_validate_credentials(setup_openai_mock): - model = FireworksTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="nomic-ai/nomic-embed-text-v1.5", credentials={"fireworks_api_key": "invalid_key"} - ) - - model.validate_credentials( - model="nomic-ai/nomic-embed-text-v1.5", credentials={"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY")} - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_invoke_model(setup_openai_mock): - model = FireworksTextEmbeddingModel() - - result = model.invoke( - model="nomic-ai/nomic-embed-text-v1.5", - credentials={ - "fireworks_api_key": os.environ.get("FIREWORKS_API_KEY"), - }, - texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], - user="foo", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 4 - assert result.usage.total_tokens == 2 - - -def test_get_num_tokens(): - model = FireworksTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="nomic-ai/nomic-embed-text-v1.5", - credentials={ - "fireworks_api_key": os.environ.get("FIREWORKS_API_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/fishaudio/__init__.py b/api/tests/integration_tests/model_runtime/fishaudio/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/fishaudio/test_provider.py b/api/tests/integration_tests/model_runtime/fishaudio/test_provider.py deleted file mode 100644 index 3526574b613238..00000000000000 --- a/api/tests/integration_tests/model_runtime/fishaudio/test_provider.py +++ /dev/null @@ -1,33 +0,0 @@ -import os - -import httpx -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.fishaudio.fishaudio import FishAudioProvider -from tests.integration_tests.model_runtime.__mock.fishaudio import setup_fishaudio_mock - - -@pytest.mark.parametrize("setup_fishaudio_mock", [["list-models"]], indirect=True) -def test_validate_provider_credentials(setup_fishaudio_mock): - print("-----", httpx.get) - provider = FishAudioProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={ - "api_key": "bad_api_key", - "api_base": os.environ.get("FISH_AUDIO_API_BASE", "https://api.fish.audio"), - "use_public_models": "false", - "latency": "normal", - } - ) - - provider.validate_provider_credentials( - credentials={ - "api_key": os.environ.get("FISH_AUDIO_API_KEY", "test"), - "api_base": os.environ.get("FISH_AUDIO_API_BASE", "https://api.fish.audio"), - "use_public_models": "false", - "latency": "normal", - } - ) diff --git a/api/tests/integration_tests/model_runtime/fishaudio/test_tts.py b/api/tests/integration_tests/model_runtime/fishaudio/test_tts.py deleted file mode 100644 index f61fee28b98e30..00000000000000 --- a/api/tests/integration_tests/model_runtime/fishaudio/test_tts.py +++ /dev/null @@ -1,32 +0,0 @@ -import os - -import pytest - -from core.model_runtime.model_providers.fishaudio.tts.tts import ( - FishAudioText2SpeechModel, -) -from tests.integration_tests.model_runtime.__mock.fishaudio import setup_fishaudio_mock - - -@pytest.mark.parametrize("setup_fishaudio_mock", [["tts"]], indirect=True) -def test_invoke_model(setup_fishaudio_mock): - model = FishAudioText2SpeechModel() - - result = model.invoke( - model="tts-default", - tenant_id="test", - credentials={ - "api_key": os.environ.get("FISH_AUDIO_API_KEY", "test"), - "api_base": os.environ.get("FISH_AUDIO_API_BASE", "https://api.fish.audio"), - "use_public_models": "false", - "latency": "normal", - }, - content_text="Hello, world!", - voice="03397b4c4be74759b72533b663fbd001", - ) - - content = b"" - for chunk in result: - content += chunk - - assert content != b"" diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/__init__.py b/api/tests/integration_tests/model_runtime/gitee_ai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_llm.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_llm.py deleted file mode 100644 index 753c52ce31d452..00000000000000 --- a/api/tests/integration_tests/model_runtime/gitee_ai/test_llm.py +++ /dev/null @@ -1,132 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gitee_ai.llm.llm import GiteeAILargeLanguageModel - - -def test_predefined_models(): - model = GiteeAILargeLanguageModel() - model_schemas = model.predefined_models() - - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -def test_validate_credentials_for_chat_model(): - model = GiteeAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - # model name to gpt-3.5-turbo because of mocking - model.validate_credentials(model="gpt-3.5-turbo", credentials={"api_key": "invalid_key"}) - - model.validate_credentials( - model="Qwen2-7B-Instruct", - credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, - ) - - -def test_invoke_chat_model(): - model = GiteeAILargeLanguageModel() - - result = model.invoke( - model="Qwen2-7B-Instruct", - credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.0, - "top_p": 1.0, - "presence_penalty": 0.0, - "frequency_penalty": 0.0, - "max_tokens": 10, - "stream": False, - }, - stop=["How"], - stream=False, - user="foo", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -def test_invoke_stream_chat_model(): - model = GiteeAILargeLanguageModel() - - result = model.invoke( - model="Qwen2-7B-Instruct", - credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100, "stream": False}, - stream=True, - user="foo", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - - -def test_get_num_tokens(): - model = GiteeAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="Qwen2-7B-Instruct", - credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 10 - - num_tokens = model.get_num_tokens( - model="Qwen2-7B-Instruct", - credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - ], - ) - - assert num_tokens == 77 diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_provider.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_provider.py deleted file mode 100644 index f12ed54a457896..00000000000000 --- a/api/tests/integration_tests/model_runtime/gitee_ai/test_provider.py +++ /dev/null @@ -1,15 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gitee_ai.gitee_ai import GiteeAIProvider - - -def test_validate_provider_credentials(): - provider = GiteeAIProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"api_key": "invalid_key"}) - - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_rerank.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_rerank.py deleted file mode 100644 index 0e5914a61f7f43..00000000000000 --- a/api/tests/integration_tests/model_runtime/gitee_ai/test_rerank.py +++ /dev/null @@ -1,47 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gitee_ai.rerank.rerank import GiteeAIRerankModel - - -def test_validate_credentials(): - model = GiteeAIRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="bge-reranker-v2-m3", - credentials={"api_key": "invalid_key"}, - ) - - model.validate_credentials( - model="bge-reranker-v2-m3", - credentials={ - "api_key": os.environ.get("GITEE_AI_API_KEY"), - }, - ) - - -def test_invoke_model(): - model = GiteeAIRerankModel() - result = model.invoke( - model="bge-reranker-v2-m3", - credentials={ - "api_key": os.environ.get("GITEE_AI_API_KEY"), - }, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - top_n=1, - score_threshold=0.01, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].score >= 0.01 diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_speech2text.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_speech2text.py deleted file mode 100644 index 4a01453fdd1cda..00000000000000 --- a/api/tests/integration_tests/model_runtime/gitee_ai/test_speech2text.py +++ /dev/null @@ -1,45 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gitee_ai.speech2text.speech2text import GiteeAISpeech2TextModel - - -def test_validate_credentials(): - model = GiteeAISpeech2TextModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="whisper-base", - credentials={"api_key": "invalid_key"}, - ) - - model.validate_credentials( - model="whisper-base", - credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, - ) - - -def test_invoke_model(): - model = GiteeAISpeech2TextModel() - - # Get the directory of the current file - current_dir = os.path.dirname(os.path.abspath(__file__)) - - # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), "assets") - - # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, "audio.mp3") - - # Open the file and get the file object - with open(audio_file_path, "rb") as audio_file: - file = audio_file - - result = model.invoke( - model="whisper-base", credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}, file=file - ) - - assert isinstance(result, str) - assert result == "1 2 3 4 5 6 7 8 9 10" diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_text_embedding.py deleted file mode 100644 index 34648f0bc8ae78..00000000000000 --- a/api/tests/integration_tests/model_runtime/gitee_ai/test_text_embedding.py +++ /dev/null @@ -1,46 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gitee_ai.text_embedding.text_embedding import GiteeAIEmbeddingModel - - -def test_validate_credentials(): - model = GiteeAIEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="bge-large-zh-v1.5", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="bge-large-zh-v1.5", credentials={"api_key": os.environ.get("GITEE_AI_API_KEY")}) - - -def test_invoke_model(): - model = GiteeAIEmbeddingModel() - - result = model.invoke( - model="bge-large-zh-v1.5", - credentials={ - "api_key": os.environ.get("GITEE_AI_API_KEY"), - }, - texts=["hello", "world"], - user="user", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - - -def test_get_num_tokens(): - model = GiteeAIEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="bge-large-zh-v1.5", - credentials={ - "api_key": os.environ.get("GITEE_AI_API_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/gitee_ai/test_tts.py b/api/tests/integration_tests/model_runtime/gitee_ai/test_tts.py deleted file mode 100644 index 9f18161a7bb74e..00000000000000 --- a/api/tests/integration_tests/model_runtime/gitee_ai/test_tts.py +++ /dev/null @@ -1,23 +0,0 @@ -import os - -from core.model_runtime.model_providers.gitee_ai.tts.tts import GiteeAIText2SpeechModel - - -def test_invoke_model(): - model = GiteeAIText2SpeechModel() - - result = model.invoke( - model="speecht5_tts", - tenant_id="test", - credentials={ - "api_key": os.environ.get("GITEE_AI_API_KEY"), - }, - content_text="Hello, world!", - voice="", - ) - - content = b"" - for chunk in result: - content += chunk - - assert content != b"" diff --git a/api/tests/integration_tests/model_runtime/google/__init__.py b/api/tests/integration_tests/model_runtime/google/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/google/test_llm.py b/api/tests/integration_tests/model_runtime/google/test_llm.py deleted file mode 100644 index 65357be6586143..00000000000000 --- a/api/tests/integration_tests/model_runtime/google/test_llm.py +++ /dev/null @@ -1,183 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - SystemPromptMessage, - TextPromptMessageContent, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.google.llm.llm import GoogleLargeLanguageModel -from tests.integration_tests.model_runtime.__mock.google import setup_google_mock, setup_mock_redis - - -@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_validate_credentials(setup_google_mock): - model = GoogleLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="gemini-pro", credentials={"google_api_key": "invalid_key"}) - - model.validate_credentials(model="gemini-pro", credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}) - - -@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_invoke_model(setup_google_mock): - model = GoogleLargeLanguageModel() - - response = model.invoke( - model="gemini-1.5-pro", - credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Give me your worst dad joke or i will unplug you"), - AssistantPromptMessage( - content="Why did the scarecrow win an award? Because he was outstanding in his field!" - ), - UserPromptMessage( - content=[ - TextPromptMessageContent(data="ok something snarkier pls"), - TextPromptMessageContent(data="i may still unplug you"), - ] - ), - ], - model_parameters={"temperature": 0.5, "top_p": 1.0, "max_output_tokens": 2048}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_invoke_stream_model(setup_google_mock): - model = GoogleLargeLanguageModel() - - response = model.invoke( - model="gemini-1.5-pro", - credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Give me your worst dad joke or i will unplug you"), - AssistantPromptMessage( - content="Why did the scarecrow win an award? Because he was outstanding in his field!" - ), - UserPromptMessage( - content=[ - TextPromptMessageContent(data="ok something snarkier pls"), - TextPromptMessageContent(data="i may still unplug you"), - ] - ), - ], - model_parameters={"temperature": 0.2, "top_k": 5, "max_tokens": 2048}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_invoke_chat_model_with_vision(setup_google_mock, setup_mock_redis): - model = GoogleLargeLanguageModel() - - result = model.invoke( - model="gemini-1.5-pro", - credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content=[ - TextPromptMessageContent(data="what do you see?"), - ImagePromptMessageContent( - mime_type="image/png", - format="png", - 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8jU9LHoJYnwLUtgWN4ObDC7Kdr8Hp7d9qMTW8gt23V1zyvPrD1H56e9t+99vr9uJLprBDfaIw69U4dQRCIw2JdVIjbUzecj+7qYyPpZHiAbDaJwsXyMhQEQ0pq6sAp7hMS2XGqykdA2iy4EUtF6v206ur9k/fbNo//+frtt2OaW/rjxtmAaeNGqihBY5xfVQzQEZfoSH0KHgkrbD/CX6vPIqlSTU61vVCovRSbEwbIS851vj23Q+tff3vu/bzu5I7tvs4qVnADTa5FCbNC86qCLN2E1MxKKroYB2pgSz2RLbbVcVkSJhOKxIDjGxn+nSuqes2JlKuG8fA/IzPXazbj68X7et/27UfX7GifORwOuSju47h/c3beKfRFO74CNA04YP0ZT2/YzERFGojc9pmDG47/wyDZwJjiX4wwJNer1dZPJbs5/xzK5Ppzp7SQZBszNy22U7tX7/dtFdvJrv8aGE2cDJLoPycBgHSgICJUQLo8nmUo6y7oH0S5Lu/FGhDQULCfIooATw3yyOQQ46eYVpYiaBMTFtAFPR307r9y3fbdvsRfd5Rg6HJI2Lt1qaAF6TEqoxWdVdYSHawezCvAHLjW7Jh2QGcUkDDT4Og2OfSFRVkxipcAJUZARC5FVRbeRpB1hVY6r25XQHexIZ96Hfa++PTs4Dbi8rQg7imWQG27/uEgCTCssk/WWg7GwJWwDQ36PceGzQ+x7jOtgNogkIIpsZiFMdXoEfOPUlh3l5ulu2/X6bJ7Mc84Bw+xgOKzJqM0VKm8WYlVMqt61gFKNtQKeZ6o7Ls/aqEeYooJXDIZ9uiT0uZ5UxPUJNlYdoAK62qHfM7unz3/bb9/Ha+v3u/tn3AD0XOrnxAZdpNYZILgoxyGk4BqMCbssq66dXv6RdFkiB6Rj2u3N1npiMw1dQjF4oJW/kzy6VdMRFA9Xd8VvhCLxCyYUYkvhHZb7+fotvdUR6XmwXcYI1DangAA6yspgBj/dRjp6L+RbmSPaaxuuMnGEeVAhBF4pSapAFG5gUo60rAHmpVtcz0sR2aBZW8NAB9+W7dXr9N0dmPmUcu10pWrq7kQQvBQXn1dUsgoM4ej12TtyBknG51PEMGOV2TLLVZ/GLvLMBYHsYJhg7fuMBx6tq3LFu7aBxxD9jKFiO7Thbwcv7n5dS+/ML0eWEWcBqoptk+mEQp2aTG+rbmBYA+D6MyMwMAdepKsX5QpnglFZyZ5k4tDYsI/Y1pF7CRq22HoHXgGEOwgodvgH79INnW3tlFIVVQvkBXg1dvF3z27fkTGzw+zALOPZluVoVkV4yLHoBB3VBJUNyo6uEWXAyIkruC2OQjbVeppxkm8+iti2mySsM1EPYGKBcEyul3LKTW1+pr+wLRstwP0J8a2K95Txf/+6q1ZzeUDEXt/oFhHnA4fJYCBtawYlWmlsrJBEHhP43bi9Rq1Z0ymlK3Z/QCRqA5YfaNLZJWEACn929eluXlUGO8CgMrHWYi441S2tsFebLRL5RWL0e0nL64SEEf2sjMR4ZZwA0Ddfziclz1eN8yDn1qAaHSq3G0FEQXjABDo51sJVNyGnA0QlAPL4LOApzMo0mY1sUFbQBj8xTzYhKrROYF5VGIftR1uW3+3uiWU8XnBw7l3HIYVG/P/djYgMZoyrTJrci0n2qPZVnNFV913viW6btGzsXBT6aW3VKmsauVTFOc2DxpP5YJYLBBeCUixE71IlGBR2EF+6OugHbP12Ddoj29HgIPj+cxDiPDFGINzB8sKhLh0Ui4gOgDI8deb8FiwYxlteWhLHWTlmOzhkxLAObPIkFqS8+bbG5BdgWiAmJTwXdqZ7oysktzdKC/BWMWiAJNpyP0ZPTMItRy7fTi2RB4eDwLuIkpCma1gob/Dsw7zcKAMf3txiCot8c42ZCDPu3WAqRMJAGEk4cACaLzSZsFRhAE9QoAtXcwTX92XDT0sxTQXJYHdDJin0KfVN8PmzNvnOYBx5XNlik4giumihb7tJ60ezgNhgXuXgRNttxunZYAj7uzbL3nUA67rm5KJWrJCyTfIVwBMh3bTkD8TqFYp6uv8RwrgJpAZmHHScqv0qWeKT48NujhAuELekyYBdz9gXJQ53DvDh3tU62xTtN8bQhzzE9OccAK8wA2ez2k3cNtN7wM/RZs9M5NkNZoee0H2rmhLr8miPV9roAZtN1RHV/gDb7EoUtXKeXjYXUBN0oeFs8CbrtlhZRGPZSSZNyI9gA+TBFkelFNWxgEgCtG3wDiFqEr5Jz6y/U1DAM4QLxi2l7DNhl3w/epNTUFWGbXC7HrMQMz7WUbf8AaDQ46DYXuxLoJX6CFRzvuiPyJzCzgZIoKyqgKAx1yAGPQUWfa+GoDsqwDJNnHLF9juSz0i5VrpvqSwmsQul5dtyfrfX1zL3i0WdHHSjaKVjf0T5k7ABtxlEHbwxusgjydAY8N84BjvAx5GLfMqBW0VJEZ+pwKskQnbpnFHPzpwWo/bzkGvX51296+bu1v/+qL9usXT9rTJ07Bzh9k9HEPsxNhwhh6xLXKo3fXWf3iMkrBBz9nAbflbHm6ONxhXp8/NW26lkSleIEV9FBVI+o6ihjmffPDt+3v/+5Z+82vnsZw/fyercweB2d7wzA8mfuPEknpXTnHvQsoPd1v/aD8LODw+AxbAw/QjnEfv69u5kz6dtOiW2R6YmW7vd0C3qK94wcjf/zxZ1bRXfvqGT6U3f2G/Z6AesqotgJX477PNVmTmxfiwTSS5irqz2ybEHD6PzbMAk7lS/0BxgkTqPAUYBiAkQpTLLdKxe1D4Lbsp968uW1vXk+ZrnpsN7yL1TbmbvCl4GcPPPStZWyNcM9s++9y92ruZu2CT21q7lZ9KDcLuC3WbmGG42uA30EISOVkFynt1BBialOliF/wZHqGTa1tOfq8fbMHPL6N2iBPW2d7HfxZdWnreiN49UL0dfhLR6tBSVVwNo+TQ1U5IsHvQU4Dcry7bGNOix+SngVcwAhYpZjTQxaNMABLLLtUFEAMEwi4kk63fGDbLTcVm82ubd7hNylzEXCa6SPdz2Vf5iUobe0jAFIq8+JHT8CjGeUjHFOj5E7MIO4THxvOaHIcwu2IOKiznyg89BTEXi6WssO8B36vkLa33Pv7/QRbEtm21c/BtIm9Yb4ho19PDg4g09aeucySdpzq3BfVx6WQqh7MkLOSkHLf2olEKni4n7xznh0VH4jnAYdy6hfVSZTvUmF54f2cU9d9XmlhvUyTlbkxIT0BWtgH4wRRgPMy7EFbAwi8ojzbNyqtH/7coWxnUHyE+rmYjbs3NCnqdwIbbM/GZ4RZwDleVskO3viSBhWjSu2Pxj7JU4bsqrzTU5YZQ7xKu73Bb8bAbo+s28NStxEyb8e+K1UAKXhOVivK7x0RUANf3zEw/smJpsr37cad9RlhFnCbzQYwfN36I+5qwxgVwRA/vOHxlneeMiaux9lymN5tTTttkZN5mbZwCYsLM550taA+zJM5gsdHsGSdQTbngN7ZlC/JrRhXIcorRJvVcp2pnjzdy+0nnErOCbOAE5x8d4oVCy4xMSFGetjfgWJ3MQFHdomxZbUwwC4B84YlzBNojUEmxmqO1tVC4VcVopUzKuXK+XArUeDVTyq85wv7xKqHsel1dfIUkl8zUXcFm8eUH7IPjWcBp8J5mYxWcWmbclhlyEIAMJm2HbSwDCHZGD9IuR1UH4MhaZ4HOAIQIJOrIxfjxOFRUMNQq8wI9EH5WNVJdcEje22ofxs3K6PlQ+OZwA2ghrFSKhiEVSqh/5JJcfodKBnntLac7wb5CKLpAs+0RguYuAhoNh2CRV1dTVFhqWhRn/u+tOsMtTph6JhOkAWsQDz1K3NHeHyYBZyK70BG5oy3SyqGumoaAhr1Aiggnm8FzXr3cQWSq++p8seM10v6LW9Elgh5kyGINXMdi1xspw2LRHwqMjJTV2KdU9c2eQ1SkXDDHL2aYf2MprVp1dFrtcBlAWB/sNuxMoJIzEfRqhMk04qXfM0n8yVDaa/DRLp1GuGSKhNz65ZEOQUSdyD0Y/adRSojsxjoz2jnNFdN3l/S+sUvnqbDsx+zgCvQMJzhPaCrlouCLBvbA43x68DhsAc7DxpTr0y39VAMBCfpSlpSUMggzRe8X4bIAWRYJqVJj6t7feMV/9Bkfeb+bYw2Czg78S3GwWtEQEPRWFMMEDAZhVTiMaWLnZZRxSexfaStPR9DAXbMj5Qs479Dm8PqqYCNEpUTVAe/GpLC3vH16hI64zkLuB1XQVsdFkED8ps40oLjj2sMAdbFwGlKRjbW6UHAFZaRJVegIpeWVafZhQ4yHahUm+5VyfOwXYFHTX8DKUNSn+fCcsN3qOd8AT3GGPEs4EYnxho9YlOnU1WTUj98GbLKWCawI5wk71DiBMoh+qjYfgXUc+nNlW+rXuqjOrknPAs4sRoHcvvNguDZNEChYOoBUUZ175z9nMBZnQ6cnncgS7uDnt3BJ49Y8axqPYLZ0gVEb2DaICyHtOUM5t2eP7AJexWaGWYBVzcdsqneoAAViyzzo3ZsC1Jeq2qBKVhlkIxDsuSRrSY6/6S6eaaFjD+B4BGmMo9X9M06kcAdMq0qU5eT+lBBc8+GqaVmCc989iHP6yVvOcr4qE8ZLijVZ8VleC/5xWDWFmN6ow6aIKX75EfdL5rfKxBJgAcwwV/zeXrFjyqqo3uy52dnMa5oU4O7svo7YMNgWrFKdsk6WBXmmS82HuKsuADjHZFGi5iBIv+9qnn/qt+qSh3JTFNjPvWDiqpnA0SexYB/ijm6q5qP85wFnIZrXQHgillpVesHh9QVaAWWAJccfo/VNrOcbmrbYn/vCR9gy2m1aUH2WOa/rv4UoKnhPODowC2Gx6jQo4Nox4ZinDL392ssIHFSZWa1rTZJD/wSy0Kn34eDpwZvP1w96+dmH25zrsQs4KSLP4GAawWSjhnFZZQFmUZxOZSTj/ne2yUhIHCjRIlFKcIU0x852RjZTGGlDdaQrkxk7MPrJr/gzg17r4vgJ3rMAk4/wmQDE7wJhg+fFV1xaMGiMqnXaFc5jd4FjCCIRAEmAO5aPE7lzsw0ZelHYJB0PCWscErqOJcsrbllGmhmzE/7mAXcPof544Wlqg6wTuORtvKQzjV2gVC+shaNMhc24v8iIloGmS3ogc7bD9sS884Oi0kEP89jFnDX++/hCtPVtT7kwaxOkZpmxQ/L9vgdj1r+NCtAwQ6/A9DXMXnBqZgoHDdXP7Wna/Id6PRCum7DiREqcg1UPw9Yp6MsLv/HwlM4Hp7WQ1/CGQhcgDsDNJtcgLsAdyYCZza7MO4C3JkInNnswrgLcGcicGazC+POBO7/AH5zPa/ivytzAAAAAElFTkSuQmCC", - ), - ] - ), - ], - model_parameters={"temperature": 0.3, "top_p": 0.2, "top_k": 3, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_invoke_chat_model_with_vision_multi_pics(setup_google_mock, setup_mock_redis): - model = GoogleLargeLanguageModel() - - result = model.invoke( - model="gemini-1.5-pro", - credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage(content="You are a helpful AI assistant."), - UserPromptMessage( - content=[ - TextPromptMessageContent(data="what do you see?"), - ImagePromptMessageContent( - mime_type="image/png", - format="png", - 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", - ), - ] - ), - AssistantPromptMessage(content="I see a blue letter 'D' with a gradient from light blue to dark blue."), - UserPromptMessage( - content=[ - TextPromptMessageContent(data="what about now?"), - ImagePromptMessageContent( - mime_type="image/png", - format="png", - base64_data="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", - ), - ] - ), - ], - model_parameters={"temperature": 0.3, "top_p": 0.2, "top_k": 3, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - print(f"result: {result.message.content}") - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -def test_get_num_tokens(): - model = GoogleLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="gemini-1.5-pro", - credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens > 0 # The exact number of tokens may vary based on the model's tokenization diff --git a/api/tests/integration_tests/model_runtime/google/test_provider.py b/api/tests/integration_tests/model_runtime/google/test_provider.py deleted file mode 100644 index c217e4fe058870..00000000000000 --- a/api/tests/integration_tests/model_runtime/google/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.google.google import GoogleProvider -from tests.integration_tests.model_runtime.__mock.google import setup_google_mock - - -@pytest.mark.parametrize("setup_google_mock", [["none"]], indirect=True) -def test_validate_provider_credentials(setup_google_mock): - provider = GoogleProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"google_api_key": os.environ.get("GOOGLE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/gpustack/__init__.py b/api/tests/integration_tests/model_runtime/gpustack/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_embedding.py b/api/tests/integration_tests/model_runtime/gpustack/test_embedding.py deleted file mode 100644 index f56ad0dadcbe20..00000000000000 --- a/api/tests/integration_tests/model_runtime/gpustack/test_embedding.py +++ /dev/null @@ -1,49 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gpustack.text_embedding.text_embedding import ( - GPUStackTextEmbeddingModel, -) - - -def test_validate_credentials(): - model = GPUStackTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="bge-m3", - credentials={ - "endpoint_url": "invalid_url", - "api_key": "invalid_api_key", - }, - ) - - model.validate_credentials( - model="bge-m3", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - ) - - -def test_invoke_model(): - model = GPUStackTextEmbeddingModel() - - result = model.invoke( - model="bge-m3", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - "context_size": 8192, - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 7 diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_llm.py b/api/tests/integration_tests/model_runtime/gpustack/test_llm.py deleted file mode 100644 index 326b7b16f04dda..00000000000000 --- a/api/tests/integration_tests/model_runtime/gpustack/test_llm.py +++ /dev/null @@ -1,162 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import ( - LLMResult, - LLMResultChunk, - LLMResultChunkDelta, -) -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gpustack.llm.llm import GPUStackLanguageModel - - -def test_validate_credentials_for_chat_model(): - model = GPUStackLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="llama-3.2-1b-instruct", - credentials={ - "endpoint_url": "invalid_url", - "api_key": "invalid_api_key", - "mode": "chat", - }, - ) - - model.validate_credentials( - model="llama-3.2-1b-instruct", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - "mode": "chat", - }, - ) - - -def test_invoke_completion_model(): - model = GPUStackLanguageModel() - - response = model.invoke( - model="llama-3.2-1b-instruct", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - "mode": "completion", - }, - prompt_messages=[UserPromptMessage(content="ping")], - model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, - stop=[], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_chat_model(): - model = GPUStackLanguageModel() - - response = model.invoke( - model="llama-3.2-1b-instruct", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - "mode": "chat", - }, - prompt_messages=[UserPromptMessage(content="ping")], - model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, - stop=[], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_stream_chat_model(): - model = GPUStackLanguageModel() - - response = model.invoke( - model="llama-3.2-1b-instruct", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - "mode": "chat", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = GPUStackLanguageModel() - - num_tokens = model.get_num_tokens( - model="????", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ) - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 80 - - num_tokens = model.get_num_tokens( - model="????", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - "mode": "chat", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 10 diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_rerank.py b/api/tests/integration_tests/model_runtime/gpustack/test_rerank.py deleted file mode 100644 index f5c2d2d21ca825..00000000000000 --- a/api/tests/integration_tests/model_runtime/gpustack/test_rerank.py +++ /dev/null @@ -1,107 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gpustack.rerank.rerank import ( - GPUStackRerankModel, -) - - -def test_validate_credentials_for_rerank_model(): - model = GPUStackRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="bge-reranker-v2-m3", - credentials={ - "endpoint_url": "invalid_url", - "api_key": "invalid_api_key", - }, - ) - - model.validate_credentials( - model="bge-reranker-v2-m3", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - ) - - -def test_invoke_rerank_model(): - model = GPUStackRerankModel() - - response = model.invoke( - model="bge-reranker-v2-m3", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - query="Organic skincare products for sensitive skin", - docs=[ - "Eco-friendly kitchenware for modern homes", - "Biodegradable cleaning supplies for eco-conscious consumers", - "Organic cotton baby clothes for sensitive skin", - "Natural organic skincare range for sensitive skin", - "Tech gadgets for smart homes: 2024 edition", - "Sustainable gardening tools and compost solutions", - "Sensitive skin-friendly facial cleansers and toners", - "Organic food wraps and storage solutions", - "Yoga mats made from recycled materials", - ], - top_n=3, - score_threshold=-0.75, - user="abc-123", - ) - - assert isinstance(response, RerankResult) - assert len(response.docs) == 3 - - -def test__invoke(): - model = GPUStackRerankModel() - - # Test case 1: Empty docs - result = model._invoke( - model="bge-reranker-v2-m3", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - query="Organic skincare products for sensitive skin", - docs=[], - top_n=3, - score_threshold=0.75, - user="abc-123", - ) - assert isinstance(result, RerankResult) - assert len(result.docs) == 0 - - # Test case 2: Expected docs - result = model._invoke( - model="bge-reranker-v2-m3", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - query="Organic skincare products for sensitive skin", - docs=[ - "Eco-friendly kitchenware for modern homes", - "Biodegradable cleaning supplies for eco-conscious consumers", - "Organic cotton baby clothes for sensitive skin", - "Natural organic skincare range for sensitive skin", - "Tech gadgets for smart homes: 2024 edition", - "Sustainable gardening tools and compost solutions", - "Sensitive skin-friendly facial cleansers and toners", - "Organic food wraps and storage solutions", - "Yoga mats made from recycled materials", - ], - top_n=3, - score_threshold=-0.75, - user="abc-123", - ) - assert isinstance(result, RerankResult) - assert len(result.docs) == 3 - assert all(isinstance(doc, RerankDocument) for doc in result.docs) diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_speech2text.py b/api/tests/integration_tests/model_runtime/gpustack/test_speech2text.py deleted file mode 100644 index c215e9b73988be..00000000000000 --- a/api/tests/integration_tests/model_runtime/gpustack/test_speech2text.py +++ /dev/null @@ -1,55 +0,0 @@ -import os -from pathlib import Path - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.gpustack.speech2text.speech2text import GPUStackSpeech2TextModel - - -def test_validate_credentials(): - model = GPUStackSpeech2TextModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="faster-whisper-medium", - credentials={ - "endpoint_url": "invalid_url", - "api_key": "invalid_api_key", - }, - ) - - model.validate_credentials( - model="faster-whisper-medium", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - ) - - -def test_invoke_model(): - model = GPUStackSpeech2TextModel() - - # Get the directory of the current file - current_dir = os.path.dirname(os.path.abspath(__file__)) - - # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), "assets") - - # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, "audio.mp3") - - file = Path(audio_file_path).read_bytes() - - result = model.invoke( - model="faster-whisper-medium", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - file=file, - ) - - assert isinstance(result, str) - assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10" diff --git a/api/tests/integration_tests/model_runtime/gpustack/test_tts.py b/api/tests/integration_tests/model_runtime/gpustack/test_tts.py deleted file mode 100644 index 8997ad074cb1bd..00000000000000 --- a/api/tests/integration_tests/model_runtime/gpustack/test_tts.py +++ /dev/null @@ -1,24 +0,0 @@ -import os - -from core.model_runtime.model_providers.gpustack.tts.tts import GPUStackText2SpeechModel - - -def test_invoke_model(): - model = GPUStackText2SpeechModel() - - result = model.invoke( - model="cosyvoice-300m-sft", - tenant_id="test", - credentials={ - "endpoint_url": os.environ.get("GPUSTACK_SERVER_URL"), - "api_key": os.environ.get("GPUSTACK_API_KEY"), - }, - content_text="Hello world", - voice="Chinese Female", - ) - - content = b"" - for chunk in result: - content += chunk - - assert content != b"" diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/__init__.py b/api/tests/integration_tests/model_runtime/huggingface_hub/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py b/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py deleted file mode 100644 index 8f90c680295727..00000000000000 --- a/api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py +++ /dev/null @@ -1,278 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.huggingface_hub.llm.llm import HuggingfaceHubLargeLanguageModel -from tests.integration_tests.model_runtime.__mock.huggingface import setup_huggingface_mock - - -@pytest.mark.skip -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_hosted_inference_api_validate_credentials(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="HuggingFaceH4/zephyr-7b-beta", - credentials={"huggingfacehub_api_type": "hosted_inference_api", "huggingfacehub_api_token": "invalid_key"}, - ) - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="fake-model", - credentials={"huggingfacehub_api_type": "hosted_inference_api", "huggingfacehub_api_token": "invalid_key"}, - ) - - model.validate_credentials( - model="HuggingFaceH4/zephyr-7b-beta", - credentials={ - "huggingfacehub_api_type": "hosted_inference_api", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - }, - ) - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_hosted_inference_api_invoke_model(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - response = model.invoke( - model="HuggingFaceH4/zephyr-7b-beta", - credentials={ - "huggingfacehub_api_type": "hosted_inference_api", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_hosted_inference_api_invoke_stream_model(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - response = model.invoke( - model="HuggingFaceH4/zephyr-7b-beta", - credentials={ - "huggingfacehub_api_type": "hosted_inference_api", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_inference_endpoints_text_generation_validate_credentials(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="openchat/openchat_3.5", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": "invalid_key", - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), - "task_type": "text-generation", - }, - ) - - model.validate_credentials( - model="openchat/openchat_3.5", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), - "task_type": "text-generation", - }, - ) - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_inference_endpoints_text_generation_invoke_model(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - response = model.invoke( - model="openchat/openchat_3.5", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), - "task_type": "text-generation", - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_inference_endpoints_text_generation_invoke_stream_model(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - response = model.invoke( - model="openchat/openchat_3.5", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT_GEN_ENDPOINT_URL"), - "task_type": "text-generation", - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_inference_endpoints_text2text_generation_validate_credentials(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="google/mt5-base", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": "invalid_key", - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), - "task_type": "text2text-generation", - }, - ) - - model.validate_credentials( - model="google/mt5-base", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), - "task_type": "text2text-generation", - }, - ) - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_inference_endpoints_text2text_generation_invoke_model(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - response = model.invoke( - model="google/mt5-base", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), - "task_type": "text2text-generation", - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -@pytest.mark.parametrize("setup_huggingface_mock", [["none"]], indirect=True) -def test_inference_endpoints_text2text_generation_invoke_stream_model(setup_huggingface_mock): - model = HuggingfaceHubLargeLanguageModel() - - response = model.invoke( - model="google/mt5-base", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), - "task_type": "text2text-generation", - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = HuggingfaceHubLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="google/mt5-base", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_TEXT2TEXT_GEN_ENDPOINT_URL"), - "task_type": "text2text-generation", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 7 diff --git a/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py b/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py deleted file mode 100644 index 0ee593f38a494a..00000000000000 --- a/api/tests/integration_tests/model_runtime/huggingface_hub/test_text_embedding.py +++ /dev/null @@ -1,112 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.huggingface_hub.text_embedding.text_embedding import ( - HuggingfaceHubTextEmbeddingModel, -) - - -def test_hosted_inference_api_validate_credentials(): - model = HuggingfaceHubTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="facebook/bart-base", - credentials={ - "huggingfacehub_api_type": "hosted_inference_api", - "huggingfacehub_api_token": "invalid_key", - }, - ) - - model.validate_credentials( - model="facebook/bart-base", - credentials={ - "huggingfacehub_api_type": "hosted_inference_api", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - }, - ) - - -def test_hosted_inference_api_invoke_model(): - model = HuggingfaceHubTextEmbeddingModel() - - result = model.invoke( - model="facebook/bart-base", - credentials={ - "huggingfacehub_api_type": "hosted_inference_api", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - }, - texts=["hello", "world"], - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_inference_endpoints_validate_credentials(): - model = HuggingfaceHubTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="all-MiniLM-L6-v2", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": "invalid_key", - "huggingface_namespace": "Dify-AI", - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), - "task_type": "feature-extraction", - }, - ) - - model.validate_credentials( - model="all-MiniLM-L6-v2", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingface_namespace": "Dify-AI", - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), - "task_type": "feature-extraction", - }, - ) - - -def test_inference_endpoints_invoke_model(): - model = HuggingfaceHubTextEmbeddingModel() - - result = model.invoke( - model="all-MiniLM-L6-v2", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingface_namespace": "Dify-AI", - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), - "task_type": "feature-extraction", - }, - texts=["hello", "world"], - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 0 - - -def test_get_num_tokens(): - model = HuggingfaceHubTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="all-MiniLM-L6-v2", - credentials={ - "huggingfacehub_api_type": "inference_endpoints", - "huggingfacehub_api_token": os.environ.get("HUGGINGFACE_API_KEY"), - "huggingface_namespace": "Dify-AI", - "huggingfacehub_endpoint_url": os.environ.get("HUGGINGFACE_EMBEDDINGS_ENDPOINT_URL"), - "task_type": "feature-extraction", - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/__init__.py b/api/tests/integration_tests/model_runtime/huggingface_tei/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py b/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py deleted file mode 100644 index 33160062e57996..00000000000000 --- a/api/tests/integration_tests/model_runtime/huggingface_tei/test_embeddings.py +++ /dev/null @@ -1,73 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embedding import ( - HuggingfaceTeiTextEmbeddingModel, - TeiHelper, -) -from tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClass - -MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" - - -@pytest.fixture -def setup_tei_mock(request, monkeypatch: pytest.MonkeyPatch): - if MOCK: - monkeypatch.setattr(TeiHelper, "get_tei_extra_parameter", MockTEIClass.get_tei_extra_parameter) - monkeypatch.setattr(TeiHelper, "invoke_tokenize", MockTEIClass.invoke_tokenize) - monkeypatch.setattr(TeiHelper, "invoke_embeddings", MockTEIClass.invoke_embeddings) - monkeypatch.setattr(TeiHelper, "invoke_rerank", MockTEIClass.invoke_rerank) - yield - - if MOCK: - monkeypatch.undo() - - -@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) -def test_validate_credentials(setup_tei_mock): - model = HuggingfaceTeiTextEmbeddingModel() - # model name is only used in mock - model_name = "embedding" - - if MOCK: - # TEI Provider will check model type by API endpoint, at real server, the model type is correct. - # So we dont need to check model type here. Only check in mock - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="reranker", - credentials={ - "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""), - "api_key": os.environ.get("TEI_API_KEY", ""), - }, - ) - - model.validate_credentials( - model=model_name, - credentials={ - "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""), - "api_key": os.environ.get("TEI_API_KEY", ""), - }, - ) - - -@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) -def test_invoke_model(setup_tei_mock): - model = HuggingfaceTeiTextEmbeddingModel() - model_name = "embedding" - - result = model.invoke( - model=model_name, - credentials={ - "server_url": os.environ.get("TEI_EMBEDDING_SERVER_URL", ""), - "api_key": os.environ.get("TEI_API_KEY", ""), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens > 0 diff --git a/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py b/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py deleted file mode 100644 index 9777367063f5fa..00000000000000 --- a/api/tests/integration_tests/model_runtime/huggingface_tei/test_rerank.py +++ /dev/null @@ -1,80 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.huggingface_tei.rerank.rerank import ( - HuggingfaceTeiRerankModel, -) -from core.model_runtime.model_providers.huggingface_tei.text_embedding.text_embedding import TeiHelper -from tests.integration_tests.model_runtime.__mock.huggingface_tei import MockTEIClass - -MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" - - -@pytest.fixture -def setup_tei_mock(request, monkeypatch: pytest.MonkeyPatch): - if MOCK: - monkeypatch.setattr(TeiHelper, "get_tei_extra_parameter", MockTEIClass.get_tei_extra_parameter) - monkeypatch.setattr(TeiHelper, "invoke_tokenize", MockTEIClass.invoke_tokenize) - monkeypatch.setattr(TeiHelper, "invoke_embeddings", MockTEIClass.invoke_embeddings) - monkeypatch.setattr(TeiHelper, "invoke_rerank", MockTEIClass.invoke_rerank) - yield - - if MOCK: - monkeypatch.undo() - - -@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) -def test_validate_credentials(setup_tei_mock): - model = HuggingfaceTeiRerankModel() - # model name is only used in mock - model_name = "reranker" - - if MOCK: - # TEI Provider will check model type by API endpoint, at real server, the model type is correct. - # So we dont need to check model type here. Only check in mock - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="embedding", - credentials={ - "server_url": os.environ.get("TEI_RERANK_SERVER_URL"), - "api_key": os.environ.get("TEI_API_KEY", ""), - }, - ) - - model.validate_credentials( - model=model_name, - credentials={ - "server_url": os.environ.get("TEI_RERANK_SERVER_URL"), - "api_key": os.environ.get("TEI_API_KEY", ""), - }, - ) - - -@pytest.mark.parametrize("setup_tei_mock", [["none"]], indirect=True) -def test_invoke_model(setup_tei_mock): - model = HuggingfaceTeiRerankModel() - # model name is only used in mock - model_name = "reranker" - - result = model.invoke( - model=model_name, - credentials={ - "server_url": os.environ.get("TEI_RERANK_SERVER_URL"), - "api_key": os.environ.get("TEI_API_KEY", ""), - }, - query="Who is Kasumi?", - docs=[ - 'Kasumi is a girl\'s name of Japanese origin meaning "mist".', - "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ", - "and she leads a team named PopiParty.", - ], - score_threshold=0.8, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 0 - assert result.docs[0].score >= 0.8 diff --git a/api/tests/integration_tests/model_runtime/hunyuan/__init__.py b/api/tests/integration_tests/model_runtime/hunyuan/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py b/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py deleted file mode 100644 index b3049a06d9b98a..00000000000000 --- a/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py +++ /dev/null @@ -1,90 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.hunyuan.llm.llm import HunyuanLargeLanguageModel - - -def test_validate_credentials(): - model = HunyuanLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="hunyuan-standard", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"} - ) - - model.validate_credentials( - model="hunyuan-standard", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - ) - - -def test_invoke_model(): - model = HunyuanLargeLanguageModel() - - response = model.invoke( - model="hunyuan-standard", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Hi")], - model_parameters={"temperature": 0.5, "max_tokens": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = HunyuanLargeLanguageModel() - - response = model.invoke( - model="hunyuan-standard", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Hi")], - model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = HunyuanLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="hunyuan-standard", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 14 diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py b/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py deleted file mode 100644 index e3748c2ce713d4..00000000000000 --- a/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py +++ /dev/null @@ -1,20 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.hunyuan.hunyuan import HunyuanProvider - - -def test_validate_provider_credentials(): - provider = HunyuanProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"}) - - provider.validate_provider_credentials( - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - } - ) diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py b/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py deleted file mode 100644 index 69d14dffeebf35..00000000000000 --- a/api/tests/integration_tests/model_runtime/hunyuan/test_text_embedding.py +++ /dev/null @@ -1,96 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.hunyuan.text_embedding.text_embedding import HunyuanTextEmbeddingModel - - -def test_validate_credentials(): - model = HunyuanTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="hunyuan-embedding", credentials={"secret_id": "invalid_key", "secret_key": "invalid_key"} - ) - - model.validate_credentials( - model="hunyuan-embedding", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - ) - - -def test_invoke_model(): - model = HunyuanTextEmbeddingModel() - - result = model.invoke( - model="hunyuan-embedding", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 6 - - -def test_get_num_tokens(): - model = HunyuanTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="hunyuan-embedding", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 - - -def test_max_chunks(): - model = HunyuanTextEmbeddingModel() - - result = model.invoke( - model="hunyuan-embedding", - credentials={ - "secret_id": os.environ.get("HUNYUAN_SECRET_ID"), - "secret_key": os.environ.get("HUNYUAN_SECRET_KEY"), - }, - texts=[ - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - "hello", - "world", - ], - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 22 diff --git a/api/tests/integration_tests/model_runtime/jina/__init__.py b/api/tests/integration_tests/model_runtime/jina/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/jina/test_provider.py b/api/tests/integration_tests/model_runtime/jina/test_provider.py deleted file mode 100644 index e3b6128c59d8df..00000000000000 --- a/api/tests/integration_tests/model_runtime/jina/test_provider.py +++ /dev/null @@ -1,15 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.jina.jina import JinaProvider - - -def test_validate_provider_credentials(): - provider = JinaProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"api_key": "hahahaha"}) - - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("JINA_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py b/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py deleted file mode 100644 index 290735ec49e625..00000000000000 --- a/api/tests/integration_tests/model_runtime/jina/test_text_embedding.py +++ /dev/null @@ -1,49 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.jina.text_embedding.text_embedding import JinaTextEmbeddingModel - - -def test_validate_credentials(): - model = JinaTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="jina-embeddings-v2-base-en", credentials={"api_key": "invalid_key"}) - - model.validate_credentials( - model="jina-embeddings-v2-base-en", credentials={"api_key": os.environ.get("JINA_API_KEY")} - ) - - -def test_invoke_model(): - model = JinaTextEmbeddingModel() - - result = model.invoke( - model="jina-embeddings-v2-base-en", - credentials={ - "api_key": os.environ.get("JINA_API_KEY"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 6 - - -def test_get_num_tokens(): - model = JinaTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="jina-embeddings-v2-base-en", - credentials={ - "api_key": os.environ.get("JINA_API_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 6 diff --git a/api/tests/integration_tests/model_runtime/localai/__init__.py b/api/tests/integration_tests/model_runtime/localai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/localai/test_embedding.py b/api/tests/integration_tests/model_runtime/localai/test_embedding.py deleted file mode 100644 index 7fd9f2b3000a31..00000000000000 --- a/api/tests/integration_tests/model_runtime/localai/test_embedding.py +++ /dev/null @@ -1,4 +0,0 @@ -""" -LocalAI Embedding Interface is temporarily unavailable due to -we could not find a way to test it for now. -""" diff --git a/api/tests/integration_tests/model_runtime/localai/test_llm.py b/api/tests/integration_tests/model_runtime/localai/test_llm.py deleted file mode 100644 index 51e899fd5186cf..00000000000000 --- a/api/tests/integration_tests/model_runtime/localai/test_llm.py +++ /dev/null @@ -1,172 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.localai.llm.llm import LocalAILanguageModel - - -def test_validate_credentials_for_chat_model(): - model = LocalAILanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="chinese-llama-2-7b", - credentials={ - "server_url": "hahahaha", - "completion_type": "completion", - }, - ) - - model.validate_credentials( - model="chinese-llama-2-7b", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "completion", - }, - ) - - -def test_invoke_completion_model(): - model = LocalAILanguageModel() - - response = model.invoke( - model="chinese-llama-2-7b", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "completion", - }, - prompt_messages=[UserPromptMessage(content="ping")], - model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, - stop=[], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_chat_model(): - model = LocalAILanguageModel() - - response = model.invoke( - model="chinese-llama-2-7b", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "chat_completion", - }, - prompt_messages=[UserPromptMessage(content="ping")], - model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, - stop=[], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_stream_completion_model(): - model = LocalAILanguageModel() - - response = model.invoke( - model="chinese-llama-2-7b", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "completion", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_invoke_stream_chat_model(): - model = LocalAILanguageModel() - - response = model.invoke( - model="chinese-llama-2-7b", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "chat_completion", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.7, "top_p": 1.0, "max_tokens": 10}, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = LocalAILanguageModel() - - num_tokens = model.get_num_tokens( - model="????", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "chat_completion", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ) - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 77 - - num_tokens = model.get_num_tokens( - model="????", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "chat_completion", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 10 diff --git a/api/tests/integration_tests/model_runtime/localai/test_rerank.py b/api/tests/integration_tests/model_runtime/localai/test_rerank.py deleted file mode 100644 index 13c7df6d1473b0..00000000000000 --- a/api/tests/integration_tests/model_runtime/localai/test_rerank.py +++ /dev/null @@ -1,96 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.localai.rerank.rerank import LocalaiRerankModel - - -def test_validate_credentials_for_chat_model(): - model = LocalaiRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="bge-reranker-v2-m3", - credentials={ - "server_url": "hahahaha", - "completion_type": "completion", - }, - ) - - model.validate_credentials( - model="bge-reranker-base", - credentials={ - "server_url": os.environ.get("LOCALAI_SERVER_URL"), - "completion_type": "completion", - }, - ) - - -def test_invoke_rerank_model(): - model = LocalaiRerankModel() - - response = model.invoke( - model="bge-reranker-base", - credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")}, - query="Organic skincare products for sensitive skin", - docs=[ - "Eco-friendly kitchenware for modern homes", - "Biodegradable cleaning supplies for eco-conscious consumers", - "Organic cotton baby clothes for sensitive skin", - "Natural organic skincare range for sensitive skin", - "Tech gadgets for smart homes: 2024 edition", - "Sustainable gardening tools and compost solutions", - "Sensitive skin-friendly facial cleansers and toners", - "Organic food wraps and storage solutions", - "Yoga mats made from recycled materials", - ], - top_n=3, - score_threshold=0.75, - user="abc-123", - ) - - assert isinstance(response, RerankResult) - assert len(response.docs) == 3 - - -def test__invoke(): - model = LocalaiRerankModel() - - # Test case 1: Empty docs - result = model._invoke( - model="bge-reranker-base", - credentials={"server_url": "https://example.com", "api_key": "1234567890"}, - query="Organic skincare products for sensitive skin", - docs=[], - top_n=3, - score_threshold=0.75, - user="abc-123", - ) - assert isinstance(result, RerankResult) - assert len(result.docs) == 0 - - # Test case 2: Valid invocation - result = model._invoke( - model="bge-reranker-base", - credentials={"server_url": "https://example.com", "api_key": "1234567890"}, - query="Organic skincare products for sensitive skin", - docs=[ - "Eco-friendly kitchenware for modern homes", - "Biodegradable cleaning supplies for eco-conscious consumers", - "Organic cotton baby clothes for sensitive skin", - "Natural organic skincare range for sensitive skin", - "Tech gadgets for smart homes: 2024 edition", - "Sustainable gardening tools and compost solutions", - "Sensitive skin-friendly facial cleansers and toners", - "Organic food wraps and storage solutions", - "Yoga mats made from recycled materials", - ], - top_n=3, - score_threshold=0.75, - user="abc-123", - ) - assert isinstance(result, RerankResult) - assert len(result.docs) == 3 - assert all(isinstance(doc, RerankDocument) for doc in result.docs) diff --git a/api/tests/integration_tests/model_runtime/localai/test_speech2text.py b/api/tests/integration_tests/model_runtime/localai/test_speech2text.py deleted file mode 100644 index 91b7a5752ce973..00000000000000 --- a/api/tests/integration_tests/model_runtime/localai/test_speech2text.py +++ /dev/null @@ -1,42 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.localai.speech2text.speech2text import LocalAISpeech2text - - -def test_validate_credentials(): - model = LocalAISpeech2text() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="whisper-1", credentials={"server_url": "invalid_url"}) - - model.validate_credentials(model="whisper-1", credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")}) - - -def test_invoke_model(): - model = LocalAISpeech2text() - - # Get the directory of the current file - current_dir = os.path.dirname(os.path.abspath(__file__)) - - # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), "assets") - - # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, "audio.mp3") - - # Open the file and get the file object - with open(audio_file_path, "rb") as audio_file: - file = audio_file - - result = model.invoke( - model="whisper-1", - credentials={"server_url": os.environ.get("LOCALAI_SERVER_URL")}, - file=file, - user="abc-123", - ) - - assert isinstance(result, str) - assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10" diff --git a/api/tests/integration_tests/model_runtime/minimax/__init__.py b/api/tests/integration_tests/model_runtime/minimax/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/minimax/test_embedding.py b/api/tests/integration_tests/model_runtime/minimax/test_embedding.py deleted file mode 100644 index cf2a28eb9eb2fe..00000000000000 --- a/api/tests/integration_tests/model_runtime/minimax/test_embedding.py +++ /dev/null @@ -1,58 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.minimax.text_embedding.text_embedding import MinimaxTextEmbeddingModel - - -def test_validate_credentials(): - model = MinimaxTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="embo-01", - credentials={"minimax_api_key": "invalid_key", "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID")}, - ) - - model.validate_credentials( - model="embo-01", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - ) - - -def test_invoke_model(): - model = MinimaxTextEmbeddingModel() - - result = model.invoke( - model="embo-01", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 16 - - -def test_get_num_tokens(): - model = MinimaxTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="embo-01", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/minimax/test_llm.py b/api/tests/integration_tests/model_runtime/minimax/test_llm.py deleted file mode 100644 index aacde04d326caf..00000000000000 --- a/api/tests/integration_tests/model_runtime/minimax/test_llm.py +++ /dev/null @@ -1,143 +0,0 @@ -import os -from collections.abc import Generator -from time import sleep - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.minimax.llm.llm import MinimaxLargeLanguageModel - - -def test_predefined_models(): - model = MinimaxLargeLanguageModel() - model_schemas = model.predefined_models() - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -def test_validate_credentials_for_chat_model(): - sleep(3) - model = MinimaxLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="abab5.5-chat", credentials={"minimax_api_key": "invalid_key", "minimax_group_id": "invalid_key"} - ) - - model.validate_credentials( - model="abab5.5-chat", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - ) - - -def test_invoke_model(): - sleep(3) - model = MinimaxLargeLanguageModel() - - response = model.invoke( - model="abab5-chat", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_stream_model(): - sleep(3) - model = MinimaxLargeLanguageModel() - - response = model.invoke( - model="abab5.5-chat", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_invoke_with_search(): - sleep(3) - model = MinimaxLargeLanguageModel() - - response = model.invoke( - model="abab5.5-chat", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - "plugin_web_search": True, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - total_message = "" - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - total_message += chunk.delta.message.content - assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True - - assert "参考资料" in total_message - - -def test_get_num_tokens(): - sleep(3) - model = MinimaxLargeLanguageModel() - - response = model.get_num_tokens( - model="abab5.5-chat", - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - tools=[], - ) - - assert isinstance(response, int) - assert response == 30 diff --git a/api/tests/integration_tests/model_runtime/minimax/test_provider.py b/api/tests/integration_tests/model_runtime/minimax/test_provider.py deleted file mode 100644 index 575ed13eef124a..00000000000000 --- a/api/tests/integration_tests/model_runtime/minimax/test_provider.py +++ /dev/null @@ -1,25 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.minimax.minimax import MinimaxProvider - - -def test_validate_provider_credentials(): - provider = MinimaxProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials( - credentials={ - "minimax_api_key": "hahahaha", - "minimax_group_id": "123", - } - ) - - provider.validate_provider_credentials( - credentials={ - "minimax_api_key": os.environ.get("MINIMAX_API_KEY"), - "minimax_group_id": os.environ.get("MINIMAX_GROUP_ID"), - } - ) diff --git a/api/tests/integration_tests/model_runtime/mixedbread/__init__.py b/api/tests/integration_tests/model_runtime/mixedbread/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/mixedbread/test_provider.py b/api/tests/integration_tests/model_runtime/mixedbread/test_provider.py deleted file mode 100644 index 25c9f3ce8dffa9..00000000000000 --- a/api/tests/integration_tests/model_runtime/mixedbread/test_provider.py +++ /dev/null @@ -1,28 +0,0 @@ -import os -from unittest.mock import Mock, patch - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.mixedbread.mixedbread import MixedBreadProvider - - -def test_validate_provider_credentials(): - provider = MixedBreadProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"api_key": "hahahaha"}) - with patch("requests.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "usage": {"prompt_tokens": 3, "total_tokens": 3}, - "model": "mixedbread-ai/mxbai-embed-large-v1", - "data": [{"embedding": [0.23333 for _ in range(1024)], "index": 0, "object": "embedding"}], - "object": "list", - "normalized": "true", - "encoding_format": "float", - "dimensions": 1024, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("MIXEDBREAD_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/mixedbread/test_rerank.py b/api/tests/integration_tests/model_runtime/mixedbread/test_rerank.py deleted file mode 100644 index b65aab74aa96d3..00000000000000 --- a/api/tests/integration_tests/model_runtime/mixedbread/test_rerank.py +++ /dev/null @@ -1,100 +0,0 @@ -import os -from unittest.mock import Mock, patch - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.mixedbread.rerank.rerank import MixedBreadRerankModel - - -def test_validate_credentials(): - model = MixedBreadRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="mxbai-rerank-large-v1", - credentials={"api_key": "invalid_key"}, - ) - with patch("httpx.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "usage": {"prompt_tokens": 86, "total_tokens": 86}, - "model": "mixedbread-ai/mxbai-rerank-large-v1", - "data": [ - { - "index": 0, - "score": 0.06762695, - "input": "Carson City is the capital city of the American state of Nevada. At the 2010 United " - "States Census, Carson City had a population of 55,274.", - "object": "text_document", - }, - { - "index": 1, - "score": 0.057403564, - "input": "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific " - "Ocean that are a political division controlled by the United States. Its capital is " - "Saipan.", - "object": "text_document", - }, - ], - "object": "list", - "top_k": 2, - "return_input": True, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - model.validate_credentials( - model="mxbai-rerank-large-v1", - credentials={ - "api_key": os.environ.get("MIXEDBREAD_API_KEY"), - }, - ) - - -def test_invoke_model(): - model = MixedBreadRerankModel() - with patch("httpx.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "usage": {"prompt_tokens": 56, "total_tokens": 56}, - "model": "mixedbread-ai/mxbai-rerank-large-v1", - "data": [ - { - "index": 0, - "score": 0.6044922, - "input": "Kasumi is a girl name of Japanese origin meaning mist.", - "object": "text_document", - }, - { - "index": 1, - "score": 0.0703125, - "input": "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she leads a " - "team named PopiParty.", - "object": "text_document", - }, - ], - "object": "list", - "top_k": 2, - "return_input": "true", - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - result = model.invoke( - model="mxbai-rerank-large-v1", - credentials={ - "api_key": os.environ.get("MIXEDBREAD_API_KEY"), - }, - query="Who is Kasumi?", - docs=[ - "Kasumi is a girl name of Japanese origin meaning mist.", - "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she leads a team named " - "PopiParty.", - ], - score_threshold=0.5, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 0 - assert result.docs[0].score >= 0.5 diff --git a/api/tests/integration_tests/model_runtime/mixedbread/test_text_embedding.py b/api/tests/integration_tests/model_runtime/mixedbread/test_text_embedding.py deleted file mode 100644 index ca97a1895113f0..00000000000000 --- a/api/tests/integration_tests/model_runtime/mixedbread/test_text_embedding.py +++ /dev/null @@ -1,78 +0,0 @@ -import os -from unittest.mock import Mock, patch - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.mixedbread.text_embedding.text_embedding import MixedBreadTextEmbeddingModel - - -def test_validate_credentials(): - model = MixedBreadTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="mxbai-embed-large-v1", credentials={"api_key": "invalid_key"}) - with patch("requests.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "usage": {"prompt_tokens": 3, "total_tokens": 3}, - "model": "mixedbread-ai/mxbai-embed-large-v1", - "data": [{"embedding": [0.23333 for _ in range(1024)], "index": 0, "object": "embedding"}], - "object": "list", - "normalized": "true", - "encoding_format": "float", - "dimensions": 1024, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - model.validate_credentials( - model="mxbai-embed-large-v1", credentials={"api_key": os.environ.get("MIXEDBREAD_API_KEY")} - ) - - -def test_invoke_model(): - model = MixedBreadTextEmbeddingModel() - - with patch("requests.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "usage": {"prompt_tokens": 6, "total_tokens": 6}, - "model": "mixedbread-ai/mxbai-embed-large-v1", - "data": [ - {"embedding": [0.23333 for _ in range(1024)], "index": 0, "object": "embedding"}, - {"embedding": [0.23333 for _ in range(1024)], "index": 1, "object": "embedding"}, - ], - "object": "list", - "normalized": "true", - "encoding_format": "float", - "dimensions": 1024, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - result = model.invoke( - model="mxbai-embed-large-v1", - credentials={ - "api_key": os.environ.get("MIXEDBREAD_API_KEY"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 6 - - -def test_get_num_tokens(): - model = MixedBreadTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="mxbai-embed-large-v1", - credentials={ - "api_key": os.environ.get("MIXEDBREAD_API_KEY"), - }, - texts=["ping"], - ) - - assert num_tokens == 1 diff --git a/api/tests/integration_tests/model_runtime/nomic/__init__.py b/api/tests/integration_tests/model_runtime/nomic/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/nomic/test_embeddings.py b/api/tests/integration_tests/model_runtime/nomic/test_embeddings.py deleted file mode 100644 index 52dc96ee95c1bc..00000000000000 --- a/api/tests/integration_tests/model_runtime/nomic/test_embeddings.py +++ /dev/null @@ -1,62 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.nomic.text_embedding.text_embedding import NomicTextEmbeddingModel -from tests.integration_tests.model_runtime.__mock.nomic_embeddings import setup_nomic_mock - - -@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True) -def test_validate_credentials(setup_nomic_mock): - model = NomicTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="nomic-embed-text-v1.5", - credentials={ - "nomic_api_key": "invalid_key", - }, - ) - - model.validate_credentials( - model="nomic-embed-text-v1.5", - credentials={ - "nomic_api_key": os.environ.get("NOMIC_API_KEY"), - }, - ) - - -@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True) -def test_invoke_model(setup_nomic_mock): - model = NomicTextEmbeddingModel() - - result = model.invoke( - model="nomic-embed-text-v1.5", - credentials={ - "nomic_api_key": os.environ.get("NOMIC_API_KEY"), - }, - texts=["hello", "world"], - user="foo", - ) - - assert isinstance(result, TextEmbeddingResult) - assert result.model == "nomic-embed-text-v1.5" - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True) -def test_get_num_tokens(setup_nomic_mock): - model = NomicTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="nomic-embed-text-v1.5", - credentials={ - "nomic_api_key": os.environ.get("NOMIC_API_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/nomic/test_provider.py b/api/tests/integration_tests/model_runtime/nomic/test_provider.py deleted file mode 100644 index ece4bb920080b3..00000000000000 --- a/api/tests/integration_tests/model_runtime/nomic/test_provider.py +++ /dev/null @@ -1,21 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.nomic.nomic import NomicAtlasProvider -from tests.integration_tests.model_runtime.__mock.nomic_embeddings import setup_nomic_mock - - -@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True) -def test_validate_provider_credentials(setup_nomic_mock): - provider = NomicAtlasProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials( - credentials={ - "nomic_api_key": os.environ.get("NOMIC_API_KEY"), - }, - ) diff --git a/api/tests/integration_tests/model_runtime/novita/__init__.py b/api/tests/integration_tests/model_runtime/novita/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/novita/test_llm.py b/api/tests/integration_tests/model_runtime/novita/test_llm.py deleted file mode 100644 index 9f92679cd5ccfa..00000000000000 --- a/api/tests/integration_tests/model_runtime/novita/test_llm.py +++ /dev/null @@ -1,98 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.novita.llm.llm import NovitaLargeLanguageModel - - -def test_validate_credentials(): - model = NovitaLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="meta-llama/llama-3-8b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"} - ) - - model.validate_credentials( - model="meta-llama/llama-3-8b-instruct", - credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "chat"}, - ) - - -def test_invoke_model(): - model = NovitaLargeLanguageModel() - - response = model.invoke( - model="meta-llama/llama-3-8b-instruct", - credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "completion"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_p": 0.5, - "max_tokens": 10, - }, - stop=["How"], - stream=False, - user="novita", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = NovitaLargeLanguageModel() - - response = model.invoke( - model="meta-llama/llama-3-8b-instruct", - credentials={"api_key": os.environ.get("NOVITA_API_KEY"), "mode": "chat"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "max_tokens": 100}, - stream=True, - user="novita", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_get_num_tokens(): - model = NovitaLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="meta-llama/llama-3-8b-instruct", - credentials={ - "api_key": os.environ.get("NOVITA_API_KEY"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/novita/test_provider.py b/api/tests/integration_tests/model_runtime/novita/test_provider.py deleted file mode 100644 index 191af99db20bd9..00000000000000 --- a/api/tests/integration_tests/model_runtime/novita/test_provider.py +++ /dev/null @@ -1,19 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.novita.novita import NovitaProvider - - -def test_validate_provider_credentials(): - provider = NovitaProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials( - credentials={ - "api_key": os.environ.get("NOVITA_API_KEY"), - } - ) diff --git a/api/tests/integration_tests/model_runtime/oci/__init__.py b/api/tests/integration_tests/model_runtime/oci/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/oci/test_llm.py b/api/tests/integration_tests/model_runtime/oci/test_llm.py deleted file mode 100644 index bd5d27eb0f2a02..00000000000000 --- a/api/tests/integration_tests/model_runtime/oci/test_llm.py +++ /dev/null @@ -1,129 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.oci.llm.llm import OCILargeLanguageModel - - -def test_validate_credentials(): - model = OCILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="cohere.command-r-plus", - credentials={"oci_config_content": "invalid_key", "oci_key_content": "invalid_key"}, - ) - - model.validate_credentials( - model="cohere.command-r-plus", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - ) - - -def test_invoke_model(): - model = OCILargeLanguageModel() - - response = model.invoke( - model="cohere.command-r-plus", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - prompt_messages=[UserPromptMessage(content="Hi")], - model_parameters={"temperature": 0.5, "max_tokens": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = OCILargeLanguageModel() - - response = model.invoke( - model="meta.llama-3-70b-instruct", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - prompt_messages=[UserPromptMessage(content="Hi")], - model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_invoke_model_with_function(): - model = OCILargeLanguageModel() - - response = model.invoke( - model="cohere.command-r-plus", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - prompt_messages=[UserPromptMessage(content="Hi")], - model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, - stream=False, - user="abc-123", - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, - ) - ], - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_get_num_tokens(): - model = OCILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="cohere.command-r-plus", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 18 diff --git a/api/tests/integration_tests/model_runtime/oci/test_provider.py b/api/tests/integration_tests/model_runtime/oci/test_provider.py deleted file mode 100644 index 2c7107c7ccfe45..00000000000000 --- a/api/tests/integration_tests/model_runtime/oci/test_provider.py +++ /dev/null @@ -1,20 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.oci.oci import OCIGENAIProvider - - -def test_validate_provider_credentials(): - provider = OCIGENAIProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials( - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - } - ) diff --git a/api/tests/integration_tests/model_runtime/oci/test_text_embedding.py b/api/tests/integration_tests/model_runtime/oci/test_text_embedding.py deleted file mode 100644 index 032c5c681a7aeb..00000000000000 --- a/api/tests/integration_tests/model_runtime/oci/test_text_embedding.py +++ /dev/null @@ -1,58 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.oci.text_embedding.text_embedding import OCITextEmbeddingModel - - -def test_validate_credentials(): - model = OCITextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="cohere.embed-multilingual-v3.0", - credentials={"oci_config_content": "invalid_key", "oci_key_content": "invalid_key"}, - ) - - model.validate_credentials( - model="cohere.embed-multilingual-v3.0", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - ) - - -def test_invoke_model(): - model = OCITextEmbeddingModel() - - result = model.invoke( - model="cohere.embed-multilingual-v3.0", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 4 - # assert result.usage.total_tokens == 811 - - -def test_get_num_tokens(): - model = OCITextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="cohere.embed-multilingual-v3.0", - credentials={ - "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), - "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/ollama/__init__.py b/api/tests/integration_tests/model_runtime/ollama/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/ollama/test_llm.py b/api/tests/integration_tests/model_runtime/ollama/test_llm.py deleted file mode 100644 index 979751afceaca4..00000000000000 --- a/api/tests/integration_tests/model_runtime/ollama/test_llm.py +++ /dev/null @@ -1,226 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - SystemPromptMessage, - TextPromptMessageContent, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.ollama.llm.llm import OllamaLargeLanguageModel - - -def test_validate_credentials(): - model = OllamaLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="mistral:text", - credentials={ - "base_url": "http://localhost:21434", - "mode": "chat", - "context_size": 2048, - "max_tokens": 2048, - }, - ) - - model.validate_credentials( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 2048, - "max_tokens": 2048, - }, - ) - - -def test_invoke_model(): - model = OllamaLargeLanguageModel() - - response = model.invoke( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 2048, - "max_tokens": 2048, - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, - stop=["How"], - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = OllamaLargeLanguageModel() - - response = model.invoke( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 2048, - "max_tokens": 2048, - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, - stop=["How"], - stream=True, - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_invoke_completion_model(): - model = OllamaLargeLanguageModel() - - response = model.invoke( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "completion", - "context_size": 2048, - "max_tokens": 2048, - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, - stop=["How"], - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_completion_model(): - model = OllamaLargeLanguageModel() - - response = model.invoke( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "completion", - "context_size": 2048, - "max_tokens": 2048, - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={"temperature": 1.0, "top_k": 2, "top_p": 0.5, "num_predict": 10}, - stop=["How"], - stream=True, - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_invoke_completion_model_with_vision(): - model = OllamaLargeLanguageModel() - - result = model.invoke( - model="llava", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "completion", - "context_size": 2048, - "max_tokens": 2048, - }, - prompt_messages=[ - UserPromptMessage( - content=[ - TextPromptMessageContent( - data="What is this in this picture?", - ), - ImagePromptMessageContent( - mime_type="image/png", - format="png", - 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", - ), - ] - ) - ], - model_parameters={"temperature": 0.1, "num_predict": 100}, - stream=False, - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -def test_invoke_chat_model_with_vision(): - model = OllamaLargeLanguageModel() - - result = model.invoke( - model="llava", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 2048, - "max_tokens": 2048, - }, - prompt_messages=[ - UserPromptMessage( - content=[ - TextPromptMessageContent( - data="What is this in this picture?", - ), - ImagePromptMessageContent( - mime_type="image/png", - format="png", - 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", - ), - ] - ) - ], - model_parameters={"temperature": 0.1, "num_predict": 100}, - stream=False, - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -def test_get_num_tokens(): - model = OllamaLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 2048, - "max_tokens": 2048, - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 6 diff --git a/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py b/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py deleted file mode 100644 index 3c4f740a4fd09c..00000000000000 --- a/api/tests/integration_tests/model_runtime/ollama/test_text_embedding.py +++ /dev/null @@ -1,65 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.ollama.text_embedding.text_embedding import OllamaEmbeddingModel - - -def test_validate_credentials(): - model = OllamaEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="mistral:text", - credentials={ - "base_url": "http://localhost:21434", - "mode": "chat", - "context_size": 4096, - }, - ) - - model.validate_credentials( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 4096, - }, - ) - - -def test_invoke_model(): - model = OllamaEmbeddingModel() - - result = model.invoke( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 4096, - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_get_num_tokens(): - model = OllamaEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="mistral:text", - credentials={ - "base_url": os.environ.get("OLLAMA_BASE_URL"), - "mode": "chat", - "context_size": 4096, - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openai/__init__.py b/api/tests/integration_tests/model_runtime/openai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/openai/test_llm.py b/api/tests/integration_tests/model_runtime/openai/test_llm.py deleted file mode 100644 index 9e83b9d434359d..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai/test_llm.py +++ /dev/null @@ -1,314 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - ImagePromptMessageContent, - PromptMessageTool, - SystemPromptMessage, - TextPromptMessageContent, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import AIModelEntity, ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai.llm.llm import OpenAILargeLanguageModel - -"""FOR MOCK FIXTURES, DO NOT REMOVE""" -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -def test_predefined_models(): - model = OpenAILargeLanguageModel() - model_schemas = model.predefined_models() - - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_credentials_for_chat_model(setup_openai_mock): - model = OpenAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="gpt-3.5-turbo", credentials={"openai_api_key": "invalid_key"}) - - model.validate_credentials(model="gpt-3.5-turbo", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) - - -@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) -def test_validate_credentials_for_completion_model(setup_openai_mock): - model = OpenAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="text-davinci-003", credentials={"openai_api_key": "invalid_key"}) - - model.validate_credentials( - model="text-davinci-003", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) -def test_invoke_completion_model(setup_openai_mock): - model = OpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-3.5-turbo-instruct", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.0, "max_tokens": 1}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - assert model._num_tokens_from_string("gpt-3.5-turbo-instruct", result.message.content) == 1 - - -@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) -def test_invoke_stream_completion_model(setup_openai_mock): - model = OpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-3.5-turbo-instruct", - credentials={ - "openai_api_key": os.environ.get("OPENAI_API_KEY"), - "openai_organization": os.environ.get("OPENAI_ORGANIZATION"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model(setup_openai_mock): - model = OpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-3.5-turbo", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.0, - "top_p": 1.0, - "presence_penalty": 0.0, - "frequency_penalty": 0.0, - "max_tokens": 10, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model_with_vision(setup_openai_mock): - model = OpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-4-vision-preview", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content=[ - TextPromptMessageContent( - data="Hello World!", - ), - ImagePromptMessageContent( - mime_type="image/png", - format="png", - 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", - ), - ] - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model_with_tools(setup_openai_mock): - model = OpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-3.5-turbo", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content="what's the weather today in London?", - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - PromptMessageTool( - name="get_stock_price", - description="Get the current stock price", - parameters={ - "type": "object", - "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, - "required": ["symbol"], - }, - ), - ], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert isinstance(result.message, AssistantPromptMessage) - assert len(result.message.tool_calls) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_stream_chat_model(setup_openai_mock): - model = OpenAILargeLanguageModel() - - result = model.invoke( - model="gpt-3.5-turbo", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - assert chunk.delta.usage.completion_tokens > 0 - - -def test_get_num_tokens(): - model = OpenAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="gpt-3.5-turbo-instruct", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 3 - - num_tokens = model.get_num_tokens( - model="gpt-3.5-turbo", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - ], - ) - - assert num_tokens == 72 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat", "remote"]], indirect=True) -def test_fine_tuned_models(setup_openai_mock): - model = OpenAILargeLanguageModel() - - remote_models = model.remote_models(credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) - - if not remote_models: - assert isinstance(remote_models, list) - else: - assert isinstance(remote_models[0], AIModelEntity) - - for llm_model in remote_models: - if llm_model.model_type == ModelType.LLM: - break - - assert isinstance(llm_model, AIModelEntity) - - # test invoke - result = model.invoke( - model=llm_model.model, - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - - -def test__get_num_tokens_by_gpt2(): - model = OpenAILargeLanguageModel() - num_tokens = model._get_num_tokens_by_gpt2("Hello World!") - - assert num_tokens == 3 diff --git a/api/tests/integration_tests/model_runtime/openai/test_moderation.py b/api/tests/integration_tests/model_runtime/openai/test_moderation.py deleted file mode 100644 index 6de262471798ad..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai/test_moderation.py +++ /dev/null @@ -1,44 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai.moderation.moderation import OpenAIModerationModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True) -def test_validate_credentials(setup_openai_mock): - model = OpenAIModerationModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="text-moderation-stable", credentials={"openai_api_key": "invalid_key"}) - - model.validate_credentials( - model="text-moderation-stable", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["moderation"]], indirect=True) -def test_invoke_model(setup_openai_mock): - model = OpenAIModerationModel() - - result = model.invoke( - model="text-moderation-stable", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - text="hello", - user="abc-123", - ) - - assert isinstance(result, bool) - assert result is False - - result = model.invoke( - model="text-moderation-stable", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - text="i will kill you", - user="abc-123", - ) - - assert isinstance(result, bool) - assert result is True diff --git a/api/tests/integration_tests/model_runtime/openai/test_provider.py b/api/tests/integration_tests/model_runtime/openai/test_provider.py deleted file mode 100644 index 4d56cfcf3c25f0..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai.openai import OpenAIProvider -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_provider_credentials(setup_openai_mock): - provider = OpenAIProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/openai/test_speech2text.py b/api/tests/integration_tests/model_runtime/openai/test_speech2text.py deleted file mode 100644 index aa92c8b61fb684..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai/test_speech2text.py +++ /dev/null @@ -1,45 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai.speech2text.speech2text import OpenAISpeech2TextModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True) -def test_validate_credentials(setup_openai_mock): - model = OpenAISpeech2TextModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="whisper-1", credentials={"openai_api_key": "invalid_key"}) - - model.validate_credentials(model="whisper-1", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) - - -@pytest.mark.parametrize("setup_openai_mock", [["speech2text"]], indirect=True) -def test_invoke_model(setup_openai_mock): - model = OpenAISpeech2TextModel() - - # Get the directory of the current file - current_dir = os.path.dirname(os.path.abspath(__file__)) - - # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), "assets") - - # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, "audio.mp3") - - # Open the file and get the file object - with open(audio_file_path, "rb") as audio_file: - file = audio_file - - result = model.invoke( - model="whisper-1", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, - file=file, - user="abc-123", - ) - - assert isinstance(result, str) - assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10" diff --git a/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py deleted file mode 100644 index f5dd73f2d4cd60..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai/test_text_embedding.py +++ /dev/null @@ -1,48 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai.text_embedding.text_embedding import OpenAITextEmbeddingModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_validate_credentials(setup_openai_mock): - model = OpenAITextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="text-embedding-ada-002", credentials={"openai_api_key": "invalid_key"}) - - model.validate_credentials( - model="text-embedding-ada-002", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_invoke_model(setup_openai_mock): - model = OpenAITextEmbeddingModel() - - result = model.invoke( - model="text-embedding-ada-002", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"}, - texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 4 - assert result.usage.total_tokens == 2 - - -def test_get_num_tokens(): - model = OpenAITextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="text-embedding-ada-002", - credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY"), "openai_api_base": "https://api.openai.com"}, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/__init__.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py deleted file mode 100644 index f2302ef05e06de..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_llm.py +++ /dev/null @@ -1,197 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - -""" -Using Together.ai's OpenAI-compatible API as testing endpoint -""" - - -def test_validate_credentials(): - model = OAIAPICompatLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={"api_key": "invalid_key", "endpoint_url": "https://api.together.xyz/v1/", "mode": "chat"}, - ) - - model.validate_credentials( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={ - "api_key": os.environ.get("TOGETHER_API_KEY"), - "endpoint_url": "https://api.together.xyz/v1/", - "mode": "chat", - }, - ) - - -def test_invoke_model(): - model = OAIAPICompatLargeLanguageModel() - - response = model.invoke( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={ - "api_key": os.environ.get("TOGETHER_API_KEY"), - "endpoint_url": "https://api.together.xyz/v1/", - "mode": "completion", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = OAIAPICompatLargeLanguageModel() - - response = model.invoke( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={ - "api_key": os.environ.get("TOGETHER_API_KEY"), - "endpoint_url": "https://api.together.xyz/v1/", - "mode": "chat", - "stream_mode_delimiter": "\\n\\n", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_invoke_stream_model_without_delimiter(): - model = OAIAPICompatLargeLanguageModel() - - response = model.invoke( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={ - "api_key": os.environ.get("TOGETHER_API_KEY"), - "endpoint_url": "https://api.together.xyz/v1/", - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -# using OpenAI's ChatGPT-3.5 as testing endpoint -def test_invoke_chat_model_with_tools(): - model = OAIAPICompatLargeLanguageModel() - - result = model.invoke( - model="gpt-3.5-turbo", - credentials={ - "api_key": os.environ.get("OPENAI_API_KEY"), - "endpoint_url": "https://api.openai.com/v1/", - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content="what's the weather today in London?", - ), - ], - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 1024}, - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert isinstance(result.message, AssistantPromptMessage) - assert len(result.message.tool_calls) > 0 - - -def test_get_num_tokens(): - model = OAIAPICompatLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py deleted file mode 100644 index cf805eafff4968..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_speech2text.py +++ /dev/null @@ -1,50 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai_api_compatible.speech2text.speech2text import ( - OAICompatSpeech2TextModel, -) - - -def test_validate_credentials(): - model = OAICompatSpeech2TextModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="whisper-1", - credentials={"api_key": "invalid_key", "endpoint_url": "https://api.openai.com/v1/"}, - ) - - model.validate_credentials( - model="whisper-1", - credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"}, - ) - - -def test_invoke_model(): - model = OAICompatSpeech2TextModel() - - # Get the directory of the current file - current_dir = os.path.dirname(os.path.abspath(__file__)) - - # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), "assets") - - # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, "audio.mp3") - - # Open the file and get the file object - with open(audio_file_path, "rb") as audio_file: - file = audio_file - - result = model.invoke( - model="whisper-1", - credentials={"api_key": os.environ.get("OPENAI_API_KEY"), "endpoint_url": "https://api.openai.com/v1/"}, - file=file, - user="abc-123", - ) - - assert isinstance(result, str) - assert result == "1, 2, 3, 4, 5, 6, 7, 8, 9, 10" diff --git a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py b/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py deleted file mode 100644 index 052b41605f6da2..00000000000000 --- a/api/tests/integration_tests/model_runtime/openai_api_compatible/test_text_embedding.py +++ /dev/null @@ -1,67 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openai_api_compatible.text_embedding.text_embedding import ( - OAICompatEmbeddingModel, -) - -""" -Using OpenAI's API as testing endpoint -""" - - -def test_validate_credentials(): - model = OAICompatEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="text-embedding-ada-002", - credentials={"api_key": "invalid_key", "endpoint_url": "https://api.openai.com/v1/", "context_size": 8184}, - ) - - model.validate_credentials( - model="text-embedding-ada-002", - credentials={ - "api_key": os.environ.get("OPENAI_API_KEY"), - "endpoint_url": "https://api.openai.com/v1/", - "context_size": 8184, - }, - ) - - -def test_invoke_model(): - model = OAICompatEmbeddingModel() - - result = model.invoke( - model="text-embedding-ada-002", - credentials={ - "api_key": os.environ.get("OPENAI_API_KEY"), - "endpoint_url": "https://api.openai.com/v1/", - "context_size": 8184, - }, - texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 4 - assert result.usage.total_tokens == 502 - - -def test_get_num_tokens(): - model = OAICompatEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="text-embedding-ada-002", - credentials={ - "api_key": os.environ.get("OPENAI_API_KEY"), - "endpoint_url": "https://api.openai.com/v1/embeddings", - "context_size": 8184, - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openllm/__init__.py b/api/tests/integration_tests/model_runtime/openllm/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/openllm/test_embedding.py b/api/tests/integration_tests/model_runtime/openllm/test_embedding.py deleted file mode 100644 index 14d47217af62c8..00000000000000 --- a/api/tests/integration_tests/model_runtime/openllm/test_embedding.py +++ /dev/null @@ -1,57 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openllm.text_embedding.text_embedding import OpenLLMTextEmbeddingModel - - -def test_validate_credentials(): - model = OpenLLMTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "server_url": "ww" + os.environ.get("OPENLLM_SERVER_URL"), - }, - ) - - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "server_url": os.environ.get("OPENLLM_SERVER_URL"), - }, - ) - - -def test_invoke_model(): - model = OpenLLMTextEmbeddingModel() - - result = model.invoke( - model="NOT IMPORTANT", - credentials={ - "server_url": os.environ.get("OPENLLM_SERVER_URL"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens > 0 - - -def test_get_num_tokens(): - model = OpenLLMTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="NOT IMPORTANT", - credentials={ - "server_url": os.environ.get("OPENLLM_SERVER_URL"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/openllm/test_llm.py b/api/tests/integration_tests/model_runtime/openllm/test_llm.py deleted file mode 100644 index 35939e3cfe8bfd..00000000000000 --- a/api/tests/integration_tests/model_runtime/openllm/test_llm.py +++ /dev/null @@ -1,95 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openllm.llm.llm import OpenLLMLargeLanguageModel - - -def test_validate_credentials_for_chat_model(): - model = OpenLLMLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "server_url": "invalid_key", - }, - ) - - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "server_url": os.environ.get("OPENLLM_SERVER_URL"), - }, - ) - - -def test_invoke_model(): - model = OpenLLMLargeLanguageModel() - - response = model.invoke( - model="NOT IMPORTANT", - credentials={ - "server_url": os.environ.get("OPENLLM_SERVER_URL"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_stream_model(): - model = OpenLLMLargeLanguageModel() - - response = model.invoke( - model="NOT IMPORTANT", - credentials={ - "server_url": os.environ.get("OPENLLM_SERVER_URL"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = OpenLLMLargeLanguageModel() - - response = model.get_num_tokens( - model="NOT IMPORTANT", - credentials={ - "server_url": os.environ.get("OPENLLM_SERVER_URL"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - tools=[], - ) - - assert isinstance(response, int) - assert response == 3 diff --git a/api/tests/integration_tests/model_runtime/openrouter/__init__.py b/api/tests/integration_tests/model_runtime/openrouter/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/openrouter/test_llm.py b/api/tests/integration_tests/model_runtime/openrouter/test_llm.py deleted file mode 100644 index 1b0cc6bf4b8e76..00000000000000 --- a/api/tests/integration_tests/model_runtime/openrouter/test_llm.py +++ /dev/null @@ -1,103 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.openrouter.llm.llm import OpenRouterLargeLanguageModel - - -def test_validate_credentials(): - model = OpenRouterLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="mistralai/mixtral-8x7b-instruct", credentials={"api_key": "invalid_key", "mode": "chat"} - ) - - model.validate_credentials( - model="mistralai/mixtral-8x7b-instruct", - credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, - ) - - -def test_invoke_model(): - model = OpenRouterLargeLanguageModel() - - response = model.invoke( - model="mistralai/mixtral-8x7b-instruct", - credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = OpenRouterLargeLanguageModel() - - response = model.invoke( - model="mistralai/mixtral-8x7b-instruct", - credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_get_num_tokens(): - model = OpenRouterLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="mistralai/mixtral-8x7b-instruct", - credentials={ - "api_key": os.environ.get("TOGETHER_API_KEY"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/replicate/__init__.py b/api/tests/integration_tests/model_runtime/replicate/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/replicate/test_llm.py b/api/tests/integration_tests/model_runtime/replicate/test_llm.py deleted file mode 100644 index b940005b715760..00000000000000 --- a/api/tests/integration_tests/model_runtime/replicate/test_llm.py +++ /dev/null @@ -1,112 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.replicate.llm.llm import ReplicateLargeLanguageModel - - -def test_validate_credentials(): - model = ReplicateLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="meta/llama-2-13b-chat", - credentials={ - "replicate_api_token": "invalid_key", - "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d", - }, - ) - - model.validate_credentials( - model="meta/llama-2-13b-chat", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d", - }, - ) - - -def test_invoke_model(): - model = ReplicateLargeLanguageModel() - - response = model.invoke( - model="meta/llama-2-13b-chat", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = ReplicateLargeLanguageModel() - - response = model.invoke( - model="mistralai/mixtral-8x7b-instruct-v0.1", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_get_num_tokens(): - model = ReplicateLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "2b56576fcfbe32fa0526897d8385dd3fb3d36ba6fd0dbe033c72886b81ade93e", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 14 diff --git a/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py b/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py deleted file mode 100644 index 397715f2252083..00000000000000 --- a/api/tests/integration_tests/model_runtime/replicate/test_text_embedding.py +++ /dev/null @@ -1,136 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.replicate.text_embedding.text_embedding import ReplicateEmbeddingModel - - -def test_validate_credentials_one(): - model = ReplicateEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="replicate/all-mpnet-base-v2", - credentials={ - "replicate_api_token": "invalid_key", - "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305", - }, - ) - - model.validate_credentials( - model="replicate/all-mpnet-base-v2", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305", - }, - ) - - -def test_validate_credentials_two(): - model = ReplicateEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="nateraw/bge-large-en-v1.5", - credentials={ - "replicate_api_token": "invalid_key", - "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1", - }, - ) - - model.validate_credentials( - model="nateraw/bge-large-en-v1.5", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1", - }, - ) - - -def test_invoke_model_one(): - model = ReplicateEmbeddingModel() - - result = model.invoke( - model="nateraw/bge-large-en-v1.5", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "9cf9f015a9cb9c61d1a2610659cdac4a4ca222f2d3707a68517b18c198a9add1", - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_invoke_model_two(): - model = ReplicateEmbeddingModel() - - result = model.invoke( - model="andreasjansson/clip-features", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "75b33f253f7714a281ad3e9b28f63e3232d583716ef6718f2e46641077ea040a", - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_invoke_model_three(): - model = ReplicateEmbeddingModel() - - result = model.invoke( - model="replicate/all-mpnet-base-v2", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "b6b7585c9640cd7a9572c6e129c9549d79c9c31f0d3fdce7baac7c67ca38f305", - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_invoke_model_four(): - model = ReplicateEmbeddingModel() - - result = model.invoke( - model="nateraw/jina-embeddings-v2-base-en", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e", - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_get_num_tokens(): - model = ReplicateEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="nateraw/jina-embeddings-v2-base-en", - credentials={ - "replicate_api_token": os.environ.get("REPLICATE_API_KEY"), - "model_version": "f8367a1c072ba2bc28af549d1faeacfe9b88b3f0e475add7a75091dac507f79e", - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/sagemaker/__init__.py b/api/tests/integration_tests/model_runtime/sagemaker/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py b/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py deleted file mode 100644 index 41de2a17fda047..00000000000000 --- a/api/tests/integration_tests/model_runtime/sagemaker/test_provider.py +++ /dev/null @@ -1,13 +0,0 @@ -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.sagemaker.sagemaker import SageMakerProvider - - -def test_validate_provider_credentials(): - provider = SageMakerProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={}) diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py b/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py deleted file mode 100644 index d5a6798a1ef735..00000000000000 --- a/api/tests/integration_tests/model_runtime/sagemaker/test_rerank.py +++ /dev/null @@ -1,55 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.sagemaker.rerank.rerank import SageMakerRerankModel - - -def test_validate_credentials(): - model = SageMakerRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="bge-m3-rerank-v2", - credentials={ - "aws_region": os.getenv("AWS_REGION"), - "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), - }, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - - -def test_invoke_model(): - model = SageMakerRerankModel() - - result = model.invoke( - model="bge-m3-rerank-v2", - credentials={ - "aws_region": os.getenv("AWS_REGION"), - "aws_access_key": os.getenv("AWS_ACCESS_KEY"), - "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY"), - }, - query="What is the capital of the United States?", - docs=[ - "Carson City is the capital city of the American state of Nevada. At the 2010 United States " - "Census, Carson City had a population of 55,274.", - "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " - "are a political division controlled by the United States. Its capital is Saipan.", - ], - score_threshold=0.8, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 1 - assert result.docs[0].score >= 0.8 diff --git a/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py b/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py deleted file mode 100644 index f77601eea2c263..00000000000000 --- a/api/tests/integration_tests/model_runtime/sagemaker/test_text_embedding.py +++ /dev/null @@ -1,31 +0,0 @@ -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.sagemaker.text_embedding.text_embedding import SageMakerEmbeddingModel - - -def test_validate_credentials(): - model = SageMakerEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="bge-m3", credentials={}) - - model.validate_credentials(model="bge-m3-embedding", credentials={}) - - -def test_invoke_model(): - model = SageMakerEmbeddingModel() - - result = model.invoke(model="bge-m3-embedding", credentials={}, texts=["hello", "world"], user="abc-123") - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - - -def test_get_num_tokens(): - model = SageMakerEmbeddingModel() - - num_tokens = model.get_num_tokens(model="bge-m3-embedding", credentials={}, texts=[]) - - assert num_tokens == 0 diff --git a/api/tests/integration_tests/model_runtime/siliconflow/__init__.py b/api/tests/integration_tests/model_runtime/siliconflow/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py b/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py deleted file mode 100644 index f47c9c558808af..00000000000000 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_llm.py +++ /dev/null @@ -1,73 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.siliconflow.llm.llm import SiliconflowLargeLanguageModel - - -def test_validate_credentials(): - model = SiliconflowLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="deepseek-ai/DeepSeek-V2-Chat", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="deepseek-ai/DeepSeek-V2-Chat", credentials={"api_key": os.environ.get("API_KEY")}) - - -def test_invoke_model(): - model = SiliconflowLargeLanguageModel() - - response = model.invoke( - model="deepseek-ai/DeepSeek-V2-Chat", - credentials={"api_key": os.environ.get("API_KEY")}, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={"temperature": 0.5, "max_tokens": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = SiliconflowLargeLanguageModel() - - response = model.invoke( - model="deepseek-ai/DeepSeek-V2-Chat", - credentials={"api_key": os.environ.get("API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = SiliconflowLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="deepseek-ai/DeepSeek-V2-Chat", - credentials={"api_key": os.environ.get("API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 12 diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py b/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py deleted file mode 100644 index 8f70210b7a2ace..00000000000000 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_provider.py +++ /dev/null @@ -1,15 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.siliconflow.siliconflow import SiliconflowProvider - - -def test_validate_provider_credentials(): - provider = SiliconflowProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py b/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py deleted file mode 100644 index ad794613f91013..00000000000000 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_rerank.py +++ /dev/null @@ -1,47 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.siliconflow.rerank.rerank import SiliconflowRerankModel - - -def test_validate_credentials(): - model = SiliconflowRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="BAAI/bge-reranker-v2-m3", - credentials={"api_key": "invalid_key"}, - ) - - model.validate_credentials( - model="BAAI/bge-reranker-v2-m3", - credentials={ - "api_key": os.environ.get("API_KEY"), - }, - ) - - -def test_invoke_model(): - model = SiliconflowRerankModel() - - result = model.invoke( - model="BAAI/bge-reranker-v2-m3", - credentials={ - "api_key": os.environ.get("API_KEY"), - }, - query="Who is Kasumi?", - docs=[ - 'Kasumi is a girl\'s name of Japanese origin meaning "mist".', - "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ", - "and she leads a team named PopiParty.", - ], - score_threshold=0.8, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 0 - assert result.docs[0].score >= 0.8 diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py b/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py deleted file mode 100644 index 0502ba5ab404bc..00000000000000 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_speech2text.py +++ /dev/null @@ -1,45 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.siliconflow.speech2text.speech2text import SiliconflowSpeech2TextModel - - -def test_validate_credentials(): - model = SiliconflowSpeech2TextModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="iic/SenseVoiceSmall", - credentials={"api_key": "invalid_key"}, - ) - - model.validate_credentials( - model="iic/SenseVoiceSmall", - credentials={"api_key": os.environ.get("API_KEY")}, - ) - - -def test_invoke_model(): - model = SiliconflowSpeech2TextModel() - - # Get the directory of the current file - current_dir = os.path.dirname(os.path.abspath(__file__)) - - # Get assets directory - assets_dir = os.path.join(os.path.dirname(current_dir), "assets") - - # Construct the path to the audio file - audio_file_path = os.path.join(assets_dir, "audio.mp3") - - # Open the file and get the file object - with open(audio_file_path, "rb") as audio_file: - file = audio_file - - result = model.invoke( - model="iic/SenseVoiceSmall", credentials={"api_key": os.environ.get("API_KEY")}, file=file - ) - - assert isinstance(result, str) - assert result == "1,2,3,4,5,6,7,8,9,10." diff --git a/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py b/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py deleted file mode 100644 index ab143c10613a88..00000000000000 --- a/api/tests/integration_tests/model_runtime/siliconflow/test_text_embedding.py +++ /dev/null @@ -1,60 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.siliconflow.text_embedding.text_embedding import ( - SiliconflowTextEmbeddingModel, -) - - -def test_validate_credentials(): - model = SiliconflowTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="BAAI/bge-large-zh-v1.5", - credentials={"api_key": "invalid_key"}, - ) - - model.validate_credentials( - model="BAAI/bge-large-zh-v1.5", - credentials={ - "api_key": os.environ.get("API_KEY"), - }, - ) - - -def test_invoke_model(): - model = SiliconflowTextEmbeddingModel() - - result = model.invoke( - model="BAAI/bge-large-zh-v1.5", - credentials={ - "api_key": os.environ.get("API_KEY"), - }, - texts=[ - "hello", - "world", - ], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 6 - - -def test_get_num_tokens(): - model = SiliconflowTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="BAAI/bge-large-zh-v1.5", - credentials={ - "api_key": os.environ.get("API_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/spark/__init__.py b/api/tests/integration_tests/model_runtime/spark/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/spark/test_llm.py b/api/tests/integration_tests/model_runtime/spark/test_llm.py deleted file mode 100644 index 4fe2fd8c0a3eac..00000000000000 --- a/api/tests/integration_tests/model_runtime/spark/test_llm.py +++ /dev/null @@ -1,92 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.spark.llm.llm import SparkLargeLanguageModel - - -def test_validate_credentials(): - model = SparkLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="spark-1.5", credentials={"app_id": "invalid_key"}) - - model.validate_credentials( - model="spark-1.5", - credentials={ - "app_id": os.environ.get("SPARK_APP_ID"), - "api_secret": os.environ.get("SPARK_API_SECRET"), - "api_key": os.environ.get("SPARK_API_KEY"), - }, - ) - - -def test_invoke_model(): - model = SparkLargeLanguageModel() - - response = model.invoke( - model="spark-1.5", - credentials={ - "app_id": os.environ.get("SPARK_APP_ID"), - "api_secret": os.environ.get("SPARK_API_SECRET"), - "api_key": os.environ.get("SPARK_API_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={"temperature": 0.5, "max_tokens": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = SparkLargeLanguageModel() - - response = model.invoke( - model="spark-1.5", - credentials={ - "app_id": os.environ.get("SPARK_APP_ID"), - "api_secret": os.environ.get("SPARK_API_SECRET"), - "api_key": os.environ.get("SPARK_API_KEY"), - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.5, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = SparkLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="spark-1.5", - credentials={ - "app_id": os.environ.get("SPARK_APP_ID"), - "api_secret": os.environ.get("SPARK_API_SECRET"), - "api_key": os.environ.get("SPARK_API_KEY"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 14 diff --git a/api/tests/integration_tests/model_runtime/spark/test_provider.py b/api/tests/integration_tests/model_runtime/spark/test_provider.py deleted file mode 100644 index 9da0df6bb3d556..00000000000000 --- a/api/tests/integration_tests/model_runtime/spark/test_provider.py +++ /dev/null @@ -1,21 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.spark.spark import SparkProvider - - -def test_validate_provider_credentials(): - provider = SparkProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials( - credentials={ - "app_id": os.environ.get("SPARK_APP_ID"), - "api_secret": os.environ.get("SPARK_API_SECRET"), - "api_key": os.environ.get("SPARK_API_KEY"), - } - ) diff --git a/api/tests/integration_tests/model_runtime/stepfun/__init__.py b/api/tests/integration_tests/model_runtime/stepfun/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/stepfun/test_llm.py b/api/tests/integration_tests/model_runtime/stepfun/test_llm.py deleted file mode 100644 index f9afca6f5945b5..00000000000000 --- a/api/tests/integration_tests/model_runtime/stepfun/test_llm.py +++ /dev/null @@ -1,123 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.stepfun.llm.llm import StepfunLargeLanguageModel - - -def test_validate_credentials(): - model = StepfunLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="step-1-8k", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}) - - -def test_invoke_model(): - model = StepfunLargeLanguageModel() - - response = model.invoke( - model="step-1-8k", - credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.9, "top_p": 0.7}, - stop=["Hi"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = StepfunLargeLanguageModel() - - response = model.invoke( - model="step-1-8k", - credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.9, "top_p": 0.7}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_customizable_model_schema(): - model = StepfunLargeLanguageModel() - - schema = model.get_customizable_model_schema( - model="step-1-8k", credentials={"api_key": os.environ.get("STEPFUN_API_KEY")} - ) - assert isinstance(schema, AIModelEntity) - - -def test_invoke_chat_model_with_tools(): - model = StepfunLargeLanguageModel() - - result = model.invoke( - model="step-1-8k", - credentials={"api_key": os.environ.get("STEPFUN_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content="what's the weather today in Shanghai?", - ), - ], - model_parameters={"temperature": 0.9, "max_tokens": 100}, - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - PromptMessageTool( - name="get_stock_price", - description="Get the current stock price", - parameters={ - "type": "object", - "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, - "required": ["symbol"], - }, - ), - ], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert isinstance(result.message, AssistantPromptMessage) - assert len(result.message.tool_calls) > 0 diff --git a/api/tests/integration_tests/model_runtime/test_model_provider_factory.py b/api/tests/integration_tests/model_runtime/test_model_provider_factory.py deleted file mode 100644 index 0ec4b0b7243176..00000000000000 --- a/api/tests/integration_tests/model_runtime/test_model_provider_factory.py +++ /dev/null @@ -1,69 +0,0 @@ -import logging -import os - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.entities.provider_entities import ProviderConfig, ProviderEntity, SimpleProviderEntity -from core.model_runtime.model_providers.model_provider_factory import ModelProviderExtension, ModelProviderFactory - -logger = logging.getLogger(__name__) - - -def test_get_providers(): - factory = ModelProviderFactory() - providers = factory.get_providers() - - for provider in providers: - logger.debug(provider) - - assert len(providers) >= 1 - assert isinstance(providers[0], ProviderEntity) - - -def test_get_models(): - factory = ModelProviderFactory() - providers = factory.get_models( - model_type=ModelType.LLM, - provider_configs=[ - ProviderConfig(provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) - ], - ) - - logger.debug(providers) - - assert len(providers) >= 1 - assert isinstance(providers[0], SimpleProviderEntity) - - # all provider models type equals to ModelType.LLM - for provider in providers: - for provider_model in provider.models: - assert provider_model.model_type == ModelType.LLM - - providers = factory.get_models( - provider="openai", - provider_configs=[ - ProviderConfig(provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}) - ], - ) - - assert len(providers) == 1 - assert isinstance(providers[0], SimpleProviderEntity) - assert providers[0].provider == "openai" - - -def test_provider_credentials_validate(): - factory = ModelProviderFactory() - factory.provider_credentials_validate( - provider="openai", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")} - ) - - -def test__get_model_provider_map(): - factory = ModelProviderFactory() - model_providers = factory._get_model_provider_map() - - for name, model_provider in model_providers.items(): - logger.debug(name) - logger.debug(model_provider.provider_instance) - - assert len(model_providers) >= 1 - assert isinstance(model_providers["openai"], ModelProviderExtension) diff --git a/api/tests/integration_tests/model_runtime/togetherai/__init__.py b/api/tests/integration_tests/model_runtime/togetherai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/togetherai/test_llm.py b/api/tests/integration_tests/model_runtime/togetherai/test_llm.py deleted file mode 100644 index 5787e1bf6a8d99..00000000000000 --- a/api/tests/integration_tests/model_runtime/togetherai/test_llm.py +++ /dev/null @@ -1,103 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.togetherai.llm.llm import TogetherAILargeLanguageModel - - -def test_validate_credentials(): - model = TogetherAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", credentials={"api_key": "invalid_key", "mode": "chat"} - ) - - model.validate_credentials( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, - ) - - -def test_invoke_model(): - model = TogetherAILargeLanguageModel() - - response = model.invoke( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "completion"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = TogetherAILargeLanguageModel() - - response = model.invoke( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={"api_key": os.environ.get("TOGETHER_API_KEY"), "mode": "chat"}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_get_num_tokens(): - model = TogetherAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="mistralai/Mixtral-8x7B-Instruct-v0.1", - credentials={ - "api_key": os.environ.get("TOGETHER_API_KEY"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/tongyi/__init__.py b/api/tests/integration_tests/model_runtime/tongyi/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_llm.py b/api/tests/integration_tests/model_runtime/tongyi/test_llm.py deleted file mode 100644 index 61650735f2ad3f..00000000000000 --- a/api/tests/integration_tests/model_runtime/tongyi/test_llm.py +++ /dev/null @@ -1,75 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.tongyi.llm.llm import TongyiLargeLanguageModel - - -def test_validate_credentials(): - model = TongyiLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="qwen-turbo", credentials={"dashscope_api_key": "invalid_key"}) - - model.validate_credentials( - model="qwen-turbo", credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")} - ) - - -def test_invoke_model(): - model = TongyiLargeLanguageModel() - - response = model.invoke( - model="qwen-turbo", - credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={"temperature": 0.5, "max_tokens": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = TongyiLargeLanguageModel() - - response = model.invoke( - model="qwen-turbo", - credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = TongyiLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="qwen-turbo", - credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 12 diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_provider.py b/api/tests/integration_tests/model_runtime/tongyi/test_provider.py deleted file mode 100644 index 0bc96c84e73195..00000000000000 --- a/api/tests/integration_tests/model_runtime/tongyi/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.tongyi.tongyi import TongyiProvider - - -def test_validate_provider_credentials(): - provider = TongyiProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials( - credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")} - ) diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_rerank.py b/api/tests/integration_tests/model_runtime/tongyi/test_rerank.py deleted file mode 100644 index d37fcf897fc3a8..00000000000000 --- a/api/tests/integration_tests/model_runtime/tongyi/test_rerank.py +++ /dev/null @@ -1,40 +0,0 @@ -import os - -import dashscope # type: ignore -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.tongyi.rerank.rerank import GTERerankModel - - -def test_validate_credentials(): - model = GTERerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="get-rank", credentials={"dashscope_api_key": "invalid_key"}) - - model.validate_credentials( - model="get-rank", credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")} - ) - - -def test_invoke_model(): - model = GTERerankModel() - - result = model.invoke( - model=dashscope.TextReRank.Models.gte_rerank, - credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, - query="什么是文本排序模型", - docs=[ - "文本排序模型广泛用于搜索引擎和推荐系统中，它们根据文本相关性对候选文本进行排序", - "量子计算是计算科学的一个前沿领域", - "预训练语言模型的发展给文本排序模型带来了新的进展", - ], - score_threshold=0.7, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 0 - assert result.docs[0].score >= 0.7 diff --git a/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py b/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py deleted file mode 100644 index 905e7907fde5a8..00000000000000 --- a/api/tests/integration_tests/model_runtime/tongyi/test_response_format.py +++ /dev/null @@ -1,80 +0,0 @@ -import json -import os -from collections.abc import Generator - -from core.model_runtime.entities.llm_entities import LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage -from core.model_runtime.model_providers.tongyi.llm.llm import TongyiLargeLanguageModel - - -def test_invoke_model_with_json_response(): - """ - Test the invocation of a model with JSON response. - """ - model_list = [ - "qwen-max-0403", - "qwen-max-1201", - "qwen-max-longcontext", - "qwen-max", - "qwen-plus-chat", - "qwen-plus", - "qwen-turbo-chat", - "qwen-turbo", - ] - for model_name in model_list: - print("testing model: ", model_name) - invoke_model_with_json_response(model_name) - - -def invoke_model_with_json_response(model_name="qwen-max-0403"): - """ - Method to invoke the model with JSON response format. - Args: - model_name (str): The name of the model to invoke. Defaults to "qwen-max-0403". - - Returns: - None - """ - model = TongyiLargeLanguageModel() - - response = model.invoke( - model=model_name, - credentials={"dashscope_api_key": os.environ.get("TONGYI_DASHSCOPE_API_KEY")}, - prompt_messages=[ - UserPromptMessage(content='output json data with format `{"data": "test", "code": 200, "msg": "success"}') - ], - model_parameters={ - "temperature": 0.5, - "max_tokens": 50, - "response_format": "JSON", - }, - stream=True, - user="abc-123", - ) - print("=====================================") - print(response) - assert isinstance(response, Generator) - output = "" - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - output += chunk.delta.message.content - assert is_json(output) - - -def is_json(s): - """ - Check if a string is a valid JSON. - - Args: - s (str): The string to check. - - Returns: - bool: True if the string is a valid JSON, False otherwise. - """ - try: - json.loads(s) - except ValueError: - return False - return True diff --git a/api/tests/integration_tests/model_runtime/upstage/__init__.py b/api/tests/integration_tests/model_runtime/upstage/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/upstage/test_llm.py b/api/tests/integration_tests/model_runtime/upstage/test_llm.py deleted file mode 100644 index 0f39e902f33803..00000000000000 --- a/api/tests/integration_tests/model_runtime/upstage/test_llm.py +++ /dev/null @@ -1,185 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.upstage.llm.llm import UpstageLargeLanguageModel - -"""FOR MOCK FIXTURES, DO NOT REMOVE""" -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -def test_predefined_models(): - model = UpstageLargeLanguageModel() - model_schemas = model.predefined_models() - - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_credentials_for_chat_model(setup_openai_mock): - model = UpstageLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - # model name to gpt-3.5-turbo because of mocking - model.validate_credentials(model="gpt-3.5-turbo", credentials={"upstage_api_key": "invalid_key"}) - - model.validate_credentials( - model="solar-1-mini-chat", credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")} - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model(setup_openai_mock): - model = UpstageLargeLanguageModel() - - result = model.invoke( - model="solar-1-mini-chat", - credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.0, - "top_p": 1.0, - "presence_penalty": 0.0, - "frequency_penalty": 0.0, - "max_tokens": 10, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model_with_tools(setup_openai_mock): - model = UpstageLargeLanguageModel() - - result = model.invoke( - model="solar-1-mini-chat", - credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content="what's the weather today in London?", - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - PromptMessageTool( - name="get_stock_price", - description="Get the current stock price", - parameters={ - "type": "object", - "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, - "required": ["symbol"], - }, - ), - ], - stream=False, - user="abc-123", - ) - - assert isinstance(result, LLMResult) - assert isinstance(result.message, AssistantPromptMessage) - assert len(result.message.tool_calls) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_stream_chat_model(setup_openai_mock): - model = UpstageLargeLanguageModel() - - result = model.invoke( - model="solar-1-mini-chat", - credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="abc-123", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - assert chunk.delta.usage.completion_tokens > 0 - - -def test_get_num_tokens(): - model = UpstageLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="solar-1-mini-chat", - credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 13 - - num_tokens = model.get_num_tokens( - model="solar-1-mini-chat", - credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - ], - ) - - assert num_tokens == 106 diff --git a/api/tests/integration_tests/model_runtime/upstage/test_provider.py b/api/tests/integration_tests/model_runtime/upstage/test_provider.py deleted file mode 100644 index 9d83779aa00a49..00000000000000 --- a/api/tests/integration_tests/model_runtime/upstage/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.upstage.upstage import UpstageProvider -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_provider_credentials(setup_openai_mock): - provider = UpstageProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py b/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py deleted file mode 100644 index 8c83172fa3ff7e..00000000000000 --- a/api/tests/integration_tests/model_runtime/upstage/test_text_embedding.py +++ /dev/null @@ -1,54 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.upstage.text_embedding.text_embedding import UpstageTextEmbeddingModel -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_validate_credentials(setup_openai_mock): - model = UpstageTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="solar-embedding-1-large-passage", credentials={"upstage_api_key": "invalid_key"} - ) - - model.validate_credentials( - model="solar-embedding-1-large-passage", credentials={"upstage_api_key": os.environ.get("UPSTAGE_API_KEY")} - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["text_embedding"]], indirect=True) -def test_invoke_model(setup_openai_mock): - model = UpstageTextEmbeddingModel() - - result = model.invoke( - model="solar-embedding-1-large-passage", - credentials={ - "upstage_api_key": os.environ.get("UPSTAGE_API_KEY"), - }, - texts=["hello", "world", " ".join(["long_text"] * 100), " ".join(["another_long_text"] * 100)], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 4 - assert result.usage.total_tokens == 2 - - -def test_get_num_tokens(): - model = UpstageTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="solar-embedding-1-large-passage", - credentials={ - "upstage_api_key": os.environ.get("UPSTAGE_API_KEY"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 5 diff --git a/api/tests/integration_tests/model_runtime/vessl_ai/__init__.py b/api/tests/integration_tests/model_runtime/vessl_ai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/vessl_ai/test_llm.py b/api/tests/integration_tests/model_runtime/vessl_ai/test_llm.py deleted file mode 100644 index 7797d0f8e46a87..00000000000000 --- a/api/tests/integration_tests/model_runtime/vessl_ai/test_llm.py +++ /dev/null @@ -1,131 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.vessl_ai.llm.llm import VesslAILargeLanguageModel - - -def test_validate_credentials(): - model = VesslAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model=os.environ.get("VESSL_AI_MODEL_NAME"), - credentials={ - "api_key": "invalid_key", - "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"), - "mode": "chat", - }, - ) - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model=os.environ.get("VESSL_AI_MODEL_NAME"), - credentials={ - "api_key": os.environ.get("VESSL_AI_API_KEY"), - "endpoint_url": "http://invalid_url", - "mode": "chat", - }, - ) - - model.validate_credentials( - model=os.environ.get("VESSL_AI_MODEL_NAME"), - credentials={ - "api_key": os.environ.get("VESSL_AI_API_KEY"), - "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"), - "mode": "chat", - }, - ) - - -def test_invoke_model(): - model = VesslAILargeLanguageModel() - - response = model.invoke( - model=os.environ.get("VESSL_AI_MODEL_NAME"), - credentials={ - "api_key": os.environ.get("VESSL_AI_API_KEY"), - "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"), - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = VesslAILargeLanguageModel() - - response = model.invoke( - model=os.environ.get("VESSL_AI_MODEL_NAME"), - credentials={ - "api_key": os.environ.get("VESSL_AI_API_KEY"), - "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"), - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Who are you?"), - ], - model_parameters={ - "temperature": 1.0, - "top_k": 2, - "top_p": 0.5, - }, - stop=["How"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - - -def test_get_num_tokens(): - model = VesslAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model=os.environ.get("VESSL_AI_MODEL_NAME"), - credentials={ - "api_key": os.environ.get("VESSL_AI_API_KEY"), - "endpoint_url": os.environ.get("VESSL_AI_ENDPOINT_URL"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/__init__.py b/api/tests/integration_tests/model_runtime/volcengine_maas/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py b/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py deleted file mode 100644 index f831c063a42630..00000000000000 --- a/api/tests/integration_tests/model_runtime/volcengine_maas/test_embedding.py +++ /dev/null @@ -1,79 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.volcengine_maas.text_embedding.text_embedding import ( - VolcengineMaaSTextEmbeddingModel, -) - - -def test_validate_credentials(): - model = VolcengineMaaSTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": "INVALID", - "volc_secret_access_key": "INVALID", - "endpoint_id": "INVALID", - "base_model_name": "Doubao-embedding", - }, - ) - - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": os.environ.get("VOLC_API_KEY"), - "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), - "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"), - "base_model_name": "Doubao-embedding", - }, - ) - - -def test_invoke_model(): - model = VolcengineMaaSTextEmbeddingModel() - - result = model.invoke( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": os.environ.get("VOLC_API_KEY"), - "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), - "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"), - "base_model_name": "Doubao-embedding", - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens > 0 - - -def test_get_num_tokens(): - model = VolcengineMaaSTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": os.environ.get("VOLC_API_KEY"), - "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), - "endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"), - "base_model_name": "Doubao-embedding", - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py b/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py deleted file mode 100644 index 8ff9c414046e7d..00000000000000 --- a/api/tests/integration_tests/model_runtime/volcengine_maas/test_llm.py +++ /dev/null @@ -1,118 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.volcengine_maas.llm.llm import VolcengineMaaSLargeLanguageModel - - -def test_validate_credentials_for_chat_model(): - model = VolcengineMaaSLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": "INVALID", - "volc_secret_access_key": "INVALID", - "endpoint_id": "INVALID", - }, - ) - - model.validate_credentials( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": os.environ.get("VOLC_API_KEY"), - "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), - "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), - }, - ) - - -def test_invoke_model(): - model = VolcengineMaaSLargeLanguageModel() - - response = model.invoke( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": os.environ.get("VOLC_API_KEY"), - "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), - "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), - "base_model_name": "Skylark2-pro-4k", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_stream_model(): - model = VolcengineMaaSLargeLanguageModel() - - response = model.invoke( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": os.environ.get("VOLC_API_KEY"), - "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), - "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), - "base_model_name": "Skylark2-pro-4k", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "top_k": 1, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = VolcengineMaaSLargeLanguageModel() - - response = model.get_num_tokens( - model="NOT IMPORTANT", - credentials={ - "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", - "volc_region": "cn-beijing", - "volc_access_key_id": os.environ.get("VOLC_API_KEY"), - "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), - "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), - "base_model_name": "Skylark2-pro-4k", - }, - prompt_messages=[UserPromptMessage(content="Hello World!")], - tools=[], - ) - - assert isinstance(response, int) - assert response == 6 diff --git a/api/tests/integration_tests/model_runtime/voyage/__init__.py b/api/tests/integration_tests/model_runtime/voyage/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/voyage/test_provider.py b/api/tests/integration_tests/model_runtime/voyage/test_provider.py deleted file mode 100644 index 08978c88a961e7..00000000000000 --- a/api/tests/integration_tests/model_runtime/voyage/test_provider.py +++ /dev/null @@ -1,25 +0,0 @@ -import os -from unittest.mock import Mock, patch - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.voyage.voyage import VoyageProvider - - -def test_validate_provider_credentials(): - provider = VoyageProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"api_key": "hahahaha"}) - with patch("requests.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "object": "list", - "data": [{"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}], - "model": "voyage-3", - "usage": {"total_tokens": 1}, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("VOYAGE_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/voyage/test_rerank.py b/api/tests/integration_tests/model_runtime/voyage/test_rerank.py deleted file mode 100644 index e97a9e4c811c82..00000000000000 --- a/api/tests/integration_tests/model_runtime/voyage/test_rerank.py +++ /dev/null @@ -1,92 +0,0 @@ -import os -from unittest.mock import Mock, patch - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.voyage.rerank.rerank import VoyageRerankModel - - -def test_validate_credentials(): - model = VoyageRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="rerank-lite-1", - credentials={"api_key": "invalid_key"}, - ) - with patch("httpx.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "object": "list", - "data": [ - { - "relevance_score": 0.546875, - "index": 0, - "document": "Carson City is the capital city of the American state of Nevada. At the 2010 United " - "States Census, Carson City had a population of 55,274.", - }, - { - "relevance_score": 0.4765625, - "index": 1, - "document": "The Commonwealth of the Northern Mariana Islands is a group of islands in the " - "Pacific Ocean that are a political division controlled by the United States. Its " - "capital is Saipan.", - }, - ], - "model": "rerank-lite-1", - "usage": {"total_tokens": 96}, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - model.validate_credentials( - model="rerank-lite-1", - credentials={ - "api_key": os.environ.get("VOYAGE_API_KEY"), - }, - ) - - -def test_invoke_model(): - model = VoyageRerankModel() - with patch("httpx.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "object": "list", - "data": [ - { - "relevance_score": 0.84375, - "index": 0, - "document": "Kasumi is a girl name of Japanese origin meaning mist.", - }, - { - "relevance_score": 0.4765625, - "index": 1, - "document": "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she " - "leads a team named PopiParty.", - }, - ], - "model": "rerank-lite-1", - "usage": {"total_tokens": 59}, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - result = model.invoke( - model="rerank-lite-1", - credentials={ - "api_key": os.environ.get("VOYAGE_API_KEY"), - }, - query="Who is Kasumi?", - docs=[ - "Kasumi is a girl name of Japanese origin meaning mist.", - "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music and she leads a team named " - "PopiParty.", - ], - score_threshold=0.5, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 0 - assert result.docs[0].score >= 0.5 diff --git a/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py b/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py deleted file mode 100644 index 75719672a9ecc9..00000000000000 --- a/api/tests/integration_tests/model_runtime/voyage/test_text_embedding.py +++ /dev/null @@ -1,70 +0,0 @@ -import os -from unittest.mock import Mock, patch - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.voyage.text_embedding.text_embedding import VoyageTextEmbeddingModel - - -def test_validate_credentials(): - model = VoyageTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="voyage-3", credentials={"api_key": "invalid_key"}) - with patch("requests.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "object": "list", - "data": [{"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}], - "model": "voyage-3", - "usage": {"total_tokens": 1}, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - model.validate_credentials(model="voyage-3", credentials={"api_key": os.environ.get("VOYAGE_API_KEY")}) - - -def test_invoke_model(): - model = VoyageTextEmbeddingModel() - - with patch("requests.post") as mock_post: - mock_response = Mock() - mock_response.json.return_value = { - "object": "list", - "data": [ - {"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 0}, - {"object": "embedding", "embedding": [0.23333 for _ in range(1024)], "index": 1}, - ], - "model": "voyage-3", - "usage": {"total_tokens": 2}, - } - mock_response.status_code = 200 - mock_post.return_value = mock_response - result = model.invoke( - model="voyage-3", - credentials={ - "api_key": os.environ.get("VOYAGE_API_KEY"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens == 2 - - -def test_get_num_tokens(): - model = VoyageTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="voyage-3", - credentials={ - "api_key": os.environ.get("VOYAGE_API_KEY"), - }, - texts=["ping"], - ) - - assert num_tokens == 1 diff --git a/api/tests/integration_tests/model_runtime/wenxin/__init__.py b/api/tests/integration_tests/model_runtime/wenxin/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py b/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py deleted file mode 100644 index ac38340aecf7d2..00000000000000 --- a/api/tests/integration_tests/model_runtime/wenxin/test_embedding.py +++ /dev/null @@ -1,69 +0,0 @@ -import os -from time import sleep - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.model_providers.wenxin.text_embedding.text_embedding import WenxinTextEmbeddingModel - - -def test_invoke_embedding_v1(): - sleep(3) - model = WenxinTextEmbeddingModel() - - response = model.invoke( - model="embedding-v1", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - texts=["hello", "你好", "xxxxx"], - user="abc-123", - ) - - assert isinstance(response, TextEmbeddingResult) - assert len(response.embeddings) == 3 - assert isinstance(response.embeddings[0], list) - - -def test_invoke_embedding_bge_large_en(): - sleep(3) - model = WenxinTextEmbeddingModel() - - response = model.invoke( - model="bge-large-en", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - texts=["hello", "你好", "xxxxx"], - user="abc-123", - ) - - assert isinstance(response, TextEmbeddingResult) - assert len(response.embeddings) == 3 - assert isinstance(response.embeddings[0], list) - - -def test_invoke_embedding_bge_large_zh(): - sleep(3) - model = WenxinTextEmbeddingModel() - - response = model.invoke( - model="bge-large-zh", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - texts=["hello", "你好", "xxxxx"], - user="abc-123", - ) - - assert isinstance(response, TextEmbeddingResult) - assert len(response.embeddings) == 3 - assert isinstance(response.embeddings[0], list) - - -def test_invoke_embedding_tao_8k(): - sleep(3) - model = WenxinTextEmbeddingModel() - - response = model.invoke( - model="tao-8k", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - texts=["hello", "你好", "xxxxx"], - user="abc-123", - ) - - assert isinstance(response, TextEmbeddingResult) - assert len(response.embeddings) == 3 - assert isinstance(response.embeddings[0], list) diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_llm.py b/api/tests/integration_tests/model_runtime/wenxin/test_llm.py deleted file mode 100644 index e2e58f15e025d8..00000000000000 --- a/api/tests/integration_tests/model_runtime/wenxin/test_llm.py +++ /dev/null @@ -1,214 +0,0 @@ -import os -from collections.abc import Generator -from time import sleep - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.wenxin.llm.llm import ErnieBotLargeLanguageModel - - -def test_predefined_models(): - model = ErnieBotLargeLanguageModel() - model_schemas = model.predefined_models() - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -def test_validate_credentials_for_chat_model(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="ernie-bot", credentials={"api_key": "invalid_key", "secret_key": "invalid_key"} - ) - - model.validate_credentials( - model="ernie-bot", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - ) - - -def test_invoke_model_ernie_bot(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.invoke( - model="ernie-bot", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_model_ernie_bot_turbo(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.invoke( - model="ernie-bot-turbo", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_model_ernie_8k(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.invoke( - model="ernie-bot-8k", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_model_ernie_bot_4(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.invoke( - model="ernie-bot-4", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -def test_invoke_stream_model(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.invoke( - model="ernie-3.5-8k", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_invoke_model_with_system(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.invoke( - model="ernie-bot", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[SystemPromptMessage(content="你是Kasumi"), UserPromptMessage(content="你是谁？")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert "kasumi" in response.message.content.lower() - - -def test_invoke_with_search(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.invoke( - model="ernie-bot", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[UserPromptMessage(content="北京今天的天气怎么样")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - "disable_search": True, - }, - stop=[], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - total_message = "" - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - total_message += chunk.delta.message.content - print(chunk.delta.message.content) - assert len(chunk.delta.message.content) > 0 if not chunk.delta.finish_reason else True - - # there should be 对不起、我不能、不支持…… - assert "不" in total_message or "抱歉" in total_message or "无法" in total_message - - -def test_get_num_tokens(): - sleep(3) - model = ErnieBotLargeLanguageModel() - - response = model.get_num_tokens( - model="ernie-bot", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - tools=[], - ) - - assert isinstance(response, int) - assert response == 10 diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_provider.py b/api/tests/integration_tests/model_runtime/wenxin/test_provider.py deleted file mode 100644 index 337c3d2a8010dd..00000000000000 --- a/api/tests/integration_tests/model_runtime/wenxin/test_provider.py +++ /dev/null @@ -1,17 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.wenxin.wenxin import WenxinProvider - - -def test_validate_provider_credentials(): - provider = WenxinProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={"api_key": "hahahaha", "secret_key": "hahahaha"}) - - provider.validate_provider_credentials( - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")} - ) diff --git a/api/tests/integration_tests/model_runtime/wenxin/test_rerank.py b/api/tests/integration_tests/model_runtime/wenxin/test_rerank.py deleted file mode 100644 index 33c803e8e1964e..00000000000000 --- a/api/tests/integration_tests/model_runtime/wenxin/test_rerank.py +++ /dev/null @@ -1,21 +0,0 @@ -import os -from time import sleep - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.model_providers.wenxin.rerank.rerank import WenxinRerankModel - - -def test_invoke_bce_reranker_base_v1(): - sleep(3) - model = WenxinRerankModel() - - response = model.invoke( - model="bce-reranker-base_v1", - credentials={"api_key": os.environ.get("WENXIN_API_KEY"), "secret_key": os.environ.get("WENXIN_SECRET_KEY")}, - query="What is Deep Learning?", - docs=["Deep Learning is ...", "My Book is ..."], - user="abc-123", - ) - - assert isinstance(response, RerankResult) - assert len(response.docs) == 2 diff --git a/api/tests/integration_tests/model_runtime/x/__init__.py b/api/tests/integration_tests/model_runtime/x/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/x/test_llm.py b/api/tests/integration_tests/model_runtime/x/test_llm.py deleted file mode 100644 index 647a2f648075e5..00000000000000 --- a/api/tests/integration_tests/model_runtime/x/test_llm.py +++ /dev/null @@ -1,204 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.x.llm.llm import XAILargeLanguageModel - -"""FOR MOCK FIXTURES, DO NOT REMOVE""" -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -def test_predefined_models(): - model = XAILargeLanguageModel() - model_schemas = model.predefined_models() - - assert len(model_schemas) >= 1 - assert isinstance(model_schemas[0], AIModelEntity) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_validate_credentials_for_chat_model(setup_openai_mock): - model = XAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - # model name to gpt-3.5-turbo because of mocking - model.validate_credentials( - model="gpt-3.5-turbo", - credentials={"api_key": "invalid_key", "endpoint_url": os.environ.get("XAI_API_BASE"), "mode": "chat"}, - ) - - model.validate_credentials( - model="grok-beta", - credentials={ - "api_key": os.environ.get("XAI_API_KEY"), - "endpoint_url": os.environ.get("XAI_API_BASE"), - "mode": "chat", - }, - ) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model(setup_openai_mock): - model = XAILargeLanguageModel() - - result = model.invoke( - model="grok-beta", - credentials={ - "api_key": os.environ.get("XAI_API_KEY"), - "endpoint_url": os.environ.get("XAI_API_BASE"), - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.0, - "top_p": 1.0, - "presence_penalty": 0.0, - "frequency_penalty": 0.0, - "max_tokens": 10, - }, - stop=["How"], - stream=False, - user="foo", - ) - - assert isinstance(result, LLMResult) - assert len(result.message.content) > 0 - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_chat_model_with_tools(setup_openai_mock): - model = XAILargeLanguageModel() - - result = model.invoke( - model="grok-beta", - credentials={ - "api_key": os.environ.get("XAI_API_KEY"), - "endpoint_url": os.environ.get("XAI_API_BASE"), - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage( - content="what's the weather today in London?", - ), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - PromptMessageTool( - name="get_stock_price", - description="Get the current stock price", - parameters={ - "type": "object", - "properties": {"symbol": {"type": "string", "description": "The stock symbol"}}, - "required": ["symbol"], - }, - ), - ], - stream=False, - user="foo", - ) - - assert isinstance(result, LLMResult) - assert isinstance(result.message, AssistantPromptMessage) - - -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_invoke_stream_chat_model(setup_openai_mock): - model = XAILargeLanguageModel() - - result = model.invoke( - model="grok-beta", - credentials={ - "api_key": os.environ.get("XAI_API_KEY"), - "endpoint_url": os.environ.get("XAI_API_BASE"), - "mode": "chat", - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={"temperature": 0.0, "max_tokens": 100}, - stream=True, - user="foo", - ) - - assert isinstance(result, Generator) - - for chunk in result: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - if chunk.delta.finish_reason is not None: - assert chunk.delta.usage is not None - assert chunk.delta.usage.completion_tokens > 0 - - -def test_get_num_tokens(): - model = XAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="grok-beta", - credentials={"api_key": os.environ.get("XAI_API_KEY"), "endpoint_url": os.environ.get("XAI_API_BASE")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - ) - - assert num_tokens == 10 - - num_tokens = model.get_num_tokens( - model="grok-beta", - credentials={"api_key": os.environ.get("XAI_API_KEY"), "endpoint_url": os.environ.get("XAI_API_BASE")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_weather", - description="Determine weather in my location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ), - ], - ) - - assert num_tokens == 77 diff --git a/api/tests/integration_tests/model_runtime/xinference/__init__.py b/api/tests/integration_tests/model_runtime/xinference/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py b/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py deleted file mode 100644 index 8e778d005a4bc3..00000000000000 --- a/api/tests/integration_tests/model_runtime/xinference/test_embeddings.py +++ /dev/null @@ -1,64 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.xinference.text_embedding.text_embedding import XinferenceTextEmbeddingModel -from tests.integration_tests.model_runtime.__mock.xinference import MOCK, setup_xinference_mock - - -@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) -def test_validate_credentials(setup_xinference_mock): - model = XinferenceTextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="bge-base-en", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": "www " + os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), - }, - ) - - model.validate_credentials( - model="bge-base-en", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), - }, - ) - - -@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) -def test_invoke_model(setup_xinference_mock): - model = XinferenceTextEmbeddingModel() - - result = model.invoke( - model="bge-base-en", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), - }, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens > 0 - - -def test_get_num_tokens(): - model = XinferenceTextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="bge-base-en", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_EMBEDDINGS_MODEL_UID"), - }, - texts=["hello", "world"], - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/model_runtime/xinference/test_llm.py b/api/tests/integration_tests/model_runtime/xinference/test_llm.py deleted file mode 100644 index 5e4cde36389b5b..00000000000000 --- a/api/tests/integration_tests/model_runtime/xinference/test_llm.py +++ /dev/null @@ -1,364 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.xinference.llm.llm import XinferenceAILargeLanguageModel - -"""FOR MOCK FIXTURES, DO NOT REMOVE""" -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock -from tests.integration_tests.model_runtime.__mock.xinference import setup_xinference_mock - - -@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True) -def test_validate_credentials_for_chat_model(setup_openai_mock, setup_xinference_mock): - model = XinferenceAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="ChatGLM3", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": "www " + os.environ.get("XINFERENCE_CHAT_MODEL_UID"), - }, - ) - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="aaaaa", credentials={"server_url": "", "model_uid": ""}) - - model.validate_credentials( - model="ChatGLM3", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"), - }, - ) - - -@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True) -def test_invoke_chat_model(setup_openai_mock, setup_xinference_mock): - model = XinferenceAILargeLanguageModel() - - response = model.invoke( - model="ChatGLM3", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True) -def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock): - model = XinferenceAILargeLanguageModel() - - response = model.invoke( - model="ChatGLM3", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_CHAT_MODEL_UID"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -""" - Function calling of xinference does not support stream mode currently -""" -# def test_invoke_stream_chat_model_with_functions(): -# model = XinferenceAILargeLanguageModel() - -# response = model.invoke( -# model='ChatGLM3-6b', -# credentials={ -# 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), -# 'model_type': 'text-generation', -# 'model_name': 'ChatGLM3', -# 'model_uid': os.environ.get('XINFERENCE_CHAT_MODEL_UID') -# }, -# prompt_messages=[ -# SystemPromptMessage( -# content='你是一个天气机器人，可以通过调用函数来获取天气信息', -# ), -# UserPromptMessage( -# content='波士顿天气如何？' -# ) -# ], -# model_parameters={ -# 'temperature': 0, -# 'top_p': 1.0, -# }, -# stop=['you'], -# user='abc-123', -# stream=True, -# tools=[ -# PromptMessageTool( -# name='get_current_weather', -# description='Get the current weather in a given location', -# parameters={ -# "type": "object", -# "properties": { -# "location": { -# "type": "string", -# "description": "The city and state e.g. San Francisco, CA" -# }, -# "unit": { -# "type": "string", -# "enum": ["celsius", "fahrenheit"] -# } -# }, -# "required": [ -# "location" -# ] -# } -# ) -# ] -# ) - -# assert isinstance(response, Generator) - -# call: LLMResultChunk = None -# chunks = [] - -# for chunk in response: -# chunks.append(chunk) -# assert isinstance(chunk, LLMResultChunk) -# assert isinstance(chunk.delta, LLMResultChunkDelta) -# assert isinstance(chunk.delta.message, AssistantPromptMessage) -# assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - -# if chunk.delta.message.tool_calls and len(chunk.delta.message.tool_calls) > 0: -# call = chunk -# break - -# assert call is not None -# assert call.delta.message.tool_calls[0].function.name == 'get_current_weather' - -# def test_invoke_chat_model_with_functions(): -# model = XinferenceAILargeLanguageModel() - -# response = model.invoke( -# model='ChatGLM3-6b', -# credentials={ -# 'server_url': os.environ.get('XINFERENCE_SERVER_URL'), -# 'model_type': 'text-generation', -# 'model_name': 'ChatGLM3', -# 'model_uid': os.environ.get('XINFERENCE_CHAT_MODEL_UID') -# }, -# prompt_messages=[ -# UserPromptMessage( -# content='What is the weather like in San Francisco?' -# ) -# ], -# model_parameters={ -# 'temperature': 0.7, -# 'top_p': 1.0, -# }, -# stop=['you'], -# user='abc-123', -# stream=False, -# tools=[ -# PromptMessageTool( -# name='get_current_weather', -# description='Get the current weather in a given location', -# parameters={ -# "type": "object", -# "properties": { -# "location": { -# "type": "string", -# "description": "The city and state e.g. San Francisco, CA" -# }, -# "unit": { -# "type": "string", -# "enum": [ -# "c", -# "f" -# ] -# } -# }, -# "required": [ -# "location" -# ] -# } -# ) -# ] -# ) - -# assert isinstance(response, LLMResult) -# assert len(response.message.content) > 0 -# assert response.usage.total_tokens > 0 -# assert response.message.tool_calls[0].function.name == 'get_current_weather' - - -@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True) -def test_validate_credentials_for_generation_model(setup_openai_mock, setup_xinference_mock): - model = XinferenceAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="alapaca", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": "www " + os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), - }, - ) - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="alapaca", credentials={"server_url": "", "model_uid": ""}) - - model.validate_credentials( - model="alapaca", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), - }, - ) - - -@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True) -def test_invoke_generation_model(setup_openai_mock, setup_xinference_mock): - model = XinferenceAILargeLanguageModel() - - response = model.invoke( - model="alapaca", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), - }, - prompt_messages=[UserPromptMessage(content="the United States is")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - user="abc-123", - stream=False, - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - assert response.usage.total_tokens > 0 - - -@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True) -def test_invoke_stream_generation_model(setup_openai_mock, setup_xinference_mock): - model = XinferenceAILargeLanguageModel() - - response = model.invoke( - model="alapaca", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), - }, - prompt_messages=[UserPromptMessage(content="the United States is")], - model_parameters={ - "temperature": 0.7, - "top_p": 1.0, - }, - stop=["you"], - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = XinferenceAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="ChatGLM3", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ) - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 77 - - num_tokens = model.get_num_tokens( - model="ChatGLM3", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_GENERATION_MODEL_UID"), - }, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert isinstance(num_tokens, int) - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/xinference/test_rerank.py b/api/tests/integration_tests/model_runtime/xinference/test_rerank.py deleted file mode 100644 index 71ac4eef7c22be..00000000000000 --- a/api/tests/integration_tests/model_runtime/xinference/test_rerank.py +++ /dev/null @@ -1,52 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.rerank_entities import RerankResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.xinference.rerank.rerank import XinferenceRerankModel -from tests.integration_tests.model_runtime.__mock.xinference import MOCK, setup_xinference_mock - - -@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) -def test_validate_credentials(setup_xinference_mock): - model = XinferenceRerankModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials( - model="bge-reranker-base", - credentials={"server_url": "awdawdaw", "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID")}, - ) - - model.validate_credentials( - model="bge-reranker-base", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID"), - }, - ) - - -@pytest.mark.parametrize("setup_xinference_mock", [["none"]], indirect=True) -def test_invoke_model(setup_xinference_mock): - model = XinferenceRerankModel() - - result = model.invoke( - model="bge-reranker-base", - credentials={ - "server_url": os.environ.get("XINFERENCE_SERVER_URL"), - "model_uid": os.environ.get("XINFERENCE_RERANK_MODEL_UID"), - }, - query="Who is Kasumi?", - docs=[ - 'Kasumi is a girl\'s name of Japanese origin meaning "mist".', - "Her music is a kawaii bass, a mix of future bass, pop, and kawaii music ", - "and she leads a team named PopiParty.", - ], - score_threshold=0.8, - ) - - assert isinstance(result, RerankResult) - assert len(result.docs) == 1 - assert result.docs[0].index == 0 - assert result.docs[0].score >= 0.8 diff --git a/api/tests/integration_tests/model_runtime/zhinao/__init__.py b/api/tests/integration_tests/model_runtime/zhinao/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/zhinao/test_llm.py b/api/tests/integration_tests/model_runtime/zhinao/test_llm.py deleted file mode 100644 index 4ca1b864764818..00000000000000 --- a/api/tests/integration_tests/model_runtime/zhinao/test_llm.py +++ /dev/null @@ -1,73 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.zhinao.llm.llm import ZhinaoLargeLanguageModel - - -def test_validate_credentials(): - model = ZhinaoLargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="360gpt2-pro", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="360gpt2-pro", credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}) - - -def test_invoke_model(): - model = ZhinaoLargeLanguageModel() - - response = model.invoke( - model="360gpt2-pro", - credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={"temperature": 0.5, "max_tokens": 10}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = ZhinaoLargeLanguageModel() - - response = model.invoke( - model="360gpt2-pro", - credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = ZhinaoLargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="360gpt2-pro", - credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 21 diff --git a/api/tests/integration_tests/model_runtime/zhinao/test_provider.py b/api/tests/integration_tests/model_runtime/zhinao/test_provider.py deleted file mode 100644 index c22f797919597c..00000000000000 --- a/api/tests/integration_tests/model_runtime/zhinao/test_provider.py +++ /dev/null @@ -1,15 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.zhinao.zhinao import ZhinaoProvider - - -def test_validate_provider_credentials(): - provider = ZhinaoProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("ZHINAO_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/zhipuai/__init__.py b/api/tests/integration_tests/model_runtime/zhipuai/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py b/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py deleted file mode 100644 index 20380513eaa789..00000000000000 --- a/api/tests/integration_tests/model_runtime/zhipuai/test_llm.py +++ /dev/null @@ -1,109 +0,0 @@ -import os -from collections.abc import Generator - -import pytest - -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta -from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, - PromptMessageTool, - SystemPromptMessage, - UserPromptMessage, -) -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.zhipuai.llm.llm import ZhipuAILargeLanguageModel - - -def test_validate_credentials(): - model = ZhipuAILargeLanguageModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="chatglm_turbo", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="chatglm_turbo", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}) - - -def test_invoke_model(): - model = ZhipuAILargeLanguageModel() - - response = model.invoke( - model="chatglm_turbo", - credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Who are you?")], - model_parameters={"temperature": 0.9, "top_p": 0.7}, - stop=["How"], - stream=False, - user="abc-123", - ) - - assert isinstance(response, LLMResult) - assert len(response.message.content) > 0 - - -def test_invoke_stream_model(): - model = ZhipuAILargeLanguageModel() - - response = model.invoke( - model="chatglm_turbo", - credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, - prompt_messages=[UserPromptMessage(content="Hello World!")], - model_parameters={"temperature": 0.9, "top_p": 0.7}, - stream=True, - user="abc-123", - ) - - assert isinstance(response, Generator) - - for chunk in response: - assert isinstance(chunk, LLMResultChunk) - assert isinstance(chunk.delta, LLMResultChunkDelta) - assert isinstance(chunk.delta.message, AssistantPromptMessage) - assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True - - -def test_get_num_tokens(): - model = ZhipuAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="chatglm_turbo", - credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 14 - - -def test_get_tools_num_tokens(): - model = ZhipuAILargeLanguageModel() - - num_tokens = model.get_num_tokens( - model="tools", - credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, - tools=[ - PromptMessageTool( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": {"type": "string", "description": "The city and state e.g. San Francisco, CA"}, - "unit": {"type": "string", "enum": ["c", "f"]}, - }, - "required": ["location"], - }, - ) - ], - prompt_messages=[ - SystemPromptMessage( - content="You are a helpful AI assistant.", - ), - UserPromptMessage(content="Hello World!"), - ], - ) - - assert num_tokens == 88 diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py b/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py deleted file mode 100644 index cb5bc0b20aafc1..00000000000000 --- a/api/tests/integration_tests/model_runtime/zhipuai/test_provider.py +++ /dev/null @@ -1,15 +0,0 @@ -import os - -import pytest - -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.zhipuai.zhipuai import ZhipuaiProvider - - -def test_validate_provider_credentials(): - provider = ZhipuaiProvider() - - with pytest.raises(CredentialsValidateFailedError): - provider.validate_provider_credentials(credentials={}) - - provider.validate_provider_credentials(credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}) diff --git a/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py b/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py deleted file mode 100644 index 9c97c91ecbdd94..00000000000000 --- a/api/tests/integration_tests/model_runtime/zhipuai/test_text_embedding.py +++ /dev/null @@ -1,41 +0,0 @@ -import os - -import pytest - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.zhipuai.text_embedding.text_embedding import ZhipuAITextEmbeddingModel - - -def test_validate_credentials(): - model = ZhipuAITextEmbeddingModel() - - with pytest.raises(CredentialsValidateFailedError): - model.validate_credentials(model="text_embedding", credentials={"api_key": "invalid_key"}) - - model.validate_credentials(model="text_embedding", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}) - - -def test_invoke_model(): - model = ZhipuAITextEmbeddingModel() - - result = model.invoke( - model="text_embedding", - credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, - texts=["hello", "world"], - user="abc-123", - ) - - assert isinstance(result, TextEmbeddingResult) - assert len(result.embeddings) == 2 - assert result.usage.total_tokens > 0 - - -def test_get_num_tokens(): - model = ZhipuAITextEmbeddingModel() - - num_tokens = model.get_num_tokens( - model="text_embedding", credentials={"api_key": os.environ.get("ZHIPUAI_API_KEY")}, texts=["hello", "world"] - ) - - assert num_tokens == 2 diff --git a/api/tests/integration_tests/plugin/__mock/http.py b/api/tests/integration_tests/plugin/__mock/http.py new file mode 100644 index 00000000000000..25177274c6c049 --- /dev/null +++ b/api/tests/integration_tests/plugin/__mock/http.py @@ -0,0 +1,66 @@ +import os +from typing import Literal + +import pytest +import requests +from _pytest.monkeypatch import MonkeyPatch + +from core.plugin.entities.plugin_daemon import PluginDaemonBasicResponse +from core.tools.entities.common_entities import I18nObject +from core.tools.entities.tool_entities import ToolProviderEntity, ToolProviderIdentity + + +class MockedHttp: + @classmethod + def list_tools(cls) -> list[ToolProviderEntity]: + return [ + ToolProviderEntity( + identity=ToolProviderIdentity( + author="Yeuoly", + name="Yeuoly", + description=I18nObject(en_US="Yeuoly"), + icon="ssss.svg", + label=I18nObject(en_US="Yeuoly"), + ) + ) + ] + + @classmethod + def requests_request( + cls, method: Literal["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD"], url: str, **kwargs + ) -> requests.Response: + """ + Mocked requests.request + """ + request = requests.PreparedRequest() + request.method = method + request.url = url + if url.endswith("/tools"): + content = PluginDaemonBasicResponse[list[ToolProviderEntity]]( + code=0, message="success", data=cls.list_tools() + ).model_dump_json() + else: + raise ValueError("") + + response = requests.Response() + response.status_code = 200 + response.request = request + response._content = content.encode("utf-8") + return response + + +MOCK_SWITCH = os.getenv("MOCK_SWITCH", "false").lower() == "true" + + +@pytest.fixture +def setup_http_mock(request, monkeypatch: MonkeyPatch): + if MOCK_SWITCH: + monkeypatch.setattr(requests, "request", MockedHttp.requests_request) + + def unpatch(): + monkeypatch.undo() + + yield + + if MOCK_SWITCH: + unpatch() diff --git a/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py b/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py new file mode 100644 index 00000000000000..c6d836ed6dd965 --- /dev/null +++ b/api/tests/integration_tests/plugin/tools/test_fetch_all_tools.py @@ -0,0 +1,8 @@ +from core.plugin.manager.tool import PluginToolManager +from tests.integration_tests.plugin.__mock.http import setup_http_mock + + +def test_fetch_all_plugin_tools(setup_http_mock): + manager = PluginToolManager() + tools = manager.fetch_tool_providers(tenant_id="test-tenant") + assert len(tools) >= 1 diff --git a/api/tests/integration_tests/tools/api_tool/test_api_tool.py b/api/tests/integration_tests/tools/api_tool/test_api_tool.py index 1bd75b91f745d6..9acc94e1108778 100644 --- a/api/tests/integration_tests/tools/api_tool/test_api_tool.py +++ b/api/tests/integration_tests/tools/api_tool/test_api_tool.py @@ -1,5 +1,8 @@ -from core.tools.tool.api_tool import ApiTool -from core.tools.tool.tool import Tool +from core.tools.__base.tool_runtime import ToolRuntime +from core.tools.custom_tool.tool import ApiTool +from core.tools.entities.common_entities import I18nObject +from core.tools.entities.tool_bundle import ApiToolBundle +from core.tools.entities.tool_entities import ToolEntity, ToolIdentity from tests.integration_tests.tools.__mock.http import setup_http_mock tool_bundle = { @@ -29,7 +32,13 @@ def test_api_tool(setup_http_mock): - tool = ApiTool(api_bundle=tool_bundle, runtime=Tool.Runtime(credentials={"auth_type": "none"})) + tool = ApiTool( + entity=ToolEntity( + identity=ToolIdentity(provider="", author="", name="", label=I18nObject()), + ), + api_bundle=ApiToolBundle(**tool_bundle), + runtime=ToolRuntime(tenant_id="", credentials={"auth_type": "none"}), + ) headers = tool.assembling_request(parameters) response = tool.do_http_request(tool.api_bundle.server_url, tool.api_bundle.method, headers, parameters) diff --git a/api/tests/integration_tests/tools/test_all_provider.py b/api/tests/integration_tests/tools/test_all_provider.py deleted file mode 100644 index 2dfce749b3e16f..00000000000000 --- a/api/tests/integration_tests/tools/test_all_provider.py +++ /dev/null @@ -1,23 +0,0 @@ -import pytest - -from core.tools.tool_manager import ToolManager - -provider_generator = ToolManager.list_builtin_providers() -provider_names = [provider.identity.name for provider in provider_generator] -ToolManager.clear_builtin_providers_cache() -provider_generator = ToolManager.list_builtin_providers() - - -@pytest.mark.parametrize("name", provider_names) -def test_tool_providers(benchmark, name): - """ - Test that all tool providers can be loaded - """ - - def test(generator): - try: - return next(generator) - except StopIteration: - return None - - benchmark.pedantic(test, args=(provider_generator,), iterations=1, rounds=1) diff --git a/api/tests/integration_tests/workflow/nodes/__mock/model.py b/api/tests/integration_tests/workflow/nodes/__mock/model.py new file mode 100644 index 00000000000000..7c48d84d69ee1f --- /dev/null +++ b/api/tests/integration_tests/workflow/nodes/__mock/model.py @@ -0,0 +1,50 @@ +from unittest.mock import MagicMock + +from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity +from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle +from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration +from core.model_manager import ModelInstance +from core.model_runtime.entities.model_entities import ModelType +from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory +from models.provider import ProviderType + + +def get_mocked_fetch_model_config( + provider: str, + model: str, + mode: str, + credentials: dict, +): + model_provider_factory = ModelProviderFactory(tenant_id="test_tenant") + model_type_instance = model_provider_factory.get_model_type_instance(provider, ModelType.LLM) + provider_model_bundle = ProviderModelBundle( + configuration=ProviderConfiguration( + tenant_id="1", + provider=model_provider_factory.get_provider_schema(provider), + preferred_provider_type=ProviderType.CUSTOM, + using_provider_type=ProviderType.CUSTOM, + system_configuration=SystemConfiguration(enabled=False), + custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)), + model_settings=[], + ), + model_type_instance=model_type_instance, + ) + model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model=model) + model_schema = model_provider_factory.get_model_schema( + provider=provider, + model_type=model_type_instance.model_type, + model=model, + credentials=credentials, + ) + assert model_schema is not None + model_config = ModelConfigWithCredentialsEntity( + model=model, + provider=provider, + mode=mode, + credentials=credentials, + parameters={}, + model_schema=model_schema, + provider_model_bundle=provider_model_bundle, + ) + + return MagicMock(return_value=(model_instance, model_config)) diff --git a/api/tests/integration_tests/workflow/nodes/test_llm.py b/api/tests/integration_tests/workflow/nodes/test_llm.py index 9a23949b38939e..22354df196e12f 100644 --- a/api/tests/integration_tests/workflow/nodes/test_llm.py +++ b/api/tests/integration_tests/workflow/nodes/test_llm.py @@ -7,12 +7,7 @@ import pytest -from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity -from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle -from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration -from core.model_manager import ModelInstance -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.model_providers import ModelProviderFactory +from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.variable_pool import VariablePool from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph @@ -22,11 +17,11 @@ from core.workflow.nodes.llm.node import LLMNode from extensions.ext_database import db from models.enums import UserFrom -from models.provider import ProviderType from models.workflow import WorkflowNodeExecutionStatus, WorkflowType +from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config """FOR MOCK FIXTURES, DO NOT REMOVE""" -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock +from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock from tests.integration_tests.workflow.nodes.__mock.code_executor import setup_code_executor_mock @@ -81,15 +76,19 @@ def init_llm_node(config: dict) -> LLMNode: return node -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_execute_llm(setup_openai_mock): +def test_execute_llm(setup_model_mock): node = init_llm_node( config={ "id": "llm", "data": { "title": "123", "type": "llm", - "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo", + "mode": "chat", + "completion_params": {}, + }, "prompt_template": [ {"role": "system", "text": "you are a helpful assistant.\ntoday's weather is {{#abc.output#}}."}, {"role": "user", "text": "{{#sys.query#}}"}, @@ -103,39 +102,16 @@ def test_execute_llm(setup_openai_mock): credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} - provider_instance = ModelProviderFactory().get_provider_instance("openai") - model_type_instance = provider_instance.get_model_instance(ModelType.LLM) - provider_model_bundle = ProviderModelBundle( - configuration=ProviderConfiguration( - tenant_id="1", - provider=provider_instance.get_provider_schema(), - preferred_provider_type=ProviderType.CUSTOM, - using_provider_type=ProviderType.CUSTOM, - system_configuration=SystemConfiguration(enabled=False), - custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)), - model_settings=[], - ), - provider_instance=provider_instance, - model_type_instance=model_type_instance, - ) - model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo") - model_schema = model_type_instance.get_model_schema("gpt-3.5-turbo") - assert model_schema is not None - model_config = ModelConfigWithCredentialsEntity( + # Mock db.session.close() + db.session.close = MagicMock() + + node._fetch_model_config = get_mocked_fetch_model_config( + provider="langgenius/openai/openai", model="gpt-3.5-turbo", - provider="openai", mode="chat", credentials=credentials, - parameters={}, - model_schema=model_schema, - provider_model_bundle=provider_model_bundle, ) - # Mock db.session.close() - db.session.close = MagicMock() - - node._fetch_model_config = MagicMock(return_value=(model_instance, model_config)) - # execute node result = node._run() assert isinstance(result, Generator) @@ -150,8 +126,7 @@ def test_execute_llm(setup_openai_mock): @pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True) -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock): +def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_model_mock): """ Test execute LLM node with jinja2 """ @@ -191,40 +166,16 @@ def test_execute_llm_with_jinja2(setup_code_executor_mock, setup_openai_mock): credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")} - provider_instance = ModelProviderFactory().get_provider_instance("openai") - model_type_instance = provider_instance.get_model_instance(ModelType.LLM) - provider_model_bundle = ProviderModelBundle( - configuration=ProviderConfiguration( - tenant_id="1", - provider=provider_instance.get_provider_schema(), - preferred_provider_type=ProviderType.CUSTOM, - using_provider_type=ProviderType.CUSTOM, - system_configuration=SystemConfiguration(enabled=False), - custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)), - model_settings=[], - ), - provider_instance=provider_instance, - model_type_instance=model_type_instance, - ) + # Mock db.session.close() + db.session.close = MagicMock() - model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model="gpt-3.5-turbo") - model_schema = model_type_instance.get_model_schema("gpt-3.5-turbo") - assert model_schema is not None - model_config = ModelConfigWithCredentialsEntity( + node._fetch_model_config = get_mocked_fetch_model_config( + provider="langgenius/openai/openai", model="gpt-3.5-turbo", - provider="openai", mode="chat", credentials=credentials, - parameters={}, - model_schema=model_schema, - provider_model_bundle=provider_model_bundle, ) - # Mock db.session.close() - db.session.close = MagicMock() - - node._fetch_model_config = MagicMock(return_value=(model_instance, model_config)) - # execute node result = node._run() diff --git a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py index 42a058d29bae8d..ca055f5cc5f49d 100644 --- a/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py +++ b/api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py @@ -4,14 +4,7 @@ from typing import Optional from unittest.mock import MagicMock -import pytest - -from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity -from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle -from core.entities.provider_entities import CustomConfiguration, CustomProviderConfiguration, SystemConfiguration -from core.model_manager import ModelInstance -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory +from core.app.entities.app_invoke_entities import InvokeFrom from core.workflow.entities.variable_pool import VariablePool from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph @@ -20,49 +13,11 @@ from core.workflow.nodes.parameter_extractor.parameter_extractor_node import ParameterExtractorNode from extensions.ext_database import db from models.enums import UserFrom -from models.provider import ProviderType +from tests.integration_tests.workflow.nodes.__mock.model import get_mocked_fetch_model_config """FOR MOCK FIXTURES, DO NOT REMOVE""" from models.workflow import WorkflowNodeExecutionStatus, WorkflowType -from tests.integration_tests.model_runtime.__mock.anthropic import setup_anthropic_mock -from tests.integration_tests.model_runtime.__mock.openai import setup_openai_mock - - -def get_mocked_fetch_model_config( - provider: str, - model: str, - mode: str, - credentials: dict, -): - provider_instance = ModelProviderFactory().get_provider_instance(provider) - model_type_instance = provider_instance.get_model_instance(ModelType.LLM) - provider_model_bundle = ProviderModelBundle( - configuration=ProviderConfiguration( - tenant_id="1", - provider=provider_instance.get_provider_schema(), - preferred_provider_type=ProviderType.CUSTOM, - using_provider_type=ProviderType.CUSTOM, - system_configuration=SystemConfiguration(enabled=False), - custom_configuration=CustomConfiguration(provider=CustomProviderConfiguration(credentials=credentials)), - model_settings=[], - ), - provider_instance=provider_instance, - model_type_instance=model_type_instance, - ) - model_instance = ModelInstance(provider_model_bundle=provider_model_bundle, model=model) - model_schema = model_type_instance.get_model_schema(model) - assert model_schema is not None - model_config = ModelConfigWithCredentialsEntity( - model=model, - provider=provider, - mode=mode, - credentials=credentials, - parameters={}, - model_schema=model_schema, - provider_model_bundle=provider_model_bundle, - ) - - return MagicMock(return_value=(model_instance, model_config)) +from tests.integration_tests.model_runtime.__mock.plugin_daemon import setup_model_mock def get_mocked_fetch_memory(memory_text: str): @@ -129,8 +84,7 @@ def init_parameter_extractor_node(config: dict): ) -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_function_calling_parameter_extractor(setup_openai_mock): +def test_function_calling_parameter_extractor(setup_model_mock): """ Test function calling for parameter extractor. """ @@ -140,7 +94,12 @@ def test_function_calling_parameter_extractor(setup_openai_mock): "data": { "title": "123", "type": "parameter-extractor", - "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo", + "mode": "chat", + "completion_params": {}, + }, "query": ["sys", "query"], "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], "instruction": "", @@ -151,25 +110,13 @@ def test_function_calling_parameter_extractor(setup_openai_mock): ) node._fetch_model_config = get_mocked_fetch_model_config( - provider="openai", + provider="langgenius/openai/openai", model="gpt-3.5-turbo", mode="chat", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, ) db.session.close = MagicMock() - # construct variable pool - pool = VariablePool( - system_variables={ - SystemVariableKey.QUERY: "what's the weather in SF", - SystemVariableKey.FILES: [], - SystemVariableKey.CONVERSATION_ID: "abababa", - SystemVariableKey.USER_ID: "aaa", - }, - user_inputs={}, - environment_variables=[], - ) - result = node._run() assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED @@ -178,8 +125,7 @@ def test_function_calling_parameter_extractor(setup_openai_mock): assert result.outputs.get("__reason") == None -@pytest.mark.parametrize("setup_openai_mock", [["chat"]], indirect=True) -def test_instructions(setup_openai_mock): +def test_instructions(setup_model_mock): """ Test chat parameter extractor. """ @@ -189,7 +135,12 @@ def test_instructions(setup_openai_mock): "data": { "title": "123", "type": "parameter-extractor", - "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo", + "mode": "chat", + "completion_params": {}, + }, "query": ["sys", "query"], "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], "reasoning_mode": "function_call", @@ -200,7 +151,7 @@ def test_instructions(setup_openai_mock): ) node._fetch_model_config = get_mocked_fetch_model_config( - provider="openai", + provider="langgenius/openai/openai", model="gpt-3.5-turbo", mode="chat", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, @@ -224,8 +175,7 @@ def test_instructions(setup_openai_mock): assert "what's the weather in SF" in prompt.get("text") -@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) -def test_chat_parameter_extractor(setup_anthropic_mock): +def test_chat_parameter_extractor(setup_model_mock): """ Test chat parameter extractor. """ @@ -235,7 +185,12 @@ def test_chat_parameter_extractor(setup_anthropic_mock): "data": { "title": "123", "type": "parameter-extractor", - "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}}, + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo", + "mode": "chat", + "completion_params": {}, + }, "query": ["sys", "query"], "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], "reasoning_mode": "prompt", @@ -246,10 +201,10 @@ def test_chat_parameter_extractor(setup_anthropic_mock): ) node._fetch_model_config = get_mocked_fetch_model_config( - provider="anthropic", - model="claude-2", + provider="langgenius/openai/openai", + model="gpt-3.5-turbo", mode="chat", - credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, ) db.session.close = MagicMock() @@ -271,8 +226,7 @@ def test_chat_parameter_extractor(setup_anthropic_mock): assert '\n{"type": "object"' in prompt.get("text") -@pytest.mark.parametrize("setup_openai_mock", [["completion"]], indirect=True) -def test_completion_parameter_extractor(setup_openai_mock): +def test_completion_parameter_extractor(setup_model_mock): """ Test completion parameter extractor. """ @@ -283,7 +237,7 @@ def test_completion_parameter_extractor(setup_openai_mock): "title": "123", "type": "parameter-extractor", "model": { - "provider": "openai", + "provider": "langgenius/openai/openai", "name": "gpt-3.5-turbo-instruct", "mode": "completion", "completion_params": {}, @@ -298,7 +252,7 @@ def test_completion_parameter_extractor(setup_openai_mock): ) node._fetch_model_config = get_mocked_fetch_model_config( - provider="openai", + provider="langgenius/openai/openai", model="gpt-3.5-turbo-instruct", mode="completion", credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, @@ -331,7 +285,7 @@ def test_extract_json_response(): "title": "123", "type": "parameter-extractor", "model": { - "provider": "openai", + "provider": "langgenius/openai/openai", "name": "gpt-3.5-turbo-instruct", "mode": "completion", "completion_params": {}, @@ -357,8 +311,7 @@ def test_extract_json_response(): assert result["location"] == "kawaii" -@pytest.mark.parametrize("setup_anthropic_mock", [["none"]], indirect=True) -def test_chat_parameter_extractor_with_memory(setup_anthropic_mock): +def test_chat_parameter_extractor_with_memory(setup_model_mock): """ Test chat parameter extractor with memory. """ @@ -368,7 +321,12 @@ def test_chat_parameter_extractor_with_memory(setup_anthropic_mock): "data": { "title": "123", "type": "parameter-extractor", - "model": {"provider": "anthropic", "name": "claude-2", "mode": "chat", "completion_params": {}}, + "model": { + "provider": "langgenius/openai/openai", + "name": "gpt-3.5-turbo", + "mode": "chat", + "completion_params": {}, + }, "query": ["sys", "query"], "parameters": [{"name": "location", "type": "string", "description": "location", "required": True}], "reasoning_mode": "prompt", @@ -379,10 +337,10 @@ def test_chat_parameter_extractor_with_memory(setup_anthropic_mock): ) node._fetch_model_config = get_mocked_fetch_model_config( - provider="anthropic", - model="claude-2", + provider="langgenius/openai/openai", + model="gpt-3.5-turbo", mode="chat", - credentials={"anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY")}, + credentials={"openai_api_key": os.environ.get("OPENAI_API_KEY")}, ) node._fetch_memory = get_mocked_fetch_memory("customized memory") db.session.close = MagicMock() diff --git a/api/tests/integration_tests/workflow/nodes/test_tool.py b/api/tests/integration_tests/workflow/nodes/test_tool.py index 4068e796b787ef..5a569a5983558e 100644 --- a/api/tests/integration_tests/workflow/nodes/test_tool.py +++ b/api/tests/integration_tests/workflow/nodes/test_tool.py @@ -1,13 +1,15 @@ import time import uuid +from unittest.mock import MagicMock from core.app.entities.app_invoke_entities import InvokeFrom -from core.workflow.entities.node_entities import NodeRunResult +from core.tools.utils.configuration import ToolParameterConfigurationManager from core.workflow.entities.variable_pool import VariablePool from core.workflow.enums import SystemVariableKey from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState +from core.workflow.nodes.event.event import RunCompletedEvent from core.workflow.nodes.tool.tool_node import ToolNode from models.enums import UserFrom from models.workflow import WorkflowNodeExecutionStatus, WorkflowType @@ -63,31 +65,28 @@ def test_tool_variable_invoke(): "data": { "title": "a", "desc": "a", - "provider_id": "maths", + "provider_id": "time", "provider_type": "builtin", - "provider_name": "maths", - "tool_name": "eval_expression", - "tool_label": "eval_expression", + "provider_name": "time", + "tool_name": "current_time", + "tool_label": "current_time", "tool_configurations": {}, - "tool_parameters": { - "expression": { - "type": "variable", - "value": ["1", "123", "args1"], - } - }, + "tool_parameters": {}, }, } ) + ToolParameterConfigurationManager.decrypt_tool_parameters = MagicMock(return_value={"format": "%Y-%m-%d %H:%M:%S"}) + node.graph_runtime_state.variable_pool.add(["1", "123", "args1"], "1+1") # execute node result = node._run() - assert isinstance(result, NodeRunResult) - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs is not None - assert "2" in result.outputs["text"] - assert result.outputs["files"] == [] + for item in result: + if isinstance(item, RunCompletedEvent): + assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED + assert item.run_result.outputs is not None + assert item.run_result.outputs.get("text") is not None def test_tool_mixed_invoke(): @@ -97,28 +96,25 @@ def test_tool_mixed_invoke(): "data": { "title": "a", "desc": "a", - "provider_id": "maths", + "provider_id": "time", "provider_type": "builtin", - "provider_name": "maths", - "tool_name": "eval_expression", - "tool_label": "eval_expression", - "tool_configurations": {}, - "tool_parameters": { - "expression": { - "type": "mixed", - "value": "{{#1.args1#}}", - } + "provider_name": "time", + "tool_name": "current_time", + "tool_label": "current_time", + "tool_configurations": { + "format": "%Y-%m-%d %H:%M:%S", }, + "tool_parameters": {}, }, } ) - node.graph_runtime_state.variable_pool.add(["1", "args1"], "1+1") + ToolParameterConfigurationManager.decrypt_tool_parameters = MagicMock(return_value={"format": "%Y-%m-%d %H:%M:%S"}) # execute node result = node._run() - assert isinstance(result, NodeRunResult) - assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED - assert result.outputs is not None - assert "2" in result.outputs["text"] - assert result.outputs["files"] == [] + for item in result: + if isinstance(item, RunCompletedEvent): + assert item.run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED + assert item.run_result.outputs is not None + assert item.run_result.outputs.get("text") is not None diff --git a/api/tests/unit_tests/core/helper/test_marketplace.py b/api/tests/unit_tests/core/helper/test_marketplace.py new file mode 100644 index 00000000000000..6ccce7ac9ff73c --- /dev/null +++ b/api/tests/unit_tests/core/helper/test_marketplace.py @@ -0,0 +1,7 @@ +from core.helper.marketplace import download_plugin_pkg + + +def test_download_plugin_pkg(): + pkg = download_plugin_pkg("langgenius/bing:0.0.1@e58735424d2104f208c2bd683c5142e0332045b425927067acf432b26f3d970b") + assert pkg is not None + assert len(pkg) > 0 diff --git a/api/tests/unit_tests/core/model_runtime/model_providers/__init__.py b/api/tests/unit_tests/core/model_runtime/model_providers/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/__init__.py b/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py b/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py deleted file mode 100644 index a301f56d75c506..00000000000000 --- a/api/tests/unit_tests/core/model_runtime/model_providers/wenxin/test_text_embedding.py +++ /dev/null @@ -1,77 +0,0 @@ -import string - -import numpy as np - -from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult -from core.model_runtime.model_providers.__base.tokenizers.gpt2_tokenzier import GPT2Tokenizer -from core.model_runtime.model_providers.wenxin.text_embedding.text_embedding import ( - TextEmbedding, - WenxinTextEmbeddingModel, -) - - -def test_max_chunks(): - class _MockTextEmbedding(TextEmbedding): - def embed_documents(self, model: str, texts: list[str], user: str) -> (list[list[float]], int, int): - embeddings = [[1.0, 2.0, 3.0] for i in range(len(texts))] - tokens = 0 - for text in texts: - tokens += len(text) - - return embeddings, tokens, tokens - - def _create_text_embedding(api_key: str, secret_key: str) -> TextEmbedding: - return _MockTextEmbedding() - - model = "embedding-v1" - credentials = { - "api_key": "xxxx", - "secret_key": "yyyy", - } - embedding_model = WenxinTextEmbeddingModel() - context_size = embedding_model._get_context_size(model, credentials) - max_chunks = embedding_model._get_max_chunks(model, credentials) - embedding_model._create_text_embedding = _create_text_embedding - - texts = [string.digits for i in range(0, max_chunks * 2)] - result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, "test") - assert len(result.embeddings) == max_chunks * 2 - - -def test_context_size(): - def get_num_tokens_by_gpt2(text: str) -> int: - return GPT2Tokenizer.get_num_tokens(text) - - def mock_text(token_size: int) -> str: - _text = "".join(["0" for i in range(token_size)]) - num_tokens = get_num_tokens_by_gpt2(_text) - ratio = int(np.floor(len(_text) / num_tokens)) - m_text = "".join([_text for i in range(ratio)]) - return m_text - - model = "embedding-v1" - credentials = { - "api_key": "xxxx", - "secret_key": "yyyy", - } - embedding_model = WenxinTextEmbeddingModel() - context_size = embedding_model._get_context_size(model, credentials) - - class _MockTextEmbedding(TextEmbedding): - def embed_documents(self, model: str, texts: list[str], user: str) -> (list[list[float]], int, int): - embeddings = [[1.0, 2.0, 3.0] for i in range(len(texts))] - tokens = 0 - for text in texts: - tokens += get_num_tokens_by_gpt2(text) - return embeddings, tokens, tokens - - def _create_text_embedding(api_key: str, secret_key: str) -> TextEmbedding: - return _MockTextEmbedding() - - embedding_model._create_text_embedding = _create_text_embedding - text = mock_text(context_size * 2) - assert get_num_tokens_by_gpt2(text) == context_size * 2 - - texts = [text] - result: TextEmbeddingResult = embedding_model.invoke(model, credentials, texts, "test") - assert result.usage.tokens == context_size diff --git a/api/tests/unit_tests/core/prompt/test_prompt_transform.py b/api/tests/unit_tests/core/prompt/test_prompt_transform.py index 89c14463bbfb94..16896a0c6c0f13 100644 --- a/api/tests/unit_tests/core/prompt/test_prompt_transform.py +++ b/api/tests/unit_tests/core/prompt/test_prompt_transform.py @@ -1,52 +1,52 @@ -from unittest.mock import MagicMock - -from core.app.app_config.entities import ModelConfigEntity -from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle -from core.model_runtime.entities.message_entities import UserPromptMessage -from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule -from core.model_runtime.entities.provider_entities import ProviderEntity -from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel -from core.prompt.prompt_transform import PromptTransform - - -def test__calculate_rest_token(): - model_schema_mock = MagicMock(spec=AIModelEntity) - parameter_rule_mock = MagicMock(spec=ParameterRule) - parameter_rule_mock.name = "max_tokens" - model_schema_mock.parameter_rules = [parameter_rule_mock] - model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62} - - large_language_model_mock = MagicMock(spec=LargeLanguageModel) - large_language_model_mock.get_num_tokens.return_value = 6 - - provider_mock = MagicMock(spec=ProviderEntity) - provider_mock.provider = "openai" - - provider_configuration_mock = MagicMock(spec=ProviderConfiguration) - provider_configuration_mock.provider = provider_mock - provider_configuration_mock.model_settings = None - - provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle) - provider_model_bundle_mock.model_type_instance = large_language_model_mock - provider_model_bundle_mock.configuration = provider_configuration_mock - - model_config_mock = MagicMock(spec=ModelConfigEntity) - model_config_mock.model = "gpt-4" - model_config_mock.credentials = {} - model_config_mock.parameters = {"max_tokens": 50} - model_config_mock.model_schema = model_schema_mock - model_config_mock.provider_model_bundle = provider_model_bundle_mock - - prompt_transform = PromptTransform() - - prompt_messages = [UserPromptMessage(content="Hello, how are you?")] - rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock) - - # Validate based on the mock configuration and expected logic - expected_rest_tokens = ( - model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE] - - model_config_mock.parameters["max_tokens"] - - large_language_model_mock.get_num_tokens.return_value - ) - assert rest_tokens == expected_rest_tokens - assert rest_tokens == 6 +# from unittest.mock import MagicMock + +# from core.app.app_config.entities import ModelConfigEntity +# from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle +# from core.model_runtime.entities.message_entities import UserPromptMessage +# from core.model_runtime.entities.model_entities import AIModelEntity, ModelPropertyKey, ParameterRule +# from core.model_runtime.entities.provider_entities import ProviderEntity +# from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel +# from core.prompt.prompt_transform import PromptTransform + + +# def test__calculate_rest_token(): +# model_schema_mock = MagicMock(spec=AIModelEntity) +# parameter_rule_mock = MagicMock(spec=ParameterRule) +# parameter_rule_mock.name = "max_tokens" +# model_schema_mock.parameter_rules = [parameter_rule_mock] +# model_schema_mock.model_properties = {ModelPropertyKey.CONTEXT_SIZE: 62} + +# large_language_model_mock = MagicMock(spec=LargeLanguageModel) +# large_language_model_mock.get_num_tokens.return_value = 6 + +# provider_mock = MagicMock(spec=ProviderEntity) +# provider_mock.provider = "openai" + +# provider_configuration_mock = MagicMock(spec=ProviderConfiguration) +# provider_configuration_mock.provider = provider_mock +# provider_configuration_mock.model_settings = None + +# provider_model_bundle_mock = MagicMock(spec=ProviderModelBundle) +# provider_model_bundle_mock.model_type_instance = large_language_model_mock +# provider_model_bundle_mock.configuration = provider_configuration_mock + +# model_config_mock = MagicMock(spec=ModelConfigEntity) +# model_config_mock.model = "gpt-4" +# model_config_mock.credentials = {} +# model_config_mock.parameters = {"max_tokens": 50} +# model_config_mock.model_schema = model_schema_mock +# model_config_mock.provider_model_bundle = provider_model_bundle_mock + +# prompt_transform = PromptTransform() + +# prompt_messages = [UserPromptMessage(content="Hello, how are you?")] +# rest_tokens = prompt_transform._calculate_rest_token(prompt_messages, model_config_mock) + +# # Validate based on the mock configuration and expected logic +# expected_rest_tokens = ( +# model_schema_mock.model_properties[ModelPropertyKey.CONTEXT_SIZE] +# - model_config_mock.parameters["max_tokens"] +# - large_language_model_mock.get_num_tokens.return_value +# ) +# assert rest_tokens == expected_rest_tokens +# assert rest_tokens == 6 diff --git a/api/tests/unit_tests/core/test_provider_manager.py b/api/tests/unit_tests/core/test_provider_manager.py index 2f4214a5801de1..90d5a6f15b4e8e 100644 --- a/api/tests/unit_tests/core/test_provider_manager.py +++ b/api/tests/unit_tests/core/test_provider_manager.py @@ -1,183 +1,190 @@ -from core.entities.provider_entities import ModelSettings -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.model_providers import model_provider_factory -from core.provider_manager import ProviderManager -from models.provider import LoadBalancingModelConfig, ProviderModelSetting - - -def test__to_model_settings(mocker): - # Get all provider entities - provider_entities = model_provider_factory.get_providers() - - provider_entity = None - for provider in provider_entities: - if provider.provider == "openai": - provider_entity = provider - - # Mocking the inputs - provider_model_settings = [ - ProviderModelSetting( - id="id", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - enabled=True, - load_balancing_enabled=True, - ) - ] - load_balancing_model_configs = [ - LoadBalancingModelConfig( - id="id1", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - name="__inherit__", - encrypted_config=None, - enabled=True, - ), - LoadBalancingModelConfig( - id="id2", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - name="first", - encrypted_config='{"openai_api_key": "fake_key"}', - enabled=True, - ), - ] - - mocker.patch( - "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} - ) - - provider_manager = ProviderManager() - - # Running the method - result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs) - - # Asserting that the result is as expected - assert len(result) == 1 - assert isinstance(result[0], ModelSettings) - assert result[0].model == "gpt-4" - assert result[0].model_type == ModelType.LLM - assert result[0].enabled is True - assert len(result[0].load_balancing_configs) == 2 - assert result[0].load_balancing_configs[0].name == "__inherit__" - assert result[0].load_balancing_configs[1].name == "first" - - -def test__to_model_settings_only_one_lb(mocker): - # Get all provider entities - provider_entities = model_provider_factory.get_providers() - - provider_entity = None - for provider in provider_entities: - if provider.provider == "openai": - provider_entity = provider - - # Mocking the inputs - provider_model_settings = [ - ProviderModelSetting( - id="id", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - enabled=True, - load_balancing_enabled=True, - ) - ] - load_balancing_model_configs = [ - LoadBalancingModelConfig( - id="id1", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - name="__inherit__", - encrypted_config=None, - enabled=True, - ) - ] - - mocker.patch( - "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} - ) - - provider_manager = ProviderManager() - - # Running the method - result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs) - - # Asserting that the result is as expected - assert len(result) == 1 - assert isinstance(result[0], ModelSettings) - assert result[0].model == "gpt-4" - assert result[0].model_type == ModelType.LLM - assert result[0].enabled is True - assert len(result[0].load_balancing_configs) == 0 - - -def test__to_model_settings_lb_disabled(mocker): - # Get all provider entities - provider_entities = model_provider_factory.get_providers() - - provider_entity = None - for provider in provider_entities: - if provider.provider == "openai": - provider_entity = provider - - # Mocking the inputs - provider_model_settings = [ - ProviderModelSetting( - id="id", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - enabled=True, - load_balancing_enabled=False, - ) - ] - load_balancing_model_configs = [ - LoadBalancingModelConfig( - id="id1", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - name="__inherit__", - encrypted_config=None, - enabled=True, - ), - LoadBalancingModelConfig( - id="id2", - tenant_id="tenant_id", - provider_name="openai", - model_name="gpt-4", - model_type="text-generation", - name="first", - encrypted_config='{"openai_api_key": "fake_key"}', - enabled=True, - ), - ] - - mocker.patch( - "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} - ) - - provider_manager = ProviderManager() - - # Running the method - result = provider_manager._to_model_settings(provider_entity, provider_model_settings, load_balancing_model_configs) - - # Asserting that the result is as expected - assert len(result) == 1 - assert isinstance(result[0], ModelSettings) - assert result[0].model == "gpt-4" - assert result[0].model_type == ModelType.LLM - assert result[0].enabled is True - assert len(result[0].load_balancing_configs) == 0 +# from core.entities.provider_entities import ModelSettings +# from core.model_runtime.entities.model_entities import ModelType +# from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory +# from core.provider_manager import ProviderManager +# from models.provider import LoadBalancingModelConfig, ProviderModelSetting + + +# def test__to_model_settings(mocker): +# # Get all provider entities +# model_provider_factory = ModelProviderFactory("test_tenant") +# provider_entities = model_provider_factory.get_providers() + +# provider_entity = None +# for provider in provider_entities: +# if provider.provider == "openai": +# provider_entity = provider + +# # Mocking the inputs +# provider_model_settings = [ +# ProviderModelSetting( +# id="id", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# enabled=True, +# load_balancing_enabled=True, +# ) +# ] +# load_balancing_model_configs = [ +# LoadBalancingModelConfig( +# id="id1", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# name="__inherit__", +# encrypted_config=None, +# enabled=True, +# ), +# LoadBalancingModelConfig( +# id="id2", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# name="first", +# encrypted_config='{"openai_api_key": "fake_key"}', +# enabled=True, +# ), +# ] + +# mocker.patch( +# "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} +# ) + +# provider_manager = ProviderManager() + +# # Running the method +# result = provider_manager._to_model_settings(provider_entity, +# provider_model_settings, load_balancing_model_configs) + +# # Asserting that the result is as expected +# assert len(result) == 1 +# assert isinstance(result[0], ModelSettings) +# assert result[0].model == "gpt-4" +# assert result[0].model_type == ModelType.LLM +# assert result[0].enabled is True +# assert len(result[0].load_balancing_configs) == 2 +# assert result[0].load_balancing_configs[0].name == "__inherit__" +# assert result[0].load_balancing_configs[1].name == "first" + + +# def test__to_model_settings_only_one_lb(mocker): +# # Get all provider entities +# model_provider_factory = ModelProviderFactory("test_tenant") +# provider_entities = model_provider_factory.get_providers() + +# provider_entity = None +# for provider in provider_entities: +# if provider.provider == "openai": +# provider_entity = provider + +# # Mocking the inputs +# provider_model_settings = [ +# ProviderModelSetting( +# id="id", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# enabled=True, +# load_balancing_enabled=True, +# ) +# ] +# load_balancing_model_configs = [ +# LoadBalancingModelConfig( +# id="id1", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# name="__inherit__", +# encrypted_config=None, +# enabled=True, +# ) +# ] + +# mocker.patch( +# "core.helper.model_provider_cache.ProviderCredentialsCache.get", return_value={"openai_api_key": "fake_key"} +# ) + +# provider_manager = ProviderManager() + +# # Running the method +# result = provider_manager._to_model_settings( +# provider_entity, provider_model_settings, load_balancing_model_configs) + +# # Asserting that the result is as expected +# assert len(result) == 1 +# assert isinstance(result[0], ModelSettings) +# assert result[0].model == "gpt-4" +# assert result[0].model_type == ModelType.LLM +# assert result[0].enabled is True +# assert len(result[0].load_balancing_configs) == 0 + + +# def test__to_model_settings_lb_disabled(mocker): +# # Get all provider entities +# model_provider_factory = ModelProviderFactory("test_tenant") +# provider_entities = model_provider_factory.get_providers() + +# provider_entity = None +# for provider in provider_entities: +# if provider.provider == "openai": +# provider_entity = provider + +# # Mocking the inputs +# provider_model_settings = [ +# ProviderModelSetting( +# id="id", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# enabled=True, +# load_balancing_enabled=False, +# ) +# ] +# load_balancing_model_configs = [ +# LoadBalancingModelConfig( +# id="id1", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# name="__inherit__", +# encrypted_config=None, +# enabled=True, +# ), +# LoadBalancingModelConfig( +# id="id2", +# tenant_id="tenant_id", +# provider_name="openai", +# model_name="gpt-4", +# model_type="text-generation", +# name="first", +# encrypted_config='{"openai_api_key": "fake_key"}', +# enabled=True, +# ), +# ] + +# mocker.patch( +# "core.helper.model_provider_cache.ProviderCredentialsCache.get", +# return_value={"openai_api_key": "fake_key"} +# ) + +# provider_manager = ProviderManager() + +# # Running the method +# result = provider_manager._to_model_settings(provider_entity, +# provider_model_settings, load_balancing_model_configs) + +# # Asserting that the result is as expected +# assert len(result) == 1 +# assert isinstance(result[0], ModelSettings) +# assert result[0].model == "gpt-4" +# assert result[0].model_type == ModelType.LLM +# assert result[0].enabled is True +# assert len(result[0].load_balancing_configs) == 0 diff --git a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py index 74af5eb56b5038..5c3e5540c44c88 100644 --- a/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py +++ b/api/tests/unit_tests/core/workflow/nodes/llm/test_node.py @@ -3,24 +3,20 @@ import pytest -from configs import dify_config from core.app.entities.app_invoke_entities import InvokeFrom, ModelConfigWithCredentialsEntity from core.entities.provider_configuration import ProviderConfiguration, ProviderModelBundle from core.entities.provider_entities import CustomConfiguration, SystemConfiguration from core.file import File, FileTransferMethod, FileType from core.model_runtime.entities.common_entities import I18nObject from core.model_runtime.entities.message_entities import ( - AssistantPromptMessage, ImagePromptMessageContent, PromptMessage, PromptMessageRole, - SystemPromptMessage, TextPromptMessageContent, UserPromptMessage, ) -from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelFeature, ModelType +from core.model_runtime.entities.model_entities import AIModelEntity, FetchFrom, ModelType from core.model_runtime.model_providers.model_provider_factory import ModelProviderFactory -from core.prompt.entities.advanced_prompt_entities import MemoryConfig from core.variables import ArrayAnySegment, ArrayFileSegment, NoneSegment from core.workflow.entities.variable_pool import VariablePool from core.workflow.graph_engine import Graph, GraphInitParams, GraphRuntimeState @@ -38,7 +34,6 @@ from models.enums import UserFrom from models.provider import ProviderType from models.workflow import WorkflowType -from tests.unit_tests.core.workflow.nodes.llm.test_scenarios import LLMNodeTestScenario class MockTokenBufferMemory: @@ -112,22 +107,21 @@ def llm_node(): @pytest.fixture def model_config(): # Create actual provider and model type instances - model_provider_factory = ModelProviderFactory() - provider_instance = model_provider_factory.get_provider_instance("openai") - model_type_instance = provider_instance.get_model_instance(ModelType.LLM) + model_provider_factory = ModelProviderFactory(tenant_id="test") + provider_instance = model_provider_factory.get_plugin_model_provider("openai") + model_type_instance = model_provider_factory.get_model_type_instance("openai", ModelType.LLM) # Create a ProviderModelBundle provider_model_bundle = ProviderModelBundle( configuration=ProviderConfiguration( tenant_id="1", - provider=provider_instance.get_provider_schema(), + provider=provider_instance, preferred_provider_type=ProviderType.CUSTOM, using_provider_type=ProviderType.CUSTOM, system_configuration=SystemConfiguration(enabled=False), custom_configuration=CustomConfiguration(provider=None), model_settings=[], ), - provider_instance=provider_instance, model_type_instance=model_type_instance, ) @@ -211,236 +205,240 @@ def test_fetch_files_with_non_existent_variable(llm_node): assert result == [] -def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config): - prompt_template = [] - llm_node.node_data.prompt_template = prompt_template - - fake_vision_detail = faker.random_element( - [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW] - ) - fake_remote_url = faker.url() - files = [ - File( - id="1", - tenant_id="test", - type=FileType.IMAGE, - filename="test1.jpg", - transfer_method=FileTransferMethod.REMOTE_URL, - remote_url=fake_remote_url, - storage_key="", - ) - ] - - fake_query = faker.sentence() - - prompt_messages, _ = llm_node._fetch_prompt_messages( - sys_query=fake_query, - sys_files=files, - context=None, - memory=None, - model_config=model_config, - prompt_template=prompt_template, - memory_config=None, - vision_enabled=False, - vision_detail=fake_vision_detail, - variable_pool=llm_node.graph_runtime_state.variable_pool, - jinja2_variables=[], - ) - - assert prompt_messages == [UserPromptMessage(content=fake_query)] - - -def test_fetch_prompt_messages__basic(faker, llm_node, model_config): - # Setup dify config - dify_config.MULTIMODAL_SEND_FORMAT = "url" - - # Generate fake values for prompt template - fake_assistant_prompt = faker.sentence() - fake_query = faker.sentence() - fake_context = faker.sentence() - fake_window_size = faker.random_int(min=1, max=3) - fake_vision_detail = faker.random_element( - [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW] - ) - fake_remote_url = faker.url() - - # Setup mock memory with history messages - mock_history = [ - UserPromptMessage(content=faker.sentence()), - AssistantPromptMessage(content=faker.sentence()), - UserPromptMessage(content=faker.sentence()), - AssistantPromptMessage(content=faker.sentence()), - UserPromptMessage(content=faker.sentence()), - AssistantPromptMessage(content=faker.sentence()), - ] - - # Setup memory configuration - memory_config = MemoryConfig( - role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"), - window=MemoryConfig.WindowConfig(enabled=True, size=fake_window_size), - query_prompt_template=None, - ) - - memory = MockTokenBufferMemory(history_messages=mock_history) - - # Test scenarios covering different file input combinations - test_scenarios = [ - LLMNodeTestScenario( - description="No files", - sys_query=fake_query, - sys_files=[], - features=[], - vision_enabled=False, - vision_detail=None, - window_size=fake_window_size, - prompt_template=[ - LLMNodeChatModelMessage( - text=fake_context, - role=PromptMessageRole.SYSTEM, - edition_type="basic", - ), - LLMNodeChatModelMessage( - text="{#context#}", - role=PromptMessageRole.USER, - edition_type="basic", - ), - LLMNodeChatModelMessage( - text=fake_assistant_prompt, - role=PromptMessageRole.ASSISTANT, - edition_type="basic", - ), - ], - expected_messages=[ - SystemPromptMessage(content=fake_context), - UserPromptMessage(content=fake_context), - AssistantPromptMessage(content=fake_assistant_prompt), - ] - + mock_history[fake_window_size * -2 :] - + [ - UserPromptMessage(content=fake_query), - ], - ), - LLMNodeTestScenario( - description="User files", - sys_query=fake_query, - sys_files=[ - File( - tenant_id="test", - type=FileType.IMAGE, - filename="test1.jpg", - transfer_method=FileTransferMethod.REMOTE_URL, - remote_url=fake_remote_url, - extension=".jpg", - mime_type="image/jpg", - storage_key="", - ) - ], - vision_enabled=True, - vision_detail=fake_vision_detail, - features=[ModelFeature.VISION], - window_size=fake_window_size, - prompt_template=[ - LLMNodeChatModelMessage( - text=fake_context, - role=PromptMessageRole.SYSTEM, - edition_type="basic", - ), - LLMNodeChatModelMessage( - text="{#context#}", - role=PromptMessageRole.USER, - edition_type="basic", - ), - LLMNodeChatModelMessage( - text=fake_assistant_prompt, - role=PromptMessageRole.ASSISTANT, - edition_type="basic", - ), - ], - expected_messages=[ - SystemPromptMessage(content=fake_context), - UserPromptMessage(content=fake_context), - AssistantPromptMessage(content=fake_assistant_prompt), - ] - + mock_history[fake_window_size * -2 :] - + [ - UserPromptMessage( - content=[ - TextPromptMessageContent(data=fake_query), - ImagePromptMessageContent( - url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail - ), - ] - ), - ], - ), - LLMNodeTestScenario( - description="Prompt template with variable selector of File", - sys_query=fake_query, - sys_files=[], - vision_enabled=False, - vision_detail=fake_vision_detail, - features=[ModelFeature.VISION], - window_size=fake_window_size, - prompt_template=[ - LLMNodeChatModelMessage( - text="{{#input.image#}}", - role=PromptMessageRole.USER, - edition_type="basic", - ), - ], - expected_messages=[ - UserPromptMessage( - content=[ - ImagePromptMessageContent( - url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail - ), - ] - ), - ] - + mock_history[fake_window_size * -2 :] - + [UserPromptMessage(content=fake_query)], - file_variables={ - "input.image": File( - tenant_id="test", - type=FileType.IMAGE, - filename="test1.jpg", - transfer_method=FileTransferMethod.REMOTE_URL, - remote_url=fake_remote_url, - extension=".jpg", - mime_type="image/jpg", - storage_key="", - ) - }, - ), - ] - - for scenario in test_scenarios: - model_config.model_schema.features = scenario.features - - for k, v in scenario.file_variables.items(): - selector = k.split(".") - llm_node.graph_runtime_state.variable_pool.add(selector, v) - - # Call the method under test - prompt_messages, _ = llm_node._fetch_prompt_messages( - sys_query=scenario.sys_query, - sys_files=scenario.sys_files, - context=fake_context, - memory=memory, - model_config=model_config, - prompt_template=scenario.prompt_template, - memory_config=memory_config, - vision_enabled=scenario.vision_enabled, - vision_detail=scenario.vision_detail, - variable_pool=llm_node.graph_runtime_state.variable_pool, - jinja2_variables=[], - ) - - # Verify the result - assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}" - assert prompt_messages == scenario.expected_messages, ( - f"Message content mismatch in scenario: {scenario.description}" - ) +# def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config): +# TODO: Add test +# pass +# prompt_template = [] +# llm_node.node_data.prompt_template = prompt_template + +# fake_vision_detail = faker.random_element( +# [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW] +# ) +# fake_remote_url = faker.url() +# files = [ +# File( +# id="1", +# tenant_id="test", +# type=FileType.IMAGE, +# filename="test1.jpg", +# transfer_method=FileTransferMethod.REMOTE_URL, +# remote_url=fake_remote_url, +# storage_key="", +# ) +# ] + +# fake_query = faker.sentence() + +# prompt_messages, _ = llm_node._fetch_prompt_messages( +# sys_query=fake_query, +# sys_files=files, +# context=None, +# memory=None, +# model_config=model_config, +# prompt_template=prompt_template, +# memory_config=None, +# vision_enabled=False, +# vision_detail=fake_vision_detail, +# variable_pool=llm_node.graph_runtime_state.variable_pool, +# jinja2_variables=[], +# ) + +# assert prompt_messages == [UserPromptMessage(content=fake_query)] + + +# def test_fetch_prompt_messages__basic(faker, llm_node, model_config): +# TODO: Add test +# pass +# Setup dify config +# dify_config.MULTIMODAL_SEND_FORMAT = "url" + +# # Generate fake values for prompt template +# fake_assistant_prompt = faker.sentence() +# fake_query = faker.sentence() +# fake_context = faker.sentence() +# fake_window_size = faker.random_int(min=1, max=3) +# fake_vision_detail = faker.random_element( +# [ImagePromptMessageContent.DETAIL.HIGH, ImagePromptMessageContent.DETAIL.LOW] +# ) +# fake_remote_url = faker.url() + +# # Setup mock memory with history messages +# mock_history = [ +# UserPromptMessage(content=faker.sentence()), +# AssistantPromptMessage(content=faker.sentence()), +# UserPromptMessage(content=faker.sentence()), +# AssistantPromptMessage(content=faker.sentence()), +# UserPromptMessage(content=faker.sentence()), +# AssistantPromptMessage(content=faker.sentence()), +# ] + +# # Setup memory configuration +# memory_config = MemoryConfig( +# role_prefix=MemoryConfig.RolePrefix(user="Human", assistant="Assistant"), +# window=MemoryConfig.WindowConfig(enabled=True, size=fake_window_size), +# query_prompt_template=None, +# ) + +# memory = MockTokenBufferMemory(history_messages=mock_history) + +# # Test scenarios covering different file input combinations +# test_scenarios = [ +# LLMNodeTestScenario( +# description="No files", +# sys_query=fake_query, +# sys_files=[], +# features=[], +# vision_enabled=False, +# vision_detail=None, +# window_size=fake_window_size, +# prompt_template=[ +# LLMNodeChatModelMessage( +# text=fake_context, +# role=PromptMessageRole.SYSTEM, +# edition_type="basic", +# ), +# LLMNodeChatModelMessage( +# text="{#context#}", +# role=PromptMessageRole.USER, +# edition_type="basic", +# ), +# LLMNodeChatModelMessage( +# text=fake_assistant_prompt, +# role=PromptMessageRole.ASSISTANT, +# edition_type="basic", +# ), +# ], +# expected_messages=[ +# SystemPromptMessage(content=fake_context), +# UserPromptMessage(content=fake_context), +# AssistantPromptMessage(content=fake_assistant_prompt), +# ] +# + mock_history[fake_window_size * -2 :] +# + [ +# UserPromptMessage(content=fake_query), +# ], +# ), +# LLMNodeTestScenario( +# description="User files", +# sys_query=fake_query, +# sys_files=[ +# File( +# tenant_id="test", +# type=FileType.IMAGE, +# filename="test1.jpg", +# transfer_method=FileTransferMethod.REMOTE_URL, +# remote_url=fake_remote_url, +# extension=".jpg", +# mime_type="image/jpg", +# storage_key="", +# ) +# ], +# vision_enabled=True, +# vision_detail=fake_vision_detail, +# features=[ModelFeature.VISION], +# window_size=fake_window_size, +# prompt_template=[ +# LLMNodeChatModelMessage( +# text=fake_context, +# role=PromptMessageRole.SYSTEM, +# edition_type="basic", +# ), +# LLMNodeChatModelMessage( +# text="{#context#}", +# role=PromptMessageRole.USER, +# edition_type="basic", +# ), +# LLMNodeChatModelMessage( +# text=fake_assistant_prompt, +# role=PromptMessageRole.ASSISTANT, +# edition_type="basic", +# ), +# ], +# expected_messages=[ +# SystemPromptMessage(content=fake_context), +# UserPromptMessage(content=fake_context), +# AssistantPromptMessage(content=fake_assistant_prompt), +# ] +# + mock_history[fake_window_size * -2 :] +# + [ +# UserPromptMessage( +# content=[ +# TextPromptMessageContent(data=fake_query), +# ImagePromptMessageContent( +# url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail +# ), +# ] +# ), +# ], +# ), +# LLMNodeTestScenario( +# description="Prompt template with variable selector of File", +# sys_query=fake_query, +# sys_files=[], +# vision_enabled=False, +# vision_detail=fake_vision_detail, +# features=[ModelFeature.VISION], +# window_size=fake_window_size, +# prompt_template=[ +# LLMNodeChatModelMessage( +# text="{{#input.image#}}", +# role=PromptMessageRole.USER, +# edition_type="basic", +# ), +# ], +# expected_messages=[ +# UserPromptMessage( +# content=[ +# ImagePromptMessageContent( +# url=fake_remote_url, mime_type="image/jpg", format="jpg", detail=fake_vision_detail +# ), +# ] +# ), +# ] +# + mock_history[fake_window_size * -2 :] +# + [UserPromptMessage(content=fake_query)], +# file_variables={ +# "input.image": File( +# tenant_id="test", +# type=FileType.IMAGE, +# filename="test1.jpg", +# transfer_method=FileTransferMethod.REMOTE_URL, +# remote_url=fake_remote_url, +# extension=".jpg", +# mime_type="image/jpg", +# storage_key="", +# ) +# }, +# ), +# ] + +# for scenario in test_scenarios: +# model_config.model_schema.features = scenario.features + +# for k, v in scenario.file_variables.items(): +# selector = k.split(".") +# llm_node.graph_runtime_state.variable_pool.add(selector, v) + +# # Call the method under test +# prompt_messages, _ = llm_node._fetch_prompt_messages( +# sys_query=scenario.sys_query, +# sys_files=scenario.sys_files, +# context=fake_context, +# memory=memory, +# model_config=model_config, +# prompt_template=scenario.prompt_template, +# memory_config=memory_config, +# vision_enabled=scenario.vision_enabled, +# vision_detail=scenario.vision_detail, +# variable_pool=llm_node.graph_runtime_state.variable_pool, +# jinja2_variables=[], +# ) + +# # Verify the result +# assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}" +# assert prompt_messages == scenario.expected_messages, ( +# f"Message content mismatch in scenario: {scenario.description}" +# ) def test_handle_list_messages_basic(llm_node): diff --git a/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py b/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py index 2d74be9da9a96c..ed35d8a32acf33 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py +++ b/api/tests/unit_tests/core/workflow/nodes/test_continue_on_error.py @@ -126,7 +126,7 @@ def get_tool_node(error_strategy: str = "fail-branch", default_value: dict | Non }, } if default_value: - node["data"]["default_value"] = default_value + node.node_data.default_value = default_value return node @staticmethod @@ -331,55 +331,55 @@ def test_http_node_fail_branch_continue_on_error(): assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1 -def test_tool_node_default_value_continue_on_error(): - """Test tool node with default value error strategy""" - graph_config = { - "edges": DEFAULT_VALUE_EDGE, - "nodes": [ - {"data": {"title": "start", "type": "start", "variables": []}, "id": "start"}, - {"data": {"title": "answer", "type": "answer", "answer": "{{#node.result#}}"}, "id": "answer"}, - ContinueOnErrorTestHelper.get_tool_node( - "default-value", [{"key": "result", "type": "string", "value": "default tool result"}] - ), - ], - } - - graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config) - events = list(graph_engine.run()) - - assert any(isinstance(e, NodeRunExceptionEvent) for e in events) - assert any( - isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "default tool result"} for e in events - ) - assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1 - - -def test_tool_node_fail_branch_continue_on_error(): - """Test HTTP node with fail-branch error strategy""" - graph_config = { - "edges": FAIL_BRANCH_EDGES, - "nodes": [ - {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"}, - { - "data": {"title": "success", "type": "answer", "answer": "tool execute successful"}, - "id": "success", - }, - { - "data": {"title": "error", "type": "answer", "answer": "tool execute failed"}, - "id": "error", - }, - ContinueOnErrorTestHelper.get_tool_node(), - ], - } - - graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config) - events = list(graph_engine.run()) - - assert any(isinstance(e, NodeRunExceptionEvent) for e in events) - assert any( - isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "tool execute failed"} for e in events - ) - assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1 +# def test_tool_node_default_value_continue_on_error(): +# """Test tool node with default value error strategy""" +# graph_config = { +# "edges": DEFAULT_VALUE_EDGE, +# "nodes": [ +# {"data": {"title": "start", "type": "start", "variables": []}, "id": "start"}, +# {"data": {"title": "answer", "type": "answer", "answer": "{{#node.result#}}"}, "id": "answer"}, +# ContinueOnErrorTestHelper.get_tool_node( +# "default-value", [{"key": "result", "type": "string", "value": "default tool result"}] +# ), +# ], +# } + +# graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config) +# events = list(graph_engine.run()) + +# assert any(isinstance(e, NodeRunExceptionEvent) for e in events) +# assert any( +# isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "default tool result"} for e in events # noqa: E501 +# ) +# assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1 + + +# def test_tool_node_fail_branch_continue_on_error(): +# """Test HTTP node with fail-branch error strategy""" +# graph_config = { +# "edges": FAIL_BRANCH_EDGES, +# "nodes": [ +# {"data": {"title": "Start", "type": "start", "variables": []}, "id": "start"}, +# { +# "data": {"title": "success", "type": "answer", "answer": "tool execute successful"}, +# "id": "success", +# }, +# { +# "data": {"title": "error", "type": "answer", "answer": "tool execute failed"}, +# "id": "error", +# }, +# ContinueOnErrorTestHelper.get_tool_node(), +# ], +# } + +# graph_engine = ContinueOnErrorTestHelper.create_test_graph_engine(graph_config) +# events = list(graph_engine.run()) + +# assert any(isinstance(e, NodeRunExceptionEvent) for e in events) +# assert any( +# isinstance(e, GraphRunPartialSucceededEvent) and e.outputs == {"answer": "tool execute failed"} for e in events # noqa: E501 +# ) +# assert sum(1 for e in events if isinstance(e, NodeRunStreamChunkEvent)) == 1 def test_llm_node_default_value_continue_on_error(): diff --git a/dev/pytest/pytest_config_tests.py b/dev/pytest/pytest_config_tests.py index 08adc9ebe999b1..63d0cbaf3a84ad 100644 --- a/dev/pytest/pytest_config_tests.py +++ b/dev/pytest/pytest_config_tests.py @@ -10,6 +10,8 @@ "HTTP_REQUEST_MAX_CONNECT_TIMEOUT", "HTTP_REQUEST_MAX_READ_TIMEOUT", "HTTP_REQUEST_MAX_WRITE_TIMEOUT", + "INNER_API_KEY", + "INNER_API_KEY_FOR_PLUGIN", "KEYWORD_DATA_SOURCE_TYPE", "LOGIN_LOCKOUT_DURATION", "LOG_FORMAT", @@ -18,6 +20,10 @@ "OCI_ENDPOINT", "OCI_REGION", "OCI_SECRET_KEY", + "PLUGIN_DAEMON_KEY", + "PLUGIN_DAEMON_URL", + "PLUGIN_REMOTE_INSTALL_HOST", + "PLUGIN_REMOTE_INSTALL_PORT", "REDIS_DB", "RESEND_API_URL", "RESPECT_XFORWARD_HEADERS_ENABLED", @@ -40,6 +46,8 @@ "HTTP_REQUEST_MAX_CONNECT_TIMEOUT", "HTTP_REQUEST_MAX_READ_TIMEOUT", "HTTP_REQUEST_MAX_WRITE_TIMEOUT", + "INNER_API_KEY", + "INNER_API_KEY_FOR_PLUGIN", "KEYWORD_DATA_SOURCE_TYPE", "LOGIN_LOCKOUT_DURATION", "LOG_FORMAT", @@ -58,6 +66,10 @@ "PGVECTO_RS_PASSWORD", "PGVECTO_RS_PORT", "PGVECTO_RS_USER", + "PLUGIN_DAEMON_KEY", + "PLUGIN_DAEMON_URL", + "PLUGIN_REMOTE_INSTALL_HOST", + "PLUGIN_REMOTE_INSTALL_PORT", "RESPECT_XFORWARD_HEADERS_ENABLED", "SCARF_NO_ANALYTICS", "SSRF_DEFAULT_CONNECT_TIME_OUT", diff --git a/docker-legacy/docker-compose.chroma.yaml b/docker-legacy/docker-compose.chroma.yaml deleted file mode 100644 index 63354305deff40..00000000000000 --- a/docker-legacy/docker-compose.chroma.yaml +++ /dev/null @@ -1,13 +0,0 @@ -services: - # Chroma vector store. - chroma: - image: ghcr.io/chroma-core/chroma:0.5.20 - restart: always - volumes: - - ./volumes/chroma:/chroma/chroma - environment: - CHROMA_SERVER_AUTHN_CREDENTIALS: difyai123456 - CHROMA_SERVER_AUTHN_PROVIDER: chromadb.auth.token_authn.TokenAuthenticationServerProvider - IS_PERSISTENT: TRUE - ports: - - "8000:8000" diff --git a/docker-legacy/docker-compose.middleware.yaml b/docker-legacy/docker-compose.middleware.yaml deleted file mode 100644 index da54fe33fdd1a7..00000000000000 --- a/docker-legacy/docker-compose.middleware.yaml +++ /dev/null @@ -1,109 +0,0 @@ -version: '3' -services: - # The postgres database. - db: - image: postgres:15-alpine - restart: always - environment: - # The password for the default postgres user. - POSTGRES_PASSWORD: difyai123456 - # The name of the default postgres database. - POSTGRES_DB: dify - # postgres data directory - PGDATA: /var/lib/postgresql/data/pgdata - volumes: - - ./volumes/db/data:/var/lib/postgresql/data - ports: - - "5432:5432" - - # The redis cache. - redis: - image: redis:6-alpine - restart: always - volumes: - # Mount the redis data directory to the container. - - ./volumes/redis/data:/data - # Set the redis password when startup redis server. - command: redis-server --requirepass difyai123456 - ports: - - "6379:6379" - - # The Weaviate vector store. - weaviate: - image: semitechnologies/weaviate:1.19.0 - restart: always - volumes: - # Mount the Weaviate data directory to the container. - - ./volumes/weaviate:/var/lib/weaviate - environment: - # The Weaviate configurations - # You can refer to the [Weaviate](https://weaviate.io/developers/weaviate/config-refs/env-vars) documentation for more information. - QUERY_DEFAULTS_LIMIT: 25 - AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false' - PERSISTENCE_DATA_PATH: '/var/lib/weaviate' - DEFAULT_VECTORIZER_MODULE: 'none' - CLUSTER_HOSTNAME: 'node1' - AUTHENTICATION_APIKEY_ENABLED: 'true' - AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih' - AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai' - AUTHORIZATION_ADMINLIST_ENABLED: 'true' - AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai' - ports: - - "8080:8080" - - # The DifySandbox - sandbox: - image: langgenius/dify-sandbox:0.2.1 - restart: always - environment: - # The DifySandbox configurations - # Make sure you are changing this key for your deployment with a strong key. - # You can generate a strong key using `openssl rand -base64 42`. - API_KEY: dify-sandbox - GIN_MODE: 'release' - WORKER_TIMEOUT: 15 - ENABLE_NETWORK: 'true' - HTTP_PROXY: 'http://ssrf_proxy:3128' - HTTPS_PROXY: 'http://ssrf_proxy:3128' - SANDBOX_PORT: 8194 - volumes: - - ./volumes/sandbox/dependencies:/dependencies - networks: - - ssrf_proxy_network - - # ssrf_proxy server - # for more information, please refer to - # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed - ssrf_proxy: - image: ubuntu/squid:latest - restart: always - ports: - - "3128:3128" - - "8194:8194" - volumes: - # pls clearly modify the squid.conf file to fit your network environment. - - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf - networks: - - ssrf_proxy_network - - default - # Qdrant vector store. - # uncomment to use qdrant as vector store. - # (if uncommented, you need to comment out the weaviate service above, - # and set VECTOR_STORE to qdrant in the api & worker service.) - # qdrant: - # image: qdrant/qdrant:1.7.3 - # restart: always - # volumes: - # - ./volumes/qdrant:/qdrant/storage - # environment: - # QDRANT_API_KEY: 'difyai123456' - # ports: - # - "6333:6333" - # - "6334:6334" - - -networks: - # create a network between sandbox, api and ssrf_proxy, and can not access outside. - ssrf_proxy_network: - driver: bridge - internal: true diff --git a/docker-legacy/docker-compose.milvus.yaml b/docker-legacy/docker-compose.milvus.yaml deleted file mode 100644 index f4a7afa3a10101..00000000000000 --- a/docker-legacy/docker-compose.milvus.yaml +++ /dev/null @@ -1,64 +0,0 @@ -version: '3.5' - -services: - etcd: - container_name: milvus-etcd - image: quay.io/coreos/etcd:v3.5.5 - environment: - - ETCD_AUTO_COMPACTION_MODE=revision - - ETCD_AUTO_COMPACTION_RETENTION=1000 - - ETCD_QUOTA_BACKEND_BYTES=4294967296 - - ETCD_SNAPSHOT_COUNT=50000 - volumes: - - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/etcd:/etcd - command: etcd -advertise-client-urls=http://127.0.0.1:2379 -listen-client-urls http://0.0.0.0:2379 --data-dir /etcd - healthcheck: - test: ["CMD", "etcdctl", "endpoint", "health"] - interval: 30s - timeout: 20s - retries: 3 - - minio: - container_name: milvus-minio - image: minio/minio:RELEASE.2023-03-20T20-16-18Z - environment: - MINIO_ACCESS_KEY: minioadmin - MINIO_SECRET_KEY: minioadmin - ports: - - "9001:9001" - - "9000:9000" - volumes: - - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/minio:/minio_data - command: minio server /minio_data --console-address ":9001" - healthcheck: - test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"] - interval: 30s - timeout: 20s - retries: 3 - - milvus-standalone: - container_name: milvus-standalone - image: milvusdb/milvus:v2.4.6 - command: ["milvus", "run", "standalone"] - environment: - ETCD_ENDPOINTS: etcd:2379 - MINIO_ADDRESS: minio:9000 - common.security.authorizationEnabled: true - volumes: - - ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/milvus:/var/lib/milvus - healthcheck: - test: ["CMD", "curl", "-f", "http://localhost:9091/healthz"] - interval: 30s - start_period: 90s - timeout: 20s - retries: 3 - ports: - - "19530:19530" - - "9091:9091" - depends_on: - - "etcd" - - "minio" - -networks: - default: - name: milvus diff --git a/docker-legacy/docker-compose.opensearch.yml b/docker-legacy/docker-compose.opensearch.yml deleted file mode 100644 index ce7203318070aa..00000000000000 --- a/docker-legacy/docker-compose.opensearch.yml +++ /dev/null @@ -1,40 +0,0 @@ -services: - opensearch: # This is also the hostname of the container within the Docker network (i.e. https://opensearch/) - image: opensearchproject/opensearch:latest # Specifying the latest available image - modify if you want a specific version - container_name: opensearch - environment: - - discovery.type=single-node - - bootstrap.memory_lock=true # Disable JVM heap memory swapping - - "OPENSEARCH_JAVA_OPTS=-Xms512m -Xmx1024m" # Set min and max JVM heap sizes to at least 50% of system RAM - - OPENSEARCH_INITIAL_ADMIN_PASSWORD=Qazwsxedc!@#123 # Sets the demo admin user password when using demo configuration, required for OpenSearch 2.12 and later - ulimits: - memlock: - soft: -1 # Set memlock to unlimited (no soft or hard limit) - hard: -1 - nofile: - soft: 65536 # Maximum number of open files for the opensearch user - set to at least 65536 - hard: 65536 - volumes: - - ./volumes/opensearch/data:/usr/share/opensearch/data # Creates volume called opensearch-data1 and mounts it to the container - ports: - - 9200:9200 # REST API - - 9600:9600 # Performance Analyzer - networks: - - opensearch-net # All of the containers will join the same Docker bridge network - opensearch-dashboards: - image: opensearchproject/opensearch-dashboards:latest # Make sure the version of opensearch-dashboards matches the version of opensearch installed on other nodes - container_name: opensearch-dashboards - ports: - - 5601:5601 # Map host port 5601 to container port 5601 - expose: - - "5601" # Expose port 5601 for web access to OpenSearch Dashboards - environment: - OPENSEARCH_HOSTS: '["https://opensearch:9200"]' # Define the OpenSearch nodes that OpenSearch Dashboards will query - volumes: - - ./volumes/opensearch/opensearch_dashboards.yml:/usr/share/opensearch-dashboards/config/opensearch_dashboards.yml - networks: - - opensearch-net - -networks: - opensearch-net: - driver: bridge diff --git a/docker-legacy/docker-compose.oracle.yaml b/docker-legacy/docker-compose.oracle.yaml deleted file mode 100644 index a10d2556b33ad4..00000000000000 --- a/docker-legacy/docker-compose.oracle.yaml +++ /dev/null @@ -1,17 +0,0 @@ -services: - # oracle 23 ai vector store. - oracle: - image: container-registry.oracle.com/database/free:latest - restart: always - ports: - - 1521:1521 - volumes: - - type: volume - source: oradata_vector - target: /opt/oracle/oradata - - ./startupscripts:/opt/oracle/scripts/startup - environment: - - ORACLE_PWD=Dify123456 - - ORACLE_CHARACTERSET=AL32UTF8 -volumes: - oradata_vector: diff --git a/docker-legacy/docker-compose.pgvecto-rs.yaml b/docker-legacy/docker-compose.pgvecto-rs.yaml deleted file mode 100644 index e383b75a838dac..00000000000000 --- a/docker-legacy/docker-compose.pgvecto-rs.yaml +++ /dev/null @@ -1,23 +0,0 @@ -services: - # The pgvecto—rs database. - pgvecto-rs: - image: tensorchord/pgvecto-rs:pg16-v0.2.0 - restart: always - environment: - PGUSER: postgres - # The password for the default postgres user. - POSTGRES_PASSWORD: difyai123456 - # The name of the default postgres database. - POSTGRES_DB: dify - # postgres data directory - PGDATA: /var/lib/postgresql/data/pgdata - volumes: - - ./volumes/pgvectors/data:/var/lib/postgresql/data - # uncomment to expose db(postgresql) port to host - ports: - - "5431:5432" - healthcheck: - test: [ "CMD", "pg_isready" ] - interval: 1s - timeout: 3s - retries: 30 diff --git a/docker-legacy/docker-compose.pgvector.yaml b/docker-legacy/docker-compose.pgvector.yaml deleted file mode 100644 index fce1cf904381ec..00000000000000 --- a/docker-legacy/docker-compose.pgvector.yaml +++ /dev/null @@ -1,23 +0,0 @@ -services: - # Qdrant vector store. - pgvector: - image: pgvector/pgvector:pg16 - restart: always - environment: - PGUSER: postgres - # The password for the default postgres user. - POSTGRES_PASSWORD: difyai123456 - # The name of the default postgres database. - POSTGRES_DB: dify - # postgres data directory - PGDATA: /var/lib/postgresql/data/pgdata - volumes: - - ./volumes/pgvector/data:/var/lib/postgresql/data - # uncomment to expose db(postgresql) port to host - ports: - - "5433:5432" - healthcheck: - test: [ "CMD", "pg_isready" ] - 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Supported values are `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL` - LOG_LEVEL: INFO - # enable DEBUG mode to output more logs - # DEBUG : true - # A secret key that is used for securely signing the session cookie and encrypting sensitive information on the database. You can generate a strong key using `openssl rand -base64 42`. - SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U - # The base URL of console application web frontend, refers to the Console base URL of WEB service if console domain is - # different from api or web app domain. - # example: http://cloud.dify.ai - CONSOLE_WEB_URL: '' - # Password for admin user initialization. - # If left unset, admin user will not be prompted for a password when creating the initial admin account. - INIT_PASSWORD: '' - # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is - # different from api or web app domain. - # example: http://cloud.dify.ai - CONSOLE_API_URL: '' - # The URL prefix for Service API endpoints, refers to the base URL of the current API service if api domain is - # different from console domain. - # example: http://api.dify.ai - SERVICE_API_URL: '' - # The URL prefix for Web APP frontend, refers to the Web App base URL of WEB service if web app domain is different from - # console or api domain. - # example: http://udify.app - APP_WEB_URL: '' - # File preview or download Url prefix. - # used to display File preview or download Url to the front-end or as Multi-model inputs; - # Url is signed and has expiration time. - FILES_URL: '' - # File Access Time specifies a time interval in seconds for the file to be accessed. - # The default value is 300 seconds. - FILES_ACCESS_TIMEOUT: 300 - # The maximum number of active requests for the application, where 0 means unlimited, should be a non-negative integer. - APP_MAX_ACTIVE_REQUESTS: 0 - # When enabled, migrations will be executed prior to application startup and the application will start after the migrations have completed. - MIGRATION_ENABLED: 'true' - # The configurations of postgres database connection. - # It is consistent with the configuration in the 'db' service below. - DB_USERNAME: postgres - DB_PASSWORD: difyai123456 - DB_HOST: db - DB_PORT: 5432 - DB_DATABASE: dify - # The configurations of redis connection. - # It is consistent with the configuration in the 'redis' service below. - REDIS_HOST: redis - REDIS_PORT: 6379 - REDIS_USERNAME: '' - REDIS_PASSWORD: difyai123456 - REDIS_USE_SSL: 'false' - # use redis db 0 for redis cache - REDIS_DB: 0 - # The configurations of celery broker. - # Use redis as the broker, and redis db 1 for celery broker. - CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1 - # Specifies the allowed origins for cross-origin requests to the Web API, e.g. https://dify.app or * for all origins. - WEB_API_CORS_ALLOW_ORIGINS: '*' - # Specifies the allowed origins for cross-origin requests to the console API, e.g. https://cloud.dify.ai or * for all origins. - CONSOLE_CORS_ALLOW_ORIGINS: '*' - # CSRF Cookie settings - # Controls whether a cookie is sent with cross-site requests, - # providing some protection against cross-site request forgery attacks - # - # Default: `SameSite=Lax, Secure=false, HttpOnly=true` - # This default configuration supports same-origin requests using either HTTP or HTTPS, - # but does not support cross-origin requests. It is suitable for local debugging purposes. - # - # If you want to enable cross-origin support, - # you must use the HTTPS protocol and set the configuration to `SameSite=None, Secure=true, HttpOnly=true`. - # - # The type of storage to use for storing user files. Supported values are `local` and `s3` and `azure-blob` and `google-storage`, Default: `local` - STORAGE_TYPE: local - # The path to the local storage directory, the directory relative the root path of API service codes or absolute path. Default: `storage` or `/home/john/storage`. - # only available when STORAGE_TYPE is `local`. - STORAGE_LOCAL_PATH: storage - # The S3 storage configurations, only available when STORAGE_TYPE is `s3`. - S3_USE_AWS_MANAGED_IAM: 'false' - S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com' - S3_BUCKET_NAME: 'difyai' - S3_ACCESS_KEY: 'ak-difyai' - S3_SECRET_KEY: 'sk-difyai' - S3_REGION: 'us-east-1' - # The Azure Blob storage configurations, only available when STORAGE_TYPE is `azure-blob`. - AZURE_BLOB_ACCOUNT_NAME: 'difyai' - AZURE_BLOB_ACCOUNT_KEY: 'difyai' - AZURE_BLOB_CONTAINER_NAME: 'difyai-container' - AZURE_BLOB_ACCOUNT_URL: 'https://.blob.core.windows.net' - # The Google storage configurations, only available when STORAGE_TYPE is `google-storage`. - GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name' - # if you want to use Application Default Credentials, you can leave GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64 empty. - GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string' - # The Alibaba Cloud OSS configurations, only available when STORAGE_TYPE is `aliyun-oss` - ALIYUN_OSS_BUCKET_NAME: 'your-bucket-name' - ALIYUN_OSS_ACCESS_KEY: 'your-access-key' - ALIYUN_OSS_SECRET_KEY: 'your-secret-key' - ALIYUN_OSS_ENDPOINT: 'https://oss-ap-southeast-1-internal.aliyuncs.com' - ALIYUN_OSS_REGION: 'ap-southeast-1' - ALIYUN_OSS_AUTH_VERSION: 'v4' - # The Tencent COS storage configurations, only available when STORAGE_TYPE is `tencent-cos`. - TENCENT_COS_BUCKET_NAME: 'your-bucket-name' - TENCENT_COS_SECRET_KEY: 'your-secret-key' - TENCENT_COS_SECRET_ID: 'your-secret-id' - TENCENT_COS_REGION: 'your-region' - TENCENT_COS_SCHEME: 'your-scheme' - # The type of vector store to use. Supported values are `weaviate`, `qdrant`, `milvus`, `relyt`,`pgvector`, `chroma`, 'opensearch', 'tidb_vector'. - VECTOR_STORE: weaviate - # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`. - WEAVIATE_ENDPOINT: http://weaviate:8080 - # The Weaviate API key. - WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih - # The Qdrant endpoint URL. Only available when VECTOR_STORE is `qdrant`. - QDRANT_URL: http://qdrant:6333 - # The Qdrant API key. - QDRANT_API_KEY: difyai123456 - # The Qdrant client timeout setting. - QDRANT_CLIENT_TIMEOUT: 20 - # The Qdrant client enable gRPC mode. - QDRANT_GRPC_ENABLED: 'false' - # The Qdrant server gRPC mode PORT. - QDRANT_GRPC_PORT: 6334 - # Milvus configuration Only available when VECTOR_STORE is `milvus`. - # The milvus uri. - MILVUS_URI: http://127.0.0.1:19530 - # The milvus token. - MILVUS_TOKEN: '' - # The milvus username. - MILVUS_USER: root - # The milvus password. - MILVUS_PASSWORD: Milvus - # relyt configurations - RELYT_HOST: db - RELYT_PORT: 5432 - RELYT_USER: postgres - RELYT_PASSWORD: difyai123456 - RELYT_DATABASE: postgres - # pgvector configurations - PGVECTOR_HOST: pgvector - PGVECTOR_PORT: 5432 - PGVECTOR_USER: postgres - PGVECTOR_PASSWORD: difyai123456 - PGVECTOR_DATABASE: dify - # tidb vector configurations - TIDB_VECTOR_HOST: tidb - TIDB_VECTOR_PORT: 4000 - TIDB_VECTOR_USER: xxx.root - TIDB_VECTOR_PASSWORD: xxxxxx - TIDB_VECTOR_DATABASE: dify - # oracle configurations - ORACLE_HOST: oracle - ORACLE_PORT: 1521 - ORACLE_USER: dify - ORACLE_PASSWORD: dify - ORACLE_DATABASE: FREEPDB1 - # Chroma configuration - CHROMA_HOST: 127.0.0.1 - CHROMA_PORT: 8000 - CHROMA_TENANT: default_tenant - CHROMA_DATABASE: default_database - CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider - CHROMA_AUTH_CREDENTIALS: xxxxxx - # ElasticSearch Config - ELASTICSEARCH_HOST: 127.0.0.1 - ELASTICSEARCH_PORT: 9200 - ELASTICSEARCH_USERNAME: elastic - ELASTICSEARCH_PASSWORD: elastic - # Mail configuration, support: resend, smtp - MAIL_TYPE: '' - # default send from email address, if not specified - MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply )' - SMTP_SERVER: '' - SMTP_PORT: 465 - SMTP_USERNAME: '' - SMTP_PASSWORD: '' - SMTP_USE_TLS: 'true' - SMTP_OPPORTUNISTIC_TLS: 'false' - # the api-key for resend (https://resend.com) - RESEND_API_KEY: '' - RESEND_API_URL: https://api.resend.com - # The DSN for Sentry error reporting. If not set, Sentry error reporting will be disabled. - SENTRY_DSN: '' - # The sample rate for Sentry events. Default: `1.0` - SENTRY_TRACES_SAMPLE_RATE: 1.0 - # The sample rate for Sentry profiles. Default: `1.0` - SENTRY_PROFILES_SAMPLE_RATE: 1.0 - # Notion import configuration, support public and internal - NOTION_INTEGRATION_TYPE: public - NOTION_CLIENT_SECRET: you-client-secret - NOTION_CLIENT_ID: you-client-id - NOTION_INTERNAL_SECRET: you-internal-secret - # The sandbox service endpoint. - CODE_EXECUTION_ENDPOINT: "http://sandbox:8194" - CODE_EXECUTION_API_KEY: dify-sandbox - CODE_MAX_NUMBER: 9223372036854775807 - CODE_MIN_NUMBER: -9223372036854775808 - CODE_MAX_STRING_LENGTH: 80000 - TEMPLATE_TRANSFORM_MAX_LENGTH: 80000 - CODE_MAX_STRING_ARRAY_LENGTH: 30 - CODE_MAX_OBJECT_ARRAY_LENGTH: 30 - CODE_MAX_NUMBER_ARRAY_LENGTH: 1000 - # SSRF Proxy server - SSRF_PROXY_HTTP_URL: 'http://ssrf_proxy:3128' - SSRF_PROXY_HTTPS_URL: 'http://ssrf_proxy:3128' - # Indexing configuration - INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 4000 - depends_on: - - db - - redis - volumes: - # Mount the storage directory to the container, for storing user files. - - ./volumes/app/storage:/app/api/storage - # uncomment to expose dify-api port to host - # ports: - # - "5001:5001" - networks: - - ssrf_proxy_network - - default - - # worker service - # The Celery worker for processing the queue. - worker: - image: langgenius/dify-api:0.15.3 - restart: always - environment: - CONSOLE_WEB_URL: '' - # Startup mode, 'worker' starts the Celery worker for processing the queue. - MODE: worker - - # --- All the configurations below are the same as those in the 'api' service. --- - - # The log level for the application. Supported values are `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL` - LOG_LEVEL: INFO - # A secret key that is used for securely signing the session cookie and encrypting sensitive information on the database. You can generate a strong key using `openssl rand -base64 42`. - # same as the API service - SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U - # The configurations of postgres database connection. - # It is consistent with the configuration in the 'db' service below. - DB_USERNAME: postgres - DB_PASSWORD: difyai123456 - DB_HOST: db - DB_PORT: 5432 - DB_DATABASE: dify - # The configurations of redis cache connection. - REDIS_HOST: redis - REDIS_PORT: 6379 - REDIS_USERNAME: '' - REDIS_PASSWORD: difyai123456 - REDIS_DB: 0 - REDIS_USE_SSL: 'false' - # The configurations of celery broker. - CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1 - # The type of storage to use for storing user files. Supported values are `local` and `s3` and `azure-blob` and `google-storage`, Default: `local` - STORAGE_TYPE: local - STORAGE_LOCAL_PATH: storage - # The S3 storage configurations, only available when STORAGE_TYPE is `s3`. - S3_USE_AWS_MANAGED_IAM: 'false' - S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com' - S3_BUCKET_NAME: 'difyai' - S3_ACCESS_KEY: 'ak-difyai' - S3_SECRET_KEY: 'sk-difyai' - S3_REGION: 'us-east-1' - # The Azure Blob storage configurations, only available when STORAGE_TYPE is `azure-blob`. - AZURE_BLOB_ACCOUNT_NAME: 'difyai' - AZURE_BLOB_ACCOUNT_KEY: 'difyai' - AZURE_BLOB_CONTAINER_NAME: 'difyai-container' - AZURE_BLOB_ACCOUNT_URL: 'https://.blob.core.windows.net' - # The Google storage configurations, only available when STORAGE_TYPE is `google-storage`. - GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name' - # if you want to use Application Default Credentials, you can leave GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64 empty. - GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string' - # The Alibaba Cloud OSS configurations, only available when STORAGE_TYPE is `aliyun-oss` - ALIYUN_OSS_BUCKET_NAME: 'your-bucket-name' - ALIYUN_OSS_ACCESS_KEY: 'your-access-key' - ALIYUN_OSS_SECRET_KEY: 'your-secret-key' - ALIYUN_OSS_ENDPOINT: 'https://oss-ap-southeast-1-internal.aliyuncs.com' - ALIYUN_OSS_REGION: 'ap-southeast-1' - ALIYUN_OSS_AUTH_VERSION: 'v4' - # The Tencent COS storage configurations, only available when STORAGE_TYPE is `tencent-cos`. - TENCENT_COS_BUCKET_NAME: 'your-bucket-name' - TENCENT_COS_SECRET_KEY: 'your-secret-key' - TENCENT_COS_SECRET_ID: 'your-secret-id' - TENCENT_COS_REGION: 'your-region' - TENCENT_COS_SCHEME: 'your-scheme' - # The type of vector store to use. Supported values are `weaviate`, `qdrant`, `milvus`, `relyt`, `pgvector`, `chroma`, 'opensearch', 'tidb_vector'. - VECTOR_STORE: weaviate - # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`. - WEAVIATE_ENDPOINT: http://weaviate:8080 - # The Weaviate API key. - WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih - # The Qdrant endpoint URL. Only available when VECTOR_STORE is `qdrant`. - QDRANT_URL: http://qdrant:6333 - # The Qdrant API key. - QDRANT_API_KEY: difyai123456 - # The Qdrant client timeout setting. - QDRANT_CLIENT_TIMEOUT: 20 - # The Qdrant client enable gRPC mode. - QDRANT_GRPC_ENABLED: 'false' - # The Qdrant server gRPC mode PORT. - QDRANT_GRPC_PORT: 6334 - # Milvus configuration Only available when VECTOR_STORE is `milvus`. - # The milvus uri. - MILVUS_URI: http://127.0.0.1:19530 - # The milvus token. - MILVUS_PORT: '' - # The milvus username. - MILVUS_USER: root - # The milvus password. - MILVUS_PASSWORD: Milvus - # Mail configuration, support: resend - MAIL_TYPE: '' - # default send from email address, if not specified - MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply )' - SMTP_SERVER: '' - SMTP_PORT: 465 - SMTP_USERNAME: '' - SMTP_PASSWORD: '' - SMTP_USE_TLS: 'true' - SMTP_OPPORTUNISTIC_TLS: 'false' - # the api-key for resend (https://resend.com) - RESEND_API_KEY: '' - RESEND_API_URL: https://api.resend.com - # relyt configurations - RELYT_HOST: db - RELYT_PORT: 5432 - RELYT_USER: postgres - RELYT_PASSWORD: difyai123456 - RELYT_DATABASE: postgres - # tencent configurations - TENCENT_VECTOR_DB_URL: http://127.0.0.1 - TENCENT_VECTOR_DB_API_KEY: dify - TENCENT_VECTOR_DB_TIMEOUT: 30 - TENCENT_VECTOR_DB_USERNAME: dify - TENCENT_VECTOR_DB_DATABASE: dify - TENCENT_VECTOR_DB_SHARD: 1 - TENCENT_VECTOR_DB_REPLICAS: 2 - # OpenSearch configuration - OPENSEARCH_HOST: 127.0.0.1 - OPENSEARCH_PORT: 9200 - OPENSEARCH_USER: admin - OPENSEARCH_PASSWORD: admin - OPENSEARCH_SECURE: 'true' - # pgvector configurations - PGVECTOR_HOST: pgvector - PGVECTOR_PORT: 5432 - PGVECTOR_USER: postgres - PGVECTOR_PASSWORD: difyai123456 - PGVECTOR_DATABASE: dify - # tidb vector configurations - TIDB_VECTOR_HOST: tidb - TIDB_VECTOR_PORT: 4000 - TIDB_VECTOR_USER: xxx.root - TIDB_VECTOR_PASSWORD: xxxxxx - TIDB_VECTOR_DATABASE: dify - # oracle configurations - ORACLE_HOST: oracle - ORACLE_PORT: 1521 - ORACLE_USER: dify - ORACLE_PASSWORD: dify - ORACLE_DATABASE: FREEPDB1 - # Chroma configuration - CHROMA_HOST: 127.0.0.1 - CHROMA_PORT: 8000 - CHROMA_TENANT: default_tenant - CHROMA_DATABASE: default_database - CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider - CHROMA_AUTH_CREDENTIALS: xxxxxx - # ElasticSearch Config - ELASTICSEARCH_HOST: 127.0.0.1 - ELASTICSEARCH_PORT: 9200 - ELASTICSEARCH_USERNAME: elastic - ELASTICSEARCH_PASSWORD: elastic - # Notion import configuration, support public and internal - NOTION_INTEGRATION_TYPE: public - NOTION_CLIENT_SECRET: you-client-secret - NOTION_CLIENT_ID: you-client-id - NOTION_INTERNAL_SECRET: you-internal-secret - # Indexing configuration - INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000 - CREATE_TIDB_SERVICE_JOB_ENABLED: false - depends_on: - - db - - redis - volumes: - # Mount the storage directory to the container, for storing user files. - - ./volumes/app/storage:/app/api/storage - networks: - - ssrf_proxy_network - - default - - # Frontend web application. - web: - image: langgenius/dify-web:0.15.3 - restart: always - environment: - # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is - # different from api or web app domain. - # example: http://cloud.dify.ai - CONSOLE_API_URL: '' - # The URL for Web APP api server, refers to the Web App base URL of WEB service if web app domain is different from - # console or api domain. - # example: http://udify.app - APP_API_URL: '' - # The DSN for Sentry error reporting. If not set, Sentry error reporting will be disabled. - SENTRY_DSN: '' - # uncomment to expose dify-web port to host - # ports: - # - "3000:3000" - - # The postgres database. - db: - image: postgres:15-alpine - restart: always - environment: - PGUSER: postgres - # The password for the default postgres user. - POSTGRES_PASSWORD: difyai123456 - # The name of the default postgres database. - POSTGRES_DB: dify - # postgres data directory - PGDATA: /var/lib/postgresql/data/pgdata - volumes: - - ./volumes/db/data:/var/lib/postgresql/data - # notice!: if you use windows-wsl2, postgres may not work properly due to the ntfs issue.you can use volumes to mount the data directory to the host. - # if you use the following config, you need to uncomment the volumes configuration below at the end of the file. - # - postgres:/var/lib/postgresql/data - # uncomment to expose db(postgresql) port to host - # ports: - # - "5432:5432" - healthcheck: - test: [ "CMD", "pg_isready" ] - interval: 1s - timeout: 3s - retries: 30 - - # The redis cache. - redis: - image: redis:6-alpine - restart: always - volumes: - # Mount the redis data directory to the container. - - ./volumes/redis/data:/data - # Set the redis password when startup redis server. - command: redis-server --requirepass difyai123456 - healthcheck: - test: [ "CMD", "redis-cli", "ping" ] - # uncomment to expose redis port to host - # ports: - # - "6379:6379" - - # The Weaviate vector store. - weaviate: - image: semitechnologies/weaviate:1.19.0 - restart: always - volumes: - # Mount the Weaviate data directory to the container. - - ./volumes/weaviate:/var/lib/weaviate - environment: - # The Weaviate configurations - # You can refer to the [Weaviate](https://weaviate.io/developers/weaviate/config-refs/env-vars) documentation for more information. - QUERY_DEFAULTS_LIMIT: 25 - AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false' - PERSISTENCE_DATA_PATH: '/var/lib/weaviate' - DEFAULT_VECTORIZER_MODULE: 'none' - CLUSTER_HOSTNAME: 'node1' - AUTHENTICATION_APIKEY_ENABLED: 'true' - AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih' - AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai' - AUTHORIZATION_ADMINLIST_ENABLED: 'true' - AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai' - # uncomment to expose weaviate port to host - # ports: - # - "8080:8080" - - # The DifySandbox - sandbox: - image: langgenius/dify-sandbox:0.2.1 - restart: always - environment: - # The DifySandbox configurations - # Make sure you are changing this key for your deployment with a strong key. - # You can generate a strong key using `openssl rand -base64 42`. - API_KEY: dify-sandbox - GIN_MODE: 'release' - WORKER_TIMEOUT: 15 - ENABLE_NETWORK: 'true' - HTTP_PROXY: 'http://ssrf_proxy:3128' - HTTPS_PROXY: 'http://ssrf_proxy:3128' - SANDBOX_PORT: 8194 - volumes: - - ./volumes/sandbox/dependencies:/dependencies - networks: - - ssrf_proxy_network - - # ssrf_proxy server - # for more information, please refer to - # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed - ssrf_proxy: - image: ubuntu/squid:latest - restart: always - volumes: - # pls clearly modify the squid.conf file to fit your network environment. - - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf - networks: - - ssrf_proxy_network - - default - # Qdrant vector store. - # uncomment to use qdrant as vector store. - # (if uncommented, you need to comment out the weaviate service above, - # and set VECTOR_STORE to qdrant in the api & worker service.) - # qdrant: - # image: langgenius/qdrant:v1.7.3 - # restart: always - # volumes: - # - ./volumes/qdrant:/qdrant/storage - # environment: - # QDRANT_API_KEY: 'difyai123456' - # # uncomment to expose qdrant port to host - # # ports: - # # - "6333:6333" - # # - "6334:6334" - - # The pgvector vector database. - # Uncomment to use qdrant as vector store. - # pgvector: - # image: pgvector/pgvector:pg16 - # restart: always - # environment: - # PGUSER: postgres - # # The password for the default postgres user. - # POSTGRES_PASSWORD: difyai123456 - # # The name of the default postgres database. - # POSTGRES_DB: dify - # # postgres data directory - # PGDATA: /var/lib/postgresql/data/pgdata - # volumes: - # - ./volumes/pgvector/data:/var/lib/postgresql/data - # # uncomment to expose db(postgresql) port to host - # # ports: - # # - "5433:5432" - # healthcheck: - # test: [ "CMD", "pg_isready" ] - # interval: 1s - # timeout: 3s - # retries: 30 - - # The oracle vector database. - # Uncomment to use oracle23ai as vector store. Also need to Uncomment volumes block - # oracle: - # image: container-registry.oracle.com/database/free:latest - # restart: always - # ports: - # - 1521:1521 - # volumes: - # - type: volume - # source: oradata - # target: /opt/oracle/oradata - # - ./startupscripts:/opt/oracle/scripts/startup - # environment: - # - ORACLE_PWD=Dify123456 - # - ORACLE_CHARACTERSET=AL32UTF8 - - - # The nginx reverse proxy. - # used for reverse proxying the API service and Web service. - nginx: - image: nginx:latest - restart: always - volumes: - - ./nginx/nginx.conf:/etc/nginx/nginx.conf - - ./nginx/proxy.conf:/etc/nginx/proxy.conf - - ./nginx/conf.d:/etc/nginx/conf.d - #- ./nginx/ssl:/etc/ssl - depends_on: - - api - - web - ports: - - "80:80" - #- "443:443" -# notice: if you use windows-wsl2, postgres may not work properly due to the ntfs issue.you can use volumes to mount the data directory to the host. -# volumes: -#   postgres: -networks: - # create a network between sandbox, api and ssrf_proxy, and can not access outside. - ssrf_proxy_network: - driver: bridge - internal: true - -#volumes: -# oradata: diff --git a/docker-legacy/nginx/conf.d/default.conf b/docker-legacy/nginx/conf.d/default.conf deleted file mode 100644 index d6ee302b789a99..00000000000000 --- a/docker-legacy/nginx/conf.d/default.conf +++ /dev/null @@ -1,38 +0,0 @@ -server { - listen 80; - server_name _; - - location /console/api { - proxy_pass http://api:5001; - include proxy.conf; - } - - location /api { - proxy_pass http://api:5001; - include proxy.conf; - } - - location /v1 { - proxy_pass http://api:5001; - include proxy.conf; - } - - location /files { - proxy_pass http://api:5001; - include proxy.conf; - } - - location / { - proxy_pass http://web:3000; - include proxy.conf; - } - - # If you want to support HTTPS, please uncomment the code snippet below - #listen 443 ssl; - #ssl_certificate ./../ssl/your_cert_file.cer; - #ssl_certificate_key ./../ssl/your_cert_key.key; - #ssl_protocols TLSv1.1 TLSv1.2 TLSv1.3; - #ssl_prefer_server_ciphers on; - #ssl_session_cache shared:SSL:10m; - #ssl_session_timeout 10m; -} diff --git a/docker-legacy/nginx/nginx.conf b/docker-legacy/nginx/nginx.conf deleted file mode 100644 index d2b52963e8451e..00000000000000 --- a/docker-legacy/nginx/nginx.conf +++ /dev/null @@ -1,32 +0,0 @@ -user nginx; -worker_processes auto; - -error_log /var/log/nginx/error.log notice; -pid /var/run/nginx.pid; - - -events { - worker_connections 1024; -} - - -http { - include /etc/nginx/mime.types; - default_type application/octet-stream; - - log_format main '$remote_addr - $remote_user [$time_local] "$request" ' - '$status $body_bytes_sent "$http_referer" ' - '"$http_user_agent" "$http_x_forwarded_for"'; - - access_log /var/log/nginx/access.log main; - - sendfile on; - #tcp_nopush on; - - keepalive_timeout 65; - - #gzip on; - client_max_body_size 15M; - - include /etc/nginx/conf.d/*.conf; -} \ No newline at end of file diff --git a/docker-legacy/nginx/proxy.conf b/docker-legacy/nginx/proxy.conf deleted file mode 100644 index 254f6259612e99..00000000000000 --- a/docker-legacy/nginx/proxy.conf +++ /dev/null @@ -1,8 +0,0 @@ -proxy_set_header Host $host; -proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; -proxy_set_header X-Forwarded-Proto $scheme; -proxy_http_version 1.1; -proxy_set_header Connection ""; -proxy_buffering off; -proxy_read_timeout 3600s; -proxy_send_timeout 3600s; \ No newline at end of file diff --git a/docker-legacy/nginx/ssl/.gitkeep b/docker-legacy/nginx/ssl/.gitkeep deleted file mode 100644 index 8b137891791fe9..00000000000000 --- a/docker-legacy/nginx/ssl/.gitkeep +++ /dev/null @@ -1 +0,0 @@ - diff --git a/docker-legacy/startupscripts/create_user.sql b/docker-legacy/startupscripts/create_user.sql deleted file mode 100755 index b80e19c3b05a06..00000000000000 --- a/docker-legacy/startupscripts/create_user.sql +++ /dev/null @@ -1,5 +0,0 @@ -show pdbs; -ALTER SYSTEM SET PROCESSES=500 SCOPE=SPFILE; -alter session set container= freepdb1; -create user dify identified by dify DEFAULT TABLESPACE users quota unlimited on users; -grant DB_DEVELOPER_ROLE to dify; diff --git a/docker-legacy/volumes/opensearch/opensearch_dashboards.yml b/docker-legacy/volumes/opensearch/opensearch_dashboards.yml deleted file mode 100644 index f50d63bbb9f425..00000000000000 --- a/docker-legacy/volumes/opensearch/opensearch_dashboards.yml +++ /dev/null @@ -1,222 +0,0 @@ ---- -# Copyright OpenSearch Contributors -# SPDX-License-Identifier: Apache-2.0 - -# Description: -# Default configuration for OpenSearch Dashboards - -# OpenSearch Dashboards is served by a back end server. This setting specifies the port to use. -# server.port: 5601 - -# Specifies the address to which the OpenSearch Dashboards server will bind. IP addresses and host names are both valid values. -# The default is 'localhost', which usually means remote machines will not be able to connect. -# To allow connections from remote users, set this parameter to a non-loopback address. -# server.host: "localhost" - -# Enables you to specify a path to mount OpenSearch Dashboards at if you are running behind a proxy. -# Use the `server.rewriteBasePath` setting to tell OpenSearch Dashboards if it should remove the basePath -# from requests it receives, and to prevent a deprecation warning at startup. -# This setting cannot end in a slash. -# server.basePath: "" - -# Specifies whether OpenSearch Dashboards should rewrite requests that are prefixed with -# `server.basePath` or require that they are rewritten by your reverse proxy. -# server.rewriteBasePath: false - -# The maximum payload size in bytes for incoming server requests. -# server.maxPayloadBytes: 1048576 - -# The OpenSearch Dashboards server's name. This is used for display purposes. -# server.name: "your-hostname" - -# The URLs of the OpenSearch instances to use for all your queries. -# opensearch.hosts: ["http://localhost:9200"] - -# OpenSearch Dashboards uses an index in OpenSearch to store saved searches, visualizations and -# dashboards. OpenSearch Dashboards creates a new index if the index doesn't already exist. -# opensearchDashboards.index: ".opensearch_dashboards" - -# The default application to load. -# opensearchDashboards.defaultAppId: "home" - -# Setting for an optimized healthcheck that only uses the local OpenSearch node to do Dashboards healthcheck. -# This settings should be used for large clusters or for clusters with ingest heavy nodes. -# It allows Dashboards to only healthcheck using the local OpenSearch node rather than fan out requests across all nodes. -# -# It requires the user to create an OpenSearch node attribute with the same name as the value used in the setting -# This node attribute should assign all nodes of the same cluster an integer value that increments with each new cluster that is spun up -# e.g. in opensearch.yml file you would set the value to a setting using node.attr.cluster_id: -# Should only be enabled if there is a corresponding node attribute created in your OpenSearch config that matches the value here -# opensearch.optimizedHealthcheckId: "cluster_id" - -# If your OpenSearch is protected with basic authentication, these settings provide -# the username and password that the OpenSearch Dashboards server uses to perform maintenance on the OpenSearch Dashboards -# index at startup. Your OpenSearch Dashboards users still need to authenticate with OpenSearch, which -# is proxied through the OpenSearch Dashboards server. -# opensearch.username: "opensearch_dashboards_system" -# opensearch.password: "pass" - -# Enables SSL and paths to the PEM-format SSL certificate and SSL key files, respectively. -# These settings enable SSL for outgoing requests from the OpenSearch Dashboards server to the browser. -# server.ssl.enabled: false -# server.ssl.certificate: /path/to/your/server.crt -# server.ssl.key: /path/to/your/server.key - -# Optional settings that provide the paths to the PEM-format SSL certificate and key files. -# These files are used to verify the identity of OpenSearch Dashboards to OpenSearch and are required when -# xpack.security.http.ssl.client_authentication in OpenSearch is set to required. -# opensearch.ssl.certificate: /path/to/your/client.crt -# opensearch.ssl.key: /path/to/your/client.key - -# Optional setting that enables you to specify a path to the PEM file for the certificate -# authority for your OpenSearch instance. -# opensearch.ssl.certificateAuthorities: [ "/path/to/your/CA.pem" ] - -# To disregard the validity of SSL certificates, change this setting's value to 'none'. -# opensearch.ssl.verificationMode: full - -# Time in milliseconds to wait for OpenSearch to respond to pings. Defaults to the value of -# the opensearch.requestTimeout setting. -# opensearch.pingTimeout: 1500 - -# Time in milliseconds to wait for responses from the back end or OpenSearch. This value -# must be a positive integer. -# opensearch.requestTimeout: 30000 - -# List of OpenSearch Dashboards client-side headers to send to OpenSearch. To send *no* client-side -# headers, set this value to [] (an empty list). -# opensearch.requestHeadersWhitelist: [ authorization ] - -# Header names and values that are sent to OpenSearch. Any custom headers cannot be overwritten -# by client-side headers, regardless of the opensearch.requestHeadersWhitelist configuration. -# opensearch.customHeaders: {} - -# Time in milliseconds for OpenSearch to wait for responses from shards. Set to 0 to disable. -# opensearch.shardTimeout: 30000 - -# Logs queries sent to OpenSearch. Requires logging.verbose set to true. -# opensearch.logQueries: false - -# Specifies the path where OpenSearch Dashboards creates the process ID file. -# pid.file: /var/run/opensearchDashboards.pid - -# Enables you to specify a file where OpenSearch Dashboards stores log output. -# logging.dest: stdout - -# Set the value of this setting to true to suppress all logging output. -# logging.silent: false - -# Set the value of this setting to true to suppress all logging output other than error messages. -# logging.quiet: false - -# Set the value of this setting to true to log all events, including system usage information -# and all requests. -# logging.verbose: false - -# Set the interval in milliseconds to sample system and process performance -# metrics. Minimum is 100ms. Defaults to 5000. -# ops.interval: 5000 - -# Specifies locale to be used for all localizable strings, dates and number formats. -# Supported languages are the following: English - en , by default , Chinese - zh-CN . -# i18n.locale: "en" - -# Set the allowlist to check input graphite Url. Allowlist is the default check list. -# vis_type_timeline.graphiteAllowedUrls: ['https://www.hostedgraphite.com/UID/ACCESS_KEY/graphite'] - -# Set the blocklist to check input graphite Url. Blocklist is an IP list. -# Below is an example for reference -# vis_type_timeline.graphiteBlockedIPs: [ -# //Loopback -# '127.0.0.0/8', -# '::1/128', -# //Link-local Address for IPv6 -# 'fe80::/10', -# //Private IP address for IPv4 -# '10.0.0.0/8', -# '172.16.0.0/12', -# '192.168.0.0/16', -# //Unique local address (ULA) -# 'fc00::/7', -# //Reserved IP address -# '0.0.0.0/8', -# '100.64.0.0/10', -# '192.0.0.0/24', -# '192.0.2.0/24', -# '198.18.0.0/15', -# '192.88.99.0/24', -# '198.51.100.0/24', -# '203.0.113.0/24', -# '224.0.0.0/4', -# '240.0.0.0/4', -# '255.255.255.255/32', -# '::/128', -# '2001:db8::/32', -# 'ff00::/8', -# ] -# vis_type_timeline.graphiteBlockedIPs: [] - -# opensearchDashboards.branding: -# logo: -# defaultUrl: "" -# darkModeUrl: "" -# mark: -# defaultUrl: "" -# darkModeUrl: "" -# loadingLogo: -# defaultUrl: "" -# darkModeUrl: "" -# faviconUrl: "" -# applicationTitle: "" - -# Set the value of this setting to true to capture region blocked warnings and errors -# for your map rendering services. -# map.showRegionBlockedWarning: false% - -# Set the value of this setting to false to suppress search usage telemetry -# for reducing the load of OpenSearch cluster. -# data.search.usageTelemetry.enabled: false - -# 2.4 renames 'wizard.enabled: false' to 'vis_builder.enabled: false' -# Set the value of this setting to false to disable VisBuilder -# functionality in Visualization. -# vis_builder.enabled: false - -# 2.4 New Experimental Feature -# Set the value of this setting to true to enable the experimental multiple data source -# support feature. Use with caution. -# data_source.enabled: false -# Set the value of these settings to customize crypto materials to encryption saved credentials -# in data sources. -# data_source.encryption.wrappingKeyName: 'changeme' -# data_source.encryption.wrappingKeyNamespace: 'changeme' -# data_source.encryption.wrappingKey: [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] - -# 2.6 New ML Commons Dashboards Feature -# Set the value of this setting to true to enable the ml commons dashboards -# ml_commons_dashboards.enabled: false - -# 2.12 New experimental Assistant Dashboards Feature -# Set the value of this setting to true to enable the assistant dashboards -# assistant.chat.enabled: false - -# 2.13 New Query Assistant Feature -# Set the value of this setting to false to disable the query assistant -# observability.query_assist.enabled: false - -# 2.14 Enable Ui Metric Collectors in Usage Collector -# Set the value of this setting to true to enable UI Metric collections -# usageCollection.uiMetric.enabled: false - -opensearch.hosts: [https://localhost:9200] -opensearch.ssl.verificationMode: none -opensearch.username: admin -opensearch.password: 'Qazwsxedc!@#123' -opensearch.requestHeadersWhitelist: [authorization, securitytenant] - -opensearch_security.multitenancy.enabled: true -opensearch_security.multitenancy.tenants.preferred: [Private, Global] -opensearch_security.readonly_mode.roles: [kibana_read_only] -# Use this setting if you are running opensearch-dashboards without https -opensearch_security.cookie.secure: false -server.host: '0.0.0.0' diff --git a/docker-legacy/volumes/sandbox/dependencies/python-requirements.txt b/docker-legacy/volumes/sandbox/dependencies/python-requirements.txt deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/docker-legacy/volumes/ssrf_proxy/squid.conf b/docker-legacy/volumes/ssrf_proxy/squid.conf deleted file mode 100644 index 06bedb8aaf928f..00000000000000 --- a/docker-legacy/volumes/ssrf_proxy/squid.conf +++ /dev/null @@ -1,49 +0,0 @@ -acl localnet src 0.0.0.1-0.255.255.255 # RFC 1122 "this" network (LAN) -acl localnet src 10.0.0.0/8 # RFC 1918 local private network (LAN) -acl localnet src 100.64.0.0/10 # RFC 6598 shared address space (CGN) -acl localnet src 169.254.0.0/16 # RFC 3927 link-local (directly plugged) machines -acl localnet src 172.16.0.0/12 # RFC 1918 local private network (LAN) -acl localnet src 192.168.0.0/16 # RFC 1918 local private network (LAN) -acl localnet src fc00::/7 # RFC 4193 local private network range -acl localnet src fe80::/10 # RFC 4291 link-local (directly plugged) machines -acl SSL_ports port 443 -acl Safe_ports port 80 # http -acl Safe_ports port 21 # ftp -acl Safe_ports port 443 # https -acl Safe_ports port 70 # gopher -acl Safe_ports port 210 # wais -acl Safe_ports port 1025-65535 # unregistered ports -acl Safe_ports port 280 # http-mgmt -acl Safe_ports port 488 # gss-http -acl Safe_ports port 591 # filemaker -acl Safe_ports port 777 # multiling http -acl CONNECT method CONNECT -http_access deny !Safe_ports -http_access deny CONNECT !SSL_ports -http_access allow localhost manager -http_access deny manager -http_access allow localhost -include /etc/squid/conf.d/*.conf -http_access deny all - -################################## Proxy Server ################################ -http_port 3128 -coredump_dir /var/spool/squid -refresh_pattern ^ftp: 1440 20% 10080 -refresh_pattern ^gopher: 1440 0% 1440 -refresh_pattern -i (/cgi-bin/|\?) 0 0% 0 -refresh_pattern \/(Packages|Sources)(|\.bz2|\.gz|\.xz)$ 0 0% 0 refresh-ims -refresh_pattern \/Release(|\.gpg)$ 0 0% 0 refresh-ims -refresh_pattern \/InRelease$ 0 0% 0 refresh-ims -refresh_pattern \/(Translation-.*)(|\.bz2|\.gz|\.xz)$ 0 0% 0 refresh-ims -refresh_pattern . 0 20% 4320 - -# upstream proxy, set to your own upstream proxy IP to avoid SSRF attacks -# cache_peer 172.1.1.1 parent 3128 0 no-query no-digest no-netdb-exchange default - - -################################## Reverse Proxy To Sandbox ################################ -http_port 8194 accel vhost -cache_peer sandbox parent 8194 0 no-query originserver -acl src_all src all -http_access allow src_all diff --git a/docker/.env.example b/docker/.env.example index 3bc79059dca66b..afd2caf5014fbc 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -936,3 +936,30 @@ MAX_SUBMIT_COUNT=100 # The maximum number of top-k value for RAG. TOP_K_MAX_VALUE=10 + +# ------------------------------ +# Plugin Daemon Configuration +# ------------------------------ + +DB_PLUGIN_DATABASE=dify_plugin +EXPOSE_PLUGIN_DAEMON_PORT=5002 +PLUGIN_DAEMON_PORT=5002 +PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi +PLUGIN_DAEMON_URL=http://plugin_daemon:5002 +PLUGIN_MAX_PACKAGE_SIZE=52428800 +PLUGIN_PPROF_ENABLED=false + +PLUGIN_DEBUGGING_HOST=0.0.0.0 +PLUGIN_DEBUGGING_PORT=5003 +EXPOSE_PLUGIN_DEBUGGING_HOST=localhost +EXPOSE_PLUGIN_DEBUGGING_PORT=5003 + +PLUGIN_DIFY_INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 +PLUGIN_DIFY_INNER_API_URL=http://api:5001 + +ENDPOINT_URL_TEMPLATE=http://localhost/e/{hook_id} + +MARKETPLACE_ENABLED=true +MARKETPLACE_API_URL=https://marketplace.dify.ai + +FORCE_VERIFYING_SIGNATURE=true diff --git a/docker/docker-compose-template.yaml b/docker/docker-compose-template.yaml index fc4e7d9c896720..91dfa7f39f79b5 100644 --- a/docker/docker-compose-template.yaml +++ b/docker/docker-compose-template.yaml @@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env services: # API service api: - image: langgenius/dify-api:0.15.3 + image: langgenius/dify-api:1.0.0 restart: always environment: # Use the shared environment variables. @@ -12,6 +12,8 @@ services: SENTRY_DSN: ${API_SENTRY_DSN:-} SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} + PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - db - redis @@ -25,7 +27,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.15.3 + image: langgenius/dify-api:1.0.0 restart: always environment: # Use the shared environment variables. @@ -35,6 +37,8 @@ services: SENTRY_DSN: ${API_SENTRY_DSN:-} SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} + PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - db - redis @@ -47,7 +51,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.15.3 + image: langgenius/dify-web:1.0.0 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -56,6 +60,8 @@ services: NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0} TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} CSP_WHITELIST: ${CSP_WHITELIST:-} + MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai} + MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai} TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-} INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-} @@ -81,6 +87,8 @@ services: interval: 1s timeout: 3s retries: 30 + ports: + - '${EXPOSE_DB_PORT:-5432}:5432' # The redis cache. redis: @@ -118,6 +126,30 @@ services: networks: - ssrf_proxy_network + # plugin daemon + plugin_daemon: + image: langgenius/dify-plugin-daemon:0.0.1-local + restart: always + environment: + # Use the shared environment variables. + <<: *shared-api-worker-env + DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin} + SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002} + SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi} + MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false} + DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001} + DIFY_INNER_API_KEY: ${INNER_API_KEY_FOR_PLUGIN:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} + PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_REMOTE_INSTALL_HOST:-0.0.0.0} + PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_REMOTE_INSTALL_PORT:-5003} + PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd} + FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true} + ports: + - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" + volumes: + - ./volumes/plugin_daemon:/app/storage + + # ssrf_proxy server # for more information, please refer to # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed diff --git a/docker/docker-compose.middleware.yaml b/docker/docker-compose.middleware.yaml index 11f53021972e6e..01879c4238153d 100644 --- a/docker/docker-compose.middleware.yaml +++ b/docker/docker-compose.middleware.yaml @@ -64,6 +64,36 @@ services: networks: - ssrf_proxy_network + # plugin daemon + plugin_daemon: + image: langgenius/dify-plugin-daemon:0.0.1-local + restart: always + environment: + # Use the shared environment variables. + DB_HOST: ${DB_HOST:-db} + DB_PORT: ${DB_PORT:-5432} + DB_USERNAME: ${DB_USER:-postgres} + DB_PASSWORD: ${DB_PASSWORD:-difyai123456} + DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin} + REDIS_HOST: ${REDIS_HOST:-redis} + REDIS_PORT: ${REDIS_PORT:-6379} + REDIS_PASSWORD: ${REDIS_PASSWORD:-difyai123456} + SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002} + SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi} + MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false} + DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://host.docker.internal:5001} + DIFY_INNER_API_KEY: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} + PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_DEBUGGING_HOST:-0.0.0.0} + PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003} + PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd} + FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true} + ports: + - "${EXPOSE_PLUGIN_DAEMON_PORT:-5002}:${PLUGIN_DAEMON_PORT:-5002}" + - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" + volumes: + - ./volumes/plugin_daemon:/app/storage + # ssrf_proxy server # for more information, please refer to # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 38e478380682fa..840fe2267ff67a 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -393,11 +393,28 @@ x-shared-env: &shared-api-worker-env CREATE_TIDB_SERVICE_JOB_ENABLED: ${CREATE_TIDB_SERVICE_JOB_ENABLED:-false} MAX_SUBMIT_COUNT: ${MAX_SUBMIT_COUNT:-100} TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-10} + DB_PLUGIN_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin} + EXPOSE_PLUGIN_DAEMON_PORT: ${EXPOSE_PLUGIN_DAEMON_PORT:-5002} + PLUGIN_DAEMON_PORT: ${PLUGIN_DAEMON_PORT:-5002} + PLUGIN_DAEMON_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi} + PLUGIN_DAEMON_URL: ${PLUGIN_DAEMON_URL:-http://plugin_daemon:5002} + PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + PLUGIN_PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false} + PLUGIN_DEBUGGING_HOST: ${PLUGIN_DEBUGGING_HOST:-0.0.0.0} + PLUGIN_DEBUGGING_PORT: ${PLUGIN_DEBUGGING_PORT:-5003} + EXPOSE_PLUGIN_DEBUGGING_HOST: ${EXPOSE_PLUGIN_DEBUGGING_HOST:-localhost} + EXPOSE_PLUGIN_DEBUGGING_PORT: ${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003} + PLUGIN_DIFY_INNER_API_KEY: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} + PLUGIN_DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001} + ENDPOINT_URL_TEMPLATE: ${ENDPOINT_URL_TEMPLATE:-http://localhost/e/{hook_id}} + MARKETPLACE_ENABLED: ${MARKETPLACE_ENABLED:-true} + MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai} + FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true} services: # API service api: - image: langgenius/dify-api:0.15.3 + image: langgenius/dify-api:1.0.0 restart: always environment: # Use the shared environment variables. @@ -407,6 +424,8 @@ services: SENTRY_DSN: ${API_SENTRY_DSN:-} SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} + PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - db - redis @@ -420,7 +439,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.15.3 + image: langgenius/dify-api:1.0.0 restart: always environment: # Use the shared environment variables. @@ -430,6 +449,8 @@ services: SENTRY_DSN: ${API_SENTRY_DSN:-} SENTRY_TRACES_SAMPLE_RATE: ${API_SENTRY_TRACES_SAMPLE_RATE:-1.0} SENTRY_PROFILES_SAMPLE_RATE: ${API_SENTRY_PROFILES_SAMPLE_RATE:-1.0} + PLUGIN_MAX_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + INNER_API_KEY_FOR_PLUGIN: ${PLUGIN_DIFY_INNER_API_KEY:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} depends_on: - db - redis @@ -442,7 +463,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.15.3 + image: langgenius/dify-web:1.0.0 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} @@ -451,6 +472,8 @@ services: NEXT_TELEMETRY_DISABLED: ${NEXT_TELEMETRY_DISABLED:-0} TEXT_GENERATION_TIMEOUT_MS: ${TEXT_GENERATION_TIMEOUT_MS:-60000} CSP_WHITELIST: ${CSP_WHITELIST:-} + MARKETPLACE_API_URL: ${MARKETPLACE_API_URL:-https://marketplace.dify.ai} + MARKETPLACE_URL: ${MARKETPLACE_URL:-https://marketplace.dify.ai} TOP_K_MAX_VALUE: ${TOP_K_MAX_VALUE:-} INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-} @@ -476,6 +499,8 @@ services: interval: 1s timeout: 3s retries: 30 + ports: + - '${EXPOSE_DB_PORT:-5432}:5432' # The redis cache. redis: @@ -513,6 +538,30 @@ services: networks: - ssrf_proxy_network + # plugin daemon + plugin_daemon: + image: langgenius/dify-plugin-daemon:0.0.1-local + restart: always + environment: + # Use the shared environment variables. + <<: *shared-api-worker-env + DB_DATABASE: ${DB_PLUGIN_DATABASE:-dify_plugin} + SERVER_PORT: ${PLUGIN_DAEMON_PORT:-5002} + SERVER_KEY: ${PLUGIN_DAEMON_KEY:-lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi} + MAX_PLUGIN_PACKAGE_SIZE: ${PLUGIN_MAX_PACKAGE_SIZE:-52428800} + PPROF_ENABLED: ${PLUGIN_PPROF_ENABLED:-false} + DIFY_INNER_API_URL: ${PLUGIN_DIFY_INNER_API_URL:-http://api:5001} + DIFY_INNER_API_KEY: ${INNER_API_KEY_FOR_PLUGIN:-QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1} + PLUGIN_REMOTE_INSTALLING_HOST: ${PLUGIN_REMOTE_INSTALL_HOST:-0.0.0.0} + PLUGIN_REMOTE_INSTALLING_PORT: ${PLUGIN_REMOTE_INSTALL_PORT:-5003} + PLUGIN_WORKING_PATH: ${PLUGIN_WORKING_PATH:-/app/storage/cwd} + FORCE_VERIFYING_SIGNATURE: ${FORCE_VERIFYING_SIGNATURE:-true} + ports: + - "${EXPOSE_PLUGIN_DEBUGGING_PORT:-5003}:${PLUGIN_DEBUGGING_PORT:-5003}" + volumes: + - ./volumes/plugin_daemon:/app/storage + + # ssrf_proxy server # for more information, please refer to # https://docs.dify.ai/learn-more/faq/install-faq#id-18.-why-is-ssrf_proxy-needed diff --git a/docker/middleware.env.example b/docker/middleware.env.example index c4ce9f0114ebad..aaecad72b5ad89 100644 --- a/docker/middleware.env.example +++ b/docker/middleware.env.example @@ -87,3 +87,31 @@ EXPOSE_REDIS_PORT=6379 EXPOSE_SANDBOX_PORT=8194 EXPOSE_SSRF_PROXY_PORT=3128 EXPOSE_WEAVIATE_PORT=8080 + +# ------------------------------ +# Plugin Daemon Configuration +# ------------------------------ + +DB_PLUGIN_DATABASE=dify_plugin +EXPOSE_PLUGIN_DAEMON_PORT=5002 +PLUGIN_DAEMON_PORT=5002 +PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi +PLUGIN_DAEMON_URL=http://host.docker.internal:5002 +PLUGIN_MAX_PACKAGE_SIZE=52428800 +PLUGIN_PPROF_ENABLED=false +PLUGIN_WORKING_PATH=/app/storage/cwd + +ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id} + +PLUGIN_DEBUGGING_PORT=5003 +PLUGIN_DEBUGGING_HOST=0.0.0.0 +EXPOSE_PLUGIN_DEBUGGING_HOST=localhost +EXPOSE_PLUGIN_DEBUGGING_PORT=5003 + +PLUGIN_DIFY_INNER_API_KEY=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1 +PLUGIN_DIFY_INNER_API_URL=http://api:5001 + +MARKETPLACE_ENABLED=true +MARKETPLACE_API_URL=https://marketplace.dify.ai + +FORCE_VERIFYING_SIGNATURE=true \ No newline at end of file diff --git a/docker/nginx/conf.d/default.conf.template b/docker/nginx/conf.d/default.conf.template index 9691122ceafac3..a24219ed40fe9d 100644 --- a/docker/nginx/conf.d/default.conf.template +++ b/docker/nginx/conf.d/default.conf.template @@ -24,6 +24,17 @@ server { include proxy.conf; } + location /explore { + proxy_pass http://web:3000; + include proxy.conf; + } + + location /e { + proxy_pass http://plugin_daemon:5002; + proxy_set_header Dify-Hook-Url $scheme://$host$request_uri; + include proxy.conf; + } + location / { proxy_pass http://web:3000; include proxy.conf; diff --git a/sdks/nodejs-client/babel.config.json b/sdks/nodejs-client/babel.config.json deleted file mode 100644 index 0639bf76432a98..00000000000000 --- a/sdks/nodejs-client/babel.config.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "presets": [ - "@babel/preset-env" - ] -} \ No newline at end of file diff --git a/web/.env.example b/web/.env.example index e2117ddfd8702d..f26272c8f3fff5 100644 --- a/web/.env.example +++ b/web/.env.example @@ -10,6 +10,10 @@ NEXT_PUBLIC_API_PREFIX=http://localhost:5001/console/api # console or api domain. # example: http://udify.app/api NEXT_PUBLIC_PUBLIC_API_PREFIX=http://localhost:5001/api +# The APIFREX for MARKETPLACE +NEXT_PUBLIC_MARKETPLACE_API_PREFIX=http://localhost:5002/api +# The URL for MARKETPLACE +NEXT_PUBLIC_MARKETPLACE_URL_PREFIX= # SENTRY NEXT_PUBLIC_SENTRY_DSN= @@ -26,6 +30,8 @@ NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS=60000 # CSP https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP NEXT_PUBLIC_CSP_WHITELIST= +# Github Access Token, used for invoking Github API +NEXT_PUBLIC_GITHUB_ACCESS_TOKEN= # The maximum number of top-k value for RAG. NEXT_PUBLIC_TOP_K_MAX_VALUE=10 diff --git a/web/.eslintignore b/web/.eslintignore deleted file mode 100644 index 8a8bc38d805242..00000000000000 --- a/web/.eslintignore +++ /dev/null @@ -1,7 +0,0 @@ -/**/node_modules/* -node_modules/ - -dist/ -build/ -out/ -.next/ \ No newline at end of file diff --git a/web/.eslintrc.json b/web/.eslintrc.json deleted file mode 100644 index 18b6bc6016ff56..00000000000000 --- a/web/.eslintrc.json +++ /dev/null @@ -1,31 +0,0 @@ -{ - "extends": [ - "next", - "@antfu", - "plugin:storybook/recommended" - ], - "rules": { - "@typescript-eslint/consistent-type-definitions": [ - "error", - "type" - ], - "@typescript-eslint/no-var-requires": "off", - "no-console": "off", - "indent": "off", - "@typescript-eslint/indent": [ - "error", - 2, - { - "SwitchCase": 1, - "flatTernaryExpressions": false, - "ignoredNodes": [ - "PropertyDefinition[decorators]", - "TSUnionType", - "FunctionExpression[params]:has(Identifier[decorators])" - ] - } - ], - "react-hooks/exhaustive-deps": "warn", - "react/display-name": "warn" - } -} diff --git a/web/.gitignore b/web/.gitignore index cb8fbe77ac0c0f..048c5f64853ffe 100644 --- a/web/.gitignore +++ b/web/.gitignore @@ -44,12 +44,11 @@ package-lock.json .pnp.cjs .pnp.loader.mjs .yarn/ -.yarnrc.yml - -# pmpm -pnpm-lock.yaml .favorites.json + +# storybook +/storybook-static *storybook.log # mise diff --git a/web/.husky/pre-commit b/web/.husky/pre-commit index d9290e1853e457..cca8abe27aa28f 100755 --- a/web/.husky/pre-commit +++ b/web/.husky/pre-commit @@ -1,6 +1,3 @@ -#!/usr/bin/env bash -. "$(dirname -- "$0")/_/husky.sh" - # get the list of modified files files=$(git diff --cached --name-only) @@ -50,7 +47,7 @@ fi if $web_modified; then echo "Running ESLint on web module" cd ./web || exit 1 - npx lint-staged + lint-staged echo "Running unit tests check" modified_files=$(git diff --cached --name-only -- utils | grep -v '\.spec\.ts$' || true) @@ -63,7 +60,7 @@ if $web_modified; then # check if the test file exists if [ -f "../$test_file" ]; then echo "Detected changes in $file, running corresponding unit tests..." - npm run test "../$test_file" + pnpm run test "../$test_file" if [ $? -ne 0 ]; then echo "Unit tests failed. Please fix the errors before committing." diff --git a/web/.storybook/main.ts b/web/.storybook/main.ts index 74e95821de5714..fecf774e98b784 100644 --- a/web/.storybook/main.ts +++ b/web/.storybook/main.ts @@ -1,19 +1,19 @@ import type { StorybookConfig } from '@storybook/nextjs' const config: StorybookConfig = { - // stories: ['../stories/**/*.mdx', '../stories/**/*.stories.@(js|jsx|mjs|ts|tsx)'], - stories: ['../app/components/**/*.stories.@(js|jsx|mjs|ts|tsx)'], - addons: [ - '@storybook/addon-onboarding', - '@storybook/addon-links', - '@storybook/addon-essentials', - '@chromatic-com/storybook', - '@storybook/addon-interactions', - ], - framework: { - name: '@storybook/nextjs', - options: {}, - }, - staticDirs: ['../public'], + // stories: ['../stories/**/*.mdx', '../stories/**/*.stories.@(js|jsx|mjs|ts|tsx)'], + stories: ['../app/components/**/*.stories.@(js|jsx|mjs|ts|tsx)'], + addons: [ + '@storybook/addon-onboarding', + '@storybook/addon-links', + '@storybook/addon-essentials', + '@chromatic-com/storybook', + '@storybook/addon-interactions', + ], + framework: { + name: '@storybook/nextjs', + options: {}, + }, + staticDirs: ['../public'], } export default config diff --git a/web/.storybook/preview.tsx b/web/.storybook/preview.tsx index 49cd24e97483b9..55328602f9e414 100644 --- a/web/.storybook/preview.tsx +++ b/web/.storybook/preview.tsx @@ -1,6 +1,6 @@ import React from 'react' import type { Preview } from '@storybook/react' -import { withThemeByDataAttribute } from '@storybook/addon-themes'; +import { withThemeByDataAttribute } from '@storybook/addon-themes' import I18nServer from '../app/components/i18n-server' import '../app/styles/globals.css' @@ -8,30 +8,30 @@ import '../app/styles/markdown.scss' import './storybook.css' export const decorators = [ - withThemeByDataAttribute({ - themes: { - light: 'light', - dark: 'dark', - }, - defaultTheme: 'light', - attributeName: 'data-theme', - }), - Story => { - return - - - } - ]; + withThemeByDataAttribute({ + themes: { + light: 'light', + dark: 'dark', + }, + defaultTheme: 'light', + attributeName: 'data-theme', + }), + (Story) => { + return + + + }, +] const preview: Preview = { parameters: { - controls: { - matchers: { - color: /(background|color)$/i, - date: /Date$/i, - }, - }, + controls: { + matchers: { + color: /(background|color)$/i, + date: /Date$/i, + }, }, + }, } export default preview diff --git a/web/.vscode/settings.example.json b/web/.vscode/settings.example.json index a2dfe7c6694559..ce5c9d6b0113c9 100644 --- a/web/.vscode/settings.example.json +++ b/web/.vscode/settings.example.json @@ -21,5 +21,6 @@ "editor.defaultFormatter": "vscode.json-language-features" }, "typescript.tsdk": "node_modules/typescript/lib", - "typescript.enablePromptUseWorkspaceTsdk": true + "typescript.enablePromptUseWorkspaceTsdk": true, + "npm.packageManager": "pnpm" } diff --git a/web/Dockerfile b/web/Dockerfile index 6c341fac4e23a3..b5423463abc904 100644 --- a/web/Dockerfile +++ b/web/Dockerfile @@ -6,6 +6,9 @@ LABEL maintainer="takatost@gmail.com" # RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.aliyun.com/g' /etc/apk/repositories RUN apk add --no-cache tzdata +RUN npm install -g pnpm@9.12.2 +ENV PNPM_HOME="/pnpm" +ENV PATH="$PNPM_HOME:$PATH" # install packages @@ -14,12 +17,12 @@ FROM base AS packages WORKDIR /app/web COPY package.json . -COPY yarn.lock . +COPY pnpm-lock.yaml . # if you located in China, you can use taobao registry to speed up -# RUN yarn install --frozen-lockfile --registry https://registry.npmmirror.com/ +# RUN pnpm install --frozen-lockfile --registry https://registry.npmmirror.com/ -RUN yarn install --frozen-lockfile +RUN pnpm install --frozen-lockfile # build resources FROM base AS builder @@ -27,7 +30,8 @@ WORKDIR /app/web COPY --from=packages /app/web/ . COPY . . -RUN yarn build +ENV NODE_OPTIONS="--max-old-space-size=4096" +RUN pnpm build # production stage @@ -38,6 +42,8 @@ ENV EDITION=SELF_HOSTED ENV DEPLOY_ENV=PRODUCTION ENV CONSOLE_API_URL=http://127.0.0.1:5001 ENV APP_API_URL=http://127.0.0.1:5001 +ENV MARKETPLACE_API_URL=http://127.0.0.1:5001 +ENV MARKETPLACE_URL=http://127.0.0.1:5001 ENV PORT=3000 ENV NEXT_TELEMETRY_DISABLED=1 @@ -57,8 +63,7 @@ COPY docker/entrypoint.sh ./entrypoint.sh # global runtime packages -RUN yarn global add pm2 \ - && yarn cache clean \ +RUN pnpm add -g pm2 \ && mkdir /.pm2 \ && chown -R 1001:0 /.pm2 /app/web \ && chmod -R g=u /.pm2 /app/web diff --git a/web/README.md b/web/README.md index ce5239e57ffc35..ddba8ed28a2aaa 100644 --- a/web/README.md +++ b/web/README.md @@ -6,14 +6,12 @@ This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next ### Run by source code -To start the web frontend service, you will need [Node.js v18.x (LTS)](https://nodejs.org/en) and [NPM version 8.x.x](https://www.npmjs.com/) or [Yarn](https://yarnpkg.com/). +To start the web frontend service, you will need [Node.js v18.x (LTS)](https://nodejs.org/en) and [pnpm version 9.12.2](https://pnpm.io). First, install the dependencies: ```bash -npm install -# or -yarn install --frozen-lockfile +pnpm install ``` Then, configure the environment variables. Create a file named `.env.local` in the current directory and copy the contents from `.env.example`. Modify the values of these environment variables according to your requirements: @@ -43,9 +41,7 @@ NEXT_PUBLIC_SENTRY_DSN= Finally, run the development server: ```bash -npm run dev -# or -yarn dev +pnpm run dev ``` Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. @@ -59,19 +55,19 @@ You can start editing the file under folder `app`. The page auto-updates as you First, build the app for production: ```bash -npm run build +pnpm run build ``` Then, start the server: ```bash -npm run start +pnpm run start ``` If you want to customize the host and port: ```bash -npm run start --port=3001 --host=0.0.0.0 +pnpm run start --port=3001 --host=0.0.0.0 ``` ## Storybook @@ -81,7 +77,7 @@ This project uses [Storybook](https://storybook.js.org/) for UI component develo To start the storybook server, run: ```bash -yarn storybook +pnpm storybook ``` Open [http://localhost:6006](http://localhost:6006) with your browser to see the result. @@ -99,7 +95,7 @@ You can create a test file with a suffix of `.spec` beside the file that to be t Run test: ```bash -npm run test +pnpm run test ``` If you are not familiar with writing tests, here is some code to refer to: diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx index 41011207032beb..a4ee3922d91766 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/develop/page.tsx @@ -1,5 +1,5 @@ import React from 'react' -import { type Locale } from '@/i18n' +import type { Locale } from '@/i18n' import DevelopMain from '@/app/components/develop' export type IDevelopProps = { diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx index 406a6642be9e6a..69a423ab21c005 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/layout.tsx @@ -106,6 +106,7 @@ const AppDetailLayout: FC = (props) => { // if ((appDetail.mode === 'advanced-chat' || appDetail.mode === 'workflow') && (pathname).endsWith('workflow')) // setAppSiderbarExpand('collapse') } + // eslint-disable-next-line react-hooks/exhaustive-deps }, [appDetail, isMobile]) useEffect(() => { diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx index bb1e4fd95bd10e..00f11900452009 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/chartView.tsx @@ -46,7 +46,7 @@ export default function ChartView({ appId }: IChartViewProps) { return (

-
+
{t('appOverview.analysis.title')} ({ value: k, name: t(`appLog.filter.period.${v.name}`) }))} diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx index 137c2c36ee750f..47dd36eb812fb6 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/page.tsx @@ -12,7 +12,7 @@ const Overview = async ({ params: { appId }, }: IDevelopProps) => { return ( -
+
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx index 977e3f057cf9a5..ca6fa3a9046a8e 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-button.tsx @@ -1,20 +1,18 @@ 'use client' import type { FC } from 'react' import React, { useCallback, useEffect, useRef, useState } from 'react' -import { useTranslation } from 'react-i18next' +import { + RiEqualizer2Line, +} from '@remixicon/react' import type { PopupProps } from './config-popup' import ConfigPopup from './config-popup' import cn from '@/utils/classnames' -import Button from '@/app/components/base/button' -import { Settings04 } from '@/app/components/base/icons/src/vender/line/general' import { PortalToFollowElem, PortalToFollowElemContent, PortalToFollowElemTrigger, } from '@/app/components/base/portal-to-follow-elem' -const I18N_PREFIX = 'app.tracing' - type Props = { readOnly: boolean className?: string @@ -28,7 +26,6 @@ const ConfigBtn: FC = ({ controlShowPopup, ...popupProps }) => { - const { t } = useTranslation() const [open, doSetOpen] = useState(false) const openRef = useRef(open) const setOpen = useCallback((v: boolean) => { @@ -50,21 +47,6 @@ const ConfigBtn: FC = ({ if (popupProps.readOnly && !hasConfigured) return null - const triggerContent = hasConfigured - ? ( -
- -
- ) - : ( - - ) - return ( = ({ placement='bottom-end' offset={{ mainAxis: 12, - crossAxis: hasConfigured ? 8 : 0, + crossAxis: hasConfigured ? 8 : 49, }} > - {triggerContent} +
+ +
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx index 17f46c258d4ede..d46563c430b813 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx @@ -11,6 +11,8 @@ import ProviderConfigModal from './provider-config-modal' import Indicator from '@/app/components/header/indicator' import Switch from '@/app/components/base/switch' import Tooltip from '@/app/components/base/tooltip' +import Divider from '@/app/components/base/divider' +import cn from '@/utils/classnames' const I18N_PREFIX = 'app.tracing' @@ -79,7 +81,6 @@ const ConfigPopup: FC = ({ className='ml-3' defaultValue={enabled} onChange={onStatusChange} - size='l' disabled={providerAllNotConfigured} /> ) @@ -123,7 +124,7 @@ const ConfigPopup: FC = ({ ) const configuredProviderPanel = () => { - const configuredPanels: ProviderPanel[] = [] + const configuredPanels: any[] = [] if (langSmithConfig) configuredPanels.push(langSmithPanel) @@ -138,7 +139,7 @@ const ConfigPopup: FC = ({ } const moreProviderPanel = () => { - const notConfiguredPanels: ProviderPanel[] = [] + const notConfiguredPanels: any[] = [] if (!langSmithConfig) notConfiguredPanels.push(langSmithPanel) @@ -161,15 +162,15 @@ const ConfigPopup: FC = ({ } return ( -
+
-
{t(`${I18N_PREFIX}.tracing`)}
+
{t(`${I18N_PREFIX}.tracing`)}
-
+
{t(`${I18N_PREFIX}.${enabled ? 'enabled' : 'disabled'}`)}
{!readOnly && ( @@ -185,19 +186,18 @@ const ConfigPopup: FC = ({ : switchContent} )} -
-
+
{t(`${I18N_PREFIX}.tracingDescription`)}
-
-
+ +
{(providerAllConfigured || providerAllNotConfigured) ? ( <> -
{t(`${I18N_PREFIX}.configProviderTitle.${providerAllConfigured ? 'configured' : 'notConfigured'}`)}
+
{t(`${I18N_PREFIX}.configProviderTitle.${providerAllConfigured ? 'configured' : 'notConfigured'}`)}
{langSmithPanel} {langfusePanel} @@ -207,11 +207,11 @@ const ConfigPopup: FC = ({ ) : ( <> -
{t(`${I18N_PREFIX}.configProviderTitle.configured`)}
+
{t(`${I18N_PREFIX}.configProviderTitle.configured`)}
{configuredProviderPanel()}
-
{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}
+
{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}
{moreProviderPanel()}
diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx index 87c84948be6a24..84c48a6dde1146 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/field.tsx @@ -26,7 +26,7 @@ const Field: FC = ({ return (
-
{label}
+
{label}
{isRequired && *}
+
{t('common.appMenus.overview')}
) @@ -102,7 +106,7 @@ const Panel: FC = () => { const { tracing_config } = await doFetchTracingConfig({ appId, provider }) if (provider === TracingProvider.langSmith) setLangSmithConfig(tracing_config as LangSmithConfig) - else if (provider === TracingProvider.langSmith) + else if (provider === TracingProvider.langfuse) setLangFuseConfig(tracing_config as LangFuseConfig) else if (provider === TracingProvider.opik) setOpikConfig(tracing_config as OpikConfig) @@ -111,7 +115,7 @@ const Panel: FC = () => { const handleTracingConfigRemoved = (provider: TracingProvider) => { if (provider === TracingProvider.langSmith) setLangSmithConfig(null) - else if (provider === TracingProvider.langSmith) + else if (provider === TracingProvider.langfuse) setLangFuseConfig(null) else if (provider === TracingProvider.opik) setOpikConfig(null) @@ -151,46 +155,72 @@ const Panel: FC = () => { return (
- <div className='flex items-center p-2 rounded-xl border-[0.5px] border-gray-200 shadow-xs cursor-pointer hover:bg-gray-100' onClick={showPopup}> - {!inUseTracingProvider - ? <> - <TracingIcon size='md' className='mr-2' /> - <div className='leading-5 text-sm font-semibold text-gray-700'>{t(`${I18N_PREFIX}.title`)}</div> - </> - : <InUseProviderIcon className='ml-1 h-4' />} - - {hasConfiguredTracing && ( - <div className='ml-4 mr-1 flex items-center'> - <Indicator color={enabled ? 'green' : 'gray'} /> - <div className='ml-1.5 text-xs font-semibold text-gray-500 uppercase'> - {t(`${I18N_PREFIX}.${enabled ? 'enabled' : 'disabled'}`)} + <div + className={cn( + 'flex items-center p-2 rounded-xl bg-background-default-dodge border-t border-l-[0.5px] border-effects-highlight shadow-xs cursor-pointer hover:bg-background-default-lighter hover:border-effects-highlight-lightmode-off', + controlShowPopup && 'bg-background-default-lighter border-effects-highlight-lightmode-off', + )} + onClick={showPopup} + > + {!inUseTracingProvider && ( + <> + <TracingIcon size='md' /> + <div className='mx-2 system-sm-semibold text-text-secondary'>{t(`${I18N_PREFIX}.title`)}</div> + <div className='flex items-center' onClick={e => e.stopPropagation()}> + <ConfigButton + appId={appId} + readOnly={readOnly} + hasConfigured={false} + enabled={enabled} + onStatusChange={handleTracingEnabledChange} + chosenProvider={inUseTracingProvider} + onChooseProvider={handleChooseProvider} + langSmithConfig={langSmithConfig} + langFuseConfig={langFuseConfig} + opikConfig={opikConfig} + onConfigUpdated={handleTracingConfigUpdated} + onConfigRemoved={handleTracingConfigRemoved} + controlShowPopup={controlShowPopup} + /> </div> - </div> + <Divider type='vertical' className='h-3.5' /> + <div className='p-1 rounded-md'> + <RiArrowDownDoubleLine className='w-4 h-4 text-text-tertiary' /> + </div> + </> )} - {hasConfiguredTracing && ( - <div className='ml-2 w-px h-3.5 bg-gray-200'></div> + <> + <div className='ml-4 mr-1 flex items-center'> + <Indicator color={enabled ? 'green' : 'gray'} /> + <div className='ml-1.5 system-xs-semibold-uppercase text-text-tertiary'> + {t(`${I18N_PREFIX}.${enabled ? 'enabled' : 'disabled'}`)} + </div> + </div> + <InUseProviderIcon className='ml-1 h-4' /> + <Divider type='vertical' className='h-3.5' /> + <div className='flex items-center' onClick={e => e.stopPropagation()}> + <ConfigButton + appId={appId} + readOnly={readOnly} + hasConfigured + className='ml-2' + enabled={enabled} + onStatusChange={handleTracingEnabledChange} + chosenProvider={inUseTracingProvider} + onChooseProvider={handleChooseProvider} + langSmithConfig={langSmithConfig} + langFuseConfig={langFuseConfig} + opikConfig={opikConfig} + onConfigUpdated={handleTracingConfigUpdated} + onConfigRemoved={handleTracingConfigRemoved} + controlShowPopup={controlShowPopup} + /> + </div> + </> )} - <div className='flex items-center' onClick={e => e.stopPropagation()}> - <ConfigButton - appId={appId} - readOnly={readOnly} - hasConfigured - className='ml-2' - enabled={enabled} - onStatusChange={handleTracingEnabledChange} - chosenProvider={inUseTracingProvider} - onChooseProvider={handleChooseProvider} - langSmithConfig={langSmithConfig} - langFuseConfig={langFuseConfig} - opikConfig={opikConfig} - onConfigUpdated={handleTracingConfigUpdated} - onConfigRemoved={handleTracingConfigRemoved} - controlShowPopup={controlShowPopup} - /> - </div> - </div> - </div> + </div > + </div > ) } export default React.memo(Panel) diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx index b813e9b1344109..e6a520648f4e81 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx @@ -17,6 +17,7 @@ import { LinkExternal02 } from '@/app/components/base/icons/src/vender/line/gene import Confirm from '@/app/components/base/confirm' import { addTracingConfig, removeTracingConfig, updateTracingConfig } from '@/service/apps' import Toast from '@/app/components/base/toast' +import Divider from '@/app/components/base/divider' type Props = { appId: string @@ -122,7 +123,8 @@ const ProviderConfigModal: FC<Props> = ({ } if (type === TracingProvider.opik) { - const postData = config as OpikConfig + // todo: check field validity + // const postData = config as OpikConfig } return errorMessage @@ -166,11 +168,11 @@ const ProviderConfigModal: FC<Props> = ({ ? ( <PortalToFollowElem open> <PortalToFollowElemContent className='w-full h-full z-[60]'> - <div className='fixed inset-0 flex items-center justify-center bg-black/[.25]'> - <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-white shadow-xl rounded-2xl overflow-y-auto'> + <div className='fixed inset-0 flex items-center justify-center bg-background-overlay'> + <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-components-panel-bg shadow-xl rounded-2xl overflow-y-auto'> <div className='px-8 pt-8'> <div className='flex justify-between items-center mb-4'> - <div className='text-xl font-semibold text-gray-900'>{t(`${I18N_PREFIX}.title`)}{t(`app.tracing.${type}.title`)}</div> + <div className='title-2xl-semibold text-text-primary'>{t(`${I18N_PREFIX}.title`)}{t(`app.tracing.${type}.title`)}</div> </div> <div className='space-y-4'> @@ -276,16 +278,16 @@ const ProviderConfigModal: FC<Props> = ({ {isEdit && ( <> <Button - className='h-9 text-sm font-medium text-gray-700' + className='h-9 text-sm font-medium text-text-secondary' onClick={showRemoveConfirm} > <span className='text-[#D92D20]'>{t('common.operation.remove')}</span> </Button> - <div className='mx-3 w-px h-[18px] bg-gray-200'></div> + <Divider className='mx-3 h-[18px]' /> </> )} <Button - className='mr-2 h-9 text-sm font-medium text-gray-700' + className='mr-2 h-9 text-sm font-medium text-text-secondary' onClick={onCancel} > {t('common.operation.cancel')} @@ -302,9 +304,9 @@ const ProviderConfigModal: FC<Props> = ({ </div> </div> - <div className='border-t-[0.5px] border-t-black/5'> - <div className='flex justify-center items-center py-3 bg-gray-50 text-xs text-gray-500'> - <Lock01 className='mr-1 w-3 h-3 text-gray-500' /> + <div className='border-t-[0.5px] border-divider-regular'> + <div className='flex justify-center items-center py-3 bg-background-section-burn text-xs text-text-tertiary'> + <Lock01 className='mr-1 w-3 h-3 text-text-tertiary' /> {t('common.modelProvider.encrypted.front')} <a className='text-primary-600 mx-1' diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx index 34e5bbeb0fbb06..36221357a4af38 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx @@ -1,11 +1,13 @@ 'use client' import type { FC } from 'react' import React, { useCallback } from 'react' +import { + RiEqualizer2Line, +} from '@remixicon/react' import { useTranslation } from 'react-i18next' import { TracingProvider } from './type' import cn from '@/utils/classnames' import { LangfuseIconBig, LangsmithIconBig, OpikIconBig } from '@/app/components/base/icons/src/public/tracing' -import { Settings04 } from '@/app/components/base/icons/src/vender/line/general' import { Eye as View } from '@/app/components/base/icons/src/vender/solid/general' const I18N_PREFIX = 'app.tracing' @@ -62,34 +64,37 @@ const ProviderPanel: FC<Props> = ({ }, [hasConfigured, isChosen, onChoose, readOnly]) return ( <div - className={cn(isChosen ? 'border-primary-400' : 'border-transparent', !isChosen && hasConfigured && !readOnly && 'cursor-pointer', 'px-4 py-3 rounded-xl border-[1.5px] bg-gray-100')} + className={cn( + 'px-4 py-3 rounded-xl border-[1.5px] bg-background-section-burn', + isChosen ? 'bg-background-section border-components-option-card-option-selected-border' : 'border-transparent', + !isChosen && hasConfigured && !readOnly && 'cursor-pointer', + )} onClick={handleChosen} > <div className={'flex justify-between items-center space-x-1'}> <div className='flex items-center'> <Icon className='h-6' /> - {isChosen && <div className='ml-1 flex items-center h-4 px-1 rounded-[4px] border border-primary-500 leading-4 text-xs font-medium text-primary-500 uppercase '>{t(`${I18N_PREFIX}.inUse`)}</div>} + {isChosen && <div className='ml-1 flex items-center h-4 px-1 rounded-[4px] border border-text-accent-secondary system-2xs-medium-uppercase text-text-accent-secondary'>{t(`${I18N_PREFIX}.inUse`)}</div>} </div> {!readOnly && ( <div className={'flex justify-between items-center space-x-1'}> {hasConfigured && ( - <div className='flex px-2 items-center h-6 bg-white rounded-md border-[0.5px] border-gray-200 shadow-xs cursor-pointer text-gray-700 space-x-1' onClick={viewBtnClick} > - <View className='w-3 h-3'/> + <div className='flex px-2 items-center h-6 bg-components-button-secondary-bg rounded-md border-[0.5px] border-components-button-secondary-border shadow-xs cursor-pointer text-text-secondary space-x-1' onClick={viewBtnClick} > + <View className='w-3 h-3' /> <div className='text-xs font-medium'>{t(`${I18N_PREFIX}.view`)}</div> </div> )} <div - className='flex px-2 items-center h-6 bg-white rounded-md border-[0.5px] border-gray-200 shadow-xs cursor-pointer text-gray-700 space-x-1' + className='flex px-2 items-center h-6 bg-components-button-secondary-bg rounded-md border-[0.5px] border-components-button-secondary-border shadow-xs cursor-pointer text-text-secondary space-x-1' onClick={handleConfigBtnClick} > - <Settings04 className='w-3 h-3' /> + <RiEqualizer2Line className='w-3 h-3' /> <div className='text-xs font-medium'>{t(`${I18N_PREFIX}.config`)}</div> </div> </div> )} - </div> - <div className='mt-2 leading-4 text-xs font-normal text-gray-500'> + <div className='mt-2 system-xs-regular text-text-tertiary'> {t(`${I18N_PREFIX}.${type}.description`)} </div> </div> diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx deleted file mode 100644 index 934eb681b9c85e..00000000000000 --- a/web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/toggle-fold-btn.tsx +++ /dev/null @@ -1,45 +0,0 @@ -'use client' -import { ChevronDoubleDownIcon } from '@heroicons/react/20/solid' -import type { FC } from 'react' -import { useTranslation } from 'react-i18next' -import React, { useCallback } from 'react' -import Tooltip from '@/app/components/base/tooltip' - -const I18N_PREFIX = 'app.tracing' - -type Props = { - isFold: boolean - onFoldChange: (isFold: boolean) => void -} - -const ToggleFoldBtn: FC<Props> = ({ - isFold, - onFoldChange, -}) => { - const { t } = useTranslation() - - const handleFoldChange = useCallback((e: React.MouseEvent<HTMLDivElement>) => { - e.stopPropagation() - onFoldChange(!isFold) - }, [isFold, onFoldChange]) - return ( - // text-[0px] to hide spacing between tooltip elements - <div className='shrink-0 cursor-pointer text-[0px]' onClick={handleFoldChange}> - <Tooltip - popupContent={t(`${I18N_PREFIX}.${isFold ? 'expand' : 'collapse'}`)} - > - {isFold && ( - <div className='p-1 rounded-md text-gray-500 hover:text-gray-800 hover:bg-black/5'> - <ChevronDoubleDownIcon className='w-4 h-4' /> - </div> - )} - {!isFold && ( - <div className='p-2 rounded-lg text-gray-500 border-[0.5px] border-gray-200 hover:text-gray-800 hover:bg-black/5'> - <ChevronDoubleDownIcon className='w-4 h-4 transform rotate-180' /> - </div> - )} - </Tooltip> - </div> - ) -} -export default React.memo(ToggleFoldBtn) diff --git a/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx b/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx index 211b0b3677125c..dda198fc8962e3 100644 --- a/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx +++ b/web/app/(commonLayout)/app/(appDetailLayout)/layout.tsx @@ -15,6 +15,7 @@ const AppDetail: FC<IAppDetail> = ({ children }) => { useEffect(() => { if (isCurrentWorkspaceDatasetOperator) return router.replace('/datasets') + // eslint-disable-next-line react-hooks/exhaustive-deps }, [isCurrentWorkspaceDatasetOperator]) return ( diff --git a/web/app/(commonLayout)/apps/AppCard.tsx b/web/app/(commonLayout)/apps/AppCard.tsx index dabe75ee625a7e..e7e12518978a58 100644 --- a/web/app/(commonLayout)/apps/AppCard.tsx +++ b/web/app/(commonLayout)/apps/AppCard.tsx @@ -71,6 +71,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { }) } setShowConfirmDelete(false) + // eslint-disable-next-line react-hooks/exhaustive-deps }, [app.id]) const onEdit: CreateAppModalProps['onConfirm'] = useCallback(async ({ @@ -100,7 +101,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { onRefresh() mutateApps() } - catch (e) { + catch { notify({ type: 'error', message: t('app.editFailed') }) } }, [app.id, mutateApps, notify, onRefresh, t]) @@ -127,7 +128,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { onPlanInfoChanged() getRedirection(isCurrentWorkspaceEditor, newApp, push) } - catch (e) { + catch { notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } } @@ -144,7 +145,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { a.download = `${app.name}.yml` a.click() } - catch (e) { + catch { notify({ type: 'error', message: t('app.exportFailed') }) } } @@ -163,7 +164,7 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { } setSecretEnvList(list) } - catch (e) { + catch { notify({ type: 'error', message: t('app.exportFailed') }) } } diff --git a/web/app/(commonLayout)/datasets/ApiServer.tsx b/web/app/(commonLayout)/datasets/ApiServer.tsx index 0ed2663088d483..82d96c198748f7 100644 --- a/web/app/(commonLayout)/datasets/ApiServer.tsx +++ b/web/app/(commonLayout)/datasets/ApiServer.tsx @@ -30,7 +30,7 @@ const ApiServer: FC<ApiServerProps> = ({ {t('appApi.ok')} </div> <SecretKeyButton - className='flex-shrink-0 !h-8 bg-white' + className='shrink-0 !h-8 bg-white' /> </div> ) diff --git a/web/app/(commonLayout)/datasets/Doc.tsx b/web/app/(commonLayout)/datasets/Doc.tsx index f7a7e8b063f1bd..f56a5bc9091fc5 100644 --- a/web/app/(commonLayout)/datasets/Doc.tsx +++ b/web/app/(commonLayout)/datasets/Doc.tsx @@ -78,7 +78,7 @@ const Doc = ({ apiBaseUrl }: DocProps) => { onClick={() => setIsTocExpanded(false)} className="text-gray-500 hover:text-gray-700" > - ✕ + ✕ </button> </div> <ul className="space-y-2"> diff --git a/web/app/(commonLayout)/plugins/page.tsx b/web/app/(commonLayout)/plugins/page.tsx new file mode 100644 index 00000000000000..a3066311b2bf0c --- /dev/null +++ b/web/app/(commonLayout)/plugins/page.tsx @@ -0,0 +1,20 @@ +import PluginPage from '@/app/components/plugins/plugin-page' +import PluginsPanel from '@/app/components/plugins/plugin-page/plugins-panel' +import Marketplace from '@/app/components/plugins/marketplace' +import { getLocaleOnServer } from '@/i18n/server' + +const PluginList = async () => { + const locale = await getLocaleOnServer() + return ( + <PluginPage + plugins={<PluginsPanel />} + marketplace={<Marketplace locale={locale} pluginTypeSwitchClassName='top-[60px]' searchBoxAutoAnimate={false} />} + /> + ) +} + +export const metadata = { + title: 'Plugins - Dify', +} + +export default PluginList diff --git a/web/app/account/avatar.tsx b/web/app/account/avatar.tsx index 47e8e757471978..bd9cbec4c40d6c 100644 --- a/web/app/account/avatar.tsx +++ b/web/app/account/avatar.tsx @@ -8,7 +8,7 @@ import { logout } from '@/service/common' import { useAppContext } from '@/context/app-context' import { LogOut01 } from '@/app/components/base/icons/src/vender/line/general' -export type IAppSelector = { +export interface IAppSelector { isMobile: boolean } diff --git a/web/app/components/app-sidebar/basic.tsx b/web/app/components/app-sidebar/basic.tsx index 6600920ba7234b..6d56f6ad863174 100644 --- a/web/app/components/app-sidebar/basic.tsx +++ b/web/app/components/app-sidebar/basic.tsx @@ -60,12 +60,12 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type return ( <div className="flex items-center grow"> {icon && icon_background && iconType === 'app' && ( - <div className='flex-shrink-0 mr-3'> + <div className='shrink-0 mr-3'> <AppIcon icon={icon} background={icon_background} /> </div> )} {iconType !== 'app' - && <div className='flex-shrink-0 mr-3'> + && <div className='shrink-0 mr-3'> {ICON_MAP[iconType]} </div> diff --git a/web/app/components/app/annotation/filter.tsx b/web/app/components/app/annotation/filter.tsx index d741f6de123980..2f1cde22e41304 100644 --- a/web/app/components/app/annotation/filter.tsx +++ b/web/app/components/app/annotation/filter.tsx @@ -6,11 +6,11 @@ import useSWR from 'swr' import Input from '@/app/components/base/input' import { fetchAnnotationsCount } from '@/service/log' -export type QueryParam = { +export interface QueryParam { keyword?: string } -type IFilterProps = { +interface IFilterProps { appId: string queryParams: QueryParam setQueryParams: (v: QueryParam) => void diff --git a/web/app/components/app/annotation/list.tsx b/web/app/components/app/annotation/list.tsx index 39a495085eb52e..8944c04851f0e2 100644 --- a/web/app/components/app/annotation/list.tsx +++ b/web/app/components/app/annotation/list.tsx @@ -9,7 +9,7 @@ import ActionButton from '@/app/components/base/action-button' import useTimestamp from '@/hooks/use-timestamp' import cn from '@/utils/classnames' -type Props = { +interface Props { list: AnnotationItem[] onRemove: (id: string) => void onView: (item: AnnotationItem) => void diff --git a/web/app/components/app/app-publisher/index.tsx b/web/app/components/app/app-publisher/index.tsx index 3ba35a73369d37..a2260a889d49c9 100644 --- a/web/app/components/app/app-publisher/index.tsx +++ b/web/app/components/app/app-publisher/index.tsx @@ -143,22 +143,19 @@ const AppPublisher = ({ </Button> </PortalToFollowElemTrigger> <PortalToFollowElemContent className='z-[11]'> - <div className='w-[336px] bg-white rounded-2xl border-[0.5px] border-gray-200 shadow-xl'> + <div className='w-[336px] bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl'> <div className='p-4 pt-3'> - <div className='flex items-center h-6 text-xs font-medium text-gray-500 uppercase'> + <div className='flex items-center h-6 system-xs-medium-uppercase text-text-tertiary'> {publishedAt ? t('workflow.common.latestPublished') : t('workflow.common.currentDraftUnpublished')} </div> {publishedAt ? ( <div className='flex justify-between items-center h-[18px]'> - <div className='flex items-center mt-[3px] mb-[3px] leading-[18px] text-[13px] font-medium text-gray-700'> + <div className='flex items-center mt-[3px] mb-[3px] leading-[18px] text-[13px] font-medium text-text-secondary'> {t('workflow.common.publishedAt')} {formatTimeFromNow(publishedAt)} </div> <Button - className={` - ml-2 px-2 text-primary-600 - ${published && 'text-primary-300 border-gray-100'} - `} + variant='secondary-accent' size='small' onClick={handleRestore} disabled={published} @@ -168,7 +165,7 @@ const AppPublisher = ({ </div> ) : ( - <div className='flex items-center h-[18px] leading-[18px] text-[13px] font-medium text-gray-700'> + <div className='flex items-center h-[18px] leading-[18px] text-[13px] font-medium text-text-secondary'> {t('workflow.common.autoSaved')} · {Boolean(draftUpdatedAt) && formatTimeFromNow(draftUpdatedAt!)} </div> )} @@ -196,7 +193,7 @@ const AppPublisher = ({ ) } </div> - <div className='p-4 pt-3 border-t-[0.5px] border-t-black/5'> + <div className='p-4 pt-3 border-t-[0.5px] border-divider-regular'> <SuggestedAction disabled={!publishedAt} link={appURL} icon={<PlayCircle />}>{t('workflow.common.runApp')}</SuggestedAction> {appDetail?.mode === 'workflow' ? ( diff --git a/web/app/components/app/app-publisher/publish-with-multiple-model.tsx b/web/app/components/app/app-publisher/publish-with-multiple-model.tsx index 6d96faeaa54191..8dd728442c23d1 100644 --- a/web/app/components/app/app-publisher/publish-with-multiple-model.tsx +++ b/web/app/components/app/app-publisher/publish-with-multiple-model.tsx @@ -77,21 +77,21 @@ const PublishWithMultipleModel: FC<PublishWithMultipleModelProps> = ({ </Button> </PortalToFollowElemTrigger> <PortalToFollowElemContent className='mt-1 w-[288px] z-50'> - <div className='p-1 rounded-lg border-[0.5px] border-gray-200 shadow-lg bg-white'> - <div className='flex items-center px-3 h-[22px] text-xs font-medium text-gray-500'> + <div className='p-1 rounded-lg border-[0.5px] border-components-panel-border shadow-lg bg-components-panel-bg'> + <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'> {t('appDebug.publishAs')} </div> { validModelConfigs.map((item, index) => ( <div key={item.id} - className='flex items-center h-8 px-3 text-sm text-gray-500 rounded-lg cursor-pointer hover:bg-gray-100' + className='flex items-center h-8 px-3 text-sm text-text-tertiary rounded-lg cursor-pointer hover:bg-state-base-hover' onClick={() => handleSelect(item)} > <span className='italic min-w-[18px]'>#{index + 1}</span> <ModelIcon modelName={item.model} provider={item.providerItem} className='ml-2' /> <div - className='ml-1 text-gray-700 truncate' + className='ml-1 text-text-secondary truncate' title={item.modelItem.label[language]} > {item.modelItem.label[language]} diff --git a/web/app/components/app/app-publisher/suggested-action.tsx b/web/app/components/app/app-publisher/suggested-action.tsx index a371eafde0fc94..6099b2e7bb1c5a 100644 --- a/web/app/components/app/app-publisher/suggested-action.tsx +++ b/web/app/components/app/app-publisher/suggested-action.tsx @@ -14,8 +14,8 @@ const SuggestedAction = ({ icon, link, disabled, children, className, ...props } target='_blank' rel='noreferrer' className={classNames( - 'flex justify-start items-center gap-2 h-[34px] px-2.5 bg-gray-100 rounded-lg transition-colors [&:not(:first-child)]:mt-1', - disabled ? 'shadow-xs opacity-30 cursor-not-allowed' : 'hover:bg-primary-50 hover:text-primary-600 cursor-pointer', + 'flex justify-start items-center gap-2 h-[34px] px-2.5 bg-background-section-burn rounded-lg transition-colors text-text-secondary [&:not(:first-child)]:mt-1', + disabled ? 'shadow-xs opacity-30 cursor-not-allowed' : 'hover:bg-state-accent-hover hover:text-text-accent cursor-pointer', className, )} {...props} diff --git a/web/app/components/app/configuration/base/feature-panel/index.tsx b/web/app/components/app/configuration/base/feature-panel/index.tsx index 9c4adbdd2de2eb..2ee0ae0d69e427 100644 --- a/web/app/components/app/configuration/base/feature-panel/index.tsx +++ b/web/app/components/app/configuration/base/feature-panel/index.tsx @@ -23,7 +23,7 @@ const FeaturePanel: FC<IFeaturePanelProps> = ({ children, }) => { return ( - <div className={cn('rounded-xl border-t-[0.5px] border-l-[0.5px] bg-background-section-burn pb-3', noBodySpacing && '!pb-0', className)}> + <div className={cn('rounded-xl border-t-[0.5px] border-l-[0.5px] border-effects-highlight bg-background-section-burn pb-3', noBodySpacing && 'pb-0', className)}> {/* Header */} <div className={cn('px-3 pt-2', hasHeaderBottomBorder && 'border-b border-divider-subtle')}> <div className='flex justify-between items-center h-8'> diff --git a/web/app/components/app/configuration/base/operation-btn/index.tsx b/web/app/components/app/configuration/base/operation-btn/index.tsx index e9ffd14257ab3a..7a0c8892ea7239 100644 --- a/web/app/components/app/configuration/base/operation-btn/index.tsx +++ b/web/app/components/app/configuration/base/operation-btn/index.tsx @@ -2,7 +2,10 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { PlusIcon } from '@heroicons/react/20/solid' +import { + RiAddLine, + RiEditLine, +} from '@remixicon/react' import cn from '@/utils/classnames' export type IOperationBtnProps = { @@ -13,11 +16,8 @@ export type IOperationBtnProps = { } const iconMap = { - add: <PlusIcon className='w-3.5 h-3.5' />, - edit: (<svg width="14" height="14" viewBox="0 0 14 14" fill="none" xmlns="http://www.w3.org/2000/svg"> - <path d="M6.99998 11.6666H12.25M1.75 11.6666H2.72682C3.01217 11.6666 3.15485 11.6666 3.28912 11.6344C3.40816 11.6058 3.52196 11.5587 3.62635 11.4947C3.74408 11.4226 3.84497 11.3217 4.04675 11.1199L11.375 3.79164C11.8583 3.30839 11.8583 2.52488 11.375 2.04164C10.8918 1.55839 10.1083 1.55839 9.62501 2.04164L2.29674 9.3699C2.09496 9.57168 1.99407 9.67257 1.92192 9.7903C1.85795 9.89469 1.81081 10.0085 1.78224 10.1275C1.75 10.2618 1.75 10.4045 1.75 10.6898V11.6666Z" stroke="#344054" strokeWidth="1.25" strokeLinecap="round" strokeLinejoin="round" /> - </svg> - ), + add: <RiAddLine className='w-3.5 h-3.5' />, + edit: <RiEditLine className='w-3.5 h-3.5' />, } const OperationBtn: FC<IOperationBtnProps> = ({ @@ -29,7 +29,7 @@ const OperationBtn: FC<IOperationBtnProps> = ({ const { t } = useTranslation() return ( <div - className={cn(className, 'flex items-center rounded-md h-7 px-3 space-x-1 text-gray-700 cursor-pointer hover:bg-gray-200 select-none')} + className={cn('flex items-center rounded-md h-7 px-3 space-x-1 text-text-secondary cursor-pointer hover:bg-state-base-hover select-none', className)} onClick={onClick}> <div> {iconMap[type]} diff --git a/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx b/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx index 87b811f637482e..e0ef97e2475175 100644 --- a/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx +++ b/web/app/components/app/configuration/config-prompt/conversation-history/edit-modal.tsx @@ -28,8 +28,8 @@ const EditModal: FC<Props> = ({ isShow={isShow} onClose={onClose} > - <div className={'mt-6 font-medium text-sm leading-[21px] text-gray-900'}>{t('appDebug.feature.conversationHistory.editModal.userPrefix')}</div> - <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-gray-100'} + <div className={'mt-6 font-medium text-sm leading-[21px] text-text-primary'}>{t('appDebug.feature.conversationHistory.editModal.userPrefix')}</div> + <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-components-input-bg-normal'} value={tempData.user_prefix} onChange={e => setTempData({ ...tempData, @@ -37,8 +37,8 @@ const EditModal: FC<Props> = ({ })} /> - <div className={'mt-6 font-medium text-sm leading-[21px] text-gray-900'}>{t('appDebug.feature.conversationHistory.editModal.assistantPrefix')}</div> - <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-gray-100'} + <div className={'mt-6 font-medium text-sm leading-[21px] text-text-primary'}>{t('appDebug.feature.conversationHistory.editModal.assistantPrefix')}</div> + <input className={'mt-2 w-full rounded-lg h-10 box-border px-3 text-sm leading-10 bg-components-input-bg-normal'} value={tempData.assistant_prefix} onChange={e => setTempData({ ...tempData, @@ -48,8 +48,8 @@ const EditModal: FC<Props> = ({ /> <div className='mt-10 flex justify-end'> - <Button className='mr-2 flex-shrink-0' onClick={onClose}>{t('common.operation.cancel')}</Button> - <Button variant='primary' className='flex-shrink-0' onClick={() => onSave(tempData)} loading={saveLoading}>{t('common.operation.save')}</Button> + <Button className='mr-2 shrink-0' onClick={onClose}>{t('common.operation.cancel')}</Button> + <Button variant='primary' className='shrink-0' onClick={() => onSave(tempData)} loading={saveLoading}>{t('common.operation.save')}</Button> </div> </Modal> ) diff --git a/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx b/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx index 199f9598a4484b..5a06111eac8953 100644 --- a/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx +++ b/web/app/components/app/configuration/config-prompt/conversation-history/history-panel.tsx @@ -30,20 +30,20 @@ const HistoryPanel: FC<Props> = ({ </div> } headerIcon={ - <div className='p-1 rounded-md bg-white shadow-xs'> + <div className='p-1 rounded-md shadow-xs'> <MessageClockCircle className='w-4 h-4 text-[#DD2590]' /> </div>} headerRight={ <div className='flex items-center'> - <div className='text-xs text-gray-500'>{t('appDebug.feature.conversationHistory.description')}</div> - <div className='ml-3 w-[1px] h-[14px] bg-gray-200'></div> + <div className='text-xs text-text-tertiary'>{t('appDebug.feature.conversationHistory.description')}</div> + <div className='ml-3 w-[1px] h-[14px] bg-divider-regular'></div> <OperationBtn type="edit" onClick={onShowEditModal} /> </div> } noBodySpacing > {showWarning && ( - <div className='flex justify-between py-2 px-3 rounded-b-xl bg-[#FFFAEB] text-xs text-gray-700'> + <div className='flex justify-between py-2 px-3 rounded-b-xl bg-background-section-burn text-xs text-text-secondary'> <div>{t('appDebug.feature.conversationHistory.tip')} <a href={`${locale === LanguagesSupported[1] ? 'https://docs.dify.ai/v/zh-hans/guides/application-design/prompt-engineering' diff --git a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx index cf65e3522d6ac3..19870136988294 100644 --- a/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx +++ b/web/app/components/app/configuration/config-prompt/simple-prompt-input.tsx @@ -9,7 +9,7 @@ import ConfirmAddVar from './confirm-add-var' import s from './style.module.css' import PromptEditorHeightResizeWrap from './prompt-editor-height-resize-wrap' import cn from '@/utils/classnames' -import { type PromptVariable } from '@/models/debug' +import type { PromptVariable } from '@/models/debug' import Tooltip from '@/app/components/base/tooltip' import type { CompletionParams } from '@/types/app' import { AppType } from '@/types/app' diff --git a/web/app/components/app/configuration/config-var/config-modal/field.tsx b/web/app/components/app/configuration/config-var/config-modal/field.tsx index 5052f988d75df2..2c8c788e5ec34e 100644 --- a/web/app/components/app/configuration/config-var/config-modal/field.tsx +++ b/web/app/components/app/configuration/config-var/config-modal/field.tsx @@ -3,7 +3,7 @@ import type { FC } from 'react' import React from 'react' import cn from '@/utils/classnames' -type Props = { +interface Props { className?: string title: string children: JSX.Element diff --git a/web/app/components/app/configuration/config-var/config-string/index.tsx b/web/app/components/app/configuration/config-var/config-string/index.tsx index 719ad8ee1313ec..ef3b3d8d4a3590 100644 --- a/web/app/components/app/configuration/config-var/config-string/index.tsx +++ b/web/app/components/app/configuration/config-var/config-string/index.tsx @@ -3,7 +3,7 @@ import type { FC } from 'react' import React, { useEffect } from 'react' import Input from '@/app/components/base/input' -export type IConfigStringProps = { +export interface IConfigStringProps { value: number | undefined maxLength: number modelId: string @@ -28,7 +28,7 @@ const ConfigString: FC<IConfigStringProps> = ({ min={1} value={value || ''} onChange={(e) => { - let value = parseInt(e.target.value, 10) + let value = Number.parseInt(e.target.value, 10) if (value > maxLength) value = maxLength diff --git a/web/app/components/app/configuration/config-var/index.tsx b/web/app/components/app/configuration/config-var/index.tsx index 67bc37385e187f..b579d6695492ac 100644 --- a/web/app/components/app/configuration/config-var/index.tsx +++ b/web/app/components/app/configuration/config-var/index.tsx @@ -3,26 +3,17 @@ import type { FC } from 'react' import React, { useState } from 'react' import { useTranslation } from 'react-i18next' import { useBoolean } from 'ahooks' -import type { Timeout } from 'ahooks/lib/useRequest/src/types' import { useContext } from 'use-context-selector' import produce from 'immer' -import { - RiDeleteBinLine, -} from '@remixicon/react' import Panel from '../base/feature-panel' import EditModal from './config-modal' -import IconTypeIcon from './input-type-icon' -import type { IInputTypeIconProps } from './input-type-icon' -import s from './style.module.css' +import VarItem from './var-item' import SelectVarType from './select-var-type' -import { BracketsX as VarIcon } from '@/app/components/base/icons/src/vender/line/development' import Tooltip from '@/app/components/base/tooltip' import type { PromptVariable } from '@/models/debug' -import { DEFAULT_VALUE_MAX_LEN, getMaxVarNameLength } from '@/config' -import { checkKeys, getNewVar } from '@/utils/var' -import Switch from '@/app/components/base/switch' +import { DEFAULT_VALUE_MAX_LEN } from '@/config' +import { getNewVar } from '@/utils/var' import Toast from '@/app/components/base/toast' -import { Settings01 } from '@/app/components/base/icons/src/vender/line/general' import Confirm from '@/app/components/base/confirm' import ConfigContext from '@/context/debug-configuration' import { AppType } from '@/types/app' @@ -50,8 +41,6 @@ export type IConfigVarProps = { onPromptVariablesChange?: (promptVariables: PromptVariable[]) => void } -let conflictTimer: Timeout - const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVariablesChange }) => { const { t } = useTranslation() const { @@ -61,19 +50,6 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar const { eventEmitter } = useEventEmitterContextContext() const hasVar = promptVariables.length > 0 - const updatePromptVariable = (key: string, updateKey: string, newValue: string | boolean) => { - const newPromptVariables = promptVariables.map((item) => { - if (item.key === key) { - return { - ...item, - [updateKey]: newValue, - } - } - - return item - }) - onPromptVariablesChange?.(newPromptVariables) - } const [currIndex, setCurrIndex] = useState<number>(-1) const currItem = currIndex !== -1 ? promptVariables[currIndex] : null const currItemToEdit: InputVar | null = (() => { @@ -106,55 +82,6 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar onPromptVariablesChange?.(newPromptVariables) } - const updatePromptKey = (index: number, newKey: string) => { - clearTimeout(conflictTimer) - const { isValid, errorKey, errorMessageKey } = checkKeys([newKey], true) - if (!isValid) { - Toast.notify({ - type: 'error', - message: t(`appDebug.varKeyError.${errorMessageKey}`, { key: errorKey }), - }) - return - } - - const newPromptVariables = promptVariables.map((item, i) => { - if (i === index) { - return { - ...item, - key: newKey, - } - } - return item - }) - - conflictTimer = setTimeout(() => { - const isKeyExists = promptVariables.some(item => item.key?.trim() === newKey.trim()) - if (isKeyExists) { - Toast.notify({ - type: 'error', - message: t('appDebug.varKeyError.keyAlreadyExists', { key: newKey }), - }) - } - }, 1000) - - onPromptVariablesChange?.(newPromptVariables) - } - - const updatePromptNameIfNameEmpty = (index: number, newKey: string) => { - if (!newKey) - return - const newPromptVariables = promptVariables.map((item, i) => { - if (i === index && !item.name) { - return { - ...item, - name: newKey, - } - } - return item - }) - - onPromptVariablesChange?.(newPromptVariables) - } const { setShowExternalDataToolModal } = useModalContext() @@ -273,9 +200,6 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar return ( <Panel className="mt-2" - headerIcon={ - <VarIcon className='w-4 h-4 text-primary-500' /> - } title={ <div className='flex items-center'> <div className='mr-1'>{t('appDebug.variableTitle')}</div> @@ -291,87 +215,27 @@ const ConfigVar: FC<IConfigVarProps> = ({ promptVariables, readonly, onPromptVar </div> } headerRight={!readonly ? <SelectVarType onChange={handleAddVar} /> : null} + noBodySpacing > {!hasVar && ( - <div className='pt-2 pb-1 text-xs text-gray-500'>{t('appDebug.notSetVar')}</div> + <div className='mt-1 px-3 pb-3'> + <div className='pt-2 pb-1 text-xs text-text-tertiary'>{t('appDebug.notSetVar')}</div> + </div> )} {hasVar && ( - <div className='rounded-lg border border-gray-200 bg-white overflow-x-auto'> - <table className={`${s.table} min-w-[440px] w-full max-w-full border-collapse border-0 rounded-lg text-sm`}> - <thead className="border-b border-gray-200 text-gray-500 text-xs font-medium"> - <tr className='uppercase'> - <td>{t('appDebug.variableTable.key')}</td> - <td>{t('appDebug.variableTable.name')}</td> - {!readonly && ( - <> - <td>{t('appDebug.variableTable.optional')}</td> - <td>{t('appDebug.variableTable.action')}</td> - </> - )} - - </tr> - </thead> - <tbody className="text-gray-700"> - {promptVariables.map(({ key, name, type, required, config, icon, icon_background }, index) => ( - <tr key={index} className="h-9 leading-9"> - <td className="w-[160px] border-b border-gray-100 pl-3"> - <div className='flex items-center space-x-1'> - <IconTypeIcon type={type as IInputTypeIconProps['type']} className='text-gray-400' /> - {!readonly - ? ( - <input - type="text" - placeholder="key" - value={key} - onChange={e => updatePromptKey(index, e.target.value)} - onBlur={e => updatePromptNameIfNameEmpty(index, e.target.value)} - maxLength={getMaxVarNameLength(name)} - className="h-6 leading-6 block w-full rounded-md border-0 py-1.5 text-gray-900 placeholder:text-gray-400 focus:outline-none focus:ring-1 focus:ring-inset focus:ring-gray-200" - /> - ) - : ( - <div className='h-6 leading-6 text-[13px] text-gray-700'>{key}</div> - )} - </div> - </td> - <td className="py-1 border-b border-gray-100"> - {!readonly - ? ( - <input - type="text" - placeholder={key} - value={name} - onChange={e => updatePromptVariable(key, 'name', e.target.value)} - maxLength={getMaxVarNameLength(name)} - className="h-6 leading-6 block w-full rounded-md border-0 py-1.5 text-gray-900 placeholder:text-gray-400 focus:outline-none focus:ring-1 focus:ring-inset focus:ring-gray-200" - />) - : ( - <div className='h-6 leading-6 text-[13px] text-gray-700'>{name}</div> - )} - </td> - {!readonly && ( - <> - <td className='w-[84px] border-b border-gray-100'> - <div className='flex items-center h-full'> - <Switch defaultValue={!required} size='md' onChange={value => updatePromptVariable(key, 'required', !value)} /> - </div> - </td> - <td className='w-20 border-b border-gray-100'> - <div className='flex h-full items-center space-x-1'> - <div className=' p-1 rounded-md hover:bg-black/5 w-6 h-6 cursor-pointer' onClick={() => handleConfig({ type, key, index, name, config, icon, icon_background })}> - <Settings01 className='w-4 h-4 text-gray-500' /> - </div> - <div className=' p-1 rounded-md hover:bg-black/5 w-6 h-6 cursor-pointer' onClick={() => handleRemoveVar(index)} > - <RiDeleteBinLine className='w-4 h-4 text-gray-500' /> - </div> - </div> - </td> - </> - )} - </tr> - ))} - </tbody> - </table> + <div className='flex flex-wrap mt-1 px-3 pb-3 justify-between'> + {promptVariables.map(({ key, name, type, required, config, icon, icon_background }, index) => ( + <VarItem + key={index} + readonly={readonly} + name={key} + label={name} + required={!!required} + type={type} + onEdit={() => handleConfig({ type, key, index, name, config, icon, icon_background })} + onRemove={() => handleRemoveVar(index)} + /> + ))} </div> )} diff --git a/web/app/components/app/configuration/config-var/select-type-item/index.tsx b/web/app/components/app/configuration/config-var/select-type-item/index.tsx index b71486b4eb99f6..e88b44ce10a647 100644 --- a/web/app/components/app/configuration/config-var/select-type-item/index.tsx +++ b/web/app/components/app/configuration/config-var/select-type-item/index.tsx @@ -27,7 +27,7 @@ const SelectTypeItem: FC<ISelectTypeItemProps> = ({ return ( <div className={cn( - 'flex flex-col justify-center items-center h-[58px] rounded-lg border border-components-option-card-option-border bg-components-option-card-option-bg space-y-1', + 'flex flex-col justify-center items-center h-[58px] rounded-lg border border-components-option-card-option-border bg-components-option-card-option-bg space-y-1 text-text-secondary', selected ? 'border-[1.5px] border-components-option-card-option-selected-border bg-components-option-card-option-selected-bg shadow-xs system-xs-medium' : ' hover:border-components-option-card-option-border-hover hover:bg-components-option-card-option-bg-hover hover:shadow-xs cursor-pointer system-xs-regular')} onClick={onClick} > diff --git a/web/app/components/app/configuration/config-var/style.module.css b/web/app/components/app/configuration/config-var/style.module.css deleted file mode 100644 index 733755d0c8509c..00000000000000 --- a/web/app/components/app/configuration/config-var/style.module.css +++ /dev/null @@ -1,12 +0,0 @@ -.table td { - padding-left: 12px; -} - -.table thead td { - height: 33px; - line-height: 33px; -} - -.table tbody tr:last-child td { - border-bottom: none; -} \ No newline at end of file diff --git a/web/app/components/app/configuration/config-var/var-item.tsx b/web/app/components/app/configuration/config-var/var-item.tsx new file mode 100644 index 00000000000000..d695a09a15fb84 --- /dev/null +++ b/web/app/components/app/configuration/config-var/var-item.tsx @@ -0,0 +1,74 @@ +'use client' +import type { FC } from 'react' +import React, { useState } from 'react' +import { + RiDeleteBinLine, + RiEditLine, +} from '@remixicon/react' +import type { IInputTypeIconProps } from './input-type-icon' +import IconTypeIcon from './input-type-icon' +import { BracketsX as VarIcon } from '@/app/components/base/icons/src/vender/line/development' +import Badge from '@/app/components/base/badge' +import cn from '@/utils/classnames' + +type ItemProps = { + readonly?: boolean + name: string + label: string + required: boolean + type: string + onEdit: () => void + onRemove: () => void +} + +const VarItem: FC<ItemProps> = ({ + readonly, + name, + label, + required, + type, + onEdit, + onRemove, +}) => { + const [isDeleting, setIsDeleting] = useState(false) + + return ( + <div className={cn('group relative flex items-center mb-1 last-of-type:mb-0 pl-2.5 py-2 pr-3 w-full rounded-lg bg-components-panel-on-panel-item-bg border-components-panel-border-subtle border-[0.5px] shadow-xs hover:shadow-sm hover:bg-components-panel-on-panel-item-bg-hover', isDeleting && 'hover:bg-state-destructive-hover border-state-destructive-border', readonly && 'cursor-not-allowed opacity-30')}> + <VarIcon className='shrink-0 mr-1 w-4 h-4 text-text-accent' /> + <div className='grow'> + <div className='flex items-center h-[18px]'> + <div className='grow truncate' title={name}> + <span className='system-sm-medium text-text-secondary'>{name}</span> + <span className='px-1 system-xs-regular text-text-quaternary'>·</span> + <span className='system-xs-medium text-text-tertiary'>{label}</span> + </div> + <div className='group-hover:hidden flex items-center'> + {required && <Badge text='required' />} + <span className='pl-2 pr-1 system-xs-regular text-text-tertiary'>{type}</span> + <IconTypeIcon type={type as IInputTypeIconProps['type']} className='text-text-tertiary' /> + </div> + </div> + </div> + {!readonly && ( + <div className='hidden rounded-lg group-hover:flex items-center justify-end absolute right-0 top-0 bottom-0 pr-2 w-[124px]'> + <div + className='flex items-center justify-center mr-1 w-6 h-6 hover:bg-black/5 rounded-md cursor-pointer' + onClick={onEdit} + > + <RiEditLine className='w-4 h-4 text-text-tertiary' /> + </div> + <div + className='flex items-center justify-center w-6 h-6 text-text-tertiary cursor-pointer hover:text-text-destructive' + onClick={onRemove} + onMouseOver={() => setIsDeleting(true)} + onMouseLeave={() => setIsDeleting(false)} + > + <RiDeleteBinLine className='w-4 h-4' /> + </div> + </div> + )} + </div> + ) +} + +export default VarItem diff --git a/web/app/components/app/configuration/config-vision/index.tsx b/web/app/components/app/configuration/config-vision/index.tsx index f30d3e4a0a688d..dd63b9db64843e 100644 --- a/web/app/components/app/configuration/config-vision/index.tsx +++ b/web/app/components/app/configuration/config-vision/index.tsx @@ -57,7 +57,7 @@ const ConfigVision: FC = () => { return null return ( - <div className='mt-2 flex items-center gap-2 p-2 rounded-xl border-t-[0.5px] border-l-[0.5px] bg-background-section-burn'> + <div className='mt-2 flex items-center gap-2 p-2 rounded-xl border-effects-highlight border-t-[0.5px] border-l-[0.5px] bg-background-section-burn'> <div className='shrink-0 p-1'> <div className='p-1 rounded-lg border-[0.5px] border-divider-subtle shadow-xs bg-util-colors-indigo-indigo-600'> <Vision className='w-4 h-4 text-text-primary-on-surface' /> @@ -99,7 +99,7 @@ const ConfigVision: FC = () => { /> </div> */} <ParamConfig /> - <div className='ml-1 mr-3 w-[1px] h-3.5 bg-divider-subtle'></div> + <div className='ml-1 mr-3 w-[1px] h-3.5 bg-divider-regular'></div> <Switch defaultValue={isImageEnabled} onChange={handleChange} diff --git a/web/app/components/app/configuration/config-vision/param-config-content.tsx b/web/app/components/app/configuration/config-vision/param-config-content.tsx index fe6d1cd7679a2e..27a69a9aaff556 100644 --- a/web/app/components/app/configuration/config-vision/param-config-content.tsx +++ b/web/app/components/app/configuration/config-vision/param-config-content.tsx @@ -41,11 +41,11 @@ const ParamConfigContent: FC = () => { return ( <div> - <div className='leading-6 text-base font-semibold text-gray-800'>{t('appDebug.vision.visionSettings.title')}</div> + <div className='leading-6 text-base font-semibold text-text-primary'>{t('appDebug.vision.visionSettings.title')}</div> <div className='pt-3 space-y-6'> <div> <div className='mb-2 flex items-center space-x-1'> - <div className='leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.vision.visionSettings.resolution')}</div> + <div className='leading-[18px] text-[13px] font-semibold text-text-secondary'>{t('appDebug.vision.visionSettings.resolution')}</div> <Tooltip popupContent={ <div className='w-[180px]' > @@ -78,7 +78,7 @@ const ParamConfigContent: FC = () => { </div> </div> <div> - <div className='mb-2 leading-[18px] text-[13px] font-semibold text-gray-800'>{t('appDebug.vision.visionSettings.uploadMethod')}</div> + <div className='mb-2 leading-[18px] text-[13px] font-semibold text-text-secondary'>{t('appDebug.vision.visionSettings.uploadMethod')}</div> <div className='flex items-center gap-1'> <OptionCard className='grow' diff --git a/web/app/components/app/configuration/config-vision/param-config.tsx b/web/app/components/app/configuration/config-vision/param-config.tsx index 8c638793915d20..6f932e9d1c7f8b 100644 --- a/web/app/components/app/configuration/config-vision/param-config.tsx +++ b/web/app/components/app/configuration/config-vision/param-config.tsx @@ -2,14 +2,15 @@ import type { FC } from 'react' import { memo, useState } from 'react' import { useTranslation } from 'react-i18next' +import { RiSettings2Line } from '@remixicon/react' import ParamConfigContent from './param-config-content' -import cn from '@/utils/classnames' -import { Settings01 } from '@/app/components/base/icons/src/vender/line/general' +import Button from '@/app/components/base/button' import { PortalToFollowElem, PortalToFollowElemContent, PortalToFollowElemTrigger, } from '@/app/components/base/portal-to-follow-elem' +import cn from '@/utils/classnames' const ParamsConfig: FC = () => { const { t } = useTranslation() @@ -25,13 +26,13 @@ const ParamsConfig: FC = () => { }} > <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}> - <div className={cn('flex items-center rounded-md h-7 px-3 space-x-1 text-text-tertiary cursor-pointer hover:bg-gray-200', open && 'bg-gray-200')}> - <Settings01 className='w-3.5 h-3.5 ' /> - <div className='ml-1 leading-[18px] text-xs font-medium '>{t('appDebug.voice.settings')}</div> - </div> + <Button variant='ghost' size='small' className={cn('')}> + <RiSettings2Line className='w-3.5 h-3.5' /> + <div className='ml-1'>{t('appDebug.voice.settings')}</div> + </Button> </PortalToFollowElemTrigger> <PortalToFollowElemContent style={{ zIndex: 50 }}> - <div className='w-80 sm:w-[412px] p-4 bg-white rounded-lg border-[0.5px] border-gray-200 shadow-lg space-y-3'> + <div className='w-80 sm:w-[412px] p-4 bg-components-panel-bg rounded-lg border-[0.5px] border-components-panel-border shadow-lg space-y-3'> <ParamConfigContent /> </div> </PortalToFollowElemContent> diff --git a/web/app/components/app/configuration/config/agent-setting-button.tsx b/web/app/components/app/configuration/config/agent-setting-button.tsx index f50f77837e98e2..91ba86b1919ea8 100644 --- a/web/app/components/app/configuration/config/agent-setting-button.tsx +++ b/web/app/components/app/configuration/config/agent-setting-button.tsx @@ -2,9 +2,9 @@ import type { FC } from 'react' import React, { useState } from 'react' import { useTranslation } from 'react-i18next' +import { RiSettings2Line } from '@remixicon/react' import AgentSetting from './agent/agent-setting' import Button from '@/app/components/base/button' -import { Settings01 } from '@/app/components/base/icons/src/vender/line/general' import type { AgentConfig } from '@/models/debug' type Props = { @@ -26,7 +26,7 @@ const AgentSettingButton: FC<Props> = ({ return ( <> <Button onClick={() => setIsShowAgentSetting(true)} className='shrink-0 mr-2'> - <Settings01 className='mr-1 w-4 h-4 text-gray-500' /> + <RiSettings2Line className='mr-1 w-4 h-4 text-text-tertiary' /> {t('appDebug.agent.setting.name')} </Button> {isShowAgentSetting && ( diff --git a/web/app/components/app/configuration/config/agent/agent-setting/index.tsx b/web/app/components/app/configuration/config/agent/agent-setting/index.tsx index 959336457fc2ae..9fae3417b976ad 100644 --- a/web/app/components/app/configuration/config/agent/agent-setting/index.tsx +++ b/web/app/components/app/configuration/config/agent/agent-setting/index.tsx @@ -42,10 +42,10 @@ const AgentSetting: FC<Props> = ({ }} > <div - className='w-[640px] flex flex-col h-full overflow-hidden bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl' + className='w-[640px] flex flex-col h-full overflow-hidden bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl' > - <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-b-gray-100'> - <div className='flex flex-col text-base font-semibold text-gray-900'> + <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-divider-regular'> + <div className='flex flex-col text-base font-semibold text-text-primary'> <div className='leading-6'>{t('appDebug.agent.setting.name')}</div> </div> <div className='flex items-center'> @@ -53,7 +53,7 @@ const AgentSetting: FC<Props> = ({ onClick={onCancel} className='flex justify-center items-center w-6 h-6 cursor-pointer' > - <RiCloseLine className='w-4 h-4 text-gray-500' /> + <RiCloseLine className='w-4 h-4 text-text-tertiary' /> </div> </div> </div> @@ -70,7 +70,7 @@ const AgentSetting: FC<Props> = ({ name={t('appDebug.agent.agentMode')} description={t('appDebug.agent.agentModeDes')} > - <div className='leading-[18px] text-[13px] font-medium text-gray-900'>{isFunctionCall ? t('appDebug.agent.agentModeType.functionCall') : t('appDebug.agent.agentModeType.ReACT')}</div> + <div className='leading-[18px] text-[13px] font-medium text-text-primary'>{isFunctionCall ? t('appDebug.agent.agentModeType.functionCall') : t('appDebug.agent.agentModeType.ReACT')}</div> </ItemPanel> <ItemPanel @@ -99,10 +99,10 @@ const AgentSetting: FC<Props> = ({ type="number" min={maxIterationsMin} max={maxIterationsMax} step={1} - className="block w-11 h-7 leading-7 rounded-lg border-0 pl-1 px-1.5 bg-gray-100 text-gray-900 placeholder:text-gray-400 focus:ring-1 focus:ring-inset focus:ring-primary-600" + className="block w-11 h-7 leading-7 rounded-lg border-0 pl-1 px-1.5 bg-components-input-bg-normal text-text-primary placeholder:text-text-tertiary focus:ring-1 focus:ring-inset focus:ring-primary-600" value={tempPayload.max_iteration} onChange={(e) => { - let value = parseInt(e.target.value, 10) + let value = Number.parseInt(e.target.value, 10) if (value < maxIterationsMin) value = maxIterationsMin @@ -117,23 +117,20 @@ const AgentSetting: FC<Props> = ({ </ItemPanel> {!isFunctionCall && ( - <div className='py-2 bg-gray-50 rounded-xl shadow-xs'> - <div className='flex items-center h-8 px-4 leading-6 text-sm font-semibold text-gray-700'>{t('tools.builtInPromptTitle')}</div> - <div className='h-[396px] px-4 overflow-y-auto leading-5 text-sm font-normal text-gray-700 whitespace-pre-line'> + <div className='py-2 bg-background-section-burn rounded-xl shadow-xs'> + <div className='flex items-center h-8 px-4 leading-6 text-sm font-semibold text-text-secondary'>{t('tools.builtInPromptTitle')}</div> + <div className='h-[396px] px-4 overflow-y-auto leading-5 text-sm font-normal text-text-secondary whitespace-pre-line'> {isChatModel ? DEFAULT_AGENT_PROMPT.chat : DEFAULT_AGENT_PROMPT.completion} </div> <div className='px-4'> - <div className='inline-flex items-center h-5 px-1 rounded-md bg-gray-100 leading-[18px] text-xs font-medium text-gray-500'>{(isChatModel ? DEFAULT_AGENT_PROMPT.chat : DEFAULT_AGENT_PROMPT.completion).length}</div> + <div className='inline-flex items-center h-5 px-1 bg-components-input-bg-normal rounded-md leading-[18px] text-xs font-medium text-text-tertiary'>{(isChatModel ? DEFAULT_AGENT_PROMPT.chat : DEFAULT_AGENT_PROMPT.completion).length}</div> </div> </div> )} </div> <div - className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t bg-white ' - style={{ - borderColor: 'rgba(0, 0, 0, 0.05)', - }} + className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t bg-background-section-burn border-divider-regular' > <Button onClick={onCancel} diff --git a/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx b/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx index 99c2478b0647ed..7e1244b1bbb1b5 100644 --- a/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx +++ b/web/app/components/app/configuration/config/agent/agent-setting/item-panel.tsx @@ -19,10 +19,10 @@ const ItemPanel: FC<Props> = ({ children, }) => { return ( - <div className={cn(className, 'flex justify-between items-center h-12 px-3 rounded-lg bg-gray-50')}> + <div className={cn(className, 'flex justify-between items-center h-12 px-3 rounded-lg bg-background-section-burn')}> <div className='flex items-center'> {icon} - <div className='ml-3 mr-1 leading-6 text-sm font-semibold text-gray-800'>{name}</div> + <div className='ml-3 mr-1 leading-6 text-sm font-semibold text-text-secondary'>{name}</div> <Tooltip popupContent={ <div className='w-[180px]'> diff --git a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx index 52e5d5d906d0bd..e4a0e9737fcd70 100644 --- a/web/app/components/app/configuration/config/agent/agent-tools/index.tsx +++ b/web/app/components/app/configuration/config/agent/agent-tools/index.tsx @@ -1,21 +1,24 @@ 'use client' import type { FC } from 'react' -import React, { useState } from 'react' +import React, { useMemo, useState } from 'react' import { useTranslation } from 'react-i18next' import { useContext } from 'use-context-selector' +import copy from 'copy-to-clipboard' import produce from 'immer' import { RiDeleteBinLine, - RiHammerFill, + RiEqualizer2Line, + RiInformation2Line, } from '@remixicon/react' import { useFormattingChangedDispatcher } from '../../../debug/hooks' import SettingBuiltInTool from './setting-built-in-tool' -import cn from '@/utils/classnames' import Panel from '@/app/components/app/configuration/base/feature-panel' -import { InfoCircle } from '@/app/components/base/icons/src/vender/line/general' import OperationBtn from '@/app/components/app/configuration/base/operation-btn' import AppIcon from '@/app/components/base/app-icon' +import Button from '@/app/components/base/button' +import Indicator from '@/app/components/header/indicator' import Switch from '@/app/components/base/switch' +import Toast from '@/app/components/base/toast' import ConfigContext from '@/context/debug-configuration' import type { AgentTool } from '@/types/app' import { type Collection, CollectionType } from '@/app/components/tools/types' @@ -23,7 +26,12 @@ import { MAX_TOOLS_NUM } from '@/config' import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback' import Tooltip from '@/app/components/base/tooltip' import { DefaultToolIcon } from '@/app/components/base/icons/src/public/other' -import AddToolModal from '@/app/components/tools/add-tool-modal' +// import AddToolModal from '@/app/components/tools/add-tool-modal' +import ConfigCredential from '@/app/components/tools/setting/build-in/config-credentials' +import { updateBuiltInToolCredential } from '@/service/tools' +import cn from '@/utils/classnames' +import ToolPicker from '@/app/components/workflow/block-selector/tool-picker' +import type { ToolDefaultValue } from '@/app/components/workflow/block-selector/types' type AgentToolWithMoreInfo = AgentTool & { icon: any; collection?: Collection } | null const AgentTools: FC = () => { @@ -33,9 +41,19 @@ const AgentTools: FC = () => { const formattingChangedDispatcher = useFormattingChangedDispatcher() const [currentTool, setCurrentTool] = useState<AgentToolWithMoreInfo>(null) + const currentCollection = useMemo(() => { + if (!currentTool) return null + const collection = collectionList.find(collection => collection.id.split('/').pop() === currentTool?.provider_id.split('/').pop() && collection.type === currentTool?.provider_type) + return collection + }, [currentTool, collectionList]) const [isShowSettingTool, setIsShowSettingTool] = useState(false) + const [isShowSettingAuth, setShowSettingAuth] = useState(false) const tools = (modelConfig?.agentConfig?.tools as AgentTool[] || []).map((item) => { - const collection = collectionList.find(collection => collection.id === item.provider_id && collection.type === item.provider_type) + const collection = collectionList.find( + collection => + collection.id.split('/').pop() === item.provider_id.split('/').pop() + && collection.type === item.provider_type, + ) const icon = collection?.icon return { ...item, @@ -55,14 +73,40 @@ const AgentTools: FC = () => { formattingChangedDispatcher() } + const handleToolAuthSetting = (value: any) => { + const newModelConfig = produce(modelConfig, (draft) => { + const tool = (draft.agentConfig.tools).find((item: any) => item.provider_id === value?.collection?.id && item.tool_name === value?.tool_name) + if (tool) + (tool as AgentTool).notAuthor = false + }) + setModelConfig(newModelConfig) + setIsShowSettingTool(false) + formattingChangedDispatcher() + } + + const [isDeleting, setIsDeleting] = useState<number>(-1) + + const handleSelectTool = (tool: ToolDefaultValue) => { + const newModelConfig = produce(modelConfig, (draft) => { + draft.agentConfig.tools.push({ + provider_id: tool.provider_id, + provider_type: tool.provider_type as CollectionType, + provider_name: tool.provider_name, + tool_name: tool.tool_name, + tool_label: tool.tool_label, + tool_parameters: tool.params, + notAuthor: !tool.is_team_authorization, + enabled: true, + }) + }) + setModelConfig(newModelConfig) + } + return ( <> <Panel - className="mt-2" + className={cn('mt-2', tools.length === 0 && 'pb-2')} noBodySpacing={tools.length === 0} - headerIcon={ - <RiHammerFill className='w-4 h-4 text-primary-500' /> - } title={ <div className='flex items-center'> <div className='mr-1'>{t('appDebug.agent.tools.name')}</div> @@ -77,11 +121,19 @@ const AgentTools: FC = () => { } headerRight={ <div className='flex items-center'> - <div className='leading-[18px] text-xs font-normal text-gray-500'>{tools.filter((item: any) => !!item.enabled).length}/{tools.length} {t('appDebug.agent.tools.enabled')}</div> + <div className='leading-[18px] text-xs font-normal text-text-tertiary'>{tools.filter((item: any) => !!item.enabled).length}/{tools.length} {t('appDebug.agent.tools.enabled')}</div> {tools.length < MAX_TOOLS_NUM && ( <> - <div className='ml-3 mr-1 h-3.5 w-px bg-gray-200'></div> - <OperationBtn type="add" onClick={() => setIsShowChooseTool(true)} /> + <div className='ml-3 mr-1 h-3.5 w-px bg-divider-regular'></div> + <ToolPicker + trigger={<OperationBtn type="add" />} + isShow={isShowChooseTool} + onShowChange={setIsShowChooseTool} + disabled={false} + supportAddCustomTool + onSelect={handleSelectTool} + selectedTools={tools} + /> </> )} </div> @@ -90,72 +142,77 @@ const AgentTools: FC = () => { <div className='grid gap-1 grid-cols-1 2xl:grid-cols-2 items-center flex-wrap justify-between'> {tools.map((item: AgentTool & { icon: any; collection?: Collection }, index) => ( <div key={index} - className={cn((item.isDeleted || item.notAuthor) ? 'bg-white/50' : 'bg-white', (item.enabled && !item.isDeleted && !item.notAuthor) && 'shadow-xs', index > 1 && 'mt-1', 'group relative flex justify-between items-center last-of-type:mb-0 pl-2.5 py-2 pr-3 w-full rounded-lg border-[0.5px] border-gray-200 ')} + className={cn( + 'group relative flex justify-between items-center last-of-type:mb-0 p-1.5 pr-2 w-full bg-components-panel-on-panel-item-bg rounded-lg border-[0.5px] border-components-panel-border-subtle shadow-xs hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-sm cursor', + isDeleting === index && 'hover:bg-state-destructive-hover border-state-destructive-border', + )} > <div className='grow w-0 flex items-center'> - {(item.isDeleted || item.notAuthor) - ? ( - <DefaultToolIcon className='w-6 h-6' /> - ) - : ( - typeof item.icon === 'string' - ? ( - <div - className='w-6 h-6 bg-cover bg-center rounded-md' - style={{ - backgroundImage: `url(${item.icon})`, - }} - ></div> - ) - : ( - <AppIcon - className='rounded-md' - size='tiny' - icon={item.icon?.content} - background={item.icon?.background} - /> - ))} + {item.isDeleted && <DefaultToolIcon className='w-5 h-5' />} + {!item.isDeleted && ( + <div className={cn((item.notAuthor || !item.enabled) && 'opacity-50')}> + {typeof item.icon === 'string' && <div className='w-5 h-5 bg-cover bg-center rounded-md' style={{ backgroundImage: `url(${item.icon})` }} />} + {typeof item.icon !== 'string' && <AppIcon className='rounded-md' size='xs' icon={item.icon?.content} background={item.icon?.background} />} + </div> + )} <div - className={cn((item.isDeleted || item.notAuthor) ? 'line-through opacity-50' : '', 'grow w-0 ml-2 leading-[18px] text-[13px] font-medium text-gray-800 truncate')} + className={cn( + 'grow w-0 ml-1.5 flex items-center system-xs-regular truncate', + (item.isDeleted || item.notAuthor || !item.enabled) ? 'opacity-50' : '', + )} > - <span className='text-gray-800 pr-2'>{item.provider_type === CollectionType.builtIn ? item.provider_name : item.tool_label}</span> - <Tooltip - popupContent={t('tools.toolNameUsageTip')} - > - <span className='text-gray-500'>{item.tool_name}</span> - </Tooltip> + <span className='text-text-secondary system-xs-medium pr-1.5'>{item.provider_type === CollectionType.builtIn ? item.provider_name.split('/').pop() : item.tool_label}</span> + <span className='text-text-tertiary'>{item.tool_label}</span> + {!item.isDeleted && ( + <Tooltip + needsDelay + popupContent={ + <div className='w-[180px]'> + <div className='mb-1.5 text-text-secondary'>{item.tool_name}</div> + <div className='mb-1.5 text-text-tertiary'>{t('tools.toolNameUsageTip')}</div> + <div className='text-text-accent cursor-pointer' onClick={() => copy(item.tool_name)}>{t('tools.copyToolName')}</div> + </div> + } + > + <div className='w-4 h-4'> + <div className='hidden group-hover:inline-block ml-0.5'> + <RiInformation2Line className='w-4 h-4 text-text-tertiary' /> + </div> + </div> + </Tooltip> + )} </div> </div> <div className='shrink-0 ml-1 flex items-center'> - {(item.isDeleted || item.notAuthor) - ? ( - <div className='flex items-center'> - <Tooltip - popupContent={t(`tools.${item.isDeleted ? 'toolRemoved' : 'notAuthorized'}`)} - needsDelay - > - <div className='mr-1 p-1 rounded-md hover:bg-black/5 cursor-pointer' onClick={() => { - if (item.notAuthor) - setIsShowChooseTool(true) - }}> - <AlertTriangle className='w-4 h-4 text-[#F79009]' /> - </div> - </Tooltip> - - <div className='p-1 rounded-md hover:bg-black/5 cursor-pointer' onClick={() => { + {item.isDeleted && ( + <div className='flex items-center mr-2'> + <Tooltip + popupContent={t('tools.toolRemoved')} + needsDelay + > + <div className='mr-1 p-1 rounded-md hover:bg-black/5 cursor-pointer'> + <AlertTriangle className='w-4 h-4 text-[#F79009]' /> + </div> + </Tooltip> + <div + className='p-1 rounded-md text-text-tertiary cursor-pointer hover:text-text-destructive' + onClick={() => { const newModelConfig = produce(modelConfig, (draft) => { draft.agentConfig.tools.splice(index, 1) }) setModelConfig(newModelConfig) formattingChangedDispatcher() - }}> - <RiDeleteBinLine className='w-4 h-4 text-gray-500' /> - </div> - <div className='ml-2 mr-3 w-px h-3.5 bg-gray-200'></div> + }} + onMouseOver={() => setIsDeleting(index)} + onMouseLeave={() => setIsDeleting(-1)} + > + <RiDeleteBinLine className='w-4 h-4' /> </div> - ) - : ( - <div className='hidden group-hover:flex items-center'> + </div> + )} + {!item.isDeleted && ( + <div className='hidden group-hover:flex items-center gap-1 mr-2'> + {!item.notAuthor && ( <Tooltip popupContent={t('tools.setBuiltInTools.infoAndSetting')} needsDelay @@ -164,55 +221,81 @@ const AgentTools: FC = () => { setCurrentTool(item) setIsShowSettingTool(true) }}> - <InfoCircle className='w-4 h-4 text-gray-500' /> + <RiEqualizer2Line className='w-4 h-4 text-text-tertiary' /> </div> </Tooltip> - - <div className='p-1 rounded-md hover:bg-black/5 cursor-pointer' onClick={() => { + )} + <div + className='p-1 rounded-md text-text-tertiary cursor-pointer hover:text-text-destructive' + onClick={() => { const newModelConfig = produce(modelConfig, (draft) => { draft.agentConfig.tools.splice(index, 1) }) setModelConfig(newModelConfig) formattingChangedDispatcher() - }}> - <RiDeleteBinLine className='w-4 h-4 text-gray-500' /> - </div> - <div className='ml-2 mr-3 w-px h-3.5 bg-gray-200'></div> + }} + onMouseOver={() => setIsDeleting(index)} + onMouseLeave={() => setIsDeleting(-1)} + > + <RiDeleteBinLine className='w-4 h-4' /> </div> + </div> + )} + <div className={cn(item.isDeleted && 'opacity-50')}> + {!item.notAuthor && ( + <Switch + defaultValue={item.isDeleted ? false : item.enabled} + disabled={item.isDeleted} + size='md' + onChange={(enabled) => { + const newModelConfig = produce(modelConfig, (draft) => { + (draft.agentConfig.tools[index] as any).enabled = enabled + }) + setModelConfig(newModelConfig) + formattingChangedDispatcher() + }} /> + )} + {item.notAuthor && ( + <Button variant='secondary' size='small' onClick={() => { + setCurrentTool(item) + setShowSettingAuth(true) + }}> + {t('tools.notAuthorized')} + <Indicator className='ml-2' color='orange' /> + </Button> )} - <div className={cn((item.isDeleted || item.notAuthor) && 'opacity-50')}> - <Switch - defaultValue={(item.isDeleted || item.notAuthor) ? false : item.enabled} - disabled={(item.isDeleted || item.notAuthor)} - size='md' - onChange={(enabled) => { - const newModelConfig = produce(modelConfig, (draft) => { - (draft.agentConfig.tools[index] as any).enabled = enabled - }) - setModelConfig(newModelConfig) - formattingChangedDispatcher() - }} /> </div> </div> </div> ))} </div > </Panel > - {isShowChooseTool && ( - <AddToolModal onHide={() => setIsShowChooseTool(false)} /> + {isShowSettingTool && ( + <SettingBuiltInTool + toolName={currentTool?.tool_name as string} + setting={currentTool?.tool_parameters as any} + collection={currentTool?.collection as Collection} + isBuiltIn={currentTool?.collection?.type === CollectionType.builtIn} + isModel={currentTool?.collection?.type === CollectionType.model} + onSave={handleToolSettingChange} + onHide={() => setIsShowSettingTool(false)} + /> + )} + {isShowSettingAuth && ( + <ConfigCredential + collection={currentCollection as any} + onCancel={() => setShowSettingAuth(false)} + onSaved={async (value) => { + await updateBuiltInToolCredential((currentCollection as any).name, value) + Toast.notify({ + type: 'success', + message: t('common.api.actionSuccess'), + }) + handleToolAuthSetting(currentTool as any) + setShowSettingAuth(false) + }} + /> )} - { - isShowSettingTool && ( - <SettingBuiltInTool - toolName={currentTool?.tool_name as string} - setting={currentTool?.tool_parameters as any} - collection={currentTool?.collection as Collection} - isBuiltIn={currentTool?.collection?.type === CollectionType.builtIn} - isModel={currentTool?.collection?.type === CollectionType.model} - onSave={handleToolSettingChange} - onHide={() => setIsShowSettingTool(false)} - />) - } </> ) } diff --git a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx index 69e18e3136d8fd..da6063045a7b81 100644 --- a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx +++ b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx @@ -3,21 +3,30 @@ import type { FC } from 'react' import React, { useEffect, useState } from 'react' import { useTranslation } from 'react-i18next' import { useContext } from 'use-context-selector' -import cn from '@/utils/classnames' -import Drawer from '@/app/components/base/drawer-plus' +import { + RiArrowLeftLine, + RiCloseLine, +} from '@remixicon/react' +import Drawer from '@/app/components/base/drawer' +import Loading from '@/app/components/base/loading' +import ActionButton from '@/app/components/base/action-button' +import Icon from '@/app/components/plugins/card/base/card-icon' +import OrgInfo from '@/app/components/plugins/card/base/org-info' +import Description from '@/app/components/plugins/card/base/description' +import TabSlider from '@/app/components/base/tab-slider-plain' + +import Button from '@/app/components/base/button' import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form' import { addDefaultValue, toolParametersToFormSchemas } from '@/app/components/tools/utils/to-form-schema' import type { Collection, Tool } from '@/app/components/tools/types' import { CollectionType } from '@/app/components/tools/types' import { fetchBuiltInToolList, fetchCustomToolList, fetchModelToolList, fetchWorkflowToolList } from '@/service/tools' import I18n from '@/context/i18n' -import Button from '@/app/components/base/button' -import Loading from '@/app/components/base/loading' -import { DiagonalDividingLine } from '@/app/components/base/icons/src/public/common' import { getLanguage } from '@/i18n/language' -import AppIcon from '@/app/components/base/app-icon' +import cn from '@/utils/classnames' type Props = { + showBackButton?: boolean collection: Collection isBuiltIn?: boolean isModel?: boolean @@ -29,6 +38,7 @@ type Props = { } const SettingBuiltInTool: FC<Props> = ({ + showBackButton = false, collection, isBuiltIn = true, isModel = true, @@ -96,39 +106,38 @@ const SettingBuiltInTool: FC<Props> = ({ return valid })() - const infoUI = ( - <div className='pt-2'> - <div className='leading-5 text-sm font-medium text-gray-900'> - {t('tools.setBuiltInTools.toolDescription')} - </div> - <div className='mt-1 leading-[18px] text-xs font-normal text-gray-600'> - {currTool?.description[language]} - </div> + const getType = (type: string) => { + if (type === 'number-input') + return t('tools.setBuiltInTools.number') + if (type === 'text-input') + return t('tools.setBuiltInTools.string') + if (type === 'file') + return t('tools.setBuiltInTools.file') + return type + } + const infoUI = ( + <div className=''> {infoSchemas.length > 0 && ( - <div className='mt-6'> - <div className='flex items-center mb-4 leading-[18px] text-xs font-semibold text-gray-500 uppercase'> - <div className='mr-3'>{t('tools.setBuiltInTools.parameters')}</div> - <div className='grow w-0 h-px bg-[#f3f4f6]'></div> - </div> - <div className='space-y-4'> - {infoSchemas.map((item: any, index) => ( - <div key={index}> - <div className='flex items-center space-x-2 leading-[18px]'> - <div className='text-[13px] font-semibold text-gray-900'>{item.label[language]}</div> - <div className='text-xs font-medium text-gray-500'>{item.type === 'number-input' ? t('tools.setBuiltInTools.number') : t('tools.setBuiltInTools.string')}</div> - {item.required && ( - <div className='text-xs font-medium text-[#EC4A0A]'>{t('tools.setBuiltInTools.required')}</div> - )} + <div className='py-2 space-y-1'> + {infoSchemas.map((item: any, index) => ( + <div key={index} className='py-1'> + <div className='flex items-center gap-2'> + <div className='text-text-secondary code-sm-semibold'>{item.label[language]}</div> + <div className='text-text-tertiary system-xs-regular'> + {getType(item.type)} </div> - {item.human_description && ( - <div className='mt-1 leading-[18px] text-xs font-normal text-gray-600'> - {item.human_description?.[language]} - </div> + {item.required && ( + <div className='text-text-warning-secondary system-xs-medium'>{t('tools.setBuiltInTools.required')}</div> )} </div> - ))} - </div> + {item.human_description && ( + <div className='mt-0.5 text-text-tertiary system-xs-regular'> + {item.human_description?.[language]} + </div> + )} + </div> + ))} </div> )} </div> @@ -142,82 +151,88 @@ const SettingBuiltInTool: FC<Props> = ({ isEditMode={false} showOnVariableMap={{}} validating={false} - inputClassName='!bg-gray-50' readonly={readonly} /> ) return ( <Drawer - isShow - onHide={onHide} - title={( - <div className='flex items-center'> - {typeof collection.icon === 'string' - ? ( - <div - className='w-6 h-6 bg-cover bg-center rounded-md flex-shrink-0' - style={{ - backgroundImage: `url(${collection.icon})`, - }} - ></div> - ) - : ( - <AppIcon - className='rounded-md' - size='tiny' - icon={(collection.icon as any)?.content} - background={(collection.icon as any)?.background} - /> - )} - - <div className='ml-2 leading-6 text-base font-semibold text-gray-900'>{currTool?.label[language]}</div> - {(hasSetting && !readonly) && (<> - <DiagonalDividingLine className='mx-4' /> - <div className='flex space-x-6'> - <div - className={cn(isInfoActive ? 'text-gray-900 font-semibold' : 'font-normal text-gray-600 cursor-pointer', 'relative text-base')} - onClick={() => setCurrType('info')} - > - {t('tools.setBuiltInTools.info')} - {isInfoActive && <div className='absolute left-0 bottom-[-16px] w-full h-0.5 bg-primary-600'></div>} + isOpen + clickOutsideNotOpen={false} + onClose={onHide} + footer={null} + mask={false} + positionCenter={false} + panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')} + > + <> + {isLoading && <Loading type='app' />} + {!isLoading && ( + <> + {/* header */} + <div className='relative p-4 pb-3 border-b border-divider-subtle'> + <div className='absolute top-3 right-3'> + <ActionButton onClick={onHide}> + <RiCloseLine className='w-4 h-4' /> + </ActionButton> </div> - <div className={cn(!isInfoActive ? 'text-gray-900 font-semibold' : 'font-normal text-gray-600 cursor-pointer', 'relative text-base ')} - onClick={() => setCurrType('setting')} - > - {t('tools.setBuiltInTools.setting')} - {!isInfoActive && <div className='absolute left-0 bottom-[-16px] w-full h-0.5 bg-primary-600'></div>} + {showBackButton && ( + <div + className='mb-2 flex items-center gap-1 text-text-accent-secondary system-xs-semibold-uppercase cursor-pointer' + onClick={onHide} + > + <RiArrowLeftLine className='w-4 h-4' /> + BACK + </div> + )} + <div className='flex items-center gap-1'> + <Icon size='tiny' className='w-6 h-6' src={collection.icon} /> + <OrgInfo + packageNameClassName='w-auto' + orgName={collection.author} + packageName={collection.name.split('/').pop() || ''} + /> </div> + <div className='mt-1 text-text-primary system-md-semibold'>{currTool?.label[language]}</div> + {!!currTool?.description[language] && ( + <Description className='mt-3' text={currTool.description[language]} descriptionLineRows={2}></Description> + )} </div> - </>)} - </div> - )} - panelClassName='mt-[65px] !w-[405px]' - maxWidthClassName='!max-w-[405px]' - height='calc(100vh - 65px)' - headerClassName='!border-b-black/5' - body={ - <div className='h-full pt-3'> - {isLoading - ? <div className='flex h-full items-center'> - <Loading type='app' /> - </div> - : (<div className='flex flex-col h-full'> - <div className='grow h-0 overflow-y-auto px-6'> - {isInfoActive ? infoUI : settingUI} - </div> - {!readonly && !isInfoActive && ( - <div className='mt-2 shrink-0 flex justify-end py-4 px-6 space-x-2 rounded-b-[10px] bg-gray-50 border-t border-black/5'> - <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium !text-gray-700' onClick={onHide}>{t('common.operation.cancel')}</Button> - <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium' variant='primary' disabled={!isValid} onClick={() => onSave?.(addDefaultValue(tempSetting, formSchemas))}>{t('common.operation.save')}</Button> + {/* form */} + <div className='h-full'> + <div className='flex flex-col h-full'> + {(hasSetting && !readonly) ? ( + <TabSlider + className='shrink-0 mt-1 px-4' + itemClassName='py-3' + noBorderBottom + value={currType} + onChange={(value) => { + setCurrType(value) + }} + options={[ + { value: 'info', text: t('tools.setBuiltInTools.parameters')! }, + { value: 'setting', text: t('tools.setBuiltInTools.setting')! }, + ]} + /> + ) : ( + <div className='p-4 pb-1 text-text-primary system-sm-semibold-uppercase'>{t('tools.setBuiltInTools.parameters')}</div> + )} + <div className='grow h-0 overflow-y-auto px-4'> + {isInfoActive ? infoUI : settingUI} </div> - )} - </div>)} - </div> - } - isShowMask={false} - clickOutsideNotOpen={false} - /> + {!readonly && !isInfoActive && ( + <div className='mt-2 shrink-0 flex justify-end py-4 px-6 space-x-2 rounded-b-[10px] bg-components-panel-bg border-t border-divider-regular'> + <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium ' onClick={onHide}>{t('common.operation.cancel')}</Button> + <Button className='flex items-center h-8 !px-3 !text-[13px] font-medium' variant='primary' disabled={!isValid} onClick={() => onSave?.(addDefaultValue(tempSetting, formSchemas))}>{t('common.operation.save')}</Button> + </div> + )} + </div> + </div> + </> + )} + </> + </Drawer> ) } export default React.memo(SettingBuiltInTool) diff --git a/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx b/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx index 0a20f4b376c2d4..549421401c0bb4 100644 --- a/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx +++ b/web/app/components/app/configuration/config/automatic/get-automatic-res.tsx @@ -38,7 +38,7 @@ import ModelName from '@/app/components/header/account-setting/model-provider-pa import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' import { useModelListAndDefaultModelAndCurrentProviderAndModel } from '@/app/components/header/account-setting/model-provider-page/hooks' -export type IGetAutomaticResProps = { +export interface IGetAutomaticResProps { mode: AppType model: Model isShow: boolean diff --git a/web/app/components/app/configuration/config/index.tsx b/web/app/components/app/configuration/config/index.tsx index 39fdd502ef6c64..dd4a076dde25a5 100644 --- a/web/app/components/app/configuration/config/index.tsx +++ b/web/app/components/app/configuration/config/index.tsx @@ -12,7 +12,7 @@ import AgentTools from './agent/agent-tools' import ConfigContext from '@/context/debug-configuration' import ConfigPrompt from '@/app/components/app/configuration/config-prompt' import ConfigVar from '@/app/components/app/configuration/config-var' -import { type ModelConfig, type PromptVariable } from '@/models/debug' +import type { ModelConfig, PromptVariable } from '@/models/debug' import type { AppType } from '@/types/app' import { ModelModeType } from '@/types/app' diff --git a/web/app/components/app/configuration/dataset-config/card-item/item.tsx b/web/app/components/app/configuration/dataset-config/card-item/item.tsx index 7036ae8c8a782e..637fd8483c45db 100644 --- a/web/app/components/app/configuration/dataset-config/card-item/item.tsx +++ b/web/app/components/app/configuration/dataset-config/card-item/item.tsx @@ -16,6 +16,7 @@ import Drawer from '@/app/components/base/drawer' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import Badge from '@/app/components/base/badge' import { useKnowledge } from '@/hooks/use-knowledge' +import cn from '@/utils/classnames' type ItemProps = { className?: string @@ -43,8 +44,10 @@ const Item: FC<ItemProps> = ({ setShowSettingsModal(false) } + const [isDeleting, setIsDeleting] = useState(false) + return ( - <div className='group relative flex items-center mb-1 last-of-type:mb-0 pl-2.5 py-2 pr-3 w-full bg-white rounded-lg border-[0.5px] border-gray-200 shadow-xs'> + <div className={cn('group relative flex items-center mb-1 last-of-type:mb-0 pl-2.5 py-2 pr-3 w-full rounded-lg bg-components-panel-on-panel-item-bg border-components-panel-border-subtle border-[0.5px] shadow-xs hover:shadow-sm hover:bg-components-panel-on-panel-item-bg-hover', isDeleting && 'hover:bg-state-destructive-hover border-state-destructive-border')}> { config.data_source_type === DataSourceType.FILE && ( <div className='shrink-0 flex items-center justify-center mr-2 w-6 h-6 bg-[#F5F8FF] rounded-md border-[0.5px] border-[#E0EAFF]'> @@ -68,28 +71,30 @@ const Item: FC<ItemProps> = ({ } <div className='grow'> <div className='flex items-center h-[18px]'> - <div className='grow text-[13px] font-medium text-gray-800 truncate' title={config.name}>{config.name}</div> + <div className='grow text-[13px] font-medium text-text-secondary truncate' title={config.name}>{config.name}</div> {config.provider === 'external' ? <Badge text={t('dataset.externalTag') as string} /> : <Badge text={formatIndexingTechniqueAndMethod(config.indexing_technique, config.retrieval_model_dict?.search_method)} />} </div> - </div> + </div > <div className='hidden rounded-lg group-hover:flex items-center justify-end absolute right-0 top-0 bottom-0 pr-2 w-[124px] bg-gradient-to-r from-white/50 to-white to-50%'> { editable && <div className='flex items-center justify-center mr-1 w-6 h-6 hover:bg-black/5 rounded-md cursor-pointer' onClick={() => setShowSettingsModal(true)} > - <RiEditLine className='w-4 h-4 text-gray-500' /> + <RiEditLine className='w-4 h-4 text-text-tertiary' /> </div> } <div - className='group/action flex items-center justify-center w-6 h-6 hover:bg-[#FEE4E2] rounded-md cursor-pointer' + className='flex items-center justify-center w-6 h-6 text-text-tertiary cursor-pointer hover:text-text-destructive' onClick={() => onRemove(config.id)} + onMouseOver={() => setIsDeleting(true)} + onMouseLeave={() => setIsDeleting(false)} > - <RiDeleteBinLine className='w-4 h-4 text-gray-500 group-hover/action:text-[#D92D20]' /> + <RiDeleteBinLine className='w-4 h-4' /> </div> </div> <Drawer isOpen={showSettingsModal} onClose={() => setShowSettingsModal(false)} footer={null} mask={isMobile} panelClassname='mt-16 mx-2 sm:mr-2 mb-3 !p-0 !max-w-[640px] rounded-xl'> @@ -99,7 +104,7 @@ const Item: FC<ItemProps> = ({ onSave={handleSave} /> </Drawer> - </div> + </div > ) } diff --git a/web/app/components/app/configuration/dataset-config/context-var/index.tsx b/web/app/components/app/configuration/dataset-config/context-var/index.tsx index 0de182b0a97fcb..530dd22175f30b 100644 --- a/web/app/components/app/configuration/dataset-config/context-var/index.tsx +++ b/web/app/components/app/configuration/dataset-config/context-var/index.tsx @@ -14,12 +14,12 @@ const ContextVar: FC<Props> = (props) => { const currItem = options.find(item => item.value === value) const notSetVar = !currItem return ( - <div className={cn(notSetVar ? 'rounded-bl-xl rounded-br-xl bg-[#FEF0C7] border-[#FEF0C7]' : 'border-gray-200', 'flex justify-between items-center h-12 px-3 border-t ')}> + <div className={cn(notSetVar ? 'rounded-bl-xl rounded-br-xl bg-[#FEF0C7] border-[#FEF0C7]' : 'border-components-panel-border-subtle', 'flex justify-between items-center h-12 px-3 border-t ')}> <div className='flex items-center space-x-1 shrink-0'> <div className='p-1'> - <BracketsX className='w-4 h-4 text-primary-500' /> + <BracketsX className='w-4 h-4 text-text-accent' /> </div> - <div className='mr-1 text-sm font-medium text-gray-800'>{t('appDebug.feature.dataSet.queryVariable.title')}</div> + <div className='mr-1 text-sm font-medium text-text-secondary'>{t('appDebug.feature.dataSet.queryVariable.title')}</div> <Tooltip popupContent={ <div className='w-[180px]'> diff --git a/web/app/components/app/configuration/dataset-config/context-var/style.module.css b/web/app/components/app/configuration/dataset-config/context-var/style.module.css deleted file mode 100644 index cbfaae8e29d7e2..00000000000000 --- a/web/app/components/app/configuration/dataset-config/context-var/style.module.css +++ /dev/null @@ -1,3 +0,0 @@ -.trigger:hover .dropdownIcon { - color: #98A2B3; -} \ No newline at end of file diff --git a/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx b/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx index bc31721ad78318..4e7ca93e990bec 100644 --- a/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx +++ b/web/app/components/app/configuration/dataset-config/context-var/var-picker.tsx @@ -3,7 +3,6 @@ import type { FC } from 'react' import React, { useState } from 'react' import { useTranslation } from 'react-i18next' import { ChevronDownIcon } from '@heroicons/react/24/outline' -import s from './style.module.css' import cn from '@/utils/classnames' import { PortalToFollowElem, @@ -56,10 +55,9 @@ const VarPicker: FC<Props> = ({ > <PortalToFollowElemTrigger className={cn(triggerClassName)} onClick={() => setOpen(v => !v)}> <div className={cn( - s.trigger, className, - notSetVar ? 'bg-[#FFFCF5] border-[#FEDF89] text-[#DC6803]' : ' hover:bg-gray-50 border-gray-200 text-primary-600', - open ? 'bg-gray-50' : 'bg-white', + notSetVar ? 'bg-[#FFFCF5] border-[#FEDF89] text-[#DC6803]' : ' hover:bg-components-button-secondary-bg border-components-button-secondary-border text-text-accent', + open ? 'bg-components-button-secondary-bg' : 'bg-transparent', ` flex items-center h-8 justify-center px-2 space-x-1 rounded-lg border shadow-xs cursor-pointer text-[13px] font-medium @@ -73,16 +71,16 @@ const VarPicker: FC<Props> = ({ {notSelectedVarTip || t('appDebug.feature.dataSet.queryVariable.choosePlaceholder')} </div>)} </div> - <ChevronDownIcon className={cn(s.dropdownIcon, open && 'rotate-180 text-[#98A2B3]', 'w-3.5 h-3.5')} /> + <ChevronDownIcon className={cn(open && 'rotate-180 text-text-tertiary', 'w-3.5 h-3.5')} /> </div> </PortalToFollowElemTrigger> <PortalToFollowElemContent style={{ zIndex: 1000 }}> {options.length > 0 - ? (<div className='w-[240px] max-h-[50vh] overflow-y-auto p-1 border bg-white border-gray-200 rounded-lg shadow-lg'> + ? (<div className='w-[240px] max-h-[50vh] overflow-y-auto p-1 border bg-components-panel-bg border-components-panel-border rounded-lg shadow-lg'> {options.map(({ name, value, type }, index) => ( <div key={index} - className='px-3 py-1 flex rounded-lg hover:bg-gray-50 cursor-pointer' + className='px-3 py-1 flex rounded-lg hover:bg-state-base-hover cursor-pointer' onClick={() => { onChange(value) setOpen(false) @@ -93,9 +91,9 @@ const VarPicker: FC<Props> = ({ ))} </div>) : ( - <div className='w-[240px] p-6 bg-white border border-gray-200 rounded-lg shadow-lg'> - <div className='mb-1 text-sm font-medium text-gray-700'>{t('appDebug.feature.dataSet.queryVariable.noVar')}</div> - <div className='text-xs leading-normal text-gray-500'>{t('appDebug.feature.dataSet.queryVariable.noVarTip')}</div> + <div className='w-[240px] p-6 bg-components-panel-bg border border-components-panel-border rounded-lg shadow-lg'> + <div className='mb-1 text-sm font-medium text-text-secondary'>{t('appDebug.feature.dataSet.queryVariable.noVar')}</div> + <div className='text-xs leading-normal text-text-tertiary'>{t('appDebug.feature.dataSet.queryVariable.noVarTip')}</div> </div> )} diff --git a/web/app/components/app/configuration/dataset-config/index.tsx b/web/app/components/app/configuration/dataset-config/index.tsx index ecbc52c5fd62cb..5868118e944147 100644 --- a/web/app/components/app/configuration/dataset-config/index.tsx +++ b/web/app/components/app/configuration/dataset-config/index.tsx @@ -22,13 +22,6 @@ import { ModelTypeEnum } from '@/app/components/header/account-setting/model-pro import { useSelector as useAppContextSelector } from '@/context/app-context' import { hasEditPermissionForDataset } from '@/utils/permission' -const Icon = ( - <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"> - <path fillRule="evenodd" clipRule="evenodd" d="M12.6667 5.34368C12.6667 5.32614 12.6667 5.31738 12.6659 5.30147C12.6502 4.97229 12.3607 4.68295 12.0315 4.66737C12.0156 4.66662 12.0104 4.66662 12 4.66663H9.8391C9.30248 4.66662 8.85957 4.66661 8.49878 4.69609C8.12405 4.72671 7.77958 4.79242 7.45603 4.95728C6.95426 5.21294 6.54631 5.62089 6.29065 6.12265C6.12579 6.44621 6.06008 6.79068 6.02946 7.16541C5.99999 7.5262 5.99999 7.96911 6 8.50574V15.4942C5.99999 16.0308 5.99999 16.4737 6.02946 16.8345C6.06008 17.2092 6.12579 17.5537 6.29065 17.8773C6.54631 18.379 6.95426 18.787 7.45603 19.0426C7.77958 19.2075 8.12405 19.2732 8.49878 19.3038C8.85958 19.3333 9.30248 19.3333 9.83912 19.3333H14.1609C14.6975 19.3333 15.1404 19.3333 15.5012 19.3038C15.8759 19.2732 16.2204 19.2075 16.544 19.0426C17.0457 18.787 17.4537 18.379 17.7093 17.8773C17.8742 17.5537 17.9399 17.2092 17.9705 16.8345C18 16.4737 18 16.0308 18 15.4942V10.6666C18 10.6562 18 10.6511 17.9993 10.6352C17.9837 10.306 17.6943 10.0164 17.3651 10.0007C17.3492 9.99997 17.3405 9.99997 17.323 9.99997L14.3787 9.99997C14.2105 9.99999 14.0466 10 13.9078 9.98867C13.7555 9.97622 13.5756 9.94684 13.3947 9.85464C13.1438 9.72681 12.9398 9.52284 12.812 9.27195C12.7198 9.09101 12.6904 8.91118 12.678 8.75879C12.6666 8.62001 12.6666 8.45615 12.6667 8.2879L12.6667 5.34368ZM9.33333 12.6666C8.96514 12.6666 8.66667 12.9651 8.66667 13.3333C8.66667 13.7015 8.96514 14 9.33333 14H14.6667C15.0349 14 15.3333 13.7015 15.3333 13.3333C15.3333 12.9651 15.0349 12.6666 14.6667 12.6666H9.33333ZM9.33333 15.3333C8.96514 15.3333 8.66667 15.6318 8.66667 16C8.66667 16.3681 8.96514 16.6666 9.33333 16.6666H13.3333C13.7015 16.6666 14 16.3681 14 16C14 15.6318 13.7015 15.3333 13.3333 15.3333H9.33333Z" fill="#6938EF" /> - <path d="M16.6053 8.66662C16.8011 8.66662 16.8989 8.66663 16.9791 8.61747C17.0923 8.54806 17.16 8.38452 17.129 8.25538C17.107 8.16394 17.0432 8.10018 16.9155 7.97265L14.694 5.75111C14.5664 5.62345 14.5027 5.55962 14.4112 5.53764C14.2821 5.5066 14.1186 5.57429 14.0492 5.68752C14 5.7677 14 5.86557 14 6.06132L14 8.13327C14 8.31994 14 8.41328 14.0363 8.48459C14.0683 8.54731 14.1193 8.5983 14.182 8.63026C14.2533 8.66659 14.3466 8.66659 14.5333 8.66659L16.6053 8.66662Z" fill="#6938EF" /> - </svg> -) - const DatasetConfig: FC = () => { const { t } = useTranslation() const userProfile = useAppContextSelector(s => s.userProfile) @@ -125,7 +118,6 @@ const DatasetConfig: FC = () => { return ( <FeaturePanel className='mt-2' - headerIcon={Icon} title={t('appDebug.feature.dataSet.title')} headerRight={ <div className='flex items-center gap-1'> @@ -152,7 +144,7 @@ const DatasetConfig: FC = () => { ) : ( <div className='mt-1 px-3 pb-3'> - <div className='pt-2 pb-1 text-xs text-gray-500'>{t('appDebug.feature.dataSet.noData')}</div> + <div className='pt-2 pb-1 text-xs text-text-tertiary'>{t('appDebug.feature.dataSet.noData')}</div> </div> )} diff --git a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx index 3744c6a56b2787..d65bbe72097ed5 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx +++ b/web/app/components/app/configuration/dataset-config/params-config/config-content.tsx @@ -24,6 +24,7 @@ import cn from '@/utils/classnames' import { useSelectedDatasetsMode } from '@/app/components/workflow/nodes/knowledge-retrieval/hooks' import Switch from '@/app/components/base/switch' import Toast from '@/app/components/base/toast' +import Divider from '@/app/components/base/divider' type Props = { datasetConfigs: DatasetConfigs @@ -188,7 +189,7 @@ const ConfigContent: FC<Props> = ({ <div className='shrink-0 mr-2 system-xs-semibold-uppercase text-text-secondary'> {t('dataset.rerankSettings')} </div> - <div className='grow h-[1px] bg-gradient-to-l from-white to-[rgba(16,24,40,0.08)]'></div> + <Divider bgStyle='gradient' className='!h-px mx-0' /> </div> { selectedDatasetsMode.inconsistentEmbeddingModel @@ -352,7 +353,7 @@ const ConfigContent: FC<Props> = ({ {isInWorkflow && type === RETRIEVE_TYPE.oneWay && ( <div className='mt-4'> <div className='flex items-center space-x-0.5'> - <div className='leading-[32px] text-[13px] font-medium text-gray-900'>{t('common.modelProvider.systemReasoningModel.key')}</div> + <div className='leading-[32px] text-[13px] font-medium text-text-primary'>{t('common.modelProvider.systemReasoningModel.key')}</div> <Tooltip popupContent={t('common.modelProvider.systemReasoningModel.tip')} /> diff --git a/web/app/components/app/configuration/dataset-config/params-config/index.tsx b/web/app/components/app/configuration/dataset-config/params-config/index.tsx index acd19559433e7f..a236eaaf243fa8 100644 --- a/web/app/components/app/configuration/dataset-config/params-config/index.tsx +++ b/web/app/components/app/configuration/dataset-config/params-config/index.tsx @@ -140,11 +140,11 @@ const ParamsConfig = ({ /> <div className='mt-6 flex justify-end'> - <Button className='mr-2 flex-shrink-0' onClick={() => { + <Button className='mr-2 shrink-0' onClick={() => { setTempDataSetConfigs(datasetConfigs) setRerankSettingModalOpen(false) }}>{t('common.operation.cancel')}</Button> - <Button variant='primary' className='flex-shrink-0' onClick={handleSave} >{t('common.operation.save')}</Button> + <Button variant='primary' className='shrink-0' onClick={handleSave} >{t('common.operation.save')}</Button> </div> </Modal> ) diff --git a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx index 0d94e599b4f2c9..ad012a7d94c715 100644 --- a/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx +++ b/web/app/components/app/configuration/dataset-config/select-dataset/index.tsx @@ -6,8 +6,6 @@ import { useTranslation } from 'react-i18next' import Link from 'next/link' import produce from 'immer' import TypeIcon from '../type-icon' -import s from './style.module.css' -import cn from '@/utils/classnames' import Modal from '@/app/components/base/modal' import type { DataSet } from '@/models/datasets' import Button from '@/app/components/base/button' @@ -15,6 +13,7 @@ import { fetchDatasets } from '@/service/datasets' import Loading from '@/app/components/base/loading' import Badge from '@/app/components/base/badge' import { useKnowledge } from '@/hooks/use-knowledge' +import cn from '@/utils/classnames' export type ISelectDataSetProps = { isShow: boolean @@ -111,8 +110,8 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({ borderColor: 'rgba(0, 0, 0, 0.02', }} > - <span className='text-gray-500'>{t('appDebug.feature.dataSet.noDataSet')}</span> - <Link href="/datasets/create" className='font-normal text-[#155EEF]'>{t('appDebug.feature.dataSet.toCreate')}</Link> + <span className='text-text-tertiary'>{t('appDebug.feature.dataSet.noDataSet')}</span> + <Link href="/datasets/create" className='font-normal text-text-accent'>{t('appDebug.feature.dataSet.toCreate')}</Link> </div> )} @@ -122,7 +121,11 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({ {datasets.map(item => ( <div key={item.id} - className={cn(s.item, selected.some(i => i.id === item.id) && s.selected, 'flex justify-between items-center h-10 px-2 rounded-lg bg-white border border-gray-200 cursor-pointer', !item.embedding_available && s.disabled)} + className={cn( + 'flex justify-between items-center h-10 px-2 rounded-lg bg-components-panel-on-panel-item-bg border-components-panel-border-subtle border-[0.5px] shadow-xs cursor-pointer hover:border-components-panel-border hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-sm', + selected.some(i => i.id === item.id) && 'border-[1.5px] border-components-option-card-option-selected-border bg-state-accent-hover shadow-xs hover:shadow-xs hover:border-components-option-card-option-selected-border hover:bg-state-accent-hover', + !item.embedding_available && 'hover:border-components-panel-border-subtle hover:bg-components-panel-on-panel-item-bg hover:shadow-xs', + )} onClick={() => { if (!item.embedding_available) return @@ -130,12 +133,12 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({ }} > <div className='mr-1 flex items-center'> - <div className={cn('mr-2', !item.embedding_available && 'opacity-50')}> + <div className={cn('mr-2', !item.embedding_available && 'opacity-30')}> <TypeIcon type="upload_file" size='md' /> </div> - <div className={cn('max-w-[200px] text-[13px] font-medium text-gray-800 overflow-hidden text-ellipsis whitespace-nowrap', !item.embedding_available && 'opacity-50 !max-w-[120px]')}>{item.name}</div> + <div className={cn('max-w-[200px] text-[13px] font-medium text-text-secondary overflow-hidden text-ellipsis whitespace-nowrap', !item.embedding_available && 'opacity-30 !max-w-[120px]')}>{item.name}</div> {!item.embedding_available && ( - <span className='ml-1 shrink-0 px-1 border border-gray-200 rounded-md text-gray-500 text-xs font-normal leading-[18px]'>{t('dataset.unavailable')}</span> + <span className='ml-1 shrink-0 px-1 border border-divider-deep rounded-md text-text-tertiary text-xs font-normal leading-[18px]'>{t('dataset.unavailable')}</span> )} </div> { @@ -157,7 +160,7 @@ const SelectDataSet: FC<ISelectDataSetProps> = ({ )} {loaded && ( <div className='flex justify-between items-center mt-8'> - <div className='text-sm font-medium text-gray-700'> + <div className='text-sm font-medium text-text-secondary'> {selected.length > 0 && `${selected.length} ${t('appDebug.feature.dataSet.selected')}`} </div> <div className='flex space-x-2'> diff --git a/web/app/components/app/configuration/dataset-config/select-dataset/style.module.css b/web/app/components/app/configuration/dataset-config/select-dataset/style.module.css deleted file mode 100644 index b560f29c438fa2..00000000000000 --- a/web/app/components/app/configuration/dataset-config/select-dataset/style.module.css +++ /dev/null @@ -1,13 +0,0 @@ -.item { - box-shadow: 0px 1px 2px rgba(16, 24, 40, 0.05); -} - -.item:hover, -.item.selected { - background: #F5F8FF; - border-color: #528BFF; -} - -.item.disabled { - @apply bg-white border-gray-200 cursor-default; -} diff --git a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx index e00eb40341dea4..ec2ed78a15f149 100644 --- a/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx +++ b/web/app/components/app/configuration/dataset-config/settings-modal/index.tsx @@ -172,14 +172,14 @@ const SettingsModal: FC<SettingsModalProps> = ({ return ( <div - className='overflow-hidden w-full flex flex-col bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl' + className='overflow-hidden w-full flex flex-col bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl' style={{ height: 'calc(100vh - 72px)', }} ref={ref} > - <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-b-gray-100'> - <div className='flex flex-col text-base font-semibold text-gray-900'> + <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-divider-regular'> + <div className='flex flex-col text-base font-semibold text-text-primary'> <div className='leading-6'>{t('datasetSettings.title')}</div> </div> <div className='flex items-center'> @@ -187,14 +187,12 @@ const SettingsModal: FC<SettingsModalProps> = ({ onClick={onCancel} className='flex justify-center items-center w-6 h-6 cursor-pointer' > - <RiCloseLine className='w-4 h-4 text-gray-500' /> + <RiCloseLine className='w-4 h-4 text-text-tertiary' /> </div> </div> </div> {/* Body */} - <div className='p-6 pt-5 border-b overflow-y-auto pb-[68px]' style={{ - borderBottom: 'rgba(0, 0, 0, 0.05)', - }}> + <div className='p-6 pt-5 border-b border-divider-regular overflow-y-auto pb-[68px]'> <div className={cn(rowClass, 'items-center')}> <div className={labelClass}> <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.name')}</div> @@ -217,7 +215,7 @@ const SettingsModal: FC<SettingsModalProps> = ({ className='resize-none' placeholder={t('datasetSettings.form.descPlaceholder') || ''} /> - <a className='mt-2 flex items-center h-[18px] px-3 text-xs text-gray-500' href="https://docs.dify.ai/features/datasets#how-to-write-a-good-dataset-description" target='_blank' rel='noopener noreferrer'> + <a className='mt-2 flex items-center h-[18px] px-3 text-xs text-text-tertiary' href="https://docs.dify.ai/features/datasets#how-to-write-a-good-dataset-description" target='_blank' rel='noopener noreferrer'> <BookOpenIcon className='w-3 h-[18px] mr-1' /> {t('datasetSettings.form.descWrite')} </a> @@ -260,7 +258,7 @@ const SettingsModal: FC<SettingsModalProps> = ({ <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.embeddingModel')}</div> </div> <div className='w-full'> - <div className='w-full h-9 rounded-lg bg-gray-100 opacity-60'> + <div className='w-full h-8 rounded-lg bg-components-input-bg-normal opacity-60'> <ModelSelector readonly defaultModel={{ @@ -270,9 +268,9 @@ const SettingsModal: FC<SettingsModalProps> = ({ modelList={embeddingsModelList} /> </div> - <div className='mt-2 w-full text-xs leading-6 text-gray-500'> + <div className='mt-2 w-full text-xs leading-6 text-text-tertiary'> {t('datasetSettings.form.embeddingModelTip')} - <span className='text-[#155eef] cursor-pointer' onClick={() => setShowAccountSettingModal({ payload: 'provider' })}>{t('datasetSettings.form.embeddingModelTipLink')}</span> + <span className='text-text-accent cursor-pointer' onClick={() => setShowAccountSettingModal({ payload: 'provider' })}>{t('datasetSettings.form.embeddingModelTipLink')}</span> </div> </div> </div> @@ -326,8 +324,8 @@ const SettingsModal: FC<SettingsModalProps> = ({ <div className={cn(labelClass, 'w-auto min-w-[168px]')}> <div> <div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div> - <div className='leading-[18px] text-xs font-normal text-gray-500'> - <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-[#155eef]'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a> + <div className='leading-[18px] text-xs font-normal text-text-tertiary'> + <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a> {t('datasetSettings.form.retrievalSetting.description')} </div> </div> @@ -360,16 +358,13 @@ const SettingsModal: FC<SettingsModalProps> = ({ e.stopPropagation() e.nativeEvent.stopImmediatePropagation() }}> - <RiCloseLine className='w-4 h-4 text-gray-500 ' /> + <RiCloseLine className='w-4 h-4 text-gray-500' /> </div> </div> )} <div - className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t bg-white ' - style={{ - borderColor: 'rgba(0, 0, 0, 0.05)', - }} + className='sticky z-[5] bottom-0 w-full flex justify-end py-4 px-6 border-t border-divider-regular bg-background-section' > <Button onClick={onCancel} diff --git a/web/app/components/app/configuration/debug/chat-user-input.tsx b/web/app/components/app/configuration/debug/chat-user-input.tsx index cda41917e3f5f6..281e328ef9bb00 100644 --- a/web/app/components/app/configuration/debug/chat-user-input.tsx +++ b/web/app/components/app/configuration/debug/chat-user-input.tsx @@ -84,7 +84,6 @@ const ChatUserInput = ({ onSelect={(i) => { handleInputValueChange(key, i.value as string) }} items={(options || []).map(i => ({ name: i, value: i }))} allowSearch={false} - bgClassName='bg-gray-50' /> )} {type === 'number' && ( diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx index 9f6da8a0988cfb..e135574924f883 100644 --- a/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx +++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/debug-item.tsx @@ -64,11 +64,11 @@ const DebugItem: FC<DebugItemProps> = ({ return ( <div - className={`flex flex-col min-w-[320px] rounded-xl bg-white border-[0.5px] border-black/5 ${className}`} + className={`flex flex-col min-w-[320px] rounded-xl bg-background-section-burn ${className}`} style={style} > - <div className='shrink-0 flex items-center justify-between h-10 px-3 border-b-[0.5px] border-b-black/5'> - <div className='flex items-center justify-center w-6 h-5 font-medium italic text-gray-500'> + <div className='shrink-0 flex items-center justify-between h-10 px-3 border-b-[0.5px] border-divider-regular'> + <div className='flex items-center justify-center w-6 h-5 font-medium italic text-text-tertiary'> #{index + 1} </div> <ModelParameterTrigger diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx index 155ebe21ca6ebe..49c01aa4b39e61 100644 --- a/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx +++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/model-parameter-trigger.tsx @@ -73,7 +73,7 @@ const ModelParameterTrigger: FC<ModelParameterTriggerProps> = ({ <div className={` flex items-center max-w-[200px] h-8 px-2 rounded-lg cursor-pointer - ${open && 'bg-gray-100'} + ${open && 'bg-state-base-hover'} ${currentModel && currentModel.status !== ModelStatusEnum.active && '!bg-[#FFFAEB]'} `} > @@ -88,27 +88,27 @@ const ModelParameterTrigger: FC<ModelParameterTriggerProps> = ({ } { !currentProvider && ( - <div className='flex items-center justify-center mr-1 w-4 h-4 rounded border border-dashed border-primary-100'> - <CubeOutline className='w-[11px] h-[11px] text-primary-600' /> + <div className='flex items-center justify-center mr-1 w-4 h-4 rounded'> + <CubeOutline className='w-4 h-4 text-text-accent' /> </div> ) } { currentModel && ( <ModelName - className='mr-0.5 text-gray-800' + className='mr-0.5 text-text-secondary' modelItem={currentModel} /> ) } { !currentModel && ( - <div className='mr-0.5 text-[13px] font-medium text-primary-600 truncate'> + <div className='mr-0.5 text-[13px] font-medium text-text-accent truncate'> {t('common.modelProvider.selectModel')} </div> ) } - <RiArrowDownSLine className={`w-3 h-3 ${(currentModel && currentProvider) ? 'text-gray-800' : 'text-primary-600'}`} /> + <RiArrowDownSLine className={`w-3 h-3 ${(currentModel && currentProvider) ? 'text-text-tertiary' : 'text-text-accent'}`} /> { currentModel && currentModel.status !== ModelStatusEnum.active && ( <Tooltip popupContent={MODEL_STATUS_TEXT[currentModel.status][language]}> diff --git a/web/app/components/app/configuration/features/chat-group/opening-statement/index.tsx b/web/app/components/app/configuration/features/chat-group/opening-statement/index.tsx deleted file mode 100644 index 6d16660e81b65b..00000000000000 --- a/web/app/components/app/configuration/features/chat-group/opening-statement/index.tsx +++ /dev/null @@ -1,300 +0,0 @@ -/* eslint-disable multiline-ternary */ -'use client' -import type { FC } from 'react' -import React, { useEffect, useRef, useState } from 'react' -import { - RiAddLine, - RiDeleteBinLine, -} from '@remixicon/react' -import { useContext } from 'use-context-selector' -import produce from 'immer' -import { useTranslation } from 'react-i18next' -import { useBoolean } from 'ahooks' -import { ReactSortable } from 'react-sortablejs' -import cn from '@/utils/classnames' -import ConfigContext from '@/context/debug-configuration' -import Panel from '@/app/components/app/configuration/base/feature-panel' -import Button from '@/app/components/base/button' -import OperationBtn from '@/app/components/app/configuration/base/operation-btn' -import { getInputKeys } from '@/app/components/base/block-input' -import ConfirmAddVar from '@/app/components/app/configuration/config-prompt/confirm-add-var' -import { getNewVar } from '@/utils/var' -import { varHighlightHTML } from '@/app/components/app/configuration/base/var-highlight' -import Toast from '@/app/components/base/toast' - -const MAX_QUESTION_NUM = 10 - -export type IOpeningStatementProps = { - value: string - readonly?: boolean - onChange?: (value: string) => void - suggestedQuestions?: string[] - onSuggestedQuestionsChange?: (value: string[]) => void -} - -// regex to match the {{}} and replace it with a span -const regex = /\{\{([^}]+)\}\}/g - -const OpeningStatement: FC<IOpeningStatementProps> = ({ - value = '', - readonly, - onChange, - suggestedQuestions = [], - onSuggestedQuestionsChange = () => { }, -}) => { - const { t } = useTranslation() - const { - modelConfig, - setModelConfig, - } = useContext(ConfigContext) - const promptVariables = modelConfig.configs.prompt_variables - const [notIncludeKeys, setNotIncludeKeys] = useState<string[]>([]) - - const hasValue = !!(value || '').trim() - const inputRef = useRef<HTMLTextAreaElement>(null) - - const [isFocus, { setTrue: didSetFocus, setFalse: setBlur }] = useBoolean(false) - - const setFocus = () => { - didSetFocus() - setTimeout(() => { - const input = inputRef.current - if (input) { - input.focus() - input.setSelectionRange(input.value.length, input.value.length) - } - }, 0) - } - - const [tempValue, setTempValue] = useState(value) - useEffect(() => { - setTempValue(value || '') - }, [value]) - - const [tempSuggestedQuestions, setTempSuggestedQuestions] = useState(suggestedQuestions || []) - const notEmptyQuestions = tempSuggestedQuestions.filter(question => !!question && question.trim()) - const coloredContent = (tempValue || '') - .replace(/</g, '<') - .replace(/>/g, '>') - .replace(regex, varHighlightHTML({ name: '$1' })) // `<span class="${highLightClassName}">{{$1}}</span>` - .replace(/\n/g, '<br />') - - const handleEdit = () => { - if (readonly) - return - setFocus() - } - - const [isShowConfirmAddVar, { setTrue: showConfirmAddVar, setFalse: hideConfirmAddVar }] = useBoolean(false) - - const handleCancel = () => { - setBlur() - setTempValue(value) - setTempSuggestedQuestions(suggestedQuestions) - } - - const handleConfirm = () => { - if (!(tempValue || '').trim()) { - Toast.notify({ - type: 'error', - message: t('common.errorMsg.fieldRequired', { - field: t('appDebug.openingStatement.title'), - }), - }) - return - } - const keys = getInputKeys(tempValue) - const promptKeys = promptVariables.map(item => item.key) - let notIncludeKeys: string[] = [] - - if (promptKeys.length === 0) { - if (keys.length > 0) - notIncludeKeys = keys - } - else { - notIncludeKeys = keys.filter(key => !promptKeys.includes(key)) - } - - if (notIncludeKeys.length > 0) { - setNotIncludeKeys(notIncludeKeys) - showConfirmAddVar() - return - } - setBlur() - onChange?.(tempValue) - onSuggestedQuestionsChange(tempSuggestedQuestions) - } - - const cancelAutoAddVar = () => { - onChange?.(tempValue) - hideConfirmAddVar() - setBlur() - } - - const autoAddVar = () => { - const newModelConfig = produce(modelConfig, (draft) => { - draft.configs.prompt_variables = [...draft.configs.prompt_variables, ...notIncludeKeys.map(key => getNewVar(key, 'string'))] - }) - onChange?.(tempValue) - setModelConfig(newModelConfig) - hideConfirmAddVar() - setBlur() - } - - const headerRight = !readonly ? ( - isFocus ? ( - <div className='flex items-center space-x-1'> - <Button - variant='ghost' - size='small' - onClick={handleCancel} - > - {t('common.operation.cancel')} - </Button> - <Button - onClick={handleConfirm} - variant="primary" - size='small' - > - {t('common.operation.save')} - </Button> - </div> - ) : ( - <OperationBtn type='edit' actionName={hasValue ? '' : t('appDebug.openingStatement.writeOpener') as string} onClick={handleEdit} /> - ) - ) : null - - const renderQuestions = () => { - return isFocus ? ( - <div> - <div className='flex items-center py-2'> - <div className='shrink-0 flex space-x-0.5 leading-[18px] text-xs font-medium text-gray-500'> - <div className='uppercase'>{t('appDebug.openingStatement.openingQuestion')}</div> - <div>·</div> - <div>{tempSuggestedQuestions.length}/{MAX_QUESTION_NUM}</div> - </div> - <div className='ml-3 grow w-0 h-px bg-[#243, 244, 246]'></div> - </div> - <ReactSortable - className="space-y-1" - list={tempSuggestedQuestions.map((name, index) => { - return { - id: index, - name, - } - })} - setList={list => setTempSuggestedQuestions(list.map(item => item.name))} - handle='.handle' - ghostClass="opacity-50" - animation={150} - > - {tempSuggestedQuestions.map((question, index) => { - return ( - <div className='group relative rounded-lg border border-gray-200 flex items-center pl-2.5 hover:border-gray-300 hover:bg-white' key={index}> - <div className='handle flex items-center justify-center w-4 h-4 cursor-grab'> - <svg width="6" height="10" viewBox="0 0 6 10" fill="none" xmlns="http://www.w3.org/2000/svg"> - <path fillRule="evenodd" clipRule="evenodd" d="M1 2C1.55228 2 2 1.55228 2 1C2 0.447715 1.55228 0 1 0C0.447715 0 0 0.447715 0 1C0 1.55228 0.447715 2 1 2ZM1 6C1.55228 6 2 5.55228 2 5C2 4.44772 1.55228 4 1 4C0.447715 4 0 4.44772 0 5C0 5.55228 0.447715 6 1 6ZM6 1C6 1.55228 5.55228 2 5 2C4.44772 2 4 1.55228 4 1C4 0.447715 4.44772 0 5 0C5.55228 0 6 0.447715 6 1ZM5 6C5.55228 6 6 5.55228 6 5C6 4.44772 5.55228 4 5 4C4.44772 4 4 4.44772 4 5C4 5.55228 4.44772 6 5 6ZM2 9C2 9.55229 1.55228 10 1 10C0.447715 10 0 9.55229 0 9C0 8.44771 0.447715 8 1 8C1.55228 8 2 8.44771 2 9ZM5 10C5.55228 10 6 9.55229 6 9C6 8.44771 5.55228 8 5 8C4.44772 8 4 8.44771 4 9C4 9.55229 4.44772 10 5 10Z" fill="#98A2B3" /> - </svg> - </div> - <input - type="input" - value={question || ''} - onChange={(e) => { - const value = e.target.value - setTempSuggestedQuestions(tempSuggestedQuestions.map((item, i) => { - if (index === i) - return value - - return item - })) - }} - className={'w-full overflow-x-auto pl-1.5 pr-8 text-sm leading-9 text-gray-900 border-0 grow h-9 bg-transparent focus:outline-none cursor-pointer rounded-lg'} - /> - - <div - className='block absolute top-1/2 translate-y-[-50%] right-1.5 p-1 rounded-md cursor-pointer hover:bg-[#FEE4E2] hover:text-[#D92D20]' - onClick={() => { - setTempSuggestedQuestions(tempSuggestedQuestions.filter((_, i) => index !== i)) - }} - > - <RiDeleteBinLine className='w-3.5 h-3.5' /> - </div> - </div> - ) - })}</ReactSortable> - {tempSuggestedQuestions.length < MAX_QUESTION_NUM && ( - <div - onClick={() => { setTempSuggestedQuestions([...tempSuggestedQuestions, '']) }} - className='mt-1 flex items-center h-9 px-3 gap-2 rounded-lg cursor-pointer text-gray-400 bg-gray-100 hover:bg-gray-200'> - <RiAddLine className='w-4 h-4' /> - <div className='text-gray-500 text-[13px]'>{t('appDebug.variableConfig.addOption')}</div> - </div> - )} - </div> - ) : ( - <div className='mt-1.5 flex flex-wrap'> - {notEmptyQuestions.map((question, index) => { - return ( - <div key={index} className='mt-1 mr-1 max-w-full truncate last:mr-0 shrink-0 leading-8 items-center px-2.5 rounded-lg border border-gray-200 shadow-xs bg-white text-[13px] font-normal text-gray-900 cursor-pointer'> - {question} - </div> - ) - })} - </div> - ) - } - - return ( - <Panel - className={cn(isShowConfirmAddVar && 'h-[220px]', 'relative mt-4 !bg-gray-25')} - title={t('appDebug.openingStatement.title')} - headerIcon={ - <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg"> - <path fillRule="evenodd" clipRule="evenodd" d="M8.33353 1.33301C4.83572 1.33301 2.00019 4.16854 2.00019 7.66634C2.00019 8.37301 2.11619 9.05395 2.3307 9.69036C2.36843 9.80229 2.39063 9.86853 2.40507 9.91738L2.40979 9.93383L2.40729 9.93903C2.39015 9.97437 2.36469 10.0218 2.31705 10.11L1.2158 12.1484C1.14755 12.2746 1.07633 12.4064 1.02735 12.5209C0.978668 12.6348 0.899813 12.8437 0.938613 13.0914C0.984094 13.3817 1.15495 13.6373 1.40581 13.7903C1.61981 13.9208 1.843 13.9279 1.96683 13.9264C2.09141 13.925 2.24036 13.9095 2.38314 13.8947L5.81978 13.5395C5.87482 13.5338 5.9036 13.5309 5.92468 13.5292L5.92739 13.529L5.93564 13.532C5.96154 13.5413 5.99666 13.5548 6.0573 13.5781C6.76459 13.8506 7.53244 13.9997 8.33353 13.9997C11.8313 13.9997 14.6669 11.1641 14.6669 7.66634C14.6669 4.16854 11.8313 1.33301 8.33353 1.33301ZM5.9799 5.72116C6.73142 5.08698 7.73164 5.27327 8.33144 5.96584C8.93125 5.27327 9.91854 5.09365 10.683 5.72116C11.4474 6.34867 11.5403 7.41567 10.9501 8.16572C10.5845 8.6304 9.6668 9.47911 9.02142 10.0576C8.78435 10.2702 8.66582 10.3764 8.52357 10.4192C8.40154 10.456 8.26134 10.456 8.13931 10.4192C7.99706 10.3764 7.87853 10.2702 7.64147 10.0576C6.99609 9.47911 6.07839 8.6304 5.71276 8.16572C5.12259 7.41567 5.22839 6.35534 5.9799 5.72116Z" fill="#E74694" /> - </svg> - } - headerRight={headerRight} - hasHeaderBottomBorder={!hasValue} - isFocus={isFocus} - > - <div className='text-gray-700 text-sm'> - {(hasValue || (!hasValue && isFocus)) ? ( - <> - {isFocus - ? ( - <div> - <textarea - ref={inputRef} - value={tempValue} - rows={3} - onChange={e => setTempValue(e.target.value)} - className="w-full px-0 text-sm border-0 bg-transparent focus:outline-none " - placeholder={t('appDebug.openingStatement.placeholder') as string} - > - </textarea> - </div> - ) - : ( - <div dangerouslySetInnerHTML={{ - __html: coloredContent, - }}></div> - )} - {renderQuestions()} - </>) : ( - <div className='pt-2 pb-1 text-xs text-gray-500'>{t('appDebug.openingStatement.noDataPlaceHolder')}</div> - )} - - {isShowConfirmAddVar && ( - <ConfirmAddVar - varNameArr={notIncludeKeys} - onConfirm={autoAddVar} - onCancel={cancelAutoAddVar} - onHide={hideConfirmAddVar} - /> - )} - - </div> - </Panel> - ) -} -export default React.memo(OpeningStatement) diff --git a/web/app/components/app/configuration/index.tsx b/web/app/components/app/configuration/index.tsx index 3a5ee386bbe428..1d37f737240f18 100644 --- a/web/app/components/app/configuration/index.tsx +++ b/web/app/components/app/configuration/index.tsx @@ -19,6 +19,7 @@ import { } from '@/app/components/app/configuration/debug/hooks' import type { ModelAndParameter } from '@/app/components/app/configuration/debug/types' import Button from '@/app/components/base/button' +import Divider from '@/app/components/base/divider' import Loading from '@/app/components/base/loading' import AppPublisher from '@/app/components/app/app-publisher/features-wrapper' import type { @@ -59,7 +60,7 @@ import { useTextGenerationCurrentProviderAndModelAndModelList, } from '@/app/components/header/account-setting/model-provider-page/hooks' import { fetchCollectionList } from '@/service/tools' -import { type Collection } from '@/app/components/tools/types' +import type { Collection } from '@/app/components/tools/types' import { useStore as useAppStore } from '@/app/components/app/store' import { getMultipleRetrievalConfig, @@ -71,6 +72,8 @@ import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants' import { SupportUploadFileTypes } from '@/app/components/workflow/types' import NewFeaturePanel from '@/app/components/base/features/new-feature-panel' import { fetchFileUploadConfig } from '@/service/common' +import { correctProvider } from '@/utils' +import PluginDependency from '@/app/components/workflow/plugin-dependency' type PublishConfig = { modelConfig: ModelConfig @@ -156,7 +159,7 @@ const Configuration: FC = () => { const setCompletionParams = (value: FormValue) => { const params = { ...value } - // eslint-disable-next-line @typescript-eslint/no-use-before-define + // eslint-disable-next-line ts/no-use-before-define if ((!params.stop || params.stop.length === 0) && (modeModeTypeRef.current === ModelModeType.completion)) { params.stop = getTempStop() setTempStop([]) @@ -165,7 +168,7 @@ const Configuration: FC = () => { } const [modelConfig, doSetModelConfig] = useState<ModelConfig>({ - provider: 'openai', + provider: 'langgenius/openai/openai', model_id: 'gpt-3.5-turbo', mode: ModelModeType.unset, configs: { @@ -188,7 +191,7 @@ const Configuration: FC = () => { const isAgent = mode === 'agent-chat' - const isOpenAI = modelConfig.provider === 'openai' + const isOpenAI = modelConfig.provider === 'langgenius/openai/openai' const [collectionList, setCollectionList] = useState<Collection[]>([]) useEffect(() => { @@ -361,7 +364,7 @@ const Configuration: FC = () => { const [canReturnToSimpleMode, setCanReturnToSimpleMode] = useState(true) const setPromptMode = async (mode: PromptMode) => { if (mode === PromptMode.advanced) { - // eslint-disable-next-line @typescript-eslint/no-use-before-define + // eslint-disable-next-line ts/no-use-before-define await migrateToDefaultPrompt() setCanReturnToSimpleMode(true) } @@ -547,8 +550,19 @@ const Configuration: FC = () => { if (modelConfig.retriever_resource) setCitationConfig(modelConfig.retriever_resource) - if (modelConfig.annotation_reply) - setAnnotationConfig(modelConfig.annotation_reply, true) + if (modelConfig.annotation_reply) { + let annotationConfig = modelConfig.annotation_reply + if (modelConfig.annotation_reply.enabled) { + annotationConfig = { + ...modelConfig.annotation_reply, + embedding_model: { + ...modelConfig.annotation_reply.embedding_model, + embedding_provider_name: correctProvider(modelConfig.annotation_reply.embedding_model.embedding_provider_name), + }, + } + } + setAnnotationConfig(annotationConfig, true) + } if (modelConfig.sensitive_word_avoidance) setModerationConfig(modelConfig.sensitive_word_avoidance) @@ -558,7 +572,7 @@ const Configuration: FC = () => { const config = { modelConfig: { - provider: model.provider, + provider: correctProvider(model.provider), model_id: model.name, mode: model.mode, configs: { @@ -600,7 +614,6 @@ const Configuration: FC = () => { annotation_reply: modelConfig.annotation_reply, external_data_tools: modelConfig.external_data_tools, dataSets: datasets || [], - // eslint-disable-next-line multiline-ternary agentConfig: res.mode === 'agent-chat' ? { max_iteration: DEFAULT_AGENT_SETTING.max_iteration, ...modelConfig.agent_mode, @@ -611,8 +624,12 @@ const Configuration: FC = () => { }).map((tool: any) => { return { ...tool, - isDeleted: res.deleted_tools?.includes(tool.tool_name), + isDeleted: res.deleted_tools?.some((deletedTool: any) => deletedTool.id === tool.id && deletedTool.tool_name === tool.tool_name), notAuthor: collectionList.find(c => tool.provider_id === c.id)?.is_team_authorization === false, + ...(tool.provider_type === 'builtin' ? { + provider_id: correctProvider(tool.provider_name), + provider_name: correctProvider(tool.provider_name), + } : {}), } }), } : DEFAULT_AGENT_SETTING, @@ -633,6 +650,12 @@ const Configuration: FC = () => { retrieval_model: RETRIEVE_TYPE.multiWay, ...modelConfig.dataset_configs, ...retrievalConfig, + ...(retrievalConfig.reranking_model ? { + reranking_model: { + ...retrievalConfig.reranking_model, + reranking_provider_name: correctProvider(modelConfig.dataset_configs.reranking_model.reranking_provider_name), + }, + } : {}), }) setHasFetchedDetail(true) }) @@ -873,13 +896,13 @@ const Configuration: FC = () => { <div className="flex flex-col h-full"> <div className='relative flex grow h-[200px] pt-14'> {/* Header */} - <div className='absolute top-0 left-0 w-full bg-white h-14'> + <div className='absolute top-0 left-0 w-full bg-default-subtle h-14'> <div className='flex items-center justify-between px-6 h-14'> <div className='flex items-center'> - <div className='text-base font-semibold leading-6 text-gray-900'>{t('appDebug.orchestrate')}</div> + <div className='system-xl-semibold text-text-primary'>{t('appDebug.orchestrate')}</div> <div className='flex items-center h-[14px] space-x-1 text-xs'> {isAdvancedMode && ( - <div className='ml-1 flex items-center h-5 px-1.5 border border-gray-100 rounded-md text-[11px] font-medium text-gray-500 uppercase'>{t('appDebug.promptMode.advanced')}</div> + <div className='ml-1 flex items-center h-5 px-1.5 border border-components-button-secondary-border rounded-md system-xs-medium-uppercase text-text-tertiary uppercase'>{t('appDebug.promptMode.advanced')}</div> )} </div> </div> @@ -915,13 +938,13 @@ const Configuration: FC = () => { debugWithMultipleModel={debugWithMultipleModel} onDebugWithMultipleModelChange={handleDebugWithMultipleModelChange} /> - <div className='mx-2 w-[1px] h-[14px] bg-gray-200'></div> + <Divider type='vertical' className='mx-2 h-[14px]' /> </> )} {isMobile && ( - <Button className='!h-8 !text-[13px] font-medium' onClick={showDebugPanel}> + <Button className='mr-2 !h-8 !text-[13px] font-medium' onClick={showDebugPanel}> <span className='mr-1'>{t('appDebug.operation.debugConfig')}</span> - <CodeBracketIcon className="w-4 h-4 text-gray-500" /> + <CodeBracketIcon className="w-4 h-4 text-text-tertiary" /> </Button> )} <AppPublisher {...{ @@ -992,7 +1015,7 @@ const Configuration: FC = () => { /> )} {isMobile && ( - <Drawer showClose isOpen={isShowDebugPanel} onClose={hideDebugPanel} mask footer={null} panelClassname='!bg-gray-50'> + <Drawer showClose isOpen={isShowDebugPanel} onClose={hideDebugPanel} mask footer={null}> <Debug isAPIKeySet={isAPIKeySet} onSetting={() => setShowAccountSettingModal({ payload: 'provider' })} @@ -1020,6 +1043,7 @@ const Configuration: FC = () => { onAutoAddPromptVariable={handleAddPromptVariable} /> )} + <PluginDependency /> </> </FeaturesProvider> </ConfigContext.Provider> diff --git a/web/app/components/app/configuration/prompt-value-panel/index.tsx b/web/app/components/app/configuration/prompt-value-panel/index.tsx index a4aadc95764645..2625f224ebb79f 100644 --- a/web/app/components/app/configuration/prompt-value-panel/index.tsx +++ b/web/app/components/app/configuration/prompt-value-panel/index.tsx @@ -157,7 +157,7 @@ const PromptValuePanel: FC<IPromptValuePanelProps> = ({ ))} {visionConfig?.enabled && ( <div className="mt-3 xl:flex justify-between"> - <div className="mr-1 py-2 shrink-0 w-[120px] text-sm text-gray-900">{t('common.imageUploader.imageUpload')}</div> + <div className="mr-1 py-2 shrink-0 w-[120px] text-sm text-text-primary">{t('common.imageUploader.imageUpload')}</div> <div className='grow'> <TextGenerationImageUploader settings={visionConfig} diff --git a/web/app/components/app/configuration/toolbox/annotation/config-param.tsx b/web/app/components/app/configuration/toolbox/annotation/config-param.tsx deleted file mode 100644 index e418a76c344ccd..00000000000000 --- a/web/app/components/app/configuration/toolbox/annotation/config-param.tsx +++ /dev/null @@ -1,124 +0,0 @@ -'use client' -import type { FC } from 'react' -import React from 'react' -import { useTranslation } from 'react-i18next' -import { useContext } from 'use-context-selector' -import { usePathname, useRouter } from 'next/navigation' -import ConfigParamModal from './config-param-modal' -import Panel from '@/app/components/app/configuration/base/feature-panel' -import { MessageFast } from '@/app/components/base/icons/src/vender/solid/communication' -import Tooltip from '@/app/components/base/tooltip' -import { LinkExternal02, Settings04 } from '@/app/components/base/icons/src/vender/line/general' -import ConfigContext from '@/context/debug-configuration' -import type { EmbeddingModelConfig } from '@/app/components/app/annotation/type' -import { fetchAnnotationConfig, updateAnnotationScore } from '@/service/annotation' -import type { AnnotationReplyConfig as AnnotationReplyConfigType } from '@/models/debug' - -type Props = { - onEmbeddingChange: (embeddingModel: EmbeddingModelConfig) => void - onScoreChange: (score: number, embeddingModel?: EmbeddingModelConfig) => void -} - -export const Item: FC<{ title: string; tooltip: string; children: JSX.Element }> = ({ - title, - tooltip, - children, -}) => { - return ( - <div> - <div className='flex items-center space-x-1'> - <div>{title}</div> - <Tooltip - popupContent={ - <div className='max-w-[200px] leading-[18px] text-[13px] font-medium text-gray-800'>{tooltip}</div> - } - /> - </div> - <div>{children}</div> - </div> - ) -} - -const AnnotationReplyConfig: FC<Props> = ({ - onEmbeddingChange, - onScoreChange, -}) => { - const { t } = useTranslation() - const router = useRouter() - const pathname = usePathname() - const matched = pathname.match(/\/app\/([^/]+)/) - const appId = (matched?.length && matched[1]) ? matched[1] : '' - const { - annotationConfig, - } = useContext(ConfigContext) - - const [isShowEdit, setIsShowEdit] = React.useState(false) - - return ( - <> - <Panel - className="mt-4" - headerIcon={ - <MessageFast className='w-4 h-4 text-[#444CE7]' /> - } - title={t('appDebug.feature.annotation.title')} - headerRight={ - <div className='flex items-center'> - <div - className='flex items-center rounded-md h-7 px-3 space-x-1 text-gray-700 cursor-pointer hover:bg-gray-200' - onClick={() => { setIsShowEdit(true) }} - > - <Settings04 className="w-[14px] h-[14px]" /> - <div className='text-xs font-medium'> - - {t('common.operation.params')} - </div> - </div> - <div - className='ml-1 flex items-center h-7 px-3 space-x-1 leading-[18px] text-xs font-medium text-gray-700 rounded-md cursor-pointer hover:bg-gray-200' - onClick={() => { - router.push(`/app/${appId}/annotations`) - }}> - <div>{t('appDebug.feature.annotation.cacheManagement')}</div> - <LinkExternal02 className='w-3.5 h-3.5' /> - </div> - </div> - } - noBodySpacing - /> - {isShowEdit && ( - <ConfigParamModal - appId={appId} - isShow - onHide={() => { - setIsShowEdit(false) - }} - onSave={async (embeddingModel, score) => { - const annotationConfig = await fetchAnnotationConfig(appId) as AnnotationReplyConfigType - let isEmbeddingModelChanged = false - if ( - embeddingModel.embedding_model_name !== annotationConfig.embedding_model.embedding_model_name - || embeddingModel.embedding_provider_name !== annotationConfig.embedding_model.embedding_provider_name - ) { - await onEmbeddingChange(embeddingModel) - isEmbeddingModelChanged = true - } - - if (score !== annotationConfig.score_threshold) { - await updateAnnotationScore(appId, annotationConfig.id, score) - if (isEmbeddingModelChanged) - onScoreChange(score, embeddingModel) - - else - onScoreChange(score) - } - - setIsShowEdit(false) - }} - annotationConfig={annotationConfig} - /> - )} - </> - ) -} -export default React.memo(AnnotationReplyConfig) diff --git a/web/app/components/app/configuration/toolbox/index.tsx b/web/app/components/app/configuration/toolbox/index.tsx deleted file mode 100644 index 00ea301a42d8a5..00000000000000 --- a/web/app/components/app/configuration/toolbox/index.tsx +++ /dev/null @@ -1,45 +0,0 @@ -'use client' - -import type { FC } from 'react' -import React from 'react' -import { useTranslation } from 'react-i18next' -import GroupName from '../base/group-name' -import Moderation from './moderation' -import Annotation from './annotation/config-param' -import type { EmbeddingModelConfig } from '@/app/components/app/annotation/type' - -export type ToolboxProps = { - showModerationSettings: boolean - showAnnotation: boolean - onEmbeddingChange: (embeddingModel: EmbeddingModelConfig) => void - onScoreChange: (score: number, embeddingModel?: EmbeddingModelConfig) => void -} - -const Toolbox: FC<ToolboxProps> = ({ - showModerationSettings, - showAnnotation, - onEmbeddingChange, - onScoreChange, -}) => { - const { t } = useTranslation() - - return ( - <div className='mt-7'> - <GroupName name={t('appDebug.feature.toolbox.title')} /> - { - showModerationSettings && ( - <Moderation /> - ) - } - { - showAnnotation && ( - <Annotation - onEmbeddingChange={onEmbeddingChange} - onScoreChange={onScoreChange} - /> - ) - } - </div> - ) -} -export default React.memo(Toolbox) diff --git a/web/app/components/app/configuration/tools/external-data-tool-modal.tsx b/web/app/components/app/configuration/tools/external-data-tool-modal.tsx index eefdd4514ceb40..e1fe73ee328d19 100644 --- a/web/app/components/app/configuration/tools/external-data-tool-modal.tsx +++ b/web/app/components/app/configuration/tools/external-data-tool-modal.tsx @@ -21,13 +21,13 @@ import { useToastContext } from '@/app/components/base/toast' import AppIcon from '@/app/components/base/app-icon' const systemTypes = ['api'] -type ExternalDataToolModalProps = { +interface ExternalDataToolModalProps { data: ExternalDataTool onCancel: () => void onSave: (externalDataTool: ExternalDataTool) => void onValidateBeforeSave?: (externalDataTool: ExternalDataTool) => boolean } -type Provider = { +interface Provider { key: string name: string form_schema?: CodeBasedExtensionItem['form_schema'] diff --git a/web/app/components/app/create-app-dialog/app-list/index.tsx b/web/app/components/app/create-app-dialog/app-list/index.tsx index f158f21d994e94..a545774f2c1863 100644 --- a/web/app/components/app/create-app-dialog/app-list/index.tsx +++ b/web/app/components/app/create-app-dialog/app-list/index.tsx @@ -27,6 +27,7 @@ import { getRedirection } from '@/utils/app-redirection' import Input from '@/app/components/base/input' import type { AppMode } from '@/types/app' import { DSLImportMode } from '@/models/app' +import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks' type AppsProps = { onSuccess?: () => void @@ -119,6 +120,7 @@ const Apps = ({ const [currApp, setCurrApp] = React.useState<App | null>(null) const [isShowCreateModal, setIsShowCreateModal] = React.useState(false) + const { handleCheckPluginDependencies } = usePluginDependencies() const onCreate: CreateAppModalProps['onConfirm'] = async ({ name, icon_type, @@ -146,6 +148,8 @@ const Apps = ({ }) if (onSuccess) onSuccess() + if (app.app_id) + await handleCheckPluginDependencies(app.app_id) localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1') getRedirection(isCurrentWorkspaceEditor, { id: app.app_id }, push) } diff --git a/web/app/components/app/create-from-dsl-modal/index.tsx b/web/app/components/app/create-from-dsl-modal/index.tsx index ce06b113bc0794..26e175eb5656ce 100644 --- a/web/app/components/app/create-from-dsl-modal/index.tsx +++ b/web/app/components/app/create-from-dsl-modal/index.tsx @@ -25,6 +25,7 @@ import AppsFull from '@/app/components/billing/apps-full-in-dialog' import { NEED_REFRESH_APP_LIST_KEY } from '@/config' import { getRedirection } from '@/utils/app-redirection' import cn from '@/utils/classnames' +import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks' type CreateFromDSLModalProps = { show: boolean @@ -50,6 +51,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS const [showErrorModal, setShowErrorModal] = useState(false) const [versions, setVersions] = useState<{ importedVersion: string; systemVersion: string }>() const [importId, setImportId] = useState<string>() + const { handleCheckPluginDependencies } = usePluginDependencies() const readFile = (file: File) => { const reader = new FileReader() @@ -114,6 +116,8 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS children: status === DSLImportStatus.COMPLETED_WITH_WARNINGS && t('app.newApp.appCreateDSLWarning'), }) localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1') + if (app_id) + await handleCheckPluginDependencies(app_id) getRedirection(isCurrentWorkspaceEditor, { id: app_id }, push) } else if (status === DSLImportStatus.PENDING) { @@ -132,6 +136,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } } + // eslint-disable-next-line unused-imports/no-unused-vars catch (e) { notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } @@ -158,6 +163,8 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS type: 'success', message: t('app.newApp.appCreated'), }) + if (app_id) + await handleCheckPluginDependencies(app_id) localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1') getRedirection(isCurrentWorkspaceEditor, { id: app_id }, push) } @@ -165,6 +172,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } } + // eslint-disable-next-line unused-imports/no-unused-vars catch (e) { notify({ type: 'error', message: t('app.newApp.appCreateFailed') }) } @@ -268,7 +276,7 @@ const CreateFromDSLModal = ({ show, onSuccess, onClose, activeTab = CreateFromDS > <div className='flex pb-4 flex-col items-start gap-2 self-stretch'> <div className='text-text-primary title-2xl-semi-bold'>{t('app.newApp.appCreateDSLErrorTitle')}</div> - <div className='flex flex-grow flex-col text-text-secondary system-md-regular'> + <div className='flex grow flex-col text-text-secondary system-md-regular'> <div>{t('app.newApp.appCreateDSLErrorPart1')}</div> <div>{t('app.newApp.appCreateDSLErrorPart2')}</div> <br /> diff --git a/web/app/components/app/duplicate-modal/index.tsx b/web/app/components/app/duplicate-modal/index.tsx index bcad1c24f24a4e..25a5cbf6c11711 100644 --- a/web/app/components/app/duplicate-modal/index.tsx +++ b/web/app/components/app/duplicate-modal/index.tsx @@ -13,7 +13,7 @@ import { useProviderContext } from '@/context/provider-context' import AppsFull from '@/app/components/billing/apps-full-in-dialog' import type { AppIconType } from '@/types/app' -export type DuplicateAppModalProps = { +export interface DuplicateAppModalProps { appName: string icon_type: AppIconType | null icon: string diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index 383aeb1492c769..2862eebfa7b2dd 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -79,6 +79,9 @@ const HandThumbIconWithCount: FC<{ count: number; iconType: 'up' | 'down' }> = ( } const statusTdRender = (statusCount: StatusCount) => { + if (!statusCount) + return null + if (statusCount.partial_success + statusCount.failed === 0) { return ( <div className='inline-flex items-center gap-1 system-xs-semibold-uppercase'> diff --git a/web/app/components/app/overview/apikey-info-panel/index.tsx b/web/app/components/app/overview/apikey-info-panel/index.tsx index 661a88e82361a3..2ca098a313edfe 100644 --- a/web/app/components/app/overview/apikey-info-panel/index.tsx +++ b/web/app/components/app/overview/apikey-info-panel/index.tsx @@ -27,8 +27,8 @@ const APIKeyInfoPanel: FC = () => { return null return ( - <div className={cn('bg-[#EFF4FF] border-[#D1E0FF]', 'mb-6 relative rounded-2xl shadow-md border p-8 ')}> - <div className={cn('text-[24px] text-gray-800 font-semibold', isCloud ? 'flex items-center h-8 space-x-1' : 'leading-8 mb-6')}> + <div className={cn('bg-components-panel-bg border-components-panel-border', 'mb-6 relative rounded-2xl shadow-md border p-8 ')}> + <div className={cn('text-[24px] text-text-primary font-semibold', isCloud ? 'flex items-center h-8 space-x-1' : 'leading-8 mb-6')}> {isCloud && <em-emoji id={'😀'} />} {isCloud ? ( @@ -42,11 +42,11 @@ const APIKeyInfoPanel: FC = () => { )} </div> {isCloud && ( - <div className='mt-1 text-sm text-gray-600 font-normal'>{t(`appOverview.apiKeyInfo.cloud.${'trial'}.description`)}</div> + <div className='mt-1 text-sm text-text-tertiary font-normal'>{t(`appOverview.apiKeyInfo.cloud.${'trial'}.description`)}</div> )} <Button variant='primary' - className='space-x-2' + className='mt-2 space-x-2' onClick={() => setShowAccountSettingModal({ payload: 'provider' })} > <div className='text-sm font-medium'>{t('appOverview.apiKeyInfo.setAPIBtn')}</div> @@ -65,7 +65,7 @@ const APIKeyInfoPanel: FC = () => { <div onClick={() => setIsShow(false)} className='absolute right-4 top-4 flex items-center justify-center w-8 h-8 cursor-pointer '> - <RiCloseLine className='w-4 h-4 text-gray-500' /> + <RiCloseLine className='w-4 h-4 text-text-tertiary' /> </div> </div> ) diff --git a/web/app/components/app/overview/apikey-info-panel/progress/index.tsx b/web/app/components/app/overview/apikey-info-panel/progress/index.tsx deleted file mode 100644 index 3a4accbb43179c..00000000000000 --- a/web/app/components/app/overview/apikey-info-panel/progress/index.tsx +++ /dev/null @@ -1,29 +0,0 @@ -'use client' -import type { FC } from 'react' -import React from 'react' -import s from './style.module.css' -import cn from '@/utils/classnames' - -export type IProgressProps = { - className?: string - value: number // percent -} - -const Progress: FC<IProgressProps> = ({ - className, - value, -}) => { - const exhausted = value === 100 - return ( - <div className={cn(className, 'relative grow h-2 flex bg-gray-200 rounded-md overflow-hidden')}> - <div - className={cn(s.bar, exhausted && s['bar-error'], 'absolute top-0 left-0 right-0 bottom-0')} - style={{ width: `${value}%` }} - /> - {Array(10).fill(0).map((i, k) => ( - <div key={k} className={s['bar-item']} /> - ))} - </div> - ) -} -export default React.memo(Progress) diff --git a/web/app/components/app/overview/apikey-info-panel/progress/style.module.css b/web/app/components/app/overview/apikey-info-panel/progress/style.module.css deleted file mode 100644 index 94c3ef45cf8361..00000000000000 --- a/web/app/components/app/overview/apikey-info-panel/progress/style.module.css +++ /dev/null @@ -1,16 +0,0 @@ -.bar { - background: linear-gradient(90deg, rgba(41, 112, 255, 0.9) 0%, rgba(21, 94, 239, 0.9) 100%); -} - -.bar-error { - background: linear-gradient(90deg, rgba(240, 68, 56, 0.72) 0%, rgba(217, 45, 32, 0.9) 100%); -} - -.bar-item { - width: 10%; - border-right: 1px solid rgba(255, 255, 255, 0.5); -} - -.bar-item:last-of-type { - border-right: 0; -} \ No newline at end of file diff --git a/web/app/components/app/overview/appChart.tsx b/web/app/components/app/overview/appChart.tsx index 43b1cb6afe5b98..3d8de9077ab223 100644 --- a/web/app/components/app/overview/appChart.tsx +++ b/web/app/components/app/overview/appChart.tsx @@ -215,8 +215,8 @@ const Chart: React.FC<IChartProps> = ({ return `<div style='color:#6B7280;font-size:12px'>${params.name}</div> <div style='font-size:14px;color:#1F2A37'>${valueFormatter((params.data as any)[yField])} ${!CHART_TYPE_CONFIG[chartType].showTokens - ? '' - : `<span style='font-size:12px'> + ? '' + : `<span style='font-size:12px'> <span style='margin-left:4px;color:#6B7280'>(</span> <span style='color:#FF8A4C'>~$${get(params.data, 'total_price', 0)}</span> <span style='color:#6B7280'>)</span> @@ -230,7 +230,7 @@ const Chart: React.FC<IChartProps> = ({ const sumData = isAvg ? (sum(yData) / yData.length) : sum(yData) return ( - <div className={`flex flex-col w-full px-6 py-4 border-[0.5px] rounded-lg border-gray-200 shadow-xs ${className ?? ''}`}> + <div className={`flex flex-col w-full px-6 py-4 rounded-xl bg-components-chart-bg shadow-xs ${className ?? ''}`}> <div className='mb-3'> <Basic name={title} type={timePeriod} hoverTip={explanation} /> </div> @@ -241,11 +241,11 @@ const Chart: React.FC<IChartProps> = ({ type={!CHART_TYPE_CONFIG[chartType].showTokens ? '' : <span>{t('appOverview.analysis.tokenUsage.consumed')} Tokens<span className='text-sm'> - <span className='ml-1 text-gray-500'>(</span> - <span className='text-orange-400'>~{sum(statistics.map(item => parseFloat(get(item, 'total_price', '0')))).toLocaleString('en-US', { style: 'currency', currency: 'USD', minimumFractionDigits: 4 })}</span> - <span className='text-gray-500'>)</span> + <span className='ml-1 text-text-tertiary'>(</span> + <span className='text-orange-400'>~{sum(statistics.map(item => Number.parseFloat(get(item, 'total_price', '0')))).toLocaleString('en-US', { style: 'currency', currency: 'USD', minimumFractionDigits: 4 })}</span> + <span className='text-text-tertiary'>)</span> </span></span>} - textStyle={{ main: `!text-3xl !font-normal ${sumData === 0 ? '!text-gray-300' : ''}` }} /> + textStyle={{ main: `!text-3xl !font-normal ${sumData === 0 ? '!text-text-quaternary' : ''}` }} /> </div> <ReactECharts option={options} style={{ height: 160 }} /> </div> diff --git a/web/app/components/app/overview/customize/index.tsx b/web/app/components/app/overview/customize/index.tsx index d53aa00a6ffd8a..2925ba41eea2a2 100644 --- a/web/app/components/app/overview/customize/index.tsx +++ b/web/app/components/app/overview/customize/index.tsx @@ -21,7 +21,7 @@ type IShareLinkProps = { } const StepNum: FC<{ children: React.ReactNode }> = ({ children }) => - <div className='h-7 w-7 flex justify-center items-center flex-shrink-0 mr-3 text-primary-600 bg-primary-50 rounded-2xl'> + <div className='h-7 w-7 flex justify-center items-center shrink-0 mr-3 text-text-accent bg-util-colors-blue-blue-50 rounded-2xl'> {children} </div> @@ -54,27 +54,27 @@ const CustomizeModal: FC<IShareLinkProps> = ({ className='!max-w-2xl w-[640px]' closable={true} > - <div className='w-full mt-4 px-6 py-5 border-gray-200 rounded-lg border-[0.5px]'> - <Tag bordered={true} hideBg={true} className='text-primary-600 border-primary-600 uppercase'>{t(`${prefixCustomize}.way`)} 1</Tag> - <p className='my-2 text-base font-medium text-gray-800'>{t(`${prefixCustomize}.way1.name`)}</p> + <div className='w-full mt-4 px-6 py-5 border-components-panel-border rounded-lg border-[0.5px]'> + <Tag bordered={true} hideBg={true} className='text-text-accent-secondary border-text-accent-secondary uppercase'>{t(`${prefixCustomize}.way`)} 1</Tag> + <p className='my-2 system-sm-medium text-text-secondary'>{t(`${prefixCustomize}.way1.name`)}</p> <div className='flex py-4'> <StepNum>1</StepNum> <div className='flex flex-col'> - <div className='text-gray-900'>{t(`${prefixCustomize}.way1.step1`)}</div> - <div className='text-gray-500 text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step1Tip`)}</div> + <div className='text-text-primary'>{t(`${prefixCustomize}.way1.step1`)}</div> + <div className='text-text-tertiary text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step1Tip`)}</div> <a href={`https://github.com/langgenius/${isChatApp ? 'webapp-conversation' : 'webapp-text-generator'}`} target='_blank' rel='noopener noreferrer'> - <Button><GithubIcon className='text-gray-800 mr-2' />{t(`${prefixCustomize}.way1.step1Operation`)}</Button> + <Button><GithubIcon className='text-text-secondary mr-2' />{t(`${prefixCustomize}.way1.step1Operation`)}</Button> </a> </div> </div> <div className='flex pt-4'> <StepNum>2</StepNum> <div className='flex flex-col'> - <div className='text-gray-900'>{t(`${prefixCustomize}.way1.step3`)}</div> - <div className='text-gray-500 text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step2Tip`)}</div> + <div className='text-text-primary'>{t(`${prefixCustomize}.way1.step3`)}</div> + <div className='text-text-tertiary text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step2Tip`)}</div> <a href="https://vercel.com/docs/concepts/deployments/git/vercel-for-github" target='_blank' rel='noopener noreferrer'> <Button> - <div className='mr-1.5 border-solid border-t-0 border-r-[7px] border-l-[7px] border-b-[12px] border-r-transparent border-b-black border-l-transparent border-t-transparent'></div> + <div className='mr-1.5 border-solid border-t-0 border-r-[7px] border-l-[7px] border-b-[12px] border-r-transparent border-text-primary border-l-transparent border-t-transparent'></div> <span>{t(`${prefixCustomize}.way1.step2Operation`)}</span> </Button> </a> @@ -83,9 +83,9 @@ const CustomizeModal: FC<IShareLinkProps> = ({ <div className='flex py-4'> <StepNum>3</StepNum> <div className='flex flex-col w-full overflow-hidden'> - <div className='text-gray-900'>{t(`${prefixCustomize}.way1.step3`)}</div> - <div className='text-gray-500 text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step3Tip`)}</div> - <pre className='overflow-x-scroll box-border py-3 px-4 bg-gray-100 text-xs font-medium rounded-lg select-text'> + <div className='text-text-primary'>{t(`${prefixCustomize}.way1.step3`)}</div> + <div className='text-text-tertiary text-xs mt-1 mb-2'>{t(`${prefixCustomize}.way1.step3Tip`)}</div> + <pre className='overflow-x-scroll box-border py-3 px-4 bg-background-section text-xs font-medium rounded-lg select-text text-text-secondary border-[0.5px] border-components-panel-border'> NEXT_PUBLIC_APP_ID={`'${appId}'`} <br /> NEXT_PUBLIC_APP_KEY={'\'<Web API Key From Dify>\''} <br /> NEXT_PUBLIC_API_URL={`'${api_base_url}'`} @@ -94,9 +94,9 @@ const CustomizeModal: FC<IShareLinkProps> = ({ </div> </div> - <div className='w-full mt-4 px-6 py-5 border-gray-200 rounded-lg border-[0.5px]'> - <Tag bordered={true} hideBg={true} className='text-primary-600 border-primary-600 uppercase'>{t(`${prefixCustomize}.way`)} 2</Tag> - <p className='mt-2 text-base font-medium text-gray-800'>{t(`${prefixCustomize}.way2.name`)}</p> + <div className='w-full mt-4 px-6 py-5 border-components-panel-border rounded-lg border-[0.5px]'> + <Tag bordered={true} hideBg={true} className='text-text-accent-secondary border-text-accent-secondary uppercase'>{t(`${prefixCustomize}.way`)} 2</Tag> + <p className='my-2 system-sm-medium text-text-secondary'>{t(`${prefixCustomize}.way2.name`)}</p> <Button className='mt-2' onClick={() => @@ -109,8 +109,8 @@ const CustomizeModal: FC<IShareLinkProps> = ({ ) } > - <span className='text-sm text-gray-800'>{t(`${prefixCustomize}.way2.operation`)}</span> - <ArrowTopRightOnSquareIcon className='w-4 h-4 ml-1 text-gray-800 shrink-0' /> + <span className='text-sm text-text-secondary'>{t(`${prefixCustomize}.way2.operation`)}</span> + <ArrowTopRightOnSquareIcon className='w-4 h-4 ml-1 text-text-secondary shrink-0' /> </Button> </div> </Modal> diff --git a/web/app/components/app/overview/embedded/index.tsx b/web/app/components/app/overview/embedded/index.tsx index b71a3c3fdf9d28..06b06e28a86827 100644 --- a/web/app/components/app/overview/embedded/index.tsx +++ b/web/app/components/app/overview/embedded/index.tsx @@ -1,15 +1,19 @@ import React, { useEffect, useState } from 'react' import { useTranslation } from 'react-i18next' +import { + RiClipboardFill, + RiClipboardLine, +} from '@remixicon/react' import copy from 'copy-to-clipboard' import style from './style.module.css' -import cn from '@/utils/classnames' import Modal from '@/app/components/base/modal' -import copyStyle from '@/app/components/base/copy-btn/style.module.css' import Tooltip from '@/app/components/base/tooltip' import { useAppContext } from '@/context/app-context' import { IS_CE_EDITION } from '@/config' import type { SiteInfo } from '@/models/share' import { useThemeContext } from '@/app/components/base/chat/embedded-chatbot/theme/theme-context' +import ActionButton from '@/app/components/base/action-button' +import cn from '@/utils/classnames' type Props = { siteInfo?: SiteInfo @@ -35,12 +39,12 @@ const OPTION_MAP = { `<script> window.difyChatbotConfig = { token: '${token}'${isTestEnv - ? `, + ? `, isDev: true` - : ''}${IS_CE_EDITION - ? `, + : ''}${IS_CE_EDITION + ? `, baseUrl: '${url}'` - : ''} + : ''} } </script> <script @@ -119,7 +123,7 @@ const Embedded = ({ siteInfo, isShow, onClose, appBaseUrl, accessToken, classNam wrapperClassName={className} closable={true} > - <div className="mb-4 mt-8 text-gray-900 text-[14px] font-medium leading-tight"> + <div className="mb-4 mt-8 text-text-primary system-sm-medium"> {t(`${prefixEmbedded}.explanation`)} </div> <div className="flex flex-wrap items-center justify-between gap-y-2"> @@ -143,30 +147,37 @@ const Embedded = ({ siteInfo, isShow, onClose, appBaseUrl, accessToken, classNam {option === 'chromePlugin' && ( <div className="w-full mt-6"> <div className={cn('gap-2 py-3 justify-center items-center inline-flex w-full rounded-lg', - 'bg-primary-600 hover:bg-primary-600/75 hover:shadow-md cursor-pointer text-white hover:shadow-sm flex-shrink-0')}> + 'bg-primary-600 hover:bg-primary-600/75 cursor-pointer text-white hover:shadow-sm flex-shrink-0')}> <div className={`w-4 h-4 relative ${style.pluginInstallIcon}`}></div> <div className="text-white text-sm font-medium font-['Inter'] leading-tight" onClick={navigateToChromeUrl}>{t(`${prefixEmbedded}.chromePlugin`)}</div> </div> </div> )} - <div className={cn('w-full bg-gray-100 rounded-lg flex-col justify-start items-start inline-flex', + <div className={cn('w-full bg-background-section border-[0.5px] border-components-panel-border rounded-lg flex-col justify-start items-start inline-flex', 'mt-6')}> - <div className="inline-flex items-center self-stretch justify-start gap-2 py-1 pl-3 pr-1 border border-black rounded-tl-lg rounded-tr-lg bg-gray-50 border-opacity-5"> - <div className="grow shrink basis-0 text-slate-700 text-[13px] font-medium leading-none"> + <div className="inline-flex items-center self-stretch justify-start gap-2 py-1 pl-3 pr-1 rounded-t-lg bg-background-section-burn"> + <div className="grow shrink-0 text-text-secondary system-sm-medium"> {t(`${prefixEmbedded}.${option}`)} </div> - <div className="flex items-center justify-center gap-1 p-2 rounded-lg"> - <Tooltip - popupContent={(isCopied[option] ? t(`${prefixEmbedded}.copied`) : t(`${prefixEmbedded}.copy`)) || ''} - > - <div className="w-8 h-8 rounded-lg cursor-pointer hover:bg-gray-100"> - <div onClick={onClickCopy} className={`w-full h-full ${copyStyle.copyIcon} ${isCopied[option] ? copyStyle.copied : ''}`}></div> + <Tooltip + popupContent={ + (isCopied[option] + ? t(`${prefixEmbedded}.copied`) + : t(`${prefixEmbedded}.copy`)) || '' + } + > + <ActionButton> + <div + onClick={onClickCopy} + > + {isCopied[option] && <RiClipboardFill className='w-4 h-4' />} + {!isCopied[option] && <RiClipboardLine className='w-4 h-4' />} </div> - </Tooltip> - </div> + </ActionButton> + </Tooltip> </div> <div className="flex items-start justify-start w-full gap-2 p-3 overflow-x-auto"> - <div className="grow shrink basis-0 text-slate-700 text-[13px] leading-tight font-mono"> + <div className="grow shrink basis-0 text-text-secondary text-[13px] leading-tight font-mono"> <pre className='select-text'>{OPTION_MAP[option].getContent(appBaseUrl, accessToken, themeBuilder.theme?.primaryColor ?? '#1C64F2', isTestEnv)}</pre> </div> </div> diff --git a/web/app/components/app/overview/settings/index.tsx b/web/app/components/app/overview/settings/index.tsx index b798be31c7d86a..f1340c08be072f 100644 --- a/web/app/components/app/overview/settings/index.tsx +++ b/web/app/components/app/overview/settings/index.tsx @@ -355,7 +355,7 @@ const SettingsModal: FC<ISettingsModalProps> = ({ <div className={cn('py-1 text-text-secondary system-sm-semibold')}>{t(`${prefixSettings}.more.entry`)}</div> <p className={cn('pb-0.5 text-text-tertiary body-xs-regular')}>{t(`${prefixSettings}.more.copyRightPlaceholder`)} & {t(`${prefixSettings}.more.privacyPolicyPlaceholder`)}</p> </div> - <RiArrowRightSLine className='shrink-0 ml-1 w-4 h-4 text-text-secondary'/> + <RiArrowRightSLine className='shrink-0 ml-1 w-4 h-4 text-text-secondary' /> </div> )} {/* more settings */} diff --git a/web/app/components/app/store.ts b/web/app/components/app/store.ts index 5f02f92f0d47f7..3764895ac9f883 100644 --- a/web/app/components/app/store.ts +++ b/web/app/components/app/store.ts @@ -2,7 +2,7 @@ import { create } from 'zustand' import type { App, AppSSO } from '@/types/app' import type { IChatItem } from '@/app/components/base/chat/chat/type' -type State = { +interface State { appDetail?: App & Partial<AppSSO> appSidebarExpand: string currentLogItem?: IChatItem @@ -13,7 +13,7 @@ type State = { showAppConfigureFeaturesModal: boolean } -type Action = { +interface Action { setAppDetail: (appDetail?: App & Partial<AppSSO>) => void setAppSiderbarExpand: (state: string) => void setCurrentLogItem: (item?: IChatItem) => void diff --git a/web/app/components/app/switch-app-modal/index.tsx b/web/app/components/app/switch-app-modal/index.tsx index 5b450952516685..e1fe809e104d8d 100644 --- a/web/app/components/app/switch-app-modal/index.tsx +++ b/web/app/components/app/switch-app-modal/index.tsx @@ -25,7 +25,7 @@ import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/aler import AppIcon from '@/app/components/base/app-icon' import { useStore as useAppStore } from '@/app/components/app/store' -type SwitchAppModalProps = { +interface SwitchAppModalProps { show: boolean appDetail: App onSuccess?: () => void diff --git a/web/app/components/app/text-generate/item/index.tsx b/web/app/components/app/text-generate/item/index.tsx index 3e2f837685e4fb..5f0b6455707b49 100644 --- a/web/app/components/app/text-generate/item/index.tsx +++ b/web/app/components/app/text-generate/item/index.tsx @@ -33,7 +33,7 @@ import { useChatContext } from '@/app/components/base/chat/chat/context' const MAX_DEPTH = 3 -export type IGenerationItemProps = { +export interface IGenerationItemProps { isWorkflow?: boolean workflowProcessData?: WorkflowProcess className?: string diff --git a/web/app/components/app/type-selector/index.tsx b/web/app/components/app/type-selector/index.tsx index 9deb3e956fad39..74303c3735a77a 100644 --- a/web/app/components/app/type-selector/index.tsx +++ b/web/app/components/app/type-selector/index.tsx @@ -9,7 +9,7 @@ import { PortalToFollowElemTrigger, } from '@/app/components/base/portal-to-follow-elem' import { BubbleTextMod, ChatBot, ListSparkle, Logic } from '@/app/components/base/icons/src/vender/solid/communication' -import { type AppMode } from '@/types/app' +import type { AppMode } from '@/types/app' export type AppSelectorProps = { value: Array<AppMode> onChange: (value: AppSelectorProps['value']) => void diff --git a/web/app/components/app/workflow-log/detail.tsx b/web/app/components/app/workflow-log/detail.tsx index 2ee9f83c54a8b6..f5cf7c3a3b0c48 100644 --- a/web/app/components/app/workflow-log/detail.tsx +++ b/web/app/components/app/workflow-log/detail.tsx @@ -4,7 +4,7 @@ import { useTranslation } from 'react-i18next' import { RiCloseLine } from '@remixicon/react' import Run from '@/app/components/workflow/run' -type ILogDetail = { +interface ILogDetail { runID: string onClose: () => void } diff --git a/web/app/components/app/workflow-log/filter.tsx b/web/app/components/app/workflow-log/filter.tsx index 466e9b8fda9a21..d25f9387191542 100644 --- a/web/app/components/app/workflow-log/filter.tsx +++ b/web/app/components/app/workflow-log/filter.tsx @@ -6,7 +6,7 @@ import type { QueryParam } from './index' import Chip from '@/app/components/base/chip' import Input from '@/app/components/base/input' -type IFilterProps = { +interface IFilterProps { queryParams: QueryParam setQueryParams: (v: QueryParam) => void } diff --git a/web/app/components/base/action-button/index.css b/web/app/components/base/action-button/index.css index 96fbb14c6c956f..13f333b11d0654 100644 --- a/web/app/components/base/action-button/index.css +++ b/web/app/components/base/action-button/index.css @@ -2,9 +2,7 @@ @layer components { .action-btn { - @apply inline-flex justify-center items-center cursor-pointer text-text-tertiary - hover:text-text-secondary - hover:bg-state-base-hover + @apply inline-flex justify-center items-center cursor-pointer text-text-tertiary hover:text-text-secondary hover:bg-state-base-hover } .action-btn-disabled { @@ -29,21 +27,15 @@ } .action-btn.action-btn-active { - @apply - text-text-accent - bg-state-accent-active - hover:bg-state-accent-active-alt + @apply text-text-accent bg-state-accent-active hover:bg-state-accent-active-alt } .action-btn.action-btn-disabled { - @apply - text-text-disabled + @apply text-text-disabled } .action-btn.action-btn-destructive { - @apply - text-text-destructive - bg-state-destructive-hover + @apply text-text-destructive bg-state-destructive-hover } } \ No newline at end of file diff --git a/web/app/components/base/action-button/index.tsx b/web/app/components/base/action-button/index.tsx index 9e4552a2b7494b..845edfbd6da96f 100644 --- a/web/app/components/base/action-button/index.tsx +++ b/web/app/components/base/action-button/index.tsx @@ -28,7 +28,7 @@ const actionButtonVariants = cva( ) export type ActionButtonProps = { - size?: 'xs' | 'm' | 'l' | 'xl' + size?: 'xs' | 's' | 'm' | 'l' | 'xl' state?: ActionButtonState styleCss?: CSSProperties } & React.ButtonHTMLAttributes<HTMLButtonElement> & VariantProps<typeof actionButtonVariants> diff --git a/web/app/components/base/agent-log-modal/detail.tsx b/web/app/components/base/agent-log-modal/detail.tsx index e90f593ad00a2c..62bdb4b172b9a6 100644 --- a/web/app/components/base/agent-log-modal/detail.tsx +++ b/web/app/components/base/agent-log-modal/detail.tsx @@ -81,26 +81,26 @@ const AgentLogDetail: FC<AgentLogDetailProps> = ({ return ( <div className='grow relative flex flex-col'> {/* tab */} - <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-[rgba(0,0,0,0.05)]'> + <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-divider-regular'> <div className={cn( - 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', - currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-gray-700', + 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-text-tertiary cursor-pointer', + currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-text-secondary', )} onClick={() => switchTab('DETAIL')} >{t('runLog.detail')}</div> <div className={cn( - 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', - currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-gray-700', + 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-text-tertiary cursor-pointer', + currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-text-secondary', )} onClick={() => switchTab('TRACING')} >{t('runLog.tracing')}</div> </div> {/* panel detail */} - <div className={cn('grow bg-white h-0 overflow-y-auto rounded-b-2xl', currentTab !== 'DETAIL' && '!bg-gray-50')}> + <div className={cn('grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl', currentTab !== 'DETAIL' && '!bg-background-section')}> {loading && ( - <div className='flex h-full items-center justify-center bg-white'> + <div className='flex h-full items-center justify-center bg-components-panel-bg'> <Loading /> </div> )} diff --git a/web/app/components/base/agent-log-modal/index.tsx b/web/app/components/base/agent-log-modal/index.tsx index bbe1167f57a8a0..3e62a7f121e2e0 100644 --- a/web/app/components/base/agent-log-modal/index.tsx +++ b/web/app/components/base/agent-log-modal/index.tsx @@ -35,7 +35,7 @@ const AgentLogModal: FC<AgentLogModalProps> = ({ return ( <div - className={cn('relative flex flex-col py-3 bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl z-10')} + className={cn('relative flex flex-col py-3 bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl z-10')} style={{ width: 480, position: 'fixed', @@ -45,9 +45,9 @@ const AgentLogModal: FC<AgentLogModalProps> = ({ }} ref={ref} > - <h1 className='shrink-0 px-4 py-1 text-md font-semibold text-gray-900'>{t('appLog.runDetail.workflowTitle')}</h1> + <h1 className='shrink-0 px-4 py-1 text-md font-semibold text-text-primary'>{t('appLog.runDetail.workflowTitle')}</h1> <span className='absolute right-3 top-4 p-1 cursor-pointer z-20' onClick={onCancel}> - <RiCloseLine className='w-4 h-4 text-gray-500' /> + <RiCloseLine className='w-4 h-4 text-text-tertiary' /> </span> <AgentLogDetail conversationID={currentLogItem.conversationId} diff --git a/web/app/components/base/agent-log-modal/iteration.tsx b/web/app/components/base/agent-log-modal/iteration.tsx index 2bb04d1f8724a9..b2647ad21afa04 100644 --- a/web/app/components/base/agent-log-modal/iteration.tsx +++ b/web/app/components/base/agent-log-modal/iteration.tsx @@ -2,8 +2,9 @@ import { useTranslation } from 'react-i18next' import type { FC } from 'react' import ToolCall from './tool-call' -import cn from '@/utils/classnames' +import Divider from '@/app/components/base/divider' import type { AgentIteration } from '@/models/log' +import cn from '@/utils/classnames' type Props = { isFinal: boolean @@ -18,12 +19,12 @@ const Iteration: FC<Props> = ({ iterationInfo, isFinal, index }) => { <div className={cn('px-4 py-2')}> <div className='flex items-center'> {isFinal && ( - <div className='shrink-0 mr-3 text-gray-500 text-xs leading-[18px] font-semibold'>{t('appLog.agentLogDetail.finalProcessing')}</div> + <div className='shrink-0 mr-3 text-text-tertiary text-xs leading-[18px] font-semibold'>{t('appLog.agentLogDetail.finalProcessing')}</div> )} {!isFinal && ( - <div className='shrink-0 mr-3 text-gray-500 text-xs leading-[18px] font-semibold'>{`${t('appLog.agentLogDetail.iteration').toUpperCase()} ${index}`}</div> + <div className='shrink-0 mr-3 text-text-tertiary text-xs leading-[18px] font-semibold'>{`${t('appLog.agentLogDetail.iteration').toUpperCase()} ${index}`}</div> )} - <div className='grow h-[1px] bg-gradient-to-r from-[#f3f4f6] to-gray-50'></div> + <Divider bgStyle='gradient' className='grow h-[1px] mx-0'/> </div> <ToolCall isLLM diff --git a/web/app/components/base/agent-log-modal/result.tsx b/web/app/components/base/agent-log-modal/result.tsx index 7cba63ba9598ea..45953cee6c6ce2 100644 --- a/web/app/components/base/agent-log-modal/result.tsx +++ b/web/app/components/base/agent-log-modal/result.tsx @@ -36,7 +36,7 @@ const ResultPanel: FC<ResultPanelProps> = ({ const { formatTime } = useTimestamp() return ( - <div className='bg-white py-2'> + <div className='bg-components-panel-bg py-2'> <div className='px-4 py-2'> <StatusPanel status='succeeded' @@ -62,57 +62,57 @@ const ResultPanel: FC<ResultPanelProps> = ({ /> </div> <div className='px-4 py-2'> - <div className='h-[0.5px] bg-black opacity-5' /> + <div className='h-[0.5px] bg-divider-regular opacity-5' /> </div> <div className='px-4 py-2'> <div className='relative'> - <div className='h-6 leading-6 text-gray-500 text-xs font-medium'>{t('runLog.meta.title')}</div> + <div className='h-6 leading-6 text-text-tertiary text-xs font-medium'>{t('runLog.meta.title')}</div> <div className='py-1'> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.status')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.status')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>SUCCESS</span> </div> </div> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.executor')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.executor')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>{created_by || 'N/A'}</span> </div> </div> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.startTime')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.startTime')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>{formatTime(Date.parse(created_at) / 1000, t('appLog.dateTimeFormat') as string)}</span> </div> </div> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.time')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.time')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>{`${elapsed_time?.toFixed(3)}s`}</span> </div> </div> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('runLog.meta.tokens')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('runLog.meta.tokens')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>{`${total_tokens || 0} Tokens`}</span> </div> </div> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.agentMode')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.agentMode')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>{agentMode === 'function_call' ? t('appDebug.agent.agentModeType.functionCall') : t('appDebug.agent.agentModeType.ReACT')}</span> </div> </div> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.toolUsed')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.toolUsed')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>{tools?.length ? tools?.join(', ') : 'Null'}</span> </div> </div> <div className='flex'> - <div className='shrink-0 w-[104px] px-2 py-[5px] text-gray-500 text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.iterations')}</div> - <div className='grow px-2 py-[5px] text-gray-900 text-xs leading-[18px]'> + <div className='shrink-0 w-[104px] px-2 py-[5px] text-text-tertiary text-xs leading-[18px] truncate'>{t('appLog.agentLogDetail.iterations')}</div> + <div className='grow px-2 py-[5px] text-text-primary text-xs leading-[18px]'> <span>{iterations}</span> </div> </div> diff --git a/web/app/components/base/agent-log-modal/tool-call.tsx b/web/app/components/base/agent-log-modal/tool-call.tsx index 8d8e583126cc0a..d77a3f60b9c0a5 100644 --- a/web/app/components/base/agent-log-modal/tool-call.tsx +++ b/web/app/components/base/agent-log-modal/tool-call.tsx @@ -33,7 +33,7 @@ const ToolCallItem: FC<Props> = ({ toolCall, isLLM = false, isFinal, tokens, obs if (time < 1) return `${(time * 1000).toFixed(3)} ms` if (time > 60) - return `${parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s` + return `${Number.parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s` return `${time.toFixed(3)} s` } @@ -41,14 +41,14 @@ const ToolCallItem: FC<Props> = ({ toolCall, isLLM = false, isFinal, tokens, obs if (tokens < 1000) return tokens if (tokens >= 1000 && tokens < 1000000) - return `${parseFloat((tokens / 1000).toFixed(3))}K` + return `${Number.parseFloat((tokens / 1000).toFixed(3))}K` if (tokens >= 1000000) - return `${parseFloat((tokens / 1000000).toFixed(3))}M` + return `${Number.parseFloat((tokens / 1000000).toFixed(3))}M` } return ( <div className={cn('py-1')}> - <div className={cn('group transition-all bg-white border border-gray-100 rounded-2xl shadow-xs hover:shadow-md')}> + <div className={cn('group transition-all bg-background-default border border-components-panel-border rounded-2xl shadow-xs hover:shadow-md')}> <div className={cn( 'flex items-center py-3 pl-[6px] pr-3 cursor-pointer', @@ -58,15 +58,15 @@ const ToolCallItem: FC<Props> = ({ toolCall, isLLM = false, isFinal, tokens, obs > <ChevronRight className={cn( - 'shrink-0 w-3 h-3 mr-1 text-gray-400 transition-all group-hover:text-gray-500', + 'shrink-0 w-3 h-3 mr-1 text-text-quaternary transition-all group-hover:text-text-tertiary', !collapseState && 'rotate-90', )} /> <BlockIcon className={cn('shrink-0 mr-2')} type={isLLM ? BlockEnum.LLM : BlockEnum.Tool} toolIcon={toolCall.tool_icon} /> <div className={cn( - 'grow text-gray-700 text-[13px] leading-[16px] font-semibold truncate', + 'grow text-text-secondary text-[13px] leading-[16px] font-semibold truncate', )} title={toolName}>{toolName}</div> - <div className='shrink-0 text-gray-500 text-xs leading-[18px]'> + <div className='shrink-0 text-text-tertiary text-xs leading-[18px]'> {toolCall.time_cost && ( <span>{getTime(toolCall.time_cost || 0)}</span> )} diff --git a/web/app/components/base/agent-log-modal/tracing.tsx b/web/app/components/base/agent-log-modal/tracing.tsx index 59cffa00553c3c..c390d256e1c4aa 100644 --- a/web/app/components/base/agent-log-modal/tracing.tsx +++ b/web/app/components/base/agent-log-modal/tracing.tsx @@ -9,7 +9,7 @@ type TracingPanelProps = { const TracingPanel: FC<TracingPanelProps> = ({ list }) => { return ( - <div className='bg-gray-50'> + <div className='bg-background-section'> {list.map((iteration, index) => ( <Iteration key={index} diff --git a/web/app/components/base/app-icon/style.module.css b/web/app/components/base/app-icon/style.module.css new file mode 100644 index 00000000000000..151bc6d3fcf397 --- /dev/null +++ b/web/app/components/base/app-icon/style.module.css @@ -0,0 +1,23 @@ +.appIcon { + @apply flex items-center justify-center relative w-9 h-9 text-lg rounded-lg grow-0 shrink-0; +} + +.appIcon.large { + @apply w-10 h-10; +} + +.appIcon.small { + @apply w-8 h-8; +} + +.appIcon.tiny { + @apply w-6 h-6 text-base; +} + +.appIcon.xs { + @apply w-5 h-5 text-base; +} + +.appIcon.rounded { + @apply rounded-full; +} \ No newline at end of file diff --git a/web/app/components/base/audio-btn/audio.player.manager.ts b/web/app/components/base/audio-btn/audio.player.manager.ts index 17d92f8dc25f73..9b3349754f60b1 100644 --- a/web/app/components/base/audio-btn/audio.player.manager.ts +++ b/web/app/components/base/audio-btn/audio.player.manager.ts @@ -1,6 +1,6 @@ import AudioPlayer from '@/app/components/base/audio-btn/audio' declare global { - // eslint-disable-next-line @typescript-eslint/consistent-type-definitions + // eslint-disable-next-line ts/consistent-type-definitions interface AudioPlayerManager { instance: AudioPlayerManager } @@ -12,6 +12,7 @@ export class AudioPlayerManager { private audioPlayers: AudioPlayer | null = null private msgId: string | undefined + // eslint-disable-next-line private constructor() { } diff --git a/web/app/components/base/audio-btn/audio.ts b/web/app/components/base/audio-btn/audio.ts index baf675d0be92d2..d7fae02f82af00 100644 --- a/web/app/components/base/audio-btn/audio.ts +++ b/web/app/components/base/audio-btn/audio.ts @@ -2,7 +2,7 @@ import Toast from '@/app/components/base/toast' import { textToAudioStream } from '@/service/share' declare global { - // eslint-disable-next-line @typescript-eslint/consistent-type-definitions + // eslint-disable-next-line ts/consistent-type-definitions interface Window { ManagedMediaSource: any } diff --git a/web/app/components/base/audio-btn/index.tsx b/web/app/components/base/audio-btn/index.tsx index 593411ed4d5245..40a7b96666f3a4 100644 --- a/web/app/components/base/audio-btn/index.tsx +++ b/web/app/components/base/audio-btn/index.tsx @@ -7,7 +7,7 @@ import Tooltip from '@/app/components/base/tooltip' import Loading from '@/app/components/base/loading' import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager' -type AudioBtnProps = { +interface AudioBtnProps { id?: string voice?: string value?: string diff --git a/web/app/components/base/audio-gallery/AudioPlayer.module.css b/web/app/components/base/audio-gallery/AudioPlayer.module.css index 6c070e107c3d9b..c5dd277fd60d40 100644 --- a/web/app/components/base/audio-gallery/AudioPlayer.module.css +++ b/web/app/components/base/audio-gallery/AudioPlayer.module.css @@ -2,15 +2,15 @@ display: flex; flex-direction: row; align-items: center; - background-color: #ffffff; + background-color: var(--color-components-chat-input-audio-bg-alt); border-radius: 10px; padding: 8px; min-width: 240px; max-width: 420px; max-height: 40px; backdrop-filter: blur(5px); - border: 1px solid rgba(16, 24, 40, 0.08); - box-shadow: 0 1px 2px rgba(9, 9, 11, 0.05); + border: 1px solid var(--color-components-panel-border-subtle); + box-shadow: 0 1px 2px var(--color-shadow-shadow-3); gap: 8px; } @@ -19,8 +19,8 @@ width: 16px; height: 16px; border-radius: 50%; - background-color: #296DFF; - color: white; + background-color: var(--color-components-button-primary-bg); + color: var(--color-components-chat-input-audio-bg-alt); border: none; cursor: pointer; align-items: center; @@ -30,16 +30,15 @@ } .playButton:hover { - background-color: #3367d6; + background-color: var(--color-components-button-primary-bg-hover); } .playButton:disabled { - background-color: #bdbdbf; + background-color: var(--color-components-button-primary-bg-disabled); } .audioControls { flex-grow: 1; - } .progressBarContainer { @@ -76,8 +75,8 @@ .timeDisplay { /* position: absolute; */ - color: #296DFF; - border-radius: 2px; + color: var(--color-text-accent-secondary); + font-size: 12px; order: 0; height: 100%; width: 50px; @@ -97,7 +96,6 @@ } */ .duration { - background-color: rgba(255, 255, 255, 0.8); padding: 2px 4px; border-radius: 10px; } @@ -114,6 +112,6 @@ } .playButton svg path, -.playButton svg rect{ - fill:currentColor; -} +.playButton svg rect { + fill: currentColor; +} \ No newline at end of file diff --git a/web/app/components/base/audio-gallery/AudioPlayer.tsx b/web/app/components/base/audio-gallery/AudioPlayer.tsx index c482981e8a3f26..95d4c69c83a1fb 100644 --- a/web/app/components/base/audio-gallery/AudioPlayer.tsx +++ b/web/app/components/base/audio-gallery/AudioPlayer.tsx @@ -55,7 +55,7 @@ const AudioPlayer: React.FC<AudioPlayerProps> = ({ src }) => { audio.load() // Delayed generation of waveform data - // eslint-disable-next-line @typescript-eslint/no-use-before-define + // eslint-disable-next-line ts/no-use-before-define const timer = setTimeout(() => generateWaveformData(src), 1000) return () => { diff --git a/web/app/components/base/badge.tsx b/web/app/components/base/badge.tsx index 787b005a8f731b..fe034ad2f48547 100644 --- a/web/app/components/base/badge.tsx +++ b/web/app/components/base/badge.tsx @@ -1,11 +1,13 @@ +import type { ReactNode } from 'react' import { memo } from 'react' import cn from '@/utils/classnames' type BadgeProps = { className?: string - text?: string - children?: React.ReactNode + text?: ReactNode + children?: ReactNode uppercase?: boolean + hasRedCornerMark?: boolean } const Badge = ({ @@ -13,15 +15,20 @@ const Badge = ({ text, children, uppercase = true, + hasRedCornerMark, }: BadgeProps) => { return ( <div className={cn( - 'inline-flex items-center px-[5px] h-5 rounded-[5px] border border-divider-deep leading-3 text-text-tertiary', + 'relative inline-flex items-center px-[5px] h-5 rounded-[5px] border border-divider-deep leading-3 text-text-tertiary', uppercase ? 'system-2xs-medium-uppercase' : 'system-xs-medium', className, )} > + {hasRedCornerMark && ( + <div className='absolute top-[-2px] right-[-2px] w-1.5 h-1.5 border border-components-badge-status-light-error-border-inner bg-components-badge-status-light-error-bg rounded-[2px] shadow-sm'> + </div> + )} {children || text} </div> ) diff --git a/web/app/components/base/badge/index.css b/web/app/components/base/badge/index.css new file mode 100644 index 00000000000000..99db573c9c79a9 --- /dev/null +++ b/web/app/components/base/badge/index.css @@ -0,0 +1,28 @@ +@tailwind components; + +@layer components { + .badge { + @apply inline-flex justify-center items-center text-text-tertiary border border-divider-deep + } + + .badge-l { + @apply rounded-md gap-1 min-w-6 + } + + /* m is for the regular button */ + .badge-m { + @apply rounded-md gap-[3px] min-w-5 + } + + .badge-s { + @apply rounded-[5px] gap-0.5 min-w-[18px] + } + + .badge.badge-warning { + @apply text-text-warning border border-text-warning + } + + .badge.badge-accent { + @apply text-text-accent-secondary border border-text-accent-secondary + } +} \ No newline at end of file diff --git a/web/app/components/base/badge/index.tsx b/web/app/components/base/badge/index.tsx new file mode 100644 index 00000000000000..88ba026e14b323 --- /dev/null +++ b/web/app/components/base/badge/index.tsx @@ -0,0 +1,81 @@ +import type { CSSProperties, ReactNode } from 'react' +import React from 'react' +import { type VariantProps, cva } from 'class-variance-authority' +import classNames from '@/utils/classnames' +import './index.css' + +enum BadgeState { + Warning = 'warning', + Accent = 'accent', + Default = '', +} + +const BadgeVariants = cva( + 'badge', + { + variants: { + size: { + s: 'badge-s', + m: 'badge-m', + l: 'badge-l', + }, + }, + defaultVariants: { + size: 'm', + }, + }, +) + +type BadgeProps = { + size?: 's' | 'm' | 'l' + iconOnly?: boolean + uppercase?: boolean + state?: BadgeState + styleCss?: CSSProperties + children?: ReactNode +} & React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof BadgeVariants> + +function getBadgeState(state: BadgeState) { + switch (state) { + case BadgeState.Warning: + return 'badge-warning' + case BadgeState.Accent: + return 'badge-accent' + default: + return '' + } +} + +const Badge: React.FC<BadgeProps> = ({ + className, + size, + state = BadgeState.Default, + iconOnly = false, + uppercase = false, + styleCss, + children, + ...props +}) => { + return ( + <div + className={classNames( + BadgeVariants({ size, className }), + getBadgeState(state), + size === 's' + ? (iconOnly ? 'p-[3px]' : 'px-[5px] py-[3px]') + : size === 'l' + ? (iconOnly ? 'p-1.5' : 'px-2 py-1') + : (iconOnly ? 'p-1' : 'px-[5px] py-[2px]'), + uppercase ? 'system-2xs-medium-uppercase' : 'system-2xs-medium', + )} + style={styleCss} + {...props} + > + {children} + </div> + ) +} +Badge.displayName = 'Badge' + +export default Badge +export { Badge, BadgeState, BadgeVariants } diff --git a/web/app/components/base/button/add-button.tsx b/web/app/components/base/button/add-button.tsx index ab0e247d5fff65..0b06a493add83e 100644 --- a/web/app/components/base/button/add-button.tsx +++ b/web/app/components/base/button/add-button.tsx @@ -4,7 +4,7 @@ import React from 'react' import { RiAddLine } from '@remixicon/react' import cn from '@/utils/classnames' -type Props = { +interface Props { className?: string onClick: () => void } diff --git a/web/app/components/base/chat/__tests__/utils.spec.ts b/web/app/components/base/chat/__tests__/utils.spec.ts index 0bff8a77a19303..990e59d5ee7c4b 100644 --- a/web/app/components/base/chat/__tests__/utils.spec.ts +++ b/web/app/components/base/chat/__tests__/utils.spec.ts @@ -263,7 +263,7 @@ describe('build chat item tree and get thread messages', () => { expect(tree7).toMatchSnapshot() }) - const partialMessages2 = (partialMessages as ChatItemInTree[]) + const partialMessages2 = partialMessages as ChatItemInTree[] const tree8 = buildChatItemTree(partialMessages2) it('should work with partial messages 2', () => { expect(tree8).toMatchSnapshot() diff --git a/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx b/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx index 9be0ff319b2849..2e6df72bfbda7b 100644 --- a/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx +++ b/web/app/components/base/chat/chat-with-history/config-panel/form-input.tsx @@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next' import { memo } from 'react' import Textarea from '@/app/components/base/textarea' -type InputProps = { +interface InputProps { form: any value: string onChange: (variable: string, value: string) => void diff --git a/web/app/components/base/chat/chat/answer/agent-content.tsx b/web/app/components/base/chat/chat/answer/agent-content.tsx index 6f03c938f10230..5e71cf65262f3b 100644 --- a/web/app/components/base/chat/chat/answer/agent-content.tsx +++ b/web/app/components/base/chat/chat/answer/agent-content.tsx @@ -8,7 +8,7 @@ import Thought from '@/app/components/base/chat/chat/thought' import { FileList } from '@/app/components/base/file-uploader' import { getProcessedFilesFromResponse } from '@/app/components/base/file-uploader/utils' -type AgentContentProps = { +interface AgentContentProps { item: ChatItem responding?: boolean } diff --git a/web/app/components/base/chat/chat/answer/basic-content.tsx b/web/app/components/base/chat/chat/answer/basic-content.tsx index 6c8a44cf52379a..943262cf0c052b 100644 --- a/web/app/components/base/chat/chat/answer/basic-content.tsx +++ b/web/app/components/base/chat/chat/answer/basic-content.tsx @@ -4,7 +4,7 @@ import type { ChatItem } from '../../types' import { Markdown } from '@/app/components/base/markdown' import cn from '@/utils/classnames' -type BasicContentProps = { +interface BasicContentProps { item: ChatItem } const BasicContent: FC<BasicContentProps> = ({ diff --git a/web/app/components/base/chat/chat/answer/operation.tsx b/web/app/components/base/chat/chat/answer/operation.tsx index dcd3df64820e3d..9886b755b586ed 100644 --- a/web/app/components/base/chat/chat/answer/operation.tsx +++ b/web/app/components/base/chat/chat/answer/operation.tsx @@ -21,7 +21,7 @@ import { import Tooltip from '@/app/components/base/tooltip' import Log from '@/app/components/base/chat/chat/log' -type OperationProps = { +interface OperationProps { item: ChatItem question: string index: number diff --git a/web/app/components/base/chat/chat/answer/workflow-process.tsx b/web/app/components/base/chat/chat/answer/workflow-process.tsx index 4dcac1aafc7eed..270d168644b75d 100644 --- a/web/app/components/base/chat/chat/answer/workflow-process.tsx +++ b/web/app/components/base/chat/chat/answer/workflow-process.tsx @@ -1,5 +1,4 @@ import { - useCallback, useEffect, useMemo, useState, @@ -15,7 +14,6 @@ import TracingPanel from '@/app/components/workflow/run/tracing-panel' import cn from '@/utils/classnames' import { CheckCircle } from '@/app/components/base/icons/src/vender/solid/general' import { WorkflowRunningStatus } from '@/app/components/workflow/types' -import { useStore as useAppStore } from '@/app/components/app/store' type WorkflowProcessProps = { data: WorkflowProcess @@ -27,7 +25,6 @@ type WorkflowProcessProps = { } const WorkflowProcessItem = ({ data, - item, expand = false, hideInfo = false, hideProcessDetail = false, @@ -56,22 +53,6 @@ const WorkflowProcessItem = ({ setCollapse(!expand) }, [expand]) - const setCurrentLogItem = useAppStore(s => s.setCurrentLogItem) - const setShowMessageLogModal = useAppStore(s => s.setShowMessageLogModal) - const setCurrentLogModalActiveTab = useAppStore(s => s.setCurrentLogModalActiveTab) - - const showIterationDetail = useCallback(() => { - setCurrentLogItem(item) - setCurrentLogModalActiveTab('TRACING') - setShowMessageLogModal(true) - }, [item, setCurrentLogItem, setCurrentLogModalActiveTab, setShowMessageLogModal]) - - const showRetryDetail = useCallback(() => { - setCurrentLogItem(item) - setCurrentLogModalActiveTab('TRACING') - setShowMessageLogModal(true) - }, [item, setCurrentLogItem, setCurrentLogModalActiveTab, setShowMessageLogModal]) - return ( <div className={cn( @@ -112,8 +93,6 @@ const WorkflowProcessItem = ({ { <TracingPanel list={data.tracing} - onShowIterationDetail={showIterationDetail} - onShowRetryDetail={showRetryDetail} hideNodeInfo={hideInfo} hideNodeProcessDetail={hideProcessDetail} /> diff --git a/web/app/components/base/chat/chat/chat-input-area/index.tsx b/web/app/components/base/chat/chat/chat-input-area/index.tsx index 0d341d1b83cd09..0355de4c4acb21 100644 --- a/web/app/components/base/chat/chat/chat-input-area/index.tsx +++ b/web/app/components/base/chat/chat/chat-input-area/index.tsx @@ -173,7 +173,7 @@ const ChatInputArea = ({ <Textarea ref={textareaRef} className={cn( - 'p-1 w-full leading-6 body-lg-regular text-text-tertiary outline-none', + 'p-1 w-full leading-6 body-lg-regular text-text-tertiary bg-transparent outline-none', )} placeholder={t('common.chat.inputPlaceholder') || ''} autoFocus diff --git a/web/app/components/base/chat/chat/index.tsx b/web/app/components/base/chat/chat/index.tsx index e6de01252dbd09..d728375763e176 100644 --- a/web/app/components/base/chat/chat/index.tsx +++ b/web/app/components/base/chat/chat/index.tsx @@ -251,11 +251,8 @@ const Chat: FC<ChatProps> = ({ </div> </div> <div - className={`absolute bottom-0 ${(hasTryToAsk || !noChatInput || !noStopResponding) && chatFooterClassName}`} + className={`absolute bottom-0 bg-chat-input-mask ${(hasTryToAsk || !noChatInput || !noStopResponding) && chatFooterClassName}`} ref={chatFooterRef} - style={{ - background: 'linear-gradient(0deg, #F9FAFB 40%, rgba(255, 255, 255, 0.00) 100%)', - }} > <div ref={chatFooterInnerRef} diff --git a/web/app/components/base/chat/chat/question.tsx b/web/app/components/base/chat/chat/question.tsx index 7052c1fb5e8003..3df5aa215c527e 100644 --- a/web/app/components/base/chat/chat/question.tsx +++ b/web/app/components/base/chat/chat/question.tsx @@ -12,7 +12,7 @@ import { User } from '@/app/components/base/icons/src/public/avatar' import { Markdown } from '@/app/components/base/markdown' import { FileList } from '@/app/components/base/file-uploader' -type QuestionProps = { +interface QuestionProps { item: ChatItem questionIcon?: ReactNode theme: Theme | null | undefined diff --git a/web/app/components/base/chat/chat/thought/index.tsx b/web/app/components/base/chat/chat/thought/index.tsx index 409f83dfaa65fc..dbadd3465e6570 100644 --- a/web/app/components/base/chat/chat/thought/index.tsx +++ b/web/app/components/base/chat/chat/thought/index.tsx @@ -4,7 +4,7 @@ import React from 'react' import type { ThoughtItem, ToolInfoInThought } from '../type' import ToolDetail from '@/app/components/base/chat/chat/answer/tool-detail' -export type IThoughtProps = { +export interface IThoughtProps { thought: ThoughtItem isFinished: boolean } diff --git a/web/app/components/base/chat/chat/type.ts b/web/app/components/base/chat/chat/type.ts index 7f22ba05b7a051..bd61ae6e9788a1 100644 --- a/web/app/components/base/chat/chat/type.ts +++ b/web/app/components/base/chat/chat/type.ts @@ -4,13 +4,13 @@ import type { FileEntity } from '@/app/components/base/file-uploader/types' import type { InputVarType } from '@/app/components/workflow/types' import type { FileResponse } from '@/types/workflow' -export type MessageMore = { +export interface MessageMore { time: string tokens: number latency: number | string } -export type FeedbackType = { +export interface FeedbackType { rating: MessageRating content?: string | null } @@ -26,7 +26,7 @@ export type SubmitAnnotationFunc = ( export type DisplayScene = 'web' | 'console' -export type ToolInfoInThought = { +export interface ToolInfoInThought { name: string label: string input: string @@ -34,7 +34,7 @@ export type ToolInfoInThought = { isFinished: boolean } -export type ThoughtItem = { +export interface ThoughtItem { id: string tool: string // plugin or dataset. May has multi. thought: string @@ -47,7 +47,7 @@ export type ThoughtItem = { message_files?: FileEntity[] } -export type CitationItem = { +export interface CitationItem { content: string data_source_type: string dataset_name: string @@ -62,7 +62,7 @@ export type CitationItem = { word_count: number } -export type IChatItem = { +export interface IChatItem { id: string content: string citation?: CitationItem[] @@ -104,7 +104,7 @@ export type IChatItem = { nextSibling?: string } -export type Metadata = { +export interface Metadata { retriever_resources?: CitationItem[] annotation_reply: { id: string @@ -115,20 +115,20 @@ export type Metadata = { } } -export type MessageEnd = { +export interface MessageEnd { id: string metadata: Metadata files?: FileResponse[] } -export type MessageReplace = { +export interface MessageReplace { id: string task_id: string answer: string conversation_id: string } -export type AnnotationReply = { +export interface AnnotationReply { id: string task_id: string answer: string @@ -137,7 +137,7 @@ export type AnnotationReply = { annotation_author_name: string } -export type InputForm = { +export interface InputForm { type: InputVarType label: string variable: any diff --git a/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx b/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx index 9be0ff319b2849..2e6df72bfbda7b 100644 --- a/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx +++ b/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx @@ -3,7 +3,7 @@ import { useTranslation } from 'react-i18next' import { memo } from 'react' import Textarea from '@/app/components/base/textarea' -type InputProps = { +interface InputProps { form: any value: string onChange: (variable: string, value: string) => void diff --git a/web/app/components/base/chat/embedded-chatbot/context.tsx b/web/app/components/base/chat/embedded-chatbot/context.tsx index f48247a6912815..546f9c7c70c5fd 100644 --- a/web/app/components/base/chat/embedded-chatbot/context.tsx +++ b/web/app/components/base/chat/embedded-chatbot/context.tsx @@ -15,7 +15,7 @@ import type { ConversationItem, } from '@/models/share' -export type EmbeddedChatbotContextValue = { +export interface EmbeddedChatbotContextValue { appInfoError?: any appInfoLoading?: boolean appMeta?: AppMeta diff --git a/web/app/components/base/chat/types.ts b/web/app/components/base/chat/types.ts index 851c82d8e43377..95e52f084e94e5 100644 --- a/web/app/components/base/chat/types.ts +++ b/web/app/components/base/chat/types.ts @@ -28,13 +28,13 @@ export type UserInputFormTextInput = { } export type UserInputFormSelect = { - 'select': UserInputForm & { + select: UserInputForm & { options: string[] } } export type UserInputFormParagraph = { - 'paragraph': UserInputForm + paragraph: UserInputForm } export type VisionConfig = VisionSettings diff --git a/web/app/components/base/copy-btn/index.tsx b/web/app/components/base/copy-btn/index.tsx index 2acb5d8e76a91b..5159a96040a872 100644 --- a/web/app/components/base/copy-btn/index.tsx +++ b/web/app/components/base/copy-btn/index.tsx @@ -1,6 +1,7 @@ 'use client' import { useState } from 'react' import { t } from 'i18next' +import { debounce } from 'lodash-es' import copy from 'copy-to-clipboard' import s from './style.module.css' import Tooltip from '@/app/components/base/tooltip' @@ -18,24 +19,32 @@ const CopyBtn = ({ }: ICopyBtnProps) => { const [isCopied, setIsCopied] = useState(false) + const onClickCopy = debounce(() => { + copy(value) + setIsCopied(true) + }, 100) + + const onMouseLeave = debounce(() => { + setIsCopied(false) + }, 100) + return ( <div className={`${className}`}> <Tooltip popupContent={(isCopied ? t('appApi.copied') : t('appApi.copy'))} + asChild={false} > <div - className={'box-border p-0.5 flex items-center justify-center rounded-md bg-white cursor-pointer'} + onMouseLeave={onMouseLeave} + className={'box-border p-0.5 flex items-center justify-center rounded-md bg-components-button-secondary-bg cursor-pointer'} style={!isPlain ? { boxShadow: '0px 4px 8px -2px rgba(16, 24, 40, 0.1), 0px 2px 4px -2px rgba(16, 24, 40, 0.06)', } : {}} - onClick={() => { - copy(value) - setIsCopied(true) - }} + onClick={onClickCopy} > - <div className={`w-6 h-6 rounded-md hover:bg-gray-50 ${s.copyIcon} ${isCopied ? s.copied : ''}`}></div> + <div className={`w-6 h-6 rounded-md hover:bg-components-button-secondary-bg-hover ${s.copyIcon} ${isCopied ? s.copied : ''}`}></div> </div> </Tooltip> </div> diff --git a/web/app/components/base/copy-feedback/index.tsx b/web/app/components/base/copy-feedback/index.tsx index ec6b6ddb31b547..910127eca9835a 100644 --- a/web/app/components/base/copy-feedback/index.tsx +++ b/web/app/components/base/copy-feedback/index.tsx @@ -1,10 +1,15 @@ 'use client' import React, { useState } from 'react' import { useTranslation } from 'react-i18next' +import { + RiClipboardFill, + RiClipboardLine, +} from '@remixicon/react' import { debounce } from 'lodash-es' import copy from 'copy-to-clipboard' import copyStyle from './style.module.css' import Tooltip from '@/app/components/base/tooltip' +import ActionButton from '@/app/components/base/action-button' type Props = { content: string @@ -13,7 +18,7 @@ type Props = { const prefixEmbedded = 'appOverview.overview.appInfo.embedded' -const CopyFeedback = ({ content, className }: Props) => { +const CopyFeedback = ({ content }: Props) => { const { t } = useTranslation() const [isCopied, setIsCopied] = useState<boolean>(false) @@ -34,19 +39,15 @@ const CopyFeedback = ({ content, className }: Props) => { : t(`${prefixEmbedded}.copy`)) || '' } > - <div - className={`w-8 h-8 cursor-pointer hover:bg-state-base-hover rounded-md ${ - className ?? '' - }`} - > + <ActionButton> <div onClick={onClickCopy} onMouseLeave={onMouseLeave} - className={`w-full h-full ${copyStyle.copyIcon} ${ - isCopied ? copyStyle.copied : '' - }`} - ></div> - </div> + > + {isCopied && <RiClipboardFill className='w-4 h-4' />} + {!isCopied && <RiClipboardLine className='w-4 h-4' />} + </div> + </ActionButton> </Tooltip> ) } @@ -75,15 +76,13 @@ export const CopyFeedbackNew = ({ content, className }: Pick<Props, 'className' } > <div - className={`w-8 h-8 cursor-pointer hover:bg-gray-100 rounded-lg ${ - className ?? '' + className={`w-8 h-8 cursor-pointer hover:bg-components-button-ghost-bg-hover rounded-lg ${className ?? '' }`} > <div onClick={onClickCopy} onMouseLeave={onMouseLeave} - className={`w-full h-full ${copyStyle.copyIcon} ${ - isCopied ? copyStyle.copied : '' + className={`w-full h-full ${copyStyle.copyIcon} ${isCopied ? copyStyle.copied : '' }`} ></div> </div> diff --git a/web/app/components/base/drawer/index.tsx b/web/app/components/base/drawer/index.tsx index c1057b9f1f7a90..e34dc7697a6a6c 100644 --- a/web/app/components/base/drawer/index.tsx +++ b/web/app/components/base/drawer/index.tsx @@ -51,18 +51,18 @@ export default function Drawer({ <Dialog.Overlay className={cn('z-40 fixed inset-0', mask && 'bg-black bg-opacity-30')} /> - <div className={cn('relative z-50 flex flex-col justify-between bg-background-body w-full max-w-sm p-6 overflow-hidden text-left align-middle shadow-xl', panelClassname)}> + <div className={cn('relative z-50 flex flex-col justify-between bg-components-panel-bg w-full max-w-sm p-6 overflow-hidden text-left align-middle shadow-xl', panelClassname)}> <> {title && <Dialog.Title as="h3" - className="text-lg font-medium leading-6 text-gray-900" + className="text-lg font-medium leading-6 text-text-primary" > {title} </Dialog.Title>} {showClose && <Dialog.Title className="flex items-center mb-4" as="div"> - <XMarkIcon className='w-4 h-4 text-gray-500' onClick={onClose} /> + <XMarkIcon className='w-4 h-4 text-text-tertiary' onClick={onClose} /> </Dialog.Title>} - {description && <Dialog.Description className='text-gray-500 text-xs font-normal mt-2'>{description}</Dialog.Description>} + {description && <Dialog.Description className='text-text-tertiary text-xs font-normal mt-2'>{description}</Dialog.Description>} {children} </> {footer || (footer === null diff --git a/web/app/components/base/dropdown/index.tsx b/web/app/components/base/dropdown/index.tsx index 9af24216690dfc..eb2519bbdeb6c1 100644 --- a/web/app/components/base/dropdown/index.tsx +++ b/web/app/components/base/dropdown/index.tsx @@ -48,16 +48,16 @@ const Dropdown: FC<DropdownProps> = ({ <div className={` flex items-center justify-center w-6 h-6 cursor-pointer rounded-md - ${open && 'bg-black/5'} + ${open && 'bg-divider-regular'} `} > - <RiMoreFill className='w-4 h-4 text-gray-500' /> + <RiMoreFill className='w-4 h-4 text-text-tertiary' /> </div> ) } </PortalToFollowElemTrigger> <PortalToFollowElemContent className={popupClassName}> - <div className='rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg text-sm text-gray-700'> + <div className='rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg text-sm text-text-secondary'> { !!items.length && ( <div className='p-1'> @@ -65,7 +65,7 @@ const Dropdown: FC<DropdownProps> = ({ items.map(item => ( <div key={item.value} - className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-gray-100' + className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover' onClick={() => handleSelect(item)} > {item.text} @@ -77,7 +77,7 @@ const Dropdown: FC<DropdownProps> = ({ } { (!!items.length && !!secondItems?.length) && ( - <div className='h-[1px] bg-gray-100' /> + <div className='h-[1px] bg-divider-regular' /> ) } { @@ -87,7 +87,7 @@ const Dropdown: FC<DropdownProps> = ({ secondItems.map(item => ( <div key={item.value} - className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-gray-100' + className='flex items-center px-3 h-8 rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover' onClick={() => handleSelect(item)} > {item.text} diff --git a/web/app/components/base/emoji-picker/Inner.tsx b/web/app/components/base/emoji-picker/Inner.tsx index 5db223e3f46c3c..e3347d4c67382a 100644 --- a/web/app/components/base/emoji-picker/Inner.tsx +++ b/web/app/components/base/emoji-picker/Inner.tsx @@ -7,13 +7,15 @@ import { init } from 'emoji-mart' import { MagnifyingGlassIcon, } from '@heroicons/react/24/outline' -import cn from '@/utils/classnames' +import Input from '@/app/components/base/input' import Divider from '@/app/components/base/divider' import { searchEmoji } from '@/utils/emoji' +import cn from '@/utils/classnames' declare global { + // eslint-disable-next-line ts/no-namespace namespace JSX { - // eslint-disable-next-line @typescript-eslint/consistent-type-definitions + // eslint-disable-next-line ts/consistent-type-definitions interface IntrinsicElements { 'em-emoji': React.DetailedHTMLProps< React.HTMLAttributes<HTMLElement>, HTMLElement > } @@ -71,12 +73,12 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({ <div className='flex flex-col items-center w-full px-3 pb-2'> <div className="relative w-full"> <div className="absolute inset-y-0 left-0 flex items-center pl-3 pointer-events-none"> - <MagnifyingGlassIcon className="w-5 h-5 text-gray-400" aria-hidden="true" /> + <MagnifyingGlassIcon className="w-5 h-5 text-text-quaternary" aria-hidden="true" /> </div> - <input + <Input + className="pl-10" type="search" id="search" - className='block w-full h-10 px-3 pl-10 text-sm font-normal bg-gray-100 rounded-lg' placeholder="Search emojis..." onChange={async (e: ChangeEvent<HTMLInputElement>) => { if (e.target.value === '') { @@ -91,12 +93,12 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({ /> </div> </div> - <Divider className='m-0 mb-3' /> + <Divider className='my-3' /> <div className="w-full max-h-[200px] overflow-x-hidden overflow-y-auto px-3"> {isSearching && <> <div key={'category-search'} className='flex flex-col'> - <p className='font-medium uppercase text-xs text-[#101828] mb-1'>Search</p> + <p className='system-xs-medium-uppercase text-text-primary mb-1'>Search</p> <div className='w-full h-full grid grid-cols-8 gap-1'> {searchedEmojis.map((emoji: string, index: number) => { return <div @@ -106,7 +108,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({ setSelectedEmoji(emoji) }} > - <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-gray-300'> + <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-components-input-border-hover'> <em-emoji id={emoji} /> </div> </div> @@ -117,7 +119,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({ {categories.map((category, index: number) => { return <div key={`category-${index}`} className='flex flex-col'> - <p className='font-medium uppercase text-xs text-[#101828] mb-1'>{category.id}</p> + <p className='system-xs-medium-uppercase text-text-primary mb-1'>{category.id}</p> <div className='w-full h-full grid grid-cols-8 gap-1'> {category.emojis.map((emoji, index: number) => { return <div @@ -127,7 +129,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({ setSelectedEmoji(emoji) }} > - <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-gray-300'> + <div className='cursor-pointer w-8 h-8 p-1 flex items-center justify-center rounded-lg hover:ring-1 ring-offset-1 ring-components-input-border-hover'> <em-emoji id={emoji} /> </div> </div> @@ -140,7 +142,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({ {/* Color Select */} <div className={cn('p-3 pb-0', selectedEmoji === '' ? 'opacity-25' : '')}> - <p className='font-medium uppercase text-xs text-[#101828] mb-2'>Choose Style</p> + <p className='system-xs-medium-uppercase text-text-primary mb-2'>Choose Style</p> <div className='w-full h-full grid grid-cols-8 gap-1'> {backgroundColors.map((color) => { return <div @@ -150,7 +152,7 @@ const EmojiPickerInner: FC<IEmojiPickerInnerProps> = ({ 'cursor-pointer', 'hover:ring-1 ring-offset-1', 'inline-flex w-10 h-10 rounded-lg items-center justify-center', - color === selectedBackground ? 'ring-1 ring-gray-300' : '', + color === selectedBackground ? 'ring-1 ring-components-input-border-hover' : '', )} onClick={() => { setSelectedBackground(color) diff --git a/web/app/components/base/emoji-picker/index.tsx b/web/app/components/base/emoji-picker/index.tsx index 3add14879aa5bb..16b07eddafd774 100644 --- a/web/app/components/base/emoji-picker/index.tsx +++ b/web/app/components/base/emoji-picker/index.tsx @@ -2,7 +2,6 @@ import type { FC } from 'react' import React, { useCallback, useState } from 'react' import { useTranslation } from 'react-i18next' -import s from './style.module.css' import EmojiPickerInner from './Inner' import cn from '@/utils/classnames' import Divider from '@/app/components/base/divider' @@ -37,12 +36,12 @@ const EmojiPicker: FC<IEmojiPickerProps> = ({ isShow closable={false} wrapperClassName={className} - className={cn(s.container, '!w-[362px] !p-0')} + className={cn('flex flex-col max-h-[552px] border-[0.5px] border-divider-subtle rounded-xl shadow-xl p-0')} > <EmojiPickerInner className="pt-3" onSelect={handleSelectEmoji} /> - <Divider className='m-0' /> + <Divider className='mb-0 mt-3' /> <div className='w-full flex items-center justify-center p-3 gap-2'> <Button className='w-full' onClick={() => { onClose && onClose() diff --git a/web/app/components/base/emoji-picker/style.module.css b/web/app/components/base/emoji-picker/style.module.css deleted file mode 100644 index 5facb3560a04d3..00000000000000 --- a/web/app/components/base/emoji-picker/style.module.css +++ /dev/null @@ -1,12 +0,0 @@ -.container { - display: flex; - flex-direction: column; - align-items: flex-start; - width: 362px; - max-height: 552px; - - border: 0.5px solid #EAECF0; - box-shadow: 0px 12px 16px -4px rgba(16, 24, 40, 0.08), 0px 4px 6px -2px rgba(16, 24, 40, 0.03); - border-radius: 12px; - background: #fff; -} diff --git a/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx b/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx index 41ed043e93d6ad..a03886923ed7b8 100644 --- a/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx +++ b/web/app/components/base/features/new-feature-panel/conversation-opener/modal.tsx @@ -6,12 +6,14 @@ import { ReactSortable } from 'react-sortablejs' import { RiAddLine, RiAsterisk, RiCloseLine, RiDeleteBinLine, RiDraggable } from '@remixicon/react' import Modal from '@/app/components/base/modal' import Button from '@/app/components/base/button' +import Divider from '@/app/components/base/divider' import ConfirmAddVar from '@/app/components/app/configuration/config-prompt/confirm-add-var' import type { OpeningStatement } from '@/app/components/base/features/types' import { getInputKeys } from '@/app/components/base/block-input' import type { PromptVariable } from '@/models/debug' import type { InputVar } from '@/app/components/workflow/types' import { getNewVar } from '@/utils/var' +import cn from '@/utils/classnames' type OpeningSettingModalProps = { data: OpeningStatement @@ -86,16 +88,19 @@ const OpeningSettingModal = ({ handleSave(true) }, [handleSave, hideConfirmAddVar, notIncludeKeys, onAutoAddPromptVariable]) + const [focusID, setFocusID] = useState<number | null>(null) + const [deletingID, setDeletingID] = useState<number | null>(null) + const renderQuestions = () => { return ( <div> <div className='flex items-center py-2'> - <div className='shrink-0 flex space-x-0.5 leading-[18px] text-xs font-medium text-gray-500'> + <div className='shrink-0 flex space-x-0.5 leading-[18px] text-xs font-medium text-text-tertiary'> <div className='uppercase'>{t('appDebug.openingStatement.openingQuestion')}</div> <div>·</div> <div>{tempSuggestedQuestions.length}/{MAX_QUESTION_NUM}</div> </div> - <div className='ml-3 grow w-0 h-px bg-[#243, 244, 246]'></div> + <Divider bgStyle='gradient' className='ml-3 grow w-0 h-px'/> </div> <ReactSortable className="space-y-1" @@ -112,8 +117,15 @@ const OpeningSettingModal = ({ > {tempSuggestedQuestions.map((question, index) => { return ( - <div className='group relative rounded-lg border border-gray-200 flex items-center pl-2.5 hover:border-gray-300 hover:bg-white' key={index}> - <RiDraggable className='handle w-4 h-4 cursor-grab' /> + <div + className={cn( + 'group relative rounded-lg border border-components-panel-border-subtle bg-components-panel-on-panel-item-bg flex items-center pl-2.5 hover:bg-components-panel-on-panel-item-bg-hover', + focusID === index && 'border-components-input-border-active hover:border-components-input-border-active bg-components-input-bg-active hover:bg-components-input-bg-active', + deletingID === index && 'border-components-input-border-destructive hover:border-components-input-border-destructive bg-state-destructive-hover hover:bg-state-destructive-hover', + )} + key={index} + > + <RiDraggable className='handle w-4 h-4 text-text-quaternary cursor-grab' /> <input type="input" value={question || ''} @@ -126,14 +138,18 @@ const OpeningSettingModal = ({ return item })) }} - className={'w-full overflow-x-auto pl-1.5 pr-8 text-sm leading-9 text-gray-900 border-0 grow h-9 bg-transparent focus:outline-none cursor-pointer rounded-lg'} + className={'w-full overflow-x-auto pl-1.5 pr-8 text-sm leading-9 text-text-secondary border-0 grow h-9 bg-transparent focus:outline-none cursor-pointer rounded-lg'} + onFocus={() => setFocusID(index)} + onBlur={() => setFocusID(null)} /> <div - className='block absolute top-1/2 translate-y-[-50%] right-1.5 p-1 rounded-md cursor-pointer hover:bg-[#FEE4E2] hover:text-[#D92D20]' + className='block absolute top-1/2 translate-y-[-50%] right-1.5 p-1 rounded-md cursor-pointer text-text-tertiary hover:bg-state-destructive-hover hover:text-text-destructive' onClick={() => { setTempSuggestedQuestions(tempSuggestedQuestions.filter((_, i) => index !== i)) }} + onMouseEnter={() => setDeletingID(index)} + onMouseLeave={() => setDeletingID(null)} > <RiDeleteBinLine className='w-3.5 h-3.5' /> </div> @@ -143,9 +159,9 @@ const OpeningSettingModal = ({ {tempSuggestedQuestions.length < MAX_QUESTION_NUM && ( <div onClick={() => { setTempSuggestedQuestions([...tempSuggestedQuestions, '']) }} - className='mt-1 flex items-center h-9 px-3 gap-2 rounded-lg cursor-pointer text-gray-400 bg-gray-100 hover:bg-gray-200'> + className='mt-1 flex items-center h-9 px-3 gap-2 rounded-lg cursor-pointer text-components-button-tertiary-text bg-components-button-tertiary-bg hover:bg-components-button-tertiary-bg-hover'> <RiAddLine className='w-4 h-4' /> - <div className='text-gray-500 text-[13px]'>{t('appDebug.variableConfig.addOption')}</div> + <div className='system-sm-medium text-[13px]'>{t('appDebug.variableConfig.addOption')}</div> </div> )} </div> diff --git a/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx b/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx index 067d00923a02af..f5cddcc9a08658 100644 --- a/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx +++ b/web/app/components/base/features/new-feature-panel/moderation/form-generation.tsx @@ -30,14 +30,14 @@ const FormGeneration: FC<FormGenerationProps> = ({ key={index} className='py-2' > - <div className='flex items-center h-9 text-sm font-medium text-gray-900'> + <div className='flex items-center h-9 text-sm font-medium text-text-primary'> {locale === 'zh-Hans' ? form.label['zh-Hans'] : form.label['en-US']} </div> { form.type === 'text-input' && ( <input value={value?.[form.variable] || ''} - className='block px-3 w-full h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none' + className='block px-3 w-full h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none' placeholder={form.placeholder} onChange={e => handleFormChange(form.variable, e.target.value)} /> diff --git a/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx b/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx index 7cb81149594c6a..a6e122fb2b77d1 100644 --- a/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx +++ b/web/app/components/base/features/new-feature-panel/moderation/moderation-content.tsx @@ -27,13 +27,13 @@ const ModerationContent: FC<ModerationContentProps> = ({ return ( <div className='py-2'> - <div className='rounded-lg bg-gray-50 border border-gray-200'> + <div className='rounded-lg bg-components-panel-bg border border-components-panel-border'> <div className='flex items-center justify-between px-3 h-10 rounded-lg'> - <div className='shrink-0 text-sm font-medium text-gray-900'>{title}</div> + <div className='shrink-0 text-sm font-medium text-text-primary'>{title}</div> <div className='grow flex items-center justify-end'> { info && ( - <div className='mr-2 text-xs text-gray-500 truncate' title={info}>{info}</div> + <div className='mr-2 text-xs text-text-tertiary truncate' title={info}>{info}</div> ) } <Switch @@ -45,20 +45,20 @@ const ModerationContent: FC<ModerationContentProps> = ({ </div> { config.enabled && showPreset && ( - <div className='px-3 pt-1 pb-3 bg-white rounded-lg'> - <div className='flex items-center justify-between h-8 text-[13px] font-medium text-gray-700'> + <div className='px-3 pt-1 pb-3 bg-components-panel-bg rounded-lg'> + <div className='flex items-center justify-between h-8 text-[13px] font-medium text-text-secondary'> {t('appDebug.feature.moderation.modal.content.preset')} - <span className='text-xs font-normal text-gray-500'>{t('appDebug.feature.moderation.modal.content.supportMarkdown')}</span> + <span className='text-xs font-normal text-text-tertiary'>{t('appDebug.feature.moderation.modal.content.supportMarkdown')}</span> </div> - <div className='relative px-3 py-2 h-20 rounded-lg bg-gray-100'> + <div className='relative px-3 py-2 h-20 rounded-lg bg-components-input-bg-normal'> <textarea value={config.preset_response || ''} - className='block w-full h-full bg-transparent text-sm outline-none appearance-none resize-none' + className='block w-full h-full bg-transparent text-sm text-text-secondary outline-none appearance-none resize-none' placeholder={t('appDebug.feature.moderation.modal.content.placeholder') || ''} onChange={e => handleConfigChange('preset_response', e.target.value)} /> - <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-gray-50 text-xs font-medium text-gray-300'> - <span>{(config.preset_response || '').length}</span>/<span className='text-gray-500'>100</span> + <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-background-section text-xs font-medium text-text-quaternary'> + <span>{(config.preset_response || '').length}</span>/<span className='text-text-tertiary'>100</span> </div> </div> </div> diff --git a/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx b/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx index e9e1a79e6fa6b5..24501c32c16767 100644 --- a/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx +++ b/web/app/components/base/features/new-feature-panel/moderation/moderation-setting-modal.tsx @@ -9,6 +9,7 @@ import FormGeneration from './form-generation' import ApiBasedExtensionSelector from '@/app/components/header/account-setting/api-based-extension-page/selector' import Modal from '@/app/components/base/modal' import Button from '@/app/components/base/button' +import Divider from '@/app/components/base/divider' import { BookOpen01 } from '@/app/components/base/icons/src/vender/line/education' import type { ModerationConfig, ModerationContentConfig } from '@/models/debug' import { useToastContext } from '@/app/components/base/toast' @@ -22,6 +23,7 @@ import { LanguagesSupported } from '@/i18n/language' import { InfoCircle } from '@/app/components/base/icons/src/vender/line/general' import { useModalContext } from '@/context/modal-context' import { CustomConfigurationStatusEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import cn from '@/utils/classnames' const systemTypes = ['openai_moderation', 'keywords', 'api'] @@ -60,7 +62,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({ '/code-based-extension?module=moderation', fetchCodeBasedExtensionList, ) - const openaiProvider = modelProviders?.data.find(item => item.provider === 'openai') + const openaiProvider = modelProviders?.data.find(item => item.provider === 'langgenius/openai/openai') const systemOpenaiProviderEnabled = openaiProvider?.system_configuration.enabled const systemOpenaiProviderQuota = systemOpenaiProviderEnabled ? openaiProvider?.system_configuration.quota_configurations.find(item => item.quota_type === openaiProvider.system_configuration.current_quota_type) : undefined const systemOpenaiProviderCanUse = systemOpenaiProviderQuota?.is_valid @@ -245,7 +247,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({ <div className='p-1 cursor-pointer' onClick={onCancel}><RiCloseLine className='w-4 h-4 text-text-tertiary'/></div> </div> <div className='py-2'> - <div className='leading-9 text-sm font-medium text-gray-900'> + <div className='leading-9 text-sm font-medium text-text-primary'> {t('appDebug.feature.moderation.modal.provider.title')} </div> <div className='grid gap-2.5 grid-cols-3'> @@ -253,16 +255,18 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({ providers.map(provider => ( <div key={provider.key} - className={` - flex items-center px-3 py-2 rounded-lg text-sm text-gray-900 cursor-pointer - ${localeData.type === provider.key ? 'bg-white border-[1.5px] border-primary-400 shadow-sm' : 'border border-gray-100 bg-gray-25'} - ${localeData.type === 'openai_moderation' && provider.key === 'openai_moderation' && !isOpenAIProviderConfigured && 'opacity-50'} - `} + className={cn( + 'flex items-center px-2 h-8 rounded-md system-sm-regular bg-components-option-card-option-bg border border-components-option-card-option-border text-text-secondary cursor-default', + localeData.type !== provider.key && 'hover:bg-components-option-card-option-bg-hover hover:border-components-option-card-option-border-hover hover:shadow-xs cursor-pointer', + localeData.type === provider.key && 'bg-components-option-card-option-selected-bg border-[1.5px] border-components-option-card-option-selected-border system-sm-medium shadow-xs', + localeData.type === 'openai_moderation' && provider.key === 'openai_moderation' && !isOpenAIProviderConfigured && 'text-text-disabled', + )} onClick={() => handleDataTypeChange(provider.key)} > - <div className={` - mr-2 w-4 h-4 rounded-full border - ${localeData.type === provider.key ? 'border-[5px] border-primary-600' : 'border border-gray-300'}`} /> + <div className={cn( + 'mr-2 w-4 h-4 border border-components-radio-border bg-components-radio-bg shadow-xs rounded-full', + localeData.type === provider.key && 'border-[5px] border-components-radio-border-checked', + )}></div> {provider.name} </div> )) @@ -289,17 +293,17 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({ { localeData.type === 'keywords' && ( <div className='py-2'> - <div className='mb-1 text-sm font-medium text-gray-900'>{t('appDebug.feature.moderation.modal.provider.keywords')}</div> - <div className='mb-2 text-xs text-gray-500'>{t('appDebug.feature.moderation.modal.keywords.tip')}</div> - <div className='relative px-3 py-2 h-[88px] bg-gray-100 rounded-lg'> + <div className='mb-1 text-sm font-medium text-text-primary'>{t('appDebug.feature.moderation.modal.provider.keywords')}</div> + <div className='mb-2 text-xs text-text-tertiary'>{t('appDebug.feature.moderation.modal.keywords.tip')}</div> + <div className='relative px-3 py-2 h-[88px] bg-components-input-bg-normal rounded-lg'> <textarea value={localeData.config?.keywords || ''} onChange={handleDataKeywordsChange} - className='block w-full h-full bg-transparent text-sm outline-none appearance-none resize-none' + className='block w-full h-full bg-transparent text-sm text-text-secondary outline-none appearance-none resize-none' placeholder={t('appDebug.feature.moderation.modal.keywords.placeholder') || ''} /> - <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-gray-50 text-xs font-medium text-gray-300'> - <span>{(localeData.config?.keywords || '').split('\n').filter(Boolean).length}</span>/<span className='text-gray-500'>100 {t('appDebug.feature.moderation.modal.keywords.line')}</span> + <div className='absolute bottom-2 right-2 flex items-center px-1 h-5 rounded-md bg-background-section text-xs font-medium text-text-quaternary'> + <span>{(localeData.config?.keywords || '').split('\n').filter(Boolean).length}</span>/<span className='text-text-tertiary'>100 {t('appDebug.feature.moderation.modal.keywords.line')}</span> </div> </div> </div> @@ -309,13 +313,13 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({ localeData.type === 'api' && ( <div className='py-2'> <div className='flex items-center justify-between h-9'> - <div className='text-sm font-medium text-gray-900'>{t('common.apiBasedExtension.selector.title')}</div> + <div className='text-sm font-medium text-text-primary'>{t('common.apiBasedExtension.selector.title')}</div> <a href={t('common.apiBasedExtension.linkUrl') || '/'} target='_blank' rel='noopener noreferrer' - className='group flex items-center text-xs text-gray-500 hover:text-primary-600' + className='group flex items-center text-xs text-text-tertiary hover:text-primary-600' > - <BookOpen01 className='mr-1 w-3 h-3 text-gray-500 group-hover:text-primary-600' /> + <BookOpen01 className='mr-1 w-3 h-3 text-text-tertiary group-hover:text-primary-600' /> {t('common.apiBasedExtension.link')} </a> </div> @@ -337,7 +341,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({ /> ) } - <div className='my-3 h-[1px] bg-gradient-to-r from-[#F3F4F6]'></div> + <Divider bgStyle='gradient' className='my-3 h-px' /> <ModerationContent title={t('appDebug.feature.moderation.modal.content.input') || ''} config={localeData.config?.inputs_config || { enabled: false, preset_response: '' }} @@ -352,7 +356,7 @@ const ModerationSettingModal: FC<ModerationSettingModalProps> = ({ info={(localeData.type === 'api' && t('appDebug.feature.moderation.modal.content.fromApi')) || ''} showPreset={!(localeData.type === 'api')} /> - <div className='mt-1 mb-8 text-xs font-medium text-gray-500'>{t('appDebug.feature.moderation.modal.content.condition')}</div> + <div className='mt-1 mb-8 text-xs font-medium text-text-tertiary'>{t('appDebug.feature.moderation.modal.content.condition')}</div> <div className='flex items-center justify-end'> <Button onClick={onCancel} diff --git a/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx b/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx index 360ea8a72afc9c..9c401a7fef9eeb 100644 --- a/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx +++ b/web/app/components/base/features/new-feature-panel/text-to-speech/param-config-content.tsx @@ -93,13 +93,13 @@ const VoiceParamConfig = ({ > <div className='relative h-8'> <Listbox.Button - className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}> - <span className={classNames('block truncate text-left', !languageItem?.name && 'text-gray-400')}> + className={'w-full h-full rounded-lg border-0 bg-components-input-bg-normal py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover cursor-pointer'}> + <span className={classNames('block truncate text-left text-text-secondary', !languageItem?.name && 'text-text-tertiary')}> {languageItem?.name ? t(`common.voice.language.${languageItem?.value.replace('-', '')}`) : localLanguagePlaceholder} </span> <span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2"> <ChevronDownIcon - className="h-5 w-5 text-gray-400" + className="h-4 w-4 text-text-tertiary" aria-hidden="true" /> </span> @@ -112,12 +112,12 @@ const VoiceParamConfig = ({ > <Listbox.Options - className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm"> + className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm"> {languages.map((item: Item) => ( <Listbox.Option key={item.value} className={({ active }) => - `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-gray-100 text-gray-700 ${active ? 'bg-gray-100' : '' + `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-state-base-hover text-text-secondary ${active ? 'bg-state-base-active' : '' }` } value={item} @@ -130,10 +130,10 @@ const VoiceParamConfig = ({ {(selected || item.value === text2speech?.language) && ( <span className={classNames( - 'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700', + 'absolute inset-y-0 right-0 flex items-center pr-4 text-text-secondary', )} > - <CheckIcon className="h-5 w-5" aria-hidden="true"/> + <CheckIcon className="h-4 w-4" aria-hidden="true"/> </span> )} </> @@ -161,12 +161,12 @@ const VoiceParamConfig = ({ > <div className={'grow relative h-8'}> <Listbox.Button - className={'w-full h-full rounded-lg border-0 bg-gray-100 py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 cursor-pointer'}> + className={'w-full h-full rounded-lg border-0 bg-components-input-bg-normal py-1.5 pl-3 pr-10 sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover cursor-pointer'}> <span - className={classNames('block truncate text-left', !voiceItem?.name && 'text-gray-400')}>{voiceItem?.name ?? localVoicePlaceholder}</span> + className={classNames('block truncate text-left text-text-secondary', !voiceItem?.name && 'text-text-tertiary')}>{voiceItem?.name ?? localVoicePlaceholder}</span> <span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2"> <ChevronDownIcon - className="h-5 w-5 text-gray-400" + className="h-4 w-4 text-text-tertiary" aria-hidden="true" /> </span> @@ -179,12 +179,12 @@ const VoiceParamConfig = ({ > <Listbox.Options - className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm"> + className="absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm"> {voiceItems?.map((item: Item) => ( <Listbox.Option key={item.value} className={({ active }) => - `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-gray-100 text-gray-700 ${active ? 'bg-gray-100' : '' + `relative cursor-pointer select-none py-2 pl-3 pr-9 rounded-lg hover:bg-state-base-hover text-text-secondary ${active ? 'bg-state-base-active' : '' }` } value={item} @@ -196,10 +196,10 @@ const VoiceParamConfig = ({ {(selected || item.value === text2speech?.voice) && ( <span className={classNames( - 'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700', + 'absolute inset-y-0 right-0 flex items-center pr-4 text-text-secondary', )} > - <CheckIcon className="h-5 w-5" aria-hidden="true"/> + <CheckIcon className="h-4 w-4" aria-hidden="true"/> </span> )} </> diff --git a/web/app/components/base/features/store.ts b/web/app/components/base/features/store.ts index 2b8c3f7073c283..49ce0f4338c078 100644 --- a/web/app/components/base/features/store.ts +++ b/web/app/components/base/features/store.ts @@ -2,16 +2,16 @@ import { createStore } from 'zustand' import type { Features } from './types' import { Resolution, TransferMethod } from '@/types/app' -export type FeaturesModal = { +export interface FeaturesModal { showFeaturesModal: boolean setShowFeaturesModal: (showFeaturesModal: boolean) => void } -export type FeaturesState = { +export interface FeaturesState { features: Features } -export type FeaturesAction = { +export interface FeaturesAction { setFeatures: (features: Features) => void } diff --git a/web/app/components/base/features/types.ts b/web/app/components/base/features/types.ts index 83f876383d8bbb..c948e538d7c902 100644 --- a/web/app/components/base/features/types.ts +++ b/web/app/components/base/features/types.ts @@ -1,7 +1,7 @@ import type { Resolution, TransferMethod, TtsAutoPlay } from '@/types/app' import type { FileUploadConfigResponse } from '@/models/common' -export type EnabledOrDisabled = { +export interface EnabledOrDisabled { enabled?: boolean } @@ -42,7 +42,7 @@ export type FileUpload = { fileUploadConfig?: FileUploadConfigResponse } & EnabledOrDisabled -export type AnnotationReplyConfig = { +export interface AnnotationReplyConfig { enabled: boolean id?: string score_threshold?: number @@ -64,7 +64,7 @@ export enum FeatureEnum { annotationReply = 'annotationReply', } -export type Features = { +export interface Features { [FeatureEnum.moreLikeThis]?: MoreLikeThis [FeatureEnum.opening]?: OpeningStatement [FeatureEnum.suggested]?: SuggestedQuestionsAfterAnswer diff --git a/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx b/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx index 1ff2bdd1740679..8ae8bb05385782 100644 --- a/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx +++ b/web/app/components/base/file-uploader/file-from-link-or-local/index.tsx @@ -59,7 +59,7 @@ const FileFromLinkOrLocal = ({ <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)} asChild> {trigger(open)} </PortalToFollowElemTrigger> - <PortalToFollowElemContent className='z-10'> + <PortalToFollowElemContent className='z-[1001]'> <div className='p-3 w-[280px] bg-components-panel-bg-blur border-[0.5px] border-components-panel-border rounded-xl shadow-lg'> { showFromLink && ( diff --git a/web/app/components/base/grid-mask/index.tsx b/web/app/components/base/grid-mask/index.tsx index 876eb7f1de680b..0bf6625a8397ee 100644 --- a/web/app/components/base/grid-mask/index.tsx +++ b/web/app/components/base/grid-mask/index.tsx @@ -36,8 +36,8 @@ const GridMask: FC<GridMaskProps> = ({ const drawRecord = useCallback(() => { const canvas = canvasRef.current! const ctx = ctxRef.current! - const rowNumber = parseInt(`${canvas.width / 24}`) - const colNumber = parseInt(`${canvas.height / 24}`) + const rowNumber = Number.parseInt(`${canvas.width / 24}`) + const colNumber = Number.parseInt(`${canvas.height / 24}`) ctx.clearRect(0, 0, canvas.width, canvas.height) ctx.beginPath() @@ -82,9 +82,9 @@ const GridMask: FC<GridMaskProps> = ({ }, []) return ( - <div className={`relative bg-white ${wrapperClassName}`}> + <div className={`relative bg-components-panel-bg ${wrapperClassName}`}> <canvas ref={canvasRef} className={`absolute inset-0 w-full h-full ${canvasClassName}`} /> - <div className={`absolute w-full h-full z-[1] bg-gradient-to-b from-white/80 to-white rounded-lg ${gradientClassName}`} /> + <div className={`absolute w-full h-full z-[1] bg-gradient-to-b from-background-body to-background-gradient-mask-transparent rounded-lg ${gradientClassName}`} /> <div className='relative z-[2]'>{children}</div> </div> ) diff --git a/web/app/components/base/icons/IconBase.tsx b/web/app/components/base/icons/IconBase.tsx index 994cd98bcd6954..4de39e293c8bd0 100644 --- a/web/app/components/base/icons/IconBase.tsx +++ b/web/app/components/base/icons/IconBase.tsx @@ -28,4 +28,6 @@ const IconBase = forwardRef<React.MutableRefObject<HTMLOrSVGElement>, IconBasePr }) }) +IconBase.displayName = 'IconBase' + export default IconBase diff --git a/web/app/components/base/icons/assets/public/llm/Anthropic-dark.svg b/web/app/components/base/icons/assets/public/llm/Anthropic-dark.svg new file mode 100644 index 00000000000000..57abb737e77fbc --- /dev/null +++ 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web/app/components/base/icons/script.mjs index 0ff6a2a48337f8..1952a152519b97 100644 --- a/web/app/components/base/icons/script.js +++ b/web/app/components/base/icons/script.mjs @@ -1,8 +1,9 @@ -const path = require('node:path') -const { open, readdir, access, mkdir, writeFile, appendFile, rm } = require('node:fs/promises') -const { parseXml } = require('@rgrove/parse-xml') -const camelCase = require('lodash/camelCase') -const template = require('lodash/template') +import path from 'node:path' +import { access, appendFile, mkdir, open, readdir, rm, writeFile } from 'node:fs/promises' +import { parseXml } from '@rgrove/parse-xml' +import { camelCase, template } from 'lodash-es' + +const __dirname = path.dirname(new URL(import.meta.url).pathname) const generateDir = async (currentPath) => { try { diff --git a/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx b/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx index 5206d026222faa..85280607a75f77 100644 --- a/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx +++ b/web/app/components/base/icons/src/image/llm/BaichuanTextCn.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './BaichuanTextCn.module.css' import cn from '@/utils/classnames' +import s from './BaichuanTextCn.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/Minimax.tsx b/web/app/components/base/icons/src/image/llm/Minimax.tsx index 7b75ff6f6145fc..ea8c87a1886257 100644 --- a/web/app/components/base/icons/src/image/llm/Minimax.tsx +++ b/web/app/components/base/icons/src/image/llm/Minimax.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './Minimax.module.css' import cn from '@/utils/classnames' +import s from './Minimax.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/MinimaxText.tsx b/web/app/components/base/icons/src/image/llm/MinimaxText.tsx index 490a97751766b7..b6dfba4f70fe71 100644 --- a/web/app/components/base/icons/src/image/llm/MinimaxText.tsx +++ b/web/app/components/base/icons/src/image/llm/MinimaxText.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './MinimaxText.module.css' import cn from '@/utils/classnames' +import s from './MinimaxText.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/Tongyi.tsx b/web/app/components/base/icons/src/image/llm/Tongyi.tsx index 543b4ce63d6cbf..2fc2c8b000273e 100644 --- a/web/app/components/base/icons/src/image/llm/Tongyi.tsx +++ b/web/app/components/base/icons/src/image/llm/Tongyi.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './Tongyi.module.css' import cn from '@/utils/classnames' +import s from './Tongyi.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/TongyiText.tsx b/web/app/components/base/icons/src/image/llm/TongyiText.tsx index 16e39207802f80..ca8cd5793bf7fa 100644 --- a/web/app/components/base/icons/src/image/llm/TongyiText.tsx +++ b/web/app/components/base/icons/src/image/llm/TongyiText.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './TongyiText.module.css' import cn from '@/utils/classnames' +import s from './TongyiText.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx b/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx index c14d323c602eaf..605a254b57b9a6 100644 --- a/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx +++ b/web/app/components/base/icons/src/image/llm/TongyiTextCn.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './TongyiTextCn.module.css' import cn from '@/utils/classnames' +import s from './TongyiTextCn.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/Wxyy.tsx b/web/app/components/base/icons/src/image/llm/Wxyy.tsx index 312e32504339aa..c73ddffa1ce428 100644 --- a/web/app/components/base/icons/src/image/llm/Wxyy.tsx +++ b/web/app/components/base/icons/src/image/llm/Wxyy.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './Wxyy.module.css' import cn from '@/utils/classnames' +import s from './Wxyy.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/WxyyText.tsx b/web/app/components/base/icons/src/image/llm/WxyyText.tsx index fd618e8d340b9a..1ba8335fd288d9 100644 --- a/web/app/components/base/icons/src/image/llm/WxyyText.tsx +++ b/web/app/components/base/icons/src/image/llm/WxyyText.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './WxyyText.module.css' import cn from '@/utils/classnames' +import s from './WxyyText.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx b/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx index 01acc2624133f6..02616573e5096a 100644 --- a/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx +++ b/web/app/components/base/icons/src/image/llm/WxyyTextCn.tsx @@ -2,8 +2,8 @@ // DON NOT EDIT IT MANUALLY import * as React from 'react' -import s from './WxyyTextCn.module.css' import cn from '@/utils/classnames' +import s from './WxyyTextCn.module.css' const Icon = React.forwardRef<HTMLSpanElement, React.DetailedHTMLProps<React.HTMLAttributes<HTMLSpanElement>, HTMLSpanElement>>(( { className, ...restProps }, diff --git a/web/app/components/base/icons/src/public/llm/AnthropicDark.json b/web/app/components/base/icons/src/public/llm/AnthropicDark.json new file mode 100644 index 00000000000000..4f3af3ce79bc71 --- /dev/null +++ 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"g", + "attributes": { + "id": "Group_29" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group_30" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_21", + "d": "M3.64038 5.99893L4.95938 2.60106L6.27838 5.99893H3.64038ZM3.85422 0.15625L0 9.82501H2.15505L2.9433 7.79456H6.97558L7.76371 9.82501H9.91875L6.06453 0.15625H3.85422Z", + "fill": "black", + "fill-opacity": "0.95" + }, + "children": [] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + }, + { + "type": "element", + "name": "defs", + "attributes": {}, + "children": [ + { + "type": "element", + "name": "clipPath", + "attributes": { + "id": "clip0_5981_49007" + }, + "children": [ + { + "type": "element", + "name": "rect", + "attributes": { + "width": "89.375", + "height": "10", + "fill": "white" + }, + "children": [] + } + ] + } + ] + } + ] + }, + "name": "AnthropicDark" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/public/llm/AnthropicDark.tsx b/web/app/components/base/icons/src/public/llm/AnthropicDark.tsx new file mode 100644 index 00000000000000..d358b0c1118d7d --- /dev/null +++ b/web/app/components/base/icons/src/public/llm/AnthropicDark.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './AnthropicDark.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'AnthropicDark' + +export default Icon diff --git a/web/app/components/base/icons/src/public/llm/AnthropicLight.json b/web/app/components/base/icons/src/public/llm/AnthropicLight.json new file mode 100644 index 00000000000000..3e84eb4dd6562e --- /dev/null +++ b/web/app/components/base/icons/src/public/llm/AnthropicLight.json @@ -0,0 +1,1046 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "90", + "height": "10", + "viewBox": "0 0 90 10", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Anthropic", + "clip-path": "url(#clip0_5981_52010)" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Clip path group" + }, + "children": [ + { + "type": "element", + "name": "mask", + "attributes": { + "id": "mask0_5981_52010", + "style": "mask-type:luminance", + "maskUnits": "userSpaceOnUse", + "x": "0", + "y": "-1", + "width": "90", + "height": "11" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "__lottie_element_2" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector", + "d": "M89.375 -0.00195312H0V9.99805H89.375V-0.00195312Z", + "fill": "white" + }, + "children": [] + } + ] + } + ] + }, + { + "type": "element", + "name": "g", + "attributes": { + "mask": "url(#mask0_5981_52010)" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Clip path group_2" + }, + "children": [ + { + "type": "element", + "name": "mask", + "attributes": { + "id": "mask1_5981_52010", + "style": "mask-type:luminance", + "maskUnits": "userSpaceOnUse", + "x": "0", + "y": "-1", + "width": "90", + "height": "11" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "__lottie_element_4" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_2", + "d": "M0 -0.00390625H89.375V9.99609H0V-0.00390625Z", + "fill": "white" + }, + "children": [] + } + ] + } + ] + }, + { + "type": "element", + "name": "g", + "attributes": { + "mask": "url(#mask1_5981_52010)" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group_2" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Clip path group_3" + }, + "children": [ + { + "type": "element", + "name": "mask", + "attributes": { + "id": "mask2_5981_52010", + "style": "mask-type:luminance", + "maskUnits": "userSpaceOnUse", + "x": "0", + "y": "-1", + "width": "90", + "height": "11" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "__lottie_element_12" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_3", + "d": "M0 -0.00585938H89.375V9.99414H0V-0.00585938Z", + "fill": "white" + }, + "children": [] + } + ] + } + ] + }, + { + "type": "element", + "name": "g", + "attributes": { + "mask": "url(#mask2_5981_52010)" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group_3" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Clip path group_4" + }, + "children": [ + { + "type": "element", + "name": "mask", + "attributes": { + "id": "mask3_5981_52010", + "style": "mask-type:luminance", + "maskUnits": "userSpaceOnUse", + "x": "0", + "y": "-1", + "width": "90", + "height": "11" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "__lottie_element_89" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_4", + "d": "M0 -0.0078125H89.375V9.99219H0V-0.0078125Z", + "fill": "white" + }, + "children": [] + } + ] + } + ] + }, + { + "type": "element", + "name": "g", + "attributes": { + "mask": "url(#mask3_5981_52010)" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group_4" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group_5" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group_6" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_5", + "d": "M18.1273 6.92438L13.7773 0.15625H11.4297V9.82501H13.4321V3.05688L17.7821 9.82501H20.1297V0.15625H18.1273V6.92438Z", + "fill": "white", + "fill-opacity": "0.8" + }, + "children": [] + } + ] + } + ] + } + ] + } + ] + } + ] + }, + { + "type": "element", + "name": "g", + "attributes": { + "id": "Clip path group_5" + }, + "children": [ + { + "type": "element", + "name": "mask", + "attributes": { + "id": "mask4_5981_52010", + "style": "mask-type:luminance", + "maskUnits": "userSpaceOnUse", + "x": "0", + "y": "-1", + "width": "90", + "height": "11" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "__lottie_element_80" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + 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"g", + "attributes": { + "id": "Group_29" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group_30" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_21", + "d": "M3.64038 5.99893L4.95938 2.60106L6.27838 5.99893H3.64038ZM3.85422 0.15625L0 9.82501H2.15505L2.9433 7.79456H6.97558L7.76371 9.82501H9.91875L6.06453 0.15625H3.85422Z", + "fill": "white", + "fill-opacity": "0.8" + }, + "children": [] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + } + ] + }, + { + "type": "element", + "name": "defs", + "attributes": {}, + "children": [ + { + "type": "element", + "name": "clipPath", + "attributes": { + "id": "clip0_5981_52010" + }, + "children": [ + { + "type": "element", + "name": "rect", + "attributes": { + "width": "89.375", + "height": "10", + "fill": "white" + }, + "children": [] + } + ] + } + ] + } + ] + }, + "name": "AnthropicLight" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/public/llm/AnthropicLight.tsx b/web/app/components/base/icons/src/public/llm/AnthropicLight.tsx new file mode 100644 index 00000000000000..34df60f28c67aa --- /dev/null +++ b/web/app/components/base/icons/src/public/llm/AnthropicLight.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './AnthropicLight.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'AnthropicLight' + +export default Icon diff --git a/web/app/components/base/icons/src/public/llm/index.ts b/web/app/components/base/icons/src/public/llm/index.ts index 3545049795d582..cc9b531ebfcc64 100644 --- a/web/app/components/base/icons/src/public/llm/index.ts +++ b/web/app/components/base/icons/src/public/llm/index.ts @@ -1,3 +1,5 @@ +export { default as AnthropicDark } from './AnthropicDark' +export { default as AnthropicLight } from './AnthropicLight' export { default as AnthropicText } from './AnthropicText' export { default as Anthropic } from './Anthropic' export { default as AzureOpenaiServiceText } from './AzureOpenaiServiceText' diff --git a/web/app/components/base/icons/src/vender/other/AnthropicText.json b/web/app/components/base/icons/src/vender/other/AnthropicText.json new file mode 100644 index 00000000000000..a65ef47747aff4 --- /dev/null +++ b/web/app/components/base/icons/src/vender/other/AnthropicText.json @@ -0,0 +1,539 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "90", + "height": "20", + "viewBox": "0 0 90 20", + "fill": "none", + "xmlns": 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"clip0_8587_60274" + }, + "children": [ + { + "type": "element", + "name": "rect", + "attributes": { + "width": "89.375", + "height": "10", + "fill": "white", + "transform": "translate(0 5)" + }, + "children": [] + } + ] + } + ] + } + ] + }, + "name": "AnthropicText" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/other/AnthropicText.tsx b/web/app/components/base/icons/src/vender/other/AnthropicText.tsx new file mode 100644 index 00000000000000..868cfe5f2792ed --- /dev/null +++ b/web/app/components/base/icons/src/vender/other/AnthropicText.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './AnthropicText.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'AnthropicText' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/other/Group.json b/web/app/components/base/icons/src/vender/other/Group.json new file mode 100644 index 00000000000000..078febbc80f83f --- /dev/null +++ b/web/app/components/base/icons/src/vender/other/Group.json @@ -0,0 +1,66 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "14", + "height": "16", + "viewBox": "0 0 14 16", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Group" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector", + "d": "M5.6475 8.0115L0.333496 5.05884V11.3335C0.333491 11.4524 0.365258 11.569 0.425506 11.6715C0.485754 11.7739 0.572294 11.8584 0.676163 11.9162L6.3335 15.0588V9.17684C6.33344 8.93907 6.26981 8.70565 6.14919 8.50075C6.02857 8.29586 5.85536 8.12694 5.6475 8.0115Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_2", + "d": "M7.66699 9.17684V15.0588L13.3243 11.9162C13.4282 11.8584 13.5147 11.7739 13.575 11.6715C13.6352 11.569 13.667 11.4524 13.667 11.3335V5.05884L8.35299 8.0115C8.14513 8.12694 7.97192 8.29586 7.8513 8.50075C7.73068 8.70565 7.66705 8.93907 7.66699 9.17684Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_3", + "d": "M10.1913 2.34351C9.804 3.33351 8.588 4.00017 7 4.00017C5.412 4.00017 4.196 3.33351 3.80867 2.34351L1 3.90417L6.35267 6.87817C6.5507 6.98815 6.77348 7.04586 7 7.04586C7.22652 7.04586 7.4493 6.98815 7.64733 6.87817L13 3.90417L10.1913 2.34351Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_4", + "d": 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IconData} />) + +Icon.displayName = 'Group' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/other/Openai.json b/web/app/components/base/icons/src/vender/other/Openai.json new file mode 100644 index 00000000000000..236f66fcf2d935 --- /dev/null +++ b/web/app/components/base/icons/src/vender/other/Openai.json @@ -0,0 +1,80 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "80", + "height": "22", + "viewBox": "0 0 80 22", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "d": "M25.1152 10.5767C25.1152 14.1738 27.4253 16.6818 30.6264 16.6818C33.8274 16.6818 36.1375 14.1738 36.1375 10.5767C36.1375 6.97961 33.8274 4.47156 30.6264 4.47156C27.4253 4.47156 25.1152 6.97961 25.1152 10.5767ZM34.0254 10.5767C34.0254 13.1507 32.6229 14.8173 30.6264 14.8173C28.6298 14.8173 27.2273 13.1507 27.2273 10.5767C27.2273 8.00263 28.6298 6.3361 30.6264 6.3361C32.6229 6.3361 34.0254 8.00263 34.0254 10.5767Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M42.0868 16.6819C44.5124 16.6819 45.8984 14.6358 45.8984 12.1773C45.8984 9.71871 44.5124 7.67267 42.0868 7.67267C40.9648 7.67267 40.1398 8.11818 39.5953 8.76169V7.83767H37.6152V19.4704H39.5953V15.5928C40.1398 16.2364 40.9648 16.6819 42.0868 16.6819ZM39.5458 11.9298C39.5458 10.2962 40.4698 9.40521 41.6908 9.40521C43.1264 9.40521 43.9019 10.5272 43.9019 12.1773C43.9019 13.8273 43.1264 14.9493 41.6908 14.9493C40.4698 14.9493 39.5458 14.0418 39.5458 12.4413V11.9298Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M51.2545 16.6819C52.987 16.6819 54.3565 15.7743 54.967 14.2563L53.2675 13.6128C53.0035 14.5038 52.228 14.9988 51.2545 14.9988C49.9839 14.9988 49.0929 14.0913 48.9444 12.6063H55.0165V11.9463C55.0165 9.57021 53.68 7.67267 51.172 7.67267C48.6639 7.67267 47.0469 9.63621 47.0469 12.1773C47.0469 14.8503 48.7794 16.6819 51.2545 16.6819ZM51.1555 9.3392C52.4095 9.3392 53.0035 10.1642 53.02 11.1212H49.0434C49.3404 9.94972 50.1324 9.3392 51.1555 9.3392Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M56.5039 16.5004H58.484V11.4182C58.484 10.1807 59.3915 9.52071 60.2825 9.52071C61.3715 9.52071 61.8005 10.2962 61.8005 11.3687V16.5004H63.7806V10.7912C63.7806 8.9267 62.6915 7.67267 60.8765 7.67267C59.7545 7.67267 58.979 8.18418 58.484 8.76169V7.83767H56.5039V16.5004Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M69.5799 4.65308L65.0918 16.5003H67.1873L68.1939 13.7943H73.309L74.332 16.5003H76.4605L71.9724 4.65308H69.5799ZM70.7349 6.99613L72.616 11.9462H68.8869L70.7349 6.99613Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M79.8581 4.6875H77.7461V16.5348H79.8581V4.6875Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M20.2769 9.00436C20.776 7.50627 20.6041 5.86517 19.8059 4.50251C18.6055 2.41247 16.1924 1.3372 13.8356 1.84321C12.7871 0.662057 11.2808 -0.00964523 9.70154 -2.00271e-05C7.29248 -0.00552014 5.155 1.54551 4.41386 3.83769C2.86626 4.15463 1.53042 5.12334 0.748717 6.49631C-0.460621 8.58085 -0.184928 11.2085 1.43073 12.9961C0.931596 14.4942 1.10348 16.1353 1.90168 17.4979C3.10208 19.588 5.51526 20.6632 7.87206 20.1572C8.91983 21.3384 10.4269 22.0101 12.0061 21.9998C14.4165 22.006 16.5547 20.4535 17.2958 18.1593C18.8434 17.8424 20.1793 16.8737 20.961 15.5007C22.1689 13.4161 21.8925 10.7905 20.2776 9.00298L20.2769 9.00436ZM12.0075 20.5622C11.0429 20.5635 10.1085 20.226 9.36809 19.6079C9.40178 19.59 9.46022 19.5577 9.49803 19.5343L13.8789 17.0043C14.103 16.8771 14.2405 16.6385 14.2391 16.3807V10.2048L16.0906 11.2738C16.1105 11.2835 16.1236 11.3027 16.1264 11.3247V16.4391C16.1236 18.7134 14.2818 20.5574 12.0075 20.5622ZM3.14952 16.7788C2.6662 15.9441 2.49225 14.9658 2.65795 14.0163C2.69026 14.0356 2.74732 14.0707 2.78789 14.094L7.16873 16.6241C7.3908 16.754 7.6658 16.754 7.88856 16.6241L13.2367 13.5358V15.6739C13.2381 15.6959 13.2278 15.7173 13.2106 15.731L8.78233 18.2879C6.80985 19.4236 4.29079 18.7485 3.15021 16.7788H3.14952ZM1.99656 7.21613C2.47782 6.38012 3.23752 5.74073 4.14229 5.40866C4.14229 5.44647 4.14023 5.51316 4.14023 5.55991V10.6207C4.13885 10.8778 4.27636 11.1164 4.4998 11.2436L9.84798 14.3312L7.9965 15.4003C7.97794 15.4127 7.95456 15.4147 7.93393 15.4058L3.50496 12.8469C1.53661 11.707 0.86147 9.18861 1.99587 7.21682L1.99656 7.21613ZM17.2085 10.7561L11.8603 7.66783L13.7118 6.59943C13.7304 6.58706 13.7537 6.585 13.7744 6.59393L18.2033 9.1508C20.1751 10.29 20.851 12.8125 19.7118 14.7843C19.2298 15.6189 18.4708 16.2583 17.5667 16.5911V11.379C17.5688 11.1219 17.432 10.884 17.2092 10.7561H17.2085ZM19.0511 7.98271C19.0187 7.96278 18.9617 7.9284 18.9211 7.90502L14.5403 5.37497C14.3182 5.24503 14.0432 5.24503 13.8204 5.37497L8.47226 8.46329V6.32512C8.47088 6.30311 8.4812 6.2818 8.49838 6.26805L12.9267 3.71325C14.8991 2.57541 17.4209 3.25261 18.5581 5.22578C19.0387 6.05905 19.2126 7.03463 19.0497 7.98271H19.0511ZM7.46574 11.7936L5.61357 10.7245C5.59363 10.7149 5.58057 10.6956 5.57782 10.6736V5.55922C5.5792 3.28218 7.42655 1.43689 9.7036 1.43826C10.6668 1.43826 11.5991 1.77652 12.3395 2.39253C12.3058 2.41041 12.2481 2.44272 12.2096 2.46609L7.82874 4.99615C7.60461 5.12334 7.46711 5.36122 7.46849 5.61904L7.46574 11.7922V11.7936ZM8.47157 9.62519L10.8538 8.24947L13.236 9.6245V12.3752L10.8538 13.7503L8.47157 12.3752V9.62519Z", + "fill": "currentColor" + }, + "children": [] + } + ] + }, + "name": "Openai" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/other/Openai.tsx b/web/app/components/base/icons/src/vender/other/Openai.tsx new file mode 100644 index 00000000000000..cf8d21a4491c28 --- /dev/null +++ b/web/app/components/base/icons/src/vender/other/Openai.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './Openai.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'Openai' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/other/index.ts b/web/app/components/base/icons/src/vender/other/index.ts index 1982dcfa3a8251..8ddf5e7a862d5d 100644 --- a/web/app/components/base/icons/src/vender/other/index.ts +++ b/web/app/components/base/icons/src/vender/other/index.ts @@ -1,2 +1,5 @@ +export { default as AnthropicText } from './AnthropicText' export { default as Generator } from './Generator' +export { default as Group } from './Group' +export { default as Openai } from './Openai' export { default as ReplayLine } from './ReplayLine' diff --git a/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.json b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.json new file mode 100644 index 00000000000000..3733f98afd7408 --- /dev/null +++ b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.json @@ -0,0 +1,66 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "14", + "height": "14", + "viewBox": "0 0 14 14", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Icon" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector", + "fill-rule": "evenodd", + "clip-rule": "evenodd", + "d": "M11.3891 2.41987C11.6635 2.58871 11.749 2.94802 11.5802 3.22239L10.3324 5.25H11.0833C11.4055 5.25 11.6667 5.51117 11.6667 5.83334V11.6667C11.6667 12.311 11.1444 12.8333 10.5 12.8333H3.50001C2.85568 12.8333 2.33334 12.311 2.33334 11.6667V5.83334C2.33334 5.51117 2.59451 5.25 2.91668 5.25H8.96252L10.5865 2.61094C10.7554 2.33657 11.1147 2.25102 11.3891 2.41987ZM5.83334 7.58334C5.51118 7.58334 5.25001 7.84449 5.25001 8.16667C5.25001 8.48884 5.51118 8.75 5.83334 8.75H8.16668C8.48885 8.75 8.75001 8.48884 8.75001 8.16667C8.75001 7.84449 8.48885 7.58334 8.16668 7.58334H5.83334Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "g", + "attributes": { + "id": "Vector_2", + "opacity": "0.5" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "d": "M6.91257 1.79347C6.96898 1.76525 7.01477 1.71948 7.043 1.66303L7.32195 1.10508C7.42946 0.890105 7.73623 0.890105 7.84374 1.10508L8.12269 1.66303C8.15093 1.71948 8.19672 1.76525 8.25313 1.79347L8.81108 2.07245C9.0261 2.17994 9.0261 2.48672 8.81108 2.5942L8.25313 2.87318C8.19672 2.9014 8.15093 2.94717 8.12269 3.00362L7.84374 3.56158C7.73623 3.77655 7.42946 3.77655 7.32195 3.56158L7.043 3.00362C7.01477 2.94717 6.96898 2.9014 6.91257 2.87318L6.35461 2.5942C6.13965 2.48672 6.13965 2.17994 6.35461 2.07245L6.91257 1.79347Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M3.80145 2.7657C3.85789 2.73748 3.90366 2.69171 3.93189 2.63526L4.11364 2.27174C4.22113 2.05677 4.5279 2.05677 4.63539 2.27174L4.81715 2.63526C4.84537 2.6917 4.89114 2.73748 4.94759 2.7657L5.3111 2.94745C5.52607 3.05494 5.52607 3.36172 5.3111 3.4692L4.94759 3.65096C4.89114 3.67919 4.84537 3.72495 4.81715 3.7814L4.63539 4.14491C4.5279 4.35988 4.22113 4.35988 4.11364 4.14491L3.93189 3.7814C3.90366 3.72495 3.85789 3.67919 3.80145 3.65096L3.43793 3.4692C3.22296 3.36172 3.22296 3.05494 3.43793 2.94745L3.80145 2.7657Z", + "fill": "currentColor" + }, + "children": [] + } + ] + } + ] + } + ] + }, + "name": "BoxSparkleFill" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.tsx b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.tsx new file mode 100644 index 00000000000000..5b60827fe976e3 --- /dev/null +++ b/web/app/components/base/icons/src/vender/plugin/BoxSparkleFill.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './BoxSparkleFill.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'BoxSparkleFill' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/plugin/LeftCorner.json b/web/app/components/base/icons/src/vender/plugin/LeftCorner.json new file mode 100644 index 00000000000000..d4cd0cd0ecd913 --- /dev/null +++ b/web/app/components/base/icons/src/vender/plugin/LeftCorner.json @@ -0,0 +1,27 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "13", + "height": "20", + "viewBox": "0 0 13 20", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Shape", + "d": "M0 0H13V20C9.98017 20 7.26458 18.1615 6.14305 15.3576L0 0Z", + "fill": "currentColor" + }, + "children": [] + } + ] + }, + "name": "LeftCorner" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/plugin/LeftCorner.tsx b/web/app/components/base/icons/src/vender/plugin/LeftCorner.tsx new file mode 100644 index 00000000000000..dd215b9bf7b988 --- /dev/null +++ b/web/app/components/base/icons/src/vender/plugin/LeftCorner.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './LeftCorner.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'LeftCorner' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/plugin/index.ts b/web/app/components/base/icons/src/vender/plugin/index.ts new file mode 100644 index 00000000000000..943c764116120f --- /dev/null +++ b/web/app/components/base/icons/src/vender/plugin/index.ts @@ -0,0 +1,2 @@ +export { default as BoxSparkleFill } from './BoxSparkleFill' +export { default as LeftCorner } from './LeftCorner' diff --git a/web/app/components/base/icons/src/vender/solid/files/FileZip.json b/web/app/components/base/icons/src/vender/solid/files/FileZip.json new file mode 100644 index 00000000000000..11fe82391651ad --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/files/FileZip.json @@ -0,0 +1,47 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "16", + "height": "16", + "viewBox": "0 0 16 16", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Icon" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector", + "d": "M3.99999 1.33325H7.99999V5.33325C7.99999 6.06963 8.59692 6.66659 9.33332 6.66659H13.3333V13.3333C13.3333 14.0697 12.7364 14.6666 12 14.6666H6.66666V13.3333H7.99999V11.9999H6.66666V10.6666H7.99999V9.33325H6.66666V7.99992H5.33332V9.33325H6.66666V10.6666H5.33332V11.9999H6.66666V13.3333H5.33332V14.6666H3.99999C3.26361 14.6666 2.66666 14.0697 2.66666 13.3333V2.66659C2.66666 1.93021 3.26361 1.33325 3.99999 1.33325Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector_2", + "opacity": "0.5", + "d": "M12.9428 4.99993C13.0415 5.09868 13.1232 5.21133 13.1859 5.33327H9.33334V1.48071C9.45528 1.54338 9.56794 1.62504 9.66668 1.72379L12.9428 4.99993Z", + "fill": "currentColor" + }, + "children": [] + } + ] + } + ] + }, + "name": "FileZip" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/solid/files/FileZip.tsx b/web/app/components/base/icons/src/vender/solid/files/FileZip.tsx new file mode 100644 index 00000000000000..675fa0ac98cb01 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/files/FileZip.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './FileZip.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'FileZip' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/solid/files/index.ts b/web/app/components/base/icons/src/vender/solid/files/index.ts index 31feeb5309e8c7..fa93cd68dcea37 100644 --- a/web/app/components/base/icons/src/vender/solid/files/index.ts +++ b/web/app/components/base/icons/src/vender/solid/files/index.ts @@ -1,3 +1,4 @@ export { default as File05 } from './File05' export { default as FileSearch02 } from './FileSearch02' +export { default as FileZip } from './FileZip' export { default as Folder } from './Folder' diff --git a/web/app/components/base/icons/src/vender/solid/general/Github.json b/web/app/components/base/icons/src/vender/solid/general/Github.json new file mode 100644 index 00000000000000..46e694215b0e81 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/general/Github.json @@ -0,0 +1,36 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "16", + "height": "16", + "viewBox": "0 0 16 16", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Icon" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "id": "Vector", + "d": "M8 1C4.1325 1 1 4.1325 1 8C1 11.0975 3.00375 13.7137 5.78625 14.6413C6.13625 14.7025 6.2675 14.4925 6.2675 14.3088C6.2675 14.1425 6.25875 13.5913 6.25875 13.005C4.5 13.3288 4.045 12.5763 3.905 12.1825C3.82625 11.9812 3.485 11.36 3.1875 11.1937C2.9425 11.0625 2.5925 10.7387 3.17875 10.73C3.73 10.7212 4.12375 11.2375 4.255 11.4475C4.885 12.5062 5.89125 12.2088 6.29375 12.025C6.355 11.57 6.53875 11.2638 6.74 11.0887C5.1825 10.9137 3.555 10.31 3.555 7.6325C3.555 6.87125 3.82625 6.24125 4.2725 5.75125C4.2025 5.57625 3.9575 4.85875 4.3425 3.89625C4.3425 3.89625 4.92875 3.7125 6.2675 4.61375C6.8275 4.45625 7.4225 4.3775 8.0175 4.3775C8.6125 4.3775 9.2075 4.45625 9.7675 4.61375C11.1063 3.70375 11.6925 3.89625 11.6925 3.89625C12.0775 4.85875 11.8325 5.57625 11.7625 5.75125C12.2087 6.24125 12.48 6.8625 12.48 7.6325C12.48 10.3187 10.8438 10.9137 9.28625 11.0887C9.54 11.3075 9.75875 11.7275 9.75875 12.3837C9.75875 13.32 9.75 14.0725 9.75 14.3088C9.75 14.4925 9.88125 14.7113 10.2312 14.6413C11.6209 14.1721 12.8284 13.279 13.6839 12.0877C14.5393 10.8963 14.9996 9.46668 15 8C15 4.1325 11.8675 1 8 1Z", + "fill": "currentColor" + }, + "children": [] + } + ] + } + ] + }, + "name": "Github" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/solid/general/Github.tsx b/web/app/components/base/icons/src/vender/solid/general/Github.tsx new file mode 100644 index 00000000000000..416743fc71aea1 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/general/Github.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './Github.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'Github' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/solid/general/index.ts b/web/app/components/base/icons/src/vender/solid/general/index.ts index 9d2492e2875e37..52647905ab3df5 100644 --- a/web/app/components/base/icons/src/vender/solid/general/index.ts +++ b/web/app/components/base/icons/src/vender/solid/general/index.ts @@ -5,6 +5,7 @@ export { default as Download02 } from './Download02' export { default as Edit03 } from './Edit03' export { default as Edit04 } from './Edit04' export { default as Eye } from './Eye' +export { default as Github } from './Github' export { default as MessageClockCircle } from './MessageClockCircle' export { default as PlusCircle } from './PlusCircle' export { default as QuestionTriangle } from './QuestionTriangle' diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.json b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.json new file mode 100644 index 00000000000000..cd3006b76d59c7 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.json @@ -0,0 +1,26 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "xmlns": "http://www.w3.org/2000/svg", + "width": "12", + "height": "12", + "viewBox": "0 0 12 12", + "fill": "none" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "d": "M10.3567 3.56405L10.2334 3.84689C10.1432 4.05396 9.8568 4.05396 9.76655 3.84689L9.6433 3.56405C9.42355 3.05973 9.02775 2.6582 8.53385 2.43854L8.154 2.26961C7.94865 2.17826 7.94865 1.8794 8.154 1.78806L8.5126 1.62857C9.0192 1.40325 9.4221 0.986865 9.63805 0.465414L9.76465 0.159767C9.8529 -0.0532556 10.1471 -0.0532556 10.2353 0.159767L10.3619 0.465414C10.5779 0.986865 10.9808 1.40325 11.4874 1.62857L11.846 1.78806C12.0514 1.8794 12.0514 2.17826 11.846 2.26961L11.4662 2.43854C10.9723 2.6582 10.5764 3.05973 10.3567 3.56405ZM4.25 3H3.25V9H4.25V3ZM2 5H1V7H2V5ZM6.5 1H5.5V11H6.5V1ZM8.75 4H7.75V9H8.75V4ZM11 5H10V7H11V5Z", + "fill": "currentColor" + }, + "children": [] + } + ] + }, + "name": "AudioSupportIcon" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.tsx b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.tsx new file mode 100644 index 00000000000000..c9477fc07f84d9 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/AudioSupportIcon.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './AudioSupportIcon.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'AudioSupportIcon' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.json b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.json new file mode 100644 index 00000000000000..49cb6a521c6ffe --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.json @@ -0,0 +1,26 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "xmlns": "http://www.w3.org/2000/svg", + "width": "12", + "height": "12", + "viewBox": "0 0 12 12", + "fill": "none" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "d": "M10.5 4V10.4966C10.5 10.7751 10.2776 11 10.0033 11H1.9967C1.72248 11 1.5 10.778 1.5 10.5041V1.4959C1.5 1.22766 1.72435 1 2.00111 1H7.4984L10.5 4ZM9.5 4.5H7V2H2.5V10H9.5V4.5ZM4 3.5H5.5V4.5H4V3.5ZM4 5.5H8V6.5H4V5.5ZM4 7.5H8V8.5H4V7.5Z", + "fill": "currentColor" + }, + "children": [] + } + ] + }, + "name": "DocumentSupportIcon" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.tsx b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.tsx new file mode 100644 index 00000000000000..d848c5a1568552 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/DocumentSupportIcon.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './DocumentSupportIcon.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'DocumentSupportIcon' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.json b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.json new file mode 100644 index 00000000000000..4bc6881a5d6437 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.json @@ -0,0 +1,26 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "xmlns": "http://www.w3.org/2000/svg", + "width": "12", + "height": "12", + "viewBox": "0 0 12 12", + "fill": "none" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "d": "M10.2334 4.3469L10.3567 4.06406C10.5764 3.55974 10.9723 3.15821 11.4662 2.93854L11.846 2.76961C12.0514 2.67827 12.0514 2.37941 11.846 2.28806L11.4874 2.12857C10.9808 1.90326 10.5779 1.48687 10.3619 0.965415L10.2353 0.659765C10.1471 0.446745 9.8529 0.446745 9.76465 0.659765L9.63805 0.965415C9.4221 1.48687 9.0192 1.90326 8.5126 2.12857L8.154 2.28806C7.94865 2.37941 7.94865 2.67827 8.154 2.76961L8.53385 2.93854C9.02775 3.15821 9.42355 3.55974 9.6433 4.06406L9.76655 4.3469C9.8568 4.55396 10.1432 4.55396 10.2334 4.3469ZM1.4959 1.5H7V2.5H4V9.5H8V4.5H9V5.5H10H11V10.0033C11 10.2776 10.7723 10.5 10.5041 10.5H1.4959C1.22203 10.5 1 10.2775 1 10.0033V1.9967C1 1.72238 1.22766 1.5 1.4959 1.5ZM2 2.5V3.5H3V2.5H2ZM2 4.5V5.5H3V4.5H2ZM2 6.5V7.5H3V6.5H2ZM9 6.5V7.5H10V6.5H9ZM2 8.5V9.5H3V8.5H2ZM9 8.5V9.5H10V8.5H9Z", + "fill": "currentColor" + }, + "children": [] + } + ] + }, + "name": "VideoSupportIcon" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.tsx b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.tsx new file mode 100644 index 00000000000000..6406af0746cd96 --- /dev/null +++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/VideoSupportIcon.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './VideoSupportIcon.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'VideoSupportIcon' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts index ab43a47ea174e5..7c313fecfb4649 100644 --- a/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts +++ b/web/app/components/base/icons/src/vender/solid/mediaAndDevices/index.ts @@ -1,3 +1,5 @@ +export { default as AudioSupportIcon } from './AudioSupportIcon' +export { default as DocumentSupportIcon } from './DocumentSupportIcon' export { default as MagicBox } from './MagicBox' export { default as MagicEyes } from './MagicEyes' export { default as MagicWand } from './MagicWand' @@ -7,3 +9,4 @@ export { default as Robot } from './Robot' export { default as Sliders02 } from './Sliders02' export { default as Speaker } from './Speaker' export { default as StopCircle } from './StopCircle' +export { default as VideoSupportIcon } from './VideoSupportIcon' diff --git a/web/app/components/base/icons/src/vender/workflow/Agent.json b/web/app/components/base/icons/src/vender/workflow/Agent.json new file mode 100644 index 00000000000000..e7ed19369befef --- /dev/null +++ b/web/app/components/base/icons/src/vender/workflow/Agent.json @@ -0,0 +1,53 @@ +{ + "icon": { + "type": "element", + "isRootNode": true, + "name": "svg", + "attributes": { + "width": "16", + "height": "16", + "viewBox": "0 0 16 16", + "fill": "none", + "xmlns": "http://www.w3.org/2000/svg" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "agent" + }, + "children": [ + { + "type": "element", + "name": "g", + "attributes": { + "id": "Vector" + }, + "children": [ + { + "type": "element", + "name": "path", + "attributes": { + "d": "M14.7401 5.80454C14.5765 4.77996 14.1638 3.79808 13.5306 2.97273C12.8973 2.14738 12.0648 1.48568 11.1185 1.06589C10.1722 0.646098 9.12632 0.461106 8.08751 0.546487C7.05582 0.624753 6.04548 0.966277 5.17744 1.53548C4.3094 2.09758 3.58366 2.88024 3.09272 3.79808C2.59466 4.70881 2.33852 5.7405 2.33852 6.7793V7.22756L1.25703 9.3692C1.04357 9.80322 1.22145 10.3368 1.65547 10.5574L2.3314 10.8989V12.3006C2.3314 12.82 2.53063 13.3038 2.90061 13.6738C3.2706 14.0367 3.75442 14.243 4.27382 14.243H6.01702V14.7624C6.01702 15.1538 6.3372 15.4739 6.72853 15.4739C7.11986 15.4739 7.44004 15.1538 7.44004 14.7624V13.7094C7.44004 13.2185 7.04159 12.82 6.55065 12.82H4.27382C4.13864 12.82 4.00345 12.7631 3.91095 12.6706C3.81846 12.5781 3.76154 12.4429 3.76154 12.3077V10.5716C3.76154 10.2301 3.56943 9.92417 3.2706 9.77476L2.77254 9.52573L3.66904 7.73984C3.72596 7.61889 3.76154 7.4837 3.76154 7.34851V6.77219C3.76154 5.96818 3.96076 5.17129 4.34498 4.4669C4.72919 3.76251 5.28417 3.15772 5.9601 2.7237C6.63603 2.28968 7.41158 2.02643 8.20847 1.96239C9.00536 1.89835 9.81648 2.04066 10.5493 2.36795C11.2822 2.69524 11.9225 3.20042 12.4135 3.84077C12.8973 4.47402 13.2246 5.23533 13.3456 6.02511C13.4665 6.81488 13.3954 7.63312 13.125 8.38731C12.8617 9.12017 12.4206 9.78187 11.8585 10.3084C11.6735 10.4792 11.5668 10.7139 11.5668 10.9701V14.7624C11.5668 15.1538 11.887 15.4739 12.2783 15.4739C12.6696 15.4739 12.9898 15.1538 12.9898 14.7624V11.1978C13.6515 10.5432 14.1567 9.73918 14.4697 8.87114C14.8184 7.89637 14.918 6.83623 14.7615 5.81165L14.7401 5.80454Z", + "fill": "currentColor" + }, + "children": [] + }, + { + "type": "element", + "name": "path", + "attributes": { + "d": "M10.8055 7.99599C10.8909 7.83234 10.962 7.66158 11.0189 7.4837H11.6522C12.0435 7.4837 12.3637 7.16352 12.3637 6.77219C12.3637 6.38086 12.0435 6.06068 11.6522 6.06068H11.0189C10.9691 5.8828 10.898 5.71204 10.8055 5.54839L11.2537 5.10014C11.5312 4.82266 11.5312 4.3744 11.2537 4.09692C10.9762 3.81943 10.528 3.81943 10.2505 4.09692L9.80225 4.54517C9.6386 4.45267 9.46784 4.38863 9.28996 4.33171V3.69847C9.28996 3.30714 8.96978 2.98696 8.57845 2.98696C8.18712 2.98696 7.86694 3.30714 7.86694 3.69847V4.33171C7.68907 4.38152 7.5183 4.45267 7.35466 4.54517L6.90641 4.09692C6.62892 3.81943 6.18067 3.81943 5.90318 4.09692C5.62569 4.3744 5.62569 4.82266 5.90318 5.10014L6.35143 5.54839C6.26605 5.71204 6.1949 5.8828 6.13798 6.06068H5.50473C5.1134 6.06068 4.79323 6.38086 4.79323 6.77219C4.79323 7.16352 5.1134 7.4837 5.50473 7.4837H6.13798C6.18778 7.66158 6.25893 7.83234 6.35143 7.99599L5.90318 8.44424C5.62569 8.72172 5.62569 9.16997 5.90318 9.44746C6.04548 9.58976 6.22336 9.6538 6.40835 9.6538C6.59334 9.6538 6.77122 9.58265 6.91352 9.44746L7.36177 8.99921C7.52542 9.08459 7.69618 9.15574 7.87406 9.21267V9.84591C7.87406 10.2372 8.19424 10.5574 8.58557 10.5574C8.9769 10.5574 9.29708 10.2372 9.29708 9.84591V9.21267C9.47496 9.16286 9.64572 9.09171 9.80936 8.99921L10.2576 9.44746C10.3999 9.58976 10.5778 9.6538 10.7628 9.6538C10.9478 9.6538 11.1257 9.58265 11.268 9.44746C11.5454 9.16997 11.5454 8.72172 11.268 8.44424L10.8197 7.99599H10.8055ZM7.44004 6.77219C7.44004 6.14606 7.94521 5.64089 8.57134 5.64089C9.19747 5.64089 9.70264 6.14606 9.70264 6.77219C9.70264 7.39832 9.19747 7.90349 8.57134 7.90349C7.94521 7.90349 7.44004 7.39832 7.44004 6.77219Z", + "fill": "currentColor" + }, + "children": [] + } + ] + } + ] + } + ] + }, + "name": "Agent" +} \ No newline at end of file diff --git a/web/app/components/base/icons/src/vender/workflow/Agent.tsx b/web/app/components/base/icons/src/vender/workflow/Agent.tsx new file mode 100644 index 00000000000000..e4337d4dbd8d1b --- /dev/null +++ b/web/app/components/base/icons/src/vender/workflow/Agent.tsx @@ -0,0 +1,16 @@ +// GENERATE BY script +// DON NOT EDIT IT MANUALLY + +import * as React from 'react' +import data from './Agent.json' +import IconBase from '@/app/components/base/icons/IconBase' +import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase' + +const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>(( + props, + ref, +) => <IconBase {...props} ref={ref} data={data as IconData} />) + +Icon.displayName = 'Agent' + +export default Icon diff --git a/web/app/components/base/icons/src/vender/workflow/index.ts b/web/app/components/base/icons/src/vender/workflow/index.ts index b2cc7968bb1b07..11ce55b130d9fc 100644 --- a/web/app/components/base/icons/src/vender/workflow/index.ts +++ b/web/app/components/base/icons/src/vender/workflow/index.ts @@ -1,3 +1,4 @@ +export { default as Agent } from './Agent' export { default as Answer } from './Answer' export { default as Assigner } from './Assigner' export { default as Code } from './Code' diff --git a/web/app/components/base/image-uploader/image-link-input.tsx b/web/app/components/base/image-uploader/image-link-input.tsx index 477a76b56dbbc0..f15d4f52fe3f83 100644 --- a/web/app/components/base/image-uploader/image-link-input.tsx +++ b/web/app/components/base/image-uploader/image-link-input.tsx @@ -33,10 +33,10 @@ const ImageLinkInput: FC<ImageLinkInputProps> = ({ } return ( - <div className='flex items-center pl-1.5 pr-1 h-8 border border-gray-200 bg-white shadow-xs rounded-lg'> + <div className='flex items-center pl-1.5 pr-1 h-8 border border-components-panel-border bg-components-panel-bg shadow-xs rounded-lg'> <input type="text" - className='grow mr-0.5 px-1 h-[18px] text-[13px] outline-none appearance-none' + className='grow mr-0.5 px-1 h-[18px] text-[13px] text-text-primary bg-transparent outline-none appearance-none' value={imageLink} onChange={e => setImageLink(e.target.value)} placeholder={t('common.imageUploader.pasteImageLinkInputPlaceholder') || ''} diff --git a/web/app/components/base/image-uploader/image-list.tsx b/web/app/components/base/image-uploader/image-list.tsx index 35f6149b132d31..640f986350243c 100644 --- a/web/app/components/base/image-uploader/image-list.tsx +++ b/web/app/components/base/image-uploader/image-list.tsx @@ -119,12 +119,12 @@ const ImageList: FC<ImageListProps> = ({ type="button" className={cn( 'absolute z-10 -top-[9px] -right-[9px] items-center justify-center w-[18px] h-[18px]', - 'bg-white hover:bg-gray-50 border-[0.5px] border-black/2 rounded-2xl shadow-lg', + 'hover:bg-state-base-hover rounded-2xl shadow-lg', item.progress === -1 ? 'flex' : 'hidden group-hover:flex', )} onClick={() => onRemove && onRemove(item._id)} > - <RiCloseLine className="w-3 h-3 text-gray-500" /> + <RiCloseLine className="w-3 h-3 text-text-tertiary" /> </button> )} </div> diff --git a/web/app/components/base/image-uploader/image-preview.tsx b/web/app/components/base/image-uploader/image-preview.tsx index 748e6ba8daa088..1a11c9127587e5 100644 --- a/web/app/components/base/image-uploader/image-preview.tsx +++ b/web/app/components/base/image-uploader/image-preview.tsx @@ -7,7 +7,7 @@ import { useHotkeys } from 'react-hotkeys-hook' import Tooltip from '@/app/components/base/tooltip' import Toast from '@/app/components/base/toast' -type ImagePreviewProps = { +interface ImagePreviewProps { url: string title: string onCancel: () => void @@ -99,7 +99,7 @@ const ImagePreview: FC<ImagePreviewProps> = ({ for (let offset = 0; offset < byteCharacters.length; offset += 512) { const slice = byteCharacters.slice(offset, offset + 512) - const byteNumbers = new Array(slice.length) + const byteNumbers = Array.from({ length: slice.length }) for (let i = 0; i < slice.length; i++) byteNumbers[i] = slice.charCodeAt(i) diff --git a/web/app/components/base/image-uploader/text-generation-image-uploader.tsx b/web/app/components/base/image-uploader/text-generation-image-uploader.tsx index ed82f124154fb9..0a94b6ec8d7a59 100644 --- a/web/app/components/base/image-uploader/text-generation-image-uploader.tsx +++ b/web/app/components/base/image-uploader/text-generation-image-uploader.tsx @@ -50,7 +50,7 @@ const PasteImageLinkButton: FC<PasteImageLinkButtonProps> = ({ > <PortalToFollowElemTrigger onClick={handleToggle}> <div className={` - relative flex items-center justify-center px-3 h-8 bg-gray-100 hover:bg-gray-200 text-xs text-gray-500 rounded-lg + relative flex items-center justify-center px-3 h-8 bg-components-option-card-option-bg hover:bg-components-option-card-option-bg-hover text-xs text-text-tertiary rounded-lg ${disabled ? 'cursor-not-allowed' : 'cursor-pointer'} `}> <Link03 className='mr-2 w-4 h-4' /> @@ -58,7 +58,7 @@ const PasteImageLinkButton: FC<PasteImageLinkButtonProps> = ({ </div> </PortalToFollowElemTrigger> <PortalToFollowElemContent className='z-10'> - <div className='p-2 w-[320px] bg-white border-[0.5px] border-gray-200 rounded-lg shadow-lg'> + <div className='p-2 w-[320px] bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-lg shadow-lg'> <ImageLinkInput onUpload={handleUpload} /> </div> </PortalToFollowElemContent> @@ -98,9 +98,9 @@ const TextGenerationImageUploader: FC<TextGenerationImageUploaderProps> = ({ { hovering => ( <div className={` - flex items-center justify-center px-3 h-8 bg-gray-100 - text-xs text-gray-500 rounded-lg cursor-pointer - ${hovering && 'bg-gray-200'} + flex items-center justify-center px-3 h-8 bg-components-option-card-option-bg + text-xs text-text-tertiary rounded-lg cursor-pointer + ${hovering && 'bg-components-option-card-option-bg-hover'} `}> <ImagePlus className='mr-2 w-4 h-4' /> {t('common.imageUploader.uploadFromComputer')} diff --git a/web/app/components/base/install-button/index.tsx b/web/app/components/base/install-button/index.tsx new file mode 100644 index 00000000000000..848183780c36da --- /dev/null +++ b/web/app/components/base/install-button/index.tsx @@ -0,0 +1,27 @@ +import Button from '../button' +import { RiInstallLine, RiLoader2Line } from '@remixicon/react' + +type InstallButtonProps = { + loading: boolean + onInstall: (e: React.MouseEvent) => void + t: any +} + +const InstallButton = ({ loading, onInstall, t }: InstallButtonProps) => { + return ( + <Button size='small' className='z-[100]' onClick={onInstall}> + <div className={`flex px-[3px] justify-center items-center gap-1 + ${loading ? 'text-components-button-secondary-text-disabled' : 'text-components-button-secondary-text'} + system-xs-medium`} + > + {loading ? t('workflow.nodes.agent.pluginInstaller.installing') : t('workflow.nodes.agent.pluginInstaller.install')} + </div> + {loading + ? <RiLoader2Line className='w-3.5 h-3.5 text-text-quaternary animate-spin' /> + : <RiInstallLine className='w-3.5 h-3.5 text-text-secondary' /> + } + </Button> + ) +} + +export default InstallButton diff --git a/web/app/components/base/list-empty/index.tsx b/web/app/components/base/list-empty/index.tsx index e925878bc1d524..c295ffbaec6ef3 100644 --- a/web/app/components/base/list-empty/index.tsx +++ b/web/app/components/base/list-empty/index.tsx @@ -1,3 +1,4 @@ +import type { ReactNode } from 'react' import React from 'react' import { Variable02 } from '../icons/src/vender/solid/development' import VerticalLine from './vertical-line' @@ -5,19 +6,21 @@ import HorizontalLine from './horizontal-line' type ListEmptyProps = { title?: string - description?: React.ReactNode + description?: ReactNode + icon?: ReactNode } const ListEmpty = ({ title, description, + icon, }: ListEmptyProps) => { return ( <div className='flex w-[320px] p-4 flex-col items-start gap-2 rounded-[10px] bg-workflow-process-bg'> <div className='flex w-10 h-10 justify-center items-center gap-2 rounded-[10px]'> <div className='flex relative p-1 justify-center items-center gap-2 grow self-stretch rounded-[10px] border-[0.5px] border-components-card-border bg-components-card-bg shadow-lg'> - <Variable02 className='w-5 h-5 shrink-0 text-text-accent' /> + {icon || <Variable02 className='w-5 h-5 shrink-0 text-text-accent' />} <VerticalLine className='absolute -right-[1px] top-1/2 -translate-y-1/4'/> <VerticalLine className='absolute -left-[1px] top-1/2 -translate-y-1/4'/> <HorizontalLine className='absolute top-0 left-3/4 -translate-x-1/4 -translate-y-1/2'/> diff --git a/web/app/components/base/logo/logo-site.tsx b/web/app/components/base/logo/logo-site.tsx index a399ff3301c781..4b0e026afd2a81 100644 --- a/web/app/components/base/logo/logo-site.tsx +++ b/web/app/components/base/logo/logo-site.tsx @@ -1,7 +1,6 @@ 'use client' import type { FC } from 'react' import classNames from '@/utils/classnames' -import { useSelector } from '@/context/app-context' type LogoSiteProps = { className?: string @@ -10,17 +9,10 @@ type LogoSiteProps = { const LogoSite: FC<LogoSiteProps> = ({ className, }) => { - const { theme } = useSelector((s) => { - return { - theme: s.theme, - } - }) - - const src = theme === 'light' ? '/logo/logo-site.png' : `/logo/logo-site-${theme}.png` return ( <img - src={src} - className={classNames('block w-auto h-10', className)} + src={'/logo/logo.png'} + className={classNames('block w-[22.651px] h-[24.5px]', className)} alt='logo' /> ) diff --git a/web/app/components/base/markdown-blocks/think-block.tsx b/web/app/components/base/markdown-blocks/think-block.tsx index fbe453db8679d0..b68aff293defca 100644 --- a/web/app/components/base/markdown-blocks/think-block.tsx +++ b/web/app/components/base/markdown-blocks/think-block.tsx @@ -71,9 +71,9 @@ export const ThinkBlock = ({ children, ...props }: any) => { return ( <details {...(!isComplete && { open: true })} className="group"> <summary className="text-gray-500 font-bold list-none pl-2 flex items-center cursor-pointer select-none whitespace-nowrap"> - <div className="flex-shrink-0 flex items-center"> + <div className="shrink-0 flex items-center"> <svg - className="w-3 h-3 mr-2 transform transition-transform duration-500 group-open:rotate-90" + className="w-3 h-3 mr-2 transition-transform duration-500 group-open:rotate-90" fill="none" stroke="currentColor" viewBox="0 0 24 24" diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx index fc2e4184db3344..d21277cbb1a5b2 100644 --- a/web/app/components/base/markdown.tsx +++ b/web/app/components/base/markdown.tsx @@ -1,3 +1,4 @@ +import type { Components } from 'react-markdown' import ReactMarkdown from 'react-markdown' import ReactEcharts from 'echarts-for-react' import 'katex/dist/katex.min.css' @@ -8,8 +9,7 @@ import RemarkGfm from 'remark-gfm' import RehypeRaw from 'rehype-raw' import SyntaxHighlighter from 'react-syntax-highlighter' import { atelierHeathLight } from 'react-syntax-highlighter/dist/esm/styles/hljs' -import { Component, memo, useMemo, useRef, useState } from 'react' -import type { CodeComponent } from 'react-markdown/lib/ast-to-react' +import { Component, createContext, memo, useContext, useMemo, useRef, useState } from 'react' import { flow } from 'lodash/fp' import cn from '@/utils/classnames' import CopyBtn from '@/app/components/base/copy-btn' @@ -22,7 +22,7 @@ import AudioGallery from '@/app/components/base/audio-gallery' import SVGRenderer from '@/app/components/base/svg-gallery' import MarkdownButton from '@/app/components/base/markdown-blocks/button' import MarkdownForm from '@/app/components/base/markdown-blocks/form' -import ThinkBlock from '@/app/components/base/markdown-blocks/think-block' +import type { ElementContentMap } from 'hast' // Available language https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/AVAILABLE_LANGUAGES_HLJS.MD const capitalizationLanguageNameMap: Record<string, string> = { @@ -57,7 +57,7 @@ const getCorrectCapitalizationLanguageName = (language: string) => { return language.charAt(0).toUpperCase() + language.substring(1) } -const preprocessLaTeX = (content: string) => { +const preprocessLaTeX = (content?: string) => { if (typeof content !== 'string') return content @@ -91,6 +91,20 @@ export function PreCode(props: { children: any }) { ) } +const PreContext = createContext({ + // if children not in PreContext, just leave inline true + inline: true, +}) + +const PreBlock: Components['pre'] = (props) => { + const { ...rest } = props + return <PreContext.Provider value={{ + inline: false, + }}> + <pre {...rest} /> + </PreContext.Provider> +} + // **Add code block // Avoid error #185 (Maximum update depth exceeded. // This can happen when a component repeatedly calls setState inside componentWillUpdate or componentDidUpdate. @@ -104,7 +118,8 @@ export function PreCode(props: { children: any }) { // visit https://reactjs.org/docs/error-decoder.html?invariant=185 for the full message // or use the non-minified dev environment for full errors and additional helpful warnings. -const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props }) => { +const CodeBlock: Components['code'] = memo(({ className, children, ...props }) => { + const { inline } = useContext(PreContext) const [isSVG, setIsSVG] = useState(true) const match = /language-(\w+)/.exec(className || '') const language = match?.[1] @@ -143,7 +158,7 @@ const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props } else { return ( <SyntaxHighlighter - {...props} + {...props as any} style={atelierHeathLight} customStyle={{ paddingLeft: 12, @@ -184,23 +199,23 @@ const CodeBlock: CodeComponent = memo(({ inline, className, children, ...props } </div> ) }) -CodeBlock.displayName = 'CodeBlock' +// CodeBlock.displayName = 'CodeBlock' -const VideoBlock: CodeComponent = memo(({ node }) => { - const srcs = node.children.filter(child => 'properties' in child).map(child => (child as any).properties.src) +const VideoBlock: Components['video'] = memo(({ node }) => { + const srcs = node!.children.filter(child => 'properties' in child).map(child => (child as any).properties.src) if (srcs.length === 0) return null return <VideoGallery key={srcs.join()} srcs={srcs} /> }) -VideoBlock.displayName = 'VideoBlock' +// VideoBlock.displayName = 'VideoBlock' -const AudioBlock: CodeComponent = memo(({ node }) => { - const srcs = node.children.filter(child => 'properties' in child).map(child => (child as any).properties.src) +const AudioBlock: Components['audio'] = memo(({ node }) => { + const srcs = node!.children.filter(child => 'properties' in child).map(child => (child as any).properties.src) if (srcs.length === 0) return null return <AudioGallery key={srcs.join()} srcs={srcs} /> }) -AudioBlock.displayName = 'AudioBlock' +// AudioBlock.displayName = 'AudioBlock' const ScriptBlock = memo(({ node }: any) => { const scriptContent = node.children[0]?.value || '' @@ -208,34 +223,32 @@ const ScriptBlock = memo(({ node }: any) => { }) ScriptBlock.displayName = 'ScriptBlock' -const Paragraph = (paragraph: any) => { - const { node }: any = paragraph - const children_node = node.children - if (children_node && children_node[0] && 'tagName' in children_node[0] && children_node[0].tagName === 'img') { - return ( - <> - <ImageGallery srcs={[children_node[0].properties.src]} /> - <p>{paragraph.children.slice(1)}</p> - </> - ) - } - return <p>{paragraph.children}</p> +const Paragraph: Components['p'] = ({ node, children }) => { + const children_node = node!.children + if (children_node && children_node[0] && 'tagName' in children_node[0] && children_node[0].tagName === 'img') + return <ImageGallery srcs={[children_node?.[0]?.properties?.src as string]} /> + return <p>{children}</p> } -const Img = ({ src }: any) => { - return (<ImageGallery srcs={[src]} />) +const Img: Components['img'] = ({ src }) => { + return (<ImageGallery srcs={[src!]} />) } -const Link = ({ node, ...props }: any) => { - if (node.properties?.href && node.properties.href?.toString().startsWith('abbr')) { +const Link: Components['a'] = ({ node, ...props }) => { + if (node!.properties?.href && node!.properties.href?.toString().startsWith('abbr')) { // eslint-disable-next-line react-hooks/rules-of-hooks const { onSend } = useChatContext() - const hidden_text = decodeURIComponent(node.properties.href.toString().split('abbr:')[1]) - - return <abbr className="underline decoration-dashed !decoration-primary-700 cursor-pointer" onClick={() => onSend?.(hidden_text)} title={node.children[0]?.value}>{node.children[0]?.value}</abbr> + const hidden_text = decodeURIComponent(node!.properties.href.toString().split('abbr:')[1]) + const title = (node!.children[0] as ElementContentMap['text'])?.value + return <abbr className="underline decoration-dashed !decoration-primary-700 cursor-pointer" onClick={() => onSend?.(hidden_text)} title={title}>{title}</abbr> } else { - return <a {...props} target="_blank" className="underline decoration-dashed !decoration-primary-700 cursor-pointer">{node.children[0] ? node.children[0]?.value : 'Download'}</a> + const firstChild = node?.children?.[0] as ElementContentMap['text'] | undefined + return <a {...props} target="_blank" className="underline decoration-dashed !decoration-primary-700 cursor-pointer">{ + firstChild + ? firstChild.value + : 'Download' + }</a> } } @@ -245,7 +258,7 @@ export function Markdown(props: { content: string; className?: string }) { preprocessLaTeX, ])(props.content) return ( - <div className={cn(props.className, 'markdown-body')}> + <div className={cn('markdown-body', props.className)}> <ReactMarkdown remarkPlugins={[ RemarkGfm, @@ -271,6 +284,7 @@ export function Markdown(props: { content: string; className?: string }) { ]} disallowedElements={['iframe', 'head', 'html', 'meta', 'link', 'style', 'body']} components={{ + pre: PreBlock, code: CodeBlock, img: Img, video: VideoBlock, @@ -282,7 +296,6 @@ export function Markdown(props: { content: string; className?: string }) { script: ScriptBlock, details: ThinkBlock, }} - linkTarget='_blank' > {/* Markdown detect has problem. */} {latexContent} @@ -307,11 +320,11 @@ export default class ErrorBoundary extends Component { } render() { - // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // eslint-disable-next-line ts/ban-ts-comment // @ts-expect-error if (this.state.hasError) return <div>Oops! An error occurred. This could be due to an ECharts runtime error or invalid SVG content. <br />(see the browser console for more information)</div> - // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // eslint-disable-next-line ts/ban-ts-comment // @ts-expect-error return this.props.children } diff --git a/web/app/components/base/mermaid/index.tsx b/web/app/components/base/mermaid/index.tsx index bcc30ca9393623..af5c010ac21200 100644 --- a/web/app/components/base/mermaid/index.tsx +++ b/web/app/components/base/mermaid/index.tsx @@ -33,7 +33,7 @@ const Flowchart = React.forwardRef((props: { const prevPrimitiveCode = usePrevious(props.PrimitiveCode) const [isLoading, setIsLoading] = useState(true) - const timeRef = useRef<NodeJS.Timeout>() + const timeRef = useRef<number>() const [errMsg, setErrMsg] = useState('') const [imagePreviewUrl, setImagePreviewUrl] = useState('') @@ -75,15 +75,15 @@ const Flowchart = React.forwardRef((props: { useEffect(() => { if (timeRef.current) - clearTimeout(timeRef.current) + window.clearTimeout(timeRef.current) - timeRef.current = setTimeout(() => { + timeRef.current = window.setTimeout(() => { renderFlowchart(props.PrimitiveCode) }, 300) }, [props.PrimitiveCode]) return ( - // eslint-disable-next-line @typescript-eslint/ban-ts-comment + // eslint-disable-next-line ts/ban-ts-comment // @ts-expect-error <div ref={ref}> <div className="msh-segmented msh-segmented-sm css-23bs09 css-var-r1"> @@ -136,4 +136,6 @@ const Flowchart = React.forwardRef((props: { ) }) +Flowchart.displayName = 'Flowchart' + export default Flowchart diff --git a/web/app/components/base/message-log-modal/index.tsx b/web/app/components/base/message-log-modal/index.tsx index 7bbd3f311d7dd6..13667f1dc7e936 100644 --- a/web/app/components/base/message-log-modal/index.tsx +++ b/web/app/components/base/message-log-modal/index.tsx @@ -7,7 +7,7 @@ import cn from '@/utils/classnames' import type { IChatItem } from '@/app/components/base/chat/chat/type' import Run from '@/app/components/workflow/run' -type MessageLogModalProps = { +interface MessageLogModalProps { currentLogItem?: IChatItem defaultTab?: string width: number diff --git a/web/app/components/base/modal/index.tsx b/web/app/components/base/modal/index.tsx index 26cde5fce3dd6a..a659ccaac751b7 100644 --- a/web/app/components/base/modal/index.tsx +++ b/web/app/components/base/modal/index.tsx @@ -29,7 +29,7 @@ export default function Modal({ }: IModal) { return ( <Transition appear show={isShow} as={Fragment}> - <Dialog as="div" className={classNames('relative z-50', wrapperClassName)} onClose={onClose}> + <Dialog as="div" className={classNames('relative z-[60]', wrapperClassName)} onClose={onClose}> <Transition.Child as={Fragment} enter="ease-out duration-300" diff --git a/web/app/components/base/pagination/hook.ts b/web/app/components/base/pagination/hook.ts index 6501d6f457b0d2..32a2af8013fc43 100644 --- a/web/app/components/base/pagination/hook.ts +++ b/web/app/components/base/pagination/hook.ts @@ -10,7 +10,7 @@ const usePagination = ({ edgePageCount, middlePagesSiblingCount, }: IPaginationProps): IUsePagination => { - const pages = Array(totalPages) + const pages = new Array(totalPages) .fill(0) .map((_, i) => i + 1) diff --git a/web/app/components/base/pagination/index.tsx b/web/app/components/base/pagination/index.tsx index c0cc9f86ec2852..ec67040c01737f 100644 --- a/web/app/components/base/pagination/index.tsx +++ b/web/app/components/base/pagination/index.tsx @@ -33,20 +33,20 @@ const CustomizedPagination: FC<Props> = ({ const [showPerPageTip, setShowPerPageTip] = React.useState(false) const { run: handlePaging } = useDebounceFn((value: string) => { - if (parseInt(value) > totalPages) { + if (Number.parseInt(value) > totalPages) { setInputValue(totalPages) onChange(totalPages - 1) setShowInput(false) return } - if (parseInt(value) < 1) { + if (Number.parseInt(value) < 1) { setInputValue(1) onChange(0) setShowInput(false) return } - onChange(parseInt(value) - 1) - setInputValue(parseInt(value)) + onChange(Number.parseInt(value) - 1) + setInputValue(Number.parseInt(value)) setShowInput(false) }, { wait: 500 }) @@ -54,9 +54,9 @@ const CustomizedPagination: FC<Props> = ({ const value = e.target.value if (!value) return setInputValue('') - if (isNaN(parseInt(value))) + if (isNaN(Number.parseInt(value))) return setInputValue('') - setInputValue(parseInt(value)) + setInputValue(Number.parseInt(value)) handlePaging(value) } diff --git a/web/app/components/base/popover/index.tsx b/web/app/components/base/popover/index.tsx index 8fd9906a2bf4d9..f510c21642dc6c 100644 --- a/web/app/components/base/popover/index.tsx +++ b/web/app/components/base/popover/index.tsx @@ -33,15 +33,15 @@ export default function CustomPopover({ disabled = false, }: IPopover) { const buttonRef = useRef<HTMLButtonElement>(null) - const timeOutRef = useRef<NodeJS.Timeout | null>(null) + const timeOutRef = useRef<number | null>(null) const onMouseEnter = (isOpen: boolean) => { - timeOutRef.current && clearTimeout(timeOutRef.current) + timeOutRef.current && window.clearTimeout(timeOutRef.current) !isOpen && buttonRef.current?.click() } const onMouseLeave = (isOpen: boolean) => { - timeOutRef.current = setTimeout(() => { + timeOutRef.current = window.setTimeout(() => { isOpen && buttonRef.current?.click() }, timeoutDuration) } diff --git a/web/app/components/base/portal-to-follow-elem/index.tsx b/web/app/components/base/portal-to-follow-elem/index.tsx index 4a380e6abd5048..3d24c6ee9972f7 100644 --- a/web/app/components/base/portal-to-follow-elem/index.tsx +++ b/web/app/components/base/portal-to-follow-elem/index.tsx @@ -106,7 +106,7 @@ export function PortalToFollowElem({ } export const PortalToFollowElemTrigger = React.forwardRef< -HTMLElement, + HTMLElement, React.HTMLProps<HTMLElement> & { asChild?: boolean } >(({ children, asChild = false, ...props }, propRef) => { const context = usePortalToFollowElemContext() @@ -141,8 +141,8 @@ React.HTMLProps<HTMLElement> & { asChild?: boolean } PortalToFollowElemTrigger.displayName = 'PortalToFollowElemTrigger' export const PortalToFollowElemContent = React.forwardRef< -HTMLDivElement, -React.HTMLProps<HTMLDivElement> + HTMLDivElement, + React.HTMLProps<HTMLDivElement> >(({ style, ...props }, propRef) => { const context = usePortalToFollowElemContext() const ref = useMergeRefs([context.refs.setFloating, propRef]) diff --git a/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx b/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx index 5df4894c6b4106..49f4a056dbfa3f 100644 --- a/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx +++ b/web/app/components/base/prompt-editor/plugins/custom-text/node.tsx @@ -1,4 +1,4 @@ -import type { EditorConfig, NodeKey, SerializedTextNode } from 'lexical' +import type { EditorConfig, SerializedTextNode } from 'lexical' import { $createTextNode, TextNode } from 'lexical' export class CustomTextNode extends TextNode { @@ -10,9 +10,9 @@ export class CustomTextNode extends TextNode { return new CustomTextNode(node.__text, node.__key) } - constructor(text: string, key?: NodeKey) { - super(text, key) - } + // constructor(text: string, key?: NodeKey) { + // super(text, key) + // } createDOM(config: EditorConfig) { const dom = super.createDOM(config) diff --git a/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx b/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx index 9dd76fc1fa0a59..e83dd22fd43d8a 100644 --- a/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx +++ b/web/app/components/base/prompt-editor/plugins/variable-value-block/node.tsx @@ -1,7 +1,6 @@ import type { EditorConfig, LexicalNode, - NodeKey, SerializedTextNode, } from 'lexical' import { @@ -18,9 +17,9 @@ export class VariableValueBlockNode extends TextNode { return new VariableValueBlockNode(node.__text, node.__key) } - constructor(text: string, key?: NodeKey) { - super(text, key) - } + // constructor(text: string, key?: NodeKey) { + // super(text, key) + // } createDOM(config: EditorConfig): HTMLElement { const element = super.createDOM(config) diff --git a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx index e4154731ba9b77..9fa518218f7cc8 100644 --- a/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx +++ b/web/app/components/base/prompt-editor/plugins/workflow-variable-block/node.tsx @@ -18,7 +18,7 @@ export class WorkflowVariableBlockNode extends DecoratorNode<JSX.Element> { } static clone(node: WorkflowVariableBlockNode): WorkflowVariableBlockNode { - return new WorkflowVariableBlockNode(node.__variables, node.__workflowNodesMap) + return new WorkflowVariableBlockNode(node.__variables, node.__workflowNodesMap, node.__key) } isInline(): boolean { diff --git a/web/app/components/base/prompt-log-modal/card.tsx b/web/app/components/base/prompt-log-modal/card.tsx index 6c1ea8cf681129..6ea944a45244aa 100644 --- a/web/app/components/base/prompt-log-modal/card.tsx +++ b/web/app/components/base/prompt-log-modal/card.tsx @@ -12,7 +12,7 @@ const Card: FC<CardProps> = ({ { log.length === 1 && ( <div className='px-4 py-2'> - <div className='whitespace-pre-line text-gray-700'> + <div className='whitespace-pre-line text-text-secondary'> {log[0].text} </div> </div> @@ -23,12 +23,12 @@ const Card: FC<CardProps> = ({ <div> { log.map((item, index) => ( - <div key={index} className='group/card mb-2 px-4 pt-2 pb-4 rounded-xl hover:bg-gray-50 last-of-type:mb-0'> + <div key={index} className='group/card mb-2 px-4 pt-2 pb-4 rounded-xl hover:bg-state-base-hover last-of-type:mb-0'> <div className='flex justify-between items-center h-8'> <div className='font-semibold text-[#2D31A6]'>{item.role.toUpperCase()}</div> <CopyFeedbackNew className='hidden w-6 h-6 group-hover/card:block' content={item.text} /> </div> - <div className='whitespace-pre-line text-gray-700'>{item.text}</div> + <div className='whitespace-pre-line text-text-secondary'>{item.text}</div> </div> )) } diff --git a/web/app/components/base/prompt-log-modal/index.tsx b/web/app/components/base/prompt-log-modal/index.tsx index 3cf47d8d1a6124..4de5ab240c84f4 100644 --- a/web/app/components/base/prompt-log-modal/index.tsx +++ b/web/app/components/base/prompt-log-modal/index.tsx @@ -33,7 +33,7 @@ const PromptLogModal: FC<PromptLogModalProps> = ({ return ( <div - className='relative flex flex-col bg-white border-[0.5px] border-gray-200 rounded-xl shadow-xl z-10' + className='relative flex flex-col bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-xl shadow-xl z-10' style={{ width: 480, position: 'fixed', @@ -43,14 +43,14 @@ const PromptLogModal: FC<PromptLogModalProps> = ({ }} ref={ref} > - <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-b-gray-100'> - <div className='text-base font-semibold text-gray-900'>PROMPT LOG</div> + <div className='shrink-0 flex justify-between items-center pl-6 pr-5 h-14 border-b border-divider-regular'> + <div className='text-base font-semibold text-text-primary'>PROMPT LOG</div> <div className='flex items-center'> { currentLogItem.log?.length === 1 && ( <> <CopyFeedbackNew className='w-6 h-6' content={currentLogItem.log[0].text} /> - <div className='mx-2.5 w-[1px] h-[14px] bg-gray-200' /> + <div className='mx-2.5 w-[1px] h-[14px] bg-divider-regular' /> </> ) } @@ -58,7 +58,7 @@ const PromptLogModal: FC<PromptLogModalProps> = ({ onClick={onCancel} className='flex justify-center items-center w-6 h-6 cursor-pointer' > - <RiCloseLine className='w-4 h-4 text-gray-500' /> + <RiCloseLine className='w-4 h-4 text-text-tertiary' /> </div> </div> </div> diff --git a/web/app/components/base/qrcode/index.tsx b/web/app/components/base/qrcode/index.tsx index 75d4831db7ec6b..711df2de2dddf2 100644 --- a/web/app/components/base/qrcode/index.tsx +++ b/web/app/components/base/qrcode/index.tsx @@ -1,19 +1,20 @@ 'use client' import React, { useEffect, useRef, useState } from 'react' import { useTranslation } from 'react-i18next' -import { QRCodeSVG } from 'qrcode.react' -import QrcodeStyle from './style.module.css' +import { + RiQrCodeLine, +} from '@remixicon/react' +import { QRCodeCanvas as QRCode } from 'qrcode.react' +import ActionButton from '@/app/components/base/action-button' import Tooltip from '@/app/components/base/tooltip' type Props = { content: string - selectorId: string - className?: string } const prefixEmbedded = 'appOverview.overview.appInfo.qrcode.title' -const ShareQRCode = ({ content, selectorId, className }: Props) => { +const ShareQRCode = ({ content }: Props) => { const { t } = useTranslation() const [isShow, setIsShow] = useState<boolean>(false) const qrCodeRef = useRef<HTMLDivElement>(null) @@ -53,22 +54,21 @@ const ShareQRCode = ({ content, selectorId, className }: Props) => { <Tooltip popupContent={t(`${prefixEmbedded}`) || ''} > - <div - className={`w-8 h-8 cursor-pointer rounded-lg relative ${className ?? ''}`} - onClick={toggleQRCode} - > - <div className={`w-full h-full ${QrcodeStyle.QrcodeIcon} ${isShow ? QrcodeStyle.show : ''}`} /> + <div className='relative w-6 h-6' onClick={toggleQRCode}> + <ActionButton> + <RiQrCodeLine className='w-4 h-4' /> + </ActionButton> {isShow && ( <div ref={qrCodeRef} - className={`${QrcodeStyle.qrcodeform} !absolute right-0 top-0`} + className='absolute top-8 -right-8 z-10 w-[232px] flex flex-col items-center bg-components-panel-bg shadow-xs rounded-lg p-4' onClick={handlePanelClick} > - <QRCodeSVG size={160} value={content} className={QrcodeStyle.qrcodeimage}/> - <div className={QrcodeStyle.text}> - <div className={`text-text-tertiary ${QrcodeStyle.scan}`}>{t('appOverview.overview.appInfo.qrcode.scan')}</div> - <div className={`text-text-tertiary ${QrcodeStyle.scan}`}>·</div> - <div className={QrcodeStyle.download} onClick={downloadQR}>{t('appOverview.overview.appInfo.qrcode.download')}</div> + <QRCode size={160} value={content} className='mb-2' /> + <div className='flex items-center system-xs-regular'> + <div className='text-text-tertiary'>{t('appOverview.overview.appInfo.qrcode.scan')}</div> + <div className='text-text-tertiary'>·</div> + <div className='text-text-accent-secondary cursor-pointer' onClick={downloadQR}>{t('appOverview.overview.appInfo.qrcode.download')}</div> </div> </div> )} diff --git a/web/app/components/base/qrcode/style.module.css b/web/app/components/base/qrcode/style.module.css deleted file mode 100644 index b0c4441e995e17..00000000000000 --- a/web/app/components/base/qrcode/style.module.css +++ /dev/null @@ -1,61 +0,0 @@ -.QrcodeIcon { - background-image: url(~@/app/components/develop/secret-key/assets/qrcode.svg); - background-position: center; - background-repeat: no-repeat; -} - -.QrcodeIcon:hover { - background-image: url(~@/app/components/develop/secret-key/assets/qrcode-hover.svg); - background-position: center; - background-repeat: no-repeat; -} - -.QrcodeIcon.show { - background-image: url(~@/app/components/develop/secret-key/assets/qrcode-hover.svg); - background-position: center; - background-repeat: no-repeat; -} - -.qrcodeimage { - position: relative; - object-fit: cover; -} -.scan { - margin: 0; - line-height: 1rem; - font-size: 0.75rem; -} -.download { - position: relative; - color: #155eef; - font-size: 0.75rem; - line-height: 1rem; -} -.text { - align-self: stretch; - display: flex; - flex-direction: row; - align-items: center; - justify-content: center; - white-space: nowrap; - gap: 4px; -} -.qrcodeform { - border: 0.5px solid #eaecf0; - display: flex; - flex-direction: column; - margin: 0 !important; - margin-top: 4px !important; - margin-left: -75px !important; - width: fit-content; - position: relative; - border-radius: 8px; - background-color: #fff; - box-shadow: 0 12px 16px -4px rgba(16, 24, 40, 0.08), - 0 4px 6px -2px rgba(16, 24, 40, 0.03); - overflow: hidden; - align-items: center; - justify-content: center; - padding: 15px; - gap: 8px; -} diff --git a/web/app/components/base/radio/ui.tsx b/web/app/components/base/radio/ui.tsx index 234560a6901915..772c3de8b11048 100644 --- a/web/app/components/base/radio/ui.tsx +++ b/web/app/components/base/radio/ui.tsx @@ -11,7 +11,7 @@ const RadioUI: FC<Props> = ({ isChecked, }) => { return ( - <div className={cn(isChecked ? 'border-[5px] border-[#155eef]' : 'border-[2px] border-gray-200', 'w-4 h-4 rounded-full')}> + <div className={cn(isChecked ? 'border-[5px] border-components-radio-border-checked' : 'border-[2px] border-components-radio-border', 'w-4 h-4 rounded-full')}> </div> ) } diff --git a/web/app/components/base/select/index.tsx b/web/app/components/base/select/index.tsx index 221d70355ffb33..9ad964f79dd133 100644 --- a/web/app/components/base/select/index.tsx +++ b/web/app/components/base/select/index.tsx @@ -3,6 +3,7 @@ import type { FC } from 'react' import React, { Fragment, useEffect, useState } from 'react' import { Combobox, Listbox, Transition } from '@headlessui/react' import { ChevronDownIcon, ChevronUpIcon, XMarkIcon } from '@heroicons/react/20/solid' +import Badge from '../badge/index' import { RiCheckLine } from '@remixicon/react' import { useTranslation } from 'react-i18next' import classNames from '@/utils/classnames' @@ -58,7 +59,7 @@ const Select: FC<ISelectProps> = ({ disabled = false, onSelect, allowSearch = true, - bgClassName = 'bg-gray-100', + bgClassName = 'bg-components-input-bg-normal', overlayClassName, optionClassName, renderOption, @@ -98,10 +99,10 @@ const Select: FC<ISelectProps> = ({ } }}> <div className={classNames('relative')}> - <div className='group text-gray-800'> + <div className='group text-text-secondary'> {allowSearch ? <Combobox.Input - className={`w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200 ${disabled ? 'cursor-not-allowed' : 'cursor-pointer'}`} + className={`w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover ${disabled ? 'cursor-not-allowed' : 'cursor-pointer'}`} onChange={(event) => { if (!disabled) setQuery(event.target.value) @@ -113,10 +114,10 @@ const Select: FC<ISelectProps> = ({ if (!disabled) setOpen(!open) } - } className={classNames(`flex items-center h-9 w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-gray-200 group-hover:bg-gray-200`, optionClassName)}> + } className={classNames(`flex items-center h-9 w-full rounded-lg border-0 ${bgClassName} py-1.5 pl-3 pr-10 shadow-sm sm:text-sm sm:leading-6 focus-visible:outline-none focus-visible:bg-state-base-hover group-hover:bg-state-base-hover`, optionClassName)}> <div className='w-0 grow text-left truncate' title={selectedItem?.name}>{selectedItem?.name}</div> </Combobox.Button>} - <Combobox.Button className="absolute inset-y-0 right-0 flex items-center rounded-r-md px-2 focus:outline-none group-hover:bg-gray-200" onClick={ + <Combobox.Button className="absolute inset-y-0 right-0 flex items-center rounded-r-md px-2 focus:outline-none" onClick={ () => { if (!disabled) setOpen(!open) @@ -127,15 +128,15 @@ const Select: FC<ISelectProps> = ({ </div> {(filteredItems.length > 0 && open) && ( - <Combobox.Options className={`absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm ${overlayClassName}`}> + <Combobox.Options className={`absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg-blur backdrop-blur-sm py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm ${overlayClassName}`}> {filteredItems.map((item: Item) => ( <Combobox.Option key={item.value} value={item} className={({ active }: { active: boolean }) => classNames( - 'relative cursor-default select-none py-2 pl-3 pr-9 rounded-lg hover:bg-gray-100 text-gray-700', - active ? 'bg-gray-100' : '', + 'relative cursor-default select-none py-2 pl-3 pr-9 rounded-lg hover:bg-state-base-hover text-text-secondary', + active ? 'bg-state-base-hover' : '', optionClassName, ) } @@ -150,7 +151,7 @@ const Select: FC<ISelectProps> = ({ {selected && ( <span className={classNames( - 'absolute inset-y-0 right-0 flex items-center pr-4 text-gray-700', + 'absolute inset-y-0 right-0 flex items-center pr-4 text-text-secondary', )} > <RiCheckLine className="h-4 w-4" aria-hidden="true" /> @@ -244,7 +245,7 @@ const SimpleSelect: FC<ISelectProps> = ({ leaveTo="opacity-0" > - <Listbox.Options className={classNames('absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg-blur py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm', optionWrapClassName)}> + <Listbox.Options className={classNames('absolute z-10 mt-1 px-1 max-h-60 w-full overflow-auto rounded-md bg-components-panel-bg-blur backdrop-blur-sm py-1 text-base shadow-lg border-components-panel-border border-[0.5px] focus:outline-none sm:text-sm', optionWrapClassName)}> {items.map((item: Item) => ( <Listbox.Option key={item.value} @@ -290,6 +291,7 @@ type PortalSelectProps = { onSelect: (value: Item) => void items: Item[] placeholder?: string + installedValue?: string | number renderTrigger?: (value?: Item) => JSX.Element | null triggerClassName?: string triggerClassNameFn?: (open: boolean) => string @@ -303,6 +305,7 @@ const PortalSelect: FC<PortalSelectProps> = ({ onSelect, items, placeholder, + installedValue, renderTrigger, triggerClassName, triggerClassNameFn, @@ -314,7 +317,7 @@ const PortalSelect: FC<PortalSelectProps> = ({ const { t } = useTranslation() const [open, setOpen] = useState(false) const localPlaceholder = placeholder || t('common.placeholder.select') - const selectedItem = items.find(item => item.value === value) + const selectedItem = value ? items.find(item => item.value === value) : undefined return ( <PortalToFollowElem @@ -329,33 +332,34 @@ const PortalSelect: FC<PortalSelectProps> = ({ : ( <div className={classNames(` - flex items-center justify-between px-2.5 h-9 rounded-lg border-0 bg-gray-100 text-sm ${readonly ? 'cursor-not-allowed' : 'cursor-pointer'} + group flex items-center justify-between px-2.5 h-9 rounded-lg border-0 bg-components-input-bg-normal hover:bg-state-base-hover-alt text-sm ${readonly ? 'cursor-not-allowed' : 'cursor-pointer'} `, triggerClassName, triggerClassNameFn?.(open))} title={selectedItem?.name} > <span className={` grow truncate - ${!selectedItem?.name && 'text-gray-400'} + ${!selectedItem?.name && 'text-components-input-text-placeholder'} `} > {selectedItem?.name ?? localPlaceholder} </span> - <ChevronDownIcon className='shrink-0 h-4 w-4 text-gray-400' /> + <div className='mx-0.5'>{installedValue && selectedItem && selectedItem.value !== installedValue && <Badge>{installedValue} {'->'} {selectedItem.value} </Badge>}</div> + <ChevronDownIcon className='shrink-0 h-4 w-4 text-text-quaternary group-hover:text-text-secondary' /> </div> )} </PortalToFollowElemTrigger> <PortalToFollowElemContent className={`z-20 ${popupClassName}`}> <div - className={classNames('px-1 py-1 max-h-60 overflow-auto rounded-md bg-white text-base shadow-lg border-gray-200 border-[0.5px] focus:outline-none sm:text-sm', popupInnerClassName)} + className={classNames('px-1 py-1 max-h-60 overflow-auto rounded-md text-base shadow-lg border-components-panel-border bg-components-panel-bg border-[0.5px] focus:outline-none sm:text-sm', popupInnerClassName)} > {items.map((item: Item) => ( <div key={item.value} className={` - flex items-center justify-between px-2.5 h-9 cursor-pointer rounded-lg hover:bg-gray-100 text-gray-700 - ${item.value === value && 'bg-gray-100'} + flex items-center justify-between px-2.5 h-9 cursor-pointer rounded-lg hover:bg-state-base-hover text-text-secondary + ${item.value === value && 'bg-state-base-hover'} `} title={item.name} onClick={() => { @@ -367,7 +371,10 @@ const PortalSelect: FC<PortalSelectProps> = ({ className='w-0 grow truncate' title={item.name} > - {item.name} + <span className='truncate'>{item.name}</span> + {item.value === installedValue && ( + <Badge uppercase={true} className='shrink-0 ml-1'>INSTALLED</Badge> + )} </span> {!hideChecked && item.value === value && ( <RiCheckLine className='shrink-0 h-4 w-4 text-text-accent' /> diff --git a/web/app/components/base/skeleton/index.tsx b/web/app/components/base/skeleton/index.tsx index a2d4e4da631d51..41edc26cf9614a 100644 --- a/web/app/components/base/skeleton/index.tsx +++ b/web/app/components/base/skeleton/index.tsx @@ -24,7 +24,7 @@ export const SkeletonRow: FC<SkeletonProps> = (props) => { export const SkeletonRectangle: FC<SkeletonProps> = (props) => { const { className, children, ...rest } = props return ( - <div className={classNames('h-2 rounded-sm opacity-20 bg-text-tertiary my-1', className)} {...rest}> + <div className={classNames('h-2 rounded-sm opacity-20 bg-text-quaternary my-1', className)} {...rest}> {children} </div> ) diff --git a/web/app/components/base/sort/index.tsx b/web/app/components/base/sort/index.tsx index 36f1fdfdf7c04a..5b30a0edb8ae7f 100644 --- a/web/app/components/base/sort/index.tsx +++ b/web/app/components/base/sort/index.tsx @@ -14,7 +14,7 @@ export type Item = { name: string } & Record<string, any> -type Props = { +interface Props { order?: string value: number | string items: Item[] diff --git a/web/app/components/base/switch/index.tsx b/web/app/components/base/switch/index.tsx index 48e5c0cd8c169c..cbff726c762564 100644 --- a/web/app/components/base/switch/index.tsx +++ b/web/app/components/base/switch/index.tsx @@ -5,7 +5,7 @@ import classNames from '@/utils/classnames' type SwitchProps = { onChange?: (value: boolean) => void - size?: 'sm' | 'md' | 'lg' | 'l' + size?: 'xs' | 'sm' | 'md' | 'lg' | 'l' defaultValue?: boolean disabled?: boolean className?: string @@ -23,6 +23,7 @@ const Switch = React.forwardRef( l: 'h-5 w-9', md: 'h-4 w-7', sm: 'h-3 w-5', + xs: 'h-2.5 w-3.5', } const circleStyle = { @@ -30,6 +31,7 @@ const Switch = React.forwardRef( l: 'h-4 w-4', md: 'h-3 w-3', sm: 'h-2 w-2', + xs: 'h-1.5 w-1', } const translateLeft = { @@ -37,6 +39,7 @@ const Switch = React.forwardRef( l: 'translate-x-4', md: 'translate-x-3', sm: 'translate-x-2', + xs: 'translate-x-1.5', } return ( <OriginalSwitch @@ -53,6 +56,7 @@ const Switch = React.forwardRef( enabled ? 'bg-components-toggle-bg' : 'bg-components-toggle-bg-unchecked', 'relative inline-flex flex-shrink-0 cursor-pointer rounded-[5px] border-2 border-transparent transition-colors duration-200 ease-in-out', disabled ? '!opacity-50 !cursor-not-allowed' : '', + size === 'xs' && 'rounded-sm', className, )} > @@ -61,6 +65,7 @@ const Switch = React.forwardRef( className={classNames( circleStyle[size], enabled ? translateLeft[size] : 'translate-x-0', + size === 'xs' && 'rounded-[1px]', 'pointer-events-none inline-block transform rounded-[3px] bg-components-toggle-knob shadow ring-0 transition duration-200 ease-in-out', )} /> diff --git a/web/app/components/base/tab-slider-plain/index.tsx b/web/app/components/base/tab-slider-plain/index.tsx index a472aba502cf08..22a6c197d8f749 100644 --- a/web/app/components/base/tab-slider-plain/index.tsx +++ b/web/app/components/base/tab-slider-plain/index.tsx @@ -13,26 +13,29 @@ type ItemProps = { isActive: boolean onClick: (v: string) => void option: Option + smallItem?: boolean } const Item: FC<ItemProps> = ({ className, isActive, onClick, option, + smallItem, }) => { return ( <div key={option.value} className={cn( - 'relative pb-2.5 system-xl-semibold', + 'relative pb-2.5 ', !isActive && 'cursor-pointer', + smallItem ? 'system-sm-semibold-uppercase' : 'system-xl-semibold', className, )} onClick={() => !isActive && onClick(option.value)} > <div className={cn(isActive ? 'text-text-primary' : 'text-text-tertiary')}>{option.text}</div> {isActive && ( - <div className='absolute bottom-0 left-0 right-0 h-0.5 bg-util-colors-blue-blue-500'></div> + <div className='absolute bottom-0 left-0 right-0 h-0.5 bg-util-colors-blue-brand-blue-brand-600'></div> )} </div> ) @@ -44,6 +47,7 @@ type Props = { onChange: (v: string) => void options: Option[] noBorderBottom?: boolean + smallItem?: boolean itemClassName?: string } @@ -54,6 +58,7 @@ const TabSlider: FC<Props> = ({ options, noBorderBottom, itemClassName, + smallItem, }) => { return ( <div className={cn(className, !noBorderBottom && 'border-b border-divider-subtle', 'flex space-x-6')}> @@ -64,6 +69,7 @@ const TabSlider: FC<Props> = ({ onClick={onChange} key={option.value} className={itemClassName} + smallItem={smallItem} /> ))} </div> diff --git a/web/app/components/base/tab-slider/index.tsx b/web/app/components/base/tab-slider/index.tsx index 03296a9deebc17..1b4e42e0d76d18 100644 --- a/web/app/components/base/tab-slider/index.tsx +++ b/web/app/components/base/tab-slider/index.tsx @@ -1,64 +1,85 @@ import type { FC } from 'react' +import { useEffect, useState } from 'react' import cn from '@/utils/classnames' - +import Badge, { BadgeState } from '@/app/components/base/badge/index' +import { useInstalledPluginList } from '@/service/use-plugins' type Option = { value: string text: string } + type TabSliderProps = { className?: string - itemWidth?: number value: string onChange: (v: string) => void options: Option[] } + const TabSlider: FC<TabSliderProps> = ({ className, - itemWidth = 118, value, onChange, options, }) => { - const currentIndex = options.findIndex(option => option.value === value) - const current = options[currentIndex] + const [activeIndex, setActiveIndex] = useState(options.findIndex(option => option.value === value)) + const [sliderStyle, setSliderStyle] = useState({}) + const { data: pluginList } = useInstalledPluginList() + + const updateSliderStyle = (index: number) => { + const tabElement = document.getElementById(`tab-${index}`) + if (tabElement) { + const { offsetLeft, offsetWidth } = tabElement + setSliderStyle({ + transform: `translateX(${offsetLeft}px)`, + width: `${offsetWidth}px`, + }) + } + } + + useEffect(() => { + const newIndex = options.findIndex(option => option.value === value) + setActiveIndex(newIndex) + updateSliderStyle(newIndex) + }, [value, options, pluginList]) return ( - <div className={cn(className, 'relative flex p-0.5 rounded-lg bg-gray-200')}> - { - options.map((option, index) => ( - <div - key={option.value} - className={` - flex justify-center items-center h-7 text-[13px] - font-semibold text-gray-600 rounded-[7px] cursor-pointer - hover:bg-gray-50 - ${index !== options.length - 1 && 'mr-[1px]'} - `} - style={{ - width: itemWidth, - }} - onClick={() => onChange(option.value)} - > - {option.text} - </div> - )) - } - { - current && ( - <div - className={` - absolute flex justify-center items-center h-7 bg-white text-[13px] font-semibold text-primary-600 - border-[0.5px] border-gray-200 rounded-[7px] shadow-xs transition-transform - `} - style={{ - width: itemWidth, - transform: `translateX(${currentIndex * itemWidth + 1}px)`, - }} - > - {current.text} - </div> - ) - } + <div className={cn(className, 'inline-flex p-0.5 rounded-[10px] bg-components-segmented-control-bg-normal relative items-center justify-center')}> + <div + className="absolute top-0.5 bottom-0.5 left-0 right-0 bg-components-panel-bg rounded-[10px] transition-transform duration-300 ease-in-out shadows-shadow-xs" + style={sliderStyle} + /> + {options.map((option, index) => ( + <div + id={`tab-${index}`} + key={option.value} + className={cn( + 'relative flex justify-center items-center px-2.5 py-1.5 gap-1 rounded-[10px] transition-colors duration-300 ease-in-out cursor-pointer z-10', + 'system-md-semibold', + index === activeIndex + ? 'text-text-primary' + : 'text-text-tertiary', + )} + onClick={() => { + if (index !== activeIndex) { + onChange(option.value) + updateSliderStyle(index) + } + }} + > + {option.text} + {/* if no plugin installed, the badge won't show */} + {option.value === 'plugins' + && (pluginList?.plugins.length ?? 0) > 0 + && <Badge + size='s' + uppercase={true} + state={BadgeState.Default} + > + {pluginList?.plugins.length} + </Badge> + } + </div> + ))} </div> ) } diff --git a/web/app/components/base/tag-input/index.tsx b/web/app/components/base/tag-input/index.tsx index ec6c1cee342665..e3e5cef732178b 100644 --- a/web/app/components/base/tag-input/index.tsx +++ b/web/app/components/base/tag-input/index.tsx @@ -7,7 +7,7 @@ import { RiAddLine, RiCloseLine } from '@remixicon/react' import cn from '@/utils/classnames' import { useToastContext } from '@/app/components/base/toast' -type TagInputProps = { +interface TagInputProps { items: string[] onChange: (items: string[]) => void disableRemove?: boolean diff --git a/web/app/components/base/tag-management/filter.tsx b/web/app/components/base/tag-management/filter.tsx index 49a3e7cf4fab96..00408d3b810ee8 100644 --- a/web/app/components/base/tag-management/filter.tsx +++ b/web/app/components/base/tag-management/filter.tsx @@ -18,7 +18,7 @@ import type { Tag } from '@/app/components/base/tag-management/constant' import { fetchTagList } from '@/service/tag' -type TagFilterProps = { +interface TagFilterProps { type: 'knowledge' | 'app' value: string[] onChange: (v: string[]) => void diff --git a/web/app/components/base/tag-management/index.tsx b/web/app/components/base/tag-management/index.tsx index 1b859db9102678..26d18ffcf75748 100644 --- a/web/app/components/base/tag-management/index.tsx +++ b/web/app/components/base/tag-management/index.tsx @@ -30,7 +30,7 @@ const TagManagementModal = ({ show, type }: TagManagementModalProps) => { setTagList(res) } - const [pending, setPending] = useState<Boolean>(false) + const [pending, setPending] = useState<boolean>(false) const [name, setName] = useState<string>('') const createNewTag = async () => { if (!name) diff --git a/web/app/components/base/tag-management/selector.tsx b/web/app/components/base/tag-management/selector.tsx index 68fe7dd2abac70..01e9eb162f5187 100644 --- a/web/app/components/base/tag-management/selector.tsx +++ b/web/app/components/base/tag-management/selector.tsx @@ -16,7 +16,7 @@ import Checkbox from '@/app/components/base/checkbox' import { bindTag, createTag, fetchTagList, unBindTag } from '@/service/tag' import { ToastContext } from '@/app/components/base/toast' -type TagSelectorProps = { +interface TagSelectorProps { targetID: string isPopover?: boolean position?: 'bl' | 'br' @@ -54,7 +54,7 @@ const Panel = (props: PanelProps) => { return tagList.filter(tag => tag.type === type && !value.includes(tag.id) && tag.name.includes(keywords)) }, [type, tagList, value, keywords]) - const [creating, setCreating] = useState<Boolean>(false) + const [creating, setCreating] = useState<boolean>(false) const createNewTag = async () => { if (!keywords) return diff --git a/web/app/components/base/tag-management/tag-item-editor.tsx b/web/app/components/base/tag-management/tag-item-editor.tsx index 3735695302497d..0605f28cf6d7da 100644 --- a/web/app/components/base/tag-management/tag-item-editor.tsx +++ b/web/app/components/base/tag-management/tag-item-editor.tsx @@ -78,7 +78,7 @@ const TagItemEditor: FC<TagItemEditorProps> = ({ } } const [showRemoveModal, setShowRemoveModal] = useState(false) - const [pending, setPending] = useState<Boolean>(false) + const [pending, setPending] = useState<boolean>(false) const removeTag = async (tagID: string) => { if (pending) return diff --git a/web/app/components/base/text-generation/types.ts b/web/app/components/base/text-generation/types.ts index e4a8b76abbf3f5..87a79f4637eadd 100644 --- a/web/app/components/base/text-generation/types.ts +++ b/web/app/components/base/text-generation/types.ts @@ -7,32 +7,32 @@ import type { ExternalDataTool } from '@/models/common' export type { VisionFile } from '@/types/app' export { TransferMethod } from '@/types/app' -export type UserInputForm = { +export interface UserInputForm { default: string label: string required: boolean variable: string } -export type UserInputFormTextInput = { +export interface UserInputFormTextInput { 'text-input': UserInputForm & { max_length: number } } -export type UserInputFormSelect = { - 'select': UserInputForm & { +export interface UserInputFormSelect { + select: UserInputForm & { options: string[] } } -export type UserInputFormParagraph = { - 'paragraph': UserInputForm +export interface UserInputFormParagraph { + paragraph: UserInputForm } export type VisionConfig = VisionSettings -export type EnableType = { +export interface EnableType { enabled: boolean } diff --git a/web/app/components/base/toast/index.tsx b/web/app/components/base/toast/index.tsx index 3b2004aab3e050..4526eaafccd720 100644 --- a/web/app/components/base/toast/index.tsx +++ b/web/app/components/base/toast/index.tsx @@ -51,10 +51,11 @@ const Toast = ({ 'top-0', 'right-0', )}> - <div className={`absolute inset-0 opacity-40 -z-10 ${(type === 'success' && 'bg-[linear-gradient(92deg,rgba(23,178,106,0.25)_0%,rgba(255,255,255,0.00)_100%)]') - || (type === 'warning' && 'bg-[linear-gradient(92deg,rgba(247,144,9,0.25)_0%,rgba(255,255,255,0.00)_100%)]') - || (type === 'error' && 'bg-[linear-gradient(92deg,rgba(240,68,56,0.25)_0%,rgba(255,255,255,0.00)_100%)]') - || (type === 'info' && 'bg-[linear-gradient(92deg,rgba(11,165,236,0.25)_0%,rgba(255,255,255,0.00)_100%)]') + <div className={`absolute inset-0 opacity-40 ${ + (type === 'success' && 'bg-toast-success-bg') + || (type === 'warning' && 'bg-toast-warning-bg') + || (type === 'error' && 'bg-toast-error-bg') + || (type === 'info' && 'bg-toast-info-bg') }`} /> <div className={`flex ${size === 'md' ? 'gap-1' : 'gap-0.5'}`}> @@ -64,19 +65,18 @@ const Toast = ({ {type === 'warning' && <RiAlertFill className={`${size === 'md' ? 'w-5 h-5' : 'w-4 h-4'} text-text-warning-secondary`} aria-hidden="true" />} {type === 'info' && <RiInformation2Fill className={`${size === 'md' ? 'w-5 h-5' : 'w-4 h-4'} text-text-accent`} aria-hidden="true" />} </div> - <div className={`flex py-1 ${size === 'md' ? 'px-1' : 'px-0.5'} flex-col items-start gap-1 flex-grow z-10`}> - <div className='flex items-center gap-1'> - <div className='text-text-primary system-sm-semibold'>{message}</div> - {customComponent} - </div> + <div className={`flex py-1 ${size === 'md' ? 'px-1' : 'px-0.5'} flex-col items-start gap-1 grow`}> + <div className='text-text-primary system-sm-semibold'>{message}</div> {children && <div className='text-text-secondary system-xs-regular'> {children} </div> } </div> - <ActionButton onClick={close}> - <RiCloseLine className='w-4 h-4 flex-shrink-0 text-text-tertiary' /> - </ActionButton> + {close + && (<ActionButton className='z-[1000]' onClick={close}> + <RiCloseLine className='w-4 h-4 shrink-0 text-text-tertiary' /> + </ActionButton>) + } </div> </div> } diff --git a/web/app/components/base/tooltip/content.tsx b/web/app/components/base/tooltip/content.tsx new file mode 100644 index 00000000000000..fe357ccfa62736 --- /dev/null +++ b/web/app/components/base/tooltip/content.tsx @@ -0,0 +1,22 @@ +import type { FC, PropsWithChildren, ReactNode } from 'react' + +export type ToolTipContentProps = { + title?: ReactNode + action?: ReactNode +} & PropsWithChildren + +export const ToolTipContent: FC<ToolTipContentProps> = ({ + title, + action, + children, +}) => { + return ( + <div className='w-[180px]'> + {title && ( + <div className='mb-1.5 text-text-secondary font-semibold'>{title}</div> + )} + <div className='mb-1.5 text-text-tertiary'>{children}</div> + {action && <div className='text-text-accent cursor-pointer'>{action}</div>} + </div> + ) +} diff --git a/web/app/components/base/video-gallery/index.tsx b/web/app/components/base/video-gallery/index.tsx index a41dfe8e0afa78..ae2fab8e6f1424 100644 --- a/web/app/components/base/video-gallery/index.tsx +++ b/web/app/components/base/video-gallery/index.tsx @@ -6,7 +6,7 @@ type Props = { } const VideoGallery: React.FC<Props> = ({ srcs }) => { - return (<><br/>{srcs.map((src, index) => (<><br/><VideoPlayer key={`video_${index}`} src={src}/></>))}</>) + return (<><br/>{srcs.map((src, index) => (<React.Fragment key={`video_${index}`}><br/><VideoPlayer src={src}/></React.Fragment>))}</>) } export default React.memo(VideoGallery) diff --git a/web/app/components/billing/header-billing-btn/index.tsx b/web/app/components/billing/header-billing-btn/index.tsx index a8415524fda73a..a5bc310d9b896f 100644 --- a/web/app/components/billing/header-billing-btn/index.tsx +++ b/web/app/components/billing/header-billing-btn/index.tsx @@ -7,11 +7,13 @@ import cn from '@/utils/classnames' import { useProviderContext } from '@/context/provider-context' type Props = { - onClick: () => void + onClick?: () => void + isDisplayOnly?: boolean } const HeaderBillingBtn: FC<Props> = ({ onClick, + isDisplayOnly = false, }) => { const { plan, enableBilling, isFetchedPlan } = useProviderContext() const { @@ -25,9 +27,9 @@ const HeaderBillingBtn: FC<Props> = ({ })() const classNames = (() => { if (type === Plan.professional) - return 'border-[#E0F2FE] hover:border-[#B9E6FE] bg-[#E0F2FE] text-[#026AA2]' + return `border-[#E0F2FE] ${!isDisplayOnly ? 'hover:border-[#B9E6FE]' : ''} bg-[#E0F2FE] text-[#026AA2]` if (type === Plan.team) - return 'border-[#E0EAFF] hover:border-[#C7D7FE] bg-[#E0EAFF] text-[#3538CD]' + return `border-[#E0EAFF] ${!isDisplayOnly ? 'hover:border-[#C7D7FE]' : ''} bg-[#E0EAFF] text-[#3538CD]` return '' })() @@ -35,10 +37,22 @@ const HeaderBillingBtn: FC<Props> = ({ return null if (type === Plan.sandbox) - return <UpgradeBtn onClick={onClick} isShort /> + return <UpgradeBtn onClick={isDisplayOnly ? undefined : onClick} isShort /> + + const handleClick = () => { + if (!isDisplayOnly && onClick) + onClick() + } return ( - <div onClick={onClick} className={cn(classNames, 'flex items-center h-[22px] px-2 rounded-md border text-xs font-semibold uppercase cursor-pointer')}> + <div + onClick={handleClick} + className={cn( + classNames, + 'flex items-center h-[22px] px-2 rounded-md border text-xs font-semibold uppercase', + isDisplayOnly ? 'cursor-default' : 'cursor-pointer', + )} + > {name} </div> ) diff --git a/web/app/components/billing/upgrade-btn/index.tsx b/web/app/components/billing/upgrade-btn/index.tsx index d7885d75699252..f080e6bbc49887 100644 --- a/web/app/components/billing/upgrade-btn/index.tsx +++ b/web/app/components/billing/upgrade-btn/index.tsx @@ -2,9 +2,8 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { GoldCoin } from '../../base/icons/src/vender/solid/FinanceAndECommerce' -import { Sparkles } from '../../base/icons/src/public/billing' -import s from './style.module.css' +import PremiumBadge from '../../base/premium-badge' +import { SparklesSoft } from '@/app/components/base/icons/src/public/common' import cn from '@/utils/classnames' import { useModalContext } from '@/context/modal-context' @@ -36,9 +35,7 @@ const PlainBtn = ({ className, onClick }: { className?: string; onClick: () => v const UpgradeBtn: FC<Props> = ({ className, isPlain = false, - isFull = false, isShort = false, - size = 'md', onClick: _onClick, loc, }) => { @@ -63,22 +60,19 @@ const UpgradeBtn: FC<Props> = ({ return <PlainBtn onClick={onClick} className={className} /> return ( - <div - className={cn( - s.upgradeBtn, - className, - isFull ? 'justify-center' : 'px-3', - size === 'lg' ? 'h-10' : 'h-9', - 'relative flex items-center cursor-pointer border rounded-[20px] border-[#0096EA] text-white', - )} + <PremiumBadge + size="m" + color="blue" + allowHover={true} onClick={onClick} > - <GoldCoin className='mr-1 w-3.5 h-3.5' /> - <div className='text-xs font-normal'>{t(`billing.upgradeBtn.${isShort ? 'encourageShort' : 'encourage'}`)}</div> - <Sparkles - className='absolute -right-1 -top-2 w-4 h-5 bg-cover' - /> - </div> + <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' /> + <div className='system-xs-medium'> + <span className='p-1'> + {t(`billing.upgradeBtn.${isShort ? 'encourageShort' : 'encourage'}`)} + </span> + </div> + </PremiumBadge> ) } export default React.memo(UpgradeBtn) diff --git a/web/app/components/datasets/chunk.tsx b/web/app/components/datasets/chunk.tsx index bf2835dbdbe183..6f0c3342469db2 100644 --- a/web/app/components/datasets/chunk.tsx +++ b/web/app/components/datasets/chunk.tsx @@ -11,15 +11,17 @@ export const ChunkLabel: FC<ChunkLabelProps> = (props) => { const { label, characterCount } = props return <div className='flex items-center text-text-tertiary text-xs font-medium'> <SelectionMod className='size-[10px]' /> - <p className='flex gap-2 ml-0.5'><span> - {label} - </span> - <span> + <p className='flex gap-2 ml-0.5'> + <span> + {label} + </span> + <span> · - </span> - <span> - {`${characterCount} characters`} - </span></p> + </span> + <span> + {`${characterCount} characters`} + </span> + </p> </div> } diff --git a/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx b/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx index 7702a70d3f54ee..bce8f072d10707 100644 --- a/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx +++ b/web/app/components/datasets/create/empty-dataset-creation-modal/index.tsx @@ -12,7 +12,7 @@ import Button from '@/app/components/base/button' import { ToastContext } from '@/app/components/base/toast' import { createEmptyDataset } from '@/service/datasets' -type IProps = { +interface IProps { show: boolean onHide: () => void } diff --git a/web/app/components/datasets/create/index.tsx b/web/app/components/datasets/create/index.tsx index 9556b9fad5780e..b1e4087226e8b5 100644 --- a/web/app/components/datasets/create/index.tsx +++ b/web/app/components/datasets/create/index.tsx @@ -6,7 +6,7 @@ import { ModelTypeEnum } from '../../header/account-setting/model-provider-page/ import StepOne from './step-one' import StepTwo from './step-two' import StepThree from './step-three' -import { Topbar } from './top-bar' +import { TopBar } from './top-bar' import { DataSourceType } from '@/models/datasets' import type { CrawlOptions, CrawlResultItem, DataSet, FileItem, createDocumentResponse } from '@/models/datasets' import { fetchDataSource } from '@/service/common' @@ -111,7 +111,7 @@ const DatasetUpdateForm = ({ datasetId }: DatasetUpdateFormProps) => { const detail = await fetchDatasetDetail(datasetId) setDetail(detail) } - catch (e) { + catch { setHasError(true) } } @@ -123,7 +123,7 @@ const DatasetUpdateForm = ({ datasetId }: DatasetUpdateFormProps) => { return ( <div className='flex flex-col bg-components-panel-bg' style={{ height: 'calc(100vh - 56px)' }}> - <Topbar activeIndex={step - 1} /> + <TopBar activeIndex={step - 1} datasetId={datasetId} /> <div style={{ height: 'calc(100% - 52px)' }}> {step === 1 && <StepOne hasConnection={hasConnection} diff --git a/web/app/components/datasets/create/step-one/index.tsx b/web/app/components/datasets/create/step-one/index.tsx index 2cca003b397207..45dda517953eb1 100644 --- a/web/app/components/datasets/create/step-one/index.tsx +++ b/web/app/components/datasets/create/step-one/index.tsx @@ -23,7 +23,7 @@ import classNames from '@/utils/classnames' type IStepOneProps = { datasetId?: string dataSourceType?: DataSourceType - dataSourceTypeDisable: Boolean + dataSourceTypeDisable: boolean hasConnection: boolean onSetting: () => void files: FileItem[] diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx index ec9b3a5b42a6ae..65a8b474a38334 100644 --- a/web/app/components/datasets/create/step-two/index.tsx +++ b/web/app/components/datasets/create/step-two/index.tsx @@ -37,7 +37,7 @@ import Button from '@/app/components/base/button' import FloatRightContainer from '@/app/components/base/float-right-container' import RetrievalMethodConfig from '@/app/components/datasets/common/retrieval-method-config' import EconomicalRetrievalMethodConfig from '@/app/components/datasets/common/economical-retrieval-method-config' -import { type RetrievalConfig } from '@/types/app' +import type { RetrievalConfig } from '@/types/app' import { isReRankModelSelected } from '@/app/components/datasets/common/check-rerank-model' import Toast from '@/app/components/base/toast' import type { NotionPage } from '@/models/common' @@ -98,7 +98,7 @@ export enum IndexingType { const DEFAULT_SEGMENT_IDENTIFIER = '\\n\\n' const DEFAULT_MAXIMUM_CHUNK_LENGTH = 500 const DEFAULT_OVERLAP = 50 -const MAXIMUM_CHUNK_TOKEN_LENGTH = parseInt(globalThis.document?.body?.getAttribute('data-public-indexing-max-segmentation-tokens-length') || '4000', 10) +const MAXIMUM_CHUNK_TOKEN_LENGTH = Number.parseInt(globalThis.document?.body?.getAttribute('data-public-indexing-max-segmentation-tokens-length') || '4000', 10) type ParentChildConfig = { chunkForContext: ParentMode @@ -206,7 +206,7 @@ const StepTwo = ({ if (value === ChunkingMode.parentChild && indexType === IndexingType.ECONOMICAL) setIndexType(IndexingType.QUALIFIED) setDocForm(value) - // eslint-disable-next-line @typescript-eslint/no-use-before-define + // eslint-disable-next-line ts/no-use-before-define currentEstimateMutation.reset() } @@ -1073,10 +1073,9 @@ const StepTwo = ({ } { currentDocForm !== ChunkingMode.qa - && <Badge text={t( - 'datasetCreation.stepTwo.previewChunkCount', { - count: estimate?.total_segments || 0, - }) as string} + && <Badge text={t('datasetCreation.stepTwo.previewChunkCount', { + count: estimate?.total_segments || 0, + }) as string} /> } </div> diff --git a/web/app/components/datasets/create/step-two/language-select/index.tsx b/web/app/components/datasets/create/step-two/language-select/index.tsx index 9cbf1a40d133fc..7730e0539af3bc 100644 --- a/web/app/components/datasets/create/step-two/language-select/index.tsx +++ b/web/app/components/datasets/create/step-two/language-select/index.tsx @@ -6,7 +6,7 @@ import cn from '@/utils/classnames' import Popover from '@/app/components/base/popover' import { languages } from '@/i18n/language' -export type ILanguageSelectProps = { +export interface ILanguageSelectProps { currentLanguage: string onSelect: (language: string) => void disabled?: boolean diff --git a/web/app/components/datasets/create/steps-nav-bar/index.module.css b/web/app/components/datasets/create/steps-nav-bar/index.module.css deleted file mode 100644 index 965b1511fcf272..00000000000000 --- a/web/app/components/datasets/create/steps-nav-bar/index.module.css +++ /dev/null @@ -1,107 +0,0 @@ -.stepsHeader { - @apply flex items-center px-6 py-6; - color: #344054; - font-weight: 600; - font-size: 14px; - line-height: 20px; -} -.navBack { - @apply box-border flex justify-center items-center mr-3 w-8 h-8 bg-white bg-center bg-no-repeat cursor-pointer hover:border-gray-300; - border: 0.5px solid #F2F4F7; - box-shadow: 0px 12px 16px -4px rgba(16, 24, 40, 0.08), 0px 4px 6px -2px rgba(16, 24, 40, 0.03); - border-radius: 32px; - background-image: url(../assets/arrow-narrow-left.svg); - background-size: 16px; -} -.stepList { - @apply p-4 relative; - line-height: 18px; -} - -.stepItem { - @apply relative flex justify-items-start pt-3 pr-0 pb-3 box-content; - padding-left: 52px; - font-size: 13px; - height: 18px; -} - -.stepItem.step1::before { - content: ''; - position: absolute; - bottom: 0; - left: 23px; - width: 2px; - height: 7px; - background-color: #f2f4f7; -} - -.stepItem.step2::before { - content: ''; - position: absolute; - top: 0; - left: 23px; - width: 2px; - height: 100%; - background-color: #f2f4f7; -} -.stepItem.step2::after { - content: ''; - position: absolute; - top: 6px; - left: 23px; - width: 2px; - height: 28px; - background-color: #fff; -} - -.stepItem.step3::before { - content: ''; - position: absolute; - top: 0; - left: 23px; - width: 2px; - height: 7px; - background-color: #f2f4f7; -} - -.stepNum { - @apply box-border absolute top-2 left-3 flex justify-center items-center w-6 h-6; - color: #98a2b3; - font-size: 12px; - border: 1px solid #F2F4F7; - border-radius: 24px; - z-index: 1; -} - -.stepName { - color: #98a2b3; -} - -.stepItem.active .stepNum { - color: #1c64f2; - background-color: #EFF4FF; - border: none; -} - -.stepItem.active .stepName { - color: #1c64f2; -} - -.stepItem.done .stepNum { - color: #667085; - background-color: #f2f4f7; - border: none; -} - -.stepItem.done .stepNum::after { - content: ''; - display: flex; - width: 12px; - height: 12px; - background: center no-repeat url(../assets/check.svg); - background-size: 12px; -} - -.stepItem.done .stepName { - color: #667085; -} diff --git a/web/app/components/datasets/create/steps-nav-bar/index.tsx b/web/app/components/datasets/create/steps-nav-bar/index.tsx deleted file mode 100644 index b676f3ace4bf78..00000000000000 --- a/web/app/components/datasets/create/steps-nav-bar/index.tsx +++ /dev/null @@ -1,61 +0,0 @@ -'use client' -import { useTranslation } from 'react-i18next' -import { useRouter } from 'next/navigation' - -import { useCallback } from 'react' -import s from './index.module.css' -import cn from '@/utils/classnames' -import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' - -type IStepsNavBarProps = { - step: number - datasetId?: string -} - -const STEP_T_MAP: Record<number, string> = { - 1: 'datasetCreation.steps.one', - 2: 'datasetCreation.steps.two', - 3: 'datasetCreation.steps.three', -} - -const STEP_LIST = [1, 2, 3] - -const StepsNavBar = ({ - step, - datasetId, -}: IStepsNavBarProps) => { - const { t } = useTranslation() - const router = useRouter() - - const media = useBreakpoints() - const isMobile = media === MediaType.mobile - - const navBackHandle = useCallback(() => { - if (!datasetId) - router.replace('/datasets') - else - router.replace(`/datasets/${datasetId}/documents`) - }, [router, datasetId]) - - return ( - <div className='w-full pt-4'> - <div className={cn(s.stepsHeader, isMobile && '!px-0 justify-center')}> - <div onClick={navBackHandle} className={cn(s.navBack, isMobile && '!mr-0')} /> - {!isMobile && (!datasetId ? t('datasetCreation.steps.header.creation') : t('datasetCreation.steps.header.update'))} - </div> - <div className={cn(s.stepList, isMobile && '!p-0')}> - {STEP_LIST.map(item => ( - <div - key={item} - className={cn(s.stepItem, s[`step${item}`], step === item && s.active, step > item && s.done, isMobile && 'px-0')} - > - <div className={cn(s.stepNum)}>{step > item ? '' : item}</div> - <div className={cn(s.stepName)}>{isMobile ? '' : t(STEP_T_MAP[item])}</div> - </div> - ))} - </div> - </div> - ) -} - -export default StepsNavBar diff --git a/web/app/components/datasets/create/top-bar/index.tsx b/web/app/components/datasets/create/top-bar/index.tsx index 20ba7158db5ed8..8235c4f8042514 100644 --- a/web/app/components/datasets/create/top-bar/index.tsx +++ b/web/app/components/datasets/create/top-bar/index.tsx @@ -1,12 +1,13 @@ -import type { FC } from 'react' +import { type FC, useMemo } from 'react' import { RiArrowLeftLine } from '@remixicon/react' import Link from 'next/link' import { useTranslation } from 'react-i18next' import { Stepper, type StepperProps } from '../stepper' import classNames from '@/utils/classnames' -export type TopbarProps = Pick<StepperProps, 'activeIndex'> & { +export type TopBarProps = Pick<StepperProps, 'activeIndex'> & { className?: string + datasetId?: string } const STEP_T_MAP: Record<number, string> = { @@ -15,20 +16,25 @@ const STEP_T_MAP: Record<number, string> = { 3: 'datasetCreation.steps.three', } -export const Topbar: FC<TopbarProps> = (props) => { - const { className, ...rest } = props +export const TopBar: FC<TopBarProps> = (props) => { + const { className, datasetId, ...rest } = props const { t } = useTranslation() + + const fallbackRoute = useMemo(() => { + return datasetId ? `/datasets/${datasetId}/documents` : '/datasets' + }, [datasetId]) + return <div className={classNames('flex shrink-0 h-[52px] items-center justify-between relative border-b border-b-divider-subtle', className)}> - <Link href={'/datasets'} className="h-12 pl-2 pr-6 py-2 justify-start items-center gap-1 inline-flex"> + <Link href={fallbackRoute} replace className="h-12 pl-2 pr-6 py-2 justify-start items-center gap-1 inline-flex"> <div className='p-2'> <RiArrowLeftLine className='size-4 text-text-primary' /> </div> <p className="text-text-primary system-sm-semibold-uppercase"> - {t('datasetCreation.steps.header.creation')} + {t('datasetCreation.steps.header.fallbackRoute')} </p> </Link> <div className={ - 'top-1/2 left-1/2 transform -translate-x-1/2 -translate-y-1/2 absolute' + 'top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 absolute' }> <Stepper steps={Array.from({ length: 3 }, (_, i) => ({ diff --git a/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx b/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx index 25d40fe0763dab..609bce3125eb8d 100644 --- a/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx +++ b/web/app/components/datasets/create/website/jina-reader/base/checkbox-with-label.tsx @@ -5,7 +5,7 @@ import cn from '@/utils/classnames' import Checkbox from '@/app/components/base/checkbox' import Tooltip from '@/app/components/base/tooltip' -type Props = { +interface Props { className?: string isChecked: boolean onChange: (isChecked: boolean) => void diff --git a/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx b/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx index aa337ec4bf5323..4bd23fa293b974 100644 --- a/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx +++ b/web/app/components/datasets/create/website/jina-reader/base/error-message.tsx @@ -4,7 +4,7 @@ import React from 'react' import cn from '@/utils/classnames' import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback' -type Props = { +interface Props { className?: string title: string errorMsg?: string diff --git a/web/app/components/datasets/create/website/jina-reader/base/field.tsx b/web/app/components/datasets/create/website/jina-reader/base/field.tsx index 5b5ca90c5dd31d..363a57bdfc63d3 100644 --- a/web/app/components/datasets/create/website/jina-reader/base/field.tsx +++ b/web/app/components/datasets/create/website/jina-reader/base/field.tsx @@ -5,7 +5,7 @@ import Input from './input' import cn from '@/utils/classnames' import Tooltip from '@/app/components/base/tooltip' -type Props = { +interface Props { className?: string label: string labelClassName?: string diff --git a/web/app/components/datasets/create/website/jina-reader/base/input.tsx b/web/app/components/datasets/create/website/jina-reader/base/input.tsx index 7d2d2b609f0594..450ef4f721e058 100644 --- a/web/app/components/datasets/create/website/jina-reader/base/input.tsx +++ b/web/app/components/datasets/create/website/jina-reader/base/input.tsx @@ -2,7 +2,7 @@ import type { FC } from 'react' import React, { useCallback } from 'react' -type Props = { +interface Props { value: string | number onChange: (value: string | number) => void placeholder?: string @@ -20,7 +20,7 @@ const Input: FC<Props> = ({ const handleChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => { const value = e.target.value if (isNumber) { - let numberValue = parseInt(value, 10) // integer only + let numberValue = Number.parseInt(value, 10) // integer only if (isNaN(numberValue)) { onChange('') return diff --git a/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx b/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx index 652401a20f866b..644694896190ec 100644 --- a/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx +++ b/web/app/components/datasets/create/website/jina-reader/base/options-wrap.tsx @@ -8,7 +8,7 @@ import { Settings04 } from '@/app/components/base/icons/src/vender/line/general' import { ChevronRight } from '@/app/components/base/icons/src/vender/line/arrows' const I18N_PREFIX = 'datasetCreation.stepOne.website' -type Props = { +interface Props { className?: string children: React.ReactNode controlFoldOptions?: number diff --git a/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx b/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx index e6b04758746e1f..6ed2b9d799b04b 100644 --- a/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx +++ b/web/app/components/datasets/create/website/jina-reader/base/url-input.tsx @@ -7,7 +7,7 @@ import Button from '@/app/components/base/button' const I18N_PREFIX = 'datasetCreation.stepOne.website' -type Props = { +interface Props { isRunning: boolean onRun: (url: string) => void } diff --git a/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx b/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx index 5531d3e140dc0f..4999aeaea6a9eb 100644 --- a/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx +++ b/web/app/components/datasets/create/website/jina-reader/crawled-result-item.tsx @@ -6,7 +6,7 @@ import cn from '@/utils/classnames' import type { CrawlResultItem as CrawlResultItemType } from '@/models/datasets' import Checkbox from '@/app/components/base/checkbox' -type Props = { +interface Props { payload: CrawlResultItemType isChecked: boolean isPreview: boolean diff --git a/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx b/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx index 2bd51e4d731a95..1746fe63e32c37 100644 --- a/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx +++ b/web/app/components/datasets/create/website/jina-reader/crawled-result.tsx @@ -9,7 +9,7 @@ import type { CrawlResultItem } from '@/models/datasets' const I18N_PREFIX = 'datasetCreation.stepOne.website' -type Props = { +interface Props { className?: string list: CrawlResultItem[] checkedList: CrawlResultItem[] diff --git a/web/app/components/datasets/create/website/jina-reader/crawling.tsx b/web/app/components/datasets/create/website/jina-reader/crawling.tsx index ee26e7671a4b26..b84a938d22d4b5 100644 --- a/web/app/components/datasets/create/website/jina-reader/crawling.tsx +++ b/web/app/components/datasets/create/website/jina-reader/crawling.tsx @@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next' import cn from '@/utils/classnames' import { RowStruct } from '@/app/components/base/icons/src/public/other' -type Props = { +interface Props { className?: string crawledNum: number totalNum: number diff --git a/web/app/components/datasets/documents/detail/completed/SegmentCard.tsx b/web/app/components/datasets/documents/detail/completed/SegmentCard.tsx deleted file mode 100644 index 264d62b68a4f32..00000000000000 --- a/web/app/components/datasets/documents/detail/completed/SegmentCard.tsx +++ /dev/null @@ -1,259 +0,0 @@ -import type { FC } from 'react' -import React, { useState } from 'react' -import { ArrowUpRightIcon } from '@heroicons/react/24/outline' -import { useTranslation } from 'react-i18next' -import { - RiDeleteBinLine, -} from '@remixicon/react' -import { StatusItem } from '../../list' -import style from '../../style.module.css' -import s from './style.module.css' -import { SegmentIndexTag } from './common/segment-index-tag' -import cn from '@/utils/classnames' -import Confirm from '@/app/components/base/confirm' -import Switch from '@/app/components/base/switch' -import Divider from '@/app/components/base/divider' -import Indicator from '@/app/components/header/indicator' -import { formatNumber } from '@/utils/format' -import type { SegmentDetailModel } from '@/models/datasets' - -const ProgressBar: FC<{ percent: number; loading: boolean }> = ({ percent, loading }) => { - return ( - <div className={s.progressWrapper}> - <div className={cn(s.progress, loading ? s.progressLoading : '')}> - <div - className={s.progressInner} - style={{ width: `${loading ? 0 : (Math.min(percent, 1) * 100).toFixed(2)}%` }} - /> - </div> - <div className={loading ? s.progressTextLoading : s.progressText}>{loading ? null : percent.toFixed(2)}</div> - </div> - ) -} - -type DocumentTitleProps = { - extension?: string - name?: string - iconCls?: string - textCls?: string - wrapperCls?: string -} - -const DocumentTitle: FC<DocumentTitleProps> = ({ extension, name, iconCls, textCls, wrapperCls }) => { - const localExtension = extension?.toLowerCase() || name?.split('.')?.pop()?.toLowerCase() - return <div className={cn('flex items-center justify-start flex-1', wrapperCls)}> - <div className={cn(s[`${localExtension || 'txt'}Icon`], style.titleIcon, iconCls)}></div> - <span className={cn('font-semibold text-lg text-gray-900 ml-1', textCls)}> {name || '--'}</span> - </div> -} - -export type UsageScene = 'doc' | 'hitTesting' - -type ISegmentCardProps = { - loading: boolean - detail?: SegmentDetailModel & { document: { name: string } } - contentExternal?: string - refSource?: { - title: string - uri: string - } - isExternal?: boolean - score?: number - onClick?: () => void - onChangeSwitch?: (segId: string, enabled: boolean) => Promise<void> - onDelete?: (segId: string) => Promise<void> - scene?: UsageScene - className?: string - archived?: boolean - embeddingAvailable?: boolean -} - -const SegmentCard: FC<ISegmentCardProps> = ({ - detail = {}, - contentExternal, - isExternal, - refSource, - score, - onClick, - onChangeSwitch, - onDelete, - loading = true, - scene = 'doc', - className = '', - archived, - embeddingAvailable, -}) => { - const { t } = useTranslation() - const { - id, - position, - enabled, - content, - word_count, - hit_count, - index_node_hash, - answer, - } = detail as Required<ISegmentCardProps>['detail'] - const isDocScene = scene === 'doc' - const [showModal, setShowModal] = useState(false) - - const renderContent = () => { - if (answer) { - return ( - <> - <div className='flex mb-2'> - <div className='mr-2 text-[13px] font-semibold text-gray-400'>Q</div> - <div className='text-[13px]'>{content}</div> - </div> - <div className='flex'> - <div className='mr-2 text-[13px] font-semibold text-gray-400'>A</div> - <div className='text-[13px]'>{answer}</div> - </div> - </> - ) - } - - if (contentExternal) - return contentExternal - - return content - } - - return ( - <div - className={cn( - s.segWrapper, - (isDocScene && !enabled) ? 'bg-gray-25' : '', - 'group', - !loading ? 'pb-4 hover:pb-[10px]' : '', - className, - )} - onClick={() => onClick?.()} - > - <div className={s.segTitleWrapper}> - {isDocScene - ? <> - <SegmentIndexTag positionId={position} className={cn('w-fit group-hover:opacity-100', (isDocScene && !enabled) ? 'opacity-50' : '')} /> - <div className={s.segStatusWrapper}> - {loading - ? ( - <Indicator - color="gray" - className="bg-gray-200 border-gray-300 shadow-none" - /> - ) - : ( - <> - <StatusItem status={enabled ? 'enabled' : 'disabled'} reverse textCls="text-gray-500 text-xs" /> - {embeddingAvailable && ( - <div className="hidden group-hover:inline-flex items-center"> - <Divider type="vertical" className="!h-2" /> - <div - onClick={(e: React.MouseEvent<HTMLDivElement, MouseEvent>) => - e.stopPropagation() - } - className="inline-flex items-center" - > - <Switch - size='md' - disabled={archived || detail.status !== 'completed'} - defaultValue={enabled} - onChange={async (val) => { - await onChangeSwitch?.(id, val) - }} - /> - </div> - </div> - )} - </> - )} - </div> - </> - : ( - score !== null - ? ( - <div className={s.hitTitleWrapper}> - <div className={cn(s.commonIcon, s.targetIcon, loading ? '!bg-gray-300' : '', '!w-3.5 !h-3.5')} /> - <ProgressBar percent={score ?? 0} loading={loading} /> - </div> - ) - : null - )} - </div> - {loading - ? ( - <div className={cn(s.cardLoadingWrapper, s.cardLoadingIcon)}> - <div className={cn(s.cardLoadingBg)} /> - </div> - ) - : ( - isDocScene - ? <> - <div - className={cn( - s.segContent, - enabled ? '' : 'opacity-50', - 'group-hover:text-transparent group-hover:bg-clip-text group-hover:bg-gradient-to-b', - )} - > - {renderContent()} - </div> - <div className={cn('group-hover:flex', s.segData)}> - <div className="flex items-center mr-6"> - <div className={cn(s.commonIcon, s.typeSquareIcon)}></div> - <div className={s.segDataText}>{formatNumber(word_count)}</div> - </div> - <div className="flex items-center mr-6"> - <div className={cn(s.commonIcon, s.targetIcon)} /> - <div className={s.segDataText}>{formatNumber(hit_count)}</div> - </div> - <div className="grow flex items-center"> - <div className={cn(s.commonIcon, s.bezierCurveIcon)} /> - <div className={s.segDataText}>{index_node_hash}</div> - </div> - {!archived && embeddingAvailable && ( - <div className='shrink-0 w-6 h-6 flex items-center justify-center rounded-md hover:bg-red-100 hover:text-red-600 cursor-pointer group/delete' onClick={(e) => { - e.stopPropagation() - setShowModal(true) - }}> - <RiDeleteBinLine className='w-[14px] h-[14px] text-gray-500 group-hover/delete:text-red-600' /> - </div> - )} - </div> - </> - : <> - <div className="h-[140px] overflow-hidden text-ellipsis text-sm font-normal text-gray-800"> - {renderContent()} - </div> - <div className={cn('w-full bg-gray-50 group-hover:bg-white')}> - <Divider /> - <div className="relative flex items-center w-full pb-1"> - <DocumentTitle - name={detail?.document?.name || refSource?.title || ''} - extension={(detail?.document?.name || refSource?.title || '').split('.').pop() || 'txt'} - wrapperCls='w-full' - iconCls="!h-4 !w-4 !bg-contain" - textCls="text-xs text-gray-700 !font-normal overflow-hidden whitespace-nowrap text-ellipsis" - /> - <div className={cn(s.chartLinkText, 'group-hover:inline-flex')}> - {isExternal ? t('datasetHitTesting.viewDetail') : t('datasetHitTesting.viewChart')} - <ArrowUpRightIcon className="w-3 h-3 ml-1 stroke-current stroke-2" /> - </div> - </div> - </div> - </> - )} - {showModal - && <Confirm - isShow={showModal} - title={t('datasetDocuments.segment.delete')} - confirmText={t('common.operation.sure')} - onConfirm={async () => { await onDelete?.(id) }} - onCancel={() => setShowModal(false)} - /> - } - </div> - ) -} - -export default SegmentCard diff --git a/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx b/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx index e6403fa12fd0aa..af2989b1885307 100644 --- a/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx +++ b/web/app/components/datasets/documents/detail/completed/common/chunk-content.tsx @@ -3,6 +3,7 @@ import type { ComponentProps, FC } from 'react' import { useTranslation } from 'react-i18next' import { ChunkingMode } from '@/models/datasets' import classNames from '@/utils/classnames' +import { Markdown } from '@/app/components/base/markdown' type IContentProps = ComponentProps<'textarea'> @@ -52,7 +53,7 @@ const AutoResizeTextArea: FC<IAutoResizeTextAreaProps> = React.memo(({ if (!textarea) return textarea.style.height = 'auto' - const lineHeight = parseInt(getComputedStyle(textarea).lineHeight) + const lineHeight = Number.parseInt(getComputedStyle(textarea).lineHeight) const textareaHeight = Math.max(textarea.scrollHeight, lineHeight) textarea.style.height = `${textareaHeight}px` }, [value]) @@ -175,6 +176,15 @@ const ChunkContent: FC<IChunkContentProps> = ({ /> } + if (!isEditMode) { + return ( + <Markdown + className='h-full w-full !text-text-secondary' + content={question} + /> + ) + } + return ( <Textarea className='h-full w-full pb-6 body-md-regular text-text-secondary tracking-[-0.07px] caret-[#295EFF]' diff --git a/web/app/components/datasets/documents/detail/completed/index.tsx b/web/app/components/datasets/documents/detail/completed/index.tsx index d4a4f035781bd9..e81d3cf3be7e3b 100644 --- a/web/app/components/datasets/documents/detail/completed/index.tsx +++ b/web/app/components/datasets/documents/detail/completed/index.tsx @@ -80,7 +80,7 @@ export const useSegmentListContext = (selector: (value: SegmentListContextValue) return useContextSelector(SegmentListContext, selector) } -type ICompletedProps = { +interface ICompletedProps { embeddingAvailable: boolean showNewSegmentModal: boolean onNewSegmentModalChange: (state: boolean) => void diff --git a/web/app/components/datasets/documents/detail/completed/segment-card/chunk-content.tsx b/web/app/components/datasets/documents/detail/completed/segment-card/chunk-content.tsx new file mode 100644 index 00000000000000..3185110d5fb6fb --- /dev/null +++ b/web/app/components/datasets/documents/detail/completed/segment-card/chunk-content.tsx @@ -0,0 +1,56 @@ +import React, { type FC } from 'react' +import cn from '@/utils/classnames' +import { useSegmentListContext } from '..' +import { Markdown } from '@/app/components/base/markdown' + +type ChunkContentProps = { + detail: { + answer?: string + content: string + sign_content: string + } + isFullDocMode: boolean + className?: string +} + +const ChunkContent: FC<ChunkContentProps> = ({ + detail, + isFullDocMode, + className, +}) => { + const { answer, content, sign_content } = detail + const isCollapsed = useSegmentListContext(s => s.isCollapsed) + + if (answer) { + return ( + <div className={className}> + <div className='flex gap-x-1'> + <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>Q</div> + <div + className={cn('text-text-secondary body-md-regular', + isCollapsed ? 'line-clamp-2' : 'line-clamp-20', + )}> + {content} + </div> + </div> + <div className='flex gap-x-1'> + <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>A</div> + <div className={cn('text-text-secondary body-md-regular', + isCollapsed ? 'line-clamp-2' : 'line-clamp-20', + )}> + {answer} + </div> + </div> + </div> + ) + } + return <Markdown + className={cn('!text-text-secondary !mt-0.5', + isFullDocMode ? 'line-clamp-3' : isCollapsed ? 'line-clamp-2' : 'line-clamp-20', + className, + )} + content={sign_content || content} + /> +} + +export default React.memo(ChunkContent) diff --git a/web/app/components/datasets/documents/detail/completed/segment-card.tsx b/web/app/components/datasets/documents/detail/completed/segment-card/index.tsx similarity index 85% rename from web/app/components/datasets/documents/detail/completed/segment-card.tsx rename to web/app/components/datasets/documents/detail/completed/segment-card/index.tsx index 1cadd0cf967ad8..2d580469e54fad 100644 --- a/web/app/components/datasets/documents/detail/completed/segment-card.tsx +++ b/web/app/components/datasets/documents/detail/completed/segment-card/index.tsx @@ -1,14 +1,13 @@ import React, { type FC, useCallback, useMemo, useState } from 'react' import { useTranslation } from 'react-i18next' import { RiDeleteBinLine, RiEditLine } from '@remixicon/react' -import { StatusItem } from '../../list' -import { useDocumentContext } from '../index' -import ChildSegmentList from './child-segment-list' -import Tag from './common/tag' -import Dot from './common/dot' -import { SegmentIndexTag } from './common/segment-index-tag' -import ParentChunkCardSkeleton from './skeleton/parent-chunk-card-skeleton' -import { useSegmentListContext } from './index' +import { StatusItem } from '../../../list' +import { useDocumentContext } from '../../index' +import ChildSegmentList from '../child-segment-list' +import Tag from '../common/tag' +import Dot from '../common/dot' +import { SegmentIndexTag } from '../common/segment-index-tag' +import ParentChunkCardSkeleton from '../skeleton/parent-chunk-card-skeleton' import type { ChildChunkDetail, SegmentDetailModel } from '@/models/datasets' import Switch from '@/app/components/base/switch' import Divider from '@/app/components/base/divider' @@ -18,6 +17,7 @@ import cn from '@/utils/classnames' import Badge from '@/app/components/base/badge' import { isAfter } from '@/utils/time' import Tooltip from '@/app/components/base/tooltip' +import ChunkContent from './chunk-content' type ISegmentCardProps = { loading: boolean @@ -59,6 +59,7 @@ const SegmentCard: FC<ISegmentCardProps> = ({ position, enabled, content, + sign_content, word_count, hit_count, answer, @@ -68,7 +69,6 @@ const SegmentCard: FC<ISegmentCardProps> = ({ updated_at, } = detail as Required<ISegmentCardProps>['detail'] const [showModal, setShowModal] = useState(false) - const isCollapsed = useSegmentListContext(s => s.isCollapsed) const mode = useDocumentContext(s => s.mode) const parentMode = useDocumentContext(s => s.parentMode) @@ -103,33 +103,6 @@ const SegmentCard: FC<ISegmentCardProps> = ({ onClick?.() }, [mode, parentMode, onClick]) - const renderContent = () => { - if (answer) { - return ( - <> - <div className='flex gap-x-1'> - <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>Q</div> - <div - className={cn('text-text-secondary body-md-regular', - isCollapsed ? 'line-clamp-2' : 'line-clamp-20', - )}> - {content} - </div> - </div> - <div className='flex gap-x-1'> - <div className='w-4 text-[13px] font-medium leading-[20px] text-text-tertiary shrink-0'>A</div> - <div className={cn('text-text-secondary body-md-regular', - isCollapsed ? 'line-clamp-2' : 'line-clamp-20', - )}> - {answer} - </div> - </div> - </> - ) - } - return content - } - const wordCountText = useMemo(() => { const total = formatNumber(word_count) return `${total} ${t('datasetDocuments.segment.characters', { count: word_count })}` @@ -234,12 +207,15 @@ const SegmentCard: FC<ISegmentCardProps> = ({ : null} </> </div> - <div className={cn('text-text-secondary body-md-regular -tracking-[0.07px] mt-0.5', - contentOpacity, - isFullDocMode ? 'line-clamp-3' : isCollapsed ? 'line-clamp-2' : 'line-clamp-20', - )}> - {renderContent()} - </div> + <ChunkContent + detail={{ + answer, + content, + sign_content, + }} + isFullDocMode={isFullDocMode} + className={contentOpacity} + /> {isGeneralMode && <div className={cn('flex flex-wrap items-center gap-2 py-1.5', contentOpacity)}> {keywords?.map(keyword => <Tag key={keyword} text={keyword} />)} </div>} diff --git a/web/app/components/datasets/documents/detail/completed/segment-detail.tsx b/web/app/components/datasets/documents/detail/completed/segment-detail.tsx index 307a5cfb800769..8891ddee8560e1 100644 --- a/web/app/components/datasets/documents/detail/completed/segment-detail.tsx +++ b/web/app/components/datasets/documents/detail/completed/segment-detail.tsx @@ -142,9 +142,9 @@ const SegmentDetail: FC<ISegmentDetailProps> = ({ <div className={classNames( 'flex grow', fullScreen ? 'w-full flex-row justify-center px-6 pt-6 gap-x-8' : 'flex-col gap-y-1 py-3 px-4', - !isEditMode && 'pb-0', + !isEditMode && 'pb-0 overflow-hidden', )}> - <div className={classNames('break-all overflow-hidden whitespace-pre-line', fullScreen ? 'w-1/2' : 'grow')}> + <div className={classNames(isEditMode ? 'break-all whitespace-pre-line overflow-hidden' : 'overflow-y-auto', fullScreen ? 'w-1/2' : 'grow')}> <ChunkContent docForm={docForm} question={question} diff --git a/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx b/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx index 7ae5e8c4f2be55..b09e72c6f95e31 100644 --- a/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx +++ b/web/app/components/datasets/documents/detail/completed/skeleton/full-doc-list-skeleton.tsx @@ -17,7 +17,7 @@ const FullDocListSkeleton = () => { return ( <div className='w-full grow flex flex-col gap-y-3 relative z-10 overflow-y-hidden'> <div className='absolute top-0 left-0 bottom-14 w-full h-full bg-dataset-chunk-list-mask-bg z-20' /> - {[...Array(15)].map((_, index) => <Slice key={index} />)} + {[...Array.from({ length: 15 })].map((_, index) => <Slice key={index} />)} </div> ) } diff --git a/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx b/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx index c9b9c0887b5bc5..c4593083ce8f13 100644 --- a/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx +++ b/web/app/components/datasets/documents/detail/completed/skeleton/general-list-skeleton.tsx @@ -8,7 +8,7 @@ import { import Checkbox from '@/app/components/base/checkbox' import Divider from '@/app/components/base/divider' -const CardSkelton = React.memo(() => { +export const CardSkelton = React.memo(() => { return ( <SkeletonContainer className='p-1 pb-2 gap-y-0'> <SkeletonContainer className='px-2 pt-1.5 gap-y-0.5'> @@ -50,7 +50,7 @@ const GeneralListSkeleton = () => { return ( <div className='relative flex flex-col grow overflow-y-hidden z-10'> <div className='absolute top-0 left-0 w-full h-full bg-dataset-chunk-list-mask-bg z-20' /> - {[...Array(10)].map((_, index) => { + {[...Array.from({ length: 10 })].map((_, index) => { return ( <div key={index} className='flex items-start gap-x-2'> <Checkbox diff --git a/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx b/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx index 4e88d49f91da0e..eaa7126510bb17 100644 --- a/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx +++ b/web/app/components/datasets/documents/detail/completed/skeleton/paragraph-list-skeleton.tsx @@ -52,7 +52,7 @@ const ParagraphListSkeleton = () => { return ( <div className='relative flex flex-col h-full overflow-y-hidden z-10'> <div className='absolute top-0 left-0 w-full h-full bg-dataset-chunk-list-mask-bg z-20' /> - {[...Array(10)].map((_, index) => { + {[...Array.from({ length: 10 })].map((_, index) => { return ( <div key={index} className='flex items-start gap-x-2'> <Checkbox diff --git a/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx b/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx index ebf5dc19d5922c..d938c55cc45115 100644 --- a/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx +++ b/web/app/components/datasets/documents/detail/embedding/skeleton/index.tsx @@ -49,7 +49,7 @@ const EmbeddingSkeleton = () => { return ( <div className='relative flex flex-col grow overflow-y-hidden z-10'> <div className='absolute top-0 left-0 w-full h-full bg-dataset-chunk-list-mask-bg z-20' /> - {[...Array(5)].map((_, index) => { + {[...Array.from({ length: 5 })].map((_, index) => { return ( <div key={index} className='w-full px-11'> <CardSkelton /> diff --git a/web/app/components/datasets/documents/detail/metadata/index.tsx b/web/app/components/datasets/documents/detail/metadata/index.tsx index 4a5560203e28a1..da96b859bedc41 100644 --- a/web/app/components/datasets/documents/detail/metadata/index.tsx +++ b/web/app/components/datasets/documents/detail/metadata/index.tsx @@ -29,7 +29,7 @@ const map2Options = (map: { [key: string]: string }) => { return Object.keys(map).map(key => ({ value: key, name: map[key] })) } -type IFieldInfoProps = { +interface IFieldInfoProps { label: string value?: string valueIcon?: ReactNode @@ -117,7 +117,7 @@ const IconButton: FC<{ ) } -type IMetadataProps = { +interface IMetadataProps { docDetail?: FullDocumentDetail loading: boolean onUpdate: () => void diff --git a/web/app/components/datasets/documents/detail/settings/index.tsx b/web/app/components/datasets/documents/detail/settings/index.tsx index 05c52d4de898b0..6bd6aaa2657fb8 100644 --- a/web/app/components/datasets/documents/detail/settings/index.tsx +++ b/web/app/components/datasets/documents/detail/settings/index.tsx @@ -16,7 +16,7 @@ import { ModelTypeEnum } from '@/app/components/header/account-setting/model-pro import type { NotionPage } from '@/models/common' import { useDocumentDetail, useInvalidDocumentDetailKey } from '@/service/knowledge/use-document' -type DocumentSettingsProps = { +interface DocumentSettingsProps { datasetId: string documentId: string } diff --git a/web/app/components/datasets/documents/index.tsx b/web/app/components/datasets/documents/index.tsx index c9df2f28e243fc..bbd1c032148e66 100644 --- a/web/app/components/datasets/documents/index.tsx +++ b/web/app/components/datasets/documents/index.tsx @@ -73,7 +73,7 @@ const EmptyElement: FC<{ canAdd: boolean; onClick: () => void; type?: 'upload' | </div> } -type IDocumentsProps = { +interface IDocumentsProps { datasetId: string } diff --git a/web/app/components/datasets/documents/rename-modal.tsx b/web/app/components/datasets/documents/rename-modal.tsx index 883897b510b129..0b73c37207e26b 100644 --- a/web/app/components/datasets/documents/rename-modal.tsx +++ b/web/app/components/datasets/documents/rename-modal.tsx @@ -9,7 +9,7 @@ import Button from '@/app/components/base/button' import Input from '@/app/components/base/input' import { renameDocumentName } from '@/service/datasets' -type Props = { +interface Props { datasetId: string documentId: string name: string diff --git a/web/app/components/datasets/external-api/external-api-modal/Form.tsx b/web/app/components/datasets/external-api/external-api-modal/Form.tsx index ada01493fe8e43..824b5e6c9e1a1b 100644 --- a/web/app/components/datasets/external-api/external-api-modal/Form.tsx +++ b/web/app/components/datasets/external-api/external-api-modal/Form.tsx @@ -87,4 +87,6 @@ const Form: FC<FormProps> = React.memo(({ ) }) +Form.displayName = 'Form' + export default Form diff --git a/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx b/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx index fe2f2b8f36093f..463a32e4d06fb1 100644 --- a/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx +++ b/web/app/components/datasets/hit-testing/components/chunk-detail-modal.tsx @@ -12,6 +12,7 @@ import FileIcon from '@/app/components/base/file-uploader/file-type-icon' import type { FileAppearanceTypeEnum } from '@/app/components/base/file-uploader/types' import cn from '@/utils/classnames' import Tag from '@/app/components/datasets/documents/detail/completed/common/tag' +import { Markdown } from '@/app/components/base/markdown' const i18nPrefix = 'datasetHitTesting' @@ -26,7 +27,7 @@ const ChunkDetailModal: FC<Props> = ({ }) => { const { t } = useTranslation() const { segment, score, child_chunks } = payload - const { position, content, keywords, document } = segment + const { position, content, sign_content, keywords, document } = segment const isParentChildRetrieval = !!(child_chunks && child_chunks.length > 0) const extension = document.name.split('.').slice(-1)[0] as FileAppearanceTypeEnum const heighClassName = isParentChildRetrieval ? 'h-[min(627px,_80vh)] overflow-y-auto' : 'h-[min(539px,_80vh)] overflow-y-auto' @@ -56,9 +57,10 @@ const ChunkDetailModal: FC<Props> = ({ </div> <Score value={score} /> </div> - <div className={cn('mt-2 body-md-regular text-text-secondary break-all', heighClassName)}> - {content} - </div> + <Markdown + className={cn('!mt-2 !text-text-secondary', heighClassName)} + content={sign_content || content} + /> {!isParentChildRetrieval && keywords && keywords.length > 0 && ( <div className='mt-6'> <div className='font-medium text-xs text-text-tertiary uppercase'>{t(`${i18nPrefix}.keyword`)}</div> diff --git a/web/app/components/datasets/hit-testing/components/result-item.tsx b/web/app/components/datasets/hit-testing/components/result-item.tsx index 16bc40f67c004e..12cbceff9c3dd2 100644 --- a/web/app/components/datasets/hit-testing/components/result-item.tsx +++ b/web/app/components/datasets/hit-testing/components/result-item.tsx @@ -13,6 +13,7 @@ import cn from '@/utils/classnames' import type { FileAppearanceTypeEnum } from '@/app/components/base/file-uploader/types' import Tag from '@/app/components/datasets/documents/detail/completed/common/tag' import { extensionToFileType } from '@/app/components/datasets/hit-testing/utils/extension-to-file-type' +import { Markdown } from '@/app/components/base/markdown' const i18nPrefix = 'datasetHitTesting' type Props = { @@ -25,7 +26,7 @@ const ResultItem: FC<Props> = ({ const { t } = useTranslation() const { segment, score, child_chunks } = payload const data = segment - const { position, word_count, content, keywords, document } = data + const { position, word_count, content, sign_content, keywords, document } = data const isParentChildRetrieval = !!(child_chunks && child_chunks.length > 0) const extension = document.name.split('.').slice(-1)[0] as FileAppearanceTypeEnum const fileType = extensionToFileType(extension) @@ -46,10 +47,16 @@ const ResultItem: FC<Props> = ({ {/* Main */} <div className='mt-1 px-3'> - <div className='line-clamp-2 body-md-regular break-all'>{content}</div> + <Markdown className='line-clamp-2' content={sign_content || content} /> {isParentChildRetrieval && ( <div className='mt-1'> - <div className={cn('inline-flex items-center h-6 space-x-0.5 text-text-secondary select-none rounded-lg cursor-pointer', isFold && 'pl-1 bg-[linear-gradient(90deg,_rgba(200,_206,_218,_0.20)_0%,_rgba(200,_206,_218,_0.04)_100%)]')} onClick={toggleFold}> + <div + className={cn('inline-flex items-center h-6 space-x-0.5 text-text-secondary select-none rounded-lg cursor-pointer', isFold && 'pl-1 bg-[linear-gradient(90deg,_rgba(200,_206,_218,_0.20)_0%,_rgba(200,_206,_218,_0.04)_100%)]')} + onClick={(e) => { + e.stopPropagation() + toggleFold() + }} + > <Icon className={cn('w-4 h-4', isFold && 'opacity-50')} /> <div className='text-xs font-semibold uppercase'>{t(`${i18nPrefix}.hitChunks`, { num: child_chunks.length })}</div> </div> diff --git a/web/app/components/datasets/hit-testing/index.tsx b/web/app/components/datasets/hit-testing/index.tsx index 33f2acc65b42d0..983b700b5a2e2a 100644 --- a/web/app/components/datasets/hit-testing/index.tsx +++ b/web/app/components/datasets/hit-testing/index.tsx @@ -7,7 +7,6 @@ import { omit } from 'lodash-es' import { useBoolean } from 'ahooks' import { useContext } from 'use-context-selector' import { RiApps2Line, RiFocus2Line } from '@remixicon/react' -import SegmentCard from '../documents/detail/completed/SegmentCard' import Textarea from './textarea' import s from './style.module.css' import ModifyRetrievalModal from './modify-retrieval-modal' @@ -25,6 +24,7 @@ import type { RetrievalConfig } from '@/types/app' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import useTimestamp from '@/hooks/use-timestamp' import docStyle from '@/app/components/datasets/documents/detail/completed/style.module.css' +import { CardSkelton } from '../documents/detail/completed/skeleton/general-list-skeleton' const limit = 10 @@ -180,11 +180,9 @@ const HitTestingPage: FC<Props> = ({ datasetId }: Props) => { <div className='flex flex-col pt-3'> {/* {renderHitResults(generalResultData)} */} {submitLoading - ? <SegmentCard - loading={true} - scene='hitTesting' - className='h-[216px]' - /> + ? <div className='h-full flex flex-col py-3 px-4 rounded-t-2xl bg-background-body'> + <CardSkelton /> + </div> : ( (() => { if (!hitResult?.records.length && !externalHitResult?.records.length) diff --git a/web/app/components/datasets/hit-testing/textarea.tsx b/web/app/components/datasets/hit-testing/textarea.tsx index 43366754feb409..c497335c70bbce 100644 --- a/web/app/components/datasets/hit-testing/textarea.tsx +++ b/web/app/components/datasets/hit-testing/textarea.tsx @@ -15,7 +15,7 @@ import { asyncRunSafe } from '@/utils' import { RETRIEVE_METHOD, type RetrievalConfig } from '@/types/app' import promptS from '@/app/components/app/configuration/config-prompt/style.module.css' -type TextAreaWithButtonIProps = { +interface TextAreaWithButtonIProps { datasetId: string onUpdateList: () => void setHitResult: (res: HitTestingResponse) => void diff --git a/web/app/components/datasets/rename-modal/index.tsx b/web/app/components/datasets/rename-modal/index.tsx index e93862f63dc169..22c7f8e98892c1 100644 --- a/web/app/components/datasets/rename-modal/index.tsx +++ b/web/app/components/datasets/rename-modal/index.tsx @@ -14,7 +14,7 @@ import { ToastContext } from '@/app/components/base/toast' import type { DataSet } from '@/models/datasets' import { updateDatasetSetting } from '@/service/datasets' -type RenameDatasetModalProps = { +interface RenameDatasetModalProps { show: boolean dataset: DataSet onSuccess?: () => void diff --git a/web/app/components/datasets/settings/form/index.tsx b/web/app/components/datasets/settings/form/index.tsx index c25c9827a76eac..7d80112cc16846 100644 --- a/web/app/components/datasets/settings/form/index.tsx +++ b/web/app/components/datasets/settings/form/index.tsx @@ -19,7 +19,7 @@ import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/d import { updateDatasetSetting } from '@/service/datasets' import { type DataSetListResponse, DatasetPermission } from '@/models/datasets' import DatasetDetailContext from '@/context/dataset-detail' -import { type RetrievalConfig } from '@/types/app' +import type { RetrievalConfig } from '@/types/app' import { useAppContext } from '@/context/app-context' import { isReRankModelSelected } from '@/app/components/datasets/common/check-rerank-model' import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector' diff --git a/web/app/components/datasets/settings/permission-selector/index.tsx b/web/app/components/datasets/settings/permission-selector/index.tsx index 62ec947f12ee44..883373ef11cfe3 100644 --- a/web/app/components/datasets/settings/permission-selector/index.tsx +++ b/web/app/components/datasets/settings/permission-selector/index.tsx @@ -88,8 +88,8 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange, <div className='mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#EEF4FF]'> <Users01 className='w-3.5 h-3.5 text-[#444CE7]' /> </div> - <div className='grow mr-2 text-gray-900 text-sm leading-5'>{t('datasetSettings.form.permissionsAllMember')}</div> - {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-gray-700' />} + <div className='grow mr-2 text-text-primary text-sm leading-5'>{t('datasetSettings.form.permissionsAllMember')}</div> + {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-text-secondary' />} </div> )} {isPartialMembers && ( @@ -97,13 +97,13 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange, <div className='mr-2 flex items-center justify-center w-6 h-6 rounded-lg bg-[#EEF4FF]'> <Users01 className='w-3.5 h-3.5 text-[#444CE7]' /> </div> - <div title={selectedMembers} className='grow mr-2 text-gray-900 text-sm leading-5 truncate'>{selectedMembers}</div> - {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-gray-700' />} + <div title={selectedMembers} className='grow mr-2 text-text-primary text-sm leading-5 truncate'>{selectedMembers}</div> + {!disabled && <RiArrowDownSLine className='shrink-0 w-4 h-4 text-text-secondary' />} </div> )} </PortalToFollowElemTrigger> <PortalToFollowElemContent className='z-[1002]'> - <div className='relative w-[480px] rounded-lg border-[0.5px] bg-white shadow-lg'> + <div className='relative w-[480px] rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg-blur backdrop-blur-sm shadow-lg'> <div className='p-1'> <div className='pl-3 pr-2 py-1 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => { onChange(DatasetPermission.onlyMe) @@ -155,23 +155,23 @@ const PermissionSelector = ({ disabled, permission, value, memberList, onChange, <div className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg'> <Avatar avatar={userProfile.avatar_url} name={userProfile.name} className='shrink-0' size={24} /> <div className='grow'> - <div className='text-[13px] text-gray-700 font-medium leading-[18px] truncate'> + <div className='text-[13px] text-text-secondary font-medium leading-[18px] truncate'> {userProfile.name} - <span className='text-xs text-gray-500 font-normal'>{t('datasetSettings.form.me')}</span> + <span className='text-xs text-text-tertiary font-normal'>{t('datasetSettings.form.me')}</span> </div> - <div className='text-xs text-gray-500 leading-[18px] truncate'>{userProfile.email}</div> + <div className='text-xs text-text-tertiary leading-[18px] truncate'>{userProfile.email}</div> </div> - <Check className='shrink-0 w-4 h-4 text-primary-600 opacity-30' /> + <Check className='shrink-0 w-4 h-4 text-text-accent opacity-30' /> </div> )} {filteredMemberList.map(member => ( - <div key={member.id} className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg hover:bg-gray-100 cursor-pointer' onClick={() => selectMember(member)}> + <div key={member.id} className='pl-3 pr-[10px] py-1 flex gap-2 items-center rounded-lg hover:bg-state-base-hover cursor-pointer' onClick={() => selectMember(member)}> <Avatar avatar={userProfile.avatar_url} name={member.name} className='shrink-0' size={24} /> <div className='grow'> - <div className='text-[13px] text-gray-700 font-medium leading-[18px] truncate'>{member.name}</div> - <div className='text-xs text-gray-500 leading-[18px] truncate'>{member.email}</div> + <div className='text-[13px] text-text-secondary font-medium leading-[18px] truncate'>{member.name}</div> + <div className='text-xs text-text-tertiary leading-[18px] truncate'>{member.email}</div> </div> - {value.includes(member.id) && <Check className='shrink-0 w-4 h-4 text-primary-600' />} + {value.includes(member.id) && <Check className='shrink-0 w-4 h-4 text-text-accent' />} </div> ))} </div> diff --git a/web/app/components/develop/md.tsx b/web/app/components/develop/md.tsx index c75798fcfe055a..643e7bdea5e357 100644 --- a/web/app/components/develop/md.tsx +++ b/web/app/components/develop/md.tsx @@ -56,7 +56,7 @@ export const Heading = function H2({ export function Row({ children }: IChildrenProps) { return ( - <div className="grid items-start grid-cols-1 gap-x-16 gap-y-10 xl:max-w-none xl:grid-cols-2"> + <div className="grid items-start grid-cols-1 gap-x-16 gap-y-10 xl:!max-w-none xl:grid-cols-2"> {children} </div> ) diff --git a/web/app/components/develop/secret-key/input-copy.tsx b/web/app/components/develop/secret-key/input-copy.tsx index d31077919e6fd0..cab0d5fc66d419 100644 --- a/web/app/components/develop/secret-key/input-copy.tsx +++ b/web/app/components/develop/secret-key/input-copy.tsx @@ -33,10 +33,10 @@ const InputCopy = ({ }, [isCopied]) return ( - <div className={`flex rounded-lg bg-gray-50 hover:bg-gray-50 py-2 items-center ${className}`}> - <div className="flex items-center flex-grow h-5"> + <div className={`flex rounded-lg bg-components-input-bg-normal hover:bg-state-base-hover py-2 items-center ${className}`}> + <div className="flex items-center grow h-5"> {children} - <div className='flex-grow bg-gray-50 text-[13px] relative h-full'> + <div className='grow text-[13px] relative h-full'> <div className='absolute top-0 left-0 w-full pl-2 pr-2 truncate cursor-pointer r-0' onClick={() => { copy(value) setIsCopied(true) @@ -49,13 +49,13 @@ const InputCopy = ({ </Tooltip> </div> </div> - <div className="flex-shrink-0 h-4 bg-gray-200 border" /> + <div className="shrink-0 h-4 bg-divider-regular border" /> <Tooltip popupContent={isCopied ? `${t('appApi.copied')}` : `${t('appApi.copy')}`} position='bottom' > - <div className="px-0.5 flex-shrink-0"> - <div className={`box-border w-[30px] h-[30px] flex items-center justify-center rounded-lg hover:bg-gray-100 cursor-pointer ${s.copyIcon} ${isCopied ? s.copied : ''}`} onClick={() => { + <div className="px-0.5 shrink-0"> + <div className={`box-border w-[30px] h-[30px] flex items-center justify-center rounded-lg hover:bg-state-base-hover cursor-pointer ${s.copyIcon} ${isCopied ? s.copied : ''}`} onClick={() => { copy(value) setIsCopied(true) }}> diff --git a/web/app/components/develop/secret-key/secret-key-generate.tsx b/web/app/components/develop/secret-key/secret-key-generate.tsx index 14b862f68a914a..07cdf11c48e9d0 100644 --- a/web/app/components/develop/secret-key/secret-key-generate.tsx +++ b/web/app/components/develop/secret-key/secret-key-generate.tsx @@ -23,14 +23,14 @@ const SecretKeyGenerateModal = ({ const { t } = useTranslation() return ( <Modal isShow={isShow} onClose={onClose} title={`${t('appApi.apiKeyModal.apiSecretKey')}`} className={`px-8 ${className}`}> - <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-gray-500 ${s.close}`} onClick={onClose} /> - <p className='mt-1 text-[13px] text-gray-500 font-normal leading-5'>{t('appApi.apiKeyModal.generateTips')}</p> + <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-text-tertiary ${s.close}`} onClick={onClose} /> + <p className='mt-1 text-[13px] text-text-tertiary font-normal leading-5'>{t('appApi.apiKeyModal.generateTips')}</p> <div className='my-4'> <InputCopy className='w-full' value={newKey?.token} /> </div> <div className='flex justify-end my-4'> - <Button className={`flex-shrink-0 ${s.w64}`} onClick={onClose}> - <span className='text-xs font-medium text-gray-800'>{t('appApi.actionMsg.ok')}</span> + <Button className={`shrink-0 ${s.w64}`} onClick={onClose}> + <span className='text-xs font-medium text-text-secondary'>{t('appApi.actionMsg.ok')}</span> </Button> </div> diff --git a/web/app/components/develop/secret-key/secret-key-modal.tsx b/web/app/components/develop/secret-key/secret-key-modal.tsx index dbb5cc37c724e3..54b833edef6046 100644 --- a/web/app/components/develop/secret-key/secret-key-modal.tsx +++ b/web/app/components/develop/secret-key/secret-key-modal.tsx @@ -98,37 +98,37 @@ const SecretKeyModal = ({ return ( <Modal isShow={isShow} onClose={onClose} title={`${t('appApi.apiKeyModal.apiSecretKey')}`} className={`${s.customModal} px-8 flex flex-col`}> - <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-gray-500 ${s.close}`} onClick={onClose} /> - <p className='mt-1 text-[13px] text-gray-500 font-normal leading-5 flex-shrink-0'>{t('appApi.apiKeyModal.apiSecretKeyTips')}</p> + <XMarkIcon className={`w-6 h-6 absolute cursor-pointer text-text-tertiary ${s.close}`} onClick={onClose} /> + <p className='mt-1 text-[13px] text-text-tertiary font-normal leading-5 shrink-0'>{t('appApi.apiKeyModal.apiSecretKeyTips')}</p> {!apiKeysList && <div className='mt-4'><Loading /></div>} { !!apiKeysList?.data?.length && ( - <div className='flex flex-col flex-grow mt-4 overflow-hidden'> - <div className='flex items-center flex-shrink-0 text-xs font-semibold text-gray-500 border-b border-solid h-9'> - <div className='flex-shrink-0 w-64 px-3'>{t('appApi.apiKeyModal.secretKey')}</div> - <div className='flex-shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.created')}</div> - <div className='flex-shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.lastUsed')}</div> - <div className='flex-grow px-3'></div> + <div className='flex flex-col grow mt-4 overflow-hidden'> + <div className='flex items-center shrink-0 text-xs font-semibold text-text-tertiary border-b border-solid h-9'> + <div className='shrink-0 w-64 px-3'>{t('appApi.apiKeyModal.secretKey')}</div> + <div className='shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.created')}</div> + <div className='shrink-0 px-3 w-[200px]'>{t('appApi.apiKeyModal.lastUsed')}</div> + <div className='grow px-3'></div> </div> - <div className='flex-grow overflow-auto'> + <div className='grow overflow-auto'> {apiKeysList.data.map(api => ( - <div className='flex items-center text-sm font-normal text-gray-700 border-b border-solid h-9' key={api.id}> - <div className='flex-shrink-0 w-64 px-3 font-mono truncate'>{generateToken(api.token)}</div> - <div className='flex-shrink-0 px-3 truncate w-[200px]'>{formatTime(Number(api.created_at), t('appLog.dateTimeFormat') as string)}</div> - <div className='flex-shrink-0 px-3 truncate w-[200px]'>{api.last_used_at ? formatTime(Number(api.last_used_at), t('appLog.dateTimeFormat') as string) : t('appApi.never')}</div> - <div className='flex flex-grow px-3'> + <div className='flex items-center text-sm font-normal text-text-secondary border-b border-solid h-9' key={api.id}> + <div className='shrink-0 w-64 px-3 font-mono truncate'>{generateToken(api.token)}</div> + <div className='shrink-0 px-3 truncate w-[200px]'>{formatTime(Number(api.created_at), t('appLog.dateTimeFormat') as string)}</div> + <div className='shrink-0 px-3 truncate w-[200px]'>{api.last_used_at ? formatTime(Number(api.last_used_at), t('appLog.dateTimeFormat') as string) : t('appApi.never')}</div> + <div className='flex grow px-3'> <Tooltip popupContent={copyValue === api.token ? `${t('appApi.copied')}` : `${t('appApi.copy')}`} popupClassName='mr-1' > - <div className={`flex items-center justify-center flex-shrink-0 w-6 h-6 mr-1 rounded-lg cursor-pointer hover:bg-gray-100 ${s.copyIcon} ${copyValue === api.token ? s.copied : ''}`} onClick={() => { + <div className={`flex items-center justify-center shrink-0 w-6 h-6 mr-1 rounded-lg cursor-pointer hover:bg-state-base-hover ${s.copyIcon} ${copyValue === api.token ? s.copied : ''}`} onClick={() => { // setIsCopied(true) copy(api.token) setCopyValue(api.token) }}></div> </Tooltip> {isCurrentWorkspaceManager - && <div className={`flex items-center justify-center flex-shrink-0 w-6 h-6 rounded-lg cursor-pointer ${s.trashIcon}`} onClick={() => { + && <div className={`flex items-center justify-center shrink-0 w-6 h-6 rounded-lg cursor-pointer ${s.trashIcon}`} onClick={() => { setDelKeyId(api.id) setShowConfirmDelete(true) }}> @@ -142,12 +142,12 @@ const SecretKeyModal = ({ ) } <div className='flex'> - <Button className={`flex flex-shrink-0 mt-4 ${s.autoWidth}`} onClick={onCreate} disabled={!currentWorkspace || !isCurrentWorkspaceEditor}> - <PlusIcon className='flex flex-shrink-0 w-4 h-4' /> - <div className='text-xs font-medium text-gray-800'>{t('appApi.apiKeyModal.createNewSecretKey')}</div> + <Button className={`flex shrink-0 mt-4 ${s.autoWidth}`} onClick={onCreate} disabled={!currentWorkspace || !isCurrentWorkspaceEditor}> + <PlusIcon className='flex shrink-0 w-4 h-4 mr-1' /> + <div className='text-xs font-medium text-text-secondary'>{t('appApi.apiKeyModal.createNewSecretKey')}</div> </Button> </div> - <SecretKeyGenerateModal className='flex-shrink-0' isShow={isVisible} onClose={() => setVisible(false)} newKey={newKey} /> + <SecretKeyGenerateModal className='shrink-0' isShow={isVisible} onClose={() => setVisible(false)} newKey={newKey} /> {showConfirmDelete && ( <Confirm title={`${t('appApi.actionMsg.deleteConfirmTitle')}`} diff --git a/web/app/components/explore/app-list/index.tsx b/web/app/components/explore/app-list/index.tsx index b8e7939328ce30..458aadcb61364d 100644 --- a/web/app/components/explore/app-list/index.tsx +++ b/web/app/components/explore/app-list/index.tsx @@ -25,6 +25,7 @@ import { useAppContext } from '@/context/app-context' import { getRedirection } from '@/utils/app-redirection' import Input from '@/app/components/base/input' import { DSLImportMode } from '@/models/app' +import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks' type AppsProps = { pageType?: PageType @@ -117,6 +118,7 @@ const Apps = ({ const [currApp, setCurrApp] = React.useState<App | null>(null) const [isShowCreateModal, setIsShowCreateModal] = React.useState(false) + const { handleCheckPluginDependencies } = usePluginDependencies() const onCreate: CreateAppModalProps['onConfirm'] = async ({ name, icon_type, @@ -144,6 +146,8 @@ const Apps = ({ }) if (onSuccess) onSuccess() + if (app.app_id) + await handleCheckPluginDependencies(app.app_id) localStorage.setItem(NEED_REFRESH_APP_LIST_KEY, '1') getRedirection(isCurrentWorkspaceEditor, { id: app.app_id }, push) } diff --git a/web/app/components/explore/create-app-modal/index.tsx b/web/app/components/explore/create-app-modal/index.tsx index 45baf773f83a87..152f3b9282467b 100644 --- a/web/app/components/explore/create-app-modal/index.tsx +++ b/web/app/components/explore/create-app-modal/index.tsx @@ -14,7 +14,7 @@ import { useProviderContext } from '@/context/provider-context' import AppsFull from '@/app/components/billing/apps-full-in-dialog' import type { AppIconType } from '@/types/app' -export type CreateAppModalProps = { +export interface CreateAppModalProps { show: boolean isEditModal?: boolean appName: string diff --git a/web/app/components/header/account-dropdown/index.tsx b/web/app/components/header/account-dropdown/index.tsx index d9065f314131bb..f1760583327be5 100644 --- a/web/app/components/header/account-dropdown/index.tsx +++ b/web/app/components/header/account-dropdown/index.tsx @@ -9,7 +9,6 @@ import { Menu, Transition } from '@headlessui/react' import Indicator from '../indicator' import AccountAbout from '../account-about' import { mailToSupport } from '../utils/util' -import WorkplaceSelector from './workplace-selector' import classNames from '@/utils/classnames' import I18n from '@/context/i18n' import Avatar from '@/app/components/base/avatar' @@ -99,10 +98,6 @@ export default function AppSelector({ isMobile }: IAppSelector) { </div> </div> </Menu.Item> - <div className='px-1 py-1'> - <div className='mt-2 px-3 text-xs font-medium text-text-tertiary'>{t('common.userProfile.workspace')}</div> - <WorkplaceSelector /> - </div> <div className="px-1 py-1"> <Menu.Item> {({ active }) => <Link diff --git a/web/app/components/header/account-dropdown/workplace-selector/index.tsx b/web/app/components/header/account-dropdown/workplace-selector/index.tsx index bcc72a7bb3c133..f8bde33d51d317 100644 --- a/web/app/components/header/account-dropdown/workplace-selector/index.tsx +++ b/web/app/components/header/account-dropdown/workplace-selector/index.tsx @@ -2,34 +2,21 @@ import { Fragment } from 'react' import { useContext } from 'use-context-selector' import { useTranslation } from 'react-i18next' import { Menu, Transition } from '@headlessui/react' -import s from './index.module.css' +import { RiArrowDownSLine } from '@remixicon/react' import cn from '@/utils/classnames' import { switchWorkspace } from '@/service/common' import { useWorkspacesContext } from '@/context/workspace-context' -import { ChevronRight } from '@/app/components/base/icons/src/vender/line/arrows' -import { Check } from '@/app/components/base/icons/src/vender/line/general' +import { useProviderContext } from '@/context/provider-context' import { ToastContext } from '@/app/components/base/toast' -import classNames from '@/utils/classnames' - -const itemClassName = ` - flex items-center px-3 py-2 h-10 cursor-pointer -` -const itemIconClassName = ` - shrink-0 mr-2 flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-primary-600 -` -const itemNameClassName = ` - grow mr-2 text-sm text-gray-700 text-left -` -const itemCheckClassName = ` - shrink-0 w-4 h-4 text-primary-600 -` +import PremiumBadge from '@/app/components/base/premium-badge' const WorkplaceSelector = () => { const { t } = useTranslation() + const { plan } = useProviderContext() const { notify } = useContext(ToastContext) const { workspaces } = useWorkspacesContext() const currentWorkspace = workspaces.find(v => v.current) - + const isFreePlan = plan.type === 'sandbox' const handleSwitchWorkspace = async (tenant_id: string) => { try { if (currentWorkspace?.id === tenant_id) @@ -50,13 +37,15 @@ const WorkplaceSelector = () => { <> <Menu.Button className={cn( ` - ${itemClassName} w-full - group hover:bg-state-base-hover cursor-pointer ${open && 'bg-state-base-hover'} rounded-lg + flex items-center p-0.5 gap-1.5 w-full + group hover:bg-state-base-hover cursor-pointer ${open && 'bg-state-base-hover'} rounded-[10px] `, )}> - <div className={itemIconClassName}>{currentWorkspace?.name[0].toLocaleUpperCase()}</div> - <div className={`${itemNameClassName} truncate`}>{currentWorkspace?.name}</div> - <ChevronRight className='shrink-0 w-[14px] h-[14px] text-gray-500' /> + <div className='flex items-center justify-center w-7 h-7 bg-[#EFF4FF] rounded-lg text-xs font-medium text-primary-600'>{currentWorkspace?.name[0].toLocaleUpperCase()}</div> + <div className='flex flex-row'> + <div className={'truncate max-w-[80px] text-text-secondary system-sm-medium'}>{currentWorkspace?.name}</div> + <RiArrowDownSLine className='w-4 h-4 text-text-secondary' /> + </div> </Menu.Button> <Transition as={Fragment} @@ -70,25 +59,29 @@ const WorkplaceSelector = () => { <Menu.Items className={cn( ` - absolute top-[1px] min-w-[200px] max-h-[70vh] overflow-y-scroll z-10 bg-white border-[0.5px] border-gray-200 - divide-y divide-gray-100 origin-top-right rounded-xl focus:outline-none + flex w-[280px] flex-col items-start absolute left-[-15px] mt-1 rounded-xl shadows-shadow-lg `, - s.popup, )} > - <div className="px-1 py-1"> + <div className="flex flex-col p-1 pb-2 items-start self-stretch w-full rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-lg "> + <div className='flex px-3 pt-1 pb-0.5 items-start self-stretch'> + <span className='flex-1 text-text-tertiary system-xs-medium-uppercase'>{t('common.userProfile.workspace')}</span> + </div> { workspaces.map(workspace => ( - <Menu.Item key={workspace.id}> - {({ active }) => <div className={classNames(itemClassName, - active && 'bg-state-base-hover', - )} key={workspace.id} onClick={() => handleSwitchWorkspace(workspace.id)}> - <div className={itemIconClassName}>{workspace.name[0].toLocaleUpperCase()}</div> - <div className={itemNameClassName}>{workspace.name}</div> - {workspace.current && <Check className={itemCheckClassName} />} - </div>} - - </Menu.Item> + <div className='flex py-1 pl-3 pr-2 items-center gap-2 self-stretch hover:bg-state-base-hover rounded-lg' key={workspace.id} onClick={() => handleSwitchWorkspace(workspace.id)}> + <div className='flex items-center justify-center w-6 h-6 bg-[#EFF4FF] rounded-md text-xs font-medium text-primary-600'>{workspace.name[0].toLocaleUpperCase()}</div> + <div className='line-clamp-1 grow overflow-hidden text-text-secondary text-ellipsis system-md-regular cursor-pointer'>{workspace.name}</div> + { + <PremiumBadge size='s' color='gray' allowHover={false}> + <div className='system-2xs-medium'> + <span className='p-[2px]'> + {plan.type === 'professional' ? 'PRO' : plan.type.toUpperCase()} + </span> + </div> + </PremiumBadge> + } + </div> )) } </div> diff --git a/web/app/components/header/account-setting/api-based-extension-page/modal.tsx b/web/app/components/header/account-setting/api-based-extension-page/modal.tsx index 23a04f54b58ca9..ebe538638820a6 100644 --- a/web/app/components/header/account-setting/api-based-extension-page/modal.tsx +++ b/web/app/components/header/account-setting/api-based-extension-page/modal.tsx @@ -77,7 +77,7 @@ const ApiBasedExtensionModal: FC<ApiBasedExtensionModalProps> = ({ onClose={() => { }} className='!p-8 !pb-6 !max-w-none !w-[640px]' > - <div className='mb-2 text-xl font-semibold text-gray-900'> + <div className='mb-2 text-xl font-semibold text-text-primary'> { data.name ? t('common.apiBasedExtension.modal.editTitle') @@ -85,44 +85,44 @@ const ApiBasedExtensionModal: FC<ApiBasedExtensionModalProps> = ({ } </div> <div className='py-2'> - <div className='leading-9 text-sm font-medium text-gray-900'> + <div className='leading-9 text-sm font-medium text-text-primary'> {t('common.apiBasedExtension.modal.name.title')} </div> <input value={localeData.name || ''} onChange={e => handleDataChange('name', e.target.value)} - className='block px-3 w-full h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none' + className='block px-3 w-full h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none' placeholder={t('common.apiBasedExtension.modal.name.placeholder') || ''} /> </div> <div className='py-2'> - <div className='flex justify-between items-center h-9 text-sm font-medium text-gray-900'> + <div className='flex justify-between items-center h-9 text-sm font-medium text-text-primary'> {t('common.apiBasedExtension.modal.apiEndpoint.title')} <a href={t('common.apiBasedExtension.linkUrl') || '/'} target='_blank' rel='noopener noreferrer' - className='group flex items-center text-xs text-gray-500 font-normal hover:text-primary-600' + className='group flex items-center text-xs text-text-tertiary font-normal hover:text-text-accent' > - <BookOpen01 className='mr-1 w-3 h-3 text-gray-500 group-hover:text-primary-600' /> + <BookOpen01 className='mr-1 w-3 h-3 text-text-tertiary group-hover:text-text-accent' /> {t('common.apiBasedExtension.link')} </a> </div> <input value={localeData.api_endpoint || ''} onChange={e => handleDataChange('api_endpoint', e.target.value)} - className='block px-3 w-full h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none' + className='block px-3 w-full h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none' placeholder={t('common.apiBasedExtension.modal.apiEndpoint.placeholder') || ''} /> </div> <div className='py-2'> - <div className='leading-9 text-sm font-medium text-gray-900'> + <div className='leading-9 text-sm font-medium text-text-primary'> {t('common.apiBasedExtension.modal.apiKey.title')} </div> <div className='flex items-center'> <input value={localeData.api_key || ''} onChange={e => handleDataChange('api_key', e.target.value)} - className='block grow mr-2 px-3 h-9 bg-gray-100 rounded-lg text-sm text-gray-900 outline-none appearance-none' + className='block grow mr-2 px-3 h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-primary outline-none appearance-none' placeholder={t('common.apiBasedExtension.modal.apiKey.placeholder') || ''} /> </div> diff --git a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx index fb1b22df3450a6..9c67f92a8da022 100644 --- a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx +++ b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx @@ -54,33 +54,33 @@ const ApiBasedExtensionSelector: FC<ApiBasedExtensionSelectorProps> = ({ { currentItem ? ( - <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-gray-100 rounded-lg cursor-pointer'> - <div className='text-sm text-gray-900'>{currentItem.name}</div> + <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-components-input-bg-normal rounded-lg cursor-pointer'> + <div className='text-sm text-text-primary'>{currentItem.name}</div> <div className='flex items-center'> - <div className='mr-1.5 w-[270px] text-xs text-gray-400 truncate text-right'> + <div className='mr-1.5 w-[270px] text-xs text-text-quaternary truncate text-right'> {currentItem.api_endpoint} </div> - <RiArrowDownSLine className={`w-4 h-4 text-gray-700 ${!open && 'opacity-60'}`} /> + <RiArrowDownSLine className={`w-4 h-4 text-text-secondary ${!open && 'opacity-60'}`} /> </div> </div> ) : ( - <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-gray-100 rounded-lg text-sm text-gray-400 cursor-pointer'> + <div className='flex items-center justify-between pl-3 pr-2.5 h-9 bg-components-input-bg-normal rounded-lg text-sm text-text-quaternary cursor-pointer'> {t('common.apiBasedExtension.selector.placeholder')} - <RiArrowDownSLine className={`w-4 h-4 text-gray-700 ${!open && 'opacity-60'}`} /> + <RiArrowDownSLine className={`w-4 h-4 text-text-secondary ${!open && 'opacity-60'}`} /> </div> ) } </PortalToFollowElemTrigger> <PortalToFollowElemContent className='w-[calc(100%-32px)] max-w-[576px] z-[102]'> - <div className='w-full rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg z-10'> + <div className='w-full rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg z-10'> <div className='p-1'> <div className='flex items-center justify-between px-3 pt-2 pb-1'> - <div className='text-xs font-medium text-gray-500'> + <div className='text-xs font-medium text-text-tertiary'> {t('common.apiBasedExtension.selector.title')} </div> <div - className='flex items-center text-xs text-primary-600 cursor-pointer' + className='flex items-center text-xs text-text-accent cursor-pointer' onClick={() => { setOpen(false) setShowAccountSettingModal({ payload: 'api-based-extension' }) @@ -95,20 +95,20 @@ const ApiBasedExtensionSelector: FC<ApiBasedExtensionSelectorProps> = ({ data?.map(item => ( <div key={item.id} - className='px-3 py-1.5 w-full cursor-pointer hover:bg-gray-50 rounded-md text-left' + className='px-3 py-1.5 w-full cursor-pointer hover:stroke-state-base-hover rounded-md text-left' onClick={() => handleSelect(item.id!)} > - <div className='text-sm text-gray-900'>{item.name}</div> - <div className='text-xs text-gray-500'>{item.api_endpoint}</div> + <div className='text-sm text-text-primary'>{item.name}</div> + <div className='text-xs text-text-tertiary'>{item.api_endpoint}</div> </div> )) } </div> </div> - <div className='h-[1px] bg-gray-100' /> + <div className='h-[1px] bg-divider-regular' /> <div className='p-1'> <div - className='flex items-center px-3 h-8 text-sm text-primary-600 cursor-pointer' + className='flex items-center px-3 h-8 text-sm text-text-accent cursor-pointer' onClick={() => { setOpen(false) setShowApiBasedExtensionModal({ payload: {}, onSaveCallback: () => mutate() }) diff --git a/web/app/components/header/account-setting/index.module.css b/web/app/components/header/account-setting/index.module.css deleted file mode 100644 index bb855e1c86483e..00000000000000 --- a/web/app/components/header/account-setting/index.module.css +++ /dev/null @@ -1,8 +0,0 @@ -.modal { - max-width: 1024px !important; - border-radius: 12px !important; - margin-top: 60px; - margin-bottom: 60px; - padding: 0 !important; - overflow-y: auto; -} \ No newline at end of file diff --git a/web/app/components/header/account-setting/index.tsx b/web/app/components/header/account-setting/index.tsx index 4be7ec6ab7ee6f..b3409c226a1896 100644 --- a/web/app/components/header/account-setting/index.tsx +++ b/web/app/components/header/account-setting/index.tsx @@ -2,8 +2,8 @@ import { useTranslation } from 'react-i18next' import { useEffect, useRef, useState } from 'react' import { - RiBox3Fill, - RiBox3Line, + RiBrain2Fill, + RiBrain2Line, RiCloseLine, RiColorFilterFill, RiColorFilterLine, @@ -17,26 +17,23 @@ import { RiPuzzle2Line, RiTranslate2, } from '@remixicon/react' +import Button from '../../base/button' import MembersPage from './members-page' import LanguagePage from './language-page' import ApiBasedExtensionPage from './api-based-extension-page' import DataSourcePage from './data-source-page' import ModelProviderPage from './model-provider-page' -import s from './index.module.css' import cn from '@/utils/classnames' import BillingPage from '@/app/components/billing/billing-page' import CustomPage from '@/app/components/custom/custom-page' -import Modal from '@/app/components/base/modal' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import { useProviderContext } from '@/context/provider-context' import { useAppContext } from '@/context/app-context' +import MenuDialog from '@/app/components/header/account-setting/menu-dialog' +import Input from '@/app/components/base/input' const iconClassName = ` - w-4 h-4 ml-3 mr-2 -` - -const scrolledClassName = ` - border-b shadow-xs bg-white/[.98] + w-5 h-5 mr-2 ` type IAccountSettingProps = { @@ -68,8 +65,8 @@ export default function AccountSetting({ { key: 'provider', name: t('common.settings.provider'), - icon: <RiBox3Line className={iconClassName} />, - activeIcon: <RiBox3Fill className={iconClassName} />, + icon: <RiBrain2Line className={iconClassName} />, + activeIcon: <RiBrain2Fill className={iconClassName} />, }, { key: 'members', @@ -117,7 +114,7 @@ export default function AccountSetting({ }, { key: 'account-group', - name: t('common.settings.accountGroup'), + name: t('common.settings.generalGroup'), items: [ { key: 'language', @@ -144,32 +141,31 @@ export default function AccountSetting({ const activeItem = [...menuItems[0].items, ...menuItems[1].items].find(item => item.key === activeMenu) + const [searchValue, setSearchValue] = useState<string>('') + return ( - <Modal - isShow - onClose={() => { }} - className={s.modal} - wrapperClassName='pt-[60px]' + <MenuDialog + show + onClose={onCancel} > - <div className='flex'> - <div className='w-[44px] sm:w-[200px] px-[1px] py-4 sm:p-4 border border-divider-burn shrink-0 sm:shrink-1 flex flex-col items-center sm:items-start'> - <div className='mb-8 ml-0 sm:ml-2 sm:text-base title-2xl-semi-bold text-text-primary'>{t('common.userProfile.settings')}</div> + <div className='mx-auto max-w-[1048px] h-[100vh] flex'> + <div className='w-[44px] sm:w-[224px] pl-4 pr-6 border-r border-divider-burn flex flex-col'> + <div className='mt-6 mb-8 px-3 py-2 text-text-primary title-2xl-semi-bold'>{t('common.userProfile.settings')}</div> <div className='w-full'> { menuItems.map(menuItem => ( - <div key={menuItem.key} className='mb-4'> + <div key={menuItem.key} className='mb-2'> {!isCurrentWorkspaceDatasetOperator && ( - <div className='px-2 mb-[6px] sm:text-xs system-xs-medium-uppercase text-text-tertiary'>{menuItem.name}</div> + <div className='py-2 pl-3 pb-1 mb-0.5 system-xs-medium-uppercase text-text-tertiary'>{menuItem.name}</div> )} <div> { menuItem.items.map(item => ( <div key={item.key} - className={` - flex items-center h-[37px] mb-[2px] text-sm cursor-pointer rounded-lg - ${activeMenu === item.key ? 'system-sm-semibold text-components-menu-item-text-active bg-state-base-active' : 'system-sm-medium text-components-menu-item-text'} - `} + className={cn( + 'flex items-center mb-0.5 p-1 pl-3 h-[37px] text-sm cursor-pointer rounded-lg', + activeMenu === item.key ? 'bg-state-base-active text-components-menu-item-text-active system-sm-semibold' : 'text-components-menu-item-text system-sm-medium')} title={item.name} onClick={() => setActiveMenu(item.key)} > @@ -184,31 +180,50 @@ export default function AccountSetting({ } </div> </div> - <div ref={scrollRef} className='relative w-[824px] h-[720px] pb-4 overflow-y-auto'> - <div className={cn('sticky top-0 px-6 py-4 flex items-center h-14 mb-4 bg-components-panel-bg title-2xl-semi-bold text-text-primary z-20', scrolled && scrolledClassName)}> - <div className='shrink-0'>{activeItem?.name}</div> - { - activeItem?.description && ( - <div className='shrink-0 ml-2 text-xs text-gray-600'>{activeItem?.description}</div> - ) - } - <div className='grow flex justify-end'> - <div className='z-[10] flex items-center justify-center -mr-4 p-2 cursor-pointer rounded-[10px] hover:bg-components-button-tertiary-bg' onClick={onCancel}> - <RiCloseLine className='w-5 h-5 text-components-button-tertiary-text' /> - </div> - </div> + <div className='relative flex w-[824px]'> + <div className='absolute top-6 -right-11 flex flex-col items-center z-[9999]'> + <Button + variant='tertiary' + size='large' + className='px-2' + onClick={onCancel} + > + <RiCloseLine className='w-5 h-5' /> + </Button> + <div className='mt-1 text-text-tertiary system-2xs-medium-uppercase'>ESC</div> </div> - <div className='px-4 sm:px-8 pt-2'> - {activeMenu === 'members' && <MembersPage />} - {activeMenu === 'billing' && <BillingPage />} - {activeMenu === 'language' && <LanguagePage />} - {activeMenu === 'provider' && <ModelProviderPage />} - {activeMenu === 'data-source' && <DataSourcePage />} - {activeMenu === 'api-based-extension' && <ApiBasedExtensionPage />} - {activeMenu === 'custom' && <CustomPage />} + <div ref={scrollRef} className='w-full pb-4 bg-components-panel-bg overflow-y-auto'> + <div className={cn('sticky top-0 mx-8 pt-[27px] pb-2 mb-[18px] flex items-center bg-components-panel-bg z-20', scrolled && 'border-b border-divider-regular')}> + <div className='shrink-0 text-text-primary title-2xl-semi-bold'>{activeItem?.name}</div> + { + activeItem?.description && ( + <div className='shrink-0 ml-2 text-xs text-text-tertiary'>{activeItem?.description}</div> + ) + } + {activeItem?.key === 'provider' && ( + <div className='grow flex justify-end'> + <Input + showLeftIcon + wrapperClassName='!w-[200px]' + className='!h-8 !text-[13px]' + onChange={e => setSearchValue(e.target.value)} + value={searchValue} + /> + </div> + )} + </div> + <div className='px-4 sm:px-8 pt-2'> + {activeMenu === 'provider' && <ModelProviderPage searchText={searchValue} />} + {activeMenu === 'members' && <MembersPage />} + {activeMenu === 'billing' && <BillingPage />} + {activeMenu === 'data-source' && <DataSourcePage />} + {activeMenu === 'api-based-extension' && <ApiBasedExtensionPage />} + {activeMenu === 'custom' && <CustomPage />} + {activeMenu === 'language' && <LanguagePage />} + </div> </div> </div> </div> - </Modal> + </MenuDialog> ) } diff --git a/web/app/components/header/account-setting/members-page/index.tsx b/web/app/components/header/account-setting/members-page/index.tsx index de3fef9b957ec3..366a8a92ba10e1 100644 --- a/web/app/components/header/account-setting/members-page/index.tsx +++ b/web/app/components/header/account-setting/members-page/index.tsx @@ -47,7 +47,7 @@ const MembersPage = () => { return ( <> <div className='flex flex-col'> - <div className='flex items-center mb-4 p-3 bg-gray-50 rounded-2xl'> + <div className='flex items-center mb-4 p-3 gap-1 bg-gray-50 rounded-2xl'> <LogoEmbeddedChatHeader className='!w-10 !h-10' /> <div className='grow mx-2'> <div className='text-sm font-medium text-gray-900'>{currentWorkspace?.name}</div> diff --git a/web/app/components/header/account-setting/menu-dialog.tsx b/web/app/components/header/account-setting/menu-dialog.tsx new file mode 100644 index 00000000000000..76296b84ddc4a7 --- /dev/null +++ b/web/app/components/header/account-setting/menu-dialog.tsx @@ -0,0 +1,59 @@ +import { Fragment, useCallback, useEffect } from 'react' +import type { ReactNode } from 'react' +import { Dialog, Transition } from '@headlessui/react' +import cn from '@/utils/classnames' + +type DialogProps = { + className?: string + children: ReactNode + show: boolean + onClose?: () => void +} + +const MenuDialog = ({ + className, + children, + show, + onClose, +}: DialogProps) => { + const close = useCallback(() => onClose?.(), [onClose]) + + useEffect(() => { + const handleKeyDown = (event: KeyboardEvent) => { + if (event.key === 'Escape') + close() + } + + document.addEventListener('keydown', handleKeyDown) + return () => { + document.removeEventListener('keydown', handleKeyDown) + } + }, [close]) + + return ( + <Transition appear show={show} as={Fragment}> + <Dialog as="div" className="relative z-[60]" onClose={() => {}}> + <div className="fixed inset-0"> + <div className="flex flex-col items-center justify-center min-h-full"> + <Transition.Child + as={Fragment} + enter="ease-out duration-300" + enterFrom="opacity-0 scale-95" + enterTo="opacity-100 scale-100" + leave="ease-in duration-200" + leaveFrom="opacity-100 scale-100" + leaveTo="opacity-0 scale-95" + > + <Dialog.Panel className={cn('grow relative w-full h-full p-0 overflow-hidden text-left align-middle transition-all transform bg-background-sidenav-bg backdrop-blur-md', className)}> + <div className='absolute top-0 right-0 h-full w-1/2 bg-components-panel-bg' /> + {children} + </Dialog.Panel> + </Transition.Child> + </div> + </div> + </Dialog> + </Transition > + ) +} + +export default MenuDialog diff --git a/web/app/components/header/account-setting/model-provider-page/declarations.ts b/web/app/components/header/account-setting/model-provider-page/declarations.ts index 02f178c52f58a0..486a1e44f5d0e6 100644 --- a/web/app/components/header/account-setting/model-provider-page/declarations.ts +++ b/web/app/components/header/account-setting/model-provider-page/declarations.ts @@ -15,6 +15,10 @@ export enum FormTypeEnum { boolean = 'boolean', files = 'files', file = 'file', + modelSelector = 'model-selector', + toolSelector = 'tool-selector', + multiToolSelector = 'array[tools]', + appSelector = 'app-selector', } export type FormOption = { @@ -109,9 +113,19 @@ export type CredentialFormSchemaBase = { tooltip?: TypeWithI18N show_on: FormShowOnObject[] url?: string + scope?: string } -export type CredentialFormSchemaTextInput = CredentialFormSchemaBase & { max_length?: number; placeholder?: TypeWithI18N } +export type CredentialFormSchemaTextInput = CredentialFormSchemaBase & { + max_length?: number; + placeholder?: TypeWithI18N, + template?: { + enabled: boolean + }, + auto_generate?: { + type: string + } +} export type CredentialFormSchemaNumberInput = CredentialFormSchemaBase & { min?: number; max?: number; placeholder?: TypeWithI18N } export type CredentialFormSchemaSelect = CredentialFormSchemaBase & { options: FormOption[]; placeholder?: TypeWithI18N } export type CredentialFormSchemaRadio = CredentialFormSchemaBase & { options: FormOption[] } diff --git a/web/app/components/header/account-setting/model-provider-page/hooks.ts b/web/app/components/header/account-setting/model-provider-page/hooks.ts index 54396cc5386da7..48acaeb64ad0d0 100644 --- a/web/app/components/header/account-setting/model-provider-page/hooks.ts +++ b/web/app/components/header/account-setting/model-provider-page/hooks.ts @@ -11,10 +11,12 @@ import type { DefaultModel, DefaultModelResponse, Model, + ModelProvider, ModelTypeEnum, } from './declarations' import { ConfigurationMethodEnum, + CustomConfigurationStatusEnum, ModelStatusEnum, } from './declarations' import I18n from '@/context/i18n' @@ -26,6 +28,15 @@ import { getPayUrl, } from '@/service/common' import { useProviderContext } from '@/context/provider-context' +import { + useMarketplacePlugins, +} from '@/app/components/plugins/marketplace/hooks' +import type { Plugin } from '@/app/components/plugins/types' +import { PluginType } from '@/app/components/plugins/types' +import { getMarketplacePluginsByCollectionId } from '@/app/components/plugins/marketplace/utils' +import { useModalContextSelector } from '@/context/modal-context' +import { useEventEmitterContextContext } from '@/context/event-emitter' +import { UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST } from './provider-added-card' type UseDefaultModelAndModelList = ( defaultModel: DefaultModelResponse | undefined, @@ -233,3 +244,110 @@ export const useUpdateModelProviders = () => { return updateModelProviders } + +export const useMarketplaceAllPlugins = (providers: ModelProvider[], searchText: string) => { + const exclude = useMemo(() => { + return providers.map(provider => provider.provider.replace(/(.+)\/([^/]+)$/, '$1')) + }, [providers]) + const [collectionPlugins, setCollectionPlugins] = useState<Plugin[]>([]) + + const { + plugins, + queryPlugins, + queryPluginsWithDebounced, + isLoading, + } = useMarketplacePlugins() + + const getCollectionPlugins = useCallback(async () => { + const collectionPlugins = await getMarketplacePluginsByCollectionId('__model-settings-pinned-models') + + setCollectionPlugins(collectionPlugins) + }, []) + + useEffect(() => { + getCollectionPlugins() + }, [getCollectionPlugins]) + + useEffect(() => { + if (searchText) { + queryPluginsWithDebounced({ + query: searchText, + category: PluginType.model, + exclude, + type: 'plugin', + sortBy: 'install_count', + sortOrder: 'DESC', + }) + } + else { + queryPlugins({ + query: '', + category: PluginType.model, + type: 'plugin', + pageSize: 1000, + exclude, + sortBy: 'install_count', + sortOrder: 'DESC', + }) + } + }, [queryPlugins, queryPluginsWithDebounced, searchText, exclude]) + + const allPlugins = useMemo(() => { + const allPlugins = [...collectionPlugins.filter(plugin => !exclude.includes(plugin.plugin_id))] + + if (plugins?.length) { + for (let i = 0; i < plugins.length; i++) { + const plugin = plugins[i] + + if (plugin.type !== 'bundle' && !allPlugins.find(p => p.plugin_id === plugin.plugin_id)) + allPlugins.push(plugin) + } + } + + return allPlugins + }, [plugins, collectionPlugins, exclude]) + + return { + plugins: allPlugins, + isLoading, + } +} + +export const useModelModalHandler = () => { + const setShowModelModal = useModalContextSelector(state => state.setShowModelModal) + const updateModelProviders = useUpdateModelProviders() + const updateModelList = useUpdateModelList() + const { eventEmitter } = useEventEmitterContextContext() + + return ( + provider: ModelProvider, + configurationMethod: ConfigurationMethodEnum, + CustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields, + ) => { + setShowModelModal({ + payload: { + currentProvider: provider, + currentConfigurationMethod: configurationMethod, + currentCustomConfigurationModelFixedFields: CustomConfigurationModelFixedFields, + }, + onSaveCallback: () => { + updateModelProviders() + + provider.supported_model_types.forEach((type) => { + updateModelList(type) + }) + + if (configurationMethod === ConfigurationMethodEnum.customizableModel + && provider.custom_configuration.status === CustomConfigurationStatusEnum.active) { + eventEmitter?.emit({ + type: UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST, + payload: provider.provider, + } as any) + + if (CustomConfigurationModelFixedFields?.__model_type) + updateModelList(CustomConfigurationModelFixedFields.__model_type) + } + }, + }) + } +} diff --git a/web/app/components/header/account-setting/model-provider-page/index.tsx b/web/app/components/header/account-setting/model-provider-page/index.tsx index a8a5a0cf420471..949352a265dc29 100644 --- a/web/app/components/header/account-setting/model-provider-page/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/index.tsx @@ -1,39 +1,53 @@ -import { useMemo } from 'react' +import { useCallback, useMemo, useState } from 'react' import { useTranslation } from 'react-i18next' +import Link from 'next/link' +import { useDebounce } from 'ahooks' +import { + RiAlertFill, + RiArrowDownSLine, + RiArrowRightUpLine, + RiBrainLine, +} from '@remixicon/react' import SystemModelSelector from './system-model-selector' -import ProviderAddedCard, { UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST } from './provider-added-card' -import ProviderCard from './provider-card' +import ProviderAddedCard from './provider-added-card' import type { + ConfigurationMethodEnum, CustomConfigurationModelFixedFields, + ModelProvider, } from './declarations' import { - ConfigurationMethodEnum, CustomConfigurationStatusEnum, ModelTypeEnum, } from './declarations' import { useDefaultModel, - useUpdateModelList, - useUpdateModelProviders, + useMarketplaceAllPlugins, + useModelModalHandler, } from './hooks' -import { AlertTriangle } from '@/app/components/base/icons/src/vender/solid/alertsAndFeedback' +import Divider from '@/app/components/base/divider' +import Loading from '@/app/components/base/loading' +import ProviderCard from '@/app/components/plugins/provider-card' +import List from '@/app/components/plugins/marketplace/list' import { useProviderContext } from '@/context/provider-context' -import { useModalContextSelector } from '@/context/modal-context' -import { useEventEmitterContextContext } from '@/context/event-emitter' +import type { Plugin } from '@/app/components/plugins/types' +import { MARKETPLACE_URL_PREFIX } from '@/config' +import cn from '@/utils/classnames' +import { getLocaleOnClient } from '@/i18n' + +type Props = { + searchText: string +} -const ModelProviderPage = () => { +const ModelProviderPage = ({ searchText }: Props) => { + const debouncedSearchText = useDebounce(searchText, { wait: 500 }) const { t } = useTranslation() - const { eventEmitter } = useEventEmitterContextContext() - const updateModelProviders = useUpdateModelProviders() - const updateModelList = useUpdateModelList() const { data: textGenerationDefaultModel } = useDefaultModel(ModelTypeEnum.textGeneration) const { data: embeddingsDefaultModel } = useDefaultModel(ModelTypeEnum.textEmbedding) const { data: rerankDefaultModel } = useDefaultModel(ModelTypeEnum.rerank) const { data: speech2textDefaultModel } = useDefaultModel(ModelTypeEnum.speech2text) const { data: ttsDefaultModel } = useDefaultModel(ModelTypeEnum.tts) const { modelProviders: providers } = useProviderContext() - const setShowModelModal = useModalContextSelector(state => state.setShowModelModal) const defaultModelNotConfigured = !textGenerationDefaultModel && !embeddingsDefaultModel && !speech2textDefaultModel && !rerankDefaultModel && !ttsDefaultModel const [configuredProviders, notConfiguredProviders] = useMemo(() => { const configuredProviders: ModelProvider[] = [] @@ -54,97 +68,125 @@ const ModelProviderPage = () => { return [configuredProviders, notConfiguredProviders] }, [providers]) + const [filteredConfiguredProviders, filteredNotConfiguredProviders] = useMemo(() => { + const filteredConfiguredProviders = configuredProviders.filter( + provider => provider.provider.toLowerCase().includes(debouncedSearchText.toLowerCase()) + || Object.values(provider.label).some(text => text.toLowerCase().includes(debouncedSearchText.toLowerCase())), + ) + const filteredNotConfiguredProviders = notConfiguredProviders.filter( + provider => provider.provider.toLowerCase().includes(debouncedSearchText.toLowerCase()) + || Object.values(provider.label).some(text => text.toLowerCase().includes(debouncedSearchText.toLowerCase())), + ) - const handleOpenModal = ( - provider: ModelProvider, - configurateMethod: ConfigurationMethodEnum, - CustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields, - ) => { - setShowModelModal({ - payload: { - currentProvider: provider, - currentConfigurationMethod: configurateMethod, - currentCustomConfigurationModelFixedFields: CustomConfigurationModelFixedFields, - }, - onSaveCallback: () => { - updateModelProviders() + return [filteredConfiguredProviders, filteredNotConfiguredProviders] + }, [configuredProviders, debouncedSearchText, notConfiguredProviders]) - if (configurateMethod === ConfigurationMethodEnum.predefinedModel) { - provider.supported_model_types.forEach((type) => { - updateModelList(type) - }) - } + const handleOpenModal = useModelModalHandler() + const [collapse, setCollapse] = useState(false) + const locale = getLocaleOnClient() + const { + plugins: allPlugins, + isLoading: isAllPluginsLoading, + } = useMarketplaceAllPlugins(providers, searchText) - if (configurateMethod === ConfigurationMethodEnum.customizableModel && provider.custom_configuration.status === CustomConfigurationStatusEnum.active) { - eventEmitter?.emit({ - type: UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST, - payload: provider.provider, - } as any) + const cardRender = useCallback((plugin: Plugin) => { + if (plugin.type === 'bundle') + return null - if (CustomConfigurationModelFixedFields?.__model_type) - updateModelList(CustomConfigurationModelFixedFields?.__model_type) - } - }, - }) - } + return <ProviderCard key={plugin.plugin_id} payload={plugin} /> + }, []) return ( <div className='relative pt-1 -mt-2'> - <div className={`flex items-center justify-between mb-2 h-8 ${defaultModelNotConfigured && 'px-3 bg-[#FFFAEB] rounded-lg border border-[#FEF0C7]'}`}> + <div className={cn('flex items-center mb-2')}> + <div className='grow text-text-primary system-md-semibold'>{t('common.modelProvider.models')}</div> + <div className={cn( + 'shrink-0 relative flex items-center justify-end gap-2 p-px rounded-lg border border-transparent', + defaultModelNotConfigured && 'pl-2 bg-components-panel-bg-blur border-components-panel-border shadow-xs', + )}> + {defaultModelNotConfigured && <div className='absolute top-0 bottom-0 right-0 left-0 opacity-40' style={{ background: 'linear-gradient(92deg, rgba(247, 144, 9, 0.25) 0%, rgba(255, 255, 255, 0.00) 100%)' }} />} + {defaultModelNotConfigured && ( + <div className='flex items-center gap-1 text-text-primary system-xs-medium'> + <RiAlertFill className='w-4 h-4 text-text-warning-secondary' /> + {t('common.modelProvider.notConfigured')} + </div> + )} + <SystemModelSelector + notConfigured={defaultModelNotConfigured} + textGenerationDefaultModel={textGenerationDefaultModel} + embeddingsDefaultModel={embeddingsDefaultModel} + rerankDefaultModel={rerankDefaultModel} + speech2textDefaultModel={speech2textDefaultModel} + ttsDefaultModel={ttsDefaultModel} + /> + </div> + </div> + {!filteredConfiguredProviders?.length && ( + <div className='mb-2 p-4 rounded-[10px] bg-workflow-process-bg'> + <div className='w-10 h-10 flex items-center justify-center rounded-[10px] border-[0.5px] border-components-card-border bg-components-card-bg shadow-lg backdrop-blur'> + <RiBrainLine className='w-5 h-5 text-text-primary' /> + </div> + <div className='mt-2 text-text-secondary system-sm-medium'>{t('common.modelProvider.emptyProviderTitle')}</div> + <div className='mt-1 text-text-tertiary system-xs-regular'>{t('common.modelProvider.emptyProviderTip')}</div> + </div> + )} + {!!filteredConfiguredProviders?.length && ( + <div className='relative'> + {filteredConfiguredProviders?.map(provider => ( + <ProviderAddedCard + key={provider.provider} + provider={provider} + onOpenModal={(configurationMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => handleOpenModal(provider, configurationMethod, currentCustomConfigurationModelFixedFields)} + /> + ))} + </div> + )} + {!!filteredNotConfiguredProviders?.length && ( + <> + <div className='flex items-center mb-2 pt-2 text-text-primary system-md-semibold'>{t('common.modelProvider.toBeConfigured')}</div> + <div className='relative'> + {filteredNotConfiguredProviders?.map(provider => ( + <ProviderAddedCard + notConfigured + key={provider.provider} + provider={provider} + onOpenModal={(configurationMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => handleOpenModal(provider, configurationMethod, currentCustomConfigurationModelFixedFields)} + /> + ))} + </div> + </> + )} + <div className='mb-2'> + <Divider className='!mt-4 h-px' /> + <div className='flex items-center justify-between'> + <div className='flex items-center gap-1 text-text-primary system-md-semibold cursor-pointer' onClick={() => setCollapse(!collapse)}> + <RiArrowDownSLine className={cn('w-4 h-4', collapse && '-rotate-90')} /> + {t('common.modelProvider.installProvider')} + </div> + <div className='flex items-center mb-2 pt-2'> + <span className='pr-1 text-text-tertiary system-sm-regular'>{t('common.modelProvider.discoverMore')}</span> + <Link target="_blank" href={`${MARKETPLACE_URL_PREFIX}`} className='inline-flex items-center system-sm-medium text-text-accent'> + {t('plugin.marketplace.difyMarketplace')} + <RiArrowRightUpLine className='w-4 h-4' /> + </Link> + </div> + </div> + {!collapse && isAllPluginsLoading && <Loading type='area' />} { - defaultModelNotConfigured - ? ( - <div className='flex items-center text-xs font-medium text-gray-700'> - <AlertTriangle className='mr-1 w-3 h-3 text-[#F79009]' /> - {t('common.modelProvider.notConfigured')} - </div> - ) - : <div className='text-sm font-medium text-gray-800'>{t('common.modelProvider.models')}</div> + !isAllPluginsLoading && !collapse && ( + <List + marketplaceCollections={[]} + marketplaceCollectionPluginsMap={{}} + plugins={allPlugins} + showInstallButton + locale={locale} + cardContainerClassName='grid grid-cols-2 gap-2' + cardRender={cardRender} + emptyClassName='h-auto' + /> + ) } - <SystemModelSelector - textGenerationDefaultModel={textGenerationDefaultModel} - embeddingsDefaultModel={embeddingsDefaultModel} - rerankDefaultModel={rerankDefaultModel} - speech2textDefaultModel={speech2textDefaultModel} - ttsDefaultModel={ttsDefaultModel} - /> </div> - { - !!configuredProviders?.length && ( - <div className='pb-3'> - { - configuredProviders?.map(provider => ( - <ProviderAddedCard - key={provider.provider} - provider={provider} - onOpenModal={(configurateMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => handleOpenModal(provider, configurateMethod, currentCustomConfigurationModelFixedFields)} - /> - )) - } - </div> - ) - } - { - !!notConfiguredProviders?.length && ( - <> - <div className='flex items-center mb-2 text-xs font-semibold text-gray-500'> - + {t('common.modelProvider.addMoreModelProvider')} - <span className='grow ml-3 h-[1px] bg-gradient-to-r from-[#f3f4f6]' /> - </div> - <div className='grid grid-cols-3 gap-2'> - { - notConfiguredProviders?.map(provider => ( - <ProviderCard - key={provider.provider} - provider={provider} - onOpenModal={(configurateMethod: ConfigurationMethodEnum) => handleOpenModal(provider, configurateMethod)} - /> - )) - } - </div> - </> - ) - } </div> ) } diff --git a/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx index a16b101e6a57c1..fc59bd0e75761b 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-icon/index.tsx @@ -4,40 +4,45 @@ import type { ModelProvider, } from '../declarations' import { useLanguage } from '../hooks' -import { CubeOutline } from '@/app/components/base/icons/src/vender/line/shapes' -import { OpenaiViolet } from '@/app/components/base/icons/src/public/llm' +import { Group } from '@/app/components/base/icons/src/vender/other' +import { OpenaiBlue, OpenaiViolet } from '@/app/components/base/icons/src/public/llm' +import cn from '@/utils/classnames' +import { renderI18nObject } from '@/hooks/use-i18n' type ModelIconProps = { provider?: Model | ModelProvider modelName?: string className?: string + isDeprecated?: boolean } const ModelIcon: FC<ModelIconProps> = ({ provider, className, modelName, + isDeprecated = false, }) => { const language = useLanguage() - - if (provider?.provider === 'openai' && (modelName?.startsWith('gpt-4') || modelName?.includes('4o'))) - return <OpenaiViolet className={`w-4 h-4 ${className}`}/> + if (provider?.provider.includes('openai') && modelName?.includes('gpt-4o')) + return <div className='flex items-center justify-center'><OpenaiBlue className={cn('w-5 h-5', className)} /></div> + if (provider?.provider.includes('openai') && modelName?.startsWith('gpt-4')) + return <div className='flex items-center justify-center'><OpenaiViolet className={cn('w-5 h-5', className)} /></div> if (provider?.icon_small) { return ( - <img - alt='model-icon' - src={`${provider.icon_small[language] || provider.icon_small.en_US}`} - className={`w-4 h-4 ${className}`} - /> + <div className={cn('flex items-center justify-center w-5 h-5', isDeprecated && 'opacity-50', className)}> + <img alt='model-icon' src={renderI18nObject(provider.icon_small, language)}/> + </div> ) } return ( - <div className={` - flex items-center justify-center w-6 h-6 rounded border-[0.5px] border-black/5 bg-gray-50 - ${className} - `}> - <CubeOutline className='w-4 h-4 text-gray-400' /> + <div className={cn( + 'flex items-center justify-center rounded-md border-[0.5px] w-5 h-5 border-components-panel-border-subtle bg-background-default-subtle', + className, + )}> + <div className='flex w-5 h-5 items-center justify-center opacity-35'> + <Group className='text-text-tertiary w-3 h-3' /> + </div> </div> ) } diff --git a/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx b/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx index e8e92ca800943f..0da6b863a33dbd 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-modal/Form.tsx @@ -1,5 +1,5 @@ -import { useState } from 'react' -import type { FC } from 'react' +import { useCallback, useState } from 'react' +import type { ReactNode } from 'react' import { ValidatingTip } from '../../key-validator/ValidateStatus' import type { CredentialFormSchema, @@ -17,24 +17,48 @@ import cn from '@/utils/classnames' import { SimpleSelect } from '@/app/components/base/select' import Tooltip from '@/app/components/base/tooltip' import Radio from '@/app/components/base/radio' -type FormProps = { +import ModelParameterModal from '@/app/components/plugins/plugin-detail-panel/model-selector' +import ToolSelector from '@/app/components/plugins/plugin-detail-panel/tool-selector' +import MultipleToolSelector from '@/app/components/plugins/plugin-detail-panel/multiple-tool-selector' +import AppSelector from '@/app/components/plugins/plugin-detail-panel/app-selector' +import RadioE from '@/app/components/base/radio/ui' +import type { + NodeOutPutVar, +} from '@/app/components/workflow/types' +import type { Node } from 'reactflow' + +type FormProps< + CustomFormSchema extends Omit<CredentialFormSchema, 'type'> & { type: string } = never, +> = { className?: string itemClassName?: string fieldLabelClassName?: string value: FormValue onChange: (val: FormValue) => void - formSchemas: CredentialFormSchema[] + formSchemas: Array<CredentialFormSchema | CustomFormSchema> validating: boolean validatedSuccess?: boolean showOnVariableMap: Record<string, string[]> isEditMode: boolean + isAgentStrategy?: boolean readonly?: boolean inputClassName?: string isShowDefaultValue?: boolean - fieldMoreInfo?: (payload: CredentialFormSchema) => JSX.Element | null + fieldMoreInfo?: (payload: CredentialFormSchema | CustomFormSchema) => ReactNode + customRenderField?: ( + formSchema: CustomFormSchema, + props: Omit<FormProps<CustomFormSchema>, 'override' | 'customRenderField'> + ) => ReactNode + // If return falsy value, this field will fallback to default render + override?: [Array<FormTypeEnum>, (formSchema: CredentialFormSchema, props: Omit<FormProps<CustomFormSchema>, 'override' | 'customRenderField'>) => ReactNode] + nodeId?: string + nodeOutputVars?: NodeOutPutVar[], + availableNodes?: Node[], } -const Form: FC<FormProps> = ({ +function Form< + CustomFormSchema extends Omit<CredentialFormSchema, 'type'> & { type: string } = never, +>({ className, itemClassName, fieldLabelClassName, @@ -45,13 +69,35 @@ const Form: FC<FormProps> = ({ validatedSuccess, showOnVariableMap, isEditMode, + isAgentStrategy = false, readonly, inputClassName, isShowDefaultValue = false, fieldMoreInfo, -}) => { + customRenderField, + override, + nodeId, + nodeOutputVars, + availableNodes, +}: FormProps<CustomFormSchema>) { const language = useLanguage() const [changeKey, setChangeKey] = useState('') + const filteredProps: Omit<FormProps<CustomFormSchema>, 'override' | 'customRenderField'> = { + className, + itemClassName, + fieldLabelClassName, + value, + onChange, + formSchemas, + validating, + validatedSuccess, + showOnVariableMap, + isEditMode, + readonly, + inputClassName, + isShowDefaultValue, + fieldMoreInfo, + } const handleFormChange = (key: string, val: string | boolean) => { if (isEditMode && (key === '__model_type' || key === '__model_name')) @@ -68,25 +114,37 @@ const Form: FC<FormProps> = ({ onChange({ ...value, [key]: val, ...shouldClearVariable }) } - const renderField = (formSchema: CredentialFormSchema) => { + const handleModelChanged = useCallback((key: string, model: any) => { + const newValue = { + ...value[key], + ...model, + type: FormTypeEnum.modelSelector, + } + onChange({ ...value, [key]: newValue }) + }, [onChange, value]) + + const renderField = (formSchema: CredentialFormSchema | CustomFormSchema) => { const tooltip = formSchema.tooltip const tooltipContent = (tooltip && ( <Tooltip - popupContent={ - <div className='w-[200px]'> - {tooltip[language] || tooltip.en_US} - </div>} + popupContent={<div className='w-[200px]'> + {tooltip[language] || tooltip.en_US} + </div>} triggerClassName='ml-1 w-4 h-4' - asChild={false} - /> + asChild={false} /> )) + if (override) { + const [overrideTypes, overrideRender] = override + if (overrideTypes.includes(formSchema.type as FormTypeEnum)) { + const node = overrideRender(formSchema as CredentialFormSchema, filteredProps) + if (node) + return node + } + } + if (formSchema.type === FormTypeEnum.textInput || formSchema.type === FormTypeEnum.secretInput || formSchema.type === FormTypeEnum.textNumber) { const { - variable, - label, - placeholder, - required, - show_on, + variable, label, placeholder, required, show_on, } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput) if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value)) @@ -95,13 +153,11 @@ const Form: FC<FormProps> = ({ const disabled = readonly || (isEditMode && (variable === '__model_type' || variable === '__model_name')) return ( <div key={variable} className={cn(itemClassName, 'py-3')}> - <div className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}> + <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}> {label[language] || label.en_US} - { - required && ( - <span className='ml-1 text-red-500'>*</span> - ) - } + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} {tooltipContent} </div> <Input @@ -112,8 +168,7 @@ const Form: FC<FormProps> = ({ placeholder={placeholder?.[language] || placeholder?.en_US} disabled={disabled} type={formSchema.type === FormTypeEnum.textNumber ? 'number' : 'text'} - {...(formSchema.type === FormTypeEnum.textNumber ? { min: (formSchema as CredentialFormSchemaNumberInput).min, max: (formSchema as CredentialFormSchemaNumberInput).max } : {})} - /> + {...(formSchema.type === FormTypeEnum.textNumber ? { min: (formSchema as CredentialFormSchemaNumberInput).min, max: (formSchema as CredentialFormSchemaNumberInput).max } : {})} /> {fieldMoreInfo?.(formSchema)} {validating && changeKey === variable && <ValidatingTip />} </div> @@ -122,11 +177,7 @@ const Form: FC<FormProps> = ({ if (formSchema.type === FormTypeEnum.radio) { const { - options, - variable, - label, - show_on, - required, + options, variable, label, show_on, required, } = formSchema as CredentialFormSchemaRadio if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value)) @@ -136,40 +187,34 @@ const Form: FC<FormProps> = ({ return ( <div key={variable} className={cn(itemClassName, 'py-3')}> - <div className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}> + <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}> {label[language] || label.en_US} - { - required && ( - <span className='ml-1 text-red-500'>*</span> - ) - } + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} {tooltipContent} </div> <div className={`grid grid-cols-${options?.length} gap-3`}> - { - options.filter((option) => { - if (option.show_on.length) - return option.show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value) - - return true - }).map(option => ( - <div - className={` - flex items-center px-3 py-2 rounded-lg border border-gray-100 bg-gray-25 cursor-pointer - ${value[variable] === option.value && 'bg-white border-[1.5px] border-primary-400 shadow-sm'} + {options.filter((option) => { + if (option.show_on.length) + return option.show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value) + + return true + }).map(option => ( + <div + className={` + flex items-center gap-2 px-3 py-2 rounded-lg border border-components-option-card-option-border bg-components-option-card-option-bg cursor-pointer + ${value[variable] === option.value && 'bg-components-option-card-option-selected-bg border-[1.5px] border-components-option-card-option-selected-border shadow-sm'} ${disabled && '!cursor-not-allowed opacity-60'} `} - onClick={() => handleFormChange(variable, option.value)} - key={`${variable}-${option.value}`} - > - <div className={` - flex justify-center items-center mr-2 w-4 h-4 border border-gray-300 rounded-full - ${value[variable] === option.value && 'border-[5px] border-primary-600'} - `} /> - <div className='text-sm text-gray-900'>{option.label[language] || option.label.en_US}</div> - </div> - )) - } + onClick={() => handleFormChange(variable, option.value)} + key={`${variable}-${option.value}`} + > + <RadioE isChecked={value[variable] === option.value} /> + + <div className='system-sm-regular text-text-secondary'>{option.label[language] || option.label.en_US}</div> + </div> + ))} </div> {fieldMoreInfo?.(formSchema)} {validating && changeKey === variable && <ValidatingTip />} @@ -177,14 +222,9 @@ const Form: FC<FormProps> = ({ ) } - if (formSchema.type === 'select') { + if (formSchema.type === FormTypeEnum.select) { const { - options, - variable, - label, - show_on, - required, - placeholder, + options, variable, label, show_on, required, placeholder, } = formSchema as CredentialFormSchemaSelect if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value)) @@ -192,17 +232,16 @@ const Form: FC<FormProps> = ({ return ( <div key={variable} className={cn(itemClassName, 'py-3')}> - <div className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}> + <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}> {label[language] || label.en_US} - { - required && ( - <span className='ml-1 text-red-500'>*</span> - ) - } + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} {tooltipContent} </div> <SimpleSelect + wrapperClassName='h-8' className={cn(inputClassName)} disabled={readonly} defaultValue={(isShowDefaultValue && ((value[variable] as string) === '' || value[variable] === undefined || value[variable] === null)) ? formSchema.default : value[variable]} @@ -213,20 +252,16 @@ const Form: FC<FormProps> = ({ return true }).map(option => ({ value: option.value, name: option.label[language] || option.label.en_US }))} onSelect={item => handleFormChange(variable, item.value as string)} - placeholder={placeholder?.[language] || placeholder?.en_US} - /> + placeholder={placeholder?.[language] || placeholder?.en_US} /> {fieldMoreInfo?.(formSchema)} {validating && changeKey === variable && <ValidatingTip />} </div> ) } - if (formSchema.type === 'boolean') { + if (formSchema.type === FormTypeEnum.boolean) { const { - variable, - label, - show_on, - required, + variable, label, show_on, required, } = formSchema as CredentialFormSchemaRadio if (show_on.length && !show_on.every(showOnItem => value[showOnItem.variable] === showOnItem.value)) @@ -234,14 +269,12 @@ const Form: FC<FormProps> = ({ return ( <div key={variable} className={cn(itemClassName, 'py-3')}> - <div className='flex items-center justify-between py-2 text-sm text-gray-900'> + <div className='flex items-center justify-between py-2 system-sm-semibold text-text-secondary'> <div className='flex items-center space-x-2'> - <span className={cn(fieldLabelClassName, 'flex items-center py-2 text-sm text-gray-900')}>{label[language] || label.en_US}</span> - { - required && ( - <span className='ml-1 text-red-500'>*</span> - ) - } + <span className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-regular text-text-secondary')}>{label[language] || label.en_US}</span> + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} {tooltipContent} </div> <Radio.Group @@ -257,13 +290,130 @@ const Form: FC<FormProps> = ({ </div> ) } + + if (formSchema.type === FormTypeEnum.modelSelector) { + const { + variable, label, required, scope, + } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput) + return ( + <div key={variable} className={cn(itemClassName, 'py-3')}> + <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}> + {label[language] || label.en_US} + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} + {tooltipContent} + </div> + <ModelParameterModal + popupClassName='!w-[387px]' + isAdvancedMode + isInWorkflow + isAgentStrategy={isAgentStrategy} + value={value[variable]} + setModel={model => handleModelChanged(variable, model)} + readonly={readonly} + scope={scope} /> + {fieldMoreInfo?.(formSchema)} + {validating && changeKey === variable && <ValidatingTip />} + </div> + ) + } + + if (formSchema.type === FormTypeEnum.toolSelector) { + const { + variable, + label, + required, + scope, + } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput) + return ( + <div key={variable} className={cn(itemClassName, 'py-3')}> + <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}> + {label[language] || label.en_US} + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} + {tooltipContent} + </div> + <ToolSelector + scope={scope} + nodeId={nodeId} + nodeOutputVars={nodeOutputVars || []} + availableNodes={availableNodes || []} + disabled={readonly} + value={value[variable]} + // selectedTools={value[variable] ? [value[variable]] : []} + onSelect={item => handleFormChange(variable, item as any)} + onDelete={() => handleFormChange(variable, null as any)} + /> + {fieldMoreInfo?.(formSchema)} + {validating && changeKey === variable && <ValidatingTip />} + </div> + ) + } + + if (formSchema.type === FormTypeEnum.multiToolSelector) { + const { + variable, + label, + tooltip, + required, + scope, + } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput) + + return ( + <div key={variable} className={cn(itemClassName, 'py-3')}> + <MultipleToolSelector + disabled={readonly} + nodeId={nodeId} + nodeOutputVars={nodeOutputVars || []} + availableNodes={availableNodes || []} + scope={scope} + label={label[language] || label.en_US} + required={required} + tooltip={tooltip?.[language] || tooltip?.en_US} + value={value[variable] || []} + onChange={item => handleFormChange(variable, item as any)} + /> + {fieldMoreInfo?.(formSchema)} + {validating && changeKey === variable && <ValidatingTip />} + </div> + ) + } + + if (formSchema.type === FormTypeEnum.appSelector) { + const { + variable, label, required, scope, + } = formSchema as (CredentialFormSchemaTextInput | CredentialFormSchemaSecretInput) + + return ( + <div key={variable} className={cn(itemClassName, 'py-3')}> + <div className={cn(fieldLabelClassName, 'flex items-center py-2 system-sm-semibold text-text-secondary')}> + {label[language] || label.en_US} + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} + {tooltipContent} + </div> + <AppSelector + disabled={readonly} + scope={scope} + value={value[variable]} + onSelect={item => handleFormChange(variable, { ...item, type: FormTypeEnum.appSelector } as any)} /> + {fieldMoreInfo?.(formSchema)} + {validating && changeKey === variable && <ValidatingTip />} + </div> + ) + } + + // @ts-expect-error it work + if (!Object.values(FormTypeEnum).includes(formSchema.type)) + return customRenderField?.(formSchema as CustomFormSchema, filteredProps) } return ( <div className={className}> - { - formSchemas.map(formSchema => renderField(formSchema)) - } + {formSchemas.map(formSchema => renderField(formSchema))} </div> ) } diff --git a/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx b/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx index 86d52619e69ddc..f94b708bf382a5 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-modal/Input.tsx @@ -26,14 +26,14 @@ const Input: FC<InputProps> = ({ max, }) => { const toLimit = (v: string) => { - const minNum = parseFloat(`${min}`) - const maxNum = parseFloat(`${max}`) - if (!isNaN(minNum) && parseFloat(v) < minNum) { + const minNum = Number.parseFloat(`${min}`) + const maxNum = Number.parseFloat(`${max}`) + if (!isNaN(minNum) && Number.parseFloat(v) < minNum) { onChange(`${min}`) return } - if (!isNaN(maxNum) && parseFloat(v) > maxNum) + if (!isNaN(maxNum) && Number.parseFloat(v) > maxNum) onChange(`${max}`) } return ( @@ -41,11 +41,11 @@ const Input: FC<InputProps> = ({ <input tabIndex={0} className={` - block px-3 w-full h-9 bg-gray-100 text-sm rounded-lg border border-transparent + block px-3 w-full h-8 bg-components-input-bg-normal text-sm text-components-input-text-filled rounded-lg border border-transparent appearance-none outline-none caret-primary-600 - hover:border-[rgba(0,0,0,0.08)] hover:bg-gray-50 - focus:bg-white focus:border-gray-300 focus:shadow-xs - placeholder:text-sm placeholder:text-gray-400 + hover:border-components-input-border-hover hover:bg-components-input-bg-hover + focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs + placeholder:text-sm placeholder:text-text-tertiary ${validated && 'pr-[30px]'} ${className} `} diff --git a/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx index 967bcccdcae8b6..c9f8e44c59da36 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-modal/index.tsx @@ -35,7 +35,6 @@ import { useLanguage, useProviderCredentialsAndLoadBalancing, } from '../hooks' -import ProviderIcon from '../provider-icon' import { useValidate } from '../../key-validator/hooks' import { ValidatedStatus } from '../../key-validator/declarations' import ModelLoadBalancingConfigs from '../provider-added-card/model-load-balancing-configs' @@ -280,11 +279,10 @@ const ModelModal: FC<ModelModalProps> = ({ <PortalToFollowElem open> <PortalToFollowElemContent className='w-full h-full z-[60]'> <div className='fixed inset-0 flex items-center justify-center bg-black/[.25]'> - <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-white shadow-xl rounded-2xl overflow-y-auto'> + <div className='mx-2 w-[640px] max-h-[calc(100vh-120px)] bg-components-panel-bg shadow-xl rounded-2xl overflow-y-auto'> <div className='px-8 pt-8'> - <div className='flex justify-between items-center mb-2'> - <div className='text-xl font-semibold text-gray-900'>{renderTitlePrefix()}</div> - <ProviderIcon provider={provider} /> + <div className='flex items-center mb-2'> + <div className='text-xl font-semibold text-text-primary'>{renderTitlePrefix()}</div> </div> <Form @@ -297,7 +295,7 @@ const ModelModal: FC<ModelModalProps> = ({ isEditMode={isEditMode} /> - <div className='mt-1 mb-4 border-t-[0.5px] border-t-gray-100' /> + <div className='mt-1 mb-4 border-t-[0.5px] border-t-divider-regular' /> <ModelLoadBalancingConfigs withSwitch {...{ draftConfig, setDraftConfig, @@ -306,7 +304,7 @@ const ModelModal: FC<ModelModalProps> = ({ configurationMethod: configurateMethod, }} /> - <div className='sticky bottom-0 flex justify-between items-center mt-2 -mx-2 pt-4 px-2 pb-6 flex-wrap gap-y-2 bg-white'> + <div className='sticky bottom-0 flex justify-between items-center mt-2 -mx-2 pt-4 px-2 pb-6 flex-wrap gap-y-2 bg-components-panel-bg'> { (provider.help && (provider.help.title || provider.help.url)) ? ( @@ -326,8 +324,9 @@ const ModelModal: FC<ModelModalProps> = ({ { isEditMode && ( <Button + variant='warning' size='large' - className='mr-2 text-[#D92D20]' + className='mr-2' onClick={() => setShowConfirm(true)} > {t('common.operation.remove')} @@ -357,21 +356,21 @@ const ModelModal: FC<ModelModalProps> = ({ </div> </div> </div> - <div className='border-t-[0.5px] border-t-black/5'> + <div className='border-t-[0.5px] border-t-divider-regular'> { (validatedStatusState.status === ValidatedStatus.Error && validatedStatusState.message) ? ( - <div className='flex px-[10px] py-3 bg-[#FEF3F2] text-xs text-[#D92D20]'> + <div className='flex px-[10px] py-3 bg-background-section-burn text-xs text-[#D92D20]'> <RiErrorWarningFill className='mt-[1px] mr-2 w-[14px] h-[14px]' /> {validatedStatusState.message} </div> ) : ( - <div className='flex justify-center items-center py-3 bg-gray-50 text-xs text-gray-500'> - <Lock01 className='mr-1 w-3 h-3 text-gray-500' /> + <div className='flex justify-center items-center py-3 bg-background-section-burn text-xs text-text-tertiary'> + <Lock01 className='mr-1 w-3 h-3 text-text-tertiary' /> {t('common.modelProvider.encrypted.front')} <a - className='text-primary-600 mx-1' + className='text-text-accent mx-1' target='_blank' rel='noopener noreferrer' href='https://pycryptodome.readthedocs.io/en/latest/src/cipher/oaep.html' > diff --git a/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx index 379a9f41cae4f4..a14a22bb35ef1e 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-name/index.tsx @@ -37,43 +37,45 @@ const ModelName: FC<ModelNameProps> = ({ if (!modelItem) return null return ( - <div className={cn('flex items-center truncate text-components-input-text-filled system-sm-regular', className)}> + <div className={cn('flex gap-0.5 items-center overflow-hidden text-ellipsis truncate text-components-input-text-filled system-sm-regular', className)}> <div className='truncate' title={modelItem.label[language] || modelItem.label.en_US} > {modelItem.label[language] || modelItem.label.en_US} </div> - { - showModelType && modelItem.model_type && ( - <ModelBadge className={cn('ml-1', modelTypeClassName)}> - {modelTypeFormat(modelItem.model_type)} - </ModelBadge> - ) - } - { - modelItem.model_properties.mode && showMode && ( - <ModelBadge className={cn('ml-1', modeClassName)}> - {(modelItem.model_properties.mode as string).toLocaleUpperCase()} - </ModelBadge> - ) - } - { - showFeatures && modelItem.features?.map(feature => ( - <FeatureIcon - key={feature} - feature={feature} - className={featuresClassName} - /> - )) - } - { - showContextSize && modelItem.model_properties.context_size && ( - <ModelBadge className='ml-1'> - {sizeFormat(modelItem.model_properties.context_size as number)} - </ModelBadge> - ) - } + <div className='flex items-center gap-0.5'> + { + showModelType && modelItem.model_type && ( + <ModelBadge className={modelTypeClassName}> + {modelTypeFormat(modelItem.model_type)} + </ModelBadge> + ) + } + { + modelItem.model_properties.mode && showMode && ( + <ModelBadge className={modeClassName}> + {(modelItem.model_properties.mode as string).toLocaleUpperCase()} + </ModelBadge> + ) + } + { + showFeatures && modelItem.features?.map(feature => ( + <FeatureIcon + key={feature} + feature={feature} + className={featuresClassName} + /> + )) + } + { + showContextSize && modelItem.model_properties.context_size && ( + <ModelBadge> + {sizeFormat(modelItem.model_properties.context_size as number)} + </ModelBadge> + ) + } + </div> {children} </div> ) diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger.tsx new file mode 100644 index 00000000000000..33a21e19f74635 --- /dev/null +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger.tsx @@ -0,0 +1,154 @@ +import type { FC } from 'react' +import { useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import type { + ModelItem, + ModelProvider, +} from '../declarations' +import { + CustomConfigurationStatusEnum, + ModelTypeEnum, +} from '../declarations' +import { useInvalidateInstalledPluginList } from '@/service/use-plugins' +import ConfigurationButton from './configuration-button' +import Loading from '@/app/components/base/loading' +import { + useModelModalHandler, + useUpdateModelList, + useUpdateModelProviders, +} from '../hooks' +import ModelIcon from '../model-icon' +import ModelDisplay from './model-display' +import { InstallPluginButton } from '@/app/components/workflow/nodes/_base/components/install-plugin-button' +import StatusIndicators from './status-indicators' +import cn from '@/utils/classnames' +import { useProviderContext } from '@/context/provider-context' +import { RiEqualizer2Line } from '@remixicon/react' +import { useModelInList, usePluginInfo } from '@/service/use-plugins' + +export type AgentModelTriggerProps = { + open?: boolean + disabled?: boolean + currentProvider?: ModelProvider + currentModel?: ModelItem + providerName?: string + modelId?: string + hasDeprecated?: boolean + scope?: string +} + +const AgentModelTrigger: FC<AgentModelTriggerProps> = ({ + disabled, + currentProvider, + currentModel, + providerName, + modelId, + hasDeprecated, + scope, +}) => { + const { t } = useTranslation() + const { modelProviders } = useProviderContext() + const updateModelProviders = useUpdateModelProviders() + const updateModelList = useUpdateModelList() + const { modelProvider, needsConfiguration } = useMemo(() => { + const modelProvider = modelProviders.find(item => item.provider === providerName) + const needsConfiguration = modelProvider?.custom_configuration.status === CustomConfigurationStatusEnum.noConfigure && !( + modelProvider.system_configuration.enabled === true + && modelProvider.system_configuration.quota_configurations.find( + item => item.quota_type === modelProvider.system_configuration.current_quota_type, + ) + ) + return { + modelProvider, + needsConfiguration, + } + }, [modelProviders, providerName]) + const [installed, setInstalled] = useState(false) + const invalidateInstalledPluginList = useInvalidateInstalledPluginList() + const handleOpenModal = useModelModalHandler() + + const { data: inModelList = false } = useModelInList(currentProvider, modelId) + const { data: pluginInfo, isLoading: isPluginLoading } = usePluginInfo(providerName) + + if (modelId && isPluginLoading) + return <Loading /> + + return ( + <div + className={cn( + 'relative group flex items-center p-1 gap-[2px] flex-grow rounded-lg bg-components-input-bg-normal cursor-pointer hover:bg-state-base-hover-alt', + )} + > + {modelId ? ( + <> + <ModelIcon + className='p-0.5' + provider={currentProvider || modelProvider} + modelName={currentModel?.model || modelId} + isDeprecated={hasDeprecated} + /> + <ModelDisplay + currentModel={currentModel} + modelId={modelId} + /> + {needsConfiguration && ( + <ConfigurationButton + modelProvider={modelProvider} + handleOpenModal={handleOpenModal} + /> + )} + <StatusIndicators + needsConfiguration={needsConfiguration} + modelProvider={!!modelProvider} + inModelList={inModelList} + disabled={!!disabled} + pluginInfo={pluginInfo} + t={t} + /> + {!installed && !modelProvider && pluginInfo && ( + <InstallPluginButton + onClick={e => e.stopPropagation()} + size={'small'} + uniqueIdentifier={pluginInfo.latest_package_identifier} + onSuccess={() => { + [ + ModelTypeEnum.textGeneration, + ModelTypeEnum.textEmbedding, + ModelTypeEnum.rerank, + ModelTypeEnum.moderation, + ModelTypeEnum.speech2text, + ModelTypeEnum.tts, + ].forEach((type: ModelTypeEnum) => { + if (scope?.includes(type)) + updateModelList(type) + }, + ) + updateModelProviders() + invalidateInstalledPluginList() + setInstalled(true) + }} + /> + )} + {modelProvider && !disabled && !needsConfiguration && ( + <div className="flex pr-1 items-center"> + <RiEqualizer2Line className="w-4 h-4 text-text-tertiary group-hover:text-text-secondary" /> + </div> + )} + </> + ) : ( + <> + <div className="flex p-1 pl-2 items-center gap-1 grow"> + <span className="overflow-hidden text-ellipsis whitespace-nowrap system-sm-regular text-components-input-text-placeholder"> + {t('workflow.nodes.agent.configureModel')} + </span> + </div> + <div className="flex pr-1 items-center"> + <RiEqualizer2Line className="w-4 h-4 text-text-tertiary group-hover:text-text-secondary" /> + </div> + </> + )} + </div> + ) +} + +export default AgentModelTrigger diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/configuration-button.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/configuration-button.tsx new file mode 100644 index 00000000000000..0cc0f1be8ef6fb --- /dev/null +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/configuration-button.tsx @@ -0,0 +1,32 @@ +import Button from '@/app/components/base/button' +import { ConfigurationMethodEnum } from '../declarations' +import { useTranslation } from 'react-i18next' + +type ConfigurationButtonProps = { + modelProvider: any + handleOpenModal: any +} + +const ConfigurationButton = ({ modelProvider, handleOpenModal }: ConfigurationButtonProps) => { + const { t } = useTranslation() + return ( + <Button + size="small" + className="z-[100]" + onClick={(e) => { + e.stopPropagation() + handleOpenModal(modelProvider, ConfigurationMethodEnum.predefinedModel, undefined) + }} + > + <div className="flex px-[3px] justify-center items-center gap-1"> + {t('workflow.nodes.agent.notAuthorized')} + </div> + <div className="flex w-[14px] h-[14px] justify-center items-center"> + <div className="w-2 h-2 shrink-0 rounded-[3px] border border-components-badge-status-light-warning-border-inner + bg-components-badge-status-light-warning-bg shadow-components-badge-status-light-warning-halo" /> + </div> + </Button> + ) +} + +export default ConfigurationButton diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx index e21aa33d7a8b7f..5457b0e677e486 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/index.tsx @@ -48,6 +48,7 @@ export type ModelParameterModalProps = { renderTrigger?: (v: TriggerProps) => ReactNode readonly?: boolean isInWorkflow?: boolean + scope?: string } const stopParameterRule: ModelParameterRule = { default: [], @@ -68,7 +69,7 @@ const stopParameterRule: ModelParameterRule = { }, } -const PROVIDER_WITH_PRESET_TONE = ['openai', 'azure_openai'] +const PROVIDER_WITH_PRESET_TONE = ['langgenius/openai/openai', 'langgenius/azure_openai/azure_openai'] const ModelParameterModal: FC<ModelParameterModalProps> = ({ popupClassName, portalToFollowElemContentClassName, @@ -84,6 +85,7 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({ renderTrigger, readonly, isInWorkflow, + scope = 'text-generation', }) => { const { t } = useTranslation() const { isAPIKeySet } = useProviderContext() @@ -190,26 +192,22 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({ ) } </PortalToFollowElemTrigger> - <PortalToFollowElemContent className={cn(portalToFollowElemContentClassName, 'z-[60]')}> - <div className={cn(popupClassName, 'w-[496px] rounded-xl border border-gray-100 bg-white shadow-xl')}> - <div className={cn( - 'max-h-[480px] overflow-y-auto', - !isInWorkflow && 'px-10 pt-6 pb-8', - isInWorkflow && 'p-4')}> - <div className='flex items-center justify-between h-8'> - <div className={cn('font-semibold text-gray-900 shrink-0', isInWorkflow && 'text-[13px]')}> + <PortalToFollowElemContent className={cn('z-[60]', portalToFollowElemContentClassName)}> + <div className={cn(popupClassName, 'w-[389px] rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg')}> + <div className={cn('max-h-[420px] p-4 pt-3 overflow-y-auto')}> + <div className='relative'> + <div className={cn('mb-1 h-6 flex items-center text-text-secondary system-sm-semibold')}> {t('common.modelProvider.model').toLocaleUpperCase()} </div> <ModelSelector defaultModel={(provider || modelId) ? { provider, model: modelId } : undefined} modelList={activeTextGenerationModelList} onSelect={handleChangeModel} - triggerClassName='max-w-[295px]' /> </div> { !!parameterRules.length && ( - <div className='my-5 h-[1px] bg-gray-100' /> + <div className='my-3 h-[1px] bg-divider-subtle' /> ) } { @@ -219,8 +217,8 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({ } { !isLoading && !!parameterRules.length && ( - <div className='flex items-center justify-between mb-4'> - <div className={cn('font-semibold text-gray-900', isInWorkflow && 'text-[13px]')}>{t('common.modelProvider.parameters')}</div> + <div className='flex items-center justify-between mb-2'> + <div className={cn('h-6 flex items-center text-text-secondary system-sm-semibold')}>{t('common.modelProvider.parameters')}</div> { PROVIDER_WITH_PRESET_TONE.includes(provider) && ( <PresetsParameter onSelect={handleSelectPresetParameter} /> @@ -237,7 +235,6 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({ ].map(parameter => ( <ParameterItem key={`${modelId}-${parameter.name}`} - className='mb-4' parameterRule={parameter} value={completionParams?.[parameter.name]} onChange={v => handleParamChange(parameter.name, v)} @@ -250,7 +247,7 @@ const ModelParameterModal: FC<ModelParameterModalProps> = ({ </div> {!hideDebugWithMultipleModel && ( <div - className='flex items-center justify-between px-6 h-[50px] bg-gray-50 border-t border-t-gray-100 text-xs font-medium text-primary-600 cursor-pointer rounded-b-xl' + className='flex items-center justify-between px-4 h-[50px] bg-components-section-burn border-t border-t-divider-subtle system-sm-regular text-text-accent cursor-pointer rounded-b-xl' onClick={() => onDebugWithMultipleModelChange?.()} > { diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/model-display.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/model-display.tsx new file mode 100644 index 00000000000000..6f586c1f6fd978 --- /dev/null +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/model-display.tsx @@ -0,0 +1,25 @@ +import ModelName from '../model-name' + +type ModelDisplayProps = { + currentModel: any + modelId: string +} + +const ModelDisplay = ({ currentModel, modelId }: ModelDisplayProps) => { + return currentModel ? ( + <ModelName + className="flex px-1 py-[3px] items-center gap-1 grow" + modelItem={currentModel} + showMode + showFeatures + /> + ) : ( + <div className="flex py-[3px] px-1 items-center gap-1 grow opacity-50 truncate"> + <div className="text-components-input-text-filled text-ellipsis overflow-hidden system-sm-regular"> + {modelId} + </div> + </div> + ) +} + +export default ModelDisplay diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx index 376a08c1207f8e..f43598fc38d183 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item.tsx @@ -17,7 +17,6 @@ type ParameterItemProps = { parameterRule: ModelParameterRule value?: ParameterValue onChange?: (value: ParameterValue) => void - className?: string onSwitch?: (checked: boolean, assignValue: ParameterValue) => void isInWorkflow?: boolean } @@ -25,7 +24,6 @@ const ParameterItem: FC<ParameterItemProps> = ({ parameterRule, value, onChange, - className, onSwitch, isInWorkflow, }) => { @@ -150,7 +148,7 @@ const ParameterItem: FC<ParameterItemProps> = ({ />} <input ref={numberInputRef} - className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-gray-100 text-[13px] text-gra-900' + className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular' type='number' max={parameterRule.max} min={parameterRule.min} @@ -175,7 +173,7 @@ const ParameterItem: FC<ParameterItemProps> = ({ />} <input ref={numberInputRef} - className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-gray-100 text-[13px] text-gra-900' + className='shrink-0 block ml-4 pl-3 w-16 h-8 appearance-none outline-none rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular' type='number' max={parameterRule.max} min={parameterRule.min} @@ -190,12 +188,12 @@ const ParameterItem: FC<ParameterItemProps> = ({ if (parameterRule.type === 'boolean') { return ( <Radio.Group - className='w-[200px] flex items-center' + className='w-[178px] flex items-center' value={renderValue ? 1 : 0} onChange={handleRadioChange} > - <Radio value={1} className='!mr-1 w-[94px]'>True</Radio> - <Radio value={0} className='w-[94px]'>False</Radio> + <Radio value={1} className='w-[83px]'>True</Radio> + <Radio value={0} className='w-[83px]'>False</Radio> </Radio.Group> ) } @@ -203,7 +201,7 @@ const ParameterItem: FC<ParameterItemProps> = ({ if (parameterRule.type === 'string' && !parameterRule.options?.length) { return ( <input - className={cn(isInWorkflow ? 'w-[200px]' : 'w-full', 'ml-4 flex items-center px-3 h-8 appearance-none outline-none rounded-lg bg-gray-100 text-[13px] text-gra-900')} + className={cn(isInWorkflow ? 'w-[178px]' : 'w-full', 'ml-4 flex items-center px-3 h-8 appearance-none outline-none rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular')} value={renderValue as string} onChange={handleStringInputChange} /> @@ -213,7 +211,7 @@ const ParameterItem: FC<ParameterItemProps> = ({ if (parameterRule.type === 'text') { return ( <textarea - className='w-full h-20 ml-4 px-1 rounded-lg bg-gray-100 outline-none text-[12px] text-gray-900' + className='w-full h-20 ml-4 px-1 rounded-lg bg-components-input-bg-normal text-components-input-text-filled system-sm-regular' value={renderValue as string} onChange={handleStringInputChange} /> @@ -224,7 +222,7 @@ const ParameterItem: FC<ParameterItemProps> = ({ return ( <SimpleSelect className='!py-0' - wrapperClassName={cn(isInWorkflow ? '!w-[200px]' : 'w-full', 'ml-4 !h-8')} + wrapperClassName={cn('w-full !h-8')} defaultValue={renderValue as string} onSelect={handleSelect} items={parameterRule.options.map(option => ({ value: option, name: option }))} @@ -234,7 +232,7 @@ const ParameterItem: FC<ParameterItemProps> = ({ if (parameterRule.type === 'tag') { return ( - <div className={cn(isInWorkflow ? 'w-[200px]' : 'w-full', 'ml-4')}> + <div className={cn('w-full !h-8')}> <TagInput items={renderValue as string[]} onChange={handleTagChange} @@ -249,11 +247,22 @@ const ParameterItem: FC<ParameterItemProps> = ({ } return ( - <div className={`flex items-center justify-between ${className}`}> - <div> - <div className={cn(isInWorkflow ? 'w-[140px]' : 'w-full', 'ml-4 shrink-0 flex items-center')}> + <div className='flex items-center justify-between mb-2'> + <div className='shrink-0 basis-1/2'> + <div className={cn('shrink-0 w-full flex items-center')}> + { + !parameterRule.required && parameterRule.name !== 'stop' && ( + <div className='mr-2 w-7'> + <Switch + defaultValue={!isNullOrUndefined(value)} + onChange={handleSwitch} + size='md' + /> + </div> + ) + } <div - className='mr-0.5 text-[13px] font-medium text-gray-700 truncate' + className='mr-0.5 system-xs-regular text-text-secondary truncate' title={parameterRule.label[language] || parameterRule.label.en_US} > {parameterRule.label[language] || parameterRule.label.en_US} @@ -262,27 +271,17 @@ const ParameterItem: FC<ParameterItemProps> = ({ parameterRule.help && ( <Tooltip popupContent={( - <div className='w-[200px] whitespace-pre-wrap'>{parameterRule.help[language] || parameterRule.help.en_US}</div> + <div className='w-[178px] whitespace-pre-wrap'>{parameterRule.help[language] || parameterRule.help.en_US}</div> )} popupClassName='mr-1' triggerClassName='mr-1 w-4 h-4 shrink-0' /> ) } - { - !parameterRule.required && parameterRule.name !== 'stop' && ( - <Switch - className='mr-1' - defaultValue={!isNullOrUndefined(value)} - onChange={handleSwitch} - size='md' - /> - ) - } </div> { parameterRule.type === 'tag' && ( - <div className={cn(!isInWorkflow && 'w-[200px]', 'text-gray-400 text-xs font-normal')}> + <div className={cn(!isInWorkflow && 'w-[178px]', 'text-text-tertiary system-xs-regular')}> {parameterRule?.tagPlaceholder?.[language]} </div> ) diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx index de5061ef453b09..0d9e90853e4a37 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter.tsx @@ -2,12 +2,13 @@ import type { FC } from 'react' import { useCallback } from 'react' import { useTranslation } from 'react-i18next' import { RiArrowDownSLine } from '@remixicon/react' +import Button from '@/app/components/base/button' import Dropdown from '@/app/components/base/dropdown' -import { SlidersH } from '@/app/components/base/icons/src/vender/line/mediaAndDevices' import { Brush01 } from '@/app/components/base/icons/src/vender/solid/editor' import { Scales02 } from '@/app/components/base/icons/src/vender/solid/FinanceAndECommerce' import { Target04 } from '@/app/components/base/icons/src/vender/solid/general' import { TONE_LIST } from '@/config' +import cn from '@/utils/classnames' type PresetsParameterProps = { onSelect: (toneId: number) => void @@ -18,19 +19,16 @@ const PresetsParameter: FC<PresetsParameterProps> = ({ const { t } = useTranslation() const renderTrigger = useCallback((open: boolean) => { return ( - <div - className={` - flex items-center px-[7px] h-7 rounded-md border-[0.5px] border-gray-200 shadow-xs - text-xs font-medium text-gray-700 cursor-pointer - ${open && 'bg-gray-100'} - `} + <Button + size={'small'} + variant={'secondary'} + className={cn(open && 'bg-state-base-hover')} > - <SlidersH className='mr-[5px] w-3.5 h-3.5 text-gray-500' /> {t('common.modelProvider.loadPresets')} - <RiArrowDownSLine className='ml-0.5 w-3.5 h-3.5 text-gray-500' /> - </div> + <RiArrowDownSLine className='ml-0.5 w-3.5 h-3.5' /> + </Button> ) - }, []) + }, [t]) const getToneIcon = (toneId: number) => { const className = 'mr-2 w-[14px] h-[14px]' const res = ({ diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/status-indicators.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/status-indicators.tsx new file mode 100644 index 00000000000000..9f3543a4753740 --- /dev/null +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/status-indicators.tsx @@ -0,0 +1,99 @@ +import Tooltip from '@/app/components/base/tooltip' +import Link from 'next/link' +import { SwitchPluginVersion } from '@/app/components/workflow/nodes/_base/components/switch-plugin-version' +import { useInstalledPluginList } from '@/service/use-plugins' +import { RiErrorWarningFill } from '@remixicon/react' + +type StatusIndicatorsProps = { + needsConfiguration: boolean + modelProvider: boolean + inModelList: boolean + disabled: boolean + pluginInfo: any + t: any +} + +const StatusIndicators = ({ needsConfiguration, modelProvider, inModelList, disabled, pluginInfo, t }: StatusIndicatorsProps) => { + const { data: pluginList } = useInstalledPluginList() + const renderTooltipContent = (title: string, description?: string, linkText?: string, linkHref?: string) => { + return ( + <div className='flex w-[240px] max-w-[240px] gap-1 flex-col px-1 py-1.5' onClick={e => e.stopPropagation()}> + <div className='text-text-primary title-xs-semi-bold'>{title}</div> + {description && ( + <div className='min-w-[200px] text-text-secondary body-xs-regular'> + {description} + </div> + )} + {linkText && linkHref && ( + <div className='text-text-accent body-xs-regular cursor-pointer z-[100]'> + <Link + href={linkHref} + onClick={(e) => { + e.stopPropagation() + }} + > + {linkText} + </Link> + </div> + )} + </div> + ) + } + // const installedPluginUniqueIdentifier = pluginList?.plugins.find(plugin => plugin.name === pluginInfo.name)?.plugin_unique_identifier + return ( + <> + {/* plugin installed and model is in model list but disabled */} + {/* plugin installed from github/local and model is not in model list */} + {!needsConfiguration && modelProvider && disabled && ( + <> + {inModelList ? ( + <Tooltip + popupContent={t('workflow.nodes.agent.modelSelectorTooltips.deprecated')} + asChild={false} + needsDelay={false} + > + <RiErrorWarningFill className='w-4 h-4 text-text-destructive' /> + </Tooltip> + ) : !pluginInfo ? ( + <Tooltip + popupContent={renderTooltipContent( + t('workflow.nodes.agent.modelNotSupport.title'), + t('workflow.nodes.agent.modelNotSupport.desc'), + t('workflow.nodes.agent.linkToPlugin'), + '/plugins', + )} + asChild={false} + needsDelay={true} + > + <RiErrorWarningFill className='w-4 h-4 text-text-destructive' /> + </Tooltip> + ) : ( + <SwitchPluginVersion + tooltip={renderTooltipContent( + t('workflow.nodes.agent.modelNotSupport.title'), + t('workflow.nodes.agent.modelNotSupport.descForVersionSwitch'), + )} + uniqueIdentifier={pluginList?.plugins.find(plugin => plugin.name === pluginInfo.name)?.plugin_unique_identifier ?? ''} + /> + )} + </> + )} + {!modelProvider && !pluginInfo && ( + <Tooltip + popupContent={renderTooltipContent( + t('workflow.nodes.agent.modelNotInMarketplace.title'), + t('workflow.nodes.agent.modelNotInMarketplace.desc'), + t('workflow.nodes.agent.linkToPlugin'), + '/plugins', + )} + asChild={false} + needsDelay + > + <RiErrorWarningFill className='w-4 h-4 text-text-destructive' /> + </Tooltip> + )} + </> + ) +} + +export default StatusIndicators diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/stop-sequence.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/stop-sequence.tsx deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx index 2f4552de0ba47e..44b774408f8b22 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger.tsx @@ -71,18 +71,16 @@ const Trigger: FC<TriggerProps> = ({ { currentModel && ( <ModelName - className='mr-1.5 text-gray-900' + className='mr-1.5 text-text-primary' modelItem={currentModel} showMode - modeClassName={cn(!isInWorkflow ? '!text-[#444CE7] !border-[#A4BCFD]' : '!text-gray-500 !border-black/8')} showFeatures - featuresClassName={cn(!isInWorkflow ? '!text-[#444CE7] !border-[#A4BCFD]' : '!text-gray-500 !border-black/8')} /> ) } { !currentModel && ( - <div className='mr-1 text-[13px] font-medium text-gray-900 truncate'> + <div className='mr-1 text-[13px] font-medium text-text-primary truncate'> {modelId} </div> ) @@ -103,10 +101,10 @@ const Trigger: FC<TriggerProps> = ({ </Tooltip> ) : ( - <SlidersH className={cn(!isInWorkflow ? 'text-indigo-600' : 'text-gray-500', 'shrink-0 w-4 h-4')} /> + <SlidersH className={cn(!isInWorkflow ? 'text-indigo-600' : 'text-text-tertiary', 'shrink-0 w-4 h-4')} /> ) } - {isInWorkflow && (<RiArrowDownSLine className='absolute top-[9px] right-2 w-3.5 h-3.5 text-gray-500' />)} + {isInWorkflow && (<RiArrowDownSLine className='absolute top-[9px] right-2 w-3.5 h-3.5 text-text-tertiary' />)} </div> ) } diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx index f40423d869617e..069e026b645384 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-selector/deprecated-model-trigger.tsx @@ -4,16 +4,21 @@ import ModelIcon from '../model-icon' import { AlertTriangle } from '@/app/components/base/icons/src/vender/line/alertsAndFeedback' import { useProviderContext } from '@/context/provider-context' import Tooltip from '@/app/components/base/tooltip' +import cn from '@/utils/classnames' type ModelTriggerProps = { modelName: string providerName: string className?: string + showWarnIcon?: boolean + contentClassName?: string } const ModelTrigger: FC<ModelTriggerProps> = ({ modelName, providerName, className, + showWarnIcon, + contentClassName, }) => { const { t } = useTranslation() const { modelProviders } = useProviderContext() @@ -21,23 +26,26 @@ const ModelTrigger: FC<ModelTriggerProps> = ({ return ( <div - className={` - group flex items-center px-2 h-8 rounded-lg bg-[#FFFAEB] cursor-pointer - ${className} - `} + className={cn('group flex flex-grow box-content items-center p-[3px] pl-1 h-8 gap-1 rounded-lg bg-components-input-bg-disabled cursor-pointer', className)} > - <ModelIcon - className='shrink-0 mr-1.5' - provider={currentProvider} - modelName={modelName} - /> - <div className='mr-1 text-[13px] font-medium text-gray-800 truncate'> - {modelName} - </div> - <div className='shrink-0 flex items-center justify-center w-4 h-4'> - <Tooltip popupContent={t('common.modelProvider.deprecated')}> - <AlertTriangle className='w-4 h-4 text-[#F79009]' /> - </Tooltip> + <div className={cn('flex items-center w-full', contentClassName)}> + <div className='flex items-center py-[1px] gap-1 min-w-0 flex-1'> + <ModelIcon + className="w-4 h-4" + provider={currentProvider} + modelName={modelName} + /> + <div className='system-sm-regular text-components-input-text-filled truncate'> + {modelName} + </div> + </div> + <div className='shrink-0 flex items-center justify-center'> + {showWarnIcon && ( + <Tooltip popupContent={t('common.modelProvider.deprecated')}> + <AlertTriangle className='w-4 h-4 text-text-warning-secondary' /> + </Tooltip> + )} + </div> </div> </div> ) diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx index 0c6d3efa39452d..b7c1b2dc59b568 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-selector/empty-trigger.tsx @@ -1,7 +1,8 @@ import type { FC } from 'react' -import { RiArrowDownSLine } from '@remixicon/react' +import { RiEqualizer2Line } from '@remixicon/react' import { CubeOutline } from '@/app/components/base/icons/src/vender/line/shapes' - +import cn from '@/utils/classnames' +import { useTranslation } from 'react-i18next' type ModelTriggerProps = { open: boolean className?: string @@ -10,27 +11,27 @@ const ModelTrigger: FC<ModelTriggerProps> = ({ open, className, }) => { + const { t } = useTranslation() return ( <div - className={` - flex items-center px-2 h-8 rounded-lg bg-gray-100 hover:bg-gray-200 cursor-pointer - ${className} - ${open && '!bg-gray-200'} - `} + className={cn( + 'flex items-center p-1 gap-0.5 rounded-lg bg-components-input-bg-normal hover:bg-components-input-bg-hover cursor-pointer', open && 'bg-components-input-bg-hover', + className, + )} > <div className='grow flex items-center'> - <div className='mr-1.5 flex items-center justify-center w-4 h-4 rounded-[5px] border border-dashed border-black/5'> - <CubeOutline className='w-3 h-3 text-gray-400' /> + <div className='mr-1.5 flex items-center justify-center w-4 h-4 rounded-[5px] border border-dashed border-divider-regular'> + <CubeOutline className='w-3 h-3 text-text-quaternary' /> </div> <div - className='text-[13px] text-gray-500 truncate' - title='Select model' + className='text-[13px] text-text-tertiary truncate' + title='Configure model' > - Select model + {t('plugin.detailPanel.configureModel')} </div> </div> <div className='shrink-0 flex items-center justify-center w-4 h-4'> - <RiArrowDownSLine className='w-3.5 h-3.5 text-gray-500' /> + <RiEqualizer2Line className='w-3.5 h-3.5 text-text-tertiary' /> </div> </div> ) diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx index 32bd58d31878b5..9c7a9788ef80a7 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-selector/feature-icon.tsx @@ -6,10 +6,13 @@ import { ModelFeatureTextEnum, } from '../declarations' import { + AudioSupportIcon, + DocumentSupportIcon, // MagicBox, MagicEyes, // MagicWand, // Robot, + VideoSupportIcon, } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices' import Tooltip from '@/app/components/base/tooltip' @@ -65,7 +68,7 @@ const FeatureIcon: FC<FeatureIconProps> = ({ popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.vision })} > <div className='inline-block cursor-help'> - <ModelBadge className={`mr-0.5 !px-0 w-[18px] justify-center text-gray-500 ${className}`}> + <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}> <MagicEyes className='w-3 h-3' /> </ModelBadge> </div> @@ -73,6 +76,48 @@ const FeatureIcon: FC<FeatureIconProps> = ({ ) } + if (feature === ModelFeatureEnum.document) { + return ( + <Tooltip + popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.document })} + > + <div className='inline-block cursor-help'> + <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}> + <DocumentSupportIcon className='w-3 h-3' /> + </ModelBadge> + </div> + </Tooltip> + ) + } + + if (feature === ModelFeatureEnum.audio) { + return ( + <Tooltip + popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.audio })} + > + <div className='inline-block cursor-help'> + <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}> + <AudioSupportIcon className='w-3 h-3' /> + </ModelBadge> + </div> + </Tooltip> + ) + } + + if (feature === ModelFeatureEnum.video) { + return ( + <Tooltip + popupContent={t('common.modelProvider.featureSupported', { feature: ModelFeatureTextEnum.video })} + > + <div className='inline-block cursor-help'> + <ModelBadge className={`!px-0 w-[18px] justify-center text-text-tertiary ${className}`}> + <VideoSupportIcon className='w-3 h-3' /> + </ModelBadge> + </div> + </Tooltip> + ) + } + return null } diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx index c6dd76a04fdedf..d28959a509be49 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-selector/index.tsx @@ -15,6 +15,7 @@ import { PortalToFollowElemContent, PortalToFollowElemTrigger, } from '@/app/components/base/portal-to-follow-elem' +import classNames from '@/utils/classnames' type ModelSelectorProps = { defaultModel?: DefaultModel @@ -23,6 +24,9 @@ type ModelSelectorProps = { popupClassName?: string onSelect?: (model: DefaultModel) => void readonly?: boolean + scopeFeatures?: string[] + deprecatedClassName?: string + showDeprecatedWarnIcon?: boolean } const ModelSelector: FC<ModelSelectorProps> = ({ defaultModel, @@ -31,6 +35,9 @@ const ModelSelector: FC<ModelSelectorProps> = ({ popupClassName, onSelect, readonly, + scopeFeatures = [], + deprecatedClassName, + showDeprecatedWarnIcon = false, }) => { const [open, setOpen] = useState(false) const { @@ -62,7 +69,7 @@ const ModelSelector: FC<ModelSelectorProps> = ({ placement='bottom-start' offset={4} > - <div className='relative'> + <div className={classNames('relative')}> <PortalToFollowElemTrigger onClick={handleToggle} className='block' @@ -84,6 +91,8 @@ const ModelSelector: FC<ModelSelectorProps> = ({ modelName={defaultModel?.model || ''} providerName={defaultModel?.provider || ''} className={triggerClassName} + showWarnIcon={showDeprecatedWarnIcon} + contentClassName={deprecatedClassName} /> ) } @@ -101,6 +110,8 @@ const ModelSelector: FC<ModelSelectorProps> = ({ defaultModel={defaultModel} modelList={modelList} onSelect={handleSelect} + scopeFeatures={scopeFeatures} + onHide={() => setOpen(false)} /> </PortalToFollowElemContent> </div> diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx index 556a2ef66f33a3..009887acd70e09 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-selector/model-trigger.tsx @@ -13,7 +13,7 @@ import ModelIcon from '../model-icon' import ModelName from '../model-name' import { AlertTriangle } from '@/app/components/base/icons/src/vender/line/alertsAndFeedback' import Tooltip from '@/app/components/base/tooltip' -import classNames from '@/utils/classnames' +import cn from '@/utils/classnames' type ModelTriggerProps = { open: boolean @@ -33,42 +33,44 @@ const ModelTrigger: FC<ModelTriggerProps> = ({ return ( <div - className={classNames( - 'group flex items-center px-2 h-8 rounded-lg bg-components-input-bg-normal', + className={cn( + 'group flex items-center p-1 h-8 gap-0.5 rounded-lg bg-components-input-bg-normal', !readonly && 'hover:bg-components-input-bg-hover cursor-pointer', + open && 'bg-components-input-bg-hover', + model.status !== ModelStatusEnum.active && 'bg-components-input-bg-disabled hover:bg-components-input-bg-disabled', className, - open && '!bg-components-input-bg-hover', - model.status !== ModelStatusEnum.active && '!bg-[#FFFAEB]', )} > <ModelIcon - className='shrink-0 mr-1.5' + className='p-0.5' provider={provider} modelName={model.model} /> - <ModelName - className='grow' - modelItem={model} - showMode - showFeatures - /> - {!readonly && ( - <div className='shrink-0 flex items-center justify-center w-4 h-4'> - { - model.status !== ModelStatusEnum.active - ? ( - <Tooltip popupContent={MODEL_STATUS_TEXT[model.status][language]}> - <AlertTriangle className='w-4 h-4 text-[#F79009]' /> - </Tooltip> - ) - : ( - <RiArrowDownSLine - className='w-3.5 h-3.5 text-gray-500' - /> - ) - } - </div> - )} + <div className='flex px-1 py-[3px] items-center gap-1 grow truncate'> + <ModelName + className='grow' + modelItem={model} + showMode + showFeatures + /> + {!readonly && ( + <div className='shrink-0 flex items-center justify-center w-4 h-4'> + { + model.status !== ModelStatusEnum.active + ? ( + <Tooltip popupContent={MODEL_STATUS_TEXT[model.status][language]}> + <AlertTriangle className='w-4 h-4 text-text-warning-secondary' /> + </Tooltip> + ) + : ( + <RiArrowDownSLine + className='w-3.5 h-3.5 text-text-tertiary' + /> + ) + } + </div> + )} + </div> </div> ) } diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx index d62131ac4c96fb..d9cdb264315783 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-selector/popup-item.tsx @@ -1,10 +1,25 @@ import type { FC } from 'react' import { useTranslation } from 'react-i18next' +import { + RiFileTextLine, + RiFilmAiLine, + RiImageCircleAiLine, + RiVoiceAiFill, +} from '@remixicon/react' import type { DefaultModel, Model, ModelItem, } from '../declarations' +import { + ModelFeatureEnum, + ModelFeatureTextEnum, + ModelTypeEnum, +} from '../declarations' +import { + modelTypeFormat, + sizeFormat, +} from '../utils' import { useLanguage, useUpdateModelList, @@ -12,15 +27,16 @@ import { } from '../hooks' import ModelIcon from '../model-icon' import ModelName from '../model-name' +import ModelBadge from '../model-badge' import { ConfigurationMethodEnum, - MODEL_STATUS_TEXT, ModelStatusEnum, } from '../declarations' import { Check } from '@/app/components/base/icons/src/vender/line/general' import { useModalContext } from '@/context/modal-context' import { useProviderContext } from '@/context/provider-context' import Tooltip from '@/app/components/base/tooltip' +import cn from '@/utils/classnames' type PopupItemProps = { defaultModel?: DefaultModel @@ -64,50 +80,104 @@ const PopupItem: FC<PopupItemProps> = ({ return ( <div className='mb-1'> - <div className='flex items-center px-3 h-[22px] text-xs font-medium text-gray-500'> + <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'> {model.label[language] || model.label.en_US} </div> { model.models.map(modelItem => ( <Tooltip key={modelItem.model} - popupContent={modelItem.status !== ModelStatusEnum.active ? MODEL_STATUS_TEXT[modelItem.status][language] : undefined} position='right' + popupClassName='p-3 !w-[206px] bg-components-panel-bg-blur backdrop-blur-sm border-[0.5px] border-components-panel-border rounded-xl' + popupContent={ + <div className='flex flex-col gap-1'> + <div className='flex flex-col items-start gap-2'> + <ModelIcon + className={cn('shrink-0 w-5 h-5')} + provider={model} + modelName={modelItem.model} + /> + <div className='truncate text-text-primary system-md-medium'>{modelItem.label[language] || modelItem.label.en_US}</div> + </div> + {/* {currentProvider?.description && ( + <div className='text-text-tertiary system-xs-regular'>{currentProvider?.description?.[language] || currentProvider?.description?.en_US}</div> + )} */} + <div className='flex flex-wrap gap-1'> + {modelItem.model_type && ( + <ModelBadge> + {modelTypeFormat(modelItem.model_type)} + </ModelBadge> + )} + {modelItem.model_properties.mode && ( + <ModelBadge> + {(modelItem.model_properties.mode as string).toLocaleUpperCase()} + </ModelBadge> + )} + {modelItem.model_properties.context_size && ( + <ModelBadge> + {sizeFormat(modelItem.model_properties.context_size as number)} + </ModelBadge> + )} + </div> + {modelItem.model_type === ModelTypeEnum.textGeneration && modelItem.features?.some(feature => [ModelFeatureEnum.vision, ModelFeatureEnum.audio, ModelFeatureEnum.video, ModelFeatureEnum.document].includes(feature)) && ( + <div className='pt-2'> + <div className='mb-1 text-text-tertiary system-2xs-medium-uppercase'>{t('common.model.capabilities')}</div> + <div className='flex flex-wrap gap-1'> + {modelItem.features?.includes(ModelFeatureEnum.vision) && ( + <ModelBadge> + <RiImageCircleAiLine className='w-3.5 h-3.5 mr-0.5' /> + <span>{ModelFeatureTextEnum.vision}</span> + </ModelBadge> + )} + {modelItem.features?.includes(ModelFeatureEnum.audio) && ( + <ModelBadge> + <RiVoiceAiFill className='w-3.5 h-3.5 mr-0.5' /> + <span>{ModelFeatureTextEnum.audio}</span> + </ModelBadge> + )} + {modelItem.features?.includes(ModelFeatureEnum.video) && ( + <ModelBadge> + <RiFilmAiLine className='w-3.5 h-3.5 mr-0.5' /> + <span>{ModelFeatureTextEnum.video}</span> + </ModelBadge> + )} + {modelItem.features?.includes(ModelFeatureEnum.document) && ( + <ModelBadge> + <RiFileTextLine className='w-3.5 h-3.5 mr-0.5' /> + <span>{ModelFeatureTextEnum.document}</span> + </ModelBadge> + )} + </div> + </div> + )} + </div> + } > <div key={modelItem.model} - className={` - group relative flex items-center px-3 py-1.5 h-8 rounded-lg - ${modelItem.status === ModelStatusEnum.active ? 'cursor-pointer hover:bg-gray-50' : 'cursor-not-allowed hover:bg-gray-50/60'} - `} + className={cn('group relative flex items-center px-3 py-1.5 h-8 rounded-lg gap-1', modelItem.status === ModelStatusEnum.active ? 'cursor-pointer hover:bg-state-base-hover' : 'cursor-not-allowed hover:bg-state-base-hover-alt')} onClick={() => handleSelect(model.provider, modelItem)} > - <ModelIcon - className={` - shrink-0 mr-2 w-4 h-4 - ${modelItem.status !== ModelStatusEnum.active && 'opacity-60'} - `} - provider={model} - modelName={modelItem.model} - /> - <ModelName - className={` - grow text-sm font-normal text-gray-900 - ${modelItem.status !== ModelStatusEnum.active && 'opacity-60'} - `} - modelItem={modelItem} - showMode - showFeatures - /> + <div className='flex items-center gap-2'> + <ModelIcon + className={cn('shrink-0 w-5 h-5')} + provider={model} + modelName={modelItem.model} + /> + <ModelName + className={cn('text-text-secondary system-sm-medium', modelItem.status !== ModelStatusEnum.active && 'opacity-60')} + modelItem={modelItem} + /> + </div> { defaultModel?.model === modelItem.model && defaultModel.provider === currentProvider.provider && ( - <Check className='shrink-0 w-4 h-4 text-primary-600' /> + <Check className='shrink-0 w-4 h-4 text-text-accent' /> ) } { modelItem.status === ModelStatusEnum.noConfigure && ( <div - className='hidden group-hover:block text-xs font-medium text-primary-600 cursor-pointer' + className='hidden group-hover:block text-xs font-medium text-text-accent cursor-pointer' onClick={handleOpenModelModal} > {t('common.operation.add').toLocaleUpperCase()} diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx index 1e43439d157550..8de3cbd720c4fe 100644 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx +++ b/web/app/components/header/account-setting/model-provider-page/model-selector/popup.tsx @@ -1,6 +1,8 @@ import type { FC } from 'react' -import { useState } from 'react' +import { useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' import { + RiArrowRightUpLine, RiSearchLine, } from '@remixicon/react' import type { @@ -8,51 +10,69 @@ import type { Model, ModelItem, } from '../declarations' +import { ModelFeatureEnum } from '../declarations' import { useLanguage } from '../hooks' import PopupItem from './popup-item' import { XCircle } from '@/app/components/base/icons/src/vender/solid/general' +import { useModalContext } from '@/context/modal-context' type PopupProps = { defaultModel?: DefaultModel modelList: Model[] onSelect: (provider: string, model: ModelItem) => void + scopeFeatures?: string[] + onHide: () => void } const Popup: FC<PopupProps> = ({ defaultModel, modelList, onSelect, + scopeFeatures = [], + onHide, }) => { + const { t } = useTranslation() const language = useLanguage() const [searchText, setSearchText] = useState('') + const { setShowAccountSettingModal } = useModalContext() - const filteredModelList = modelList.map((model) => { - const filteredModels = model.models.filter((modelItem) => { - if (modelItem.label[language] !== undefined) - return modelItem.label[language].toLowerCase().includes(searchText.toLowerCase()) - - return Object.values(modelItem.label).some(label => - label.toLowerCase().includes(searchText.toLowerCase()), - ) - }) - - return { ...model, models: filteredModels } - }).filter(model => model.models.length > 0) + const filteredModelList = useMemo(() => { + return modelList.map((model) => { + const filteredModels = model.models + .filter((modelItem) => { + if (modelItem.label[language] !== undefined) + return modelItem.label[language].toLowerCase().includes(searchText.toLowerCase()) + return Object.values(modelItem.label).some(label => + label.toLowerCase().includes(searchText.toLowerCase()), + ) + }) + .filter((modelItem) => { + if (scopeFeatures.length === 0) + return true + return scopeFeatures.every((feature) => { + if (feature === ModelFeatureEnum.toolCall) + return modelItem.features?.some(featureItem => featureItem === ModelFeatureEnum.toolCall || featureItem === ModelFeatureEnum.multiToolCall) + return modelItem.features?.some(featureItem => featureItem === feature) + }) + }) + return { ...model, models: filteredModels } + }).filter(model => model.models.length > 0) + }, [language, modelList, scopeFeatures, searchText]) return ( - <div className='w-[320px] max-h-[480px] rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg overflow-y-auto'> - <div className='sticky top-0 pl-3 pt-3 pr-2 pb-1 bg-white z-10'> + <div className='w-[320px] max-h-[480px] rounded-lg border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg overflow-y-auto'> + <div className='sticky top-0 pl-3 pt-3 pr-2 pb-1 bg-components-panel-bg z-10'> <div className={` flex items-center pl-[9px] pr-[10px] h-8 rounded-lg border - ${searchText ? 'bg-white border-gray-300 shadow-xs' : 'bg-gray-100 border-transparent'} + ${searchText ? 'bg-components-input-bg-active border-components-input-border-active shadow-xs' : 'bg-components-input-bg-normal border-transparent'} `}> <RiSearchLine className={` shrink-0 mr-[7px] w-[14px] h-[14px] - ${searchText ? 'text-gray-500' : 'text-gray-400'} + ${searchText ? 'text-text-tertiary' : 'text-text-quaternary'} `} /> <input - className='block grow h-[18px] text-[13px] appearance-none outline-none bg-transparent' + className='block grow h-[18px] text-[13px] text-text-primary appearance-none outline-none bg-transparent' placeholder='Search model' value={searchText} onChange={e => setSearchText(e.target.value)} @@ -60,7 +80,7 @@ const Popup: FC<PopupProps> = ({ { searchText && ( <XCircle - className='shrink-0 ml-1.5 w-[14px] h-[14px] text-gray-400 cursor-pointer' + className='shrink-0 ml-1.5 w-[14px] h-[14px] text-text-quaternary cursor-pointer' onClick={() => setSearchText('')} /> ) @@ -80,12 +100,19 @@ const Popup: FC<PopupProps> = ({ } { !filteredModelList.length && ( - <div className='px-3 py-1.5 leading-[18px] text-center text-xs text-gray-500 break-all'> + <div className='px-3 py-1.5 leading-[18px] text-center text-xs text-text-tertiary break-all'> {`No model found for “${searchText}”`} </div> ) } </div> + <div className='sticky bottom-0 px-4 py-2 flex items-center border-t border-divider-subtle cursor-pointer text-text-accent-light-mode-only bg-components-panel-bg rounded-b-lg' onClick={() => { + onHide() + setShowAccountSettingModal({ payload: 'provider' }) + }}> + <span className='system-xs-medium'>{t('common.model.settingsLink')}</span> + <RiArrowRightUpLine className='ml-0.5 w-3 h-3' /> + </div> </div> ) } diff --git a/web/app/components/header/account-setting/model-provider-page/model-selector/rerank-trigger.tsx b/web/app/components/header/account-setting/model-provider-page/model-selector/rerank-trigger.tsx deleted file mode 100644 index 29afca1196021a..00000000000000 --- a/web/app/components/header/account-setting/model-provider-page/model-selector/rerank-trigger.tsx +++ /dev/null @@ -1,27 +0,0 @@ -import { - RiExternalLinkLine, -} from '@remixicon/react' -import { CubeOutline } from '@/app/components/base/icons/src/vender/line/shapes' - -const ModelTrigger = () => { - return ( - <div className='flex items-center px-2 h-8 rounded-lg bg-gray-100 hover:bg-gray-200 cursor-pointer'> - <div className='grow flex items-center'> - <div className='mr-1.5 flex items-center justify-center w-4 h-4 rounded-[5px] border-dashed border-black/5'> - <CubeOutline className='w-[11px] h-[11px] text-gray-400' /> - </div> - <div - className='text-[13px] text-gray-500 truncate' - title='Select model' - > - Please setup the Rerank model - </div> - </div> - <div className='shrink-0 flex items-center justify-center w-4 h-4'> - <RiExternalLinkLine className='w-3.5 h-3.5 text-gray-500' /> - </div> - </div> - ) -} - -export default ModelTrigger diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx index cc8fa67efcc564..410ab1c090c085 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/add-model-button.tsx @@ -1,6 +1,7 @@ import type { FC } from 'react' import { useTranslation } from 'react-i18next' import { PlusCircle } from '@/app/components/base/icons/src/vender/solid/general' +import cn from '@/utils/classnames' type AddModelButtonProps = { className?: string @@ -14,10 +15,7 @@ const AddModelButton: FC<AddModelButtonProps> = ({ return ( <span - className={` - shrink-0 flex items-center px-1.5 h-6 text-xs font-medium text-gray-500 cursor-pointer - hover:bg-primary-50 hover:text-primary-600 rounded-md ${className} - `} + className={cn('shrink-0 flex items-center px-1.5 h-6 text-text-tertiary system-xs-medium cursor-pointer hover:bg-components-button-ghost-bg-hover hover:text-components-button-ghost-text rounded-md', className)} onClick={onClick} > <PlusCircle className='mr-1 w-3 h-3' /> diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx index bdf93fe5275f7c..a21483c29f32c6 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/cooldown-timer.tsx @@ -19,10 +19,10 @@ const CooldownTimer = ({ secondsRemaining, onFinish }: CooldownTimerProps) => { [currentTime], ) - const countdownTimeout = useRef<NodeJS.Timeout>() + const countdownTimeout = useRef<number>(undefined) const clearCountdown = useCallback(() => { if (countdownTimeout.current) { - clearTimeout(countdownTimeout.current) + window.clearTimeout(countdownTimeout.current) countdownTimeout.current = undefined } }, []) @@ -31,7 +31,7 @@ const CooldownTimer = ({ secondsRemaining, onFinish }: CooldownTimerProps) => { const countdown = useCallback(() => { clearCountdown() - countdownTimeout.current = setTimeout(() => { + countdownTimeout.current = window.setTimeout(() => { const now = Date.now() if (now <= targetTime.current) { setCurrentTime(Date.now()) diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx index f141e0018c9498..f43b5359ab6395 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/credential-panel.tsx @@ -1,5 +1,6 @@ import type { FC } from 'react' import { useTranslation } from 'react-i18next' +import { RiEqualizer2Line } from '@remixicon/react' import type { ModelProvider } from '../declarations' import { ConfigurationMethodEnum, @@ -14,7 +15,6 @@ import PrioritySelector from './priority-selector' import PriorityUseTip from './priority-use-tip' import { UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST } from './index' import Indicator from '@/app/components/header/indicator' -import { Settings01 } from '@/app/components/base/icons/src/vender/line/general' import Button from '@/app/components/base/button' import { changeModelProviderPriority } from '@/service/common' import { useToastContext } from '@/app/components/base/toast' @@ -66,10 +66,10 @@ const CredentialPanel: FC<CredentialPanelProps> = ({ <> { provider.provider_credential_schema && ( - <div className='shrink-0 relative ml-1 p-1 w-[112px] rounded-lg bg-white/[0.3] border-[0.5px] border-black/5'> - <div className='flex items-center justify-between mb-1 pt-1 pl-2 pr-[7px] h-5 text-xs font-medium text-gray-500'> + <div className='shrink-0 relative ml-1 p-1 w-[112px] rounded-lg bg-white/[0.18] border-[0.5px] border-components-panel-border'> + <div className='flex items-center justify-between mb-1 pt-1 pl-2 pr-[7px] h-5 system-xs-medium-uppercase text-text-tertiary'> API-KEY - <Indicator color={isCustomConfigured ? 'green' : 'gray'} /> + <Indicator color={isCustomConfigured ? 'green' : 'red'} /> </div> <div className='flex items-center gap-0.5'> <Button @@ -77,7 +77,7 @@ const CredentialPanel: FC<CredentialPanelProps> = ({ size='small' onClick={onSetup} > - <Settings01 className='mr-1 w-3 h-3' /> + <RiEqualizer2Line className='mr-1 w-3.5 h-3.5' /> {t('common.operation.setup')} </Button> { diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx index 5e73b36c425dc2..a3dddf94354bf1 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/index.tsx @@ -2,6 +2,8 @@ import type { FC } from 'react' import { useState } from 'react' import { useTranslation } from 'react-i18next' import { + RiArrowRightSLine, + RiInformation2Fill, RiLoader2Line, } from '@remixicon/react' import type { @@ -11,7 +13,6 @@ import type { } from '../declarations' import { ConfigurationMethodEnum } from '../declarations' import { - DEFAULT_BACKGROUND_COLOR, MODEL_PROVIDER_QUOTA_GET_PAID, modelTypeFormat, } from '../utils' @@ -21,18 +22,20 @@ import CredentialPanel from './credential-panel' import QuotaPanel from './quota-panel' import ModelList from './model-list' import AddModelButton from './add-model-button' -import { ChevronDownDouble } from '@/app/components/base/icons/src/vender/line/arrows' import { fetchModelProviderModelList } from '@/service/common' import { useEventEmitterContextContext } from '@/context/event-emitter' import { IS_CE_EDITION } from '@/config' import { useAppContext } from '@/context/app-context' +import cn from '@/utils/classnames' export const UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST = 'UPDATE_MODEL_PROVIDER_CUSTOM_MODEL_LIST' type ProviderAddedCardProps = { + notConfigured?: boolean provider: ModelProvider onOpenModal: (configurationMethod: ConfigurationMethodEnum, currentCustomConfigurationModelFixedFields?: CustomConfigurationModelFixedFields) => void } const ProviderAddedCard: FC<ProviderAddedCardProps> = ({ + notConfigured, provider, onOpenModal, }) => { @@ -47,6 +50,7 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({ const hasModelList = fetched && !!modelList.length const { isCurrentWorkspaceManager } = useAppContext() const showQuota = systemConfig.enabled && [...MODEL_PROVIDER_QUOTA_GET_PAID].includes(provider.provider) && !IS_CE_EDITION + const showCredential = configurationMethods.includes(ConfigurationMethodEnum.predefinedModel) && isCurrentWorkspaceManager const getModelList = async (providerName: string) => { if (loading) @@ -78,8 +82,11 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({ return ( <div - className='mb-2 rounded-xl border-[0.5px] border-black/5 shadow-xs' - style={{ background: provider.background || DEFAULT_BACKGROUND_COLOR }} + className={cn( + 'mb-2 rounded-xl border-[0.5px] border-divider-regular shadow-xs bg-third-party-model-bg-default', + provider.provider === 'langgenius/openai/openai' && 'bg-third-party-model-bg-openai', + provider.provider === 'langgenius/anthropic/anthropic' && 'bg-third-party-model-bg-anthropic', + )} > <div className='flex pl-3 py-2 pr-2 rounded-t-xl'> <div className='grow px-1 pt-1 pb-0.5'> @@ -105,7 +112,7 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({ ) } { - configurationMethods.includes(ConfigurationMethodEnum.predefinedModel) && isCurrentWorkspaceManager && ( + showCredential && ( <CredentialPanel onSetup={() => onOpenModal(ConfigurationMethodEnum.predefinedModel)} provider={provider} @@ -115,35 +122,46 @@ const ProviderAddedCard: FC<ProviderAddedCardProps> = ({ </div> { collapsed && ( - <div className='group flex items-center justify-between pl-2 py-1.5 pr-[11px] border-t border-t-black/5 bg-white/30 text-xs font-medium text-gray-500'> - <div className='group-hover:hidden pl-1 pr-1.5 h-6 leading-6'> - { - hasModelList - ? t('common.modelProvider.modelsNum', { num: modelList.length }) - : t('common.modelProvider.showModels') - } - </div> - <div - className='hidden group-hover:flex items-center pl-1 pr-1.5 h-6 rounded-lg hover:bg-white cursor-pointer' - onClick={handleOpenModelList} - > - <ChevronDownDouble className='mr-0.5 w-3 h-3' /> - { - hasModelList - ? t('common.modelProvider.showModelsNum', { num: modelList.length }) - : t('common.modelProvider.showModels') - } - { - loading && ( - <RiLoader2Line className='ml-0.5 animate-spin w-3 h-3' /> - ) - } - </div> + <div className='group flex items-center justify-between pl-2 py-1.5 pr-[11px] border-t border-t-divider-subtle text-text-tertiary system-xs-medium'> + {(showQuota || !notConfigured) && ( + <> + <div className='group-hover:hidden flex items-center pl-1 pr-1.5 h-6 leading-6'> + { + hasModelList + ? t('common.modelProvider.modelsNum', { num: modelList.length }) + : t('common.modelProvider.showModels') + } + {!loading && <RiArrowRightSLine className='w-4 h-4' />} + </div> + <div + className='hidden group-hover:flex items-center pl-1 pr-1.5 h-6 rounded-lg hover:bg-components-button-ghost-bg-hover cursor-pointer' + onClick={handleOpenModelList} + > + { + hasModelList + ? t('common.modelProvider.showModelsNum', { num: modelList.length }) + : t('common.modelProvider.showModels') + } + {!loading && <RiArrowRightSLine className='w-4 h-4' />} + { + loading && ( + <RiLoader2Line className='ml-0.5 animate-spin w-3 h-3' /> + ) + } + </div> + </> + )} + {!showQuota && notConfigured && ( + <div className='flex items-center pl-1 pr-1.5 h-6'> + <RiInformation2Fill className='mr-1 w-4 h-4 text-text-accent' /> + <span className='text-text-secondary system-xs-medium'>{t('common.modelProvider.configureTip')}</span> + </div> + )} { configurationMethods.includes(ConfigurationMethodEnum.customizableModel) && isCurrentWorkspaceManager && ( <AddModelButton onClick={() => onOpenModal(ConfigurationMethodEnum.customizableModel)} - className='hidden group-hover:flex group-hover:text-primary-600' + className='flex' /> ) } diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx index 3fc73a62b26e86..6c4a3f575ec8b0 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list-item.tsx @@ -49,7 +49,7 @@ const ModelListItem = ({ model, provider, isConfigurable, onConfig, onModifyLoad key={model.model} className={classNames( 'group flex items-center pl-2 pr-2.5 h-8 rounded-lg', - isConfigurable && 'hover:bg-gray-50', + isConfigurable && 'hover:bg-components-panel-on-panel-item-bg-hover', model.deprecated && 'opacity-60', )} > @@ -59,14 +59,14 @@ const ModelListItem = ({ model, provider, isConfigurable, onConfig, onModifyLoad modelName={model.model} /> <ModelName - className='grow text-sm font-normal text-gray-900' + className='grow system-md-regular text-text-secondary' modelItem={model} showModelType showMode showContextSize > {modelLoadBalancingEnabled && !model.deprecated && model.load_balancing_enabled && ( - <ModelBadge className='ml-1 uppercase text-indigo-600 border-indigo-300'> + <ModelBadge className='ml-1 uppercase text-text-accent-secondary border-text-accent-secondary'> <Balance className='w-3 h-3 mr-0.5' /> {t('common.modelProvider.loadBalancingHeadline')} </ModelBadge> @@ -77,20 +77,22 @@ const ModelListItem = ({ model, provider, isConfigurable, onConfig, onModifyLoad model.fetch_from === ConfigurationMethodEnum.customizableModel ? (isCurrentWorkspaceManager && ( <Button - className='hidden group-hover:flex h-7' + size='small' + className='hidden group-hover:flex' onClick={() => onConfig({ __model_name: model.model, __model_type: model.model_type })} > - <Settings01 className='mr-[5px] w-3.5 h-3.5' /> + <Settings01 className='mr-1 w-3.5 h-3.5' /> {t('common.modelProvider.config')} </Button> )) : (isCurrentWorkspaceManager && (modelLoadBalancingEnabled || plan.type === Plan.sandbox) && !model.deprecated && [ModelStatusEnum.active, ModelStatusEnum.disabled].includes(model.status)) ? ( <Button - className='opacity-0 group-hover:opacity-100 h-[28px] transition-opacity' + size='small' + className='opacity-0 group-hover:opacity-100 transition-opacity' onClick={() => onModifyLoadBalancing?.(model)} > - <Balance className='mr-1 w-[14px] h-[14px]' /> + <Balance className='mr-1 w-3.5 h-3.5' /> {t('common.modelProvider.configLoadBalancing')} </Button> ) diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx index e321d4076dbf59..b4b331c4bcd002 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-list.tsx @@ -1,6 +1,9 @@ import type { FC } from 'react' import { useCallback } from 'react' import { useTranslation } from 'react-i18next' +import { + RiArrowRightSLine, +} from '@remixicon/react' import type { CustomConfigurationModelFixedFields, ModelItem, @@ -12,7 +15,6 @@ import { // import Tab from './tab' import AddModelButton from './add-model-button' import ModelListItem from './model-list-item' -import { ChevronDownDouble } from '@/app/components/base/icons/src/vender/line/arrows' import { useModalContextSelector } from '@/context/modal-context' import { useAppContext } from '@/context/app-context' @@ -48,18 +50,19 @@ const ModelList: FC<ModelListProps> = ({ return ( <div className='px-2 pb-2 rounded-b-xl'> - <div className='py-1 bg-white rounded-lg'> + <div className='py-1 bg-components-panel-bg rounded-lg'> <div className='flex items-center pl-1 pr-[3px]'> <span className='group shrink-0 flex items-center mr-2'> - <span className='group-hover:hidden pl-1 pr-1.5 h-6 leading-6 text-xs font-medium text-gray-500'> + <span className='group-hover:hidden inline-flex items-center pl-1 pr-1.5 h-6 system-xs-medium text-text-tertiary'> {t('common.modelProvider.modelsNum', { num: models.length })} + <RiArrowRightSLine className='mr-0.5 w-4 h-4 rotate-90' /> </span> <span - className='hidden group-hover:inline-flex items-center pl-1 pr-1.5 h-6 text-xs font-medium text-gray-500 bg-gray-50 cursor-pointer rounded-lg' + className='hidden group-hover:inline-flex items-center pl-1 pr-1.5 h-6 system-xs-medium text-text-tertiary bg-state-base-hover cursor-pointer rounded-lg' onClick={() => onCollapse()} > - <ChevronDownDouble className='mr-0.5 w-3 h-3 rotate-180' /> - {t('common.modelProvider.collapse')} + {t('common.modelProvider.modelsNum', { num: models.length })} + <RiArrowRightSLine className='mr-0.5 w-4 h-4 rotate-90' /> </span> </span> {/* { diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx index 94184076fdde11..2d5cf262576f33 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-configs.tsx @@ -145,19 +145,19 @@ const ModelLoadBalancingConfigs = ({ <> <div className={classNames( - 'min-h-16 bg-gray-50 border rounded-xl transition-colors', - (withSwitch || !draftConfig.enabled) ? 'border-gray-200' : 'border-primary-400', + 'min-h-16 bg-components-panel-bg border rounded-xl transition-colors', + (withSwitch || !draftConfig.enabled) ? 'border-components-panel-border' : 'border-util-colors-blue-blue-600', (withSwitch || draftConfig.enabled) ? 'cursor-default' : 'cursor-pointer', className, )} onClick={(!withSwitch && !draftConfig.enabled) ? () => toggleModalBalancing(true) : undefined} > <div className='flex items-center px-[15px] py-3 gap-2 select-none'> - <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 text-primary-600 bg-indigo-50 border border-indigo-100 rounded-lg'> + <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 text-util-colors-blue-blue-600 bg-util-colors-indigo-indigo-50 border border-util-colors-indigo-indigo-100 rounded-lg'> <Balance className='w-4 h-4' /> </div> <div className='grow'> - <div className='flex items-center gap-1 text-sm'> + <div className='flex items-center gap-1 text-sm text-text-primary'> {t('common.modelProvider.loadBalancing')} <Tooltip popupContent={t('common.modelProvider.loadBalancingInfo')} @@ -165,7 +165,7 @@ const ModelLoadBalancingConfigs = ({ triggerClassName='w-3 h-3' /> </div> - <div className='text-xs text-gray-500'>{t('common.modelProvider.loadBalancingDescription')}</div> + <div className='text-xs text-text-tertiary'>{t('common.modelProvider.loadBalancingDescription')}</div> </div> { withSwitch && ( @@ -184,7 +184,7 @@ const ModelLoadBalancingConfigs = ({ {draftConfig.configs.map((config, index) => { const isProviderManaged = config.name === '__inherit__' return ( - <div key={config.id || index} className='group flex items-center px-3 h-10 bg-white border border-gray-200 rounded-lg shadow-xs'> + <div key={config.id || index} className='group flex items-center px-3 h-10 bg-components-panel-on-panel-item-bg border border-components-panel-border rounded-lg shadow-xs'> <div className='grow flex items-center'> <div className='flex items-center justify-center mr-2 w-3 h-3'> {(config.in_cooldown && Boolean(config.ttl)) @@ -201,7 +201,7 @@ const ModelLoadBalancingConfigs = ({ {isProviderManaged ? t('common.modelProvider.defaultConfig') : config.name} </div> {isProviderManaged && ( - <span className='px-1 text-2xs uppercase text-gray-500 border border-black/8 rounded-[5px]'>{t('common.modelProvider.providerManaged')}</span> + <span className='px-1 text-2xs uppercase text-text-tertiary border border-divider-regular rounded-[5px]'>{t('common.modelProvider.providerManaged')}</span> )} </div> <div className='flex items-center gap-1'> @@ -209,18 +209,18 @@ const ModelLoadBalancingConfigs = ({ <> <div className='flex items-center gap-1 opacity-0 transition-opacity group-hover:opacity-100'> <span - className='flex items-center justify-center w-8 h-8 text-gray-500 bg-white rounded-lg transition-colors cursor-pointer hover:bg-black/5' + className='flex items-center justify-center w-8 h-8 text-text-tertiary bg-components-button-secondary-bg rounded-lg transition-colors cursor-pointer hover:bg-components-button-secondary-bg-hover' onClick={() => toggleEntryModal(index, config)} > <Edit02 className='w-4 h-4' /> </span> <span - className='flex items-center justify-center w-8 h-8 text-gray-500 bg-white rounded-lg transition-colors cursor-pointer hover:bg-black/5' + className='flex items-center justify-center w-8 h-8 text-text-tertiary bg-components-button-secondary-bg rounded-lg transition-colors cursor-pointer hover:bg-components-button-secondary-bg-hover' onClick={() => updateConfigEntry(index, () => undefined)} > <RiDeleteBinLine className='w-4 h-4' /> </span> - <span className='mr-2 h-3 border-r border-r-gray-100' /> + <span className='mr-2 h-3 border-r border-r-divider-subtle' /> </div> </> )} @@ -247,7 +247,7 @@ const ModelLoadBalancingConfigs = ({ )} { draftConfig.enabled && draftConfig.configs.length < 2 && ( - <div className='flex items-center px-6 h-[34px] text-xs text-gray-700 bg-black/2 border-t border-t-black/5'> + <div className='flex items-center px-6 h-[34px] text-xs text-text-secondary bg-components-panel-bg border-t border-t-divider-subtle'> <AlertTriangle className='mr-1 w-3 h-3 text-[#f79009]' /> {t('common.modelProvider.loadBalancingLeastKeyWarning')} </div> @@ -257,7 +257,7 @@ const ModelLoadBalancingConfigs = ({ {!modelLoadBalancingEnabled && !IS_CE_EDITION && ( <GridMask canvasClassName='!rounded-xl'> - <div className='flex items-center justify-between mt-2 px-4 h-14 border-[0.5px] border-gray-200 rounded-xl shadow-md'> + <div className='flex items-center justify-between mt-2 px-4 h-14 border-[0.5px] border-components-panel-border rounded-xl shadow-md'> <div className={classNames('text-sm font-semibold leading-tight text-gradient', s.textGradient)} > diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx index edbb4665e9ca42..bdc6b13c2c019b 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/model-load-balancing-modal.tsx @@ -119,7 +119,7 @@ const ModelLoadBalancingModal = ({ provider, model, open = false, onClose, onSav modelName={model!.model} /> <ModelName - className='grow text-sm font-normal text-gray-900' + className='grow system-md-regular text-text-secondary' modelItem={model!} showModelType showMode @@ -137,20 +137,20 @@ const ModelLoadBalancingModal = ({ provider, model, open = false, onClose, onSav <div className='py-2'> <div className={classNames( - 'min-h-16 bg-gray-50 border rounded-xl transition-colors', - draftConfig.enabled ? 'border-gray-200 cursor-pointer' : 'border-primary-400 cursor-default', + 'min-h-16 bg-components-panel-bg border rounded-xl transition-colors', + draftConfig.enabled ? 'border-components-panel-border cursor-pointer' : 'border-util-colors-blue-blue-600 cursor-default', )} onClick={draftConfig.enabled ? () => toggleModalBalancing(false) : undefined} > <div className='flex items-center px-[15px] py-3 gap-2 select-none'> - <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 bg-white border rounded-lg'> + <div className='grow-0 shrink-0 flex items-center justify-center w-8 h-8 bg-components-card-bg border border-components-card-border rounded-lg'> {Boolean(model) && ( <ModelIcon className='shrink-0' provider={provider} modelName={model!.model} /> )} </div> <div className='grow'> - <div className='text-sm'>{t('common.modelProvider.providerManaged')}</div> - <div className='text-xs text-gray-500'>{t('common.modelProvider.providerManagedDescription')}</div> + <div className='text-sm text-text-secondary'>{t('common.modelProvider.providerManaged')}</div> + <div className='text-xs text-text-tertiary'>{t('common.modelProvider.providerManagedDescription')}</div> </div> </div> </div> diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx index 7e44011eadd61f..e93c6636b548c4 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-selector.tsx @@ -8,6 +8,7 @@ import { } from '@remixicon/react' import { PreferredProviderTypeEnum } from '../declarations' import Button from '@/app/components/base/button' +import cn from '@/utils/classnames' type SelectorProps = { value?: string @@ -34,11 +35,11 @@ const Selector: FC<SelectorProps> = ({ <Popover.Button> { ({ open }) => ( - <Button className={` - px-0 w-6 h-6 bg-white rounded-md - ${open && '!bg-gray-100'} - `}> - <RiMoreFill className='w-3 h-3 text-gray-700' /> + <Button className={cn( + 'px-0 w-6 h-6 rounded-md', + open && 'bg-components-button-secondary-bg-hover', + )}> + <RiMoreFill className='w-3 h-3' /> </Button> ) } @@ -49,18 +50,18 @@ const Selector: FC<SelectorProps> = ({ leaveFrom='opacity-100' leaveTo='opacity-0' > - <Popover.Panel className='absolute top-7 right-0 w-[144px] bg-white border-[0.5px] border-gray-200 rounded-lg shadow-lg z-10'> + <Popover.Panel className='absolute top-7 right-0 w-[144px] bg-components-panel-bg border-[0.5px] border-components-panel-border rounded-lg shadow-lg z-10'> <div className='p-1'> - <div className='px-3 pt-2 pb-1 text-sm font-medium text-gray-700'>{t('common.modelProvider.card.priorityUse')}</div> + <div className='px-3 pt-2 pb-1 text-sm font-medium text-text-secondary'>{t('common.modelProvider.card.priorityUse')}</div> { options.map(option => ( <Popover.Button as={Fragment} key={option.key}> <div - className='flex items-center justify-between px-3 h-9 text-sm text-gray-700 rounded-lg cursor-pointer hover:bg-gray-50' + className='flex items-center justify-between px-3 h-9 text-sm text-text-secondary rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover' onClick={() => onSelect(option.key)} > <div className='grow'>{option.text}</div> - {value === option.key && <RiCheckLine className='w-4 h-4 text-primary-600' />} + {value === option.key && <RiCheckLine className='w-4 h-4 text-text-accent' />} </div> </Popover.Button> )) diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx index 24e91d2214c695..91e45ad1a3aa6d 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/priority-use-tip.tsx @@ -9,8 +9,8 @@ const PriorityUseTip = () => { <Tooltip popupContent={t('common.modelProvider.priorityUsing') || ''} > - <div className='absolute -right-[5px] -top-[5px] bg-indigo-50 rounded-[5px] border-[0.5px] border-indigo-100 cursor-pointer'> - <ChevronDownDouble className='rotate-180 w-3 h-3 text-indigo-600' /> + <div className='absolute -right-[5px] -top-[5px] bg-util-colors-indigo-indigo-50 rounded-[5px] border-[0.5px] border-components-panel-border-subtle shadow-xs cursor-pointer'> + <ChevronDownDouble className='rotate-180 w-3 h-3 text-util-colors-indigo-indigo-600' /> </div> </Tooltip> ) diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx index 0f5c265d52bff9..8d0ea83d655679 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-added-card/quota-panel.tsx @@ -28,8 +28,8 @@ const QuotaPanel: FC<QuotaPanelProps> = ({ const openaiOrAnthropic = MODEL_PROVIDER_QUOTA_GET_PAID.includes(provider.provider) return ( - <div className='group relative shrink-0 min-w-[112px] px-3 py-2 rounded-lg bg-white/[0.3] border-[0.5px] border-black/5'> - <div className='flex items-center mb-2 h-4 text-xs font-medium text-gray-500'> + <div className='group relative shrink-0 min-w-[112px] px-3 py-2 rounded-lg bg-white/[0.18] border-[0.5px] border-components-panel-border shadow-xs'> + <div className='flex items-center mb-2 h-4 system-xs-medium-uppercase text-text-tertiary'> {t('common.modelProvider.quota')} <Tooltip popupContent={ openaiOrAnthropic @@ -40,8 +40,8 @@ const QuotaPanel: FC<QuotaPanelProps> = ({ </div> { currentQuota && ( - <div className='flex items-center h-4 text-xs text-gray-500'> - <span className='mr-0.5 text-sm font-semibold text-gray-700'>{formatNumber((currentQuota?.quota_limit || 0) - (currentQuota?.quota_used || 0))}</span> + <div className='flex items-center h-4 text-xs text-text-tertiary'> + <span className='mr-0.5 system-md-semibold-uppercase text-text-secondary'>{formatNumber((currentQuota?.quota_limit || 0) - (currentQuota?.quota_used || 0))}</span> { currentQuota?.quota_unit === QuotaUnitEnum.tokens && 'Tokens' } diff --git a/web/app/components/header/account-setting/model-provider-page/provider-added-card/tab.tsx b/web/app/components/header/account-setting/model-provider-page/provider-added-card/tab.tsx deleted file mode 100644 index 5a533947d213eb..00000000000000 --- a/web/app/components/header/account-setting/model-provider-page/provider-added-card/tab.tsx +++ /dev/null @@ -1,45 +0,0 @@ -import type { FC } from 'react' - -type TabProps = { - active: string - onSelect: (active: string) => void -} -const Tab: FC<TabProps> = ({ - active, - onSelect, -}) => { - const tabs = [ - { - key: 'all', - text: 'All', - }, - { - key: 'added', - text: 'Added', - }, - { - key: 'build-in', - text: 'Build-in', - }, - ] - return ( - <div className='flex items-center'> - { - tabs.map(tab => ( - <div - key={tab.key} - className={` - flex items-center mr-1 px-[5px] h-[18px] rounded-md text-xs cursor-pointer - ${active === tab.key ? 'bg-gray-200 font-medium text-gray-900' : 'text-gray-500 font-normal'} - `} - onClick={() => onSelect(tab.key)} - > - {tab.text} - </div> - )) - } - </div> - ) -} - -export default Tab diff --git a/web/app/components/header/account-setting/model-provider-page/provider-card/index.module.css b/web/app/components/header/account-setting/model-provider-page/provider-card/index.module.css deleted file mode 100644 index 88c9fd015ea319..00000000000000 --- a/web/app/components/header/account-setting/model-provider-page/provider-card/index.module.css +++ /dev/null @@ -1,4 +0,0 @@ -.vender { - background: linear-gradient(131deg, #2250F2 0%, #0EBCF3 100%); - background-clip: text; -} \ No newline at end of file diff --git a/web/app/components/header/account-setting/model-provider-page/provider-card/index.tsx b/web/app/components/header/account-setting/model-provider-page/provider-card/index.tsx deleted file mode 100644 index ec66a9928b529d..00000000000000 --- a/web/app/components/header/account-setting/model-provider-page/provider-card/index.tsx +++ /dev/null @@ -1,103 +0,0 @@ -import type { FC } from 'react' -import { useTranslation } from 'react-i18next' -import { - RiAddLine, -} from '@remixicon/react' -import type { - ModelProvider, -} from '../declarations' -import { ConfigurationMethodEnum } from '../declarations' -import { - DEFAULT_BACKGROUND_COLOR, - modelTypeFormat, -} from '../utils' -import { - useLanguage, -} from '../hooks' -import ModelBadge from '../model-badge' -import ProviderIcon from '../provider-icon' -import s from './index.module.css' -import { Settings01 } from '@/app/components/base/icons/src/vender/line/general' -import Button from '@/app/components/base/button' -import { useAppContext } from '@/context/app-context' - -type ProviderCardProps = { - provider: ModelProvider - onOpenModal: (configurateMethod: ConfigurationMethodEnum) => void -} - -const ProviderCard: FC<ProviderCardProps> = ({ - provider, - onOpenModal, -}) => { - const { t } = useTranslation() - const language = useLanguage() - const { isCurrentWorkspaceManager } = useAppContext() - const configurateMethods = provider.configurate_methods.filter(method => method !== ConfigurationMethodEnum.fetchFromRemote) - - return ( - <div - className='group relative flex flex-col px-4 py-3 h-[148px] border-[0.5px] border-black/5 rounded-xl shadow-xs hover:shadow-lg' - style={{ background: provider.background || DEFAULT_BACKGROUND_COLOR }} - > - <div className='grow h-0'> - <div className='py-0.5'> - <ProviderIcon provider={provider} /> - </div> - { - provider.description && ( - <div - className='mt-1 leading-4 text-xs text-black/[48] line-clamp-4' - title={provider.description[language] || provider.description.en_US} - > - {provider.description[language] || provider.description.en_US} - </div> - ) - } - </div> - <div className='shrink-0'> - <div className={'flex flex-wrap group-hover:hidden gap-0.5'}> - { - provider.supported_model_types.map(modelType => ( - <ModelBadge key={modelType}> - {modelTypeFormat(modelType)} - </ModelBadge> - )) - } - </div> - <div className={`hidden group-hover:grid grid-cols-${configurateMethods.length} gap-1`}> - { - configurateMethods.map((method) => { - if (method === ConfigurationMethodEnum.predefinedModel) { - return ( - <Button - key={method} - className={'h-7 text-xs shrink-0'} - onClick={() => onOpenModal(method)} - disabled={!isCurrentWorkspaceManager} - > - <Settings01 className={`mr-[5px] w-3.5 h-3.5 ${s.icon}`} /> - <span className='text-xs inline-flex items-center justify-center overflow-ellipsis shrink-0'>{t('common.operation.setup')}</span> - </Button> - ) - } - return ( - <Button - key={method} - className='px-0 h-7 text-xs' - onClick={() => onOpenModal(method)} - disabled={!isCurrentWorkspaceManager} - > - <RiAddLine className='mr-[5px] w-3.5 h-3.5' /> - {t('common.modelProvider.addModel')} - </Button> - ) - }) - } - </div> - </div> - </div> - ) -} - -export default ProviderCard diff --git a/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx b/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx index 768f2c2766d6fd..e669b4a38bbf72 100644 --- a/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/provider-icon/index.tsx @@ -1,6 +1,12 @@ import type { FC } from 'react' import type { ModelProvider } from '../declarations' import { useLanguage } from '../hooks' +import { useAppContext } from '@/context/app-context' +import { Openai } from '@/app/components/base/icons/src/vender/other' +import { AnthropicDark, AnthropicLight } from '@/app/components/base/icons/src/public/llm' +import { renderI18nObject } from '@/hooks/use-i18n' +import { Theme } from '@/types/app' +import cn from '@/utils/classnames' type ProviderIconProps = { provider: ModelProvider @@ -10,22 +16,35 @@ const ProviderIcon: FC<ProviderIconProps> = ({ provider, className, }) => { + const { theme } = useAppContext() const language = useLanguage() - if (provider.icon_large) { + if (provider.provider === 'langgenius/anthropic/anthropic') { return ( - <img - alt='provider-icon' - src={`${provider.icon_large[language] || provider.icon_large.en_US}`} - className={`w-auto h-6 ${className}`} - /> + <div className='mb-2 py-[7px]'> + {theme === Theme.dark && <AnthropicLight className='w-[90px] h-2.5' />} + {theme === Theme.light && <AnthropicDark className='w-[90px] h-2.5' />} + </div> + ) + } + + if (provider.provider === 'langgenius/openai/openai') { + return ( + <div className='mb-2'> + <Openai className='w-auto h-6 text-text-inverted-dimmed' /> + </div> ) } return ( - <div className={`inline-flex items-center ${className}`}> - <div className='text-xs font-semibold text-black'> - {provider.label[language] || provider.label.en_US} + <div className={cn('inline-flex items-center gap-2', className)}> + <img + alt='provider-icon' + src={renderI18nObject(provider.icon_small, language)} + className='w-6 h-6' + /> + <div className='system-md-semibold text-text-primary'> + {renderI18nObject(provider.label, language)} </div> </div> ) diff --git a/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx b/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx index 15747858981e59..ec2bdc265f0eae 100644 --- a/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx +++ b/web/app/components/header/account-setting/model-provider-page/system-model-selector/index.tsx @@ -1,6 +1,7 @@ import type { FC } from 'react' import { useState } from 'react' import { useTranslation } from 'react-i18next' +import { RiEqualizer2Line } from '@remixicon/react' import ModelSelector from '../model-selector' import { useModelList, @@ -13,7 +14,6 @@ import type { } from '../declarations' import { ModelTypeEnum } from '../declarations' import Tooltip from '@/app/components/base/tooltip' -import { Settings01 } from '@/app/components/base/icons/src/vender/line/general' import { PortalToFollowElem, PortalToFollowElemContent, @@ -31,6 +31,7 @@ type SystemModelSelectorProps = { rerankDefaultModel: DefaultModelResponse | undefined speech2textDefaultModel: DefaultModelResponse | undefined ttsDefaultModel: DefaultModelResponse | undefined + notConfigured: boolean } const SystemModel: FC<SystemModelSelectorProps> = ({ textGenerationDefaultModel, @@ -38,6 +39,7 @@ const SystemModel: FC<SystemModelSelectorProps> = ({ rerankDefaultModel, speech2textDefaultModel, ttsDefaultModel, + notConfigured, }) => { const { t } = useTranslation() const { notify } = useToastContext() @@ -128,23 +130,23 @@ const SystemModel: FC<SystemModelSelectorProps> = ({ }} > <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}> - <div className={` - flex items-center px-2 h-6 text-xs text-gray-700 cursor-pointer bg-white rounded-md border-[0.5px] border-gray-200 shadow-xs - hover:bg-gray-100 hover:shadow-none - ${open && 'bg-gray-100 shadow-none'} - `}> - <Settings01 className='mr-1 w-3 h-3 text-gray-500' /> + <Button + className='relative' + variant={notConfigured ? 'primary' : 'secondary'} + size='small' + > + <RiEqualizer2Line className='mr-1 w-3.5 h-3.5' /> {t('common.modelProvider.systemModelSettings')} - </div> + </Button> </PortalToFollowElemTrigger> - <PortalToFollowElemContent className='z-50'> - <div className='pt-4 w-[360px] rounded-xl border-[0.5px] border-black/5 bg-white shadow-xl'> + <PortalToFollowElemContent className='z-[60]'> + <div className='pt-4 w-[360px] rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-xl'> <div className='px-6 py-1'> - <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'> + <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'> {t('common.modelProvider.systemReasoningModel.key')} <Tooltip popupContent={ - <div className='w-[261px] text-gray-500'> + <div className='w-[261px] text-text-tertiary'> {t('common.modelProvider.systemReasoningModel.tip')} </div> } @@ -160,11 +162,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({ </div> </div> <div className='px-6 py-1'> - <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'> + <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'> {t('common.modelProvider.embeddingModel.key')} <Tooltip popupContent={ - <div className='w-[261px] text-gray-500'> + <div className='w-[261px] text-text-tertiary'> {t('common.modelProvider.embeddingModel.tip')} </div> } @@ -180,11 +182,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({ </div> </div> <div className='px-6 py-1'> - <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'> + <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'> {t('common.modelProvider.rerankModel.key')} <Tooltip popupContent={ - <div className='w-[261px] text-gray-500'> + <div className='w-[261px] text-text-tertiary'> {t('common.modelProvider.rerankModel.tip')} </div> } @@ -200,11 +202,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({ </div> </div> <div className='px-6 py-1'> - <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'> + <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'> {t('common.modelProvider.speechToTextModel.key')} <Tooltip popupContent={ - <div className='w-[261px] text-gray-500'> + <div className='w-[261px] text-text-tertiary'> {t('common.modelProvider.speechToTextModel.tip')} </div> } @@ -220,11 +222,11 @@ const SystemModel: FC<SystemModelSelectorProps> = ({ </div> </div> <div className='px-6 py-1'> - <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'> + <div className='flex items-center h-8 text-[13px] font-medium text-text-primary'> {t('common.modelProvider.ttsModel.key')} <Tooltip popupContent={ - <div className='w-[261px] text-gray-500'> + <div className='w-[261px] text-text-tertiary'> {t('common.modelProvider.ttsModel.tip')} </div> } diff --git a/web/app/components/header/account-setting/model-provider-page/utils.ts b/web/app/components/header/account-setting/model-provider-page/utils.ts index 165926b2bbff42..9056afe69bd7bf 100644 --- a/web/app/components/header/account-setting/model-provider-page/utils.ts +++ b/web/app/components/header/account-setting/model-provider-page/utils.ts @@ -18,9 +18,7 @@ import { validateModelProvider, } from '@/service/common' -export const MODEL_PROVIDER_QUOTA_GET_PAID = ['anthropic', 'openai', 'azure_openai'] - -export const DEFAULT_BACKGROUND_COLOR = '#F3F4F6' +export const MODEL_PROVIDER_QUOTA_GET_PAID = ['langgenius/anthropic/anthropic', 'langgenius/openai/openai', 'langgenius/azure_openai/azure_openai'] export const isNullOrUndefined = (value: any) => { return value === undefined || value === null diff --git a/web/app/components/header/app-nav/index.tsx b/web/app/components/header/app-nav/index.tsx index d4dd9e3ffd6a24..3ac57926e91f4d 100644 --- a/web/app/components/header/app-nav/index.tsx +++ b/web/app/components/header/app-nav/index.tsx @@ -11,7 +11,7 @@ import { RiRobot2Line, } from '@remixicon/react' import Nav from '../nav' -import { type NavItem } from '../nav/nav-selector' +import type { NavItem } from '../nav/nav-selector' import { fetchAppList } from '@/service/apps' import CreateAppTemplateDialog from '@/app/components/app/create-app-dialog' import CreateAppModal from '@/app/components/app/create-app-modal' diff --git a/web/app/components/header/index.tsx b/web/app/components/header/index.tsx index 9a32bbb37abe95..d0807ff8adcbff 100644 --- a/web/app/components/header/index.tsx +++ b/web/app/components/header/index.tsx @@ -4,23 +4,24 @@ import Link from 'next/link' import { useBoolean } from 'ahooks' import { useSelectedLayoutSegment } from 'next/navigation' import { Bars3Icon } from '@heroicons/react/20/solid' -import { useContextSelector } from 'use-context-selector' -import HeaderBillingBtn from '../billing/header-billing-btn' +import { SparklesSoft } from '@/app/components/base/icons/src/public/common' +import PremiumBadge from '../base/premium-badge' import AccountDropdown from './account-dropdown' import AppNav from './app-nav' import DatasetNav from './dataset-nav' import EnvNav from './env-nav' +import PluginsNav from './plugins-nav' import ExploreNav from './explore-nav' import ToolsNav from './tools-nav' -import GithubStar from './github-star' import LicenseNav from './license-env' import { WorkspaceProvider } from '@/context/workspace-context' -import AppContext, { useAppContext } from '@/context/app-context' +import { useAppContext } from '@/context/app-context' import LogoSite from '@/app/components/base/logo/logo-site' +import WorkplaceSelector from '@/app/components/header/account-dropdown/workplace-selector' import useBreakpoints, { MediaType } from '@/hooks/use-breakpoints' import { useProviderContext } from '@/context/provider-context' import { useModalContext } from '@/context/modal-context' -import { LicenseStatus } from '@/types/feature' +import { useTranslation } from 'react-i18next' const navClassName = ` flex items-center relative mr-0 sm:mr-3 px-3 h-8 rounded-xl @@ -30,7 +31,8 @@ const navClassName = ` const Header = () => { const { isCurrentWorkspaceEditor, isCurrentWorkspaceDatasetOperator } = useAppContext() - const systemFeatures = useContextSelector(AppContext, v => v.systemFeatures) + const { t } = useTranslation() + const selectedSegment = useSelectedLayoutSegment() const media = useBreakpoints() const isMobile = media === MediaType.mobile @@ -58,50 +60,84 @@ const Header = () => { > <Bars3Icon className="h-4 w-4 text-gray-500" /> </div>} - {!isMobile && <> - <Link href="/apps" className='flex items-center mr-4'> - <LogoSite className='object-contain' /> - </Link> - {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />} - </>} - </div> + { + !isMobile + && <div className='flex w-64 p-2 pl-3 gap-1.5 items-center shrink-0 self-stretch'> + <Link href="/apps" className='flex w-8 h-8 items-center justify-center gap-2 shrink-0'> + <LogoSite className='object-contain' /> + </Link> + <div className='font-light text-divider-deep'>/</div> + <div className='flex items-center gap-0.5'> + <WorkspaceProvider> + <WorkplaceSelector /> + </WorkspaceProvider> + {enableBilling && ( + <div className='select-none'> + <PremiumBadge color='blue' allowHover={true} onClick={handlePlanClick}> + <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' /> + <div className='system-xs-medium'> + <span className='p-1'> + {t('billing.upgradeBtn.encourageShort')} + </span> + </div> + </PremiumBadge> + </div> + )} + </div> + </div> + } + </div > {isMobile && ( <div className='flex'> <Link href="/apps" className='flex items-center mr-4'> <LogoSite /> </Link> - {systemFeatures.license.status === LicenseStatus.NONE && <GithubStar />} - </div> - )} - {!isMobile && ( - <div className='flex items-center'> - {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />} - {!isCurrentWorkspaceDatasetOperator && <AppNav />} - {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />} - {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />} - </div> + <div className='font-light text-divider-deep'>/</div> + { + enableBilling && ( + <div className='select-none'> + <PremiumBadge color='blue' allowHover={true} onClick={handlePlanClick}> + <SparklesSoft className='flex items-center py-[1px] pl-[3px] w-3.5 h-3.5 text-components-premium-badge-indigo-text-stop-0' /> + <div className='system-xs-medium'> + <span className='p-1'> + {t('billing.upgradeBtn.encourageShort')} + </span> + </div> + </PremiumBadge> + </div> + ) + } + </div > )} - <div className='flex items-center flex-shrink-0'> + { + !isMobile && ( + <div className='flex items-center'> + {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />} + {!isCurrentWorkspaceDatasetOperator && <AppNav />} + {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />} + {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />} + </div> + ) + } + <div className='flex items-center shrink-0'> <LicenseNav /> <EnvNav /> - {enableBilling && ( - <div className='mr-3 select-none'> - <HeaderBillingBtn onClick={handlePlanClick} /> - </div> - )} - <WorkspaceProvider> - <AccountDropdown isMobile={isMobile} /> - </WorkspaceProvider> - </div> - {(isMobile && isShowNavMenu) && ( - <div className='w-full flex flex-col p-2 gap-y-1'> - {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />} - {!isCurrentWorkspaceDatasetOperator && <AppNav />} - {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />} - {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />} + <div className='mr-3'> + <PluginsNav /> </div> - )} - </div> + <AccountDropdown isMobile={isMobile} /> + </div> + { + (isMobile && isShowNavMenu) && ( + <div className='w-full flex flex-col p-2 gap-y-1'> + {!isCurrentWorkspaceDatasetOperator && <ExploreNav className={navClassName} />} + {!isCurrentWorkspaceDatasetOperator && <AppNav />} + {(isCurrentWorkspaceEditor || isCurrentWorkspaceDatasetOperator) && <DatasetNav />} + {!isCurrentWorkspaceDatasetOperator && <ToolsNav className={navClassName} />} + </div> + ) + } + </div > ) } export default Header diff --git a/web/app/components/header/nav/index.tsx b/web/app/components/header/nav/index.tsx index bfb4324320e361..de98593ddd5e52 100644 --- a/web/app/components/header/nav/index.tsx +++ b/web/app/components/header/nav/index.tsx @@ -68,7 +68,7 @@ const Nav = ({ { curNav && isActivated && ( <> - <div className='font-light text-gray-300 '>/</div> + <div className='font-light text-divider-deep'>/</div> <NavSelector isApp={isApp} curNav={curNav} diff --git a/web/app/components/header/plugins-nav/downloading-icon.module.css b/web/app/components/header/plugins-nav/downloading-icon.module.css new file mode 100644 index 00000000000000..c11a9f2f2cad62 --- /dev/null +++ b/web/app/components/header/plugins-nav/downloading-icon.module.css @@ -0,0 +1,44 @@ +@keyframes realistic-blink { + 0% { fill: #37ff37; opacity: 0.4; } + 15% { fill: #37ff37; opacity: 0.9; } + 25% { fill: #37ff37; opacity: 0.3; } + 38% { fill: #ff4444; opacity: 0.8; } + 42% { fill: #ff4444; opacity: 0.3; } + 58% { fill: #37ff37; opacity: 0.9; } + 65% { fill: #37ff37; opacity: 0.4; } + 79% { fill: #ff4444; opacity: 0.8; } + 84% { fill: #ff4444; opacity: 0.3; } + 92% { fill: #37ff37; opacity: 0.8; } + 100% { fill: #37ff37; opacity: 0.4; } +} + +@keyframes drop { + 0% { + transform: translateY(-4px); + opacity: 0; + } + 5% { + transform: translateY(-4px); + opacity: 1; + } + 65% { + transform: translateY(2px); + opacity: 1; + } + 80% { + transform: translateY(2px); + opacity: 0; + } + 100% { + transform: translateY(2px); + opacity: 0; + } +} + +#downloadingIconLight { + animation: realistic-blink 3s infinite ease-in-out; +} + +#downloadingIconArrow { + animation: drop 1.2s cubic-bezier(0.4, 0, 1, 1) infinite; +} \ No newline at end of file diff --git a/web/app/components/header/plugins-nav/downloading-icon.tsx b/web/app/components/header/plugins-nav/downloading-icon.tsx new file mode 100644 index 00000000000000..d3fc48644534a0 --- /dev/null +++ b/web/app/components/header/plugins-nav/downloading-icon.tsx @@ -0,0 +1,17 @@ +import s from './downloading-icon.module.css' + +const DownloadingIcon = () => { + return ( + <div className="inline-flex text-components-button-secondary-text"> + <svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" className="install-icon"> + <g id="install-line"> + <path d="M8 2V4H5L4.999 14H18.999L19 4H16V2H20C20.5523 2 21 2.44772 21 3V21C21 21.5523 20.5523 22 20 22H4C3.44772 22 3 21.5523 3 21V3C3 2.44772 3.44772 2 4 2H8ZM18.999 16H4.999L5 20H19L18.999 16Z" fill="currentColor"/> + <path id={s.downloadingIconLight} d="M17 19V17H15V19H17Z"/> + <path id={s.downloadingIconArrow} d="M13 2V7H16L12 11L8 7H11V2H13Z" fill="currentColor"/> + </g> + </svg> + </div> + ) +} + +export default DownloadingIcon diff --git a/web/app/components/header/plugins-nav/index.tsx b/web/app/components/header/plugins-nav/index.tsx new file mode 100644 index 00000000000000..ab742c98cfff10 --- /dev/null +++ b/web/app/components/header/plugins-nav/index.tsx @@ -0,0 +1,66 @@ +'use client' + +import { useTranslation } from 'react-i18next' +import Link from 'next/link' +import classNames from '@/utils/classnames' +import { Group } from '@/app/components/base/icons/src/vender/other' +import { useSelectedLayoutSegment } from 'next/navigation' +import DownloadingIcon from './downloading-icon' +import { usePluginTaskStatus } from '@/app/components/plugins/plugin-page/plugin-tasks/hooks' +import Indicator from '@/app/components/header/indicator' + +type PluginsNavProps = { + className?: string +} + +const PluginsNav = ({ + className, +}: PluginsNavProps) => { + const { t } = useTranslation() + const selectedSegment = useSelectedLayoutSegment() + const activated = selectedSegment === 'plugins' + const { + isInstalling, + isInstallingWithError, + isFailed, + } = usePluginTaskStatus() + + return ( + <Link href="/plugins" className={classNames( + className, 'group', 'plugins-nav-button', // used for use-fold-anim-into.ts + )}> + <div + className={classNames( + 'relative flex flex-row h-8 p-1.5 gap-0.5 border border-transparent items-center justify-center rounded-xl system-sm-medium-uppercase', + activated && 'border-components-main-nav-nav-button-border bg-components-main-nav-nav-button-bg-active shadow-md text-components-main-nav-nav-button-text', + !activated && 'text-text-tertiary hover:bg-state-base-hover hover:text-text-secondary', + (isInstallingWithError || isFailed) && !activated && 'border-components-panel-border-subtle', + )} + > + { + (isFailed || isInstallingWithError) && !activated && ( + <Indicator + color='red' + className='absolute top-[-1px] left-[-1px]' + /> + ) + } + <div className='flex mr-0.5 w-5 h-5 justify-center items-center'> + { + (!(isInstalling || isInstallingWithError) || activated) && ( + <Group className='w-4 h-4' /> + ) + } + { + (isInstalling || isInstallingWithError) && !activated && ( + <DownloadingIcon /> + ) + } + </div> + <span className='px-0.5'>{t('common.menus.plugins')}</span> + </div> + </Link> + ) +} + +export default PluginsNav diff --git a/web/app/components/i18n.tsx b/web/app/components/i18n.tsx index 7fe1df23e05fc0..f04f8d6cbef097 100644 --- a/web/app/components/i18n.tsx +++ b/web/app/components/i18n.tsx @@ -2,7 +2,6 @@ import type { FC } from 'react' import React, { useEffect } from 'react' -import { changeLanguage } from '@/i18n/i18next-config' import I18NContext from '@/context/i18n' import type { Locale } from '@/i18n' import { setLocaleOnClient } from '@/i18n' @@ -16,7 +15,7 @@ const I18n: FC<II18nProps> = ({ children, }) => { useEffect(() => { - changeLanguage(locale) + setLocaleOnClient(locale, false) }, [locale]) return ( diff --git a/web/app/components/plugins/base/key-value-item.tsx b/web/app/components/plugins/base/key-value-item.tsx new file mode 100644 index 00000000000000..9d6cda18d3c7a1 --- /dev/null +++ b/web/app/components/plugins/base/key-value-item.tsx @@ -0,0 +1,66 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useEffect, useState } from 'react' +import copy from 'copy-to-clipboard' +import { + RiClipboardLine, +} from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import { ClipboardCheck } from '../../base/icons/src/vender/line/files' +import Tooltip from '../../base/tooltip' +import cn from '@/utils/classnames' +import ActionButton from '@/app/components/base/action-button' + +type Props = { + label: string + labelWidthClassName?: string + value: string + maskedValue?: string + valueMaxWidthClassName?: string +} + +const KeyValueItem: FC<Props> = ({ + label, + labelWidthClassName = 'w-10', + value, + maskedValue, + valueMaxWidthClassName = 'max-w-[162px]', +}) => { + const { t } = useTranslation() + const [isCopied, setIsCopied] = useState(false) + const handleCopy = useCallback(() => { + copy(value) + setIsCopied(true) + }, [value]) + + useEffect(() => { + if (isCopied) { + const timer = setTimeout(() => { + setIsCopied(false) + }, 2000) + return () => { + clearTimeout(timer) + } + } + }, [isCopied]) + + const CopyIcon = isCopied ? ClipboardCheck : RiClipboardLine + + return ( + <div className='flex items-center gap-1'> + <span className={cn('flex flex-col justify-center items-start text-text-tertiary system-xs-medium', labelWidthClassName)}>{label}</span> + <div className='flex justify-center items-center gap-0.5'> + <span className={cn(valueMaxWidthClassName, ' truncate system-xs-medium text-text-secondary')}> + {maskedValue || value} + </span> + <Tooltip popupContent={t(`common.operation.${isCopied ? 'copied' : 'copy'}`)} position='top'> + <ActionButton onClick={handleCopy}> + <CopyIcon className='shrink-0 w-3.5 h-3.5 text-text-tertiary' /> + </ActionButton> + </Tooltip> + </div> + </div> + ) +} + +export default React.memo(KeyValueItem) diff --git a/web/app/components/plugins/card/base/card-icon.tsx b/web/app/components/plugins/card/base/card-icon.tsx new file mode 100644 index 00000000000000..3587f3fd0dc813 --- /dev/null +++ b/web/app/components/plugins/card/base/card-icon.tsx @@ -0,0 +1,66 @@ +import { RiCheckLine, RiCloseLine } from '@remixicon/react' +import AppIcon from '@/app/components/base/app-icon' +import cn from '@/utils/classnames' + +const iconSizeMap = { + xs: 'w-4 h-4 text-base', + tiny: 'w-6 h-6 text-base', + small: 'w-8 h-8', + medium: 'w-9 h-9', + large: 'w-10 h-10', +} +const Icon = ({ + className, + src, + installed = false, + installFailed = false, + size = 'large', +}: { + className?: string + src: string | { + content: string + background: string + } + installed?: boolean + installFailed?: boolean + size?: 'xs' | 'tiny' | 'small' | 'medium' | 'large' +}) => { + const iconClassName = 'flex justify-center items-center gap-2 absolute bottom-[-4px] right-[-4px] w-[18px] h-[18px] rounded-full border-2 border-components-panel-bg' + if (typeof src === 'object') { + return ( + <div className={cn('relative', className)}> + <AppIcon + size={size} + iconType={'emoji'} + icon={src.content} + background={src.background} + className='rounded-md' + /> + </div> + ) + } + + return ( + <div + className={cn('shrink-0 relative rounded-md bg-center bg-no-repeat bg-contain', iconSizeMap[size], className)} + style={{ + backgroundImage: `url(${src})`, + }} + > + { + installed + && <div className={cn(iconClassName, 'bg-state-success-solid')}> + <RiCheckLine className='w-3 h-3 text-text-primary-on-surface' /> + </div> + } + { + installFailed + && <div className={cn(iconClassName, 'bg-state-destructive-solid')}> + <RiCloseLine className='w-3 h-3 text-text-primary-on-surface' /> + </div> + } + </div> + ) +} + +export default Icon diff --git a/web/app/components/plugins/card/base/corner-mark.tsx b/web/app/components/plugins/card/base/corner-mark.tsx new file mode 100644 index 00000000000000..cdb9eb541754ac --- /dev/null +++ b/web/app/components/plugins/card/base/corner-mark.tsx @@ -0,0 +1,12 @@ +import { LeftCorner } from '../../../base/icons/src/vender/plugin' + +const CornerMark = ({ text }: { text: string }) => { + return ( + <div className='absolute top-0 right-0 flex pl-[13px] '> + <LeftCorner className="text-background-section" /> + <div className="h-5 leading-5 rounded-tr-xl pr-2 bg-background-section text-text-tertiary system-2xs-medium-uppercase">{text}</div> + </div> + ) +} + +export default CornerMark diff --git a/web/app/components/plugins/card/base/description.tsx b/web/app/components/plugins/card/base/description.tsx new file mode 100644 index 00000000000000..247a55c6285956 --- /dev/null +++ b/web/app/components/plugins/card/base/description.tsx @@ -0,0 +1,31 @@ +import type { FC } from 'react' +import React, { useMemo } from 'react' +import cn from '@/utils/classnames' + +type Props = { + className?: string + text: string + descriptionLineRows: number +} + +const Description: FC<Props> = ({ + className, + text, + descriptionLineRows, +}) => { + const lineClassName = useMemo(() => { + if (descriptionLineRows === 1) + return 'h-4 truncate' + else if (descriptionLineRows === 2) + return 'h-8 line-clamp-2' + else + return 'h-12 line-clamp-3' + }, [descriptionLineRows]) + return ( + <div className={cn('text-text-tertiary system-xs-regular', lineClassName, className)}> + {text} + </div> + ) +} + +export default Description diff --git a/web/app/components/plugins/card/base/download-count.tsx b/web/app/components/plugins/card/base/download-count.tsx new file mode 100644 index 00000000000000..0c28e6970e589f --- /dev/null +++ b/web/app/components/plugins/card/base/download-count.tsx @@ -0,0 +1,19 @@ +import { RiInstallLine } from '@remixicon/react' +import { formatNumber } from '@/utils/format' + +type Props = { + downloadCount: number +} + +const DownloadCount = ({ + downloadCount, +}: Props) => { + return ( + <div className="flex items-center space-x-1 text-text-tertiary"> + <RiInstallLine className="shrink-0 w-3 h-3" /> + <div className="system-xs-regular">{formatNumber(downloadCount)}</div> + </div> + ) +} + +export default DownloadCount diff --git a/web/app/components/plugins/card/base/org-info.tsx b/web/app/components/plugins/card/base/org-info.tsx new file mode 100644 index 00000000000000..3d549d6c5e29c6 --- /dev/null +++ b/web/app/components/plugins/card/base/org-info.tsx @@ -0,0 +1,30 @@ +import cn from '@/utils/classnames' +type Props = { + className?: string + orgName?: string + packageName: string + packageNameClassName?: string +} + +const OrgInfo = ({ + className, + orgName, + packageName, + packageNameClassName, +}: Props) => { + return ( + <div className={cn('flex items-center h-4 space-x-0.5', className)}> + {orgName && ( + <> + <span className='shrink-0 text-text-tertiary system-xs-regular'>{orgName}</span> + <span className='shrink-0 text-text-quaternary system-xs-regular'>/</span> + </> + )} + <span className={cn('shrink-0 w-0 grow truncate text-text-tertiary system-xs-regular', packageNameClassName)}> + {packageName} + </span> + </div> + ) +} + +export default OrgInfo diff --git a/web/app/components/plugins/card/base/placeholder.tsx b/web/app/components/plugins/card/base/placeholder.tsx new file mode 100644 index 00000000000000..62f373f922002a --- /dev/null +++ b/web/app/components/plugins/card/base/placeholder.tsx @@ -0,0 +1,51 @@ +import { Group } from '../../../base/icons/src/vender/other' +import Title from './title' +import { SkeletonContainer, SkeletonPoint, SkeletonRectangle, SkeletonRow } from '@/app/components/base/skeleton' +import cn from '@/utils/classnames' + +type Props = { + wrapClassName: string + loadingFileName?: string +} + +export const LoadingPlaceholder = ({ className }: { className?: string }) => ( + <div className={cn('h-2 rounded-sm opacity-20 bg-text-quaternary', className)} /> +) + +const Placeholder = ({ + wrapClassName, + loadingFileName, +}: Props) => { + return ( + <div className={wrapClassName}> + <SkeletonRow> + <div + className='flex w-10 h-10 p-1 justify-center items-center gap-2 rounded-[10px] + border-[0.5px] border-components-panel-border bg-background-default backdrop-blur-sm'> + <div className='flex w-5 h-5 justify-center items-center'> + <Group className='text-text-tertiary' /> + </div> + </div> + <div className="grow"> + <SkeletonContainer> + <div className="flex items-center h-5"> + {loadingFileName ? ( + <Title title={loadingFileName} /> + ) : ( + <SkeletonRectangle className="w-[260px]" /> + )} + </div> + <SkeletonRow className="h-4"> + <SkeletonRectangle className="w-[41px]" /> + <SkeletonPoint /> + <SkeletonRectangle className="w-[180px]" /> + </SkeletonRow> + </SkeletonContainer> + </div> + </SkeletonRow> + <SkeletonRectangle className="mt-3 w-[420px]" /> + </div> + ) +} + +export default Placeholder diff --git a/web/app/components/plugins/card/base/title.tsx b/web/app/components/plugins/card/base/title.tsx new file mode 100644 index 00000000000000..383e7b31c1dbc3 --- /dev/null +++ b/web/app/components/plugins/card/base/title.tsx @@ -0,0 +1,13 @@ +const Title = ({ + title, +}: { + title: string +}) => { + return ( + <div className='truncate text-text-secondary system-md-semibold'> + {title} + </div> + ) +} + +export default Title diff --git a/web/app/components/plugins/card/card-more-info.tsx b/web/app/components/plugins/card/card-more-info.tsx new file mode 100644 index 00000000000000..b7ba8c1a53675c --- /dev/null +++ b/web/app/components/plugins/card/card-more-info.tsx @@ -0,0 +1,36 @@ +import DownloadCount from './base/download-count' + +type Props = { + downloadCount?: number + tags: string[] +} + +const CardMoreInfo = ({ + downloadCount, + tags, +}: Props) => { + return ( + <div className="flex items-center h-5"> + {downloadCount !== undefined && <DownloadCount downloadCount={downloadCount} />} + {downloadCount !== undefined && tags && tags.length > 0 && <div className="mx-2 text-text-quaternary system-xs-regular">·</div>} + {tags && tags.length > 0 && ( + <> + <div className="flex flex-wrap space-x-2 h-4 overflow-hidden"> + {tags.map(tag => ( + <div + key={tag} + className="flex space-x-1 system-xs-regular max-w-[120px] overflow-hidden" + title={`# ${tag}`} + > + <span className="text-text-quaternary">#</span> + <span className="truncate text-text-tertiary">{tag}</span> + </div> + ))} + </div> + </> + )} + </div> + ) +} + +export default CardMoreInfo diff --git a/web/app/components/plugins/card/index.tsx b/web/app/components/plugins/card/index.tsx new file mode 100644 index 00000000000000..871f5cb62f48a1 --- /dev/null +++ b/web/app/components/plugins/card/index.tsx @@ -0,0 +1,94 @@ +'use client' +import React from 'react' +import { RiVerifiedBadgeLine } from '@remixicon/react' +import type { Plugin } from '../types' +import Icon from '../card/base/card-icon' +import CornerMark from './base/corner-mark' +import Title from './base/title' +import OrgInfo from './base/org-info' +import Description from './base/description' +import Placeholder from './base/placeholder' +import cn from '@/utils/classnames' +import { useGetLanguage } from '@/context/i18n' +import { getLanguage } from '@/i18n/language' +import { useSingleCategories } from '../hooks' +import { renderI18nObject } from '@/hooks/use-i18n' +import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks' + +export type Props = { + className?: string + payload: Plugin + titleLeft?: React.ReactNode + installed?: boolean + installFailed?: boolean + hideCornerMark?: boolean + descriptionLineRows?: number + footer?: React.ReactNode + isLoading?: boolean + loadingFileName?: string + locale?: string +} + +const Card = ({ + className, + payload, + titleLeft, + installed, + installFailed, + hideCornerMark, + descriptionLineRows = 2, + footer, + isLoading = false, + loadingFileName, + locale: localeFromProps, +}: Props) => { + const defaultLocale = useGetLanguage() + const locale = localeFromProps ? getLanguage(localeFromProps) : defaultLocale + const { t } = useMixedTranslation(localeFromProps) + const { categoriesMap } = useSingleCategories(t) + const { category, type, name, org, label, brief, icon, verified } = payload + const isBundle = !['plugin', 'model', 'tool', 'extension', 'agent-strategy'].includes(type) + const cornerMark = isBundle ? categoriesMap.bundle?.label : categoriesMap[category]?.label + const getLocalizedText = (obj: Record<string, string> | undefined) => + obj ? renderI18nObject(obj, locale) : '' + + const wrapClassName = cn('relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs', className) + if (isLoading) { + return ( + <Placeholder + wrapClassName={wrapClassName} + loadingFileName={loadingFileName!} + /> + ) + } + + return ( + <div className={wrapClassName}> + {!hideCornerMark && <CornerMark text={cornerMark} />} + {/* Header */} + <div className="flex"> + <Icon src={icon} installed={installed} installFailed={installFailed} /> + <div className="ml-3 w-0 grow"> + <div className="flex items-center h-5"> + <Title title={getLocalizedText(label)} /> + {verified && <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" />} + {titleLeft} {/* This can be version badge */} + </div> + <OrgInfo + className="mt-0.5" + orgName={org} + packageName={name} + /> + </div> + </div> + <Description + className="mt-3" + text={getLocalizedText(brief)} + descriptionLineRows={descriptionLineRows} + /> + {footer && <div>{footer}</div>} + </div> + ) +} + +export default React.memo(Card) diff --git a/web/app/components/plugins/constants.ts b/web/app/components/plugins/constants.ts new file mode 100644 index 00000000000000..02439be5106278 --- /dev/null +++ b/web/app/components/plugins/constants.ts @@ -0,0 +1,27 @@ +export const tagKeys = [ + 'agent', + 'search', + 'image', + 'videos', + 'weather', + 'finance', + 'design', + 'travel', + 'social', + 'news', + 'medical', + 'productivity', + 'education', + 'business', + 'entertainment', + 'utilities', + 'other', +] + +export const categoryKeys = [ + 'model', + 'tool', + 'agent-strategy', + 'extension', + 'bundle', +] diff --git a/web/app/components/plugins/hooks.ts b/web/app/components/plugins/hooks.ts new file mode 100644 index 00000000000000..f4b81d98c1453e --- /dev/null +++ b/web/app/components/plugins/hooks.ts @@ -0,0 +1,94 @@ +import { useTranslation } from 'react-i18next' +import type { TFunction } from 'i18next' +import { + categoryKeys, + tagKeys, +} from './constants' + +type Tag = { + name: string + label: string +} + +export const useTags = (translateFromOut?: TFunction) => { + const { t: translation } = useTranslation() + const t = translateFromOut || translation + + const tags = tagKeys.map((tag) => { + return { + name: tag, + label: t(`pluginTags.tags.${tag}`), + } + }) + + const tagsMap = tags.reduce((acc, tag) => { + acc[tag.name] = tag + return acc + }, {} as Record<string, Tag>) + + return { + tags, + tagsMap, + } +} + +type Category = { + name: string + label: string +} + +export const useCategories = (translateFromOut?: TFunction) => { + const { t: translation } = useTranslation() + const t = translateFromOut || translation + + const categories = categoryKeys.map((category) => { + if (category === 'agent-strategy') { + return { + name: 'agent-strategy', + label: t('plugin.category.agents'), + } + } + return { + name: category, + label: t(`plugin.category.${category}s`), + } + }) + + const categoriesMap = categories.reduce((acc, category) => { + acc[category.name] = category + return acc + }, {} as Record<string, Category>) + + return { + categories, + categoriesMap, + } +} + +export const useSingleCategories = (translateFromOut?: TFunction) => { + const { t: translation } = useTranslation() + const t = translateFromOut || translation + + const categories = categoryKeys.map((category) => { + if (category === 'agent-strategy') { + return { + name: 'agent-strategy', + label: t('plugin.categorySingle.agent'), + } + } + return { + name: category, + label: t(`plugin.categorySingle.${category}`), + } + }) + + const categoriesMap = categories.reduce((acc, category) => { + acc[category.name] = category + return acc + }, {} as Record<string, Category>) + + return { + categories, + categoriesMap, + } +} diff --git a/web/app/components/plugins/install-plugin/base/check-task-status.ts b/web/app/components/plugins/install-plugin/base/check-task-status.ts new file mode 100644 index 00000000000000..320f50d70a2f88 --- /dev/null +++ b/web/app/components/plugins/install-plugin/base/check-task-status.ts @@ -0,0 +1,63 @@ +import { checkTaskStatus as fetchCheckTaskStatus } from '@/service/plugins' +import type { PluginStatus } from '../../types' +import { TaskStatus } from '../../types' +import { sleep } from '@/utils' + +const INTERVAL = 10 * 1000 // 10 seconds + +type Params = { + taskId: string + pluginUniqueIdentifier: string +} + +function checkTaskStatus() { + let nextStatus = TaskStatus.running + let isStop = false + + const doCheckStatus = async ({ + taskId, + pluginUniqueIdentifier, + }: Params) => { + if (isStop) { + return { + status: TaskStatus.success, + } + } + const res = await fetchCheckTaskStatus(taskId) + const { plugins } = res.task + const plugin = plugins.find((p: PluginStatus) => p.plugin_unique_identifier === pluginUniqueIdentifier) + if (!plugin) { + nextStatus = TaskStatus.failed + return { + status: TaskStatus.failed, + error: 'Plugin package not found', + } + } + nextStatus = plugin.status + if (nextStatus === TaskStatus.running) { + await sleep(INTERVAL) + return await doCheckStatus({ + taskId, + pluginUniqueIdentifier, + }) + } + if (nextStatus === TaskStatus.failed) { + return { + status: TaskStatus.failed, + error: plugin.message, + } + } + return ({ + status: TaskStatus.success, + }) + } + + return { + check: doCheckStatus, + stop: () => { + isStop = true + }, + } +} + +export default checkTaskStatus diff --git a/web/app/components/plugins/install-plugin/base/installed.tsx b/web/app/components/plugins/install-plugin/base/installed.tsx new file mode 100644 index 00000000000000..efe8d4af76cadb --- /dev/null +++ b/web/app/components/plugins/install-plugin/base/installed.tsx @@ -0,0 +1,60 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { useTranslation } from 'react-i18next' +import Card from '../../card' +import Button from '@/app/components/base/button' +import type { Plugin, PluginDeclaration, PluginManifestInMarket } from '../../types' +import { pluginManifestInMarketToPluginProps, pluginManifestToCardPluginProps } from '../utils' +import Badge, { BadgeState } from '@/app/components/base/badge/index' + +type Props = { + payload?: Plugin | PluginDeclaration | PluginManifestInMarket | null + isMarketPayload?: boolean + isFailed: boolean + errMsg?: string | null + onCancel: () => void +} + +const Installed: FC<Props> = ({ + payload, + isMarketPayload, + isFailed, + errMsg, + onCancel, +}) => { + const { t } = useTranslation() + + const handleClose = () => { + onCancel() + } + return ( + <> + <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'> + <p className='text-text-secondary system-md-regular'>{(isFailed && errMsg) ? errMsg : t(`plugin.installModal.${isFailed ? 'installFailedDesc' : 'installedSuccessfullyDesc'}`)}</p> + {payload && ( + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'> + <Card + className='w-full' + payload={isMarketPayload ? pluginManifestInMarketToPluginProps(payload as PluginManifestInMarket) : pluginManifestToCardPluginProps(payload as PluginDeclaration)} + installed={!isFailed} + installFailed={isFailed} + titleLeft={<Badge className='mx-1' size="s" state={BadgeState.Default}>{(payload as PluginDeclaration).version || (payload as PluginManifestInMarket).latest_version}</Badge>} + /> + </div> + )} + </div> + {/* Action Buttons */} + <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'> + <Button + variant='primary' + className='min-w-[72px]' + onClick={handleClose} + > + {t('common.operation.close')} + </Button> + </div> + </> + ) +} +export default React.memo(Installed) diff --git a/web/app/components/plugins/install-plugin/base/loading-error.tsx b/web/app/components/plugins/install-plugin/base/loading-error.tsx new file mode 100644 index 00000000000000..eb698bb573f0a0 --- /dev/null +++ b/web/app/components/plugins/install-plugin/base/loading-error.tsx @@ -0,0 +1,45 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { Group } from '../../../base/icons/src/vender/other' +import { LoadingPlaceholder } from '@/app/components/plugins/card/base/placeholder' +import Checkbox from '@/app/components/base/checkbox' +import { RiCloseLine } from '@remixicon/react' +import { useTranslation } from 'react-i18next' + +const LoadingError: FC = () => { + const { t } = useTranslation() + return ( + <div className='flex items-center space-x-2'> + <Checkbox + className='shrink-0' + checked={false} + disabled + /> + <div className='grow relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs'> + <div className="flex"> + <div + className='relative flex w-10 h-10 p-1 justify-center items-center gap-2 rounded-[10px] + border-[0.5px] border-state-destructive-border bg-state-destructive-hover backdrop-blur-sm'> + <div className='flex w-5 h-5 justify-center items-center'> + <Group className='text-text-quaternary' /> + </div> + <div className='absolute bottom-[-4px] right-[-4px] rounded-full border-[2px] border-components-panel-bg bg-state-destructive-solid'> + <RiCloseLine className='w-3 h-3 text-text-primary-on-surface' /> + </div> + </div> + <div className="ml-3 grow"> + <div className="flex items-center h-5 system-md-semibold text-text-destructive"> + {t('plugin.installModal.pluginLoadError')} + </div> + <div className='mt-0.5 system-xs-regular text-text-tertiary'> + {t('plugin.installModal.pluginLoadErrorDesc')} + </div> + </div> + </div> + <LoadingPlaceholder className="mt-3 w-[420px]" /> + </div> + </div> + ) +} +export default React.memo(LoadingError) diff --git a/web/app/components/plugins/install-plugin/base/loading.tsx b/web/app/components/plugins/install-plugin/base/loading.tsx new file mode 100644 index 00000000000000..52cccc2cd081fb --- /dev/null +++ b/web/app/components/plugins/install-plugin/base/loading.tsx @@ -0,0 +1,23 @@ +'use client' +import React from 'react' +import Placeholder from '../../card/base/placeholder' +import Checkbox from '@/app/components/base/checkbox' + +const Loading = () => { + return ( + <div className='flex items-center space-x-2'> + <Checkbox + className='shrink-0' + checked={false} + disabled + /> + <div className='grow relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs'> + <Placeholder + wrapClassName='w-full' + /> + </div> + </div> + ) +} + +export default React.memo(Loading) diff --git a/web/app/components/plugins/install-plugin/base/use-get-icon.ts b/web/app/components/plugins/install-plugin/base/use-get-icon.ts new file mode 100644 index 00000000000000..bb46f27f539d90 --- /dev/null +++ b/web/app/components/plugins/install-plugin/base/use-get-icon.ts @@ -0,0 +1,16 @@ +import { useCallback } from 'react' +import { apiPrefix } from '@/config' +import { useSelector } from '@/context/app-context' + +const useGetIcon = () => { + const currentWorkspace = useSelector(s => s.currentWorkspace) + const getIconUrl = useCallback((fileName: string) => { + return `${apiPrefix}/workspaces/current/plugin/icon?tenant_id=${currentWorkspace.id}&filename=${fileName}` + }, [currentWorkspace.id]) + + return { + getIconUrl, + } +} + +export default useGetIcon diff --git a/web/app/components/plugins/install-plugin/base/version.tsx b/web/app/components/plugins/install-plugin/base/version.tsx new file mode 100644 index 00000000000000..67bbc8ed2e1f11 --- /dev/null +++ b/web/app/components/plugins/install-plugin/base/version.tsx @@ -0,0 +1,34 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import Badge, { BadgeState } from '@/app/components/base/badge/index' +import type { VersionProps } from '../../types' + +const Version: FC<VersionProps> = ({ + hasInstalled, + installedVersion, + toInstallVersion, +}) => { + return ( + <> + { + !hasInstalled + ? ( + <Badge className='mx-1' size="s" state={BadgeState.Default}>{toInstallVersion}</Badge> + ) + : ( + <> + <Badge className='mx-1' size="s" state={BadgeState.Warning}> + {`${installedVersion} -> ${toInstallVersion}`} + </Badge> + {/* <div className='flex px-0.5 justify-center items-center gap-0.5'> + <div className='text-text-warning system-xs-medium'>Used in 3 apps</div> + <RiInformation2Line className='w-4 h-4 text-text-tertiary' /> + </div> */} + </> + ) + } + </> + ) +} +export default React.memo(Version) diff --git a/web/app/components/plugins/install-plugin/hooks.ts b/web/app/components/plugins/install-plugin/hooks.ts new file mode 100644 index 00000000000000..5da4c75c519939 --- /dev/null +++ b/web/app/components/plugins/install-plugin/hooks.ts @@ -0,0 +1,107 @@ +import Toast, { type IToastProps } from '@/app/components/base/toast' +import { uploadGitHub } from '@/service/plugins' +import { compareVersion, getLatestVersion } from '@/utils/semver' +import type { GitHubRepoReleaseResponse } from '../types' +import { GITHUB_ACCESS_TOKEN } from '@/config' + +const formatReleases = (releases: any) => { + return releases.map((release: any) => ({ + tag_name: release.tag_name, + assets: release.assets.map((asset: any) => ({ + browser_download_url: asset.browser_download_url, + name: asset.name, + })), + })) +} + +export const useGitHubReleases = () => { + const fetchReleases = async (owner: string, repo: string) => { + try { + if (!GITHUB_ACCESS_TOKEN) { + // Fetch releases without authentication from client + const res = await fetch(`https://api.github.com/repos/${owner}/${repo}/releases`) + if (!res.ok) throw new Error('Failed to fetch repository releases') + const data = await res.json() + return formatReleases(data) + } + else { + // Fetch releases with authentication from server + const res = await fetch(`/repos/${owner}/${repo}/releases`) + const bodyJson = await res.json() + if (bodyJson.status !== 200) throw new Error(bodyJson.data.message) + return formatReleases(bodyJson.data) + } + } + catch (error) { + if (error instanceof Error) { + Toast.notify({ + type: 'error', + message: error.message, + }) + } + else { + Toast.notify({ + type: 'error', + message: 'Failed to fetch repository releases', + }) + } + return [] + } + } + + const checkForUpdates = (fetchedReleases: GitHubRepoReleaseResponse[], currentVersion: string) => { + let needUpdate = false + const toastProps: IToastProps = { + type: 'info', + message: 'No new version available', + } + if (fetchedReleases.length === 0) { + toastProps.type = 'error' + toastProps.message = 'Input releases is empty' + return { needUpdate, toastProps } + } + const versions = fetchedReleases.map(release => release.tag_name) + const latestVersion = getLatestVersion(versions) + try { + needUpdate = compareVersion(latestVersion, currentVersion) === 1 + if (needUpdate) + toastProps.message = `New version available: ${latestVersion}` + } + catch { + needUpdate = false + toastProps.type = 'error' + toastProps.message = 'Fail to compare versions, please check the version format' + } + return { needUpdate, toastProps } + } + + return { fetchReleases, checkForUpdates } +} + +export const useGitHubUpload = () => { + const handleUpload = async ( + repoUrl: string, + selectedVersion: string, + selectedPackage: string, + onSuccess?: (GitHubPackage: { manifest: any; unique_identifier: string }) => void, + ) => { + try { + const response = await uploadGitHub(repoUrl, selectedVersion, selectedPackage) + const GitHubPackage = { + manifest: response.manifest, + unique_identifier: response.unique_identifier, + } + if (onSuccess) onSuccess(GitHubPackage) + return GitHubPackage + } + catch (error) { + Toast.notify({ + type: 'error', + message: 'Error uploading package', + }) + throw error + } + } + + return { handleUpload } +} diff --git a/web/app/components/plugins/install-plugin/hooks/use-check-installed.tsx b/web/app/components/plugins/install-plugin/hooks/use-check-installed.tsx new file mode 100644 index 00000000000000..e9d83c8c873da3 --- /dev/null +++ b/web/app/components/plugins/install-plugin/hooks/use-check-installed.tsx @@ -0,0 +1,33 @@ +import { useCheckInstalled as useDoCheckInstalled } from '@/service/use-plugins' + +import { useMemo } from 'react' +import type { VersionInfo } from '../../types' +type Props = { + pluginIds: string[], + enabled: boolean +} +const useCheckInstalled = (props: Props) => { + const { data, isLoading, error } = useDoCheckInstalled(props) + + const installedInfo = useMemo(() => { + if (!data) + return undefined + + const res: Record<string, VersionInfo> = {} + data?.plugins.forEach((plugin) => { + res[plugin.plugin_id] = { + installedId: plugin.id, + installedVersion: plugin.declaration.version, + uniqueIdentifier: plugin.plugin_unique_identifier, + } + }) + return res + }, [data]) + return { + installedInfo, + isLoading, + error, + } +} + +export default useCheckInstalled diff --git a/web/app/components/plugins/install-plugin/hooks/use-fold-anim-into.ts b/web/app/components/plugins/install-plugin/hooks/use-fold-anim-into.ts new file mode 100644 index 00000000000000..4b8d5e82936a1b --- /dev/null +++ b/web/app/components/plugins/install-plugin/hooks/use-fold-anim-into.ts @@ -0,0 +1,57 @@ +import { sleep } from '@/utils' + +const animTime = 750 +const modalClassName = 'install-modal' +const COUNT_DOWN_TIME = 15000 // 15s + +function getElemCenter(elem: HTMLElement) { + const rect = elem.getBoundingClientRect() + return { + x: rect.left + rect.width / 2 + window.scrollX, + y: rect.top + rect.height / 2 + window.scrollY, + } +} + +const useFoldAnimInto = (onClose: () => void) => { + let countDownRunId: number + const clearCountDown = () => { + clearTimeout(countDownRunId) + } + // modalElem fold into plugin install task btn + const foldIntoAnim = async () => { + clearCountDown() + const modalElem = document.querySelector(`.${modalClassName}`) as HTMLElement + const pluginTaskTriggerElem = document.getElementById('plugin-task-trigger') || document.querySelector('.plugins-nav-button') + + if (!modalElem || !pluginTaskTriggerElem) { + onClose() + return + } + + const modelCenter = getElemCenter(modalElem) + const modalElemRect = modalElem.getBoundingClientRect() + const pluginTaskTriggerCenter = getElemCenter(pluginTaskTriggerElem) + const xDiff = pluginTaskTriggerCenter.x - modelCenter.x + const yDiff = pluginTaskTriggerCenter.y - modelCenter.y + const scale = 1 / Math.max(modalElemRect.width, modalElemRect.height) + modalElem.style.transition = `all cubic-bezier(0.4, 0, 0.2, 1) ${animTime}ms` + modalElem.style.transform = `translate(${xDiff}px, ${yDiff}px) scale(${scale})` + await sleep(animTime) + onClose() + } + + const countDownFoldIntoAnim = async () => { + countDownRunId = window.setTimeout(() => { + foldIntoAnim() + }, COUNT_DOWN_TIME) + } + + return { + modalClassName, + foldIntoAnim, + clearCountDown, + countDownFoldIntoAnim, + } +} + +export default useFoldAnimInto diff --git a/web/app/components/plugins/install-plugin/hooks/use-hide-logic.ts b/web/app/components/plugins/install-plugin/hooks/use-hide-logic.ts new file mode 100644 index 00000000000000..e5d2d1883ac530 --- /dev/null +++ b/web/app/components/plugins/install-plugin/hooks/use-hide-logic.ts @@ -0,0 +1,40 @@ +import { useCallback, useState } from 'react' +import useFoldAnimInto from './use-fold-anim-into' + +const useHideLogic = (onClose: () => void) => { + const { + modalClassName, + foldIntoAnim: doFoldAnimInto, + clearCountDown, + countDownFoldIntoAnim, + } = useFoldAnimInto(onClose) + + const [isInstalling, doSetIsInstalling] = useState(false) + const setIsInstalling = useCallback((isInstalling: boolean) => { + if (!isInstalling) + clearCountDown() + doSetIsInstalling(isInstalling) + }, [clearCountDown]) + + const foldAnimInto = useCallback(() => { + if (isInstalling) { + doFoldAnimInto() + return + } + onClose() + }, [doFoldAnimInto, isInstalling, onClose]) + + const handleStartToInstall = useCallback(() => { + setIsInstalling(true) + countDownFoldIntoAnim() + }, [countDownFoldIntoAnim, setIsInstalling]) + + return { + modalClassName, + foldAnimInto, + setIsInstalling, + handleStartToInstall, + } +} + +export default useHideLogic diff --git a/web/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list.tsx b/web/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list.tsx new file mode 100644 index 00000000000000..bb6c1baedb6a5a --- /dev/null +++ b/web/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list.tsx @@ -0,0 +1,50 @@ +import { useModelList } from '@/app/components/header/account-setting/model-provider-page/hooks' +import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import { useProviderContext } from '@/context/provider-context' +import { useInvalidateInstalledPluginList } from '@/service/use-plugins' +import { useInvalidateAllBuiltInTools, useInvalidateAllToolProviders } from '@/service/use-tools' +import { useInvalidateStrategyProviders } from '@/service/use-strategy' +import type { Plugin, PluginDeclaration, PluginManifestInMarket } from '../../types' +import { PluginType } from '../../types' + +const useRefreshPluginList = () => { + const invalidateInstalledPluginList = useInvalidateInstalledPluginList() + const { mutate: refetchLLMModelList } = useModelList(ModelTypeEnum.textGeneration) + const { mutate: refetchEmbeddingModelList } = useModelList(ModelTypeEnum.textEmbedding) + const { mutate: refetchRerankModelList } = useModelList(ModelTypeEnum.rerank) + const { refreshModelProviders } = useProviderContext() + + const invalidateAllToolProviders = useInvalidateAllToolProviders() + const invalidateAllBuiltInTools = useInvalidateAllBuiltInTools() + + const invalidateStrategyProviders = useInvalidateStrategyProviders() + return { + refreshPluginList: (manifest?: PluginManifestInMarket | Plugin | PluginDeclaration | null, refreshAllType?: boolean) => { + // installed list + invalidateInstalledPluginList() + + if (!manifest) return + + // tool page, tool select + if (PluginType.tool.includes(manifest.category) || refreshAllType) { + invalidateAllToolProviders() + invalidateAllBuiltInTools() + // TODO: update suggested tools. It's a function in hook useMarketplacePlugins,handleUpdatePlugins + } + + // model select + if (PluginType.model.includes(manifest.category) || refreshAllType) { + refreshModelProviders() + refetchLLMModelList() + refetchEmbeddingModelList() + refetchRerankModelList() + } + + // agent select + if (PluginType.agent.includes(manifest.category) || refreshAllType) + invalidateStrategyProviders() + }, + } +} + +export default useRefreshPluginList diff --git a/web/app/components/plugins/install-plugin/install-bundle/index.tsx b/web/app/components/plugins/install-plugin/install-bundle/index.tsx new file mode 100644 index 00000000000000..84750d65ad348e --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/index.tsx @@ -0,0 +1,75 @@ +'use client' +import type { FC } from 'react' +import Modal from '@/app/components/base/modal' +import React, { useCallback, useState } from 'react' +import { InstallStep } from '../../types' +import type { Dependency } from '../../types' +import ReadyToInstall from './ready-to-install' +import { useTranslation } from 'react-i18next' +import useHideLogic from '../hooks/use-hide-logic' +import cn from '@/utils/classnames' + +const i18nPrefix = 'plugin.installModal' + +export enum InstallType { + fromLocal = 'fromLocal', + fromMarketplace = 'fromMarketplace', + fromDSL = 'fromDSL', +} + +type Props = { + installType?: InstallType + fromDSLPayload: Dependency[] + // plugins?: PluginDeclaration[] + onClose: () => void +} + +const InstallBundle: FC<Props> = ({ + installType = InstallType.fromMarketplace, + fromDSLPayload, + onClose, +}) => { + const { t } = useTranslation() + const [step, setStep] = useState<InstallStep>(installType === InstallType.fromMarketplace ? InstallStep.readyToInstall : InstallStep.uploading) + + const { + modalClassName, + foldAnimInto, + setIsInstalling, + handleStartToInstall, + } = useHideLogic(onClose) + + const getTitle = useCallback(() => { + if (step === InstallStep.uploadFailed) + return t(`${i18nPrefix}.uploadFailed`) + if (step === InstallStep.installed) + return t(`${i18nPrefix}.installComplete`) + + return t(`${i18nPrefix}.installPlugin`) + }, [step, t]) + + return ( + <Modal + isShow={true} + onClose={foldAnimInto} + className={cn(modalClassName, 'flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadows-shadow-xl')} + closable + > + <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'> + <div className='self-stretch text-text-primary title-2xl-semi-bold'> + {getTitle()} + </div> + </div> + <ReadyToInstall + step={step} + onStepChange={setStep} + onStartToInstall={handleStartToInstall} + setIsInstalling={setIsInstalling} + allPlugins={fromDSLPayload} + onClose={onClose} + /> + </Modal> + ) +} + +export default React.memo(InstallBundle) diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/github-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/github-item.tsx new file mode 100644 index 00000000000000..96abaa2e1c05cf --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/item/github-item.tsx @@ -0,0 +1,62 @@ +'use client' +import type { FC } from 'react' +import React, { useEffect } from 'react' +import type { GitHubItemAndMarketPlaceDependency, Plugin } from '../../../types' +import { pluginManifestToCardPluginProps } from '../../utils' +import { useUploadGitHub } from '@/service/use-plugins' +import Loading from '../../base/loading' +import LoadedItem from './loaded-item' +import type { VersionProps } from '@/app/components/plugins/types' + +type Props = { + checked: boolean + onCheckedChange: (plugin: Plugin) => void + dependency: GitHubItemAndMarketPlaceDependency + versionInfo: VersionProps + onFetchedPayload: (payload: Plugin) => void + onFetchError: () => void +} + +const Item: FC<Props> = ({ + checked, + onCheckedChange, + dependency, + versionInfo, + onFetchedPayload, + onFetchError, +}) => { + const info = dependency.value + const { data, error } = useUploadGitHub({ + repo: info.repo!, + version: info.release! || info.version!, + package: info.packages! || info.package!, + }) + const [payload, setPayload] = React.useState<Plugin | null>(null) + useEffect(() => { + if (data) { + const payload = { + ...pluginManifestToCardPluginProps(data.manifest), + plugin_id: data.unique_identifier, + } + onFetchedPayload(payload) + setPayload(payload) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [data]) + useEffect(() => { + if (error) + onFetchError() + + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [error]) + if (!payload) return <Loading /> + return ( + <LoadedItem + payload={payload} + versionInfo={versionInfo} + checked={checked} + onCheckedChange={onCheckedChange} + /> + ) +} +export default React.memo(Item) diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/loaded-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/loaded-item.tsx new file mode 100644 index 00000000000000..5eb4c94abe8436 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/item/loaded-item.tsx @@ -0,0 +1,51 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { Plugin } from '../../../types' +import Card from '../../../card' +import Checkbox from '@/app/components/base/checkbox' +import useGetIcon from '../../base/use-get-icon' +import { MARKETPLACE_API_PREFIX } from '@/config' +import Version from '../../base/version' +import type { VersionProps } from '../../../types' + +type Props = { + checked: boolean + onCheckedChange: (plugin: Plugin) => void + payload: Plugin + isFromMarketPlace?: boolean + versionInfo: VersionProps +} + +const LoadedItem: FC<Props> = ({ + checked, + onCheckedChange, + payload, + isFromMarketPlace, + versionInfo: particleVersionInfo, +}) => { + const { getIconUrl } = useGetIcon() + const versionInfo = { + ...particleVersionInfo, + toInstallVersion: payload.version, + } + return ( + <div className='flex items-center space-x-2'> + <Checkbox + className='shrink-0' + checked={checked} + onCheck={() => onCheckedChange(payload)} + /> + <Card + className='grow' + payload={{ + ...payload, + icon: isFromMarketPlace ? `${MARKETPLACE_API_PREFIX}/plugins/${payload.org}/${payload.name}/icon` : getIconUrl(payload.icon), + }} + titleLeft={payload.version ? <Version {...versionInfo} /> : null} + /> + </div> + ) +} + +export default React.memo(LoadedItem) diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/marketplace-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/marketplace-item.tsx new file mode 100644 index 00000000000000..3389bdb0ad890e --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/item/marketplace-item.tsx @@ -0,0 +1,36 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { Plugin } from '../../../types' +import Loading from '../../base/loading' +import LoadedItem from './loaded-item' +import type { VersionProps } from '@/app/components/plugins/types' + +type Props = { + checked: boolean + onCheckedChange: (plugin: Plugin) => void + payload?: Plugin + version: string + versionInfo: VersionProps +} + +const MarketPlaceItem: FC<Props> = ({ + checked, + onCheckedChange, + payload, + version, + versionInfo, +}) => { + if (!payload) return <Loading /> + return ( + <LoadedItem + checked={checked} + onCheckedChange={onCheckedChange} + payload={{ ...payload, version }} + isFromMarketPlace + versionInfo={versionInfo} + /> + ) +} + +export default React.memo(MarketPlaceItem) diff --git a/web/app/components/plugins/install-plugin/install-bundle/item/package-item.tsx b/web/app/components/plugins/install-plugin/install-bundle/item/package-item.tsx new file mode 100644 index 00000000000000..101c8facaf21f4 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/item/package-item.tsx @@ -0,0 +1,41 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { Plugin } from '../../../types' +import type { PackageDependency } from '../../../types' +import { pluginManifestToCardPluginProps } from '../../utils' +import LoadedItem from './loaded-item' +import LoadingError from '../../base/loading-error' +import type { VersionProps } from '@/app/components/plugins/types' + +type Props = { + checked: boolean + onCheckedChange: (plugin: Plugin) => void + payload: PackageDependency + isFromMarketPlace?: boolean + versionInfo: VersionProps +} + +const PackageItem: FC<Props> = ({ + payload, + checked, + onCheckedChange, + isFromMarketPlace, + versionInfo, +}) => { + if (!payload.value?.manifest) + return <LoadingError /> + + const plugin = pluginManifestToCardPluginProps(payload.value.manifest) + return ( + <LoadedItem + payload={plugin} + checked={checked} + onCheckedChange={onCheckedChange} + isFromMarketPlace={isFromMarketPlace} + versionInfo={versionInfo} + /> + ) +} + +export default React.memo(PackageItem) diff --git a/web/app/components/plugins/install-plugin/install-bundle/ready-to-install.tsx b/web/app/components/plugins/install-plugin/install-bundle/ready-to-install.tsx new file mode 100644 index 00000000000000..63c0b5b07ed16a --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/ready-to-install.tsx @@ -0,0 +1,57 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useState } from 'react' +import { InstallStep } from '../../types' +import Install from './steps/install' +import Installed from './steps/installed' +import type { Dependency, InstallStatusResponse, Plugin } from '../../types' + +type Props = { + step: InstallStep + onStepChange: (step: InstallStep) => void, + onStartToInstall: () => void + setIsInstalling: (isInstalling: boolean) => void + allPlugins: Dependency[] + onClose: () => void + isFromMarketPlace?: boolean +} + +const ReadyToInstall: FC<Props> = ({ + step, + onStepChange, + onStartToInstall, + setIsInstalling, + allPlugins, + onClose, + isFromMarketPlace, +}) => { + const [installedPlugins, setInstalledPlugins] = useState<Plugin[]>([]) + const [installStatus, setInstallStatus] = useState<InstallStatusResponse[]>([]) + const handleInstalled = useCallback((plugins: Plugin[], installStatus: InstallStatusResponse[]) => { + setInstallStatus(installStatus) + setInstalledPlugins(plugins) + onStepChange(InstallStep.installed) + setIsInstalling(false) + }, [onStepChange, setIsInstalling]) + return ( + <> + {step === InstallStep.readyToInstall && ( + <Install + allPlugins={allPlugins} + onCancel={onClose} + onStartToInstall={onStartToInstall} + onInstalled={handleInstalled} + isFromMarketPlace={isFromMarketPlace} + /> + )} + {step === InstallStep.installed && ( + <Installed + list={installedPlugins} + installStatus={installStatus} + onCancel={onClose} + /> + )} + </> + ) +} +export default React.memo(ReadyToInstall) diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx new file mode 100644 index 00000000000000..40be3e65e63681 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/steps/install-multi.tsx @@ -0,0 +1,221 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useEffect, useMemo, useState } from 'react' +import type { Dependency, GitHubItemAndMarketPlaceDependency, PackageDependency, Plugin, VersionInfo } from '../../../types' +import MarketplaceItem from '../item/marketplace-item' +import GithubItem from '../item/github-item' +import { useFetchPluginsInMarketPlaceByIds, useFetchPluginsInMarketPlaceByInfo } from '@/service/use-plugins' +import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed' +import produce from 'immer' +import PackageItem from '../item/package-item' +import LoadingError from '../../base/loading-error' + +type Props = { + allPlugins: Dependency[] + selectedPlugins: Plugin[] + onSelect: (plugin: Plugin, selectedIndex: number) => void + onLoadedAllPlugin: (installedInfo: Record<string, VersionInfo>) => void + isFromMarketPlace?: boolean +} + +const InstallByDSLList: FC<Props> = ({ + allPlugins, + selectedPlugins, + onSelect, + onLoadedAllPlugin, + isFromMarketPlace, +}) => { + // DSL has id, to get plugin info to show more info + const { isLoading: isFetchingMarketplaceDataById, data: infoGetById, error: infoByIdError } = useFetchPluginsInMarketPlaceByIds(allPlugins.filter(d => d.type === 'marketplace').map(d => (d as GitHubItemAndMarketPlaceDependency).value.marketplace_plugin_unique_identifier!)) + // has meta(org,name,version), to get id + const { isLoading: isFetchingDataByMeta, data: infoByMeta, error: infoByMetaError } = useFetchPluginsInMarketPlaceByInfo(allPlugins.filter(d => d.type === 'marketplace').map(d => (d as GitHubItemAndMarketPlaceDependency).value!)) + + const [plugins, doSetPlugins] = useState<(Plugin | undefined)[]>((() => { + const hasLocalPackage = allPlugins.some(d => d.type === 'package') + if (!hasLocalPackage) + return [] + + const _plugins = allPlugins.map((d) => { + if (d.type === 'package') { + return { + ...(d as any).value.manifest, + plugin_id: (d as any).value.unique_identifier, + } + } + + return undefined + }) + return _plugins + })()) + + const pluginsRef = React.useRef<(Plugin | undefined)[]>(plugins) + + const setPlugins = useCallback((p: (Plugin | undefined)[]) => { + doSetPlugins(p) + pluginsRef.current = p + }, []) + + const [errorIndexes, setErrorIndexes] = useState<number[]>([]) + + const handleGitHubPluginFetched = useCallback((index: number) => { + return (p: Plugin) => { + const nextPlugins = produce(pluginsRef.current, (draft) => { + draft[index] = p + }) + setPlugins(nextPlugins) + } + }, [setPlugins]) + + const handleGitHubPluginFetchError = useCallback((index: number) => { + return () => { + setErrorIndexes([...errorIndexes, index]) + } + }, [errorIndexes]) + + const marketPlaceInDSLIndex = useMemo(() => { + const res: number[] = [] + allPlugins.forEach((d, index) => { + if (d.type === 'marketplace') + res.push(index) + }) + return res + }, [allPlugins]) + + useEffect(() => { + if (!isFetchingMarketplaceDataById && infoGetById?.data.plugins) { + const payloads = infoGetById?.data.plugins + const failedIndex: number[] = [] + const nextPlugins = produce(pluginsRef.current, (draft) => { + marketPlaceInDSLIndex.forEach((index, i) => { + if (payloads[i]) { + draft[index] = { + ...payloads[i], + version: payloads[i].version || payloads[i].latest_version, + } + } + else { failedIndex.push(index) } + }) + }) + setPlugins(nextPlugins) + + if (failedIndex.length > 0) + setErrorIndexes([...errorIndexes, ...failedIndex]) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [isFetchingMarketplaceDataById]) + + useEffect(() => { + if (!isFetchingDataByMeta && infoByMeta?.data.list) { + const payloads = infoByMeta?.data.list + const failedIndex: number[] = [] + const nextPlugins = produce(pluginsRef.current, (draft) => { + marketPlaceInDSLIndex.forEach((index, i) => { + if (payloads[i]) { + const item = payloads[i] + draft[index] = { + ...item.plugin, + plugin_id: item.version.unique_identifier, + } + } + else { + failedIndex.push(index) + } + }) + }) + setPlugins(nextPlugins) + if (failedIndex.length > 0) + setErrorIndexes([...errorIndexes, ...failedIndex]) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [isFetchingDataByMeta]) + + useEffect(() => { + // get info all failed + if (infoByMetaError || infoByIdError) + setErrorIndexes([...errorIndexes, ...marketPlaceInDSLIndex]) + + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [infoByMetaError, infoByIdError]) + + const isLoadedAllData = (plugins.filter(p => !!p).length + errorIndexes.length) === allPlugins.length + + const { installedInfo } = useCheckInstalled({ + pluginIds: plugins?.filter(p => !!p).map((d) => { + return `${d?.org || d?.author}/${d?.name}` + }) || [], + enabled: isLoadedAllData, + }) + + const getVersionInfo = useCallback((pluginId: string) => { + const pluginDetail = installedInfo?.[pluginId] + const hasInstalled = !!pluginDetail + return { + hasInstalled, + installedVersion: pluginDetail?.installedVersion, + toInstallVersion: '', + } + }, [installedInfo]) + + useEffect(() => { + if (isLoadedAllData && installedInfo) + onLoadedAllPlugin(installedInfo!) + + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [isLoadedAllData, installedInfo]) + + const handleSelect = useCallback((index: number) => { + return () => { + onSelect(plugins[index]!, index) + } + }, [onSelect, plugins]) + return ( + <> + {allPlugins.map((d, index) => { + if (errorIndexes.includes(index)) { + return ( + <LoadingError key={index} /> + ) + } + const plugin = plugins[index] + if (d.type === 'github') { + return (<GithubItem + key={index} + checked={!!selectedPlugins.find(p => p.plugin_id === plugins[index]?.plugin_id)} + onCheckedChange={handleSelect(index)} + dependency={d as GitHubItemAndMarketPlaceDependency} + onFetchedPayload={handleGitHubPluginFetched(index)} + onFetchError={handleGitHubPluginFetchError(index)} + versionInfo={getVersionInfo(`${plugin?.org || plugin?.author}/${plugin?.name}`)} + />) + } + + if (d.type === 'marketplace') { + return ( + <MarketplaceItem + key={index} + checked={!!selectedPlugins.find(p => p.plugin_id === plugins[index]?.plugin_id)} + onCheckedChange={handleSelect(index)} + payload={plugin} + version={(d as GitHubItemAndMarketPlaceDependency).value.version! || plugin?.version || ''} + versionInfo={getVersionInfo(`${plugin?.org || plugin?.author}/${plugin?.name}`)} + /> + ) + } + + // Local package + return ( + <PackageItem + key={index} + checked={!!selectedPlugins.find(p => p.plugin_id === plugins[index]?.plugin_id)} + onCheckedChange={handleSelect(index)} + payload={d as PackageDependency} + isFromMarketPlace={isFromMarketPlace} + versionInfo={getVersionInfo(`${plugin?.org || plugin?.author}/${plugin?.name}`)} + /> + ) + }) + } + </> + ) +} +export default React.memo(InstallByDSLList) diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx new file mode 100644 index 00000000000000..c70e2759d0e9b9 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/steps/install.tsx @@ -0,0 +1,116 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useState } from 'react' +import type { Dependency, InstallStatusResponse, Plugin, VersionInfo } from '../../../types' +import Button from '@/app/components/base/button' +import { RiLoader2Line } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import InstallMulti from './install-multi' +import { useInstallOrUpdate } from '@/service/use-plugins' +import useRefreshPluginList from '../../hooks/use-refresh-plugin-list' +const i18nPrefix = 'plugin.installModal' + +type Props = { + allPlugins: Dependency[] + onStartToInstall?: () => void + onInstalled: (plugins: Plugin[], installStatus: InstallStatusResponse[]) => void + onCancel: () => void + isFromMarketPlace?: boolean + isHideButton?: boolean +} + +const Install: FC<Props> = ({ + allPlugins, + onStartToInstall, + onInstalled, + onCancel, + isFromMarketPlace, + isHideButton, +}) => { + const { t } = useTranslation() + const [selectedPlugins, setSelectedPlugins] = React.useState<Plugin[]>([]) + const [selectedIndexes, setSelectedIndexes] = React.useState<number[]>([]) + const selectedPluginsNum = selectedPlugins.length + const { refreshPluginList } = useRefreshPluginList() + const handleSelect = (plugin: Plugin, selectedIndex: number) => { + const isSelected = !!selectedPlugins.find(p => p.plugin_id === plugin.plugin_id) + let nextSelectedPlugins + if (isSelected) + nextSelectedPlugins = selectedPlugins.filter(p => p.plugin_id !== plugin.plugin_id) + else + nextSelectedPlugins = [...selectedPlugins, plugin] + setSelectedPlugins(nextSelectedPlugins) + const nextSelectedIndexes = isSelected ? selectedIndexes.filter(i => i !== selectedIndex) : [...selectedIndexes, selectedIndex] + setSelectedIndexes(nextSelectedIndexes) + } + + const [canInstall, setCanInstall] = React.useState(false) + const [installedInfo, setInstalledInfo] = useState<Record<string, VersionInfo> | undefined>(undefined) + + const handleLoadedAllPlugin = useCallback((installedInfo: Record<string, VersionInfo> | undefined) => { + setInstalledInfo(installedInfo) + setCanInstall(true) + }, []) + + // Install from marketplace and github + const { mutate: installOrUpdate, isPending: isInstalling } = useInstallOrUpdate({ + onSuccess: (res: InstallStatusResponse[]) => { + onInstalled(selectedPlugins, res.map((r, i) => { + return ({ + ...r, + isFromMarketPlace: allPlugins[selectedIndexes[i]].type === 'marketplace', + }) + })) + const hasInstallSuccess = res.some(r => r.success) + if (hasInstallSuccess) + refreshPluginList(undefined, true) + }, + }) + const handleInstall = () => { + onStartToInstall?.() + installOrUpdate({ + payload: allPlugins.filter((_d, index) => selectedIndexes.includes(index)), + plugin: selectedPlugins, + installedInfo: installedInfo!, + }) + } + return ( + <> + <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'> + <div className='text-text-secondary system-md-regular'> + <p>{t(`${i18nPrefix}.${selectedPluginsNum > 1 ? 'readyToInstallPackages' : 'readyToInstallPackage'}`, { num: selectedPluginsNum })}</p> + </div> + <div className='w-full p-2 rounded-2xl bg-background-section-burn space-y-1'> + <InstallMulti + allPlugins={allPlugins} + selectedPlugins={selectedPlugins} + onSelect={handleSelect} + onLoadedAllPlugin={handleLoadedAllPlugin} + isFromMarketPlace={isFromMarketPlace} + /> + </div> + </div> + {/* Action Buttons */} + {!isHideButton && ( + <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'> + {!canInstall && ( + <Button variant='secondary' className='min-w-[72px]' onClick={onCancel}> + {t('common.operation.cancel')} + </Button> + )} + <Button + variant='primary' + className='min-w-[72px] flex space-x-0.5' + disabled={!canInstall || isInstalling || selectedPlugins.length === 0} + onClick={handleInstall} + > + {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />} + <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span> + </Button> + </div> + )} + + </> + ) +} +export default React.memo(Install) diff --git a/web/app/components/plugins/install-plugin/install-bundle/steps/installed.tsx b/web/app/components/plugins/install-plugin/install-bundle/steps/installed.tsx new file mode 100644 index 00000000000000..8f267cafcca478 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-bundle/steps/installed.tsx @@ -0,0 +1,65 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { InstallStatusResponse, Plugin } from '../../../types' +import Card from '@/app/components/plugins/card' +import Button from '@/app/components/base/button' +import { useTranslation } from 'react-i18next' +import Badge, { BadgeState } from '@/app/components/base/badge/index' +import useGetIcon from '../../base/use-get-icon' +import { MARKETPLACE_API_PREFIX } from '@/config' + +type Props = { + list: Plugin[] + installStatus: InstallStatusResponse[] + onCancel: () => void + isHideButton?: boolean +} + +const Installed: FC<Props> = ({ + list, + installStatus, + onCancel, + isHideButton, +}) => { + const { t } = useTranslation() + const { getIconUrl } = useGetIcon() + return ( + <> + <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'> + {/* <p className='text-text-secondary system-md-regular'>{(isFailed && errMsg) ? errMsg : t(`plugin.installModal.${isFailed ? 'installFailedDesc' : 'installedSuccessfullyDesc'}`)}</p> */} + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn space-y-1'> + {list.map((plugin, index) => { + return ( + <Card + key={plugin.plugin_id} + className='w-full' + payload={{ + ...plugin, + icon: installStatus[index].isFromMarketPlace ? `${MARKETPLACE_API_PREFIX}/plugins/${plugin.org}/${plugin.name}/icon` : getIconUrl(plugin.icon), + }} + installed={installStatus[index].success} + installFailed={!installStatus[index].success} + titleLeft={plugin.version ? <Badge className='mx-1' size="s" state={BadgeState.Default}>{plugin.version}</Badge> : null} + /> + ) + })} + </div> + </div> + {/* Action Buttons */} + {!isHideButton && ( + <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'> + <Button + variant='primary' + className='min-w-[72px]' + onClick={onCancel} + > + {t('common.operation.close')} + </Button> + </div> + )} + </> + ) +} + +export default React.memo(Installed) diff --git a/web/app/components/plugins/install-plugin/install-from-github/index.tsx b/web/app/components/plugins/install-plugin/install-from-github/index.tsx new file mode 100644 index 00000000000000..53466000cdf758 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-github/index.tsx @@ -0,0 +1,235 @@ +'use client' + +import React, { useCallback, useState } from 'react' +import Modal from '@/app/components/base/modal' +import type { Item } from '@/app/components/base/select' +import type { InstallState } from '@/app/components/plugins/types' +import { useGitHubReleases } from '../hooks' +import { convertRepoToUrl, parseGitHubUrl } from '../utils' +import type { PluginDeclaration, UpdateFromGitHubPayload } from '../../types' +import { InstallStepFromGitHub } from '../../types' +import Toast from '@/app/components/base/toast' +import SetURL from './steps/setURL' +import SelectPackage from './steps/selectPackage' +import Installed from '../base/installed' +import Loaded from './steps/loaded' +import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon' +import { useTranslation } from 'react-i18next' +import useRefreshPluginList from '../hooks/use-refresh-plugin-list' +import cn from '@/utils/classnames' +import useHideLogic from '../hooks/use-hide-logic' + +const i18nPrefix = 'plugin.installFromGitHub' + +type InstallFromGitHubProps = { + updatePayload?: UpdateFromGitHubPayload + onClose: () => void + onSuccess: () => void +} + +const InstallFromGitHub: React.FC<InstallFromGitHubProps> = ({ updatePayload, onClose, onSuccess }) => { + const { t } = useTranslation() + const { getIconUrl } = useGetIcon() + const { fetchReleases } = useGitHubReleases() + const { refreshPluginList } = useRefreshPluginList() + + const { + modalClassName, + foldAnimInto, + setIsInstalling, + handleStartToInstall, + } = useHideLogic(onClose) + + const [state, setState] = useState<InstallState>({ + step: updatePayload ? InstallStepFromGitHub.selectPackage : InstallStepFromGitHub.setUrl, + repoUrl: updatePayload?.originalPackageInfo?.repo + ? convertRepoToUrl(updatePayload.originalPackageInfo.repo) + : '', + selectedVersion: '', + selectedPackage: '', + releases: updatePayload ? updatePayload.originalPackageInfo.releases : [], + }) + const [uniqueIdentifier, setUniqueIdentifier] = useState<string | null>(null) + const [manifest, setManifest] = useState<PluginDeclaration | null>(null) + const [errorMsg, setErrorMsg] = useState<string | null>(null) + + const versions: Item[] = state.releases.map(release => ({ + value: release.tag_name, + name: release.tag_name, + })) + + const packages: Item[] = state.selectedVersion + ? (state.releases + .find(release => release.tag_name === state.selectedVersion) + ?.assets + .map(asset => ({ + value: asset.name, + name: asset.name, + })) || []) + : [] + + const getTitle = useCallback(() => { + if (state.step === InstallStepFromGitHub.installed) + return t(`${i18nPrefix}.installedSuccessfully`) + if (state.step === InstallStepFromGitHub.installFailed) + return t(`${i18nPrefix}.installFailed`) + + return updatePayload ? t(`${i18nPrefix}.updatePlugin`) : t(`${i18nPrefix}.installPlugin`) + }, [state.step, t, updatePayload]) + + const handleUrlSubmit = async () => { + const { isValid, owner, repo } = parseGitHubUrl(state.repoUrl) + if (!isValid || !owner || !repo) { + Toast.notify({ + type: 'error', + message: t('plugin.error.inValidGitHubUrl'), + }) + return + } + try { + const fetchedReleases = await fetchReleases(owner, repo) + if (fetchedReleases.length > 0) { + setState(prevState => ({ + ...prevState, + releases: fetchedReleases, + step: InstallStepFromGitHub.selectPackage, + })) + } + else { + Toast.notify({ + type: 'error', + message: t('plugin.error.noReleasesFound'), + }) + } + } + catch (error) { + Toast.notify({ + type: 'error', + message: t('plugin.error.fetchReleasesError'), + }) + } + } + + const handleError = (e: any, isInstall: boolean) => { + const message = e?.response?.message || t('plugin.installModal.installFailedDesc') + setErrorMsg(message) + setState(prevState => ({ ...prevState, step: isInstall ? InstallStepFromGitHub.installFailed : InstallStepFromGitHub.uploadFailed })) + } + + const handleUploaded = async (GitHubPackage: any) => { + try { + const icon = await getIconUrl(GitHubPackage.manifest.icon) + setManifest({ + ...GitHubPackage.manifest, + icon, + }) + setUniqueIdentifier(GitHubPackage.uniqueIdentifier) + setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.readyToInstall })) + } + catch (e) { + handleError(e, false) + } + } + + const handleUploadFail = useCallback((errorMsg: string) => { + setErrorMsg(errorMsg) + setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.uploadFailed })) + }, []) + + const handleInstalled = useCallback((notRefresh?: boolean) => { + setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.installed })) + if (!notRefresh) + refreshPluginList(manifest) + setIsInstalling(false) + onSuccess() + }, [manifest, onSuccess, refreshPluginList, setIsInstalling]) + + const handleFailed = useCallback((errorMsg?: string) => { + setState(prevState => ({ ...prevState, step: InstallStepFromGitHub.installFailed })) + setIsInstalling(false) + if (errorMsg) + setErrorMsg(errorMsg) + }, [setIsInstalling]) + + const handleBack = () => { + setState((prevState) => { + switch (prevState.step) { + case InstallStepFromGitHub.selectPackage: + return { ...prevState, step: InstallStepFromGitHub.setUrl } + case InstallStepFromGitHub.readyToInstall: + return { ...prevState, step: InstallStepFromGitHub.selectPackage } + default: + return prevState + } + }) + } + + return ( + <Modal + isShow={true} + onClose={foldAnimInto} + className={cn(modalClassName, `flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px] + border-components-panel-border bg-components-panel-bg shadows-shadow-xl`)} + closable + > + <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'> + <div className='flex flex-col items-start gap-1 grow'> + <div className='self-stretch text-text-primary title-2xl-semi-bold'> + {getTitle()} + </div> + <div className='self-stretch text-text-tertiary system-xs-regular'> + {!([InstallStepFromGitHub.uploadFailed, InstallStepFromGitHub.installed, InstallStepFromGitHub.installFailed].includes(state.step)) && t('plugin.installFromGitHub.installNote')} + </div> + </div> + </div> + {([InstallStepFromGitHub.uploadFailed, InstallStepFromGitHub.installed, InstallStepFromGitHub.installFailed].includes(state.step)) + ? <Installed + payload={manifest} + isFailed={[InstallStepFromGitHub.uploadFailed, InstallStepFromGitHub.installFailed].includes(state.step)} + errMsg={errorMsg} + onCancel={onClose} + /> + : <div className={`flex px-6 py-3 flex-col justify-center items-start self-stretch ${state.step === InstallStepFromGitHub.installed ? 'gap-2' : 'gap-4'}`}> + {state.step === InstallStepFromGitHub.setUrl && ( + <SetURL + repoUrl={state.repoUrl} + onChange={value => setState(prevState => ({ ...prevState, repoUrl: value }))} + onNext={handleUrlSubmit} + onCancel={onClose} + /> + )} + {state.step === InstallStepFromGitHub.selectPackage && ( + <SelectPackage + updatePayload={updatePayload!} + repoUrl={state.repoUrl} + selectedVersion={state.selectedVersion} + versions={versions} + onSelectVersion={item => setState(prevState => ({ ...prevState, selectedVersion: item.value as string }))} + selectedPackage={state.selectedPackage} + packages={packages} + onSelectPackage={item => setState(prevState => ({ ...prevState, selectedPackage: item.value as string }))} + onUploaded={handleUploaded} + onFailed={handleUploadFail} + onBack={handleBack} + /> + )} + {state.step === InstallStepFromGitHub.readyToInstall && ( + <Loaded + updatePayload={updatePayload!} + uniqueIdentifier={uniqueIdentifier!} + payload={manifest as any} + repoUrl={state.repoUrl} + selectedVersion={state.selectedVersion} + selectedPackage={state.selectedPackage} + onBack={handleBack} + onStartToInstall={handleStartToInstall} + onInstalled={handleInstalled} + onFailed={handleFailed} + /> + )} + </div>} + </Modal> + ) +} + +export default InstallFromGitHub diff --git a/web/app/components/plugins/install-plugin/install-from-github/steps/loaded.tsx b/web/app/components/plugins/install-plugin/install-from-github/steps/loaded.tsx new file mode 100644 index 00000000000000..6c3fa7a7bc5059 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-github/steps/loaded.tsx @@ -0,0 +1,180 @@ +'use client' + +import React, { useEffect } from 'react' +import Button from '@/app/components/base/button' +import { type Plugin, type PluginDeclaration, TaskStatus, type UpdateFromGitHubPayload } from '../../../types' +import Card from '../../../card' +import { pluginManifestToCardPluginProps } from '../../utils' +import { useTranslation } from 'react-i18next' +import { updateFromGitHub } from '@/service/plugins' +import { useInstallPackageFromGitHub } from '@/service/use-plugins' +import { RiLoader2Line } from '@remixicon/react' +import { usePluginTaskList } from '@/service/use-plugins' +import checkTaskStatus from '../../base/check-task-status' +import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed' +import { parseGitHubUrl } from '../../utils' +import Version from '../../base/version' + +type LoadedProps = { + updatePayload: UpdateFromGitHubPayload + uniqueIdentifier: string + payload: PluginDeclaration | Plugin + repoUrl: string + selectedVersion: string + selectedPackage: string + onBack: () => void + onStartToInstall?: () => void + onInstalled: (notRefresh?: boolean) => void + onFailed: (message?: string) => void +} + +const i18nPrefix = 'plugin.installModal' + +const Loaded: React.FC<LoadedProps> = ({ + updatePayload, + uniqueIdentifier, + payload, + repoUrl, + selectedVersion, + selectedPackage, + onBack, + onStartToInstall, + onInstalled, + onFailed, +}) => { + const { t } = useTranslation() + const toInstallVersion = payload.version + const pluginId = (payload as Plugin).plugin_id + const { installedInfo, isLoading } = useCheckInstalled({ + pluginIds: [pluginId], + enabled: !!pluginId, + }) + const installedInfoPayload = installedInfo?.[pluginId] + const installedVersion = installedInfoPayload?.installedVersion + const hasInstalled = !!installedVersion + + const [isInstalling, setIsInstalling] = React.useState(false) + const { mutateAsync: installPackageFromGitHub } = useInstallPackageFromGitHub() + const { handleRefetch } = usePluginTaskList(payload.category) + const { check } = checkTaskStatus() + + useEffect(() => { + if (hasInstalled && uniqueIdentifier === installedInfoPayload.uniqueIdentifier) + onInstalled() + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [hasInstalled]) + + const handleInstall = async () => { + if (isInstalling) return + setIsInstalling(true) + onStartToInstall?.() + + try { + const { owner, repo } = parseGitHubUrl(repoUrl) + let taskId + let isInstalled + if (updatePayload) { + const { all_installed, task_id } = await updateFromGitHub( + `${owner}/${repo}`, + selectedVersion, + selectedPackage, + updatePayload.originalPackageInfo.id, + uniqueIdentifier, + ) + + taskId = task_id + isInstalled = all_installed + } + else { + if (hasInstalled) { + const { + all_installed, + task_id, + } = await updateFromGitHub( + `${owner}/${repo}`, + selectedVersion, + selectedPackage, + installedInfoPayload.uniqueIdentifier, + uniqueIdentifier, + ) + taskId = task_id + isInstalled = all_installed + } + else { + const { all_installed, task_id } = await installPackageFromGitHub({ + repoUrl: `${owner}/${repo}`, + selectedVersion, + selectedPackage, + uniqueIdentifier, + }) + + taskId = task_id + isInstalled = all_installed + } + } + if (isInstalled) { + onInstalled() + return + } + + handleRefetch() + + const { status, error } = await check({ + taskId, + pluginUniqueIdentifier: uniqueIdentifier, + }) + if (status === TaskStatus.failed) { + onFailed(error) + return + } + onInstalled(true) + } + catch (e) { + if (typeof e === 'string') { + onFailed(e) + return + } + onFailed() + } + finally { + setIsInstalling(false) + } + } + + return ( + <> + <div className='text-text-secondary system-md-regular'> + <p>{t(`${i18nPrefix}.readyToInstall`)}</p> + </div> + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'> + <Card + className='w-full' + payload={pluginManifestToCardPluginProps(payload as PluginDeclaration)} + titleLeft={!isLoading && <Version + hasInstalled={hasInstalled} + installedVersion={installedVersion} + toInstallVersion={toInstallVersion} + />} + /> + </div> + <div className='flex justify-end items-center gap-2 self-stretch mt-4'> + {!isInstalling && ( + <Button variant='secondary' className='min-w-[72px]' onClick={onBack}> + {t('plugin.installModal.back')} + </Button> + )} + <Button + variant='primary' + className='min-w-[72px] flex space-x-0.5' + onClick={handleInstall} + disabled={isInstalling || isLoading} + > + {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />} + <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span> + </Button> + </div> + </> + ) +} + +export default Loaded diff --git a/web/app/components/plugins/install-plugin/install-from-github/steps/selectPackage.tsx b/web/app/components/plugins/install-plugin/install-from-github/steps/selectPackage.tsx new file mode 100644 index 00000000000000..47a5d864980d49 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-github/steps/selectPackage.tsx @@ -0,0 +1,125 @@ +'use client' + +import React from 'react' +import type { Item } from '@/app/components/base/select' +import { PortalSelect } from '@/app/components/base/select' +import Button from '@/app/components/base/button' +import type { PluginDeclaration, UpdateFromGitHubPayload } from '../../../types' +import { useTranslation } from 'react-i18next' +import { useGitHubUpload } from '../../hooks' + +const i18nPrefix = 'plugin.installFromGitHub' + +type SelectPackageProps = { + updatePayload: UpdateFromGitHubPayload + repoUrl: string + selectedVersion: string + versions: Item[] + onSelectVersion: (item: Item) => void + selectedPackage: string + packages: Item[] + onSelectPackage: (item: Item) => void + onUploaded: (result: { + uniqueIdentifier: string + manifest: PluginDeclaration + }) => void + onFailed: (errorMsg: string) => void + onBack: () => void +} + +const SelectPackage: React.FC<SelectPackageProps> = ({ + updatePayload, + repoUrl, + selectedVersion, + versions, + onSelectVersion, + selectedPackage, + packages, + onSelectPackage, + onUploaded, + onFailed, + onBack, +}) => { + const { t } = useTranslation() + const isEdit = Boolean(updatePayload) + const [isUploading, setIsUploading] = React.useState(false) + const { handleUpload } = useGitHubUpload() + + const handleUploadPackage = async () => { + if (isUploading) return + setIsUploading(true) + try { + const repo = repoUrl.replace('https://github.com/', '') + await handleUpload(repo, selectedVersion, selectedPackage, (GitHubPackage) => { + onUploaded({ + uniqueIdentifier: GitHubPackage.unique_identifier, + manifest: GitHubPackage.manifest, + }) + }) + } + catch (e: any) { + if (e.response?.message) + onFailed(e.response?.message) + else + onFailed(t(`${i18nPrefix}.uploadFailed`)) + } + finally { + setIsUploading(false) + } + } + + return ( + <> + <label + htmlFor='version' + className='flex flex-col justify-center items-start self-stretch text-text-secondary' + > + <span className='system-sm-semibold'>{t(`${i18nPrefix}.selectVersion`)}</span> + </label> + <PortalSelect + value={selectedVersion} + onSelect={onSelectVersion} + items={versions} + installedValue={updatePayload?.originalPackageInfo.version} + placeholder={t(`${i18nPrefix}.selectVersionPlaceholder`) || ''} + popupClassName='w-[512px] z-[1001]' + /> + <label + htmlFor='package' + className='flex flex-col justify-center items-start self-stretch text-text-secondary' + > + <span className='system-sm-semibold'>{t(`${i18nPrefix}.selectPackage`)}</span> + </label> + <PortalSelect + value={selectedPackage} + onSelect={onSelectPackage} + items={packages} + readonly={!selectedVersion} + placeholder={t(`${i18nPrefix}.selectPackagePlaceholder`) || ''} + popupClassName='w-[512px] z-[1001]' + /> + <div className='flex justify-end items-center gap-2 self-stretch mt-4'> + {!isEdit + && <Button + variant='secondary' + className='min-w-[72px]' + onClick={onBack} + disabled={isUploading} + > + {t('plugin.installModal.back')} + </Button> + } + <Button + variant='primary' + className='min-w-[72px]' + onClick={handleUploadPackage} + disabled={!selectedVersion || !selectedPackage || isUploading} + > + {t('plugin.installModal.next')} + </Button> + </div> + </> + ) +} + +export default SelectPackage diff --git a/web/app/components/plugins/install-plugin/install-from-github/steps/setURL.tsx b/web/app/components/plugins/install-plugin/install-from-github/steps/setURL.tsx new file mode 100644 index 00000000000000..c6ce006f37f3f6 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-github/steps/setURL.tsx @@ -0,0 +1,56 @@ +'use client' + +import React from 'react' +import Button from '@/app/components/base/button' +import { useTranslation } from 'react-i18next' + +type SetURLProps = { + repoUrl: string + onChange: (value: string) => void + onNext: () => void + onCancel: () => void +} + +const SetURL: React.FC<SetURLProps> = ({ repoUrl, onChange, onNext, onCancel }) => { + const { t } = useTranslation() + return ( + <> + <label + htmlFor='repoUrl' + className='flex flex-col justify-center items-start self-stretch text-text-secondary' + > + <span className='system-sm-semibold'>{t('plugin.installFromGitHub.gitHubRepo')}</span> + </label> + <input + type='url' + id='repoUrl' + name='repoUrl' + value={repoUrl} + onChange={e => onChange(e.target.value)} + className='flex items-center self-stretch rounded-lg border border-components-input-border-active + bg-components-input-bg-active shadows-shadow-xs p-2 gap-[2px] flex-grow overflow-hidden + text-components-input-text-filled text-ellipsis system-sm-regular' + placeholder='Please enter GitHub repo URL' + /> + <div className='flex justify-end items-center gap-2 self-stretch mt-4'> + <Button + variant='secondary' + className='min-w-[72px]' + onClick={onCancel} + > + {t('plugin.installModal.cancel')} + </Button> + <Button + variant='primary' + className='min-w-[72px]' + onClick={onNext} + disabled={!repoUrl.trim()} + > + {t('plugin.installModal.next')} + </Button> + </div> + </> + ) +} + +export default SetURL diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/index.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/index.tsx new file mode 100644 index 00000000000000..b37ab60079985b --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-local-package/index.tsx @@ -0,0 +1,133 @@ +'use client' + +import React, { useCallback, useState } from 'react' +import Modal from '@/app/components/base/modal' +import type { Dependency, PluginDeclaration } from '../../types' +import { InstallStep } from '../../types' +import Uploading from './steps/uploading' +import { useTranslation } from 'react-i18next' +import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon' +import ReadyToInstallPackage from './ready-to-install' +import ReadyToInstallBundle from '../install-bundle/ready-to-install' +import useHideLogic from '../hooks/use-hide-logic' +import cn from '@/utils/classnames' + +const i18nPrefix = 'plugin.installModal' + +type InstallFromLocalPackageProps = { + file: File + onSuccess: () => void + onClose: () => void +} + +const InstallFromLocalPackage: React.FC<InstallFromLocalPackageProps> = ({ + file, + onClose, +}) => { + const { t } = useTranslation() + // uploading -> !uploadFailed -> readyToInstall -> installed/failed + const [step, setStep] = useState<InstallStep>(InstallStep.uploading) + const [uniqueIdentifier, setUniqueIdentifier] = useState<string | null>(null) + const [manifest, setManifest] = useState<PluginDeclaration | null>(null) + const [errorMsg, setErrorMsg] = useState<string | null>(null) + const isBundle = file.name.endsWith('.difybndl') + const [dependencies, setDependencies] = useState<Dependency[]>([]) + + const { + modalClassName, + foldAnimInto, + setIsInstalling, + handleStartToInstall, + } = useHideLogic(onClose) + + const getTitle = useCallback(() => { + if (step === InstallStep.uploadFailed) + return t(`${i18nPrefix}.uploadFailed`) + if (isBundle && step === InstallStep.installed) + return t(`${i18nPrefix}.installComplete`) + if (step === InstallStep.installed) + return t(`${i18nPrefix}.installedSuccessfully`) + if (step === InstallStep.installFailed) + return t(`${i18nPrefix}.installFailed`) + + return t(`${i18nPrefix}.installPlugin`) + }, [isBundle, step, t]) + + const { getIconUrl } = useGetIcon() + + const handlePackageUploaded = useCallback(async (result: { + uniqueIdentifier: string + manifest: PluginDeclaration + }) => { + const { + manifest, + uniqueIdentifier, + } = result + const icon = await getIconUrl(manifest!.icon) + setUniqueIdentifier(uniqueIdentifier) + setManifest({ + ...manifest, + icon, + }) + setStep(InstallStep.readyToInstall) + }, [getIconUrl]) + + const handleBundleUploaded = useCallback((result: Dependency[]) => { + setDependencies(result) + setStep(InstallStep.readyToInstall) + }, []) + + const handleUploadFail = useCallback((errorMsg: string) => { + setErrorMsg(errorMsg) + setStep(InstallStep.uploadFailed) + }, []) + + return ( + <Modal + isShow={true} + onClose={foldAnimInto} + className={cn(modalClassName, 'flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadows-shadow-xl')} + closable + > + <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'> + <div className='self-stretch text-text-primary title-2xl-semi-bold'> + {getTitle()} + </div> + </div> + {step === InstallStep.uploading && ( + <Uploading + isBundle={isBundle} + file={file} + onCancel={onClose} + onPackageUploaded={handlePackageUploaded} + onBundleUploaded={handleBundleUploaded} + onFailed={handleUploadFail} + /> + )} + {isBundle ? ( + <ReadyToInstallBundle + step={step} + onStepChange={setStep} + onStartToInstall={handleStartToInstall} + setIsInstalling={setIsInstalling} + onClose={onClose} + allPlugins={dependencies} + /> + ) : ( + <ReadyToInstallPackage + step={step} + onStepChange={setStep} + onStartToInstall={handleStartToInstall} + setIsInstalling={setIsInstalling} + onClose={onClose} + uniqueIdentifier={uniqueIdentifier} + manifest={manifest} + errorMsg={errorMsg} + onError={setErrorMsg} + /> + )} + </Modal> + ) +} + +export default InstallFromLocalPackage diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/ready-to-install.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/ready-to-install.tsx new file mode 100644 index 00000000000000..f85cde1e2a8614 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-local-package/ready-to-install.tsx @@ -0,0 +1,76 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback } from 'react' +import type { PluginDeclaration } from '../../types' +import { InstallStep } from '../../types' +import Install from './steps/install' +import Installed from '../base/installed' +import useRefreshPluginList from '../hooks/use-refresh-plugin-list' + +type Props = { + step: InstallStep + onStepChange: (step: InstallStep) => void, + onStartToInstall: () => void + setIsInstalling: (isInstalling: boolean) => void + onClose: () => void + uniqueIdentifier: string | null, + manifest: PluginDeclaration | null, + errorMsg: string | null, + onError: (errorMsg: string) => void, +} + +const ReadyToInstall: FC<Props> = ({ + step, + onStepChange, + onStartToInstall, + setIsInstalling, + onClose, + uniqueIdentifier, + manifest, + errorMsg, + onError, +}) => { + const { refreshPluginList } = useRefreshPluginList() + + const handleInstalled = useCallback((notRefresh?: boolean) => { + onStepChange(InstallStep.installed) + if (!notRefresh) + refreshPluginList(manifest) + setIsInstalling(false) + }, [manifest, onStepChange, refreshPluginList, setIsInstalling]) + + const handleFailed = useCallback((errorMsg?: string) => { + onStepChange(InstallStep.installFailed) + setIsInstalling(false) + if (errorMsg) + onError(errorMsg) + }, [onError, onStepChange, setIsInstalling]) + + return ( + <> + { + step === InstallStep.readyToInstall && ( + <Install + uniqueIdentifier={uniqueIdentifier!} + payload={manifest!} + onCancel={onClose} + onInstalled={handleInstalled} + onFailed={handleFailed} + onStartToInstall={onStartToInstall} + /> + ) + } + { + ([InstallStep.uploadFailed, InstallStep.installed, InstallStep.installFailed].includes(step)) && ( + <Installed + payload={manifest} + isFailed={[InstallStep.uploadFailed, InstallStep.installFailed].includes(step)} + errMsg={errorMsg} + onCancel={onClose} + /> + ) + } + </> + ) +} +export default React.memo(ReadyToInstall) diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/steps/install.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/steps/install.tsx new file mode 100644 index 00000000000000..f0d43e9418eed9 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-local-package/steps/install.tsx @@ -0,0 +1,150 @@ +'use client' +import type { FC } from 'react' +import React, { useEffect } from 'react' +import { type PluginDeclaration, TaskStatus } from '../../../types' +import Card from '../../../card' +import { pluginManifestToCardPluginProps } from '../../utils' +import Button from '@/app/components/base/button' +import { Trans, useTranslation } from 'react-i18next' +import { RiLoader2Line } from '@remixicon/react' +import checkTaskStatus from '../../base/check-task-status' +import { useInstallPackageFromLocal, usePluginTaskList } from '@/service/use-plugins' +import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed' +import { uninstallPlugin } from '@/service/plugins' +import Version from '../../base/version' + +const i18nPrefix = 'plugin.installModal' + +type Props = { + uniqueIdentifier: string + payload: PluginDeclaration + onCancel: () => void + onStartToInstall?: () => void + onInstalled: (notRefresh?: boolean) => void + onFailed: (message?: string) => void +} + +const Installed: FC<Props> = ({ + uniqueIdentifier, + payload, + onCancel, + onStartToInstall, + onInstalled, + onFailed, +}) => { + const { t } = useTranslation() + const toInstallVersion = payload.version + const pluginId = `${payload.author}/${payload.name}` + const { installedInfo, isLoading } = useCheckInstalled({ + pluginIds: [pluginId], + enabled: !!pluginId, + }) + const installedInfoPayload = installedInfo?.[pluginId] + const installedVersion = installedInfoPayload?.installedVersion + const hasInstalled = !!installedVersion + + useEffect(() => { + if (hasInstalled && uniqueIdentifier === installedInfoPayload.uniqueIdentifier) + onInstalled() + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [hasInstalled]) + + const [isInstalling, setIsInstalling] = React.useState(false) + const { mutateAsync: installPackageFromLocal } = useInstallPackageFromLocal() + + const { + check, + stop, + } = checkTaskStatus() + + const handleCancel = () => { + stop() + onCancel() + } + + const { handleRefetch } = usePluginTaskList(payload.category) + const handleInstall = async () => { + if (isInstalling) return + setIsInstalling(true) + onStartToInstall?.() + + try { + if (hasInstalled) + await uninstallPlugin(installedInfoPayload.installedId) + + const { + all_installed, + task_id, + } = await installPackageFromLocal(uniqueIdentifier) + const taskId = task_id + const isInstalled = all_installed + + if (isInstalled) { + onInstalled() + return + } + handleRefetch() + const { status, error } = await check({ + taskId, + pluginUniqueIdentifier: uniqueIdentifier, + }) + if (status === TaskStatus.failed) { + onFailed(error) + return + } + onInstalled(true) + } + catch (e) { + if (typeof e === 'string') { + onFailed(e) + return + } + onFailed() + } + } + + return ( + <> + <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'> + <div className='text-text-secondary system-md-regular'> + <p>{t(`${i18nPrefix}.readyToInstall`)}</p> + <p> + <Trans + i18nKey={`${i18nPrefix}.fromTrustSource`} + components={{ trustSource: <span className='system-md-semibold' /> }} + /> + </p> + </div> + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'> + <Card + className='w-full' + payload={pluginManifestToCardPluginProps(payload)} + titleLeft={!isLoading && <Version + hasInstalled={hasInstalled} + installedVersion={installedVersion} + toInstallVersion={toInstallVersion} + />} + /> + </div> + </div> + {/* Action Buttons */} + <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'> + {!isInstalling && ( + <Button variant='secondary' className='min-w-[72px]' onClick={handleCancel}> + {t('common.operation.cancel')} + </Button> + )} + <Button + variant='primary' + className='min-w-[72px] flex space-x-0.5' + disabled={isInstalling || isLoading} + onClick={handleInstall} + > + {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />} + <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span> + </Button> + </div> + </> + ) +} +export default React.memo(Installed) diff --git a/web/app/components/plugins/install-plugin/install-from-local-package/steps/uploading.tsx b/web/app/components/plugins/install-plugin/install-from-local-package/steps/uploading.tsx new file mode 100644 index 00000000000000..61e762ce60768c --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-local-package/steps/uploading.tsx @@ -0,0 +1,99 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { RiLoader2Line } from '@remixicon/react' +import Card from '../../../card' +import type { Dependency, PluginDeclaration } from '../../../types' +import Button from '@/app/components/base/button' +import { useTranslation } from 'react-i18next' +import { uploadFile } from '@/service/plugins' +const i18nPrefix = 'plugin.installModal' + +type Props = { + isBundle: boolean + file: File + onCancel: () => void + onPackageUploaded: (result: { + uniqueIdentifier: string + manifest: PluginDeclaration + }) => void + onBundleUploaded: (result: Dependency[]) => void + onFailed: (errorMsg: string) => void +} + +const Uploading: FC<Props> = ({ + isBundle, + file, + onCancel, + onPackageUploaded, + onBundleUploaded, + onFailed, +}) => { + const { t } = useTranslation() + const fileName = file.name + const handleUpload = async () => { + try { + await uploadFile(file, isBundle) + } + catch (e: any) { + if (e.response?.message) { + onFailed(e.response?.message) + } + else { // Why it would into this branch? + const res = e.response + if (isBundle) { + onBundleUploaded(res) + return + } + onPackageUploaded({ + uniqueIdentifier: res.unique_identifier, + manifest: res.manifest, + }) + } + } + } + + React.useEffect(() => { + handleUpload() + // eslint-disable-next-line react-hooks/exhaustive-deps + }, []) + return ( + <> + <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'> + <div className='flex items-center gap-1 self-stretch'> + <RiLoader2Line className='text-text-accent w-4 h-4 animate-spin-slow' /> + <div className='text-text-secondary system-md-regular'> + {t(`${i18nPrefix}.uploadingPackage`, { + packageName: fileName, + })} + </div> + </div> + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'> + <Card + className='w-full' + payload={{ name: fileName } as any} + isLoading + loadingFileName={fileName} + installed={false} + /> + </div> + </div> + + {/* Action Buttons */} + <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'> + <Button variant='secondary' className='min-w-[72px]' onClick={onCancel}> + {t('common.operation.cancel')} + </Button> + <Button + variant='primary' + className='min-w-[72px]' + disabled + > + {t(`${i18nPrefix}.install`)} + </Button> + </div> + </> + ) +} + +export default React.memo(Uploading) diff --git a/web/app/components/plugins/install-plugin/install-from-marketplace/index.tsx b/web/app/components/plugins/install-plugin/install-from-marketplace/index.tsx new file mode 100644 index 00000000000000..149efd4b40c301 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-marketplace/index.tsx @@ -0,0 +1,125 @@ +'use client' + +import React, { useCallback, useState } from 'react' +import Modal from '@/app/components/base/modal' +import type { Dependency, Plugin, PluginManifestInMarket } from '../../types' +import { InstallStep } from '../../types' +import Install from './steps/install' +import Installed from '../base/installed' +import { useTranslation } from 'react-i18next' +import useRefreshPluginList from '../hooks/use-refresh-plugin-list' +import ReadyToInstallBundle from '../install-bundle/ready-to-install' +import cn from '@/utils/classnames' +import useHideLogic from '../hooks/use-hide-logic' + +const i18nPrefix = 'plugin.installModal' + +type InstallFromMarketplaceProps = { + uniqueIdentifier: string + manifest: PluginManifestInMarket | Plugin + isBundle?: boolean + dependencies?: Dependency[] + onSuccess: () => void + onClose: () => void +} + +const InstallFromMarketplace: React.FC<InstallFromMarketplaceProps> = ({ + uniqueIdentifier, + manifest, + isBundle, + dependencies, + onSuccess, + onClose, +}) => { + const { t } = useTranslation() + // readyToInstall -> check installed -> installed/failed + const [step, setStep] = useState<InstallStep>(InstallStep.readyToInstall) + const [errorMsg, setErrorMsg] = useState<string | null>(null) + const { refreshPluginList } = useRefreshPluginList() + + const { + modalClassName, + foldAnimInto, + setIsInstalling, + handleStartToInstall, + } = useHideLogic(onClose) + + const getTitle = useCallback(() => { + if (isBundle && step === InstallStep.installed) + return t(`${i18nPrefix}.installComplete`) + if (step === InstallStep.installed) + return t(`${i18nPrefix}.installedSuccessfully`) + if (step === InstallStep.installFailed) + return t(`${i18nPrefix}.installFailed`) + return t(`${i18nPrefix}.installPlugin`) + }, [isBundle, step, t]) + + const handleInstalled = useCallback((notRefresh?: boolean) => { + setStep(InstallStep.installed) + if (!notRefresh) + refreshPluginList(manifest) + setIsInstalling(false) + }, [manifest, refreshPluginList, setIsInstalling]) + + const handleFailed = useCallback((errorMsg?: string) => { + setStep(InstallStep.installFailed) + setIsInstalling(false) + if (errorMsg) + setErrorMsg(errorMsg) + }, [setIsInstalling]) + + return ( + <Modal + isShow={true} + onClose={foldAnimInto} + wrapperClassName='z-[9999]' + className={cn(modalClassName, 'flex min-w-[560px] p-0 flex-col items-start rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadows-shadow-xl')} + closable + > + <div className='flex pt-6 pl-6 pb-3 pr-14 items-start gap-2 self-stretch'> + <div className='self-stretch text-text-primary title-2xl-semi-bold'> + {getTitle()} + </div> + </div> + { + isBundle ? ( + <ReadyToInstallBundle + step={step} + onStepChange={setStep} + onStartToInstall={handleStartToInstall} + setIsInstalling={setIsInstalling} + onClose={onClose} + allPlugins={dependencies!} + isFromMarketPlace + /> + ) : (<> + { + step === InstallStep.readyToInstall && ( + <Install + uniqueIdentifier={uniqueIdentifier} + payload={manifest!} + onCancel={onClose} + onInstalled={handleInstalled} + onFailed={handleFailed} + onStartToInstall={handleStartToInstall} + /> + )} + { + [InstallStep.installed, InstallStep.installFailed].includes(step) && ( + <Installed + payload={manifest!} + isMarketPayload + isFailed={step === InstallStep.installFailed} + errMsg={errorMsg} + onCancel={onSuccess} + /> + ) + } + </> + ) + } + </Modal > + ) +} + +export default InstallFromMarketplace diff --git a/web/app/components/plugins/install-plugin/install-from-marketplace/steps/install.tsx b/web/app/components/plugins/install-plugin/install-from-marketplace/steps/install.tsx new file mode 100644 index 00000000000000..f70cdc234d0f36 --- /dev/null +++ b/web/app/components/plugins/install-plugin/install-from-marketplace/steps/install.tsx @@ -0,0 +1,158 @@ +'use client' +import type { FC } from 'react' +import React, { useEffect } from 'react' +// import { RiInformation2Line } from '@remixicon/react' +import { type Plugin, type PluginManifestInMarket, TaskStatus } from '../../../types' +import Card from '../../../card' +import { pluginManifestInMarketToPluginProps } from '../../utils' +import Button from '@/app/components/base/button' +import { useTranslation } from 'react-i18next' +import { RiLoader2Line } from '@remixicon/react' +import { useInstallPackageFromMarketPlace, useUpdatePackageFromMarketPlace } from '@/service/use-plugins' +import checkTaskStatus from '../../base/check-task-status' +import useCheckInstalled from '@/app/components/plugins/install-plugin/hooks/use-check-installed' +import Version from '../../base/version' +import { usePluginTaskList } from '@/service/use-plugins' + +const i18nPrefix = 'plugin.installModal' + +type Props = { + uniqueIdentifier: string + payload: PluginManifestInMarket | Plugin + onCancel: () => void + onStartToInstall?: () => void + onInstalled: (notRefresh?: boolean) => void + onFailed: (message?: string) => void +} + +const Installed: FC<Props> = ({ + uniqueIdentifier, + payload, + onCancel, + onStartToInstall, + onInstalled, + onFailed, +}) => { + const { t } = useTranslation() + const toInstallVersion = payload.version || payload.latest_version + const pluginId = (payload as Plugin).plugin_id + const { installedInfo, isLoading } = useCheckInstalled({ + pluginIds: [pluginId], + enabled: !!pluginId, + }) + const installedInfoPayload = installedInfo?.[pluginId] + const installedVersion = installedInfoPayload?.installedVersion + const hasInstalled = !!installedVersion + + const { mutateAsync: installPackageFromMarketPlace } = useInstallPackageFromMarketPlace() + const { mutateAsync: updatePackageFromMarketPlace } = useUpdatePackageFromMarketPlace() + const [isInstalling, setIsInstalling] = React.useState(false) + const { + check, + stop, + } = checkTaskStatus() + const { handleRefetch } = usePluginTaskList(payload.category) + + useEffect(() => { + if (hasInstalled && uniqueIdentifier === installedInfoPayload.uniqueIdentifier) + onInstalled() + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [hasInstalled]) + + const handleCancel = () => { + stop() + onCancel() + } + + const handleInstall = async () => { + if (isInstalling) return + onStartToInstall?.() + setIsInstalling(true) + try { + let taskId + let isInstalled + if (hasInstalled) { + const { + all_installed, + task_id, + } = await updatePackageFromMarketPlace({ + original_plugin_unique_identifier: installedInfoPayload.uniqueIdentifier, + new_plugin_unique_identifier: uniqueIdentifier, + }) + taskId = task_id + isInstalled = all_installed + } + else { + const { + all_installed, + task_id, + } = await installPackageFromMarketPlace(uniqueIdentifier) + taskId = task_id + isInstalled = all_installed + } + + if (isInstalled) { + onInstalled() + return + } + + handleRefetch() + + const { status, error } = await check({ + taskId, + pluginUniqueIdentifier: uniqueIdentifier, + }) + if (status === TaskStatus.failed) { + onFailed(error) + return + } + onInstalled(true) + } + catch (e) { + if (typeof e === 'string') { + onFailed(e) + return + } + onFailed() + } + } + + return ( + <> + <div className='flex flex-col px-6 py-3 justify-center items-start gap-4 self-stretch'> + <div className='text-text-secondary system-md-regular'> + <p>{t(`${i18nPrefix}.readyToInstall`)}</p> + </div> + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'> + <Card + className='w-full' + payload={pluginManifestInMarketToPluginProps(payload as PluginManifestInMarket)} + titleLeft={!isLoading && <Version + hasInstalled={hasInstalled} + installedVersion={installedVersion} + toInstallVersion={toInstallVersion} + />} + /> + </div> + </div> + {/* Action Buttons */} + <div className='flex p-6 pt-5 justify-end items-center gap-2 self-stretch'> + {!isInstalling && ( + <Button variant='secondary' className='min-w-[72px]' onClick={handleCancel}> + {t('common.operation.cancel')} + </Button> + )} + <Button + variant='primary' + className='min-w-[72px] flex space-x-0.5' + disabled={isInstalling || isLoading} + onClick={handleInstall} + > + {isInstalling && <RiLoader2Line className='w-4 h-4 animate-spin-slow' />} + <span>{t(`${i18nPrefix}.${isInstalling ? 'installing' : 'install'}`)}</span> + </Button> + </div> + </> + ) +} +export default React.memo(Installed) diff --git a/web/app/components/plugins/install-plugin/utils.ts b/web/app/components/plugins/install-plugin/utils.ts new file mode 100644 index 00000000000000..dc3113e6a5ff7a --- /dev/null +++ b/web/app/components/plugins/install-plugin/utils.ts @@ -0,0 +1,59 @@ +import type { Plugin, PluginDeclaration, PluginManifestInMarket } from '../types' +import type { GitHubUrlInfo } from '@/app/components/plugins/types' + +export const pluginManifestToCardPluginProps = (pluginManifest: PluginDeclaration): Plugin => { + return { + plugin_id: pluginManifest.plugin_unique_identifier, + type: pluginManifest.category, + category: pluginManifest.category, + name: pluginManifest.name, + version: pluginManifest.version, + latest_version: '', + latest_package_identifier: '', + org: pluginManifest.author, + label: pluginManifest.label, + brief: pluginManifest.description, + icon: pluginManifest.icon, + verified: pluginManifest.verified, + introduction: '', + repository: '', + install_count: 0, + endpoint: { + settings: [], + }, + tags: [], + } +} + +export const pluginManifestInMarketToPluginProps = (pluginManifest: PluginManifestInMarket): Plugin => { + return { + plugin_id: pluginManifest.plugin_unique_identifier, + type: pluginManifest.category, + category: pluginManifest.category, + name: pluginManifest.name, + version: pluginManifest.latest_version, + latest_version: pluginManifest.latest_version, + latest_package_identifier: '', + org: pluginManifest.org, + label: pluginManifest.label, + brief: pluginManifest.brief, + icon: pluginManifest.icon, + verified: pluginManifest.verified, + introduction: pluginManifest.introduction, + repository: '', + install_count: 0, + endpoint: { + settings: [], + }, + tags: [], + } +} + +export const parseGitHubUrl = (url: string): GitHubUrlInfo => { + const match = url.match(/^https:\/\/github\.com\/([^\/]+)\/([^\/]+)\/?$/) + return match ? { isValid: true, owner: match[1], repo: match[2] } : { isValid: false } +} + +export const convertRepoToUrl = (repo: string) => { + return repo ? `https://github.com/${repo}` : '' +} diff --git a/web/app/components/plugins/marketplace/constants.ts b/web/app/components/plugins/marketplace/constants.ts new file mode 100644 index 00000000000000..6bd4e29604d4e8 --- /dev/null +++ b/web/app/components/plugins/marketplace/constants.ts @@ -0,0 +1,4 @@ +export const DEFAULT_SORT = { + sortBy: 'install_count', + sortOrder: 'DESC', +} diff --git a/web/app/components/plugins/marketplace/context.tsx b/web/app/components/plugins/marketplace/context.tsx new file mode 100644 index 00000000000000..cba38355132c2a --- /dev/null +++ b/web/app/components/plugins/marketplace/context.tsx @@ -0,0 +1,316 @@ +'use client' + +import type { + ReactNode, +} from 'react' +import { + useCallback, + useEffect, + useMemo, + useRef, + useState, +} from 'react' +import { + createContext, + useContextSelector, +} from 'use-context-selector' +import { PLUGIN_TYPE_SEARCH_MAP } from './plugin-type-switch' +import type { Plugin } from '../types' +import { + getValidCategoryKeys, + getValidTagKeys, +} from '../utils' +import type { + MarketplaceCollection, + PluginsSort, + SearchParams, + SearchParamsFromCollection, +} from './types' +import { DEFAULT_SORT } from './constants' +import { + useMarketplaceCollectionsAndPlugins, + useMarketplaceContainerScroll, + useMarketplacePlugins, +} from './hooks' +import { + getMarketplaceListCondition, + getMarketplaceListFilterType, +} from './utils' +import { useInstalledPluginList } from '@/service/use-plugins' + +export type MarketplaceContextValue = { + intersected: boolean + setIntersected: (intersected: boolean) => void + searchPluginText: string + handleSearchPluginTextChange: (text: string) => void + filterPluginTags: string[] + handleFilterPluginTagsChange: (tags: string[]) => void + activePluginType: string + handleActivePluginTypeChange: (type: string) => void + page: number + handlePageChange: (page: number) => void + plugins?: Plugin[] + pluginsTotal?: number + resetPlugins: () => void + sort: PluginsSort + handleSortChange: (sort: PluginsSort) => void + handleQueryPlugins: () => void + handleMoreClick: (searchParams: SearchParamsFromCollection) => void + marketplaceCollectionsFromClient?: MarketplaceCollection[] + setMarketplaceCollectionsFromClient: (collections: MarketplaceCollection[]) => void + marketplaceCollectionPluginsMapFromClient?: Record<string, Plugin[]> + setMarketplaceCollectionPluginsMapFromClient: (map: Record<string, Plugin[]>) => void + isLoading: boolean + isSuccessCollections: boolean +} + +export const MarketplaceContext = createContext<MarketplaceContextValue>({ + intersected: true, + setIntersected: () => {}, + searchPluginText: '', + handleSearchPluginTextChange: () => {}, + filterPluginTags: [], + handleFilterPluginTagsChange: () => {}, + activePluginType: 'all', + handleActivePluginTypeChange: () => {}, + page: 1, + handlePageChange: () => {}, + plugins: undefined, + pluginsTotal: 0, + resetPlugins: () => {}, + sort: DEFAULT_SORT, + handleSortChange: () => {}, + handleQueryPlugins: () => {}, + handleMoreClick: () => {}, + marketplaceCollectionsFromClient: [], + setMarketplaceCollectionsFromClient: () => {}, + marketplaceCollectionPluginsMapFromClient: {}, + setMarketplaceCollectionPluginsMapFromClient: () => {}, + isLoading: false, + isSuccessCollections: false, +}) + +type MarketplaceContextProviderProps = { + children: ReactNode + searchParams?: SearchParams + shouldExclude?: boolean + scrollContainerId?: string +} + +export function useMarketplaceContext(selector: (value: MarketplaceContextValue) => any) { + return useContextSelector(MarketplaceContext, selector) +} + +export const MarketplaceContextProvider = ({ + children, + searchParams, + shouldExclude, + scrollContainerId, +}: MarketplaceContextProviderProps) => { + const { data, isSuccess } = useInstalledPluginList(!shouldExclude) + const exclude = useMemo(() => { + if (shouldExclude) + return data?.plugins.map(plugin => plugin.plugin_id) + }, [data?.plugins, shouldExclude]) + const queryFromSearchParams = searchParams?.q || '' + const tagsFromSearchParams = searchParams?.tags ? getValidTagKeys(searchParams.tags.split(',')) : [] + const hasValidTags = !!tagsFromSearchParams.length + const hasValidCategory = getValidCategoryKeys(searchParams?.category) + const categoryFromSearchParams = hasValidCategory || PLUGIN_TYPE_SEARCH_MAP.all + const [intersected, setIntersected] = useState(true) + const [searchPluginText, setSearchPluginText] = useState(queryFromSearchParams) + const searchPluginTextRef = useRef(searchPluginText) + const [filterPluginTags, setFilterPluginTags] = useState<string[]>(tagsFromSearchParams) + const filterPluginTagsRef = useRef(filterPluginTags) + const [activePluginType, setActivePluginType] = useState(categoryFromSearchParams) + const activePluginTypeRef = useRef(activePluginType) + const [page, setPage] = useState(1) + const pageRef = useRef(page) + const [sort, setSort] = useState(DEFAULT_SORT) + const sortRef = useRef(sort) + const { + marketplaceCollections: marketplaceCollectionsFromClient, + setMarketplaceCollections: setMarketplaceCollectionsFromClient, + marketplaceCollectionPluginsMap: marketplaceCollectionPluginsMapFromClient, + setMarketplaceCollectionPluginsMap: setMarketplaceCollectionPluginsMapFromClient, + queryMarketplaceCollectionsAndPlugins, + isLoading, + isSuccess: isSuccessCollections, + } = useMarketplaceCollectionsAndPlugins() + const { + plugins, + total: pluginsTotal, + resetPlugins, + queryPlugins, + queryPluginsWithDebounced, + isLoading: isPluginsLoading, + } = useMarketplacePlugins() + + useEffect(() => { + if (queryFromSearchParams || hasValidTags || hasValidCategory) { + queryPlugins({ + query: queryFromSearchParams, + category: hasValidCategory, + tags: hasValidTags ? tagsFromSearchParams : [], + sortBy: sortRef.current.sortBy, + sortOrder: sortRef.current.sortOrder, + type: getMarketplaceListFilterType(activePluginTypeRef.current), + page: pageRef.current, + }) + history.pushState({}, '', `/${searchParams?.language ? `?language=${searchParams?.language}` : ''}`) + } + else { + if (shouldExclude && isSuccess) { + queryMarketplaceCollectionsAndPlugins({ + exclude, + type: getMarketplaceListFilterType(activePluginTypeRef.current), + }) + } + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [queryPlugins, queryMarketplaceCollectionsAndPlugins, isSuccess, exclude]) + + const handleQueryMarketplaceCollectionsAndPlugins = useCallback(() => { + queryMarketplaceCollectionsAndPlugins({ + category: activePluginTypeRef.current === PLUGIN_TYPE_SEARCH_MAP.all ? undefined : activePluginTypeRef.current, + condition: getMarketplaceListCondition(activePluginTypeRef.current), + exclude, + type: getMarketplaceListFilterType(activePluginTypeRef.current), + }) + resetPlugins() + }, [exclude, queryMarketplaceCollectionsAndPlugins, resetPlugins]) + + const handleQueryPlugins = useCallback((debounced?: boolean) => { + if (debounced) { + queryPluginsWithDebounced({ + query: searchPluginTextRef.current, + category: activePluginTypeRef.current === PLUGIN_TYPE_SEARCH_MAP.all ? undefined : activePluginTypeRef.current, + tags: filterPluginTagsRef.current, + sortBy: sortRef.current.sortBy, + sortOrder: sortRef.current.sortOrder, + exclude, + type: getMarketplaceListFilterType(activePluginTypeRef.current), + page: pageRef.current, + }) + } + else { + queryPlugins({ + query: searchPluginTextRef.current, + category: activePluginTypeRef.current === PLUGIN_TYPE_SEARCH_MAP.all ? undefined : activePluginTypeRef.current, + tags: filterPluginTagsRef.current, + sortBy: sortRef.current.sortBy, + sortOrder: sortRef.current.sortOrder, + exclude, + type: getMarketplaceListFilterType(activePluginTypeRef.current), + page: pageRef.current, + }) + } + }, [exclude, queryPluginsWithDebounced, queryPlugins]) + + const handleQuery = useCallback((debounced?: boolean) => { + if (!searchPluginTextRef.current && !filterPluginTagsRef.current.length) { + handleQueryMarketplaceCollectionsAndPlugins() + return + } + + handleQueryPlugins(debounced) + }, [handleQueryMarketplaceCollectionsAndPlugins, handleQueryPlugins]) + + const handleSearchPluginTextChange = useCallback((text: string) => { + setSearchPluginText(text) + searchPluginTextRef.current = text + setPage(1) + pageRef.current = 1 + + handleQuery(true) + }, [handleQuery]) + + const handleFilterPluginTagsChange = useCallback((tags: string[]) => { + setFilterPluginTags(tags) + filterPluginTagsRef.current = tags + setPage(1) + pageRef.current = 1 + + handleQuery() + }, [handleQuery]) + + const handleActivePluginTypeChange = useCallback((type: string) => { + setActivePluginType(type) + activePluginTypeRef.current = type + setPage(1) + pageRef.current = 1 + }, []) + + useEffect(() => { + handleQuery() + }, [activePluginType, handleQuery]) + + const handleSortChange = useCallback((sort: PluginsSort) => { + setSort(sort) + sortRef.current = sort + setPage(1) + pageRef.current = 1 + + handleQueryPlugins() + }, [handleQueryPlugins]) + + const handlePageChange = useCallback(() => { + if (pluginsTotal && plugins && pluginsTotal > plugins.length) { + setPage(pageRef.current + 1) + pageRef.current++ + + handleQueryPlugins() + } + }, [handleQueryPlugins, plugins, pluginsTotal]) + + const handleMoreClick = useCallback((searchParams: SearchParamsFromCollection) => { + setSearchPluginText(searchParams?.query || '') + searchPluginTextRef.current = searchParams?.query || '' + setSort({ + sortBy: searchParams?.sort_by || DEFAULT_SORT.sortBy, + sortOrder: searchParams?.sort_order || DEFAULT_SORT.sortOrder, + }) + sortRef.current = { + sortBy: searchParams?.sort_by || DEFAULT_SORT.sortBy, + sortOrder: searchParams?.sort_order || DEFAULT_SORT.sortOrder, + } + setPage(1) + pageRef.current = 1 + + handleQueryPlugins() + }, [handleQueryPlugins]) + + useMarketplaceContainerScroll(handlePageChange, scrollContainerId) + + return ( + <MarketplaceContext.Provider + value={{ + intersected, + setIntersected, + searchPluginText, + handleSearchPluginTextChange, + filterPluginTags, + handleFilterPluginTagsChange, + activePluginType, + handleActivePluginTypeChange, + page, + handlePageChange, + plugins, + pluginsTotal, + resetPlugins, + sort, + handleSortChange, + handleQueryPlugins, + handleMoreClick, + marketplaceCollectionsFromClient, + setMarketplaceCollectionsFromClient, + marketplaceCollectionPluginsMapFromClient, + setMarketplaceCollectionPluginsMapFromClient, + isLoading: isLoading || isPluginsLoading, + isSuccessCollections, + }} + > + {children} + </MarketplaceContext.Provider> + ) +} diff --git a/web/app/components/plugins/marketplace/description/index.tsx b/web/app/components/plugins/marketplace/description/index.tsx new file mode 100644 index 00000000000000..3e500155cf9aaa --- /dev/null +++ b/web/app/components/plugins/marketplace/description/index.tsx @@ -0,0 +1,71 @@ +import { + getLocaleOnServer, + useTranslation as translate, +} from '@/i18n/server' + +type DescriptionProps = { + locale?: string +} +const Description = async ({ + locale: localeFromProps, +}: DescriptionProps) => { + const localeDefault = getLocaleOnServer() + const { t } = await translate(localeFromProps || localeDefault, 'plugin') + const { t: tCommon } = await translate(localeFromProps || localeDefault, 'common') + const isZhHans = localeFromProps === 'zh-Hans' + + return ( + <> + <h1 className='shrink-0 mb-2 text-center title-4xl-semi-bold text-text-primary'> + {t('marketplace.empower')} + </h1> + <h2 className='shrink-0 flex justify-center items-center text-center body-md-regular text-text-tertiary'> + { + isZhHans && ( + <> + <span className='mr-1'>{tCommon('operation.in')}</span> + {t('marketplace.difyMarketplace')} + {t('marketplace.discover')} + </> + ) + } + { + !isZhHans && ( + <> + {t('marketplace.discover')} + </> + ) + } + <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]"> + <span className='relative z-[2] lowercase'>{t('category.models')}</span> + </span> + , + <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]"> + <span className='relative z-[2] lowercase'>{t('category.tools')}</span> + </span> + , + <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]"> + <span className='relative z-[2] lowercase'>{t('category.agents')}</span> + </span> + , + <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]"> + <span className='relative z-[2] lowercase'>{t('category.extensions')}</span> + </span> + {t('marketplace.and')} + <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected z-[1]"> + <span className='relative z-[2] lowercase'>{t('category.bundles')}</span> + </span> + { + !isZhHans && ( + <> + <span className='mr-1'>{tCommon('operation.in')}</span> + {t('marketplace.difyMarketplace')} + </> + ) + } + </h2> + </> + ) +} + +export default Description diff --git a/web/app/components/plugins/marketplace/empty/index.tsx b/web/app/components/plugins/marketplace/empty/index.tsx new file mode 100644 index 00000000000000..c190f0affed1d8 --- /dev/null +++ b/web/app/components/plugins/marketplace/empty/index.tsx @@ -0,0 +1,63 @@ +'use client' +import { Group } from '@/app/components/base/icons/src/vender/other' +import Line from './line' +import cn from '@/utils/classnames' +import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks' + +type Props = { + text?: string + lightCard?: boolean + className?: string + locale?: string +} + +const Empty = ({ + text, + lightCard, + className, + locale, +}: Props) => { + const { t } = useMixedTranslation(locale) + + return ( + <div + className={cn('grow relative h-0 flex flex-wrap p-2 overflow-hidden', className)} + > + { + Array.from({ length: 16 }).map((_, index) => ( + <div + key={index} + className={cn( + 'mr-3 mb-3 h-[144px] w-[calc((100%-36px)/4)] rounded-xl bg-background-section-burn', + index % 4 === 3 && 'mr-0', + index > 11 && 'mb-0', + lightCard && 'bg-background-default-lighter opacity-75', + )} + > + </div> + )) + } + { + !lightCard && ( + <div + className='absolute inset-0 bg-marketplace-plugin-empty z-[1]' + ></div> + ) + } + <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 z-[2] flex flex-col items-center'> + <div className='relative flex items-center justify-center mb-3 w-14 h-14 rounded-xl border border-dashed border-divider-deep bg-components-card-bg shadow-lg'> + <Group className='w-5 h-5' /> + <Line className='absolute right-[-1px] top-1/2 -translate-y-1/2' /> + <Line className='absolute left-[-1px] top-1/2 -translate-y-1/2' /> + <Line className='absolute top-0 left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' /> + <Line className='absolute top-full left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' /> + </div> + <div className='text-center system-md-regular text-text-tertiary'> + {text || t('plugin.marketplace.noPluginFound')} + </div> + </div> + </div> + ) +} + +export default Empty diff --git a/web/app/components/plugins/marketplace/empty/line.tsx b/web/app/components/plugins/marketplace/empty/line.tsx new file mode 100644 index 00000000000000..19837aa8628ff6 --- /dev/null +++ b/web/app/components/plugins/marketplace/empty/line.tsx @@ -0,0 +1,21 @@ +type LineProps = { + className?: string +} +const Line = ({ + className, +}: LineProps) => { + return ( + <svg xmlns="http://www.w3.org/2000/svg" width="2" height="241" viewBox="0 0 2 241" fill="none" className={className}> + <path d="M1 0.5L1 240.5" stroke="url(#paint0_linear_1989_74474)"/> + <defs> + <linearGradient id="paint0_linear_1989_74474" x1="-7.99584" y1="240.5" x2="-7.88094" y2="0.50004" gradientUnits="userSpaceOnUse"> + <stop stopColor="white" stopOpacity="0.01"/> + <stop offset="0.503965" stopColor="#101828" stopOpacity="0.08"/> + <stop offset="1" stopColor="white" stopOpacity="0.01"/> + </linearGradient> + </defs> + </svg> + ) +} + +export default Line diff --git a/web/app/components/plugins/marketplace/hooks.ts b/web/app/components/plugins/marketplace/hooks.ts new file mode 100644 index 00000000000000..83a6709a475d40 --- /dev/null +++ b/web/app/components/plugins/marketplace/hooks.ts @@ -0,0 +1,176 @@ +import { + useCallback, + useEffect, + useState, +} from 'react' +import { useTranslation } from 'react-i18next' +import { useDebounceFn } from 'ahooks' +import type { + Plugin, +} from '../types' +import type { + CollectionsAndPluginsSearchParams, + MarketplaceCollection, + PluginsSearchParams, +} from './types' +import { + getFormattedPlugin, + getMarketplaceCollectionsAndPlugins, +} from './utils' +import i18n from '@/i18n/i18next-config' +import { + useMutationPluginsFromMarketplace, +} from '@/service/use-plugins' + +export const useMarketplaceCollectionsAndPlugins = () => { + const [isLoading, setIsLoading] = useState(false) + const [isSuccess, setIsSuccess] = useState(false) + const [marketplaceCollections, setMarketplaceCollections] = useState<MarketplaceCollection[]>() + const [marketplaceCollectionPluginsMap, setMarketplaceCollectionPluginsMap] = useState<Record<string, Plugin[]>>() + + const queryMarketplaceCollectionsAndPlugins = useCallback(async (query?: CollectionsAndPluginsSearchParams) => { + try { + setIsLoading(true) + setIsSuccess(false) + const { marketplaceCollections, marketplaceCollectionPluginsMap } = await getMarketplaceCollectionsAndPlugins(query) + setIsLoading(false) + setIsSuccess(true) + setMarketplaceCollections(marketplaceCollections) + setMarketplaceCollectionPluginsMap(marketplaceCollectionPluginsMap) + } + // eslint-disable-next-line unused-imports/no-unused-vars + catch (e) { + setIsLoading(false) + setIsSuccess(false) + } + }, []) + + return { + marketplaceCollections, + setMarketplaceCollections, + marketplaceCollectionPluginsMap, + setMarketplaceCollectionPluginsMap, + queryMarketplaceCollectionsAndPlugins, + isLoading, + isSuccess, + } +} + +export const useMarketplacePlugins = () => { + const { + data, + mutateAsync, + reset, + isPending, + } = useMutationPluginsFromMarketplace() + + const [prevPlugins, setPrevPlugins] = useState<Plugin[] | undefined>() + const resetPlugins = useCallback(() => { + reset() + setPrevPlugins(undefined) + }, [reset]) + const handleUpdatePlugins = useCallback((pluginsSearchParams: PluginsSearchParams) => { + mutateAsync(pluginsSearchParams).then((res) => { + const currentPage = pluginsSearchParams.page || 1 + const resPlugins = res.data.bundles || res.data.plugins + if (currentPage > 1) { + setPrevPlugins(prevPlugins => [...(prevPlugins || []), ...resPlugins.map((plugin) => { + return getFormattedPlugin(plugin) + })]) + } + else { + setPrevPlugins(resPlugins.map((plugin) => { + return getFormattedPlugin(plugin) + })) + } + }) + }, [mutateAsync]) + const queryPlugins = useCallback((pluginsSearchParams: PluginsSearchParams) => { + handleUpdatePlugins(pluginsSearchParams) + }, [handleUpdatePlugins]) + + const { run: queryPluginsWithDebounced } = useDebounceFn((pluginsSearchParams: PluginsSearchParams) => { + handleUpdatePlugins(pluginsSearchParams) + }, { + wait: 500, + }) + + return { + plugins: prevPlugins, + total: data?.data?.total, + resetPlugins, + queryPlugins, + queryPluginsWithDebounced, + isLoading: isPending, + } +} + +export const useMixedTranslation = (localeFromOuter?: string) => { + let t = useTranslation().t + + if (localeFromOuter) + t = i18n.getFixedT(localeFromOuter) + + return { + t, + } +} + +export const useMarketplaceContainerScroll = ( + callback: () => void, + scrollContainerId = 'marketplace-container', +) => { + const container = document.getElementById(scrollContainerId) + + const handleScroll = useCallback((e: Event) => { + const target = e.target as HTMLDivElement + const { + scrollTop, + scrollHeight, + clientHeight, + } = target + if (scrollTop + clientHeight >= scrollHeight - 5 && scrollTop > 0) + callback() + }, [callback]) + + useEffect(() => { + if (container) + container.addEventListener('scroll', handleScroll) + + return () => { + if (container) + container.removeEventListener('scroll', handleScroll) + } + }, [container, handleScroll]) +} + +export const useSearchBoxAutoAnimate = (searchBoxAutoAnimate?: boolean) => { + const [searchBoxCanAnimate, setSearchBoxCanAnimate] = useState(true) + + const handleSearchBoxCanAnimateChange = useCallback(() => { + if (!searchBoxAutoAnimate) { + const clientWidth = document.documentElement.clientWidth + + if (clientWidth < 1400) + setSearchBoxCanAnimate(false) + else + setSearchBoxCanAnimate(true) + } + }, [searchBoxAutoAnimate]) + + useEffect(() => { + handleSearchBoxCanAnimateChange() + }, [handleSearchBoxCanAnimateChange]) + + useEffect(() => { + window.addEventListener('resize', handleSearchBoxCanAnimateChange) + + return () => { + window.removeEventListener('resize', handleSearchBoxCanAnimateChange) + } + }, [handleSearchBoxCanAnimateChange]) + + return { + searchBoxCanAnimate, + } +} diff --git a/web/app/components/plugins/marketplace/index.tsx b/web/app/components/plugins/marketplace/index.tsx new file mode 100644 index 00000000000000..5e6fbeec97ce7b --- /dev/null +++ b/web/app/components/plugins/marketplace/index.tsx @@ -0,0 +1,68 @@ +import { MarketplaceContextProvider } from './context' +import Description from './description' +import IntersectionLine from './intersection-line' +import SearchBoxWrapper from './search-box/search-box-wrapper' +import PluginTypeSwitch from './plugin-type-switch' +import ListWrapper from './list/list-wrapper' +import type { SearchParams } from './types' +import { getMarketplaceCollectionsAndPlugins } from './utils' +import { TanstackQueryIniter } from '@/context/query-client' + +type MarketplaceProps = { + locale: string + searchBoxAutoAnimate?: boolean + showInstallButton?: boolean + shouldExclude?: boolean + searchParams?: SearchParams + pluginTypeSwitchClassName?: string + intersectionContainerId?: string + scrollContainerId?: string +} +const Marketplace = async ({ + locale, + searchBoxAutoAnimate = true, + showInstallButton = true, + shouldExclude, + searchParams, + pluginTypeSwitchClassName, + intersectionContainerId, + scrollContainerId, +}: MarketplaceProps) => { + let marketplaceCollections: any = [] + let marketplaceCollectionPluginsMap = {} + if (!shouldExclude) { + const marketplaceCollectionsAndPluginsData = await getMarketplaceCollectionsAndPlugins() + marketplaceCollections = marketplaceCollectionsAndPluginsData.marketplaceCollections + marketplaceCollectionPluginsMap = marketplaceCollectionsAndPluginsData.marketplaceCollectionPluginsMap + } + + return ( + <TanstackQueryIniter> + <MarketplaceContextProvider + searchParams={searchParams} + shouldExclude={shouldExclude} + scrollContainerId={scrollContainerId} + > + <Description locale={locale} /> + <IntersectionLine intersectionContainerId={intersectionContainerId} /> + <SearchBoxWrapper + locale={locale} + searchBoxAutoAnimate={searchBoxAutoAnimate} + /> + <PluginTypeSwitch + locale={locale} + className={pluginTypeSwitchClassName} + searchBoxAutoAnimate={searchBoxAutoAnimate} + /> + <ListWrapper + locale={locale} + marketplaceCollections={marketplaceCollections} + marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMap} + showInstallButton={showInstallButton} + /> + </MarketplaceContextProvider> + </TanstackQueryIniter> + ) +} + +export default Marketplace diff --git a/web/app/components/plugins/marketplace/intersection-line/hooks.ts b/web/app/components/plugins/marketplace/intersection-line/hooks.ts new file mode 100644 index 00000000000000..fe30b707cbabfe --- /dev/null +++ b/web/app/components/plugins/marketplace/intersection-line/hooks.ts @@ -0,0 +1,30 @@ +import { useEffect } from 'react' +import { useMarketplaceContext } from '@/app/components/plugins/marketplace/context' + +export const useScrollIntersection = ( + anchorRef: React.RefObject<HTMLDivElement>, + intersectionContainerId = 'marketplace-container', +) => { + const intersected = useMarketplaceContext(v => v.intersected) + const setIntersected = useMarketplaceContext(v => v.setIntersected) + + useEffect(() => { + const container = document.getElementById(intersectionContainerId) + let observer: IntersectionObserver | undefined + if (container && anchorRef.current) { + observer = new IntersectionObserver((entries) => { + const isIntersecting = entries[0].isIntersecting + + if (isIntersecting && !intersected) + setIntersected(true) + + if (!isIntersecting && intersected) + setIntersected(false) + }, { + root: container, + }) + observer.observe(anchorRef.current) + } + return () => observer?.disconnect() + }, [anchorRef, intersected, setIntersected, intersectionContainerId]) +} diff --git a/web/app/components/plugins/marketplace/intersection-line/index.tsx b/web/app/components/plugins/marketplace/intersection-line/index.tsx new file mode 100644 index 00000000000000..94f592410abbbb --- /dev/null +++ b/web/app/components/plugins/marketplace/intersection-line/index.tsx @@ -0,0 +1,21 @@ +'use client' + +import { useRef } from 'react' +import { useScrollIntersection } from './hooks' + +type IntersectionLineProps = { + intersectionContainerId?: string +} +const IntersectionLine = ({ + intersectionContainerId, +}: IntersectionLineProps) => { + const ref = useRef<HTMLDivElement>(null) + + useScrollIntersection(ref, intersectionContainerId) + + return ( + <div ref={ref} className='shrink-0 mb-4 h-[1px] bg-transparent'></div> + ) +} + +export default IntersectionLine diff --git a/web/app/components/plugins/marketplace/list/card-wrapper.tsx b/web/app/components/plugins/marketplace/list/card-wrapper.tsx new file mode 100644 index 00000000000000..a379102efdad9f --- /dev/null +++ b/web/app/components/plugins/marketplace/list/card-wrapper.tsx @@ -0,0 +1,103 @@ +'use client' +import { RiArrowRightUpLine } from '@remixicon/react' +import { getPluginLinkInMarketplace } from '../utils' +import Card from '@/app/components/plugins/card' +import CardMoreInfo from '@/app/components/plugins/card/card-more-info' +import type { Plugin } from '@/app/components/plugins/types' +import Button from '@/app/components/base/button' +import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks' +import InstallFromMarketplace from '@/app/components/plugins/install-plugin/install-from-marketplace' +import { useBoolean } from 'ahooks' +import { useI18N } from '@/context/i18n' +import { useTags } from '@/app/components/plugins/hooks' + +type CardWrapperProps = { + plugin: Plugin + showInstallButton?: boolean + locale?: string +} +const CardWrapper = ({ + plugin, + showInstallButton, + locale, +}: CardWrapperProps) => { + const { t } = useMixedTranslation(locale) + const [isShowInstallFromMarketplace, { + setTrue: showInstallFromMarketplace, + setFalse: hideInstallFromMarketplace, + }] = useBoolean(false) + const { locale: localeFromLocale } = useI18N() + const { tagsMap } = useTags(t) + + if (showInstallButton) { + return ( + <div + className='group relative rounded-xl cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover' + > + <Card + key={plugin.name} + payload={plugin} + locale={locale} + footer={ + <CardMoreInfo + downloadCount={plugin.install_count} + tags={plugin.tags.map(tag => tagsMap[tag.name].label)} + /> + } + /> + { + showInstallButton && ( + <div className='hidden absolute bottom-0 group-hover:flex items-center space-x-2 px-4 pt-8 pb-4 w-full bg-gradient-to-tr from-components-panel-on-panel-item-bg to-background-gradient-mask-transparent rounded-b-xl'> + <Button + variant='primary' + className='w-[calc(50%-4px)]' + onClick={showInstallFromMarketplace} + > + {t('plugin.detailPanel.operation.install')} + </Button> + <a href={`${getPluginLinkInMarketplace(plugin)}?language=${localeFromLocale}`} target='_blank' className='block flex-1 shrink-0 w-[calc(50%-4px)]'> + <Button + className='w-full gap-0.5' + > + {t('plugin.detailPanel.operation.detail')} + <RiArrowRightUpLine className='ml-1 w-4 h-4' /> + </Button> + </a> + </div> + ) + } + { + isShowInstallFromMarketplace && ( + <InstallFromMarketplace + manifest={plugin as any} + uniqueIdentifier={plugin.latest_package_identifier} + onClose={hideInstallFromMarketplace} + onSuccess={hideInstallFromMarketplace} + /> + ) + } + </div> + ) + } + + return ( + <a + className='group inline-block relative rounded-xl cursor-pointer' + href={getPluginLinkInMarketplace(plugin)} + > + <Card + key={plugin.name} + payload={plugin} + locale={locale} + footer={ + <CardMoreInfo + downloadCount={plugin.install_count} + tags={plugin.tags.map(tag => tagsMap[tag.name].label)} + /> + } + /> + </a> + ) +} + +export default CardWrapper diff --git a/web/app/components/plugins/marketplace/list/index.tsx b/web/app/components/plugins/marketplace/list/index.tsx new file mode 100644 index 00000000000000..673f37e6423771 --- /dev/null +++ b/web/app/components/plugins/marketplace/list/index.tsx @@ -0,0 +1,79 @@ +'use client' +import type { Plugin } from '../../types' +import type { MarketplaceCollection } from '../types' +import ListWithCollection from './list-with-collection' +import CardWrapper from './card-wrapper' +import Empty from '../empty' +import cn from '@/utils/classnames' + +type ListProps = { + marketplaceCollections: MarketplaceCollection[] + marketplaceCollectionPluginsMap: Record<string, Plugin[]> + plugins?: Plugin[] + showInstallButton?: boolean + locale: string + cardContainerClassName?: string + cardRender?: (plugin: Plugin) => JSX.Element | null + onMoreClick?: () => void + emptyClassName?: string +} +const List = ({ + marketplaceCollections, + marketplaceCollectionPluginsMap, + plugins, + showInstallButton, + locale, + cardContainerClassName, + cardRender, + onMoreClick, + emptyClassName, +}: ListProps) => { + return ( + <> + { + !plugins && ( + <ListWithCollection + marketplaceCollections={marketplaceCollections} + marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMap} + showInstallButton={showInstallButton} + locale={locale} + cardContainerClassName={cardContainerClassName} + cardRender={cardRender} + onMoreClick={onMoreClick} + /> + ) + } + { + plugins && !!plugins.length && ( + <div className={cn( + 'grid grid-cols-4 gap-3', + cardContainerClassName, + )}> + { + plugins.map((plugin) => { + if (cardRender) + return cardRender(plugin) + + return ( + <CardWrapper + key={plugin.name} + plugin={plugin} + showInstallButton={showInstallButton} + locale={locale} + /> + ) + }) + } + </div> + ) + } + { + plugins && !plugins.length && ( + <Empty className={emptyClassName} locale={locale} /> + ) + } + </> + ) +} + +export default List diff --git a/web/app/components/plugins/marketplace/list/list-with-collection.tsx b/web/app/components/plugins/marketplace/list/list-with-collection.tsx new file mode 100644 index 00000000000000..aed84d77ddc141 --- /dev/null +++ b/web/app/components/plugins/marketplace/list/list-with-collection.tsx @@ -0,0 +1,84 @@ +'use client' + +import { RiArrowRightSLine } from '@remixicon/react' +import type { MarketplaceCollection } from '../types' +import CardWrapper from './card-wrapper' +import type { Plugin } from '@/app/components/plugins/types' +import { getLanguage } from '@/i18n/language' +import cn from '@/utils/classnames' +import type { SearchParamsFromCollection } from '@/app/components/plugins/marketplace/types' +import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks' + +type ListWithCollectionProps = { + marketplaceCollections: MarketplaceCollection[] + marketplaceCollectionPluginsMap: Record<string, Plugin[]> + showInstallButton?: boolean + locale: string + cardContainerClassName?: string + cardRender?: (plugin: Plugin) => JSX.Element | null + onMoreClick?: (searchParams?: SearchParamsFromCollection) => void +} +const ListWithCollection = ({ + marketplaceCollections, + marketplaceCollectionPluginsMap, + showInstallButton, + locale, + cardContainerClassName, + cardRender, + onMoreClick, +}: ListWithCollectionProps) => { + const { t } = useMixedTranslation(locale) + + return ( + <> + { + marketplaceCollections.map(collection => ( + <div + key={collection.name} + className='py-3' + > + <div className='flex justify-between items-end'> + <div> + <div className='title-xl-semi-bold text-text-primary'>{collection.label[getLanguage(locale)]}</div> + <div className='system-xs-regular text-text-tertiary'>{collection.description[getLanguage(locale)]}</div> + </div> + { + collection.searchable && onMoreClick && ( + <div + className='flex items-center system-xs-medium text-text-accent cursor-pointer ' + onClick={() => onMoreClick?.(collection.search_params)} + > + {t('plugin.marketplace.viewMore')} + <RiArrowRightSLine className='w-4 h-4' /> + </div> + ) + } + </div> + <div className={cn( + 'grid grid-cols-4 gap-3 mt-2', + cardContainerClassName, + )}> + { + marketplaceCollectionPluginsMap[collection.name].map((plugin) => { + if (cardRender) + return cardRender(plugin) + + return ( + <CardWrapper + key={plugin.name} + plugin={plugin} + showInstallButton={showInstallButton} + locale={locale} + /> + ) + }) + } + </div> + </div> + )) + } + </> + ) +} + +export default ListWithCollection diff --git a/web/app/components/plugins/marketplace/list/list-wrapper.tsx b/web/app/components/plugins/marketplace/list/list-wrapper.tsx new file mode 100644 index 00000000000000..761adee5f8d253 --- /dev/null +++ b/web/app/components/plugins/marketplace/list/list-wrapper.tsx @@ -0,0 +1,73 @@ +'use client' +import { useEffect } from 'react' +import type { Plugin } from '../../types' +import type { MarketplaceCollection } from '../types' +import { useMarketplaceContext } from '../context' +import List from './index' +import SortDropdown from '../sort-dropdown' +import Loading from '@/app/components/base/loading' +import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks' + +type ListWrapperProps = { + marketplaceCollections: MarketplaceCollection[] + marketplaceCollectionPluginsMap: Record<string, Plugin[]> + showInstallButton?: boolean + locale: string +} +const ListWrapper = ({ + marketplaceCollections, + marketplaceCollectionPluginsMap, + showInstallButton, + locale, +}: ListWrapperProps) => { + const { t } = useMixedTranslation(locale) + const plugins = useMarketplaceContext(v => v.plugins) + const pluginsTotal = useMarketplaceContext(v => v.pluginsTotal) + const marketplaceCollectionsFromClient = useMarketplaceContext(v => v.marketplaceCollectionsFromClient) + const marketplaceCollectionPluginsMapFromClient = useMarketplaceContext(v => v.marketplaceCollectionPluginsMapFromClient) + const isLoading = useMarketplaceContext(v => v.isLoading) + const isSuccessCollections = useMarketplaceContext(v => v.isSuccessCollections) + const handleQueryPlugins = useMarketplaceContext(v => v.handleQueryPlugins) + const page = useMarketplaceContext(v => v.page) + const handleMoreClick = useMarketplaceContext(v => v.handleMoreClick) + + useEffect(() => { + if (!marketplaceCollectionsFromClient?.length && isSuccessCollections) + handleQueryPlugins() + }, [handleQueryPlugins, marketplaceCollections, marketplaceCollectionsFromClient, isSuccessCollections]) + + return ( + <div className='relative flex flex-col grow px-12 py-2 bg-background-default-subtle'> + { + plugins && ( + <div className='flex items-center mb-4 pt-3'> + <div className='title-xl-semi-bold text-text-primary'>{t('plugin.marketplace.pluginsResult', { num: pluginsTotal })}</div> + <div className='mx-3 w-[1px] h-3.5 bg-divider-regular'></div> + <SortDropdown locale={locale} /> + </div> + ) + } + { + isLoading && page === 1 && ( + <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'> + <Loading /> + </div> + ) + } + { + (!isLoading || page > 1) && ( + <List + marketplaceCollections={marketplaceCollectionsFromClient || marketplaceCollections} + marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMapFromClient || marketplaceCollectionPluginsMap} + plugins={plugins} + showInstallButton={showInstallButton} + locale={locale} + onMoreClick={handleMoreClick} + /> + ) + } + </div> + ) +} + +export default ListWrapper diff --git a/web/app/components/plugins/marketplace/plugin-type-switch.tsx b/web/app/components/plugins/marketplace/plugin-type-switch.tsx new file mode 100644 index 00000000000000..0be1c9f53511ef --- /dev/null +++ b/web/app/components/plugins/marketplace/plugin-type-switch.tsx @@ -0,0 +1,100 @@ +'use client' +import { + RiArchive2Line, + RiBrain2Line, + RiHammerLine, + RiPuzzle2Line, + RiSpeakAiLine, +} from '@remixicon/react' +import { PluginType } from '../types' +import { useMarketplaceContext } from './context' +import { + useMixedTranslation, + useSearchBoxAutoAnimate, +} from './hooks' +import cn from '@/utils/classnames' + +export const PLUGIN_TYPE_SEARCH_MAP = { + all: 'all', + model: PluginType.model, + tool: PluginType.tool, + agent: PluginType.agent, + extension: PluginType.extension, + bundle: 'bundle', +} +type PluginTypeSwitchProps = { + locale?: string + className?: string + searchBoxAutoAnimate?: boolean +} +const PluginTypeSwitch = ({ + locale, + className, + searchBoxAutoAnimate, +}: PluginTypeSwitchProps) => { + const { t } = useMixedTranslation(locale) + const activePluginType = useMarketplaceContext(s => s.activePluginType) + const handleActivePluginTypeChange = useMarketplaceContext(s => s.handleActivePluginTypeChange) + const { searchBoxCanAnimate } = useSearchBoxAutoAnimate(searchBoxAutoAnimate) + + const options = [ + { + value: PLUGIN_TYPE_SEARCH_MAP.all, + text: t('plugin.category.all'), + icon: null, + }, + { + value: PLUGIN_TYPE_SEARCH_MAP.model, + text: t('plugin.category.models'), + icon: <RiBrain2Line className='mr-1.5 w-4 h-4' />, + }, + { + value: PLUGIN_TYPE_SEARCH_MAP.tool, + text: t('plugin.category.tools'), + icon: <RiHammerLine className='mr-1.5 w-4 h-4' />, + }, + { + value: PLUGIN_TYPE_SEARCH_MAP.agent, + text: t('plugin.category.agents'), + icon: <RiSpeakAiLine className='mr-1.5 w-4 h-4' />, + }, + { + value: PLUGIN_TYPE_SEARCH_MAP.extension, + text: t('plugin.category.extensions'), + icon: <RiPuzzle2Line className='mr-1.5 w-4 h-4' />, + }, + { + value: PLUGIN_TYPE_SEARCH_MAP.bundle, + text: t('plugin.category.bundles'), + icon: <RiArchive2Line className='mr-1.5 w-4 h-4' />, + }, + ] + + return ( + <div className={cn( + 'shrink-0 flex items-center justify-center py-3 bg-background-body space-x-2', + searchBoxCanAnimate && 'sticky top-[56px] z-10', + className, + )}> + { + options.map(option => ( + <div + key={option.value} + className={cn( + 'flex items-center px-3 h-8 border border-transparent rounded-xl cursor-pointer hover:bg-state-base-hover hover:text-text-secondary system-md-medium text-text-tertiary', + activePluginType === option.value && 'border-components-main-nav-nav-button-border !bg-components-main-nav-nav-button-bg-active !text-components-main-nav-nav-button-text-active shadow-xs', + )} + onClick={() => { + handleActivePluginTypeChange(option.value) + }} + > + {option.icon} + {option.text} + </div> + )) + } + </div> + ) +} + +export default PluginTypeSwitch diff --git a/web/app/components/plugins/marketplace/search-box/index.tsx b/web/app/components/plugins/marketplace/search-box/index.tsx new file mode 100644 index 00000000000000..61fff2c7a9283c --- /dev/null +++ b/web/app/components/plugins/marketplace/search-box/index.tsx @@ -0,0 +1,70 @@ +'use client' +import { RiCloseLine } from '@remixicon/react' +import TagsFilter from './tags-filter' +import ActionButton from '@/app/components/base/action-button' +import cn from '@/utils/classnames' + +type SearchBoxProps = { + search: string + onSearchChange: (search: string) => void + inputClassName?: string + tags: string[] + onTagsChange: (tags: string[]) => void + size?: 'small' | 'large' + placeholder?: string + locale?: string +} +const SearchBox = ({ + search, + onSearchChange, + inputClassName, + tags, + onTagsChange, + size = 'small', + placeholder = '', + locale, +}: SearchBoxProps) => { + return ( + <div + className={cn( + 'flex items-center z-[11]', + size === 'large' && 'p-1.5 bg-components-panel-bg-blur rounded-xl shadow-md border border-components-chat-input-border', + size === 'small' && 'p-0.5 bg-components-input-bg-normal rounded-lg', + inputClassName, + )} + > + <TagsFilter + tags={tags} + onTagsChange={onTagsChange} + size={size} + locale={locale} + /> + <div className='mx-1 w-[1px] h-3.5 bg-divider-regular'></div> + <div className='relative grow flex items-center p-1 pl-2'> + <div className='flex items-center mr-2 w-full'> + <input + className={cn( + 'grow block outline-none appearance-none body-md-medium text-text-secondary bg-transparent', + )} + value={search} + onChange={(e) => { + onSearchChange(e.target.value) + }} + placeholder={placeholder} + /> + { + search && ( + <div className='absolute right-2 top-1/2 -translate-y-1/2'> + <ActionButton onClick={() => onSearchChange('')}> + <RiCloseLine className='w-4 h-4' /> + </ActionButton> + </div> + ) + } + </div> + </div> + </div> + ) +} + +export default SearchBox diff --git a/web/app/components/plugins/marketplace/search-box/search-box-wrapper.tsx b/web/app/components/plugins/marketplace/search-box/search-box-wrapper.tsx new file mode 100644 index 00000000000000..beb1c947fdead1 --- /dev/null +++ b/web/app/components/plugins/marketplace/search-box/search-box-wrapper.tsx @@ -0,0 +1,45 @@ +'use client' + +import { useMarketplaceContext } from '../context' +import { + useMixedTranslation, + useSearchBoxAutoAnimate, +} from '../hooks' +import SearchBox from './index' +import cn from '@/utils/classnames' + +type SearchBoxWrapperProps = { + locale?: string + searchBoxAutoAnimate?: boolean +} +const SearchBoxWrapper = ({ + locale, + searchBoxAutoAnimate, +}: SearchBoxWrapperProps) => { + const { t } = useMixedTranslation(locale) + const intersected = useMarketplaceContext(v => v.intersected) + const searchPluginText = useMarketplaceContext(v => v.searchPluginText) + const handleSearchPluginTextChange = useMarketplaceContext(v => v.handleSearchPluginTextChange) + const filterPluginTags = useMarketplaceContext(v => v.filterPluginTags) + const handleFilterPluginTagsChange = useMarketplaceContext(v => v.handleFilterPluginTagsChange) + const { searchBoxCanAnimate } = useSearchBoxAutoAnimate(searchBoxAutoAnimate) + + return ( + <SearchBox + inputClassName={cn( + 'mx-auto w-[640px] shrink-0 z-[0]', + searchBoxCanAnimate && 'sticky top-3 z-[11]', + !intersected && searchBoxCanAnimate && 'w-[508px] transition-[width] duration-300', + )} + search={searchPluginText} + onSearchChange={handleSearchPluginTextChange} + tags={filterPluginTags} + onTagsChange={handleFilterPluginTagsChange} + size='large' + locale={locale} + placeholder={t('plugin.searchPlugins')} + /> + ) +} + +export default SearchBoxWrapper diff --git a/web/app/components/plugins/marketplace/search-box/tags-filter.tsx b/web/app/components/plugins/marketplace/search-box/tags-filter.tsx new file mode 100644 index 00000000000000..dec07d0319ae21 --- /dev/null +++ b/web/app/components/plugins/marketplace/search-box/tags-filter.tsx @@ -0,0 +1,138 @@ +'use client' + +import { useState } from 'react' +import { + RiArrowDownSLine, + RiCloseCircleFill, + RiFilter3Line, +} from '@remixicon/react' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import Checkbox from '@/app/components/base/checkbox' +import cn from '@/utils/classnames' +import Input from '@/app/components/base/input' +import { useTags } from '@/app/components/plugins/hooks' +import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks' + +type TagsFilterProps = { + tags: string[] + onTagsChange: (tags: string[]) => void + size: 'small' | 'large' + locale?: string +} +const TagsFilter = ({ + tags, + onTagsChange, + size, + locale, +}: TagsFilterProps) => { + const { t } = useMixedTranslation(locale) + const [open, setOpen] = useState(false) + const [searchText, setSearchText] = useState('') + const { tags: options, tagsMap } = useTags(t) + const filteredOptions = options.filter(option => option.label.toLowerCase().includes(searchText.toLowerCase())) + const handleCheck = (id: string) => { + if (tags.includes(id)) + onTagsChange(tags.filter((tag: string) => tag !== id)) + else + onTagsChange([...tags, id]) + } + const selectedTagsLength = tags.length + + return ( + <PortalToFollowElem + placement='bottom-start' + offset={{ + mainAxis: 4, + crossAxis: -6, + }} + open={open} + onOpenChange={setOpen} + > + <PortalToFollowElemTrigger + className='shrink-0' + onClick={() => setOpen(v => !v)} + > + <div className={cn( + 'flex items-center text-text-tertiary rounded-lg hover:bg-state-base-hover cursor-pointer', + size === 'large' && 'px-2 py-1 h-8', + size === 'small' && 'pr-1.5 py-0.5 h-7 pl-1 ', + selectedTagsLength && 'text-text-secondary', + open && 'bg-state-base-hover', + )}> + <div className='p-0.5'> + <RiFilter3Line className='w-4 h-4' /> + </div> + <div className={cn( + 'flex items-center p-1 system-sm-medium', + size === 'large' && 'p-1', + size === 'small' && 'px-0.5 py-1', + )}> + { + !selectedTagsLength && t('pluginTags.allTags') + } + { + !!selectedTagsLength && tags.map(tag => tagsMap[tag].label).slice(0, 2).join(',') + } + { + selectedTagsLength > 2 && ( + <div className='ml-1 system-xs-medium text-text-tertiary'> + +{selectedTagsLength - 2} + </div> + ) + } + </div> + { + !!selectedTagsLength && ( + <RiCloseCircleFill + className='w-4 h-4 text-text-quaternary cursor-pointer' + onClick={() => onTagsChange([])} + /> + ) + } + { + !selectedTagsLength && ( + <RiArrowDownSLine className='w-4 h-4' /> + ) + } + </div> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-[1000]'> + <div className='w-[240px] border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-xl shadow-lg'> + <div className='p-2 pb-1'> + <Input + showLeftIcon + value={searchText} + onChange={e => setSearchText(e.target.value)} + placeholder={t('pluginTags.searchTags') || ''} + /> + </div> + <div className='p-1 max-h-[448px] overflow-y-auto'> + { + filteredOptions.map(option => ( + <div + key={option.name} + className='flex items-center px-2 py-1.5 h-7 rounded-lg cursor-pointer hover:bg-state-base-hover' + onClick={() => handleCheck(option.name)} + > + <Checkbox + className='mr-1' + checked={tags.includes(option.name)} + /> + <div className='px-1 system-sm-medium text-text-secondary'> + {option.label} + </div> + </div> + )) + } + </div> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default TagsFilter diff --git a/web/app/components/plugins/marketplace/sort-dropdown/index.tsx b/web/app/components/plugins/marketplace/sort-dropdown/index.tsx new file mode 100644 index 00000000000000..b39cbe86cea65e --- /dev/null +++ b/web/app/components/plugins/marketplace/sort-dropdown/index.tsx @@ -0,0 +1,94 @@ +'use client' +import { useState } from 'react' +import { + RiArrowDownSLine, + RiCheckLine, +} from '@remixicon/react' +import { useMarketplaceContext } from '../context' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import { useMixedTranslation } from '@/app/components/plugins/marketplace/hooks' + +type SortDropdownProps = { + locale?: string +} +const SortDropdown = ({ + locale, +}: SortDropdownProps) => { + const { t } = useMixedTranslation(locale) + const options = [ + { + value: 'install_count', + order: 'DESC', + text: t('plugin.marketplace.sortOption.mostPopular'), + }, + { + value: 'version_updated_at', + order: 'DESC', + text: t('plugin.marketplace.sortOption.recentlyUpdated'), + }, + { + value: 'created_at', + order: 'DESC', + text: t('plugin.marketplace.sortOption.newlyReleased'), + }, + { + value: 'created_at', + order: 'ASC', + text: t('plugin.marketplace.sortOption.firstReleased'), + }, + ] + const sort = useMarketplaceContext(v => v.sort) + const handleSortChange = useMarketplaceContext(v => v.handleSortChange) + const [open, setOpen] = useState(false) + const selectedOption = options.find(option => option.value === sort.sortBy && option.order === sort.sortOrder)! + + return ( + <PortalToFollowElem + placement='bottom-start' + offset={{ + mainAxis: 4, + crossAxis: 0, + }} + open={open} + onOpenChange={setOpen} + > + <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}> + <div className='flex items-center px-2 pr-3 h-8 rounded-lg bg-state-base-hover-alt cursor-pointer'> + <span className='mr-1 system-sm-regular text-text-secondary'> + {t('plugin.marketplace.sortBy')} + </span> + <span className='mr-1 system-sm-medium text-text-primary'> + {selectedOption.text} + </span> + <RiArrowDownSLine className='w-4 h-4 text-text-tertiary' /> + </div> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent> + <div className='p-1 rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur backdrop-blur-sm shadow-lg'> + { + options.map(option => ( + <div + key={`${option.value}-${option.order}`} + className='flex items-center justify-between px-3 pr-2 h-8 cursor-pointer system-md-regular text-text-primary rounded-lg hover:bg-components-panel-on-panel-item-bg-hover' + onClick={() => handleSortChange({ sortBy: option.value, sortOrder: option.order })} + > + {option.text} + { + sort.sortBy === option.value && sort.sortOrder === option.order && ( + <RiCheckLine className='ml-2 w-4 h-4 text-text-accent' /> + ) + } + </div> + )) + } + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default SortDropdown diff --git a/web/app/components/plugins/marketplace/types.ts b/web/app/components/plugins/marketplace/types.ts new file mode 100644 index 00000000000000..4145f69248dc69 --- /dev/null +++ b/web/app/components/plugins/marketplace/types.ts @@ -0,0 +1,59 @@ +import type { Plugin } from '../types' + +export type SearchParamsFromCollection = { + query?: string + sort_by?: string + sort_order?: string +} + +export type MarketplaceCollection = { + name: string + label: Record<string, string> + description: Record<string, string> + rule: string + created_at: string + updated_at: string + searchable?: boolean + search_params?: SearchParamsFromCollection +} + +export type MarketplaceCollectionsResponse = { + collections: MarketplaceCollection[] + total: number +} + +export type MarketplaceCollectionPluginsResponse = { + plugins: Plugin[] + total: number +} + +export type PluginsSearchParams = { + query: string + page?: number + pageSize?: number + sortBy?: string + sortOrder?: string + category?: string + tags?: string[] + exclude?: string[] + type?: 'plugin' | 'bundle' +} + +export type PluginsSort = { + sortBy: string + sortOrder: string +} + +export type CollectionsAndPluginsSearchParams = { + category?: string + condition?: string + exclude?: string[] + type?: 'plugin' | 'bundle' +} + +export type SearchParams = { + language?: string + q?: string + tags?: string + category?: string +} diff --git a/web/app/components/plugins/marketplace/utils.ts b/web/app/components/plugins/marketplace/utils.ts new file mode 100644 index 00000000000000..0c00a98d6dd1ff --- /dev/null +++ b/web/app/components/plugins/marketplace/utils.ts @@ -0,0 +1,127 @@ +import { PLUGIN_TYPE_SEARCH_MAP } from './plugin-type-switch' +import type { Plugin } from '@/app/components/plugins/types' +import { PluginType } from '@/app/components/plugins/types' +import type { + CollectionsAndPluginsSearchParams, + MarketplaceCollection, +} from '@/app/components/plugins/marketplace/types' +import { + MARKETPLACE_API_PREFIX, + MARKETPLACE_URL_PREFIX, +} from '@/config' + +export const getPluginIconInMarketplace = (plugin: Plugin) => { + if (plugin.type === 'bundle') + return `${MARKETPLACE_API_PREFIX}/bundles/${plugin.org}/${plugin.name}/icon` + return `${MARKETPLACE_API_PREFIX}/plugins/${plugin.org}/${plugin.name}/icon` +} + +export const getFormattedPlugin = (bundle: any) => { + if (bundle.type === 'bundle') { + return { + ...bundle, + icon: getPluginIconInMarketplace(bundle), + brief: bundle.description, + label: bundle.labels, + } + } + return { + ...bundle, + icon: getPluginIconInMarketplace(bundle), + } +} + +export const getPluginLinkInMarketplace = (plugin: Plugin) => { + if (plugin.type === 'bundle') + return `${MARKETPLACE_URL_PREFIX}/bundles/${plugin.org}/${plugin.name}` + return `${MARKETPLACE_URL_PREFIX}/plugins/${plugin.org}/${plugin.name}` +} + +export const getMarketplacePluginsByCollectionId = async (collectionId: string, query?: CollectionsAndPluginsSearchParams) => { + let plugins = [] as Plugin[] + + try { + const url = `${MARKETPLACE_API_PREFIX}/collections/${collectionId}/plugins` + const marketplaceCollectionPluginsData = await globalThis.fetch( + url, + { + cache: 'no-store', + method: 'POST', + body: JSON.stringify({ + category: query?.category, + exclude: query?.exclude, + type: query?.type, + }), + }, + ) + const marketplaceCollectionPluginsDataJson = await marketplaceCollectionPluginsData.json() + plugins = marketplaceCollectionPluginsDataJson.data.plugins.map((plugin: Plugin) => { + return getFormattedPlugin(plugin) + }) + } + // eslint-disable-next-line unused-imports/no-unused-vars + catch (e) { + plugins = [] + } + + return plugins +} + +export const getMarketplaceCollectionsAndPlugins = async (query?: CollectionsAndPluginsSearchParams) => { + let marketplaceCollections = [] as MarketplaceCollection[] + let marketplaceCollectionPluginsMap = {} as Record<string, Plugin[]> + try { + let marketplaceUrl = `${MARKETPLACE_API_PREFIX}/collections?page=1&page_size=100` + if (query?.condition) + marketplaceUrl += `&condition=${query.condition}` + if (query?.type) + marketplaceUrl += `&type=${query.type}` + const marketplaceCollectionsData = await globalThis.fetch(marketplaceUrl, { cache: 'no-store' }) + const marketplaceCollectionsDataJson = await marketplaceCollectionsData.json() + marketplaceCollections = marketplaceCollectionsDataJson.data.collections + await Promise.all(marketplaceCollections.map(async (collection: MarketplaceCollection) => { + const plugins = await getMarketplacePluginsByCollectionId(collection.name, query) + + marketplaceCollectionPluginsMap[collection.name] = plugins + })) + } + // eslint-disable-next-line unused-imports/no-unused-vars + catch (e) { + marketplaceCollections = [] + marketplaceCollectionPluginsMap = {} + } + + return { + marketplaceCollections, + marketplaceCollectionPluginsMap, + } +} + +export const getMarketplaceListCondition = (pluginType: string) => { + if (pluginType === PluginType.tool) + return 'category=tool' + + if (pluginType === PluginType.agent) + return 'category=agent-strategy' + + if (pluginType === PluginType.model) + return 'category=model' + + if (pluginType === PluginType.extension) + return 'category=endpoint' + + if (pluginType === 'bundle') + return 'type=bundle' + + return '' +} + +export const getMarketplaceListFilterType = (category: string) => { + if (category === PLUGIN_TYPE_SEARCH_MAP.all) + return undefined + + if (category === PLUGIN_TYPE_SEARCH_MAP.bundle) + return 'bundle' + + return 'plugin' +} diff --git a/web/app/components/plugins/permission-setting-modal/modal.tsx b/web/app/components/plugins/permission-setting-modal/modal.tsx new file mode 100644 index 00000000000000..b5eaa4765cf4f5 --- /dev/null +++ b/web/app/components/plugins/permission-setting-modal/modal.tsx @@ -0,0 +1,93 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useState } from 'react' +import { useTranslation } from 'react-i18next' +import Modal from '@/app/components/base/modal' +import OptionCard from '@/app/components/workflow/nodes/_base/components/option-card' +import Button from '@/app/components/base/button' +import type { Permissions } from '@/app/components/plugins/types' +import { PermissionType } from '@/app/components/plugins/types' + +const i18nPrefix = 'plugin.privilege' +type Props = { + payload: Permissions + onHide: () => void + onSave: (payload: Permissions) => void +} + +const PluginSettingModal: FC<Props> = ({ + payload, + onHide, + onSave, +}) => { + const { t } = useTranslation() + const [tempPrivilege, setTempPrivilege] = useState<Permissions>(payload) + const handlePrivilegeChange = useCallback((key: string) => { + return (value: PermissionType) => { + setTempPrivilege({ + ...tempPrivilege, + [key]: value, + }) + } + }, [tempPrivilege]) + + const handleSave = useCallback(async () => { + await onSave(tempPrivilege) + onHide() + }, [onHide, onSave, tempPrivilege]) + + return ( + <Modal + isShow + onClose={onHide} + closable + className='!p-0 w-[420px]' + > + <div className='flex flex-col items-start w-[420px] rounded-2xl border border-components-panel-border bg-components-panel-bg shadows-shadow-xl'> + <div className='flex pt-6 pb-3 pl-6 pr-14 items-start gap-2 self-stretch'> + <span className='self-stretch text-text-primary title-2xl-semi-bold'>{t(`${i18nPrefix}.title`)}</span> + </div> + <div className='flex px-6 py-3 flex-col justify-center items-start gap-4 self-stretch'> + {[ + { title: t(`${i18nPrefix}.whoCanInstall`), key: 'install_permission', value: tempPrivilege.install_permission }, + { title: t(`${i18nPrefix}.whoCanDebug`), key: 'debug_permission', value: tempPrivilege.debug_permission }, + ].map(({ title, key, value }) => ( + <div key={key} className='flex flex-col items-start gap-1 self-stretch'> + <div className='flex h-6 items-center gap-0.5'> + <span className='text-text-secondary system-sm-semibold'>{title}</span> + </div> + <div className='flex items-start gap-2 justify-between w-full'> + {[PermissionType.everyone, PermissionType.admin, PermissionType.noOne].map(option => ( + <OptionCard + key={option} + title={t(`${i18nPrefix}.${option}`)} + onSelect={() => handlePrivilegeChange(key)(option)} + selected={value === option} + className="flex-1" + /> + ))} + </div> + </div> + ))} + </div> + <div className='flex h-[76px] p-6 pt-5 justify-end items-center gap-2 self-stretch'> + <Button + className='min-w-[72px]' + onClick={onHide} + > + {t('common.operation.cancel')} + </Button> + <Button + className='min-w-[72px]' + variant={'primary'} + onClick={handleSave} + > + {t('common.operation.save')} + </Button> + </div> + </div> + </Modal> + ) +} + +export default React.memo(PluginSettingModal) diff --git a/web/app/components/plugins/permission-setting-modal/style.module.css b/web/app/components/plugins/permission-setting-modal/style.module.css new file mode 100644 index 00000000000000..7ad3180a5a9046 --- /dev/null +++ b/web/app/components/plugins/permission-setting-modal/style.module.css @@ -0,0 +1,7 @@ +.textGradient { + background: linear-gradient(92deg, #2250F2 -29.55%, #0EBCF3 75.22%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + text-fill-color: transparent; +} \ No newline at end of file diff --git a/web/app/components/plugins/plugin-detail-panel/action-list.tsx b/web/app/components/plugins/plugin-detail-panel/action-list.tsx new file mode 100644 index 00000000000000..46818d40f520cc --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/action-list.tsx @@ -0,0 +1,112 @@ +import React, { useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { useAppContext } from '@/context/app-context' +import Button from '@/app/components/base/button' +import Toast from '@/app/components/base/toast' +import Indicator from '@/app/components/header/indicator' +import ToolItem from '@/app/components/tools/provider/tool-item' +import ConfigCredential from '@/app/components/tools/setting/build-in/config-credentials' +import { + useAllToolProviders, + useBuiltinTools, + useInvalidateAllToolProviders, + useRemoveProviderCredentials, + useUpdateProviderCredentials, +} from '@/service/use-tools' +import type { PluginDetail } from '@/app/components/plugins/types' + +type Props = { + detail: PluginDetail +} + +const ActionList = ({ + detail, +}: Props) => { + const { t } = useTranslation() + const { isCurrentWorkspaceManager } = useAppContext() + const providerBriefInfo = detail.declaration.tool.identity + const providerKey = `${detail.plugin_id}/${providerBriefInfo.name}` + const { data: collectionList = [] } = useAllToolProviders() + const invalidateAllToolProviders = useInvalidateAllToolProviders() + const provider = useMemo(() => { + return collectionList.find(collection => collection.name === providerKey) + }, [collectionList, providerKey]) + const { data } = useBuiltinTools(providerKey) + + const [showSettingAuth, setShowSettingAuth] = useState(false) + + const handleCredentialSettingUpdate = () => { + invalidateAllToolProviders() + Toast.notify({ + type: 'success', + message: t('common.api.actionSuccess'), + }) + setShowSettingAuth(false) + } + + const { mutate: updatePermission, isPending } = useUpdateProviderCredentials({ + onSuccess: handleCredentialSettingUpdate, + }) + + const { mutate: removePermission } = useRemoveProviderCredentials({ + onSuccess: handleCredentialSettingUpdate, + }) + + if (!data || !provider) + return null + + return ( + <div className='px-4 pt-2 pb-4'> + <div className='mb-1 py-1'> + <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'> + {t('plugin.detailPanel.actionNum', { num: data.length, action: data.length > 1 ? 'actions' : 'action' })} + {provider.is_team_authorization && provider.allow_delete && ( + <Button + variant='secondary' + size='small' + onClick={() => setShowSettingAuth(true)} + disabled={!isCurrentWorkspaceManager} + > + <Indicator className='mr-2' color={'green'} /> + {t('tools.auth.authorized')} + </Button> + )} + </div> + {!provider.is_team_authorization && provider.allow_delete && ( + <Button + variant='primary' + className='w-full' + onClick={() => setShowSettingAuth(true)} + disabled={!isCurrentWorkspaceManager} + >{t('tools.auth.unauthorized')}</Button> + )} + </div> + <div className='flex flex-col gap-2'> + {data.map(tool => ( + <ToolItem + key={`${detail.plugin_id}${tool.name}`} + disabled={false} + collection={provider} + tool={tool} + isBuiltIn={true} + isModel={false} + /> + ))} + </div> + {showSettingAuth && ( + <ConfigCredential + collection={provider} + onCancel={() => setShowSettingAuth(false)} + onSaved={async value => updatePermission({ + providerName: provider.name, + credentials: value, + })} + onRemove={async () => removePermission(provider.name)} + isSaving={isPending} + /> + )} + </div> + ) +} + +export default ActionList diff --git a/web/app/components/plugins/plugin-detail-panel/agent-strategy-list.tsx b/web/app/components/plugins/plugin-detail-panel/agent-strategy-list.tsx new file mode 100644 index 00000000000000..fafcf1439c6a8f --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/agent-strategy-list.tsx @@ -0,0 +1,58 @@ +import React, { useMemo } from 'react' +import { useTranslation } from 'react-i18next' +import StrategyItem from '@/app/components/plugins/plugin-detail-panel/strategy-item' +import { + useStrategyProviderDetail, +} from '@/service/use-strategy' +import type { PluginDetail } from '@/app/components/plugins/types' + +type Props = { + detail: PluginDetail +} + +const AgentStrategyList = ({ + detail, +}: Props) => { + const { t } = useTranslation() + const providerBriefInfo = detail.declaration.agent_strategy.identity + const providerKey = `${detail.plugin_id}/${providerBriefInfo.name}` + const { data: strategyProviderDetail } = useStrategyProviderDetail(providerKey) + + const providerDetail = useMemo(() => { + return { + ...strategyProviderDetail?.declaration.identity, + tenant_id: detail.tenant_id, + } + }, [detail.tenant_id, strategyProviderDetail?.declaration.identity]) + + const strategyList = useMemo(() => { + if (!strategyProviderDetail) + return [] + + return strategyProviderDetail.declaration.strategies + }, [strategyProviderDetail]) + + if (!strategyProviderDetail) + return null + + return ( + <div className='px-4 pt-2 pb-4'> + <div className='mb-1 py-1'> + <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'> + {t('plugin.detailPanel.strategyNum', { num: strategyList.length, strategy: strategyList.length > 1 ? 'strategies' : 'strategy' })} + </div> + </div> + <div className='flex flex-col gap-2'> + {strategyList.map(strategyDetail => ( + <StrategyItem + key={`${strategyDetail.identity.provider}${strategyDetail.identity.name}`} + provider={providerDetail as any} + detail={strategyDetail} + /> + ))} + </div> + </div> + ) +} + +export default AgentStrategyList diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form.tsx new file mode 100644 index 00000000000000..6dd9926d358caa --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form.tsx @@ -0,0 +1,125 @@ +import { useCallback } from 'react' +import { useTranslation } from 'react-i18next' +import Input from '@/app/components/base/input' +import Textarea from '@/app/components/base/textarea' +import { PortalSelect } from '@/app/components/base/select' +import { InputVarType } from '@/app/components/workflow/types' +import { FileUploaderInAttachmentWrapper } from '@/app/components/base/file-uploader' + +type Props = { + inputsForms: any[] + inputs: Record<string, any> + inputsRef: any + onFormChange: (value: Record<string, any>) => void +} +const AppInputsForm = ({ + inputsForms, + inputs, + inputsRef, + onFormChange, +}: Props) => { + const { t } = useTranslation() + + const handleFormChange = useCallback((variable: string, value: any) => { + onFormChange({ + ...inputsRef.current, + [variable]: value, + }) + }, [onFormChange, inputsRef]) + + const renderField = (form: any) => { + const { + label, + variable, + options, + } = form + if (form.type === InputVarType.textInput) { + return ( + <Input + value={inputs[variable] || ''} + onChange={e => handleFormChange(variable, e.target.value)} + placeholder={label} + /> + ) + } + if (form.type === InputVarType.number) { + return ( + <Input + type="number" + value={inputs[variable] || ''} + onChange={e => handleFormChange(variable, e.target.value)} + placeholder={label} + /> + ) + } + if (form.type === InputVarType.paragraph) { + return ( + <Textarea + value={inputs[variable] || ''} + onChange={e => handleFormChange(variable, e.target.value)} + placeholder={label} + /> + ) + } + if (form.type === InputVarType.select) { + return ( + <PortalSelect + popupClassName="w-[356px] z-[1050]" + value={inputs[variable] || ''} + items={options.map((option: string) => ({ value: option, name: option }))} + onSelect={item => handleFormChange(variable, item.value as string)} + placeholder={label} + /> + ) + } + if (form.type === InputVarType.singleFile) { + return ( + <FileUploaderInAttachmentWrapper + value={inputs[variable] ? [inputs[variable]] : []} + onChange={files => handleFormChange(variable, files[0])} + fileConfig={{ + allowed_file_types: form.allowed_file_types, + allowed_file_extensions: form.allowed_file_extensions, + allowed_file_upload_methods: form.allowed_file_upload_methods, + number_limits: 1, + fileUploadConfig: (form as any).fileUploadConfig, + }} + /> + ) + } + if (form.type === InputVarType.multiFiles) { + return ( + <FileUploaderInAttachmentWrapper + value={inputs[variable]} + onChange={files => handleFormChange(variable, files)} + fileConfig={{ + allowed_file_types: form.allowed_file_types, + allowed_file_extensions: form.allowed_file_extensions, + allowed_file_upload_methods: form.allowed_file_upload_methods, + number_limits: form.max_length, + fileUploadConfig: (form as any).fileUploadConfig, + }} + /> + ) + } + } + + if (!inputsForms.length) + return null + + return ( + <div className='px-4 py-2 flex flex-col gap-4'> + {inputsForms.map(form => ( + <div key={form.variable}> + <div className='h-6 mb-1 flex items-center gap-1 text-text-secondary system-sm-semibold'> + <div className='truncate'>{form.label}</div> + {!form.required && <span className='text-text-tertiary system-xs-regular'>{t('workflow.panel.optional')}</span>} + </div> + {renderField(form)} + </div> + ))} + </div> + ) +} + +export default AppInputsForm diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel.tsx new file mode 100644 index 00000000000000..d293be3aad74a3 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel.tsx @@ -0,0 +1,180 @@ +'use client' +import React, { useMemo, useRef } from 'react' +import { useTranslation } from 'react-i18next' +import Loading from '@/app/components/base/loading' +import AppInputsForm from '@/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-form' +import { useAppDetail } from '@/service/use-apps' +import { useAppWorkflow } from '@/service/use-workflow' +import { useFileUploadConfig } from '@/service/use-common' +import { Resolution } from '@/types/app' +import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants' +import type { App } from '@/types/app' +import type { FileUpload } from '@/app/components/base/features/types' +import { BlockEnum, InputVarType, SupportUploadFileTypes } from '@/app/components/workflow/types' + +import cn from '@/utils/classnames' + +type Props = { + value?: { + app_id: string + inputs: Record<string, any> + } + appDetail: App + onFormChange: (value: Record<string, any>) => void +} + +const AppInputsPanel = ({ + value, + appDetail, + onFormChange, +}: Props) => { + const { t } = useTranslation() + const inputsRef = useRef<any>(value?.inputs || {}) + const isBasicApp = appDetail.mode !== 'advanced-chat' && appDetail.mode !== 'workflow' + const { data: fileUploadConfig } = useFileUploadConfig() + const { data: currentApp, isFetching: isAppLoading } = useAppDetail(appDetail.id) + const { data: currentWorkflow, isFetching: isWorkflowLoading } = useAppWorkflow(isBasicApp ? '' : appDetail.id) + const isLoading = isAppLoading || isWorkflowLoading + + const basicAppFileConfig = useMemo(() => { + let fileConfig: FileUpload + if (isBasicApp) + fileConfig = currentApp?.model_config?.file_upload as FileUpload + else + fileConfig = currentWorkflow?.features?.file_upload as FileUpload + return { + image: { + detail: fileConfig?.image?.detail || Resolution.high, + enabled: !!fileConfig?.image?.enabled, + number_limits: fileConfig?.image?.number_limits || 3, + transfer_methods: fileConfig?.image?.transfer_methods || ['local_file', 'remote_url'], + }, + enabled: !!(fileConfig?.enabled || fileConfig?.image?.enabled), + allowed_file_types: fileConfig?.allowed_file_types || [SupportUploadFileTypes.image], + allowed_file_extensions: fileConfig?.allowed_file_extensions || [...FILE_EXTS[SupportUploadFileTypes.image]].map(ext => `.${ext}`), + allowed_file_upload_methods: fileConfig?.allowed_file_upload_methods || fileConfig?.image?.transfer_methods || ['local_file', 'remote_url'], + number_limits: fileConfig?.number_limits || fileConfig?.image?.number_limits || 3, + } + }, [currentApp?.model_config?.file_upload, currentWorkflow?.features?.file_upload, isBasicApp]) + + const inputFormSchema = useMemo(() => { + if (!currentApp) + return [] + let inputFormSchema = [] + if (isBasicApp) { + inputFormSchema = currentApp.model_config.user_input_form.filter((item: any) => !item.external_data_tool).map((item: any) => { + if (item.paragraph) { + return { + ...item.paragraph, + type: 'paragraph', + required: false, + } + } + if (item.number) { + return { + ...item.number, + type: 'number', + required: false, + } + } + if (item.select) { + return { + ...item.select, + type: 'select', + required: false, + } + } + + if (item['file-list']) { + return { + ...item['file-list'], + type: 'file-list', + required: false, + fileUploadConfig, + } + } + + if (item.file) { + return { + ...item.file, + type: 'file', + required: false, + fileUploadConfig, + } + } + + return { + ...item['text-input'], + type: 'text-input', + required: false, + } + }) + } + else { + const startNode = currentWorkflow?.graph.nodes.find(node => node.data.type === BlockEnum.Start) as any + inputFormSchema = startNode?.data.variables.map((variable: any) => { + if (variable.type === InputVarType.multiFiles) { + return { + ...variable, + required: false, + fileUploadConfig, + } + } + + if (variable.type === InputVarType.singleFile) { + return { + ...variable, + required: false, + fileUploadConfig, + } + } + return { + ...variable, + required: false, + } + }) + } + if ((currentApp.mode === 'completion' || currentApp.mode === 'workflow') && basicAppFileConfig.enabled) { + inputFormSchema.push({ + label: 'Image Upload', + variable: '#image#', + type: InputVarType.singleFile, + required: false, + ...basicAppFileConfig, + fileUploadConfig, + }) + } + return inputFormSchema + }, [basicAppFileConfig, currentApp, currentWorkflow, fileUploadConfig, isBasicApp]) + + const handleFormChange = (value: Record<string, any>) => { + inputsRef.current = value + onFormChange(value) + } + + return ( + <div className={cn('max-h-[240px] flex flex-col pb-4 rounded-b-2xl border-t border-divider-subtle')}> + {isLoading && <div className='pt-3'><Loading type='app' /></div>} + {!isLoading && ( + <div className='shrink-0 mt-3 mb-2 px-4 h-6 flex items-center system-sm-semibold text-text-secondary'>{t('app.appSelector.params')}</div> + )} + {!isLoading && !inputFormSchema.length && ( + <div className='h-16 flex flex-col justify-center items-center'> + <div className='text-text-tertiary system-sm-regular'>{t('app.appSelector.noParams')}</div> + </div> + )} + {!isLoading && !!inputFormSchema.length && ( + <div className='grow overflow-y-auto'> + <AppInputsForm + inputs={value?.inputs || {}} + inputsRef={inputsRef} + inputsForms={inputFormSchema} + onFormChange={handleFormChange} + /> + </div> + )} + </div> + ) +} + +export default AppInputsPanel diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-picker.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-picker.tsx new file mode 100644 index 00000000000000..841663a5b47da4 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-picker.tsx @@ -0,0 +1,123 @@ +'use client' +import type { FC } from 'react' +import React, { useMemo } from 'react' +import { useState } from 'react' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import type { + OffsetOptions, + Placement, +} from '@floating-ui/react' +import Input from '@/app/components/base/input' +import AppIcon from '@/app/components/base/app-icon' +import type { App } from '@/types/app' + +type Props = { + appList: App[] + scope: string + disabled: boolean + trigger: React.ReactNode + placement?: Placement + offset?: OffsetOptions + isShow: boolean + onShowChange: (isShow: boolean) => void + onSelect: (app: App) => void +} + +const AppPicker: FC<Props> = ({ + scope, + appList, + disabled, + trigger, + placement = 'right-start', + offset = 0, + isShow, + onShowChange, + onSelect, +}) => { + const [searchText, setSearchText] = useState('') + const filteredAppList = useMemo(() => { + return (appList || []) + .filter(app => app.name.toLowerCase().includes(searchText.toLowerCase())) + .filter(app => (app.mode !== 'advanced-chat' && app.mode !== 'workflow') || !!app.workflow) + .filter(app => scope === 'all' + || (scope === 'completion' && app.mode === 'completion') + || (scope === 'workflow' && app.mode === 'workflow') + || (scope === 'chat' && app.mode === 'advanced-chat') + || (scope === 'chat' && app.mode === 'agent-chat') + || (scope === 'chat' && app.mode === 'chat')) + }, [appList, scope, searchText]) + const getAppType = (app: App) => { + switch (app.mode) { + case 'advanced-chat': + return 'chatflow' + case 'agent-chat': + return 'agent' + case 'chat': + return 'chat' + case 'completion': + return 'completion' + case 'workflow': + return 'workflow' + } + } + + const handleTriggerClick = () => { + if (disabled) return + onShowChange(true) + } + + return ( + <PortalToFollowElem + placement={placement} + offset={offset} + open={isShow} + onOpenChange={onShowChange} + > + <PortalToFollowElemTrigger + onClick={handleTriggerClick} + > + {trigger} + </PortalToFollowElemTrigger> + + <PortalToFollowElemContent className='z-[1000]'> + <div className="relative w-[356px] min-h-20 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg"> + <div className='p-2 pb-1'> + <Input + showLeftIcon + showClearIcon + value={searchText} + onChange={e => setSearchText(e.target.value)} + onClear={() => setSearchText('')} + /> + </div> + <div className='p-1'> + {filteredAppList.map(app => ( + <div + key={app.id} + className='flex items-center gap-3 py-1 pl-2 pr-3 rounded-lg hover:bg-state-base-hover cursor-pointer' + onClick={() => onSelect(app)} + > + <AppIcon + className='shrink-0' + size='xs' + iconType={app.icon_type} + icon={app.icon} + background={app.icon_background} + imageUrl={app.icon_url} + /> + <div title={app.name} className='grow system-sm-medium text-components-input-text-filled'>{app.name}</div> + <div className='shrink-0 text-text-tertiary system-2xs-medium-uppercase'>{getAppType(app)}</div> + </div> + ))} + </div> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default React.memo(AppPicker) diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/app-trigger.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/app-trigger.tsx new file mode 100644 index 00000000000000..2706597a86c151 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/app-selector/app-trigger.tsx @@ -0,0 +1,48 @@ +'use client' +import React from 'react' +import { useTranslation } from 'react-i18next' +import { + RiArrowDownSLine, +} from '@remixicon/react' +import AppIcon from '@/app/components/base/app-icon' +import type { App } from '@/types/app' +import cn from '@/utils/classnames' + +type Props = { + open: boolean + appDetail?: App +} + +const AppTrigger = ({ + open, + appDetail, +}: Props) => { + const { t } = useTranslation() + return ( + <div className={cn( + 'group flex items-center p-2 pl-3 bg-components-input-bg-normal rounded-lg cursor-pointer hover:bg-state-base-hover-alt', + open && 'bg-state-base-hover-alt', + appDetail && 'pl-1.5 py-1.5', + )}> + {appDetail && ( + <AppIcon + className='mr-2' + size='xs' + iconType={appDetail.icon_type} + icon={appDetail.icon} + background={appDetail.icon_background} + imageUrl={appDetail.icon_url} + /> + )} + {appDetail && ( + <div title={appDetail.name} className='grow system-sm-medium text-components-input-text-filled'>{appDetail.name}</div> + )} + {!appDetail && ( + <div className='grow text-components-input-text-placeholder system-sm-regular truncate'>{t('app.appSelector.placeholder')}</div> + )} + <RiArrowDownSLine className={cn('shrink-0 ml-0.5 w-4 h-4 text-text-quaternary group-hover:text-text-secondary', open && 'text-text-secondary')} /> + </div> + ) +} + +export default AppTrigger diff --git a/web/app/components/plugins/plugin-detail-panel/app-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/app-selector/index.tsx new file mode 100644 index 00000000000000..5f5a0d7e3e8c87 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/app-selector/index.tsx @@ -0,0 +1,143 @@ +'use client' +import type { FC } from 'react' +import React, { useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import AppTrigger from '@/app/components/plugins/plugin-detail-panel/app-selector/app-trigger' +import AppPicker from '@/app/components/plugins/plugin-detail-panel/app-selector/app-picker' +import AppInputsPanel from '@/app/components/plugins/plugin-detail-panel/app-selector/app-inputs-panel' +import { useAppFullList } from '@/service/use-apps' +import type { App } from '@/types/app' +import type { + OffsetOptions, + Placement, +} from '@floating-ui/react' + +type Props = { + value?: { + app_id: string + inputs: Record<string, any> + files?: any[] + } + scope?: string + disabled?: boolean + placement?: Placement + offset?: OffsetOptions + onSelect: (app: { + app_id: string + inputs: Record<string, any> + files?: any[] + }) => void + supportAddCustomTool?: boolean +} +const AppSelector: FC<Props> = ({ + value, + scope, + disabled, + placement = 'bottom', + offset = 4, + onSelect, +}) => { + const { t } = useTranslation() + const [isShow, onShowChange] = useState(false) + const handleTriggerClick = () => { + if (disabled) return + onShowChange(true) + } + + const { data: appList } = useAppFullList() + const currentAppInfo = useMemo(() => { + if (!appList?.data || !value) + return undefined + return appList.data.find(app => app.id === value.app_id) + }, [appList?.data, value]) + + const [isShowChooseApp, setIsShowChooseApp] = useState(false) + const handleSelectApp = (app: App) => { + const clearValue = app.id !== value?.app_id + const appValue = { + app_id: app.id, + inputs: clearValue ? {} : value?.inputs || {}, + files: clearValue ? [] : value?.files || [], + } + onSelect(appValue) + setIsShowChooseApp(false) + } + const handleFormChange = (inputs: Record<string, any>) => { + const newFiles = inputs['#image#'] + delete inputs['#image#'] + const newValue = { + app_id: value?.app_id || '', + inputs, + files: newFiles ? [newFiles] : value?.files || [], + } + onSelect(newValue) + } + + const formattedValue = useMemo(() => { + return { + app_id: value?.app_id || '', + inputs: { + ...value?.inputs, + ...(value?.files?.length ? { '#image#': value.files[0] } : {}), + }, + } + }, [value]) + + return ( + <> + <PortalToFollowElem + placement={placement} + offset={offset} + open={isShow} + onOpenChange={onShowChange} + > + <PortalToFollowElemTrigger + className='w-full' + onClick={handleTriggerClick} + > + <AppTrigger + open={isShow} + appDetail={currentAppInfo} + /> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-[1000]'> + <div className="relative w-[389px] min-h-20 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg"> + <div className='px-4 py-3 flex flex-col gap-1'> + <div className='h-6 flex items-center system-sm-semibold text-text-secondary'>{t('app.appSelector.label')}</div> + <AppPicker + placement='bottom' + offset={offset} + trigger={ + <AppTrigger + open={isShowChooseApp} + appDetail={currentAppInfo} + /> + } + isShow={isShowChooseApp} + onShowChange={setIsShowChooseApp} + disabled={false} + appList={appList?.data || []} + onSelect={handleSelectApp} + scope={scope || 'all'} + /> + </div> + {/* app inputs config panel */} + {currentAppInfo && ( + <AppInputsPanel + value={formattedValue} + appDetail={currentAppInfo} + onFormChange={handleFormChange} + /> + )} + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + </> + ) +} +export default React.memo(AppSelector) diff --git a/web/app/components/plugins/plugin-detail-panel/detail-header.tsx b/web/app/components/plugins/plugin-detail-panel/detail-header.tsx new file mode 100644 index 00000000000000..6edb68238f4f96 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/detail-header.tsx @@ -0,0 +1,310 @@ +import React, { useCallback, useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { useBoolean } from 'ahooks' +import { + RiArrowLeftRightLine, + RiBugLine, + RiCloseLine, + RiHardDrive3Line, + RiVerifiedBadgeLine, +} from '@remixicon/react' +import type { PluginDetail } from '../types' +import { PluginSource, PluginType } from '../types' +import Description from '../card/base/description' +import Icon from '../card/base/card-icon' +import Title from '../card/base/title' +import OrgInfo from '../card/base/org-info' +import { useGitHubReleases } from '../install-plugin/hooks' +import PluginVersionPicker from '@/app/components/plugins/update-plugin/plugin-version-picker' +import UpdateFromMarketplace from '@/app/components/plugins/update-plugin/from-market-place' +import OperationDropdown from '@/app/components/plugins/plugin-detail-panel/operation-dropdown' +import PluginInfo from '@/app/components/plugins/plugin-page/plugin-info' +import ActionButton from '@/app/components/base/action-button' +import Button from '@/app/components/base/button' +import Badge from '@/app/components/base/badge' +import Confirm from '@/app/components/base/confirm' +import Tooltip from '@/app/components/base/tooltip' +import Toast from '@/app/components/base/toast' +import { BoxSparkleFill } from '@/app/components/base/icons/src/vender/plugin' +import { Github } from '@/app/components/base/icons/src/public/common' +import { uninstallPlugin } from '@/service/plugins' +import { useGetLanguage } from '@/context/i18n' +import { useModalContext } from '@/context/modal-context' +import { useProviderContext } from '@/context/provider-context' +import { useInvalidateAllToolProviders } from '@/service/use-tools' +import { API_PREFIX, MARKETPLACE_URL_PREFIX } from '@/config' +import cn from '@/utils/classnames' + +const i18nPrefix = 'plugin.action' + +type Props = { + detail: PluginDetail + onHide: () => void + onUpdate: (isDelete?: boolean) => void +} + +const DetailHeader = ({ + detail, + onHide, + onUpdate, +}: Props) => { + const { t } = useTranslation() + const locale = useGetLanguage() + const { checkForUpdates, fetchReleases } = useGitHubReleases() + const { setShowUpdatePluginModal } = useModalContext() + const { refreshModelProviders } = useProviderContext() + const invalidateAllToolProviders = useInvalidateAllToolProviders() + + const { + installation_id, + source, + tenant_id, + version, + latest_unique_identifier, + latest_version, + meta, + plugin_id, + } = detail + const { author, category, name, label, description, icon, verified } = detail.declaration + const isFromGitHub = source === PluginSource.github + const isFromMarketplace = source === PluginSource.marketplace + + const [isShow, setIsShow] = useState(false) + const [targetVersion, setTargetVersion] = useState({ + version: latest_version, + unique_identifier: latest_unique_identifier, + }) + const hasNewVersion = useMemo(() => { + if (isFromMarketplace) + return !!latest_version && latest_version !== version + + return false + }, [isFromMarketplace, latest_version, version]) + + const detailUrl = useMemo(() => { + if (isFromGitHub) + return `https://github.com/${meta!.repo}` + if (isFromMarketplace) + return `${MARKETPLACE_URL_PREFIX}/plugins/${author}/${name}` + return '' + }, [author, isFromGitHub, isFromMarketplace, meta, name]) + + const [isShowUpdateModal, { + setTrue: showUpdateModal, + setFalse: hideUpdateModal, + }] = useBoolean(false) + + const handleUpdate = async () => { + if (isFromMarketplace) { + showUpdateModal() + return + } + + const owner = meta!.repo.split('/')[0] || author + const repo = meta!.repo.split('/')[1] || name + const fetchedReleases = await fetchReleases(owner, repo) + if (fetchedReleases.length === 0) return + const { needUpdate, toastProps } = checkForUpdates(fetchedReleases, meta!.version) + Toast.notify(toastProps) + if (needUpdate) { + setShowUpdatePluginModal({ + onSaveCallback: () => { + onUpdate() + }, + payload: { + type: PluginSource.github, + category: detail.declaration.category, + github: { + originalPackageInfo: { + id: detail.plugin_unique_identifier, + repo: meta!.repo, + version: meta!.version, + package: meta!.package, + releases: fetchedReleases, + }, + }, + }, + }) + } + } + + const handleUpdatedFromMarketplace = () => { + onUpdate() + hideUpdateModal() + } + + const [isShowPluginInfo, { + setTrue: showPluginInfo, + setFalse: hidePluginInfo, + }] = useBoolean(false) + + const [isShowDeleteConfirm, { + setTrue: showDeleteConfirm, + setFalse: hideDeleteConfirm, + }] = useBoolean(false) + + const [deleting, { + setTrue: showDeleting, + setFalse: hideDeleting, + }] = useBoolean(false) + + const handleDelete = useCallback(async () => { + showDeleting() + const res = await uninstallPlugin(installation_id) + hideDeleting() + if (res.success) { + hideDeleteConfirm() + onUpdate(true) + if (PluginType.model.includes(category)) + refreshModelProviders() + if (PluginType.tool.includes(category)) + invalidateAllToolProviders() + } + }, [showDeleting, installation_id, hideDeleting, hideDeleteConfirm, onUpdate, category, refreshModelProviders, invalidateAllToolProviders]) + + // #plugin TODO# used in apps + // const usedInApps = 3 + + return ( + <div className={cn('shrink-0 p-4 pb-3 border-b border-divider-subtle bg-components-panel-bg')}> + <div className="flex"> + <div className='overflow-hidden border-components-panel-border-subtle border rounded-xl'> + <Icon src={`${API_PREFIX}/workspaces/current/plugin/icon?tenant_id=${tenant_id}&filename=${icon}`} /> + </div> + <div className="ml-3 w-0 grow"> + <div className="flex items-center h-5"> + <Title title={label[locale]} /> + {verified && <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" />} + <PluginVersionPicker + disabled={!isFromMarketplace} + isShow={isShow} + onShowChange={setIsShow} + pluginID={plugin_id} + currentVersion={version} + onSelect={(state) => { + setTargetVersion(state) + handleUpdate() + }} + trigger={ + <Badge + className={cn( + 'mx-1', + isShow && 'bg-state-base-hover', + (isShow || isFromMarketplace) && 'hover:bg-state-base-hover', + )} + uppercase={false} + text={ + <> + <div>{isFromGitHub ? meta!.version : version}</div> + {isFromMarketplace && <RiArrowLeftRightLine className='ml-1 w-3 h-3 text-text-tertiary' />} + </> + } + hasRedCornerMark={hasNewVersion} + /> + } + /> + {(hasNewVersion || isFromGitHub) && ( + <Button variant='secondary-accent' size='small' className='!h-5' onClick={() => { + if (isFromMarketplace) { + setTargetVersion({ + version: latest_version, + unique_identifier: latest_unique_identifier, + }) + } + handleUpdate() + }}>{t('plugin.detailPanel.operation.update')}</Button> + )} + </div> + <div className='mb-1 flex justify-between items-center h-4'> + <div className='mt-0.5 flex items-center'> + <OrgInfo + packageNameClassName='w-auto' + orgName={author} + packageName={name} + /> + <div className='ml-1 mr-0.5 text-text-quaternary system-xs-regular'>·</div> + {detail.source === PluginSource.marketplace && ( + <Tooltip popupContent={t('plugin.detailPanel.categoryTip.marketplace')} > + <div><BoxSparkleFill className='w-3.5 h-3.5 text-text-tertiary hover:text-text-accent' /></div> + </Tooltip> + )} + {detail.source === PluginSource.github && ( + <Tooltip popupContent={t('plugin.detailPanel.categoryTip.github')} > + <div><Github className='w-3.5 h-3.5 text-text-secondary hover:text-text-primary' /></div> + </Tooltip> + )} + {detail.source === PluginSource.local && ( + <Tooltip popupContent={t('plugin.detailPanel.categoryTip.local')} > + <div><RiHardDrive3Line className='w-3.5 h-3.5 text-text-tertiary' /></div> + </Tooltip> + )} + {detail.source === PluginSource.debugging && ( + <Tooltip popupContent={t('plugin.detailPanel.categoryTip.debugging')} > + <div><RiBugLine className='w-3.5 h-3.5 text-text-tertiary hover:text-text-warning' /></div> + </Tooltip> + )} + </div> + </div> + </div> + <div className='flex gap-1'> + <OperationDropdown + source={detail.source} + onInfo={showPluginInfo} + onCheckVersion={handleUpdate} + onRemove={showDeleteConfirm} + detailUrl={detailUrl} + /> + <ActionButton onClick={onHide}> + <RiCloseLine className='w-4 h-4' /> + </ActionButton> + </div> + </div> + <Description className='mt-3' text={description[locale]} descriptionLineRows={2}></Description> + {isShowPluginInfo && ( + <PluginInfo + repository={isFromGitHub ? meta?.repo : ''} + release={version} + packageName={meta?.package || ''} + onHide={hidePluginInfo} + /> + )} + {isShowDeleteConfirm && ( + <Confirm + isShow + title={t(`${i18nPrefix}.delete`)} + content={ + <div> + {t(`${i18nPrefix}.deleteContentLeft`)}<span className='system-md-semibold'>{label[locale]}</span>{t(`${i18nPrefix}.deleteContentRight`)}<br /> + {/* {usedInApps > 0 && t(`${i18nPrefix}.usedInApps`, { num: usedInApps })} */} + </div> + } + onCancel={hideDeleteConfirm} + onConfirm={handleDelete} + isLoading={deleting} + isDisabled={deleting} + /> + )} + { + isShowUpdateModal && ( + <UpdateFromMarketplace + payload={{ + category: detail.declaration.category, + originalPackageInfo: { + id: detail.plugin_unique_identifier, + payload: detail.declaration, + }, + targetPackageInfo: { + id: targetVersion.unique_identifier, + version: targetVersion.version, + }, + }} + onCancel={hideUpdateModal} + onSave={handleUpdatedFromMarketplace} + /> + ) + } + </div> + ) +} + +export default DetailHeader diff --git a/web/app/components/plugins/plugin-detail-panel/endpoint-card.tsx b/web/app/components/plugins/plugin-detail-panel/endpoint-card.tsx new file mode 100644 index 00000000000000..b2b04a6f1ee94b --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/endpoint-card.tsx @@ -0,0 +1,219 @@ +import React, { useEffect, useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { useBoolean } from 'ahooks' +import copy from 'copy-to-clipboard' +import { RiClipboardLine, RiDeleteBinLine, RiEditLine, RiLoginCircleLine } from '@remixicon/react' +import type { EndpointListItem } from '../types' +import EndpointModal from './endpoint-modal' +import { NAME_FIELD } from './utils' +import { addDefaultValue, toolCredentialToFormSchemas } from '@/app/components/tools/utils/to-form-schema' +import { ClipboardCheck } from '@/app/components/base/icons/src/vender/line/files' +import ActionButton from '@/app/components/base/action-button' +import Confirm from '@/app/components/base/confirm' +import Indicator from '@/app/components/header/indicator' +import Switch from '@/app/components/base/switch' +import Toast from '@/app/components/base/toast' +import Tooltip from '@/app/components/base/tooltip' +import { + useDeleteEndpoint, + useDisableEndpoint, + useEnableEndpoint, + useUpdateEndpoint, +} from '@/service/use-endpoints' + +type Props = { + data: EndpointListItem + handleChange: () => void +} + +const EndpointCard = ({ + data, + handleChange, +}: Props) => { + const { t } = useTranslation() + const [active, setActive] = useState(data.enabled) + const endpointID = data.id + + // switch + const [isShowDisableConfirm, { + setTrue: showDisableConfirm, + setFalse: hideDisableConfirm, + }] = useBoolean(false) + const { mutate: enableEndpoint } = useEnableEndpoint({ + onSuccess: async () => { + await handleChange() + }, + onError: () => { + Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) + setActive(false) + }, + }) + const { mutate: disableEndpoint } = useDisableEndpoint({ + onSuccess: async () => { + await handleChange() + hideDisableConfirm() + }, + onError: () => { + Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) + setActive(false) + }, + }) + const handleSwitch = (state: boolean) => { + if (state) { + setActive(true) + enableEndpoint(endpointID) + } + else { + setActive(false) + showDisableConfirm() + } + } + + // delete + const [isShowDeleteConfirm, { + setTrue: showDeleteConfirm, + setFalse: hideDeleteConfirm, + }] = useBoolean(false) + const { mutate: deleteEndpoint } = useDeleteEndpoint({ + onSuccess: async () => { + await handleChange() + hideDeleteConfirm() + }, + onError: () => { + Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) + }, + }) + + // update + const [isShowEndpointModal, { + setTrue: showEndpointModalConfirm, + setFalse: hideEndpointModalConfirm, + }] = useBoolean(false) + const formSchemas = useMemo(() => { + return toolCredentialToFormSchemas([NAME_FIELD, ...data.declaration.settings]) + }, [data.declaration.settings]) + const formValue = useMemo(() => { + const formValue = { + name: data.name, + ...data.settings, + } + return addDefaultValue(formValue, formSchemas) + }, [data.name, data.settings, formSchemas]) + const { mutate: updateEndpoint } = useUpdateEndpoint({ + onSuccess: async () => { + await handleChange() + hideEndpointModalConfirm() + }, + onError: () => { + Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) + }, + }) + const handleUpdate = (state: any) => updateEndpoint({ + endpointID, + state, + }) + + const [isCopied, setIsCopied] = useState(false) + const handleCopy = (value: string) => { + copy(value) + setIsCopied(true) + } + + useEffect(() => { + if (isCopied) { + const timer = setTimeout(() => { + setIsCopied(false) + }, 2000) + return () => { + clearTimeout(timer) + } + } + }, [isCopied]) + + const CopyIcon = isCopied ? ClipboardCheck : RiClipboardLine + + return ( + <div className='p-0.5 bg-background-section-burn rounded-xl'> + <div className='group p-2.5 pl-3 bg-components-panel-on-panel-item-bg rounded-[10px] border-[0.5px] border-components-panel-border'> + <div className='flex items-center'> + <div className='grow mb-1 h-6 flex items-center gap-1 text-text-secondary system-md-semibold'> + <RiLoginCircleLine className='w-4 h-4' /> + <div>{data.name}</div> + </div> + <div className='hidden group-hover:flex items-center'> + <ActionButton onClick={showEndpointModalConfirm}> + <RiEditLine className='w-4 h-4' /> + </ActionButton> + <ActionButton onClick={showDeleteConfirm} className='hover:bg-state-destructive-hover text-text-tertiary hover:text-text-destructive'> + <RiDeleteBinLine className='w-4 h-4' /> + </ActionButton> + </div> + </div> + {data.declaration.endpoints.map((endpoint, index) => ( + <div key={index} className='h-6 flex items-center'> + <div className='shrink-0 w-12 text-text-tertiary system-xs-regular'>{endpoint.method}</div> + <div className='group/item grow flex items-center text-text-secondary system-xs-regular truncate'> + <div title={`${data.url}${endpoint.path}`} className='truncate'>{`${data.url}${endpoint.path}`}</div> + <Tooltip popupContent={t(`common.operation.${isCopied ? 'copied' : 'copy'}`)} position='top'> + <ActionButton className='hidden shrink-0 ml-2 group-hover/item:flex' onClick={() => handleCopy(`${data.url}${endpoint.path}`)}> + <CopyIcon className='w-3.5 h-3.5 text-text-tertiary' /> + </ActionButton> + </Tooltip> + </div> + </div> + ))} + </div> + <div className='p-2 pl-3 flex items-center justify-between'> + {active && ( + <div className='flex items-center gap-1 system-xs-semibold-uppercase text-util-colors-green-green-600'> + <Indicator color='green' /> + {t('plugin.detailPanel.serviceOk')} + </div> + )} + {!active && ( + <div className='flex items-center gap-1 system-xs-semibold-uppercase text-text-tertiary'> + <Indicator color='gray' /> + {t('plugin.detailPanel.disabled')} + </div> + )} + <Switch + className='ml-3' + defaultValue={active} + onChange={handleSwitch} + size='sm' + /> + </div> + {isShowDisableConfirm && ( + <Confirm + isShow + title={t('plugin.detailPanel.endpointDisableTip')} + content={<div>{t('plugin.detailPanel.endpointDisableContent', { name: data.name })}</div>} + onCancel={() => { + hideDisableConfirm() + setActive(true) + }} + onConfirm={() => disableEndpoint(endpointID)} + /> + )} + {isShowDeleteConfirm && ( + <Confirm + isShow + title={t('plugin.detailPanel.endpointDeleteTip')} + content={<div>{t('plugin.detailPanel.endpointDeleteContent', { name: data.name })}</div>} + onCancel={hideDeleteConfirm} + onConfirm={() => deleteEndpoint(endpointID)} + /> + )} + {isShowEndpointModal && ( + <EndpointModal + formSchemas={formSchemas} + defaultValues={formValue} + onCancel={hideEndpointModalConfirm} + onSaved={handleUpdate} + /> + )} + </div> + ) +} + +export default EndpointCard diff --git a/web/app/components/plugins/plugin-detail-panel/endpoint-list.tsx b/web/app/components/plugins/plugin-detail-panel/endpoint-list.tsx new file mode 100644 index 00000000000000..2116a5474a6803 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/endpoint-list.tsx @@ -0,0 +1,122 @@ +import React, { useMemo } from 'react' +import { useTranslation } from 'react-i18next' +import { useContext } from 'use-context-selector' +import { useBoolean } from 'ahooks' +import { + RiAddLine, + RiApps2AddLine, + RiBookOpenLine, +} from '@remixicon/react' +import EndpointModal from './endpoint-modal' +import EndpointCard from './endpoint-card' +import { NAME_FIELD } from './utils' +import { toolCredentialToFormSchemas } from '@/app/components/tools/utils/to-form-schema' +import ActionButton from '@/app/components/base/action-button' +import Tooltip from '@/app/components/base/tooltip' +import Toast from '@/app/components/base/toast' +import { + useCreateEndpoint, + useEndpointList, + useInvalidateEndpointList, +} from '@/service/use-endpoints' +import type { PluginDetail } from '@/app/components/plugins/types' +import { LanguagesSupported } from '@/i18n/language' +import I18n from '@/context/i18n' +import cn from '@/utils/classnames' + +type Props = { + detail: PluginDetail +} +const EndpointList = ({ detail }: Props) => { + const { t } = useTranslation() + const { locale } = useContext(I18n) + const pluginUniqueID = detail.plugin_unique_identifier + const declaration = detail.declaration.endpoint + const showTopBorder = detail.declaration.tool + const { data } = useEndpointList(detail.plugin_id) + const invalidateEndpointList = useInvalidateEndpointList() + + const [isShowEndpointModal, { + setTrue: showEndpointModal, + setFalse: hideEndpointModal, + }] = useBoolean(false) + + const formSchemas = useMemo(() => { + return toolCredentialToFormSchemas([NAME_FIELD, ...declaration.settings]) + }, [declaration.settings]) + + const { mutate: createEndpoint } = useCreateEndpoint({ + onSuccess: async () => { + await invalidateEndpointList(detail.plugin_id) + hideEndpointModal() + }, + onError: () => { + Toast.notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) + }, + }) + + const handleCreate = (state: any) => createEndpoint({ + pluginUniqueID, + state, + }) + + if (!data) + return null + + return ( + <div className={cn('px-4 py-2 border-divider-subtle', showTopBorder && 'border-t')}> + <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'> + <div className='flex items-center gap-0.5'> + {t('plugin.detailPanel.endpoints')} + <Tooltip + position='right' + needsDelay + popupClassName='w-[240px] p-4 rounded-xl bg-components-panel-bg-blur border-[0.5px] border-components-panel-border' + popupContent={ + <div className='flex flex-col gap-2'> + <div className='w-8 h-8 flex items-center justify-center bg-background-default-subtle rounded-lg border-[0.5px] border-components-panel-border-subtle'> + <RiApps2AddLine className='w-4 h-4 text-text-tertiary' /> + </div> + <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.endpointsTip')}</div> + <a + href={`https://docs.dify.ai/${locale === LanguagesSupported[1] ? 'v/zh-hans/' : ''}guides/api-documentation/endpoint`} + target='_blank' + rel='noopener noreferrer' + > + <div className='inline-flex items-center gap-1 text-text-accent system-xs-regular cursor-pointer'> + <RiBookOpenLine className='w-3 h-3' /> + {t('plugin.detailPanel.endpointsDocLink')} + </div> + </a> + </div> + } + /> + </div> + <ActionButton onClick={showEndpointModal}> + <RiAddLine className='w-4 h-4' /> + </ActionButton> + </div> + {data.endpoints.length === 0 && ( + <div className='mb-1 p-3 flex justify-center rounded-[10px] bg-background-section text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.endpointsEmpty')}</div> + )} + <div className='flex flex-col gap-2'> + {data.endpoints.map((item, index) => ( + <EndpointCard + key={index} + data={item} + handleChange={() => invalidateEndpointList(detail.plugin_id)} + /> + ))} + </div> + {isShowEndpointModal && ( + <EndpointModal + formSchemas={formSchemas} + onCancel={hideEndpointModal} + onSaved={handleCreate} + /> + )} + </div> + ) +} + +export default EndpointList diff --git a/web/app/components/plugins/plugin-detail-panel/endpoint-modal.tsx b/web/app/components/plugins/plugin-detail-panel/endpoint-modal.tsx new file mode 100644 index 00000000000000..e150d72dc30d79 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/endpoint-modal.tsx @@ -0,0 +1,96 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { useTranslation } from 'react-i18next' +import { RiArrowRightUpLine, RiCloseLine } from '@remixicon/react' +import ActionButton from '@/app/components/base/action-button' +import Button from '@/app/components/base/button' +import Drawer from '@/app/components/base/drawer' +import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form' +import Toast from '@/app/components/base/toast' +import { useRenderI18nObject } from '@/hooks/use-i18n' +import cn from '@/utils/classnames' + +type Props = { + formSchemas: any + defaultValues?: any + onCancel: () => void + onSaved: (value: Record<string, any>) => void +} + +const EndpointModal: FC<Props> = ({ + formSchemas, + defaultValues = {}, + onCancel, + onSaved, +}) => { + const getValueFromI18nObject = useRenderI18nObject() + const { t } = useTranslation() + const [tempCredential, setTempCredential] = React.useState<any>(defaultValues) + + const handleSave = () => { + for (const field of formSchemas) { + if (field.required && !tempCredential[field.name]) { + Toast.notify({ type: 'error', message: t('common.errorMsg.fieldRequired', { field: getValueFromI18nObject(field.label) }) }) + return + } + } + onSaved(tempCredential) + } + + return ( + <Drawer + isOpen + clickOutsideNotOpen={false} + onClose={onCancel} + footer={null} + mask + positionCenter={false} + panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')} + > + <> + <div className='p-4 pb-2'> + <div className='flex items-center justify-between'> + <div className='text-text-primary system-xl-semibold'>{t('plugin.detailPanel.endpointModalTitle')}</div> + <ActionButton onClick={onCancel}> + <RiCloseLine className='w-4 h-4' /> + </ActionButton> + </div> + <div className='mt-0.5 text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.endpointModalDesc')}</div> + </div> + <div className='grow overflow-y-auto'> + <div className='px-4 py-2'> + <Form + value={tempCredential} + onChange={(v) => { + setTempCredential(v) + }} + formSchemas={formSchemas} + isEditMode={true} + showOnVariableMap={{}} + validating={false} + inputClassName='bg-components-input-bg-normal hover:bg-components-input-bg-hover' + fieldMoreInfo={item => item.url + ? (<a + href={item.url} + target='_blank' rel='noopener noreferrer' + className='inline-flex items-center body-xs-regular text-text-accent-secondary' + > + {t('tools.howToGet')} + <RiArrowRightUpLine className='ml-1 w-3 h-3' /> + </a>) + : null} + /> + </div> + <div className={cn('p-4 pt-0 flex justify-end')} > + <div className='flex gap-2'> + <Button onClick={onCancel}>{t('common.operation.cancel')}</Button> + <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button> + </div> + </div> + </div> + </> + </Drawer> + ) +} +export default React.memo(EndpointModal) diff --git a/web/app/components/plugins/plugin-detail-panel/index.tsx b/web/app/components/plugins/plugin-detail-panel/index.tsx new file mode 100644 index 00000000000000..4d20c0877d923e --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/index.tsx @@ -0,0 +1,62 @@ +'use client' +import React from 'react' +import type { FC } from 'react' +import DetailHeader from './detail-header' +import EndpointList from './endpoint-list' +import ActionList from './action-list' +import ModelList from './model-list' +import AgentStrategyList from './agent-strategy-list' +import Drawer from '@/app/components/base/drawer' +import type { PluginDetail } from '@/app/components/plugins/types' +import cn from '@/utils/classnames' + +type Props = { + detail?: PluginDetail + onUpdate: () => void + onHide: () => void +} + +const PluginDetailPanel: FC<Props> = ({ + detail, + onUpdate, + onHide, +}) => { + const handleUpdate = (isDelete = false) => { + if (isDelete) + onHide() + onUpdate() + } + + if (!detail) + return null + + return ( + <Drawer + isOpen={!!detail} + clickOutsideNotOpen={false} + onClose={onHide} + footer={null} + mask={false} + positionCenter={false} + panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')} + > + {detail && ( + <> + <DetailHeader + detail={detail} + onHide={onHide} + onUpdate={handleUpdate} + /> + <div className='grow overflow-y-auto'> + {!!detail.declaration.tool && <ActionList detail={detail} />} + {!!detail.declaration.agent_strategy && <AgentStrategyList detail={detail} />} + {!!detail.declaration.endpoint && <EndpointList detail={detail} />} + {!!detail.declaration.model && <ModelList detail={detail} />} + </div> + </> + )} + </Drawer> + ) +} + +export default PluginDetailPanel diff --git a/web/app/components/plugins/plugin-detail-panel/model-list.tsx b/web/app/components/plugins/plugin-detail-panel/model-list.tsx new file mode 100644 index 00000000000000..5989a75945a703 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/model-list.tsx @@ -0,0 +1,46 @@ +import React from 'react' +import { useTranslation } from 'react-i18next' +import ModelIcon from '@/app/components/header/account-setting/model-provider-page/model-icon' +import ModelName from '@/app/components/header/account-setting/model-provider-page/model-name' +import { useModelProviderModelList } from '@/service/use-models' +import type { PluginDetail } from '@/app/components/plugins/types' + +type Props = { + detail: PluginDetail +} + +const ModelList = ({ + detail, +}: Props) => { + const { t } = useTranslation() + const { data: res } = useModelProviderModelList(`${detail.plugin_id}/${detail.name}`) + + if (!res) + return null + + return ( + <div className='px-4 py-2'> + <div className='mb-1 h-6 flex items-center text-text-secondary system-sm-semibold-uppercase'>{t('plugin.detailPanel.modelNum', { num: res.data.length })}</div> + <div className='flex flex-col'> + {res.data.map(model => ( + <div key={model.model} className='h-6 py-1 flex items-center'> + <ModelIcon + className='shrink-0 mr-2' + provider={(model as any).provider} + modelName={model.model} + /> + <ModelName + className='grow text-text-secondary system-md-regular' + modelItem={model} + showModelType + showMode + showContextSize + /> + </div> + ))} + </div> + </div> + ) +} + +export default ModelList diff --git a/web/app/components/plugins/plugin-detail-panel/model-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/model-selector/index.tsx new file mode 100644 index 00000000000000..ac4ef3452bb6d1 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/model-selector/index.tsx @@ -0,0 +1,251 @@ +import type { + FC, + ReactNode, +} from 'react' +import { useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import type { + DefaultModel, + FormValue, +} from '@/app/components/header/account-setting/model-provider-page/declarations' +import { ModelStatusEnum, ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector' +import { + useModelList, +} from '@/app/components/header/account-setting/model-provider-page/hooks' +import AgentModelTrigger from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/agent-model-trigger' +import Trigger from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger' +import type { TriggerProps } from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/trigger' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import LLMParamsPanel from './llm-params-panel' +import TTSParamsPanel from './tts-params-panel' +import { useProviderContext } from '@/context/provider-context' +import cn from '@/utils/classnames' + +export type ModelParameterModalProps = { + popupClassName?: string + portalToFollowElemContentClassName?: string + isAdvancedMode: boolean + value: any + setModel: (model: any) => void + renderTrigger?: (v: TriggerProps) => ReactNode + readonly?: boolean + isInWorkflow?: boolean + isAgentStrategy?: boolean + scope?: string +} + +const ModelParameterModal: FC<ModelParameterModalProps> = ({ + popupClassName, + portalToFollowElemContentClassName, + isAdvancedMode, + value, + setModel, + renderTrigger, + readonly, + isInWorkflow, + isAgentStrategy, + scope = ModelTypeEnum.textGeneration, +}) => { + const { t } = useTranslation() + const { isAPIKeySet } = useProviderContext() + const [open, setOpen] = useState(false) + const scopeArray = scope.split('&') + const scopeFeatures = useMemo(() => { + if (scopeArray.includes('all')) + return [] + return scopeArray.filter(item => ![ + ModelTypeEnum.textGeneration, + ModelTypeEnum.textEmbedding, + ModelTypeEnum.rerank, + ModelTypeEnum.moderation, + ModelTypeEnum.speech2text, + ModelTypeEnum.tts, + ].includes(item as ModelTypeEnum)) + }, [scopeArray]) + + const { data: textGenerationList } = useModelList(ModelTypeEnum.textGeneration) + const { data: textEmbeddingList } = useModelList(ModelTypeEnum.textEmbedding) + const { data: rerankList } = useModelList(ModelTypeEnum.rerank) + const { data: moderationList } = useModelList(ModelTypeEnum.moderation) + const { data: sttList } = useModelList(ModelTypeEnum.speech2text) + const { data: ttsList } = useModelList(ModelTypeEnum.tts) + + const scopedModelList = useMemo(() => { + const resultList: any[] = [] + if (scopeArray.includes('all')) { + return [ + ...textGenerationList, + ...textEmbeddingList, + ...rerankList, + ...sttList, + ...ttsList, + ...moderationList, + ] + } + if (scopeArray.includes(ModelTypeEnum.textGeneration)) + return textGenerationList + if (scopeArray.includes(ModelTypeEnum.textEmbedding)) + return textEmbeddingList + if (scopeArray.includes(ModelTypeEnum.rerank)) + return rerankList + if (scopeArray.includes(ModelTypeEnum.moderation)) + return moderationList + if (scopeArray.includes(ModelTypeEnum.speech2text)) + return sttList + if (scopeArray.includes(ModelTypeEnum.tts)) + return ttsList + return resultList + }, [scopeArray, textGenerationList, textEmbeddingList, rerankList, sttList, ttsList, moderationList]) + + const { currentProvider, currentModel } = useMemo(() => { + const currentProvider = scopedModelList.find(item => item.provider === value?.provider) + const currentModel = currentProvider?.models.find((model: { model: string }) => model.model === value?.model) + return { + currentProvider, + currentModel, + } + }, [scopedModelList, value?.provider, value?.model]) + + const hasDeprecated = useMemo(() => { + return !currentProvider || !currentModel + }, [currentModel, currentProvider]) + const modelDisabled = useMemo(() => { + return currentModel?.status !== ModelStatusEnum.active + }, [currentModel?.status]) + const disabled = useMemo(() => { + return !isAPIKeySet || hasDeprecated || modelDisabled + }, [hasDeprecated, isAPIKeySet, modelDisabled]) + + const handleChangeModel = ({ provider, model }: DefaultModel) => { + const targetProvider = scopedModelList.find(modelItem => modelItem.provider === provider) + const targetModelItem = targetProvider?.models.find((modelItem: { model: string }) => modelItem.model === model) + const model_type = targetModelItem?.model_type as string + setModel({ + provider, + model, + model_type, + ...(model_type === ModelTypeEnum.textGeneration ? { + mode: targetModelItem?.model_properties.mode as string, + completion_params: {}, + } : {}), + }) + } + + const handleLLMParamsChange = (newParams: FormValue) => { + const newValue = { + ...(value?.completionParams || {}), + completion_params: newParams, + } + setModel({ + ...value, + ...newValue, + }) + } + + const handleTTSParamsChange = (language: string, voice: string) => { + setModel({ + ...value, + language, + voice, + }) + } + + return ( + <PortalToFollowElem + open={open} + onOpenChange={setOpen} + placement={isInWorkflow ? 'left' : 'bottom-end'} + offset={4} + > + <div className='relative'> + <PortalToFollowElemTrigger + onClick={() => { + if (readonly) + return + setOpen(v => !v) + }} + className='block' + > + { + renderTrigger + ? renderTrigger({ + open, + disabled, + modelDisabled, + hasDeprecated, + currentProvider, + currentModel, + providerName: value?.provider, + modelId: value?.model, + }) + : (isAgentStrategy + ? <AgentModelTrigger + disabled={disabled} + hasDeprecated={hasDeprecated} + currentProvider={currentProvider} + currentModel={currentModel} + providerName={value?.provider} + modelId={value?.model} + scope={scope} + /> + : <Trigger + disabled={disabled} + isInWorkflow={isInWorkflow} + modelDisabled={modelDisabled} + hasDeprecated={hasDeprecated} + currentProvider={currentProvider} + currentModel={currentModel} + providerName={value?.provider} + modelId={value?.model} + /> + ) + } + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className={cn('z-50', portalToFollowElemContentClassName)}> + <div className={cn(popupClassName, 'w-[389px] rounded-2xl border-[0.5px] border-components-panel-border bg-components-panel-bg shadow-lg')}> + <div className={cn('max-h-[420px] p-4 pt-3 overflow-y-auto')}> + <div className='relative'> + <div className={cn('mb-1 h-6 flex items-center text-text-secondary system-sm-semibold')}> + {t('common.modelProvider.model').toLocaleUpperCase()} + </div> + <ModelSelector + defaultModel={(value?.provider || value?.model) ? { provider: value?.provider, model: value?.model } : undefined} + modelList={scopedModelList} + scopeFeatures={scopeFeatures} + onSelect={handleChangeModel} + /> + </div> + {(currentModel?.model_type === ModelTypeEnum.textGeneration || currentModel?.model_type === ModelTypeEnum.tts) && ( + <div className='my-3 h-[1px] bg-divider-subtle' /> + )} + {currentModel?.model_type === ModelTypeEnum.textGeneration && ( + <LLMParamsPanel + provider={value?.provider} + modelId={value?.model} + completionParams={value?.completion_params || {}} + onCompletionParamsChange={handleLLMParamsChange} + isAdvancedMode={isAdvancedMode} + /> + )} + {currentModel?.model_type === ModelTypeEnum.tts && ( + <TTSParamsPanel + currentModel={currentModel} + language={value?.language} + voice={value?.voice} + onChange={handleTTSParamsChange} + /> + )} + </div> + </div> + </PortalToFollowElemContent> + </div> + </PortalToFollowElem> + ) +} + +export default ModelParameterModal diff --git a/web/app/components/plugins/plugin-detail-panel/model-selector/llm-params-panel.tsx b/web/app/components/plugins/plugin-detail-panel/model-selector/llm-params-panel.tsx new file mode 100644 index 00000000000000..eb3c1102aacdbc --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/model-selector/llm-params-panel.tsx @@ -0,0 +1,126 @@ +import React, { useMemo } from 'react' +import useSWR from 'swr' +import { useTranslation } from 'react-i18next' +import PresetsParameter from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/presets-parameter' +import ParameterItem from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item' +import Loading from '@/app/components/base/loading' +import type { + FormValue, + ModelParameterRule, +} from '@/app/components/header/account-setting/model-provider-page/declarations' +import type { ParameterValue } from '@/app/components/header/account-setting/model-provider-page/model-parameter-modal/parameter-item' +import { fetchModelParameterRules } from '@/service/common' +import { TONE_LIST } from '@/config' +import cn from '@/utils/classnames' + +const PROVIDER_WITH_PRESET_TONE = ['langgenius/openai/openai', 'langgenius/azure_openai/azure_openai'] +const stopParameterRule: ModelParameterRule = { + default: [], + help: { + en_US: 'Up to four sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.', + zh_Hans: '最多四个序列，API 将停止生成更多的 token。返回的文本将不包含停止序列。', + }, + label: { + en_US: 'Stop sequences', + zh_Hans: '停止序列', + }, + name: 'stop', + required: false, + type: 'tag', + tagPlaceholder: { + en_US: 'Enter sequence and press Tab', + zh_Hans: '输入序列并按 Tab 键', + }, +} + +type Props = { + isAdvancedMode: boolean + provider: string + modelId: string + completionParams: FormValue + onCompletionParamsChange: (newParams: FormValue) => void +} + +const LLMParamsPanel = ({ + isAdvancedMode, + provider, + modelId, + completionParams, + onCompletionParamsChange, +}: Props) => { + const { t } = useTranslation() + const { data: parameterRulesData, isLoading } = useSWR( + (provider && modelId) + ? `/workspaces/current/model-providers/${provider}/models/parameter-rules?model=${modelId}` + : null, fetchModelParameterRules, + ) + + const parameterRules: ModelParameterRule[] = useMemo(() => { + return parameterRulesData?.data || [] + }, [parameterRulesData]) + + const handleSelectPresetParameter = (toneId: number) => { + const tone = TONE_LIST.find(tone => tone.id === toneId) + if (tone) { + onCompletionParamsChange({ + ...completionParams, + ...tone.config, + }) + } + } + const handleParamChange = (key: string, value: ParameterValue) => { + onCompletionParamsChange({ + ...completionParams, + [key]: value, + }) + } + const handleSwitch = (key: string, value: boolean, assignValue: ParameterValue) => { + if (!value) { + const newCompletionParams = { ...completionParams } + delete newCompletionParams[key] + + onCompletionParamsChange(newCompletionParams) + } + if (value) { + onCompletionParamsChange({ + ...completionParams, + [key]: assignValue, + }) + } + } + + if (isLoading) { + return ( + <div className='mt-5'><Loading /></div> + ) + } + + return ( + <> + <div className='flex items-center justify-between mb-2'> + <div className={cn('h-6 flex items-center text-text-secondary system-sm-semibold')}>{t('common.modelProvider.parameters')}</div> + { + PROVIDER_WITH_PRESET_TONE.includes(provider) && ( + <PresetsParameter onSelect={handleSelectPresetParameter} /> + ) + } + </div> + {!!parameterRules.length && ( + [ + ...parameterRules, + ...(isAdvancedMode ? [stopParameterRule] : []), + ].map(parameter => ( + <ParameterItem + key={`${modelId}-${parameter.name}`} + parameterRule={parameter} + value={completionParams?.[parameter.name]} + onChange={v => handleParamChange(parameter.name, v)} + onSwitch={(checked, assignValue) => handleSwitch(parameter.name, checked, assignValue)} + isInWorkflow + /> + )))} + </> + ) +} + +export default LLMParamsPanel diff --git a/web/app/components/plugins/plugin-detail-panel/model-selector/tts-params-panel.tsx b/web/app/components/plugins/plugin-detail-panel/model-selector/tts-params-panel.tsx new file mode 100644 index 00000000000000..a13b9905d3a6ab --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/model-selector/tts-params-panel.tsx @@ -0,0 +1,67 @@ +import React, { useMemo } from 'react' +import { useTranslation } from 'react-i18next' +import { languages } from '@/i18n/language' +import { PortalSelect } from '@/app/components/base/select' +import cn from '@/utils/classnames' + +type Props = { + currentModel: any + language: string + voice: string + onChange: (language: string, voice: string) => void +} + +const TTSParamsPanel = ({ + currentModel, + language, + voice, + onChange, +}: Props) => { + const { t } = useTranslation() + const voiceList = useMemo(() => { + if (!currentModel) + return [] + return currentModel.model_properties.voices.map((item: { mode: any }) => ({ + ...item, + value: item.mode, + })) + }, [currentModel]) + const setLanguage = (language: string) => { + onChange(language, voice) + } + const setVoice = (voice: string) => { + onChange(language, voice) + } + return ( + <> + <div className='mb-3'> + <div className='mb-1 py-1 flex items-center text-text-secondary system-sm-semibold'> + {t('appDebug.voice.voiceSettings.language')} + </div> + <PortalSelect + triggerClassName='h-8' + popupClassName={cn('z-[1000]')} + popupInnerClassName={cn('w-[354px]')} + value={language} + items={languages.filter(item => item.supported)} + onSelect={item => setLanguage(item.value as string)} + /> + </div> + <div className='mb-3'> + <div className='mb-1 py-1 flex items-center text-text-secondary system-sm-semibold'> + {t('appDebug.voice.voiceSettings.voice')} + </div> + <PortalSelect + triggerClassName='h-8' + popupClassName={cn('z-[1000]')} + popupInnerClassName={cn('w-[354px]')} + value={voice} + items={voiceList} + onSelect={item => setVoice(item.value as string)} + /> + </div> + </> + ) +} + +export default TTSParamsPanel diff --git a/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx new file mode 100644 index 00000000000000..13a48dbabe5158 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx @@ -0,0 +1,172 @@ +import React from 'react' +import { useTranslation } from 'react-i18next' +import { + RiAddLine, + RiArrowDropDownLine, + RiQuestionLine, +} from '@remixicon/react' +import ToolSelector from '@/app/components/plugins/plugin-detail-panel/tool-selector' +import ActionButton from '@/app/components/base/action-button' +import Tooltip from '@/app/components/base/tooltip' +import Divider from '@/app/components/base/divider' +import type { ToolValue } from '@/app/components/workflow/block-selector/types' +import type { Node } from 'reactflow' +import type { NodeOutPutVar } from '@/app/components/workflow/types' +import cn from '@/utils/classnames' + +type Props = { + disabled?: boolean + value: ToolValue[] + label: string + required?: boolean + tooltip?: any + supportCollapse?: boolean + scope?: string + onChange: (value: ToolValue[]) => void + nodeOutputVars: NodeOutPutVar[], + availableNodes: Node[], + nodeId?: string +} + +const MultipleToolSelector = ({ + disabled, + value = [], + label, + required, + tooltip, + supportCollapse, + scope, + onChange, + nodeOutputVars, + availableNodes, + nodeId, +}: Props) => { + const { t } = useTranslation() + const enabledCount = value.filter(item => item.enabled).length + // collapse control + const [collapse, setCollapse] = React.useState(false) + const handleCollapse = () => { + if (supportCollapse) + setCollapse(!collapse) + } + + // add tool + const [open, setOpen] = React.useState(false) + const [panelShowState, setPanelShowState] = React.useState(true) + const handleAdd = (val: ToolValue) => { + const newValue = [...value, val] + // deduplication + const deduplication = newValue.reduce((acc, cur) => { + if (!acc.find(item => item.provider_name === cur.provider_name && item.tool_name === cur.tool_name)) + acc.push(cur) + return acc + }, [] as ToolValue[]) + // update value + onChange(deduplication) + setOpen(false) + } + + // delete tool + const handleDelete = (index: number) => { + const newValue = [...value] + newValue.splice(index, 1) + onChange(newValue) + } + + // configure tool + const handleConfigure = (val: ToolValue, index: number) => { + const newValue = [...value] + newValue[index] = val + onChange(newValue) + } + + return ( + <> + <div className='flex items-center mb-1'> + <div + className={cn('relative grow flex items-center gap-0.5', supportCollapse && 'cursor-pointer')} + onClick={handleCollapse} + > + <div className='h-6 flex items-center text-text-secondary system-sm-semibold-uppercase'>{label}</div> + {required && <div className='text-red-500'>*</div>} + {tooltip && ( + <Tooltip + popupContent={tooltip} + needsDelay + > + <div><RiQuestionLine className='w-3.5 h-3.5 text-text-quaternary hover:text-text-tertiary' /></div> + </Tooltip> + )} + {supportCollapse && ( + <div className='absolute -left-4 top-1'> + <RiArrowDropDownLine + className={cn( + 'w-4 h-4 text-text-tertiary', + collapse && 'transform -rotate-90', + )} + /> + </div> + )} + </div> + {value.length > 0 && ( + <> + <div className='flex items-center gap-1 text-text-tertiary system-xs-medium'> + <span>{`${enabledCount}/${value.length}`}</span> + <span>{t('appDebug.agent.tools.enabled')}</span> + </div> + <Divider type='vertical' className='ml-3 mr-1 h-3' /> + </> + )} + {!disabled && ( + <ActionButton className='mx-1' onClick={() => { + setOpen(!open) + setPanelShowState(true) + }}> + <RiAddLine className='w-4 h-4' /> + </ActionButton> + )} + </div> + {!collapse && ( + <> + <ToolSelector + nodeId={nodeId} + nodeOutputVars={nodeOutputVars} + availableNodes={availableNodes} + scope={scope} + value={undefined} + selectedTools={value} + onSelect={handleAdd} + controlledState={open} + onControlledStateChange={setOpen} + trigger={ + <div className=''></div> + } + panelShowState={panelShowState} + onPanelShowStateChange={setPanelShowState} + + /> + {value.length === 0 && ( + <div className='p-3 flex justify-center rounded-[10px] bg-background-section text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.empty')}</div> + )} + {value.length > 0 && value.map((item, index) => ( + <div className='mb-1' key={index}> + <ToolSelector + nodeId={nodeId} + nodeOutputVars={nodeOutputVars} + availableNodes={availableNodes} + scope={scope} + value={item} + selectedTools={value} + onSelect={item => handleConfigure(item, index)} + onDelete={() => handleDelete(index)} + supportEnableSwitch + /> + </div> + ))} + </> + )} + </> + ) +} + +export default MultipleToolSelector diff --git a/web/app/components/plugins/plugin-detail-panel/operation-dropdown.tsx b/web/app/components/plugins/plugin-detail-panel/operation-dropdown.tsx new file mode 100644 index 00000000000000..422ff447a4c6d6 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/operation-dropdown.tsx @@ -0,0 +1,101 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useRef, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { PluginSource } from '../types' +import { RiArrowRightUpLine, RiMoreFill } from '@remixicon/react' +import ActionButton from '@/app/components/base/action-button' +// import Button from '@/app/components/base/button' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import cn from '@/utils/classnames' + +type Props = { + source: PluginSource + onInfo: () => void + onCheckVersion: () => void + onRemove: () => void + detailUrl: string +} + +const OperationDropdown: FC<Props> = ({ + source, + detailUrl, + onInfo, + onCheckVersion, + onRemove, +}) => { + const { t } = useTranslation() + const [open, doSetOpen] = useState(false) + const openRef = useRef(open) + const setOpen = useCallback((v: boolean) => { + doSetOpen(v) + openRef.current = v + }, [doSetOpen]) + + const handleTrigger = useCallback(() => { + setOpen(!openRef.current) + }, [setOpen]) + + return ( + <PortalToFollowElem + open={open} + onOpenChange={setOpen} + placement='bottom-end' + offset={{ + mainAxis: -12, + crossAxis: 36, + }} + > + <PortalToFollowElemTrigger onClick={handleTrigger}> + <div> + <ActionButton className={cn(open && 'bg-state-base-hover')}> + <RiMoreFill className='w-4 h-4' /> + </ActionButton> + </div> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-50'> + <div className='w-[160px] p-1 bg-components-panel-bg-blur rounded-xl border-[0.5px] border-components-panel-border shadow-lg'> + {source === PluginSource.github && ( + <div + onClick={() => { + onInfo() + handleTrigger() + }} + className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover' + >{t('plugin.detailPanel.operation.info')}</div> + )} + {source === PluginSource.github && ( + <div + onClick={() => { + onCheckVersion() + handleTrigger() + }} + className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover' + >{t('plugin.detailPanel.operation.checkUpdate')}</div> + )} + {(source === PluginSource.marketplace || source === PluginSource.github) && ( + <a href={detailUrl} target='_blank' className='flex items-center px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'> + <span className='grow'>{t('plugin.detailPanel.operation.viewDetail')}</span> + <RiArrowRightUpLine className='shrink-0 w-3.5 h-3.5 text-text-tertiary' /> + </a> + )} + {(source === PluginSource.marketplace || source === PluginSource.github) && ( + <div className='my-1 h-px bg-divider-subtle'></div> + )} + <div + onClick={() => { + onRemove() + handleTrigger() + }} + className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:text-text-destructive hover:bg-state-destructive-hover' + >{t('plugin.detailPanel.operation.remove')}</div> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} +export default React.memo(OperationDropdown) diff --git a/web/app/components/plugins/plugin-detail-panel/strategy-detail.tsx b/web/app/components/plugins/plugin-detail-panel/strategy-detail.tsx new file mode 100644 index 00000000000000..a7f1d840715dbf --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/strategy-detail.tsx @@ -0,0 +1,164 @@ +'use client' +import type { FC } from 'react' +import React, { useMemo } from 'react' +import { useTranslation } from 'react-i18next' +import { + RiArrowLeftLine, + RiCloseLine, +} from '@remixicon/react' +import Drawer from '@/app/components/base/drawer' +import ActionButton from '@/app/components/base/action-button' +import Icon from '@/app/components/plugins/card/base/card-icon' +import Description from '@/app/components/plugins/card/base/description' +import Divider from '@/app/components/base/divider' +import type { + StrategyDetail, +} from '@/app/components/plugins/types' +import type { Locale } from '@/i18n' +import { useRenderI18nObject } from '@/hooks/use-i18n' +import { API_PREFIX } from '@/config' +import cn from '@/utils/classnames' + +type Props = { + provider: { + author: string + name: string + description: Record<Locale, string> + tenant_id: string + icon: string + label: Record<Locale, string> + tags: string[] + } + detail: StrategyDetail + onHide: () => void +} + +const StrategyDetail: FC<Props> = ({ + provider, + detail, + onHide, +}) => { + const getValueFromI18nObject = useRenderI18nObject() + const { t } = useTranslation() + + const outputSchema = useMemo(() => { + const res: any[] = [] + if (!detail.output_schema) + return [] + Object.keys(detail.output_schema.properties).forEach((outputKey) => { + const output = detail.output_schema.properties[outputKey] + res.push({ + name: outputKey, + type: output.type === 'array' + ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]` + : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`, + description: output.description, + }) + }) + return res + }, [detail.output_schema]) + + const getType = (type: string) => { + if (type === 'number-input') + return t('tools.setBuiltInTools.number') + if (type === 'text-input') + return t('tools.setBuiltInTools.string') + if (type === 'file') + return t('tools.setBuiltInTools.file') + if (type === 'array[tools]') + return 'multiple-tool-select' + return type + } + + return ( + <Drawer + isOpen + clickOutsideNotOpen={false} + onClose={onHide} + footer={null} + mask={false} + positionCenter={false} + panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')} + > + <> + {/* header */} + <div className='relative p-4 pb-3 border-b border-divider-subtle'> + <div className='absolute top-3 right-3'> + <ActionButton onClick={onHide}> + <RiCloseLine className='w-4 h-4' /> + </ActionButton> + </div> + <div + className='mb-2 flex items-center gap-1 text-text-accent-secondary system-xs-semibold-uppercase cursor-pointer' + onClick={onHide} + > + <RiArrowLeftLine className='w-4 h-4' /> + BACK + </div> + <div className='flex items-center gap-1'> + <Icon size='tiny' className='w-6 h-6' src={`${API_PREFIX}/workspaces/current/plugin/icon?tenant_id=${provider.tenant_id}&filename=${provider.icon}`} /> + <div className=''>{getValueFromI18nObject(provider.label)}</div> + </div> + <div className='mt-1 text-text-primary system-md-semibold'>{getValueFromI18nObject(detail.identity.label)}</div> + <Description className='mt-3' text={getValueFromI18nObject(detail.description)} descriptionLineRows={2}></Description> + </div> + {/* form */} + <div className='h-full'> + <div className='flex flex-col h-full overflow-y-auto'> + <div className='p-4 pb-1 text-text-primary system-sm-semibold-uppercase'>{t('tools.setBuiltInTools.parameters')}</div> + <div className='px-4'> + {detail.parameters.length > 0 && ( + <div className='py-2 space-y-1'> + {detail.parameters.map((item: any, index) => ( + <div key={index} className='py-1'> + <div className='flex items-center gap-2'> + <div className='text-text-secondary code-sm-semibold'>{getValueFromI18nObject(item.label)}</div> + <div className='text-text-tertiary system-xs-regular'> + {getType(item.type)} + </div> + {item.required && ( + <div className='text-text-warning-secondary system-xs-medium'>{t('tools.setBuiltInTools.required')}</div> + )} + </div> + {item.human_description && ( + <div className='mt-0.5 text-text-tertiary system-xs-regular'> + {getValueFromI18nObject(item.human_description)} + </div> + )} + </div> + ))} + </div> + )} + </div> + {detail.output_schema && ( + <> + <div className='px-4'> + <Divider className="!mt-2" /> + </div> + <div className='p-4 pb-1 text-text-primary system-sm-semibold-uppercase'>OUTPUT</div> + {outputSchema.length > 0 && ( + <div className='px-4 py-2 space-y-1'> + {outputSchema.map((outputItem, index) => ( + <div key={index} className='py-1'> + <div className='flex items-center gap-2'> + <div className='text-text-secondary code-sm-semibold'>{outputItem.name}</div> + <div className='text-text-tertiary system-xs-regular'>{outputItem.type}</div> + </div> + {outputItem.description && ( + <div className='mt-0.5 text-text-tertiary system-xs-regular'> + {outputItem.description} + </div> + )} + </div> + ))} + </div> + )} + </> + )} + </div> + </div> + </> + </Drawer> + ) +} +export default StrategyDetail diff --git a/web/app/components/plugins/plugin-detail-panel/strategy-item.tsx b/web/app/components/plugins/plugin-detail-panel/strategy-item.tsx new file mode 100644 index 00000000000000..fd2fea99e0bac8 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/strategy-item.tsx @@ -0,0 +1,50 @@ +'use client' +import React, { useState } from 'react' +import StrategyDetailPanel from './strategy-detail' +import type { + StrategyDetail, +} from '@/app/components/plugins/types' +import type { Locale } from '@/i18n' +import { useRenderI18nObject } from '@/hooks/use-i18n' +import cn from '@/utils/classnames' + +type Props = { + provider: { + author: string + name: string + description: Record<Locale, string> + tenant_id: string + icon: string + label: Record<Locale, string> + tags: string[] + } + detail: StrategyDetail +} + +const StrategyItem = ({ + provider, + detail, +}: Props) => { + const getValueFromI18nObject = useRenderI18nObject() + const [showDetail, setShowDetail] = useState(false) + + return ( + <> + <div + className={cn('mb-2 px-4 py-3 bg-components-panel-item-bg rounded-xl border-[0.5px] border-components-panel-border-subtle shadow-xs cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover')} + onClick={() => setShowDetail(true)} + > + <div className='pb-0.5 text-text-secondary system-md-semibold'>{getValueFromI18nObject(detail.identity.label)}</div> + <div className='text-text-tertiary system-xs-regular line-clamp-2' title={getValueFromI18nObject(detail.description)}>{getValueFromI18nObject(detail.description)}</div> + </div> + {showDetail && ( + <StrategyDetailPanel + provider={provider} + detail={detail} + onHide={() => setShowDetail(false)} + /> + )} + </> + ) +} +export default StrategyItem diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/hooks.ts b/web/app/components/plugins/plugin-detail-panel/tool-selector/hooks.ts new file mode 100644 index 00000000000000..57c1fbd7c3ceb4 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/hooks.ts @@ -0,0 +1,14 @@ +import { + usePluginManifestInfo, +} from '@/service/use-plugins' + +export const usePluginInstalledCheck = (providerName = '') => { + const pluginID = providerName?.split('/').splice(0, 2).join('/') + + const { data: manifest } = usePluginManifestInfo(pluginID) + + return { + inMarketPlace: !!manifest, + manifest: manifest?.data.plugin, + } +} diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx new file mode 100644 index 00000000000000..0b5e50a6838168 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx @@ -0,0 +1,457 @@ +'use client' +import type { FC } from 'react' +import React, { useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import Link from 'next/link' +import { + RiArrowLeftLine, + RiArrowRightUpLine, +} from '@remixicon/react' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import ToolTrigger from '@/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger' +import ToolItem from '@/app/components/plugins/plugin-detail-panel/tool-selector/tool-item' +import ToolPicker from '@/app/components/workflow/block-selector/tool-picker' +import Button from '@/app/components/base/button' +import Indicator from '@/app/components/header/indicator' +import ToolCredentialForm from '@/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form' +import Toast from '@/app/components/base/toast' +import Textarea from '@/app/components/base/textarea' +import Divider from '@/app/components/base/divider' +import TabSlider from '@/app/components/base/tab-slider-plain' +import ReasoningConfigForm from '@/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form' +import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form' +import { generateFormValue, getPlainValue, getStructureValue, toolParametersToFormSchemas } from '@/app/components/tools/utils/to-form-schema' + +import { useAppContext } from '@/context/app-context' +import { + useAllBuiltInTools, + useAllCustomTools, + useAllWorkflowTools, + useInvalidateAllBuiltInTools, + useUpdateProviderCredentials, +} from '@/service/use-tools' +import { useInvalidateInstalledPluginList } from '@/service/use-plugins' +import { usePluginInstalledCheck } from '@/app/components/plugins/plugin-detail-panel/tool-selector/hooks' +import { CollectionType } from '@/app/components/tools/types' +import type { ToolDefaultValue, ToolValue } from '@/app/components/workflow/block-selector/types' +import type { + OffsetOptions, + Placement, +} from '@floating-ui/react' +import { MARKETPLACE_API_PREFIX } from '@/config' +import type { Node } from 'reactflow' +import type { NodeOutPutVar } from '@/app/components/workflow/types' +import cn from '@/utils/classnames' + +type Props = { + disabled?: boolean + placement?: Placement + offset?: OffsetOptions + scope?: string + value?: ToolValue + selectedTools?: ToolValue[] + onSelect: (tool: { + provider_name: string + tool_name: string + tool_label: string + settings?: Record<string, any> + parameters?: Record<string, any> + extra?: Record<string, any> + }) => void + onDelete?: () => void + supportEnableSwitch?: boolean + supportAddCustomTool?: boolean + trigger?: React.ReactNode + controlledState?: boolean + onControlledStateChange?: (state: boolean) => void + panelShowState?: boolean + onPanelShowStateChange?: (state: boolean) => void + nodeOutputVars: NodeOutPutVar[], + availableNodes: Node[], + nodeId?: string, +} +const ToolSelector: FC<Props> = ({ + value, + selectedTools, + disabled, + placement = 'left', + offset = 4, + onSelect, + onDelete, + scope, + supportEnableSwitch, + trigger, + controlledState, + onControlledStateChange, + panelShowState, + onPanelShowStateChange, + nodeOutputVars, + availableNodes, + nodeId = '', +}) => { + const { t } = useTranslation() + const [isShow, onShowChange] = useState(false) + const handleTriggerClick = () => { + if (disabled) return + onShowChange(true) + } + + const { data: buildInTools } = useAllBuiltInTools() + const { data: customTools } = useAllCustomTools() + const { data: workflowTools } = useAllWorkflowTools() + const invalidateAllBuiltinTools = useInvalidateAllBuiltInTools() + const invalidateInstalledPluginList = useInvalidateInstalledPluginList() + + // plugin info check + const { inMarketPlace, manifest } = usePluginInstalledCheck(value?.provider_name) + + const currentProvider = useMemo(() => { + const mergedTools = [...(buildInTools || []), ...(customTools || []), ...(workflowTools || [])] + return mergedTools.find((toolWithProvider) => { + return toolWithProvider.id === value?.provider_name + }) + }, [value, buildInTools, customTools, workflowTools]) + + const [isShowChooseTool, setIsShowChooseTool] = useState(false) + const handleSelectTool = (tool: ToolDefaultValue) => { + const settingValues = generateFormValue(tool.params, toolParametersToFormSchemas(tool.paramSchemas.filter(param => param.form !== 'llm') as any)) + const paramValues = generateFormValue(tool.params, toolParametersToFormSchemas(tool.paramSchemas.filter(param => param.form === 'llm') as any), true) + const toolValue = { + provider_name: tool.provider_id, + type: tool.provider_type, + tool_name: tool.tool_name, + tool_label: tool.tool_label, + settings: settingValues, + parameters: paramValues, + enabled: tool.is_team_authorization, + extra: { + description: '', + }, + schemas: tool.paramSchemas, + } + onSelect(toolValue) + // setIsShowChooseTool(false) + } + + const handleDescriptionChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => { + onSelect({ + ...value, + extra: { + ...value?.extra, + description: e.target.value || '', + }, + } as any) + } + + // tool settings & params + const currentToolSettings = useMemo(() => { + if (!currentProvider) return [] + return currentProvider.tools.find(tool => tool.name === value?.tool_name)?.parameters.filter(param => param.form !== 'llm') || [] + }, [currentProvider, value]) + const currentToolParams = useMemo(() => { + if (!currentProvider) return [] + return currentProvider.tools.find(tool => tool.name === value?.tool_name)?.parameters.filter(param => param.form === 'llm') || [] + }, [currentProvider, value]) + const [currType, setCurrType] = useState('settings') + const showTabSlider = currentToolSettings.length > 0 && currentToolParams.length > 0 + const userSettingsOnly = currentToolSettings.length > 0 && !currentToolParams.length + const reasoningConfigOnly = currentToolParams.length > 0 && !currentToolSettings.length + + const settingsFormSchemas = useMemo(() => toolParametersToFormSchemas(currentToolSettings), [currentToolSettings]) + const paramsFormSchemas = useMemo(() => toolParametersToFormSchemas(currentToolParams), [currentToolParams]) + + const handleSettingsFormChange = (v: Record<string, any>) => { + const newValue = getStructureValue(v) + + const toolValue = { + ...value, + settings: newValue, + } + onSelect(toolValue as any) + } + const handleParamsFormChange = (v: Record<string, any>) => { + const toolValue = { + ...value, + parameters: v, + } + onSelect(toolValue as any) + } + + const handleEnabledChange = (state: boolean) => { + onSelect({ + ...value, + enabled: state, + } as any) + } + + // authorization + const { isCurrentWorkspaceManager } = useAppContext() + const [isShowSettingAuth, setShowSettingAuth] = useState(false) + const handleCredentialSettingUpdate = () => { + invalidateAllBuiltinTools() + Toast.notify({ + type: 'success', + message: t('common.api.actionSuccess'), + }) + setShowSettingAuth(false) + onShowChange(false) + } + + const { mutate: updatePermission } = useUpdateProviderCredentials({ + onSuccess: handleCredentialSettingUpdate, + }) + + // install from marketplace + const currentTool = useMemo(() => { + return currentProvider?.tools.find(tool => tool.name === value?.tool_name) + }, [currentProvider?.tools, value?.tool_name]) + const manifestIcon = useMemo(() => { + if (!manifest) + return '' + return `${MARKETPLACE_API_PREFIX}/plugins/${(manifest as any).plugin_id}/icon` + }, [manifest]) + const handleInstall = async () => { + invalidateAllBuiltinTools() + invalidateInstalledPluginList() + } + + return ( + <> + <PortalToFollowElem + placement={placement} + offset={offset} + open={trigger ? controlledState : isShow} + onOpenChange={trigger ? onControlledStateChange : onShowChange} + > + <PortalToFollowElemTrigger + className='w-full' + onClick={() => { + if (!currentProvider || !currentTool) return + handleTriggerClick() + }} + > + {trigger} + {!trigger && !value?.provider_name && ( + <ToolTrigger + isConfigure + open={isShow} + value={value} + provider={currentProvider} + /> + )} + {!trigger && value?.provider_name && ( + <ToolItem + open={isShow} + icon={currentProvider?.icon || manifestIcon} + providerName={value.provider_name} + toolLabel={value.tool_label || value.tool_name} + showSwitch={supportEnableSwitch} + switchValue={value.enabled} + onSwitchChange={handleEnabledChange} + onDelete={onDelete} + noAuth={currentProvider && currentTool && !currentProvider.is_team_authorization} + onAuth={() => setShowSettingAuth(true)} + uninstalled={!currentProvider && inMarketPlace} + versionMismatch={currentProvider && inMarketPlace && !currentTool} + installInfo={manifest?.latest_package_identifier} + onInstall={() => handleInstall()} + isError={(!currentProvider || !currentTool) && !inMarketPlace} + errorTip={ + <div className='space-y-1 max-w-[240px] text-xs'> + <h3 className='text-text-primary font-semibold'>{currentTool ? t('plugin.detailPanel.toolSelector.uninstalledTitle') : t('plugin.detailPanel.toolSelector.unsupportedTitle')}</h3> + <p className='text-text-secondary tracking-tight'>{currentTool ? t('plugin.detailPanel.toolSelector.uninstalledContent') : t('plugin.detailPanel.toolSelector.unsupportedContent')}</p> + <p> + <Link href={'/plugins'} className='text-text-accent tracking-tight'>{t('plugin.detailPanel.toolSelector.uninstalledLink')}</Link> + </p> + </div> + } + /> + )} + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-[1000]'> + <div className={cn('relative w-[361px] min-h-20 max-h-[642px] pb-4 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg', !isShowSettingAuth && 'overflow-y-auto pb-2')}> + {!isShowSettingAuth && ( + <> + <div className='px-4 pt-3.5 pb-1 text-text-primary system-xl-semibold'>{t('plugin.detailPanel.toolSelector.title')}</div> + {/* base form */} + <div className='px-4 py-2 flex flex-col gap-3'> + <div className='flex flex-col gap-1'> + <div className='h-6 flex items-center system-sm-semibold text-text-secondary'>{t('plugin.detailPanel.toolSelector.toolLabel')}</div> + <ToolPicker + panelClassName='w-[328px]' + placement='bottom' + offset={offset} + trigger={ + <ToolTrigger + open={panelShowState || isShowChooseTool} + value={value} + provider={currentProvider} + /> + } + isShow={panelShowState || isShowChooseTool} + onShowChange={trigger ? onPanelShowStateChange as any : setIsShowChooseTool} + disabled={false} + supportAddCustomTool + onSelect={handleSelectTool} + scope={scope} + selectedTools={selectedTools} + /> + </div> + <div className='flex flex-col gap-1'> + <div className='h-6 flex items-center system-sm-semibold text-text-secondary'>{t('plugin.detailPanel.toolSelector.descriptionLabel')}</div> + <Textarea + className='resize-none' + placeholder={t('plugin.detailPanel.toolSelector.descriptionPlaceholder')} + value={value?.extra?.description || ''} + onChange={handleDescriptionChange} + disabled={!value?.provider_name} + /> + </div> + </div> + {/* authorization */} + {currentProvider && currentProvider.type === CollectionType.builtIn && currentProvider.allow_delete && ( + <> + <Divider className='my-1 w-full' /> + <div className='px-4 py-2'> + {!currentProvider.is_team_authorization && ( + <Button + variant='primary' + className={cn('shrink-0 w-full')} + onClick={() => setShowSettingAuth(true)} + disabled={!isCurrentWorkspaceManager} + > + {t('tools.auth.unauthorized')} + </Button> + )} + {currentProvider.is_team_authorization && ( + <Button + variant='secondary' + className={cn('shrink-0 w-full')} + onClick={() => setShowSettingAuth(true)} + disabled={!isCurrentWorkspaceManager} + > + <Indicator className='mr-2' color={'green'} /> + {t('tools.auth.authorized')} + </Button> + )} + </div> + </> + )} + {/* tool settings */} + {(currentToolSettings.length > 0 || currentToolParams.length > 0) && currentProvider?.is_team_authorization && ( + <> + <Divider className='my-1 w-full' /> + {/* tabs */} + {nodeId && showTabSlider && ( + <TabSlider + className='shrink-0 mt-1 px-4' + itemClassName='py-3' + noBorderBottom + smallItem + value={currType} + onChange={(value) => { + setCurrType(value) + }} + options={[ + { value: 'settings', text: t('plugin.detailPanel.toolSelector.settings')! }, + { value: 'params', text: t('plugin.detailPanel.toolSelector.params')! }, + ]} + /> + )} + {nodeId && showTabSlider && currType === 'params' && ( + <div className='px-4 py-2'> + <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip1')}</div> + <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip2')}</div> + </div> + )} + {/* user settings only */} + {userSettingsOnly && ( + <div className='p-4 pb-1'> + <div className='text-text-primary system-sm-semibold-uppercase'>{t('plugin.detailPanel.toolSelector.settings')}</div> + </div> + )} + {/* reasoning config only */} + {nodeId && reasoningConfigOnly && ( + <div className='mb-1 p-4 pb-1'> + <div className='text-text-primary system-sm-semibold-uppercase'>{t('plugin.detailPanel.toolSelector.params')}</div> + <div className='pb-1'> + <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip1')}</div> + <div className='text-text-tertiary system-xs-regular'>{t('plugin.detailPanel.toolSelector.paramsTip2')}</div> + </div> + </div> + )} + {/* user settings form */} + {(currType === 'settings' || userSettingsOnly) && ( + <div className='px-4 py-2'> + <Form + value={getPlainValue(value?.settings || {})} + onChange={handleSettingsFormChange} + formSchemas={settingsFormSchemas as any} + isEditMode={true} + showOnVariableMap={{}} + validating={false} + inputClassName='bg-components-input-bg-normal hover:bg-components-input-bg-hover' + fieldMoreInfo={item => item.url + ? (<a + href={item.url} + target='_blank' rel='noopener noreferrer' + className='inline-flex items-center text-xs text-text-accent' + > + {t('tools.howToGet')} + <RiArrowRightUpLine className='ml-1 w-3 h-3' /> + </a>) + : null} + /> + </div> + )} + {/* reasoning config form */} + {nodeId && (currType === 'params' || reasoningConfigOnly) && ( + <ReasoningConfigForm + value={value?.parameters || {}} + onChange={handleParamsFormChange} + schemas={paramsFormSchemas as any} + nodeOutputVars={nodeOutputVars} + availableNodes={availableNodes} + nodeId={nodeId} + /> + )} + </> + )} + </> + )} + {/* authorization panel */} + {isShowSettingAuth && currentProvider && ( + <> + <div className='relative pt-3.5 flex flex-col gap-1'> + <div className='absolute -top-2 left-2 w-[345px] pt-2 rounded-t-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border'></div> + <div + className='px-3 h-6 flex items-center gap-1 text-text-accent-secondary system-xs-semibold-uppercase cursor-pointer' + onClick={() => setShowSettingAuth(false)} + > + <RiArrowLeftLine className='w-4 h-4' /> + BACK + </div> + <div className='px-4 text-text-primary system-xl-semibold'>{t('tools.auth.setupModalTitle')}</div> + <div className='px-4 text-text-tertiary system-xs-regular'>{t('tools.auth.setupModalTitleDescription')}</div> + </div> + <ToolCredentialForm + collection={currentProvider} + onCancel={() => setShowSettingAuth(false)} + onSaved={async value => updatePermission({ + providerName: currentProvider.name, + credentials: value, + })} + /> + </> + )} + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + </> + ) +} +export default React.memo(ToolSelector) diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form.tsx new file mode 100644 index 00000000000000..6ba8207856e25b --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/reasoning-config-form.tsx @@ -0,0 +1,275 @@ +import { useCallback, useState } from 'react' +import { useTranslation } from 'react-i18next' +import produce from 'immer' +import { + RiArrowRightUpLine, +} from '@remixicon/react' +import Tooltip from '@/app/components/base/tooltip' +import Switch from '@/app/components/base/switch' +import Input from '@/app/components/workflow/nodes/_base/components/input-support-select-var' +import VarReferencePicker from '@/app/components/workflow/nodes/_base/components/variable/var-reference-picker' +import AppSelector from '@/app/components/plugins/plugin-detail-panel/app-selector' +import ModelParameterModal from '@/app/components/plugins/plugin-detail-panel/model-selector' +import { useLanguage } from '@/app/components/header/account-setting/model-provider-page/hooks' +import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import type { Node } from 'reactflow' +import type { + NodeOutPutVar, + ValueSelector, + Var, +} from '@/app/components/workflow/types' +import type { ToolVarInputs } from '@/app/components/workflow/nodes/tool/types' +import { VarType as VarKindType } from '@/app/components/workflow/nodes/tool/types' +import { VarType } from '@/app/components/workflow/types' +import cn from '@/utils/classnames' + +type Props = { + value: Record<string, any> + onChange: (val: Record<string, any>) => void + schemas: any[] + nodeOutputVars: NodeOutPutVar[], + availableNodes: Node[], + nodeId: string +} + +const ReasoningConfigForm: React.FC<Props> = ({ + value, + onChange, + schemas, + nodeOutputVars, + availableNodes, + nodeId, +}) => { + const { t } = useTranslation() + const language = useLanguage() + const handleAutomatic = (key: string, val: any) => { + onChange({ + ...value, + [key]: { + value: val ? null : value[key]?.value, + auto: val ? 1 : 0, + }, + }) + } + + const [inputsIsFocus, setInputsIsFocus] = useState<Record<string, boolean>>({}) + const handleInputFocus = useCallback((variable: string) => { + return (value: boolean) => { + setInputsIsFocus((prev) => { + return { + ...prev, + [variable]: value, + } + }) + } + }, []) + const handleNotMixedTypeChange = useCallback((variable: string) => { + return (varValue: ValueSelector | string, varKindType: VarKindType) => { + const newValue = produce(value, (draft: ToolVarInputs) => { + const target = draft[variable].value + if (target) { + target.type = varKindType + target.value = varValue + } + else { + draft[variable].value = { + type: varKindType, + value: varValue, + } + } + }) + onChange(newValue) + } + }, [value, onChange]) + const handleMixedTypeChange = useCallback((variable: string) => { + return (itemValue: string) => { + const newValue = produce(value, (draft: ToolVarInputs) => { + const target = draft[variable].value + if (target) { + target.value = itemValue + } + else { + draft[variable].value = { + type: VarKindType.mixed, + value: itemValue, + } + } + }) + onChange(newValue) + } + }, [value, onChange]) + const handleFileChange = useCallback((variable: string) => { + return (varValue: ValueSelector | string) => { + const newValue = produce(value, (draft: ToolVarInputs) => { + draft[variable].value = { + type: VarKindType.variable, + value: varValue, + } + }) + onChange(newValue) + } + }, [value, onChange]) + const handleAppChange = useCallback((variable: string) => { + return (app: { + app_id: string + inputs: Record<string, any> + files?: any[] + }) => { + const newValue = produce(value, (draft: ToolVarInputs) => { + draft[variable].value = app as any + }) + onChange(newValue) + } + }, [onChange, value]) + const handleModelChange = useCallback((variable: string) => { + return (model: any) => { + const newValue = produce(value, (draft: ToolVarInputs) => { + draft[variable].value = { + ...draft[variable].value, + ...model, + } as any + }) + onChange(newValue) + } + }, [onChange, value]) + + const renderField = (schema: any) => { + const { + variable, + label, + required, + tooltip, + type, + scope, + url, + } = schema + const auto = value[variable]?.auto + const tooltipContent = (tooltip && ( + <Tooltip + popupContent={<div className='w-[200px]'> + {tooltip[language] || tooltip.en_US} + </div>} + triggerClassName='ml-1 w-4 h-4' + asChild={false} /> + )) + const varInput = value[variable].value + const isNumber = type === FormTypeEnum.textNumber + const isSelect = type === FormTypeEnum.select + const isFile = type === FormTypeEnum.file || type === FormTypeEnum.files + const isAppSelector = type === FormTypeEnum.appSelector + const isModelSelector = type === FormTypeEnum.modelSelector + // const isToolSelector = type === FormTypeEnum.toolSelector + const isString = !isNumber && !isSelect && !isFile && !isAppSelector && !isModelSelector + return ( + <div key={variable} className='space-y-1'> + <div className='flex items-center justify-between py-2 system-sm-semibold text-text-secondary'> + <div className='flex items-center space-x-2'> + <span className={cn('text-text-secondary code-sm-semibold')}>{label[language] || label.en_US}</span> + {required && ( + <span className='ml-1 text-red-500'>*</span> + )} + {tooltipContent} + </div> + <div className='flex items-center gap-1 px-2 py-1 rounded-[6px] border border-divider-subtle bg-background-default-lighter cursor-pointer hover:bg-state-base-hover' onClick={() => handleAutomatic(variable, !auto)}> + <span className='text-text-secondary system-xs-medium'>{t('plugin.detailPanel.toolSelector.auto')}</span> + <Switch + size='xs' + defaultValue={!!auto} + onChange={val => handleAutomatic(variable, val)} + /> + </div> + </div> + {auto === 0 && ( + <> + {isString && ( + <Input + className={cn(inputsIsFocus[variable] ? 'shadow-xs bg-gray-50 border-gray-300' : 'bg-gray-100 border-gray-100', 'rounded-lg px-3 py-[6px] border')} + value={varInput?.value as string || ''} + onChange={handleMixedTypeChange(variable)} + nodesOutputVars={nodeOutputVars} + availableNodes={availableNodes} + onFocusChange={handleInputFocus(variable)} + placeholder={t('workflow.nodes.http.insertVarPlaceholder')!} + placeholderClassName='!leading-[21px]' + /> + )} + {/* {isString && ( + <VarReferencePicker + zIndex={1001} + readonly={false} + isShowNodeName + nodeId={nodeId} + value={varInput?.value || ''} + onChange={handleNotMixedTypeChange(variable)} + defaultVarKindType={VarKindType.variable} + filterVar={(varPayload: Var) => varPayload.type === VarType.number || varPayload.type === VarType.secret || varPayload.type === VarType.string} + /> + )} */} + {(isNumber || isSelect) && ( + <VarReferencePicker + zIndex={1001} + readonly={false} + isShowNodeName + nodeId={nodeId} + value={varInput?.type === VarKindType.constant ? (varInput?.value ?? '') : (varInput?.value ?? [])} + onChange={handleNotMixedTypeChange(variable)} + defaultVarKindType={varInput?.type || (isNumber ? VarKindType.constant : VarKindType.variable)} + isSupportConstantValue + filterVar={isNumber ? (varPayload: Var) => varPayload.type === schema._type : undefined} + availableVars={isSelect ? nodeOutputVars : undefined} + schema={schema} + /> + )} + {isFile && ( + <VarReferencePicker + zIndex={1001} + readonly={false} + isShowNodeName + nodeId={nodeId} + value={varInput?.value || []} + onChange={handleFileChange(variable)} + defaultVarKindType={VarKindType.variable} + filterVar={(varPayload: Var) => varPayload.type === VarType.file || varPayload.type === VarType.arrayFile} + /> + )} + {isAppSelector && ( + <AppSelector + disabled={false} + scope={scope || 'all'} + value={varInput as any} + onSelect={handleAppChange(variable)} + /> + )} + {isModelSelector && ( + <ModelParameterModal + popupClassName='!w-[387px]' + isAdvancedMode + isInWorkflow + value={varInput as any} + setModel={handleModelChange(variable)} + scope={scope} + /> + )} + </> + )} + {url && ( + <a + href={url} + target='_blank' rel='noopener noreferrer' + className='inline-flex items-center text-xs text-text-accent' + > + {t('tools.howToGet')} + <RiArrowRightUpLine className='ml-1 w-3 h-3' /> + </a> + )} + </div> + ) + } + return ( + <div className='px-4 py-2 space-y-3'> + {schemas.map(schema => renderField(schema))} + </div> + ) +} + +export default ReasoningConfigForm diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form.tsx new file mode 100644 index 00000000000000..6334e792f98112 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-credentials-form.tsx @@ -0,0 +1,97 @@ +'use client' +import type { FC } from 'react' +import React, { useEffect, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { + RiArrowRightUpLine, +} from '@remixicon/react' +import { addDefaultValue, toolCredentialToFormSchemas } from '@/app/components/tools/utils/to-form-schema' +import type { Collection } from '@/app/components/tools/types' +import Button from '@/app/components/base/button' +import Toast from '@/app/components/base/toast' +import { fetchBuiltInToolCredential, fetchBuiltInToolCredentialSchema } from '@/service/tools' +import Loading from '@/app/components/base/loading' +import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form' +import { useRenderI18nObject } from '@/hooks/use-i18n' +import cn from '@/utils/classnames' + +type Props = { + collection: Collection + onCancel: () => void + onSaved: (value: Record<string, any>) => void +} + +const ToolCredentialForm: FC<Props> = ({ + collection, + onCancel, + onSaved, +}) => { + const getValueFromI18nObject = useRenderI18nObject() + const { t } = useTranslation() + const [credentialSchema, setCredentialSchema] = useState<any>(null) + const { name: collectionName } = collection + const [tempCredential, setTempCredential] = React.useState<any>({}) + useEffect(() => { + fetchBuiltInToolCredentialSchema(collectionName).then(async (res) => { + const toolCredentialSchemas = toolCredentialToFormSchemas(res) + const credentialValue = await fetchBuiltInToolCredential(collectionName) + setTempCredential(credentialValue) + const defaultCredentials = addDefaultValue(credentialValue, toolCredentialSchemas) + setCredentialSchema(toolCredentialSchemas) + setTempCredential(defaultCredentials) + }) + }, []) + + const handleSave = () => { + for (const field of credentialSchema) { + if (field.required && !tempCredential[field.name]) { + Toast.notify({ type: 'error', message: t('common.errorMsg.fieldRequired', { field: getValueFromI18nObject(field.label) }) }) + return + } + } + onSaved(tempCredential) + } + + return ( + <> + {!credentialSchema + ? <div className='pt-3'><Loading type='app' /></div> + : ( + <> + <div className='px-4 max-h-[464px] overflow-y-auto'> + <Form + value={tempCredential} + onChange={(v) => { + setTempCredential(v) + }} + formSchemas={credentialSchema} + isEditMode={true} + showOnVariableMap={{}} + validating={false} + inputClassName='bg-components-input-bg-normal hover:bg-components-input-bg-hover' + fieldMoreInfo={item => item.url + ? (<a + href={item.url} + target='_blank' rel='noopener noreferrer' + className='inline-flex items-center text-xs text-text-accent' + > + {t('tools.howToGet')} + <RiArrowRightUpLine className='ml-1 w-3 h-3' /> + </a>) + : null} + /> + </div> + <div className={cn('mt-1 flex justify-end px-4')} > + <div className='flex space-x-2'> + <Button onClick={onCancel}>{t('common.operation.cancel')}</Button> + <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button> + </div> + </div> + </> + ) + } + + </> + ) +} +export default React.memo(ToolCredentialForm) diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-item.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-item.tsx new file mode 100644 index 00000000000000..e99d06508de9b8 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-item.tsx @@ -0,0 +1,163 @@ +'use client' +import React, { useState } from 'react' +import { useTranslation } from 'react-i18next' +import { + RiDeleteBinLine, + RiEqualizer2Line, + RiErrorWarningFill, +} from '@remixicon/react' +import { Group } from '@/app/components/base/icons/src/vender/other' +import AppIcon from '@/app/components/base/app-icon' +import Switch from '@/app/components/base/switch' +import Button from '@/app/components/base/button' +import Indicator from '@/app/components/header/indicator' +import ActionButton from '@/app/components/base/action-button' +import Tooltip from '@/app/components/base/tooltip' +import { ToolTipContent } from '@/app/components/base/tooltip/content' +import { InstallPluginButton } from '@/app/components/workflow/nodes/_base/components/install-plugin-button' +import { SwitchPluginVersion } from '@/app/components/workflow/nodes/_base/components/switch-plugin-version' +import cn from '@/utils/classnames' + +type Props = { + icon?: any + providerName?: string + toolLabel?: string + showSwitch?: boolean + switchValue?: boolean + onSwitchChange?: (value: boolean) => void + onDelete?: () => void + noAuth?: boolean + onAuth?: () => void + isError?: boolean + errorTip?: any + uninstalled?: boolean + installInfo?: string + onInstall?: () => void + versionMismatch?: boolean + open: boolean +} + +const ToolItem = ({ + open, + icon, + providerName, + toolLabel, + showSwitch, + switchValue, + onSwitchChange, + onDelete, + noAuth, + onAuth, + uninstalled, + installInfo, + onInstall, + isError, + errorTip, + versionMismatch, +}: Props) => { + const { t } = useTranslation() + const providerNameText = providerName?.split('/').pop() + const isTransparent = uninstalled || versionMismatch || isError + const [isDeleting, setIsDeleting] = useState(false) + + return ( + <div className={cn( + 'group p-1.5 pr-2 flex items-center gap-1 bg-components-panel-on-panel-item-bg border-[0.5px] border-components-panel-border-subtle rounded-lg shadow-xs cursor-default hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-sm', + open && 'bg-components-panel-on-panel-item-bg-hover shadow-sm', + isDeleting && 'hover:bg-state-destructive-hover border-state-destructive-border shadow-xs', + )}> + {icon && ( + <div className={cn('shrink-0', isTransparent && 'opacity-50')}> + {typeof icon === 'string' && <div className='w-7 h-7 bg-cover bg-center border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge rounded-lg' style={{ backgroundImage: `url(${icon})` }} />} + {typeof icon !== 'string' && <AppIcon className='w-7 h-7 border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge rounded-lg' size='xs' icon={icon?.content} background={icon?.background} />} + </div> + )} + {!icon && ( + <div className={cn( + 'flex items-center justify-center w-7 h-7 rounded-md border-[0.5px] border-components-panel-border-subtle bg-background-default-subtle', + )}> + <div className='flex w-5 h-5 items-center justify-center opacity-35'> + <Group className='text-text-tertiary' /> + </div> + </div> + )} + <div className={cn('pl-0.5 grow truncate', isTransparent && 'opacity-50')}> + <div className='text-text-tertiary system-2xs-medium-uppercase'>{providerNameText}</div> + <div className='text-text-secondary system-xs-medium'>{toolLabel}</div> + </div> + <div className='hidden group-hover:flex items-center gap-1'> + {!noAuth && !isError && !uninstalled && !versionMismatch && ( + <ActionButton> + <RiEqualizer2Line className='w-4 h-4' /> + </ActionButton> + )} + <div + className='p-1 rounded-md text-text-tertiary cursor-pointer hover:text-text-destructive' + onClick={(e) => { + e.stopPropagation() + onDelete?.() + }} + onMouseOver={() => setIsDeleting(true)} + onMouseLeave={() => setIsDeleting(false)} + > + <RiDeleteBinLine className='w-4 h-4' /> + </div> + </div> + {!isError && !uninstalled && !noAuth && !versionMismatch && showSwitch && ( + <div className='mr-1' onClick={e => e.stopPropagation()}> + <Switch + size='md' + defaultValue={switchValue} + onChange={onSwitchChange} + /> + </div> + )} + {!isError && !uninstalled && !versionMismatch && noAuth && ( + <Button variant='secondary' size='small' onClick={onAuth}> + {t('tools.notAuthorized')} + <Indicator className='ml-2' color='orange' /> + </Button> + )} + {!isError && !uninstalled && versionMismatch && installInfo && ( + <div onClick={e => e.stopPropagation()}> + <SwitchPluginVersion + className='-mt-1' + uniqueIdentifier={installInfo} + tooltip={ + <ToolTipContent + title={t('plugin.detailPanel.toolSelector.unsupportedTitle')} + > + {`${t('plugin.detailPanel.toolSelector.unsupportedContent')} ${t('plugin.detailPanel.toolSelector.unsupportedContent2')}`} + </ToolTipContent> + } + onChange={() => { + onInstall?.() + }} + /> + </div> + )} + {!isError && uninstalled && installInfo && ( + <InstallPluginButton + onClick={e => e.stopPropagation()} + size={'small'} + uniqueIdentifier={installInfo} + onSuccess={() => { + onInstall?.() + }} + /> + )} + {isError && ( + <Tooltip + popupContent={errorTip} + needsDelay + > + <div> + <RiErrorWarningFill className='w-4 h-4 text-text-destructive' /> + </div> + </Tooltip> + )} + </div> + ) +} + +export default ToolItem diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger.tsx new file mode 100644 index 00000000000000..adea79adf5bb48 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/tool-trigger.tsx @@ -0,0 +1,63 @@ +'use client' +import React from 'react' +import { useTranslation } from 'react-i18next' +import { + RiArrowDownSLine, + RiEqualizer2Line, +} from '@remixicon/react' +import BlockIcon from '@/app/components/workflow/block-icon' +import { BlockEnum } from '@/app/components/workflow/types' +import type { ToolWithProvider } from '@/app/components/workflow/types' +import cn from '@/utils/classnames' + +type Props = { + open: boolean + provider?: ToolWithProvider + value?: { + provider_name: string + tool_name: string + } + isConfigure?: boolean +} + +const ToolTrigger = ({ + open, + provider, + value, + isConfigure, +}: Props) => { + const { t } = useTranslation() + return ( + <div className={cn( + 'group flex items-center p-2 pl-3 bg-components-input-bg-normal rounded-lg cursor-pointer hover:bg-state-base-hover-alt', + open && 'bg-state-base-hover-alt', + value?.provider_name && 'pl-1.5 py-1.5', + )}> + {value?.provider_name && provider && ( + <div className='shrink-0 mr-1 p-px rounded-lg bg-components-panel-bg border border-components-panel-border'> + <BlockIcon + className='!w-4 !h-4' + type={BlockEnum.Tool} + toolIcon={provider.icon} + /> + </div> + )} + {value?.tool_name && ( + <div className='grow system-sm-medium text-components-input-text-filled'>{value.tool_name}</div> + )} + {!value?.provider_name && ( + <div className='grow text-components-input-text-placeholder system-sm-regular'> + {!isConfigure ? t('plugin.detailPanel.toolSelector.placeholder') : t('plugin.detailPanel.configureTool')} + </div> + )} + {isConfigure && ( + <RiEqualizer2Line className={cn('shrink-0 ml-0.5 w-4 h-4 text-text-quaternary group-hover:text-text-secondary', open && 'text-text-secondary')} /> + )} + {!isConfigure && ( + <RiArrowDownSLine className={cn('shrink-0 ml-0.5 w-4 h-4 text-text-quaternary group-hover:text-text-secondary', open && 'text-text-secondary')} /> + )} + </div> + ) +} + +export default ToolTrigger diff --git a/web/app/components/plugins/plugin-detail-panel/utils.ts b/web/app/components/plugins/plugin-detail-panel/utils.ts new file mode 100644 index 00000000000000..fd51142a38bdf7 --- /dev/null +++ b/web/app/components/plugins/plugin-detail-panel/utils.ts @@ -0,0 +1,21 @@ +import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' + +export const NAME_FIELD = { + type: FormTypeEnum.textInput, + name: 'name', + label: { + en_US: 'Endpoint Name', + zh_Hans: '端点名称', + ja_JP: 'エンドポイント名', + pt_BR: 'Nome do ponto final', + }, + placeholder: { + en_US: 'Endpoint Name', + zh_Hans: '端点名称', + ja_JP: 'エンドポイント名', + pt_BR: 'Nome do ponto final', + }, + required: true, + default: '', + help: null, +} diff --git a/web/app/components/plugins/plugin-item/action.tsx b/web/app/components/plugins/plugin-item/action.tsx new file mode 100644 index 00000000000000..393c1a7bc9fdc4 --- /dev/null +++ b/web/app/components/plugins/plugin-item/action.tsx @@ -0,0 +1,165 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback } from 'react' +import { type MetaData, PluginSource } from '../types' +import { RiDeleteBinLine, RiInformation2Line, RiLoopLeftLine } from '@remixicon/react' +import { useBoolean } from 'ahooks' +import { useTranslation } from 'react-i18next' +import PluginInfo from '../plugin-page/plugin-info' +import ActionButton from '../../base/action-button' +import Tooltip from '../../base/tooltip' +import Confirm from '../../base/confirm' +import { uninstallPlugin } from '@/service/plugins' +import { useGitHubReleases } from '../install-plugin/hooks' +import Toast from '@/app/components/base/toast' +import { useModalContext } from '@/context/modal-context' +import { useInvalidateInstalledPluginList } from '@/service/use-plugins' +import type { PluginType } from '@/app/components/plugins/types' + +const i18nPrefix = 'plugin.action' + +type Props = { + author: string + installationId: string + pluginUniqueIdentifier: string + pluginName: string + category: PluginType + usedInApps: number + isShowFetchNewVersion: boolean + isShowInfo: boolean + isShowDelete: boolean + onDelete: () => void + meta?: MetaData +} +const Action: FC<Props> = ({ + author, + installationId, + pluginUniqueIdentifier, + pluginName, + category, + isShowFetchNewVersion, + isShowInfo, + isShowDelete, + onDelete, + meta, +}) => { + const { t } = useTranslation() + const [isShowPluginInfo, { + setTrue: showPluginInfo, + setFalse: hidePluginInfo, + }] = useBoolean(false) + const [deleting, { + setTrue: showDeleting, + setFalse: hideDeleting, + }] = useBoolean(false) + const { checkForUpdates, fetchReleases } = useGitHubReleases() + const { setShowUpdatePluginModal } = useModalContext() + const invalidateInstalledPluginList = useInvalidateInstalledPluginList() + + const handleFetchNewVersion = async () => { + const owner = meta!.repo.split('/')[0] || author + const repo = meta!.repo.split('/')[1] || pluginName + const fetchedReleases = await fetchReleases(owner, repo) + if (fetchedReleases.length === 0) return + const { needUpdate, toastProps } = checkForUpdates(fetchedReleases, meta!.version) + Toast.notify(toastProps) + if (needUpdate) { + setShowUpdatePluginModal({ + onSaveCallback: () => { + invalidateInstalledPluginList() + }, + payload: { + type: PluginSource.github, + category, + github: { + originalPackageInfo: { + id: pluginUniqueIdentifier, + repo: meta!.repo, + version: meta!.version, + package: meta!.package, + releases: fetchedReleases, + }, + }, + }, + }) + } + } + + const [isShowDeleteConfirm, { + setTrue: showDeleteConfirm, + setFalse: hideDeleteConfirm, + }] = useBoolean(false) + + const handleDelete = useCallback(async () => { + showDeleting() + const res = await uninstallPlugin(installationId) + hideDeleting() + if (res.success) { + hideDeleteConfirm() + onDelete() + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [installationId, onDelete]) + return ( + <div className='flex space-x-1'> + {/* Only plugin installed from GitHub need to check if it's the new version */} + {isShowFetchNewVersion + && ( + <Tooltip popupContent={t(`${i18nPrefix}.checkForUpdates`)}> + <ActionButton onClick={handleFetchNewVersion}> + <RiLoopLeftLine className='w-4 h-4 text-text-tertiary' /> + </ActionButton> + </Tooltip> + ) + } + { + isShowInfo + && ( + <Tooltip popupContent={t(`${i18nPrefix}.pluginInfo`)}> + <ActionButton onClick={showPluginInfo}> + <RiInformation2Line className='w-4 h-4 text-text-tertiary' /> + </ActionButton> + </Tooltip> + ) + } + { + isShowDelete + && ( + <Tooltip popupContent={t(`${i18nPrefix}.delete`)}> + <ActionButton + className='hover:bg-state-destructive-hover text-text-tertiary hover:text-text-destructive' + onClick={showDeleteConfirm} + > + <RiDeleteBinLine className='w-4 h-4' /> + </ActionButton> + </Tooltip> + ) + } + + {isShowPluginInfo && ( + <PluginInfo + repository={meta!.repo} + release={meta!.version} + packageName={meta!.package} + onHide={hidePluginInfo} + /> + )} + <Confirm + isShow={isShowDeleteConfirm} + title={t(`${i18nPrefix}.delete`)} + content={ + <div> + {t(`${i18nPrefix}.deleteContentLeft`)}<span className='system-md-semibold'>{pluginName}</span>{t(`${i18nPrefix}.deleteContentRight`)}<br /> + {/* // todo: add usedInApps */} + {/* {usedInApps > 0 && t(`${i18nPrefix}.usedInApps`, { num: usedInApps })} */} + </div> + } + onCancel={hideDeleteConfirm} + onConfirm={handleDelete} + isLoading={deleting} + isDisabled={deleting} + /> + </div> + ) +} +export default React.memo(Action) diff --git a/web/app/components/plugins/plugin-item/index.tsx b/web/app/components/plugins/plugin-item/index.tsx new file mode 100644 index 00000000000000..d06f4061361626 --- /dev/null +++ b/web/app/components/plugins/plugin-item/index.tsx @@ -0,0 +1,177 @@ +'use client' +import type { FC } from 'react' +import React, { useMemo } from 'react' +import { + RiArrowRightUpLine, + RiBugLine, + RiHardDrive3Line, + RiLoginCircleLine, + RiVerifiedBadgeLine, +} from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import { usePluginPageContext } from '../plugin-page/context' +import { Github } from '../../base/icons/src/public/common' +import Badge from '../../base/badge' +import { type PluginDetail, PluginSource, PluginType } from '../types' +import CornerMark from '../card/base/corner-mark' +import Description from '../card/base/description' +import OrgInfo from '../card/base/org-info' +import Title from '../card/base/title' +import Action from './action' +import cn from '@/utils/classnames' +import { API_PREFIX, MARKETPLACE_URL_PREFIX } from '@/config' +import { useSingleCategories } from '../hooks' +import { useRenderI18nObject } from '@/hooks/use-i18n' +import useRefreshPluginList from '@/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list' + +type Props = { + className?: string + plugin: PluginDetail +} + +const PluginItem: FC<Props> = ({ + className, + plugin, +}) => { + const { t } = useTranslation() + const { categoriesMap } = useSingleCategories() + const currentPluginID = usePluginPageContext(v => v.currentPluginID) + const setCurrentPluginID = usePluginPageContext(v => v.setCurrentPluginID) + const { refreshPluginList } = useRefreshPluginList() + + const { + source, + tenant_id, + installation_id, + plugin_unique_identifier, + endpoints_active, + meta, + plugin_id, + } = plugin + const { category, author, name, label, description, icon, verified } = plugin.declaration + + const orgName = useMemo(() => { + return [PluginSource.github, PluginSource.marketplace].includes(source) ? author : '' + }, [source, author]) + + const handleDelete = () => { + refreshPluginList({ category } as any) + } + const getValueFromI18nObject = useRenderI18nObject() + const title = getValueFromI18nObject(label) + const descriptionText = getValueFromI18nObject(description) + + return ( + <div + className={cn( + 'p-1 rounded-xl border-[1.5px] border-background-section-burn', + currentPluginID === plugin_id && 'border-components-option-card-option-selected-border', + source === PluginSource.debugging + ? 'bg-[repeating-linear-gradient(-45deg,rgba(16,24,40,0.04),rgba(16,24,40,0.04)_5px,rgba(0,0,0,0.02)_5px,rgba(0,0,0,0.02)_10px)]' + : 'bg-background-section-burn', + )} + onClick={() => { + setCurrentPluginID(plugin.plugin_id) + }} + > + <div className={cn('relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover-bg-components-panel-on-panel-item-bg rounded-xl shadow-xs', className)}> + <CornerMark text={categoriesMap[category].label} /> + {/* Header */} + <div className="flex"> + <div className='flex items-center justify-center w-10 h-10 overflow-hidden border-components-panel-border-subtle border-[1px] rounded-xl'> + <img + className='w-full h-full' + src={`${API_PREFIX}/workspaces/current/plugin/icon?tenant_id=${tenant_id}&filename=${icon}`} + alt={`plugin-${plugin_unique_identifier}-logo`} + /> + </div> + <div className="ml-3 w-0 grow"> + <div className="flex items-center h-5"> + <Title title={title} /> + {verified && <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" />} + <Badge className='shrink-0 ml-1' text={source === PluginSource.github ? plugin.meta!.version : plugin.version} /> + </div> + <div className='flex items-center justify-between'> + <Description text={descriptionText} descriptionLineRows={1}></Description> + <div onClick={e => e.stopPropagation()}> + <Action + pluginUniqueIdentifier={plugin_unique_identifier} + installationId={installation_id} + author={author} + pluginName={name} + usedInApps={5} + isShowFetchNewVersion={source === PluginSource.github} + isShowInfo={source === PluginSource.github} + isShowDelete + meta={meta} + onDelete={handleDelete} + category={category} + /> + </div> + </div> + </div> + </div> + </div> + <div className='mt-1.5 mb-1 flex justify-between items-center h-4 px-4'> + <div className='flex items-center'> + <OrgInfo + className="mt-0.5" + orgName={orgName} + packageName={name} + packageNameClassName='w-auto max-w-[150px]' + /> + {category === PluginType.extension && ( + <> + <div className='mx-2 text-text-quaternary system-xs-regular'>·</div> + <div className='flex text-text-tertiary system-xs-regular space-x-1'> + <RiLoginCircleLine className='w-4 h-4' /> + <span>{t('plugin.endpointsEnabled', { num: endpoints_active })}</span> + </div> + </> + )} + </div> + + <div className='flex items-center'> + {source === PluginSource.github + && <> + <a href={`https://github.com/${meta!.repo}`} target='_blank' className='flex items-center gap-1'> + <div className='text-text-tertiary system-2xs-medium-uppercase'>{t('plugin.from')}</div> + <div className='flex items-center space-x-0.5 text-text-secondary'> + <Github className='w-3 h-3' /> + <div className='system-2xs-semibold-uppercase'>GitHub</div> + <RiArrowRightUpLine className='w-3 h-3' /> + </div> + </a> + </> + } + {source === PluginSource.marketplace + && <> + <a href={`${MARKETPLACE_URL_PREFIX}/plugins/${author}/${name}`} target='_blank' className='flex items-center gap-0.5'> + <div className='text-text-tertiary system-2xs-medium-uppercase'>{t('plugin.from')} <span className='text-text-secondary'>marketplace</span></div> + <RiArrowRightUpLine className='w-3 h-3 text-text-tertiary' /> + </a> + </> + } + {source === PluginSource.local + && <> + <div className='flex items-center gap-1'> + <RiHardDrive3Line className='text-text-tertiary w-3 h-3' /> + <div className='text-text-tertiary system-2xs-medium-uppercase'>Local Plugin</div> + </div> + </> + } + {source === PluginSource.debugging + && <> + <div className='flex items-center gap-1'> + <RiBugLine className='w-3 h-3 text-text-warning' /> + <div className='text-text-warning system-2xs-medium-uppercase'>Debugging Plugin</div> + </div> + </> + } + </div> + </div> + </div> + ) +} + +export default React.memo(PluginItem) diff --git a/web/app/components/plugins/plugin-mutation-model/index.tsx b/web/app/components/plugins/plugin-mutation-model/index.tsx new file mode 100644 index 00000000000000..36ab670ab3f0cb --- /dev/null +++ b/web/app/components/plugins/plugin-mutation-model/index.tsx @@ -0,0 +1,79 @@ +import type { FC, ReactNode } from 'react' +import React, { memo } from 'react' +import Card from '@/app/components/plugins/card' +import Modal from '@/app/components/base/modal' +import Button from '@/app/components/base/button' +import type { Plugin } from '../types' +import type { UseMutationResult } from '@tanstack/react-query' + +type Props = { + plugin: Plugin + onCancel: () => void + mutation: Pick<UseMutationResult, 'isSuccess' | 'isPending'> + mutate: () => void + confirmButtonText: ReactNode + cancelButtonText: ReactNode + modelTitle: ReactNode + description: ReactNode + cardTitleLeft: ReactNode + modalBottomLeft?: ReactNode +} + +const PluginMutationModal: FC<Props> = ({ + plugin, + onCancel, + mutation, + confirmButtonText, + cancelButtonText, + modelTitle, + description, + cardTitleLeft, + mutate, + modalBottomLeft, +}: Props) => { + return ( + <Modal + isShow={true} + onClose={onCancel} + className='min-w-[560px]' + closable + title={modelTitle} + > + <div className='mt-3 mb-2 text-text-secondary system-md-regular'> + {description} + </div> + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'> + <Card + installed={mutation.isSuccess} + payload={plugin} + className='w-full' + titleLeft={cardTitleLeft} + /> + </div> + <div className='flex pt-5 items-center gap-2 self-stretch'> + <div> + {modalBottomLeft} + </div> + <div className='ml-auto flex gap-2'> + {!mutation.isPending && ( + <Button onClick={onCancel}> + {cancelButtonText} + </Button> + )} + <Button + variant='primary' + loading={mutation.isPending} + onClick={mutate} + disabled={mutation.isPending} + > + {confirmButtonText} + </Button> + </div> + </div> + </Modal> + ) +} + +PluginMutationModal.displayName = 'PluginMutationModal' + +export default memo(PluginMutationModal) diff --git a/web/app/components/plugins/plugin-page/context.tsx b/web/app/components/plugins/plugin-page/context.tsx new file mode 100644 index 00000000000000..6363bcae696c56 --- /dev/null +++ b/web/app/components/plugins/plugin-page/context.tsx @@ -0,0 +1,95 @@ +'use client' + +import type { ReactNode } from 'react' +import { + useMemo, + useRef, + useState, +} from 'react' +import { + createContext, + useContextSelector, +} from 'use-context-selector' +import { useSelector as useAppContextSelector } from '@/context/app-context' +import type { FilterState } from './filter-management' +import { useTranslation } from 'react-i18next' +import { useTabSearchParams } from '@/hooks/use-tab-searchparams' + +export type PluginPageContextValue = { + containerRef: React.RefObject<HTMLDivElement> + currentPluginID: string | undefined + setCurrentPluginID: (pluginID?: string) => void + filters: FilterState + setFilters: (filter: FilterState) => void + activeTab: string + setActiveTab: (tab: string) => void + options: Array<{ value: string, text: string }> +} + +export const PluginPageContext = createContext<PluginPageContextValue>({ + containerRef: { current: null }, + currentPluginID: undefined, + setCurrentPluginID: () => { }, + filters: { + categories: [], + tags: [], + searchQuery: '', + }, + setFilters: () => { }, + activeTab: '', + setActiveTab: () => { }, + options: [], +}) + +type PluginPageContextProviderProps = { + children: ReactNode +} + +export function usePluginPageContext(selector: (value: PluginPageContextValue) => any) { + return useContextSelector(PluginPageContext, selector) +} + +export const PluginPageContextProvider = ({ + children, +}: PluginPageContextProviderProps) => { + const { t } = useTranslation() + const containerRef = useRef<HTMLDivElement>(null) + const [filters, setFilters] = useState<FilterState>({ + categories: [], + tags: [], + searchQuery: '', + }) + const [currentPluginID, setCurrentPluginID] = useState<string | undefined>() + + const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures) + const options = useMemo(() => { + return [ + { value: 'plugins', text: t('common.menus.plugins') }, + ...( + enable_marketplace + ? [{ value: 'discover', text: t('common.menus.exploreMarketplace') }] + : [] + ), + ] + }, [t, enable_marketplace]) + const [activeTab, setActiveTab] = useTabSearchParams({ + defaultTab: options[0].value, + }) + + return ( + <PluginPageContext.Provider + value={{ + containerRef, + currentPluginID, + setCurrentPluginID, + filters, + setFilters, + activeTab, + setActiveTab, + options, + }} + > + {children} + </PluginPageContext.Provider> + ) +} diff --git a/web/app/components/plugins/plugin-page/debug-info.tsx b/web/app/components/plugins/plugin-page/debug-info.tsx new file mode 100644 index 00000000000000..4361c5b37bdc08 --- /dev/null +++ b/web/app/components/plugins/plugin-page/debug-info.tsx @@ -0,0 +1,63 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { + RiArrowRightUpLine, + RiBugLine, +} from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import KeyValueItem from '../base/key-value-item' +import Tooltip from '@/app/components/base/tooltip' +import Button from '@/app/components/base/button' +import { useDebugKey } from '@/service/use-plugins' + +const i18nPrefix = 'plugin.debugInfo' + +const DebugInfo: FC = () => { + const { t } = useTranslation() + const { data: info, isLoading } = useDebugKey() + + // info.key likes 4580bdb7-b878-471c-a8a4-bfd760263a53 mask the middle part using *. + const maskedKey = info?.key?.replace(/(.{8})(.*)(.{8})/, '$1********$3') + + if (isLoading) return null + + return ( + <Tooltip + triggerMethod='click' + disabled={!info} + popupContent={ + <> + <div className='flex items-center gap-1 self-stretch'> + <span className='flex flex-col justify-center items-start grow shrink-0 basis-0 text-text-secondary system-sm-semibold'>{t(`${i18nPrefix}.title`)}</span> + <a href='https://docs.dify.ai/plugins/quick-start/develop-plugins/debug-plugin' target='_blank' className='flex items-center gap-0.5 text-text-accent-light-mode-only cursor-pointer'> + <span className='system-xs-medium'>{t(`${i18nPrefix}.viewDocs`)}</span> + <RiArrowRightUpLine className='w-3 h-3' /> + </a> + </div> + <div className='space-y-0.5'> + <KeyValueItem + label={'URL'} + value={`${info?.host}:${info?.port}`} + /> + <KeyValueItem + label={'Key'} + value={info?.key || ''} + maskedValue={maskedKey} + /> + </div> + </> + } + popupClassName='flex flex-col items-start w-[256px] px-4 py-3.5 gap-1 border border-components-panel-border + rounded-xl bg-components-tooltip-bg shadows-shadow-lg z-50' + asChild={false} + position='bottom' + > + <Button className='w-full h-full p-2 text-components-button-secondary-text'> + <RiBugLine className='w-4 h-4' /> + </Button> + </Tooltip> + ) +} + +export default React.memo(DebugInfo) diff --git a/web/app/components/plugins/plugin-page/empty/index.tsx b/web/app/components/plugins/plugin-page/empty/index.tsx new file mode 100644 index 00000000000000..3263f6a0c365d1 --- /dev/null +++ b/web/app/components/plugins/plugin-page/empty/index.tsx @@ -0,0 +1,120 @@ +import React, { useMemo, useRef, useState } from 'react' +import { MagicBox } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices' +import { FileZip } from '@/app/components/base/icons/src/vender/solid/files' +import { Github } from '@/app/components/base/icons/src/vender/solid/general' +import InstallFromGitHub from '@/app/components/plugins/install-plugin/install-from-github' +import InstallFromLocalPackage from '@/app/components/plugins/install-plugin/install-from-local-package' +import { usePluginPageContext } from '../context' +import { Group } from '@/app/components/base/icons/src/vender/other' +import { useSelector as useAppContextSelector } from '@/context/app-context' +import Line from '../../marketplace/empty/line' +import { useInstalledPluginList } from '@/service/use-plugins' +import { useTranslation } from 'react-i18next' +import { SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS } from '@/config' + +const Empty = () => { + const { t } = useTranslation() + const fileInputRef = useRef<HTMLInputElement>(null) + const [selectedAction, setSelectedAction] = useState<string | null>(null) + const [selectedFile, setSelectedFile] = useState<File | null>(null) + const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures) + const setActiveTab = usePluginPageContext(v => v.setActiveTab) + + const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => { + const file = event.target.files?.[0] + if (file) { + setSelectedFile(file) + setSelectedAction('local') + } + } + const filters = usePluginPageContext(v => v.filters) + const { data: pluginList } = useInstalledPluginList() + + const text = useMemo(() => { + if (pluginList?.plugins.length === 0) + return t('plugin.list.noInstalled') + if (filters.categories.length > 0 || filters.tags.length > 0 || filters.searchQuery) + return t('plugin.list.notFound') + }, [pluginList?.plugins.length, t, filters.categories.length, filters.tags.length, filters.searchQuery]) + + return ( + <div className='grow w-full relative z-0'> + {/* skeleton */} + <div className='h-full w-full px-12 absolute top-0 grid grid-cols-2 gap-2 overflow-hidden z-10'> + {Array.from({ length: 20 }).fill(0).map((_, i) => ( + <div key={i} className='h-[100px] bg-components-card-bg rounded-xl' /> + ))} + </div> + {/* mask */} + <div className='h-full w-full absolute z-20 bg-gradient-to-b from-background-gradient-mask-transparent to-white' /> + <div className='flex items-center justify-center h-full relative z-30'> + <div className='flex flex-col items-center gap-y-3'> + <div className='relative -z-10 flex items-center justify-center w-[52px] h-[52px] rounded-xl + bg-components-card-bg border-[1px] border-dashed border-divider-deep shadow-xl shadow-shadow-shadow-5'> + <Group className='text-text-tertiary w-5 h-5' /> + <Line className='absolute -right-[1px] top-1/2 -translate-y-1/2' /> + <Line className='absolute -left-[1px] top-1/2 -translate-y-1/2' /> + <Line className='absolute top-0 left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' /> + <Line className='absolute top-full left-1/2 -translate-x-1/2 -translate-y-1/2 rotate-90' /> + </div> + <div className='text-text-tertiary text-sm font-normal'> + {text} + </div> + <div className='flex flex-col w-[240px]'> + <input + type='file' + ref={fileInputRef} + style={{ display: 'none' }} + onChange={handleFileChange} + accept={SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS} + /> + <div className='w-full flex flex-col gap-y-1'> + {[ + ...( + (enable_marketplace || true) + ? [{ icon: MagicBox, text: t('plugin.list.source.marketplace'), action: 'marketplace' }] + : [] + ), + { icon: Github, text: t('plugin.list.source.github'), action: 'github' }, + { icon: FileZip, text: t('plugin.list.source.local'), action: 'local' }, + ].map(({ icon: Icon, text, action }) => ( + <div + key={action} + className='flex items-center px-3 py-2 gap-x-1 rounded-lg bg-components-button-secondary-bg + hover:bg-state-base-hover cursor-pointer border-[0.5px] shadow-shadow-shadow-3 shadow-xs' + onClick={() => { + if (action === 'local') + fileInputRef.current?.click() + else if (action === 'marketplace') + setActiveTab('discover') + else + setSelectedAction(action) + }} + > + <Icon className="w-4 h-4 text-text-tertiary" /> + <span className='text-text-secondary system-md-regular'>{text}</span> + </div> + ))} + </div> + </div> + </div> + {selectedAction === 'github' && <InstallFromGitHub + onSuccess={() => { }} + onClose={() => setSelectedAction(null)} + />} + {selectedAction === 'local' && selectedFile + && (<InstallFromLocalPackage + file={selectedFile} + onClose={() => setSelectedAction(null)} + onSuccess={() => { }} + /> + ) + } + </div> + </div> + ) +} + +Empty.displayName = 'Empty' + +export default React.memo(Empty) diff --git a/web/app/components/plugins/plugin-page/filter-management/category-filter.tsx b/web/app/components/plugins/plugin-page/filter-management/category-filter.tsx new file mode 100644 index 00000000000000..7c3417eec3e240 --- /dev/null +++ b/web/app/components/plugins/plugin-page/filter-management/category-filter.tsx @@ -0,0 +1,127 @@ +'use client' + +import { useState } from 'react' +import { + RiArrowDownSLine, + RiCloseCircleFill, +} from '@remixicon/react' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import Checkbox from '@/app/components/base/checkbox' +import cn from '@/utils/classnames' +import Input from '@/app/components/base/input' +import { useCategories } from '../../hooks' +import { useTranslation } from 'react-i18next' + +type CategoriesFilterProps = { + value: string[] + onChange: (categories: string[]) => void +} +const CategoriesFilter = ({ + value, + onChange, +}: CategoriesFilterProps) => { + const { t } = useTranslation() + const [open, setOpen] = useState(false) + const [searchText, setSearchText] = useState('') + const { categories: options, categoriesMap } = useCategories() + const filteredOptions = options.filter(option => option.name.toLowerCase().includes(searchText.toLowerCase())) + const handleCheck = (id: string) => { + if (value.includes(id)) + onChange(value.filter(tag => tag !== id)) + else + onChange([...value, id]) + } + const selectedTagsLength = value.length + + return ( + <PortalToFollowElem + placement='bottom-start' + offset={{ + mainAxis: 4, + }} + open={open} + onOpenChange={setOpen} + > + <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}> + <div className={cn( + 'flex items-center px-2 py-1 h-8 text-text-tertiary rounded-lg bg-components-input-bg-normal hover:bg-state-base-hover-alt cursor-pointer', + selectedTagsLength && 'text-text-secondary', + open && 'bg-state-base-hover', + )}> + <div className={cn( + 'flex items-center p-1 system-sm-medium', + )}> + { + !selectedTagsLength && t('plugin.allCategories') + } + { + !!selectedTagsLength && value.map(val => categoriesMap[val].label).slice(0, 2).join(',') + } + { + selectedTagsLength > 2 && ( + <div className='ml-1 system-xs-medium text-text-tertiary'> + +{selectedTagsLength - 2} + </div> + ) + } + </div> + { + !!selectedTagsLength && ( + <RiCloseCircleFill + className='w-4 h-4 text-text-quaternary cursor-pointer' + onClick={ + (e) => { + e.stopPropagation() + onChange([]) + } + } + /> + ) + } + { + !selectedTagsLength && ( + <RiArrowDownSLine className='w-4 h-4' /> + ) + } + </div> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-10'> + <div className='w-[240px] border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-xl shadow-lg'> + <div className='p-2 pb-1'> + <Input + showLeftIcon + value={searchText} + onChange={e => setSearchText(e.target.value)} + placeholder={t('plugin.searchCategories')} + /> + </div> + <div className='p-1 max-h-[448px] overflow-y-auto'> + { + filteredOptions.map(option => ( + <div + key={option.name} + className='flex items-center px-2 py-1.5 h-7 rounded-lg cursor-pointer hover:bg-state-base-hover' + onClick={() => handleCheck(option.name)} + > + <Checkbox + className='mr-1' + checked={value.includes(option.name)} + /> + <div className='px-1 system-sm-medium text-text-secondary'> + {option.label} + </div> + </div> + )) + } + </div> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default CategoriesFilter diff --git a/web/app/components/plugins/plugin-page/filter-management/constant.ts b/web/app/components/plugins/plugin-page/filter-management/constant.ts new file mode 100644 index 00000000000000..80f786230c4758 --- /dev/null +++ b/web/app/components/plugins/plugin-page/filter-management/constant.ts @@ -0,0 +1,11 @@ +export type Tag = { + id: string + name: string + type: string + binding_count: number +} + +export type Category = { + name: 'model' | 'tool' | 'extension' | 'bundle' + binding_count: number +} diff --git a/web/app/components/plugins/plugin-page/filter-management/index.tsx b/web/app/components/plugins/plugin-page/filter-management/index.tsx new file mode 100644 index 00000000000000..c7a0bc7cd97ff3 --- /dev/null +++ b/web/app/components/plugins/plugin-page/filter-management/index.tsx @@ -0,0 +1,45 @@ +import React, { useState } from 'react' +import CategoriesFilter from './category-filter' +import TagFilter from './tag-filter' +import SearchBox from './search-box' +import { usePluginPageContext } from '../context' + +export type FilterState = { + categories: string[] + tags: string[] + searchQuery: string +} + +type FilterManagementProps = { + onFilterChange: (filters: FilterState) => void +} + +const FilterManagement: React.FC<FilterManagementProps> = ({ onFilterChange }) => { + const initFilters = usePluginPageContext(v => v.filters) as FilterState + const [filters, setFilters] = useState<FilterState>(initFilters) + + const updateFilters = (newFilters: Partial<FilterState>) => { + const updatedFilters = { ...filters, ...newFilters } + setFilters(updatedFilters) + onFilterChange(updatedFilters) + } + + return ( + <div className='flex items-center gap-2 self-stretch'> + <CategoriesFilter + value={filters.categories} + onChange={categories => updateFilters({ categories })} + /> + <TagFilter + value={filters.tags} + onChange={tags => updateFilters({ tags })} + /> + <SearchBox + searchQuery={filters.searchQuery} + onChange={searchQuery => updateFilters({ searchQuery })} + /> + </div> + ) +} + +export default FilterManagement diff --git a/web/app/components/plugins/plugin-page/filter-management/search-box.tsx b/web/app/components/plugins/plugin-page/filter-management/search-box.tsx new file mode 100644 index 00000000000000..ad3547e89b5e53 --- /dev/null +++ b/web/app/components/plugins/plugin-page/filter-management/search-box.tsx @@ -0,0 +1,30 @@ +'use client' + +import Input from '@/app/components/base/input' +import { useTranslation } from 'react-i18next' +type SearchBoxProps = { + searchQuery: string + onChange: (query: string) => void +} + +const SearchBox: React.FC<SearchBoxProps> = ({ + searchQuery, + onChange, +}) => { + const { t } = useTranslation() + + return ( + <Input + wrapperClassName='flex w-[200px] items-center rounded-lg' + className='bg-components-input-bg-normal' + showLeftIcon + value={searchQuery} + placeholder={t('plugin.search')} + onChange={(e) => { + onChange(e.target.value) + }} + /> + ) +} + +export default SearchBox diff --git a/web/app/components/plugins/plugin-page/filter-management/store.ts b/web/app/components/plugins/plugin-page/filter-management/store.ts new file mode 100644 index 00000000000000..4b55bf26817a6c --- /dev/null +++ b/web/app/components/plugins/plugin-page/filter-management/store.ts @@ -0,0 +1,27 @@ +import { create } from 'zustand' +import type { Category, Tag } from './constant' + +type State = { + tagList: Tag[] + categoryList: Category[] + showTagManagementModal: boolean + showCategoryManagementModal: boolean +} + +type Action = { + setTagList: (tagList?: Tag[]) => void + setCategoryList: (categoryList?: Category[]) => void + setShowTagManagementModal: (showTagManagementModal: boolean) => void + setShowCategoryManagementModal: (showCategoryManagementModal: boolean) => void +} + +export const useStore = create<State & Action>(set => ({ + tagList: [], + categoryList: [], + setTagList: tagList => set(() => ({ tagList })), + setCategoryList: categoryList => set(() => ({ categoryList })), + showTagManagementModal: false, + showCategoryManagementModal: false, + setShowTagManagementModal: showTagManagementModal => set(() => ({ showTagManagementModal })), + setShowCategoryManagementModal: showCategoryManagementModal => set(() => ({ showCategoryManagementModal })), +})) diff --git a/web/app/components/plugins/plugin-page/filter-management/tag-filter.tsx b/web/app/components/plugins/plugin-page/filter-management/tag-filter.tsx new file mode 100644 index 00000000000000..dd1781d9f4b43c --- /dev/null +++ b/web/app/components/plugins/plugin-page/filter-management/tag-filter.tsx @@ -0,0 +1,122 @@ +'use client' + +import { useState } from 'react' +import { + RiArrowDownSLine, + RiCloseCircleFill, +} from '@remixicon/react' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import Checkbox from '@/app/components/base/checkbox' +import cn from '@/utils/classnames' +import Input from '@/app/components/base/input' +import { useTags } from '../../hooks' +import { useTranslation } from 'react-i18next' + +type TagsFilterProps = { + value: string[] + onChange: (tags: string[]) => void +} +const TagsFilter = ({ + value, + onChange, +}: TagsFilterProps) => { + const { t } = useTranslation() + const [open, setOpen] = useState(false) + const [searchText, setSearchText] = useState('') + const { tags: options, tagsMap } = useTags() + const filteredOptions = options.filter(option => option.name.toLowerCase().includes(searchText.toLowerCase())) + const handleCheck = (id: string) => { + if (value.includes(id)) + onChange(value.filter(tag => tag !== id)) + else + onChange([...value, id]) + } + const selectedTagsLength = value.length + + return ( + <PortalToFollowElem + placement='bottom-start' + offset={{ + mainAxis: 4, + }} + open={open} + onOpenChange={setOpen} + > + <PortalToFollowElemTrigger onClick={() => setOpen(v => !v)}> + <div className={cn( + 'flex items-center px-2 py-1 h-8 text-text-tertiary rounded-lg bg-components-input-bg-normal hover:bg-state-base-hover-alt cursor-pointer', + selectedTagsLength && 'text-text-secondary', + open && 'bg-state-base-hover', + )}> + <div className={cn( + 'flex items-center p-1 system-sm-medium', + )}> + { + !selectedTagsLength && t('pluginTags.allTags') + } + { + !!selectedTagsLength && value.map(val => tagsMap[val].label).slice(0, 2).join(',') + } + { + selectedTagsLength > 2 && ( + <div className='ml-1 system-xs-medium text-text-tertiary'> + +{selectedTagsLength - 2} + </div> + ) + } + </div> + { + !!selectedTagsLength && ( + <RiCloseCircleFill + className='w-4 h-4 text-text-quaternary cursor-pointer' + onClick={() => onChange([])} + /> + ) + } + { + !selectedTagsLength && ( + <RiArrowDownSLine className='w-4 h-4' /> + ) + } + </div> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-10'> + <div className='w-[240px] border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-xl shadow-lg'> + <div className='p-2 pb-1'> + <Input + showLeftIcon + value={searchText} + onChange={e => setSearchText(e.target.value)} + placeholder={t('pluginTags.searchTags')} + /> + </div> + <div className='p-1 max-h-[448px] overflow-y-auto'> + { + filteredOptions.map(option => ( + <div + key={option.name} + className='flex items-center px-2 py-1.5 h-7 rounded-lg cursor-pointer hover:bg-state-base-hover' + onClick={() => handleCheck(option.name)} + > + <Checkbox + className='mr-1' + checked={value.includes(option.name)} + /> + <div className='px-1 system-sm-medium text-text-secondary'> + {option.label} + </div> + </div> + )) + } + </div> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default TagsFilter diff --git a/web/app/components/plugins/plugin-page/index.tsx b/web/app/components/plugins/plugin-page/index.tsx new file mode 100644 index 00000000000000..7eea8fea0f5c3d --- /dev/null +++ b/web/app/components/plugins/plugin-page/index.tsx @@ -0,0 +1,276 @@ +'use client' + +import { useEffect, useMemo, useState } from 'react' +import { useTranslation } from 'react-i18next' +import Link from 'next/link' +import { + RiBookOpenLine, + RiDragDropLine, + RiEqualizer2Line, +} from '@remixicon/react' +import { useBoolean } from 'ahooks' +import InstallFromLocalPackage from '../install-plugin/install-from-local-package' +import { + PluginPageContextProvider, + usePluginPageContext, +} from './context' +import InstallPluginDropdown from './install-plugin-dropdown' +import { useUploader } from './use-uploader' +import usePermission from './use-permission' +import DebugInfo from './debug-info' +import PluginTasks from './plugin-tasks' +import Button from '@/app/components/base/button' +import TabSlider from '@/app/components/base/tab-slider' +import Tooltip from '@/app/components/base/tooltip' +import cn from '@/utils/classnames' +import PermissionSetModal from '@/app/components/plugins/permission-setting-modal/modal' +import { useSelector as useAppContextSelector } from '@/context/app-context' +import InstallFromMarketplace from '../install-plugin/install-from-marketplace' +import { + useRouter, + useSearchParams, +} from 'next/navigation' +import type { Dependency } from '../types' +import type { PluginDeclaration, PluginManifestInMarket } from '../types' +import { sleep } from '@/utils' +import { fetchBundleInfoFromMarketPlace, fetchManifestFromMarketPlace } from '@/service/plugins' +import { marketplaceApiPrefix } from '@/config' +import { SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS } from '@/config' + +const PACKAGE_IDS_KEY = 'package-ids' +const BUNDLE_INFO_KEY = 'bundle-info' + +export type PluginPageProps = { + plugins: React.ReactNode + marketplace: React.ReactNode +} +const PluginPage = ({ + plugins, + marketplace, +}: PluginPageProps) => { + const { t } = useTranslation() + const searchParams = useSearchParams() + const { replace } = useRouter() + + // just support install one package now + const packageId = useMemo(() => { + const idStrings = searchParams.get(PACKAGE_IDS_KEY) + try { + return idStrings ? JSON.parse(idStrings)[0] : '' + } + catch (e) { + return '' + } + }, [searchParams]) + + const [dependencies, setDependencies] = useState<Dependency[]>([]) + const bundleInfo = useMemo(() => { + const info = searchParams.get(BUNDLE_INFO_KEY) + try { + return info ? JSON.parse(info) : undefined + } + catch (e) { + return undefined + } + }, [searchParams]) + + const [isShowInstallFromMarketplace, { + setTrue: showInstallFromMarketplace, + setFalse: doHideInstallFromMarketplace, + }] = useBoolean(false) + + const hideInstallFromMarketplace = () => { + doHideInstallFromMarketplace() + const url = new URL(window.location.href) + url.searchParams.delete(PACKAGE_IDS_KEY) + url.searchParams.delete(BUNDLE_INFO_KEY) + replace(url.toString()) + } + const [manifest, setManifest] = useState<PluginDeclaration | PluginManifestInMarket | null>(null) + + useEffect(() => { + (async () => { + await sleep(100) + if (packageId) { + const { data } = await fetchManifestFromMarketPlace(encodeURIComponent(packageId)) + const { plugin, version } = data + setManifest({ + ...plugin, + version: version.version, + icon: `${marketplaceApiPrefix}/plugins/${plugin.org}/${plugin.name}/icon`, + }) + showInstallFromMarketplace() + return + } + if (bundleInfo) { + const { data } = await fetchBundleInfoFromMarketPlace(bundleInfo) + setDependencies(data.version.dependencies) + showInstallFromMarketplace() + } + })() + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [packageId, bundleInfo]) + + const { + canManagement, + canDebugger, + canSetPermissions, + permissions, + setPermissions, + } = usePermission() + const [showPluginSettingModal, { + setTrue: setShowPluginSettingModal, + setFalse: setHidePluginSettingModal, + }] = useBoolean() + const [currentFile, setCurrentFile] = useState<File | null>(null) + const containerRef = usePluginPageContext(v => v.containerRef) + const options = usePluginPageContext(v => v.options) + const activeTab = usePluginPageContext(v => v.activeTab) + const setActiveTab = usePluginPageContext(v => v.setActiveTab) + const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures) + + const uploaderProps = useUploader({ + onFileChange: setCurrentFile, + containerRef, + enabled: activeTab === 'plugins', + }) + + const { dragging, fileUploader, fileChangeHandle, removeFile } = uploaderProps + + return ( + <div + id='marketplace-container' + ref={containerRef} + className={cn('grow relative flex flex-col overflow-y-auto border-t border-divider-subtle', activeTab === 'plugins' + ? 'rounded-t-xl bg-components-panel-bg' + : 'bg-background-body', + )} + > + <div + className={cn( + 'sticky top-0 flex min-h-[60px] px-12 pt-4 pb-2 items-center self-stretch gap-1 z-10 bg-components-panel-bg', activeTab === 'discover' && 'bg-background-body', + )} + > + <div className='flex justify-between items-center w-full'> + <div className='flex-1'> + <TabSlider + value={activeTab} + onChange={setActiveTab} + options={options} + /> + </div> + <div className='flex shrink-0 items-center gap-1'> + { + activeTab === 'discover' && ( + <> + <Link + href='https://docs.dify.ai/plugins/publish-plugins/publish-to-dify-marketplace' + target='_blank' + > + <Button + className='px-3' + variant='secondary-accent' + > + <RiBookOpenLine className='mr-1 w-4 h-4' /> + {t('plugin.submitPlugin')} + </Button> + </Link> + <div className='mx-2 w-[1px] h-3.5 bg-divider-regular'></div> + </> + ) + } + <PluginTasks /> + {canManagement && ( + <InstallPluginDropdown + onSwitchToMarketplaceTab={() => setActiveTab('discover')} + /> + )} + { + canDebugger && ( + <DebugInfo /> + ) + } + { + canSetPermissions && ( + <Tooltip + popupContent={t('plugin.privilege.title')} + > + <Button + className='w-full h-full p-2 text-components-button-secondary-text group' + onClick={setShowPluginSettingModal} + > + <RiEqualizer2Line className='w-4 h-4' /> + </Button> + </Tooltip> + ) + } + </div> + </div> + </div> + {activeTab === 'plugins' && ( + <> + {plugins} + {dragging && ( + <div + className="absolute inset-0 m-0.5 p-2 rounded-2xl bg-[rgba(21,90,239,0.14)] border-2 + border-dashed border-components-dropzone-border-accent"> + </div> + )} + <div className={`flex py-4 justify-center items-center gap-2 ${dragging ? 'text-text-accent' : 'text-text-quaternary'}`}> + <RiDragDropLine className="w-4 h-4" /> + <span className="system-xs-regular">{t('plugin.installModal.dropPluginToInstall')}</span> + </div> + {currentFile && ( + <InstallFromLocalPackage + file={currentFile} + onClose={removeFile ?? (() => { })} + onSuccess={() => { }} + /> + )} + <input + ref={fileUploader} + className="hidden" + type="file" + id="fileUploader" + accept={SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS} + onChange={fileChangeHandle ?? (() => { })} + /> + </> + )} + { + activeTab === 'discover' && enable_marketplace && marketplace + } + + {showPluginSettingModal && ( + <PermissionSetModal + payload={permissions!} + onHide={setHidePluginSettingModal} + onSave={setPermissions} + /> + )} + + { + isShowInstallFromMarketplace && ( + <InstallFromMarketplace + manifest={manifest! as PluginManifestInMarket} + uniqueIdentifier={packageId} + isBundle={!!bundleInfo} + dependencies={dependencies} + onClose={hideInstallFromMarketplace} + onSuccess={hideInstallFromMarketplace} + /> + ) + } + </div> + ) +} + +const PluginPageWithContext = (props: PluginPageProps) => { + return ( + <PluginPageContextProvider> + <PluginPage {...props} /> + </PluginPageContextProvider> + ) +} + +export default PluginPageWithContext diff --git a/web/app/components/plugins/plugin-page/install-plugin-dropdown.tsx b/web/app/components/plugins/plugin-page/install-plugin-dropdown.tsx new file mode 100644 index 00000000000000..4c2d543e14d2ed --- /dev/null +++ b/web/app/components/plugins/plugin-page/install-plugin-dropdown.tsx @@ -0,0 +1,139 @@ +'use client' + +import { useRef, useState } from 'react' +import { RiAddLine, RiArrowDownSLine } from '@remixicon/react' +import Button from '@/app/components/base/button' +import { MagicBox } from '@/app/components/base/icons/src/vender/solid/mediaAndDevices' +import { FileZip } from '@/app/components/base/icons/src/vender/solid/files' +import { Github } from '@/app/components/base/icons/src/vender/solid/general' +import InstallFromGitHub from '@/app/components/plugins/install-plugin/install-from-github' +import InstallFromLocalPackage from '@/app/components/plugins/install-plugin/install-from-local-package' +import cn from '@/utils/classnames' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import { useSelector as useAppContextSelector } from '@/context/app-context' +import { useTranslation } from 'react-i18next' +import { SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS } from '@/config' + +type Props = { + onSwitchToMarketplaceTab: () => void +} +const InstallPluginDropdown = ({ + onSwitchToMarketplaceTab, +}: Props) => { + const { t } = useTranslation() + const fileInputRef = useRef<HTMLInputElement>(null) + const [isMenuOpen, setIsMenuOpen] = useState(false) + const [selectedAction, setSelectedAction] = useState<string | null>(null) + const [selectedFile, setSelectedFile] = useState<File | null>(null) + const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures) + + const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => { + const file = event.target.files?.[0] + if (file) { + setSelectedFile(file) + setSelectedAction('local') + setIsMenuOpen(false) + } + } + + // TODO TEST INSTALL : uninstall + // const [pluginLists, setPluginLists] = useState<any>([]) + // useEffect(() => { + // (async () => { + // const list: any = await get('workspaces/current/plugin/list') + // })() + // }) + + // const handleUninstall = async (id: string) => { + // const res = await post('workspaces/current/plugin/uninstall', { body: { plugin_installation_id: id } }) + // console.log(res) + // } + + return ( + <PortalToFollowElem + open={isMenuOpen} + onOpenChange={setIsMenuOpen} + placement='bottom-start' + offset={4} + > + <div className="relative"> + <PortalToFollowElemTrigger onClick={() => setIsMenuOpen(v => !v)}> + <Button + className={cn('w-full h-full p-2 text-components-button-secondary-text', isMenuOpen && 'bg-state-base-hover')} + > + <RiAddLine className='w-4 h-4' /> + <span className='pl-1'>{t('plugin.installPlugin')}</span> + <RiArrowDownSLine className='w-4 h-4 ml-1' /> + </Button> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-[1002]'> + <div className='flex flex-col p-1 pb-2 items-start w-[200px] bg-components-panel-bg-blur border border-components-panel-border rounded-xl shadows-shadow-lg'> + <span className='flex pt-1 pb-0.5 pl-2 pr-3 items-start self-stretch text-text-tertiary system-xs-medium-uppercase'> + {t('plugin.installFrom')} + </span> + <input + type='file' + ref={fileInputRef} + style={{ display: 'none' }} + onChange={handleFileChange} + accept={SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS} + /> + <div className='w-full'> + {[ + ...( + (enable_marketplace || true) + ? [{ icon: MagicBox, text: t('plugin.source.marketplace'), action: 'marketplace' }] + : [] + ), + { icon: Github, text: t('plugin.source.github'), action: 'github' }, + { icon: FileZip, text: t('plugin.source.local'), action: 'local' }, + ].map(({ icon: Icon, text, action }) => ( + <div + key={action} + className='flex items-center w-full px-2 py-1.5 gap-1 rounded-lg hover:bg-state-base-hover !cursor-pointer' + onClick={() => { + if (action === 'local') { + fileInputRef.current?.click() + } + else if (action === 'marketplace') { + onSwitchToMarketplaceTab() + setIsMenuOpen(false) + } + else { + setSelectedAction(action) + setIsMenuOpen(false) + } + }} + > + <Icon className="w-4 h-4 text-text-tertiary" /> + <span className='px-1 text-text-secondary system-md-regular'>{text}</span> + </div> + ))} + </div> + </div> + </PortalToFollowElemContent> + </div> + {selectedAction === 'github' && <InstallFromGitHub + onSuccess={() => { }} + onClose={() => setSelectedAction(null)} + />} + {selectedAction === 'local' && selectedFile + && (<InstallFromLocalPackage + file={selectedFile} + onClose={() => setSelectedAction(null)} + onSuccess={() => { }} + /> + ) + } + {/* {pluginLists.map((item: any) => ( + <div key={item.id} onClick={() => handleUninstall(item.id)}>{item.name} 卸载</div> + ))} */} + </PortalToFollowElem> + ) +} + +export default InstallPluginDropdown diff --git a/web/app/components/plugins/plugin-page/list/index.tsx b/web/app/components/plugins/plugin-page/list/index.tsx new file mode 100644 index 00000000000000..9e9cf00c9f40f0 --- /dev/null +++ b/web/app/components/plugins/plugin-page/list/index.tsx @@ -0,0 +1,23 @@ +import type { FC } from 'react' +import PluginItem from '../../plugin-item' +import type { PluginDetail } from '../../types' + +type IPluginListProps = { + pluginList: PluginDetail[] +} + +const PluginList: FC<IPluginListProps> = ({ pluginList }) => { + return ( + <div className='pb-3'> + <div className='grid grid-cols-2 gap-3'> + {pluginList.map(plugin => ( + <PluginItem + key={plugin.plugin_id} + plugin={plugin} + /> + ))} + </div> + </div> + ) +} +export default PluginList diff --git a/web/app/components/plugins/plugin-page/plugin-info.tsx b/web/app/components/plugins/plugin-page/plugin-info.tsx new file mode 100644 index 00000000000000..abd297905ab128 --- /dev/null +++ b/web/app/components/plugins/plugin-page/plugin-info.tsx @@ -0,0 +1,41 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { useTranslation } from 'react-i18next' +import KeyValueItem from '../base/key-value-item' +import Modal from '../../base/modal' +import { convertRepoToUrl } from '../install-plugin/utils' + +const i18nPrefix = 'plugin.pluginInfoModal' +type Props = { + repository?: string + release?: string + packageName?: string + onHide: () => void +} + +const PlugInfo: FC<Props> = ({ + repository, + release, + packageName, + onHide, +}) => { + const { t } = useTranslation() + const labelWidthClassName = 'w-[96px]' + return ( + <Modal + title={t(`${i18nPrefix}.title`)} + className='w-[480px]' + isShow + onClose={onHide} + closable + > + <div className='mt-5 space-y-3'> + {repository && <KeyValueItem label={t(`${i18nPrefix}.repository`)} labelWidthClassName={labelWidthClassName} value={`${convertRepoToUrl(repository)}`} valueMaxWidthClassName='max-w-[190px]' />} + {release && <KeyValueItem label={t(`${i18nPrefix}.release`)} labelWidthClassName={labelWidthClassName} value={release} />} + {packageName && <KeyValueItem label={t(`${i18nPrefix}.packageName`)} labelWidthClassName={labelWidthClassName} value={packageName} />} + </div> + </Modal> + ) +} +export default React.memo(PlugInfo) diff --git a/web/app/components/plugins/plugin-page/plugin-tasks/hooks.ts b/web/app/components/plugins/plugin-page/plugin-tasks/hooks.ts new file mode 100644 index 00000000000000..f32a812c1330eb --- /dev/null +++ b/web/app/components/plugins/plugin-page/plugin-tasks/hooks.ts @@ -0,0 +1,100 @@ +import { + useCallback, + useEffect, + useRef, + useState, +} from 'react' +import { TaskStatus } from '@/app/components/plugins/types' +import type { PluginStatus } from '@/app/components/plugins/types' +import { + useMutationClearAllTaskPlugin, + useMutationClearTaskPlugin, + usePluginTaskList, +} from '@/service/use-plugins' + +export const usePluginTaskStatus = () => { + const { + pluginTasks, + handleRefetch, + } = usePluginTaskList() + const { mutateAsync } = useMutationClearTaskPlugin() + const { mutateAsync: mutateAsyncClearAll } = useMutationClearAllTaskPlugin() + const allPlugins = pluginTasks.filter(task => task.status !== TaskStatus.success).map(task => task.plugins.map((plugin) => { + return { + ...plugin, + taskId: task.id, + } + })).flat() + const errorPlugins: PluginStatus[] = [] + const successPlugins: PluginStatus[] = [] + const runningPlugins: PluginStatus[] = [] + + allPlugins.forEach((plugin) => { + if (plugin.status === TaskStatus.running) + runningPlugins.push(plugin) + if (plugin.status === TaskStatus.failed) + errorPlugins.push(plugin) + if (plugin.status === TaskStatus.success) + successPlugins.push(plugin) + }) + + const handleClearErrorPlugin = useCallback(async (taskId: string, pluginId: string) => { + await mutateAsync({ + taskId, + pluginId, + }) + handleRefetch() + }, [mutateAsync, handleRefetch]) + const handleClearAllErrorPlugin = useCallback(async () => { + await mutateAsyncClearAll() + handleRefetch() + }, [mutateAsyncClearAll, handleRefetch]) + const totalPluginsLength = allPlugins.length + const runningPluginsLength = runningPlugins.length + const errorPluginsLength = errorPlugins.length + const successPluginsLength = successPlugins.length + + const isInstalling = runningPluginsLength > 0 && errorPluginsLength === 0 && successPluginsLength === 0 + const isInstallingWithSuccess = runningPluginsLength > 0 && successPluginsLength > 0 && errorPluginsLength === 0 + const isInstallingWithError = runningPluginsLength > 0 && errorPluginsLength > 0 + const isSuccess = successPluginsLength === totalPluginsLength && totalPluginsLength > 0 + const isFailed = runningPluginsLength === 0 && (errorPluginsLength + successPluginsLength) === totalPluginsLength && totalPluginsLength > 0 && errorPluginsLength > 0 + + const [opacity, setOpacity] = useState(1) + const timerRef = useRef<NodeJS.Timeout | null>(null) + + useEffect(() => { + if (isSuccess) { + if (timerRef.current) { + clearTimeout(timerRef.current) + timerRef.current = null + } + if (opacity > 0) { + timerRef.current = setTimeout(() => { + setOpacity(v => v - 0.1) + }, 200) + } + } + + if (!isSuccess) + setOpacity(1) + }, [isSuccess, opacity]) + + return { + errorPlugins, + successPlugins, + runningPlugins, + runningPluginsLength, + errorPluginsLength, + successPluginsLength, + totalPluginsLength, + isInstalling, + isInstallingWithSuccess, + isInstallingWithError, + isSuccess, + isFailed, + handleClearErrorPlugin, + handleClearAllErrorPlugin, + opacity, + } +} diff --git a/web/app/components/plugins/plugin-page/plugin-tasks/index.tsx b/web/app/components/plugins/plugin-page/plugin-tasks/index.tsx new file mode 100644 index 00000000000000..997877e3a4c4ca --- /dev/null +++ b/web/app/components/plugins/plugin-page/plugin-tasks/index.tsx @@ -0,0 +1,194 @@ +import { + useMemo, + useState, +} from 'react' +import { + RiCheckboxCircleFill, + RiErrorWarningFill, + RiInstallLine, +} from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import { usePluginTaskStatus } from './hooks' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import Tooltip from '@/app/components/base/tooltip' +import Button from '@/app/components/base/button' +import ProgressCircle from '@/app/components/base/progress-bar/progress-circle' +import CardIcon from '@/app/components/plugins/card/base/card-icon' +import cn from '@/utils/classnames' +import { useGetLanguage } from '@/context/i18n' +import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon' +import DownloadingIcon from '@/app/components/header/plugins-nav/downloading-icon' + +const PluginTasks = () => { + const { t } = useTranslation() + const language = useGetLanguage() + const [open, setOpen] = useState(false) + const { + errorPlugins, + runningPluginsLength, + successPluginsLength, + errorPluginsLength, + totalPluginsLength, + isInstalling, + isInstallingWithSuccess, + isInstallingWithError, + isSuccess, + isFailed, + handleClearErrorPlugin, + handleClearAllErrorPlugin, + opacity, + } = usePluginTaskStatus() + const { getIconUrl } = useGetIcon() + + const tip = useMemo(() => { + if (isInstalling) + return t('plugin.task.installing', { installingLength: runningPluginsLength }) + + if (isInstallingWithSuccess) + return t('plugin.task.installingWithSuccess', { installingLength: runningPluginsLength, successLength: successPluginsLength }) + + if (isInstallingWithError) + return t('plugin.task.installingWithError', { installingLength: runningPluginsLength, successLength: successPluginsLength, errorLength: errorPluginsLength }) + + if (isFailed) + return t('plugin.task.installError', { errorLength: errorPluginsLength }) + }, [isInstalling, isInstallingWithSuccess, isInstallingWithError, isFailed, errorPluginsLength, runningPluginsLength, successPluginsLength, t]) + + if (!totalPluginsLength) + return null + + return ( + <div + className='flex items-center' + style={{ opacity }} + > + <PortalToFollowElem + open={open} + onOpenChange={setOpen} + placement='bottom-start' + offset={{ + mainAxis: 4, + crossAxis: 79, + }} + > + <PortalToFollowElemTrigger + onClick={() => { + if (isFailed) + setOpen(v => !v) + }} + > + <Tooltip popupContent={tip}> + <div + className={cn( + 'relative flex items-center justify-center w-8 h-8 rounded-lg border-[0.5px] border-components-button-secondary-border bg-components-button-secondary-bg shadow-xs hover:bg-components-button-secondary-bg-hover', + (isInstallingWithError || isFailed) && 'border-components-button-destructive-secondary-border-hover bg-state-destructive-hover hover:bg-state-destructive-hover-alt cursor-pointer', + )} + id="plugin-task-trigger" + > + { + (isInstalling || isInstallingWithError) && ( + <DownloadingIcon /> + ) + } + { + !(isInstalling || isInstallingWithError) && ( + <RiInstallLine + className={cn( + 'w-4 h-4 text-components-button-secondary-text', + (isInstallingWithError || isFailed) && 'text-components-button-destructive-secondary-text', + )} + /> + ) + } + <div className='absolute -right-1 -top-1'> + { + (isInstalling || isInstallingWithSuccess) && ( + <ProgressCircle + percentage={successPluginsLength / totalPluginsLength * 100} + circleFillColor='fill-components-progress-brand-bg' + /> + ) + } + { + isInstallingWithError && ( + <ProgressCircle + percentage={runningPluginsLength / totalPluginsLength * 100} + circleFillColor='fill-components-progress-brand-bg' + sectorFillColor='fill-components-progress-error-border' + circleStrokeColor='stroke-components-progress-error-border' + /> + ) + } + { + isSuccess && ( + <RiCheckboxCircleFill className='w-3.5 h-3.5 text-text-success' /> + ) + } + { + isFailed && ( + <RiErrorWarningFill className='w-3.5 h-3.5 text-text-destructive' /> + ) + } + </div> + </div> + </Tooltip> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-[11]'> + <div className='p-1 pb-2 w-[320px] rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-lg'> + <div className='sticky top-0 flex items-center justify-between px-2 pt-1 h-7 system-sm-semibold-uppercase'> + {t('plugin.task.installedError', { errorLength: errorPluginsLength })} + <Button + className='shrink-0' + size='small' + variant='ghost' + onClick={() => handleClearAllErrorPlugin()} + > + {t('plugin.task.clearAll')} + </Button> + </div> + <div className='max-h-[400px] overflow-y-auto'> + { + errorPlugins.map(errorPlugin => ( + <div + key={errorPlugin.plugin_unique_identifier} + className='flex p-2 rounded-lg hover:bg-state-base-hover' + > + <div className='relative flex items-center justify-center mr-2 w-6 h-6 rounded-md border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge'> + <RiErrorWarningFill className='absolute -right-0.5 -bottom-0.5 z-10 w-3 h-3 text-text-destructive' /> + <CardIcon + size='tiny' + src={getIconUrl(errorPlugin.icon)} + /> + </div> + <div className='grow'> + <div className='system-md-regular text-text-secondary truncate'> + {errorPlugin.labels[language]} + </div> + <div className='system-xs-regular text-text-destructive break-all'> + {errorPlugin.message} + </div> + </div> + <Button + className='shrink-0' + size='small' + variant='ghost' + onClick={() => handleClearErrorPlugin(errorPlugin.taskId, errorPlugin.plugin_unique_identifier)} + > + {t('common.operation.clear')} + </Button> + </div> + )) + } + </div> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + </div> + ) +} + +export default PluginTasks diff --git a/web/app/components/plugins/plugin-page/plugins-panel.tsx b/web/app/components/plugins/plugin-page/plugins-panel.tsx new file mode 100644 index 00000000000000..f1a5fba1b9570b --- /dev/null +++ b/web/app/components/plugins/plugin-page/plugins-panel.tsx @@ -0,0 +1,70 @@ +'use client' +import { useMemo } from 'react' +import type { FilterState } from './filter-management' +import FilterManagement from './filter-management' +import List from './list' +import { useInstalledPluginList, useInvalidateInstalledPluginList } from '@/service/use-plugins' +import PluginDetailPanel from '@/app/components/plugins/plugin-detail-panel' +import { usePluginPageContext } from './context' +import { useDebounceFn } from 'ahooks' +import Empty from './empty' +import Loading from '../../base/loading' + +const PluginsPanel = () => { + const filters = usePluginPageContext(v => v.filters) as FilterState + const setFilters = usePluginPageContext(v => v.setFilters) + const { data: pluginList, isLoading: isPluginListLoading } = useInstalledPluginList() + const invalidateInstalledPluginList = useInvalidateInstalledPluginList() + const currentPluginID = usePluginPageContext(v => v.currentPluginID) + const setCurrentPluginID = usePluginPageContext(v => v.setCurrentPluginID) + + const { run: handleFilterChange } = useDebounceFn((filters: FilterState) => { + setFilters(filters) + }, { wait: 500 }) + + const filteredList = useMemo(() => { + const { categories, searchQuery, tags } = filters + const filteredList = pluginList?.plugins.filter((plugin) => { + return ( + (categories.length === 0 || categories.includes(plugin.declaration.category)) + && (tags.length === 0 || tags.some(tag => plugin.declaration.tags.includes(tag))) + && (searchQuery === '' || plugin.plugin_id.toLowerCase().includes(searchQuery.toLowerCase())) + ) + }) + return filteredList + }, [pluginList, filters]) + + const currentPluginDetail = useMemo(() => { + const detail = pluginList?.plugins.find(plugin => plugin.plugin_id === currentPluginID) + return detail + }, [currentPluginID, pluginList?.plugins]) + + const handleHide = () => setCurrentPluginID(undefined) + + return ( + <> + <div className='flex flex-col pt-1 pb-3 px-12 justify-center items-start gap-3 self-stretch'> + <div className='h-px self-stretch bg-divider-subtle'></div> + <FilterManagement + onFilterChange={handleFilterChange} + /> + </div> + {isPluginListLoading ? <Loading type='app' /> : (filteredList?.length ?? 0) > 0 ? ( + <div className='flex px-12 items-start content-start gap-2 grow self-stretch flex-wrap'> + <div className='w-full'> + <List pluginList={filteredList || []} /> + </div> + </div> + ) : ( + <Empty /> + )} + <PluginDetailPanel + detail={currentPluginDetail} + onUpdate={() => invalidateInstalledPluginList()} + onHide={handleHide} + /> + </> + ) +} + +export default PluginsPanel diff --git a/web/app/components/plugins/plugin-page/use-permission.ts b/web/app/components/plugins/plugin-page/use-permission.ts new file mode 100644 index 00000000000000..c4fc01f2c3fbdf --- /dev/null +++ b/web/app/components/plugins/plugin-page/use-permission.ts @@ -0,0 +1,45 @@ +import { PermissionType } from '../types' +import { useAppContext } from '@/context/app-context' +import Toast from '../../base/toast' +import { useTranslation } from 'react-i18next' +import { useInvalidatePermissions, useMutationPermissions, usePermissions } from '@/service/use-plugins' + +const hasPermission = (permission: PermissionType | undefined, isAdmin: boolean) => { + if (!permission) + return false + if (permission === PermissionType.noOne) + return false + + if (permission === PermissionType.everyone) + return true + + return isAdmin +} + +const usePermission = () => { + const { t } = useTranslation() + const { isCurrentWorkspaceManager, isCurrentWorkspaceOwner } = useAppContext() + const { data: permissions } = usePermissions() + const invalidatePermissions = useInvalidatePermissions() + const { mutate: updatePermission, isPending: isUpdatePending } = useMutationPermissions({ + onSuccess: () => { + invalidatePermissions() + Toast.notify({ + type: 'success', + message: t('common.api.actionSuccess'), + }) + }, + }) + const isAdmin = isCurrentWorkspaceManager || isCurrentWorkspaceOwner + + return { + canManagement: hasPermission(permissions?.install_permission, isAdmin), + canDebugger: hasPermission(permissions?.debug_permission, isAdmin), + canSetPermissions: isAdmin, + permissions, + setPermissions: updatePermission, + isUpdatePending, + } +} + +export default usePermission diff --git a/web/app/components/plugins/plugin-page/use-uploader.ts b/web/app/components/plugins/plugin-page/use-uploader.ts new file mode 100644 index 00000000000000..fb3974c4482dc6 --- /dev/null +++ b/web/app/components/plugins/plugin-page/use-uploader.ts @@ -0,0 +1,86 @@ +import { useEffect, useRef, useState } from 'react' + +type UploaderHookProps = { + onFileChange: (file: File | null) => void + containerRef: React.RefObject<HTMLDivElement> + enabled?: boolean +} + +export const useUploader = ({ onFileChange, containerRef, enabled = true }: UploaderHookProps) => { + const [dragging, setDragging] = useState(false) + const fileUploader = useRef<HTMLInputElement>(null) + + const handleDragEnter = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + if (e.dataTransfer?.types.includes('Files')) + setDragging(true) + } + + const handleDragOver = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + } + + const handleDragLeave = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + if (e.relatedTarget === null || !containerRef.current?.contains(e.relatedTarget as Node)) + setDragging(false) + } + + const handleDrop = (e: DragEvent) => { + e.preventDefault() + e.stopPropagation() + setDragging(false) + if (!e.dataTransfer) + return + const files = [...e.dataTransfer.files] + if (files.length > 0) + onFileChange(files[0]) + } + + const fileChangeHandle = enabled + ? (e: React.ChangeEvent<HTMLInputElement>) => { + const file = e.target.files?.[0] || null + onFileChange(file) + } + : null + + const removeFile = enabled + ? () => { + if (fileUploader.current) + fileUploader.current.value = '' + + onFileChange(null) + } + : null + + useEffect(() => { + if (!enabled) + return + + const current = containerRef.current + if (current) { + current.addEventListener('dragenter', handleDragEnter) + current.addEventListener('dragover', handleDragOver) + current.addEventListener('dragleave', handleDragLeave) + current.addEventListener('drop', handleDrop) + } + return () => { + if (current) { + current.removeEventListener('dragenter', handleDragEnter) + current.removeEventListener('dragover', handleDragOver) + current.removeEventListener('dragleave', handleDragLeave) + current.removeEventListener('drop', handleDrop) + } + } + }, [containerRef, enabled]) + + return { + dragging: enabled ? dragging : false, + fileUploader, + fileChangeHandle, + removeFile, + } +} diff --git a/web/app/components/plugins/provider-card.tsx b/web/app/components/plugins/provider-card.tsx new file mode 100644 index 00000000000000..ed9ad9769fca4b --- /dev/null +++ b/web/app/components/plugins/provider-card.tsx @@ -0,0 +1,97 @@ +'use client' +import React from 'react' +import type { FC } from 'react' +import { useTranslation } from 'react-i18next' +import { RiArrowRightUpLine } from '@remixicon/react' +import Badge from '../base/badge' +import type { Plugin } from './types' +import Description from './card/base/description' +import Icon from './card/base/card-icon' +import Title from './card/base/title' +import DownloadCount from './card/base/download-count' +import Button from '@/app/components/base/button' +import InstallFromMarketplace from '@/app/components/plugins/install-plugin/install-from-marketplace' +import cn from '@/utils/classnames' +import { useBoolean } from 'ahooks' +import { getPluginLinkInMarketplace } from '@/app/components/plugins/marketplace/utils' +import { useI18N } from '@/context/i18n' +import { useRenderI18nObject } from '@/hooks/use-i18n' + +type Props = { + className?: string + payload: Plugin +} + +const ProviderCard: FC<Props> = ({ + className, + payload, +}) => { + const getValueFromI18nObject = useRenderI18nObject() + const { t } = useTranslation() + const [isShowInstallFromMarketplace, { + setTrue: showInstallFromMarketplace, + setFalse: hideInstallFromMarketplace, + }] = useBoolean(false) + const { org, label } = payload + const { locale } = useI18N() + + return ( + <div className={cn('group relative p-4 pb-3 border-[0.5px] border-components-panel-border bg-components-panel-on-panel-item-bg hover:bg-components-panel-on-panel-item-bg rounded-xl shadow-xs', className)}> + {/* Header */} + <div className="flex"> + <Icon src={payload.icon} /> + <div className="ml-3 w-0 grow"> + <div className="flex items-center h-5"> + <Title title={getValueFromI18nObject(label)} /> + {/* <RiVerifiedBadgeLine className="shrink-0 ml-0.5 w-4 h-4 text-text-accent" /> */} + </div> + <div className='mb-1 flex justify-between items-center h-4'> + <div className='flex items-center'> + <div className='text-text-tertiary system-xs-regular'>{org}</div> + <div className='mx-2 text-text-quaternary system-xs-regular'>·</div> + <DownloadCount downloadCount={payload.install_count || 0} /> + </div> + </div> + </div> + </div> + <Description className='mt-3' text={getValueFromI18nObject(payload.brief)} descriptionLineRows={2}></Description> + <div className='mt-3 flex space-x-0.5'> + {payload.tags.map(tag => ( + <Badge key={tag.name} text={tag.name} /> + ))} + </div> + <div + className='hidden group-hover:flex items-center gap-2 absolute bottom-0 left-0 right-0 p-4 pt-8 rounded-xl bg-gradient-to-tr from-components-panel-on-panel-item-bg to-background-gradient-mask-transparent' + > + <Button + className='grow' + variant='primary' + onClick={showInstallFromMarketplace} + > + {t('plugin.detailPanel.operation.install')} + </Button> + <Button + className='grow' + variant='secondary' + > + <a href={`${getPluginLinkInMarketplace(payload)}?language=${locale}`} target='_blank' className='flex items-center gap-0.5'> + {t('plugin.detailPanel.operation.detail')} + <RiArrowRightUpLine className='w-4 h-4' /> + </a> + </Button> + </div> + { + isShowInstallFromMarketplace && ( + <InstallFromMarketplace + manifest={payload as any} + uniqueIdentifier={payload.latest_package_identifier} + onClose={hideInstallFromMarketplace} + onSuccess={() => hideInstallFromMarketplace()} + /> + ) + } + </div> + ) +} + +export default ProviderCard diff --git a/web/app/components/plugins/types.ts b/web/app/components/plugins/types.ts new file mode 100644 index 00000000000000..8fefa5cdfdc073 --- /dev/null +++ b/web/app/components/plugins/types.ts @@ -0,0 +1,439 @@ +import type { CredentialFormSchemaBase } from '../header/account-setting/model-provider-page/declarations' +import type { ToolCredential } from '@/app/components/tools/types' +import type { Locale } from '@/i18n' + +export enum PluginType { + tool = 'tool', + model = 'model', + extension = 'extension', + agent = 'agent-strategy', +} + +export enum PluginSource { + marketplace = 'marketplace', + github = 'github', + local = 'package', + debugging = 'remote', +} + +export type PluginToolDeclaration = { + identity: { + author: string + name: string + description: Record<Locale, string> + icon: string + label: Record<Locale, string> + tags: string[] + } + credentials_schema: ToolCredential[] // TODO +} + +export type PluginEndpointDeclaration = { + settings: ToolCredential[] + endpoints: EndpointItem[] +} + +export type EndpointItem = { + path: string + method: string +} + +export type EndpointListItem = { + id: string + created_at: string + updated_at: string + settings: Record<string, any> + tenant_id: string + plugin_id: string + expired_at: string + declaration: PluginEndpointDeclaration + name: string + enabled: boolean + url: string + hook_id: string +} + +// Plugin manifest +export type PluginDeclaration = { + plugin_unique_identifier: string + version: string + author: string + icon: string + name: string + category: PluginType + label: Record<Locale, string> + description: Record<Locale, string> + created_at: string + resource: any // useless in frontend + plugins: any // useless in frontend + verified: boolean + endpoint: PluginEndpointDeclaration + tool: PluginToolDeclaration + model: any + tags: string[] + agent_strategy: any +} + +export type PluginManifestInMarket = { + plugin_unique_identifier: string + name: string + org: string + icon: string + label: Record<Locale, string> + category: PluginType + version: string // combine the other place to it + latest_version: string + brief: Record<Locale, string> + introduction: string + verified: boolean + install_count: number +} + +export type PluginDetail = { + id: string + created_at: string + updated_at: string + name: string + plugin_id: string + plugin_unique_identifier: string + declaration: PluginDeclaration + installation_id: string + tenant_id: string + endpoints_setups: number + endpoints_active: number + version: string + latest_version: string + latest_unique_identifier: string + source: PluginSource + meta?: MetaData +} + +export type PluginInfoFromMarketPlace = { + category: PluginType + latest_package_identifier: string + latest_version: string +} + +export type Plugin = { + type: 'plugin' | 'bundle' | 'model' | 'extension' | 'tool' | 'agent_strategy' + org: string + author?: string + name: string + plugin_id: string + version: string + latest_version: string + latest_package_identifier: string + icon: string + verified: boolean + label: Record<Locale, string> + brief: Record<Locale, string> + description: Record<Locale, string> + // Repo readme.md content + introduction: string + repository: string + category: PluginType + install_count: number + endpoint: { + settings: CredentialFormSchemaBase[] + } + tags: { name: string }[] +} + +export enum PermissionType { + everyone = 'everyone', + admin = 'admins', + noOne = 'noone', +} + +export type Permissions = { + install_permission: PermissionType + debug_permission: PermissionType +} + +export type UpdateFromMarketPlacePayload = { + category: PluginType + originalPackageInfo: { + id: string + payload: PluginDeclaration + }, + targetPackageInfo: { + id: string + version: string + } +} + +export type UpdateFromGitHubPayload = { + originalPackageInfo: { + id: string + repo: string + version: string + package: string + releases: GitHubRepoReleaseResponse[] + } +} + +export type UpdatePluginPayload = { + type: PluginSource + category: PluginType + marketPlace?: UpdateFromMarketPlacePayload + github?: UpdateFromGitHubPayload +} + +export type UpdatePluginModalType = UpdatePluginPayload & { + onCancel: () => void + onSave: () => void +} + +export enum InstallStepFromGitHub { + setUrl = 'url', + selectPackage = 'selecting', + readyToInstall = 'readyToInstall', + uploadFailed = 'uploadFailed', + installed = 'installed', + installFailed = 'failed', +} + +export type InstallState = { + step: InstallStepFromGitHub + repoUrl: string + selectedVersion: string + selectedPackage: string + releases: GitHubRepoReleaseResponse[] +} + +export type GitHubUrlInfo = { + isValid: boolean + owner?: string + repo?: string +} + +// endpoint +export type EndpointOperationResponse = { + result: 'success' | 'error' +} + +export type EndpointsResponse = { + endpoints: EndpointListItem[] + has_more: boolean + limit: number + total: number + page: number +} +export type UpdateEndpointRequest = { + endpoint_id: string + settings: Record<string, any> + name: string +} + +export enum InstallStep { + uploading = 'uploading', + uploadFailed = 'uploadFailed', + readyToInstall = 'readyToInstall', + installing = 'installing', + installed = 'installed', + installFailed = 'failed', +} + +export type GitHubAsset = { + id: number + name: string + browser_download_url: string +} + +export type GitHubRepoReleaseResponse = { + tag_name: string + assets: GitHubAsset[] +} + +export type InstallPackageResponse = { + plugin_unique_identifier: string + all_installed: boolean + task_id: string +} + +export type InstallStatusResponse = { + success: boolean, + isFromMarketPlace?: boolean +} + +export type updatePackageResponse = { + all_installed: boolean + task_id: string +} + +export type uploadGitHubResponse = { + unique_identifier: string + manifest: PluginDeclaration +} + +export type DebugInfo = { + key: string + host: string + port: number +} + +export enum TaskStatus { + running = 'running', + success = 'success', + failed = 'failed', +} + +export type PluginStatus = { + plugin_unique_identifier: string + plugin_id: string + status: TaskStatus + message: string + icon: string + labels: Record<Locale, string> + taskId: string +} + +export type PluginTask = { + id: string + created_at: string + updated_at: string + status: string + total_plugins: number + completed_plugins: number + plugins: PluginStatus[] +} + +export type TaskStatusResponse = { + task: PluginTask +} + +export type PluginTasksResponse = { + tasks: PluginTask[] +} + +export type MetaData = { + repo: string + version: string + package: string +} + +export type InstalledPluginListResponse = { + plugins: PluginDetail[] +} + +export type UninstallPluginResponse = { + success: boolean +} + +export type PluginsFromMarketplaceResponse = { + plugins: Plugin[] + bundles?: Plugin[] + total: number +} +export type PluginsFromMarketplaceByInfoResponse = { + list: { + plugin: Plugin + version: { + plugin_name: string + plugin_org: string + unique_identifier: string + } + }[] +} + +export type GitHubItemAndMarketPlaceDependency = { + type: 'github' | 'marketplace' | 'package' + value: { + repo?: string + version?: string // from app DSL + package?: string // from app DSL + release?: string // from local package. same to the version + packages?: string // from local package. same to the package + github_plugin_unique_identifier?: string + marketplace_plugin_unique_identifier?: string + plugin_unique_identifier?: string + } +} + +export type PackageDependency = { + type: 'github' | 'marketplace' | 'package' + value: { + unique_identifier: string + manifest: PluginDeclaration + } +} + +export type Dependency = GitHubItemAndMarketPlaceDependency | PackageDependency + +export type Version = { + plugin_org: string + plugin_name: string + version: string + file_name: string + checksum: string + created_at: string + unique_identifier: string +} + +export type VersionListResponse = { + versions: Version[] +} + +export type VersionInfo = { + installedId: string, // use to uninstall + installedVersion: string, + uniqueIdentifier: string +} + +export type VersionProps = { + hasInstalled: boolean + installedVersion?: string + toInstallVersion: string +} + +export type StrategyParamItem = { + name: string + label: Record<Locale, string> + human_description: Record<Locale, string> + llm_description: string + placeholder: Record<Locale, string> + type: string + scope: string + required: boolean + default: any + options: any[] + template: { + enabled: boolean + }, + auto_generate: { + type: string + } +} + +export type StrategyDetail = { + identity: { + author: string + name: string + icon: string + label: Record<Locale, string> + provider: string + }, + parameters: StrategyParamItem[] + description: Record<Locale, string> + output_schema: Record<string, any> +} + +export type StrategyDeclaration = { + identity: { + author: string + name: string + description: Record<Locale, string> + icon: string + label: Record<Locale, string> + tags: string[] + }, + plugin_id: string + strategies: StrategyDetail[] +} + +export type StrategyPluginDetail = { + provider: string + plugin_unique_identifier: string + plugin_id: string + declaration: StrategyDeclaration +} diff --git a/web/app/components/plugins/update-plugin/from-github.tsx b/web/app/components/plugins/update-plugin/from-github.tsx new file mode 100644 index 00000000000000..9bc2f2ad3e0649 --- /dev/null +++ b/web/app/components/plugins/update-plugin/from-github.tsx @@ -0,0 +1,26 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { UpdateFromGitHubPayload } from '../types' +import InstallFromGitHub from '../install-plugin/install-from-github' + +type Props = { + payload: UpdateFromGitHubPayload + onSave: () => void + onCancel: () => void +} + +const FromGitHub: FC<Props> = ({ + payload, + onSave, + onCancel, +}) => { + return ( + <InstallFromGitHub + updatePayload={payload} + onClose={onCancel} + onSuccess={onSave} + /> + ) +} +export default React.memo(FromGitHub) diff --git a/web/app/components/plugins/update-plugin/from-market-place.tsx b/web/app/components/plugins/update-plugin/from-market-place.tsx new file mode 100644 index 00000000000000..916f61f4789581 --- /dev/null +++ b/web/app/components/plugins/update-plugin/from-market-place.tsx @@ -0,0 +1,164 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useEffect, useMemo, useState } from 'react' +import { RiInformation2Line } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import Card from '@/app/components/plugins/card' +import Modal from '@/app/components/base/modal' +import Button from '@/app/components/base/button' +import Badge, { BadgeState } from '@/app/components/base/badge/index' +import { TaskStatus, type UpdateFromMarketPlacePayload } from '../types' +import { pluginManifestToCardPluginProps } from '@/app/components/plugins/install-plugin/utils' +import useGetIcon from '../install-plugin/base/use-get-icon' +import { updateFromMarketPlace } from '@/service/plugins' +import checkTaskStatus from '@/app/components/plugins/install-plugin/base/check-task-status' +import { usePluginTaskList } from '@/service/use-plugins' +import Toast from '../../base/toast' + +const i18nPrefix = 'plugin.upgrade' + +type Props = { + payload: UpdateFromMarketPlacePayload + onSave: () => void + onCancel: () => void +} + +enum UploadStep { + notStarted = 'notStarted', + upgrading = 'upgrading', + installed = 'installed', +} + +const UpdatePluginModal: FC<Props> = ({ + payload, + onSave, + onCancel, +}) => { + const { + originalPackageInfo, + targetPackageInfo, + } = payload + const { t } = useTranslation() + const { getIconUrl } = useGetIcon() + const [icon, setIcon] = useState<string>(originalPackageInfo.payload.icon) + useEffect(() => { + (async () => { + const icon = await getIconUrl(originalPackageInfo.payload.icon) + setIcon(icon) + })() + }, [originalPackageInfo, getIconUrl]) + const { + check, + stop, + } = checkTaskStatus() + const handleCancel = () => { + stop() + onCancel() + } + + const [uploadStep, setUploadStep] = useState<UploadStep>(UploadStep.notStarted) + const { handleRefetch } = usePluginTaskList(payload.category) + + const configBtnText = useMemo(() => { + return ({ + [UploadStep.notStarted]: t(`${i18nPrefix}.upgrade`), + [UploadStep.upgrading]: t(`${i18nPrefix}.upgrading`), + [UploadStep.installed]: t(`${i18nPrefix}.close`), + })[uploadStep] + }, [t, uploadStep]) + + const handleConfirm = useCallback(async () => { + if (uploadStep === UploadStep.notStarted) { + setUploadStep(UploadStep.upgrading) + try { + const { + all_installed: isInstalled, + task_id: taskId, + } = await updateFromMarketPlace({ + original_plugin_unique_identifier: originalPackageInfo.id, + new_plugin_unique_identifier: targetPackageInfo.id, + }) + + if (isInstalled) { + onSave() + return + } + handleRefetch() + const { status, error } = await check({ + taskId, + pluginUniqueIdentifier: targetPackageInfo.id, + }) + if (status === TaskStatus.failed) { + Toast.notify({ type: 'error', message: error! }) + return + } + onSave() + } + // eslint-disable-next-line unused-imports/no-unused-vars + catch (e) { + setUploadStep(UploadStep.notStarted) + } + return + } + if (uploadStep === UploadStep.installed) + onSave() + }, [onSave, uploadStep, check, originalPackageInfo.id, handleRefetch, targetPackageInfo.id]) + const usedInAppInfo = useMemo(() => { + return ( + <div className='flex px-0.5 justify-center items-center gap-0.5'> + <div className='text-text-warning system-xs-medium'>{t(`${i18nPrefix}.usedInApps`, { num: 3 })}</div> + {/* show the used apps */} + <RiInformation2Line className='w-4 h-4 text-text-tertiary' /> + </div> + ) + }, [t]) + return ( + <Modal + isShow={true} + onClose={onCancel} + className='min-w-[560px]' + closable + title={t(`${i18nPrefix}.${uploadStep === UploadStep.installed ? 'successfulTitle' : 'title'}`)} + > + <div className='mt-3 mb-2 text-text-secondary system-md-regular'> + {t(`${i18nPrefix}.description`)} + </div> + <div className='flex p-2 items-start content-start gap-1 self-stretch flex-wrap rounded-2xl bg-background-section-burn'> + <Card + installed={uploadStep === UploadStep.installed} + payload={pluginManifestToCardPluginProps({ + ...originalPackageInfo.payload, + icon: icon!, + })} + className='w-full' + titleLeft={ + <> + <Badge className='mx-1' size="s" state={BadgeState.Warning}> + {`${originalPackageInfo.payload.version} -> ${targetPackageInfo.version}`} + </Badge> + {false && usedInAppInfo} + </> + } + /> + </div> + <div className='flex pt-5 justify-end items-center gap-2 self-stretch'> + {uploadStep === UploadStep.notStarted && ( + <Button + onClick={handleCancel} + > + {t('common.operation.cancel')} + </Button> + )} + <Button + variant='primary' + loading={uploadStep === UploadStep.upgrading} + onClick={handleConfirm} + disabled={uploadStep === UploadStep.upgrading} + > + {configBtnText} + </Button> + </div> + </Modal> + ) +} +export default React.memo(UpdatePluginModal) diff --git a/web/app/components/plugins/update-plugin/index.tsx b/web/app/components/plugins/update-plugin/index.tsx new file mode 100644 index 00000000000000..f9b49a607399e1 --- /dev/null +++ b/web/app/components/plugins/update-plugin/index.tsx @@ -0,0 +1,33 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { UpdatePluginModalType } from '../types' +import { PluginSource } from '../types' +import UpdateFromGitHub from './from-github' +import UpdateFromMarketplace from './from-market-place' + +const UpdatePlugin: FC<UpdatePluginModalType> = ({ + type, + marketPlace, + github, + onCancel, + onSave, +}) => { + if (type === PluginSource.github) { + return ( + <UpdateFromGitHub + payload={github!} + onSave={onSave} + onCancel={onCancel} + /> + ) + } + return ( + <UpdateFromMarketplace + payload={marketPlace!} + onSave={onSave} + onCancel={onCancel} + /> + ) +} +export default React.memo(UpdatePlugin) diff --git a/web/app/components/plugins/update-plugin/plugin-version-picker.tsx b/web/app/components/plugins/update-plugin/plugin-version-picker.tsx new file mode 100644 index 00000000000000..b05ddc006217b8 --- /dev/null +++ b/web/app/components/plugins/update-plugin/plugin-version-picker.tsx @@ -0,0 +1,118 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback } from 'react' +import { useTranslation } from 'react-i18next' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import Badge from '@/app/components/base/badge' +import type { + OffsetOptions, + Placement, +} from '@floating-ui/react' +import { useVersionListOfPlugin } from '@/service/use-plugins' +import useTimestamp from '@/hooks/use-timestamp' +import cn from '@/utils/classnames' + +type Props = { + disabled?: boolean + isShow: boolean + onShowChange: (isShow: boolean) => void + pluginID: string + currentVersion: string + trigger: React.ReactNode + placement?: Placement + offset?: OffsetOptions + onSelect: ({ + version, + unique_identifier, + }: { + version: string + unique_identifier: string + }) => void +} + +const PluginVersionPicker: FC<Props> = ({ + disabled = false, + isShow, + onShowChange, + pluginID, + currentVersion, + trigger, + placement = 'bottom-start', + offset = { + mainAxis: 4, + crossAxis: -16, + }, + onSelect, +}) => { + const { t } = useTranslation() + const format = t('appLog.dateTimeFormat').split(' ')[0] + const { formatDate } = useTimestamp() + + const handleTriggerClick = () => { + if (disabled) return + onShowChange(true) + } + + const { data: res } = useVersionListOfPlugin(pluginID) + + const handleSelect = useCallback(({ version, unique_identifier }: { + version: string + unique_identifier: string + }) => { + if (currentVersion === version) + return + onSelect({ version, unique_identifier }) + onShowChange(false) + }, [currentVersion, onSelect, onShowChange]) + + return ( + <PortalToFollowElem + placement={placement} + offset={offset} + open={isShow} + onOpenChange={onShowChange} + > + <PortalToFollowElemTrigger + className={cn('inline-flex items-center cursor-pointer', disabled && 'cursor-default')} + onClick={handleTriggerClick} + > + {trigger} + </PortalToFollowElemTrigger> + + <PortalToFollowElemContent className='z-[1000]'> + <div className="relative w-[209px] p-1 rounded-xl bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg"> + <div className='px-3 pt-1 pb-0.5 text-text-tertiary system-xs-medium-uppercase'> + {t('plugin.detailPanel.switchVersion')} + </div> + <div className='relative'> + {res?.data.versions.map(version => ( + <div + key={version.unique_identifier} + className={cn( + 'h-7 px-3 py-1 flex items-center gap-1 rounded-lg hover:bg-state-base-hover cursor-pointer', + currentVersion === version.version && 'opacity-30 cursor-default hover:bg-transparent', + )} + onClick={() => handleSelect({ + version: version.version, + unique_identifier: version.unique_identifier, + })} + > + <div className='grow flex items-center'> + <div className='text-text-secondary system-sm-medium'>{version.version}</div> + {currentVersion === version.version && <Badge className='ml-1' text='CURRENT'/>} + </div> + <div className='shrink-0 text-text-tertiary system-xs-regular'>{formatDate(version.created_at, format)}</div> + </div> + ))} + </div> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default React.memo(PluginVersionPicker) diff --git a/web/app/components/plugins/utils.ts b/web/app/components/plugins/utils.ts new file mode 100644 index 00000000000000..95f6d716d97d54 --- /dev/null +++ b/web/app/components/plugins/utils.ts @@ -0,0 +1,12 @@ +import { + categoryKeys, + tagKeys, +} from './constants' + +export const getValidTagKeys = (tags: string[]) => { + return tags.filter(tag => tagKeys.includes(tag)) +} + +export const getValidCategoryKeys = (category?: string) => { + return categoryKeys.find(key => key === category) +} diff --git a/web/app/components/share/text-generation/index.tsx b/web/app/components/share/text-generation/index.tsx index c54601aa7c4887..872e4414c1662e 100644 --- a/web/app/components/share/text-generation/index.tsx +++ b/web/app/components/share/text-generation/index.tsx @@ -137,9 +137,11 @@ const TextGeneration: FC<IMainProps> = ({ const handleSend = () => { setIsCallBatchAPI(false) setControlSend(Date.now()) - // eslint-disable-next-line @typescript-eslint/no-use-before-define + + // eslint-disable-next-line ts/no-use-before-define setAllTaskList([]) // clear batch task running status - // eslint-disable-next-line @typescript-eslint/no-use-before-define + + // eslint-disable-next-line ts/no-use-before-define showResSidebar() } @@ -319,7 +321,8 @@ const TextGeneration: FC<IMainProps> = ({ setControlSend(Date.now()) // clear run once task status setControlStopResponding(Date.now()) - // eslint-disable-next-line @typescript-eslint/no-use-before-define + + // eslint-disable-next-line ts/no-use-before-define showResSidebar() } const handleCompleted = (completionRes: string, taskId?: number, isSuccess?: boolean) => { diff --git a/web/app/components/share/text-generation/result/index.tsx b/web/app/components/share/text-generation/result/index.tsx index cd4ed5d2877a9a..6d5c63273a1cde 100644 --- a/web/app/components/share/text-generation/result/index.tsx +++ b/web/app/components/share/text-generation/result/index.tsx @@ -24,7 +24,7 @@ import { getFilesInLogs, } from '@/app/components/base/file-uploader/utils' -export type IResultProps = { +export interface IResultProps { isWorkflow: boolean isCallBatchAPI: boolean isPC: boolean diff --git a/web/app/components/swr-initor.tsx b/web/app/components/swr-initor.tsx index 2a119df9963d58..a2ae0031394874 100644 --- a/web/app/components/swr-initor.tsx +++ b/web/app/components/swr-initor.tsx @@ -6,7 +6,7 @@ import type { ReactNode } from 'react' import { usePathname, useRouter, useSearchParams } from 'next/navigation' import { fetchSetupStatus } from '@/service/common' -type SwrInitorProps = { +interface SwrInitorProps { children: ReactNode } const SwrInitor = ({ diff --git a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx index 4b24bcb9316707..4b5b0560f9589d 100644 --- a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx +++ b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx @@ -5,6 +5,7 @@ import { useTranslation } from 'react-i18next' import Tooltip from '@/app/components/base/tooltip' import cn from '@/utils/classnames' import type { Credential } from '@/app/components/tools/types' +import Input from '@/app/components/base/input' import Drawer from '@/app/components/base/drawer-plus' import Button from '@/app/components/base/button' import Radio from '@/app/components/base/radio/ui' @@ -16,7 +17,6 @@ type Props = { onChange: (credential: Credential) => void onHide: () => void } -const keyClassNames = 'py-2 leading-5 text-sm font-medium text-gray-900' type ItemProps = { text: string @@ -28,11 +28,11 @@ type ItemProps = { const SelectItem: FC<ItemProps> = ({ text, value, isChecked, onClick }) => { return ( <div - className={cn(isChecked ? 'border-[2px] border-indigo-600 shadow-sm bg-white' : 'border border-gray-100', 'mb-2 flex items-center h-9 pl-3 w-[150px] rounded-xl bg-gray-25 hover:bg-gray-50 cursor-pointer space-x-2')} + className={cn(isChecked ? 'border-[2px] border-util-colors-indigo-indigo-600 shadow-sm bg-components-panel-on-panel-item-bg' : 'border border-components-card-border', 'mb-2 flex items-center h-9 pl-3 w-[150px] rounded-xl bg-components-panel-on-panel-item-bg hover:bg-components-panel-on-panel-item-bg-hover cursor-pointer space-x-2')} onClick={() => onClick(value)} > <Radio isChecked={isChecked} /> - <div className='text-sm font-normal text-gray-900'>{text}</div> + <div className='system-sm-regular text-text-primary'>{text}</div> </div> ) } @@ -55,12 +55,12 @@ const ConfigCredential: FC<Props> = ({ panelClassName='mt-2 !w-[520px] h-fit' maxWidthClassName='!max-w-[520px]' height={'fit-content'} - headerClassName='!border-b-black/5' + headerClassName='!border-b-divider-regular' body={ <div className='pt-2 px-6'> <div className='space-y-4'> <div> - <div className={keyClassNames}>{t('tools.createTool.authMethod.type')}</div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.type')}</div> <div className='flex space-x-3'> <SelectItem text={t('tools.createTool.authMethod.types.none')} @@ -84,52 +84,52 @@ const ConfigCredential: FC<Props> = ({ </div> {tempCredential.auth_type === AuthType.apiKey && ( <> - <div className={keyClassNames}>{t('tools.createTool.authHeaderPrefix.title')}</div> - <div className='flex space-x-3'> - <SelectItem - text={t('tools.createTool.authHeaderPrefix.types.basic')} - value={AuthHeaderPrefix.basic} - isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.basic} - onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })} - /> - <SelectItem - text={t('tools.createTool.authHeaderPrefix.types.bearer')} - value={AuthHeaderPrefix.bearer} - isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.bearer} - onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })} - /> - <SelectItem - text={t('tools.createTool.authHeaderPrefix.types.custom')} - value={AuthHeaderPrefix.custom} - isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.custom} - onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })} - /> + <div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authHeaderPrefix.title')}</div> + <div className='flex space-x-3'> + <SelectItem + text={t('tools.createTool.authHeaderPrefix.types.basic')} + value={AuthHeaderPrefix.basic} + isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.basic} + onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })} + /> + <SelectItem + text={t('tools.createTool.authHeaderPrefix.types.bearer')} + value={AuthHeaderPrefix.bearer} + isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.bearer} + onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })} + /> + <SelectItem + text={t('tools.createTool.authHeaderPrefix.types.custom')} + value={AuthHeaderPrefix.custom} + isChecked={tempCredential.api_key_header_prefix === AuthHeaderPrefix.custom} + onClick={value => setTempCredential({ ...tempCredential, api_key_header_prefix: value as AuthHeaderPrefix })} + /> + </div> </div> <div> - <div className='flex items-center h-8 text-[13px] font-medium text-gray-900'> + <div className='flex items-center py-2 system-sm-medium text-text-primary'> {t('tools.createTool.authMethod.key')} <Tooltip popupContent={ - <div className='w-[261px] text-gray-500'> + <div className='w-[261px] text-text-tertiary'> {t('tools.createTool.authMethod.keyTooltip')} </div> } triggerClassName='ml-0.5 w-4 h-4' /> </div> - <input + <Input value={tempCredential.api_key_header} onChange={e => setTempCredential({ ...tempCredential, api_key_header: e.target.value })} - className='w-full h-10 px-3 text-sm font-normal border border-transparent bg-gray-100 rounded-lg grow outline-none focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs' placeholder={t('tools.createTool.authMethod.types.apiKeyPlaceholder')!} /> </div> <div> - <div className={keyClassNames}>{t('tools.createTool.authMethod.value')}</div> - <input + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.value')}</div> + <Input value={tempCredential.api_key_value} onChange={e => setTempCredential({ ...tempCredential, api_key_value: e.target.value })} - className='w-full h-10 px-3 text-sm font-normal border border-transparent bg-gray-100 rounded-lg grow outline-none focus:bg-components-input-bg-active focus:border-components-input-border-active focus:shadow-xs' placeholder={t('tools.createTool.authMethod.types.apiValuePlaceholder')!} /> </div> diff --git a/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx b/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx index 2552c675680758..a43440bda45b13 100644 --- a/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx +++ b/web/app/components/tools/edit-custom-collection-modal/get-schema.tsx @@ -10,6 +10,7 @@ import { import Toast from '../../base/toast' import examples from './examples' import Button from '@/app/components/base/button' +import Input from '@/app/components/base/input' import { importSchemaFromURL } from '@/service/tools' type Props = { @@ -63,14 +64,14 @@ const GetSchema: FC<Props> = ({ onClick={() => { setShowImportFromUrl(!showImportFromUrl) }} > <RiAddLine className='w-3 h-3' /> - <div className='text-xs font-medium text-gray-700'>{t('tools.createTool.importFromUrl')}</div> + <div className='system-xs-medium text-text-secondary'>{t('tools.createTool.importFromUrl')}</div> </Button> {showImportFromUrl && ( - <div className=' absolute left-[-35px] top-[26px] p-2 rounded-lg border border-gray-200 bg-white shadow-lg'> + <div className=' absolute left-[-35px] top-[26px] p-2 rounded-lg border border-components-panel-border bg-components-panel-bg shadow-lg'> <div className='relative'> - <input + <Input type='text' - className='w-[244px] h-8 pl-1.5 pr-[44px] overflow-x-auto border border-gray-200 rounded-lg text-[13px] focus:outline-none focus:border-components-input-border-active' + className='w-[244px]' placeholder={t('tools.createTool.importFromUrlPlaceHolder')!} value={importUrl} onChange={e => setImportUrl(e.target.value)} @@ -95,11 +96,11 @@ const GetSchema: FC<Props> = ({ className='space-x-1' onClick={() => { setShowExamples(!showExamples) }} > - <div className='text-xs font-medium text-gray-700'>{t('tools.createTool.examples')}</div> + <div className='system-xs-medium text-text-secondary'>{t('tools.createTool.examples')}</div> <RiArrowDownSLine className='w-3 h-3' /> </Button> {showExamples && ( - <div className='absolute top-7 right-0 p-1 rounded-lg bg-white shadow-sm'> + <div className='absolute top-7 right-0 p-1 rounded-lg bg-components-panel-bg shadow-sm'> {examples.map(item => ( <div key={item.key} @@ -107,7 +108,7 @@ const GetSchema: FC<Props> = ({ onChange(item.content) setShowExamples(false) }} - className='px-3 py-1.5 rounded-lg hover:bg-gray-50 leading-5 text-sm font-normal text-gray-700 cursor-pointer whitespace-nowrap' + className='px-3 py-1.5 rounded-lg hover:bg-components-panel-on-panel-item-bg-hover leading-5 system-sm-regular text-text-secondary cursor-pointer whitespace-nowrap' > {t(`tools.createTool.exampleOptions.${item.key}`)} </div> diff --git a/web/app/components/tools/edit-custom-collection-modal/index.tsx b/web/app/components/tools/edit-custom-collection-modal/index.tsx index 555fd0dd08b5bf..786d3a4625a663 100644 --- a/web/app/components/tools/edit-custom-collection-modal/index.tsx +++ b/web/app/components/tools/edit-custom-collection-modal/index.tsx @@ -3,8 +3,9 @@ import type { FC } from 'react' import React, { useEffect, useState } from 'react' import { useTranslation } from 'react-i18next' import { useDebounce, useGetState } from 'ahooks' +import { RiSettings2Line } from '@remixicon/react' import produce from 'immer' -import { LinkExternal02, Settings01 } from '../../base/icons/src/vender/line/general' +import { LinkExternal02 } from '../../base/icons/src/vender/line/general' import type { Credential, CustomCollectionBackend, CustomParamSchema, Emoji } from '../types' import { AuthHeaderPrefix, AuthType } from '../types' import GetSchema from './get-schema' @@ -21,7 +22,6 @@ import { parseParamsSchema } from '@/service/tools' import LabelSelector from '@/app/components/tools/labels/selector' import Toast from '@/app/components/base/toast' -const fieldNameClassNames = 'py-2 leading-5 text-sm font-medium text-gray-900' type Props = { positionLeft?: boolean payload: any @@ -189,12 +189,12 @@ const EditCustomCollectionModal: FC<Props> = ({ panelClassName='mt-2 !w-[640px]' maxWidthClassName='!max-w-[640px]' height='calc(100vh - 16px)' - headerClassName='!border-b-black/5' + headerClassName='!border-b-divider-regular' body={ <div className='flex flex-col h-full'> <div className='grow h-0 overflow-y-auto px-6 py-3 space-y-4'> <div> - <div className={fieldNameClassNames}>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div> <div className='flex items-center justify-between gap-3'> <AppIcon size='large' onClick={() => { setShowEmojiPicker(true) }} className='cursor-pointer' icon={emoji.content} background={emoji.background} /> <Input @@ -214,12 +214,12 @@ const EditCustomCollectionModal: FC<Props> = ({ <div className='select-none'> <div className='flex justify-between items-center'> <div className='flex items-center'> - <div className={fieldNameClassNames}>{t('tools.createTool.schema')}<span className='ml-1 text-red-500'>*</span></div> - <div className='mx-2 w-px h-3 bg-black/5'></div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.schema')}<span className='ml-1 text-red-500'>*</span></div> + <div className='mx-2 w-px h-3 bg-divider-regular'></div> <a href="https://swagger.io/specification/" target='_blank' rel='noopener noreferrer' - className='flex items-center h-[18px] space-x-1 text-[#155EEF]' + className='flex items-center h-[18px] space-x-1 text-text-accent' > <div className='text-xs font-normal'>{t('tools.createTool.viewSchemaSpec')}</div> <LinkExternal02 className='w-3 h-3' /> @@ -238,11 +238,11 @@ const EditCustomCollectionModal: FC<Props> = ({ {/* Available Tools */} <div> - <div className={fieldNameClassNames}>{t('tools.createTool.availableTools.title')}</div> - <div className='rounded-lg border border-gray-200 w-full overflow-x-auto'> - <table className='w-full leading-[18px] text-xs text-gray-700 font-normal'> - <thead className='text-gray-500 uppercase'> - <tr className={cn(paramsSchemas.length > 0 && 'border-b', 'border-gray-200')}> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.availableTools.title')}</div> + <div className='rounded-lg border border-divider-regular w-full overflow-x-auto'> + <table className='w-full system-xs-regular text-text-secondary'> + <thead className='text-text-tertiary uppercase'> + <tr className={cn(paramsSchemas.length > 0 && 'border-b', 'border-divider-regular')}> <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.name')}</th> <th className="p-2 pl-3 font-medium w-[236px]">{t('tools.createTool.availableTools.description')}</th> <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.method')}</th> @@ -252,9 +252,9 @@ const EditCustomCollectionModal: FC<Props> = ({ </thead> <tbody> {paramsSchemas.map((item, index) => ( - <tr key={index} className='border-b last:border-0 border-gray-200'> + <tr key={index} className='border-b last:border-0 border-divider-regular'> <td className="p-2 pl-3">{item.operation_id}</td> - <td className="p-2 pl-3 text-gray-500 w-[236px]">{item.summary}</td> + <td className="p-2 pl-3 w-[236px]">{item.summary}</td> <td className="p-2 pl-3">{item.method}</td> <td className="p-2 pl-3">{getPath(item.server_url)}</td> <td className="p-2 pl-3 w-[62px]"> @@ -277,22 +277,22 @@ const EditCustomCollectionModal: FC<Props> = ({ {/* Authorization method */} <div> - <div className={fieldNameClassNames}>{t('tools.createTool.authMethod.title')}</div> - <div className='flex items-center h-9 justify-between px-2.5 bg-gray-100 rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}> - <div className='text-sm font-normal text-gray-900'>{t(`tools.createTool.authMethod.types.${credential.auth_type}`)}</div> - <Settings01 className='w-4 h-4 text-gray-700 opacity-60' /> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.title')}</div> + <div className='flex items-center h-9 justify-between px-2.5 bg-components-input-bg-normal rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}> + <div className='system-xs-regular text-text-primary'>{t(`tools.createTool.authMethod.types.${credential.auth_type}`)}</div> + <RiSettings2Line className='w-4 h-4 text-text-secondary' /> </div> </div> {/* Labels */} <div> - <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.toolInput.label')}</div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.label')}</div> <LabelSelector value={labels} onChange={handleLabelSelect} /> </div> {/* Privacy Policy */} <div> - <div className={fieldNameClassNames}>{t('tools.createTool.privacyPolicy')}</div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.privacyPolicy')}</div> <Input value={customCollection.privacy_policy} onChange={(e) => { @@ -305,7 +305,7 @@ const EditCustomCollectionModal: FC<Props> = ({ </div> <div> - <div className={fieldNameClassNames}>{t('tools.createTool.customDisclaimer')}</div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.customDisclaimer')}</div> <Input value={customCollection.custom_disclaimer} onChange={(e) => { @@ -318,10 +318,10 @@ const EditCustomCollectionModal: FC<Props> = ({ </div> </div> - <div className={cn(isEdit ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-gray-50 border-t border-black/5')} > + <div className={cn(isEdit ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-background-section-burn border-t border-divider-regular')} > { isEdit && ( - <Button onClick={onRemove} className='text-red-500 border-red-50 hover:border-red-500'>{t('common.operation.delete')}</Button> + <Button variant='warning' onClick={onRemove}>{t('common.operation.delete')}</Button> ) } <div className='flex space-x-2 '> diff --git a/web/app/components/tools/edit-custom-collection-modal/modal.tsx b/web/app/components/tools/edit-custom-collection-modal/modal.tsx new file mode 100644 index 00000000000000..0b4447850cd9ec --- /dev/null +++ b/web/app/components/tools/edit-custom-collection-modal/modal.tsx @@ -0,0 +1,360 @@ +'use client' +import type { FC } from 'react' +import React, { useEffect, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { useDebounce, useGetState } from 'ahooks' +import produce from 'immer' +import { LinkExternal02, Settings01 } from '../../base/icons/src/vender/line/general' +import type { Credential, CustomCollectionBackend, CustomParamSchema, Emoji } from '../types' +import { AuthHeaderPrefix, AuthType } from '../types' +import GetSchema from './get-schema' +import ConfigCredentials from './config-credentials' +import TestApi from './test-api' +import cn from '@/utils/classnames' +import Input from '@/app/components/base/input' +import Textarea from '@/app/components/base/textarea' +import EmojiPicker from '@/app/components/base/emoji-picker' +import AppIcon from '@/app/components/base/app-icon' +import { parseParamsSchema } from '@/service/tools' +import LabelSelector from '@/app/components/tools/labels/selector' +import Toast from '@/app/components/base/toast' +import Modal from '../../base/modal' +import Button from '@/app/components/base/button' + +type Props = { + positionLeft?: boolean + payload: any + onHide: () => void + onAdd?: (payload: CustomCollectionBackend) => void + onRemove?: () => void + onEdit?: (payload: CustomCollectionBackend) => void +} +// Add and Edit +const EditCustomCollectionModal: FC<Props> = ({ + payload, + onHide, + onAdd, + onEdit, + onRemove, +}) => { + const { t } = useTranslation() + const isAdd = !payload + const isEdit = !!payload + + const [editFirst, setEditFirst] = useState(!isAdd) + const [paramsSchemas, setParamsSchemas] = useState<CustomParamSchema[]>(payload?.tools || []) + const [customCollection, setCustomCollection, getCustomCollection] = useGetState<CustomCollectionBackend>(isAdd + ? { + provider: '', + credentials: { + auth_type: AuthType.none, + api_key_header: 'Authorization', + api_key_header_prefix: AuthHeaderPrefix.basic, + }, + icon: { + content: '🕵️', + background: '#FEF7C3', + }, + schema_type: '', + schema: '', + } + : payload) + + const originalProvider = isEdit ? payload.provider : '' + + const [showEmojiPicker, setShowEmojiPicker] = useState(false) + const emoji = customCollection.icon + const setEmoji = (emoji: Emoji) => { + const newCollection = produce(customCollection, (draft) => { + draft.icon = emoji + }) + setCustomCollection(newCollection) + } + const schema = customCollection.schema + const debouncedSchema = useDebounce(schema, { wait: 500 }) + const setSchema = (schema: any) => { + const newCollection = produce(customCollection, (draft) => { + draft.schema = schema + }) + setCustomCollection(newCollection) + } + + useEffect(() => { + if (!debouncedSchema) + return + if (isEdit && editFirst) { + setEditFirst(false) + return + } + (async () => { + try { + const { parameters_schema, schema_type } = await parseParamsSchema(debouncedSchema) + const customCollection = getCustomCollection() + const newCollection = produce(customCollection, (draft) => { + draft.schema_type = schema_type + }) + setCustomCollection(newCollection) + setParamsSchemas(parameters_schema) + } + catch (e) { + const customCollection = getCustomCollection() + const newCollection = produce(customCollection, (draft) => { + draft.schema_type = '' + }) + setCustomCollection(newCollection) + setParamsSchemas([]) + } + })() + }, [debouncedSchema]) + + const [credentialsModalShow, setCredentialsModalShow] = useState(false) + const credential = customCollection.credentials + const setCredential = (credential: Credential) => { + const newCollection = produce(customCollection, (draft) => { + draft.credentials = credential + }) + setCustomCollection(newCollection) + } + + const [currTool, setCurrTool] = useState<CustomParamSchema | null>(null) + const [isShowTestApi, setIsShowTestApi] = useState(false) + + const [labels, setLabels] = useState<string[]>(payload?.labels || []) + const handleLabelSelect = (value: string[]) => { + setLabels(value) + } + + const handleSave = () => { + // const postData = clone(customCollection) + const postData = produce(customCollection, (draft) => { + delete draft.tools + + if (draft.credentials.auth_type === AuthType.none) { + delete draft.credentials.api_key_header + delete draft.credentials.api_key_header_prefix + delete draft.credentials.api_key_value + } + + draft.labels = labels + }) + + let errorMessage = '' + if (!postData.provider) + errorMessage = t('common.errorMsg.fieldRequired', { field: t('tools.createTool.name') }) + + if (!postData.schema) + errorMessage = t('common.errorMsg.fieldRequired', { field: t('tools.createTool.schema') }) + + if (errorMessage) { + Toast.notify({ + type: 'error', + message: errorMessage, + }) + return + } + + if (isAdd) { + onAdd?.(postData) + return + } + + onEdit?.({ + ...postData, + original_provider: originalProvider, + }) + } + + const getPath = (url: string) => { + if (!url) + return '' + + try { + const path = decodeURI(new URL(url).pathname) + return path || '' + } + catch (e) { + return url + } + } + + return ( + <> + <Modal + isShow + onClose={onHide} + closable + className='!p-0 !max-w-[630px] !h-[calc(100vh-16px)]' + > + <div className='flex flex-col h-full'> + <div className='ml-6 mt-6 text-base font-semibold text-text-primary'> + {t('tools.createTool.title')} + </div> + <div className='grow h-0 overflow-y-auto px-6 py-3 space-y-4'> + <div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div> + <div className='flex items-center justify-between gap-3'> + <AppIcon size='large' onClick={() => { setShowEmojiPicker(true) }} className='cursor-pointer' icon={emoji.content} background={emoji.background} /> + <Input + className='h-10 grow' placeholder={t('tools.createTool.toolNamePlaceHolder')!} + value={customCollection.provider} + onChange={(e) => { + const newCollection = produce(customCollection, (draft) => { + draft.provider = e.target.value + }) + setCustomCollection(newCollection) + }} + /> + </div> + </div> + + {/* Schema */} + <div className='select-none'> + <div className='flex justify-between items-center'> + <div className='flex items-center'> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.schema')}<span className='ml-1 text-red-500'>*</span></div> + <div className='mx-2 w-px h-3 bg-divider-regular'></div> + <a + href="https://swagger.io/specification/" + target='_blank' rel='noopener noreferrer' + className='flex items-center h-[18px] space-x-1 text-text-accent' + > + <div className='text-xs font-normal'>{t('tools.createTool.viewSchemaSpec')}</div> + <LinkExternal02 className='w-3 h-3' /> + </a> + </div> + <GetSchema onChange={setSchema} /> + + </div> + <Textarea + className='h-[240px] resize-none' + value={schema} + onChange={e => setSchema(e.target.value)} + placeholder={t('tools.createTool.schemaPlaceHolder')!} + /> + </div> + + {/* Available Tools */} + <div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.availableTools.title')}</div> + <div className='rounded-lg border border-divider-regular w-full overflow-x-auto'> + <table className='w-full system-xs-regular text-text-secondary'> + <thead className='text-text-tertiary uppercase'> + <tr className={cn(paramsSchemas.length > 0 && 'border-b', 'border-divider-regular')}> + <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.name')}</th> + <th className="p-2 pl-3 font-medium w-[236px]">{t('tools.createTool.availableTools.description')}</th> + <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.method')}</th> + <th className="p-2 pl-3 font-medium">{t('tools.createTool.availableTools.path')}</th> + <th className="p-2 pl-3 font-medium w-[54px]">{t('tools.createTool.availableTools.action')}</th> + </tr> + </thead> + <tbody> + {paramsSchemas.map((item, index) => ( + <tr key={index} className='border-b last:border-0 border-divider-regular'> + <td className="p-2 pl-3">{item.operation_id}</td> + <td className="p-2 pl-3 w-[236px]">{item.summary}</td> + <td className="p-2 pl-3">{item.method}</td> + <td className="p-2 pl-3">{getPath(item.server_url)}</td> + <td className="p-2 pl-3 w-[62px]"> + <Button + size='small' + onClick={() => { + setCurrTool(item) + setIsShowTestApi(true) + }} + > + {t('tools.createTool.availableTools.test')} + </Button> + </td> + </tr> + ))} + </tbody> + </table> + </div> + </div> + + {/* Authorization method */} + <div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.title')}</div> + <div className='flex items-center h-9 justify-between px-2.5 bg-components-input-bg-normal rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}> + <div className='system-xs-regular text-text-primary'>{t(`tools.createTool.authMethod.types.${credential.auth_type}`)}</div> + <Settings01 className='w-4 h-4 text-text-secondary' /> + </div> + </div> + + {/* Labels */} + <div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.label')}</div> + <LabelSelector value={labels} onChange={handleLabelSelect} /> + </div> + + {/* Privacy Policy */} + <div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.privacyPolicy')}</div> + <Input + value={customCollection.privacy_policy} + onChange={(e) => { + const newCollection = produce(customCollection, (draft) => { + draft.privacy_policy = e.target.value + }) + setCustomCollection(newCollection) + }} + className='h-10 grow' placeholder={t('tools.createTool.privacyPolicyPlaceholder') || ''} /> + </div> + + <div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.customDisclaimer')}</div> + <Input + value={customCollection.custom_disclaimer} + onChange={(e) => { + const newCollection = produce(customCollection, (draft) => { + draft.custom_disclaimer = e.target.value + }) + setCustomCollection(newCollection) + }} + className='h-10 grow' placeholder={t('tools.createTool.customDisclaimerPlaceholder') || ''} /> + </div> + + </div> + <div className={cn(isEdit ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-background-section-burn border-t border-divider-regular')} > + { + isEdit && ( + <Button variant='warning' onClick={onRemove}>{t('common.operation.delete')}</Button> + ) + } + <div className='flex space-x-2 '> + <Button onClick={onHide}>{t('common.operation.cancel')}</Button> + <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button> + </div> + </div> + {showEmojiPicker && <EmojiPicker + onSelect={(icon, icon_background) => { + setEmoji({ content: icon, background: icon_background }) + setShowEmojiPicker(false) + }} + onClose={() => { + setShowEmojiPicker(false) + }} + />} + {credentialsModalShow && ( + <ConfigCredentials + positionCenter={isAdd} + credential={credential} + onChange={setCredential} + onHide={() => setCredentialsModalShow(false)} + />) + } + {isShowTestApi && ( + <TestApi + positionCenter={isAdd} + tool={currTool as CustomParamSchema} + customCollection={customCollection} + onHide={() => setIsShowTestApi(false)} + /> + )} + </div> + </Modal> + </> + + ) +} +export default React.memo(EditCustomCollectionModal) diff --git a/web/app/components/tools/edit-custom-collection-modal/test-api.tsx b/web/app/components/tools/edit-custom-collection-modal/test-api.tsx index 80a08d07a9d986..3172110bf68059 100644 --- a/web/app/components/tools/edit-custom-collection-modal/test-api.tsx +++ b/web/app/components/tools/edit-custom-collection-modal/test-api.tsx @@ -3,10 +3,11 @@ import type { FC } from 'react' import React, { useState } from 'react' import { useTranslation } from 'react-i18next' import { useContext } from 'use-context-selector' -import { Settings01 } from '../../base/icons/src/vender/line/general' +import { RiSettings2Line } from '@remixicon/react' import ConfigCredentials from './config-credentials' import { AuthType, type Credential, type CustomCollectionBackend, type CustomParamSchema } from '@/app/components/tools/types' import Button from '@/app/components/base/button' +import Input from '@/app/components/base/input' import Drawer from '@/app/components/base/drawer-plus' import I18n from '@/context/i18n' import { testAPIAvailable } from '@/service/tools' @@ -19,8 +20,6 @@ type Props = { onHide: () => void } -const keyClassNames = 'py-2 leading-5 text-sm font-medium text-gray-900' - const TestApi: FC<Props> = ({ positionCenter, customCollection, @@ -65,39 +64,40 @@ const TestApi: FC<Props> = ({ panelClassName='mt-2 !w-[600px]' maxWidthClassName='!max-w-[600px]' height='calc(100vh - 16px)' - headerClassName='!border-b-black/5' + headerClassName='!border-b-divider-regular' body={ <div className='pt-2 px-6 overflow-y-auto'> <div className='space-y-4'> <div> - <div className={keyClassNames}>{t('tools.createTool.authMethod.title')}</div> - <div className='flex items-center h-9 justify-between px-2.5 bg-gray-100 rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}> - <div className='text-sm font-normal text-gray-900'>{t(`tools.createTool.authMethod.types.${tempCredential.auth_type}`)}</div> - <Settings01 className='w-4 h-4 text-gray-700 opacity-60' /> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.authMethod.title')}</div> + <div className='flex items-center h-9 justify-between px-2.5 bg-components-input-bg-normal rounded-lg cursor-pointer' onClick={() => setCredentialsModalShow(true)}> + <div className='system-xs-regular text-text-primary'>{t(`tools.createTool.authMethod.types.${tempCredential.auth_type}`)}</div> + <RiSettings2Line className='w-4 h-4 text-text-secondary' /> </div> </div> <div> - <div className={keyClassNames}>{t('tools.test.parametersValue')}</div> - <div className='rounded-lg border border-gray-200'> - <table className='w-full leading-[18px] text-xs text-gray-700 font-normal'> - <thead className='text-gray-500 uppercase'> - <tr className='border-b border-gray-200'> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.test.parametersValue')}</div> + <div className='rounded-lg border border-divider-regular'> + <table className='w-full system-xs-regular text-text-secondary font-normal'> + <thead className='text-text-tertiary uppercase'> + <tr className='border-b border-divider-regular'> <th className="p-2 pl-3 font-medium">{t('tools.test.parameters')}</th> <th className="p-2 pl-3 font-medium">{t('tools.test.value')}</th> </tr> </thead> <tbody> {parameters.map((item, index) => ( - <tr key={index} className='border-b last:border-0 border-gray-200'> + <tr key={index} className='border-b last:border-0 border-divider-regular'> <td className="py-2 pl-3 pr-2.5"> {item.label[language]} </td> <td className=""> - <input + <Input value={parametersValue[item.name] || ''} onChange={e => setParametersValue({ ...parametersValue, [item.name]: e.target.value })} - type='text' className='px-3 h-[34px] w-full outline-none focus:bg-gray-100' ></input> + type='text' + className='!bg-transparent !border-transparent !hover:border-transparent !hover:bg-transparent !focus:border-transparent !focus:bg-transparent' /> </td> </tr> ))} @@ -110,11 +110,11 @@ const TestApi: FC<Props> = ({ <Button variant='primary' className=' mt-4 w-full h-10' onClick={handleTest}>{t('tools.test.title')}</Button> <div className='mt-6'> <div className='flex items-center space-x-3'> - <div className='leading-[18px] text-xs font-semibold text-gray-500'>{t('tools.test.testResult')}</div> + <div className='system-xs-semibold text-text-tertiary'>{t('tools.test.testResult')}</div> <div className='grow w-0 h-px bg-[rgb(243, 244, 246)]'></div> </div> - <div className='mt-2 px-3 py-2 h-[200px] overflow-y-auto overflow-x-hidden rounded-lg bg-gray-100 leading-4 text-xs font-normal text-gray-700'> - {result || <span className='text-gray-400'>{t('tools.test.testResultPlaceholder')}</span>} + <div className='mt-2 px-3 py-2 h-[200px] overflow-y-auto overflow-x-hidden rounded-lg bg-components-input-bg-normal system-xs-regular text-text-secondary'> + {result || <span className='text-text-quaternary'>{t('tools.test.testResultPlaceholder')}</span>} </div> </div> </div> diff --git a/web/app/components/tools/labels/constant.ts b/web/app/components/tools/labels/constant.ts index 3f073859d939ad..ad4836e6a83c6b 100644 --- a/web/app/components/tools/labels/constant.ts +++ b/web/app/components/tools/labels/constant.ts @@ -1,6 +1,4 @@ -import type { TypeWithI18N } from '@/app/components/header/account-setting/model-provider-page/declarations' export type Label = { name: string - icon: string - label: TypeWithI18N + label: string } diff --git a/web/app/components/tools/labels/filter.tsx b/web/app/components/tools/labels/filter.tsx index 20db687e79b872..87e65b5b4eea36 100644 --- a/web/app/components/tools/labels/filter.tsx +++ b/web/app/components/tools/labels/filter.tsx @@ -1,10 +1,8 @@ import type { FC } from 'react' import { useMemo, useState } from 'react' import { useTranslation } from 'react-i18next' -import { useContext } from 'use-context-selector' -import { useDebounceFn, useMount } from 'ahooks' +import { useDebounceFn } from 'ahooks' import { RiArrowDownSLine } from '@remixicon/react' -import { useStore as useLabelStore } from './store' import cn from '@/utils/classnames' import { PortalToFollowElem, @@ -16,9 +14,7 @@ import { Tag01, Tag03 } from '@/app/components/base/icons/src/vender/line/financ import { Check } from '@/app/components/base/icons/src/vender/line/general' import { XCircle } from '@/app/components/base/icons/src/vender/solid/general' import type { Label } from '@/app/components/tools/labels/constant' -import { fetchLabelList } from '@/service/tools' -import I18n from '@/context/i18n' -import { getLanguage } from '@/i18n/language' +import { useTags } from '@/app/components/plugins/hooks' type LabelFilterProps = { value: string[] @@ -29,12 +25,9 @@ const LabelFilter: FC<LabelFilterProps> = ({ onChange, }) => { const { t } = useTranslation() - const { locale } = useContext(I18n) - const language = getLanguage(locale) const [open, setOpen] = useState(false) - const labelList = useLabelStore(s => s.labelList) - const setLabelList = useLabelStore(s => s.setLabelList) + const { tags: labelList } = useTags() const [keywords, setKeywords] = useState('') const [searchKeywords, setSearchKeywords] = useState('') @@ -61,12 +54,6 @@ const LabelFilter: FC<LabelFilterProps> = ({ onChange([...value, label.name]) } - useMount(() => { - fetchLabelList().then((res) => { - setLabelList(res) - }) - }) - return ( <PortalToFollowElem open={open} @@ -80,24 +67,23 @@ const LabelFilter: FC<LabelFilterProps> = ({ className='block' > <div className={cn( - 'flex items-center gap-1 px-2 h-8 rounded-lg border-[0.5px] border-transparent bg-gray-200 cursor-pointer hover:bg-gray-300', - open && !value.length && '!bg-gray-300 hover:bg-gray-300', - !open && !!value.length && '!bg-white/80 shadow-xs !border-black/5 hover:!bg-gray-200', - open && !!value.length && '!bg-gray-200 !border-black/5 shadow-xs hover:!bg-gray-200', + 'flex items-center gap-1 px-2 h-8 rounded-lg border-[0.5px] border-transparent bg-components-input-bg-normal cursor-pointer hover:bg-components-input-bg-hover', + !open && !!value.length && 'shadow-xs', + open && !!value.length && 'shadow-xs', )}> <div className='p-[1px]'> - <Tag01 className='h-3.5 w-3.5 text-gray-700' /> + <Tag01 className='h-3.5 w-3.5 text-text-tertiary' /> </div> - <div className='text-[13px] leading-[18px] text-gray-700'> + <div className='text-[13px] leading-[18px] text-text-tertiary'> {!value.length && t('common.tag.placeholder')} - {!!value.length && currentLabel?.label[language]} + {!!value.length && currentLabel?.label} </div> {value.length > 1 && ( - <div className='text-xs font-medium leading-[18px] text-gray-500'>{`+${value.length - 1}`}</div> + <div className='text-xs font-medium leading-[18px] text-text-tertiary'>{`+${value.length - 1}`}</div> )} {!value.length && ( <div className='p-[1px]'> - <RiArrowDownSLine className='h-3.5 w-3.5 text-gray-700' /> + <RiArrowDownSLine className='h-3.5 w-3.5 text-text-tertiary' /> </div> )} {!!value.length && ( @@ -105,14 +91,14 @@ const LabelFilter: FC<LabelFilterProps> = ({ e.stopPropagation() onChange([]) }}> - <XCircle className='h-3.5 w-3.5 text-gray-400 group-hover/clear:text-gray-600' /> + <XCircle className='h-3.5 w-3.5 text-text-tertiary group-hover/clear:text-text-secondary' /> </div> )} </div> </PortalToFollowElemTrigger> <PortalToFollowElemContent className='z-[1002]'> - <div className='relative w-[240px] bg-white rounded-lg border-[0.5px] border-gray-200 shadow-lg'> - <div className='p-2 border-b-[0.5px] border-black/5'> + <div className='relative w-[240px] bg-components-panel-bg-blur rounded-lg border-[0.5px] backdrop-blur-[5px] border-components-panel-border shadow-lg'> + <div className='p-2'> <Input showLeftIcon showClearIcon @@ -125,17 +111,17 @@ const LabelFilter: FC<LabelFilterProps> = ({ {filteredLabelList.map(label => ( <div key={label.name} - className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-gray-100' + className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-state-base-hover' onClick={() => selectLabel(label)} > - <div title={label.label[language]} className='grow text-sm text-gray-700 leading-5 truncate'>{label.label[language]}</div> - {value.includes(label.name) && <Check className='shrink-0 w-4 h-4 text-primary-600' />} + <div title={label.label} className='grow text-sm text-text-secondary leading-5 truncate'>{label.label}</div> + {value.includes(label.name) && <Check className='shrink-0 w-4 h-4 text-text-accent' />} </div> ))} {!filteredLabelList.length && ( <div className='p-3 flex flex-col items-center gap-1'> - <Tag03 className='h-6 w-6 text-gray-300' /> - <div className='text-gray-500 text-xs leading-[14px]'>{t('common.tag.noTag')}</div> + <Tag03 className='h-6 w-6 text-text-quaternary' /> + <div className='text-text-tertiary text-xs leading-[14px]'>{t('common.tag.noTag')}</div> </div> )} </div> diff --git a/web/app/components/tools/labels/selector.tsx b/web/app/components/tools/labels/selector.tsx index 3f33e45b9112bf..26cfc3ad9bd960 100644 --- a/web/app/components/tools/labels/selector.tsx +++ b/web/app/components/tools/labels/selector.tsx @@ -1,10 +1,8 @@ import type { FC } from 'react' import { useMemo, useState } from 'react' import { useTranslation } from 'react-i18next' -import { useContext } from 'use-context-selector' -import { useDebounceFn, useMount } from 'ahooks' +import { useDebounceFn } from 'ahooks' import { RiArrowDownSLine } from '@remixicon/react' -import { useStore as useLabelStore } from './store' import cn from '@/utils/classnames' import { PortalToFollowElem, @@ -15,9 +13,7 @@ import Input from '@/app/components/base/input' import { Tag03 } from '@/app/components/base/icons/src/vender/line/financeAndECommerce' import Checkbox from '@/app/components/base/checkbox' import type { Label } from '@/app/components/tools/labels/constant' -import { fetchLabelList } from '@/service/tools' -import I18n from '@/context/i18n' -import { getLanguage } from '@/i18n/language' +import { useTags } from '@/app/components/plugins/hooks' type LabelSelectorProps = { value: string[] @@ -28,12 +24,9 @@ const LabelSelector: FC<LabelSelectorProps> = ({ onChange, }) => { const { t } = useTranslation() - const { locale } = useContext(I18n) - const language = getLanguage(locale) const [open, setOpen] = useState(false) - const labelList = useLabelStore(s => s.labelList) - const setLabelList = useLabelStore(s => s.setLabelList) + const { tags: labelList } = useTags() const [keywords, setKeywords] = useState('') const [searchKeywords, setSearchKeywords] = useState('') @@ -50,8 +43,8 @@ const LabelSelector: FC<LabelSelectorProps> = ({ }, [labelList, searchKeywords]) const selectedLabels = useMemo(() => { - return value.map(v => labelList.find(l => l.name === v)?.label[language]).join(', ') - }, [value, labelList, language]) + return value.map(v => labelList.find(l => l.name === v)?.label).join(', ') + }, [value, labelList]) const selectLabel = (label: Label) => { if (value.includes(label.name)) @@ -60,12 +53,6 @@ const LabelSelector: FC<LabelSelectorProps> = ({ onChange([...value, label.name]) } - useMount(() => { - fetchLabelList().then((res) => { - setLabelList(res) - }) - }) - return ( <PortalToFollowElem open={open} @@ -79,21 +66,21 @@ const LabelSelector: FC<LabelSelectorProps> = ({ className='block' > <div className={cn( - 'flex items-center gap-1 px-3 h-10 rounded-lg border-[0.5px] border-transparent bg-gray-100 cursor-pointer hover:bg-gray-200', - open && '!bg-gray-200 hover:bg-gray-200', + 'flex items-center gap-1 px-3 h-10 rounded-lg border-[0.5px] border-transparent bg-components-input-bg-normal cursor-pointer hover:bg-components-input-bg-hover', + open && '!hover:bg-components-input-bg-hover hover:bg-components-input-bg-hover', )}> - <div title={value.length > 0 ? selectedLabels : ''} className={cn('grow text-[13px] leading-[18px] text-gray-700 truncate', !value.length && '!text-gray-400')}> + <div title={value.length > 0 ? selectedLabels : ''} className={cn('grow text-[13px] leading-[18px] text-text-secondary truncate', !value.length && '!text-text-quaternary')}> {!value.length && t('tools.createTool.toolInput.labelPlaceholder')} {!!value.length && selectedLabels} </div> - <div className='shrink-0 ml-1 text-gray-700 opacity-60'> + <div className='shrink-0 ml-1 text-text-secondary opacity-60'> <RiArrowDownSLine className='h-4 w-4' /> </div> </div> </PortalToFollowElemTrigger> <PortalToFollowElemContent className='z-[1040]'> - <div className='relative w-[591px] bg-white rounded-lg border-[0.5px] border-gray-200 shadow-lg'> - <div className='p-2 border-b-[0.5px] border-black/5'> + <div className='relative w-[591px] bg-components-panel-bg-blur backdrop-blur-[5px] rounded-lg border-[0.5px] border-components-panel-border shadow-lg'> + <div className='p-2 border-b-[0.5px] border-divider-regular'> <Input showLeftIcon showClearIcon @@ -106,7 +93,7 @@ const LabelSelector: FC<LabelSelectorProps> = ({ {filteredLabelList.map(label => ( <div key={label.name} - className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-gray-100' + className='flex items-center gap-2 pl-3 py-[6px] pr-2 rounded-lg cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover' onClick={() => selectLabel(label)} > <Checkbox @@ -114,13 +101,13 @@ const LabelSelector: FC<LabelSelectorProps> = ({ checked={value.includes(label.name)} onCheck={() => { }} /> - <div title={label.label[language]} className='grow text-sm text-gray-700 leading-5 truncate'>{label.label[language]}</div> + <div title={label.label} className='grow text-sm text-text-secondary leading-5 truncate'>{label.label}</div> </div> ))} {!filteredLabelList.length && ( <div className='p-3 flex flex-col items-center gap-1'> - <Tag03 className='h-6 w-6 text-gray-300' /> - <div className='text-gray-500 text-xs leading-[14px]'>{t('common.tag.noTag')}</div> + <Tag03 className='h-6 w-6 text-text-quaternary' /> + <div className='text-text-tertiary text-xs leading-[14px]'>{t('common.tag.noTag')}</div> </div> )} </div> diff --git a/web/app/components/tools/labels/store.ts b/web/app/components/tools/labels/store.ts deleted file mode 100644 index c19991dfd4e7b9..00000000000000 --- a/web/app/components/tools/labels/store.ts +++ /dev/null @@ -1,15 +0,0 @@ -import { create } from 'zustand' -import type { Label } from './constant' - -type State = { - labelList: Label[] -} - -type Action = { - setLabelList: (labelList?: Label[]) => void -} - -export const useStore = create<State & Action>(set => ({ - labelList: [], - setLabelList: labelList => set(() => ({ labelList })), -})) diff --git a/web/app/components/tools/marketplace/hooks.ts b/web/app/components/tools/marketplace/hooks.ts new file mode 100644 index 00000000000000..0790d5272151c4 --- /dev/null +++ b/web/app/components/tools/marketplace/hooks.ts @@ -0,0 +1,117 @@ +import { + useCallback, + useEffect, + useMemo, + useRef, + useState, +} from 'react' +import { + useMarketplaceCollectionsAndPlugins, + useMarketplacePlugins, +} from '@/app/components/plugins/marketplace/hooks' +import { PluginType } from '@/app/components/plugins/types' +import { getMarketplaceListCondition } from '@/app/components/plugins/marketplace/utils' +import { useAllToolProviders } from '@/service/use-tools' + +export const useMarketplace = (searchPluginText: string, filterPluginTags: string[]) => { + const { data: toolProvidersData, isSuccess } = useAllToolProviders() + const exclude = useMemo(() => { + if (isSuccess) + return toolProvidersData?.filter(toolProvider => !!toolProvider.plugin_id).map(toolProvider => toolProvider.plugin_id!) + }, [isSuccess, toolProvidersData]) + const { + isLoading, + marketplaceCollections, + marketplaceCollectionPluginsMap, + queryMarketplaceCollectionsAndPlugins, + } = useMarketplaceCollectionsAndPlugins() + const { + plugins, + resetPlugins, + queryPlugins, + queryPluginsWithDebounced, + isLoading: isPluginsLoading, + total: pluginsTotal, + } = useMarketplacePlugins() + const [page, setPage] = useState(1) + const pageRef = useRef(page) + const searchPluginTextRef = useRef(searchPluginText) + const filterPluginTagsRef = useRef(filterPluginTags) + + useEffect(() => { + searchPluginTextRef.current = searchPluginText + filterPluginTagsRef.current = filterPluginTags + }, [searchPluginText, filterPluginTags]) + useEffect(() => { + if ((searchPluginText || filterPluginTags.length) && isSuccess) { + setPage(1) + pageRef.current = 1 + + if (searchPluginText) { + queryPluginsWithDebounced({ + category: PluginType.tool, + query: searchPluginText, + tags: filterPluginTags, + exclude, + type: 'plugin', + page: pageRef.current, + }) + return + } + queryPlugins({ + category: PluginType.tool, + query: searchPluginText, + tags: filterPluginTags, + exclude, + type: 'plugin', + page: pageRef.current, + }) + } + else { + if (isSuccess) { + queryMarketplaceCollectionsAndPlugins({ + category: PluginType.tool, + condition: getMarketplaceListCondition(PluginType.tool), + exclude, + type: 'plugin', + }) + resetPlugins() + } + } + }, [searchPluginText, filterPluginTags, queryPlugins, queryMarketplaceCollectionsAndPlugins, queryPluginsWithDebounced, resetPlugins, exclude, isSuccess]) + + const handleScroll = useCallback((e: Event) => { + const target = e.target as HTMLDivElement + const { + scrollTop, + scrollHeight, + clientHeight, + } = target + if (scrollTop + clientHeight >= scrollHeight - 5 && scrollTop > 0) { + const searchPluginText = searchPluginTextRef.current + const filterPluginTags = filterPluginTagsRef.current + if (pluginsTotal && plugins && pluginsTotal > plugins.length && (!!searchPluginText || !!filterPluginTags.length)) { + setPage(pageRef.current + 1) + pageRef.current++ + + queryPlugins({ + category: PluginType.tool, + query: searchPluginText, + tags: filterPluginTags, + exclude, + type: 'plugin', + page: pageRef.current, + }) + } + } + }, [exclude, plugins, pluginsTotal, queryPlugins]) + + return { + isLoading: isLoading || isPluginsLoading, + marketplaceCollections, + marketplaceCollectionPluginsMap, + plugins, + handleScroll, + page, + } +} diff --git a/web/app/components/tools/marketplace/index.tsx b/web/app/components/tools/marketplace/index.tsx new file mode 100644 index 00000000000000..2b560b8a132517 --- /dev/null +++ b/web/app/components/tools/marketplace/index.tsx @@ -0,0 +1,117 @@ +import { + useEffect, + useRef, +} from 'react' +import { + RiArrowRightUpLine, + RiArrowUpDoubleLine, +} from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import { useMarketplace } from './hooks' +import List from '@/app/components/plugins/marketplace/list' +import Loading from '@/app/components/base/loading' +import { getLocaleOnClient } from '@/i18n' +import { MARKETPLACE_URL_PREFIX } from '@/config' + +type MarketplaceProps = { + searchPluginText: string + filterPluginTags: string[] + onMarketplaceScroll: () => void +} +const Marketplace = ({ + searchPluginText, + filterPluginTags, + onMarketplaceScroll, +}: MarketplaceProps) => { + const locale = getLocaleOnClient() + const { t } = useTranslation() + + const { + isLoading, + marketplaceCollections, + marketplaceCollectionPluginsMap, + plugins, + handleScroll, + page, + } = useMarketplace(searchPluginText, filterPluginTags) + const containerRef = useRef<HTMLDivElement>(null) + + useEffect(() => { + const container = containerRef.current + if (container) + container.addEventListener('scroll', handleScroll) + + return () => { + if (container) + container.removeEventListener('scroll', handleScroll) + } + }, [handleScroll]) + + return ( + <div + ref={containerRef} + className='grow flex flex-col shrink-0 sticky bottom-[-442px] h-[530px] overflow-y-auto px-12 py-2 pt-0 bg-background-default-subtle' + > + <RiArrowUpDoubleLine + className='absolute top-2 left-1/2 -translate-x-1/2 w-4 h-4 text-text-quaternary cursor-pointer' + onClick={() => onMarketplaceScroll()} + /> + <div className='sticky top-0 pt-5 pb-3 bg-background-default-subtle z-10'> + <div className='title-2xl-semi-bold bg-gradient-to-r from-[rgba(11,165,236,0.95)] to-[rgba(21,90,239,0.95)] bg-clip-text text-transparent'> + {t('plugin.marketplace.moreFrom')} + </div> + <div className='flex items-center text-center body-md-regular text-text-tertiary'> + {t('plugin.marketplace.discover')} + <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected"> + {t('plugin.category.models')} + </span> + , + <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected"> + {t('plugin.category.tools')} + </span> + , + <span className="relative ml-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected"> + {t('plugin.category.agents')} + </span> + , + <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected"> + {t('plugin.category.extensions')} + </span> + {t('plugin.marketplace.and')} + <span className="relative ml-1 mr-1 body-md-medium text-text-secondary after:content-[''] after:absolute after:left-0 after:bottom-[1.5px] after:w-full after:h-2 after:bg-text-text-selected"> + {t('plugin.category.bundles')} + </span> + {t('common.operation.in')} + <a + href={`${MARKETPLACE_URL_PREFIX}?language=${locale}&q=${searchPluginText}&tags=${filterPluginTags.join(',')}`} + className='flex items-center ml-1 system-sm-medium text-text-accent' + target='_blank' + > + {t('plugin.marketplace.difyMarketplace')} + <RiArrowRightUpLine className='w-4 h-4' /> + </a> + </div> + </div> + { + isLoading && page === 1 && ( + <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'> + <Loading /> + </div> + ) + } + { + (!isLoading || page > 1) && ( + <List + marketplaceCollections={marketplaceCollections || []} + marketplaceCollectionPluginsMap={marketplaceCollectionPluginsMap || {}} + plugins={plugins} + showInstallButton + locale={locale} + /> + ) + } + </div> + ) +} + +export default Marketplace diff --git a/web/app/components/tools/provider-list.tsx b/web/app/components/tools/provider-list.tsx index 73c73636419fa6..ff21c746685375 100644 --- a/web/app/components/tools/provider-list.tsx +++ b/web/app/components/tools/provider-list.tsx @@ -1,33 +1,36 @@ 'use client' -import { useEffect, useMemo, useState } from 'react' +import { useMemo, useRef, useState } from 'react' import { useTranslation } from 'react-i18next' -import { RiCloseLine } from '@remixicon/react' import type { Collection } from './types' +import Marketplace from './marketplace' import cn from '@/utils/classnames' import { useTabSearchParams } from '@/hooks/use-tab-searchparams' import TabSliderNew from '@/app/components/base/tab-slider-new' import LabelFilter from '@/app/components/tools/labels/filter' import Input from '@/app/components/base/input' -import { DotsGrid } from '@/app/components/base/icons/src/vender/line/general' -import { Colors } from '@/app/components/base/icons/src/vender/line/others' -import { Route } from '@/app/components/base/icons/src/vender/line/mapsAndTravel' -import CustomCreateCard from '@/app/components/tools/provider/custom-create-card' -import ContributeCard from '@/app/components/tools/provider/contribute' -import ProviderCard from '@/app/components/tools/provider/card' import ProviderDetail from '@/app/components/tools/provider/detail' -import Empty from '@/app/components/tools/add-tool-modal/empty' -import { fetchCollectionList } from '@/service/tools' +import Empty from '@/app/components/plugins/marketplace/empty' +import CustomCreateCard from '@/app/components/tools/provider/custom-create-card' +import WorkflowToolEmpty from '@/app/components/tools/add-tool-modal/empty' +import Card from '@/app/components/plugins/card' +import CardMoreInfo from '@/app/components/plugins/card/card-more-info' +import PluginDetailPanel from '@/app/components/plugins/plugin-detail-panel' +import { useSelector as useAppContextSelector } from '@/context/app-context' +import { useAllToolProviders } from '@/service/use-tools' +import { useInstalledPluginList, useInvalidateInstalledPluginList } from '@/service/use-plugins' const ProviderList = () => { const { t } = useTranslation() + const containerRef = useRef<HTMLDivElement>(null) + const { enable_marketplace } = useAppContextSelector(s => s.systemFeatures) const [activeTab, setActiveTab] = useTabSearchParams({ defaultTab: 'builtin', }) const options = [ - { value: 'builtin', text: t('tools.type.builtIn'), icon: <DotsGrid className='w-[14px] h-[14px] mr-1' /> }, - { value: 'api', text: t('tools.type.custom'), icon: <Colors className='w-[14px] h-[14px] mr-1' /> }, - { value: 'workflow', text: t('tools.type.workflow'), icon: <Route className='w-[14px] h-[14px] mr-1' /> }, + { value: 'builtin', text: t('tools.type.builtIn') }, + { value: 'api', text: t('tools.type.custom') }, + { value: 'workflow', text: t('tools.type.workflow') }, ] const [tagFilterValue, setTagFilterValue] = useState<string[]>([]) const handleTagsChange = (value: string[]) => { @@ -37,8 +40,7 @@ const ProviderList = () => { const handleKeywordsChange = (value: string) => { setKeywords(value) } - - const [collectionList, setCollectionList] = useState<Collection[]>([]) + const { data: collectionList = [], refetch } = useAllToolProviders() const filteredCollectionList = useMemo(() => { return collectionList.filter((collection) => { if (collection.type !== activeTab) @@ -50,75 +52,110 @@ const ProviderList = () => { return true }) }, [activeTab, tagFilterValue, keywords, collectionList]) - const getProviderList = async () => { - const list = await fetchCollectionList() - setCollectionList([...list]) - } - useEffect(() => { - getProviderList() - }, []) const [currentProvider, setCurrentProvider] = useState<Collection | undefined>() - useEffect(() => { - if (currentProvider && collectionList.length > 0) { - const newCurrentProvider = collectionList.find(collection => collection.id === currentProvider.id) - setCurrentProvider(newCurrentProvider) - } - }, [collectionList, currentProvider]) + const { data: pluginList } = useInstalledPluginList() + const invalidateInstalledPluginList = useInvalidateInstalledPluginList() + const currentPluginDetail = useMemo(() => { + const detail = pluginList?.plugins.find(plugin => plugin.plugin_id === currentProvider?.plugin_id) + return detail + }, [currentProvider?.plugin_id, pluginList?.plugins]) return ( - <div className='relative flex overflow-hidden bg-gray-100 shrink-0 h-0 grow'> - <div className='relative flex flex-col overflow-y-auto bg-gray-100 grow'> - <div className={cn( - 'sticky top-0 flex justify-between items-center pt-4 px-12 pb-2 leading-[56px] bg-gray-100 z-20 flex-wrap gap-y-2', - currentProvider && 'pr-6', - )}> - <TabSliderNew - value={activeTab} - onChange={(state) => { - setActiveTab(state) - if (state !== activeTab) - setCurrentProvider(undefined) - }} - options={options} - /> - <div className='flex items-center gap-2'> - <LabelFilter value={tagFilterValue} onChange={handleTagsChange} /> - <Input - showLeftIcon - showClearIcon - wrapperClassName='w-[200px]' - value={keywords} - onChange={e => handleKeywordsChange(e.target.value)} - onClear={() => handleKeywordsChange('')} + <> + <div className='relative flex overflow-hidden shrink-0 h-0 grow'> + <div + ref={containerRef} + className='relative flex flex-col overflow-y-auto bg-background-body grow' + > + <div className={cn( + 'sticky top-0 flex justify-between items-center pt-4 px-12 pb-2 leading-[56px] bg-background-body z-20 flex-wrap gap-y-2', + currentProvider && 'pr-6', + )}> + <TabSliderNew + value={activeTab} + onChange={(state) => { + setActiveTab(state) + if (state !== activeTab) + setCurrentProvider(undefined) + }} + options={options} /> + <div className='flex items-center gap-2'> + <LabelFilter value={tagFilterValue} onChange={handleTagsChange} /> + <Input + showLeftIcon + showClearIcon + wrapperClassName='w-[200px]' + value={keywords} + onChange={e => handleKeywordsChange(e.target.value)} + onClear={() => handleKeywordsChange('')} + /> + </div> </div> + {(filteredCollectionList.length > 0 || activeTab !== 'builtin') && ( + <div className={cn( + 'relative grid content-start grid-cols-1 gap-4 px-12 pt-2 pb-4 sm:grid-cols-2 md:grid-cols-3 lg:grid-cols-4 shrink-0', + !filteredCollectionList.length && activeTab === 'workflow' && 'grow', + )}> + {activeTab === 'api' && <CustomCreateCard onRefreshData={refetch} />} + {filteredCollectionList.map(collection => ( + <div + key={collection.id} + onClick={() => setCurrentProvider(collection)} + > + <Card + className={cn( + 'border-[1.5px] border-transparent cursor-pointer', + currentProvider?.id === collection.id && 'border-components-option-card-option-selected-border', + )} + hideCornerMark + payload={{ + ...collection, + brief: collection.description, + org: collection.plugin_id ? collection.plugin_id.split('/')[0] : '', + name: collection.plugin_id ? collection.plugin_id.split('/')[1] : collection.name, + } as any} + footer={ + <CardMoreInfo + tags={collection.labels} + /> + } + /> + </div> + ))} + {!filteredCollectionList.length && activeTab === 'workflow' && <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'><WorkflowToolEmpty /></div>} + </div> + )} + {!filteredCollectionList.length && activeTab === 'builtin' && ( + <Empty lightCard text={t('tools.noTools')} className='px-12 h-[224px]' /> + )} + { + enable_marketplace && activeTab === 'builtin' && ( + <Marketplace + onMarketplaceScroll={() => { + containerRef.current?.scrollTo({ top: containerRef.current.scrollHeight, behavior: 'smooth' }) + }} + searchPluginText={keywords} + filterPluginTags={tagFilterValue} + /> + ) + } </div> - <div className={cn( - 'relative grid content-start grid-cols-1 gap-4 px-12 pt-2 pb-4 sm:grid-cols-2 md:grid-cols-3 lg:grid-cols-4 grow shrink-0', - currentProvider && 'pr-6 sm:grid-cols-1 md:grid-cols-2 lg:grid-cols-3', - )}> - {activeTab === 'builtin' && <ContributeCard />} - {activeTab === 'api' && <CustomCreateCard onRefreshData={getProviderList} />} - {filteredCollectionList.map(collection => ( - <ProviderCard - active={currentProvider?.id === collection.id} - onSelect={() => setCurrentProvider(collection)} - key={collection.id} - collection={collection} - /> - ))} - {!filteredCollectionList.length && <div className='absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2'><Empty /></div>} - </div> - </div> - <div className={cn( - 'shrink-0 w-0 border-l-[0.5px] border-black/8 overflow-y-auto transition-all duration-200 ease-in-out', - currentProvider && 'w-[420px]', - )}> - {currentProvider && <ProviderDetail collection={currentProvider} onRefreshData={getProviderList} />} </div> - <div className='absolute top-5 right-5 p-1 cursor-pointer' onClick={() => setCurrentProvider(undefined)}><RiCloseLine className='w-4 h-4' /></div> - </div> + {currentProvider && !currentProvider.plugin_id && ( + <ProviderDetail + collection={currentProvider} + onHide={() => setCurrentProvider(undefined)} + onRefreshData={refetch} + /> + )} + <PluginDetailPanel + detail={currentPluginDetail} + onUpdate={() => invalidateInstalledPluginList()} + onHide={() => setCurrentProvider(undefined)} + /> + </> ) } ProviderList.displayName = 'ToolProviderList' diff --git a/web/app/components/tools/provider/custom-create-card.tsx b/web/app/components/tools/provider/custom-create-card.tsx index d6aa9ab533b02c..9ae1714a27ad62 100644 --- a/web/app/components/tools/provider/custom-create-card.tsx +++ b/web/app/components/tools/provider/custom-create-card.tsx @@ -45,16 +45,16 @@ const Contribute = ({ onRefreshData }: Props) => { return ( <> {isCurrentWorkspaceManager && ( - <div className='flex flex-col col-span-1 bg-gray-200 border-[0.5px] border-black/5 rounded-xl min-h-[160px] transition-all duration-200 ease-in-out cursor-pointer hover:bg-gray-50 hover:shadow-lg'> - <div className='group grow rounded-t-xl hover:bg-white' onClick={() => setIsShowEditCustomCollectionModal(true)}> + <div className='flex flex-col col-span-1 bg-components-panel-on-panel-item-bg border-[0.5px] border-divider-subtle rounded-xl min-h-[135px] transition-all duration-200 ease-in-out cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover hover:shadow-lg'> + <div className='group grow rounded-t-xl hover:bg-background-body' onClick={() => setIsShowEditCustomCollectionModal(true)}> <div className='shrink-0 flex items-center p-4 pb-3'> - <div className='w-10 h-10 flex items-center justify-center border border-gray-200 bg-gray-100 rounded-lg group-hover:border-primary-100 group-hover:bg-primary-50'> - <RiAddLine className='w-4 h-4 text-gray-500 group-hover:text-primary-600'/> + <div className='w-10 h-10 flex items-center justify-center border border-components-option-card-option-border bg-components-option-card-option-bg rounded-lg group-hover:border-components-option-card-option-border-hover group-hover:bg-components-option-card-option-bg-hover'> + <RiAddLine className='w-4 h-4 text-text-tertiary group-hover:text-text-accent'/> </div> - <div className='ml-3 text-sm font-semibold leading-5 text-gray-800 group-hover:text-primary-600'>{t('tools.createCustomTool')}</div> + <div className='ml-3 text-sm font-semibold leading-5 text-text-primary group-hover:text-text-accent'>{t('tools.createCustomTool')}</div> </div> </div> - <div className='px-4 py-3 rounded-b-xl border-t-[0.5px] border-black/5 text-gray-500 hover:text-[#155EEF] hover:bg-white'> + <div className='px-4 py-3 rounded-b-xl border-t-[0.5px] border-divider-regular text-text-tertiary hover:text-text-accent hover:bg-background-body'> <a href={linkUrl} target='_blank' rel='noopener noreferrer' className='flex items-center space-x-1'> <BookOpen01 className='shrink-0 w-3 h-3' /> <div className='grow leading-[18px] text-xs font-normal truncate' title={t('tools.customToolTip') || ''}>{t('tools.customToolTip')}</div> diff --git a/web/app/components/tools/provider/detail.tsx b/web/app/components/tools/provider/detail.tsx index 566fe4623a443d..2143ca0b39b20f 100644 --- a/web/app/components/tools/provider/detail.tsx +++ b/web/app/components/tools/provider/detail.tsx @@ -2,6 +2,9 @@ import React, { useCallback, useEffect, useState } from 'react' import { useTranslation } from 'react-i18next' import { useContext } from 'use-context-selector' +import { + RiCloseLine, +} from '@remixicon/react' import { AuthHeaderPrefix, AuthType, CollectionType } from '../types' import type { Collection, CustomCollectionBackend, Tool, WorkflowToolProviderRequest, WorkflowToolProviderResponse } from '../types' import ToolItem from './tool-item' @@ -9,14 +12,20 @@ import cn from '@/utils/classnames' import I18n from '@/context/i18n' import { getLanguage } from '@/i18n/language' import Confirm from '@/app/components/base/confirm' -import AppIcon from '@/app/components/base/app-icon' import Button from '@/app/components/base/button' import Indicator from '@/app/components/header/indicator' import { LinkExternal02, Settings01 } from '@/app/components/base/icons/src/vender/line/general' +import Icon from '@/app/components/plugins/card/base/card-icon' +import Title from '@/app/components/plugins/card/base/title' +import OrgInfo from '@/app/components/plugins/card/base/org-info' +import Description from '@/app/components/plugins/card/base/description' import ConfigCredential from '@/app/components/tools/setting/build-in/config-credentials' import EditCustomToolModal from '@/app/components/tools/edit-custom-collection-modal' import WorkflowToolModal from '@/app/components/tools/workflow-tool' import Toast from '@/app/components/base/toast' +import Drawer from '@/app/components/base/drawer' +import ActionButton from '@/app/components/base/action-button' + import { deleteWorkflowTool, fetchBuiltInToolList, @@ -35,14 +44,17 @@ import { useProviderContext } from '@/context/provider-context' import { ConfigurationMethodEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' import Loading from '@/app/components/base/loading' import { useAppContext } from '@/context/app-context' +import { useInvalidateAllWorkflowTools } from '@/service/use-tools' type Props = { collection: Collection + onHide: () => void onRefreshData: () => void } const ProviderDetail = ({ collection, + onHide, onRefreshData, }: Props) => { const { t } = useTranslation() @@ -54,7 +66,7 @@ const ProviderDetail = ({ const isBuiltIn = collection.type === CollectionType.builtIn const isModel = collection.type === CollectionType.model const { isCurrentWorkspaceManager } = useAppContext() - + const invalidateAllWorkflowTools = useInvalidateAllWorkflowTools() const [isDetailLoading, setIsDetailLoading] = useState(false) // built in provider @@ -153,6 +165,7 @@ const ProviderDetail = ({ workflow_tool_id: string }>) => { await saveWorkflowToolProvider(data) + invalidateAllWorkflowTools() onRefreshData() getWorkflowToolProvider() Toast.notify({ @@ -213,164 +226,203 @@ const ProviderDetail = ({ }, [collection.name, collection.type, getCustomProvider, getProviderToolList, getWorkflowToolProvider]) return ( - <div className='px-6 py-3'> - <div className='flex items-center py-1 gap-2'> - <div className='relative shrink-0'> - {typeof collection.icon === 'string' && ( - <div className='w-8 h-8 bg-center bg-cover bg-no-repeat rounded-md' style={{ backgroundImage: `url(${collection.icon})` }} /> - )} - {typeof collection.icon !== 'string' && ( - <AppIcon - size='small' - icon={collection.icon.content} - background={collection.icon.background} - /> - )} - </div> - <div className='grow w-0 py-[1px]'> - <div className='flex items-center text-md leading-6 font-semibold text-gray-900'> - <div className='truncate' title={collection.label[language]}>{collection.label[language]}</div> + <Drawer + isOpen={!!collection} + clickOutsideNotOpen={false} + onClose={onHide} + footer={null} + mask={false} + positionCenter={false} + panelClassname={cn('justify-start mt-[64px] mr-2 mb-2 !w-[420px] !max-w-[420px] !p-0 !bg-components-panel-bg rounded-2xl border-[0.5px] border-components-panel-border shadow-xl')} + > + <div className='p-4'> + <div className='mb-3 flex'> + <Icon src={collection.icon} /> + <div className="ml-3 w-0 grow"> + <div className="flex items-center h-5"> + <Title title={collection.label[language]} /> + </div> + <div className='mb-1 flex justify-between items-center h-4'> + <OrgInfo + className="mt-0.5" + packageNameClassName='w-auto' + orgName={collection.author} + packageName={collection.name} + /> + </div> + </div> + <div className='flex gap-1'> + <ActionButton onClick={onHide}> + <RiCloseLine className='w-4 h-4' /> + </ActionButton> </div> </div> - </div> - <div className='mt-2 min-h-[36px] text-gray-500 text-sm leading-[18px]'>{collection.description[language]}</div> - <div className='flex gap-1 border-b-[0.5px] border-black/5'> - {(collection.type === CollectionType.builtIn) && needAuth && ( - <Button - variant={isAuthed ? 'secondary' : 'primary'} - className={cn('shrink-0 my-3 w-full', isAuthed && 'bg-white')} - onClick={() => { - if (collection.type === CollectionType.builtIn || collection.type === CollectionType.model) - showSettingAuthModal() - }} - disabled={!isCurrentWorkspaceManager} - > - {isAuthed && <Indicator className='mr-2' color={'green'} />} - <div className={cn('text-white leading-[18px] text-[13px] font-medium', isAuthed && '!text-gray-700')}> - {isAuthed ? t('tools.auth.authorized') : t('tools.auth.unauthorized')} - </div> - </Button> - )} - {collection.type === CollectionType.custom && !isDetailLoading && ( - <Button - className={cn('shrink-0 my-3 w-full')} - onClick={() => setIsShowEditCustomCollectionModal(true)} - > - <Settings01 className='mr-1 w-4 h-4 text-gray-500' /> - <div className='leading-5 text-sm font-medium text-gray-700'>{t('tools.createTool.editAction')}</div> - </Button> + {!!collection.description[language] && ( + <Description text={collection.description[language]} descriptionLineRows={2}></Description> )} - {collection.type === CollectionType.workflow && !isDetailLoading && customCollection && ( - <> - <Button - variant='primary' - className={cn('shrink-0 my-3 w-[183px]')} - > - <a className='flex items-center text-white' href={`/app/${(customCollection as WorkflowToolProviderResponse).workflow_app_id}/workflow`} rel='noreferrer' target='_blank'> - <div className='leading-5 text-sm font-medium'>{t('tools.openInStudio')}</div> - <LinkExternal02 className='ml-1 w-4 h-4' /> - </a> - </Button> + <div className='flex gap-1 border-b-[0.5px] border-divider-subtle'> + {collection.type === CollectionType.custom && !isDetailLoading && ( <Button - className={cn('shrink-0 my-3 w-[183px]')} - onClick={() => setIsShowEditWorkflowToolModal(true)} - disabled={!isCurrentWorkspaceManager} + className={cn('shrink-0 my-3 w-full')} + onClick={() => setIsShowEditCustomCollectionModal(true)} > - <div className='leading-5 text-sm font-medium text-gray-700'>{t('tools.createTool.editAction')}</div> + <Settings01 className='mr-1 w-4 h-4 text-text-tertiary' /> + <div className='system-sm-medium text-text-secondary'>{t('tools.createTool.editAction')}</div> </Button> - </> - )} - </div> - {/* Tools */} - <div className='pt-3'> - {isDetailLoading && <div className='flex h-[200px]'><Loading type='app' /></div>} - {!isDetailLoading && ( - <div className='text-xs font-medium leading-6 text-gray-500'> - {collection.type === CollectionType.workflow && <span className=''>{t('tools.createTool.toolInput.title').toLocaleUpperCase()}</span>} - {collection.type !== CollectionType.workflow && <span className=''>{t('tools.includeToolNum', { num: toolList.length }).toLocaleUpperCase()}</span>} - {needAuth && (isBuiltIn || isModel) && !isAuthed && ( - <> + )} + {collection.type === CollectionType.workflow && !isDetailLoading && customCollection && ( + <> + <Button + variant='primary' + className={cn('shrink-0 my-3 w-[183px]')} + > + <a className='flex items-center text-text-primary' href={`/app/${(customCollection as WorkflowToolProviderResponse).workflow_app_id}/workflow`} rel='noreferrer' target='_blank'> + <div className='system-sm-medium'>{t('tools.openInStudio')}</div> + <LinkExternal02 className='ml-1 w-4 h-4' /> + </a> + </Button> + <Button + className={cn('shrink-0 my-3 w-[183px]')} + onClick={() => setIsShowEditWorkflowToolModal(true)} + disabled={!isCurrentWorkspaceManager} + > + <div className='system-sm-medium text-text-secondary'>{t('tools.createTool.editAction')}</div> + </Button> + </> + )} + </div> + {/* Tools */} + <div className='pt-3'> + {isDetailLoading && <div className='flex h-[200px]'><Loading type='app' /></div>} + {/* Builtin type */} + {!isDetailLoading && (collection.type === CollectionType.builtIn) && isAuthed && ( + <div className='mb-1 h-6 flex items-center justify-between text-text-secondary system-sm-semibold-uppercase'> + {t('plugin.detailPanel.actionNum', { num: toolList.length, action: toolList.length > 1 ? 'actions' : 'action' })} + {needAuth && ( + <Button + variant='secondary' + size='small' + onClick={() => { + if (collection.type === CollectionType.builtIn || collection.type === CollectionType.model) + showSettingAuthModal() + }} + disabled={!isCurrentWorkspaceManager} + > + <Indicator className='mr-2' color={'green'} /> + {t('tools.auth.authorized')} + </Button> + )} + </div> + )} + {!isDetailLoading && (collection.type === CollectionType.builtIn) && needAuth && !isAuthed && ( + <> + <div className='text-text-secondary system-sm-semibold-uppercase'> + <span className=''>{t('tools.includeToolNum', { num: toolList.length, action: toolList.length > 1 ? 'actions' : 'action' }).toLocaleUpperCase()}</span> <span className='px-1'>·</span> - <span className='text-[#DC6803]'>{t('tools.auth.setup').toLocaleUpperCase()}</span> - </> - )} - </div> - )} - {!isDetailLoading && ( - <div className='mt-1'> - {collection.type !== CollectionType.workflow && toolList.map(tool => ( - <ToolItem - key={tool.name} - disabled={needAuth && (isBuiltIn || isModel) && !isAuthed} - collection={collection} - tool={tool} - isBuiltIn={isBuiltIn} - isModel={isModel} - /> - ))} - {collection.type === CollectionType.workflow && (customCollection as WorkflowToolProviderResponse)?.tool?.parameters.map(item => ( - <div key={item.name} className='mb-2 px-4 py-3 rounded-xl bg-gray-25 border-[0.5px] border-gray-200'> - <div className='flex items-center gap-2'> - <span className='font-medium text-sm text-gray-900'>{item.name}</span> - <span className='text-xs leading-[18px] text-gray-500'>{item.type}</span> - <span className='font-medium text-xs leading-[18px] text-[#ec4a0a]'>{item.required ? t('tools.createTool.toolInput.required') : ''}</span> - </div> - <div className='h-[18px] leading-[18px] text-gray-500 text-xs'>{item.llm_description}</div> + <span className='text-util-colors-orange-orange-600'>{t('tools.auth.setup').toLocaleUpperCase()}</span> </div> - ))} - </div> + <Button + variant='primary' + className={cn('shrink-0 my-3 w-full')} + onClick={() => { + if (collection.type === CollectionType.builtIn || collection.type === CollectionType.model) + showSettingAuthModal() + }} + disabled={!isCurrentWorkspaceManager} + > + {t('tools.auth.unauthorized')} + </Button> + </> + )} + {/* Custom type */} + {!isDetailLoading && (collection.type === CollectionType.custom) && ( + <div className='text-text-secondary system-sm-semibold-uppercase'> + <span className=''>{t('tools.includeToolNum', { num: toolList.length }).toLocaleUpperCase()}</span> + </div> + )} + {/* Workflow type */} + {!isDetailLoading && (collection.type === CollectionType.workflow) && ( + <div className='text-text-secondary system-sm-semibold-uppercase'> + <span className=''>{t('tools.createTool.toolInput.title').toLocaleUpperCase()}</span> + </div> + )} + {!isDetailLoading && ( + <div className='mt-1 py-2'> + {collection.type !== CollectionType.workflow && toolList.map(tool => ( + <ToolItem + key={tool.name} + disabled={false} + // disabled={needAuth && (isBuiltIn || isModel) && !isAuthed} + collection={collection} + tool={tool} + isBuiltIn={isBuiltIn} + isModel={isModel} + /> + ))} + {collection.type === CollectionType.workflow && (customCollection as WorkflowToolProviderResponse)?.tool?.parameters.map(item => ( + <div key={item.name} className='mb-1 py-1'> + <div className='mb-1 flex items-center gap-2'> + <span className='text-text-secondary code-sm-semibold'>{item.name}</span> + <span className='text-text-tertiary system-xs-regular'>{item.type}</span> + <span className='text-text-warning-secondary system-xs-medium'>{item.required ? t('tools.createTool.toolInput.required') : ''}</span> + </div> + <div className='text-text-tertiary system-xs-regular'>{item.llm_description}</div> + </div> + ))} + </div> + )} + </div> + {showSettingAuth && ( + <ConfigCredential + collection={collection} + onCancel={() => setShowSettingAuth(false)} + onSaved={async (value) => { + await updateBuiltInToolCredential(collection.name, value) + Toast.notify({ + type: 'success', + message: t('common.api.actionSuccess'), + }) + await onRefreshData() + setShowSettingAuth(false) + }} + onRemove={async () => { + await removeBuiltInToolCredential(collection.name) + Toast.notify({ + type: 'success', + message: t('common.api.actionSuccess'), + }) + await onRefreshData() + setShowSettingAuth(false) + }} + /> + )} + {isShowEditCollectionToolModal && ( + <EditCustomToolModal + payload={customCollection} + onHide={() => setIsShowEditCustomCollectionModal(false)} + onEdit={doUpdateCustomToolCollection} + onRemove={onClickCustomToolDelete} + /> + )} + {isShowEditWorkflowToolModal && ( + <WorkflowToolModal + payload={customCollection} + onHide={() => setIsShowEditWorkflowToolModal(false)} + onRemove={onClickWorkflowToolDelete} + onSave={updateWorkflowToolProvider} + /> + )} + {showConfirmDelete && ( + <Confirm + title={t('tools.createTool.deleteToolConfirmTitle')} + content={t('tools.createTool.deleteToolConfirmContent')} + isShow={showConfirmDelete} + onConfirm={handleConfirmDelete} + onCancel={() => setShowConfirmDelete(false)} + /> )} </div> - {showSettingAuth && ( - <ConfigCredential - collection={collection} - onCancel={() => setShowSettingAuth(false)} - onSaved={async (value) => { - await updateBuiltInToolCredential(collection.name, value) - Toast.notify({ - type: 'success', - message: t('common.api.actionSuccess'), - }) - await onRefreshData() - setShowSettingAuth(false) - }} - onRemove={async () => { - await removeBuiltInToolCredential(collection.name) - Toast.notify({ - type: 'success', - message: t('common.api.actionSuccess'), - }) - await onRefreshData() - setShowSettingAuth(false) - }} - /> - )} - {isShowEditCollectionToolModal && ( - <EditCustomToolModal - payload={customCollection} - onHide={() => setIsShowEditCustomCollectionModal(false)} - onEdit={doUpdateCustomToolCollection} - onRemove={onClickCustomToolDelete} - /> - )} - {isShowEditWorkflowToolModal && ( - <WorkflowToolModal - payload={customCollection} - onHide={() => setIsShowEditWorkflowToolModal(false)} - onRemove={onClickWorkflowToolDelete} - onSave={updateWorkflowToolProvider} - /> - )} - {showConfirmDelete && ( - <Confirm - title={t('tools.createTool.deleteToolConfirmTitle')} - content={t('tools.createTool.deleteToolConfirmContent')} - isShow={showConfirmDelete} - onConfirm={handleConfirmDelete} - onCancel={() => setShowConfirmDelete(false)} - /> - )} - </div> + </Drawer> ) } export default ProviderDetail diff --git a/web/app/components/tools/provider/tool-item.tsx b/web/app/components/tools/provider/tool-item.tsx index 2133f9221ab595..89bb779f6ac10a 100644 --- a/web/app/components/tools/provider/tool-item.tsx +++ b/web/app/components/tools/provider/tool-item.tsx @@ -29,14 +29,15 @@ const ToolItem = ({ return ( <> <div - className={cn('mb-2 px-4 py-3 rounded-xl bg-gray-25 border-[0.5px] border-gary-200 shadow-xs cursor-pointer', disabled && 'opacity-50 !cursor-not-allowed')} + className={cn('mb-2 px-4 py-3 bg-components-panel-item-bg rounded-xl border-[0.5px] border-components-panel-border-subtle shadow-xs cursor-pointer hover:bg-components-panel-on-panel-item-bg-hover', disabled && 'opacity-50 !cursor-not-allowed')} onClick={() => !disabled && setShowDetail(true)} > - <div className='text-gray-800 font-semibold text-sm leading-5'>{tool.label[language]}</div> - <div className='mt-0.5 text-xs leading-[18px] text-gray-500 line-clamp-2' title={tool.description[language]}>{tool.description[language]}</div> + <div className='pb-0.5 text-text-secondary system-md-semibold'>{tool.label[language]}</div> + <div className='text-text-tertiary system-xs-regular line-clamp-2' title={tool.description[language]}>{tool.description[language]}</div> </div> {showDetail && ( <SettingBuiltInTool + showBackButton collection={collection} toolName={tool.name} readonly diff --git a/web/app/components/tools/setting/build-in/config-credentials.tsx b/web/app/components/tools/setting/build-in/config-credentials.tsx index 23ef867feb7684..3d083b8d588379 100644 --- a/web/app/components/tools/setting/build-in/config-credentials.tsx +++ b/web/app/components/tools/setting/build-in/config-credentials.tsx @@ -20,6 +20,7 @@ type Props = { onSaved: (value: Record<string, any>) => void isHideRemoveBtn?: boolean onRemove?: () => void + isSaving?: boolean } const ConfigCredential: FC<Props> = ({ @@ -28,12 +29,14 @@ const ConfigCredential: FC<Props> = ({ onSaved, isHideRemoveBtn, onRemove = () => { }, + isSaving, }) => { const { t } = useTranslation() const language = useLanguage() const [credentialSchema, setCredentialSchema] = useState<any>(null) const { name: collectionName } = collection const [tempCredential, setTempCredential] = React.useState<any>({}) + const [isLoading, setIsLoading] = React.useState(false) useEffect(() => { fetchBuiltInToolCredentialSchema(collectionName).then(async (res) => { const toolCredentialSchemas = toolCredentialToFormSchemas(res) @@ -45,14 +48,21 @@ const ConfigCredential: FC<Props> = ({ }) }, []) - const handleSave = () => { + const handleSave = async () => { for (const field of credentialSchema) { if (field.required && !tempCredential[field.name]) { Toast.notify({ type: 'error', message: t('common.errorMsg.fieldRequired', { field: field.label[language] || field.label.en_US }) }) return } } - onSaved(tempCredential) + setIsLoading(true) + try { + await onSaved(tempCredential) + setIsLoading(false) + } + finally { + setIsLoading(false) + } } return ( @@ -61,11 +71,11 @@ const ConfigCredential: FC<Props> = ({ onHide={onCancel} title={t('tools.auth.setupModalTitle') as string} titleDescription={t('tools.auth.setupModalTitleDescription') as string} - panelClassName='mt-2 !w-[405px]' - maxWidthClassName='!max-w-[405px]' - height='calc(100vh - 16px)' - contentClassName='!bg-gray-100' - headerClassName='!border-b-black/5' + panelClassName='mt-[64px] mb-2 !w-[420px] border-components-panel-border' + maxWidthClassName='!max-w-[420px]' + height='calc(100vh - 64px)' + contentClassName='!bg-components-panel-bg' + headerClassName='!border-b-divider-subtle' body={ <div className='px-6 py-3 h-full'> @@ -82,12 +92,12 @@ const ConfigCredential: FC<Props> = ({ isEditMode={true} showOnVariableMap={{}} validating={false} - inputClassName='!bg-gray-50' + inputClassName='!bg-components-input-bg-normal' fieldMoreInfo={item => item.url ? (<a href={item.url} target='_blank' rel='noopener noreferrer' - className='inline-flex items-center text-xs text-primary-600' + className='inline-flex items-center text-xs text-text-accent' > {t('tools.howToGet')} <LinkExternal02 className='ml-1 w-3 h-3' /> @@ -102,7 +112,7 @@ const ConfigCredential: FC<Props> = ({ } < div className='flex space-x-2'> <Button onClick={onCancel}>{t('common.operation.cancel')}</Button> - <Button variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button> + <Button loading={isLoading || isSaving} disabled={isLoading || isSaving} variant='primary' onClick={handleSave}>{t('common.operation.save')}</Button> </div> </div> </> diff --git a/web/app/components/tools/types.ts b/web/app/components/tools/types.ts index f2784e9dfe9557..32c468cde84321 100644 --- a/web/app/components/tools/types.ts +++ b/web/app/components/tools/types.ts @@ -1,4 +1,5 @@ import type { TypeWithI18N } from '../header/account-setting/model-provider-page/declarations' + export enum LOC { tools = 'tools', app = 'app', @@ -16,10 +17,10 @@ export enum AuthHeaderPrefix { } export type Credential = { - 'auth_type': AuthType - 'api_key_header'?: string - 'api_key_value'?: string - 'api_key_header_prefix'?: AuthHeaderPrefix + auth_type: AuthType + api_key_header?: string + api_key_value?: string + api_key_header_prefix?: AuthHeaderPrefix } export enum CollectionType { @@ -47,6 +48,8 @@ export type Collection = { is_team_authorization: boolean allow_delete: boolean labels: string[] + plugin_id?: string + letter?: string } export type ToolParameter = { @@ -66,6 +69,7 @@ export type ToolParameter = { max?: number } +// Action export type Tool = { name: string author: string @@ -73,12 +77,13 @@ export type Tool = { description: any parameters: ToolParameter[] labels: string[] + output_schema: Record<string, any> } export type ToolCredential = { name: string label: TypeWithI18N - help: TypeWithI18N + help: TypeWithI18N | null placeholder: TypeWithI18N type: string required: boolean diff --git a/web/app/components/tools/utils/to-form-schema.ts b/web/app/components/tools/utils/to-form-schema.ts index 4e83248c9bf2e6..6dc51e16ade07b 100644 --- a/web/app/components/tools/utils/to-form-schema.ts +++ b/web/app/components/tools/utils/to-form-schema.ts @@ -1,5 +1,5 @@ import type { ToolCredential, ToolParameter } from '../types' -const toType = (type: string) => { +export const toType = (type: string) => { switch (type) { case 'string': return 'text-input' @@ -63,3 +63,34 @@ export const addDefaultValue = (value: Record<string, any>, formSchemas: { varia }) return newValues } + +export const generateFormValue = (value: Record<string, any>, formSchemas: { variable: string; default?: any }[], isReasoning = false) => { + const newValues = {} as any + formSchemas.forEach((formSchema) => { + const itemValue = value[formSchema.variable] + if ((formSchema.default !== undefined) && (value === undefined || itemValue === null || itemValue === '' || itemValue === undefined)) { + newValues[formSchema.variable] = { + ...(isReasoning ? { value: null, auto: 1 } : { value: formSchema.default }), + } + } + }) + return newValues +} + +export const getPlainValue = (value: Record<string, any>) => { + const plainValue = { ...value } as any + Object.keys(plainValue).forEach((key) => { + plainValue[key] = value[key].value + }) + return plainValue +} + +export const getStructureValue = (value: Record<string, any>) => { + const newValue = { ...value } as any + Object.keys(newValue).forEach((key) => { + newValue[key] = { + value: value[key], + } + }) + return newValue +} diff --git a/web/app/components/tools/workflow-tool/configure-button.tsx b/web/app/components/tools/workflow-tool/configure-button.tsx index 6521410daea017..0d97619e0d4ac2 100644 --- a/web/app/components/tools/workflow-tool/configure-button.tsx +++ b/web/app/components/tools/workflow-tool/configure-button.tsx @@ -14,6 +14,7 @@ import { createWorkflowToolProvider, fetchWorkflowToolDetailByAppID, saveWorkflo import type { Emoji, WorkflowToolProviderParameter, WorkflowToolProviderRequest, WorkflowToolProviderResponse } from '@/app/components/tools/types' import type { InputVar } from '@/app/components/workflow/types' import { useAppContext } from '@/context/app-context' +import { useInvalidateAllWorkflowTools } from '@/service/use-tools' type Props = { disabled: boolean @@ -46,6 +47,7 @@ const WorkflowToolConfigureButton = ({ const [isLoading, setIsLoading] = useState(false) const [detail, setDetail] = useState<WorkflowToolProviderResponse>() const { isCurrentWorkspaceManager } = useAppContext() + const invalidateAllWorkflowTools = useInvalidateAllWorkflowTools() const outdated = useMemo(() => { if (!detail) @@ -135,6 +137,7 @@ const WorkflowToolConfigureButton = ({ const createHandle = async (data: WorkflowToolProviderRequest & { workflow_app_id: string }) => { try { await createWorkflowToolProvider(data) + invalidateAllWorkflowTools() onRefreshData?.() getDetail(workflowAppId) Toast.notify({ @@ -156,6 +159,7 @@ const WorkflowToolConfigureButton = ({ await handlePublish() await saveWorkflowToolProvider(data) onRefreshData?.() + invalidateAllWorkflowTools() getDetail(workflowAppId) Toast.notify({ type: 'success', @@ -170,35 +174,35 @@ const WorkflowToolConfigureButton = ({ return ( <> - <div className='mt-2 pt-2 border-t-[0.5px] border-t-black/5'> + <div className='mt-2 pt-2 border-t-[0.5px] border-divider-regular'> {(!published || !isLoading) && ( <div className={cn( - 'group bg-gray-100 rounded-lg transition-colors', + 'group bg-background-section-burn rounded-lg transition-colors', disabled ? 'shadow-xs opacity-30 cursor-not-allowed' : 'cursor-pointer', !published && 'hover:bg-primary-50', )}> {isCurrentWorkspaceManager ? ( <div - className='flex justify-start items-center gap-2 px-2.5 py-2' + className='flex justify-start items-center text-text-primary gap-2 px-2.5 py-2' onClick={() => !published && setShowModal(true)} > <Tools className={cn('relative w-4 h-4', !published && 'group-hover:text-primary-600')} /> <div title={t('workflow.common.workflowAsTool') || ''} className={cn('grow shrink basis-0 text-[13px] font-medium leading-[18px] truncate', !published && 'group-hover:text-primary-600')}>{t('workflow.common.workflowAsTool')}</div> {!published && ( - <span className='shrink-0 px-1 border border-black/8 rounded-[5px] bg-white text-[10px] font-medium leading-[18px] text-gray-500'>{t('workflow.common.configureRequired').toLocaleUpperCase()}</span> + <span className='shrink-0 px-1 border border-divider-regular rounded-[5px] bg-background-default-subtle text-[10px] font-medium leading-[18px] text-text-tertiary'>{t('workflow.common.configureRequired').toLocaleUpperCase()}</span> )} </div>) : ( <div className='flex justify-start items-center gap-2 px-2.5 py-2' > - <Tools className='w-4 h-4 text-gray-500' /> - <div title={t('workflow.common.workflowAsTool') || ''} className='grow shrink basis-0 text-[13px] font-medium leading-[18px] truncate text-gray-500'>{t('workflow.common.workflowAsTool')}</div> + <Tools className='w-4 h-4 text-text-tertiary' /> + <div title={t('workflow.common.workflowAsTool') || ''} className='grow shrink basis-0 text-[13px] font-medium leading-[18px] truncate text-text-tertiary'>{t('workflow.common.workflowAsTool')}</div> </div> )} {published && ( - <div className='px-2.5 py-2 border-t-[0.5px] border-black/5'> + <div className='px-2.5 py-2 border-t-[0.5px] border-divider-regular'> <div className='flex justify-between'> <Button size='small' diff --git a/web/app/components/tools/workflow-tool/confirm-modal/index.tsx b/web/app/components/tools/workflow-tool/confirm-modal/index.tsx index 4c712790a199fc..21ebe8c119523d 100644 --- a/web/app/components/tools/workflow-tool/confirm-modal/index.tsx +++ b/web/app/components/tools/workflow-tool/confirm-modal/index.tsx @@ -2,7 +2,6 @@ import { useTranslation } from 'react-i18next' import { RiCloseLine } from '@remixicon/react' -import s from './style.module.css' import cn from '@/utils/classnames' import Button from '@/app/components/base/button' import Modal from '@/app/components/base/modal' @@ -19,24 +18,24 @@ const ConfirmModal = ({ show, onConfirm, onClose }: ConfirmModalProps) => { return ( <Modal - className={cn('p-8 max-w-[600px] w-[600px]', s.bg)} + className={cn('p-8 max-w-[600px] w-[600px]')} isShow={show} onClose={() => { }} > <div className='absolute right-4 top-4 p-2 cursor-pointer' onClick={onClose}> - <RiCloseLine className='w-4 h-4 text-gray-500' /> + <RiCloseLine className='w-4 h-4 text-text-tertiary' /> </div> - <div className='w-12 h-12 p-3 bg-white rounded-xl border-[0.5px] border-gray-100 shadow-xl'> + <div className='w-12 h-12 p-3 bg-background-section rounded-xl border-[0.5px] border-divider-regular shadow-xl'> <AlertTriangle className='w-6 h-6 text-[rgb(247,144,9)]' /> </div> - <div className='relative mt-3 text-xl font-semibold leading-[30px] text-gray-900'>{t('tools.createTool.confirmTitle')}</div> - <div className='my-1 text-gray-500 text-sm leading-5'> + <div className='relative mt-3 text-xl font-semibold leading-[30px] text-text-primary'>{t('tools.createTool.confirmTitle')}</div> + <div className='my-1 text-text-tertiary text-sm leading-5'> {t('tools.createTool.confirmTip')} </div> <div className='pt-6 flex justify-end items-center'> <div className='flex items-center'> <Button className='mr-2' onClick={onClose}>{t('common.operation.cancel')}</Button> - <Button className='border-red-700' variant="warning" onClick={onConfirm}>{t('common.operation.confirm')}</Button> + <Button variant="warning" onClick={onConfirm}>{t('common.operation.confirm')}</Button> </div> </div> </Modal> diff --git a/web/app/components/tools/workflow-tool/confirm-modal/style.module.css b/web/app/components/tools/workflow-tool/confirm-modal/style.module.css deleted file mode 100644 index 14367ec5759e41..00000000000000 --- a/web/app/components/tools/workflow-tool/confirm-modal/style.module.css +++ /dev/null @@ -1,3 +0,0 @@ -.bg { - background: linear-gradient(180deg, rgba(247, 144, 9, 0.05) 0%, rgba(247, 144, 9, 0.00) 24.41%), #F9FAFB; -} diff --git a/web/app/components/tools/workflow-tool/index.tsx b/web/app/components/tools/workflow-tool/index.tsx index c4d7424538eff1..c4eb07dfe64e9f 100644 --- a/web/app/components/tools/workflow-tool/index.tsx +++ b/web/app/components/tools/workflow-tool/index.tsx @@ -39,7 +39,7 @@ const WorkflowToolAsModal: FC<Props> = ({ }) => { const { t } = useTranslation() - const [showEmojiPicker, setShowEmojiPicker] = useState<Boolean>(false) + const [showEmojiPicker, setShowEmojiPicker] = useState<boolean>(false) const [emoji, setEmoji] = useState<Emoji>(payload.icon) const [label, setLabel] = useState<string>(payload.label) const [name, setName] = useState(payload.name) @@ -124,13 +124,13 @@ const WorkflowToolAsModal: FC<Props> = ({ panelClassName='mt-2 !w-[640px]' maxWidthClassName='!max-w-[640px]' height='calc(100vh - 16px)' - headerClassName='!border-b-black/5' + headerClassName='!border-b-divider' body={ <div className='flex flex-col h-full'> <div className='grow h-0 overflow-y-auto px-6 py-3 space-y-4'> {/* name & icon */} <div> - <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.name')} <span className='ml-1 text-red-500'>*</span></div> <div className='flex items-center justify-between gap-3'> <AppIcon size='large' onClick={() => { setShowEmojiPicker(true) }} className='cursor-pointer' iconType='emoji' icon={emoji.content} background={emoji.background} /> <Input @@ -143,7 +143,7 @@ const WorkflowToolAsModal: FC<Props> = ({ </div> {/* name for tool call */} <div> - <div className='flex items-center py-2 leading-5 text-sm font-medium text-gray-900'> + <div className='flex items-center py-2 system-sm-medium text-text-primary'> {t('tools.createTool.nameForToolCall')} <span className='ml-1 text-red-500'>*</span> <Tooltip popupContent={ @@ -165,7 +165,7 @@ const WorkflowToolAsModal: FC<Props> = ({ </div> {/* description */} <div> - <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.description')}</div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.description')}</div> <Textarea placeholder={t('tools.createTool.descriptionPlaceholder') || ''} value={description} @@ -174,11 +174,11 @@ const WorkflowToolAsModal: FC<Props> = ({ </div> {/* Tool Input */} <div> - <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.toolInput.title')}</div> - <div className='rounded-lg border border-gray-200 w-full overflow-x-auto'> - <table className='w-full leading-[18px] text-xs text-gray-700 font-normal'> - <thead className='text-gray-500 uppercase'> - <tr className='border-b border-gray-200'> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.title')}</div> + <div className='rounded-lg border border-divider-regular w-full overflow-x-auto'> + <table className='w-full leading-[18px] text-xs text-text-secondary font-normal'> + <thead className='text-text-tertiary uppercase'> + <tr className='border-b border-divider-regular'> <th className="p-2 pl-3 font-medium w-[156px]">{t('tools.createTool.toolInput.name')}</th> <th className="p-2 pl-3 font-medium w-[102px]">{t('tools.createTool.toolInput.method')}</th> <th className="p-2 pl-3 font-medium">{t('tools.createTool.toolInput.description')}</th> @@ -186,22 +186,22 @@ const WorkflowToolAsModal: FC<Props> = ({ </thead> <tbody> {parameters.map((item, index) => ( - <tr key={index} className='border-b last:border-0 border-gray-200'> + <tr key={index} className='border-b last:border-0 border-divider-regular'> <td className="p-2 pl-3 max-w-[156px]"> <div className='text-[13px] leading-[18px]'> <div title={item.name} className='flex'> - <span className='font-medium text-gray-900 truncate'>{item.name}</span> + <span className='font-medium text-text-primary truncate'>{item.name}</span> <span className='shrink-0 pl-1 text-[#ec4a0a] text-xs leading-[18px]'>{item.required ? t('tools.createTool.toolInput.required') : ''}</span> </div> - <div className='text-gray-500'>{item.type}</div> + <div className='text-text-tertiary'>{item.type}</div> </div> </td> <td> {item.name === '__image' && ( <div className={cn( - 'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-white cursor-default', + 'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-transparent cursor-default', )}> - <div className={cn('grow text-[13px] leading-[18px] text-gray-700 truncate')}> + <div className={cn('grow text-[13px] leading-[18px] text-text-secondary truncate')}> {t('tools.createTool.toolInput.methodParameter')} </div> </div> @@ -210,10 +210,10 @@ const WorkflowToolAsModal: FC<Props> = ({ <MethodSelector value={item.form} onChange={value => handleParameterChange('form', value, index)} /> )} </td> - <td className="p-2 pl-3 text-gray-500 w-[236px]"> + <td className="p-2 pl-3 text-text-tertiary w-[236px]"> <input type='text' - className='grow text-gray-700 text-[13px] leading-[18px] font-normal bg-white outline-none appearance-none caret-primary-600 placeholder:text-gray-300' + className='w-full text-text-secondary text-[13px] leading-[18px] font-normal bg-transparent outline-none appearance-none caret-primary-600 placeholder:text-text-quaternary' placeholder={t('tools.createTool.toolInput.descriptionPlaceholder')!} value={item.description} onChange={e => handleParameterChange('description', e.target.value, index)} @@ -227,12 +227,12 @@ const WorkflowToolAsModal: FC<Props> = ({ </div> {/* Tags */} <div> - <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.toolInput.label')}</div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.toolInput.label')}</div> <LabelSelector value={labels} onChange={handleLabelSelect} /> </div> {/* Privacy Policy */} <div> - <div className='py-2 leading-5 text-sm font-medium text-gray-900'>{t('tools.createTool.privacyPolicy')}</div> + <div className='py-2 system-sm-medium text-text-primary'>{t('tools.createTool.privacyPolicy')}</div> <Input className='h-10' value={privacyPolicy} @@ -240,9 +240,9 @@ const WorkflowToolAsModal: FC<Props> = ({ placeholder={t('tools.createTool.privacyPolicyPlaceholder') || ''} /> </div> </div> - <div className={cn((!isAdd && onRemove) ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-gray-50 border-t border-black/5')} > + <div className={cn((!isAdd && onRemove) ? 'justify-between' : 'justify-end', 'mt-2 shrink-0 flex py-4 px-6 rounded-b-[10px] bg-background-section-burn border-t border-divider-regular')} > {!isAdd && onRemove && ( - <Button onClick={onRemove} className='text-red-500 border-red-50 hover:border-red-500'>{t('common.operation.delete')}</Button> + <Button variant='warning' onClick={onRemove}>{t('common.operation.delete')}</Button> )} <div className='flex space-x-2 '> <Button onClick={onHide}>{t('common.operation.cancel')}</Button> diff --git a/web/app/components/tools/workflow-tool/method-selector.tsx b/web/app/components/tools/workflow-tool/method-selector.tsx index 1f11430570e038..895fb18706259d 100644 --- a/web/app/components/tools/workflow-tool/method-selector.tsx +++ b/web/app/components/tools/workflow-tool/method-selector.tsx @@ -34,37 +34,37 @@ const MethodSelector: FC<MethodSelectorProps> = ({ className='block' > <div className={cn( - 'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-white cursor-pointer hover:bg-gray-100', - open && '!bg-gray-100 hover:bg-gray-100', + 'flex items-center gap-1 min-h-[56px] px-3 py-2 h-9 bg-transparent cursor-pointer hover:bg-background-section-burn', + open && '!bg-background-section-burn hover:bg-background-section-burn', )}> - <div className={cn('grow text-[13px] leading-[18px] text-gray-700 truncate')}> + <div className={cn('grow text-[13px] leading-[18px] text-text-secondary truncate')}> {value === 'llm' ? t('tools.createTool.toolInput.methodParameter') : t('tools.createTool.toolInput.methodSetting')} </div> - <div className='shrink-0 ml-1 text-gray-700 opacity-60'> + <div className='shrink-0 ml-1 text-text-secondary opacity-60'> <RiArrowDownSLine className='h-4 w-4' /> </div> </div> </PortalToFollowElemTrigger> <PortalToFollowElemContent className='z-[1040]'> - <div className='relative w-[320px] bg-white rounded-lg border-[0.5px] border-gray-200 shadow-lg'> + <div className='relative w-[320px] bg-components-panel-bg-blur backdrop-blur-sm rounded-lg border-[0.5px] border-components-panel-border shadow-lg'> <div className='p-1'> - <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => onChange('llm')}> + <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-components-panel-on-panel-item-bg-hover cursor-pointer' onClick={() => onChange('llm')}> <div className='flex item-center gap-1'> <div className='shrink-0 w-4 h-4'> - {value === 'llm' && <Check className='shrink-0 w-4 h-4 text-primary-600' />} + {value === 'llm' && <Check className='shrink-0 w-4 h-4 text-text-accent' />} </div> - <div className='text-[13px] text-gray-700 font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodParameter')}</div> + <div className='text-[13px] text-text-secondary font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodParameter')}</div> </div> - <div className='pl-5 text-gray-500 text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodParameterTip')}</div> + <div className='pl-5 text-text-tertiary text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodParameterTip')}</div> </div> - <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-gray-50 cursor-pointer' onClick={() => onChange('form')}> + <div className='pl-3 pr-2 py-2.5 rounded-lg hover:bg-components-panel-on-panel-item-bg-hover cursor-pointer' onClick={() => onChange('form')}> <div className='flex item-center gap-1'> <div className='shrink-0 w-4 h-4'> - {value === 'form' && <Check className='shrink-0 w-4 h-4 text-primary-600' />} + {value === 'form' && <Check className='shrink-0 w-4 h-4 text-text-accent' />} </div> - <div className='text-[13px] text-gray-700 font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodSetting')}</div> + <div className='text-[13px] text-text-secondary font-medium leading-[18px]'>{t('tools.createTool.toolInput.methodSetting')}</div> </div> - <div className='pl-5 text-gray-500 text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodSettingTip')}</div> + <div className='pl-5 text-text-tertiary text-[13px] leading-[18px]'>{t('tools.createTool.toolInput.methodSettingTip')}</div> </div> </div> </div> diff --git a/web/app/components/workflow/block-icon.tsx b/web/app/components/workflow/block-icon.tsx index 1001e981c597eb..7f7aeca0920963 100644 --- a/web/app/components/workflow/block-icon.tsx +++ b/web/app/components/workflow/block-icon.tsx @@ -2,6 +2,7 @@ import type { FC } from 'react' import { memo } from 'react' import { BlockEnum } from './types' import { + Agent, Answer, Assigner, Code, @@ -53,6 +54,7 @@ const getIcon = (type: BlockEnum, className: string) => { [BlockEnum.ParameterExtractor]: <ParameterExtractor className={className} />, [BlockEnum.DocExtractor]: <DocsExtractor className={className} />, [BlockEnum.ListFilter]: <ListFilter className={className} />, + [BlockEnum.Agent]: <Agent className={className} />, }[type] } const ICON_CONTAINER_BG_COLOR_MAP: Record<string, string> = { @@ -73,6 +75,7 @@ const ICON_CONTAINER_BG_COLOR_MAP: Record<string, string> = { [BlockEnum.ParameterExtractor]: 'bg-util-colors-blue-blue-500', [BlockEnum.DocExtractor]: 'bg-util-colors-green-green-500', [BlockEnum.ListFilter]: 'bg-util-colors-cyan-cyan-500', + [BlockEnum.Agent]: 'bg-util-colors-indigo-indigo-500', } const BlockIcon: FC<BlockIconProps> = ({ type, diff --git a/web/app/components/workflow/block-selector/all-tools.tsx b/web/app/components/workflow/block-selector/all-tools.tsx index aaa381125133da..6f287e2f4fa523 100644 --- a/web/app/components/workflow/block-selector/all-tools.tsx +++ b/web/app/components/workflow/block-selector/all-tools.tsx @@ -1,35 +1,61 @@ import { + useEffect, useMemo, + useRef, useState, } from 'react' import type { OnSelectBlock, ToolWithProvider, } from '../types' -import { useStore } from '../store' +import type { ToolValue } from './types' import { ToolTypeEnum } from './types' import Tools from './tools' import { useToolTabs } from './hooks' +import ViewTypeSelect, { ViewType } from './view-type-select' import cn from '@/utils/classnames' +import { useGetLanguage } from '@/context/i18n' +import PluginList from '@/app/components/workflow/block-selector/market-place-plugin/list' +import ActionButton from '../../base/action-button' +import { RiAddLine } from '@remixicon/react' +import { PluginType } from '../../plugins/types' +import { useMarketplacePlugins } from '../../plugins/marketplace/hooks' type AllToolsProps = { + className?: string + toolContentClassName?: string searchText: string + tags: string[] + buildInTools: ToolWithProvider[] + customTools: ToolWithProvider[] + workflowTools: ToolWithProvider[] onSelect: OnSelectBlock + supportAddCustomTool?: boolean + onAddedCustomTool?: () => void + onShowAddCustomCollectionModal?: () => void + selectedTools?: ToolValue[] } const AllTools = ({ + className, + toolContentClassName, searchText, + tags = [], onSelect, + buildInTools, + workflowTools, + customTools, + supportAddCustomTool, + onShowAddCustomCollectionModal, + selectedTools, }: AllToolsProps) => { + const language = useGetLanguage() const tabs = useToolTabs() const [activeTab, setActiveTab] = useState(ToolTypeEnum.All) - const buildInTools = useStore(s => s.buildInTools) - const customTools = useStore(s => s.customTools) - const workflowTools = useStore(s => s.workflowTools) - + const [activeView, setActiveView] = useState<ViewType>(ViewType.flat) + const hasFilter = searchText || tags.length > 0 const isMatchingKeywords = (text: string, keywords: string) => { return text.toLowerCase().includes(keywords.toLowerCase()) } - const tools = useMemo(() => { let mergedTools: ToolWithProvider[] = [] if (activeTab === ToolTypeEnum.All) @@ -41,39 +67,91 @@ const AllTools = ({ if (activeTab === ToolTypeEnum.Workflow) mergedTools = workflowTools + if (!hasFilter) + return mergedTools.filter(toolWithProvider => toolWithProvider.tools.length > 0) + return mergedTools.filter((toolWithProvider) => { - return isMatchingKeywords(toolWithProvider.name, searchText) - || toolWithProvider.tools.some((tool) => { - return Object.values(tool.label).some((label) => { - return isMatchingKeywords(label, searchText) - }) - }) + return isMatchingKeywords(toolWithProvider.name, searchText) || toolWithProvider.tools.some((tool) => { + return tool.label[language].toLowerCase().includes(searchText.toLowerCase()) || tool.name.toLowerCase().includes(searchText.toLowerCase()) + }) }) - }, [activeTab, buildInTools, customTools, workflowTools, searchText]) + }, [activeTab, buildInTools, customTools, workflowTools, searchText, language, hasFilter]) + + const { + queryPluginsWithDebounced: fetchPlugins, + plugins: notInstalledPlugins = [], + } = useMarketplacePlugins() + + useEffect(() => { + if (searchText || tags.length > 0) { + fetchPlugins({ + query: searchText, + tags, + category: PluginType.tool, + }) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [searchText, tags]) + + const pluginRef = useRef(null) + const wrapElemRef = useRef<HTMLDivElement>(null) + return ( - <div> - <div className='flex items-center px-3 h-8 space-x-1 bg-background-default-hover border-b-[0.5px] border-divider-subtle shadow-xs'> - { - tabs.map(tab => ( - <div - className={cn( - 'flex items-center px-2 h-6 rounded-md hover:bg-state-base-hover-alt cursor-pointer', - 'system-xs-medium text-text-tertiary', - activeTab === tab.key && 'system-xs-semibold bg-state-base-hover-alt text-text-primary', - )} - key={tab.key} - onClick={() => setActiveTab(tab.key)} + <div className={cn(className)}> + <div className='flex items-center justify-between px-3 bg-background-default-hover border-b-[0.5px] border-divider-subtle shadow-xs'> + <div className='flex items-center h-8 space-x-1'> + { + tabs.map(tab => ( + <div + className={cn( + 'flex items-center px-2 h-6 rounded-md hover:bg-state-base-hover cursor-pointer', + 'text-xs font-medium text-text-secondary', + activeTab === tab.key && 'bg-state-base-hover-alt', + )} + key={tab.key} + onClick={() => setActiveTab(tab.key)} + > + {tab.name} + </div> + )) + } + </div> + <ViewTypeSelect viewType={activeView} onChange={setActiveView} /> + {supportAddCustomTool && ( + <div className='flex items-center'> + <div className='mr-1.5 w-px h-3.5 bg-divider-regular'></div> + <ActionButton + className='bg-components-button-primary-bg hover:bg-components-button-primary-bg text-components-button-primary-text hover:text-components-button-primary-text' + onClick={onShowAddCustomCollectionModal} > - {tab.name} - </div> - )) - } + <RiAddLine className='w-4 h-4' /> + </ActionButton> + </div> + )} + </div> + <div + ref={wrapElemRef} + className='max-h-[464px] overflow-y-auto' + onScroll={(pluginRef.current as any)?.handleScroll} + > + <Tools + className={toolContentClassName} + showWorkflowEmpty={activeTab === ToolTypeEnum.Workflow} + tools={tools} + onSelect={onSelect} + viewType={activeView} + hasSearchText={!!searchText} + selectedTools={selectedTools} + /> + {/* Plugins from marketplace */} + <PluginList + wrapElemRef={wrapElemRef} + list={notInstalledPlugins as any} ref={pluginRef} + searchText={searchText} + toolContentClassName={toolContentClassName} + tags={tags} + /> </div> - <Tools - showWorkflowEmpty={activeTab === ToolTypeEnum.Workflow} - tools={tools} - onSelect={onSelect} - /> </div> ) } diff --git a/web/app/components/workflow/block-selector/constants.tsx b/web/app/components/workflow/block-selector/constants.tsx index 28492884042de0..798e7ae3c50464 100644 --- a/web/app/components/workflow/block-selector/constants.tsx +++ b/web/app/components/workflow/block-selector/constants.tsx @@ -84,6 +84,11 @@ export const BLOCKS: Block[] = [ type: BlockEnum.ListFilter, title: 'List Filter', }, + { + classification: BlockClassificationEnum.Default, + type: BlockEnum.Agent, + title: 'Agent', + }, ] export const BLOCK_CLASSIFICATIONS: string[] = [ diff --git a/web/app/components/workflow/block-selector/hooks.ts b/web/app/components/workflow/block-selector/hooks.ts index 592954afa327d9..a8b1759506368b 100644 --- a/web/app/components/workflow/block-selector/hooks.ts +++ b/web/app/components/workflow/block-selector/hooks.ts @@ -41,7 +41,7 @@ export const useToolTabs = () => { }, { key: ToolTypeEnum.BuiltIn, - name: t('workflow.tabs.builtInTool'), + name: t('workflow.tabs.plugin'), }, { key: ToolTypeEnum.Custom, diff --git a/web/app/components/workflow/block-selector/index-bar.tsx b/web/app/components/workflow/block-selector/index-bar.tsx index 2a4cbad432314c..8d4b3de10ecfe8 100644 --- a/web/app/components/workflow/block-selector/index-bar.tsx +++ b/web/app/components/workflow/block-selector/index-bar.tsx @@ -1,8 +1,29 @@ import { pinyin } from 'pinyin-pro' import type { FC, RefObject } from 'react' +import type { ToolWithProvider } from '../types' +import { CollectionType } from '../../tools/types' +import classNames from '@/utils/classnames' -export const groupItems = (items: Array<any>, getFirstChar: (item: string) => string) => { - const groups = items.reduce((acc, item) => { +export const CUSTOM_GROUP_NAME = '@@@custom@@@' +export const WORKFLOW_GROUP_NAME = '@@@workflow@@@' +export const AGENT_GROUP_NAME = '@@@agent@@@' +/* +{ + A: { + 'google': [ // plugin organize name + ...tools + ], + 'custom': [ // custom tools + ...tools + ], + 'workflow': [ // workflow as tools + ...tools + ] + } +} +*/ +export const groupItems = (items: ToolWithProvider[], getFirstChar: (item: ToolWithProvider) => string) => { + const groups = items.reduce((acc: Record<string, Record<string, ToolWithProvider[]>>, item) => { const firstChar = getFirstChar(item) if (!firstChar || firstChar.length === 0) return acc @@ -19,9 +40,23 @@ export const groupItems = (items: Array<any>, getFirstChar: (item: string) => st letter = '#' if (!acc[letter]) - acc[letter] = [] + acc[letter] = {} + + let groupName: string = '' + if (item.type === CollectionType.builtIn) + groupName = item.author + else if (item.type === CollectionType.custom) + groupName = CUSTOM_GROUP_NAME + else if (item.type === CollectionType.workflow) + groupName = WORKFLOW_GROUP_NAME + else + groupName = AGENT_GROUP_NAME + + if (!acc[letter][groupName]) + acc[letter][groupName] = [] + + acc[letter][groupName].push(item) - acc[letter].push(item) return acc }, {}) @@ -38,16 +73,18 @@ export const groupItems = (items: Array<any>, getFirstChar: (item: string) => st type IndexBarProps = { letters: string[] itemRefs: RefObject<{ [key: string]: HTMLElement | null }> + className?: string } -const IndexBar: FC<IndexBarProps> = ({ letters, itemRefs }) => { +const IndexBar: FC<IndexBarProps> = ({ letters, itemRefs, className }) => { const handleIndexClick = (letter: string) => { const element = itemRefs.current?.[letter] if (element) element.scrollIntoView({ behavior: 'smooth' }) } return ( - <div className="index-bar fixed right-4 top-36 flex flex-col items-center text-xs font-medium text-text-quaternary"> + <div className={classNames('index-bar absolute right-0 top-36 flex flex-col items-center w-6 justify-center text-xs font-medium text-text-quaternary', className)}> + <div className='absolute left-0 top-0 h-full w-px bg-[linear-gradient(270deg,rgba(255,255,255,0)_0%,rgba(16,24,40,0.08)_30%,rgba(16,24,40,0.08)_50%,rgba(16,24,40,0.08)_70.5%,rgba(255,255,255,0)_100%)]'></div> {letters.map(letter => ( <div className="hover:text-text-secondary cursor-pointer" key={letter} onClick={() => handleIndexClick(letter)}> {letter} diff --git a/web/app/components/workflow/block-selector/index.tsx b/web/app/components/workflow/block-selector/index.tsx index dc93c275f2d1eb..659a7694a8df9d 100644 --- a/web/app/components/workflow/block-selector/index.tsx +++ b/web/app/components/workflow/block-selector/index.tsx @@ -22,6 +22,8 @@ import { PortalToFollowElemTrigger, } from '@/app/components/base/portal-to-follow-elem' import Input from '@/app/components/base/input' +import SearchBox from '@/app/components/plugins/marketplace/search-box' + import { Plus02, } from '@/app/components/base/icons/src/vender/line/general' @@ -61,6 +63,7 @@ const NodeSelector: FC<NodeSelectorProps> = ({ }) => { const { t } = useTranslation() const [searchText, setSearchText] = useState('') + const [tags, setTags] = useState<string[]>([]) const [localOpen, setLocalOpen] = useState(false) const open = openFromProps === undefined ? localOpen : openFromProps const handleOpenChange = useCallback((newOpen: boolean) => { @@ -126,25 +129,37 @@ const NodeSelector: FC<NodeSelectorProps> = ({ } </PortalToFollowElemTrigger> <PortalToFollowElemContent className='z-[1000]'> - <div className={ - classNames(`rounded-lg border-[0.5px] backdrop-blur-[5px] - border-components-panel-border bg-components-panel-bg-blur shadow-lg`, popupClassName)}> - <div className='p-2 pb-1' onClick={e => e.stopPropagation()}> - <Input - showLeftIcon - showClearIcon - autoFocus - value={searchText} - placeholder={searchPlaceholder} - onChange={e => setSearchText(e.target.value)} - onClear={() => setSearchText('')} - /> + <div className={`rounded-lg border-[0.5px] border-gray-200 bg-white shadow-lg ${popupClassName}`}> + <div className='px-2 pt-2' onClick={e => e.stopPropagation()}> + {activeTab === TabsEnum.Blocks && ( + <Input + showLeftIcon + showClearIcon + autoFocus + value={searchText} + placeholder={searchPlaceholder} + onChange={e => setSearchText(e.target.value)} + onClear={() => setSearchText('')} + /> + )} + {activeTab === TabsEnum.Tools && ( + <SearchBox + search={searchText} + onSearchChange={setSearchText} + tags={tags} + onTagsChange={setTags} + size='small' + placeholder={t('plugin.searchTools')!} + /> + )} + </div> <Tabs activeTab={activeTab} onActiveTabChange={handleActiveTabChange} onSelect={handleSelect} searchText={searchText} + tags={tags} availableBlocksTypes={availableBlocksTypes} noBlocks={noBlocks} /> diff --git a/web/app/components/workflow/block-selector/market-place-plugin/action.tsx b/web/app/components/workflow/block-selector/market-place-plugin/action.tsx new file mode 100644 index 00000000000000..f4a9668c3ebdf7 --- /dev/null +++ b/web/app/components/workflow/block-selector/market-place-plugin/action.tsx @@ -0,0 +1,87 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback, useEffect, useRef, useState } from 'react' +import { useTranslation } from 'react-i18next' +import { RiMoreFill } from '@remixicon/react' +import ActionButton from '@/app/components/base/action-button' +// import Button from '@/app/components/base/button' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import cn from '@/utils/classnames' +import { MARKETPLACE_URL_PREFIX } from '@/config' +import { useDownloadPlugin } from '@/service/use-plugins' +import { downloadFile } from '@/utils/format' + +type Props = { + open: boolean + onOpenChange: (v: boolean) => void + author: string + name: string + version: string +} + +const OperationDropdown: FC<Props> = ({ + open, + onOpenChange, + author, + name, + version, +}) => { + const { t } = useTranslation() + const openRef = useRef(open) + const setOpen = useCallback((v: boolean) => { + onOpenChange(v) + openRef.current = v + }, [onOpenChange]) + + const handleTrigger = useCallback(() => { + setOpen(!openRef.current) + }, [setOpen]) + + const [needDownload, setNeedDownload] = useState(false) + const { data: blob, isLoading } = useDownloadPlugin({ + organization: author, + pluginName: name, + version, + }, needDownload) + const handleDownload = useCallback(() => { + if (isLoading) return + setNeedDownload(true) + }, [isLoading]) + + useEffect(() => { + if (blob) { + const fileName = `${author}-${name}_${version}.zip` + downloadFile({ data: blob, fileName }) + setNeedDownload(false) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [blob]) + return ( + <PortalToFollowElem + open={open} + onOpenChange={setOpen} + placement='bottom-end' + offset={{ + mainAxis: 0, + crossAxis: 0, + }} + > + <PortalToFollowElemTrigger onClick={handleTrigger}> + <ActionButton className={cn(open && 'bg-state-base-hover')}> + <RiMoreFill className='w-4 h-4 text-components-button-secondary-accent-text' /> + </ActionButton> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-[9999]'> + <div className='w-[112px] p-1 bg-components-panel-bg-blur rounded-xl border-[0.5px] border-components-panel-border shadow-lg'> + <div onClick={handleDownload} className='px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'>{t('common.operation.download')}</div> + <a href={`${MARKETPLACE_URL_PREFIX}/plugins/${author}/${name}`} target='_blank' className='block px-3 py-1.5 rounded-lg text-text-secondary system-md-regular cursor-pointer hover:bg-state-base-hover'>{t('common.operation.viewDetails')}</a> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} +export default React.memo(OperationDropdown) diff --git a/web/app/components/workflow/block-selector/market-place-plugin/item.tsx b/web/app/components/workflow/block-selector/market-place-plugin/item.tsx new file mode 100644 index 00000000000000..ebe4da73f8b70f --- /dev/null +++ b/web/app/components/workflow/block-selector/market-place-plugin/item.tsx @@ -0,0 +1,77 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { useContext } from 'use-context-selector' +import { useTranslation } from 'react-i18next' +import Action from './action' +import type { Plugin } from '@/app/components/plugins/types.ts' +import InstallFromMarketplace from '@/app/components/plugins/install-plugin/install-from-marketplace' +import I18n from '@/context/i18n' +import cn from '@/utils/classnames' + +import { formatNumber } from '@/utils/format' +import { useBoolean } from 'ahooks' + +enum ActionType { + install = 'install', + download = 'download', + // viewDetail = 'viewDetail', // wait for marketplace api +} +type Props = { + payload: Plugin + onAction: (type: ActionType) => void +} + +const Item: FC<Props> = ({ + payload, +}) => { + const { t } = useTranslation() + const [open, setOpen] = React.useState(false) + const { locale } = useContext(I18n) + const getLocalizedText = (obj: Record<string, string> | undefined) => + obj?.[locale] || obj?.['en-US'] || obj?.en_US || '' + const [isShowInstallModal, { + setTrue: showInstallModal, + setFalse: hideInstallModal, + }] = useBoolean(false) + + return ( + <div className='group/plugin flex rounded-lg py-1 pr-1 pl-3 hover:bg-state-base-hover'> + <div + className='shrink-0 relative w-6 h-6 border-[0.5px] border-components-panel-border-subtle rounded-md bg-center bg-no-repeat bg-contain' + style={{ backgroundImage: `url(${payload.icon})` }} + /> + <div className='ml-2 w-0 grow flex'> + <div className='w-0 grow'> + <div className='h-4 leading-4 text-text-primary system-sm-medium truncate '>{getLocalizedText(payload.label)}</div> + <div className='h-5 leading-5 text-text-tertiary system-xs-regular truncate'>{getLocalizedText(payload.brief)}</div> + <div className='flex text-text-tertiary system-xs-regular space-x-1'> + <div>{payload.org}</div> + <div>·</div> + <div>{t('plugin.install', { num: formatNumber(payload.install_count || 0) })}</div> + </div> + </div> + {/* Action */} + <div className={cn(!open ? 'hidden' : 'flex', 'group-hover/plugin:flex items-center space-x-1 h-4 text-components-button-secondary-accent-text system-xs-medium')}> + <div className='px-1.5 cursor-pointer' onClick={showInstallModal}>{t('plugin.installAction')}</div> + <Action + open={open} + onOpenChange={setOpen} + author={payload.org} + name={payload.name} + version={payload.latest_version} + /> + </div> + {isShowInstallModal && ( + <InstallFromMarketplace + uniqueIdentifier={payload.latest_package_identifier} + manifest={payload} + onSuccess={hideInstallModal} + onClose={hideInstallModal} + /> + )} + </div> + </div> + ) +} +export default React.memo(Item) diff --git a/web/app/components/workflow/block-selector/market-place-plugin/list.tsx b/web/app/components/workflow/block-selector/market-place-plugin/list.tsx new file mode 100644 index 00000000000000..0c381c2a39aba1 --- /dev/null +++ b/web/app/components/workflow/block-selector/market-place-plugin/list.tsx @@ -0,0 +1,129 @@ +'use client' +import React, { forwardRef, useEffect, useImperativeHandle, useMemo, useRef } from 'react' +import { useTranslation } from 'react-i18next' +import useStickyScroll, { ScrollPosition } from '../use-sticky-scroll' +import Item from './item' +import type { Plugin } from '@/app/components/plugins/types.ts' +import cn from '@/utils/classnames' +import Link from 'next/link' +import { marketplaceUrlPrefix } from '@/config' +import { RiArrowRightUpLine, RiSearchLine } from '@remixicon/react' +// import { RiArrowRightUpLine } from '@remixicon/react' + +type Props = { + wrapElemRef: React.RefObject<HTMLElement> + list: Plugin[] + searchText: string + tags: string[] + toolContentClassName?: string + disableMaxWidth?: boolean +} + +const List = forwardRef<{ handleScroll: () => void }, Props>(({ + wrapElemRef, + searchText, + tags, + list, + toolContentClassName, + disableMaxWidth = false, +}, ref) => { + const { t } = useTranslation() + const hasFilter = !searchText + const hasRes = list.length > 0 + const urlWithSearchText = `${marketplaceUrlPrefix}/?q=${searchText}&tags=${tags.join(',')}` + const nextToStickyELemRef = useRef<HTMLDivElement>(null) + + const { handleScroll, scrollPosition } = useStickyScroll({ + wrapElemRef, + nextToStickyELemRef, + }) + const stickyClassName = useMemo(() => { + switch (scrollPosition) { + case ScrollPosition.aboveTheWrap: + return 'top-0 h-9 pt-3 pb-2 shadow-xs bg-components-panel-bg-blur cursor-pointer' + case ScrollPosition.showing: + return 'bottom-0 pt-3 pb-1' + case ScrollPosition.belowTheWrap: + return 'bottom-0 items-center rounded-b-xl border-t border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-lg rounded-b-lg cursor-pointer' + } + }, [scrollPosition]) + + useImperativeHandle(ref, () => ({ + handleScroll, + })) + + useEffect(() => { + handleScroll() + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [list]) + + const handleHeadClick = () => { + if (scrollPosition === ScrollPosition.belowTheWrap) { + nextToStickyELemRef.current?.scrollIntoView({ behavior: 'smooth', block: 'start' }) + return + } + window.open(urlWithSearchText, '_blank') + } + + if (hasFilter) { + return ( + <Link + className='sticky bottom-0 z-10 flex h-8 px-4 py-1 system-sm-medium items-center border-t border-[0.5px] border-components-panel-border bg-components-panel-bg-blur rounded-b-lg shadow-lg text-text-accent-light-mode-only cursor-pointer' + href={`${marketplaceUrlPrefix}/`} + target='_blank' + > + <span>{t('plugin.findMoreInMarketplace')}</span> + <RiArrowRightUpLine className='ml-0.5 w-3 h-3' /> + </Link> + ) + } + + const maxWidthClassName = toolContentClassName || 'max-w-[300px]' + + return ( + <> + {hasRes && ( + <div + className={cn('sticky z-10 flex justify-between h-8 px-4 py-1 text-text-primary system-sm-medium cursor-pointer', stickyClassName, !disableMaxWidth && maxWidthClassName)} + onClick={handleHeadClick} + > + <span>{t('plugin.fromMarketplace')}</span> + <Link + href={urlWithSearchText} + target='_blank' + className='flex items-center text-text-accent-light-mode-only' + onClick={e => e.stopPropagation()} + > + <span>{t('plugin.searchInMarketplace')}</span> + <RiArrowRightUpLine className='ml-0.5 w-3 h-3' /> + </Link> + </div> + )} + <div className={cn('p-1', !disableMaxWidth && maxWidthClassName)} ref={nextToStickyELemRef}> + {list.map((item, index) => ( + <Item + key={index} + payload={item} + onAction={() => { }} + /> + ))} + <div className='mt-2 mb-3 flex items-center justify-center space-x-2'> + <div className="w-[90px] h-[2px] bg-gradient-to-l from-[rgba(16,24,40,0.08)] to-[rgba(255,255,255,0.01)]"></div> + <Link + href={urlWithSearchText} + target='_blank' + className='shrink-0 flex items-center h-4 system-sm-medium text-text-accent-light-mode-only' + > + <RiSearchLine className='mr-0.5 w-3 h-3' /> + <span>{t('plugin.searchInMarketplace')}</span> + </Link> + <div className="w-[90px] h-[2px] bg-gradient-to-l from-[rgba(255,255,255,0.01)] to-[rgba(16,24,40,0.08)]"></div> + </div> + </div> + </> + ) +}) + +List.displayName = 'List' + +export default List diff --git a/web/app/components/workflow/block-selector/tabs.tsx b/web/app/components/workflow/block-selector/tabs.tsx index 12fde56533157c..d6897735184496 100644 --- a/web/app/components/workflow/block-selector/tabs.tsx +++ b/web/app/components/workflow/block-selector/tabs.tsx @@ -1,5 +1,6 @@ import type { FC } from 'react' import { memo } from 'react' +import { useAllBuiltInTools, useAllCustomTools, useAllWorkflowTools } from '@/service/use-tools' import type { BlockEnum } from '../types' import { useTabs } from './hooks' import type { ToolDefaultValue } from './types' @@ -12,6 +13,7 @@ export type TabsProps = { activeTab: TabsEnum onActiveTabChange: (activeTab: TabsEnum) => void searchText: string + tags: string[] onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void availableBlocksTypes?: BlockEnum[] noBlocks?: boolean @@ -19,12 +21,16 @@ export type TabsProps = { const Tabs: FC<TabsProps> = ({ activeTab, onActiveTabChange, + tags, searchText, onSelect, availableBlocksTypes, noBlocks, }) => { const tabs = useTabs() + const { data: buildInTools } = useAllBuiltInTools() + const { data: customTools } = useAllCustomTools() + const { data: workflowTools } = useAllWorkflowTools() return ( <div onClick={e => e.stopPropagation()}> @@ -62,8 +68,13 @@ const Tabs: FC<TabsProps> = ({ { activeTab === TabsEnum.Tools && ( <AllTools + className='w-[315px]' searchText={searchText} onSelect={onSelect} + tags={tags} + buildInTools={buildInTools || []} + customTools={customTools || []} + workflowTools={workflowTools || []} /> ) } diff --git a/web/app/components/workflow/block-selector/tool-picker.tsx b/web/app/components/workflow/block-selector/tool-picker.tsx new file mode 100644 index 00000000000000..4ba670cf0e557d --- /dev/null +++ b/web/app/components/workflow/block-selector/tool-picker.tsx @@ -0,0 +1,176 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import { useMemo, useState } from 'react' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import type { + OffsetOptions, + Placement, +} from '@floating-ui/react' +import AllTools from '@/app/components/workflow/block-selector/all-tools' +import type { ToolDefaultValue, ToolValue } from './types' +import type { BlockEnum } from '@/app/components/workflow/types' +import SearchBox from '@/app/components/plugins/marketplace/search-box' +import { useTranslation } from 'react-i18next' +import { useBoolean } from 'ahooks' +import EditCustomToolModal from '@/app/components/tools/edit-custom-collection-modal/modal' +import { + createCustomCollection, +} from '@/service/tools' +import type { CustomCollectionBackend } from '@/app/components/tools/types' +import Toast from '@/app/components/base/toast' +import { useAllBuiltInTools, useAllCustomTools, useAllWorkflowTools, useInvalidateAllCustomTools } from '@/service/use-tools' +import cn from '@/utils/classnames' + +type Props = { + panelClassName?: string + disabled: boolean + trigger: React.ReactNode + placement?: Placement + offset?: OffsetOptions + isShow: boolean + onShowChange: (isShow: boolean) => void + onSelect: (tool: ToolDefaultValue) => void + supportAddCustomTool?: boolean + scope?: string + selectedTools?: ToolValue[] +} + +const ToolPicker: FC<Props> = ({ + disabled, + trigger, + placement = 'right-start', + offset = 0, + isShow, + onShowChange, + onSelect, + supportAddCustomTool, + scope = 'all', + selectedTools, + panelClassName, +}) => { + const { t } = useTranslation() + const [searchText, setSearchText] = useState('') + const [tags, setTags] = useState<string[]>([]) + + const { data: buildInTools } = useAllBuiltInTools() + const { data: customTools } = useAllCustomTools() + const invalidateCustomTools = useInvalidateAllCustomTools() + const { data: workflowTools } = useAllWorkflowTools() + + const { builtinToolList, customToolList, workflowToolList } = useMemo(() => { + if (scope === 'plugins') { + return { + builtinToolList: buildInTools, + customToolList: [], + workflowToolList: [], + } + } + if (scope === 'custom') { + return { + builtinToolList: [], + customToolList: customTools, + workflowToolList: [], + } + } + if (scope === 'workflow') { + return { + builtinToolList: [], + customToolList: [], + workflowToolList: workflowTools, + } + } + return { + builtinToolList: buildInTools, + customToolList: customTools, + workflowToolList: workflowTools, + } + }, [scope, buildInTools, customTools, workflowTools]) + + const handleAddedCustomTool = invalidateCustomTools + + const handleTriggerClick = () => { + if (disabled) return + onShowChange(true) + } + + const handleSelect = (_type: BlockEnum, tool?: ToolDefaultValue) => { + onSelect(tool!) + } + + const [isShowEditCollectionToolModal, { + setFalse: hideEditCustomCollectionModal, + setTrue: showEditCustomCollectionModal, + }] = useBoolean(false) + + const doCreateCustomToolCollection = async (data: CustomCollectionBackend) => { + await createCustomCollection(data) + Toast.notify({ + type: 'success', + message: t('common.api.actionSuccess'), + }) + hideEditCustomCollectionModal() + handleAddedCustomTool() + } + + if (isShowEditCollectionToolModal) { + return ( + <EditCustomToolModal + positionLeft + payload={null} + onHide={hideEditCustomCollectionModal} + onAdd={doCreateCustomToolCollection} + /> + ) + } + + return ( + <PortalToFollowElem + placement={placement} + offset={offset} + open={isShow} + onOpenChange={onShowChange} + > + <PortalToFollowElemTrigger + onClick={handleTriggerClick} + > + {trigger} + </PortalToFollowElemTrigger> + + <PortalToFollowElemContent className='z-[1000]'> + <div className={cn('relative w-[356px] min-h-20 rounded-xl backdrop-blur-sm bg-components-panel-bg-blur border-[0.5px] border-components-panel-border shadow-lg', panelClassName)}> + <div className='p-2 pb-1'> + <SearchBox + search={searchText} + onSearchChange={setSearchText} + tags={tags} + onTagsChange={setTags} + size='small' + placeholder={t('plugin.searchTools')!} + /> + </div> + <AllTools + className='mt-1' + toolContentClassName='max-w-[360px]' + tags={tags} + searchText={searchText} + onSelect={handleSelect} + buildInTools={builtinToolList || []} + customTools={customToolList || []} + workflowTools={workflowToolList || []} + supportAddCustomTool={supportAddCustomTool} + onAddedCustomTool={handleAddedCustomTool} + onShowAddCustomCollectionModal={showEditCustomCollectionModal} + selectedTools={selectedTools} + /> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default React.memo(ToolPicker) diff --git a/web/app/components/workflow/block-selector/tool/action-item.tsx b/web/app/components/workflow/block-selector/tool/action-item.tsx new file mode 100644 index 00000000000000..411faccb3a7dd1 --- /dev/null +++ b/web/app/components/workflow/block-selector/tool/action-item.tsx @@ -0,0 +1,89 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { ToolWithProvider } from '../../types' +import { BlockEnum } from '../../types' +import type { ToolDefaultValue } from '../types' +import Tooltip from '@/app/components/base/tooltip' +import type { Tool } from '@/app/components/tools/types' +import { useGetLanguage } from '@/context/i18n' +import BlockIcon from '../../block-icon' +import cn from '@/utils/classnames' +import { useTranslation } from 'react-i18next' +import { RiCheckLine } from '@remixicon/react' +import Badge from '@/app/components/base/badge' + +type Props = { + provider: ToolWithProvider + payload: Tool + disabled?: boolean + onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void +} + +const ToolItem: FC<Props> = ({ + provider, + payload, + onSelect, + disabled, +}) => { + const { t } = useTranslation() + + const language = useGetLanguage() + + return ( + <Tooltip + key={payload.name} + position='right' + popupClassName='!p-0 !px-3 !py-2.5 !w-[200px] !leading-[18px] !text-xs !text-gray-700 !border-[0.5px] !border-black/5 !rounded-xl !shadow-lg' + popupContent={( + <div> + <BlockIcon + size='md' + className='mb-2' + type={BlockEnum.Tool} + toolIcon={provider.icon} + /> + <div className='mb-1 text-sm leading-5 text-text-primary'>{payload.label[language]}</div> + <div className='text-xs text-text-secondary leading-[18px]'>{payload.description[language]}</div> + </div> + )} + > + <div + key={payload.name} + className='flex justify-between items-center pr-1 rounded-lg pl-[21px] hover:bg-state-base-hover cursor-pointer' + onClick={() => { + if (disabled) return + const params: Record<string, string> = {} + if (payload.parameters) { + payload.parameters.forEach((item) => { + params[item.name] = '' + }) + } + onSelect(BlockEnum.Tool, { + provider_id: provider.id, + provider_type: provider.type, + provider_name: provider.name, + tool_name: payload.name, + tool_label: payload.label[language], + title: payload.label[language], + is_team_authorization: provider.is_team_authorization, + output_schema: payload.output_schema, + paramSchemas: payload.parameters, + params, + }) + }} + > + <div className={cn('h-8 leading-8 border-l-2 border-divider-subtle pl-4 truncate text-text-secondary system-sm-medium', disabled && 'opacity-30')}>{payload.label[language]}</div> + {disabled && <Badge + className='flex items-center h-5 text-text-tertiary space-x-0.5' + uppercase + > + <RiCheckLine className='w-3 h-3 ' /> + <div>{t('tools.addToolModal.added')}</div> + </Badge> + } + </div> + </Tooltip > + ) +} +export default React.memo(ToolItem) diff --git a/web/app/components/workflow/block-selector/tool/tool-list-flat-view/list.tsx b/web/app/components/workflow/block-selector/tool/tool-list-flat-view/list.tsx new file mode 100644 index 00000000000000..ef671ca1f84ae3 --- /dev/null +++ b/web/app/components/workflow/block-selector/tool/tool-list-flat-view/list.tsx @@ -0,0 +1,64 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { ToolWithProvider } from '../../../types' +import type { BlockEnum } from '../../../types' +import type { ToolDefaultValue, ToolValue } from '../../types' +import Tool from '../tool' +import { ViewType } from '../../view-type-select' +import { useMemo } from 'react' + +type Props = { + payload: ToolWithProvider[] + isShowLetterIndex: boolean + hasSearchText: boolean + onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void + letters: string[] + toolRefs: any + selectedTools?: ToolValue[] +} + +const ToolViewFlatView: FC<Props> = ({ + letters, + payload, + isShowLetterIndex, + hasSearchText, + onSelect, + toolRefs, + selectedTools, +}) => { + const firstLetterToolIds = useMemo(() => { + const res: Record<string, string> = {} + letters.forEach((letter) => { + const firstToolId = payload.find(tool => tool.letter === letter)?.id + if (firstToolId) + res[firstToolId] = letter + }) + return res + }, [payload, letters]) + return ( + <div> + {payload.map(tool => ( + <div + key={tool.id} + ref={(el) => { + const letter = firstLetterToolIds[tool.id] + if (letter) + toolRefs.current[letter] = el + }} + > + <Tool + payload={tool} + viewType={ViewType.flat} + isShowLetterIndex={isShowLetterIndex} + hasSearchText={hasSearchText} + onSelect={onSelect} + selectedTools={selectedTools} + /> + </div> + ))} + </div> + ) +} + +export default React.memo(ToolViewFlatView) diff --git a/web/app/components/workflow/block-selector/tool/tool-list-tree-view/item.tsx b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/item.tsx new file mode 100644 index 00000000000000..65afef8ba9cb06 --- /dev/null +++ b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/item.tsx @@ -0,0 +1,47 @@ +'use client' +import type { FC } from 'react' +import React from 'react' +import type { ToolWithProvider } from '../../../types' +import Tool from '../tool' +import type { BlockEnum } from '../../../types' +import { ViewType } from '../../view-type-select' +import type { ToolDefaultValue, ToolValue } from '../../types' + +type Props = { + groupName: string + toolList: ToolWithProvider[] + hasSearchText: boolean + onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void + selectedTools?: ToolValue[] +} + +const Item: FC<Props> = ({ + groupName, + toolList, + hasSearchText, + onSelect, + selectedTools, +}) => { + return ( + <div> + <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'> + {groupName} + </div> + <div> + {toolList.map((tool: ToolWithProvider) => ( + <Tool + key={tool.id} + payload={tool} + viewType={ViewType.tree} + isShowLetterIndex={false} + hasSearchText={hasSearchText} + onSelect={onSelect} + selectedTools={selectedTools} + /> + ))} + </div> + </div> + ) +} + +export default React.memo(Item) diff --git a/web/app/components/workflow/block-selector/tool/tool-list-tree-view/list.tsx b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/list.tsx new file mode 100644 index 00000000000000..f3f98279c8b713 --- /dev/null +++ b/web/app/components/workflow/block-selector/tool/tool-list-tree-view/list.tsx @@ -0,0 +1,56 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback } from 'react' +import type { ToolWithProvider } from '../../../types' +import type { BlockEnum } from '../../../types' +import type { ToolDefaultValue, ToolValue } from '../../types' +import Item from './item' +import { useTranslation } from 'react-i18next' +import { AGENT_GROUP_NAME, CUSTOM_GROUP_NAME, WORKFLOW_GROUP_NAME } from '../../index-bar' + +type Props = { + payload: Record<string, ToolWithProvider[]> + hasSearchText: boolean + onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void + selectedTools?: ToolValue[] +} + +const ToolListTreeView: FC<Props> = ({ + payload, + hasSearchText, + onSelect, + selectedTools, +}) => { + const { t } = useTranslation() + const getI18nGroupName = useCallback((name: string) => { + if (name === CUSTOM_GROUP_NAME) + return t('workflow.tabs.customTool') + + if (name === WORKFLOW_GROUP_NAME) + return t('workflow.tabs.workflowTool') + + if (name === AGENT_GROUP_NAME) + return t('workflow.tabs.agent') + + return name + }, [t]) + + if (!payload) return null + + return ( + <div> + {Object.keys(payload).map(groupName => ( + <Item + key={groupName} + groupName={getI18nGroupName(groupName)} + toolList={payload[groupName]} + hasSearchText={hasSearchText} + onSelect={onSelect} + selectedTools={selectedTools} + /> + ))} + </div> + ) +} + +export default React.memo(ToolListTreeView) diff --git a/web/app/components/workflow/block-selector/tool/tool.tsx b/web/app/components/workflow/block-selector/tool/tool.tsx new file mode 100644 index 00000000000000..0711c0e1a44a9f --- /dev/null +++ b/web/app/components/workflow/block-selector/tool/tool.tsx @@ -0,0 +1,134 @@ +'use client' +import type { FC } from 'react' +import React, { useEffect, useMemo } from 'react' +import cn from '@/utils/classnames' +import { RiArrowDownSLine, RiArrowRightSLine } from '@remixicon/react' +import { useGetLanguage } from '@/context/i18n' +import type { Tool as ToolType } from '../../../tools/types' +import { CollectionType } from '../../../tools/types' +import type { ToolWithProvider } from '../../types' +import { BlockEnum } from '../../types' +import type { ToolDefaultValue, ToolValue } from '../types' +import { ViewType } from '../view-type-select' +import ActonItem from './action-item' +import BlockIcon from '../../block-icon' +import { useTranslation } from 'react-i18next' + +type Props = { + className?: string + payload: ToolWithProvider + viewType: ViewType + isShowLetterIndex: boolean + hasSearchText: boolean + onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void + selectedTools?: ToolValue[] +} + +const Tool: FC<Props> = ({ + className, + payload, + viewType, + isShowLetterIndex, + hasSearchText, + onSelect, + selectedTools, +}) => { + const { t } = useTranslation() + const language = useGetLanguage() + const isFlatView = viewType === ViewType.flat + const actions = payload.tools + const hasAction = true // Now always support actions + const [isFold, setFold] = React.useState<boolean>(true) + const getIsDisabled = (tool: ToolType) => { + if (!selectedTools || !selectedTools.length) return false + return selectedTools.some(selectedTool => selectedTool.provider_name === payload.name && selectedTool.tool_name === tool.name) + } + useEffect(() => { + if (hasSearchText && isFold) { + setFold(false) + return + } + if (!hasSearchText && !isFold) + setFold(true) + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [hasSearchText]) + + const FoldIcon = isFold ? RiArrowRightSLine : RiArrowDownSLine + + const groupName = useMemo(() => { + if (payload.type === CollectionType.builtIn) + return payload.author + + if (payload.type === CollectionType.custom) + return t('workflow.tabs.customTool') + + if (payload.type === CollectionType.workflow) + return t('workflow.tabs.workflowTool') + + return '' + }, [payload.author, payload.type, t]) + + return ( + <div + key={payload.id} + className={cn('mb-1 last-of-type:mb-0', isShowLetterIndex && 'mr-6')} + > + <div className={cn(className)}> + <div + className='flex items-center justify-between pl-3 pr-1 w-full rounded-lg hover:bg-state-base-hover cursor-pointer select-none' + onClick={() => { + if (hasAction) + setFold(!isFold) + + // Now always support actions + // if (payload.parameters) { + // payload.parameters.forEach((item) => { + // params[item.name] = '' + // }) + // } + // onSelect(BlockEnum.Tool, { + // provider_id: payload.id, + // provider_type: payload.type, + // provider_name: payload.name, + // tool_name: payload.name, + // tool_label: payload.label[language], + // title: payload.label[language], + // params: {}, + // }) + }} + > + <div className='flex grow items-center h-8'> + <BlockIcon + className='shrink-0' + type={BlockEnum.Tool} + toolIcon={payload.icon} + /> + <div className='ml-2 text-sm text-text-primary flex-1 w-0 grow truncate'>{payload.label[language]}</div> + </div> + + <div className='flex items-center'> + {isFlatView && ( + <div className='text-text-tertiary system-xs-regular'>{groupName}</div> + )} + {hasAction && ( + <FoldIcon className={cn('w-4 h-4 text-text-quaternary shrink-0', isFold && 'text-text-tertiary')} /> + )} + </div> + </div> + + {hasAction && !isFold && ( + actions.map(action => ( + <ActonItem + key={action.name} + provider={payload} + payload={action} + onSelect={onSelect} + disabled={getIsDisabled(action)} + /> + )) + )} + </div> + </div> + ) +} +export default React.memo(Tool) diff --git a/web/app/components/workflow/block-selector/tools.tsx b/web/app/components/workflow/block-selector/tools.tsx index 394966fb4f423a..94374be9b84c42 100644 --- a/web/app/components/workflow/block-selector/tools.tsx +++ b/web/app/components/workflow/block-selector/tools.tsx @@ -1,103 +1,93 @@ import { memo, - useCallback, + useMemo, useRef, } from 'react' import { useTranslation } from 'react-i18next' -import BlockIcon from '../block-icon' -import { BlockEnum } from '../types' -import type { ToolWithProvider } from '../types' +import type { BlockEnum, ToolWithProvider } from '../types' import IndexBar, { groupItems } from './index-bar' -import type { ToolDefaultValue } from './types' -import Tooltip from '@/app/components/base/tooltip' +import type { ToolDefaultValue, ToolValue } from './types' +import { ViewType } from './view-type-select' import Empty from '@/app/components/tools/add-tool-modal/empty' import { useGetLanguage } from '@/context/i18n' +import ToolListTreeView from './tool/tool-list-tree-view/list' +import ToolListFlatView from './tool/tool-list-flat-view/list' +import classNames from '@/utils/classnames' type ToolsProps = { showWorkflowEmpty: boolean onSelect: (type: BlockEnum, tool?: ToolDefaultValue) => void tools: ToolWithProvider[] + viewType: ViewType + hasSearchText: boolean + className?: string + indexBarClassName?: string + selectedTools?: ToolValue[] } const Blocks = ({ showWorkflowEmpty, onSelect, tools, + viewType, + hasSearchText, + className, + indexBarClassName, + selectedTools, }: ToolsProps) => { const { t } = useTranslation() const language = useGetLanguage() + const isFlatView = viewType === ViewType.flat + const isShowLetterIndex = isFlatView && tools.length > 10 - const { letters, groups: groupedTools } = groupItems(tools, tool => tool.label[language][0]) - const toolRefs = useRef({}) + /* + treeViewToolsData: + { + A: { + 'google': [ // plugin organize name + ...tools + ], + 'custom': [ // custom tools + ...tools + ], + 'workflow': [ // workflow as tools + ...tools + ] + } + } + */ + const { letters, groups: withLetterAndGroupViewToolsData } = groupItems(tools, tool => (tool as any).label[language][0]) + const treeViewToolsData = useMemo(() => { + const result: Record<string, ToolWithProvider[]> = {} + Object.keys(withLetterAndGroupViewToolsData).forEach((letter) => { + Object.keys(withLetterAndGroupViewToolsData[letter]).forEach((groupName) => { + if (!result[groupName]) + result[groupName] = [] + result[groupName].push(...withLetterAndGroupViewToolsData[letter][groupName]) + }) + }) + return result + }, [withLetterAndGroupViewToolsData]) - const renderGroup = useCallback((toolWithProvider: ToolWithProvider) => { - const list = toolWithProvider.tools + const listViewToolData = useMemo(() => { + const result: ToolWithProvider[] = [] + letters.forEach((letter) => { + Object.keys(withLetterAndGroupViewToolsData[letter]).forEach((groupName) => { + result.push(...withLetterAndGroupViewToolsData[letter][groupName].map((item) => { + return { + ...item, + letter, + } + })) + }) + }) - return ( - <div - key={toolWithProvider.id} - className='mb-1 last-of-type:mb-0' - > - <div className='flex items-start px-3 h-[22px] text-xs font-medium text-gray-500'> - {toolWithProvider.label[language]} - </div> - { - list.map(tool => ( - <Tooltip - key={tool.name} - position='right' - popupClassName='w-[200px]' - popupContent={( - <div> - <BlockIcon - size='md' - className='mb-2' - type={BlockEnum.Tool} - toolIcon={toolWithProvider.icon} - /> - <div className='mb-1 system-md-medium text-text-primary'>{tool.label[language]}</div> - <div className='system-xs-regular text-text-tertiary'>{tool.description[language]}</div> - </div> - )} - > - <div - className='flex items-center px-3 w-full h-8 rounded-lg hover:bg-state-base-hover cursor-pointer' - onClick={() => onSelect(BlockEnum.Tool, { - provider_id: toolWithProvider.id, - provider_type: toolWithProvider.type, - provider_name: toolWithProvider.name, - tool_name: tool.name, - tool_label: tool.label[language], - title: tool.label[language], - })} - > - <BlockIcon - className='mr-2 shrink-0' - type={BlockEnum.Tool} - toolIcon={toolWithProvider.icon} - /> - <div className='text-sm text-text-secondary flex-1 min-w-0 truncate'>{tool.label[language]}</div> - </div> - </Tooltip> - )) - } - </div> - ) - }, [onSelect, language]) + return result + }, [withLetterAndGroupViewToolsData, letters]) - const renderLetterGroup = (letter) => { - const tools = groupedTools[letter] - return ( - <div - key={letter} - ref={el => (toolRefs.current[letter] = el)} - > - {tools.map(renderGroup)} - </div> - ) - } + const toolRefs = useRef({}) return ( - <div className='p-1 max-w-[320px] max-h-[464px] overflow-y-auto'> + <div className={classNames('p-1 max-w-[320px]', className)}> { !tools.length && !showWorkflowEmpty && ( <div className='flex items-center px-3 h-[22px] text-xs font-medium text-text-tertiary'>{t('workflow.tabs.noResult')}</div> @@ -108,8 +98,28 @@ const Blocks = ({ <Empty /> </div> )} - {!!tools.length && letters.map(renderLetterGroup)} - {tools.length > 10 && <IndexBar letters={letters} itemRefs={toolRefs} />} + {!!tools.length && ( + isFlatView ? ( + <ToolListFlatView + toolRefs={toolRefs} + letters={letters} + payload={listViewToolData} + isShowLetterIndex={isShowLetterIndex} + hasSearchText={hasSearchText} + onSelect={onSelect} + selectedTools={selectedTools} + /> + ) : ( + <ToolListTreeView + payload={treeViewToolsData} + hasSearchText={hasSearchText} + onSelect={onSelect} + selectedTools={selectedTools} + /> + ) + )} + + {isShowLetterIndex && <IndexBar letters={letters} itemRefs={toolRefs} className={indexBarClassName} />} </div> ) } diff --git a/web/app/components/workflow/block-selector/types.ts b/web/app/components/workflow/block-selector/types.ts index affa2488b9430d..93a3242222466a 100644 --- a/web/app/components/workflow/block-selector/types.ts +++ b/web/app/components/workflow/block-selector/types.ts @@ -25,4 +25,18 @@ export type ToolDefaultValue = { tool_name: string tool_label: string title: string + is_team_authorization: boolean + params: Record<string, any> + paramSchemas: Record<string, any>[] + output_schema: Record<string, any> +} + +export type ToolValue = { + provider_name: string + tool_name: string + tool_label: string + settings?: Record<string, any> + parameters?: Record<string, any> + enabled?: boolean + extra?: Record<string, any> } diff --git a/web/app/components/workflow/block-selector/use-sticky-scroll.ts b/web/app/components/workflow/block-selector/use-sticky-scroll.ts new file mode 100644 index 00000000000000..405ecdba7e80ed --- /dev/null +++ b/web/app/components/workflow/block-selector/use-sticky-scroll.ts @@ -0,0 +1,45 @@ +import React from 'react' +import { useThrottleFn } from 'ahooks' + +export enum ScrollPosition { + belowTheWrap = 'belowTheWrap', + showing = 'showing', + aboveTheWrap = 'aboveTheWrap', +} + +type Params = { + wrapElemRef: React.RefObject<HTMLElement> + nextToStickyELemRef: React.RefObject<HTMLElement> +} +const useStickyScroll = ({ + wrapElemRef, + nextToStickyELemRef, +}: Params) => { + const [scrollPosition, setScrollPosition] = React.useState<ScrollPosition>(ScrollPosition.belowTheWrap) + const { run: handleScroll } = useThrottleFn(() => { + const wrapDom = wrapElemRef.current + const stickyDOM = nextToStickyELemRef.current + if (!wrapDom || !stickyDOM) + return + const { height: wrapHeight, top: wrapTop } = wrapDom.getBoundingClientRect() + const { top: nextToStickyTop } = stickyDOM.getBoundingClientRect() + let scrollPositionNew = ScrollPosition.belowTheWrap + + if (nextToStickyTop - wrapTop >= wrapHeight) + scrollPositionNew = ScrollPosition.belowTheWrap + else if (nextToStickyTop <= wrapTop) + scrollPositionNew = ScrollPosition.aboveTheWrap + else + scrollPositionNew = ScrollPosition.showing + + if (scrollPosition !== scrollPositionNew) + setScrollPosition(scrollPositionNew) + }, { wait: 100 }) + + return { + handleScroll, + scrollPosition, + } +} + +export default useStickyScroll diff --git a/web/app/components/workflow/block-selector/view-type-select.tsx b/web/app/components/workflow/block-selector/view-type-select.tsx new file mode 100644 index 00000000000000..d76926e619e235 --- /dev/null +++ b/web/app/components/workflow/block-selector/view-type-select.tsx @@ -0,0 +1,58 @@ +'use client' +import type { FC } from 'react' +import React, { useCallback } from 'react' +import { RiNodeTree, RiSortAlphabetAsc } from '@remixicon/react' +import cn from '@/utils/classnames' + +export enum ViewType { + flat = 'flat', + tree = 'tree', +} + +type Props = { + viewType: ViewType + onChange: (viewType: ViewType) => void +} + +const ViewTypeSelect: FC<Props> = ({ + viewType, + onChange, +}) => { + const handleChange = useCallback((nextViewType: ViewType) => { + return () => { + if (nextViewType === viewType) + return + onChange(nextViewType) + } + }, [viewType, onChange]) + + return ( + <div className='flex items-center rounded-lg bg-components-segmented-control-bg-normal p-px'> + <div + className={ + cn('p-[3px] rounded-lg', + viewType === ViewType.flat + ? 'bg-components-segmented-control-item-active-bg shadow-xs text-text-accent-light-mode-only' + : 'text-text-tertiary cursor-pointer', + ) + } + onClick={handleChange(ViewType.flat)} + > + <RiSortAlphabetAsc className='w-4 h-4' /> + </div> + <div + className={ + cn('p-[3px] rounded-lg', + viewType === ViewType.tree + ? 'bg-components-segmented-control-item-active-bg shadow-xs text-text-accent-light-mode-only' + : 'text-text-tertiary cursor-pointer', + ) + } + onClick={handleChange(ViewType.tree)} + > + <RiNodeTree className='w-4 h-4 ' /> + </div> + </div> + ) +} +export default React.memo(ViewTypeSelect) diff --git a/web/app/components/workflow/constants.ts b/web/app/components/workflow/constants.ts index 5f52a754647f10..56368d5a797b24 100644 --- a/web/app/components/workflow/constants.ts +++ b/web/app/components/workflow/constants.ts @@ -18,6 +18,7 @@ import IterationDefault from './nodes/iteration/default' import DocExtractorDefault from './nodes/document-extractor/default' import ListFilterDefault from './nodes/list-operator/default' import IterationStartDefault from './nodes/iteration-start/default' +import AgentDefault from './nodes/agent/default' type NodesExtraData = { author: string @@ -200,7 +201,15 @@ export const NODES_EXTRA_DATA: Record<BlockEnum, NodesExtraData> = { getAvailableNextNodes: ListFilterDefault.getAvailableNextNodes, checkValid: ListFilterDefault.checkValid, }, - + [BlockEnum.Agent]: { + author: 'Dify', + about: '', + availablePrevNodes: [], + availableNextNodes: [], + getAvailablePrevNodes: ListFilterDefault.getAvailablePrevNodes, + getAvailableNextNodes: ListFilterDefault.getAvailableNextNodes, + checkValid: AgentDefault.checkValid, + }, } export const NODES_INITIAL_DATA = { @@ -336,6 +345,12 @@ export const NODES_INITIAL_DATA = { desc: '', ...ListFilterDefault.defaultValue, }, + [BlockEnum.Agent]: { + type: BlockEnum.Agent, + title: '', + desc: '', + ...AgentDefault.defaultValue, + }, } export const MAX_ITERATION_PARALLEL_NUM = 10 export const MIN_ITERATION_PARALLEL_NUM = 1 @@ -386,6 +401,7 @@ export const SUPPORT_OUTPUT_VARS_NODE = [ BlockEnum.HttpRequest, BlockEnum.Tool, BlockEnum.VariableAssigner, BlockEnum.VariableAggregator, BlockEnum.QuestionClassifier, BlockEnum.ParameterExtractor, BlockEnum.Iteration, BlockEnum.DocExtractor, BlockEnum.ListFilter, + BlockEnum.Agent, ] export const LLM_OUTPUT_STRUCT: Var[] = [ diff --git a/web/app/components/workflow/hooks/use-checklist.ts b/web/app/components/workflow/hooks/use-checklist.ts index 36201ddfefd806..0ef374493c77cd 100644 --- a/web/app/components/workflow/hooks/use-checklist.ts +++ b/web/app/components/workflow/hooks/use-checklist.ts @@ -24,6 +24,8 @@ import { useNodesExtraData } from './use-nodes-data' import { useToastContext } from '@/app/components/base/toast' import { CollectionType } from '@/app/components/tools/types' import { useGetLanguage } from '@/context/i18n' +import type { AgentNodeType } from '../nodes/agent/types' +import { useStrategyProviders } from '@/service/use-strategy' export const useChecklist = (nodes: Node[], edges: Edge[]) => { const { t } = useTranslation() @@ -33,6 +35,7 @@ export const useChecklist = (nodes: Node[], edges: Edge[]) => { const buildInTools = useStore(s => s.buildInTools) const customTools = useStore(s => s.customTools) const workflowTools = useStore(s => s.workflowTools) + const { data: strategyProviders } = useStrategyProviders() const needWarningNodes = useMemo(() => { const list = [] @@ -57,6 +60,19 @@ export const useChecklist = (nodes: Node[], edges: Edge[]) => { toolIcon = workflowTools.find(tool => tool.id === node.data.provider_id)?.icon } + if (node.data.type === BlockEnum.Agent) { + const data = node.data as AgentNodeType + const isReadyForCheckValid = !!strategyProviders + const provider = strategyProviders?.find(provider => provider.declaration.identity.name === data.agent_strategy_provider_name) + const strategy = provider?.declaration.strategies?.find(s => s.identity.name === data.agent_strategy_name) + moreDataForCheckValid = { + provider, + strategy, + language, + isReadyForCheckValid, + } + } + if (node.type === CUSTOM_NODE) { const { errorMessage } = nodesExtraData[node.data.type].checkValid(node.data, t, moreDataForCheckValid) @@ -92,7 +108,7 @@ export const useChecklist = (nodes: Node[], edges: Edge[]) => { } return list - }, [t, nodes, edges, nodesExtraData, buildInTools, customTools, workflowTools, language, isChatMode]) + }, [nodes, edges, isChatMode, buildInTools, customTools, workflowTools, language, nodesExtraData, t, strategyProviders]) return needWarningNodes } @@ -107,6 +123,7 @@ export const useChecklistBeforePublish = () => { const isChatMode = useIsChatMode() const store = useStoreApi() const nodesExtraData = useNodesExtraData() + const { data: strategyProviders } = useStrategyProviders() const handleCheckBeforePublish = useCallback(() => { const { @@ -130,6 +147,19 @@ export const useChecklistBeforePublish = () => { if (node.data.type === BlockEnum.Tool) moreDataForCheckValid = getToolCheckParams(node.data as ToolNodeType, buildInTools, customTools, workflowTools, language) + if (node.data.type === BlockEnum.Agent) { + const data = node.data as AgentNodeType + const isReadyForCheckValid = !!strategyProviders + const provider = strategyProviders?.find(provider => provider.declaration.identity.name === data.agent_strategy_provider_name) + const strategy = provider?.declaration.strategies?.find(s => s.identity.name === data.agent_strategy_name) + moreDataForCheckValid = { + provider, + strategy, + language, + isReadyForCheckValid, + } + } + const { errorMessage } = nodesExtraData[node.data.type as BlockEnum].checkValid(node.data, t, moreDataForCheckValid) if (errorMessage) { @@ -154,7 +184,7 @@ export const useChecklistBeforePublish = () => { } return true - }, [nodesExtraData, notify, t, store, isChatMode, buildInTools, customTools, workflowTools, language]) + }, [store, isChatMode, notify, t, buildInTools, customTools, workflowTools, language, nodesExtraData, strategyProviders]) return { handleCheckBeforePublish, diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/index.ts b/web/app/components/workflow/hooks/use-workflow-run-event/index.ts new file mode 100644 index 00000000000000..70528f7e79b34d --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/index.ts @@ -0,0 +1,12 @@ +export * from './use-workflow-started' +export * from './use-workflow-finished' +export * from './use-workflow-failed' +export * from './use-workflow-node-started' +export * from './use-workflow-node-finished' +export * from './use-workflow-node-iteration-started' +export * from './use-workflow-node-iteration-next' +export * from './use-workflow-node-iteration-finished' +export * from './use-workflow-node-retry' +export * from './use-workflow-text-chunk' +export * from './use-workflow-text-replace' +export * from './use-workflow-agent-log' diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-agent-log.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-agent-log.ts new file mode 100644 index 00000000000000..9a9fa628c077c5 --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-agent-log.ts @@ -0,0 +1,50 @@ +import { useCallback } from 'react' +import produce from 'immer' +import type { AgentLogResponse } from '@/types/workflow' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowAgentLog = () => { + const workflowStore = useWorkflowStore() + + const handleWorkflowAgentLog = useCallback((params: AgentLogResponse) => { + const { data } = params + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + const currentIndex = draft.tracing!.findIndex(item => item.node_id === data.node_id) + if (currentIndex > -1) { + const current = draft.tracing![currentIndex] + + if (current.execution_metadata) { + if (current.execution_metadata.agent_log) { + const currentLogIndex = current.execution_metadata.agent_log.findIndex(log => log.id === data.id) + if (currentLogIndex > -1) { + current.execution_metadata.agent_log[currentLogIndex] = { + ...current.execution_metadata.agent_log[currentLogIndex], + ...data, + } + } + else { + current.execution_metadata.agent_log.push(data) + } + } + else { + current.execution_metadata.agent_log = [data] + } + } + else { + current.execution_metadata = { + agent_log: [data], + } as any + } + } + })) + }, [workflowStore]) + + return { + handleWorkflowAgentLog, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-failed.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-failed.ts new file mode 100644 index 00000000000000..733f0152a6dd6e --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-failed.ts @@ -0,0 +1,26 @@ +import { useCallback } from 'react' +import produce from 'immer' +import { useWorkflowStore } from '@/app/components/workflow/store' +import { WorkflowRunningStatus } from '@/app/components/workflow/types' + +export const useWorkflowFailed = () => { + const workflowStore = useWorkflowStore() + + const handleWorkflowFailed = useCallback(() => { + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.result = { + ...draft.result, + status: WorkflowRunningStatus.Failed, + } + })) + }, [workflowStore]) + + return { + handleWorkflowFailed, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-finished.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-finished.ts new file mode 100644 index 00000000000000..f4470310477197 --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-finished.ts @@ -0,0 +1,35 @@ +import { useCallback } from 'react' +import produce from 'immer' +import type { WorkflowFinishedResponse } from '@/types/workflow' +import { useWorkflowStore } from '@/app/components/workflow/store' +import { getFilesInLogs } from '@/app/components/base/file-uploader/utils' + +export const useWorkflowFinished = () => { + const workflowStore = useWorkflowStore() + + const handleWorkflowFinished = useCallback((params: WorkflowFinishedResponse) => { + const { data } = params + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + + const isStringOutput = data.outputs && Object.keys(data.outputs).length === 1 && typeof data.outputs[Object.keys(data.outputs)[0]] === 'string' + + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.result = { + ...draft.result, + ...data, + files: getFilesInLogs(data.outputs), + } as any + if (isStringOutput) { + draft.resultTabActive = true + draft.resultText = data.outputs[Object.keys(data.outputs)[0]] + } + })) + }, [workflowStore]) + + return { + handleWorkflowFinished, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-finished.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-finished.ts new file mode 100644 index 00000000000000..b8490ff14c7deb --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-finished.ts @@ -0,0 +1,72 @@ +import { useCallback } from 'react' +import { useStoreApi } from 'reactflow' +import produce from 'immer' +import type { NodeFinishedResponse } from '@/types/workflow' +import { + BlockEnum, + NodeRunningStatus, +} from '@/app/components/workflow/types' +import { ErrorHandleTypeEnum } from '@/app/components/workflow/nodes/_base/components/error-handle/types' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowNodeFinished = () => { + const store = useStoreApi() + const workflowStore = useWorkflowStore() + + const handleWorkflowNodeFinished = useCallback((params: NodeFinishedResponse) => { + const { data } = params + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + const { + getNodes, + setNodes, + edges, + setEdges, + } = store.getState() + const nodes = getNodes() + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + const currentIndex = draft.tracing!.findIndex(item => item.id === data.id) + if (currentIndex > -1) { + draft.tracing![currentIndex] = { + ...draft.tracing![currentIndex], + ...data, + } + } + })) + + const newNodes = produce(nodes, (draft) => { + const currentNode = draft.find(node => node.id === data.node_id)! + currentNode.data._runningStatus = data.status + if (data.status === NodeRunningStatus.Exception) { + if (data.execution_metadata?.error_strategy === ErrorHandleTypeEnum.failBranch) + currentNode.data._runningBranchId = ErrorHandleTypeEnum.failBranch + } + else { + if (data.node_type === BlockEnum.IfElse) + currentNode.data._runningBranchId = data?.outputs?.selected_case_id + + if (data.node_type === BlockEnum.QuestionClassifier) + currentNode.data._runningBranchId = data?.outputs?.class_id + } + }) + setNodes(newNodes) + const newEdges = produce(edges, (draft) => { + const incomeEdges = draft.filter((edge) => { + return edge.target === data.node_id + }) + incomeEdges.forEach((edge) => { + edge.data = { + ...edge.data, + _targetRunningStatus: data.status as any, + } + }) + }) + setEdges(newEdges) + }, [store, workflowStore]) + + return { + handleWorkflowNodeFinished, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-finished.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-finished.ts new file mode 100644 index 00000000000000..fdf9e28587028e --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-finished.ts @@ -0,0 +1,46 @@ +import { useCallback } from 'react' +import { useStoreApi } from 'reactflow' +import produce from 'immer' +import type { IterationFinishedResponse } from '@/types/workflow' +import { useWorkflowStore } from '@/app/components/workflow/store' +import { DEFAULT_ITER_TIMES } from '@/app/components/workflow/constants' + +export const useWorkflowNodeIterationFinished = () => { + const store = useStoreApi() + const workflowStore = useWorkflowStore() + + const handleWorkflowNodeIterationFinished = useCallback((params: IterationFinishedResponse) => { + const { data } = params + const { + workflowRunningData, + setWorkflowRunningData, + setIterTimes, + } = workflowStore.getState() + const { + getNodes, + setNodes, + } = store.getState() + const nodes = getNodes() + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + const currentIndex = draft.tracing!.findIndex(item => item.id === data.id) + + if (currentIndex > -1) { + draft.tracing![currentIndex] = { + ...draft.tracing![currentIndex], + ...data, + } + } + })) + setIterTimes(DEFAULT_ITER_TIMES) + const newNodes = produce(nodes, (draft) => { + const currentNode = draft.find(node => node.id === data.node_id)! + + currentNode.data._runningStatus = data.status + }) + setNodes(newNodes) + }, [workflowStore, store]) + + return { + handleWorkflowNodeIterationFinished, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-next.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-next.ts new file mode 100644 index 00000000000000..454f822675a93d --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-next.ts @@ -0,0 +1,35 @@ +import { useCallback } from 'react' +import { useStoreApi } from 'reactflow' +import produce from 'immer' +import type { IterationNextResponse } from '@/types/workflow' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowNodeIterationNext = () => { + const store = useStoreApi() + const workflowStore = useWorkflowStore() + + const handleWorkflowNodeIterationNext = useCallback((params: IterationNextResponse) => { + const { + iterTimes, + setIterTimes, + } = workflowStore.getState() + + const { data } = params + const { + getNodes, + setNodes, + } = store.getState() + + const nodes = getNodes() + const newNodes = produce(nodes, (draft) => { + const currentNode = draft.find(node => node.id === data.node_id)! + currentNode.data._iterationIndex = iterTimes + setIterTimes(iterTimes + 1) + }) + setNodes(newNodes) + }, [workflowStore, store]) + + return { + handleWorkflowNodeIterationNext, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-started.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-started.ts new file mode 100644 index 00000000000000..0308f62b319e6f --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-iteration-started.ts @@ -0,0 +1,85 @@ +import { useCallback } from 'react' +import { + useReactFlow, + useStoreApi, +} from 'reactflow' +import produce from 'immer' +import { useWorkflowStore } from '@/app/components/workflow/store' +import type { IterationStartedResponse } from '@/types/workflow' +import { NodeRunningStatus } from '@/app/components/workflow/types' +import { DEFAULT_ITER_TIMES } from '@/app/components/workflow/constants' + +export const useWorkflowNodeIterationStarted = () => { + const store = useStoreApi() + const reactflow = useReactFlow() + const workflowStore = useWorkflowStore() + + const handleWorkflowNodeIterationStarted = useCallback(( + params: IterationStartedResponse, + containerParams: { + clientWidth: number, + clientHeight: number, + }, + ) => { + const { data } = params + const { + workflowRunningData, + setWorkflowRunningData, + setIterTimes, + } = workflowStore.getState() + const { + getNodes, + setNodes, + edges, + setEdges, + transform, + } = store.getState() + const nodes = getNodes() + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.tracing!.push({ + ...data, + status: NodeRunningStatus.Running, + }) + })) + setIterTimes(DEFAULT_ITER_TIMES) + + const { + setViewport, + } = reactflow + const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id) + const currentNode = nodes[currentNodeIndex] + const position = currentNode.position + const zoom = transform[2] + + if (!currentNode.parentId) { + setViewport({ + x: (containerParams.clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom, + y: (containerParams.clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom, + zoom: transform[2], + }) + } + const newNodes = produce(nodes, (draft) => { + draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running + draft[currentNodeIndex].data._iterationLength = data.metadata.iterator_length + draft[currentNodeIndex].data._waitingRun = false + }) + setNodes(newNodes) + const newEdges = produce(edges, (draft) => { + const incomeEdges = draft.filter(edge => edge.target === data.node_id) + + incomeEdges.forEach((edge) => { + edge.data = { + ...edge.data, + _sourceRunningStatus: nodes.find(node => node.id === edge.source)!.data._runningStatus, + _targetRunningStatus: NodeRunningStatus.Running, + _waitingRun: false, + } + }) + }) + setEdges(newEdges) + }, [workflowStore, store, reactflow]) + + return { + handleWorkflowNodeIterationStarted, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-retry.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-retry.ts new file mode 100644 index 00000000000000..a57bfbce39a60e --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-retry.ts @@ -0,0 +1,39 @@ +import { useCallback } from 'react' +import { useStoreApi } from 'reactflow' +import produce from 'immer' +import type { + NodeFinishedResponse, +} from '@/types/workflow' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowNodeRetry = () => { + const store = useStoreApi() + const workflowStore = useWorkflowStore() + + const handleWorkflowNodeRetry = useCallback((params: NodeFinishedResponse) => { + const { data } = params + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + const { + getNodes, + setNodes, + } = store.getState() + + const nodes = getNodes() + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.tracing!.push(data) + })) + const newNodes = produce(nodes, (draft) => { + const currentNode = draft.find(node => node.id === data.node_id)! + + currentNode.data._retryIndex = data.retry_index + }) + setNodes(newNodes) + }, [workflowStore, store]) + + return { + handleWorkflowNodeRetry, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-started.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-started.ts new file mode 100644 index 00000000000000..b537ccbb27f699 --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-node-started.ts @@ -0,0 +1,89 @@ +import { useCallback } from 'react' +import { + useReactFlow, + useStoreApi, +} from 'reactflow' +import produce from 'immer' +import type { NodeStartedResponse } from '@/types/workflow' +import { NodeRunningStatus } from '@/app/components/workflow/types' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowNodeStarted = () => { + const store = useStoreApi() + const workflowStore = useWorkflowStore() + const reactflow = useReactFlow() + + const handleWorkflowNodeStarted = useCallback(( + params: NodeStartedResponse, + containerParams: { + clientWidth: number, + clientHeight: number, + }, + ) => { + const { data } = params + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + const { + getNodes, + setNodes, + edges, + setEdges, + transform, + } = store.getState() + const nodes = getNodes() + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.tracing!.push({ + ...data, + status: NodeRunningStatus.Running, + }) + })) + + const { + setViewport, + } = reactflow + const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id) + const currentNode = nodes[currentNodeIndex] + const position = currentNode.position + const zoom = transform[2] + + if (!currentNode.parentId) { + setViewport({ + x: (containerParams.clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom, + y: (containerParams.clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom, + zoom: transform[2], + }) + } + const newNodes = produce(nodes, (draft) => { + draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running + draft[currentNodeIndex].data._waitingRun = false + }) + setNodes(newNodes) + const newEdges = produce(edges, (draft) => { + const incomeEdges = draft.filter((edge) => { + return edge.target === data.node_id + }) + + incomeEdges.forEach((edge) => { + const incomeNode = nodes.find(node => node.id === edge.source)! + if ( + (!incomeNode.data._runningBranchId && edge.sourceHandle === 'source') + || (incomeNode.data._runningBranchId && edge.sourceHandle === incomeNode.data._runningBranchId) + ) { + edge.data = { + ...edge.data, + _sourceRunningStatus: incomeNode.data._runningStatus, + _targetRunningStatus: NodeRunningStatus.Running, + _waitingRun: false, + } + } + }) + }) + setEdges(newEdges) + }, [workflowStore, store, reactflow]) + + return { + handleWorkflowNodeStarted, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-run-event.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-run-event.ts new file mode 100644 index 00000000000000..8ba622081845cc --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-run-event.ts @@ -0,0 +1,44 @@ +import { + useWorkflowAgentLog, + useWorkflowFailed, + useWorkflowFinished, + useWorkflowNodeFinished, + useWorkflowNodeIterationFinished, + useWorkflowNodeIterationNext, + useWorkflowNodeIterationStarted, + useWorkflowNodeRetry, + useWorkflowNodeStarted, + useWorkflowStarted, + useWorkflowTextChunk, + useWorkflowTextReplace, +} from '.' + +export const useWorkflowRunEvent = () => { + const { handleWorkflowStarted } = useWorkflowStarted() + const { handleWorkflowFinished } = useWorkflowFinished() + const { handleWorkflowFailed } = useWorkflowFailed() + const { handleWorkflowNodeStarted } = useWorkflowNodeStarted() + const { handleWorkflowNodeFinished } = useWorkflowNodeFinished() + const { handleWorkflowNodeIterationStarted } = useWorkflowNodeIterationStarted() + const { handleWorkflowNodeIterationNext } = useWorkflowNodeIterationNext() + const { handleWorkflowNodeIterationFinished } = useWorkflowNodeIterationFinished() + const { handleWorkflowNodeRetry } = useWorkflowNodeRetry() + const { handleWorkflowTextChunk } = useWorkflowTextChunk() + const { handleWorkflowTextReplace } = useWorkflowTextReplace() + const { handleWorkflowAgentLog } = useWorkflowAgentLog() + + return { + handleWorkflowStarted, + handleWorkflowFinished, + handleWorkflowFailed, + handleWorkflowNodeStarted, + handleWorkflowNodeFinished, + handleWorkflowNodeIterationStarted, + handleWorkflowNodeIterationNext, + handleWorkflowNodeIterationFinished, + handleWorkflowNodeRetry, + handleWorkflowTextChunk, + handleWorkflowTextReplace, + handleWorkflowAgentLog, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-started.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-started.ts new file mode 100644 index 00000000000000..f9911313cc8c71 --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-started.ts @@ -0,0 +1,58 @@ +import { useCallback } from 'react' +import { useStoreApi } from 'reactflow' +import produce from 'immer' +import type { WorkflowStartedResponse } from '@/types/workflow' +import { WorkflowRunningStatus } from '@/app/components/workflow/types' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowStarted = () => { + const store = useStoreApi() + const workflowStore = useWorkflowStore() + + const handleWorkflowStarted = useCallback((params: WorkflowStartedResponse) => { + const { task_id, data } = params + const { + workflowRunningData, + setWorkflowRunningData, + setIterParallelLogMap, + } = workflowStore.getState() + const { + getNodes, + setNodes, + edges, + setEdges, + } = store.getState() + setIterParallelLogMap(new Map()) + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.task_id = task_id + draft.result = { + ...draft?.result, + ...data, + status: WorkflowRunningStatus.Running, + } + })) + const nodes = getNodes() + const newNodes = produce(nodes, (draft) => { + draft.forEach((node) => { + node.data._waitingRun = true + node.data._runningBranchId = undefined + }) + }) + setNodes(newNodes) + const newEdges = produce(edges, (draft) => { + draft.forEach((edge) => { + edge.data = { + ...edge.data, + _sourceRunningStatus: undefined, + _targetRunningStatus: undefined, + _waitingRun: true, + } + }) + }) + setEdges(newEdges) + }, [workflowStore, store]) + + return { + handleWorkflowStarted, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-chunk.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-chunk.ts new file mode 100644 index 00000000000000..c086e576970570 --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-chunk.ts @@ -0,0 +1,25 @@ +import { useCallback } from 'react' +import produce from 'immer' +import type { TextChunkResponse } from '@/types/workflow' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowTextChunk = () => { + const workflowStore = useWorkflowStore() + + const handleWorkflowTextChunk = useCallback((params: TextChunkResponse) => { + const { data: { text } } = params + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.resultTabActive = true + draft.resultText += text + })) + }, [workflowStore]) + + return { + handleWorkflowTextChunk, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-replace.ts b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-replace.ts new file mode 100644 index 00000000000000..a00530932dbdd0 --- /dev/null +++ b/web/app/components/workflow/hooks/use-workflow-run-event/use-workflow-text-replace.ts @@ -0,0 +1,23 @@ +import { useCallback } from 'react' +import produce from 'immer' +import type { TextReplaceResponse } from '@/types/workflow' +import { useWorkflowStore } from '@/app/components/workflow/store' + +export const useWorkflowTextReplace = () => { + const workflowStore = useWorkflowStore() + + const handleWorkflowTextReplace = useCallback((params: TextReplaceResponse) => { + const { data: { text } } = params + const { + workflowRunningData, + setWorkflowRunningData, + } = workflowStore.getState() + setWorkflowRunningData(produce(workflowRunningData!, (draft) => { + draft.resultText = text + })) + }, [workflowStore]) + + return { + handleWorkflowTextReplace, + } +} diff --git a/web/app/components/workflow/hooks/use-workflow-run.ts b/web/app/components/workflow/hooks/use-workflow-run.ts index 53a6b5846552f4..8ed5583c5b3d96 100644 --- a/web/app/components/workflow/hooks/use-workflow-run.ts +++ b/web/app/components/workflow/hooks/use-workflow-run.ts @@ -8,24 +8,16 @@ import { v4 as uuidV4 } from 'uuid' import { usePathname } from 'next/navigation' import { useWorkflowStore } from '../store' import { useNodesSyncDraft } from '../hooks' -import { - BlockEnum, - NodeRunningStatus, - WorkflowRunningStatus, -} from '../types' -import { DEFAULT_ITER_TIMES } from '../constants' +import { WorkflowRunningStatus } from '../types' import { useWorkflowUpdate } from './use-workflow-interactions' +import { useWorkflowRunEvent } from './use-workflow-run-event/use-workflow-run-event' import { useStore as useAppStore } from '@/app/components/app/store' import type { IOtherOptions } from '@/service/base' import { ssePost } from '@/service/base' import { stopWorkflowRun } from '@/service/workflow' import { useFeaturesStore } from '@/app/components/base/features/hooks' import { AudioPlayerManager } from '@/app/components/base/audio-btn/audio.player.manager' -import { - getFilesInLogs, -} from '@/app/components/base/file-uploader/utils' -import { ErrorHandleTypeEnum } from '@/app/components/workflow/nodes/_base/components/error-handle/types' -import type { NodeTracing, VersionHistory } from '@/types/workflow' +import type { VersionHistory } from '@/types/workflow' export const useWorkflowRun = () => { const store = useStoreApi() @@ -35,6 +27,20 @@ export const useWorkflowRun = () => { const { doSyncWorkflowDraft } = useNodesSyncDraft() const { handleUpdateWorkflowCanvas } = useWorkflowUpdate() const pathname = usePathname() + const { + handleWorkflowStarted, + handleWorkflowFinished, + handleWorkflowFailed, + handleWorkflowNodeStarted, + handleWorkflowNodeFinished, + handleWorkflowNodeIterationStarted, + handleWorkflowNodeIterationNext, + handleWorkflowNodeIterationFinished, + handleWorkflowNodeRetry, + handleWorkflowAgentLog, + handleWorkflowTextChunk, + handleWorkflowTextReplace, + } = useWorkflowRunEvent() const handleBackupDraft = useCallback(() => { const { @@ -113,6 +119,7 @@ export const useWorkflowRun = () => { onIterationNext, onIterationFinish, onNodeRetry, + onAgentLog, onError, ...restCallback } = callback || {} @@ -132,8 +139,6 @@ export const useWorkflowRun = () => { if (appDetail?.mode === 'workflow') url = `/apps/${appDetail.id}/workflows/draft/run` - let prevNodeId = '' - const { setWorkflowRunningData, } = workflowStore.getState() @@ -166,584 +171,96 @@ export const useWorkflowRun = () => { }, { onWorkflowStarted: (params) => { - const { task_id, data } = params - const { - workflowRunningData, - setWorkflowRunningData, - setIterParallelLogMap, - } = workflowStore.getState() - const { - getNodes, - setNodes, - edges, - setEdges, - } = store.getState() - setIterParallelLogMap(new Map()) - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - draft.task_id = task_id - draft.result = { - ...draft?.result, - ...data, - status: WorkflowRunningStatus.Running, - } - })) - const nodes = getNodes() - const newNodes = produce(nodes, (draft) => { - draft.forEach((node) => { - node.data._waitingRun = true - node.data._runningBranchId = undefined - }) - }) - setNodes(newNodes) - const newEdges = produce(edges, (draft) => { - draft.forEach((edge) => { - edge.data = { - ...edge.data, - _sourceRunningStatus: undefined, - _targetRunningStatus: undefined, - _waitingRun: true, - } - }) - }) - setEdges(newEdges) + handleWorkflowStarted(params) if (onWorkflowStarted) onWorkflowStarted(params) }, onWorkflowFinished: (params) => { - const { data } = params - const { - workflowRunningData, - setWorkflowRunningData, - } = workflowStore.getState() - - const isStringOutput = data.outputs && Object.keys(data.outputs).length === 1 && typeof data.outputs[Object.keys(data.outputs)[0]] === 'string' - - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - draft.result = { - ...draft.result, - ...data, - files: getFilesInLogs(data.outputs), - } as any - if (isStringOutput) { - draft.resultTabActive = true - draft.resultText = data.outputs[Object.keys(data.outputs)[0]] - } - })) - - prevNodeId = '' + handleWorkflowFinished(params) if (onWorkflowFinished) onWorkflowFinished(params) }, onError: (params) => { - const { - workflowRunningData, - setWorkflowRunningData, - } = workflowStore.getState() - - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - draft.result = { - ...draft.result, - status: WorkflowRunningStatus.Failed, - } - })) + handleWorkflowFailed() if (onError) onError(params) }, onNodeStarted: (params) => { - const { data } = params - const { - workflowRunningData, - setWorkflowRunningData, - iterParallelLogMap, - setIterParallelLogMap, - } = workflowStore.getState() - const { - getNodes, - setNodes, - edges, - setEdges, - transform, - } = store.getState() - const nodes = getNodes() - const node = nodes.find(node => node.id === data.node_id) - if (node?.parentId) { - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const tracing = draft.tracing! - const iterations = tracing.find(trace => trace.node_id === node?.parentId) - const currIteration = iterations?.details![node.data.iteration_index] || iterations?.details![iterations.details!.length - 1] - if (!data.parallel_run_id) { - currIteration?.push({ - ...data, - status: NodeRunningStatus.Running, - } as any) - } - else { - const nodeId = iterations?.node_id as string - if (!iterParallelLogMap.has(nodeId as string)) - iterParallelLogMap.set(iterations?.node_id as string, new Map()) - - const currentIterLogMap = iterParallelLogMap.get(nodeId)! - if (!currentIterLogMap.has(data.parallel_run_id)) - currentIterLogMap.set(data.parallel_run_id, [{ ...data, status: NodeRunningStatus.Running } as any]) - else - currentIterLogMap.get(data.parallel_run_id)!.push({ ...data, status: NodeRunningStatus.Running } as any) - setIterParallelLogMap(iterParallelLogMap) - if (iterations) - iterations.details = Array.from(currentIterLogMap.values()) - } - })) - } - else { - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - draft.tracing!.push({ - ...data, - status: NodeRunningStatus.Running, - } as any) - })) - - const { - setViewport, - } = reactflow - const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id) - const currentNode = nodes[currentNodeIndex] - const position = currentNode.position - const zoom = transform[2] + handleWorkflowNodeStarted( + params, + { + clientWidth, + clientHeight, + }, + ) - if (!currentNode.parentId) { - setViewport({ - x: (clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom, - y: (clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom, - zoom: transform[2], - }) - } - const newNodes = produce(nodes, (draft) => { - draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running - draft[currentNodeIndex].data._waitingRun = false - }) - setNodes(newNodes) - const newEdges = produce(edges, (draft) => { - const incomeEdges = draft.filter((edge) => { - return edge.target === data.node_id - }) - - incomeEdges.forEach((edge) => { - const incomeNode = nodes.find(node => node.id === edge.source)! - if ( - (!incomeNode.data._runningBranchId && edge.sourceHandle === 'source') - || (incomeNode.data._runningBranchId && edge.sourceHandle === incomeNode.data._runningBranchId) - ) { - edge.data = { - ...edge.data, - _sourceRunningStatus: incomeNode.data._runningStatus, - _targetRunningStatus: NodeRunningStatus.Running, - _waitingRun: false, - } - } - }) - }) - setEdges(newEdges) - } if (onNodeStarted) onNodeStarted(params) }, onNodeFinished: (params) => { - const { data } = params - const { - workflowRunningData, - setWorkflowRunningData, - iterParallelLogMap, - setIterParallelLogMap, - } = workflowStore.getState() - const { - getNodes, - setNodes, - edges, - setEdges, - } = store.getState() - const nodes = getNodes() - const nodeParentId = nodes.find(node => node.id === data.node_id)!.parentId - if (nodeParentId) { - if (!data.execution_metadata.parallel_mode_run_id) { - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const tracing = draft.tracing! - const iterations = tracing.find(trace => trace.node_id === nodeParentId) // the iteration node - - if (iterations && iterations.details) { - const iterationIndex = data.execution_metadata?.iteration_index || 0 - if (!iterations.details[iterationIndex]) - iterations.details[iterationIndex] = [] - - const currIteration = iterations.details[iterationIndex] - const nodeIndex = currIteration.findIndex(node => - node.node_id === data.node_id && ( - node.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || node.parallel_id === data.execution_metadata?.parallel_id), - ) - if (nodeIndex !== -1) { - currIteration[nodeIndex] = { - ...currIteration[nodeIndex], - ...(currIteration[nodeIndex].retryDetail - ? { retryDetail: currIteration[nodeIndex].retryDetail } - : {}), - ...data, - } as any - } - else { - currIteration.push({ - ...data, - } as any) - } - } - })) - } - else { - // open parallel mode - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const tracing = draft.tracing! - const iterations = tracing.find(trace => trace.node_id === nodeParentId) // the iteration node - - if (iterations && iterations.details) { - const iterRunID = data.execution_metadata?.parallel_mode_run_id - - const currIteration = iterParallelLogMap.get(iterations.node_id)?.get(iterRunID) - const nodeIndex = currIteration?.findIndex(node => - node.node_id === data.node_id && ( - node?.parallel_run_id === data.execution_metadata?.parallel_mode_run_id), - ) - if (currIteration) { - if (nodeIndex !== undefined && nodeIndex !== -1) { - currIteration[nodeIndex] = { - ...currIteration[nodeIndex], - ...data, - } as any - } - else { - currIteration.push({ - ...data, - } as any) - } - } - setIterParallelLogMap(iterParallelLogMap) - const iterLogMap = iterParallelLogMap.get(iterations.node_id) - if (iterLogMap) - iterations.details = Array.from(iterLogMap.values()) - } - })) - } - } - else { - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const currentIndex = draft.tracing!.findIndex((trace) => { - if (!trace.execution_metadata?.parallel_id) - return trace.node_id === data.node_id - return trace.node_id === data.node_id && trace.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id - }) - if (currentIndex > -1 && draft.tracing) { - draft.tracing[currentIndex] = { - ...data, - ...(draft.tracing[currentIndex].extras - ? { extras: draft.tracing[currentIndex].extras } - : {}), - ...(draft.tracing[currentIndex].retryDetail - ? { retryDetail: draft.tracing[currentIndex].retryDetail } - : {}), - } as any - } - })) - const newNodes = produce(nodes, (draft) => { - const currentNode = draft.find(node => node.id === data.node_id)! - currentNode.data._runningStatus = data.status as any - if (data.status === NodeRunningStatus.Exception) { - if (data.execution_metadata.error_strategy === ErrorHandleTypeEnum.failBranch) - currentNode.data._runningBranchId = ErrorHandleTypeEnum.failBranch - } - else { - if (data.node_type === BlockEnum.IfElse) - currentNode.data._runningBranchId = data?.outputs?.selected_case_id - - if (data.node_type === BlockEnum.QuestionClassifier) - currentNode.data._runningBranchId = data?.outputs?.class_id - } - }) - setNodes(newNodes) - const newEdges = produce(edges, (draft) => { - const incomeEdges = draft.filter((edge) => { - return edge.target === data.node_id - }) - incomeEdges.forEach((edge) => { - edge.data = { - ...edge.data, - _targetRunningStatus: data.status as any, - } - }) - }) - setEdges(newEdges) - prevNodeId = data.node_id - } + handleWorkflowNodeFinished(params) if (onNodeFinished) onNodeFinished(params) }, onIterationStart: (params) => { - const { data } = params - const { - workflowRunningData, - setWorkflowRunningData, - setIterTimes, - } = workflowStore.getState() - const { - getNodes, - setNodes, - edges, - setEdges, - transform, - } = store.getState() - const nodes = getNodes() - setIterTimes(DEFAULT_ITER_TIMES) - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - draft.tracing!.push({ - ...data, - status: NodeRunningStatus.Running, - details: [], - iterDurationMap: {}, - } as any) - })) - - const { - setViewport, - } = reactflow - const currentNodeIndex = nodes.findIndex(node => node.id === data.node_id) - const currentNode = nodes[currentNodeIndex] - const position = currentNode.position - const zoom = transform[2] - - if (!currentNode.parentId) { - setViewport({ - x: (clientWidth - 400 - currentNode.width! * zoom) / 2 - position.x * zoom, - y: (clientHeight - currentNode.height! * zoom) / 2 - position.y * zoom, - zoom: transform[2], - }) - } - const newNodes = produce(nodes, (draft) => { - draft[currentNodeIndex].data._runningStatus = NodeRunningStatus.Running - draft[currentNodeIndex].data._iterationLength = data.metadata.iterator_length - draft[currentNodeIndex].data._waitingRun = false - }) - setNodes(newNodes) - const newEdges = produce(edges, (draft) => { - const incomeEdges = draft.filter(edge => edge.target === data.node_id) - - incomeEdges.forEach((edge) => { - edge.data = { - ...edge.data, - _sourceRunningStatus: nodes.find(node => node.id === edge.source)!.data._runningStatus, - _targetRunningStatus: NodeRunningStatus.Running, - _waitingRun: false, - } - }) - }) - setEdges(newEdges) + handleWorkflowNodeIterationStarted( + params, + { + clientWidth, + clientHeight, + }, + ) if (onIterationStart) onIterationStart(params) }, onIterationNext: (params) => { - const { - workflowRunningData, - setWorkflowRunningData, - iterTimes, - setIterTimes, - } = workflowStore.getState() - - const { data } = params - const { - getNodes, - setNodes, - } = store.getState() - - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const iteration = draft.tracing!.find(trace => trace.node_id === data.node_id) - if (iteration) { - if (iteration.iterDurationMap && data.duration) - iteration.iterDurationMap[data.parallel_mode_run_id ?? `${data.index - 1}`] = data.duration - if (iteration.details!.length >= iteration.metadata.iterator_length!) - return - } - if (!data.parallel_mode_run_id) - iteration?.details!.push([]) - })) - const nodes = getNodes() - const newNodes = produce(nodes, (draft) => { - const currentNode = draft.find(node => node.id === data.node_id)! - currentNode.data._iterationIndex = iterTimes - setIterTimes(iterTimes + 1) - }) - setNodes(newNodes) + handleWorkflowNodeIterationNext(params) if (onIterationNext) onIterationNext(params) }, onIterationFinish: (params) => { - const { data } = params - - const { - workflowRunningData, - setWorkflowRunningData, - setIterTimes, - } = workflowStore.getState() - const { - getNodes, - setNodes, - } = store.getState() - const nodes = getNodes() - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const tracing = draft.tracing! - const currIterationNode = tracing.find(trace => trace.node_id === data.node_id) - if (currIterationNode) { - Object.assign(currIterationNode, { - ...data, - status: NodeRunningStatus.Succeeded, - }) - } - })) - setIterTimes(DEFAULT_ITER_TIMES) - const newNodes = produce(nodes, (draft) => { - const currentNode = draft.find(node => node.id === data.node_id)! - - currentNode.data._runningStatus = data.status - }) - setNodes(newNodes) - - prevNodeId = data.node_id + handleWorkflowNodeIterationFinished(params) if (onIterationFinish) onIterationFinish(params) }, onNodeRetry: (params) => { - const { data } = params - const { - workflowRunningData, - setWorkflowRunningData, - iterParallelLogMap, - setIterParallelLogMap, - } = workflowStore.getState() - const { - getNodes, - setNodes, - } = store.getState() - - const nodes = getNodes() - const currentNode = nodes.find(node => node.id === data.node_id)! - const nodeParent = nodes.find(node => node.id === currentNode.parentId) - if (nodeParent) { - if (!data.execution_metadata.parallel_mode_run_id) { - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const tracing = draft.tracing! - const iteration = tracing.find(trace => trace.node_id === nodeParent.id) - - if (iteration && iteration.details?.length) { - const currentNodeRetry = iteration.details[nodeParent.data._iterationIndex - 1]?.find(item => item.node_id === data.node_id) - - if (currentNodeRetry) { - if (currentNodeRetry?.retryDetail) - currentNodeRetry?.retryDetail.push(data as NodeTracing) - else - currentNodeRetry.retryDetail = [data as NodeTracing] - } - } - })) - } - else { - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const tracing = draft.tracing! - const iteration = tracing.find(trace => trace.node_id === nodeParent.id) - - if (iteration && iteration.details?.length) { - const iterRunID = data.execution_metadata?.parallel_mode_run_id - - const currIteration = iterParallelLogMap.get(iteration.node_id)?.get(iterRunID) - const currentNodeRetry = currIteration?.find(item => item.node_id === data.node_id) - - if (currentNodeRetry) { - if (currentNodeRetry?.retryDetail) - currentNodeRetry?.retryDetail.push(data as NodeTracing) - else - currentNodeRetry.retryDetail = [data as NodeTracing] - } - setIterParallelLogMap(iterParallelLogMap) - const iterLogMap = iterParallelLogMap.get(iteration.node_id) - if (iterLogMap) - iteration.details = Array.from(iterLogMap.values()) - } - })) - } - } - else { - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - const tracing = draft.tracing! - const currentRetryNodeIndex = tracing.findIndex(trace => trace.node_id === data.node_id) - - if (currentRetryNodeIndex > -1) { - const currentRetryNode = tracing[currentRetryNodeIndex] - if (currentRetryNode.retryDetail) - draft.tracing![currentRetryNodeIndex].retryDetail!.push(data as NodeTracing) - else - draft.tracing![currentRetryNodeIndex].retryDetail = [data as NodeTracing] - } - })) - } - const newNodes = produce(nodes, (draft) => { - const currentNode = draft.find(node => node.id === data.node_id)! - - currentNode.data._retryIndex = data.retry_index - }) - setNodes(newNodes) + handleWorkflowNodeRetry(params) if (onNodeRetry) onNodeRetry(params) }, - onParallelBranchStarted: (params) => { - // console.log(params, 'parallel start') - }, - onParallelBranchFinished: (params) => { - // console.log(params, 'finished') + onAgentLog: (params) => { + handleWorkflowAgentLog(params) + + if (onAgentLog) + onAgentLog(params) }, onTextChunk: (params) => { - const { data: { text } } = params - const { - workflowRunningData, - setWorkflowRunningData, - } = workflowStore.getState() - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - draft.resultTabActive = true - draft.resultText += text - })) + handleWorkflowTextChunk(params) }, onTextReplace: (params) => { - const { data: { text } } = params - const { - workflowRunningData, - setWorkflowRunningData, - } = workflowStore.getState() - setWorkflowRunningData(produce(workflowRunningData!, (draft) => { - draft.resultText = text - })) + handleWorkflowTextReplace(params) }, - onTTSChunk: (messageId: string, audio: string, audioType?: string) => { + onTTSChunk: (messageId: string, audio: string) => { if (!audio || audio === '') return player.playAudioWithAudio(audio, true) AudioPlayerManager.getInstance().resetMsgId(messageId) }, - onTTSEnd: (messageId: string, audio: string, audioType?: string) => { + onTTSEnd: (messageId: string, audio: string) => { player.playAudioWithAudio(audio, false) }, ...restCallback, }, ) - }, [store, reactflow, workflowStore, doSyncWorkflowDraft]) + }, [store, workflowStore, doSyncWorkflowDraft, handleWorkflowStarted, handleWorkflowFinished, handleWorkflowFailed, handleWorkflowNodeStarted, handleWorkflowNodeFinished, handleWorkflowNodeIterationStarted, handleWorkflowNodeIterationNext, handleWorkflowNodeIterationFinished, handleWorkflowNodeRetry, handleWorkflowTextChunk, handleWorkflowTextReplace, handleWorkflowAgentLog, pathname]) const handleStopRun = useCallback((taskId: string) => { const appId = useAppStore.getState().appDetail?.id diff --git a/web/app/components/workflow/hooks/use-workflow.ts b/web/app/components/workflow/hooks/use-workflow.ts index 2eafb4ad40419e..0f6ae59b6e33a1 100644 --- a/web/app/components/workflow/hooks/use-workflow.ts +++ b/web/app/components/workflow/hooks/use-workflow.ts @@ -484,7 +484,6 @@ export const useWorkflowInit = () => { return acc }, {} as Record<string, string>), environmentVariables: res.environment_variables?.map(env => env.value_type === 'secret' ? { ...env, value: '[__HIDDEN__]' } : env) || [], - // #TODO chatVar sync# conversationVariables: res.conversation_variables || [], }) setSyncWorkflowDraftHash(res.hash) diff --git a/web/app/components/workflow/index.tsx b/web/app/components/workflow/index.tsx index 2a0572becc1201..0510109b397b67 100644 --- a/web/app/components/workflow/index.tsx +++ b/web/app/components/workflow/index.tsx @@ -72,6 +72,7 @@ import SyncingDataModal from './syncing-data-modal' import UpdateDSLModal from './update-dsl-modal' import DSLExportConfirmModal from './dsl-export-confirm-modal' import LimitTips from './limit-tips' +import PluginDependency from './plugin-dependency' import { useStore, useWorkflowStore, @@ -327,6 +328,7 @@ const Workflow: FC<WorkflowProps> = memo(({ ) } <LimitTips /> + <PluginDependency /> <ReactFlow nodeTypes={nodeTypes} edgeTypes={edgeTypes} diff --git a/web/app/components/workflow/nodes/_base/components/add-button.tsx b/web/app/components/workflow/nodes/_base/components/add-button.tsx index 1e7323c8d79cac..c7fdcaa0095901 100644 --- a/web/app/components/workflow/nodes/_base/components/add-button.tsx +++ b/web/app/components/workflow/nodes/_base/components/add-button.tsx @@ -7,7 +7,7 @@ import { import cn from '@/utils/classnames' import Button from '@/app/components/base/button' -type Props = { +interface Props { className?: string text: string onClick: () => void diff --git a/web/app/components/workflow/nodes/_base/components/agent-strategy-selector.tsx b/web/app/components/workflow/nodes/_base/components/agent-strategy-selector.tsx new file mode 100644 index 00000000000000..a96654c4d9cce4 --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/agent-strategy-selector.tsx @@ -0,0 +1,228 @@ +import { PortalToFollowElem, PortalToFollowElemContent, PortalToFollowElemTrigger } from '@/app/components/base/portal-to-follow-elem' +import type { ReactNode } from 'react' +import { memo, useEffect, useMemo, useRef, useState } from 'react' +import type { Strategy } from './agent-strategy' +import classNames from '@/utils/classnames' +import { RiArrowDownSLine, RiErrorWarningFill } from '@remixicon/react' +import Tooltip from '@/app/components/base/tooltip' +import Link from 'next/link' +import { InstallPluginButton } from './install-plugin-button' +import ViewTypeSelect, { ViewType } from '../../../block-selector/view-type-select' +import SearchInput from '@/app/components/base/search-input' +import Tools from '../../../block-selector/tools' +import { useTranslation } from 'react-i18next' +import { useStrategyProviders } from '@/service/use-strategy' +import { PluginType, type StrategyPluginDetail } from '@/app/components/plugins/types' +import type { ToolWithProvider } from '../../../types' +import { CollectionType } from '@/app/components/tools/types' +import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon' +import { useStrategyInfo } from '../../agent/use-config' +import { SwitchPluginVersion } from './switch-plugin-version' +import PluginList from '@/app/components/workflow/block-selector/market-place-plugin/list' +import { useMarketplacePlugins } from '@/app/components/plugins/marketplace/hooks' +import { ToolTipContent } from '@/app/components/base/tooltip/content' + +const NotFoundWarn = (props: { + title: ReactNode, + description: ReactNode +}) => { + const { title, description } = props + + const { t } = useTranslation() + return <Tooltip + popupContent={ + <div className='space-y-1 text-xs'> + <h3 className='text-text-primary font-semibold'> + {title} + </h3> + <p className='text-text-secondary tracking-tight'> + {description} + </p> + <p> + <Link href={'/plugins'} className='text-text-accent tracking-tight'> + {t('workflow.nodes.agent.linkToPlugin')} + </Link> + </p> + </div> + } + needsDelay + > + <div> + <RiErrorWarningFill className='text-text-destructive size-4' /> + </div> + </Tooltip> +} + +function formatStrategy(input: StrategyPluginDetail[], getIcon: (i: string) => string): ToolWithProvider[] { + return input.map((item) => { + const res: ToolWithProvider = { + id: item.plugin_unique_identifier, + author: item.declaration.identity.author, + name: item.declaration.identity.name, + description: item.declaration.identity.description as any, + plugin_id: item.plugin_id, + icon: getIcon(item.declaration.identity.icon), + label: item.declaration.identity.label as any, + type: CollectionType.all, + tools: item.declaration.strategies.map(strategy => ({ + name: strategy.identity.name, + author: strategy.identity.author, + label: strategy.identity.label as any, + description: strategy.description, + parameters: strategy.parameters as any, + output_schema: strategy.output_schema, + labels: [], + })), + team_credentials: {}, + is_team_authorization: true, + allow_delete: false, + labels: [], + } + return res + }) +} + +export type AgentStrategySelectorProps = { + value?: Strategy, + onChange: (value?: Strategy) => void, +} + +export const AgentStrategySelector = memo((props: AgentStrategySelectorProps) => { + const { value, onChange } = props + const [open, setOpen] = useState(false) + const [viewType, setViewType] = useState<ViewType>(ViewType.flat) + const [query, setQuery] = useState('') + const stra = useStrategyProviders() + const { getIconUrl } = useGetIcon() + const list = stra.data ? formatStrategy(stra.data, getIconUrl) : undefined + const filteredTools = useMemo(() => { + if (!list) return [] + return list.filter(tool => tool.name.toLowerCase().includes(query.toLowerCase())) + }, [query, list]) + const { strategyStatus, refetch: refetchStrategyInfo } = useStrategyInfo( + value?.agent_strategy_provider_name, + value?.agent_strategy_name, + ) + + const showPluginNotInstalledWarn = strategyStatus?.plugin?.source === 'external' + && !strategyStatus.plugin.installed && !!value + + const showUnsupportedStrategy = strategyStatus?.plugin.source === 'external' + && !strategyStatus?.isExistInPlugin && !!value + + const showSwitchVersion = !strategyStatus?.isExistInPlugin + && strategyStatus?.plugin.source === 'marketplace' && strategyStatus.plugin.installed && !!value + + const showInstallButton = !strategyStatus?.isExistInPlugin + && strategyStatus?.plugin.source === 'marketplace' && !strategyStatus.plugin.installed && !!value + + const icon = list?.find( + coll => coll.tools?.find(tool => tool.name === value?.agent_strategy_name), + )?.icon as string | undefined + const { t } = useTranslation() + + const wrapElemRef = useRef<HTMLDivElement>(null) + + const { + queryPluginsWithDebounced: fetchPlugins, + plugins: notInstalledPlugins = [], + } = useMarketplacePlugins() + + useEffect(() => { + if (query) { + fetchPlugins({ + query, + category: PluginType.agent, + }) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [query]) + + const pluginRef = useRef(null) + + return <PortalToFollowElem open={open} onOpenChange={setOpen} placement='bottom'> + <PortalToFollowElemTrigger className='w-full'> + <div + className='h-8 p-1 gap-0.5 flex items-center rounded-lg bg-components-input-bg-normal w-full hover:bg-state-base-hover-alt select-none' + onClick={() => setOpen(o => !o)} + > + {/* eslint-disable-next-line @next/next/no-img-element */} + {icon && <div className='flex items-center justify-center w-6 h-6'><img + src={icon} + width={20} + height={20} + className='rounded-md border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge' + alt='icon' + /></div>} + <p + className={classNames(value ? 'text-components-input-text-filled' : 'text-components-input-text-placeholder', 'text-xs px-1')} + > + {value?.agent_strategy_label || t('workflow.nodes.agent.strategy.selectTip')} + </p> + <div className='ml-auto flex items-center gap-1'> + {showInstallButton && value && <InstallPluginButton + onClick={e => e.stopPropagation()} + size={'small'} + uniqueIdentifier={value.plugin_unique_identifier} + />} + {showPluginNotInstalledWarn + ? <NotFoundWarn + title={t('workflow.nodes.agent.pluginNotInstalled')} + description={t('workflow.nodes.agent.pluginNotInstalledDesc')} + /> + : showUnsupportedStrategy + ? <NotFoundWarn + title={t('workflow.nodes.agent.unsupportedStrategy')} + description={t('workflow.nodes.agent.strategyNotFoundDesc')} + /> + : <RiArrowDownSLine className='size-4 text-text-tertiary' /> + } + {showSwitchVersion && <SwitchPluginVersion + uniqueIdentifier={value.plugin_unique_identifier} + tooltip={<ToolTipContent + title={t('workflow.nodes.agent.unsupportedStrategy')}> + {t('workflow.nodes.agent.strategyNotFoundDescAndSwitchVersion')} + </ToolTipContent>} + onChange={() => { + refetchStrategyInfo() + }} + />} + </div> + </div> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent className='z-10'> + <div className='bg-components-panel-bg-blur border-components-panel-border border-[0.5px] rounded-md shadow overflow-hidden w-[388px]'> + <header className='p-2 gap-1 flex'> + <SearchInput placeholder={t('workflow.nodes.agent.strategy.searchPlaceholder')} value={query} onChange={setQuery} className={'w-full'} /> + <ViewTypeSelect viewType={viewType} onChange={setViewType} /> + </header> + <main className="md:max-h-[300px] xl:max-h-[400px] 2xl:max-h-[564px] relative overflow-hidden flex flex-col w-full" ref={wrapElemRef}> + <Tools + tools={filteredTools} + viewType={viewType} + onSelect={(_, tool) => { + onChange({ + agent_strategy_name: tool!.tool_name, + agent_strategy_provider_name: tool!.provider_name, + agent_strategy_label: tool!.tool_label, + agent_output_schema: tool!.output_schema, + plugin_unique_identifier: tool!.provider_id, + }) + setOpen(false) + } } + className='max-w-none max-h-full h-full overflow-y-auto' + indexBarClassName='top-0 xl:top-36' showWorkflowEmpty={false} hasSearchText={false} /> + <PluginList + wrapElemRef={wrapElemRef} + list={notInstalledPlugins as any} ref={pluginRef} + searchText={query} + tags={[]} + disableMaxWidth + /> + </main> + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> +}) + +AgentStrategySelector.displayName = 'AgentStrategySelector' diff --git a/web/app/components/workflow/nodes/_base/components/agent-strategy.tsx b/web/app/components/workflow/nodes/_base/components/agent-strategy.tsx new file mode 100644 index 00000000000000..a07686a8f5949a --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/agent-strategy.tsx @@ -0,0 +1,228 @@ +import type { CredentialFormSchemaNumberInput, CredentialFormSchemaTextInput } from '@/app/components/header/account-setting/model-provider-page/declarations' +import { type CredentialFormSchema, FormTypeEnum, ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import type { ToolVarInputs } from '../../tool/types' +import ListEmpty from '@/app/components/base/list-empty' +import { AgentStrategySelector } from './agent-strategy-selector' +import Link from 'next/link' +import { useTranslation } from 'react-i18next' +import Form from '@/app/components/header/account-setting/model-provider-page/model-modal/Form' +import { Agent } from '@/app/components/base/icons/src/vender/workflow' +import { InputNumber } from '@/app/components/base/input-number' +import Slider from '@/app/components/base/slider' +import ToolSelector from '@/app/components/plugins/plugin-detail-panel/tool-selector' +import MultipleToolSelector from '@/app/components/plugins/plugin-detail-panel/multiple-tool-selector' +import Field from './field' +import { type ComponentProps, memo } from 'react' +import { useDefaultModel } from '@/app/components/header/account-setting/model-provider-page/hooks' +import Editor from './prompt/editor' +import { useWorkflowStore } from '../../../store' +import { useRenderI18nObject } from '@/hooks/use-i18n' +import type { NodeOutPutVar } from '../../../types' +import type { Node } from 'reactflow' + +export type Strategy = { + agent_strategy_provider_name: string + agent_strategy_name: string + agent_strategy_label: string + agent_output_schema: Record<string, any> + plugin_unique_identifier: string +} + +export type AgentStrategyProps = { + strategy?: Strategy + onStrategyChange: (strategy?: Strategy) => void + formSchema: CredentialFormSchema[] + formValue: ToolVarInputs + onFormValueChange: (value: ToolVarInputs) => void + nodeOutputVars?: NodeOutPutVar[], + availableNodes?: Node[], + nodeId?: string +} + +type CustomSchema<Type, Field = {}> = Omit<CredentialFormSchema, 'type'> & { type: Type } & Field + +type ToolSelectorSchema = CustomSchema<'tool-selector'> +type MultipleToolSelectorSchema = CustomSchema<'array[tools]'> + +type CustomField = ToolSelectorSchema | MultipleToolSelectorSchema + +export const AgentStrategy = memo((props: AgentStrategyProps) => { + const { strategy, onStrategyChange, formSchema, formValue, onFormValueChange, nodeOutputVars, availableNodes, nodeId } = props + const { t } = useTranslation() + const defaultModel = useDefaultModel(ModelTypeEnum.textGeneration) + const renderI18nObject = useRenderI18nObject() + const workflowStore = useWorkflowStore() + const { + setControlPromptEditorRerenderKey, + } = workflowStore.getState() + const override: ComponentProps<typeof Form<CustomField>>['override'] = [ + [FormTypeEnum.textNumber, FormTypeEnum.textInput], + (schema, props) => { + switch (schema.type) { + case FormTypeEnum.textInput: { + const def = schema as CredentialFormSchemaTextInput + const value = props.value[schema.variable] + const onChange = (value: string) => { + props.onChange({ ...props.value, [schema.variable]: value }) + } + const handleGenerated = (value: string) => { + onChange(value) + setControlPromptEditorRerenderKey(Math.random()) + } + return <Editor + value={value} + onChange={onChange} + onGenerated={handleGenerated} + title={renderI18nObject(schema.label)} + headerClassName='bg-transparent px-0 text-text-secondary system-sm-semibold-uppercase' + containerBackgroundClassName='bg-transparent' + gradientBorder={false} + isSupportPromptGenerator={!!def.auto_generate?.type} + titleTooltip={schema.tooltip && renderI18nObject(schema.tooltip)} + editorContainerClassName='px-0' + availableNodes={availableNodes} + nodesOutputVars={nodeOutputVars} + isSupportJinja={def.template?.enabled} + required={def.required} + varList={[]} + modelConfig={ + defaultModel.data + ? { + mode: 'chat', + name: defaultModel.data.model, + provider: defaultModel.data.provider.provider, + completion_params: {}, + } : undefined + } + placeholderClassName='px-2 py-1' + titleClassName='system-sm-semibold-uppercase text-text-secondary text-[13px]' + inputClassName='px-2 py-1 bg-components-input-bg-normal focus:bg-components-input-bg-active focus:border-components-input-border-active focus:border rounded-lg' + /> + } + case FormTypeEnum.textNumber: { + const def = schema as CredentialFormSchemaNumberInput + if (!def.max || !def.min) + return false + + const defaultValue = schema.default ? Number.parseInt(schema.default) : 1 + const value = props.value[schema.variable] || defaultValue + const onChange = (value: number) => { + props.onChange({ ...props.value, [schema.variable]: value }) + } + return <Field + title={<> + {renderI18nObject(def.label)} {def.required && <span className='text-red-500'>*</span>} + </>} + tooltip={def.tooltip && renderI18nObject(def.tooltip)} + inline + > + <div className='flex w-[200px] items-center gap-3'> + <Slider + value={value} + onChange={onChange} + className='w-full' + min={def.min} + max={def.max} + /> + <InputNumber + value={value} + // TODO: maybe empty, handle this + onChange={onChange as any} + defaultValue={defaultValue} + size='sm' + min={def.min} + max={def.max} + className='w-12' + /> + </div> + </Field> + } + } + }, + ] + const renderField: ComponentProps<typeof Form<CustomField>>['customRenderField'] = (schema, props) => { + switch (schema.type) { + case FormTypeEnum.toolSelector: { + const value = props.value[schema.variable] + const onChange = (value: any) => { + props.onChange({ ...props.value, [schema.variable]: value }) + } + return ( + <Field + title={<> + {renderI18nObject(schema.label)} {schema.required && <span className='text-red-500'>*</span>} + </>} + tooltip={schema.tooltip && renderI18nObject(schema.tooltip)} + > + <ToolSelector + nodeId={props.nodeId || ''} + nodeOutputVars={props.nodeOutputVars || []} + availableNodes={props.availableNodes || []} + scope={schema.scope} + value={value} + onSelect={item => onChange(item)} + onDelete={() => onChange(null)} + /> + </Field> + ) + } + case FormTypeEnum.multiToolSelector: { + const value = props.value[schema.variable] + const onChange = (value: any) => { + props.onChange({ ...props.value, [schema.variable]: value }) + } + return ( + <MultipleToolSelector + nodeId={props.nodeId || ''} + nodeOutputVars={props.nodeOutputVars || []} + availableNodes={props.availableNodes || []} + scope={schema.scope} + value={value || []} + label={renderI18nObject(schema.label)} + tooltip={schema.tooltip && renderI18nObject(schema.tooltip)} + onChange={onChange} + supportCollapse + required={schema.required} + /> + ) + } + } + } + return <div className='space-y-2'> + <AgentStrategySelector value={strategy} onChange={onStrategyChange} /> + { + strategy + ? <div> + <Form<CustomField> + formSchemas={[ + ...formSchema, + ]} + value={formValue} + onChange={onFormValueChange} + validating={false} + showOnVariableMap={{}} + isEditMode={true} + isAgentStrategy={true} + fieldLabelClassName='uppercase' + customRenderField={renderField} + override={override} + nodeId={nodeId} + nodeOutputVars={nodeOutputVars || []} + availableNodes={availableNodes || []} + /> + </div> + : <ListEmpty + icon={<Agent className='w-5 h-5 shrink-0 text-text-accent' />} + title={t('workflow.nodes.agent.strategy.configureTip')} + description={<div className='text-text-tertiary text-xs'> + {t('workflow.nodes.agent.strategy.configureTipDesc')} <br /> + <Link href={'/'} className='text-text-accent-secondary'> + {t('workflow.nodes.agent.learnMore')} + </Link> + </div>} + /> + } + </div> +}) + +AgentStrategy.displayName = 'AgentStrategy' diff --git a/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx b/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx index e2ca592a62e35b..a4885759c4b302 100644 --- a/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx +++ b/web/app/components/workflow/nodes/_base/components/before-run-form/form-item.tsx @@ -25,7 +25,7 @@ import { BubbleX } from '@/app/components/base/icons/src/vender/line/others' import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants' import cn from '@/utils/classnames' -type Props = { +interface Props { payload: InputVar value: any onChange: (value: any) => void diff --git a/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx b/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx index 967e7963730b68..e9ac442680474e 100644 --- a/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx +++ b/web/app/components/workflow/nodes/_base/components/before-run-form/form.tsx @@ -9,7 +9,7 @@ import { InputVarType } from '@/app/components/workflow/types' import AddButton from '@/app/components/base/button/add-button' import { RETRIEVAL_OUTPUT_STRUCT } from '@/app/components/workflow/constants' -export type Props = { +export interface Props { className?: string label?: string inputs: InputVar[] diff --git a/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx b/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx index d7e2a953dae413..2fb873e604c777 100644 --- a/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx +++ b/web/app/components/workflow/nodes/_base/components/before-run-form/index.tsx @@ -17,10 +17,10 @@ import ResultPanel from '@/app/components/workflow/run/result-panel' import Toast from '@/app/components/base/toast' import { TransferMethod } from '@/types/app' import { getProcessedFiles } from '@/app/components/base/file-uploader/utils' -import type { NodeTracing } from '@/types/workflow' -import RetryResultPanel from '@/app/components/workflow/run/retry-result-panel' import type { BlockEnum } from '@/app/components/workflow/types' import type { Emoji } from '@/app/components/tools/types' +import type { SpecialResultPanelProps } from '@/app/components/workflow/run/special-result-panel' +import SpecialResultPanel from '@/app/components/workflow/run/special-result-panel' const i18nPrefix = 'workflow.singleRun' @@ -34,13 +34,12 @@ type BeforeRunFormProps = { runningStatus: NodeRunningStatus result?: JSX.Element forms: FormProps[] - retryDetails?: NodeTracing[] - onRetryDetailBack?: any -} + showSpecialResultPanel?: boolean +} & Partial<SpecialResultPanelProps> function formatValue(value: string | any, type: InputVarType) { if (type === InputVarType.number) - return parseFloat(value) + return Number.parseFloat(value) if (type === InputVarType.json) return JSON.parse(value) if (type === InputVarType.contexts) { @@ -66,8 +65,8 @@ const BeforeRunForm: FC<BeforeRunFormProps> = ({ runningStatus, result, forms, - retryDetails, - onRetryDetailBack = () => { }, + showSpecialResultPanel, + ...restResultPanelParams }) => { const { t } = useTranslation() @@ -141,24 +140,14 @@ const BeforeRunForm: FC<BeforeRunFormProps> = ({ </div> </div> { - retryDetails?.length && ( + showSpecialResultPanel && ( <div className='h-0 grow overflow-y-auto pb-4'> - <RetryResultPanel - list={retryDetails.map((item, index) => ({ - ...item, - title: `${t('workflow.nodes.common.retry.retry')} ${index + 1}`, - node_type: nodeType!, - extras: { - icon: toolIcon!, - }, - }))} - onBack={onRetryDetailBack} - /> + <SpecialResultPanel {...restResultPanelParams} /> </div> ) } { - !retryDetails?.length && ( + !showSpecialResultPanel && ( <div className='h-0 grow overflow-y-auto pb-4'> <div className='mt-3 px-4 space-y-4'> {forms.map((form, index) => ( diff --git a/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx b/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx index 7d2698a6d0956d..71ca0d28ea278d 100644 --- a/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx +++ b/web/app/components/workflow/nodes/_base/components/collapse/field-collapse.tsx @@ -1,8 +1,9 @@ +import type { ReactNode } from 'react' import Collapse from '.' type FieldCollapseProps = { title: string - children: JSX.Element + children: ReactNode } const FieldCollapse = ({ title, diff --git a/web/app/components/workflow/nodes/_base/components/editor/base.tsx b/web/app/components/workflow/nodes/_base/components/editor/base.tsx index ead88b86ddde84..9e20a3857ff4f4 100644 --- a/web/app/components/workflow/nodes/_base/components/editor/base.tsx +++ b/web/app/components/workflow/nodes/_base/components/editor/base.tsx @@ -16,7 +16,7 @@ import useToggleExpend from '@/app/components/workflow/nodes/_base/hooks/use-tog import type { FileEntity } from '@/app/components/base/file-uploader/types' import FileListInLog from '@/app/components/base/file-uploader/file-list-in-log' -type Props = { +interface Props { className?: string title: JSX.Element | string headerRight?: JSX.Element diff --git a/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx b/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx index db2425c958b54e..3d667ac700a3a5 100644 --- a/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx +++ b/web/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars.tsx @@ -88,7 +88,7 @@ const CodeEditor: FC<Props> = ({ const index = (() => { if (match) - return parseInt(match[1]!) + 1 + return Number.parseInt(match[1]!) + 1 return 1 })() diff --git a/web/app/components/workflow/nodes/_base/components/field.tsx b/web/app/components/workflow/nodes/_base/components/field.tsx index e284e91cfc40c0..d5d5ed739446b4 100644 --- a/web/app/components/workflow/nodes/_base/components/field.tsx +++ b/web/app/components/workflow/nodes/_base/components/field.tsx @@ -1,18 +1,17 @@ 'use client' -import type { FC } from 'react' +import type { FC, ReactNode } from 'react' import React from 'react' import { RiArrowDownSLine, } from '@remixicon/react' import { useBoolean } from 'ahooks' -import type { DefaultTFuncReturn } from 'i18next' import cn from '@/utils/classnames' import Tooltip from '@/app/components/base/tooltip' type Props = { className?: string - title: JSX.Element | string | DefaultTFuncReturn - tooltip?: React.ReactNode + title: ReactNode + tooltip?: ReactNode isSubTitle?: boolean supportFold?: boolean children?: JSX.Element | string | null @@ -51,7 +50,7 @@ const Field: FC<Props> = ({ <div className='flex'> {operations && <div>{operations}</div>} {supportFold && ( - <RiArrowDownSLine className='w-4 h-4 text-text-tertiary cursor-pointer transform transition-transform' style={{ transform: fold ? 'rotate(-90deg)' : 'rotate(0deg)' }} /> + <RiArrowDownSLine className='w-4 h-4 text-text-tertiary cursor-pointer transition-transform' style={{ transform: fold ? 'rotate(-90deg)' : 'rotate(0deg)' }} /> )} </div> </div> diff --git a/web/app/components/workflow/nodes/_base/components/group.tsx b/web/app/components/workflow/nodes/_base/components/group.tsx new file mode 100644 index 00000000000000..ad2e3f059645b1 --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/group.tsx @@ -0,0 +1,25 @@ +import classNames from '@/utils/classnames' +import type { ComponentProps, FC, PropsWithChildren, ReactNode } from 'react' + +export type GroupLabelProps = ComponentProps<'div'> + +export const GroupLabel: FC<GroupLabelProps> = (props) => { + const { children, className, ...rest } = props + return <div {...rest} className={classNames('mb-1 system-2xs-medium-uppercase text-text-tertiary', className)}> + {children} + </div> +} + +export type Group = PropsWithChildren<{ + label: ReactNode +}> + +export const Group: FC<Group> = (props) => { + const { children, label } = props + return <div className={classNames('py-1')}> + {label} + <div className='space-y-0.5'> + {children} + </div> + </div> +} diff --git a/web/app/components/workflow/nodes/_base/components/info-panel.tsx b/web/app/components/workflow/nodes/_base/components/info-panel.tsx index 983cb9bd0cad81..e960931d49d189 100644 --- a/web/app/components/workflow/nodes/_base/components/info-panel.tsx +++ b/web/app/components/workflow/nodes/_base/components/info-panel.tsx @@ -1,10 +1,10 @@ 'use client' -import type { FC } from 'react' +import type { FC, ReactNode } from 'react' import React from 'react' type Props = { title: string - content: string | JSX.Element + content: ReactNode } const InfoPanel: FC<Props> = ({ diff --git a/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx b/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx index c64f98093a711b..0210db2f8ef480 100644 --- a/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx +++ b/web/app/components/workflow/nodes/_base/components/input-number-with-slider.tsx @@ -34,7 +34,7 @@ const InputNumberWithSlider: FC<Props> = ({ }, [defaultValue, max, min, onChange, value]) const handleChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => { - onChange(parseFloat(e.target.value)) + onChange(Number.parseFloat(e.target.value)) }, [onChange]) return ( diff --git a/web/app/components/workflow/nodes/_base/components/install-plugin-button.tsx b/web/app/components/workflow/nodes/_base/components/install-plugin-button.tsx new file mode 100644 index 00000000000000..dc5930e15b1f8b --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/install-plugin-button.tsx @@ -0,0 +1,45 @@ +import Button from '@/app/components/base/button' +import { RiInstallLine, RiLoader2Line } from '@remixicon/react' +import type { ComponentProps, MouseEventHandler } from 'react' +import classNames from '@/utils/classnames' +import { useTranslation } from 'react-i18next' +import { useCheckInstalled, useInstallPackageFromMarketPlace } from '@/service/use-plugins' + +type InstallPluginButtonProps = Omit<ComponentProps<typeof Button>, 'children' | 'loading'> & { + uniqueIdentifier: string + onSuccess?: () => void +} + +export const InstallPluginButton = (props: InstallPluginButtonProps) => { + const { className, uniqueIdentifier, onSuccess, ...rest } = props + const { t } = useTranslation() + const manifest = useCheckInstalled({ + pluginIds: [uniqueIdentifier], + enabled: !!uniqueIdentifier, + }) + const install = useInstallPackageFromMarketPlace() + const isLoading = manifest.isLoading || install.isPending + // await for refetch to get the new installed plugin, when manifest refetch, this component will unmount + || install.isSuccess + const handleInstall: MouseEventHandler = (e) => { + e.stopPropagation() + install.mutate(uniqueIdentifier, { + onSuccess: async () => { + await manifest.refetch() + onSuccess?.() + }, + }) + } + if (!manifest.data) return null + if (manifest.data.plugins.some(plugin => plugin.id === uniqueIdentifier)) return null + return <Button + variant={'secondary'} + disabled={isLoading} + {...rest} + onClick={handleInstall} + className={classNames('flex items-center', className)} + > + {!isLoading ? t('workflow.nodes.agent.pluginInstaller.install') : t('workflow.nodes.agent.pluginInstaller.installing')} + {!isLoading ? <RiInstallLine className='size-3.5 ml-1' /> : <RiLoader2Line className='size-3.5 ml-1 animate-spin' />} + </Button> +} diff --git a/web/app/components/workflow/nodes/_base/components/memory-config.tsx b/web/app/components/workflow/nodes/_base/components/memory-config.tsx index 476f5b738c72d1..1e436c28e7c4f3 100644 --- a/web/app/components/workflow/nodes/_base/components/memory-config.tsx +++ b/web/app/components/workflow/nodes/_base/components/memory-config.tsx @@ -88,7 +88,7 @@ const MemoryConfig: FC<Props> = ({ limitedSize = null } else { - limitedSize = parseInt(limitedSize as string, 10) + limitedSize = Number.parseInt(limitedSize as string, 10) if (isNaN(limitedSize)) limitedSize = WINDOW_SIZE_DEFAULT diff --git a/web/app/components/workflow/nodes/_base/components/node-status-icon.tsx b/web/app/components/workflow/nodes/_base/components/node-status-icon.tsx new file mode 100644 index 00000000000000..99d70f474f5609 --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/node-status-icon.tsx @@ -0,0 +1,43 @@ +import { + RiAlertFill, + RiCheckboxCircleFill, + RiErrorWarningLine, + RiLoader2Line, +} from '@remixicon/react' +import cn from '@/utils/classnames' + +type NodeStatusIconProps = { + status: string + className?: string +} +const NodeStatusIcon = ({ + status, + className, +}: NodeStatusIconProps) => { + return ( + <> + { + status === 'succeeded' && ( + <RiCheckboxCircleFill className={cn('shrink-0 w-4 h-4 text-text-success', className)} /> + ) + } + { + status === 'failed' && ( + <RiErrorWarningLine className={cn('shrink-0 w-4 h-4 text-text-warning', className)} /> + ) + } + { + (status === 'stopped' || status === 'exception') && ( + <RiAlertFill className={cn('shrink-0 w-4 h-4 text-text-warning-secondary', className)} /> + ) + } + { + status === 'running' && ( + <RiLoader2Line className={cn('shrink-0 w-4 h-4 text-text-accent animate-spin', className)} /> + ) + } + </> + ) +} + +export default NodeStatusIcon diff --git a/web/app/components/workflow/nodes/_base/components/output-vars.tsx b/web/app/components/workflow/nodes/_base/components/output-vars.tsx index a0d7a25c07d831..4a265a5a5b86a1 100644 --- a/web/app/components/workflow/nodes/_base/components/output-vars.tsx +++ b/web/app/components/workflow/nodes/_base/components/output-vars.tsx @@ -1,5 +1,5 @@ 'use client' -import type { FC } from 'react' +import type { FC, ReactNode } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' import { FieldCollapse } from '@/app/components/workflow/nodes/_base/components/collapse' @@ -7,7 +7,7 @@ import { FieldCollapse } from '@/app/components/workflow/nodes/_base/components/ type Props = { className?: string title?: string - children: JSX.Element + children: ReactNode } const OutputVars: FC<Props> = ({ diff --git a/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx b/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx index 66923fbe1ffb7b..9b7c63d8620916 100644 --- a/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx +++ b/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx @@ -1,5 +1,5 @@ 'use client' -import type { FC } from 'react' +import type { FC, ReactNode } from 'react' import React, { useCallback, useRef } from 'react' import { RiDeleteBinLine, @@ -68,6 +68,14 @@ type Props = { onEditionTypeChange?: (editionType: EditionType) => void varList?: Variable[] handleAddVariable?: (payload: any) => void + containerBackgroundClassName?: string + gradientBorder?: boolean + titleTooltip?: ReactNode + inputClassName?: string + editorContainerClassName?: string + placeholderClassName?: string + titleClassName?: string + required?: boolean } const Editor: FC<Props> = ({ @@ -96,6 +104,14 @@ const Editor: FC<Props> = ({ handleAddVariable, onGenerated, modelConfig, + containerBackgroundClassName: containerClassName, + gradientBorder = true, + titleTooltip, + inputClassName, + placeholderClassName, + titleClassName, + editorContainerClassName, + required, }) => { const { t } = useTranslation() const { eventEmitter } = useEventEmitterContextContext() @@ -129,10 +145,13 @@ const Editor: FC<Props> = ({ return ( <Wrap className={cn(className, wrapClassName)} style={wrapStyle} isInNode isExpand={isExpand}> - <div ref={ref} className={cn(isFocus ? s.gradientBorder : 'bg-gray-100', isExpand && 'h-full', '!rounded-[9px] p-0.5')}> - <div className={cn(isFocus ? 'bg-gray-50' : 'bg-gray-100', isExpand && 'h-full flex flex-col', 'rounded-lg')}> - <div className={cn(headerClassName, 'pt-1 pl-3 pr-2 flex justify-between items-center')}> - <div className='leading-4 text-xs font-semibold text-gray-700 uppercase'>{title}</div> + <div ref={ref} className={cn(isFocus ? (gradientBorder && s.gradientBorder) : 'bg-gray-100', isExpand && 'h-full', '!rounded-[9px] p-0.5', containerClassName)}> + <div className={cn(isFocus ? 'bg-gray-50' : 'bg-gray-100', isExpand && 'h-full flex flex-col', 'rounded-lg', containerClassName)}> + <div className={cn('pt-1 pl-3 pr-2 flex justify-between items-center', headerClassName)}> + <div className='flex gap-2'> + <div className={cn('leading-4 text-xs font-semibold text-gray-700 uppercase', titleClassName)}>{title} {required && <span className='text-red-500'>*</span>}</div> + {titleTooltip && <Tooltip popupContent={titleTooltip} />} + </div> <div className='flex items-center'> <div className='leading-[18px] text-xs font-medium text-gray-500'>{value?.length || 0}</div> {isSupportPromptGenerator && ( @@ -201,12 +220,13 @@ const Editor: FC<Props> = ({ <div className={cn('pb-2', isExpand && 'flex flex-col grow')}> {!(isSupportJinja && editionType === EditionType.jinja2) ? ( - <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px] overflow-y-auto')}> + <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px] overflow-y-auto', editorContainerClassName)}> <PromptEditor key={controlPromptEditorRerenderKey} + placeholderClassName={placeholderClassName} instanceId={instanceId} compact - className='min-h-[56px]' + className={cn('min-h-[56px]', inputClassName)} style={isExpand ? { height: editorExpandHeight - 5 } : {}} value={value} contextBlock={{ @@ -254,7 +274,7 @@ const Editor: FC<Props> = ({ </div> ) : ( - <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px] overflow-y-auto')}> + <div className={cn(isExpand ? 'grow' : 'max-h-[536px]', 'relative px-3 min-h-[56px] overflow-y-auto', editorContainerClassName)}> <CodeEditor availableVars={nodesOutputVars || []} varList={varList} @@ -266,6 +286,7 @@ const Editor: FC<Props> = ({ onChange={onChange} noWrapper isExpand={isExpand} + className={inputClassName} /> </div> )} diff --git a/web/app/components/workflow/nodes/_base/components/setting-item.tsx b/web/app/components/workflow/nodes/_base/components/setting-item.tsx new file mode 100644 index 00000000000000..ca074ffbb7a140 --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/setting-item.tsx @@ -0,0 +1,28 @@ +import Tooltip from '@/app/components/base/tooltip' +import Indicator from '@/app/components/header/indicator' +import classNames from '@/utils/classnames' +import { type ComponentProps, type PropsWithChildren, type ReactNode, memo } from 'react' + +export type SettingItemProps = PropsWithChildren<{ + label: string + status?: 'error' | 'warning' + tooltip?: ReactNode +}> + +export const SettingItem = memo(({ label, children, status, tooltip }: SettingItemProps) => { + const indicator: ComponentProps<typeof Indicator>['color'] = status === 'error' ? 'red' : status === 'warning' ? 'yellow' : undefined + const needTooltip = ['error', 'warning'].includes(status as any) + return <div className='flex items-center justify-between bg-workflow-block-parma-bg rounded-md py-1 px-1.5 space-x-1 text-xs font-normal relative'> + <div className={classNames('shrink-0 truncate text-text-tertiary system-xs-medium-uppercase', !!children && 'max-w-[100px]')}> + {label} + </div> + <Tooltip popupContent={tooltip} disabled={!needTooltip}> + <div className='truncate text-right system-xs-medium text-text-secondary'> + {children} + </div> + </Tooltip> + {indicator && <Indicator color={indicator} className='absolute -right-0.5 -top-0.5' />} + </div> +}) + +SettingItem.displayName = 'SettingItem' diff --git a/web/app/components/workflow/nodes/_base/components/split.tsx b/web/app/components/workflow/nodes/_base/components/split.tsx index 28cd05f6da824e..9f773ba960f8c6 100644 --- a/web/app/components/workflow/nodes/_base/components/split.tsx +++ b/web/app/components/workflow/nodes/_base/components/split.tsx @@ -3,7 +3,7 @@ import type { FC } from 'react' import React from 'react' import cn from '@/utils/classnames' -type Props = { +interface Props { className?: string } diff --git a/web/app/components/workflow/nodes/_base/components/switch-plugin-version.tsx b/web/app/components/workflow/nodes/_base/components/switch-plugin-version.tsx new file mode 100644 index 00000000000000..ea35c8492f3cd8 --- /dev/null +++ b/web/app/components/workflow/nodes/_base/components/switch-plugin-version.tsx @@ -0,0 +1,126 @@ +'use client' + +import Badge from '@/app/components/base/badge' +import Tooltip from '@/app/components/base/tooltip' +import PluginVersionPicker from '@/app/components/plugins/update-plugin/plugin-version-picker' +import { RiArrowLeftRightLine, RiExternalLinkLine } from '@remixicon/react' +import type { ReactNode } from 'react' +import { type FC, useCallback, useState } from 'react' +import { useBoolean } from 'ahooks' +import { useCheckInstalled, useUpdatePackageFromMarketPlace } from '@/service/use-plugins' +import cn from '@/utils/classnames' +import PluginMutationModel from '@/app/components/plugins/plugin-mutation-model' +import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon' +import { pluginManifestToCardPluginProps } from '@/app/components/plugins/install-plugin/utils' +import { Badge as Badge2, BadgeState } from '@/app/components/base/badge/index' +import Link from 'next/link' +import { useTranslation } from 'react-i18next' +import { marketplaceUrlPrefix } from '@/config' + +export type SwitchPluginVersionProps = { + uniqueIdentifier: string + tooltip?: ReactNode + onChange?: (version: string) => void + className?: string +} + +export const SwitchPluginVersion: FC<SwitchPluginVersionProps> = (props) => { + const { uniqueIdentifier, tooltip, onChange, className } = props + const [pluginId] = uniqueIdentifier.split(':') + const [isShow, setIsShow] = useState(false) + const [isShowUpdateModal, { setTrue: showUpdateModal, setFalse: hideUpdateModal }] = useBoolean(false) + const [target, setTarget] = useState<{ + version: string, + pluginUniqueIden: string; + }>() + const pluginDetails = useCheckInstalled({ + pluginIds: [pluginId], + enabled: true, + }) + const pluginDetail = pluginDetails.data?.plugins.at(0) + + const handleUpdatedFromMarketplace = useCallback(() => { + hideUpdateModal() + pluginDetails.refetch() + onChange?.(target!.version) + }, [hideUpdateModal, onChange, pluginDetails, target]) + const { getIconUrl } = useGetIcon() + const icon = pluginDetail?.declaration.icon ? getIconUrl(pluginDetail.declaration.icon) : undefined + const mutation = useUpdatePackageFromMarketPlace() + const install = () => { + mutation.mutate( + { + new_plugin_unique_identifier: target!.pluginUniqueIden, + original_plugin_unique_identifier: uniqueIdentifier, + }, + { + onSuccess() { + handleUpdatedFromMarketplace() + }, + }) + } + const { t } = useTranslation() + return <Tooltip popupContent={!isShow && !isShowUpdateModal && tooltip} triggerMethod='hover'> + <div className={cn('w-fit flex items-center justify-center', className)} onClick={e => e.stopPropagation()}> + {isShowUpdateModal && pluginDetail && <PluginMutationModel + onCancel={hideUpdateModal} + plugin={pluginManifestToCardPluginProps({ + ...pluginDetail.declaration, + icon: icon!, + })} + mutation={mutation} + mutate={install} + confirmButtonText={t('workflow.nodes.agent.installPlugin.install')} + cancelButtonText={t('workflow.nodes.agent.installPlugin.cancel')} + modelTitle={t('workflow.nodes.agent.installPlugin.title')} + description={t('workflow.nodes.agent.installPlugin.desc')} + cardTitleLeft={<> + <Badge2 className='mx-1' size="s" state={BadgeState.Warning}> + {`${pluginDetail.version} -> ${target!.version}`} + </Badge2> + </>} + modalBottomLeft={ + <Link + className='flex justify-center items-center gap-1' + href={`${marketplaceUrlPrefix}/plugins/${pluginDetail.declaration.author}/${pluginDetail.declaration.name}`} + target='_blank' + > + <span className='text-text-accent system-xs-regular text-xs'> + {t('workflow.nodes.agent.installPlugin.changelog')} + </span> + <RiExternalLinkLine className='text-text-accent size-3' /> + </Link> + } + />} + {pluginDetail && <PluginVersionPicker + isShow={isShow} + onShowChange={setIsShow} + pluginID={pluginId} + currentVersion={pluginDetail.version} + onSelect={(state) => { + setTarget({ + pluginUniqueIden: state.unique_identifier, + version: state.version, + }) + showUpdateModal() + }} + trigger={ + <Badge + className={cn( + 'mx-1 hover:bg-state-base-hover flex', + isShow && 'bg-state-base-hover', + )} + uppercase={true} + text={ + <> + <div>{pluginDetail.version}</div> + <RiArrowLeftRightLine className='ml-1 w-3 h-3 text-text-tertiary' /> + </> + } + hasRedCornerMark={true} + /> + } + />} + </div> + </Tooltip> +} diff --git a/web/app/components/workflow/nodes/_base/components/variable-tag.tsx b/web/app/components/workflow/nodes/_base/components/variable-tag.tsx index 0c5c3bde4bf171..67c8bb57df3c92 100644 --- a/web/app/components/workflow/nodes/_base/components/variable-tag.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable-tag.tsx @@ -19,7 +19,7 @@ import Tooltip from '@/app/components/base/tooltip' import cn from '@/utils/classnames' import { isExceptionVariable } from '@/app/components/workflow/utils' -type VariableTagProps = { +interface VariableTagProps { valueSelector: ValueSelector varType: VarType isShort?: boolean diff --git a/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx b/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx index 802e778c2cd152..b2052053a39f1a 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx @@ -24,7 +24,7 @@ const ConstantField: FC<Props> = ({ const language = useLanguage() const placeholder = (schema as CredentialFormSchemaSelect).placeholder const handleStaticChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => { - const value = e.target.value === '' ? '' : parseFloat(e.target.value) + const value = e.target.value === '' ? '' : Number.parseFloat(e.target.value) onChange(value, VarKindType.constant) }, [onChange]) const handleSelectChange = useCallback((value: string | number) => { @@ -39,6 +39,7 @@ const ConstantField: FC<Props> = ({ wrapperClassName='w-full !h-8' className='flex items-center' disabled={readonly} + defaultValue={value} items={(schema as CredentialFormSchemaSelect).options.map(option => ({ value: option.value, name: option.label[language] || option.label.en_US }))} onSelect={item => handleSelectChange(item.value)} placeholder={placeholder?.[language] || placeholder?.en_US} diff --git a/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx b/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx index 1c07461b42bd5b..17c0061f0e73e4 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable/output-var-list.tsx @@ -11,7 +11,7 @@ import type { VarType } from '@/app/components/workflow/types' import { checkKeys } from '@/utils/var' import Toast from '@/app/components/base/toast' -type Props = { +interface Props { readonly: boolean outputs: OutputVar outputKeyOrders: string[] diff --git a/web/app/components/workflow/nodes/_base/components/variable/utils.ts b/web/app/components/workflow/nodes/_base/components/variable/utils.ts index 24c2b73fed2d25..2e4ea8a355ce5b 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/utils.ts +++ b/web/app/components/workflow/nodes/_base/components/variable/utils.ts @@ -14,7 +14,7 @@ import type { ToolNodeType } from '../../../tool/types' import type { ParameterExtractorNodeType } from '../../../parameter-extractor/types' import type { IterationNodeType } from '../../../iteration/types' import type { ListFilterNodeType } from '../../../list-operator/types' -import { OUTPUT_FILE_SUB_VARIABLES } from '../../../if-else/default' +import { OUTPUT_FILE_SUB_VARIABLES } from '../../../constants' import type { DocExtractorNodeType } from '../../../document-extractor/types' import { BlockEnum, InputVarType, VarType } from '@/app/components/workflow/types' import type { StartNodeType } from '@/app/components/workflow/nodes/start/types' @@ -32,6 +32,7 @@ import { } from '@/app/components/workflow/constants' import type { PromptItem } from '@/models/debug' import { VAR_REGEX } from '@/config' +import type { AgentNodeType } from '../../../agent/types' export const isSystemVar = (valueSelector: ValueSelector) => { return valueSelector[0] === 'sys' || valueSelector[1] === 'sys' @@ -235,7 +236,29 @@ const formatItem = ( } case BlockEnum.Tool: { - res.vars = TOOL_OUTPUT_STRUCT + const { + output_schema, + } = data as ToolNodeType + if (!output_schema) { + res.vars = TOOL_OUTPUT_STRUCT + } + else { + const outputSchema: any[] = [] + Object.keys(output_schema.properties).forEach((outputKey) => { + const output = output_schema.properties[outputKey] + outputSchema.push({ + variable: outputKey, + type: output.type === 'array' + ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]` + : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`, + description: output.description, + }) + }) + res.vars = [ + ...TOOL_OUTPUT_STRUCT, + ...outputSchema, + ] + } break } @@ -293,6 +316,25 @@ const formatItem = ( break } + case BlockEnum.Agent: { + const payload = data as AgentNodeType + const outputs: Var[] = [] + Object.keys(payload.output_schema?.properties || {}).forEach((outputKey) => { + const output = payload.output_schema.properties[outputKey] + outputs.push({ + variable: outputKey, + type: output.type === 'array' + ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]` as VarType + : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}` as VarType, + }) + }) + res.vars = [ + ...outputs, + ...TOOL_OUTPUT_STRUCT, + ] + break + } + case 'env': { res.vars = data.envList.map((env: EnvironmentVariable) => { return { @@ -680,7 +722,7 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => { break } case BlockEnum.LLM: { - const payload = (data as LLMNodeType) + const payload = data as LLMNodeType const isChatModel = payload.model?.mode === 'chat' let prompts: string[] = [] if (isChatModel) { @@ -718,19 +760,19 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => { break } case BlockEnum.QuestionClassifier: { - const payload = (data as QuestionClassifierNodeType) + const payload = data as QuestionClassifierNodeType res = [payload.query_variable_selector] const varInInstructions = matchNotSystemVars([payload.instruction || '']) res.push(...varInInstructions) break } case BlockEnum.HttpRequest: { - const payload = (data as HttpNodeType) + const payload = data as HttpNodeType res = matchNotSystemVars([payload.url, payload.headers, payload.params, typeof payload.body.data === 'string' ? payload.body.data : payload.body.data.map(d => d.value).join('')]) break } case BlockEnum.Tool: { - const payload = (data as ToolNodeType) + const payload = data as ToolNodeType const mixVars = matchNotSystemVars(Object.keys(payload.tool_parameters)?.filter(key => payload.tool_parameters[key].type === ToolVarType.mixed).map(key => payload.tool_parameters[key].value) as string[]) const vars = Object.keys(payload.tool_parameters).filter(key => payload.tool_parameters[key].type === ToolVarType.variable).map(key => payload.tool_parameters[key].value as string) || [] res = [...(mixVars as ValueSelector[]), ...(vars as any)] @@ -748,7 +790,7 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => { } case BlockEnum.ParameterExtractor: { - const payload = (data as ParameterExtractorNodeType) + const payload = data as ParameterExtractorNodeType res = [payload.query] const varInInstructions = matchNotSystemVars([payload.instruction || '']) res.push(...varInInstructions) @@ -764,6 +806,21 @@ export const getNodeUsedVars = (node: Node): ValueSelector[] => { res = [(data as ListFilterNodeType).variable] break } + + case BlockEnum.Agent: { + const payload = data as AgentNodeType + const valueSelectors: ValueSelector[] = [] + if (!payload.agent_parameters) + break + + Object.keys(payload.agent_parameters || {}).forEach((key) => { + const { value } = payload.agent_parameters![key] + if (typeof value === 'string') + valueSelectors.push(...matchNotSystemVars([value])) + }) + res = valueSelectors + break + } } return res || [] } @@ -775,7 +832,7 @@ export const getNodeUsedVarPassToServerKey = (node: Node, valueSelector: ValueSe let res: string | string[] = '' switch (type) { case BlockEnum.LLM: { - const payload = (data as LLMNodeType) + const payload = data as LLMNodeType res = [`#${valueSelector.join('.')}#`] if (payload.context?.variable_selector.join('.') === valueSelector.join('.')) res.push('#context#') diff --git a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx index cdcea647aa1fcd..c7ef4598f79b6a 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx @@ -64,6 +64,7 @@ type Props = { placeholder?: string minWidth?: number popupFor?: 'assigned' | 'toAssigned' + zIndex?: number } const VarReferencePicker: FC<Props> = ({ @@ -90,6 +91,7 @@ const VarReferencePicker: FC<Props> = ({ placeholder, minWidth, popupFor, + zIndex, }) => { const { t } = useTranslation() const store = useStoreApi() @@ -386,7 +388,7 @@ const VarReferencePicker: FC<Props> = ({ </> </WrapElem> <PortalToFollowElemContent style={{ - zIndex: 100, + zIndex: zIndex || 100, }} className='mt-1'> {!isConstant && ( <VarReferencePopup diff --git a/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx b/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx index 9ac5e4a4e4b6ae..3b7845003ac5a7 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable/var-reference-vars.tsx @@ -17,7 +17,7 @@ import { BubbleX, Env } from '@/app/components/base/icons/src/vender/line/others import { checkKeys } from '@/utils/var' import { FILE_STRUCT } from '@/app/components/workflow/constants' -type ObjectChildrenProps = { +interface ObjectChildrenProps { nodeId: string title: string data: Var[] @@ -28,7 +28,7 @@ type ObjectChildrenProps = { isSupportFileVar?: boolean } -type ItemProps = { +interface ItemProps { nodeId: string title: string objPath: string[] @@ -134,7 +134,7 @@ const Item: FC<ItemProps> = ({ zIndex: 100, }}> {(isObj && !isFile) && ( - // eslint-disable-next-line @typescript-eslint/no-use-before-define + // eslint-disable-next-line ts/no-use-before-define <ObjectChildren nodeId={nodeId} title={title} @@ -147,7 +147,7 @@ const Item: FC<ItemProps> = ({ /> )} {isFile && ( - // eslint-disable-next-line @typescript-eslint/no-use-before-define + // eslint-disable-next-line ts/no-use-before-define <ObjectChildren nodeId={nodeId} title={title} @@ -226,7 +226,7 @@ const ObjectChildren: FC<ObjectChildrenProps> = ({ ) } -type Props = { +interface Props { hideSearch?: boolean searchBoxClassName?: string vars: NodeOutPutVar[] diff --git a/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts b/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts index 05481b4c8cb494..443ba1bbd27cb5 100644 --- a/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts +++ b/web/app/components/workflow/nodes/_base/hooks/use-one-step-run.ts @@ -46,6 +46,7 @@ const { checkValid: checkParameterExtractorValid } = ParameterExtractorDefault const { checkValid: checkIterationValid } = IterationDefault const { checkValid: checkDocumentExtractorValid } = DocumentExtractorDefault +// eslint-disable-next-line ts/no-unsafe-function-type const checkValidFns: Record<BlockEnum, Function> = { [BlockEnum.LLM]: checkLLMValid, [BlockEnum.KnowledgeRetrieval]: checkKnowledgeRetrievalValid, @@ -144,7 +145,7 @@ const useOneStepRun = <T>({ const { handleNodeDataUpdate }: { handleNodeDataUpdate: (data: any) => void } = useNodeDataUpdate() const [canShowSingleRun, setCanShowSingleRun] = useState(false) const isShowSingleRun = data._isSingleRun && canShowSingleRun - const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[][]>([]) + const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[]>([]) useEffect(() => { if (!checkValid) { @@ -175,7 +176,7 @@ const useOneStepRun = <T>({ const workflowStore = useWorkflowStore() useEffect(() => { workflowStore.getState().setShowSingleRunPanel(!!isShowSingleRun) - }, [isShowSingleRun]) + }, [isShowSingleRun, workflowStore]) const hideSingleRun = () => { handleNodeDataUpdate({ @@ -213,7 +214,7 @@ const useOneStepRun = <T>({ } else { setIterationRunResult([]) - let _iterationResult: NodeTracing[][] = [] + let _iterationResult: NodeTracing[] = [] let _runResult: any = null ssePost( getIterationSingleNodeRunUrl(isChatMode, appId!, id), @@ -233,27 +234,43 @@ const useOneStepRun = <T>({ _runResult.created_by = iterationData.created_by.name setRunResult(_runResult) }, - onIterationNext: () => { - // iteration next trigger time is triggered one more time than iterationTimes - if (_iterationResult.length >= iterationTimes!) - return - + onIterationStart: (params) => { const newIterationRunResult = produce(_iterationResult, (draft) => { - draft.push([]) + draft.push({ + ...params.data, + status: NodeRunningStatus.Running, + }) }) _iterationResult = newIterationRunResult setIterationRunResult(newIterationRunResult) }, + onIterationNext: () => { + // iteration next trigger time is triggered one more time than iterationTimes + if (_iterationResult.length >= iterationTimes!) + return _iterationResult.length >= iterationTimes! + }, onIterationFinish: (params) => { _runResult = params.data setRunResult(_runResult) + const iterationRunResult = _iterationResult + const currentIndex = iterationRunResult.findIndex(trace => trace.id === params.data.id) + const newIterationRunResult = produce(iterationRunResult, (draft) => { + if (currentIndex > -1) { + draft[currentIndex] = { + ...draft[currentIndex], + ...data, + } + } + }) + _iterationResult = newIterationRunResult + setIterationRunResult(newIterationRunResult) }, onNodeStarted: (params) => { const newIterationRunResult = produce(_iterationResult, (draft) => { - draft[draft.length - 1].push({ + draft.push({ ...params.data, status: NodeRunningStatus.Running, - } as NodeTracing) + }) }) _iterationResult = newIterationRunResult setIterationRunResult(newIterationRunResult) @@ -262,18 +279,25 @@ const useOneStepRun = <T>({ const iterationRunResult = _iterationResult const { data } = params - const currentIndex = iterationRunResult[iterationRunResult.length - 1].findIndex(trace => trace.node_id === data.node_id) + const currentIndex = iterationRunResult.findIndex(trace => trace.id === data.id) const newIterationRunResult = produce(iterationRunResult, (draft) => { if (currentIndex > -1) { - draft[draft.length - 1][currentIndex] = { + draft[currentIndex] = { + ...draft[currentIndex], ...data, - status: NodeRunningStatus.Succeeded, - } as NodeTracing + } } }) _iterationResult = newIterationRunResult setIterationRunResult(newIterationRunResult) }, + onNodeRetry: (params) => { + const newIterationRunResult = produce(_iterationResult, (draft) => { + draft.push(params.data) + }) + _iterationResult = newIterationRunResult + setIterationRunResult(newIterationRunResult) + }, onError: () => { handleNodeDataUpdate({ id, diff --git a/web/app/components/workflow/nodes/agent/components/model-bar.tsx b/web/app/components/workflow/nodes/agent/components/model-bar.tsx new file mode 100644 index 00000000000000..1b2007070f62e3 --- /dev/null +++ b/web/app/components/workflow/nodes/agent/components/model-bar.tsx @@ -0,0 +1,75 @@ +import Tooltip from '@/app/components/base/tooltip' +import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import { useModelList } from '@/app/components/header/account-setting/model-provider-page/hooks' +import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector' +import Indicator from '@/app/components/header/indicator' +import { type FC, useMemo } from 'react' +import { useTranslation } from 'react-i18next' + +export type ModelBarProps = { + provider: string + model: string +} | {} + +const useAllModel = () => { + const { data: textGeneration } = useModelList(ModelTypeEnum.textGeneration) + const { data: moderation } = useModelList(ModelTypeEnum.moderation) + const { data: rerank } = useModelList(ModelTypeEnum.rerank) + const { data: speech2text } = useModelList(ModelTypeEnum.speech2text) + const { data: textEmbedding } = useModelList(ModelTypeEnum.textEmbedding) + const { data: tts } = useModelList(ModelTypeEnum.tts) + const models = useMemo(() => { + return textGeneration + .concat(moderation) + .concat(rerank) + .concat(speech2text) + .concat(textEmbedding) + .concat(tts) + }, [textGeneration, moderation, rerank, speech2text, textEmbedding, tts]) + if (!textGeneration || !moderation || !rerank || !speech2text || !textEmbedding || !tts) + return undefined + return models +} + +export const ModelBar: FC<ModelBarProps> = (props) => { + const { t } = useTranslation() + const modelList = useAllModel() + if (!('provider' in props)) { + return <Tooltip + popupContent={t('workflow.nodes.agent.modelNotSelected')} + triggerMethod='hover' + > + <div className='relative'> + <ModelSelector + modelList={[]} + triggerClassName='bg-workflow-block-parma-bg !h-6 !rounded-md' + defaultModel={undefined} + showDeprecatedWarnIcon={false} + readonly + deprecatedClassName='opacity-50' + /> + <Indicator color={'red'} className='absolute -right-0.5 -top-0.5' /> + </div> + </Tooltip> + } + const modelInstalled = modelList?.some( + provider => provider.provider === props.provider && provider.models.some(model => model.model === props.model)) + const showWarn = modelList && !modelInstalled + return modelList && <Tooltip + popupContent={t('workflow.nodes.agent.modelNotInstallTooltip')} + triggerMethod='hover' + disabled={!modelList || modelInstalled} + > + <div className='relative'> + <ModelSelector + modelList={modelList} + triggerClassName='bg-workflow-block-parma-bg !h-6 !rounded-md' + defaultModel={props} + showDeprecatedWarnIcon={false} + readonly + deprecatedClassName='opacity-50' + /> + {showWarn && <Indicator color={'red'} className='absolute -right-0.5 -top-0.5' />} + </div> + </Tooltip> +} diff --git a/web/app/components/workflow/nodes/agent/components/tool-icon.tsx b/web/app/components/workflow/nodes/agent/components/tool-icon.tsx new file mode 100644 index 00000000000000..07c20e0f80daab --- /dev/null +++ b/web/app/components/workflow/nodes/agent/components/tool-icon.tsx @@ -0,0 +1,81 @@ +import Tooltip from '@/app/components/base/tooltip' +import Indicator from '@/app/components/header/indicator' +import classNames from '@/utils/classnames' +import { memo, useMemo, useRef, useState } from 'react' +import { useAllBuiltInTools, useAllCustomTools, useAllWorkflowTools } from '@/service/use-tools' +import { getIconFromMarketPlace } from '@/utils/get-icon' +import { useTranslation } from 'react-i18next' +import { Group } from '@/app/components/base/icons/src/vender/other' + +type Status = 'not-installed' | 'not-authorized' | undefined + +export type ToolIconProps = { + providerName: string +} + +export const ToolIcon = memo(({ providerName }: ToolIconProps) => { + const containerRef = useRef<HTMLDivElement>(null) + const { data: buildInTools } = useAllBuiltInTools() + const { data: customTools } = useAllCustomTools() + const { data: workflowTools } = useAllWorkflowTools() + const isDataReady = !!buildInTools && !!customTools && !!workflowTools + const currentProvider = useMemo(() => { + const mergedTools = [...(buildInTools || []), ...(customTools || []), ...(workflowTools || [])] + return mergedTools.find((toolWithProvider) => { + return toolWithProvider.name === providerName + }) + }, [buildInTools, customTools, providerName, workflowTools]) + const providerNameParts = providerName.split('/') + const author = providerNameParts[0] + const name = providerNameParts[1] + const icon = useMemo(() => { + if (currentProvider) return currentProvider.icon as string + const iconFromMarketPlace = getIconFromMarketPlace(`${author}/${name}`) + return iconFromMarketPlace + }, [author, currentProvider, name]) + const status: Status = useMemo(() => { + if (!isDataReady) return undefined + if (!currentProvider) return 'not-installed' + if (currentProvider.is_team_authorization === false) return 'not-authorized' + return undefined + }, [currentProvider, isDataReady]) + const indicator = status === 'not-installed' ? 'red' : status === 'not-authorized' ? 'yellow' : undefined + const notSuccess = (['not-installed', 'not-authorized'] as Array<Status>).includes(status) + const { t } = useTranslation() + const tooltip = useMemo(() => { + if (!notSuccess) return undefined + if (status === 'not-installed') return t('workflow.nodes.agent.toolNotInstallTooltip', { tool: name }) + if (status === 'not-authorized') return t('workflow.nodes.agent.toolNotAuthorizedTooltip', { tool: name }) + throw new Error('Unknown status') + }, [name, notSuccess, status, t]) + const [iconFetchError, setIconFetchError] = useState(false) + return <Tooltip + triggerMethod='hover' + popupContent={tooltip} + disabled={!notSuccess} + > + <div + className={classNames( + 'size-5 border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge relative flex items-center justify-center rounded-[6px]', + )} + ref={containerRef} + > + {!iconFetchError + // eslint-disable-next-line @next/next/no-img-element + ? <img + src={icon} + alt='tool icon' + className={classNames( + 'w-full h-full size-3.5 object-cover', + notSuccess && 'opacity-50', + )} + onError={() => setIconFetchError(true)} + /> + : <Group className="w-3 h-3 opacity-35" /> + } + {indicator && <Indicator color={indicator} className="absolute right-[-1px] top-[-1px]" />} + </div> + </Tooltip> +}) + +ToolIcon.displayName = 'ToolIcon' diff --git a/web/app/components/workflow/nodes/agent/default.ts b/web/app/components/workflow/nodes/agent/default.ts new file mode 100644 index 00000000000000..6069f909917596 --- /dev/null +++ b/web/app/components/workflow/nodes/agent/default.ts @@ -0,0 +1,143 @@ +import type { StrategyDetail, StrategyPluginDetail } from '@/app/components/plugins/types' +import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks' +import type { NodeDefault } from '../../types' +import type { AgentNodeType } from './types' +import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import { renderI18nObject } from '@/hooks/use-i18n' + +const nodeDefault: NodeDefault<AgentNodeType> = { + defaultValue: { + }, + getAvailablePrevNodes(isChatMode) { + return isChatMode + ? ALL_CHAT_AVAILABLE_BLOCKS + : ALL_COMPLETION_AVAILABLE_BLOCKS + }, + getAvailableNextNodes(isChatMode) { + return isChatMode + ? ALL_CHAT_AVAILABLE_BLOCKS + : ALL_COMPLETION_AVAILABLE_BLOCKS + }, + checkValid(payload, t, moreDataForCheckValid: { + strategyProvider?: StrategyPluginDetail, + strategy?: StrategyDetail + language: string + isReadyForCheckValid: boolean + }) { + const { strategy, language, isReadyForCheckValid } = moreDataForCheckValid + if (!isReadyForCheckValid) { + return { + isValid: true, + errorMessage: '', + } + } + if (!strategy) { + return { + isValid: false, + errorMessage: t('workflow.nodes.agent.checkList.strategyNotSelected'), + } + } + for (const param of strategy.parameters) { + // single tool + if (param.required && param.type === FormTypeEnum.toolSelector) { + // no value + const toolValue = payload.agent_parameters?.[param.name]?.value + if (!toolValue) { + return { + isValid: false, + errorMessage: t('workflow.errorMsg.fieldRequired', { field: renderI18nObject(param.label, language) }), + } + } + // not enabled + else if (!toolValue.enabled) { + return { + isValid: false, + errorMessage: t('workflow.errorMsg.noValidTool', { field: renderI18nObject(param.label, language) }), + } + } + // check form of tool + else { + const schemas = toolValue.schemas || [] + const userSettings = toolValue.settings + const reasoningConfig = toolValue.parameters + schemas.forEach((schema: any) => { + if (schema?.required) { + if (schema.form === 'form' && !userSettings[schema.name]?.value) { + return { + isValid: false, + errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }), + } + } + if (schema.form === 'llm' && reasoningConfig[schema.name].auto === 0 && !userSettings[schema.name]?.value) { + return { + isValid: false, + errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }), + } + } + } + }) + } + } + // multiple tools + if (param.required && param.type === FormTypeEnum.multiToolSelector) { + const tools = payload.agent_parameters?.[param.name]?.value || [] + // no value + if (!tools.length) { + return { + isValid: false, + errorMessage: t('workflow.errorMsg.fieldRequired', { field: renderI18nObject(param.label, language) }), + } + } + // not enabled + else if (tools.every((tool: any) => !tool.enabled)) { + return { + isValid: false, + errorMessage: t('workflow.errorMsg.noValidTool', { field: renderI18nObject(param.label, language) }), + } + } + // check form of tools + else { + let validState = { + isValid: true, + errorMessage: '', + } + for (const tool of tools) { + const schemas = tool.schemas || [] + const userSettings = tool.settings + const reasoningConfig = tool.parameters + schemas.forEach((schema: any) => { + if (schema?.required) { + if (schema.form === 'form' && !userSettings[schema.name]?.value) { + return validState = { + isValid: false, + errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }), + } + } + if (schema.form === 'llm' && reasoningConfig[schema.name]?.auto === 0 && !reasoningConfig[schema.name]?.value) { + return validState = { + isValid: false, + errorMessage: t('workflow.errorMsg.toolParameterRequired', { field: renderI18nObject(param.label, language), param: renderI18nObject(schema.label, language) }), + } + } + } + }) + } + return validState + } + } + // common params + if (param.required && !payload.agent_parameters?.[param.name]?.value) { + return { + isValid: false, + errorMessage: t('workflow.errorMsg.fieldRequired', { field: renderI18nObject(param.label, language) }), + } + } + } + return { + isValid: true, + errorMessage: '', + } + }, +} + +export default nodeDefault diff --git a/web/app/components/workflow/nodes/agent/node.tsx b/web/app/components/workflow/nodes/agent/node.tsx new file mode 100644 index 00000000000000..b3101c3d889b81 --- /dev/null +++ b/web/app/components/workflow/nodes/agent/node.tsx @@ -0,0 +1,113 @@ +import { type FC, memo, useMemo } from 'react' +import type { NodeProps } from '../../types' +import type { AgentNodeType } from './types' +import { SettingItem } from '../_base/components/setting-item' +import { Group, GroupLabel } from '../_base/components/group' +import type { ToolIconProps } from './components/tool-icon' +import { ToolIcon } from './components/tool-icon' +import useConfig from './use-config' +import { useTranslation } from 'react-i18next' +import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' +import { useRenderI18nObject } from '@/hooks/use-i18n' +import { ModelBar } from './components/model-bar' + +const AgentNode: FC<NodeProps<AgentNodeType>> = (props) => { + const { inputs, currentStrategy, currentStrategyStatus, pluginDetail } = useConfig(props.id, props.data) + const renderI18nObject = useRenderI18nObject() + const { t } = useTranslation() + const models = useMemo(() => { + if (!inputs) return [] + // if selected, show in node + // if required and not selected, show empty selector + // if not required and not selected, show nothing + const models = currentStrategy?.parameters + .filter(param => param.type === FormTypeEnum.modelSelector) + .reduce((acc, param) => { + const item = inputs.agent_parameters?.[param.name]?.value + if (!item) { + if (param.required) { + acc.push({ param: param.name }) + return acc + } + else { return acc } + } + acc.push({ provider: item.provider, model: item.model, param: param.name }) + return acc + }, [] as Array<{ param: string } | { provider: string, model: string, param: string }>) || [] + return models + }, [currentStrategy, inputs]) + + const tools = useMemo(() => { + const tools: Array<ToolIconProps> = [] + currentStrategy?.parameters.forEach((param) => { + if (param.type === FormTypeEnum.toolSelector) { + const field = param.name + const value = inputs.agent_parameters?.[field]?.value + if (value) { + tools.push({ + providerName: value.provider_name as any, + }) + } + } + if (param.type === FormTypeEnum.multiToolSelector) { + const field = param.name + const value = inputs.agent_parameters?.[field]?.value + if (value) { + (value as unknown as any[]).forEach((item) => { + tools.push({ + providerName: item.provider_name, + }) + }) + } + } + }) + return tools + }, [currentStrategy?.parameters, inputs.agent_parameters]) + return <div className='mb-1 px-3 py-1 space-y-1'> + {inputs.agent_strategy_name + ? <SettingItem + label={t('workflow.nodes.agent.strategy.shortLabel')} + status={ + currentStrategyStatus && !currentStrategyStatus.isExistInPlugin + ? 'error' + : undefined + } + tooltip={ + (currentStrategyStatus && !currentStrategyStatus.isExistInPlugin) + ? t('workflow.nodes.agent.strategyNotInstallTooltip', { + plugin: pluginDetail?.declaration.label + ? renderI18nObject(pluginDetail?.declaration.label) + : undefined, + strategy: inputs.agent_strategy_label, + }) + : undefined + } + > + {inputs.agent_strategy_label} + </SettingItem> + : <SettingItem label={t('workflow.nodes.agent.strategyNotSet')} />} + {models.length > 0 && <Group + label={<GroupLabel className='mt-1'> + {t('workflow.nodes.agent.model')} + </GroupLabel>} + > + {models.map((model) => { + return <ModelBar + {...model} + key={model.param} + /> + })} + </Group>} + {tools.length > 0 && <Group label={<GroupLabel className='mt-1'> + {t('workflow.nodes.agent.toolbox')} + </GroupLabel>}> + <div className='grid grid-cols-10 gap-0.5'> + {tools.map(tool => <ToolIcon {...tool} key={Math.random()} />)} + </div> + </Group>} + </div> +} + +AgentNode.displayName = 'AgentNode' + +export default memo(AgentNode) diff --git a/web/app/components/workflow/nodes/agent/panel.tsx b/web/app/components/workflow/nodes/agent/panel.tsx new file mode 100644 index 00000000000000..c3912c293ee1d3 --- /dev/null +++ b/web/app/components/workflow/nodes/agent/panel.tsx @@ -0,0 +1,156 @@ +import type { FC } from 'react' +import { memo, useMemo } from 'react' +import type { NodePanelProps } from '../../types' +import type { AgentNodeType } from './types' +import Field from '../_base/components/field' +import { AgentStrategy } from '../_base/components/agent-strategy' +import useConfig from './use-config' +import { useTranslation } from 'react-i18next' +import OutputVars, { VarItem } from '../_base/components/output-vars' +import type { StrategyParamItem } from '@/app/components/plugins/types' +import type { CredentialFormSchema } from '@/app/components/header/account-setting/model-provider-page/declarations' +import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form' +import ResultPanel from '@/app/components/workflow/run/result-panel' +import formatTracing from '@/app/components/workflow/run/utils/format-log' +import { useLogs } from '@/app/components/workflow/run/hooks' +import type { Props as FormProps } from '@/app/components/workflow/nodes/_base/components/before-run-form/form' +import { toType } from '@/app/components/tools/utils/to-form-schema' +import { useStore } from '../../store' + +const i18nPrefix = 'workflow.nodes.agent' + +export function strategyParamToCredientialForm(param: StrategyParamItem): CredentialFormSchema { + return { + ...param as any, + variable: param.name, + show_on: [], + type: toType(param.type), + } +} + +const AgentPanel: FC<NodePanelProps<AgentNodeType>> = (props) => { + const { + inputs, + setInputs, + currentStrategy, + formData, + onFormChange, + + availableNodesWithParent, + availableVars, + + isShowSingleRun, + hideSingleRun, + runningStatus, + handleRun, + handleStop, + runResult, + runInputData, + setRunInputData, + varInputs, + outputSchema, + } = useConfig(props.id, props.data) + const { t } = useTranslation() + const nodeInfo = useMemo(() => { + if (!runResult) + return + return formatTracing([runResult], t)[0] + }, [runResult, t]) + const logsParams = useLogs() + const singleRunForms = (() => { + const forms: FormProps[] = [] + + if (varInputs.length > 0) { + forms.push( + { + label: t(`${i18nPrefix}.singleRun.variable`)!, + inputs: varInputs, + values: runInputData, + onChange: setRunInputData, + }, + ) + } + + return forms + })() + + const resetEditor = useStore(s => s.setControlPromptEditorRerenderKey) + + return <div className='my-2'> + <Field title={t('workflow.nodes.agent.strategy.label')} className='px-4 py-2' tooltip={t('workflow.nodes.agent.strategy.tooltip')} > + <AgentStrategy + strategy={inputs.agent_strategy_name ? { + agent_strategy_provider_name: inputs.agent_strategy_provider_name!, + agent_strategy_name: inputs.agent_strategy_name!, + agent_strategy_label: inputs.agent_strategy_label!, + agent_output_schema: inputs.output_schema, + plugin_unique_identifier: inputs.plugin_unique_identifier!, + } : undefined} + onStrategyChange={(strategy) => { + setInputs({ + ...inputs, + agent_strategy_provider_name: strategy?.agent_strategy_provider_name, + agent_strategy_name: strategy?.agent_strategy_name, + agent_strategy_label: strategy?.agent_strategy_label, + output_schema: strategy!.agent_output_schema, + plugin_unique_identifier: strategy!.plugin_unique_identifier, + agent_parameters: {}, + }) + resetEditor(Date.now()) + }} + formSchema={currentStrategy?.parameters?.map(strategyParamToCredientialForm) || []} + formValue={formData} + onFormValueChange={onFormChange} + nodeOutputVars={availableVars} + availableNodes={availableNodesWithParent} + nodeId={props.id} + /> + </Field> + <div> + <OutputVars> + <VarItem + name='text' + type='String' + description={t(`${i18nPrefix}.outputVars.text`)} + /> + <VarItem + name='files' + type='Array[File]' + description={t(`${i18nPrefix}.outputVars.files.title`)} + /> + <VarItem + name='json' + type='Array[Object]' + description={t(`${i18nPrefix}.outputVars.json`)} + /> + {outputSchema.map(({ name, type, description }) => ( + <VarItem + key={name} + name={name} + type={type} + description={description} + /> + ))} + </OutputVars> + </div> + { + isShowSingleRun && ( + <BeforeRunForm + nodeName={inputs.title} + nodeType={inputs.type} + onHide={hideSingleRun} + forms={singleRunForms} + runningStatus={runningStatus} + onRun={handleRun} + onStop={handleStop} + {...logsParams} + result={<ResultPanel {...runResult} nodeInfo={nodeInfo} showSteps={false} {...logsParams} />} + /> + ) + } + </div> +} + +AgentPanel.displayName = 'AgentPanel' + +export default memo(AgentPanel) diff --git a/web/app/components/workflow/nodes/agent/types.ts b/web/app/components/workflow/nodes/agent/types.ts new file mode 100644 index 00000000000000..1b5c96364f7638 --- /dev/null +++ b/web/app/components/workflow/nodes/agent/types.ts @@ -0,0 +1,11 @@ +import type { CommonNodeType } from '@/app/components/workflow/types' +import type { ToolVarInputs } from '../tool/types' + +export type AgentNodeType = CommonNodeType & { + agent_strategy_provider_name?: string + agent_strategy_name?: string + agent_strategy_label?: string + agent_parameters?: ToolVarInputs + output_schema: Record<string, any> + plugin_unique_identifier?: string +} diff --git a/web/app/components/workflow/nodes/agent/use-config.ts b/web/app/components/workflow/nodes/agent/use-config.ts new file mode 100644 index 00000000000000..3cc63be5a50b57 --- /dev/null +++ b/web/app/components/workflow/nodes/agent/use-config.ts @@ -0,0 +1,208 @@ +import { useStrategyProviderDetail } from '@/service/use-strategy' +import useNodeCrud from '../_base/hooks/use-node-crud' +import useVarList from '../_base/hooks/use-var-list' +import useOneStepRun from '../_base/hooks/use-one-step-run' +import type { AgentNodeType } from './types' +import { + useNodesReadOnly, +} from '@/app/components/workflow/hooks' +import { useCallback, useMemo } from 'react' +import { type ToolVarInputs, VarType } from '../tool/types' +import { useCheckInstalled, useFetchPluginsInMarketPlaceByIds } from '@/service/use-plugins' +import type { Var } from '../../types' +import { VarType as VarKindType } from '../../types' +import useAvailableVarList from '../_base/hooks/use-available-var-list' + +export type StrategyStatus = { + plugin: { + source: 'external' | 'marketplace' + installed: boolean + } + isExistInPlugin: boolean +} + +export const useStrategyInfo = ( + strategyProviderName?: string, + strategyName?: string, +) => { + const strategyProvider = useStrategyProviderDetail( + strategyProviderName || '', + { retry: false }, + ) + const strategy = strategyProvider.data?.declaration.strategies.find( + str => str.identity.name === strategyName, + ) + const marketplace = useFetchPluginsInMarketPlaceByIds([strategyProviderName!], { + retry: false, + }) + const strategyStatus: StrategyStatus | undefined = useMemo(() => { + if (strategyProvider.isLoading || marketplace.isLoading) + return undefined + const strategyExist = !!strategy + const isPluginInstalled = !strategyProvider.isError + const isInMarketplace = !!marketplace.data?.data.plugins.at(0) + return { + plugin: { + source: isInMarketplace ? 'marketplace' : 'external', + installed: isPluginInstalled, + }, + isExistInPlugin: strategyExist, + } + }, [strategy, marketplace, strategyProvider.isError, strategyProvider.isLoading]) + const refetch = useCallback(() => { + strategyProvider.refetch() + marketplace.refetch() + }, [marketplace, strategyProvider]) + return { + strategyProvider, + strategy, + strategyStatus, + refetch, + } +} + +const useConfig = (id: string, payload: AgentNodeType) => { + const { nodesReadOnly: readOnly } = useNodesReadOnly() + const { inputs, setInputs } = useNodeCrud<AgentNodeType>(id, payload) + // variables + const { handleVarListChange, handleAddVariable } = useVarList<AgentNodeType>({ + inputs, + setInputs, + }) + const { + strategyStatus: currentStrategyStatus, + strategy: currentStrategy, + strategyProvider, + } = useStrategyInfo( + inputs.agent_strategy_provider_name, + inputs.agent_strategy_name, + ) + const pluginId = inputs.agent_strategy_provider_name?.split('/').splice(0, 2).join('/') + const pluginDetail = useCheckInstalled({ + pluginIds: [pluginId!], + enabled: Boolean(pluginId), + }) + const formData = useMemo(() => { + return Object.fromEntries( + Object.entries(inputs.agent_parameters || {}).map(([key, value]) => { + return [key, value.value] + }), + ) + }, [inputs.agent_parameters]) + const onFormChange = (value: Record<string, any>) => { + const res: ToolVarInputs = {} + Object.entries(value).forEach(([key, val]) => { + res[key] = { + type: VarType.constant, + value: val, + } + }) + setInputs({ + ...inputs, + agent_parameters: res, + }) + } + + // vars + + const filterMemoryPromptVar = useCallback((varPayload: Var) => { + return [ + VarKindType.arrayObject, + VarKindType.array, + VarKindType.number, + VarKindType.string, + VarKindType.secret, + VarKindType.arrayString, + VarKindType.arrayNumber, + VarKindType.file, + VarKindType.arrayFile, + ].includes(varPayload.type) + }, []) + + const { + availableVars, + availableNodesWithParent, + } = useAvailableVarList(id, { + onlyLeafNodeVar: false, + filterVar: filterMemoryPromptVar, + }) + + // single run + const { + isShowSingleRun, + showSingleRun, + hideSingleRun, + toVarInputs, + runningStatus, + handleRun, + handleStop, + runInputData, + setRunInputData, + runResult, + getInputVars, + } = useOneStepRun<AgentNodeType>({ + id, + data: inputs, + defaultRunInputData: {}, + }) + const allVarStrArr = (() => { + const arr = currentStrategy?.parameters.filter(item => item.type === 'string').map((item) => { + return formData[item.name] + }) || [] + + return arr + })() + const varInputs = (() => { + const vars = getInputVars(allVarStrArr) + + return vars + })() + + const outputSchema = useMemo(() => { + const res: any[] = [] + if (!inputs.output_schema) + return [] + Object.keys(inputs.output_schema.properties).forEach((outputKey) => { + const output = inputs.output_schema.properties[outputKey] + res.push({ + name: outputKey, + type: output.type === 'array' + ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]` + : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`, + description: output.description, + }) + }) + return res + }, [inputs.output_schema]) + + return { + readOnly, + inputs, + setInputs, + handleVarListChange, + handleAddVariable, + currentStrategy, + formData, + onFormChange, + currentStrategyStatus, + strategyProvider: strategyProvider.data, + pluginDetail: pluginDetail.data?.plugins.at(0), + availableVars, + availableNodesWithParent, + + isShowSingleRun, + showSingleRun, + hideSingleRun, + toVarInputs, + runningStatus, + handleRun, + handleStop, + runInputData, + setRunInputData, + runResult, + varInputs, + outputSchema, + } +} + +export default useConfig diff --git a/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx b/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx index 8542bb482924b0..b2f8e8cb5bca16 100644 --- a/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx +++ b/web/app/components/workflow/nodes/assigner/components/operation-selector.tsx @@ -108,7 +108,7 @@ const OperationSelector: FC<OperationSelectorProps> = ({ }} > <div className='flex min-h-5 px-1 items-center gap-1 grow'> - <span className={'flex flex-grow text-text-secondary system-sm-medium'}>{t(`${i18nPrefix}.operations.${item.name}`)}</span> + <span className={'flex grow text-text-secondary system-sm-medium'}>{t(`${i18nPrefix}.operations.${item.name}`)}</span> </div> {item.value === value && ( <div className='flex justify-center items-center'> diff --git a/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx b/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx index 42ee9845dda82d..52d076624d2a94 100644 --- a/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx +++ b/web/app/components/workflow/nodes/assigner/components/var-list/index.tsx @@ -128,7 +128,7 @@ const VarList: FC<Props> = ({ return ( <div className='flex items-start gap-1 self-stretch' key={index}> - <div className='flex flex-col items-start gap-1 flex-grow'> + <div className='flex flex-col items-start gap-1 grow'> <div className='flex items-center gap-1 self-stretch'> <VarReferencePicker readonly={readonly} @@ -212,7 +212,7 @@ const VarList: FC<Props> = ({ </div> <ActionButton size='l' - className='flex-shrink-0 group hover:!bg-state-destructive-hover' + className='shrink-0 group hover:!bg-state-destructive-hover' onClick={handleVarRemove(index)} > <RiDeleteBinLine className='text-text-tertiary w-4 h-4 group-hover:text-text-destructive' /> diff --git a/web/app/components/workflow/nodes/assigner/node.tsx b/web/app/components/workflow/nodes/assigner/node.tsx index 516cfbcb160f03..23dcf04aaea988 100644 --- a/web/app/components/workflow/nodes/assigner/node.tsx +++ b/web/app/components/workflow/nodes/assigner/node.tsx @@ -3,7 +3,7 @@ import React from 'react' import { useNodes } from 'reactflow' import { useTranslation } from 'react-i18next' import NodeVariableItem from '../variable-assigner/components/node-variable-item' -import { type AssignerNodeType } from './types' +import type { AssignerNodeType } from './types' import { isConversationVar, isENV, isSystemVar } from '@/app/components/workflow/nodes/_base/components/variable/utils' import { BlockEnum, type Node, type NodeProps } from '@/app/components/workflow/types' diff --git a/web/app/components/workflow/nodes/assigner/panel.tsx b/web/app/components/workflow/nodes/assigner/panel.tsx index a470d949294c44..6b151a7cb082f0 100644 --- a/web/app/components/workflow/nodes/assigner/panel.tsx +++ b/web/app/components/workflow/nodes/assigner/panel.tsx @@ -7,9 +7,9 @@ import { import VarList from './components/var-list' import useConfig from './use-config' import type { AssignerNodeType } from './types' +import type { NodePanelProps } from '@/app/components/workflow/types' import { useHandleAddOperationItem } from './hooks' import ActionButton from '@/app/components/base/action-button' -import { type NodePanelProps } from '@/app/components/workflow/types' const i18nPrefix = 'workflow.nodes.assigner' @@ -40,7 +40,7 @@ const Panel: FC<NodePanelProps<AssignerNodeType>> = ({ <div className='flex py-2 flex-col items-start self-stretch'> <div className='flex flex-col justify-center items-start gap-1 px-4 py-2 w-full self-stretch'> <div className='flex items-start gap-2 self-stretch'> - <div className='flex flex-col justify-center items-start flex-grow text-text-secondary system-sm-semibold-uppercase'>{t(`${i18nPrefix}.variables`)}</div> + <div className='flex flex-col justify-center items-start grow text-text-secondary system-sm-semibold-uppercase'>{t(`${i18nPrefix}.variables`)}</div> <ActionButton onClick={handleAddOperation}> <RiAddLine className='w-4 h-4 shrink-0 text-text-tertiary' /> </ActionButton> diff --git a/web/app/components/workflow/nodes/code/panel.tsx b/web/app/components/workflow/nodes/code/panel.tsx index a0027daf53ae06..f20a9c60d652c0 100644 --- a/web/app/components/workflow/nodes/code/panel.tsx +++ b/web/app/components/workflow/nodes/code/panel.tsx @@ -13,7 +13,7 @@ import Field from '@/app/components/workflow/nodes/_base/components/field' import Split from '@/app/components/workflow/nodes/_base/components/split' import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor' import TypeSelector from '@/app/components/workflow/nodes/_base/components/selector' -import { type NodePanelProps } from '@/app/components/workflow/types' +import type { NodePanelProps } from '@/app/components/workflow/types' import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form' import ResultPanel from '@/app/components/workflow/run/result-panel' const i18nPrefix = 'workflow.nodes.code' diff --git a/web/app/components/workflow/nodes/constants.ts b/web/app/components/workflow/nodes/constants.ts index 82a21d9a585f1b..d765b89f86c039 100644 --- a/web/app/components/workflow/nodes/constants.ts +++ b/web/app/components/workflow/nodes/constants.ts @@ -34,6 +34,9 @@ import DocExtractorNode from './document-extractor/node' import DocExtractorPanel from './document-extractor/panel' import ListFilterNode from './list-operator/node' import ListFilterPanel from './list-operator/panel' +import AgentNode from './agent/node' +import AgentPanel from './agent/panel' +import { TransferMethod } from '@/types/app' export const NodeComponentMap: Record<string, ComponentType<any>> = { [BlockEnum.Start]: StartNode, @@ -54,6 +57,7 @@ export const NodeComponentMap: Record<string, ComponentType<any>> = { [BlockEnum.Iteration]: IterationNode, [BlockEnum.DocExtractor]: DocExtractorNode, [BlockEnum.ListFilter]: ListFilterNode, + [BlockEnum.Agent]: AgentNode, } export const PanelComponentMap: Record<string, ComponentType<any>> = { @@ -75,6 +79,22 @@ export const PanelComponentMap: Record<string, ComponentType<any>> = { [BlockEnum.Iteration]: IterationPanel, [BlockEnum.DocExtractor]: DocExtractorPanel, [BlockEnum.ListFilter]: ListFilterPanel, + [BlockEnum.Agent]: AgentPanel, } export const CUSTOM_NODE_TYPE = 'custom' + +export const FILE_TYPE_OPTIONS = [ + { value: 'image', i18nKey: 'image' }, + { value: 'document', i18nKey: 'doc' }, + { value: 'audio', i18nKey: 'audio' }, + { value: 'video', i18nKey: 'video' }, +] + +export const TRANSFER_METHOD = [ + { value: TransferMethod.local_file, i18nKey: 'localUpload' }, + { value: TransferMethod.remote_url, i18nKey: 'url' }, +] + +export const SUB_VARIABLES = ['type', 'size', 'name', 'url', 'extension', 'mime_type', 'transfer_method'] +export const OUTPUT_FILE_SUB_VARIABLES = SUB_VARIABLES.filter(key => key !== 'transfer_method') diff --git a/web/app/components/workflow/nodes/document-extractor/default.ts b/web/app/components/workflow/nodes/document-extractor/default.ts index 4ffc64b72b5253..e141844d1906fb 100644 --- a/web/app/components/workflow/nodes/document-extractor/default.ts +++ b/web/app/components/workflow/nodes/document-extractor/default.ts @@ -1,6 +1,6 @@ import { BlockEnum } from '../../types' import type { NodeDefault } from '../../types' -import { type DocExtractorNodeType } from './types' +import type { DocExtractorNodeType } from './types' import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks' const i18nPrefix = 'workflow.errorMsg' diff --git a/web/app/components/workflow/nodes/document-extractor/node.tsx b/web/app/components/workflow/nodes/document-extractor/node.tsx index 6324961051306a..becf9fda95fd70 100644 --- a/web/app/components/workflow/nodes/document-extractor/node.tsx +++ b/web/app/components/workflow/nodes/document-extractor/node.tsx @@ -3,7 +3,7 @@ import React from 'react' import { useNodes } from 'reactflow' import { useTranslation } from 'react-i18next' import NodeVariableItem from '../variable-assigner/components/node-variable-item' -import { type DocExtractorNodeType } from './types' +import type { DocExtractorNodeType } from './types' import { isConversationVar, isENV, isSystemVar } from '@/app/components/workflow/nodes/_base/components/variable/utils' import { BlockEnum, type Node, type NodeProps } from '@/app/components/workflow/types' diff --git a/web/app/components/workflow/nodes/document-extractor/use-config.ts b/web/app/components/workflow/nodes/document-extractor/use-config.ts index 9d720d7b6397ff..95ac9fe7a71a41 100644 --- a/web/app/components/workflow/nodes/document-extractor/use-config.ts +++ b/web/app/components/workflow/nodes/document-extractor/use-config.ts @@ -4,7 +4,7 @@ import { useStoreApi } from 'reactflow' import type { ValueSelector, Var } from '../../types' import { InputVarType, VarType } from '../../types' -import { type DocExtractorNodeType } from './types' +import type { DocExtractorNodeType } from './types' import useNodeCrud from '@/app/components/workflow/nodes/_base/hooks/use-node-crud' import useOneStepRun from '@/app/components/workflow/nodes/_base/hooks/use-one-step-run' import { diff --git a/web/app/components/workflow/nodes/end/default.ts b/web/app/components/workflow/nodes/end/default.ts index 25abfb5849d307..8ff824a7a07628 100644 --- a/web/app/components/workflow/nodes/end/default.ts +++ b/web/app/components/workflow/nodes/end/default.ts @@ -1,6 +1,6 @@ import { BlockEnum } from '../../types' import type { NodeDefault } from '../../types' -import { type EndNodeType } from './types' +import type { EndNodeType } from './types' import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks' const nodeDefault: NodeDefault<EndNodeType> = { diff --git a/web/app/components/workflow/nodes/end/panel.tsx b/web/app/components/workflow/nodes/end/panel.tsx index a74ba51b6d707e..fc5e498d13df6f 100644 --- a/web/app/components/workflow/nodes/end/panel.tsx +++ b/web/app/components/workflow/nodes/end/panel.tsx @@ -1,4 +1,4 @@ -import { type FC } from 'react' +import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' import useConfig from './use-config' @@ -6,7 +6,7 @@ import type { EndNodeType } from './types' import VarList from '@/app/components/workflow/nodes/_base/components/variable/var-list' import Field from '@/app/components/workflow/nodes/_base/components/field' import AddButton from '@/app/components/base/button/add-button' -import { type NodePanelProps } from '@/app/components/workflow/types' +import type { NodePanelProps } from '@/app/components/workflow/types' const i18nPrefix = 'workflow.nodes.end' diff --git a/web/app/components/workflow/nodes/http/components/authorization/index.tsx b/web/app/components/workflow/nodes/http/components/authorization/index.tsx index 7110188dbeacc5..5f0cf8d88882b8 100644 --- a/web/app/components/workflow/nodes/http/components/authorization/index.tsx +++ b/web/app/components/workflow/nodes/http/components/authorization/index.tsx @@ -17,7 +17,7 @@ import cn from '@/utils/classnames' const i18nPrefix = 'workflow.nodes.http.authorization' -type Props = { +interface Props { nodeId: string payload: AuthorizationPayloadType onChange: (payload: AuthorizationPayloadType) => void diff --git a/web/app/components/workflow/nodes/http/components/edit-body/index.tsx b/web/app/components/workflow/nodes/http/components/edit-body/index.tsx index b58cc680644059..0297d3102eb263 100644 --- a/web/app/components/workflow/nodes/http/components/edit-body/index.tsx +++ b/web/app/components/workflow/nodes/http/components/edit-body/index.tsx @@ -15,7 +15,7 @@ import { VarType } from '@/app/components/workflow/types' const UNIQUE_ID_PREFIX = 'key-value-' -type Props = { +interface Props { readonly: boolean nodeId: string payload: Body diff --git a/web/app/components/workflow/nodes/http/components/key-value/index.tsx b/web/app/components/workflow/nodes/http/components/key-value/index.tsx index e930114f323897..97f69ff2db4b58 100644 --- a/web/app/components/workflow/nodes/http/components/key-value/index.tsx +++ b/web/app/components/workflow/nodes/http/components/key-value/index.tsx @@ -4,7 +4,7 @@ import React from 'react' import type { KeyValue } from '../../types' import KeyValueEdit from './key-value-edit' -type Props = { +interface Props { readonly: boolean nodeId: string list: KeyValue[] diff --git a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx index adf7f966e045b6..dac2c1c17c14a2 100644 --- a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx +++ b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/index.tsx @@ -9,7 +9,7 @@ import cn from '@/utils/classnames' const i18nPrefix = 'workflow.nodes.http' -type Props = { +interface Props { readonly: boolean nodeId: string list: KeyValue[] diff --git a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx index b6d2904d64bd28..fdaeefbc4a85d3 100644 --- a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx +++ b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/input-item.tsx @@ -8,7 +8,7 @@ import RemoveButton from '@/app/components/workflow/nodes/_base/components/remov import Input from '@/app/components/workflow/nodes/_base/components/input-support-select-var' import type { Var } from '@/app/components/workflow/types' import { VarType } from '@/app/components/workflow/types' -type Props = { +interface Props { className?: string instanceId?: string nodeId: string diff --git a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx index 75c6a77873083e..9c64f9f764f430 100644 --- a/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx +++ b/web/app/components/workflow/nodes/http/components/key-value/key-value-edit/item.tsx @@ -14,7 +14,7 @@ import { VarType } from '@/app/components/workflow/types' const i18nPrefix = 'workflow.nodes.http' -type Props = { +interface Props { instanceId: string className?: string nodeId: string diff --git a/web/app/components/workflow/nodes/http/components/timeout/index.tsx b/web/app/components/workflow/nodes/http/components/timeout/index.tsx index f20a91dba54042..2de3bd443c2245 100644 --- a/web/app/components/workflow/nodes/http/components/timeout/index.tsx +++ b/web/app/components/workflow/nodes/http/components/timeout/index.tsx @@ -6,7 +6,7 @@ import type { Timeout as TimeoutPayloadType } from '../../types' import Input from '@/app/components/base/input' import { FieldCollapse } from '@/app/components/workflow/nodes/_base/components/collapse' -type Props = { +interface Props { readonly: boolean nodeId: string payload: TimeoutPayloadType @@ -35,7 +35,7 @@ const InputField: FC<{ type='number' value={value} onChange={(e) => { - const value = Math.max(min, Math.min(max, parseInt(e.target.value, 10))) + const value = Math.max(min, Math.min(max, Number.parseInt(e.target.value, 10))) onChange(value) }} placeholder={placeholder} diff --git a/web/app/components/workflow/nodes/http/panel.tsx b/web/app/components/workflow/nodes/http/panel.tsx index 91b3a6140d8d16..8f2b901a849a87 100644 --- a/web/app/components/workflow/nodes/http/panel.tsx +++ b/web/app/components/workflow/nodes/http/panel.tsx @@ -18,7 +18,6 @@ import { FileArrow01 } from '@/app/components/base/icons/src/vender/line/files' import type { NodePanelProps } from '@/app/components/workflow/types' import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form' import ResultPanel from '@/app/components/workflow/run/result-panel' -import { useRetryDetailShowInSingleRun } from '@/app/components/workflow/nodes/_base/components/retry/hooks' const i18nPrefix = 'workflow.nodes.http' @@ -61,10 +60,6 @@ const Panel: FC<NodePanelProps<HttpNodeType>> = ({ hideCurlPanel, handleCurlImport, } = useConfig(id, data) - const { - retryDetails, - handleRetryDetailsChange, - } = useRetryDetailShowInSingleRun() // To prevent prompt editor in body not update data. if (!isDataReady) return null @@ -198,9 +193,7 @@ const Panel: FC<NodePanelProps<HttpNodeType>> = ({ runningStatus={runningStatus} onRun={handleRun} onStop={handleStop} - retryDetails={retryDetails} - onRetryDetailBack={handleRetryDetailsChange} - result={<ResultPanel {...runResult} showSteps={false} onShowRetryDetail={handleRetryDetailsChange} />} + result={<ResultPanel {...runResult} showSteps={false} />} /> )} {(isShowCurlPanel && !readOnly) && ( diff --git a/web/app/components/workflow/nodes/http/types.ts b/web/app/components/workflow/nodes/http/types.ts index f1937ec5bd8bd6..775d621eeaff67 100644 --- a/web/app/components/workflow/nodes/http/types.ts +++ b/web/app/components/workflow/nodes/http/types.ts @@ -18,7 +18,7 @@ export enum BodyType { binary = 'binary', } -export type KeyValue = { +export interface KeyValue { id?: string key: string value: string @@ -38,7 +38,7 @@ export type BodyPayload = { file?: ValueSelector // when type is file value?: string // when type is text }[] -export type Body = { +export interface Body { type: BodyType data: string | BodyPayload // string is deprecated, it would convert to BodyPayload after loaded } @@ -54,7 +54,7 @@ export enum APIType { custom = 'custom', } -export type Authorization = { +export interface Authorization { type: AuthorizationType config?: { type: APIType @@ -63,7 +63,7 @@ export type Authorization = { } | null } -export type Timeout = { +export interface Timeout { connect?: number read?: number write?: number diff --git a/web/app/components/workflow/nodes/if-else/components/condition-add.tsx b/web/app/components/workflow/nodes/if-else/components/condition-add.tsx index 344e9863053f04..8b14a59dccd9e7 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-add.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-add.tsx @@ -18,7 +18,7 @@ import type { Var, } from '@/app/components/workflow/types' -type ConditionAddProps = { +interface ConditionAddProps { className?: string caseId: string variables: NodeOutPutVar[] diff --git a/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx b/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx index f21a3fac10cbe5..b0cfdeaf2868bc 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-files-list-value.tsx @@ -9,7 +9,7 @@ import { isComparisonOperatorNeedTranslate, isEmptyRelatedOperator, } from '../utils' -import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../default' +import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../../constants' import type { ValueSelector } from '../../../types' import { Variable02 } from '@/app/components/base/icons/src/vender/solid/development' import { BubbleX, Env } from '@/app/components/base/icons/src/vender/line/others' diff --git a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx index 818383c75002a6..670f766beaa06c 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-item.tsx @@ -21,7 +21,7 @@ import { } from '../../types' import { comparisonOperatorNotRequireValue, getOperators } from '../../utils' import ConditionNumberInput from '../condition-number-input' -import { FILE_TYPE_OPTIONS, SUB_VARIABLES, TRANSFER_METHOD } from '../../default' +import { FILE_TYPE_OPTIONS, SUB_VARIABLES, TRANSFER_METHOD } from '../../../constants' import ConditionWrap from '../condition-wrap' import ConditionOperator from './condition-operator' import ConditionInput from './condition-input' diff --git a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx index ecbe53f689cd14..afd9b1bccd88d5 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-list/condition-operator.tsx @@ -16,7 +16,7 @@ import type { VarType } from '@/app/components/workflow/types' import cn from '@/utils/classnames' const i18nPrefix = 'workflow.nodes.ifElse' -type ConditionOperatorProps = { +interface ConditionOperatorProps { className?: string disabled?: boolean varType: VarType diff --git a/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx b/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx index 05b5df4f4a2457..7417cd107751ea 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-list/index.tsx @@ -19,7 +19,7 @@ import type { } from '@/app/components/workflow/types' import cn from '@/utils/classnames' -type ConditionListProps = { +interface ConditionListProps { isSubVariable?: boolean disabled?: boolean caseId: string diff --git a/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx b/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx index 5dabd967cd113b..95b0aa0c02c035 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-number-input.tsx @@ -30,7 +30,7 @@ const options = [ NumberVarType.constant, ] -type ConditionNumberInputProps = { +interface ConditionNumberInputProps { numberVarType?: NumberVarType onNumberVarTypeChange: (v: NumberVarType) => void value: string diff --git a/web/app/components/workflow/nodes/if-else/components/condition-value.tsx b/web/app/components/workflow/nodes/if-else/components/condition-value.tsx index e997c2cbd2df51..8bfa77acc1ba3e 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-value.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-value.tsx @@ -9,7 +9,7 @@ import { comparisonOperatorNotRequireValue, isComparisonOperatorNeedTranslate, } from '../utils' -import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../default' +import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '../../constants' import { Variable02 } from '@/app/components/base/icons/src/vender/solid/development' import { BubbleX, Env } from '@/app/components/base/icons/src/vender/line/others' import cn from '@/utils/classnames' diff --git a/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx b/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx index 39c03c9b386dce..a09cb5fa296f64 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-wrap.tsx @@ -12,7 +12,7 @@ import type { CaseItem, HandleAddCondition, HandleAddSubVariableCondition, Handl import type { Node, NodeOutPutVar, Var } from '../../../types' import { VarType } from '../../../types' import { useGetAvailableVars } from '../../variable-assigner/hooks' -import { SUB_VARIABLES } from '../default' +import { SUB_VARIABLES } from '../../constants' import ConditionList from './condition-list' import ConditionAdd from './condition-add' import cn from '@/utils/classnames' diff --git a/web/app/components/workflow/nodes/if-else/default.ts b/web/app/components/workflow/nodes/if-else/default.ts index 8d98f694bd7d18..1be80592e58641 100644 --- a/web/app/components/workflow/nodes/if-else/default.ts +++ b/web/app/components/workflow/nodes/if-else/default.ts @@ -1,7 +1,6 @@ import { BlockEnum, type NodeDefault } from '../../types' import { type IfElseNodeType, LogicalOperator } from './types' import { isEmptyRelatedOperator } from './utils' -import { TransferMethod } from '@/types/app' import { ALL_CHAT_AVAILABLE_BLOCKS, ALL_COMPLETION_AVAILABLE_BLOCKS } from '@/app/components/workflow/blocks' const i18nPrefix = 'workflow.errorMsg' @@ -79,18 +78,3 @@ const nodeDefault: NodeDefault<IfElseNodeType> = { } export default nodeDefault - -export const FILE_TYPE_OPTIONS = [ - { value: 'image', i18nKey: 'image' }, - { value: 'document', i18nKey: 'doc' }, - { value: 'audio', i18nKey: 'audio' }, - { value: 'video', i18nKey: 'video' }, -] - -export const TRANSFER_METHOD = [ - { value: TransferMethod.local_file, i18nKey: 'localUpload' }, - { value: TransferMethod.remote_url, i18nKey: 'url' }, -] - -export const SUB_VARIABLES = ['type', 'size', 'name', 'url', 'extension', 'mime_type', 'transfer_method'] -export const OUTPUT_FILE_SUB_VARIABLES = SUB_VARIABLES.filter(key => key !== 'transfer_method') diff --git a/web/app/components/workflow/nodes/if-else/types.ts b/web/app/components/workflow/nodes/if-else/types.ts index 56952de25a0c8f..22238b33892fbd 100644 --- a/web/app/components/workflow/nodes/if-else/types.ts +++ b/web/app/components/workflow/nodes/if-else/types.ts @@ -35,7 +35,7 @@ export enum ComparisonOperator { notExists = 'not exists', } -export type Condition = { +export interface Condition { id: string varType: VarType variable_selector?: ValueSelector @@ -46,7 +46,7 @@ export type Condition = { sub_variable_condition?: CaseItem } -export type CaseItem = { +export interface CaseItem { case_id: string logical_operator: LogicalOperator conditions: Condition[] diff --git a/web/app/components/workflow/nodes/iteration/panel.tsx b/web/app/components/workflow/nodes/iteration/panel.tsx index b21f11fc7a2b35..31aeaba637df93 100644 --- a/web/app/components/workflow/nodes/iteration/panel.tsx +++ b/web/app/components/workflow/nodes/iteration/panel.tsx @@ -1,13 +1,9 @@ import type { FC } from 'react' import React from 'react' import { useTranslation } from 'react-i18next' -import { - RiArrowRightSLine, -} from '@remixicon/react' import VarReferencePicker from '../_base/components/variable/var-reference-picker' import Split from '../_base/components/split' import ResultPanel from '../../run/result-panel' -import IterationResultPanel from '../../run/iteration-result-panel' import { MAX_ITERATION_PARALLEL_NUM, MIN_ITERATION_PARALLEL_NUM } from '../../constants' import type { IterationNodeType } from './types' import useConfig from './use-config' @@ -18,6 +14,9 @@ import Switch from '@/app/components/base/switch' import Select from '@/app/components/base/select' import Slider from '@/app/components/base/slider' import Input from '@/app/components/base/input' +import formatTracing from '@/app/components/workflow/run/utils/format-log' + +import { useLogs } from '@/app/components/workflow/run/hooks' const i18nPrefix = 'workflow.nodes.iteration' @@ -50,10 +49,6 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({ handleOutputVarChange, isShowSingleRun, hideSingleRun, - isShowIterationDetail, - backToSingleRun, - showIterationDetail, - hideIterationDetail, runningStatus, handleRun, handleStop, @@ -70,6 +65,9 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({ changeParallelNums, } = useConfig(id, data) + const nodeInfo = formatTracing(iterationRunResult, t)[0] + const logsParams = useLogs() + return ( <div className='pt-2 pb-2'> <div className='px-4 pb-4 space-y-4'> @@ -123,7 +121,7 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({ onChange={changeParallelNums} max={MAX_ITERATION_PARALLEL_NUM} min={MIN_ITERATION_PARALLEL_NUM} - className=' flex-shrink-0 flex-1 mt-4' + className=' shrink-0 flex-1 mt-4' /> </div> @@ -163,27 +161,12 @@ const Panel: FC<NodePanelProps<IterationNodeType>> = ({ runningStatus={runningStatus} onRun={handleRun} onStop={handleStop} + {...logsParams} result={ - <div className='mt-3'> - <div className='px-4'> - <div className='flex items-center h-[34px] justify-between px-3 bg-gray-100 border-[0.5px] border-gray-200 rounded-lg cursor-pointer' onClick={showIterationDetail}> - <div className='leading-[18px] text-[13px] font-medium text-gray-700'>{t(`${i18nPrefix}.iteration`, { count: iterationRunResult.length })}</div> - <RiArrowRightSLine className='w-3.5 h-3.5 text-gray-500' /> - </div> - <Split className='mt-3' /> - </div> - <ResultPanel {...runResult} showSteps={false} /> - </div> + <ResultPanel {...runResult} showSteps={false} nodeInfo={nodeInfo} {...logsParams} /> } /> )} - {isShowIterationDetail && ( - <IterationResultPanel - onBack={backToSingleRun} - onHide={hideIterationDetail} - list={iterationRunResult} - /> - )} </div> ) } diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx index e65495d370f36a..bf0485e1ce281a 100644 --- a/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx +++ b/web/app/components/workflow/nodes/knowledge-retrieval/components/dataset-item.tsx @@ -84,7 +84,7 @@ const DatasetItem: FC<Props> = ({ showSettingsModal() }} > - <RiEditLine className='w-4 h-4 flex-shrink-0 text-text-tertiary' /> + <RiEditLine className='w-4 h-4 shrink-0 text-text-tertiary' /> </ActionButton> } <ActionButton @@ -93,7 +93,7 @@ const DatasetItem: FC<Props> = ({ onMouseEnter={() => setIsDeleteHovered(true)} onMouseLeave={() => setIsDeleteHovered(false)} > - <RiDeleteBinLine className={`w-4 h-4 flex-shrink-0 ${isDeleteHovered ? 'text-text-destructive' : 'text-text-tertiary'}`} /> + <RiDeleteBinLine className={`w-4 h-4 shrink-0 ${isDeleteHovered ? 'text-text-destructive' : 'text-text-tertiary'}`} /> </ActionButton> </div> )} diff --git a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts index eccafa91844ea8..fd4a5806eb6436 100644 --- a/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts +++ b/web/app/components/workflow/nodes/knowledge-retrieval/utils.ts @@ -167,6 +167,9 @@ export const getMultipleRetrievalConfig = ( } } } + else { + result.reranking_enable = true + } } if (allHighQuality && !inconsistentEmbeddingModel && allInternal) { diff --git a/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx b/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx index b64f7535149998..0c261a70d6badd 100644 --- a/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx +++ b/web/app/components/workflow/nodes/list-operator/components/filter-condition.tsx @@ -9,7 +9,7 @@ import { ComparisonOperator } from '../../if-else/types' import { comparisonOperatorNotRequireValue, getOperators } from '../../if-else/utils' import SubVariablePicker from './sub-variable-picker' import Input from '@/app/components/base/input' -import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '@/app/components/workflow/nodes/if-else/default' +import { FILE_TYPE_OPTIONS, TRANSFER_METHOD } from '@/app/components/workflow/nodes/constants' import { SimpleSelect as Select } from '@/app/components/base/select' const optionNameI18NPrefix = 'workflow.nodes.ifElse.optionName' diff --git a/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx b/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx index f245e07c1297b5..b8812d34737926 100644 --- a/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx +++ b/web/app/components/workflow/nodes/list-operator/components/limit-config.tsx @@ -45,7 +45,7 @@ const LimitConfig: FC<Props> = ({ const handleLimitSizeChange = useCallback((size: number | string) => { onChange({ ...config, - size: parseInt(size as string), + size: Number.parseInt(size as string), }) }, [onChange, config]) diff --git a/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx b/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx index 0a210504cf94c3..c3a8708603dbfa 100644 --- a/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx +++ b/web/app/components/workflow/nodes/list-operator/components/sub-variable-picker.tsx @@ -2,7 +2,7 @@ import type { FC } from 'react' import React, { useCallback } from 'react' import { useTranslation } from 'react-i18next' -import { SUB_VARIABLES } from '../../if-else/default' +import { SUB_VARIABLES } from '../../constants' import type { Item } from '@/app/components/base/select' import { SimpleSelect as Select } from '@/app/components/base/select' import { Variable02 } from '@/app/components/base/icons/src/vender/solid/development' diff --git a/web/app/components/workflow/nodes/list-operator/node.tsx b/web/app/components/workflow/nodes/list-operator/node.tsx index 721e13b2d2c8ff..5c498369c791da 100644 --- a/web/app/components/workflow/nodes/list-operator/node.tsx +++ b/web/app/components/workflow/nodes/list-operator/node.tsx @@ -3,7 +3,7 @@ import React from 'react' import { useNodes } from 'reactflow' import { useTranslation } from 'react-i18next' import NodeVariableItem from '../variable-assigner/components/node-variable-item' -import { type ListFilterNodeType } from './types' +import type { ListFilterNodeType } from './types' import { isConversationVar, isENV, isSystemVar } from '@/app/components/workflow/nodes/_base/components/variable/utils' import { BlockEnum, type Node, type NodeProps } from '@/app/components/workflow/types' diff --git a/web/app/components/workflow/nodes/list-operator/panel.tsx b/web/app/components/workflow/nodes/list-operator/panel.tsx index 3075c1dec73690..4212305c8c4c28 100644 --- a/web/app/components/workflow/nodes/list-operator/panel.tsx +++ b/web/app/components/workflow/nodes/list-operator/panel.tsx @@ -11,7 +11,7 @@ import { type ListFilterNodeType, OrderBy } from './types' import LimitConfig from './components/limit-config' import FilterCondition from './components/filter-condition' import Field from '@/app/components/workflow/nodes/_base/components/field' -import { type NodePanelProps } from '@/app/components/workflow/types' +import type { NodePanelProps } from '@/app/components/workflow/types' import Switch from '@/app/components/base/switch' import ExtractInput from '@/app/components/workflow/nodes/list-operator/components/extract-input' diff --git a/web/app/components/workflow/nodes/llm/node.tsx b/web/app/components/workflow/nodes/llm/node.tsx index 3d81c172bec0c2..ce676ba984f519 100644 --- a/web/app/components/workflow/nodes/llm/node.tsx +++ b/web/app/components/workflow/nodes/llm/node.tsx @@ -25,6 +25,7 @@ const Node: FC<NodeProps<LLMNodeType>> = ({ <ModelSelector defaultModel={{ provider, model: modelId }} modelList={textGenerationModelList} + triggerClassName='!h-6 !rounded-md' readonly /> )} diff --git a/web/app/components/workflow/nodes/llm/panel.tsx b/web/app/components/workflow/nodes/llm/panel.tsx index 60f68d93e21270..cc0f1c18f46366 100644 --- a/web/app/components/workflow/nodes/llm/panel.tsx +++ b/web/app/components/workflow/nodes/llm/panel.tsx @@ -19,7 +19,6 @@ import type { Props as FormProps } from '@/app/components/workflow/nodes/_base/c import ResultPanel from '@/app/components/workflow/run/result-panel' import Tooltip from '@/app/components/base/tooltip' import Editor from '@/app/components/workflow/nodes/_base/components/prompt/editor' -import { useRetryDetailShowInSingleRun } from '@/app/components/workflow/nodes/_base/components/retry/hooks' const i18nPrefix = 'workflow.nodes.llm' @@ -70,10 +69,6 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({ runResult, filterJinjia2InputVar, } = useConfig(id, data) - const { - retryDetails, - handleRetryDetailsChange, - } = useRetryDetailShowInSingleRun() const model = inputs.model @@ -293,9 +288,7 @@ const Panel: FC<NodePanelProps<LLMNodeType>> = ({ runningStatus={runningStatus} onRun={handleRun} onStop={handleStop} - retryDetails={retryDetails} - onRetryDetailBack={handleRetryDetailsChange} - result={<ResultPanel {...runResult} showSteps={false} onShowRetryDetail={handleRetryDetailsChange} />} + result={<ResultPanel {...runResult} showSteps={false} />} /> )} </div> diff --git a/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx b/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx index f7cf7bddad9278..dbf0839ebf7f70 100644 --- a/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx +++ b/web/app/components/workflow/nodes/parameter-extractor/components/extract-parameter/update.tsx @@ -28,7 +28,7 @@ const DEFAULT_PARAM: Param = { required: false, } -type Props = { +interface Props { type: 'add' | 'edit' payload?: Param onSave: (payload: Param, moreInfo?: MoreInfo) => void diff --git a/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx b/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx index f4fd6e85a6c502..8612e8954f9776 100644 --- a/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx +++ b/web/app/components/workflow/nodes/parameter-extractor/components/reasoning-mode-picker.tsx @@ -8,7 +8,7 @@ import OptionCard from '../../_base/components/option-card' const i18nPrefix = 'workflow.nodes.parameterExtractor' -type Props = { +interface Props { type: ReasoningModeType onChange: (type: ReasoningModeType) => void } diff --git a/web/app/components/workflow/nodes/parameter-extractor/node.tsx b/web/app/components/workflow/nodes/parameter-extractor/node.tsx index 8a1b08e92441e2..d79ae717d9447d 100644 --- a/web/app/components/workflow/nodes/parameter-extractor/node.tsx +++ b/web/app/components/workflow/nodes/parameter-extractor/node.tsx @@ -21,6 +21,7 @@ const Node: FC<NodeProps<ParameterExtractorNodeType>> = ({ <ModelSelector defaultModel={{ provider, model: modelId }} modelList={textGenerationModelList} + triggerClassName='!h-6 !rounded-md' readonly /> )} diff --git a/web/app/components/workflow/nodes/parameter-extractor/types.ts b/web/app/components/workflow/nodes/parameter-extractor/types.ts index f5ba717be8933c..f96d26a7afafec 100644 --- a/web/app/components/workflow/nodes/parameter-extractor/types.ts +++ b/web/app/components/workflow/nodes/parameter-extractor/types.ts @@ -10,7 +10,7 @@ export enum ParamType { arrayObject = 'array[object]', } -export type Param = { +export interface Param { name: string type: ParamType options?: string[] diff --git a/web/app/components/workflow/nodes/question-classifier/node.tsx b/web/app/components/workflow/nodes/question-classifier/node.tsx index 8ca721fbef05d7..8316c3b259a5ea 100644 --- a/web/app/components/workflow/nodes/question-classifier/node.tsx +++ b/web/app/components/workflow/nodes/question-classifier/node.tsx @@ -32,6 +32,7 @@ const Node: FC<NodeProps<QuestionClassifierNodeType>> = (props) => { {hasSetModel && ( <ModelSelector defaultModel={{ provider, model: modelId }} + triggerClassName='!h-6 !rounded-md' modelList={textGenerationModelList} readonly /> diff --git a/web/app/components/workflow/nodes/question-classifier/types.ts b/web/app/components/workflow/nodes/question-classifier/types.ts index ddc16b4501e972..ca102b083e352b 100644 --- a/web/app/components/workflow/nodes/question-classifier/types.ts +++ b/web/app/components/workflow/nodes/question-classifier/types.ts @@ -1,6 +1,6 @@ import type { CommonNodeType, Memory, ModelConfig, ValueSelector, VisionSetting } from '@/app/components/workflow/types' -export type Topic = { +export interface Topic { id: string name: string } diff --git a/web/app/components/workflow/nodes/start/components/var-item.tsx b/web/app/components/workflow/nodes/start/components/var-item.tsx index 8a941619999a62..2ccb1edb567b73 100644 --- a/web/app/components/workflow/nodes/start/components/var-item.tsx +++ b/web/app/components/workflow/nodes/start/components/var-item.tsx @@ -13,7 +13,7 @@ import { Edit03 } from '@/app/components/base/icons/src/vender/solid/general' import Badge from '@/app/components/base/badge' import ConfigVarModal from '@/app/components/app/configuration/config-var/config-modal' -type Props = { +interface Props { readonly: boolean payload: InputVar onChange?: (item: InputVar, moreInfo?: MoreInfo) => void diff --git a/web/app/components/workflow/nodes/tool/components/input-var-list.tsx b/web/app/components/workflow/nodes/tool/components/input-var-list.tsx index bab7c20d5b785b..d4cef82c43917a 100644 --- a/web/app/components/workflow/nodes/tool/components/input-var-list.tsx +++ b/web/app/components/workflow/nodes/tool/components/input-var-list.tsx @@ -14,6 +14,9 @@ import VarReferencePicker from '@/app/components/workflow/nodes/_base/components import Input from '@/app/components/workflow/nodes/_base/components/input-support-select-var' import useAvailableVarList from '@/app/components/workflow/nodes/_base/hooks/use-available-var-list' import { VarType } from '@/app/components/workflow/types' +import AppSelector from '@/app/components/plugins/plugin-detail-panel/app-selector' +import ModelParameterModal from '@/app/components/plugins/plugin-detail-panel/model-selector' + type Props = { readOnly: boolean nodeId: string @@ -46,12 +49,14 @@ const InputVarList: FC<Props> = ({ const paramType = (type: string) => { if (type === FormTypeEnum.textNumber) return 'Number' - else if (type === FormTypeEnum.file) - return 'File' - else if (type === FormTypeEnum.files) + else if (type === FormTypeEnum.file || type === FormTypeEnum.files) return 'Files' - else if (type === FormTypeEnum.select) - return 'Options' + else if (type === FormTypeEnum.appSelector) + return 'AppSelector' + else if (type === FormTypeEnum.modelSelector) + return 'ModelSelector' + else if (type === FormTypeEnum.toolSelector) + return 'ToolSelector' else return 'String' } @@ -73,7 +78,7 @@ const InputVarList: FC<Props> = ({ }) onChange(newValue) } - }, [value, onChange, isSupportConstantValue]) + }, [value, onChange]) const handleMixedTypeChange = useCallback((variable: string) => { return (itemValue: string) => { @@ -105,6 +110,30 @@ const InputVarList: FC<Props> = ({ } }, [value, onChange]) + const handleAppChange = useCallback((variable: string) => { + return (app: { + app_id: string + inputs: Record<string, any> + files?: any[] + }) => { + const newValue = produce(value, (draft: ToolVarInputs) => { + draft[variable] = app as any + }) + onChange(newValue) + } + }, [onChange, value]) + const handleModelChange = useCallback((variable: string) => { + return (model: any) => { + const newValue = produce(value, (draft: ToolVarInputs) => { + draft[variable] = { + ...draft[variable], + ...model, + } as any + }) + onChange(newValue) + } + }, [onChange, value]) + const [inputsIsFocus, setInputsIsFocus] = useState<Record<string, boolean>>({}) const handleInputFocus = useCallback((variable: string) => { return (value: boolean) => { @@ -129,13 +158,16 @@ const InputVarList: FC<Props> = ({ type, required, tooltip, + scope, } = schema const varInput = value[variable] const isNumber = type === FormTypeEnum.textNumber const isSelect = type === FormTypeEnum.select - const isFile = type === FormTypeEnum.file - const isFileArray = type === FormTypeEnum.files - const isString = !isNumber && !isSelect && !isFile && !isFileArray + const isFile = type === FormTypeEnum.file || type === FormTypeEnum.files + const isAppSelector = type === FormTypeEnum.appSelector + const isModelSelector = type === FormTypeEnum.modelSelector + // const isToolSelector = type === FormTypeEnum.toolSelector + const isString = !isNumber && !isSelect && !isFile && !isAppSelector && !isModelSelector return ( <div key={variable} className='space-y-1'> @@ -181,19 +213,26 @@ const InputVarList: FC<Props> = ({ onChange={handleFileChange(variable)} onOpen={handleOpen(index)} defaultVarKindType={VarKindType.variable} - filterVar={(varPayload: Var) => varPayload.type === VarType.file} + filterVar={(varPayload: Var) => varPayload.type === VarType.file || varPayload.type === VarType.arrayFile} /> )} - {isFileArray && ( - <VarReferencePicker + {isAppSelector && ( + <AppSelector + disabled={readOnly} + scope={scope || 'all'} + value={varInput as any} + onSelect={handleAppChange(variable)} + /> + )} + {isModelSelector && ( + <ModelParameterModal + popupClassName='!w-[387px]' + isAdvancedMode + isInWorkflow + value={varInput as any} + setModel={handleModelChange(variable)} readonly={readOnly} - isShowNodeName - nodeId={nodeId} - value={varInput?.value || []} - onChange={handleFileChange(variable)} - onOpen={handleOpen(index)} - defaultVarKindType={VarKindType.variable} - filterVar={(varPayload: Var) => varPayload.type === VarType.arrayFile} + scope={scope} /> )} {tooltip && <div className='text-text-tertiary body-xs-regular'>{tooltip[language] || tooltip.en_US}</div>} diff --git a/web/app/components/workflow/nodes/tool/node.tsx b/web/app/components/workflow/nodes/tool/node.tsx index 4de03394c354f5..d7ed993aabc5d2 100644 --- a/web/app/components/workflow/nodes/tool/node.tsx +++ b/web/app/components/workflow/nodes/tool/node.tsx @@ -2,6 +2,7 @@ import type { FC } from 'react' import React from 'react' import type { ToolNodeType } from './types' import type { NodeProps } from '@/app/components/workflow/types' +import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' const Node: FC<NodeProps<ToolNodeType>> = ({ data, @@ -20,9 +21,21 @@ const Node: FC<NodeProps<ToolNodeType>> = ({ <div title={key} className='max-w-[100px] shrink-0 truncate text-xs font-medium text-gray-500 uppercase'> {key} </div> - <div title={tool_configurations[key]} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'> - {tool_configurations[key]} - </div> + {typeof tool_configurations[key] === 'string' && ( + <div title={tool_configurations[key]} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'> + {tool_configurations[key]} + </div> + )} + {typeof tool_configurations[key] !== 'string' && tool_configurations[key]?.type === FormTypeEnum.modelSelector && ( + <div title={tool_configurations[key].model} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'> + {tool_configurations[key].model} + </div> + )} + {/* {typeof tool_configurations[key] !== 'string' && tool_configurations[key]?.type === FormTypeEnum.appSelector && ( + <div title={tool_configurations[key].app_id} className='grow w-0 shrink-0 truncate text-right text-xs font-normal text-gray-700'> + {tool_configurations[key].app_id} + </div> + )} */} </div> ))} diff --git a/web/app/components/workflow/nodes/tool/panel.tsx b/web/app/components/workflow/nodes/tool/panel.tsx index d0d4c3a83946a4..93e2e9130f12ef 100644 --- a/web/app/components/workflow/nodes/tool/panel.tsx +++ b/web/app/components/workflow/nodes/tool/panel.tsx @@ -1,5 +1,5 @@ import type { FC } from 'react' -import React from 'react' +import React, { useMemo } from 'react' import { useTranslation } from 'react-i18next' import Split from '../_base/components/split' import type { ToolNodeType } from './types' @@ -14,8 +14,9 @@ import Loading from '@/app/components/base/loading' import BeforeRunForm from '@/app/components/workflow/nodes/_base/components/before-run-form' import OutputVars, { VarItem } from '@/app/components/workflow/nodes/_base/components/output-vars' import ResultPanel from '@/app/components/workflow/run/result-panel' -import { useRetryDetailShowInSingleRun } from '@/app/components/workflow/nodes/_base/components/retry/hooks' import { useToolIcon } from '@/app/components/workflow/hooks' +import { useLogs } from '@/app/components/workflow/run/hooks' +import formatToTracingNodeList from '@/app/components/workflow/run/utils/format-log' const i18nPrefix = 'workflow.nodes.tool' @@ -49,12 +50,15 @@ const Panel: FC<NodePanelProps<ToolNodeType>> = ({ handleRun, handleStop, runResult, + outputSchema, } = useConfig(id, data) const toolIcon = useToolIcon(data) - const { - retryDetails, - handleRetryDetailsChange, - } = useRetryDetailShowInSingleRun() + const logsParams = useLogs() + const nodeInfo = useMemo(() => { + if (!runResult) + return null + return formatToTracingNodeList([runResult], t)[0] + }, [runResult, t]) if (isLoading) { return <div className='flex h-[200px] items-center justify-center'> @@ -143,6 +147,14 @@ const Panel: FC<NodePanelProps<ToolNodeType>> = ({ type='Array[Object]' description={t(`${i18nPrefix}.outputVars.json`)} /> + {outputSchema.map(outputItem => ( + <VarItem + key={outputItem.name} + name={outputItem.name} + type={outputItem.type} + description={outputItem.description} + /> + ))} </> </OutputVars> </div> @@ -157,9 +169,8 @@ const Panel: FC<NodePanelProps<ToolNodeType>> = ({ runningStatus={runningStatus} onRun={handleRun} onStop={handleStop} - retryDetails={retryDetails} - onRetryDetailBack={handleRetryDetailsChange} - result={<ResultPanel {...runResult} showSteps={false} onShowRetryDetail={handleRetryDetailsChange} />} + {...logsParams} + result={<ResultPanel {...runResult} showSteps={false} {...logsParams} nodeInfo={nodeInfo} />} /> )} </div> diff --git a/web/app/components/workflow/nodes/tool/types.ts b/web/app/components/workflow/nodes/tool/types.ts index 1ed6f9c3736788..4fbd945710595e 100644 --- a/web/app/components/workflow/nodes/tool/types.ts +++ b/web/app/components/workflow/nodes/tool/types.ts @@ -9,7 +9,7 @@ export enum VarType { export type ToolVarInputs = Record<string, { type: VarType - value?: string | ValueSelector + value?: string | ValueSelector | any }> export type ToolNodeType = CommonNodeType & { @@ -20,4 +20,5 @@ export type ToolNodeType = CommonNodeType & { tool_label: string tool_parameters: ToolVarInputs tool_configurations: Record<string, any> + output_schema: Record<string, any> } diff --git a/web/app/components/workflow/nodes/tool/use-config.ts b/web/app/components/workflow/nodes/tool/use-config.ts index 94046ba4fa3469..acc20ec7ea44bf 100644 --- a/web/app/components/workflow/nodes/tool/use-config.ts +++ b/web/app/components/workflow/nodes/tool/use-config.ts @@ -29,8 +29,9 @@ const useConfig = (id: string, payload: ToolNodeType) => { /* * tool_configurations: tool setting, not dynamic setting * tool_parameters: tool dynamic setting(by user) + * output_schema: tool dynamic output */ - const { provider_id, provider_type, tool_name, tool_configurations } = inputs + const { provider_id, provider_type, tool_name, tool_configurations, output_schema } = inputs const isBuiltIn = provider_type === CollectionType.builtIn const buildInTools = useStore(s => s.buildInTools) const customTools = useStore(s => s.customTools) @@ -91,7 +92,7 @@ const useConfig = (id: string, payload: ToolNodeType) => { const value = newConfig[key] if (schema?.type === 'boolean') { if (typeof value === 'string') - newConfig[key] = parseInt(value, 10) + newConfig[key] = Number.parseInt(value, 10) if (typeof value === 'boolean') newConfig[key] = value ? 1 : 0 @@ -99,7 +100,7 @@ const useConfig = (id: string, payload: ToolNodeType) => { if (schema?.type === 'number-input') { if (typeof value === 'string' && value !== '') - newConfig[key] = parseFloat(value) + newConfig[key] = Number.parseFloat(value) } }) draft.tool_configurations = newConfig @@ -162,7 +163,7 @@ const useConfig = (id: string, payload: ToolNodeType) => { const [inputVarValues, doSetInputVarValues] = useState<Record<string, any>>({}) const setInputVarValues = (value: Record<string, any>) => { doSetInputVarValues(value) - // eslint-disable-next-line @typescript-eslint/no-use-before-define + // eslint-disable-next-line ts/no-use-before-define setRunInputData(value) } // fill single run form variable with constant value first time @@ -254,6 +255,23 @@ const useConfig = (id: string, payload: ToolNodeType) => { doHandleRun(addMissedVarData) } + const outputSchema = useMemo(() => { + const res: any[] = [] + if (!output_schema) + return [] + Object.keys(output_schema.properties).forEach((outputKey) => { + const output = output_schema.properties[outputKey] + res.push({ + name: outputKey, + type: output.type === 'array' + ? `Array[${output.items?.type.slice(0, 1).toLocaleUpperCase()}${output.items?.type.slice(1)}]` + : `${output.type.slice(0, 1).toLocaleUpperCase()}${output.type.slice(1)}`, + description: output.description, + }) + }) + return res + }, [output_schema]) + return { readOnly, inputs, @@ -282,6 +300,7 @@ const useConfig = (id: string, payload: ToolNodeType) => { handleRun, handleStop, runResult, + outputSchema, } } diff --git a/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx b/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx index eb5a8f8e51c188..e18327a4724696 100644 --- a/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx +++ b/web/app/components/workflow/nodes/variable-assigner/components/var-group-item.tsx @@ -24,7 +24,7 @@ type Payload = VarGroupItemType & { group_name?: string } -type Props = { +interface Props { readOnly: boolean nodeId: string payload: Payload diff --git a/web/app/components/workflow/nodes/variable-assigner/panel.tsx b/web/app/components/workflow/nodes/variable-assigner/panel.tsx index 6152e0f5b822c5..b25e2656edeee8 100644 --- a/web/app/components/workflow/nodes/variable-assigner/panel.tsx +++ b/web/app/components/workflow/nodes/variable-assigner/panel.tsx @@ -7,7 +7,7 @@ import useConfig from './use-config' import type { VariableAssignerNodeType } from './types' import VarGroupItem from './components/var-group-item' import cn from '@/utils/classnames' -import { type NodePanelProps } from '@/app/components/workflow/types' +import type { NodePanelProps } from '@/app/components/workflow/types' import Split from '@/app/components/workflow/nodes/_base/components/split' import OutputVars, { VarItem } from '@/app/components/workflow/nodes/_base/components/output-vars' import Switch from '@/app/components/base/switch' diff --git a/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx b/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx index 8206f02049bf65..b2bfd2a2184b84 100644 --- a/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx +++ b/web/app/components/workflow/panel/chat-variable-panel/components/array-value-list.tsx @@ -8,7 +8,7 @@ import RemoveButton from '@/app/components/workflow/nodes/_base/components/remov import Button from '@/app/components/base/button' import Input from '@/app/components/base/input' -type Props = { +interface Props { isString: boolean list: any[] onChange: (list: any[]) => void diff --git a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx index baa42eef24f59b..3c983cd3641d79 100644 --- a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx +++ b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx @@ -18,13 +18,13 @@ import { ChatVarType } from '@/app/components/workflow/panel/chat-variable-panel import cn from '@/utils/classnames' import { checkKeys } from '@/utils/var' -export type ModalPropsType = { +export interface ModalPropsType { chatVar?: ConversationVariable onClose: () => void onSave: (chatVar: ConversationVariable) => void } -type ObjectValueItem = { +interface ObjectValueItem { key: string type: ChatVarType value: string | number | undefined diff --git a/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx b/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx index 5991414baf0f47..e60c8afac95bf1 100644 --- a/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx +++ b/web/app/components/workflow/panel/debug-and-preview/conversation-variable-modal.tsx @@ -22,7 +22,7 @@ import useTimestamp from '@/hooks/use-timestamp' import { fetchCurrentValueOfConversationVariable } from '@/service/workflow' import cn from '@/utils/classnames' -export type Props = { +export interface Props { conversationID: string onHide: () => void } diff --git a/web/app/components/workflow/panel/debug-and-preview/hooks.ts b/web/app/components/workflow/panel/debug-and-preview/hooks.ts index a730d0a19853d7..9079f9e5340a10 100644 --- a/web/app/components/workflow/panel/debug-and-preview/hooks.ts +++ b/web/app/components/workflow/panel/debug-and-preview/hooks.ts @@ -30,7 +30,6 @@ import { } from '@/app/components/base/file-uploader/utils' import type { FileEntity } from '@/app/components/base/file-uploader/types' import { getThreadMessages } from '@/app/components/base/chat/utils' -import type { NodeTracing } from '@/types/workflow' type GetAbortController = (abortController: AbortController) => void type SendCallback = { @@ -308,6 +307,7 @@ export const useChat = ( ) setSuggestQuestions(data) } + // eslint-disable-next-line unused-imports/no-unused-vars catch (error) { setSuggestQuestions([]) } @@ -358,21 +358,7 @@ export const useChat = ( responseItem.workflowProcess!.tracing!.push({ ...data, status: NodeRunningStatus.Running, - details: [], - } as any) - updateCurrentQAOnTree({ - placeholderQuestionId, - questionItem, - responseItem, - parentId: params.parent_message_id, }) - }, - onIterationNext: ({ data }) => { - const tracing = responseItem.workflowProcess!.tracing! - const iterations = tracing.find(item => item.node_id === data.node_id - && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id))! - iterations.details!.push([]) - updateCurrentQAOnTree({ placeholderQuestionId, questionItem, @@ -381,20 +367,19 @@ export const useChat = ( }) }, onIterationFinish: ({ data }) => { - const tracing = responseItem.workflowProcess!.tracing! - const iterationsIndex = tracing.findIndex(item => item.node_id === data.node_id - && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id))! - tracing[iterationsIndex] = { - ...tracing[iterationsIndex], - ...data, - status: NodeRunningStatus.Succeeded, - } as any - updateCurrentQAOnTree({ - placeholderQuestionId, - questionItem, - responseItem, - parentId: params.parent_message_id, - }) + const currentTracingIndex = responseItem.workflowProcess!.tracing!.findIndex(item => item.id === data.id) + if (currentTracingIndex > -1) { + responseItem.workflowProcess!.tracing[currentTracingIndex] = { + ...responseItem.workflowProcess!.tracing[currentTracingIndex], + ...data, + } + updateCurrentQAOnTree({ + placeholderQuestionId, + questionItem, + responseItem, + parentId: params.parent_message_id, + }) + } }, onNodeStarted: ({ data }) => { if (data.iteration_id) @@ -415,15 +400,7 @@ export const useChat = ( if (data.iteration_id) return - const currentIndex = responseItem.workflowProcess!.tracing!.findIndex((item) => { - if (!item.execution_metadata?.parallel_id) - return item.node_id === data.node_id - return item.node_id === data.node_id && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id) - }) - if (responseItem.workflowProcess!.tracing[currentIndex].retryDetail) - responseItem.workflowProcess!.tracing[currentIndex].retryDetail?.push(data as NodeTracing) - else - responseItem.workflowProcess!.tracing[currentIndex].retryDetail = [data as NodeTracing] + responseItem.workflowProcess!.tracing!.push(data) updateCurrentQAOnTree({ placeholderQuestionId, @@ -436,26 +413,59 @@ export const useChat = ( if (data.iteration_id) return - const currentIndex = responseItem.workflowProcess!.tracing!.findIndex((item) => { - if (!item.execution_metadata?.parallel_id) - return item.node_id === data.node_id - return item.node_id === data.node_id && (item.execution_metadata?.parallel_id === data.execution_metadata?.parallel_id || item.parallel_id === data.execution_metadata?.parallel_id) - }) - responseItem.workflowProcess!.tracing[currentIndex] = { - ...(responseItem.workflowProcess!.tracing[currentIndex]?.extras - ? { extras: responseItem.workflowProcess!.tracing[currentIndex].extras } - : {}), - ...(responseItem.workflowProcess!.tracing[currentIndex]?.retryDetail - ? { retryDetail: responseItem.workflowProcess!.tracing[currentIndex].retryDetail } - : {}), - ...data, - } as any - updateCurrentQAOnTree({ - placeholderQuestionId, - questionItem, - responseItem, - parentId: params.parent_message_id, - }) + const currentTracingIndex = responseItem.workflowProcess!.tracing!.findIndex(item => item.id === data.id) + if (currentTracingIndex > -1) { + responseItem.workflowProcess!.tracing[currentTracingIndex] = { + ...responseItem.workflowProcess!.tracing[currentTracingIndex], + ...data, + } + updateCurrentQAOnTree({ + placeholderQuestionId, + questionItem, + responseItem, + parentId: params.parent_message_id, + }) + } + }, + onAgentLog: ({ data }) => { + const currentNodeIndex = responseItem.workflowProcess!.tracing!.findIndex(item => item.node_id === data.node_id) + if (currentNodeIndex > -1) { + const current = responseItem.workflowProcess!.tracing![currentNodeIndex] + + if (current.execution_metadata) { + if (current.execution_metadata.agent_log) { + const currentLogIndex = current.execution_metadata.agent_log.findIndex(log => log.id === data.id) + if (currentLogIndex > -1) { + current.execution_metadata.agent_log[currentLogIndex] = { + ...current.execution_metadata.agent_log[currentLogIndex], + ...data, + } + } + else { + current.execution_metadata.agent_log.push(data) + } + } + else { + current.execution_metadata.agent_log = [data] + } + } + else { + current.execution_metadata = { + agent_log: [data], + } as any + } + + responseItem.workflowProcess!.tracing[currentNodeIndex] = { + ...current, + } + + updateCurrentQAOnTree({ + placeholderQuestionId, + questionItem, + responseItem, + parentId: params.parent_message_id, + }) + } }, }, ) diff --git a/web/app/components/workflow/panel/env-panel/variable-modal.tsx b/web/app/components/workflow/panel/env-panel/variable-modal.tsx index feabd5a422c6f9..da59670a5b8bf6 100644 --- a/web/app/components/workflow/panel/env-panel/variable-modal.tsx +++ b/web/app/components/workflow/panel/env-panel/variable-modal.tsx @@ -12,7 +12,7 @@ import type { EnvironmentVariable } from '@/app/components/workflow/types' import cn from '@/utils/classnames' import { checkKeys } from '@/utils/var' -export type ModalPropsType = { +export interface ModalPropsType { env?: EnvironmentVariable onClose: () => void onSave: (env: EnvironmentVariable) => void diff --git a/web/app/components/workflow/panel/inputs-panel.tsx b/web/app/components/workflow/panel/inputs-panel.tsx index 47fec40e60f89e..d7d7f7c5cc6727 100644 --- a/web/app/components/workflow/panel/inputs-panel.tsx +++ b/web/app/components/workflow/panel/inputs-panel.tsx @@ -25,7 +25,7 @@ import { } from '@/app/components/base/chat/chat/utils' import { useCheckInputsForms } from '@/app/components/base/chat/chat/check-input-forms-hooks' -type Props = { +interface Props { onRun: () => void } diff --git a/web/app/components/workflow/panel/workflow-preview.tsx b/web/app/components/workflow/panel/workflow-preview.tsx index 210a95f1f80ee6..b4e4d4c5d139d2 100644 --- a/web/app/components/workflow/panel/workflow-preview.tsx +++ b/web/app/components/workflow/panel/workflow-preview.tsx @@ -1,8 +1,6 @@ import { memo, - useCallback, useEffect, - // useRef, useState, } from 'react' import { @@ -11,7 +9,6 @@ import { } from '@remixicon/react' import { useTranslation } from 'react-i18next' import copy from 'copy-to-clipboard' -import { useBoolean } from 'ahooks' import ResultText from '../run/result-text' import ResultPanel from '../run/result-panel' import TracingPanel from '../run/tracing-panel' @@ -24,12 +21,9 @@ import { } from '../types' import { SimpleBtn } from '../../app/text-generate/item' import Toast from '../../base/toast' -import IterationResultPanel from '../run/iteration-result-panel' -import RetryResultPanel from '../run/retry-result-panel' import InputsPanel from './inputs-panel' import cn from '@/utils/classnames' import Loading from '@/app/components/base/loading' -import type { IterationDurationMap, NodeTracing } from '@/types/workflow' const WorkflowPreview = () => { const { t } = useTranslation() @@ -53,44 +47,6 @@ const WorkflowPreview = () => { switchTab('DETAIL') }, [workflowRunningData]) - const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[][]>([]) - const [retryRunResult, setRetryRunResult] = useState<NodeTracing[]>([]) - const [iterDurationMap, setIterDurationMap] = useState<IterationDurationMap>({}) - const [isShowIterationDetail, { - setTrue: doShowIterationDetail, - setFalse: doHideIterationDetail, - }] = useBoolean(false) - const [isShowRetryDetail, { - setTrue: doShowRetryDetail, - setFalse: doHideRetryDetail, - }] = useBoolean(false) - - const handleShowIterationDetail = useCallback((detail: NodeTracing[][], iterationDurationMap: IterationDurationMap) => { - setIterDurationMap(iterationDurationMap) - setIterationRunResult(detail) - doShowIterationDetail() - }, [doShowIterationDetail]) - - const handleRetryDetail = useCallback((detail: NodeTracing[]) => { - setRetryRunResult(detail) - doShowRetryDetail() - }, [doShowRetryDetail]) - - if (isShowIterationDetail) { - return ( - <div className={` - flex flex-col w-[420px] h-full rounded-l-2xl border-[0.5px] border-gray-200 shadow-xl bg-white - `}> - <IterationResultPanel - list={iterationRunResult} - onHide={doHideIterationDetail} - onBack={doHideIterationDetail} - iterDurationMap={iterDurationMap} - /> - </div> - ) - } - return ( <div className={` flex flex-col w-[420px] h-full rounded-l-2xl border-[0.5px] border-gray-200 shadow-xl bg-white @@ -102,141 +58,117 @@ const WorkflowPreview = () => { </div> </div> <div className='grow relative flex flex-col'> - {isShowIterationDetail - ? ( - <IterationResultPanel - list={iterationRunResult} - onHide={doHideIterationDetail} - onBack={doHideIterationDetail} - iterDurationMap={iterDurationMap} - /> - ) - : ( + <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-[rgba(0,0,0,0.05)]'> + {showInputsPanel && ( + <div + className={cn( + 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', + currentTab === 'INPUT' && '!border-[rgb(21,94,239)] text-gray-700', + )} + onClick={() => switchTab('INPUT')} + >{t('runLog.input')}</div> + )} + <div + className={cn( + 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', + currentTab === 'RESULT' && '!border-[rgb(21,94,239)] text-gray-700', + !workflowRunningData && 'opacity-30 !cursor-not-allowed', + )} + onClick={() => { + if (!workflowRunningData) + return + switchTab('RESULT') + }} + >{t('runLog.result')}</div> + <div + className={cn( + 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', + currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-gray-700', + !workflowRunningData && 'opacity-30 !cursor-not-allowed', + )} + onClick={() => { + if (!workflowRunningData) + return + switchTab('DETAIL') + }} + >{t('runLog.detail')}</div> + <div + className={cn( + 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', + currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-gray-700', + !workflowRunningData && 'opacity-30 !cursor-not-allowed', + )} + onClick={() => { + if (!workflowRunningData) + return + switchTab('TRACING') + }} + >{t('runLog.tracing')}</div> + </div> + <div className={cn( + 'grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl', + (currentTab === 'RESULT' || currentTab === 'TRACING') && '!bg-background-section-burn', + )}> + {currentTab === 'INPUT' && showInputsPanel && ( + <InputsPanel onRun={() => switchTab('RESULT')} /> + )} + {currentTab === 'RESULT' && ( <> - <div className='shrink-0 flex items-center px-4 border-b-[0.5px] border-[rgba(0,0,0,0.05)]'> - {showInputsPanel && ( - <div - className={cn( - 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', - currentTab === 'INPUT' && '!border-[rgb(21,94,239)] text-gray-700', - )} - onClick={() => switchTab('INPUT')} - >{t('runLog.input')}</div> - )} - <div - className={cn( - 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', - currentTab === 'RESULT' && '!border-[rgb(21,94,239)] text-gray-700', - !workflowRunningData && 'opacity-30 !cursor-not-allowed', - )} - onClick={() => { - if (!workflowRunningData) - return - switchTab('RESULT') - }} - >{t('runLog.result')}</div> - <div - className={cn( - 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', - currentTab === 'DETAIL' && '!border-[rgb(21,94,239)] text-gray-700', - !workflowRunningData && 'opacity-30 !cursor-not-allowed', - )} - onClick={() => { - if (!workflowRunningData) - return - switchTab('DETAIL') - }} - >{t('runLog.detail')}</div> - <div - className={cn( - 'mr-6 py-3 border-b-2 border-transparent text-[13px] font-semibold leading-[18px] text-gray-400 cursor-pointer', - currentTab === 'TRACING' && '!border-[rgb(21,94,239)] text-gray-700', - !workflowRunningData && 'opacity-30 !cursor-not-allowed', - )} + <ResultText + isRunning={workflowRunningData?.result?.status === WorkflowRunningStatus.Running || !workflowRunningData?.result} + outputs={workflowRunningData?.resultText} + allFiles={workflowRunningData?.result?.files as any} + error={workflowRunningData?.result?.error} + onClick={() => switchTab('DETAIL')} + /> + {(workflowRunningData?.result.status === WorkflowRunningStatus.Succeeded && workflowRunningData?.resultText && typeof workflowRunningData?.resultText === 'string') && ( + <SimpleBtn + className={cn('ml-4 mb-4 inline-flex space-x-1')} onClick={() => { - if (!workflowRunningData) - return - switchTab('TRACING') - }} - >{t('runLog.tracing')}</div> - </div> - <div className={cn( - 'grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl', - (currentTab === 'RESULT' || currentTab === 'TRACING') && '!bg-background-section-burn', - )}> - {currentTab === 'INPUT' && showInputsPanel && ( - <InputsPanel onRun={() => switchTab('RESULT')} /> - )} - {currentTab === 'RESULT' && ( - <> - <ResultText - isRunning={workflowRunningData?.result?.status === WorkflowRunningStatus.Running || !workflowRunningData?.result} - outputs={workflowRunningData?.resultText} - allFiles={workflowRunningData?.result?.files as any} - error={workflowRunningData?.result?.error} - onClick={() => switchTab('DETAIL')} - /> - {(workflowRunningData?.result.status === WorkflowRunningStatus.Succeeded && workflowRunningData?.resultText && typeof workflowRunningData?.resultText === 'string') && ( - <SimpleBtn - className={cn('ml-4 mb-4 inline-flex space-x-1')} - onClick={() => { - const content = workflowRunningData?.resultText - if (typeof content === 'string') - copy(content) - else - copy(JSON.stringify(content)) - Toast.notify({ type: 'success', message: t('common.actionMsg.copySuccessfully') }) - }}> - <RiClipboardLine className='w-3.5 h-3.5' /> - <div>{t('common.operation.copy')}</div> - </SimpleBtn> - )} - </> - )} - {currentTab === 'DETAIL' && ( - <ResultPanel - inputs={workflowRunningData?.result?.inputs} - outputs={workflowRunningData?.result?.outputs} - status={workflowRunningData?.result?.status || ''} - error={workflowRunningData?.result?.error} - elapsed_time={workflowRunningData?.result?.elapsed_time} - total_tokens={workflowRunningData?.result?.total_tokens} - created_at={workflowRunningData?.result?.created_at} - created_by={(workflowRunningData?.result?.created_by as any)?.name} - steps={workflowRunningData?.result?.total_steps} - exceptionCounts={workflowRunningData?.result?.exceptions_count} - /> - )} - {currentTab === 'DETAIL' && !workflowRunningData?.result && ( - <div className='flex h-full items-center justify-center bg-components-panel-bg'> - <Loading /> - </div> - )} - {currentTab === 'TRACING' && !isShowRetryDetail && ( - <TracingPanel - className='bg-background-section-burn' - list={workflowRunningData?.tracing || []} - onShowIterationDetail={handleShowIterationDetail} - onShowRetryDetail={handleRetryDetail} - /> - )} - {currentTab === 'TRACING' && !workflowRunningData?.tracing?.length && ( - <div className='flex h-full items-center justify-center !bg-background-section-burn'> - <Loading /> - </div> - )} - { - currentTab === 'TRACING' && isShowRetryDetail && ( - <RetryResultPanel - list={retryRunResult} - onBack={doHideRetryDetail} - /> - ) - } - </div> + const content = workflowRunningData?.resultText + if (typeof content === 'string') + copy(content) + else + copy(JSON.stringify(content)) + Toast.notify({ type: 'success', message: t('common.actionMsg.copySuccessfully') }) + }}> + <RiClipboardLine className='w-3.5 h-3.5' /> + <div>{t('common.operation.copy')}</div> + </SimpleBtn> + )} </> )} - + {currentTab === 'DETAIL' && ( + <ResultPanel + inputs={workflowRunningData?.result?.inputs} + outputs={workflowRunningData?.result?.outputs} + status={workflowRunningData?.result?.status || ''} + error={workflowRunningData?.result?.error} + elapsed_time={workflowRunningData?.result?.elapsed_time} + total_tokens={workflowRunningData?.result?.total_tokens} + created_at={workflowRunningData?.result?.created_at} + created_by={(workflowRunningData?.result?.created_by as any)?.name} + steps={workflowRunningData?.result?.total_steps} + exceptionCounts={workflowRunningData?.result?.exceptions_count} + /> + )} + {currentTab === 'DETAIL' && !workflowRunningData?.result && ( + <div className='flex h-full items-center justify-center bg-components-panel-bg'> + <Loading /> + </div> + )} + {currentTab === 'TRACING' && ( + <TracingPanel + className='bg-background-section-burn' + list={workflowRunningData?.tracing || []} + /> + )} + {currentTab === 'TRACING' && !workflowRunningData?.tracing?.length && ( + <div className='flex h-full items-center justify-center !bg-background-section-burn'> + <Loading /> + </div> + )} + </div> </div> </div> ) diff --git a/web/app/components/workflow/plugin-dependency/hooks.ts b/web/app/components/workflow/plugin-dependency/hooks.ts new file mode 100644 index 00000000000000..1aa52cf0280aa3 --- /dev/null +++ b/web/app/components/workflow/plugin-dependency/hooks.ts @@ -0,0 +1,17 @@ +import { useCallback } from 'react' +import { useStore as usePluginDependenciesStore } from './store' +import { useMutationCheckDependencies } from '@/service/use-plugins' + +export const usePluginDependencies = () => { + const { mutateAsync } = useMutationCheckDependencies() + + const handleCheckPluginDependencies = useCallback(async (appId: string) => { + const { leaked_dependencies } = await mutateAsync(appId) + const { setDependencies } = usePluginDependenciesStore.getState() + setDependencies(leaked_dependencies) + }, [mutateAsync]) + + return { + handleCheckPluginDependencies, + } +} diff --git a/web/app/components/workflow/plugin-dependency/index.tsx b/web/app/components/workflow/plugin-dependency/index.tsx new file mode 100644 index 00000000000000..185722e1b7a6ea --- /dev/null +++ b/web/app/components/workflow/plugin-dependency/index.tsx @@ -0,0 +1,24 @@ +import { useCallback } from 'react' +import { useStore } from './store' +import InstallBundle from '@/app/components/plugins/install-plugin/install-bundle' + +const PluginDependency = () => { + const dependencies = useStore(s => s.dependencies) + + const handleCancelInstallBundle = useCallback(() => { + const { setDependencies } = useStore.getState() + setDependencies([]) + }, []) + + if (!dependencies.length) + return null + + return ( + <InstallBundle + fromDSLPayload={dependencies} + onClose={handleCancelInstallBundle} + /> + ) +} + +export default PluginDependency diff --git a/web/app/components/workflow/plugin-dependency/store.ts b/web/app/components/workflow/plugin-dependency/store.ts new file mode 100644 index 00000000000000..a8e1d8171a90ae --- /dev/null +++ b/web/app/components/workflow/plugin-dependency/store.ts @@ -0,0 +1,11 @@ +import { create } from 'zustand' +import type { Dependency } from '@/app/components/plugins/types' + +type Shape = { + dependencies: Dependency[] + setDependencies: (dependencies: Dependency[]) => void +} +export const useStore = create<Shape>(set => ({ + dependencies: [], + setDependencies: dependencies => set({ dependencies }), +})) diff --git a/web/app/components/workflow/run/agent-log/agent-log-item.tsx b/web/app/components/workflow/run/agent-log/agent-log-item.tsx new file mode 100644 index 00000000000000..0b848275000176 --- /dev/null +++ b/web/app/components/workflow/run/agent-log/agent-log-item.tsx @@ -0,0 +1,126 @@ +import { + useMemo, + useState, +} from 'react' +import { + RiArrowRightSLine, + RiListView, +} from '@remixicon/react' +import cn from '@/utils/classnames' +import Button from '@/app/components/base/button' +import type { AgentLogItemWithChildren } from '@/types/workflow' +import NodeStatusIcon from '@/app/components/workflow/nodes/_base/components/node-status-icon' +import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor' +import { CodeLanguage } from '@/app/components/workflow/nodes/code/types' +import BlockIcon from '@/app/components/workflow/block-icon' +import { BlockEnum } from '@/app/components/workflow/types' +import useGetIcon from '@/app/components/plugins/install-plugin/base/use-get-icon' + +type AgentLogItemProps = { + item: AgentLogItemWithChildren + onShowAgentOrToolLog: (detail: AgentLogItemWithChildren) => void +} +const AgentLogItem = ({ + item, + onShowAgentOrToolLog, +}: AgentLogItemProps) => { + const { + label, + status, + children, + data, + metadata, + } = item + const [expanded, setExpanded] = useState(false) + const { getIconUrl } = useGetIcon() + const toolIcon = useMemo(() => { + const icon = metadata?.icon + + if (icon) { + if (icon.includes('http')) + return icon + + return getIconUrl(icon) + } + + return '' + }, [getIconUrl, metadata?.icon]) + + const mergeStatus = useMemo(() => { + if (status === 'start') + return 'running' + + return status + }, [status]) + + return ( + <div className='bg-background-default border-[0.5px] border-components-panel-border rounded-[10px]'> + <div + className={cn( + 'flex items-center pl-1.5 pt-2 pr-3 pb-2 cursor-pointer', + expanded && 'pb-1', + )} + onClick={() => setExpanded(!expanded)} + > + { + expanded + ? <RiArrowRightSLine className='shrink-0 w-4 h-4 rotate-90 text-text-quaternary' /> + : <RiArrowRightSLine className='shrink-0 w-4 h-4 text-text-quaternary' /> + } + <BlockIcon + className='shrink-0 mr-1.5' + type={toolIcon ? BlockEnum.Tool : BlockEnum.Agent} + toolIcon={toolIcon} + /> + <div + className='grow system-sm-semibold-uppercase text-text-secondary truncate' + title={label} + > + {label} + </div> + { + metadata?.elapsed_time && ( + <div className='shrink-0 mr-2 system-xs-regular text-text-tertiary'>{metadata?.elapsed_time?.toFixed(3)}s</div> + ) + } + <NodeStatusIcon status={mergeStatus} /> + </div> + { + expanded && ( + <div className='p-1 pt-0'> + { + !!children?.length && ( + <Button + className='flex items-center justify-between mb-1 w-full' + variant='tertiary' + onClick={() => onShowAgentOrToolLog(item)} + > + <div className='flex items-center'> + <RiListView className='mr-1 w-4 h-4 text-components-button-tertiary-text shrink-0' /> + {`${children.length} Action Logs`} + </div> + <div className='flex'> + <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text shrink-0' /> + </div> + </Button> + ) + } + { + data && ( + <CodeEditor + readOnly + title={<div>{'data'.toLocaleUpperCase()}</div>} + language={CodeLanguage.json} + value={data} + isJSONStringifyBeauty + /> + ) + } + </div> + ) + } + </div> + ) +} + +export default AgentLogItem diff --git a/web/app/components/workflow/run/agent-log/agent-log-nav-more.tsx b/web/app/components/workflow/run/agent-log/agent-log-nav-more.tsx new file mode 100644 index 00000000000000..f965a86f3180ba --- /dev/null +++ b/web/app/components/workflow/run/agent-log/agent-log-nav-more.tsx @@ -0,0 +1,61 @@ +import { useState } from 'react' +import { RiMoreLine } from '@remixicon/react' +import { + PortalToFollowElem, + PortalToFollowElemContent, + PortalToFollowElemTrigger, +} from '@/app/components/base/portal-to-follow-elem' +import Button from '@/app/components/base/button' +import type { AgentLogItemWithChildren } from '@/types/workflow' + +type AgentLogNavMoreProps = { + options: { id: string; label: string }[] + onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void +} +const AgentLogNavMore = ({ + options, + onShowAgentOrToolLog, +}: AgentLogNavMoreProps) => { + const [open, setOpen] = useState(false) + + return ( + <PortalToFollowElem + placement='bottom-start' + offset={{ + mainAxis: 2, + crossAxis: -54, + }} + open={open} + onOpenChange={setOpen} + > + <PortalToFollowElemTrigger> + <Button + className='w-6 h-6' + variant='ghost-accent' + > + <RiMoreLine className='w-4 h-4' /> + </Button> + </PortalToFollowElemTrigger> + <PortalToFollowElemContent> + <div className='p-1 w-[136px] bg-components-panel-bg-blur border-[0.5px] border-components-panel-border rounded-xl shadow-lg'> + { + options.map(option => ( + <div + key={option.id} + className='flex items-center px-2 h-8 rounded-lg system-md-regular text-text-secondary hover:bg-state-base-hover cursor-pointer' + onClick={() => { + onShowAgentOrToolLog(option as AgentLogItemWithChildren) + setOpen(false) + }} + > + {option.label} + </div> + )) + } + </div> + </PortalToFollowElemContent> + </PortalToFollowElem> + ) +} + +export default AgentLogNavMore diff --git a/web/app/components/workflow/run/agent-log/agent-log-nav.tsx b/web/app/components/workflow/run/agent-log/agent-log-nav.tsx new file mode 100644 index 00000000000000..ccfc6da8cf3835 --- /dev/null +++ b/web/app/components/workflow/run/agent-log/agent-log-nav.tsx @@ -0,0 +1,78 @@ +import { RiArrowLeftLine } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import AgentLogNavMore from './agent-log-nav-more' +import Button from '@/app/components/base/button' +import type { AgentLogItemWithChildren } from '@/types/workflow' + +type AgentLogNavProps = { + agentOrToolLogItemStack: AgentLogItemWithChildren[] + onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void +} +const AgentLogNav = ({ + agentOrToolLogItemStack, + onShowAgentOrToolLog, +}: AgentLogNavProps) => { + const { t } = useTranslation() + const agentOrToolLogItemStackLength = agentOrToolLogItemStack.length + const first = agentOrToolLogItemStack[0] + const mid = agentOrToolLogItemStack.slice(1, -1) + const end = agentOrToolLogItemStack.at(-1) + + return ( + <div className='flex items-center p-1 pr-3 h-8 bg-components-panel-bg'> + <Button + className='shrink-0 px-[5px]' + size='small' + variant='ghost-accent' + onClick={() => { + onShowAgentOrToolLog() + }} + > + <RiArrowLeftLine className='mr-1 w-3.5 h-3.5' /> + AGENT + </Button> + <div className='shrink-0 mx-0.5 system-xs-regular text-divider-deep'>/</div> + { + agentOrToolLogItemStackLength > 1 + ? ( + <Button + className='shrink-0 px-[5px]' + size='small' + variant='ghost-accent' + onClick={() => onShowAgentOrToolLog(first)} + > + {t('workflow.nodes.agent.strategy.label')} + </Button> + ) + : ( + <div className='flex items-center px-[5px] system-xs-medium-uppercase text-text-tertiary'> + {t('workflow.nodes.agent.strategy.label')} + </div> + ) + } + { + !!mid.length && ( + <> + <div className='shrink-0 mx-0.5 system-xs-regular text-divider-deep'>/</div> + <AgentLogNavMore + options={mid} + onShowAgentOrToolLog={onShowAgentOrToolLog} + /> + </> + ) + } + { + !!end && agentOrToolLogItemStackLength > 1 && ( + <> + <div className='shrink-0 mx-0.5 system-xs-regular text-divider-deep'>/</div> + <div className='flex items-center px-[5px] system-xs-medium-uppercase text-text-tertiary'> + {end.label} + </div> + </> + ) + } + </div> + ) +} + +export default AgentLogNav diff --git a/web/app/components/workflow/run/agent-log/agent-log-trigger.tsx b/web/app/components/workflow/run/agent-log/agent-log-trigger.tsx new file mode 100644 index 00000000000000..86418a1c69286b --- /dev/null +++ b/web/app/components/workflow/run/agent-log/agent-log-trigger.tsx @@ -0,0 +1,49 @@ +import { RiArrowRightLine } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import type { + AgentLogItemWithChildren, + NodeTracing, +} from '@/types/workflow' + +type AgentLogTriggerProps = { + nodeInfo: NodeTracing + onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void +} +const AgentLogTrigger = ({ + nodeInfo, + onShowAgentOrToolLog, +}: AgentLogTriggerProps) => { + const { t } = useTranslation() + const { agentLog, execution_metadata } = nodeInfo + const agentStrategy = execution_metadata?.tool_info?.agent_strategy + + return ( + <div + className='bg-components-button-tertiary-bg rounded-[10px] cursor-pointer' + onClick={() => { + onShowAgentOrToolLog({ id: nodeInfo.id, children: agentLog || [] } as AgentLogItemWithChildren) + }} + > + <div className='flex items-center px-3 pt-2 system-2xs-medium-uppercase text-text-tertiary'> + {t('workflow.nodes.agent.strategy.label')} + </div> + <div className='flex items-center pl-3 pt-1 pr-2 pb-1.5'> + { + agentStrategy && ( + <div className='grow system-xs-medium text-text-secondary'> + {agentStrategy} + </div> + ) + } + <div + className='shrink-0 flex items-center px-[1px] system-xs-regular-uppercase text-text-tertiary cursor-pointer' + > + {t('runLog.detail')} + <RiArrowRightLine className='ml-0.5 w-3.5 h-3.5' /> + </div> + </div> + </div> + ) +} + +export default AgentLogTrigger diff --git a/web/app/components/workflow/run/agent-log/agent-result-panel.tsx b/web/app/components/workflow/run/agent-log/agent-result-panel.tsx new file mode 100644 index 00000000000000..e2d2b249662fdd --- /dev/null +++ b/web/app/components/workflow/run/agent-log/agent-result-panel.tsx @@ -0,0 +1,60 @@ +import { RiAlertFill } from '@remixicon/react' +import { useTranslation } from 'react-i18next' +import AgentLogItem from './agent-log-item' +import AgentLogNav from './agent-log-nav' +import type { AgentLogItemWithChildren } from '@/types/workflow' + +type AgentResultPanelProps = { + agentOrToolLogItemStack: AgentLogItemWithChildren[] + agentOrToolLogListMap: Record<string, AgentLogItemWithChildren[]> + onShowAgentOrToolLog: (detail?: AgentLogItemWithChildren) => void +} +const AgentResultPanel = ({ + agentOrToolLogItemStack, + agentOrToolLogListMap, + onShowAgentOrToolLog, +}: AgentResultPanelProps) => { + const { t } = useTranslation() + const top = agentOrToolLogItemStack[agentOrToolLogItemStack.length - 1] + const list = agentOrToolLogListMap[top.id] + + return ( + <div className='bg-background-section overflow-y-auto'> + <AgentLogNav + agentOrToolLogItemStack={agentOrToolLogItemStack} + onShowAgentOrToolLog={onShowAgentOrToolLog} + /> + { + <div className='p-2 space-y-1'> + { + list.map(item => ( + <AgentLogItem + key={item.id} + item={item} + onShowAgentOrToolLog={onShowAgentOrToolLog} + /> + )) + } + </div> + } + { + top.hasCircle && ( + <div className='flex items-center mt-1 rounded-xl px-3 pr-2 border border-components-panel-border bg-components-panel-bg-blur shadow-md'> + <div + className='absolute inset-0 opacity-[0.4] rounded-xl' + style={{ + background: 'linear-gradient(92deg, rgba(247, 144, 9, 0.25) 0%, rgba(255, 255, 255, 0.00) 100%)', + }} + ></div> + <RiAlertFill className='mr-1.5 w-4 h-4 text-text-warning-secondary' /> + <div className='system-xs-medium text-text-primary'> + {t('runLog.circularInvocationTip')} + </div> + </div> + ) + } + </div> + ) +} + +export default AgentResultPanel diff --git a/web/app/components/workflow/run/agent-log/index.tsx b/web/app/components/workflow/run/agent-log/index.tsx new file mode 100644 index 00000000000000..a39f5416bb4db7 --- /dev/null +++ b/web/app/components/workflow/run/agent-log/index.tsx @@ -0,0 +1,2 @@ +export { default as AgentLogTrigger } from './agent-log-trigger' +export { default as AgentResultPanel } from './agent-result-panel' diff --git a/web/app/components/workflow/run/assets/highlight-dark.svg b/web/app/components/workflow/run/assets/highlight-dark.svg new file mode 100644 index 00000000000000..472da3db6e4346 --- /dev/null +++ b/web/app/components/workflow/run/assets/highlight-dark.svg @@ -0,0 +1,9 @@ +<svg width="237" height="50" viewBox="0 0 237 50" fill="none" xmlns="http://www.w3.org/2000/svg"> +<path opacity="0.5" d="M0 8C0 3.58172 3.58172 0 8 0H237L215.033 50H8C3.58172 50 0 46.4183 0 42V8Z" fill="url(#paint0_linear_3552_29170)"/> +<defs> +<linearGradient id="paint0_linear_3552_29170" x1="-4.89158e-08" y1="4.62963" x2="168.013" y2="23.1752" gradientUnits="userSpaceOnUse"> +<stop stop-color="white" stop-opacity="0.03"/> +<stop offset="1" stop-color="white" stop-opacity="0.05"/> +</linearGradient> +</defs> +</svg> diff --git a/web/app/components/workflow/run/hooks.ts b/web/app/components/workflow/run/hooks.ts new file mode 100644 index 00000000000000..55ddc4cbfcd161 --- /dev/null +++ b/web/app/components/workflow/run/hooks.ts @@ -0,0 +1,88 @@ +import { + useCallback, + useRef, + useState, +} from 'react' +import { useBoolean } from 'ahooks' +import type { + AgentLogItemWithChildren, + IterationDurationMap, + NodeTracing, +} from '@/types/workflow' + +export const useLogs = () => { + const [showRetryDetail, { + setTrue: setShowRetryDetailTrue, + setFalse: setShowRetryDetailFalse, + }] = useBoolean(false) + const [retryResultList, setRetryResultList] = useState<NodeTracing[]>([]) + const handleShowRetryResultList = useCallback((detail: NodeTracing[]) => { + setShowRetryDetailTrue() + setRetryResultList(detail) + }, [setShowRetryDetailTrue, setRetryResultList]) + + const [showIteratingDetail, { + setTrue: setShowIteratingDetailTrue, + setFalse: setShowIteratingDetailFalse, + }] = useBoolean(false) + const [iterationResultList, setIterationResultList] = useState<NodeTracing[][]>([]) + const [iterationResultDurationMap, setIterationResultDurationMap] = useState<IterationDurationMap>({}) + const handleShowIterationResultList = useCallback((detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => { + setShowIteratingDetailTrue() + setIterationResultList(detail) + setIterationResultDurationMap(iterDurationMap) + }, [setShowIteratingDetailTrue, setIterationResultList, setIterationResultDurationMap]) + + const [agentOrToolLogItemStack, setAgentOrToolLogItemStack] = useState<AgentLogItemWithChildren[]>([]) + const agentOrToolLogItemStackRef = useRef(agentOrToolLogItemStack) + const [agentOrToolLogListMap, setAgentOrToolLogListMap] = useState<Record<string, AgentLogItemWithChildren[]>>({}) + const agentOrToolLogListMapRef = useRef(agentOrToolLogListMap) + const handleShowAgentOrToolLog = useCallback((detail?: AgentLogItemWithChildren) => { + if (!detail) { + setAgentOrToolLogItemStack([]) + agentOrToolLogItemStackRef.current = [] + return + } + const { id, children } = detail + let currentAgentOrToolLogItemStack = agentOrToolLogItemStackRef.current.slice() + const index = currentAgentOrToolLogItemStack.findIndex(logItem => logItem.id === id) + + if (index > -1) + currentAgentOrToolLogItemStack = currentAgentOrToolLogItemStack.slice(0, index + 1) + else + currentAgentOrToolLogItemStack = [...currentAgentOrToolLogItemStack.slice(), detail] + + setAgentOrToolLogItemStack(currentAgentOrToolLogItemStack) + agentOrToolLogItemStackRef.current = currentAgentOrToolLogItemStack + + if (children) { + setAgentOrToolLogListMap({ + ...agentOrToolLogListMapRef.current, + [id]: children, + }) + } + }, [setAgentOrToolLogItemStack, setAgentOrToolLogListMap]) + + return { + showSpecialResultPanel: showRetryDetail || showIteratingDetail || !!agentOrToolLogItemStack.length, + showRetryDetail, + setShowRetryDetailTrue, + setShowRetryDetailFalse, + retryResultList, + setRetryResultList, + handleShowRetryResultList, + + showIteratingDetail, + setShowIteratingDetailTrue, + setShowIteratingDetailFalse, + iterationResultList, + setIterationResultList, + iterationResultDurationMap, + setIterationResultDurationMap, + handleShowIterationResultList, + + agentOrToolLogItemStack, + agentOrToolLogListMap, + handleShowAgentOrToolLog, + } +} diff --git a/web/app/components/workflow/run/index.tsx b/web/app/components/workflow/run/index.tsx index 8b0319cabe2ce9..eaa88d2df89950 100644 --- a/web/app/components/workflow/run/index.tsx +++ b/web/app/components/workflow/run/index.tsx @@ -3,21 +3,16 @@ import type { FC } from 'react' import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react' import { useContext } from 'use-context-selector' import { useTranslation } from 'react-i18next' -import { useBoolean } from 'ahooks' -import { BlockEnum } from '../types' import OutputPanel from './output-panel' import ResultPanel from './result-panel' import TracingPanel from './tracing-panel' -import IterationResultPanel from './iteration-result-panel' -import RetryResultPanel from './retry-result-panel' import cn from '@/utils/classnames' import { ToastContext } from '@/app/components/base/toast' import Loading from '@/app/components/base/loading' import { fetchRunDetail, fetchTracingList } from '@/service/log' -import type { IterationDurationMap, NodeTracing } from '@/types/workflow' +import type { NodeTracing } from '@/types/workflow' import type { WorkflowRunDetailResponse } from '@/models/log' import { useStore as useAppStore } from '@/app/components/app/store' - export type RunProps = { hideResult?: boolean activeTab?: 'RESULT' | 'DETAIL' | 'TRACING' @@ -60,124 +55,12 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe } }, [notify, getResultCallback]) - const formatNodeList = useCallback((list: NodeTracing[]) => { - const allItems = [...list].reverse() - const result: NodeTracing[] = [] - const nodeGroupMap = new Map<string, Map<string, NodeTracing[]>>() - - const processIterationNode = (item: NodeTracing) => { - result.push({ - ...item, - details: [], - }) - } - - const updateParallelModeGroup = (runId: string, item: NodeTracing, iterationNode: NodeTracing) => { - if (!nodeGroupMap.has(iterationNode.node_id)) - nodeGroupMap.set(iterationNode.node_id, new Map()) - - const groupMap = nodeGroupMap.get(iterationNode.node_id)! - - if (!groupMap.has(runId)) { - groupMap.set(runId, [item]) - } - else { - if (item.status === 'retry') { - const retryNode = groupMap.get(runId)!.find(node => node.node_id === item.node_id) - - if (retryNode) { - if (retryNode?.retryDetail) - retryNode.retryDetail.push(item) - else - retryNode.retryDetail = [item] - } - } - else { - groupMap.get(runId)!.push(item) - } - } - - if (item.status === 'failed') { - iterationNode.status = 'failed' - iterationNode.error = item.error - } - - iterationNode.details = Array.from(groupMap.values()) - } - const updateSequentialModeGroup = (index: number, item: NodeTracing, iterationNode: NodeTracing) => { - const { details } = iterationNode - if (details) { - if (!details[index]) { - details[index] = [item] - } - else { - if (item.status === 'retry') { - const retryNode = details[index].find(node => node.node_id === item.node_id) - - if (retryNode) { - if (retryNode?.retryDetail) - retryNode.retryDetail.push(item) - else - retryNode.retryDetail = [item] - } - } - else { - details[index].push(item) - } - } - } - - if (item.status === 'failed') { - iterationNode.status = 'failed' - iterationNode.error = item.error - } - } - const processNonIterationNode = (item: NodeTracing) => { - const { execution_metadata } = item - if (!execution_metadata?.iteration_id) { - if (item.status === 'retry') { - const retryNode = result.find(node => node.node_id === item.node_id) - - if (retryNode) { - if (retryNode?.retryDetail) - retryNode.retryDetail.push(item) - else - retryNode.retryDetail = [item] - } - - return - } - result.push(item) - return - } - - const iterationNode = result.find(node => node.node_id === execution_metadata.iteration_id) - if (!iterationNode || !Array.isArray(iterationNode.details)) - return - - const { parallel_mode_run_id, iteration_index = 0 } = execution_metadata - - if (parallel_mode_run_id) - updateParallelModeGroup(parallel_mode_run_id, item, iterationNode) - else - updateSequentialModeGroup(iteration_index, item, iterationNode) - } - - allItems.forEach((item) => { - item.node_type === BlockEnum.Iteration - ? processIterationNode(item) - : processNonIterationNode(item) - }) - - return result - }, []) - const getTracingList = useCallback(async (appID: string, runID: string) => { try { const { data: nodeList } = await fetchTracingList({ url: `/apps/${appID}/workflow-runs/${runID}/node-executions`, }) - setList(formatNodeList(nodeList)) + setList(nodeList) } catch (err) { notify({ @@ -219,42 +102,6 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe adjustResultHeight() }, [loading]) - const [iterationRunResult, setIterationRunResult] = useState<NodeTracing[][]>([]) - const [iterDurationMap, setIterDurationMap] = useState<IterationDurationMap>({}) - const [retryRunResult, setRetryRunResult] = useState<NodeTracing[]>([]) - const [isShowIterationDetail, { - setTrue: doShowIterationDetail, - setFalse: doHideIterationDetail, - }] = useBoolean(false) - const [isShowRetryDetail, { - setTrue: doShowRetryDetail, - setFalse: doHideRetryDetail, - }] = useBoolean(false) - - const handleShowIterationDetail = useCallback((detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => { - setIterationRunResult(detail) - doShowIterationDetail() - setIterDurationMap(iterDurationMap) - }, [doShowIterationDetail, setIterationRunResult, setIterDurationMap]) - - const handleShowRetryDetail = useCallback((detail: NodeTracing[]) => { - setRetryRunResult(detail) - doShowRetryDetail() - }, [doShowRetryDetail, setRetryRunResult]) - - if (isShowIterationDetail) { - return ( - <div className='grow relative flex flex-col'> - <IterationResultPanel - list={iterationRunResult} - onHide={doHideIterationDetail} - onBack={doHideIterationDetail} - iterDurationMap={iterDurationMap} - /> - </div> - ) - } - return ( <div className='grow relative flex flex-col'> {/* tab */} @@ -284,7 +131,7 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe >{t('runLog.tracing')}</div> </div> {/* panel detail */} - <div ref={ref} className={cn('grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl', currentTab !== 'DETAIL' && '!bg-background-section-burn')}> + <div ref={ref} className={cn('relative grow bg-components-panel-bg h-0 overflow-y-auto rounded-b-2xl')}> {loading && ( <div className='flex h-full items-center justify-center bg-components-panel-bg'> <Loading /> @@ -311,22 +158,12 @@ const RunPanel: FC<RunProps> = ({ hideResult, activeTab = 'RESULT', runID, getRe exceptionCounts={runDetail.exceptions_count} /> )} - {!loading && currentTab === 'TRACING' && !isShowRetryDetail && ( + {!loading && currentTab === 'TRACING' && ( <TracingPanel className='bg-background-section-burn' list={list} - onShowIterationDetail={handleShowIterationDetail} - onShowRetryDetail={handleShowRetryDetail} /> )} - { - !loading && currentTab === 'TRACING' && isShowRetryDetail && ( - <RetryResultPanel - list={retryRunResult} - onBack={doHideRetryDetail} - /> - ) - } </div> </div> ) diff --git a/web/app/components/workflow/run/iteration-log/index.tsx b/web/app/components/workflow/run/iteration-log/index.tsx new file mode 100644 index 00000000000000..5cbe70feced5ad --- /dev/null +++ b/web/app/components/workflow/run/iteration-log/index.tsx @@ -0,0 +1,2 @@ +export { default as IterationLogTrigger } from './iteration-log-trigger' +export { default as IterationResultPanel } from './iteration-result-panel' diff --git a/web/app/components/workflow/run/iteration-log/iteration-log-trigger.tsx b/web/app/components/workflow/run/iteration-log/iteration-log-trigger.tsx new file mode 100644 index 00000000000000..93c64952163fa4 --- /dev/null +++ b/web/app/components/workflow/run/iteration-log/iteration-log-trigger.tsx @@ -0,0 +1,57 @@ +import { useTranslation } from 'react-i18next' +import { RiArrowRightSLine } from '@remixicon/react' +import Button from '@/app/components/base/button' +import type { + IterationDurationMap, + NodeTracing, +} from '@/types/workflow' +import { Iteration } from '@/app/components/base/icons/src/vender/workflow' + +type IterationLogTriggerProps = { + nodeInfo: NodeTracing + onShowIterationResultList: (iterationResultList: NodeTracing[][], iterationResultDurationMap: IterationDurationMap) => void +} +const IterationLogTrigger = ({ + nodeInfo, + onShowIterationResultList, +}: IterationLogTriggerProps) => { + const { t } = useTranslation() + const getErrorCount = (details: NodeTracing[][] | undefined) => { + if (!details || details.length === 0) + return 0 + + return details.reduce((acc, iteration) => { + if (iteration.some(item => item.status === 'failed')) + acc++ + return acc + }, 0) + } + const getCount = (iteration_curr_length: number | undefined, iteration_length: number) => { + if ((iteration_curr_length && iteration_curr_length < iteration_length) || !iteration_length) + return iteration_curr_length + + return iteration_length + } + const handleOnShowIterationDetail = (e: React.MouseEvent<HTMLButtonElement>) => { + e.stopPropagation() + e.nativeEvent.stopImmediatePropagation() + onShowIterationResultList(nodeInfo.details || [], nodeInfo?.iterDurationMap || nodeInfo.execution_metadata?.iteration_duration_map || {}) + } + return ( + <Button + className='flex items-center w-full self-stretch gap-2 px-3 py-2 bg-components-button-tertiary-bg-hover hover:bg-components-button-tertiary-bg-hover rounded-lg cursor-pointer border-none' + onClick={handleOnShowIterationDetail} + > + <Iteration className='w-4 h-4 text-components-button-tertiary-text shrink-0' /> + <div className='flex-1 text-left system-sm-medium text-components-button-tertiary-text'>{t('workflow.nodes.iteration.iteration', { count: getCount(nodeInfo.details?.length, nodeInfo.metadata?.iterator_length) })}{getErrorCount(nodeInfo.details) > 0 && ( + <> + {t('workflow.nodes.iteration.comma')} + {t('workflow.nodes.iteration.error', { count: getErrorCount(nodeInfo.details) })} + </> + )}</div> + <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text shrink-0' /> + </Button> + ) +} + +export default IterationLogTrigger diff --git a/web/app/components/workflow/run/iteration-result-panel.tsx b/web/app/components/workflow/run/iteration-log/iteration-result-panel.tsx similarity index 56% rename from web/app/components/workflow/run/iteration-result-panel.tsx rename to web/app/components/workflow/run/iteration-log/iteration-result-panel.tsx index b809e1e669d42d..19f79feb13b1b8 100644 --- a/web/app/components/workflow/run/iteration-result-panel.tsx +++ b/web/app/components/workflow/run/iteration-log/iteration-result-panel.tsx @@ -3,15 +3,13 @@ import type { FC } from 'react' import React, { useCallback, useState } from 'react' import { useTranslation } from 'react-i18next' import { + RiArrowLeftLine, RiArrowRightSLine, - RiCloseLine, RiErrorWarningLine, RiLoader2Line, } from '@remixicon/react' -import { ArrowNarrowLeft } from '../../base/icons/src/vender/line/arrows' -import { NodeRunningStatus } from '../types' -import TracingPanel from './tracing-panel' -import RetryResultPanel from './retry-result-panel' +import { NodeRunningStatus } from '@/app/components/workflow/types' +import TracingPanel from '@/app/components/workflow/run/tracing-panel' import { Iteration } from '@/app/components/base/icons/src/vender/workflow' import cn from '@/utils/classnames' import type { IterationDurationMap, NodeTracing } from '@/types/workflow' @@ -19,17 +17,13 @@ const i18nPrefix = 'workflow.singleRun' type Props = { list: NodeTracing[][] - onHide: () => void onBack: () => void - noWrap?: boolean iterDurationMap?: IterationDurationMap } const IterationResultPanel: FC<Props> = ({ list, - onHide, onBack, - noWrap, iterDurationMap, }) => { const { t } = useTranslation() @@ -75,29 +69,22 @@ const IterationResultPanel: FC<Props> = ({ </> ) } - const [retryRunResult, setRetryRunResult] = useState<Record<string, NodeTracing[]> | undefined>() - const handleRetryDetail = (v: number, detail?: NodeTracing[]) => { - setRetryRunResult({ ...retryRunResult, [v]: detail }) - } - const main = ( - <> - <div className={cn(!noWrap && 'shrink-0 ', 'px-4 pt-3')}> - <div className='shrink-0 flex justify-between items-center h-8'> - <div className='system-xl-semibold text-text-primary truncate'> - {t(`${i18nPrefix}.testRunIteration`)} - </div> - <div className='ml-2 shrink-0 p-1 cursor-pointer' onClick={onHide}> - <RiCloseLine className='w-4 h-4 text-text-tertiary' /> - </div> - </div> - <div className='flex items-center py-2 space-x-1 text-text-accent-secondary cursor-pointer' onClick={onBack}> - <ArrowNarrowLeft className='w-4 h-4' /> - <div className='system-sm-medium'>{t(`${i18nPrefix}.back`)}</div> - </div> + return ( + <div className='bg-components-panel-bg'> + <div + className='flex items-center px-4 h-8 text-text-accent-secondary cursor-pointer border-b-[0.5px] border-b-divider-regular' + onClick={(e) => { + e.stopPropagation() + e.nativeEvent.stopImmediatePropagation() + onBack() + }} + > + <RiArrowLeftLine className='mr-1 w-4 h-4' /> + <div className='system-sm-medium'>{t(`${i18nPrefix}.back`)}</div> </div> {/* List */} - <div className={cn(!noWrap ? 'flex-grow overflow-auto' : 'max-h-full', 'p-2 bg-components-panel-bg')}> + <div className='p-2 bg-components-panel-bg'> {list.map((iteration, index) => ( <div key={index} className={cn('mb-1 overflow-hidden rounded-xl bg-background-section-burn border-none')}> <div @@ -109,66 +96,31 @@ const IterationResultPanel: FC<Props> = ({ onClick={() => toggleIteration(index)} > <div className={cn('flex items-center gap-2 flex-grow')}> - <div className='flex items-center justify-center w-4 h-4 rounded-[5px] border-divider-subtle bg-util-colors-cyan-cyan-500 flex-shrink-0'> + <div className='flex items-center justify-center w-4 h-4 rounded-[5px] border-divider-subtle bg-util-colors-cyan-cyan-500 shrink-0'> <Iteration className='w-3 h-3 text-text-primary-on-surface' /> </div> - <span className='system-sm-semibold-uppercase text-text-primary flex-grow'> + <span className='system-sm-semibold-uppercase text-text-primary grow'> {t(`${i18nPrefix}.iteration`)} {index + 1} </span> {iterationStatusShow(index, iteration, iterDurationMap)} </div> </div> {expandedIterations[index] && <div - className="flex-grow h-px bg-divider-subtle" + className="grow h-px bg-divider-subtle" ></div>} - { - !retryRunResult?.[index] && ( - <div className={cn( - 'overflow-hidden transition-all duration-200', - expandedIterations[index] ? 'max-h-[1000px] opacity-100' : 'max-h-0 opacity-0', - )}> - <TracingPanel - list={iteration} - className='bg-background-section-burn' - onShowRetryDetail={v => handleRetryDetail(index, v)} - /> - </div> - ) - } - { - retryRunResult?.[index] && ( - <RetryResultPanel - list={retryRunResult[index]} - onBack={() => handleRetryDetail(index, undefined)} - /> - ) - } + <div className={cn( + 'overflow-hidden transition-all duration-200', + expandedIterations[index] ? 'max-h-[1000px] opacity-100' : 'max-h-0 opacity-0', + )}> + <TracingPanel + list={iteration} + className='bg-background-section-burn' + /> + </div> </div> ))} </div> - </> - ) - const handleNotBubble = useCallback((e: React.MouseEvent) => { - // if not do this, it will trigger the message log modal disappear(useClickAway) - e.stopPropagation() - e.nativeEvent.stopImmediatePropagation() - }, []) - - if (noWrap) - return main - - return ( - <div - className='absolute inset-0 z-10 rounded-2xl pt-10' - style={{ - backgroundColor: 'rgba(16, 24, 40, 0.20)', - }} - onClick={handleNotBubble} - > - <div className='h-full rounded-2xl bg-components-panel-bg flex flex-col'> - {main} - </div> - </div > + </div> ) } export default React.memo(IterationResultPanel) diff --git a/web/app/components/workflow/run/node.tsx b/web/app/components/workflow/run/node.tsx index d2da319a026405..33ed05e891c050 100644 --- a/web/app/components/workflow/run/node.tsx +++ b/web/app/components/workflow/run/node.tsx @@ -8,18 +8,21 @@ import { RiCheckboxCircleFill, RiErrorWarningLine, RiLoader2Line, - RiRestartFill, } from '@remixicon/react' import BlockIcon from '../block-icon' import { BlockEnum } from '../types' -import Split from '../nodes/_base/components/split' -import { Iteration } from '@/app/components/base/icons/src/vender/workflow' +import { RetryLogTrigger } from './retry-log' +import { IterationLogTrigger } from './iteration-log' +import { AgentLogTrigger } from './agent-log' import cn from '@/utils/classnames' import StatusContainer from '@/app/components/workflow/run/status-container' import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor' -import Button from '@/app/components/base/button' import { CodeLanguage } from '@/app/components/workflow/nodes/code/types' -import type { IterationDurationMap, NodeTracing } from '@/types/workflow' +import type { + AgentLogItemWithChildren, + IterationDurationMap, + NodeTracing, +} from '@/types/workflow' import ErrorHandleTip from '@/app/components/workflow/nodes/_base/components/error-handle/error-handle-tip' import { hasRetryNode } from '@/app/components/workflow/utils' @@ -31,9 +34,8 @@ type Props = { hideProcessDetail?: boolean onShowIterationDetail?: (detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => void onShowRetryDetail?: (detail: NodeTracing[]) => void + onShowAgentOrToolLog?: (detail?: AgentLogItemWithChildren) => void notShowIterationNav?: boolean - justShowIterationNavArrow?: boolean - justShowRetryNavArrow?: boolean } const NodePanel: FC<Props> = ({ @@ -44,8 +46,8 @@ const NodePanel: FC<Props> = ({ hideProcessDetail, onShowIterationDetail, onShowRetryDetail, + onShowAgentOrToolLog, notShowIterationNav, - justShowIterationNavArrow, }) => { const [collapseState, doSetCollapseState] = useState<boolean>(true) const setCollapseState = useCallback((state: boolean) => { @@ -59,7 +61,7 @@ const NodePanel: FC<Props> = ({ if (time < 1) return `${(time * 1000).toFixed(3)} ms` if (time > 60) - return `${parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s` + return `${Number.parseInt(Math.round(time / 60).toString())} m ${(time % 60).toFixed(3)} s` return `${time.toFixed(3)} s` } @@ -67,43 +69,20 @@ const NodePanel: FC<Props> = ({ if (tokens < 1000) return tokens if (tokens >= 1000 && tokens < 1000000) - return `${parseFloat((tokens / 1000).toFixed(3))}K` + return `${Number.parseFloat((tokens / 1000).toFixed(3))}K` if (tokens >= 1000000) - return `${parseFloat((tokens / 1000000).toFixed(3))}M` + return `${Number.parseFloat((tokens / 1000000).toFixed(3))}M` } - const getCount = (iteration_curr_length: number | undefined, iteration_length: number) => { - if ((iteration_curr_length && iteration_curr_length < iteration_length) || !iteration_length) - return iteration_curr_length - - return iteration_length - } - const getErrorCount = (details: NodeTracing[][] | undefined) => { - if (!details || details.length === 0) - return 0 - - return details.reduce((acc, iteration) => { - if (iteration.some(item => item.status === 'failed')) - acc++ - return acc - }, 0) - } useEffect(() => { setCollapseState(!nodeInfo.expand) }, [nodeInfo.expand, setCollapseState]) - const isIterationNode = nodeInfo.node_type === BlockEnum.Iteration - const isRetryNode = hasRetryNode(nodeInfo.node_type) && nodeInfo.retryDetail - const handleOnShowIterationDetail = (e: React.MouseEvent<HTMLButtonElement>) => { - e.stopPropagation() - e.nativeEvent.stopImmediatePropagation() - onShowIterationDetail?.(nodeInfo.details || [], nodeInfo?.iterDurationMap || nodeInfo.execution_metadata?.iteration_duration_map || {}) - } - const handleOnShowRetryDetail = (e: React.MouseEvent<HTMLButtonElement>) => { - e.stopPropagation() - e.nativeEvent.stopImmediatePropagation() - onShowRetryDetail?.(nodeInfo.retryDetail || []) - } + const isIterationNode = nodeInfo.node_type === BlockEnum.Iteration && !!nodeInfo.details?.length + const isRetryNode = hasRetryNode(nodeInfo.node_type) && !!nodeInfo.retryDetail?.length + const isAgentNode = nodeInfo.node_type === BlockEnum.Agent && !!nodeInfo.agentLog?.length + const isToolNode = nodeInfo.node_type === BlockEnum.Tool && !!nodeInfo.agentLog?.length + return ( <div className={cn('px-2 py-1', className)}> <div className='group transition-all bg-background-default border border-components-panel-border rounded-[10px] shadow-xs hover:shadow-md'> @@ -153,46 +132,26 @@ const NodePanel: FC<Props> = ({ {!collapseState && !hideProcessDetail && ( <div className='px-1 pb-1'> {/* The nav to the iteration detail */} - {isIterationNode && !notShowIterationNav && ( - <div className='mt-2 mb-1 !px-2'> - <Button - className='flex items-center w-full self-stretch gap-2 px-3 py-2 bg-components-button-tertiary-bg-hover hover:bg-components-button-tertiary-bg-hover rounded-lg cursor-pointer border-none' - onClick={handleOnShowIterationDetail} - > - <Iteration className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' /> - <div className='flex-1 text-left system-sm-medium text-components-button-tertiary-text'>{t('workflow.nodes.iteration.iteration', { count: getCount(nodeInfo.details?.length, nodeInfo.metadata?.iterator_length) })}{getErrorCount(nodeInfo.details) > 0 && ( - <> - {t('workflow.nodes.iteration.comma')} - {t('workflow.nodes.iteration.error', { count: getErrorCount(nodeInfo.details) })} - </> - )}</div> - {justShowIterationNavArrow - ? ( - <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' /> - ) - : ( - <div className='flex items-center space-x-1 text-[#155EEF]'> - <div className='text-[13px] font-normal '>{t('workflow.common.viewDetailInTracingPanel')}</div> - <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' /> - </div> - )} - </Button> - <Split className='mt-2' /> - </div> + {isIterationNode && !notShowIterationNav && onShowIterationDetail && ( + <IterationLogTrigger + nodeInfo={nodeInfo} + onShowIterationResultList={onShowIterationDetail} + /> )} - {isRetryNode && ( - <Button - className='flex items-center justify-between mb-1 w-full' - variant='tertiary' - onClick={handleOnShowRetryDetail} - > - <div className='flex items-center'> - <RiRestartFill className='mr-0.5 w-4 h-4 text-components-button-tertiary-text flex-shrink-0' /> - {t('workflow.nodes.common.retry.retries', { num: nodeInfo.retryDetail?.length })} - </div> - <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' /> - </Button> + {isRetryNode && onShowRetryDetail && ( + <RetryLogTrigger + nodeInfo={nodeInfo} + onShowRetryResultList={onShowRetryDetail} + /> )} + { + (isAgentNode || isToolNode) && onShowAgentOrToolLog && ( + <AgentLogTrigger + nodeInfo={nodeInfo} + onShowAgentOrToolLog={onShowAgentOrToolLog} + /> + ) + } <div className={cn('mb-1', hideInfo && '!px-2 !py-0.5')}> {(nodeInfo.status === 'stopped') && ( <StatusContainer status='stopped'> diff --git a/web/app/components/workflow/run/output-panel.tsx b/web/app/components/workflow/run/output-panel.tsx index ee508572c50d18..8056b0672c4139 100644 --- a/web/app/components/workflow/run/output-panel.tsx +++ b/web/app/components/workflow/run/output-panel.tsx @@ -54,7 +54,7 @@ const OutputPanel: FC<OutputPanelProps> = ({ return getProcessedFilesFromResponse(fileList) }, [outputs]) return ( - <div className='py-2'> + <div className='p-2'> {isRunning && ( <div className='pt-4 pl-[26px]'> <LoadingAnim type='text' /> diff --git a/web/app/components/workflow/run/result-panel.tsx b/web/app/components/workflow/run/result-panel.tsx index bbe740ad48ecfe..b05e5cb888f15b 100644 --- a/web/app/components/workflow/run/result-panel.tsx +++ b/web/app/components/workflow/run/result-panel.tsx @@ -1,19 +1,23 @@ 'use client' import type { FC } from 'react' import { useTranslation } from 'react-i18next' -import { - RiArrowRightSLine, - RiRestartFill, -} from '@remixicon/react' import StatusPanel from './status' import MetaData from './meta' import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor' import { CodeLanguage } from '@/app/components/workflow/nodes/code/types' import ErrorHandleTip from '@/app/components/workflow/nodes/_base/components/error-handle/error-handle-tip' -import type { NodeTracing } from '@/types/workflow' -import Button from '@/app/components/base/button' +import type { + AgentLogItemWithChildren, + NodeTracing, +} from '@/types/workflow' +import { BlockEnum } from '@/app/components/workflow/types' +import { hasRetryNode } from '@/app/components/workflow/utils' +import { IterationLogTrigger } from '@/app/components/workflow/run/iteration-log' +import { RetryLogTrigger } from '@/app/components/workflow/run/retry-log' +import { AgentLogTrigger } from '@/app/components/workflow/run/agent-log' type ResultPanelProps = { + nodeInfo?: NodeTracing inputs?: string process_data?: string outputs?: string @@ -28,11 +32,13 @@ type ResultPanelProps = { showSteps?: boolean exceptionCounts?: number execution_metadata?: any - retry_events?: NodeTracing[] - onShowRetryDetail?: (retries: NodeTracing[]) => void + handleShowIterationResultList?: (detail: NodeTracing[][], iterDurationMap: any) => void + onShowRetryDetail?: (detail: NodeTracing[]) => void + handleShowAgentOrToolLog?: (detail?: AgentLogItemWithChildren) => void } const ResultPanel: FC<ResultPanelProps> = ({ + nodeInfo, inputs, process_data, outputs, @@ -46,10 +52,15 @@ const ResultPanel: FC<ResultPanelProps> = ({ showSteps, exceptionCounts, execution_metadata, - retry_events, + handleShowIterationResultList, onShowRetryDetail, + handleShowAgentOrToolLog, }) => { const { t } = useTranslation() + const isIterationNode = nodeInfo?.node_type === BlockEnum.Iteration && !!nodeInfo?.details?.length + const isRetryNode = hasRetryNode(nodeInfo?.node_type) && !!nodeInfo?.retryDetail?.length + const isAgentNode = nodeInfo?.node_type === BlockEnum.Agent && !!nodeInfo?.agentLog?.length + const isToolNode = nodeInfo?.node_type === BlockEnum.Tool && !!nodeInfo?.agentLog?.length return ( <div className='bg-components-panel-bg py-2'> @@ -62,23 +73,32 @@ const ResultPanel: FC<ResultPanelProps> = ({ exceptionCounts={exceptionCounts} /> </div> - { - retry_events?.length && onShowRetryDetail && ( - <div className='px-4'> - <Button - className='flex items-center justify-between w-full' - variant='tertiary' - onClick={() => onShowRetryDetail(retry_events)} - > - <div className='flex items-center'> - <RiRestartFill className='mr-0.5 w-4 h-4 text-components-button-tertiary-text flex-shrink-0' /> - {t('workflow.nodes.common.retry.retries', { num: retry_events?.length })} - </div> - <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text flex-shrink-0' /> - </Button> - </div> - ) - } + <div className='px-4'> + { + isIterationNode && handleShowIterationResultList && ( + <IterationLogTrigger + nodeInfo={nodeInfo} + onShowIterationResultList={handleShowIterationResultList} + /> + ) + } + { + isRetryNode && onShowRetryDetail && ( + <RetryLogTrigger + nodeInfo={nodeInfo} + onShowRetryResultList={onShowRetryDetail} + /> + ) + } + { + (isAgentNode || isToolNode) && handleShowAgentOrToolLog && ( + <AgentLogTrigger + nodeInfo={nodeInfo} + onShowAgentOrToolLog={handleShowAgentOrToolLog} + /> + ) + } + </div> <div className='px-4 py-2 flex flex-col gap-2'> <CodeEditor readOnly diff --git a/web/app/components/workflow/run/result-text.tsx b/web/app/components/workflow/run/result-text.tsx index 27b1f2cd8c1b2c..9183226b6057f8 100644 --- a/web/app/components/workflow/run/result-text.tsx +++ b/web/app/components/workflow/run/result-text.tsx @@ -7,7 +7,7 @@ import LoadingAnim from '@/app/components/base/chat/chat/loading-anim' import StatusContainer from '@/app/components/workflow/run/status-container' import { FileList } from '@/app/components/base/file-uploader' -type ResultTextProps = { +interface ResultTextProps { isRunning?: boolean outputs?: any error?: string diff --git a/web/app/components/workflow/run/retry-log/index.tsx b/web/app/components/workflow/run/retry-log/index.tsx new file mode 100644 index 00000000000000..ee83f1a151bbb0 --- /dev/null +++ b/web/app/components/workflow/run/retry-log/index.tsx @@ -0,0 +1,2 @@ +export { default as RetryLogTrigger } from './retry-log-trigger' +export { default as RetryResultPanel } from './retry-result-panel' diff --git a/web/app/components/workflow/run/retry-log/retry-log-trigger.tsx b/web/app/components/workflow/run/retry-log/retry-log-trigger.tsx new file mode 100644 index 00000000000000..9c4a987c4244d5 --- /dev/null +++ b/web/app/components/workflow/run/retry-log/retry-log-trigger.tsx @@ -0,0 +1,41 @@ +import { useTranslation } from 'react-i18next' +import { + RiArrowRightSLine, + RiRestartFill, +} from '@remixicon/react' +import Button from '@/app/components/base/button' +import type { NodeTracing } from '@/types/workflow' + +type RetryLogTriggerProps = { + nodeInfo: NodeTracing + onShowRetryResultList: (detail: NodeTracing[]) => void +} +const RetryLogTrigger = ({ + nodeInfo, + onShowRetryResultList, +}: RetryLogTriggerProps) => { + const { t } = useTranslation() + const { retryDetail } = nodeInfo + + const handleShowRetryResultList = (e: React.MouseEvent<HTMLButtonElement>) => { + e.stopPropagation() + e.nativeEvent.stopImmediatePropagation() + onShowRetryResultList(retryDetail || []) + } + + return ( + <Button + className='flex items-center justify-between mb-1 w-full' + variant='tertiary' + onClick={handleShowRetryResultList} + > + <div className='flex items-center'> + <RiRestartFill className='mr-0.5 w-4 h-4 text-components-button-tertiary-text shrink-0' /> + {t('workflow.nodes.common.retry.retries', { num: retryDetail?.length })} + </div> + <RiArrowRightSLine className='w-4 h-4 text-components-button-tertiary-text shrink-0' /> + </Button> + ) +} + +export default RetryLogTrigger diff --git a/web/app/components/workflow/run/retry-result-panel.tsx b/web/app/components/workflow/run/retry-log/retry-result-panel.tsx similarity index 96% rename from web/app/components/workflow/run/retry-result-panel.tsx rename to web/app/components/workflow/run/retry-log/retry-result-panel.tsx index 3b177b1623b4b0..a8d171a4fcfaa4 100644 --- a/web/app/components/workflow/run/retry-result-panel.tsx +++ b/web/app/components/workflow/run/retry-log/retry-result-panel.tsx @@ -6,7 +6,7 @@ import { useTranslation } from 'react-i18next' import { RiArrowLeftLine, } from '@remixicon/react' -import TracingPanel from './tracing-panel' +import TracingPanel from '../tracing-panel' import type { NodeTracing } from '@/types/workflow' type Props = { diff --git a/web/app/components/workflow/run/special-result-panel.tsx b/web/app/components/workflow/run/special-result-panel.tsx new file mode 100644 index 00000000000000..cdd77894f5ba51 --- /dev/null +++ b/web/app/components/workflow/run/special-result-panel.tsx @@ -0,0 +1,73 @@ +import { RetryResultPanel } from './retry-log' +import { IterationResultPanel } from './iteration-log' +import { AgentResultPanel } from './agent-log' +import type { + AgentLogItemWithChildren, + IterationDurationMap, + NodeTracing, +} from '@/types/workflow' + +export type SpecialResultPanelProps = { + showRetryDetail?: boolean + setShowRetryDetailFalse?: () => void + retryResultList?: NodeTracing[] + + showIteratingDetail?: boolean + setShowIteratingDetailFalse?: () => void + iterationResultList?: NodeTracing[][] + iterationResultDurationMap?: IterationDurationMap + + agentOrToolLogItemStack?: AgentLogItemWithChildren[] + agentOrToolLogListMap?: Record<string, AgentLogItemWithChildren[]> + handleShowAgentOrToolLog?: (detail?: AgentLogItemWithChildren) => void +} +const SpecialResultPanel = ({ + showRetryDetail, + setShowRetryDetailFalse, + retryResultList, + + showIteratingDetail, + setShowIteratingDetailFalse, + iterationResultList, + iterationResultDurationMap, + + agentOrToolLogItemStack, + agentOrToolLogListMap, + handleShowAgentOrToolLog, +}: SpecialResultPanelProps) => { + return ( + <div onClick={(e) => { + e.stopPropagation() + e.nativeEvent.stopImmediatePropagation() + }}> + { + !!showRetryDetail && !!retryResultList?.length && setShowRetryDetailFalse && ( + <RetryResultPanel + list={retryResultList} + onBack={setShowRetryDetailFalse} + /> + ) + } + { + showIteratingDetail && !!iterationResultList?.length && setShowIteratingDetailFalse && ( + <IterationResultPanel + list={iterationResultList} + onBack={setShowIteratingDetailFalse} + iterDurationMap={iterationResultDurationMap} + /> + ) + } + { + !!agentOrToolLogItemStack?.length && agentOrToolLogListMap && handleShowAgentOrToolLog && ( + <AgentResultPanel + agentOrToolLogItemStack={agentOrToolLogItemStack} + agentOrToolLogListMap={agentOrToolLogListMap} + onShowAgentOrToolLog={handleShowAgentOrToolLog} + /> + ) + } + </div> + ) +} + +export default SpecialResultPanel diff --git a/web/app/components/workflow/run/status-container.tsx b/web/app/components/workflow/run/status-container.tsx index 97d0e100dbda58..296845ca4fbeed 100644 --- a/web/app/components/workflow/run/status-container.tsx +++ b/web/app/components/workflow/run/status-container.tsx @@ -1,5 +1,7 @@ 'use client' import type { FC } from 'react' +import { useAppContext } from '@/context/app-context' +import { Theme } from '@/types/app' import cn from '@/utils/classnames' type Props = { @@ -11,19 +13,36 @@ const StatusContainer: FC<Props> = ({ status, children, }) => { + const { theme } = useAppContext() return ( <div className={cn( 'relative px-3 py-2.5 rounded-lg border system-xs-regular break-all', - status === 'succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-success', - status === 'partial-succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-success', - status === 'failed' && 'border-[rgba(240,68,56,0.8)] bg-workflow-display-error-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-error.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(240,68,56,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-warning', - status === 'stopped' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-destructive', - status === 'exception' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-text-destructive', - status === 'running' && 'border-[rgba(11,165,236,0.8)] bg-workflow-display-normal-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-running.svg)] shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(11,165,236,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)] text-util-colors-blue-light-blue-light-600', + status === 'succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] text-text-success', + status === 'succeeded' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]', + status === 'succeeded' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(23,178,106,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]', + status === 'partial-succeeded' && 'border-[rgba(23,178,106,0.8)] bg-workflow-display-success-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-success.svg)] text-text-success', + status === 'partial-succeeded' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(23,178,106,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]', + status === 'partial-succeeded' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(23,178,106,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]', + status === 'failed' && 'border-[rgba(240,68,56,0.8)] bg-workflow-display-error-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-error.svg)] text-text-warning', + status === 'failed' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(240,68,56,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]', + status === 'failed' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(240,68,56,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]', + status === 'stopped' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] text-text-destructive', + status === 'stopped' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]', + status === 'stopped' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(247,144,9,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]', + status === 'exception' && 'border-[rgba(247,144,9,0.8)] bg-workflow-display-warning-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-warning.svg)] text-text-destructive', + status === 'exception' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(247,144,9,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]', + status === 'exception' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(247,144,9,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]', + status === 'running' && 'border-[rgba(11,165,236,0.8)] bg-workflow-display-normal-bg bg-[url(~@/app/components/workflow/run/assets/bg-line-running.svg)] text-util-colors-blue-light-blue-light-600', + status === 'running' && theme === Theme.light && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.5),inset_0_1px_3px_0_rgba(0,0,0,0.12),inset_0_2px_24px_0_rgba(11,165,236,0.2),0_1px_2px_0_rgba(9,9,11,0.05),0_0_0_1px_rgba(0,0,0,0.05)]', + status === 'running' && theme === Theme.dark && 'shadow-[inset_2px_2px_0_0_rgba(255,255,255,0.12),inset_0_1px_3px_0_rgba(0,0,0,0.4),inset_0_2px_24px_0_rgba(11,165,236,0.25),0_1px_2px_0_rgba(0,0,0,0.1),0_0_0_1px_rgba(24, 24, 27, 0.95)]', )} > - <div className='absolute top-0 left-0 w-[65%] h-[50px] bg-[url(~@/app/components/workflow/run/assets/highlight.svg)]'></div> + <div className={cn( + 'absolute top-0 left-0 w-[65%] h-[50px] bg-no-repeat', + theme === Theme.light && 'bg-[url(~@/app/components/workflow/run/assets/highlight.svg)]', + theme === Theme.dark && 'bg-[url(~@/app/components/workflow/run/assets/highlight-dark.svg)]', + )}></div> {children} </div> ) diff --git a/web/app/components/workflow/run/tracing-panel.tsx b/web/app/components/workflow/run/tracing-panel.tsx index ad7897189592cf..7739c8f8365b9a 100644 --- a/web/app/components/workflow/run/tracing-panel.tsx +++ b/web/app/components/workflow/run/tracing-panel.tsx @@ -12,162 +12,27 @@ import { RiMenu4Line, } from '@remixicon/react' import { useTranslation } from 'react-i18next' +import { useLogs } from './hooks' import NodePanel from './node' -import { - BlockEnum, -} from '@/app/components/workflow/types' -import type { IterationDurationMap, NodeTracing } from '@/types/workflow' +import SpecialResultPanel from './special-result-panel' +import type { NodeTracing } from '@/types/workflow' +import formatNodeList from '@/app/components/workflow/run/utils/format-log' type TracingPanelProps = { list: NodeTracing[] - onShowIterationDetail?: (detail: NodeTracing[][], iterDurationMap: IterationDurationMap) => void - onShowRetryDetail?: (detail: NodeTracing[]) => void className?: string hideNodeInfo?: boolean hideNodeProcessDetail?: boolean } -type TracingNodeProps = { - id: string - uniqueId: string - isParallel: boolean - data: NodeTracing | null - children: TracingNodeProps[] - parallelTitle?: string - branchTitle?: string - hideNodeInfo?: boolean - hideNodeProcessDetail?: boolean -} - -function buildLogTree(nodes: NodeTracing[], t: (key: string) => string): TracingNodeProps[] { - const rootNodes: TracingNodeProps[] = [] - const parallelStacks: { [key: string]: TracingNodeProps } = {} - const levelCounts: { [key: string]: number } = {} - const parallelChildCounts: { [key: string]: Set<string> } = {} - let uniqueIdCounter = 0 - const getUniqueId = () => { - uniqueIdCounter++ - return `unique-${uniqueIdCounter}` - } - - const getParallelTitle = (parentId: string | null): string => { - const levelKey = parentId || 'root' - if (!levelCounts[levelKey]) - levelCounts[levelKey] = 0 - - levelCounts[levelKey]++ - - const parentTitle = parentId ? parallelStacks[parentId]?.parallelTitle : '' - const levelNumber = parentTitle ? parseInt(parentTitle.split('-')[1]) + 1 : 1 - const letter = parallelChildCounts[levelKey]?.size > 1 ? String.fromCharCode(64 + levelCounts[levelKey]) : '' - return `${t('workflow.common.parallel')}-${levelNumber}${letter}` - } - - const getBranchTitle = (parentId: string | null, branchNum: number): string => { - const levelKey = parentId || 'root' - const parentTitle = parentId ? parallelStacks[parentId]?.parallelTitle : '' - const levelNumber = parentTitle ? parseInt(parentTitle.split('-')[1]) + 1 : 1 - const letter = parallelChildCounts[levelKey]?.size > 1 ? String.fromCharCode(64 + levelCounts[levelKey]) : '' - const branchLetter = String.fromCharCode(64 + branchNum) - return `${t('workflow.common.branch')}-${levelNumber}${letter}-${branchLetter}` - } - - // Count parallel children (for figuring out if we need to use letters) - for (const node of nodes) { - const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null - const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null - - if (parallel_id) { - const parentKey = parent_parallel_id || 'root' - if (!parallelChildCounts[parentKey]) - parallelChildCounts[parentKey] = new Set() - - parallelChildCounts[parentKey].add(parallel_id) - } - } - - for (const node of nodes) { - const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null - const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null - const parallel_start_node_id = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null - const parent_parallel_start_node_id = node.parent_parallel_start_node_id ?? node.execution_metadata?.parent_parallel_start_node_id ?? null - - if (!parallel_id || node.node_type === BlockEnum.End) { - rootNodes.push({ - id: node.id, - uniqueId: getUniqueId(), - isParallel: false, - data: node, - children: [], - }) - } - else { - if (!parallelStacks[parallel_id]) { - const newParallelGroup: TracingNodeProps = { - id: parallel_id, - uniqueId: getUniqueId(), - isParallel: true, - data: null, - children: [], - parallelTitle: '', - } - parallelStacks[parallel_id] = newParallelGroup - - if (parent_parallel_id && parallelStacks[parent_parallel_id]) { - const sameBranchIndex = parallelStacks[parent_parallel_id].children.findLastIndex(c => - c.data?.execution_metadata?.parallel_start_node_id === parent_parallel_start_node_id || c.data?.parallel_start_node_id === parent_parallel_start_node_id, - ) - parallelStacks[parent_parallel_id].children.splice(sameBranchIndex + 1, 0, newParallelGroup) - newParallelGroup.parallelTitle = getParallelTitle(parent_parallel_id) - } - else { - newParallelGroup.parallelTitle = getParallelTitle(parent_parallel_id) - rootNodes.push(newParallelGroup) - } - } - const branchTitle = parallel_start_node_id === node.node_id ? getBranchTitle(parent_parallel_id, parallelStacks[parallel_id].children.length + 1) : '' - if (branchTitle) { - parallelStacks[parallel_id].children.push({ - id: node.id, - uniqueId: getUniqueId(), - isParallel: false, - data: node, - children: [], - branchTitle, - }) - } - else { - let sameBranchIndex = parallelStacks[parallel_id].children.findLastIndex(c => - c.data?.execution_metadata?.parallel_start_node_id === parallel_start_node_id || c.data?.parallel_start_node_id === parallel_start_node_id, - ) - if (parallelStacks[parallel_id].children[sameBranchIndex + 1]?.isParallel) - sameBranchIndex++ - - parallelStacks[parallel_id].children.splice(sameBranchIndex + 1, 0, { - id: node.id, - uniqueId: getUniqueId(), - isParallel: false, - data: node, - children: [], - branchTitle, - }) - } - } - } - - return rootNodes -} - const TracingPanel: FC<TracingPanelProps> = ({ list, - onShowIterationDetail, - onShowRetryDetail, className, hideNodeInfo = false, hideNodeProcessDetail = false, }) => { const { t } = useTranslation() - const treeNodes = buildLogTree(list, t) + const treeNodes = formatNodeList(list, t) const [collapsedNodes, setCollapsedNodes] = useState<Set<string>>(new Set()) const [hoveredParallel, setHoveredParallel] = useState<string | null>(null) @@ -203,13 +68,34 @@ const TracingPanel: FC<TracingPanelProps> = ({ } }, []) - const renderNode = (node: TracingNodeProps) => { - if (node.isParallel) { + const { + showSpecialResultPanel, + + showRetryDetail, + setShowRetryDetailFalse, + retryResultList, + handleShowRetryResultList, + + showIteratingDetail, + setShowIteratingDetailFalse, + iterationResultList, + iterationResultDurationMap, + handleShowIterationResultList, + + agentOrToolLogItemStack, + agentOrToolLogListMap, + handleShowAgentOrToolLog, + } = useLogs() + + const renderNode = (node: NodeTracing) => { + const isParallelFirstNode = !!node.parallelDetail?.isParallelStartNode + if (isParallelFirstNode) { + const parallelDetail = node.parallelDetail! const isCollapsed = collapsedNodes.has(node.id) const isHovered = hoveredParallel === node.id return ( <div - key={node.uniqueId} + key={node.id} className="ml-4 mb-2 relative" data-parallel-id={node.id} onMouseEnter={() => handleParallelMouseEnter(node.id)} @@ -226,10 +112,10 @@ const TracingPanel: FC<TracingPanelProps> = ({ {isHovered ? <RiArrowDownSLine className="w-3 h-3" /> : <RiMenu4Line className="w-3 h-3 text-text-tertiary" />} </button> <div className="system-xs-semibold-uppercase text-text-secondary flex items-center"> - <span>{node.parallelTitle}</span> + <span>{parallelDetail.parallelTitle}</span> </div> <div - className="mx-2 flex-grow h-px bg-divider-subtle" + className="mx-2 grow h-px bg-divider-subtle" style={{ background: 'linear-gradient(to right, rgba(16, 24, 40, 0.08), rgba(255, 255, 255, 0)' }} ></div> </div> @@ -238,7 +124,7 @@ const TracingPanel: FC<TracingPanelProps> = ({ 'absolute top-0 bottom-0 left-[5px] w-[2px]', isHovered ? 'bg-text-accent-secondary' : 'bg-divider-subtle', )}></div> - {node.children.map(renderNode)} + {parallelDetail.children!.map(renderNode)} </div> </div> ) @@ -246,16 +132,15 @@ const TracingPanel: FC<TracingPanelProps> = ({ else { const isHovered = hoveredParallel === node.id return ( - <div key={node.uniqueId}> + <div key={node.id}> <div className={cn('pl-4 -mb-1.5 system-2xs-medium-uppercase', isHovered ? 'text-text-tertiary' : 'text-text-quaternary')}> - {node.branchTitle} + {node?.parallelDetail?.branchTitle} </div> <NodePanel - nodeInfo={node.data!} - onShowIterationDetail={onShowIterationDetail} - onShowRetryDetail={onShowRetryDetail} - justShowIterationNavArrow={true} - justShowRetryNavArrow={true} + nodeInfo={node!} + onShowIterationDetail={handleShowIterationResultList} + onShowRetryDetail={handleShowRetryResultList} + onShowAgentOrToolLog={handleShowAgentOrToolLog} hideInfo={hideNodeInfo} hideProcessDetail={hideNodeProcessDetail} /> @@ -264,8 +149,33 @@ const TracingPanel: FC<TracingPanelProps> = ({ } } + if (showSpecialResultPanel) { + return ( + <SpecialResultPanel + showRetryDetail={showRetryDetail} + setShowRetryDetailFalse={setShowRetryDetailFalse} + retryResultList={retryResultList} + + showIteratingDetail={showIteratingDetail} + setShowIteratingDetailFalse={setShowIteratingDetailFalse} + iterationResultList={iterationResultList} + iterationResultDurationMap={iterationResultDurationMap} + + agentOrToolLogItemStack={agentOrToolLogItemStack} + agentOrToolLogListMap={agentOrToolLogListMap} + handleShowAgentOrToolLog={handleShowAgentOrToolLog} + /> + ) + } + return ( - <div className={cn(className || 'bg-components-panel-bg', 'py-2')}> + <div + className={cn(className || 'bg-components-panel-bg', 'py-2')} + onClick={(e) => { + e.stopPropagation() + e.nativeEvent.stopImmediatePropagation() + }} + > {treeNodes.map(renderNode)} </div> ) diff --git a/web/app/components/workflow/run/utils/format-log/agent/data.ts b/web/app/components/workflow/run/utils/format-log/agent/data.ts new file mode 100644 index 00000000000000..a1e06bf63ba55e --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/agent/data.ts @@ -0,0 +1,182 @@ +import { BlockEnum } from '@/app/components/workflow/types' + +export const agentNodeData = (() => { + const node = { + node_type: BlockEnum.Agent, + execution_metadata: { + agent_log: [ + { id: '1', label: 'Root 1' }, + { id: '2', parent_id: '1', label: 'Child 1.2' }, + { id: '3', parent_id: '1', label: 'Child 1.3' }, + { id: '4', parent_id: '2', label: 'Child 2.4' }, + { id: '5', parent_id: '2', label: 'Child 2.5' }, + { id: '6', parent_id: '3', label: 'Child 3.6' }, + { id: '7', parent_id: '4', label: 'Child 4.7' }, + { id: '8', parent_id: '4', label: 'Child 4.8' }, + { id: '9', parent_id: '5', label: 'Child 5.9' }, + { id: '10', parent_id: '5', label: 'Child 5.10' }, + { id: '11', parent_id: '7', label: 'Child 7.11' }, + { id: '12', parent_id: '7', label: 'Child 7.12' }, + { id: '13', parent_id: '9', label: 'Child 9.13' }, + { id: '14', parent_id: '9', label: 'Child 9.14' }, + { id: '15', parent_id: '9', label: 'Child 9.15' }, + ], + }, + } + + return { + in: [node], + expect: [{ + ...node, + agentLog: [ + { + id: '1', + label: 'Root 1', + children: [ + { + id: '2', + parent_id: '1', + label: 'Child 1.2', + children: [ + { + id: '4', + parent_id: '2', + label: 'Child 2.4', + children: [ + { + id: '7', + parent_id: '4', + label: 'Child 4.7', + children: [ + { id: '11', parent_id: '7', label: 'Child 7.11' }, + { id: '12', parent_id: '7', label: 'Child 7.12' }, + ], + }, + { id: '8', parent_id: '4', label: 'Child 4.8' }, + ], + }, + { + id: '5', + parent_id: '2', + label: 'Child 2.5', + children: [ + { + id: '9', + parent_id: '5', + label: 'Child 5.9', + children: [ + { id: '13', parent_id: '9', label: 'Child 9.13' }, + { id: '14', parent_id: '9', label: 'Child 9.14' }, + { id: '15', parent_id: '9', label: 'Child 9.15' }, + ], + }, + { id: '10', parent_id: '5', label: 'Child 5.10' }, + ], + }, + ], + }, + { + id: '3', + parent_id: '1', + label: 'Child 1.3', + children: [ + { id: '6', parent_id: '3', label: 'Child 3.6' }, + ], + }, + ], + }, + ], + }], + } +})() + +export const oneStepCircle = (() => { + const node = { + node_type: BlockEnum.Agent, + execution_metadata: { + agent_log: [ + { id: '1', label: 'Node 1' }, + { id: '1', parent_id: '1', label: 'Node 1' }, + { id: '1', parent_id: '1', label: 'Node 1' }, + { id: '1', parent_id: '1', label: 'Node 1' }, + { id: '1', parent_id: '1', label: 'Node 1' }, + { id: '1', parent_id: '1', label: 'Node 1' }, + ], + }, + } + + return { + in: [node], + expect: [{ + ...node, + agentLog: [ + { + id: '1', + label: 'Node 1', + hasCircle: true, + children: [], + }, + ], + }], + } +})() + +export const multiStepsCircle = (() => { + const node = { + node_type: BlockEnum.Agent, + execution_metadata: { + agent_log: [ + // 1 -> [2 -> 4 -> 1, 3] + { id: '1', label: 'Node 1' }, + { id: '2', parent_id: '1', label: 'Node 2' }, + { id: '3', parent_id: '1', label: 'Node 3' }, + { id: '4', parent_id: '2', label: 'Node 4' }, + + // Loop + { id: '1', parent_id: '4', label: 'Node 1' }, + { id: '2', parent_id: '1', label: 'Node 2' }, + { id: '4', parent_id: '2', label: 'Node 4' }, + { id: '1', parent_id: '4', label: 'Node 1' }, + { id: '2', parent_id: '1', label: 'Node 2' }, + { id: '4', parent_id: '2', label: 'Node 4' }, + ], + }, + } + // 1 -> [2(4(1(2(4...)))), 3] + return { + in: [node], + expect: [{ + ...node, + agentLog: [ + { + id: '1', + label: 'Node 1', + children: [ + { + id: '2', + parent_id: '1', + label: 'Node 2', + children: [ + { + id: '4', + parent_id: '2', + label: 'Node 4', + children: [], + hasCircle: true, + }, + ], + }, + { + id: '3', + parent_id: '1', + label: 'Node 3', + }, + ], + }, + ], + }], + } +})() + +export const CircleNestCircle = (() => { +})() diff --git a/web/app/components/workflow/run/utils/format-log/agent/index.spec.ts b/web/app/components/workflow/run/utils/format-log/agent/index.spec.ts new file mode 100644 index 00000000000000..59cf0ce3080974 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/agent/index.spec.ts @@ -0,0 +1,15 @@ +import format from '.' +import { agentNodeData, multiStepsCircle, oneStepCircle } from './data' + +describe('agent', () => { + test('list should transform to tree', () => { + // console.log(format(agentNodeData.in as any)) + expect(format(agentNodeData.in as any)).toEqual(agentNodeData.expect) + }) + + test('list should remove circle log item', () => { + // format(oneStepCircle.in as any) + expect(format(oneStepCircle.in as any)).toEqual(oneStepCircle.expect) + expect(format(multiStepsCircle.in as any)).toEqual(multiStepsCircle.expect) + }) +}) diff --git a/web/app/components/workflow/run/utils/format-log/agent/index.ts b/web/app/components/workflow/run/utils/format-log/agent/index.ts new file mode 100644 index 00000000000000..c1f3afc20a07d0 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/agent/index.ts @@ -0,0 +1,99 @@ +import { BlockEnum } from '@/app/components/workflow/types' +import type { AgentLogItem, AgentLogItemWithChildren, NodeTracing } from '@/types/workflow' +import { cloneDeep } from 'lodash-es' + +const supportedAgentLogNodes = [BlockEnum.Agent, BlockEnum.Tool] + +const remove = (node: AgentLogItemWithChildren, removeId: string) => { + let { children } = node + if (!children || children.length === 0) + return + + const hasCircle = !!children.find(c => c.id === removeId) + if (hasCircle) { + node.hasCircle = true + node.children = node.children.filter(c => c.id !== removeId) + children = node.children + } + + children.forEach((child) => { + remove(child, removeId) + }) +} + +const removeRepeatedSiblings = (list: AgentLogItemWithChildren[]) => { + if (!list || list.length === 0) + return [] + + const result: AgentLogItemWithChildren[] = [] + const addedItemIds: string[] = [] + list.forEach((item) => { + if (!addedItemIds.includes(item.id)) { + result.push(item) + addedItemIds.push(item.id) + } + }) + return result +} + +const removeCircleLogItem = (log: AgentLogItemWithChildren) => { + const newLog = cloneDeep(log) + newLog.children = removeRepeatedSiblings(newLog.children) + let { id, children } = newLog + if (!children || children.length === 0) + return log + + // check one step circle + const hasOneStepCircle = !!children.find(c => c.id === id) + if (hasOneStepCircle) { + newLog.hasCircle = true + newLog.children = newLog.children.filter(c => c.id !== id) + children = newLog.children + } + + children.forEach((child, index) => { + remove(child, id) // check multi steps circle + children[index] = removeCircleLogItem(child) + }) + return newLog +} + +const listToTree = (logs: AgentLogItem[]) => { + if (!logs || logs.length === 0) + return [] + + const tree: AgentLogItemWithChildren[] = [] + logs.forEach((log) => { + const hasParent = !!log.parent_id + if (hasParent) { + const parent = logs.find(item => item.id === log.parent_id) as AgentLogItemWithChildren + if (parent) { + if (!parent.children) + parent.children = [] + parent.children.push(log as AgentLogItemWithChildren) + } + } + else { + tree.push(log as AgentLogItemWithChildren) + } + }) + return tree +} + +const format = (list: NodeTracing[]): NodeTracing[] => { + const result: NodeTracing[] = list.map((item) => { + let treeList: AgentLogItemWithChildren[] = [] + let removedCircleTree: AgentLogItemWithChildren[] = [] + if (supportedAgentLogNodes.includes(item.node_type) && item.execution_metadata?.agent_log && item.execution_metadata?.agent_log.length > 0) + treeList = listToTree(item.execution_metadata.agent_log) + // console.log(JSON.stringify(treeList)) + removedCircleTree = treeList.length > 0 ? treeList.map(t => removeCircleLogItem(t)) : [] + item.agentLog = removedCircleTree + + return item + }) + + return result +} + +export default format diff --git a/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.spec.ts b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.spec.ts new file mode 100644 index 00000000000000..18758404ff0f54 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.spec.ts @@ -0,0 +1,128 @@ +import parseDSL from './graph-to-log-struct' + +describe('parseDSL', () => { + it('should parse plain nodes correctly', () => { + const dsl = 'plainNode1 -> plainNode2' + const result = parseDSL(dsl) + expect(result).toEqual([ + { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: {}, status: 'succeeded' }, + { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: {}, status: 'succeeded' }, + ]) + }) + + it('should parse retry nodes correctly', () => { + const dsl = '(retry, retryNode, 3)' + const result = parseDSL(dsl) + expect(result).toEqual([ + { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'succeeded' }, + { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'retry' }, + { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'retry' }, + { id: 'retryNode', node_id: 'retryNode', title: 'retryNode', execution_metadata: {}, status: 'retry' }, + ]) + }) + + it('should parse iteration nodes correctly', () => { + const dsl = '(iteration, iterationNode, plainNode1 -> plainNode2)' + const result = parseDSL(dsl) + expect(result).toEqual([ + { id: 'iterationNode', node_id: 'iterationNode', title: 'iterationNode', node_type: 'iteration', execution_metadata: {}, status: 'succeeded' }, + { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0 }, status: 'succeeded' }, + { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0 }, status: 'succeeded' }, + ]) + }) + + it('should parse parallel nodes correctly', () => { + const dsl = '(parallel, parallelNode, nodeA, nodeB -> nodeC)' + const result = parseDSL(dsl) + expect(result).toEqual([ + { id: 'parallelNode', node_id: 'parallelNode', title: 'parallelNode', execution_metadata: { parallel_id: 'parallelNode' }, status: 'succeeded' }, + { id: 'nodeA', node_id: 'nodeA', title: 'nodeA', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'nodeA' }, status: 'succeeded' }, + { id: 'nodeB', node_id: 'nodeB', title: 'nodeB', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'nodeB' }, status: 'succeeded' }, + { id: 'nodeC', node_id: 'nodeC', title: 'nodeC', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'nodeB' }, status: 'succeeded' }, + ]) + }) + + // TODO + it('should handle nested parallel nodes', () => { + const dsl = '(parallel, outerParallel, (parallel, innerParallel, plainNode1 -> plainNode2) -> plainNode3)' + const result = parseDSL(dsl) + expect(result).toEqual([ + { + id: 'outerParallel', + node_id: 'outerParallel', + title: 'outerParallel', + execution_metadata: { parallel_id: 'outerParallel' }, + status: 'succeeded', + }, + { + id: 'innerParallel', + node_id: 'innerParallel', + title: 'innerParallel', + execution_metadata: { parallel_id: 'outerParallel', parallel_start_node_id: 'innerParallel' }, + status: 'succeeded', + }, + { + id: 'plainNode1', + node_id: 'plainNode1', + title: 'plainNode1', + execution_metadata: { + parallel_id: 'innerParallel', + parallel_start_node_id: 'plainNode1', + parent_parallel_id: 'outerParallel', + parent_parallel_start_node_id: 'innerParallel', + }, + status: 'succeeded', + }, + { + id: 'plainNode2', + node_id: 'plainNode2', + title: 'plainNode2', + execution_metadata: { + parallel_id: 'innerParallel', + parallel_start_node_id: 'plainNode1', + parent_parallel_id: 'outerParallel', + parent_parallel_start_node_id: 'innerParallel', + }, + status: 'succeeded', + }, + { + id: 'plainNode3', + node_id: 'plainNode3', + title: 'plainNode3', + execution_metadata: { + parallel_id: 'outerParallel', + parallel_start_node_id: 'plainNode3', + }, + status: 'succeeded', + }, + ]) + }) + + // iterations not support nested iterations + // it('should handle nested iterations', () => { + // const dsl = '(iteration, outerIteration, (iteration, innerIteration -> plainNode1 -> plainNode2))' + // const result = parseDSL(dsl) + // expect(result).toEqual([ + // { id: 'outerIteration', node_id: 'outerIteration', title: 'outerIteration', node_type: 'iteration', execution_metadata: {}, status: 'succeeded' }, + // { id: 'innerIteration', node_id: 'innerIteration', title: 'innerIteration', node_type: 'iteration', execution_metadata: { iteration_id: 'outerIteration', iteration_index: 0 }, status: 'succeeded' }, + // { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: { iteration_id: 'innerIteration', iteration_index: 0 }, status: 'succeeded' }, + // { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: { iteration_id: 'innerIteration', iteration_index: 0 }, status: 'succeeded' }, + // ]) + // }) + + it('should handle nested iterations within parallel nodes', () => { + const dsl = '(parallel, parallelNode, (iteration, iterationNode, plainNode1, plainNode2))' + const result = parseDSL(dsl) + expect(result).toEqual([ + { id: 'parallelNode', node_id: 'parallelNode', title: 'parallelNode', execution_metadata: { parallel_id: 'parallelNode' }, status: 'succeeded' }, + { id: 'iterationNode', node_id: 'iterationNode', title: 'iterationNode', node_type: 'iteration', execution_metadata: { parallel_id: 'parallelNode', parallel_start_node_id: 'iterationNode' }, status: 'succeeded' }, + { id: 'plainNode1', node_id: 'plainNode1', title: 'plainNode1', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0, parallel_id: 'parallelNode', parallel_start_node_id: 'iterationNode' }, status: 'succeeded' }, + { id: 'plainNode2', node_id: 'plainNode2', title: 'plainNode2', execution_metadata: { iteration_id: 'iterationNode', iteration_index: 0, parallel_id: 'parallelNode', parallel_start_node_id: 'iterationNode' }, status: 'succeeded' }, + ]) + }) + + it('should throw an error for unknown node types', () => { + const dsl = '(unknown, nodeId)' + expect(() => parseDSL(dsl)).toThrowError('Unknown nodeType: unknown') + }) +}) diff --git a/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.ts b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.ts new file mode 100644 index 00000000000000..a6b20b056568a3 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/graph-to-log-struct.ts @@ -0,0 +1,304 @@ +type IterationInfo = { iterationId: string; iterationIndex: number } +type NodePlain = { nodeType: 'plain'; nodeId: string; } & Partial<IterationInfo> +type NodeComplex = { nodeType: string; nodeId: string; params: (NodePlain | (NodeComplex & Partial<IterationInfo>) | Node[] | number)[] } & Partial<IterationInfo> +type Node = NodePlain | NodeComplex + +/** + * Parses a DSL string into an array of node objects. + * @param dsl - The input DSL string. + * @returns An array of parsed nodes. + */ +function parseDSL(dsl: string): NodeData[] { + return convertToNodeData(parseTopLevelFlow(dsl).map(nodeStr => parseNode(nodeStr))) +} + +/** + * Splits a top-level flow string by "->", respecting nested structures. + * @param dsl - The DSL string to split. + * @returns An array of top-level segments. + */ +function parseTopLevelFlow(dsl: string): string[] { + const segments: string[] = [] + let buffer = '' + let nested = 0 + + for (let i = 0; i < dsl.length; i++) { + const char = dsl[i] + if (char === '(') nested++ + if (char === ')') nested-- + if (char === '-' && dsl[i + 1] === '>' && nested === 0) { + segments.push(buffer.trim()) + buffer = '' + i++ // Skip the ">" character + } + else { + buffer += char + } + } + if (buffer.trim()) + segments.push(buffer.trim()) + + return segments +} + +/** + * Parses a single node string. + * If the node is complex (e.g., has parentheses), it extracts the node type, node ID, and parameters. + * @param nodeStr - The node string to parse. + * @param parentIterationId - The ID of the parent iteration node (if applicable). + * @returns A parsed node object. + */ +function parseNode(nodeStr: string, parentIterationId?: string): Node { + // Check if the node is a complex node + if (nodeStr.startsWith('(') && nodeStr.endsWith(')')) { + const innerContent = nodeStr.slice(1, -1).trim() // Remove outer parentheses + let nested = 0 + let buffer = '' + const parts: string[] = [] + + // Split the inner content by commas, respecting nested parentheses + for (let i = 0; i < innerContent.length; i++) { + const char = innerContent[i] + if (char === '(') nested++ + if (char === ')') nested-- + + if (char === ',' && nested === 0) { + parts.push(buffer.trim()) + buffer = '' + } + else { + buffer += char + } + } + parts.push(buffer.trim()) + + // Extract nodeType, nodeId, and params + const [nodeType, nodeId, ...paramsRaw] = parts + const params = parseParams(paramsRaw, nodeType === 'iteration' ? nodeId.trim() : parentIterationId) + const complexNode = { + nodeType: nodeType.trim(), + nodeId: nodeId.trim(), + params, + } + if (parentIterationId) { + (complexNode as any).iterationId = parentIterationId; + (complexNode as any).iterationIndex = 0 // Fixed as 0 + } + return complexNode + } + + // If it's not a complex node, treat it as a plain node + const plainNode: NodePlain = { nodeType: 'plain', nodeId: nodeStr.trim() } + if (parentIterationId) { + plainNode.iterationId = parentIterationId + plainNode.iterationIndex = 0 // Fixed as 0 + } + return plainNode +} + +/** + * Parses parameters of a complex node. + * Supports nested flows and complex sub-nodes. + * Adds iteration-specific metadata recursively. + * @param paramParts - The parameters string split by commas. + * @param iterationId - The ID of the iteration node, if applicable. + * @returns An array of parsed parameters (plain nodes, nested nodes, or flows). + */ +function parseParams(paramParts: string[], iterationId?: string): (Node | Node[] | number)[] { + return paramParts.map((part) => { + if (part.includes('->')) { + // Parse as a flow and return an array of nodes + return parseTopLevelFlow(part).map(node => parseNode(node, iterationId)) + } + else if (part.startsWith('(')) { + // Parse as a nested complex node + return parseNode(part, iterationId) + } + else if (!Number.isNaN(Number(part.trim()))) { + // Parse as a numeric parameter + return Number(part.trim()) + } + else { + // Parse as a plain node + return parseNode(part, iterationId) + } + }) +} + +type NodeData = { + id: string; + node_id: string; + title: string; + node_type?: string; + execution_metadata: Record<string, any>; + status: string; +} + +/** + * Converts a plain node to node data. + */ +function convertPlainNode(node: Node): NodeData[] { + return [ + { + id: node.nodeId, + node_id: node.nodeId, + title: node.nodeId, + execution_metadata: {}, + status: 'succeeded', + }, + ] +} + +/** + * Converts a retry node to node data. + */ +function convertRetryNode(node: Node): NodeData[] { + const { nodeId, iterationId, iterationIndex, params } = node as NodeComplex + const retryCount = params ? Number.parseInt(params[0] as unknown as string, 10) : 0 + const result: NodeData[] = [ + { + id: nodeId, + node_id: nodeId, + title: nodeId, + execution_metadata: {}, + status: 'succeeded', + }, + ] + + for (let i = 0; i < retryCount; i++) { + result.push({ + id: nodeId, + node_id: nodeId, + title: nodeId, + execution_metadata: iterationId ? { + iteration_id: iterationId, + iteration_index: iterationIndex || 0, + } : {}, + status: 'retry', + }) + } + + return result +} + +/** + * Converts an iteration node to node data. + */ +function convertIterationNode(node: Node): NodeData[] { + const { nodeId, params } = node as NodeComplex + const result: NodeData[] = [ + { + id: nodeId, + node_id: nodeId, + title: nodeId, + node_type: 'iteration', + status: 'succeeded', + execution_metadata: {}, + }, + ] + + params?.forEach((param: any) => { + if (Array.isArray(param)) { + param.forEach((childNode: Node) => { + const childData = convertToNodeData([childNode]) + childData.forEach((data) => { + data.execution_metadata = { + ...data.execution_metadata, + iteration_id: nodeId, + iteration_index: 0, + } + }) + result.push(...childData) + }) + } + }) + + return result +} + +/** + * Converts a parallel node to node data. + */ +function convertParallelNode(node: Node, parentParallelId?: string, parentStartNodeId?: string): NodeData[] { + const { nodeId, params } = node as NodeComplex + const result: NodeData[] = [ + { + id: nodeId, + node_id: nodeId, + title: nodeId, + execution_metadata: { + parallel_id: nodeId, + }, + status: 'succeeded', + }, + ] + + params?.forEach((param) => { + if (Array.isArray(param)) { + const startNodeId = param[0]?.nodeId + param.forEach((childNode: Node) => { + const childData = convertToNodeData([childNode]) + childData.forEach((data) => { + data.execution_metadata = { + ...data.execution_metadata, + parallel_id: nodeId, + parallel_start_node_id: startNodeId, + ...(parentParallelId && { + parent_parallel_id: parentParallelId, + parent_parallel_start_node_id: parentStartNodeId, + }), + } + }) + result.push(...childData) + }) + } + else if (param && typeof param === 'object') { + const startNodeId = param.nodeId + const childData = convertToNodeData([param]) + childData.forEach((data) => { + data.execution_metadata = { + ...data.execution_metadata, + parallel_id: nodeId, + parallel_start_node_id: startNodeId, + ...(parentParallelId && { + parent_parallel_id: parentParallelId, + parent_parallel_start_node_id: parentStartNodeId, + }), + } + }) + result.push(...childData) + } + }) + + return result +} + +/** + * Main function to convert nodes to node data. + */ +function convertToNodeData(nodes: Node[], parentParallelId?: string, parentStartNodeId?: string): NodeData[] { + const result: NodeData[] = [] + + nodes.forEach((node) => { + switch (node.nodeType) { + case 'plain': + result.push(...convertPlainNode(node)) + break + case 'retry': + result.push(...convertRetryNode(node)) + break + case 'iteration': + result.push(...convertIterationNode(node)) + break + case 'parallel': + result.push(...convertParallelNode(node, parentParallelId, parentStartNodeId)) + break + default: + throw new Error(`Unknown nodeType: ${node.nodeType}`) + } + }) + + return result +} + +export default parseDSL diff --git a/web/app/components/workflow/run/utils/format-log/index.spec.ts b/web/app/components/workflow/run/utils/format-log/index.spec.ts new file mode 100644 index 00000000000000..5ebaf8c20a8a79 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/index.spec.ts @@ -0,0 +1,10 @@ +import formatToTracingNodeList from '.' +import { simpleIterationData } from './iteration/data' +import { simpleRetryData } from './retry/data' + +describe('format api data to tracing panel data', () => { + test('integration', () => { + expect(formatToTracingNodeList(simpleIterationData.in.reverse() as any)).toEqual(simpleIterationData.expect) + expect(formatToTracingNodeList(simpleRetryData.in.reverse() as any)).toEqual(simpleRetryData.expect) + }) +}) diff --git a/web/app/components/workflow/run/utils/format-log/index.ts b/web/app/components/workflow/run/utils/format-log/index.ts new file mode 100644 index 00000000000000..4e8f6c33c23381 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/index.ts @@ -0,0 +1,27 @@ +import type { NodeTracing } from '@/types/workflow' +import formatIterationNode from './iteration' +import formatParallelNode from './parallel' +import formatRetryNode from './retry' +import formatAgentNode from './agent' +import { cloneDeep } from 'lodash-es' + +const formatToTracingNodeList = (list: NodeTracing[], t: any) => { + const allItems = cloneDeep([...list]).sort((a, b) => a.index - b.index) + /* + * First handle not change list structure node + * Because Handle struct node will put the node in different + */ + const formattedAgentList = formatAgentNode(allItems) + const formattedRetryList = formatRetryNode(formattedAgentList) // retry one node + // would change the structure of the list. Iteration and parallel can include each other. + const formattedIterationList = formatIterationNode(formattedRetryList, t) + const formattedParallelList = formatParallelNode(formattedIterationList, t) + + const result = formattedParallelList + // console.log(allItems) + // console.log(result) + + return result +} + +export default formatToTracingNodeList diff --git a/web/app/components/workflow/run/utils/format-log/iteration/index.spec.ts b/web/app/components/workflow/run/utils/format-log/iteration/index.spec.ts new file mode 100644 index 00000000000000..ca23c4d9ee6a1b --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/iteration/index.spec.ts @@ -0,0 +1,22 @@ +import format from '.' +import graphToLogStruct from '../graph-to-log-struct' + +describe('iteration', () => { + const list = graphToLogStruct('start -> (iteration, iterationNode, plainNode1 -> plainNode2)') + const [startNode, iterationNode, ...iterations] = list + const result = format(list as any, () => { }) + test('result should have no nodes in iteration node', () => { + expect((result as any).find((item: any) => !!item.execution_metadata?.iteration_id)).toBeUndefined() + }) + test('iteration should put nodes in details', () => { + expect(result as any).toEqual([ + startNode, + { + ...iterationNode, + details: [ + [iterations[0], iterations[1]], + ], + }, + ]) + }) +}) diff --git a/web/app/components/workflow/run/utils/format-log/iteration/index.ts b/web/app/components/workflow/run/utils/format-log/iteration/index.ts new file mode 100644 index 00000000000000..d51c2315e34ade --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/iteration/index.ts @@ -0,0 +1,55 @@ +import { BlockEnum } from '@/app/components/workflow/types' +import type { NodeTracing } from '@/types/workflow' +import formatParallelNode from '../parallel' +function addChildrenToIterationNode(iterationNode: NodeTracing, childrenNodes: NodeTracing[]): NodeTracing { + const details: NodeTracing[][] = [] + childrenNodes.forEach((item, index) => { + if (!item.execution_metadata) return + const { iteration_index = 0 } = item.execution_metadata + const runIndex: number = iteration_index || index + if (!details[runIndex]) + details[runIndex] = [] + + details[runIndex].push(item) + }) + return { + ...iterationNode, + details, + } +} + +const format = (list: NodeTracing[], t: any): NodeTracing[] => { + const iterationNodeIds = list + .filter(item => item.node_type === BlockEnum.Iteration) + .map(item => item.node_id) + const iterationChildrenNodeIds = list + .filter(item => item.execution_metadata?.iteration_id && iterationNodeIds.includes(item.execution_metadata.iteration_id)) + .map(item => item.node_id) + // move iteration children nodes to iteration node's details field + const result = list + .filter(item => !iterationChildrenNodeIds.includes(item.node_id)) + .map((item) => { + if (item.node_type === BlockEnum.Iteration) { + const childrenNodes = list.filter(child => child.execution_metadata?.iteration_id === item.node_id) + const error = childrenNodes.find(child => child.status === 'failed') + if (error) { + item.status = 'failed' + item.error = error.error + } + const addedChildrenList = addChildrenToIterationNode(item, childrenNodes) + // handle parallel node in iteration node + if (addedChildrenList.details && addedChildrenList.details.length > 0) { + addedChildrenList.details = addedChildrenList.details.map((row) => { + return formatParallelNode(row, t) + }) + } + return addedChildrenList + } + + return item + }) + + return result +} + +export default format diff --git a/web/app/components/workflow/run/utils/format-log/parallel/index.spec.ts b/web/app/components/workflow/run/utils/format-log/parallel/index.spec.ts new file mode 100644 index 00000000000000..d1ce052ee893ab --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/parallel/index.spec.ts @@ -0,0 +1,39 @@ +import { cloneDeep } from 'lodash-es' +import format from '.' +import graphToLogStruct from '../graph-to-log-struct' + +describe('parallel', () => { + const list = graphToLogStruct('(parallel, parallelNode, nodeA, nodeB -> nodeC)') + const [parallelNode, ...parallelDetail] = list + const parallelI18n = 'PARALLEL' + // format will change the list... + const result = format(cloneDeep(list) as any, () => parallelI18n) + + test('parallel should put nodes in details', () => { + expect(result as any).toEqual([ + { + ...parallelNode, + parallelDetail: { + isParallelStartNode: true, + parallelTitle: `${parallelI18n}-1`, + children: [ + parallelNode, + { + ...parallelDetail[0], + parallelDetail: { + branchTitle: `${parallelI18n}-1-A`, + }, + }, + { + ...parallelDetail[1], + parallelDetail: { + branchTitle: `${parallelI18n}-1-B`, + }, + }, + parallelDetail[2], + ], + }, + }, + ]) + }) +}) diff --git a/web/app/components/workflow/run/utils/format-log/parallel/index.ts b/web/app/components/workflow/run/utils/format-log/parallel/index.ts new file mode 100644 index 00000000000000..245337dc0c2ed5 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/parallel/index.ts @@ -0,0 +1,175 @@ +import { BlockEnum } from '@/app/components/workflow/types' +import type { NodeTracing } from '@/types/workflow' + +function printNodeStructure(node: NodeTracing, depth: number) { + const indent = ' '.repeat(depth) + console.log(`${indent}${node.title}`) + if (node.parallelDetail?.children) { + node.parallelDetail.children.forEach((child) => { + printNodeStructure(child, depth + 1) + }) + } +} + +function addTitle({ + list, depth, belongParallelIndexInfo, +}: { + list: NodeTracing[], + depth: number, + belongParallelIndexInfo?: string, +}, t: any) { + let branchIndex = 0 + const hasMoreThanOneParallel = list.filter(node => node.parallelDetail?.isParallelStartNode).length > 1 + list.forEach((node) => { + const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null + const parallel_start_node_id = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null + + const isNotInParallel = !parallel_id || node.node_type === BlockEnum.End + if (isNotInParallel) + return + + const isParallelStartNode = node.parallelDetail?.isParallelStartNode + + const parallelIndexLetter = (() => { + if (!isParallelStartNode || !hasMoreThanOneParallel) + return '' + + const index = 1 + list.filter(node => node.parallelDetail?.isParallelStartNode).findIndex(item => item.node_id === node.node_id) + return String.fromCharCode(64 + index) + })() + + const parallelIndexInfo = `${depth}${parallelIndexLetter}` + + if (isParallelStartNode) { + node.parallelDetail!.isParallelStartNode = true + node.parallelDetail!.parallelTitle = `${t('workflow.common.parallel')}-${parallelIndexInfo}` + } + + const isBrachStartNode = parallel_start_node_id === node.node_id + if (isBrachStartNode) { + branchIndex++ + const branchLetter = String.fromCharCode(64 + branchIndex) + if (!node.parallelDetail) { + node.parallelDetail = { + branchTitle: '', + } + } + + node.parallelDetail!.branchTitle = `${t('workflow.common.branch')}-${belongParallelIndexInfo}-${branchLetter}` + } + + if (node.parallelDetail?.children && node.parallelDetail.children.length > 0) { + addTitle({ + list: node.parallelDetail.children, + depth: depth + 1, + belongParallelIndexInfo: parallelIndexInfo, + }, t) + } + }) +} + +// list => group by parallel_id(parallel tree). +const format = (list: NodeTracing[], t: any, isPrint?: boolean): NodeTracing[] => { + if (isPrint) + console.log(list) + + const result: NodeTracing[] = [...list] + const parallelFirstNodeMap: Record<string, string> = {} + // list to tree by parent_parallel_start_node_id and branch by parallel_start_node_id. Each parallel may has more than one branch. + result.forEach((node) => { + const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null + const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null + const branchStartNodeId = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null + const parentParallelBranchStartNodeId = node.parent_parallel_start_node_id ?? node.execution_metadata?.parent_parallel_start_node_id ?? null + const isNotInParallel = !parallel_id || node.node_type === BlockEnum.End + if (isNotInParallel) + return + + const isParallelStartNode = !parallelFirstNodeMap[parallel_id] + if (isParallelStartNode) { + const selfNode = { ...node, parallelDetail: undefined } + node.parallelDetail = { + isParallelStartNode: true, + children: [selfNode], + } + parallelFirstNodeMap[parallel_id] = node.node_id + const isRootLevel = !parent_parallel_id + if (isRootLevel) + return + + const parentParallelStartNode = result.find(item => item.node_id === parentParallelBranchStartNodeId) + // append to parent parallel start node and after the same branch + if (parentParallelStartNode) { + if (!parentParallelStartNode?.parallelDetail) { + parentParallelStartNode!.parallelDetail = { + children: [], + } + } + if (parentParallelStartNode!.parallelDetail.children) { + const sameBranchNodesLastIndex = parentParallelStartNode.parallelDetail.children.findLastIndex((node) => { + const currStartNodeId = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null + return currStartNodeId === parentParallelBranchStartNodeId + }) + if (sameBranchNodesLastIndex !== -1) + parentParallelStartNode!.parallelDetail.children.splice(sameBranchNodesLastIndex + 1, 0, node) + else + parentParallelStartNode!.parallelDetail.children.push(node) + } + } + return + } + + // append to parallel start node and after the same branch + const parallelStartNode = result.find(item => item.node_id === parallelFirstNodeMap[parallel_id]) + + if (parallelStartNode && parallelStartNode.parallelDetail && parallelStartNode!.parallelDetail!.children) { + const sameBranchNodesLastIndex = parallelStartNode.parallelDetail.children.findLastIndex((node) => { + const currStartNodeId = node.parallel_start_node_id ?? node.execution_metadata?.parallel_start_node_id ?? null + return currStartNodeId === branchStartNodeId + }) + if (sameBranchNodesLastIndex !== -1) { + parallelStartNode.parallelDetail.children.splice(sameBranchNodesLastIndex + 1, 0, node) + } + else { // new branch + parallelStartNode.parallelDetail.children.push(node) + } + } + // parallelStartNode!.parallelDetail!.children.push(node) + }) + + const filteredInParallelSubNodes = result.filter((node) => { + const parallel_id = node.parallel_id ?? node.execution_metadata?.parallel_id ?? null + const isNotInParallel = !parallel_id || node.node_type === BlockEnum.End + if (isNotInParallel) + return true + + const parent_parallel_id = node.parent_parallel_id ?? node.execution_metadata?.parent_parallel_id ?? null + + if (parent_parallel_id) + return false + + const isParallelStartNode = node.parallelDetail?.isParallelStartNode + if (!isParallelStartNode) + return false + + return true + }) + + // print node structure for debug + if (isPrint) { + filteredInParallelSubNodes.forEach((node) => { + const now = Date.now() + console.log(`----- p: ${now} start -----`) + printNodeStructure(node, 0) + console.log(`----- p: ${now} end -----`) + }) + } + + addTitle({ + list: filteredInParallelSubNodes, + depth: 1, + }, t) + + return filteredInParallelSubNodes +} +export default format diff --git a/web/app/components/workflow/run/utils/format-log/retry/index.spec.ts b/web/app/components/workflow/run/utils/format-log/retry/index.spec.ts new file mode 100644 index 00000000000000..a8f46e96b1bb26 --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/retry/index.spec.ts @@ -0,0 +1,21 @@ +import format from '.' +import graphToLogStruct from '../graph-to-log-struct' + +describe('retry', () => { + // retry nodeId:1 3 times. + const steps = graphToLogStruct('start -> (retry, retryNode, 3)') + const [startNode, retryNode, ...retryDetail] = steps + const result = format(steps as any) + test('should have no retry status nodes', () => { + expect(result.find(item => (item as any).status === 'retry')).toBeUndefined() + }) + test('should put retry nodes in retryDetail', () => { + expect(result).toEqual([ + startNode, + { + ...retryNode, + retryDetail, + }, + ]) + }) +}) diff --git a/web/app/components/workflow/run/utils/format-log/retry/index.ts b/web/app/components/workflow/run/utils/format-log/retry/index.ts new file mode 100644 index 00000000000000..b8dd0bfa80613e --- /dev/null +++ b/web/app/components/workflow/run/utils/format-log/retry/index.ts @@ -0,0 +1,35 @@ +import type { NodeTracing } from '@/types/workflow' + +const format = (list: NodeTracing[]): NodeTracing[] => { + const retryNodes = list.filter((item) => { + return item.status === 'retry' + }) + + const retryNodeIds = retryNodes.map(item => item.node_id) + // move retry nodes to retryDetail + const result = list.filter((item) => { + return item.status !== 'retry' + }).map((item) => { + const { execution_metadata } = item + const isInIteration = !!execution_metadata?.iteration_id + const nodeId = item.node_id + const isRetryBelongNode = retryNodeIds.includes(nodeId) + + if (isRetryBelongNode) { + return { + ...item, + retryDetail: retryNodes.filter((node) => { + if (!isInIteration) + return node.node_id === nodeId + + // retry node in iteration + return node.node_id === nodeId && node.execution_metadata?.iteration_index === execution_metadata?.iteration_index + }), + } + } + return item + }) + return result +} + +export default format diff --git a/web/app/components/workflow/store.ts b/web/app/components/workflow/store.ts index 8e9cdbfc450bb7..6bd47eaa01ad0a 100644 --- a/web/app/components/workflow/store.ts +++ b/web/app/components/workflow/store.ts @@ -184,7 +184,7 @@ export const createWorkflowStore = () => { } return createStore<Shape>(set => ({ appId: '', - panelWidth: localStorage.getItem('workflow-node-panel-width') ? parseFloat(localStorage.getItem('workflow-node-panel-width')!) : 420, + panelWidth: localStorage.getItem('workflow-node-panel-width') ? Number.parseFloat(localStorage.getItem('workflow-node-panel-width')!) : 420, showSingleRunPanel: false, setShowSingleRunPanel: showSingleRunPanel => set(() => ({ showSingleRunPanel })), workflowRunningData: undefined, diff --git a/web/app/components/workflow/types.ts b/web/app/components/workflow/types.ts index 7c61ca98fe6be2..10df1b02b9807d 100644 --- a/web/app/components/workflow/types.ts +++ b/web/app/components/workflow/types.ts @@ -35,6 +35,7 @@ export enum BlockEnum { ListFilter = 'list-operator', IterationStart = 'iteration-start', Assigner = 'assigner', // is now named as VariableAssigner + Agent = 'agent', } export enum ControlMode { diff --git a/web/app/components/workflow/update-dsl-modal.tsx b/web/app/components/workflow/update-dsl-modal.tsx index 3eb65e68f86294..fc658064877fdc 100644 --- a/web/app/components/workflow/update-dsl-modal.tsx +++ b/web/app/components/workflow/update-dsl-modal.tsx @@ -38,6 +38,7 @@ import { ToastContext } from '@/app/components/base/toast' import { useEventEmitterContextContext } from '@/context/event-emitter' import { useStore as useAppStore } from '@/app/components/app/store' import { FILE_EXTS } from '@/app/components/base/prompt-editor/constants' +import { usePluginDependencies } from '@/app/components/workflow/plugin-dependency/hooks' type UpdateDSLModalProps = { onCancel: () => void @@ -61,6 +62,7 @@ const UpdateDSLModal = ({ const [showErrorModal, setShowErrorModal] = useState(false) const [versions, setVersions] = useState<{ importedVersion: string; systemVersion: string }>() const [importId, setImportId] = useState<string>() + const { handleCheckPluginDependencies } = usePluginDependencies() const readFile = (file: File) => { const reader = new FileReader() @@ -79,7 +81,7 @@ const UpdateDSLModal = ({ setFileContent('') } - const handleWorkflowUpdate = async (app_id: string) => { + const handleWorkflowUpdate = useCallback(async (app_id: string) => { const { graph, features, @@ -122,7 +124,7 @@ const UpdateDSLModal = ({ hash, }, } as any) - } + }, [eventEmitter]) const isCreatingRef = useRef(false) const handleImport: MouseEventHandler = useCallback(async () => { @@ -136,6 +138,7 @@ const UpdateDSLModal = ({ setLoading(true) const response = await importDSL({ mode: DSLImportMode.YAML_CONTENT, yaml_content: fileContent, app_id: appDetail.id }) const { id, status, app_id, imported_dsl_version, current_dsl_version } = response + if (status === DSLImportStatus.COMPLETED || status === DSLImportStatus.COMPLETED_WITH_WARNINGS) { if (!app_id) { notify({ type: 'error', message: t('workflow.common.importFailure') }) @@ -149,6 +152,7 @@ const UpdateDSLModal = ({ message: t(status === DSLImportStatus.COMPLETED ? 'workflow.common.importSuccess' : 'workflow.common.importWarning'), children: status === DSLImportStatus.COMPLETED_WITH_WARNINGS && t('workflow.common.importWarningDetails'), }) + await handleCheckPluginDependencies(app_id) setLoading(false) onCancel() } @@ -169,12 +173,13 @@ const UpdateDSLModal = ({ } } } + // eslint-disable-next-line unused-imports/no-unused-vars catch (e) { setLoading(false) notify({ type: 'error', message: t('workflow.common.importFailure') }) } isCreatingRef.current = false - }, [currentFile, fileContent, onCancel, notify, t, eventEmitter, appDetail, onImport]) + }, [currentFile, fileContent, onCancel, notify, t, appDetail, onImport, handleWorkflowUpdate, handleCheckPluginDependencies]) const onUpdateDSLConfirm: MouseEventHandler = async () => { try { @@ -192,6 +197,7 @@ const UpdateDSLModal = ({ return } handleWorkflowUpdate(app_id) + await handleCheckPluginDependencies(app_id) if (onImport) onImport() notify({ type: 'success', message: t('workflow.common.importSuccess') }) @@ -203,6 +209,7 @@ const UpdateDSLModal = ({ notify({ type: 'error', message: t('workflow.common.importFailure') }) } } + // eslint-disable-next-line unused-imports/no-unused-vars catch (e) { setLoading(false) notify({ type: 'error', message: t('workflow.common.importFailure') }) @@ -222,12 +229,12 @@ const UpdateDSLModal = ({ <RiCloseLine className='w-[18px] h-[18px] text-text-tertiary' /> </div> </div> - <div className='flex relative p-2 mb-2 gap-0.5 flex-grow rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-xs overflow-hidden'> - <div className='absolute top-0 left-0 w-full h-full opacity-40 bg-[linear-gradient(92deg,rgba(247,144,9,0.25)_0%,rgba(255,255,255,0.00)_100%)]' /> + <div className='flex relative p-2 mb-2 gap-0.5 grow rounded-xl border-[0.5px] border-components-panel-border bg-components-panel-bg-blur shadow-xs overflow-hidden'> + <div className='absolute top-0 left-0 w-full h-full opacity-40 bg-toast-warning-bg' /> <div className='flex p-1 justify-center items-start'> - <RiAlertFill className='w-4 h-4 flex-shrink-0 text-text-warning-secondary' /> + <RiAlertFill className='w-4 h-4 shrink-0 text-text-warning-secondary' /> </div> - <div className='flex py-1 flex-col items-start gap-0.5 flex-grow'> + <div className='flex py-1 flex-col items-start gap-0.5 grow'> <div className='text-text-primary system-xs-medium whitespace-pre-line'>{t('workflow.common.importDSLTip')}</div> <div className='flex pt-1 pb-0.5 items-start gap-1 self-stretch'> <Button @@ -275,7 +282,7 @@ const UpdateDSLModal = ({ > <div className='flex pb-4 flex-col items-start gap-2 self-stretch'> <div className='text-text-primary title-2xl-semi-bold'>{t('app.newApp.appCreateDSLErrorTitle')}</div> - <div className='flex flex-grow flex-col text-text-secondary system-md-regular'> + <div className='flex grow flex-col text-text-secondary system-md-regular'> <div>{t('app.newApp.appCreateDSLErrorPart1')}</div> <div>{t('app.newApp.appCreateDSLErrorPart2')}</div> <br /> diff --git a/web/app/components/workflow/utils.ts b/web/app/components/workflow/utils.ts index da2848277f4db4..9a24c4fce0cbaa 100644 --- a/web/app/components/workflow/utils.ts +++ b/web/app/components/workflow/utils.ts @@ -41,6 +41,7 @@ import type { ToolNodeType } from './nodes/tool/types' import type { IterationNodeType } from './nodes/iteration/types' import { CollectionType } from '@/app/components/tools/types' import { toolParametersToFormSchemas } from '@/app/components/tools/utils/to-form-schema' +import { correctProvider } from '@/utils' const WHITE = 'WHITE' const GRAY = 'GRAY' @@ -281,6 +282,18 @@ export const initialNodes = (originNodes: Node[], originEdges: Edge[]) => { iterationNodeData.error_handle_mode = iterationNodeData.error_handle_mode || ErrorHandleMode.Terminated } + // legacy provider handle + if (node.data.type === BlockEnum.LLM) + (node as any).data.model.provider = correctProvider((node as any).data.model.provider) + + if (node.data.type === BlockEnum.KnowledgeRetrieval && (node as any).data.multiple_retrieval_config.reranking_model) + (node as any).data.multiple_retrieval_config.reranking_model.provider = correctProvider((node as any).data.multiple_retrieval_config.reranking_model.provider) + + if (node.data.type === BlockEnum.QuestionClassifier) + (node as any).data.model.provider = correctProvider((node as any).data.model.provider) + + if (node.data.type === BlockEnum.ParameterExtractor) + (node as any).data.model.provider = correctProvider((node as any).data.model.provider) if (node.data.type === BlockEnum.HttpRequest && !node.data.retry_config) { node.data.retry_config = { retry_enabled: true, @@ -382,6 +395,7 @@ export const canRunBySingle = (nodeType: BlockEnum) => { || nodeType === BlockEnum.Tool || nodeType === BlockEnum.ParameterExtractor || nodeType === BlockEnum.Iteration + || nodeType === BlockEnum.Agent || nodeType === BlockEnum.DocExtractor } @@ -443,7 +457,7 @@ export const genNewNodeTitleFromOld = (oldTitle: string) => { if (match) { const title = match[1] - const num = parseInt(match[2], 10) + const num = Number.parseInt(match[2], 10) return `${title} (${num + 1})` } else { diff --git a/web/app/dev-preview/page.tsx b/web/app/dev-preview/page.tsx new file mode 100644 index 00000000000000..24631aa28ec50a --- /dev/null +++ b/web/app/dev-preview/page.tsx @@ -0,0 +1,19 @@ +'use client' + +import { ToolTipContent } from '../components/base/tooltip/content' +import { SwitchPluginVersion } from '../components/workflow/nodes/_base/components/switch-plugin-version' +import { useTranslation } from 'react-i18next' + +export default function Page() { + const { t } = useTranslation() + return <div className="p-20"> + <SwitchPluginVersion + uniqueIdentifier={'langgenius/openai:12'} + tooltip={<ToolTipContent + title={t('workflow.nodes.agent.unsupportedStrategy')} + > + {t('workflow.nodes.agent.strategyNotFoundDescAndSwitchVersion')} + </ToolTipContent>} + /> + </div> +} diff --git a/web/app/layout.tsx b/web/app/layout.tsx index da659e64678639..568afeb30de065 100644 --- a/web/app/layout.tsx +++ b/web/app/layout.tsx @@ -38,6 +38,8 @@ const LocaleLayout = ({ className="h-full select-auto color-scheme" data-api-prefix={process.env.NEXT_PUBLIC_API_PREFIX} data-pubic-api-prefix={process.env.NEXT_PUBLIC_PUBLIC_API_PREFIX} + data-marketplace-api-prefix={process.env.NEXT_PUBLIC_MARKETPLACE_API_PREFIX} + data-marketplace-url-prefix={process.env.NEXT_PUBLIC_MARKETPLACE_URL_PREFIX} data-public-edition={process.env.NEXT_PUBLIC_EDITION} data-public-support-mail-login={process.env.NEXT_PUBLIC_SUPPORT_MAIL_LOGIN} data-public-sentry-dsn={process.env.NEXT_PUBLIC_SENTRY_DSN} diff --git a/web/app/repos/[owner]/[repo]/releases/route.ts b/web/app/repos/[owner]/[repo]/releases/route.ts new file mode 100644 index 00000000000000..29b604d94b5750 --- /dev/null +++ b/web/app/repos/[owner]/[repo]/releases/route.ts @@ -0,0 +1,36 @@ +import { type NextRequest, NextResponse } from 'next/server' +import { Octokit } from '@octokit/core' +import { RequestError } from '@octokit/request-error' +import { GITHUB_ACCESS_TOKEN } from '@/config' + +type Params = { + owner: string, + repo: string, +} + +const octokit = new Octokit({ + auth: GITHUB_ACCESS_TOKEN, +}) + +export async function GET( + request: NextRequest, + { params }: { params: Promise<Params> }, +) { + const { owner, repo } = (await params) + try { + const releasesRes = await octokit.request('GET /repos/{owner}/{repo}/releases', { + owner, + repo, + headers: { + 'X-GitHub-Api-Version': '2022-11-28', + }, + }) + return NextResponse.json(releasesRes) + } + catch (error) { + if (error instanceof RequestError) + return NextResponse.json(error.response) + else + throw error + } +} diff --git a/web/app/signin/_header.tsx b/web/app/signin/_header.tsx index a9479a3fe43a1c..9d03f18ac44ded 100644 --- a/web/app/signin/_header.tsx +++ b/web/app/signin/_header.tsx @@ -3,7 +3,7 @@ import React from 'react' import { useContext } from 'use-context-selector' import Select from '@/app/components/base/select/locale' import { languages } from '@/i18n/language' -import { type Locale } from '@/i18n' +import type { Locale } from '@/i18n' import I18n from '@/context/i18n' import LogoSite from '@/app/components/base/logo/logo-site' diff --git a/web/app/signin/oneMoreStep.tsx b/web/app/signin/oneMoreStep.tsx index 8554b364c0e893..dfb8a047812bef 100644 --- a/web/app/signin/oneMoreStep.tsx +++ b/web/app/signin/oneMoreStep.tsx @@ -13,7 +13,7 @@ import { LanguagesSupported, languages } from '@/i18n/language' import { oneMoreStep } from '@/service/common' import Toast from '@/app/components/base/toast' -type IState = { +interface IState { formState: 'processing' | 'error' | 'success' | 'initial' invitation_code: string interface_language: string diff --git a/web/app/styles/globals.css b/web/app/styles/globals.css index f2aadc582099c1..573523fd480489 100644 --- a/web/app/styles/globals.css +++ b/web/app/styles/globals.css @@ -292,7 +292,7 @@ button:focus-within { line-height: 24px; } -[class*='code-'] { +[class*="code-"] { @apply font-mono; } @@ -654,7 +654,7 @@ button:focus-within { } .text-gradient { - background: linear-gradient(91.58deg, #2250F2 -29.55%, #0EBCF3 75.22%); + background: linear-gradient(91.58deg, #2250f2 -29.55%, #0ebcf3 75.22%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; background-clip: text; @@ -662,7 +662,7 @@ button:focus-within { } /* overwrite paging active dark model style */ -[class*=style_paginatio] li .text-primary-600 { +[class*="style_paginatio"] li .text-primary-600 { color: rgb(28 100 242); background-color: rgb(235 245 255); } @@ -675,8 +675,13 @@ button:focus-within { bottom: 0; } -@import '../components/base/button/index.css'; -@import '../components/base/action-button/index.css'; -@import '../components/base/modal/index.css'; +[data-theme="dark"] [data-hide-on-theme="dark"], +[data-theme="light"] [data-hide-on-theme="light"] { + display: none; +} + +@import "../components/base/button/index.css"; +@import "../components/base/action-button/index.css"; +@import "../components/base/modal/index.css"; @tailwind utilities; \ No newline at end of file diff --git a/web/config/index.ts b/web/config/index.ts index b87c027de16831..5600022ba14220 100644 --- a/web/config/index.ts +++ b/web/config/index.ts @@ -1,10 +1,11 @@ -/* eslint-disable import/no-mutable-exports */ import { InputVarType } from '@/app/components/workflow/types' import { AgentStrategy } from '@/types/app' import { PromptRole } from '@/models/debug' export let apiPrefix = '' export let publicApiPrefix = '' +export let marketplaceApiPrefix = '' +export let marketplaceUrlPrefix = '' // NEXT_PUBLIC_API_PREFIX=/console/api NEXT_PUBLIC_PUBLIC_API_PREFIX=/api npm run start if (process.env.NEXT_PUBLIC_API_PREFIX && process.env.NEXT_PUBLIC_PUBLIC_API_PREFIX) { @@ -25,10 +26,22 @@ else { // const env = domainParts.length === 2 ? 'ai' : domainParts?.[0]; apiPrefix = 'http://localhost:5001/console/api' publicApiPrefix = 'http://localhost:5001/api' // avoid browser private mode api cross origin + marketplaceApiPrefix = 'http://localhost:5002/api' +} + +if (process.env.NEXT_PUBLIC_MARKETPLACE_API_PREFIX && process.env.NEXT_PUBLIC_MARKETPLACE_URL_PREFIX) { + marketplaceApiPrefix = process.env.NEXT_PUBLIC_MARKETPLACE_API_PREFIX + marketplaceUrlPrefix = process.env.NEXT_PUBLIC_MARKETPLACE_URL_PREFIX +} +else { + marketplaceApiPrefix = globalThis.document?.body?.getAttribute('data-marketplace-api-prefix') || '' + marketplaceUrlPrefix = globalThis.document?.body?.getAttribute('data-marketplace-url-prefix') || '' } export const API_PREFIX: string = apiPrefix export const PUBLIC_API_PREFIX: string = publicApiPrefix +export const MARKETPLACE_API_PREFIX: string = marketplaceApiPrefix +export const MARKETPLACE_URL_PREFIX: string = marketplaceUrlPrefix const EDITION = process.env.NEXT_PUBLIC_EDITION || globalThis.document?.body?.getAttribute('data-public-edition') || 'SELF_HOSTED' export const IS_CE_EDITION = EDITION === 'SELF_HOSTED' @@ -251,12 +264,15 @@ export const resetReg = () => VAR_REGEX.lastIndex = 0 export let textGenerationTimeoutMs = 60000 if (process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS && process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS !== '') - textGenerationTimeoutMs = parseInt(process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS) + textGenerationTimeoutMs = Number.parseInt(process.env.NEXT_PUBLIC_TEXT_GENERATION_TIMEOUT_MS) else if (globalThis.document?.body?.getAttribute('data-public-text-generation-timeout-ms') && globalThis.document.body.getAttribute('data-public-text-generation-timeout-ms') !== '') - textGenerationTimeoutMs = parseInt(globalThis.document.body.getAttribute('data-public-text-generation-timeout-ms') as string) + textGenerationTimeoutMs = Number.parseInt(globalThis.document.body.getAttribute('data-public-text-generation-timeout-ms') as string) export const TEXT_GENERATION_TIMEOUT_MS = textGenerationTimeoutMs export const DISABLE_UPLOAD_IMAGE_AS_ICON = process.env.NEXT_PUBLIC_DISABLE_UPLOAD_IMAGE_AS_ICON === 'true' +export const GITHUB_ACCESS_TOKEN = process.env.NEXT_PUBLIC_GITHUB_ACCESS_TOKEN || '' + +export const SUPPORT_INSTALL_LOCAL_FILE_EXTENSIONS = '.difypkg,.difybndl' export const FULL_DOC_PREVIEW_LENGTH = 50 diff --git a/web/context/app-context.tsx b/web/context/app-context.tsx index 7addfb83d45c66..3d6acc55a3b189 100644 --- a/web/context/app-context.tsx +++ b/web/context/app-context.tsx @@ -66,6 +66,7 @@ const AppContext = createContext<AppContextValue>({ name: '', email: '', avatar: '', + avatar_url: '', is_password_set: false, }, currentWorkspace: initialWorkspaceInfo, diff --git a/web/context/modal-context.tsx b/web/context/modal-context.tsx index 2dfc08cf883c5b..622077ee91a4ad 100644 --- a/web/context/modal-context.tsx +++ b/web/context/modal-context.tsx @@ -31,6 +31,8 @@ import ModelLoadBalancingModal from '@/app/components/header/account-setting/mod import OpeningSettingModal from '@/app/components/base/features/new-feature-panel/conversation-opener/modal' import type { OpeningStatement } from '@/app/components/base/features/types' import type { InputVar } from '@/app/components/workflow/types' +import type { UpdatePluginPayload } from '@/app/components/plugins/types' +import UpdatePlugin from '@/app/components/plugins/update-plugin' export type ModalState<T> = { payload: T @@ -52,6 +54,7 @@ export type LoadBalancingEntryModalType = ModelModalType & { entry?: ModelLoadBalancingConfigEntry index?: number } + export type ModalContextState = { setShowAccountSettingModal: Dispatch<SetStateAction<ModalState<string> | null>> setShowApiBasedExtensionModal: Dispatch<SetStateAction<ModalState<ApiBasedExtension> | null>> @@ -68,6 +71,7 @@ export type ModalContextState = { workflowVariables?: InputVar[] onAutoAddPromptVariable?: (variable: PromptVariable[]) => void }> | null>> + setShowUpdatePluginModal: Dispatch<SetStateAction<ModalState<UpdatePluginPayload> | null>> } const ModalContext = createContext<ModalContextState>({ setShowAccountSettingModal: () => { }, @@ -81,13 +85,13 @@ const ModalContext = createContext<ModalContextState>({ setShowModelLoadBalancingModal: () => { }, setShowModelLoadBalancingEntryModal: () => { }, setShowOpeningModal: () => { }, + setShowUpdatePluginModal: () => { }, }) export const useModalContext = () => useContext(ModalContext) // Adding a dangling comma to avoid the generic parsing issue in tsx, see: // https://github.com/microsoft/TypeScript/issues/15713 -// eslint-disable-next-line @typescript-eslint/comma-dangle export const useModalContextSelector = <T,>(selector: (state: ModalContextState) => T): T => useContextSelector(ModalContext, selector) @@ -110,6 +114,8 @@ export const ModalContextProvider = ({ workflowVariables?: InputVar[] onAutoAddPromptVariable?: (variable: PromptVariable[]) => void }> | null>(null) + const [showUpdatePluginModal, setShowUpdatePluginModal] = useState<ModalState<UpdatePluginPayload> | null>(null) + const searchParams = useSearchParams() const router = useRouter() const [showPricingModal, setShowPricingModal] = useState(searchParams.get('show-pricing') === '1') @@ -229,6 +235,7 @@ export const ModalContextProvider = ({ setShowModelLoadBalancingModal, setShowModelLoadBalancingEntryModal, setShowOpeningModal, + setShowUpdatePluginModal, }}> <> {children} @@ -339,6 +346,22 @@ export const ModalContextProvider = ({ onAutoAddPromptVariable={showOpeningModal.payload.onAutoAddPromptVariable} /> )} + + { + !!showUpdatePluginModal && ( + <UpdatePlugin + {...showUpdatePluginModal.payload} + onCancel={() => { + setShowUpdatePluginModal(null) + showUpdatePluginModal.onCancelCallback?.() + }} + onSave={() => { + setShowUpdatePluginModal(null) + showUpdatePluginModal.onSaveCallback?.({} as any) + }} + /> + ) + } </> </ModalContext.Provider> ) diff --git a/web/context/provider-context.tsx b/web/context/provider-context.tsx index 913a95d6a1d9bc..0ac81278a24f77 100644 --- a/web/context/provider-context.tsx +++ b/web/context/provider-context.tsx @@ -25,6 +25,7 @@ import Toast from '@/app/components/base/toast' type ProviderContextState = { modelProviders: ModelProvider[] + refreshModelProviders: () => void textGenerationModelList: Model[] supportRetrievalMethods: RETRIEVE_METHOD[] isAPIKeySet: boolean @@ -42,6 +43,7 @@ type ProviderContextState = { } const ProviderContext = createContext<ProviderContextState>({ modelProviders: [], + refreshModelProviders: () => { }, textGenerationModelList: [], supportRetrievalMethods: [], isAPIKeySet: true, @@ -74,7 +76,6 @@ export const useProviderContext = () => useContext(ProviderContext) // Adding a dangling comma to avoid the generic parsing issue in tsx, see: // https://github.com/microsoft/TypeScript/issues/15713 -// eslint-disable-next-line @typescript-eslint/comma-dangle export const useProviderContextSelector = <T,>(selector: (state: ProviderContextState) => T): T => useContextSelector(ProviderContext, selector) @@ -84,7 +85,7 @@ type ProviderContextProviderProps = { export const ProviderContextProvider = ({ children, }: ProviderContextProviderProps) => { - const { data: providersData } = useSWR('/workspaces/current/model-providers', fetchModelProviders) + const { data: providersData, mutate: refreshModelProviders } = useSWR('/workspaces/current/model-providers', fetchModelProviders) const fetchModelListUrlPrefix = '/workspaces/current/models/model-types/' const { data: textGenerationModelList } = useSWR(`${fetchModelListUrlPrefix}${ModelTypeEnum.textGeneration}`, fetchModelList) const { data: supportRetrievalMethods } = useSWR('/datasets/retrieval-setting', fetchSupportRetrievalMethods) @@ -143,6 +144,7 @@ export const ProviderContextProvider = ({ return ( <ProviderContext.Provider value={{ modelProviders: providersData?.data || [], + refreshModelProviders, textGenerationModelList: textGenerationModelList?.data || [], isAPIKeySet: !!textGenerationModelList?.data.some(model => model.status === ModelStatusEnum.active), supportRetrievalMethods: supportRetrievalMethods?.retrieval_method || [], diff --git a/web/docker/entrypoint.sh b/web/docker/entrypoint.sh index bad95b6cbe43b7..409916b27c1a69 100755 --- a/web/docker/entrypoint.sh +++ b/web/docker/entrypoint.sh @@ -16,6 +16,8 @@ export NEXT_PUBLIC_DEPLOY_ENV=${DEPLOY_ENV} export NEXT_PUBLIC_EDITION=${EDITION} export NEXT_PUBLIC_API_PREFIX=${CONSOLE_API_URL}/console/api export NEXT_PUBLIC_PUBLIC_API_PREFIX=${APP_API_URL}/api +export NEXT_PUBLIC_MARKETPLACE_API_PREFIX=${MARKETPLACE_API_URL}/api/v1 +export NEXT_PUBLIC_MARKETPLACE_URL_PREFIX=${MARKETPLACE_URL} export NEXT_PUBLIC_SENTRY_DSN=${SENTRY_DSN} export NEXT_PUBLIC_SITE_ABOUT=${SITE_ABOUT} diff --git a/web/eslint.config.mjs b/web/eslint.config.mjs new file mode 100644 index 00000000000000..58dec4999ee042 --- /dev/null +++ b/web/eslint.config.mjs @@ -0,0 +1,183 @@ +import { + GLOB_TESTS, combine, javascript, node, + stylistic, typescript, unicorn, +} from '@antfu/eslint-config' +import path from 'node:path' +import { fileURLToPath } from 'node:url' +import js from '@eslint/js' +import { FlatCompat } from '@eslint/eslintrc' +import globals from 'globals' +import storybook from 'eslint-plugin-storybook' +import { fixupConfigRules } from '@eslint/compat' +import tailwind from 'eslint-plugin-tailwindcss' + +const __filename = fileURLToPath(import.meta.url) +const __dirname = path.dirname(__filename) +const compat = new FlatCompat({ + baseDirectory: __dirname, + recommendedConfig: js.configs.recommended, + allConfig: js.configs.all, +}) + +export default combine( + stylistic({ + lessOpinionated: true, + // original @antfu/eslint-config does not support jsx + jsx: false, + semi: false, + quotes: 'single', + overrides: { + // original config + 'style/indent': ['error', 2], + 'style/quotes': ['error', 'single'], + 'curly': ['error', 'multi-or-nest', 'consistent'], + 'style/comma-spacing': ['error', { before: false, after: true }], + 'style/quote-props': ['warn', 'consistent-as-needed'], + + // these options does not exist in old version + // maybe useless + 'style/indent-binary-ops': 'off', + 'style/multiline-ternary': 'off', + 'antfu/top-level-function': 'off', + 'antfu/curly': 'off', + 'antfu/consistent-chaining': 'off', + + // copy from eslint-config-antfu 0.36.0 + 'style/brace-style': ['error', 'stroustrup', { allowSingleLine: true }], + 'style/dot-location': ['error', 'property'], + 'style/object-curly-newline': ['error', { consistent: true, multiline: true }], + 'style/object-property-newline': ['error', { allowMultiplePropertiesPerLine: true }], + 'style/template-curly-spacing': ['error', 'never'], + 'style/keyword-spacing': 'off', + + // not exist in old version, and big change + 'style/member-delimiter-style': 'off', + }, + }), + javascript({ + overrides: { + // handled by unused-imports/no-unused-vars + 'no-unused-vars': 'off', + }, + }), + typescript({ + overrides: { + // original config + 'ts/consistent-type-definitions': ['warn', 'type'], + + // useful, but big change + 'ts/no-empty-object-type': 'off', + }, + }), + unicorn(), + node(), + // use nextjs config will break @eslint/config-inspector + // use `ESLINT_CONFIG_INSPECTOR=true pnpx @eslint/config-inspector` to check the config + ...process.env.ESLINT_CONFIG_INSPECTOR + ? [] + // TODO: remove this when upgrade to nextjs 15 + : fixupConfigRules(compat.extends('next')), + { + rules: { + // performance issue, and not used. + '@next/next/no-html-link-for-pages': 'off', + }, + }, + { + ignores: [ + '**/node_modules/*', + '**/node_modules/', + '**/dist/', + '**/build/', + '**/out/', + '**/.next/', + '**/public/*', + '**/*.json', + ], + }, + { + // orignal config + rules: { + // orignal ts/no-var-requires + 'ts/no-require-imports': 'off', + 'no-console': 'off', + 'react-hooks/exhaustive-deps': 'warn', + 'react/display-name': 'off', + 'array-callback-return': ['error', { + allowImplicit: false, + checkForEach: false, + }], + + // copy from eslint-config-antfu 0.36.0 + 'camelcase': 'off', + 'default-case-last': 'error', + + // antfu use eslint-plugin-perfectionist to replace this + // will cause big change, so keep the original sort-imports + 'sort-imports': [ + 'error', + { + ignoreCase: false, + ignoreDeclarationSort: true, + ignoreMemberSort: false, + memberSyntaxSortOrder: ['none', 'all', 'multiple', 'single'], + allowSeparatedGroups: false, + }, + ], + + // antfu migrate to eslint-plugin-unused-imports + 'unused-imports/no-unused-vars': 'warn', + 'unused-imports/no-unused-imports': 'warn', + }, + + languageOptions: { + globals: { + ...globals.browser, + ...globals.es2025, + ...globals.node, + React: 'readable', + JSX: 'readable', + }, + }, + }, + storybook.configs['flat/recommended'], + // need futher research + { + rules: { + // not exist in old version + 'antfu/consistent-list-newline': 'off', + 'node/prefer-global/process': 'off', + 'node/prefer-global/buffer': 'off', + 'node/no-callback-literal': 'off', + + // useful, but big change + 'unicorn/prefer-number-properties': 'warn', + 'unicorn/no-new-array': 'warn', + }, + }, + // suppress error for `no-undef` rule + { + files: GLOB_TESTS, + languageOptions: { + globals: { + ...globals.browser, + ...globals.es2021, + ...globals.node, + ...globals.jest, + }, + }, + }, + tailwind.configs['flat/recommended'], + { + rules: { + // due to 1k lines of tailwind config, these rule have performance issue + 'tailwindcss/no-contradicting-classname': 'off', + 'tailwindcss/no-unnecessary-arbitrary-value': 'off', + 'tailwindcss/enforces-shorthand': 'off', + 'tailwindcss/no-custom-classname': 'off', + + // in the future + 'tailwindcss/classnames-order': 'off', + }, + }, +) diff --git a/web/hooks/use-i18n.ts b/web/hooks/use-i18n.ts new file mode 100644 index 00000000000000..d95ef0d114408f --- /dev/null +++ b/web/hooks/use-i18n.ts @@ -0,0 +1,15 @@ +import { useLanguage } from '@/app/components/header/account-setting/model-provider-page/hooks' + +export const renderI18nObject = (obj: Record<string, string>, language: string) => { + if (!obj) return '' + if (obj?.[language]) return obj[language] + if (obj?.en_US) return obj.en_US + return Object.values(obj)[0] +} + +export const useRenderI18nObject = () => { + const language = useLanguage() + return (obj: Record<string, string>) => { + return renderI18nObject(obj, language) + } +} diff --git a/web/hooks/use-metadata.ts b/web/hooks/use-metadata.ts index 92eb733e359aa2..9a078e639ad3d0 100644 --- a/web/hooks/use-metadata.ts +++ b/web/hooks/use-metadata.ts @@ -9,22 +9,22 @@ export type metadataType = DocType | 'originInfo' | 'technicalParameters' type MetadataMap = Record< - metadataType, - { - text: string - allowEdit?: boolean - icon?: React.ReactNode - iconName?: string - subFieldsMap: Record< - string, + metadataType, { - label: string - inputType?: inputType - field?: string - render?: (value: any, total?: number) => React.ReactNode | string + text: string + allowEdit?: boolean + icon?: React.ReactNode + iconName?: string + subFieldsMap: Record< + string, + { + label: string + inputType?: inputType + field?: string + render?: (value: any, total?: number) => React.ReactNode | string + } + > } - > - } > const fieldPrefix = 'datasetDocuments.metadata.field' diff --git a/web/hooks/use-mitt.ts b/web/hooks/use-mitt.ts new file mode 100644 index 00000000000000..b9094bc262851b --- /dev/null +++ b/web/hooks/use-mitt.ts @@ -0,0 +1,74 @@ +import type { Emitter, EventType, Handler, WildcardHandler } from 'mitt' +import create from 'mitt' +import { useEffect, useRef } from 'react' + +const merge = <T extends Record<string, any>>( + ...args: Array<T | undefined> +): T => { + return Object.assign({}, ...args) +} + +export type _Events = Record<EventType, unknown> + +export type UseSubcribeOption = { + /** + * Whether the subscription is enabled. + * @default true + */ + enabled: boolean; +} + +export type ExtendedOn<Events extends _Events> = { + <Key extends keyof Events>( + type: Key, + handler: Handler<Events[Key]>, + options?: UseSubcribeOption, + ): void; + ( + type: '*', + handler: WildcardHandler<Events>, + option?: UseSubcribeOption, + ): void; +} + +export type UseMittReturn<Events extends _Events> = { + useSubcribe: ExtendedOn<Events>; + emit: Emitter<Events>['emit']; +} + +const defaultSubcribeOption: UseSubcribeOption = { + enabled: true, +} + +function useMitt<Events extends _Events>( + mitt?: Emitter<Events>, +): UseMittReturn<Events> { + const emitterRef = useRef<Emitter<Events>>() + if (!emitterRef.current) + emitterRef.current = mitt ?? create<Events>() + + if (mitt && emitterRef.current !== mitt) { + emitterRef.current.off('*') + emitterRef.current = mitt + } + const emitter = emitterRef.current + const useSubcribe: ExtendedOn<Events> = ( + type: string, + handler: any, + option?: UseSubcribeOption, + ) => { + const { enabled } = merge(defaultSubcribeOption, option) + useEffect(() => { + if (enabled) { + emitter.on(type, handler) + return () => emitter.off(type, handler) + } + }) + } + return { + emit: emitter.emit, + useSubcribe, + } +} + +export { useMitt } diff --git a/web/hooks/use-pay.tsx b/web/hooks/use-pay.tsx index 344f03955cfcc6..3ba23b67630a91 100644 --- a/web/hooks/use-pay.tsx +++ b/web/hooks/use-pay.tsx @@ -4,11 +4,8 @@ import { useCallback, useEffect, useState } from 'react' import { useRouter, useSearchParams } from 'next/navigation' import { useTranslation } from 'react-i18next' import useSWR from 'swr' -import { useContext } from 'use-context-selector' -import I18n from '@/context/i18n' import { fetchDataSourceNotionBinding, - fetchFreeQuotaVerify, } from '@/service/common' import type { IConfirm } from '@/app/components/base/confirm' import Confirm from '@/app/components/base/confirm' @@ -53,66 +50,6 @@ export const useBillingPay = () => { return confirm } -const QUOTA_RECEIVE_STATUS: Record<string, any> = { - spark: { - success: { - 'en': 'Successful collection, the quota will be automatically increased after 5 minutes.', - 'zh-Hans': '领取成功，将在 5 分钟后自动增加配额', - }, - fail: { - 'en': 'Failure to collect', - 'zh-Hans': '领取失败', - }, - }, - zhipuai: { - success: { - 'en': 'Successful collection', - 'zh-Hans': '领取成功', - }, - fail: { - 'en': 'Failure to collect', - 'zh-Hans': '领取失败', - }, - }, -} - -const FREE_CHECK_PROVIDER = ['spark', 'zhipuai'] -export const useCheckFreeQuota = () => { - const { locale } = useContext(I18n) - const router = useRouter() - const [shouldVerify, setShouldVerify] = useState(false) - const searchParams = useSearchParams() - const type = searchParams.get('type') - const provider = searchParams.get('provider') - const result = searchParams.get('result') - const token = searchParams.get('token') - - const { data, error } = useSWR( - shouldVerify - ? `/workspaces/current/model-providers/${provider}/free-quota-qualification-verify?token=${token}` - : null, - fetchFreeQuotaVerify, - ) - - useEffect(() => { - if (error) - router.replace('/') - }, [error, router]) - - useEffect(() => { - if (type === 'provider_apply_callback' && FREE_CHECK_PROVIDER.includes(provider as string) && result === 'success') - setShouldVerify(true) - }, [type, provider, result]) - - return (data && provider) - ? { - type: data.flag ? 'info' : 'warning', - title: data.flag ? QUOTA_RECEIVE_STATUS[provider as string].success[locale] : QUOTA_RECEIVE_STATUS[provider].fail[locale], - desc: !data.flag ? data.reason : undefined, - } - : null -} - export const useCheckNotion = () => { const router = useRouter() const [confirm, setConfirm] = useState<ConfirmType | null>(null) @@ -154,7 +91,6 @@ export const CheckModal = () => { const { t } = useTranslation() const [showPayStatusModal, setShowPayStatusModal] = useState(true) const anthropicConfirmInfo = useAnthropicCheckPay() - const freeQuotaConfirmInfo = useCheckFreeQuota() const notionConfirmInfo = useCheckNotion() const billingConfirmInfo = useBillingPay() @@ -163,7 +99,7 @@ export const CheckModal = () => { router.replace('/') }, [router]) - const confirmInfo = anthropicConfirmInfo || freeQuotaConfirmInfo || notionConfirmInfo || billingConfirmInfo + const confirmInfo = anthropicConfirmInfo || notionConfirmInfo || billingConfirmInfo if (!confirmInfo || !showPayStatusModal) return null @@ -176,7 +112,7 @@ export const CheckModal = () => { showCancel={false} type={confirmInfo.type === 'info' ? 'info' : 'warning' } title={confirmInfo.title} - content={(confirmInfo as { desc: string }).desc || ''} + content={(confirmInfo as unknown as { desc: string }).desc || ''} confirmText={(confirmInfo.type === 'info' && t('common.operation.ok')) || ''} /> ) diff --git a/web/hooks/use-timestamp.ts b/web/hooks/use-timestamp.ts index 05cc48eaad846a..5242eb565a4adb 100644 --- a/web/hooks/use-timestamp.ts +++ b/web/hooks/use-timestamp.ts @@ -15,7 +15,11 @@ const useTimestamp = () => { return dayjs.unix(value).tz(timezone).format(format) }, [timezone]) - return { formatTime } + const formatDate = useCallback((value: string, format: string) => { + return dayjs(value).tz(timezone).format(format) + }, [timezone]) + + return { formatTime, formatDate } } export default useTimestamp diff --git a/web/i18n/de-DE/plugin-tags.ts b/web/i18n/de-DE/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/de-DE/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/de-DE/plugin.ts b/web/i18n/de-DE/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/de-DE/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/en-US/app-debug.ts b/web/i18n/en-US/app-debug.ts index 9c1b8838715bb6..6d9e6d9a452e42 100644 --- a/web/i18n/en-US/app-debug.ts +++ b/web/i18n/en-US/app-debug.ts @@ -103,7 +103,7 @@ const translation = { edit: 'Edit annotation', }, dataSet: { - title: 'Context', + title: 'Knowledge', noData: 'You can import Knowledge as context', words: 'Words', textBlocks: 'Text Blocks', diff --git a/web/i18n/en-US/app.ts b/web/i18n/en-US/app.ts index 343b01e9b5d347..27279130b1f48d 100644 --- a/web/i18n/en-US/app.ts +++ b/web/i18n/en-US/app.ts @@ -173,6 +173,12 @@ const translation = { removeConfirmContent: 'The current configuration is in use, removing it will turn off the Tracing feature.', }, }, + appSelector: { + label: 'APP', + placeholder: 'Select an app...', + params: 'APP PARAMETERS', + noParams: 'No parameters needed', + }, showMyCreatedAppsOnly: 'Created by me', } diff --git a/web/i18n/en-US/common.ts b/web/i18n/en-US/common.ts index 76f0c2e54b430d..0be14d0587fb0d 100644 --- a/web/i18n/en-US/common.ts +++ b/web/i18n/en-US/common.ts @@ -23,9 +23,11 @@ const translation = { remove: 'Remove', send: 'Send', copy: 'Copy', + copied: 'Copied', lineBreak: 'Line break', sure: 'I\'m sure', download: 'Download', + viewDetails: 'View Details', delete: 'Delete', deleteApp: 'Delete App', settings: 'Settings', @@ -39,13 +41,14 @@ const translation = { duplicate: 'Duplicate', rename: 'Rename', audioSourceUnavailable: 'AudioSource is unavailable', + close: 'Close', copyImage: 'Copy Image', imageCopied: 'Image copied', zoomOut: 'Zoom Out', zoomIn: 'Zoom In', openInNewTab: 'Open in new tab', + in: 'in', saveAndRegenerate: 'Save & Regenerate Child Chunks', - close: 'Close', view: 'View', viewMore: 'VIEW MORE', regenerate: 'Regenerate', @@ -127,12 +130,15 @@ const translation = { Custom: 'Custom', }, addMoreModel: 'Go to settings to add more models', + settingsLink: 'Model Provider Settings', + capabilities: 'MultiModal Capabilities', }, menus: { status: 'beta', explore: 'Explore', apps: 'Studio', plugins: 'Plugins', + exploreMarketplace: 'Explore Marketplace', pluginsTips: 'Integrate third-party plugins or create ChatGPT-compatible AI-Plugins.', datasets: 'Knowledge', datasetsTips: 'COMING SOON: Import your own text data or write data in real-time via Webhook for LLM context enhancement.', @@ -155,6 +161,7 @@ const translation = { settings: { accountGroup: 'GENERAL', workplaceGroup: 'WORKSPACE', + generalGroup: 'GENERAL', account: 'My account', members: 'Members', billing: 'Billing', @@ -304,7 +311,7 @@ const translation = { }, }, modelProvider: { - notConfigured: 'The system model has not yet been fully configured, and some functions may be unavailable.', + notConfigured: 'The system model has not yet been fully configured', systemModelSettings: 'System Model Settings', systemModelSettingsLink: 'Why is it necessary to set up a system model?', selectModel: 'Select your model', @@ -402,6 +409,12 @@ const translation = { loadBalancingLeastKeyWarning: 'To enable load balancing at least 2 keys must be enabled.', loadBalancingInfo: 'By default, load balancing uses the Round-robin strategy. If rate limiting is triggered, a 1-minute cooldown period will be applied.', upgradeForLoadBalancing: 'Upgrade your plan to enable Load Balancing.', + toBeConfigured: 'To be configured', + configureTip: 'Set up api-key or add model to use', + installProvider: 'Install model providers', + discoverMore: 'Discover more in ', + emptyProviderTitle: 'Model provider not set up', + emptyProviderTip: 'Please install a model provider first.', }, dataSource: { add: 'Add a data source', diff --git a/web/i18n/en-US/dataset-creation.ts b/web/i18n/en-US/dataset-creation.ts index 8490896e3b9b82..0ee75c2faacc16 100644 --- a/web/i18n/en-US/dataset-creation.ts +++ b/web/i18n/en-US/dataset-creation.ts @@ -1,8 +1,7 @@ const translation = { steps: { header: { - creation: 'Create Knowledge', - update: 'Add data', + fallbackRoute: 'Knowledge', }, one: 'Data Source', two: 'Document Processing', diff --git a/web/i18n/en-US/plugin-tags.ts b/web/i18n/en-US/plugin-tags.ts new file mode 100644 index 00000000000000..d2177b28489d32 --- /dev/null +++ b/web/i18n/en-US/plugin-tags.ts @@ -0,0 +1,25 @@ +const translation = { + allTags: 'All Tags', + searchTags: 'Search Tags', + tags: { + agent: 'Agent', + search: 'Search', + image: 'Image', + videos: 'Videos', + weather: 'Weather', + finance: 'Finance', + design: 'Design', + travel: 'Travel', + social: 'Social', + news: 'News', + medical: 'Medical', + productivity: 'Productivity', + education: 'Education', + business: 'Business', + entertainment: 'Entertainment', + utilities: 'Utilities', + other: 'Other', + }, +} + +export default translation diff --git a/web/i18n/en-US/plugin.ts b/web/i18n/en-US/plugin.ts new file mode 100644 index 00000000000000..f302d81c47e171 --- /dev/null +++ b/web/i18n/en-US/plugin.ts @@ -0,0 +1,209 @@ +const translation = { + category: { + all: 'All', + models: 'Models', + tools: 'Tools', + agents: 'Agent Strategies', + extensions: 'Extensions', + bundles: 'Bundles', + }, + categorySingle: { + model: 'Model', + tool: 'Tool', + agent: 'Agent Strategy', + extension: 'Extension', + bundle: 'Bundle', + }, + search: 'Search', + allCategories: 'All Categories', + searchCategories: 'Search Categories', + searchPlugins: 'Search plugins', + from: 'From', + findMoreInMarketplace: 'Find more in Marketplace', + searchInMarketplace: 'Search in Marketplace', + fromMarketplace: 'From Marketplace', + endpointsEnabled: '{{num}} sets of endpoints enabled', + searchTools: 'Search tools...', + installPlugin: 'Install plugin', + installFrom: 'INSTALL FROM', + list: { + noInstalled: 'No plugins installed', + notFound: 'No plugins found', + source: { + marketplace: 'Install from Marketplace', + github: 'Install from GitHub', + local: 'Install from Local Package File', + }, + }, + source: { + marketplace: 'Marketplace', + github: 'GitHub', + local: 'Local Package File', + }, + detailPanel: { + switchVersion: 'Switch Version', + categoryTip: { + marketplace: 'Installed from Marketplace', + github: 'Installed from Github', + local: 'Local Plugin', + debugging: 'Debugging Plugin', + }, + operation: { + install: 'Install', + detail: 'Details', + update: 'Update', + info: 'Plugin Info', + checkUpdate: 'Check Update', + viewDetail: 'View Detail', + remove: 'Remove', + }, + actionNum: '{{num}} {{action}} INCLUDED', + strategyNum: '{{num}} {{strategy}} INCLUDED', + endpoints: 'Endpoints', + endpointsTip: 'This plugin provides specific functionalities via endpoints, and you can configure multiple endpoint sets for current workspace.', + endpointsDocLink: 'View the document', + endpointsEmpty: 'Click the \'+\' button to add an endpoint', + endpointDisableTip: 'Disable Endpoint', + endpointDisableContent: 'Would you like to disable {{name}}? ', + endpointDeleteTip: 'Remove Endpoint', + endpointDeleteContent: 'Would you like to remove {{name}}? ', + endpointModalTitle: 'Setup endpoint', + endpointModalDesc: 'Once configured, the features provided by the plugin via API endpoints can be used.', + serviceOk: 'Service OK', + disabled: 'Disabled', + modelNum: '{{num}} MODELS INCLUDED', + toolSelector: { + title: 'Add tool', + toolLabel: 'Tool', + descriptionLabel: 'Tool description', + descriptionPlaceholder: 'Brief description of the tool\'s purpose, e.g., get the temperature for a specific location.', + placeholder: 'Select a tool...', + settings: 'USER SETTINGS', + params: 'REASONING CONFIG', + paramsTip1: 'Controls LLM inference parameters.', + paramsTip2: 'When \'Automatic\' is off, the default value is used.', + auto: 'Automatic', + empty: 'Click the \'+\' button to add tools. You can add multiple tools.', + uninstalledTitle: 'Tool not installed', + uninstalledContent: 'This plugin is installed from the local/GitHub repository. Please use after installation.', + uninstalledLink: 'Manage in Plugins', + unsupportedTitle: 'Unsupported Action', + unsupportedContent: 'The installed plugin version does not provide this action.', + unsupportedContent2: 'Click to switch version.', + }, + configureApp: 'Configure App', + configureModel: 'Configure model', + configureTool: 'Configure tool', + }, + install: '{{num}} installs', + installAction: 'Install', + debugInfo: { + title: 'Debugging', + viewDocs: 'View Docs', + }, + privilege: { + title: 'Plugin Preferences', + whoCanInstall: 'Who can install and manage plugins?', + whoCanDebug: 'Who can debug plugins?', + everyone: 'Everyone', + admins: 'Admins', + noone: 'No one', + }, + pluginInfoModal: { + title: 'Plugin info', + repository: 'Repository', + release: 'Release', + packageName: 'Package', + }, + action: { + checkForUpdates: 'Check for updates', + pluginInfo: 'Plugin info', + delete: 'Remove plugin', + deleteContentLeft: 'Would you like to remove ', + deleteContentRight: ' plugin?', + usedInApps: 'This plugin is being used in {{num}} apps.', + }, + installModal: { + installPlugin: 'Install Plugin', + installComplete: 'Installation complete', + installedSuccessfully: 'Installation successful', + installedSuccessfullyDesc: 'The plugin has been installed successfully.', + uploadFailed: 'Upload failed', + installFailed: 'Installation failed', + installFailedDesc: 'The plugin has been installed failed.', + install: 'Install', + installing: 'Installing...', + uploadingPackage: 'Uploading {{packageName}}...', + readyToInstall: 'About to install the following plugin', + readyToInstallPackage: 'About to install the following plugin', + readyToInstallPackages: 'About to install the following {{num}} plugins', + fromTrustSource: 'Please make sure that you only install plugins from a <trustSource>trusted source</trustSource>.', + dropPluginToInstall: 'Drop plugin package here to install', + labels: { + repository: 'Repository', + version: 'Version', + package: 'Package', + }, + close: 'Close', + cancel: 'Cancel', + back: 'Back', + next: 'Next', + pluginLoadError: 'Plugin load error', + pluginLoadErrorDesc: 'This plugin will not be installed', + }, + installFromGitHub: { + installPlugin: 'Install plugin from GitHub', + updatePlugin: 'Update plugin from GitHub', + installedSuccessfully: 'Installation successful', + installFailed: 'Installation failed', + uploadFailed: 'Upload failed', + gitHubRepo: 'GitHub repository', + selectVersion: 'Select version', + selectVersionPlaceholder: 'Please select a version', + installNote: 'Please make sure that you only install plugins from a trusted source.', + selectPackage: 'Select package', + selectPackagePlaceholder: 'Please select a package', + }, + upgrade: { + title: 'Install Plugin', + successfulTitle: 'Install successful', + description: 'About to install the following plugin', + usedInApps: 'Used in {{num}} apps', + upgrade: 'Install', + upgrading: 'Installing...', + close: 'Close', + }, + error: { + inValidGitHubUrl: 'Invalid GitHub URL. Please enter a valid URL in the format: https://github.com/owner/repo', + fetchReleasesError: 'Unable to retrieve releases. Please try again later.', + noReleasesFound: 'No releases found. Please check the GitHub repository or the input URL.', + }, + marketplace: { + empower: 'Empower your AI development', + discover: 'Discover', + and: 'and', + difyMarketplace: 'Dify Marketplace', + moreFrom: 'More from Marketplace', + noPluginFound: 'No plugin found', + pluginsResult: '{{num}} results', + sortBy: 'Sort by', + sortOption: { + mostPopular: 'Most Popular', + recentlyUpdated: 'Recently Updated', + newlyReleased: 'Newly Released', + firstReleased: 'First Released', + }, + viewMore: 'View more', + }, + task: { + installing: 'Installing {{installingLength}} plugins, 0 done.', + installingWithSuccess: 'Installing {{installingLength}} plugins, {{successLength}} success.', + installingWithError: 'Installing {{installingLength}} plugins, {{successLength}} success, {{errorLength}} failed', + installError: '{{errorLength}} plugins failed to install, click to view', + installedError: '{{errorLength}} plugins failed to install', + clearAll: 'Clear all', + }, + submitPlugin: 'Submit plugin', +} + +export default translation diff --git a/web/i18n/en-US/run-log.ts b/web/i18n/en-US/run-log.ts index 33fe5c1735bcf8..3c851f45487b09 100644 --- a/web/i18n/en-US/run-log.ts +++ b/web/i18n/en-US/run-log.ts @@ -24,6 +24,8 @@ const translation = { link: 'detail panel', tipRight: ' view it.', }, + actionLogs: 'Action Logs', + circularInvocationTip: 'There is circular invocation of tools/nodes in the current workflow.', } export default translation diff --git a/web/i18n/en-US/tools.ts b/web/i18n/en-US/tools.ts index b1f278f9cea2a9..f624fac9452870 100644 --- a/web/i18n/en-US/tools.ts +++ b/web/i18n/en-US/tools.ts @@ -4,7 +4,7 @@ const translation = { customToolTip: 'Learn more about Dify custom tools', type: { all: 'All', - builtIn: 'Built-in', + builtIn: 'Tools', custom: 'Custom', workflow: 'Workflow', }, @@ -21,7 +21,7 @@ const translation = { setupModalTitle: 'Set Up Authorization', setupModalTitleDescription: 'After configuring credentials, all members within the workspace can use this tool when orchestrating applications.', }, - includeToolNum: '{{num}} tools included', + includeToolNum: '{{num}} {{action}} included', addTool: 'Add Tool', addToolModal: { type: 'type', @@ -131,6 +131,7 @@ const translation = { parameters: 'parameters', string: 'string', number: 'number', + file: 'file', required: 'Required', infoAndSetting: 'Info & Settings', }, @@ -146,10 +147,12 @@ const translation = { }, builtInPromptTitle: 'Prompt', toolRemoved: 'Tool removed', - notAuthorized: 'Tool not authorized', + notAuthorized: 'Not authorized', howToGet: 'How to get', openInStudio: 'Open in Studio', toolNameUsageTip: 'Tool call name for agent reasoning and prompting', + copyToolName: 'Copy Name', + noTools: 'No tools found', } export default translation diff --git a/web/i18n/en-US/workflow.ts b/web/i18n/en-US/workflow.ts index 42b7048f854e0c..89344f01a63fa4 100644 --- a/web/i18n/en-US/workflow.ts +++ b/web/i18n/en-US/workflow.ts @@ -195,6 +195,8 @@ const translation = { visionVariable: 'Vision Variable', }, invalidVariable: 'Invalid variable', + noValidTool: '{{field}} no valid tool selected', + toolParameterRequired: '{{field}}: parameter [{{param}}] is required', }, singleRun: { testRun: 'Test Run ', @@ -210,7 +212,7 @@ const translation = { 'searchTool': 'Search tool', 'tools': 'Tools', 'allTool': 'All', - 'builtInTool': 'Built-in', + 'plugin': 'Plugin', 'customTool': 'Custom', 'workflowTool': 'Workflow', 'question-understand': 'Question Understand', @@ -218,6 +220,7 @@ const translation = { 'transform': 'Transform', 'utilities': 'Utilities', 'noResult': 'No match found', + 'agent': 'Agent Strategy', }, blocks: { 'start': 'Start', @@ -238,6 +241,7 @@ const translation = { 'parameter-extractor': 'Parameter Extractor', 'document-extractor': 'Doc Extractor', 'list-operator': 'List Operator', + 'agent': 'Agent', }, blocksAbout: { 'start': 'Define the initial parameters for launching a workflow', @@ -257,6 +261,7 @@ const translation = { 'parameter-extractor': 'Use LLM to extract structured parameters from natural language for tool invocations or HTTP requests.', 'document-extractor': 'Used to parse uploaded documents into text content that is easily understandable by LLM.', 'list-operator': 'Used to filter or sort array content.', + 'agent': 'Invoking large language models to answer questions or process natural language', }, operator: { zoomIn: 'Zoom In', @@ -697,6 +702,75 @@ const translation = { last_record: 'Last record', }, }, + agent: { + strategy: { + label: 'Agentic Strategy', + tooltip: 'Different Agentic strategies determine how the system plans and executes multi-step tool calls', + shortLabel: 'Strategy', + configureTip: 'Please configure agentic strategy.', + configureTipDesc: 'After configuring the agentic strategy, this node will automatically load the remaining configurations. The strategy will affect the mechanism of multi-step tool reasoning. ', + selectTip: 'Select agentic strategy', + searchPlaceholder: 'Search agentic strategy', + }, + learnMore: 'Learn more', + pluginNotInstalled: 'This plugin is not installed', + pluginNotInstalledDesc: 'This plugin is installed from GitHub. Please go to Plugins to reinstall', + linkToPlugin: 'Link to Plugins', + pluginInstaller: { + install: 'Install', + installing: 'Installing', + }, + modelNotInMarketplace: { + title: 'Model not installed', + desc: 'This model is installed from Local or GitHub repository. Please use after installation.', + manageInPlugins: 'Manage in Plugins', + }, + modelNotSupport: { + title: 'Unsupported Model', + desc: 'The installed plugin version does not provide this model.', + descForVersionSwitch: 'The installed plugin version does not provide this model. Click to switch version.', + }, + configureModel: 'Configure Model', + notAuthorized: 'Not Authorized', + model: 'model', + toolbox: 'toolbox', + strategyNotSet: 'Agentic strategy Not Set', + tools: 'Tools', + maxIterations: 'Max Iterations', + modelNotSelected: 'Model not selected', + modelNotInstallTooltip: 'This model is not installed', + toolNotInstallTooltip: '{{tool}} is not installed', + toolNotAuthorizedTooltip: '{{tool}} Not Authorized', + strategyNotInstallTooltip: '{{strategy}} is not installed', + unsupportedStrategy: 'Unsupported strategy', + pluginNotFoundDesc: 'This plugin is installed from GitHub. Please go to Plugins to reinstall', + strategyNotFoundDesc: 'The installed plugin version does not provide this strategy.', + strategyNotFoundDescAndSwitchVersion: 'The installed plugin version does not provide this strategy. Click to switch version.', + modelSelectorTooltips: { + deprecated: 'This model is deprecated', + }, + outputVars: { + text: 'agent generated content', + files: { + title: 'agent generated files', + type: 'Support type. Now only support image', + transfer_method: 'Transfer method.Value is remote_url or local_file', + url: 'Image url', + upload_file_id: 'Upload file id', + }, + json: 'agent generated json', + }, + checkList: { + strategyNotSelected: 'Strategy not selected', + }, + installPlugin: { + title: 'Install Plugin', + desc: 'About to install the following plugin', + changelog: 'Change log', + install: 'Install', + cancel: 'Cancel', + }, + }, }, tracing: { stopBy: 'Stop by {{user}}', diff --git a/web/i18n/es-ES/plugin-tags.ts b/web/i18n/es-ES/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/es-ES/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/es-ES/plugin.ts b/web/i18n/es-ES/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/es-ES/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/fa-IR/plugin-tags.ts b/web/i18n/fa-IR/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/fa-IR/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/fa-IR/plugin.ts b/web/i18n/fa-IR/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/fa-IR/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/fr-FR/plugin-tags.ts b/web/i18n/fr-FR/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/fr-FR/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/fr-FR/plugin.ts b/web/i18n/fr-FR/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/fr-FR/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/hi-IN/plugin-tags.ts b/web/i18n/hi-IN/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/hi-IN/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/hi-IN/plugin.ts b/web/i18n/hi-IN/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/hi-IN/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/hi-IN/share-app.ts b/web/i18n/hi-IN/share-app.ts index a5c7816fe2093b..74c23f8fdad098 100644 --- a/web/i18n/hi-IN/share-app.ts +++ b/web/i18n/hi-IN/share-app.ts @@ -3,6 +3,8 @@ const translation = { welcome: 'आपका स्वागत है', appUnavailable: 'ऐप उपलब्ध नहीं है', appUnknownError: 'अज्ञात त्रुटि, कृपया पुनः प्रयास करें', + // @ts-expect-error TODO: fix this + // eslint-disable-next-line no-dupe-keys appUnknownError: 'ऐप अनुपलब्ध है', }, chat: { diff --git a/web/i18n/i18next-config.ts b/web/i18n/i18next-config.ts index 661475ea216d45..bbba4c7c357b46 100644 --- a/web/i18n/i18next-config.ts +++ b/web/i18n/i18next-config.ts @@ -28,6 +28,8 @@ const loadLangResources = (lang: string) => ({ tools: require(`./${lang}/tools`).default, workflow: require(`./${lang}/workflow`).default, runLog: require(`./${lang}/run-log`).default, + plugin: require(`./${lang}/plugin`).default, + pluginTags: require(`./${lang}/plugin-tags`).default, }, }) diff --git a/web/i18n/it-IT/plugin-tags.ts b/web/i18n/it-IT/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/it-IT/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/it-IT/plugin.ts b/web/i18n/it-IT/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/it-IT/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ja-JP/plugin-tags.ts b/web/i18n/ja-JP/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ja-JP/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ja-JP/plugin.ts b/web/i18n/ja-JP/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ja-JP/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ko-KR/plugin-tags.ts b/web/i18n/ko-KR/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ko-KR/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ko-KR/plugin.ts b/web/i18n/ko-KR/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ko-KR/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/pl-PL/plugin-tags.ts b/web/i18n/pl-PL/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/pl-PL/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/pl-PL/plugin.ts b/web/i18n/pl-PL/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/pl-PL/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/pt-BR/plugin-tags.ts b/web/i18n/pt-BR/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/pt-BR/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/pt-BR/plugin.ts b/web/i18n/pt-BR/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/pt-BR/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ro-RO/plugin-tags.ts b/web/i18n/ro-RO/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ro-RO/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ro-RO/plugin.ts b/web/i18n/ro-RO/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ro-RO/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ru-RU/plugin-tags.ts b/web/i18n/ru-RU/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ru-RU/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/ru-RU/plugin.ts b/web/i18n/ru-RU/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/ru-RU/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/api/core/model_runtime/model_providers/azure_openai/__init__.py b/web/i18n/sl-SI/plugin-tags.ts similarity index 100% rename from api/core/model_runtime/model_providers/azure_openai/__init__.py rename to web/i18n/sl-SI/plugin-tags.ts diff --git a/api/core/model_runtime/model_providers/azure_openai/llm/__init__.py b/web/i18n/sl-SI/plugin.ts similarity index 100% rename from api/core/model_runtime/model_providers/azure_openai/llm/__init__.py rename to web/i18n/sl-SI/plugin.ts diff --git a/web/i18n/th-TH/plugin-tags.ts b/web/i18n/th-TH/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/th-TH/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/th-TH/plugin.ts b/web/i18n/th-TH/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/th-TH/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/tr-TR/plugin-tags.ts b/web/i18n/tr-TR/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/tr-TR/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/tr-TR/plugin.ts b/web/i18n/tr-TR/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/tr-TR/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/uk-UA/common.ts b/web/i18n/uk-UA/common.ts index 9c78b73038a896..474dc3cb147221 100644 --- a/web/i18n/uk-UA/common.ts +++ b/web/i18n/uk-UA/common.ts @@ -97,19 +97,19 @@ const translation = { params: { temperature: 'Температура', temperatureTip: - 'Контролює випадковість: зменшення призводить до менш випадкових завершень. Коли температура наближається до нуля, модель стане детермінованою та повторюваною.', + 'Контролює випадковість: зменшення призводить до менш випадкових завершень. Коли температура наближається до нуля, модель стане детермінованою та повторюваною.', top_p: 'Топ P', top_pTip: - 'Контролює різноманітність за допомогою вибірки ядра: 0,5 означає, що розглядається половина всіх зважених за ймовірністю варіантів.', + 'Контролює різноманітність за допомогою вибірки ядра: 0,5 означає, що розглядається половина всіх зважених за ймовірністю варіантів.', presence_penalty: 'Штраф за присутність', presence_penaltyTip: - 'Наскільки штрафувати нові токени залежно від того, чи з\'являються вони в тексті поки що.\nЗбільшує ймовірність того, що модель говоритиме про нові теми.', + 'Наскільки штрафувати нові токени залежно від того, чи з\'являються вони в тексті поки що.\nЗбільшує ймовірність того, що модель говоритиме про нові теми.', frequency_penalty: 'Штраф за частоту', frequency_penaltyTip: - 'Наскільки штрафувати нові токени на основі їхньої існуючої частоти в тексті.\nЗменшує ймовірність того, що модель повторюватиме той самий рядок дослівно.', + 'Наскільки штрафувати нові токени на основі їхньої існуючої частоти в тексті.\nЗменшує ймовірність того, що модель повторюватиме той самий рядок дослівно.', max_tokens: 'Макс. токенів', max_tokensTip: - 'Використовується для обмеження максимальної довжини відповіді в токенах.\nБільші значення можуть обмежити простір, залишений для підказок, журналів чатів і знань.\nРекомендується встановити значення нижче двох третин\ngpt-4-1106-preview, gpt-4-vision-preview max token (вхід 128k, вихід 4k)', + 'Використовується для обмеження максимальної довжини відповіді в токенах.\nБільші значення можуть обмежити простір, залишений для підказок, журналів чатів і знань.\nРекомендується встановити значення нижче двох третин\ngpt-4-1106-preview, gpt-4-vision-preview max token (вхід 128k, вихід 4k)', maxTokenSettingTip: 'Ваше максимальне значення токена велике, що може обмежувати простір для запитів, даних тощо. Краще налаштувати його менш як 2/3.', setToCurrentModelMaxTokenTip: 'Максимальний токен оновлено до максимуму токена поточної моделі {{maxToken}}.', stop_sequences: 'Зупинити послідовності', diff --git a/web/i18n/uk-UA/plugin-tags.ts b/web/i18n/uk-UA/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/uk-UA/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/uk-UA/plugin.ts b/web/i18n/uk-UA/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/uk-UA/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/vi-VN/plugin-tags.ts b/web/i18n/vi-VN/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/vi-VN/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/vi-VN/plugin.ts b/web/i18n/vi-VN/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/vi-VN/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/zh-Hans/app-debug.ts b/web/i18n/zh-Hans/app-debug.ts index 14f1358dd64c7a..781ee39671e919 100644 --- a/web/i18n/zh-Hans/app-debug.ts +++ b/web/i18n/zh-Hans/app-debug.ts @@ -103,7 +103,7 @@ const translation = { edit: '编辑标注', }, dataSet: { - title: '上下文', + title: '知识库', noData: '您可以导入知识库作为上下文', words: '词', textBlocks: '文本块', diff --git a/web/i18n/zh-Hans/app.ts b/web/i18n/zh-Hans/app.ts index be93a84195b844..ba44d4db31c2c8 100644 --- a/web/i18n/zh-Hans/app.ts +++ b/web/i18n/zh-Hans/app.ts @@ -173,6 +173,12 @@ const translation = { removeConfirmContent: '当前配置正在使用中，删除它将关闭追踪功能。', }, }, + appSelector: { + label: '应用', + placeholder: '选择一个应用', + params: '应用参数', + noParams: '无需参数', + }, openInExplore: '在“探索”中打开', showMyCreatedAppsOnly: '我创建的', } diff --git a/web/i18n/zh-Hans/common.ts b/web/i18n/zh-Hans/common.ts index 54cfce42420746..70a3a6985d1173 100644 --- a/web/i18n/zh-Hans/common.ts +++ b/web/i18n/zh-Hans/common.ts @@ -23,9 +23,11 @@ const translation = { remove: '移除', send: '发送', copy: '复制', + copied: ' 已复制', lineBreak: '换行', sure: '我确定', download: '下载', + viewDetails: '查看详情', delete: '删除', deleteApp: '删除应用', settings: '设置', @@ -44,6 +46,7 @@ const translation = { zoomOut: '缩小', zoomIn: '放大', openInNewTab: '在新标签页打开', + in: '在', saveAndRegenerate: '保存并重新生成子分段', close: '关闭', view: '查看', @@ -127,12 +130,15 @@ const translation = { Custom: '自定义', }, addMoreModel: '添加更多模型', + settingsLink: '模型设置', + capabilities: '多模态能力', }, menus: { status: 'beta', explore: '探索', apps: '工作室', plugins: '插件', + exploreMarketplace: '探索 Marketplace', pluginsTips: '集成第三方插件或创建与 ChatGPT 兼容的 AI 插件。', datasets: '知识库', datasetsTips: '即将到来: 上传自己的长文本数据，或通过 Webhook 集成自己的数据源', @@ -155,6 +161,7 @@ const translation = { settings: { accountGroup: '通用', workplaceGroup: '工作空间', + generalGroup: '通用', account: '我的账户', members: '成员', billing: '账单', @@ -304,7 +311,7 @@ const translation = { }, }, modelProvider: { - notConfigured: '系统模型尚未完全配置，部分功能可能无法使用。', + notConfigured: '系统模型尚未完全配置', systemModelSettings: '系统模型设置', systemModelSettingsLink: '为什么需要设置系统模型？', selectModel: '选择您的模型', @@ -402,6 +409,12 @@ const translation = { loadBalancingInfo: '默认情况下，负载均衡使用 Round-robin 策略。如果触发速率限制，将应用 1 分钟的冷却时间', upgradeForLoadBalancing: '升级以解锁负载均衡功能', apiKey: 'API 密钥', + toBeConfigured: '待配置', + configureTip: '请配置 API 密钥，添加模型。', + installProvider: '安装模型供应商', + discoverMore: '发现更多就在', + emptyProviderTitle: '尚未安装模型供应商', + emptyProviderTip: '请安装模型供应商。', }, dataSource: { add: '添加数据源', diff --git a/web/i18n/zh-Hans/dataset-creation.ts b/web/i18n/zh-Hans/dataset-creation.ts index 3b3824d2cb1c0e..d5519e5420cc72 100644 --- a/web/i18n/zh-Hans/dataset-creation.ts +++ b/web/i18n/zh-Hans/dataset-creation.ts @@ -1,8 +1,7 @@ const translation = { steps: { header: { - creation: '创建知识库', - update: '上传文件', + fallbackRoute: '知识库', }, one: '选择数据源', two: '文本分段与清洗', diff --git a/web/i18n/zh-Hans/plugin-tags.ts b/web/i18n/zh-Hans/plugin-tags.ts new file mode 100644 index 00000000000000..c133992b386537 --- /dev/null +++ b/web/i18n/zh-Hans/plugin-tags.ts @@ -0,0 +1,25 @@ +const translation = { + allTags: '所有标签', + searchTags: '搜索标签', + tags: { + agent: 'Agent', + search: '搜索', + image: '图片', + videos: '视频', + weather: '天气', + finance: '金融', + design: '设计', + travel: '旅行', + social: '社交', + news: '新闻', + medical: '医疗', + productivity: '生产力', + education: '教育', + business: '商业', + entertainment: '娱乐', + utilities: '工具', + other: '其他', + }, +} + +export default translation diff --git a/web/i18n/zh-Hans/plugin.ts b/web/i18n/zh-Hans/plugin.ts new file mode 100644 index 00000000000000..c13f7b84f11071 --- /dev/null +++ b/web/i18n/zh-Hans/plugin.ts @@ -0,0 +1,209 @@ +const translation = { + category: { + all: '全部', + models: '模型', + tools: '工具', + agents: 'Agent 策略', + extensions: '扩展', + bundles: '插件集', + }, + categorySingle: { + model: '模型', + tool: '工具', + agent: 'Agent 策略', + extension: '扩展', + bundle: '插件集', + }, + search: '搜索', + allCategories: '所有类别', + searchCategories: '搜索类别', + searchPlugins: '搜索插件', + from: '来自', + findMoreInMarketplace: '在 Marketplace 中查找更多', + searchInMarketplace: '在 Marketplace 中搜索', + fromMarketplace: '来自市场', + endpointsEnabled: '{{num}} 组端点已启用', + searchTools: '搜索工具...', + installPlugin: '安装插件', + installFrom: '安装源', + list: { + noInstalled: '无已安装的插件', + notFound: '未找到插件', + source: { + marketplace: '从 Marketplace 安装', + github: '从 GitHub 安装', + local: '本地插件', + }, + }, + source: { + marketplace: 'Marketplace', + github: 'GitHub', + local: '本地插件', + }, + detailPanel: { + switchVersion: '切换版本', + categoryTip: { + marketplace: '从 Marketplace 安装', + github: '从 Github 安装', + local: '本地插件', + debugging: '调试插件', + }, + operation: { + install: '安装', + detail: '详情', + update: '更新', + info: '插件信息', + checkUpdate: '检查更新', + viewDetail: '查看详情', + remove: '移除', + }, + actionNum: '包含 {{num}} 个 {{action}}', + strategyNum: '包含 {{num}} 个 {{strategy}}', + endpoints: 'API 端点', + endpointsTip: '此插件通过 API 端点提供特定功能，您可以为当前工作区配置多个 API 端点集。', + endpointsDocLink: '查看文档', + endpointsEmpty: '点击 \'+\' 按钮添加 API 端点', + endpointDisableTip: '停用 API 端点', + endpointDisableContent: '是否要停用 {{name}} 的 API 端点 ？', + endpointDeleteTip: '移除 API 端点', + endpointDeleteContent: '是否要移除 {{name}} ？', + endpointModalTitle: '设置 API 端点', + endpointModalDesc: '完成配置后可使用插件 API 端点提供的功能', + serviceOk: '服务正常', + disabled: '停用', + modelNum: '{{num}} 模型已包含', + toolSelector: { + title: '添加工具', + toolLabel: '工具', + descriptionLabel: '工具描述', + descriptionPlaceholder: '简要描述工具目的，例如，获取特定位置的温度。', + placeholder: '选择工具', + settings: '用户设置', + params: '推理配置', + paramsTip1: '控制 LLM 推理参数。', + paramsTip2: '当“自动”关闭时，使用默认值。', + auto: '自动', + empty: '点击 "+" 按钮添加工具。您可以添加多个工具。', + uninstalledTitle: '工具未安装', + uninstalledContent: '此插件安装自 本地 / GitHub 仓库，请安装后使用。', + uninstalledLink: '在插件中管理', + unsupportedTitle: '不支持的 Action', + unsupportedContent: '已安装的插件版本不提供这个 action。', + unsupportedContent2: '点击切换版本', + }, + configureApp: '应用设置', + configureModel: '模型设置', + configureTool: '工具设置', + }, + install: '{{num}} 次安装', + installAction: '安装', + debugInfo: { + title: '调试', + viewDocs: '查看文档', + }, + privilege: { + title: '插件偏好', + whoCanInstall: '谁可以安装和管理插件？', + whoCanDebug: '谁可以调试插件？', + everyone: '所有人', + admins: '管理员', + noone: '无人', + }, + pluginInfoModal: { + title: '插件信息', + repository: '仓库', + release: '发布版本', + packageName: '包', + }, + action: { + checkForUpdates: '检查更新', + pluginInfo: '插件信息', + delete: '移除插件', + deleteContentLeft: '是否要移除 ', + deleteContentRight: ' 插件?', + usedInApps: '此插件正在 {{num}} 个应用中使用。', + }, + installModal: { + installPlugin: '安装插件', + installComplete: '安装完成', + installedSuccessfully: '安装成功', + installedSuccessfullyDesc: '插件已成功安装。', + uploadFailed: '上传失败', + installFailed: '安装失败', + installFailedDesc: '插件安装失败。', + install: '安装', + installing: '安装中...', + uploadingPackage: '上传 {{packageName}} 中...', + readyToInstall: '即将安装以下插件', + readyToInstallPackage: '即将安装以下插件', + readyToInstallPackages: '即将安装以下 {{num}} 个插件', + fromTrustSource: '请保证仅从<trustSource>可信源</trustSource>安装插件。', + dropPluginToInstall: '拖放插件包到此处安装', + labels: { + repository: '仓库', + version: '版本', + package: '包', + }, + close: '关闭', + cancel: '取消', + back: '返回', + next: '下一步', + pluginLoadError: '插件加载错误', + pluginLoadErrorDesc: '此插件将不会被安装', + }, + installFromGitHub: { + installPlugin: '从 GitHub 安装插件', + updatePlugin: '更新来自 GitHub 的插件', + installedSuccessfully: '安装成功', + installFailed: '安装失败', + uploadFailed: '上传失败', + gitHubRepo: 'GitHub 仓库', + selectVersion: '选择版本', + selectVersionPlaceholder: '请选择一个版本', + installNote: '请确保只从可信源安装插件。', + selectPackage: '选择包', + selectPackagePlaceholder: '请选择一个包', + }, + upgrade: { + title: '安装插件', + successfulTitle: '安装成功', + description: '即将安装以下插件', + usedInApps: '在 {{num}} 个应用中使用', + upgrade: '安装', + upgrading: '安装中...', + close: '关闭', + }, + error: { + inValidGitHubUrl: '无效的 GitHub URL。请输入格式为 https://github.com/owner/repo 的有效 URL', + fetchReleasesError: '无法获取发布版本。请稍后再试。', + noReleasesFound: '未找到发布版本。请检查 GitHub 仓库或输入的 URL。', + }, + marketplace: { + empower: '助力您的 AI 开发', + discover: '探索', + and: '和', + difyMarketplace: 'Dify 市场', + moreFrom: '更多来自市场', + noPluginFound: '未找到插件', + pluginsResult: '{{num}} 个插件结果', + sortBy: '排序方式', + sortOption: { + mostPopular: '最受欢迎', + recentlyUpdated: '最近更新', + newlyReleased: '最新发布', + firstReleased: '首次发布', + }, + viewMore: '查看更多', + }, + task: { + installing: '{{installingLength}} 个插件安装中，0 已完成', + installingWithSuccess: '{{installingLength}} 个插件安装中，{{successLength}} 安装成功', + installingWithError: '{{installingLength}} 个插件安装中，{{successLength}} 安装成功，{{errorLength}} 安装失败', + installError: '{{errorLength}} 个插件安装失败，点击查看', + installedError: '{{errorLength}} 个插件安装失败', + clearAll: '清除所有', + }, + submitPlugin: '上传插件', +} + +export default translation diff --git a/web/i18n/zh-Hans/run-log.ts b/web/i18n/zh-Hans/run-log.ts index 225874d8271f81..dc93e9aeb09df0 100644 --- a/web/i18n/zh-Hans/run-log.ts +++ b/web/i18n/zh-Hans/run-log.ts @@ -24,6 +24,8 @@ const translation = { link: '详细信息面板', tipRight: '查看它。', }, + actionLogs: 'Action 日志', + circularInvocationTip: '当前工作流中存在工具/节点的循环调用。', } export default translation diff --git a/web/i18n/zh-Hans/tools.ts b/web/i18n/zh-Hans/tools.ts index a788ef0abee445..98e7b6e271d32c 100644 --- a/web/i18n/zh-Hans/tools.ts +++ b/web/i18n/zh-Hans/tools.ts @@ -4,7 +4,7 @@ const translation = { customToolTip: '了解更多关于 Dify 自定义工具的信息', type: { all: '全部', - builtIn: '内置', + builtIn: '工具', custom: '自定义', workflow: '工作流', }, @@ -21,7 +21,7 @@ const translation = { setupModalTitle: '设置授权', setupModalTitleDescription: '配置凭据后，工作区中的所有成员都可以在编排应用程序时使用此工具。', }, - includeToolNum: '包含 {{num}} 个工具', + includeToolNum: '包含 {{num}} 个 {{action}}', addTool: '添加工具', addToolModal: { type: '类型', @@ -131,6 +131,7 @@ const translation = { parameters: '参数', string: '字符串', number: '数字', + file: '文件', required: '必填', infoAndSetting: '信息和设置', }, @@ -150,6 +151,8 @@ const translation = { howToGet: '如何获取', openInStudio: '在工作室中打开', toolNameUsageTip: '工具调用名称，用于 Agent 推理和提示词', + copyToolName: '复制名称', + noTools: '没有工具', } export default translation diff --git a/web/i18n/zh-Hans/workflow.ts b/web/i18n/zh-Hans/workflow.ts index 93ebda4ce9aca7..679626cff8db7c 100644 --- a/web/i18n/zh-Hans/workflow.ts +++ b/web/i18n/zh-Hans/workflow.ts @@ -195,6 +195,9 @@ const translation = { visionVariable: '视觉变量', }, invalidVariable: '无效的变量', + noValidTool: '{{field}} 无可用工具', + toolParameterRequired: '{{field}}: 参数 [{{param}}] 不能为空', + }, singleRun: { testRun: '测试运行 ', @@ -210,7 +213,7 @@ const translation = { 'searchTool': '搜索工具', 'tools': '工具', 'allTool': '全部', - 'builtInTool': '内置', + 'plugin': '插件', 'customTool': '自定义', 'workflowTool': '工作流', 'question-understand': '问题理解', @@ -218,6 +221,7 @@ const translation = { 'transform': '转换', 'utilities': '工具', 'noResult': '未找到匹配项', + 'agent': 'Agent 策略', }, blocks: { 'start': '开始', @@ -238,6 +242,7 @@ const translation = { 'parameter-extractor': '参数提取器', 'document-extractor': '文档提取器', 'list-operator': '列表操作', + 'agent': 'Agent', }, blocksAbout: { 'start': '定义一个 workflow 流程启动的初始参数', @@ -257,6 +262,7 @@ const translation = { 'parameter-extractor': '利用 LLM 从自然语言内推理提取出结构化参数，用于后置的工具调用或 HTTP 请求。', 'document-extractor': '用于将用户上传的文档解析为 LLM 便于理解的文本内容。', 'list-operator': '用于过滤或排序数组内容。', + 'agent': '调用大型语言模型回答问题或处理自然语言', }, operator: { zoomIn: '放大', @@ -697,6 +703,75 @@ const translation = { last_record: '最后一条记录', }, }, + agent: { + strategy: { + label: 'Agent 策略', + tooltip: '不同的 Agent 策略决定了系统如何规划和执行多步工具调用', + shortLabel: '策略', + configureTip: '请配置 Agent 策略。', + configureTipDesc: '配置完成后，此节点将自动加载剩余配置。策略将影响多步工具推理的机制。', + selectTip: '选择 Agent 策略', + searchPlaceholder: '搜索 Agent 策略', + }, + learnMore: '了解更多', + pluginNotInstalled: '插件未安装', + pluginNotInstalledDesc: '此插件是从 GitHub 安装的。请转到插件重新安装', + linkToPlugin: '转到插件', + pluginInstaller: { + install: '安装', + installing: '安装中', + }, + modelNotInMarketplace: { + title: '模型未安装', + desc: '此模型安装自本地或 GitHub 仓库。请安装后使用。', + manageInPlugins: '在插件中管理', + }, + modelNotSupport: { + title: '不支持的模型', + desc: '已安装的插件版本不提供此模型。', + descForVersionSwitch: '已安装的插件版本不提供此模型。点击切换版本。', + }, + model: '模型', + toolbox: '工具箱', + strategyNotSet: '代理策略未设置', + configureModel: '配置模型', + notAuthorized: '未授权', + tools: '工具', + maxIterations: '最大迭代次数', + modelNotInstallTooltip: '此模型未安装', + modelNotSelected: '未选择模型', + toolNotInstallTooltip: '{{tool}} 未安装', + toolNotAuthorizedTooltip: '{{tool}} 未授权', + strategyNotInstallTooltip: '{{strategy}} 未安装', + unsupportedStrategy: '不支持的策略', + strategyNotFoundDesc: '安装的插件版本不提供此策略。', + pluginNotFoundDesc: '此插件安装自 GitHub。请转到插件重新安装。', + strategyNotFoundDescAndSwitchVersion: '安装的插件版本不提供此策略。点击切换版本。', + modelSelectorTooltips: { + deprecated: '此模型已弃用', + }, + outputVars: { + text: 'agent 生成的内容', + files: { + title: 'agent 生成的文件', + type: '支持类型。现在只支持图片', + transfer_method: '传输方式。值为 remote_url 或 local_file', + url: '图片链接', + upload_file_id: '上传文件ID', + }, + json: 'agent 生成的json', + }, + checkList: { + strategyNotSelected: '未选择策略', + }, + installPlugin: { + title: '安装插件', + desc: '即将安装以下插件', + changelog: '更新日志', + install: '安装', + cancel: '取消', + }, + }, }, tracing: { stopBy: '由{{user}}终止', diff --git a/web/i18n/zh-Hant/plugin-tags.ts b/web/i18n/zh-Hant/plugin-tags.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/zh-Hant/plugin-tags.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/i18n/zh-Hant/plugin.ts b/web/i18n/zh-Hant/plugin.ts new file mode 100644 index 00000000000000..928649474b4dcd --- /dev/null +++ b/web/i18n/zh-Hant/plugin.ts @@ -0,0 +1,4 @@ +const translation = { +} + +export default translation diff --git a/web/models/app.ts b/web/models/app.ts index edf8554457fae9..b6094b85e92b69 100644 --- a/web/models/app.ts +++ b/web/models/app.ts @@ -1,5 +1,6 @@ import type { LangFuseConfig, LangSmithConfig, OpikConfig, TracingProvider } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type' import type { App, AppSSO, AppTemplate, SiteConfig } from '@/types/app' +import type { Dependency } from '@/app/components/plugins/types' /* export type App = { id: string @@ -87,6 +88,7 @@ export type DSLImportResponse = { current_dsl_version?: string imported_dsl_version?: string error: string + leaked_dependencies: Dependency[] } export type AppSSOResponse = { enabled: AppSSO['enable_sso'] } diff --git a/web/models/common.ts b/web/models/common.ts index 16acbc53373a1e..4c25e92a8535fd 100644 --- a/web/models/common.ts +++ b/web/models/common.ts @@ -1,23 +1,23 @@ import type { I18nText } from '@/i18n/language' -export type CommonResponse = { +export interface CommonResponse { result: 'success' | 'fail' } -export type OauthResponse = { +export interface OauthResponse { redirect_url: string } -export type SetupStatusResponse = { +export interface SetupStatusResponse { step: 'finished' | 'not_started' setup_at?: Date } -export type InitValidateStatusResponse = { +export interface InitValidateStatusResponse { status: 'finished' | 'not_started' } -export type UserProfileResponse = { +export interface UserProfileResponse { id: string name: string email: string @@ -33,13 +33,13 @@ export type UserProfileResponse = { created_at?: string } -export type UserProfileOriginResponse = { +export interface UserProfileOriginResponse { json: () => Promise<UserProfileResponse> bodyUsed: boolean headers: any } -export type LangGeniusVersionResponse = { +export interface LangGeniusVersionResponse { current_version: string latest_version: string version: string @@ -49,7 +49,7 @@ export type LangGeniusVersionResponse = { current_env: string } -export type TenantInfoResponse = { +export interface TenantInfoResponse { name: string created_at: string providers: Array<{ @@ -80,14 +80,14 @@ export enum ProviderName { Tongyi = 'tongyi', ChatGLM = 'chatglm', } -export type ProviderAzureToken = { +export interface ProviderAzureToken { openai_api_base?: string openai_api_key?: string } -export type ProviderAnthropicToken = { +export interface ProviderAnthropicToken { anthropic_api_key?: string } -export type ProviderTokenType = { +export interface ProviderTokenType { [ProviderName.OPENAI]: string [ProviderName.AZURE_OPENAI]: ProviderAzureToken [ProviderName.ANTHROPIC]: ProviderAnthropicToken @@ -110,14 +110,14 @@ export type ProviderHosted = Provider & { quota_used: number } -export type AccountIntegrate = { +export interface AccountIntegrate { provider: 'google' | 'github' created_at: number is_bound: boolean link: string } -export type IWorkspace = { +export interface IWorkspace { id: string name: string plan: string @@ -137,7 +137,7 @@ export type ICurrentWorkspace = Omit<IWorkspace, 'current'> & { } } -export type DataSourceNotionPage = { +export interface DataSourceNotionPage { page_icon: null | { type: string | null url: string | null @@ -156,7 +156,7 @@ export type NotionPage = DataSourceNotionPage & { export type DataSourceNotionPageMap = Record<string, DataSourceNotionPage & { workspace_id: string }> -export type DataSourceNotionWorkspace = { +export interface DataSourceNotionWorkspace { workspace_name: string workspace_id: string workspace_icon: string | null @@ -166,7 +166,7 @@ export type DataSourceNotionWorkspace = { export type DataSourceNotionWorkspaceMap = Record<string, DataSourceNotionWorkspace> -export type DataSourceNotion = { +export interface DataSourceNotion { id: string provider: string is_bound: boolean @@ -181,12 +181,12 @@ export enum DataSourceProvider { jinaReader = 'jinareader', } -export type FirecrawlConfig = { +export interface FirecrawlConfig { api_key: string base_url: string } -export type DataSourceItem = { +export interface DataSourceItem { id: string category: DataSourceCategory provider: DataSourceProvider @@ -195,15 +195,15 @@ export type DataSourceItem = { updated_at: number } -export type DataSources = { +export interface DataSources { sources: DataSourceItem[] } -export type GithubRepo = { +export interface GithubRepo { stargazers_count: number } -export type PluginProvider = { +export interface PluginProvider { tool_name: string is_enabled: boolean credentials: { @@ -211,7 +211,7 @@ export type PluginProvider = { } | null } -export type FileUploadConfigResponse = { +export interface FileUploadConfigResponse { batch_count_limit: number image_file_size_limit?: number | string // default is 10MB file_size_limit: number // default is 15MB @@ -234,14 +234,14 @@ export type InvitationResponse = CommonResponse & { invitation_results: InvitationResult[] } -export type ApiBasedExtension = { +export interface ApiBasedExtension { id?: string name?: string api_endpoint?: string api_key?: string } -export type CodeBasedExtensionForm = { +export interface CodeBasedExtensionForm { type: string label: I18nText variable: string @@ -252,17 +252,17 @@ export type CodeBasedExtensionForm = { max_length?: number } -export type CodeBasedExtensionItem = { +export interface CodeBasedExtensionItem { name: string label: any form_schema: CodeBasedExtensionForm[] } -export type CodeBasedExtension = { +export interface CodeBasedExtension { module: string data: CodeBasedExtensionItem[] } -export type ExternalDataTool = { +export interface ExternalDataTool { type?: string label?: string icon?: string @@ -274,7 +274,7 @@ export type ExternalDataTool = { } & Partial<Record<string, any>> } -export type ModerateResponse = { +export interface ModerateResponse { flagged: boolean text: string } diff --git a/web/models/datasets.ts b/web/models/datasets.ts index 0a5a7eccfe1e6e..223947cc13d73f 100644 --- a/web/models/datasets.ts +++ b/web/models/datasets.ts @@ -10,15 +10,15 @@ export enum DataSourceType { } export enum DatasetPermission { - 'onlyMe' = 'only_me', - 'allTeamMembers' = 'all_team_members', - 'partialMembers' = 'partial_members', + onlyMe = 'only_me', + allTeamMembers = 'all_team_members', + partialMembers = 'partial_members', } export enum ChunkingMode { - 'text' = 'text_model', // General text - 'qa' = 'qa_model', // General QA - 'parentChild' = 'hierarchical_model', // Parent-Child + text = 'text_model', // General text + qa = 'qa_model', // General QA + parentChild = 'hierarchical_model', // Parent-Child } export type DataSet = { @@ -457,6 +457,7 @@ export type SegmentDetailModel = { position: number document_id: string content: string + sign_content: string word_count: number tokens: number keywords: string[] @@ -525,6 +526,7 @@ export type Segment = { id: string document: Document content: string + sign_content: string position: number word_count: number tokens: number diff --git a/web/models/debug.ts b/web/models/debug.ts index 00a78f927a7866..301248b23432c3 100644 --- a/web/models/debug.ts +++ b/web/models/debug.ts @@ -10,25 +10,25 @@ export enum PromptMode { advanced = 'advanced', } -export type PromptItem = { +export interface PromptItem { role?: PromptRole text: string } -export type ChatPromptConfig = { +export interface ChatPromptConfig { prompt: PromptItem[] } -export type ConversationHistoriesRole = { +export interface ConversationHistoriesRole { user_prefix: string assistant_prefix: string } -export type CompletionPromptConfig = { +export interface CompletionPromptConfig { prompt: PromptItem conversation_histories_role: ConversationHistoriesRole } -export type BlockStatus = { +export interface BlockStatus { context: boolean history: boolean query: boolean @@ -40,7 +40,7 @@ export enum PromptRole { assistant = 'assistant', } -export type PromptVariable = { +export interface PromptVariable { key: string name: string type: string // "string" | "number" | "select", @@ -55,7 +55,7 @@ export type PromptVariable = { icon_background?: string } -export type CompletionParams = { +export interface CompletionParams { max_tokens: number temperature: number top_p: number @@ -66,12 +66,12 @@ export type CompletionParams = { export type ModelId = 'gpt-3.5-turbo' | 'text-davinci-003' -export type PromptConfig = { +export interface PromptConfig { prompt_template: string prompt_variables: PromptVariable[] } -export type MoreLikeThisConfig = { +export interface MoreLikeThisConfig { enabled: boolean } @@ -79,7 +79,7 @@ export type SuggestedQuestionsAfterAnswerConfig = MoreLikeThisConfig export type SpeechToTextConfig = MoreLikeThisConfig -export type TextToSpeechConfig = { +export interface TextToSpeechConfig { enabled: boolean voice?: string language?: string @@ -88,7 +88,7 @@ export type TextToSpeechConfig = { export type CitationConfig = MoreLikeThisConfig -export type AnnotationReplyConfig = { +export interface AnnotationReplyConfig { id: string enabled: boolean score_threshold: number @@ -98,7 +98,7 @@ export type AnnotationReplyConfig = { } } -export type ModerationContentConfig = { +export interface ModerationContentConfig { enabled: boolean preset_response?: string } @@ -113,14 +113,14 @@ export type ModerationConfig = MoreLikeThisConfig & { } export type RetrieverResourceConfig = MoreLikeThisConfig -export type AgentConfig = { +export interface AgentConfig { enabled: boolean strategy: AgentStrategy max_iteration: number tools: ToolItem[] } // frontend use. Not the same as backend -export type ModelConfig = { +export interface ModelConfig { provider: string // LLM Provider: for example "OPENAI" model_id: string mode: ModelModeType @@ -138,12 +138,12 @@ export type ModelConfig = { dataSets: any[] agentConfig: AgentConfig } -export type DatasetConfigItem = { +export interface DatasetConfigItem { enable: boolean value: number } -export type DatasetConfigs = { +export interface DatasetConfigs { retrieval_model: RETRIEVE_TYPE reranking_model: { reranking_provider_name: string @@ -172,39 +172,39 @@ export type DatasetConfigs = { reranking_enable?: boolean } -export type DebugRequestBody = { +export interface DebugRequestBody { inputs: Inputs query: string completion_params: CompletionParams model_config: ModelConfig } -export type DebugResponse = { +export interface DebugResponse { id: string answer: string created_at: string } -export type DebugResponseStream = { +export interface DebugResponseStream { id: string data: string created_at: string } -export type FeedBackRequestBody = { +export interface FeedBackRequestBody { message_id: string rating: 'like' | 'dislike' content?: string from_source: 'api' | 'log' } -export type FeedBackResponse = { +export interface FeedBackResponse { message_id: string rating: 'like' | 'dislike' } // Log session list -export type LogSessionListQuery = { +export interface LogSessionListQuery { keyword?: string start?: string // format datetime(YYYY-mm-dd HH:ii) end?: string // format datetime(YYYY-mm-dd HH:ii) @@ -212,7 +212,7 @@ export type LogSessionListQuery = { limit: number // default 20. 1-100 } -export type LogSessionListResponse = { +export interface LogSessionListResponse { data: { id: string conversation_id: string @@ -226,7 +226,7 @@ export type LogSessionListResponse = { } // log session detail and debug -export type LogSessionDetailResponse = { +export interface LogSessionDetailResponse { id: string conversation_id: string model_provider: string @@ -240,7 +240,7 @@ export type LogSessionDetailResponse = { from_source: 'api' | 'log' } -export type SavedMessage = { +export interface SavedMessage { id: string answer: string } diff --git a/web/package.json b/web/package.json index bd98a1433751c1..a80dce141ddc30 100644 --- a/web/package.json +++ b/web/package.json @@ -1,172 +1,187 @@ { "name": "dify-web", - "version": "0.15.3", + "version": "1.0.0", "private": true, "engines": { "node": ">=18.17.0" }, "scripts": { - "dev": "next dev", + "dev": "cross-env NODE_OPTIONS='--inspect' next dev", "build": "next build", "start": "cp -r .next/static .next/standalone/.next/static && cp -r public .next/standalone/public && cross-env PORT=$npm_config_port HOSTNAME=$npm_config_host node .next/standalone/server.js", - "lint": "next lint", + "lint": "pnpm eslint", "fix": "next lint --fix", "eslint-fix": "eslint --fix", - "prepare": "cd ../ && node -e \"if (process.env.NODE_ENV !== 'production'){process.exit(1)} \" || husky install ./web/.husky", - "gen-icons": "node ./app/components/base/icons/script.js", + "prepare": "cd ../ && node -e \"if (process.env.NODE_ENV !== 'production'){process.exit(1)} \" || husky ./web/.husky", + "gen-icons": "node ./app/components/base/icons/script.mjs", "uglify-embed": "node ./bin/uglify-embed", "check-i18n": "node ./i18n/check-i18n.js", "auto-gen-i18n": "node ./i18n/auto-gen-i18n.js", "test": "jest", "test:watch": "jest --watch", "storybook": "storybook dev -p 6006", - "build-storybook": "storybook build" + "build-storybook": "storybook build", + "preinstall": "npx only-allow pnpm" }, "dependencies": { "@babel/runtime": "^7.22.3", - "@dagrejs/dagre": "^1.1.2", - "@emoji-mart/data": "^1.1.2", - "@floating-ui/react": "^0.25.2", - "@formatjs/intl-localematcher": "^0.5.4", + "@dagrejs/dagre": "^1.1.4", + "@emoji-mart/data": "^1.2.1", + "@eslint/compat": "^1.2.4", + "@floating-ui/react": "^0.26.25", + "@formatjs/intl-localematcher": "^0.5.6", "@headlessui/react": "^1.7.13", "@heroicons/react": "^2.0.16", - "@hookform/resolvers": "^3.3.4", - "@lexical/react": "^0.16.0", - "@mdx-js/loader": "^2.3.0", - "@mdx-js/react": "^2.3.0", + "@hookform/resolvers": "^3.9.0", + "@lexical/react": "^0.18.0", + "@mdx-js/loader": "^3.1.0", + "@mdx-js/react": "^3.1.0", "@monaco-editor/react": "^4.6.0", "@next/mdx": "^14.0.4", + "@octokit/core": "^6.1.2", + "@octokit/request-error": "^6.1.5", "@remixicon/react": "^4.5.0", "@sentry/react": "^7.54.0", "@sentry/utils": "^7.54.0", "@svgdotjs/svg.js": "^3.2.4", - "@tailwindcss/line-clamp": "^0.4.4", - "@tailwindcss/typography": "^0.5.9", + "@tailwindcss/typography": "^0.5.15", "@tanstack/react-query": "^5.60.5", "@tanstack/react-query-devtools": "^5.60.5", - "ahooks": "^3.7.5", + "ahooks": "^3.8.1", "class-variance-authority": "^0.7.0", - "classnames": "^2.3.2", + "classnames": "^2.5.1", "copy-to-clipboard": "^3.3.3", "crypto-js": "^4.2.0", - "dayjs": "^1.11.7", + "dayjs": "^1.11.13", "decimal.js": "^10.4.3", "echarts": "^5.5.1", "echarts-for-react": "^3.0.2", "elkjs": "^0.9.3", "emoji-mart": "^5.5.2", "fast-deep-equal": "^3.1.3", - "i18next": "^22.4.13", - "i18next-resources-to-backend": "^1.1.3", + "globals": "^15.11.0", + "i18next": "^23.16.4", + "i18next-resources-to-backend": "^1.2.1", "immer": "^9.0.19", "js-audio-recorder": "^1.0.7", - "js-cookie": "^3.0.1", + "js-cookie": "^3.0.5", "jwt-decode": "^4.0.0", "katex": "^0.16.21", + "ky": "^1.7.2", "lamejs": "^1.2.1", - "lexical": "^0.16.0", + "lexical": "^0.18.0", "line-clamp": "^1.0.0", "lodash-es": "^4.17.21", "mermaid": "11.4.1", "mime": "^4.0.4", + "mitt": "^3.0.1", "negotiator": "^0.6.3", "next": "^14.2.10", - "pinyin-pro": "^3.23.0", - "qrcode.react": "^3.1.0", - "qs": "^6.11.1", - "rc-textarea": "^1.5.2", + "pinyin-pro": "^3.25.0", + "qrcode.react": "^4.1.0", + "qs": "^6.13.0", + "rc-textarea": "^1.8.2", "react": "~18.2.0", "react-18-input-autosize": "^3.0.0", "react-dom": "~18.2.0", - "react-easy-crop": "^5.0.8", - "react-error-boundary": "^4.0.2", - "react-hook-form": "^7.51.4", + "react-easy-crop": "^5.1.0", + "react-error-boundary": "^4.1.2", + "react-headless-pagination": "^1.1.6", + "react-hook-form": "^7.53.1", "react-hotkeys-hook": "^4.6.1", - "react-i18next": "^12.2.0", + "react-i18next": "^15.1.0", "react-infinite-scroll-component": "^6.1.0", - "react-markdown": "^8.0.6", - "react-multi-email": "^1.0.14", - "react-papaparse": "^4.1.0", + "react-markdown": "^9.0.1", + "react-multi-email": "^1.0.25", + "react-papaparse": "^4.4.0", "react-pdf-highlighter": "^8.0.0-rc.0", - "react-slider": "^2.0.4", + "react-slider": "^2.0.6", "react-sortablejs": "^6.1.4", - "react-syntax-highlighter": "^15.5.0", + "react-syntax-highlighter": "^15.6.1", "react-tooltip": "5.8.3", - "react-window": "^1.8.9", + "react-window": "^1.8.10", "react-window-infinite-loader": "^1.0.9", "reactflow": "^11.11.3", "recordrtc": "^5.6.2", - "rehype-katex": "^6.0.2", + "rehype-katex": "^7.0.1", "rehype-raw": "^7.0.0", - "remark-breaks": "^3.0.2", - "remark-gfm": "^3.0.1", - "remark-math": "^5.1.1", + "remark-breaks": "^4.0.0", + "remark-gfm": "^4.0.0", + "remark-math": "^6.0.0", "scheduler": "^0.23.0", + "semver": "^7.6.3", "server-only": "^0.0.1", "sharp": "^0.33.2", "shave": "^5.0.4", "sortablejs": "^1.15.0", "swr": "^2.1.0", - "tailwind-merge": "^2.4.0", - "use-context-selector": "^1.4.1", - "uuid": "^9.0.1", - "zod": "^3.23.6", + "tailwind-merge": "^2.5.4", + "use-context-selector": "^2.0.0", + "uuid": "^10.0.0", + "zod": "^3.23.8", "zundo": "^2.1.0", "zustand": "^4.5.2" }, "devDependencies": { - "@antfu/eslint-config": "^0.36.0", - "@chromatic-com/storybook": "^1.9.0", - "@faker-js/faker": "^7.6.0", + "@antfu/eslint-config": "^3.8.0", + "@chromatic-com/storybook": "^3.1.0", + "@eslint-react/eslint-plugin": "^1.15.0", + "@eslint/eslintrc": "^3.1.0", + "@eslint/js": "^9.13.0", + "@faker-js/faker": "^9.0.3", "@rgrove/parse-xml": "^4.1.0", - "@storybook/addon-essentials": "^8.3.5", - "@storybook/addon-interactions": "^8.3.5", - "@storybook/addon-links": "^8.3.5", - "@storybook/addon-onboarding": "^8.3.5", - "@storybook/addon-themes": "^8.3.5", - "@storybook/blocks": "^8.3.5", - "@storybook/nextjs": "^8.3.5", - "@storybook/react": "^8.3.5", - "@storybook/test": "^8.3.5", - "@testing-library/dom": "^10.3.2", - "@testing-library/jest-dom": "^6.4.6", - "@testing-library/react": "^16.0.0", - "@types/crypto-js": "^4.1.1", + "@storybook/addon-essentials": "^8.3.6", + "@storybook/addon-interactions": "^8.3.6", + "@storybook/addon-links": "^8.3.6", + "@storybook/addon-onboarding": "^8.3.6", + "@storybook/addon-themes": "^8.3.6", + "@storybook/blocks": "^8.3.6", + "@storybook/nextjs": "^8.3.6", + "@storybook/react": "^8.3.6", + "@storybook/test": "^8.3.6", + "@testing-library/dom": "^10.4.0", + "@testing-library/jest-dom": "^6.6.2", + "@testing-library/react": "^16.0.1", + "@types/crypto-js": "^4.2.2", "@types/dagre": "^0.7.52", - "@types/jest": "^29.5.12", - "@types/js-cookie": "^3.0.3", - "@types/lodash-es": "^4.17.7", - "@types/negotiator": "^0.6.1", + "@types/jest": "^29.5.13", + "@types/js-cookie": "^3.0.6", + "@types/lodash-es": "^4.17.12", + "@types/negotiator": "^0.6.3", "@types/node": "18.15.0", - "@types/qs": "^6.9.7", + "@types/qs": "^6.9.16", "@types/react": "~18.2.0", "@types/react-dom": "~18.2.0", - "@types/react-slider": "^1.3.1", - "@types/react-syntax-highlighter": "^15.5.6", - "@types/react-window": "^1.8.5", - "@types/react-window-infinite-loader": "^1.0.6", - "@types/recordrtc": "^5.6.11", + "@types/react-slider": "^1.3.6", + "@types/react-syntax-highlighter": "^15.5.13", + "@types/react-window": "^1.8.8", + "@types/react-window-infinite-loader": "^1.0.9", + "@types/recordrtc": "^5.6.14", + "@types/semver": "^7.5.8", "@types/sortablejs": "^1.15.1", - "@types/uuid": "^9.0.8", - "autoprefixer": "^10.4.14", + "@types/uuid": "^10.0.0", + "autoprefixer": "^10.4.20", "bing-translate-api": "^4.0.2", "code-inspector-plugin": "^0.18.1", "cross-env": "^7.0.3", - "eslint": "^8.36.0", - "eslint-config-next": "^14.0.4", - "eslint-plugin-storybook": "^0.9.0", - "husky": "^8.0.3", + "eslint": "^9.13.0", + "eslint-config-next": "^15.0.0", + "eslint-plugin-react-hooks": "^5.0.0", + "eslint-plugin-react-refresh": "^0.4.13", + "eslint-plugin-storybook": "^0.10.1", + "eslint-plugin-tailwindcss": "^3.17.5", + "husky": "^9.1.6", "jest": "^29.7.0", "jest-environment-jsdom": "^29.7.0", - "lint-staged": "^13.2.2", + "lint-staged": "^15.2.10", "magicast": "^0.3.4", - "postcss": "^8.4.31", - "sass": "^1.61.0", - "storybook": "^8.3.5", - "tailwindcss": "^3.4.4", + "postcss": "^8.4.47", + "sass": "^1.80.3", + "storybook": "^8.3.6", + "tailwindcss": "^3.4.14", "ts-node": "^10.9.2", "typescript": "4.9.5", - "uglify-js": "^3.17.4" + "uglify-js": "^3.19.3" }, "resolutions": { "@types/react": "~18.2.0", @@ -181,4 +196,4 @@ "eslint --fix" ] } -} +} \ No newline at end of file diff --git a/web/pnpm-lock.yaml b/web/pnpm-lock.yaml new file mode 100644 index 00000000000000..cd2101df52f6ce --- /dev/null +++ b/web/pnpm-lock.yaml @@ -0,0 +1,18312 @@ +lockfileVersion: '9.0' + +settings: + autoInstallPeers: true + excludeLinksFromLockfile: false + +overrides: + '@types/react': ~18.2.0 + '@types/react-dom': ~18.2.0 + string-width: 4.2.3 + +importers: + + .: + dependencies: + '@babel/runtime': + specifier: ^7.22.3 + version: 7.25.7 + '@dagrejs/dagre': + specifier: ^1.1.4 + version: 1.1.4 + '@emoji-mart/data': + specifier: ^1.2.1 + version: 1.2.1 + '@eslint/compat': + specifier: ^1.2.4 + version: 1.2.4(eslint@9.13.0(jiti@1.21.6)) + '@floating-ui/react': + specifier: ^0.26.25 + version: 0.26.27(react-dom@18.2.0(react@18.2.0))(react@18.2.0) + '@formatjs/intl-localematcher': + specifier: ^0.5.6 + version: 0.5.6 + '@headlessui/react': + specifier: ^1.7.13 + version: 1.7.19(react-dom@18.2.0(react@18.2.0))(react@18.2.0) + '@heroicons/react': + specifier: ^2.0.16 + version: 2.1.5(react@18.2.0) + '@hookform/resolvers': + specifier: ^3.9.0 + version: 3.9.0(react-hook-form@7.53.1(react@18.2.0)) + '@lexical/react': + 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ThoughtItem } from '@/app/components/base/chat/chat/type' import type { VisionFile } from '@/types/app' import type { + AgentLogResponse, IterationFinishedResponse, IterationNextResponse, IterationStartedResponse, @@ -17,28 +18,11 @@ import type { WorkflowStartedResponse, } from '@/types/workflow' import { removeAccessToken } from '@/app/components/share/utils' +import type { FetchOptionType, ResponseError } from './fetch' +import { ContentType, base, baseOptions, getAccessToken } from './fetch' import { asyncRunSafe } from '@/utils' const TIME_OUT = 100000 -const ContentType = { - json: 'application/json', - stream: 'text/event-stream', - audio: 'audio/mpeg', - form: 'application/x-www-form-urlencoded; charset=UTF-8', - download: 'application/octet-stream', // for download - upload: 'multipart/form-data', // for upload -} - -const baseOptions = { - method: 'GET', - mode: 'cors', - credentials: 'include', // always send cookies、HTTP Basic authentication. - headers: new Headers({ - 'Content-Type': ContentType.json, - }), - redirect: 'follow', -} - export type IOnDataMoreInfo = { conversationId?: string taskId?: string @@ -70,9 +54,11 @@ export type IOnTextChunk = (textChunk: TextChunkResponse) => void export type IOnTTSChunk = (messageId: string, audioStr: string, audioType?: string) => void export type IOnTTSEnd = (messageId: string, audioStr: string, audioType?: string) => void export type IOnTextReplace = (textReplace: TextReplaceResponse) => void +export type IOnAgentLog = (agentLog: AgentLogResponse) => void export type IOtherOptions = { isPublicAPI?: boolean + isMarketplaceAPI?: boolean bodyStringify?: boolean needAllResponseContent?: boolean deleteContentType?: boolean @@ -100,17 +86,7 @@ export type IOtherOptions = { onTTSChunk?: IOnTTSChunk onTTSEnd?: IOnTTSEnd onTextReplace?: IOnTextReplace -} - -type ResponseError = { - code: string - message: string - status: number -} - -type FetchOptionType = Omit<RequestInit, 'body'> & { - params?: Record<string, any> - body?: BodyInit | Record<string, any> | null + onAgentLog?: IOnAgentLog } function unicodeToChar(text: string) { @@ -118,7 +94,7 @@ function unicodeToChar(text: string) { return '' return text.replace(/\\u[0-9a-f]{4}/g, (_match, p1) => { - return String.fromCharCode(parseInt(p1, 16)) + return String.fromCharCode(Number.parseInt(p1, 16)) }) } @@ -126,24 +102,6 @@ function requiredWebSSOLogin() { globalThis.location.href = `/webapp-signin?redirect_url=${globalThis.location.pathname}` } -function getAccessToken(isPublicAPI?: boolean) { - if (isPublicAPI) { - const sharedToken = globalThis.location.pathname.split('/').slice(-1)[0] - const accessToken = localStorage.getItem('token') || JSON.stringify({ [sharedToken]: '' }) - let accessTokenJson = { [sharedToken]: '' } - try { - accessTokenJson = JSON.parse(accessToken) - } - catch (e) { - - } - return accessTokenJson[sharedToken] - } - else { - return localStorage.getItem('console_token') || '' - } -} - export function format(text: string) { let res = text.trim() if (res.startsWith('\n')) @@ -174,6 +132,7 @@ const handleStream = ( onTTSChunk?: IOnTTSChunk, onTTSEnd?: IOnTTSEnd, onTextReplace?: IOnTextReplace, + onAgentLog?: IOnAgentLog, ) => { if (!response.ok) throw new Error('Network response was not ok') @@ -274,6 +233,9 @@ const handleStream = ( else if (bufferObj.event === 'text_replace') { onTextReplace?.(bufferObj as TextReplaceResponse) } + else if (bufferObj.event === 'agent_log') { + onAgentLog?.(bufferObj as AgentLogResponse) + } else if (bufferObj.event === 'tts_message') { onTTSChunk?.(bufferObj.message_id, bufferObj.audio, bufferObj.audio_type) } @@ -301,115 +263,7 @@ const handleStream = ( read() } -const baseFetch = <T>( - url: string, - fetchOptions: FetchOptionType, - { - isPublicAPI = false, - bodyStringify = true, - needAllResponseContent, - deleteContentType, - getAbortController, - silent, - }: IOtherOptions, -): Promise<T> => { - const options: typeof baseOptions & FetchOptionType = Object.assign({}, baseOptions, fetchOptions) - if (getAbortController) { - const abortController = new AbortController() - getAbortController(abortController) - options.signal = abortController.signal - } - const accessToken = getAccessToken(isPublicAPI) - options.headers.set('Authorization', `Bearer ${accessToken}`) - - if (deleteContentType) { - options.headers.delete('Content-Type') - } - else { - const contentType = options.headers.get('Content-Type') - if (!contentType) - options.headers.set('Content-Type', ContentType.json) - } - - const urlPrefix = isPublicAPI ? PUBLIC_API_PREFIX : API_PREFIX - let urlWithPrefix = (url.startsWith('http://') || url.startsWith('https://')) - ? url - : `${urlPrefix}${url.startsWith('/') ? url : `/${url}`}` - - const { method, params, body } = options - // handle query - if (method === 'GET' && params) { - const paramsArray: string[] = [] - Object.keys(params).forEach(key => - paramsArray.push(`${key}=${encodeURIComponent(params[key])}`), - ) - if (urlWithPrefix.search(/\?/) === -1) - urlWithPrefix += `?${paramsArray.join('&')}` - - else - urlWithPrefix += `&${paramsArray.join('&')}` - - delete options.params - } - - if (body && bodyStringify) - options.body = JSON.stringify(body) - - // Handle timeout - return Promise.race([ - new Promise((resolve, reject) => { - setTimeout(() => { - reject(new Error('request timeout')) - }, TIME_OUT) - }), - new Promise((resolve, reject) => { - globalThis.fetch(urlWithPrefix, options as RequestInit) - .then((res) => { - const resClone = res.clone() - // Error handler - if (!/^(2|3)\d{2}$/.test(String(res.status))) { - const bodyJson = res.json() - switch (res.status) { - case 401: - return Promise.reject(resClone) - case 403: - bodyJson.then((data: ResponseError) => { - if (!silent) - Toast.notify({ type: 'error', message: data.message }) - if (data.code === 'already_setup') - globalThis.location.href = `${globalThis.location.origin}/signin` - }) - break - // fall through - default: - bodyJson.then((data: ResponseError) => { - if (!silent) - Toast.notify({ type: 'error', message: data.message }) - }) - } - return Promise.reject(resClone) - } - - // handle delete api. Delete api not return content. - if (res.status === 204) { - resolve({ result: 'success' }) - return - } - - // return data - if (options.headers.get('Content-type') === ContentType.download || options.headers.get('Content-type') === ContentType.audio) - resolve(needAllResponseContent ? resClone : res.blob()) - - else resolve(needAllResponseContent ? resClone : res.json()) - }) - .catch((err) => { - if (!silent) - Toast.notify({ type: 'error', message: err }) - reject(err) - }) - }), - ]) as Promise<T> -} +const baseFetch = base export const upload = (options: any, isPublicAPI?: boolean, url?: string, searchParams?: string): Promise<any> => { const urlPrefix = isPublicAPI ? PUBLIC_API_PREFIX : API_PREFIX @@ -475,19 +329,25 @@ export const ssePost = ( onTTSChunk, onTTSEnd, onTextReplace, + onAgentLog, onError, getAbortController, } = otherOptions const abortController = new AbortController() + const token = localStorage.getItem('console_token') + const options = Object.assign({}, baseOptions, { method: 'POST', signal: abortController.signal, - }, fetchOptions) + headers: new Headers({ + Authorization: `Bearer ${token}`, + }), + } as RequestInit, fetchOptions) - const contentType = options.headers.get('Content-Type') + const contentType = (options.headers as Headers).get('Content-Type') if (!contentType) - options.headers.set('Content-Type', ContentType.json) + (options.headers as Headers).set('Content-Type', ContentType.json) getAbortController?.(abortController) @@ -501,7 +361,7 @@ export const ssePost = ( options.body = JSON.stringify(body) const accessToken = getAccessToken(isPublicAPI) - options.headers.set('Authorization', `Bearer ${accessToken}`) + options.headers!.set('Authorization', `Bearer ${accessToken}`) globalThis.fetch(urlWithPrefix, options as RequestInit) .then((res) => { @@ -540,7 +400,7 @@ export const ssePost = ( return } onData?.(str, isFirstMessage, moreInfo) - }, onCompleted, onThought, onMessageEnd, onMessageReplace, onFile, onWorkflowStarted, onWorkflowFinished, onNodeStarted, onNodeFinished, onIterationStart, onIterationNext, onIterationFinish, onNodeRetry, onParallelBranchStarted, onParallelBranchFinished, onTextChunk, onTTSChunk, onTTSEnd, onTextReplace) + }, onCompleted, onThought, onMessageEnd, onMessageReplace, onFile, onWorkflowStarted, onWorkflowFinished, onNodeStarted, onNodeFinished, onIterationStart, onIterationNext, onIterationFinish, onNodeRetry, onParallelBranchStarted, onParallelBranchFinished, onTextChunk, onTTSChunk, onTTSEnd, onTextReplace, onAgentLog) }).catch((e) => { if (e.toString() !== 'AbortError: The user aborted a request.' && !e.toString().errorMessage.includes('TypeError: Cannot assign to read only property')) Toast.notify({ type: 'error', message: e }) @@ -633,10 +493,20 @@ export const getPublic = <T>(url: string, options = {}, otherOptions?: IOtherOpt return get<T>(url, options, { ...otherOptions, isPublicAPI: true }) } +// For Marketplace API +export const getMarketplace = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => { + return get<T>(url, options, { ...otherOptions, isMarketplaceAPI: true }) +} + export const post = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => { return request<T>(url, Object.assign({}, options, { method: 'POST' }), otherOptions) } +// For Marketplace API +export const postMarketplace = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => { + return post<T>(url, options, { ...otherOptions, isMarketplaceAPI: true }) +} + export const postPublic = <T>(url: string, options = {}, otherOptions?: IOtherOptions) => { return post<T>(url, options, { ...otherOptions, isPublicAPI: true }) } diff --git a/web/service/common.ts b/web/service/common.ts index 5910965ec26d76..770b839668d25a 100644 --- a/web/service/common.ts +++ b/web/service/common.ts @@ -257,10 +257,6 @@ export const fetchFileUploadConfig: Fetcher<FileUploadConfigResponse, { url: str return get<FileUploadConfigResponse>(url) } -export const fetchFreeQuotaVerify: Fetcher<{ result: string; flag: boolean; reason: string }, string> = (url) => { - return get(url) as Promise<{ result: string; flag: boolean; reason: string }> -} - export const fetchNotionConnection: Fetcher<{ data: string }, string> = (url) => { return get(url) as Promise<{ data: string }> } @@ -298,7 +294,7 @@ export const moderate = (url: string, body: { app_id: string; text: string }) => } type RetrievalMethodsRes = { - 'retrieval_method': RETRIEVE_METHOD[] + retrieval_method: RETRIEVE_METHOD[] } export const fetchSupportRetrievalMethods: Fetcher<RetrievalMethodsRes, string> = (url) => { return get<RetrievalMethodsRes>(url) diff --git a/web/service/debug.ts b/web/service/debug.ts index 3770c4d398d186..093cddfd62c534 100644 --- a/web/service/debug.ts +++ b/web/service/debug.ts @@ -3,13 +3,13 @@ import type { IOnCompleted, IOnData, IOnError, IOnFile, IOnMessageEnd, IOnMessag import type { ChatPromptConfig, CompletionPromptConfig } from '@/models/debug' import type { ModelModeType } from '@/types/app' import type { ModelParameterRule } from '@/app/components/header/account-setting/model-provider-page/declarations' -export type AutomaticRes = { +export interface AutomaticRes { prompt: string variables: string[] opening_statement: string error?: string } -export type CodeGenRes = { +export interface CodeGenRes { code: string language: string[] error?: string diff --git a/web/service/fetch.ts b/web/service/fetch.ts new file mode 100644 index 00000000000000..10643173bcf802 --- /dev/null +++ b/web/service/fetch.ts @@ -0,0 +1,205 @@ +import type { AfterResponseHook, BeforeErrorHook, BeforeRequestHook, Hooks } from 'ky' +import ky from 'ky' +import type { IOtherOptions } from './base' +import Toast from '@/app/components/base/toast' +import { API_PREFIX, MARKETPLACE_API_PREFIX, PUBLIC_API_PREFIX } from '@/config' + +const TIME_OUT = 100000 + +export const ContentType = { + json: 'application/json', + stream: 'text/event-stream', + audio: 'audio/mpeg', + form: 'application/x-www-form-urlencoded; charset=UTF-8', + download: 'application/octet-stream', // for download + downloadZip: 'application/zip', // for download + upload: 'multipart/form-data', // for upload +} + +export type FetchOptionType = Omit<RequestInit, 'body'> & { + params?: Record<string, any> + body?: BodyInit | Record<string, any> | null +} + +const afterResponse204: AfterResponseHook = async (_request, _options, response) => { + if (response.status === 204) return Response.json({ result: 'success' }) +} + +export type ResponseError = { + code: string + message: string + status: number +} + +const afterResponseErrorCode = (otherOptions: IOtherOptions): AfterResponseHook => { + return async (_request, _options, response) => { + const clonedResponse = response.clone() + if (!/^(2|3)\d{2}$/.test(String(clonedResponse.status))) { + const bodyJson = clonedResponse.json() as Promise<ResponseError> + switch (clonedResponse.status) { + case 403: + bodyJson.then((data: ResponseError) => { + if (!otherOptions.silent) + Toast.notify({ type: 'error', message: data.message }) + if (data.code === 'already_setup') + globalThis.location.href = `${globalThis.location.origin}/signin` + }) + break + case 401: + return Promise.reject(response) + // fall through + default: + bodyJson.then((data: ResponseError) => { + if (!otherOptions.silent) + Toast.notify({ type: 'error', message: data.message }) + }) + return Promise.reject(response) + } + } + } +} + +const beforeErrorToast = (otherOptions: IOtherOptions): BeforeErrorHook => { + return (error) => { + if (!otherOptions.silent) + Toast.notify({ type: 'error', message: error.message }) + return error + } +} + +export const getPublicToken = () => { + let token = '' + const sharedToken = globalThis.location.pathname.split('/').slice(-1)[0] + const accessToken = localStorage.getItem('token') || JSON.stringify({ [sharedToken]: '' }) + let accessTokenJson = { [sharedToken]: '' } + try { + accessTokenJson = JSON.parse(accessToken) + } + catch { } + token = accessTokenJson[sharedToken] + return token || '' +} + +export function getAccessToken(isPublicAPI?: boolean) { + if (isPublicAPI) { + const sharedToken = globalThis.location.pathname.split('/').slice(-1)[0] + const accessToken = localStorage.getItem('token') || JSON.stringify({ [sharedToken]: '' }) + let accessTokenJson = { [sharedToken]: '' } + try { + accessTokenJson = JSON.parse(accessToken) + } + catch (e) { + + } + return accessTokenJson[sharedToken] + } + else { + return localStorage.getItem('console_token') || '' + } +} + +const beforeRequestPublicAuthorization: BeforeRequestHook = (request) => { + const token = getAccessToken(true) + request.headers.set('Authorization', `Bearer ${token}`) +} + +const beforeRequestAuthorization: BeforeRequestHook = (request) => { + const accessToken = getAccessToken() + request.headers.set('Authorization', `Bearer ${accessToken}`) +} + +const baseHooks: Hooks = { + afterResponse: [ + afterResponse204, + ], +} + +const baseClient = ky.create({ + hooks: baseHooks, + timeout: TIME_OUT, +}) + +export const baseOptions: RequestInit = { + method: 'GET', + mode: 'cors', + credentials: 'include', // always send cookies、HTTP Basic authentication. + headers: new Headers({ + 'Content-Type': ContentType.json, + }), + redirect: 'follow', +} + +async function base<T>(url: string, options: FetchOptionType = {}, otherOptions: IOtherOptions = {}): Promise<T> { + const { params, body, headers, ...init } = Object.assign({}, baseOptions, options) + const { + isPublicAPI = false, + isMarketplaceAPI = false, + bodyStringify = true, + needAllResponseContent, + deleteContentType, + getAbortController, + } = otherOptions + + const base + = isMarketplaceAPI + ? MARKETPLACE_API_PREFIX + : isPublicAPI + ? PUBLIC_API_PREFIX + : API_PREFIX + + if (getAbortController) { + const abortController = new AbortController() + getAbortController(abortController) + options.signal = abortController.signal + } + + const fetchPathname = `${base}${url.startsWith('/') ? url : `/${url}`}` + + if (deleteContentType) + (headers as any).delete('Content-Type') + + const client = baseClient.extend({ + hooks: { + ...baseHooks, + beforeError: [ + ...baseHooks.beforeError || [], + beforeErrorToast(otherOptions), + ], + beforeRequest: [ + ...baseHooks.beforeRequest || [], + isPublicAPI && beforeRequestPublicAuthorization, + !isPublicAPI && !isMarketplaceAPI && beforeRequestAuthorization, + ].filter(Boolean), + afterResponse: [ + ...baseHooks.afterResponse || [], + afterResponseErrorCode(otherOptions), + ], + }, + }) + + const res = await client(fetchPathname, { + ...init, + headers, + credentials: isMarketplaceAPI + ? 'omit' + : (options.credentials || 'include'), + retry: { + methods: [], + }, + ...(bodyStringify ? { json: body } : { body: body as BodyInit }), + searchParams: params, + }) + + if (needAllResponseContent) + return res as T + const contentType = res.headers.get('content-type') + if ( + contentType + && [ContentType.download, ContentType.audio, ContentType.downloadZip].includes(contentType) + ) + return await res.blob() as T + + return await res.json() as T +} + +export { base } diff --git a/web/service/knowledge/use-create-dataset.ts b/web/service/knowledge/use-create-dataset.ts index ecd3f87a9357b0..88ef1d9ffaf1d9 100644 --- a/web/service/knowledge/use-create-dataset.ts +++ b/web/service/knowledge/use-create-dataset.ts @@ -2,7 +2,7 @@ import groupBy from 'lodash-es/groupBy' import type { MutationOptions } from '@tanstack/react-query' import { useMutation } from '@tanstack/react-query' import { createDocument, createFirstDocument, fetchDefaultProcessRule, fetchFileIndexingEstimate } from '../datasets' -import { type IndexingType } from '@/app/components/datasets/create/step-two' +import type { IndexingType } from '@/app/components/datasets/create/step-two' import type { ChunkingMode, CrawlOptions, CrawlResultItem, CreateDocumentReq, CustomFile, DataSourceType, FileIndexingEstimateResponse, IndexingEstimateParams, NotionInfo, ProcessRule, ProcessRuleResponse, createDocumentResponse } from '@/models/datasets' import type { DataSourceProvider, NotionPage } from '@/models/common' diff --git a/web/service/plugins.ts b/web/service/plugins.ts new file mode 100644 index 00000000000000..0a880b865fd432 --- /dev/null +++ b/web/service/plugins.ts @@ -0,0 +1,108 @@ +import type { Fetcher } from 'swr' +import { get, getMarketplace, post, upload } from './base' +import type { + Dependency, + InstallPackageResponse, + Permissions, + PluginDeclaration, + PluginInfoFromMarketPlace, + PluginManifestInMarket, + PluginTasksResponse, + TaskStatusResponse, + UninstallPluginResponse, + updatePackageResponse, + uploadGitHubResponse, +} from '@/app/components/plugins/types' +import type { + MarketplaceCollectionPluginsResponse, + MarketplaceCollectionsResponse, +} from '@/app/components/plugins/marketplace/types' + +export const uploadFile = async (file: File, isBundle: boolean) => { + const formData = new FormData() + formData.append(isBundle ? 'bundle' : 'pkg', file) + return upload({ + xhr: new XMLHttpRequest(), + data: formData, + }, false, `/workspaces/current/plugin/upload/${isBundle ? 'bundle' : 'pkg'}`) +} + +export const updateFromMarketPlace = async (body: Record<string, string>) => { + return post<InstallPackageResponse>('/workspaces/current/plugin/upgrade/marketplace', { + body, + }) +} + +export const updateFromGitHub = async (repoUrl: string, selectedVersion: string, selectedPackage: string, + originalPlugin: string, newPlugin: string) => { + return post<updatePackageResponse>('/workspaces/current/plugin/upgrade/github', { + body: { + repo: repoUrl, + version: selectedVersion, + package: selectedPackage, + original_plugin_unique_identifier: originalPlugin, + new_plugin_unique_identifier: newPlugin, + }, + }) +} + +export const uploadGitHub = async (repoUrl: string, selectedVersion: string, selectedPackage: string) => { + return post<uploadGitHubResponse>('/workspaces/current/plugin/upload/github', { + body: { + repo: repoUrl, + version: selectedVersion, + package: selectedPackage, + }, + }) +} + +export const fetchIcon = (tenantId: string, fileName: string) => { + return get(`workspaces/current/plugin/icon?tenant_id=${tenantId}&filename=${fileName}`) +} + +export const fetchManifest = async (uniqueIdentifier: string) => { + return get<PluginDeclaration>(`/workspaces/current/plugin/fetch-manifest?plugin_unique_identifier=${uniqueIdentifier}`) +} + +export const fetchManifestFromMarketPlace = async (uniqueIdentifier: string) => { + return getMarketplace<{ data: { plugin: PluginManifestInMarket, version: { version: string } } }>(`/plugins/identifier?unique_identifier=${uniqueIdentifier}`) +} + +export const fetchBundleInfoFromMarketPlace = async ({ + org, + name, + version, +}: Record<string, string>) => { + return getMarketplace<{ data: { version: { dependencies: Dependency[] } } }>(`/bundles/${org}/${name}/${version}`) +} + +export const fetchPluginInfoFromMarketPlace = async ({ + org, + name, +}: Record<string, string>) => { + return getMarketplace<{ data: { plugin: PluginInfoFromMarketPlace, version: { version: string } } }>(`/plugins/${org}/${name}`) +} + +export const fetchMarketplaceCollections: Fetcher<MarketplaceCollectionsResponse, { url: string; }> = ({ url }) => { + return get<MarketplaceCollectionsResponse>(url) +} + +export const fetchMarketplaceCollectionPlugins: Fetcher<MarketplaceCollectionPluginsResponse, { url: string }> = ({ url }) => { + return get<MarketplaceCollectionPluginsResponse>(url) +} + +export const fetchPluginTasks = async () => { + return get<PluginTasksResponse>('/workspaces/current/plugin/tasks?page=1&page_size=255') +} + +export const checkTaskStatus = async (taskId: string) => { + return get<TaskStatusResponse>(`/workspaces/current/plugin/tasks/${taskId}`) +} + +export const updatePermission = async (permissions: Permissions) => { + return post('/workspaces/current/plugin/permission/change', { body: permissions }) +} + +export const uninstallPlugin = async (pluginId: string) => { + return post<UninstallPluginResponse>('/workspaces/current/plugin/uninstall', { body: { plugin_installation_id: pluginId } }) +} diff --git a/web/service/strategy.ts b/web/service/strategy.ts new file mode 100644 index 00000000000000..bb032ba286b9d4 --- /dev/null +++ b/web/service/strategy.ts @@ -0,0 +1,10 @@ +import type { StrategyPluginDetail } from '@/app/components/plugins/types' +import { get } from './base' + +export const fetchStrategyList = () => { + return get<StrategyPluginDetail[]>('/workspaces/current/agent-providers') +} + +export const fetchStrategyDetail = (agentProvider: string) => { + return get<StrategyPluginDetail>(`/workspaces/current/agent-provider/${agentProvider}`) +} diff --git a/web/service/tools.ts b/web/service/tools.ts index 90221edec23dc5..d6b2f2034b6f30 100644 --- a/web/service/tools.ts +++ b/web/service/tools.ts @@ -15,6 +15,10 @@ export const fetchCollectionList = () => { return get<Collection[]>('/workspaces/current/tool-providers') } +export const fetchCollectionDetail = (collectionName: string) => { + return get<Collection>(`/workspaces/current/tool-provider/${collectionName}/info`) +} + export const fetchBuiltInToolList = (collectionName: string) => { return get<Tool[]>(`/workspaces/current/tool-provider/builtin/${collectionName}/tools`) } diff --git a/web/service/use-apps.ts b/web/service/use-apps.ts new file mode 100644 index 00000000000000..1a3e9cedbbe017 --- /dev/null +++ b/web/service/use-apps.ts @@ -0,0 +1,27 @@ +import { get } from './base' +import type { App } from '@/types/app' +import type { AppListResponse } from '@/models/app' +import { useInvalid } from './use-base' +import { useQuery } from '@tanstack/react-query' + +const NAME_SPACE = 'apps' + +// TODO paging for list +const useAppFullListKey = [NAME_SPACE, 'full-list'] +export const useAppFullList = () => { + return useQuery<AppListResponse>({ + queryKey: useAppFullListKey, + queryFn: () => get<AppListResponse>('/apps', { params: { page: 1, limit: 100 } }), + }) +} + +export const useInvalidateAppFullList = () => { + return useInvalid(useAppFullListKey) +} + +export const useAppDetail = (appID: string) => { + return useQuery<App>({ + queryKey: [NAME_SPACE, 'detail', appID], + queryFn: () => get<App>(`/apps/${appID}`), + }) +} diff --git a/web/service/use-common.ts b/web/service/use-common.ts new file mode 100644 index 00000000000000..98ab5359480003 --- /dev/null +++ b/web/service/use-common.ts @@ -0,0 +1,14 @@ +import { get } from './base' +import type { + FileUploadConfigResponse, +} from '@/models/common' +import { useQuery } from '@tanstack/react-query' + +const NAME_SPACE = 'common' + +export const useFileUploadConfig = () => { + return useQuery<FileUploadConfigResponse>({ + queryKey: [NAME_SPACE, 'file-upload-config'], + queryFn: () => get<FileUploadConfigResponse>('/files/upload'), + }) +} diff --git a/web/service/use-endpoints.ts b/web/service/use-endpoints.ts new file mode 100644 index 00000000000000..43a82480b91d4a --- /dev/null +++ b/web/service/use-endpoints.ts @@ -0,0 +1,149 @@ +import { get, post } from './base' +import type { + EndpointsResponse, +} from '@/app/components/plugins/types' +import { + useMutation, + useQuery, + useQueryClient, +} from '@tanstack/react-query' + +const NAME_SPACE = 'endpoints' + +export const useEndpointList = (pluginID: string) => { + return useQuery({ + queryKey: [NAME_SPACE, 'list', pluginID], + queryFn: () => get<EndpointsResponse>('/workspaces/current/endpoints/list/plugin', { + params: { + plugin_id: pluginID, + page: 1, + page_size: 100, + }, + }), + }) +} + +export const useInvalidateEndpointList = () => { + const queryClient = useQueryClient() + return (pluginID: string) => { + queryClient.invalidateQueries( + { + queryKey: [NAME_SPACE, 'list', pluginID], + }) + } +} + +export const useCreateEndpoint = ({ + onSuccess, + onError, +}: { + onSuccess?: () => void + onError?: (error: any) => void +}) => { + return useMutation({ + mutationKey: [NAME_SPACE, 'create'], + mutationFn: (payload: { pluginUniqueID: string, state: Record<string, any> }) => { + const { pluginUniqueID, state } = payload + const newName = state.name + delete state.name + return post('/workspaces/current/endpoints/create', { + body: { + plugin_unique_identifier: pluginUniqueID, + settings: state, + name: newName, + }, + }) + }, + onSuccess, + onError, + }) +} + +export const useUpdateEndpoint = ({ + onSuccess, + onError, +}: { + onSuccess?: () => void + onError?: (error: any) => void +}) => { + return useMutation({ + mutationKey: [NAME_SPACE, 'update'], + mutationFn: (payload: { endpointID: string, state: Record<string, any> }) => { + const { endpointID, state } = payload + const newName = state.name + delete state.name + return post('/workspaces/current/endpoints/update', { + body: { + endpoint_id: endpointID, + settings: state, + name: newName, + }, + }) + }, + onSuccess, + onError, + }) +} + +export const useDeleteEndpoint = ({ + onSuccess, + onError, +}: { + onSuccess?: () => void + onError?: (error: any) => void +}) => { + return useMutation({ + mutationKey: [NAME_SPACE, 'delete'], + mutationFn: (endpointID: string) => { + return post('/workspaces/current/endpoints/delete', { + body: { + endpoint_id: endpointID, + }, + }) + }, + onSuccess, + onError, + }) +} + +export const useEnableEndpoint = ({ + onSuccess, + onError, +}: { + onSuccess?: () => void + onError?: (error: any) => void +}) => { + return useMutation({ + mutationKey: [NAME_SPACE, 'enable'], + mutationFn: (endpointID: string) => { + return post('/workspaces/current/endpoints/enable', { + body: { + endpoint_id: endpointID, + }, + }) + }, + onSuccess, + onError, + }) +} + +export const useDisableEndpoint = ({ + onSuccess, + onError, +}: { + onSuccess?: () => void + onError?: (error: any) => void +}) => { + return useMutation({ + mutationKey: [NAME_SPACE, 'disable'], + mutationFn: (endpointID: string) => { + return post('/workspaces/current/endpoints/disable', { + body: { + endpoint_id: endpointID, + }, + }) + }, + onSuccess, + onError, + }) +} diff --git a/web/service/use-models.ts b/web/service/use-models.ts new file mode 100644 index 00000000000000..84122cdd1fceb3 --- /dev/null +++ b/web/service/use-models.ts @@ -0,0 +1,17 @@ +import { get } from './base' +import type { + ModelItem, +} from '@/app/components/header/account-setting/model-provider-page/declarations' +import { + useQuery, + // useQueryClient, +} from '@tanstack/react-query' + +const NAME_SPACE = 'models' + +export const useModelProviderModelList = (provider: string) => { + return useQuery({ + queryKey: [NAME_SPACE, 'model-list', provider], + queryFn: () => get<{ data: ModelItem[] }>(`/workspaces/current/model-providers/${provider}/models`), + }) +} diff --git a/web/service/use-plugins.ts b/web/service/use-plugins.ts new file mode 100644 index 00000000000000..e05ae37c88f775 --- /dev/null +++ b/web/service/use-plugins.ts @@ -0,0 +1,495 @@ +import { useCallback } from 'react' +import type { + ModelProvider, +} from '@/app/components/header/account-setting/model-provider-page/declarations' +import { fetchModelProviderModelList } from '@/service/common' +import { fetchPluginInfoFromMarketPlace } from '@/service/plugins' +import type { + DebugInfo as DebugInfoTypes, + Dependency, + GitHubItemAndMarketPlaceDependency, + InstallPackageResponse, + InstalledPluginListResponse, + PackageDependency, + Permissions, + Plugin, + PluginDetail, + PluginInfoFromMarketPlace, + PluginTask, + PluginType, + PluginsFromMarketplaceByInfoResponse, + PluginsFromMarketplaceResponse, + VersionInfo, + VersionListResponse, + uploadGitHubResponse, +} from '@/app/components/plugins/types' +import { TaskStatus } from '@/app/components/plugins/types' +import { PluginType as PluginTypeEnum } from '@/app/components/plugins/types' +import type { + PluginsSearchParams, +} from '@/app/components/plugins/marketplace/types' +import { get, getMarketplace, post, postMarketplace } from './base' +import type { MutateOptions, QueryOptions } from '@tanstack/react-query' +import { + useMutation, + useQuery, + useQueryClient, +} from '@tanstack/react-query' +import { useInvalidateAllBuiltInTools } from './use-tools' +import usePermission from '@/app/components/plugins/plugin-page/use-permission' +import { uninstallPlugin } from '@/service/plugins' +import useRefreshPluginList from '@/app/components/plugins/install-plugin/hooks/use-refresh-plugin-list' + +const NAME_SPACE = 'plugins' + +const useInstalledPluginListKey = [NAME_SPACE, 'installedPluginList'] +export const useCheckInstalled = ({ + pluginIds, + enabled, +}: { + pluginIds: string[], + enabled: boolean +}) => { + return useQuery<{ plugins: PluginDetail[] }>({ + queryKey: [NAME_SPACE, 'checkInstalled', pluginIds], + queryFn: () => post<{ plugins: PluginDetail[] }>('/workspaces/current/plugin/list/installations/ids', { + body: { + plugin_ids: pluginIds, + }, + }), + enabled, + staleTime: 0, // always fresh + }) +} + +export const useInstalledPluginList = (disable?: boolean) => { + return useQuery<InstalledPluginListResponse>({ + queryKey: useInstalledPluginListKey, + queryFn: () => get<InstalledPluginListResponse>('/workspaces/current/plugin/list'), + enabled: !disable, + initialData: !disable ? undefined : { plugins: [] }, + }) +} + +export const useInvalidateInstalledPluginList = () => { + const queryClient = useQueryClient() + const invalidateAllBuiltInTools = useInvalidateAllBuiltInTools() + return () => { + queryClient.invalidateQueries( + { + queryKey: useInstalledPluginListKey, + }) + invalidateAllBuiltInTools() + } +} + +export const useInstallPackageFromMarketPlace = (options?: MutateOptions<InstallPackageResponse, Error, string>) => { + return useMutation({ + ...options, + mutationFn: (uniqueIdentifier: string) => { + return post<InstallPackageResponse>('/workspaces/current/plugin/install/marketplace', { body: { plugin_unique_identifiers: [uniqueIdentifier] } }) + }, + }) +} + +export const useUpdatePackageFromMarketPlace = (options?: MutateOptions<InstallPackageResponse, Error, object>) => { + return useMutation({ + ...options, + mutationFn: (body: object) => { + return post<InstallPackageResponse>('/workspaces/current/plugin/upgrade/marketplace', { + body, + }) + }, + }) +} + +export const useVersionListOfPlugin = (pluginID: string) => { + return useQuery<{ data: VersionListResponse }>({ + enabled: !!pluginID, + queryKey: [NAME_SPACE, 'versions', pluginID], + queryFn: () => getMarketplace<{ data: VersionListResponse }>(`/plugins/${pluginID}/versions`, { params: { page: 1, page_size: 100 } }), + }) +} +export const useInvalidateVersionListOfPlugin = () => { + const queryClient = useQueryClient() + return (pluginID: string) => { + queryClient.invalidateQueries({ queryKey: [NAME_SPACE, 'versions', pluginID] }) + } +} + +export const useInstallPackageFromLocal = () => { + return useMutation({ + mutationFn: (uniqueIdentifier: string) => { + return post<InstallPackageResponse>('/workspaces/current/plugin/install/pkg', { + body: { plugin_unique_identifiers: [uniqueIdentifier] }, + }) + }, + }) +} + +export const useInstallPackageFromGitHub = () => { + return useMutation({ + mutationFn: ({ repoUrl, selectedVersion, selectedPackage, uniqueIdentifier }: { + repoUrl: string + selectedVersion: string + selectedPackage: string + uniqueIdentifier: string + }) => { + return post<InstallPackageResponse>('/workspaces/current/plugin/install/github', { + body: { + repo: repoUrl, + version: selectedVersion, + package: selectedPackage, + plugin_unique_identifier: uniqueIdentifier, + }, + }) + }, + }) +} + +export const useUploadGitHub = (payload: { + repo: string + version: string + package: string +}) => { + return useQuery({ + queryKey: [NAME_SPACE, 'uploadGitHub', payload], + queryFn: () => post<uploadGitHubResponse>('/workspaces/current/plugin/upload/github', { + body: payload, + }), + retry: 0, + }) +} + +export const useInstallOrUpdate = ({ + onSuccess, +}: { + onSuccess?: (res: { success: boolean }[]) => void +}) => { + const { mutateAsync: updatePackageFromMarketPlace } = useUpdatePackageFromMarketPlace() + + return useMutation({ + mutationFn: (data: { + payload: Dependency[], + plugin: Plugin[], + installedInfo: Record<string, VersionInfo> + }) => { + const { payload, plugin, installedInfo } = data + + return Promise.all(payload.map(async (item, i) => { + try { + const orgAndName = `${plugin[i]?.org || plugin[i]?.author}/${plugin[i]?.name}` + const installedPayload = installedInfo[orgAndName] + const isInstalled = !!installedPayload + let uniqueIdentifier = '' + + if (item.type === 'github') { + const data = item as GitHubItemAndMarketPlaceDependency + // From local bundle don't have data.value.github_plugin_unique_identifier + if (!data.value.github_plugin_unique_identifier) { + const { unique_identifier } = await post<uploadGitHubResponse>('/workspaces/current/plugin/upload/github', { + body: { + repo: data.value.repo!, + version: data.value.release! || data.value.version!, + package: data.value.packages! || data.value.package!, + }, + }) + uniqueIdentifier = data.value.github_plugin_unique_identifier! || unique_identifier + // has the same version, but not installed + if (uniqueIdentifier === installedPayload?.uniqueIdentifier) { + return { + success: true, + } + } + } + if (!isInstalled) { + await post<InstallPackageResponse>('/workspaces/current/plugin/install/github', { + body: { + repo: data.value.repo!, + version: data.value.release! || data.value.version!, + package: data.value.packages! || data.value.package!, + plugin_unique_identifier: uniqueIdentifier, + }, + }) + } + } + if (item.type === 'marketplace') { + const data = item as GitHubItemAndMarketPlaceDependency + uniqueIdentifier = data.value.plugin_unique_identifier! || plugin[i]?.plugin_id + if (uniqueIdentifier === installedPayload?.uniqueIdentifier) { + return { + success: true, + } + } + if (!isInstalled) { + await post<InstallPackageResponse>('/workspaces/current/plugin/install/marketplace', { + body: { + plugin_unique_identifiers: [uniqueIdentifier], + }, + }) + } + } + if (item.type === 'package') { + const data = item as PackageDependency + uniqueIdentifier = data.value.unique_identifier + if (uniqueIdentifier === installedPayload?.uniqueIdentifier) { + return { + success: true, + } + } + if (!isInstalled) { + await post<InstallPackageResponse>('/workspaces/current/plugin/install/pkg', { + body: { + plugin_unique_identifiers: [uniqueIdentifier], + }, + }) + } + } + if (isInstalled) { + if (item.type === 'package') { + await uninstallPlugin(installedPayload.installedId) + await post<InstallPackageResponse>('/workspaces/current/plugin/install/pkg', { + body: { + plugin_unique_identifiers: [uniqueIdentifier], + }, + }) + } + else { + await updatePackageFromMarketPlace({ + original_plugin_unique_identifier: installedPayload?.uniqueIdentifier, + new_plugin_unique_identifier: uniqueIdentifier, + }) + } + } + return ({ success: true }) + } + // eslint-disable-next-line unused-imports/no-unused-vars + catch (e) { + return Promise.resolve({ success: false }) + } + })) + }, + onSuccess, + }) +} + +export const useDebugKey = () => { + return useQuery({ + queryKey: [NAME_SPACE, 'debugKey'], + queryFn: () => get<DebugInfoTypes>('/workspaces/current/plugin/debugging-key'), + }) +} + +const usePermissionsKey = [NAME_SPACE, 'permissions'] +export const usePermissions = () => { + return useQuery({ + queryKey: usePermissionsKey, + queryFn: () => get<Permissions>('/workspaces/current/plugin/permission/fetch'), + }) +} + +export const useInvalidatePermissions = () => { + const queryClient = useQueryClient() + return () => { + queryClient.invalidateQueries( + { + queryKey: usePermissionsKey, + }) + } +} + +export const useMutationPermissions = ({ + onSuccess, +}: { + onSuccess?: () => void +}) => { + return useMutation({ + mutationFn: (payload: Permissions) => { + return post('/workspaces/current/plugin/permission/change', { body: payload }) + }, + onSuccess, + }) +} + +export const useMutationPluginsFromMarketplace = () => { + return useMutation({ + mutationFn: (pluginsSearchParams: PluginsSearchParams) => { + const { + query, + sortBy, + sortOrder, + category, + tags, + exclude, + type, + page = 1, + pageSize = 40, + } = pluginsSearchParams + const pluginOrBundle = type === 'bundle' ? 'bundles' : 'plugins' + return postMarketplace<{ data: PluginsFromMarketplaceResponse }>(`/${pluginOrBundle}/search/advanced`, { + body: { + page, + page_size: pageSize, + query, + sort_by: sortBy, + sort_order: sortOrder, + category: category !== 'all' ? category : '', + tags, + exclude, + type, + }, + }) + }, + }) +} + +export const useFetchPluginsInMarketPlaceByIds = (unique_identifiers: string[], options?: QueryOptions<{ data: PluginsFromMarketplaceResponse }>) => { + return useQuery({ + ...options, + queryKey: [NAME_SPACE, 'fetchPluginsInMarketPlaceByIds', unique_identifiers], + queryFn: () => postMarketplace<{ data: PluginsFromMarketplaceResponse }>('/plugins/identifier/batch', { + body: { + unique_identifiers, + }, + }), + enabled: unique_identifiers?.filter(i => !!i).length > 0, + retry: 0, + }) +} + +export const useFetchPluginsInMarketPlaceByInfo = (infos: Record<string, any>[]) => { + return useQuery({ + queryKey: [NAME_SPACE, 'fetchPluginsInMarketPlaceByInfo', infos], + queryFn: () => postMarketplace<{ data: PluginsFromMarketplaceByInfoResponse }>('/plugins/versions/batch', { + body: { + plugin_tuples: infos.map(info => ({ + org: info.organization, + name: info.plugin, + version: info.version, + })), + }, + }), + enabled: infos?.filter(i => !!i).length > 0, + retry: 0, + }) +} + +const usePluginTaskListKey = [NAME_SPACE, 'pluginTaskList'] +export const usePluginTaskList = (category?: PluginType) => { + const { + canManagement, + } = usePermission() + const { refreshPluginList } = useRefreshPluginList() + const { + data, + isFetched, + refetch, + ...rest + } = useQuery({ + enabled: canManagement, + queryKey: usePluginTaskListKey, + queryFn: () => get<{ tasks: PluginTask[] }>('/workspaces/current/plugin/tasks?page=1&page_size=100'), + refetchInterval: (lastQuery) => { + const lastData = lastQuery.state.data + const taskDone = lastData?.tasks.every(task => task.status === TaskStatus.success || task.status === TaskStatus.failed) + const taskAllFailed = lastData?.tasks.every(task => task.status === TaskStatus.failed) + if (taskDone) { + if (lastData?.tasks.length && !taskAllFailed) + refreshPluginList(category ? { category } as any : undefined, !category) + return false + } + + return 5000 + }, + }) + const handleRefetch = useCallback(() => { + refetch() + }, [refetch]) + + return { + data, + pluginTasks: data?.tasks || [], + isFetched, + handleRefetch, + ...rest, + } +} + +export const useMutationClearTaskPlugin = () => { + return useMutation({ + mutationFn: ({ taskId, pluginId }: { taskId: string; pluginId: string }) => { + return post<{ success: boolean }>(`/workspaces/current/plugin/tasks/${taskId}/delete/${pluginId}`) + }, + }) +} + +export const useMutationClearAllTaskPlugin = () => { + return useMutation({ + mutationFn: () => { + return post<{ success: boolean }>('/workspaces/current/plugin/tasks/delete_all') + }, + }) +} + +export const usePluginManifestInfo = (pluginUID: string) => { + return useQuery({ + enabled: !!pluginUID, + queryKey: [[NAME_SPACE, 'manifest', pluginUID]], + queryFn: () => getMarketplace<{ data: { plugin: PluginInfoFromMarketPlace, version: { version: string } } }>(`/plugins/${pluginUID}`), + retry: 0, + }) +} + +export const useDownloadPlugin = (info: { organization: string; pluginName: string; version: string }, needDownload: boolean) => { + return useQuery({ + queryKey: [NAME_SPACE, 'downloadPlugin', info], + queryFn: () => getMarketplace<Blob>(`/plugins/${info.organization}/${info.pluginName}/${info.version}/download`), + enabled: needDownload, + retry: 0, + }) +} + +export const useMutationCheckDependencies = () => { + return useMutation({ + mutationFn: (appId: string) => { + return get<{ leaked_dependencies: Dependency[] }>(`/apps/imports/${appId}/check-dependencies`) + }, + }) +} + +export const useModelInList = (currentProvider?: ModelProvider, modelId?: string) => { + return useQuery({ + queryKey: ['modelInList', currentProvider?.provider, modelId], + queryFn: async () => { + if (!modelId || !currentProvider) return false + try { + const modelsData = await fetchModelProviderModelList(`/workspaces/current/model-providers/${currentProvider?.provider}/models`) + return !!modelId && !!modelsData.data.find(item => item.model === modelId) + } + catch (error) { + return false + } + }, + enabled: !!modelId && !!currentProvider, + }) +} + +export const usePluginInfo = (providerName?: string) => { + return useQuery({ + queryKey: ['pluginInfo', providerName], + queryFn: async () => { + if (!providerName) return null + const parts = providerName.split('/') + const org = parts[0] + const name = parts[1] + try { + const response = await fetchPluginInfoFromMarketPlace({ org, name }) + return response.data.plugin.category === PluginTypeEnum.model ? response.data.plugin : null + } + catch (error) { + return null + } + }, + enabled: !!providerName, + }) +} diff --git a/web/service/use-strategy.ts b/web/service/use-strategy.ts new file mode 100644 index 00000000000000..af591ac01947dd --- /dev/null +++ b/web/service/use-strategy.ts @@ -0,0 +1,36 @@ +import type { + StrategyPluginDetail, +} from '@/app/components/plugins/types' +import { useInvalid } from './use-base' +import type { QueryOptions } from '@tanstack/react-query' +import { + useQuery, +} from '@tanstack/react-query' +import { fetchStrategyDetail, fetchStrategyList } from './strategy' + +const NAME_SPACE = 'agent_strategy' + +const useStrategyListKey = [NAME_SPACE, 'strategyList'] +export const useStrategyProviders = () => { + return useQuery<StrategyPluginDetail[]>({ + queryKey: useStrategyListKey, + queryFn: fetchStrategyList, + }) +} + +export const useInvalidateStrategyProviders = () => { + return useInvalid(useStrategyListKey) +} + +export const useStrategyProviderDetail = (agentProvider: string, options?: QueryOptions<StrategyPluginDetail>) => { + return useQuery<StrategyPluginDetail>({ + ...options, + queryKey: [NAME_SPACE, 'detail', agentProvider], + queryFn: () => fetchStrategyDetail(agentProvider), + enabled: !!agentProvider, + }) +} + +export const useInvalidateStrategyProviderDetail = (agentProvider: string) => { + return useInvalid([NAME_SPACE, 'detail', agentProvider]) +} diff --git a/web/service/use-tools.ts b/web/service/use-tools.ts new file mode 100644 index 00000000000000..ceaa4b14b319f2 --- /dev/null +++ b/web/service/use-tools.ts @@ -0,0 +1,121 @@ +import { get, post } from './base' +import type { + Collection, + Tool, +} from '@/app/components/tools/types' +import type { ToolWithProvider } from '@/app/components/workflow/types' +import { useInvalid } from './use-base' +import { + useMutation, + useQuery, + useQueryClient, +} from '@tanstack/react-query' + +const NAME_SPACE = 'tools' + +const useAllToolProvidersKey = [NAME_SPACE, 'allToolProviders'] +export const useAllToolProviders = () => { + return useQuery<Collection[]>({ + queryKey: useAllToolProvidersKey, + queryFn: () => get<Collection[]>('/workspaces/current/tool-providers'), + }) +} + +export const useInvalidateAllToolProviders = () => { + return useInvalid(useAllToolProvidersKey) +} + +const useAllBuiltInToolsKey = [NAME_SPACE, 'builtIn'] +export const useAllBuiltInTools = () => { + return useQuery<ToolWithProvider[]>({ + queryKey: useAllBuiltInToolsKey, + queryFn: () => get<ToolWithProvider[]>('/workspaces/current/tools/builtin'), + }) +} + +export const useInvalidateAllBuiltInTools = () => { + return useInvalid(useAllBuiltInToolsKey) +} + +const useAllCustomToolsKey = [NAME_SPACE, 'customTools'] +export const useAllCustomTools = () => { + return useQuery<ToolWithProvider[]>({ + queryKey: useAllCustomToolsKey, + queryFn: () => get<ToolWithProvider[]>('/workspaces/current/tools/api'), + }) +} + +export const useInvalidateAllCustomTools = () => { + return useInvalid(useAllCustomToolsKey) +} + +const useAllWorkflowToolsKey = [NAME_SPACE, 'workflowTools'] +export const useAllWorkflowTools = () => { + return useQuery<ToolWithProvider[]>({ + queryKey: useAllWorkflowToolsKey, + queryFn: () => get<ToolWithProvider[]>('/workspaces/current/tools/workflow'), + }) +} + +export const useInvalidateAllWorkflowTools = () => { + return useInvalid(useAllWorkflowToolsKey) +} + +export const useBuiltinProviderInfo = (providerName: string) => { + return useQuery({ + queryKey: [NAME_SPACE, 'builtin-provider-info', providerName], + queryFn: () => get<Collection>(`/workspaces/current/tool-provider/builtin/${providerName}/info`), + }) +} + +export const useInvalidateBuiltinProviderInfo = () => { + const queryClient = useQueryClient() + return (providerName: string) => { + queryClient.invalidateQueries( + { + queryKey: [NAME_SPACE, 'builtin-provider-info', providerName], + }) + } +} + +export const useBuiltinTools = (providerName: string) => { + return useQuery({ + queryKey: [NAME_SPACE, 'builtin-provider-tools', providerName], + queryFn: () => get<Tool[]>(`/workspaces/current/tool-provider/builtin/${providerName}/tools`), + }) +} + +export const useUpdateProviderCredentials = ({ + onSuccess, +}: { + onSuccess?: () => void +}) => { + return useMutation({ + mutationKey: [NAME_SPACE, 'update-provider-credentials'], + mutationFn: (payload: { providerName: string, credentials: Record<string, any> }) => { + const { providerName, credentials } = payload + return post(`/workspaces/current/tool-provider/builtin/${providerName}/update`, { + body: { + credentials, + }, + }) + }, + onSuccess, + }) +} + +export const useRemoveProviderCredentials = ({ + onSuccess, +}: { + onSuccess?: () => void +}) => { + return useMutation({ + mutationKey: [NAME_SPACE, 'remove-provider-credentials'], + mutationFn: (providerName: string) => { + return post(`/workspaces/current/tool-provider/builtin/${providerName}/delete`, { + body: {}, + }) + }, + onSuccess, + }) +} diff --git a/web/service/use-workflow.ts b/web/service/use-workflow.ts index 948a114b042f84..43fa4b22c34fa5 100644 --- a/web/service/use-workflow.ts +++ b/web/service/use-workflow.ts @@ -1,9 +1,20 @@ -import { useQuery } from '@tanstack/react-query' import { get } from './base' +import type { + FetchWorkflowDraftResponse, +} from '@/types/workflow' +import { useQuery } from '@tanstack/react-query' import type { WorkflowConfigResponse } from '@/types/workflow' const NAME_SPACE = 'workflow' +export const useAppWorkflow = (appID: string) => { + return useQuery<FetchWorkflowDraftResponse>({ + enabled: !!appID, + queryKey: [NAME_SPACE, 'publish', appID], + queryFn: () => get<FetchWorkflowDraftResponse>(`/apps/${appID}/workflows/publish`), + }) +} + export const useWorkflowConfig = (appId: string) => { return useQuery({ queryKey: [NAME_SPACE, 'config', appId], diff --git a/web/tailwind-common-config.ts b/web/tailwind-common-config.ts new file mode 100644 index 00000000000000..2bc7343a45b366 --- /dev/null +++ b/web/tailwind-common-config.ts @@ -0,0 +1,129 @@ +import tailwindThemeVarDefine from './themes/tailwind-theme-var-define' + +const config = { + theme: { + typography: require('./typography'), + extend: { + colors: { + gray: { + 25: '#fcfcfd', + 50: '#f9fafb', + 100: '#f2f4f7', + 200: '#eaecf0', + 300: '#d0d5dd', + 400: '#98a2b3', + 500: '#667085', + 700: '#475467', + 600: '#344054', + 800: '#1d2939', + 900: '#101828', + }, + primary: { + 25: '#f5f8ff', + 50: '#eff4ff', + 100: '#d1e0ff', + 200: '#b2ccff', + 300: '#84adff', + 400: '#528bff', + 500: '#2970ff', + 600: '#155eef', + 700: '#004eeb', + 800: '#0040c1', + 900: '#00359e', + }, + blue: { + 500: '#E1EFFE', + }, + green: { + 50: '#F3FAF7', + 100: '#DEF7EC', + 800: '#03543F', + + }, + yellow: { + 100: '#FDF6B2', + 800: '#723B13', + }, + purple: { + 50: '#F6F5FF', + 200: '#DCD7FE', + }, + indigo: { + 25: '#F5F8FF', + 50: '#EEF4FF', + 100: '#E0EAFF', + 300: '#A4BCFD', + 400: '#8098F9', + 600: '#444CE7', + 800: '#2D31A6', + }, + ...tailwindThemeVarDefine, + }, + screens: { + 'mobile': '100px', + // => @media (min-width: 100px) { ... } + 'tablet': '640px', // 391 + // => @media (min-width: 600px) { ... } + 'pc': '769px', + // => @media (min-width: 769px) { ... } + '2k': '2560px', + }, + boxShadow: { + 'xs': '0px 1px 2px 0px rgba(16, 24, 40, 0.05)', + 'sm': '0px 1px 2px 0px rgba(16, 24, 40, 0.06), 0px 1px 3px 0px rgba(16, 24, 40, 0.10)', + 'md': '0px 2px 4px -2px rgba(16, 24, 40, 0.06), 0px 4px 8px -2px rgba(16, 24, 40, 0.10)', + 'lg': '0px 4px 6px -2px rgba(16, 24, 40, 0.03), 0px 12px 16px -4px rgba(16, 24, 40, 0.08)', + 'xl': '0px 8px 8px -4px rgba(16, 24, 40, 0.03), 0px 20px 24px -4px rgba(16, 24, 40, 0.08)', + '2xl': '0px 24px 48px -12px rgba(16, 24, 40, 0.18)', + '3xl': '0px 32px 64px -12px rgba(16, 24, 40, 0.14)', + 'status-indicator-green-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-success-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', + 'status-indicator-warning-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-warning-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', + 'status-indicator-red-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-error-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', + 'status-indicator-blue-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-normal-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', + 'status-indicator-gray-shadow': '0px 1px 2px 0px var(--color-components-badge-status-light-disabled-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', + }, + opacity: { + 2: '0.02', + 8: '0.08', + }, + fontSize: { + '2xs': '0.625rem', + }, + backgroundImage: { + 'chatbot-bg': 'var(--color-chatbot-bg)', + 'chat-bubble-bg': 'var(--color-chat-bubble-bg)', + 'chat-input-mask': 'var(--color-chat-input-mask)', + 'workflow-process-bg': 'var(--color-workflow-process-bg)', + 'mask-top2bottom-gray-50-to-transparent': 'var(--mask-top2bottom-gray-50-to-transparent)', + 'marketplace-divider-bg': 'var(--color-marketplace-divider-bg)', + 'marketplace-plugin-empty': 'var(--color-marketplace-plugin-empty)', + 'toast-success-bg': 'var(--color-toast-success-bg)', + 'toast-warning-bg': 'var(--color-toast-warning-bg)', + 'toast-error-bg': 'var(--color-toast-error-bg)', + 'toast-info-bg': 'var(--color-toast-info-bg)', + 'app-detail-bg': 'var(--color-app-detail-bg)', + 'app-detail-overlay-bg': 'var(--color-app-detail-overlay-bg)', + 'dataset-chunk-process-success-bg': 'var(--color-dataset-chunk-process-success-bg)', + 'dataset-chunk-process-error-bg': 'var(--color-dataset-chunk-process-error-bg)', + 'dataset-chunk-detail-card-hover-bg': 'var(--color-dataset-chunk-detail-card-hover-bg)', + 'dataset-child-chunk-expand-btn-bg': 'var(--color-dataset-child-chunk-expand-btn-bg)', + 'dataset-option-card-blue-gradient': 'var(--color-dataset-option-card-blue-gradient)', + 'dataset-option-card-purple-gradient': 'var(--color-dataset-option-card-purple-gradient)', + 'dataset-option-card-orange-gradient': 'var(--color-dataset-option-card-orange-gradient)', + 'dataset-chunk-list-mask-bg': 'var(--color-dataset-chunk-list-mask-bg)', + }, + animation: { + 'spin-slow': 'spin 2s linear infinite', + }, + }, + }, + plugins: [ + require('@tailwindcss/typography'), + ], + // https://github.com/tailwindlabs/tailwindcss/discussions/5969 + corePlugins: { + preflight: false, + }, +} + +export default config diff --git a/web/tailwind.config.js b/web/tailwind.config.js index 99d85bf32a0599..a9959e7b765150 100644 --- a/web/tailwind.config.js +++ b/web/tailwind.config.js @@ -1,128 +1,12 @@ -import tailwindThemeVarDefine from './themes/tailwind-theme-var-define' - -/** @type {import('tailwindcss').Config} */ +// import type { Config } from 'tailwindcss' +import commonConfig from './tailwind-common-config' const config = { content: [ './app/**/*.{js,ts,jsx,tsx}', './components/**/*.{js,ts,jsx,tsx}', './context/**/*.{js,ts,jsx,tsx}', ], - theme: { - typography: require('./typography'), - extend: { - colors: { - gray: { - 25: '#fcfcfd', - 50: '#f9fafb', - 100: '#f2f4f7', - 200: '#eaecf0', - 300: '#d0d5dd', - 400: '#98a2b3', - 500: '#667085', - 700: '#475467', - 600: '#344054', - 800: '#1d2939', - 900: '#101828', - }, - primary: { - 25: '#f5f8ff', - 50: '#eff4ff', - 100: '#d1e0ff', - 200: '#b2ccff', - 300: '#84adff', - 400: '#528bff', - 500: '#2970ff', - 600: '#155eef', - 700: '#004eeb', - 800: '#0040c1', - 900: '#00359e', - }, - blue: { - 500: '#E1EFFE', - }, - green: { - 50: '#F3FAF7', - 100: '#DEF7EC', - 800: '#03543F', - - }, - yellow: { - 100: '#FDF6B2', - 800: '#723B13', - }, - purple: { - 50: '#F6F5FF', - 200: '#DCD7FE', - }, - indigo: { - 25: '#F5F8FF', - 50: '#EEF4FF', - 100: '#E0EAFF', - 300: '#A4BCFD', - 400: '#8098F9', - 600: '#444CE7', - 800: '#2D31A6', - }, - ...tailwindThemeVarDefine, - }, - screens: { - 'mobile': '100px', - // => @media (min-width: 100px) { ... } - 'tablet': '640px', // 391 - // => @media (min-width: 600px) { ... } - 'pc': '769px', - // => @media (min-width: 769px) { ... } - '2k': '2560px', - }, - boxShadow: { - 'xs': '0px 1px 2px 0px rgba(16, 24, 40, 0.05)', - 'sm': '0px 1px 2px 0px rgba(16, 24, 40, 0.06), 0px 1px 3px 0px rgba(16, 24, 40, 0.10)', - 'md': '0px 2px 4px -2px rgba(16, 24, 40, 0.06), 0px 4px 8px -2px rgba(16, 24, 40, 0.10)', - 'lg': '0px 4px 6px -2px rgba(16, 24, 40, 0.03), 0px 12px 16px -4px rgba(16, 24, 40, 0.08)', - 'xl': '0px 8px 8px -4px rgba(16, 24, 40, 0.03), 0px 20px 24px -4px rgba(16, 24, 40, 0.08)', - '2xl': '0px 24px 48px -12px rgba(16, 24, 40, 0.18)', - '3xl': '0px 32px 64px -12px rgba(16, 24, 40, 0.14)', - 'status-indicator-green-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-success-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', - 'status-indicator-warning-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-warning-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', - 'status-indicator-red-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-error-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', - 'status-indicator-blue-shadow': '0px 2px 6px 0px var(--color-components-badge-status-light-normal-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', - 'status-indicator-gray-shadow': '0px 1px 2px 0px var(--color-components-badge-status-light-disabled-halo), 0px 0px 0px 1px var(--color-components-badge-status-light-border-outer)', - }, - opacity: { - 2: '0.02', - 8: '0.08', - }, - fontSize: { - '2xs': '0.625rem', - }, - backgroundImage: { - 'chatbot-bg': 'var(--color-chatbot-bg)', - 'chat-bubble-bg': 'var(--color-chat-bubble-bg)', - 'workflow-process-bg': 'var(--color-workflow-process-bg)', - 'app-detail-bg': 'var(--color-app-detail-bg)', - 'app-detail-overlay-bg': 'var(--color-app-detail-overlay-bg)', - 'dataset-chunk-process-success-bg': 'var(--color-dataset-chunk-process-success-bg)', - 'dataset-chunk-process-error-bg': 'var(--color-dataset-chunk-process-error-bg)', - 'dataset-chunk-detail-card-hover-bg': 'var(--color-dataset-chunk-detail-card-hover-bg)', - 'dataset-child-chunk-expand-btn-bg': 'var(--color-dataset-child-chunk-expand-btn-bg)', - 'dataset-option-card-blue-gradient': 'var(--color-dataset-option-card-blue-gradient)', - 'dataset-option-card-purple-gradient': 'var(--color-dataset-option-card-purple-gradient)', - 'dataset-option-card-orange-gradient': 'var(--color-dataset-option-card-orange-gradient)', - 'dataset-chunk-list-mask-bg': 'var(--color-dataset-chunk-list-mask-bg)', - }, - lineClamp: { - '20': '20', - 'mask-top2bottom-gray-50-to-transparent': 'var(--mask-top2bottom-gray-50-to-transparent)', - }, - }, - }, - plugins: [ - require('@tailwindcss/typography'), - ], - // https://github.com/tailwindlabs/tailwindcss/discussions/5969 - corePlugins: { - preflight: false, - }, + ...commonConfig, } export default config diff --git a/web/themes/dark.css b/web/themes/dark.css index 892f48fa482c17..dc24322bf57579 100644 --- a/web/themes/dark.css +++ b/web/themes/dark.css @@ -721,6 +721,7 @@ html[data-theme="dark"] { --color-third-party-LangChain: #FFFFFF; --color-third-party-Langfuse: #FFFFFF; + --color-third-party-Github: #FFFFFF; --color-third-party-Github-tertiary: #C8CEDA99; --color-third-party-Github-secondary: #D9D9DE; diff --git a/web/themes/manual-dark.css b/web/themes/manual-dark.css index 052a080fa9034a..beaad7df481c60 100644 --- a/web/themes/manual-dark.css +++ b/web/themes/manual-dark.css @@ -1,21 +1,34 @@ html[data-theme="dark"] { - --color-chatbot-bg: linear-gradient( - 180deg, - rgba(34, 34, 37, 0.9) 0%, - rgba(29, 29, 32, 0.9) 90.48% - ); - --color-chat-bubble-bg: linear-gradient( - 180deg, - rgba(200, 206, 218, 0.08) 0%, - rgba(200, 206, 218, 0.02) 100% - ); - --color-workflow-process-bg: linear-gradient( - 90deg, - rgba(24, 24, 27, 0.25) 0%, - rgba(24, 24, 27, 0.04) 100% - ); - --color-account-teams-bg: linear-gradient( - 271deg, + --color-chatbot-bg: linear-gradient(180deg, + rgba(34, 34, 37, 0.9) 0%, + rgba(29, 29, 32, 0.9) 90.48%); + --color-chat-bubble-bg: linear-gradient(180deg, + rgba(200, 206, 218, 0.08) 0%, + rgba(200, 206, 218, 0.02) 100%); + --color-chat-input-mask: linear-gradient(180deg, + rgba(24, 24, 27, 0.04) 0%, + rgba(24, 24, 27, 0.60) 100%); + --color-workflow-process-bg: linear-gradient(90deg, + rgba(24, 24, 27, 0.25) 0%, + rgba(24, 24, 27, 0.04) 100%); + --color-marketplace-divider-bg: linear-gradient(90deg, + rgba(200, 206, 218, 0.14) 0%, + rgba(0, 0, 0, 0) 100%); + --color-marketplace-plugin-empty: linear-gradient(180deg, + rgba(0, 0, 0, 0) 0%, + #222225 100%); + --color-toast-success-bg: linear-gradient(92deg, + rgba(23, 178, 106, 0.3) 0%, + rgba(0, 0, 0, 0) 100%); + --color-toast-warning-bg: linear-gradient(92deg, + rgba(247, 144, 9, 0.3) 0%, + rgba(0, 0, 0, 0) 100%); + --color-toast-error-bg: linear-gradient(92deg, + rgba(240, 68, 56, 0.3) 0%, + rgba(0, 0, 0, 0) 100%); + --color-toast-info-bg: linear-gradient(92deg, + rgba(11, 165, 236, 0.3) 0%), + --color-account-teams-bg: linear-gradient(271deg, rgba(34, 34, 37, 0.9) -0.1%, rgba(29, 29, 32, 0.9) 98.26% ); @@ -41,6 +54,5 @@ html[data-theme="dark"] { --mask-top2bottom-gray-50-to-transparent: linear-gradient( 180deg, rgba(24, 24, 27, 0.08) 0%, - rgba(0, 0, 0, 0) 100% - ); -} + rgba(0, 0, 0, 0) 100%); +} \ No newline at end of file diff --git a/web/themes/manual-light.css b/web/themes/manual-light.css index 0566f4b1cda92e..b4317d521b8826 100644 --- a/web/themes/manual-light.css +++ b/web/themes/manual-light.css @@ -1,21 +1,34 @@ html[data-theme="light"] { - --color-chatbot-bg: linear-gradient( - 180deg, - rgba(249, 250, 251, 0.9) 0%, - rgba(242, 244, 247, 0.9) 90.48% - ); - --color-chat-bubble-bg: linear-gradient( - 180deg, + --color-chatbot-bg: linear-gradient(180deg, + rgba(249, 250, 251, 0.9) 0%, + rgba(242, 244, 247, 0.9) 90.48%); + --color-chat-bubble-bg: linear-gradient(180deg, #fff 0%, - rgba(255, 255, 255, 0.6) 100% - ); - --color-workflow-process-bg: linear-gradient( - 90deg, - rgba(200, 206, 218, 0.2) 0%, - rgba(200, 206, 218, 0.04) 100% - ); - --color-account-teams-bg: linear-gradient( - 271deg, + rgba(255, 255, 255, 0.6) 100%); + --color-chat-input-mask: linear-gradient(180deg, + rgba(255, 255, 255, 0.01) 0%, + #F2F4F7 100%); + --color-workflow-process-bg: linear-gradient(90deg, + rgba(200, 206, 218, 0.2) 0%, + rgba(200, 206, 218, 0.04) 100%); + --color-marketplace-divider-bg: linear-gradient(90deg, + rgba(16, 24, 40, 0.08) 0%, + rgba(255, 255, 255, 0) 100%); + --color-marketplace-plugin-empty: linear-gradient(180deg, + rgba(255, 255, 255, 0) 0%, + #fcfcfd 100%); + --color-toast-success-bg: linear-gradient(92deg, + rgba(23, 178, 106, 0.25) 0%, + rgba(255, 255, 255, 0) 100%); + --color-toast-warning-bg: linear-gradient(92deg, + rgba(247, 144, 9, 0.25) 0%, + rgba(255, 255, 255, 0) 100%); + --color-toast-error-bg: linear-gradient(92deg, + rgba(240, 68, 56, 0.25) 0%, + rgba(255, 255, 255, 0) 100%); + --color-toast-info-bg: linear-gradient(92deg, + rgba(11, 165, 236, 0.25) 0%), + --color-account-teams-bg: linear-gradient(271deg, rgba(249, 250, 251, 0.9) -0.1%, rgba(242, 244, 247, 0.9) 98.26% ); @@ -41,6 +54,5 @@ html[data-theme="light"] { --mask-top2bottom-gray-50-to-transparent: linear-gradient( 180deg, rgba(200, 206, 218, 0.2) 0%, - rgba(255, 255, 255, 0) 100% - ); -} + rgba(255, 255, 255, 0) 100%); +} \ No newline at end of file diff --git a/web/types/app.ts b/web/types/app.ts index 7be1d30b85dd31..2f5f6254ff9475 100644 --- a/web/types/app.ts +++ b/web/types/app.ts @@ -25,14 +25,14 @@ export enum ProviderType { } export enum AppType { - 'chat' = 'chat', - 'completion' = 'completion', + chat = 'chat', + completion = 'completion', } export enum ModelModeType { - 'chat' = 'chat', - 'completion' = 'completion', - 'unset' = '', + chat = 'chat', + completion = 'completion', + unset = '', } export enum RETRIEVE_TYPE { @@ -110,9 +110,9 @@ export type ParagraphTypeFormItem = { export type UserInputFormItem = { 'text-input': TextTypeFormItem } | { - 'select': SelectTypeFormItem + select: SelectTypeFormItem } | { - 'paragraph': TextTypeFormItem + paragraph: TextTypeFormItem } export type AgentTool = { @@ -351,6 +351,13 @@ export type App = { /** api site url */ api_base_url: string tags: Tag[] + workflow?: { + id: string + created_at: number + created_by?: string + updated_at: number + updated_by?: string + } } export type AppSSO = { diff --git a/web/types/feature.ts b/web/types/feature.ts index 053ce3d7c9fd31..3d7763bf46e841 100644 --- a/web/types/feature.ts +++ b/web/types/feature.ts @@ -24,6 +24,7 @@ export type SystemFeatures = { sso_enforced_for_web: boolean sso_enforced_for_web_protocol: SSOProtocol | '' enable_web_sso_switch_component: boolean + enable_marketplace: boolean enable_email_code_login: boolean enable_email_password_login: boolean enable_social_oauth_login: boolean @@ -39,6 +40,7 @@ export const defaultSystemFeatures: SystemFeatures = { sso_enforced_for_web: false, sso_enforced_for_web_protocol: '', enable_web_sso_switch_component: false, + enable_marketplace: false, enable_email_code_login: false, enable_email_password_login: false, enable_social_oauth_login: false, diff --git a/web/types/workflow.ts b/web/types/workflow.ts index ee0c1c64543230..31ea7595825d64 100644 --- a/web/types/workflow.ts +++ b/web/types/workflow.ts @@ -3,11 +3,33 @@ import type { BlockEnum, ConversationVariable, Edge, EnvironmentVariable, Node } import type { TransferMethod } from '@/types/app' import type { ErrorHandleTypeEnum } from '@/app/components/workflow/nodes/_base/components/error-handle/types' +export type AgentLogItem = { + node_execution_id: string, + id: string, + node_id: string, + parent_id?: string, + label: string, + data: object, // debug data + error?: string, + status: string, + metadata?: { + elapsed_time?: number + provider?: string + icon?: string + }, +} + +export type AgentLogItemWithChildren = AgentLogItem & { + hasCircle?: boolean + children: AgentLogItemWithChildren[] +} + export type NodeTracing = { id: string index: number predecessor_node_id: string node_id: string + iteration_id?: string node_type: BlockEnum title: string inputs: any @@ -30,6 +52,11 @@ export type NodeTracing = { parallel_mode_run_id?: string iteration_duration_map?: IterationDurationMap error_strategy?: ErrorHandleTypeEnum + agent_log?: AgentLogItem[] + tool_info?: { + agent_strategy?: string + icon?: string + } } metadata: { iterator_length: number @@ -47,11 +74,18 @@ export type NodeTracing = { expand?: boolean // for UI details?: NodeTracing[][] // iteration detail retryDetail?: NodeTracing[] // retry detail + retry_index?: number + parallelDetail?: { // parallel detail. if is in parallel, this field will be set + isParallelStartNode?: boolean + parallelTitle?: string + branchTitle?: string + children?: NodeTracing[] + } parallel_id?: string parallel_start_node_id?: string parent_parallel_id?: string parent_parallel_start_node_id?: string - retry_index?: number + agentLog?: AgentLogItemWithChildren[] // agent log } export type FetchWorkflowDraftResponse = { @@ -128,18 +162,7 @@ export type NodeStartedResponse = { task_id: string workflow_run_id: string event: string - data: { - id: string - node_id: string - iteration_id?: string - parallel_run_id?: string - node_type: string - index: number - predecessor_node_id?: string - inputs: any - created_at: number - extras?: any - } + data: NodeTracing } export type FileResponse = { @@ -157,120 +180,42 @@ export type NodeFinishedResponse = { task_id: string workflow_run_id: string event: string - data: { - id: string - node_id: string - iteration_id?: string - node_type: string - index: number - predecessor_node_id?: string - inputs: any - process_data: any - outputs: any - status: string - error: string - elapsed_time: number - execution_metadata: { - total_tokens: number - total_price: number - currency: string - parallel_id?: string - parallel_start_node_id?: string - iteration_index?: number - iteration_id?: string - parallel_mode_run_id: string - error_strategy?: ErrorHandleTypeEnum - } - created_at: number - files?: FileResponse[] - retry_index?: number - } + data: NodeTracing } export type IterationStartedResponse = { task_id: string workflow_run_id: string event: string - data: { - id: string - node_id: string - metadata: { - iterator_length: number - iteration_id: string - iteration_index: number - } - created_at: number - extras?: any - } + data: NodeTracing } export type IterationNextResponse = { task_id: string workflow_run_id: string event: string - data: { - id: string - node_id: string - index: number - output: any - extras?: any - created_at: number - parallel_mode_run_id: string - execution_metadata: { - parallel_id?: string - iteration_index: number - parallel_mode_run_id?: string - } - duration?: number - } + data: NodeTracing } export type IterationFinishedResponse = { task_id: string workflow_run_id: string event: string - data: { - id: string - node_id: string - outputs: any - extras?: any - status: string - created_at: number - error: string - execution_metadata: { - parallel_id?: string - } - } + data: NodeTracing } export type ParallelBranchStartedResponse = { task_id: string workflow_run_id: string event: string - data: { - parallel_id: string - parallel_start_node_id: string - parent_parallel_id: string - parent_parallel_start_node_id: string - iteration_id?: string - created_at: number - } + data: NodeTracing } export type ParallelBranchFinishedResponse = { task_id: string workflow_run_id: string event: string - data: { - parallel_id: string - parallel_start_node_id: string - parent_parallel_id: string - parent_parallel_start_node_id: string - iteration_id?: string - status: string - created_at: number - error: string - } + data: NodeTracing } export type TextChunkResponse = { @@ -291,6 +236,12 @@ export type TextReplaceResponse = { } } +export type AgentLogResponse = { + task_id: string + event: string + data: AgentLogItemWithChildren +} + export type WorkflowRunHistory = { id: string sequence_number: number diff --git a/web/utils/format.ts b/web/utils/format.ts index 1eeb6af807e93b..45f0e51878a524 100644 --- a/web/utils/format.ts +++ b/web/utils/format.ts @@ -34,3 +34,14 @@ export const formatTime = (num: number) => { } return `${num.toFixed(2)} ${units[index]}` } + +export const downloadFile = ({ data, fileName }: { data: Blob; fileName: string }) => { + const url = window.URL.createObjectURL(data) + const a = document.createElement('a') + a.href = url + a.download = fileName + document.body.appendChild(a) + a.click() + a.remove() + window.URL.revokeObjectURL(url) +} diff --git a/web/utils/get-icon.ts b/web/utils/get-icon.ts new file mode 100644 index 00000000000000..f2ed116a14b6ff --- /dev/null +++ b/web/utils/get-icon.ts @@ -0,0 +1,5 @@ +import { MARKETPLACE_API_PREFIX } from '@/config' + +export const getIconFromMarketPlace = (plugin_id: string) => { + return `${MARKETPLACE_API_PREFIX}/plugins/${plugin_id}/icon` +} diff --git a/web/utils/index.ts b/web/utils/index.ts index cabad6c35c766b..4342a08519e797 100644 --- a/web/utils/index.ts +++ b/web/utils/index.ts @@ -55,3 +55,13 @@ export async function fetchWithRetry<T = any>(fn: Promise<T>, retries = 3): Prom return [null, res] } } + +export const correctProvider = (provider: string) => { + if (!provider) + return '' + + if (provider.includes('/')) + return provider + + return `langgenius/${provider}/${provider}` +} diff --git a/web/utils/semver.ts b/web/utils/semver.ts new file mode 100644 index 00000000000000..f1b9eb8d7e7ca9 --- /dev/null +++ b/web/utils/semver.ts @@ -0,0 +1,9 @@ +import semver from 'semver' + +export const getLatestVersion = (versionList: string[]) => { + return semver.rsort(versionList)[0] +} + +export const compareVersion = (v1: string, v2: string) => { + return semver.compare(v1, v2) 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?Fk1i6o&9a3TD`^;l7vH*>1$?`c4&Fc8oOe$xj8fdDums7~N@ zP{qg))|Y+7Xx_}p>XkbLK~NHeT8C9$2~~`gg8DUAF}@Xr6KTCA^DAZUpILNsqUxX9 zr)qc|Gz29ifmVUV?+JwyNqx{%BIeDIc@2S9qV}~)0i{6|qhlRVjE!$%C1u_WAn0Or zB*9sX3?k;MD?#&SPE-Mc0^nQ+{jyZr=FL=8zy4XR!>R^BDe(VK%$qq`^{4M7ok=>6 tw=4Z?z2)@Y;Qk(Oyz#~xZ@l^b^Dp0fX>jNWgCYO`002ovPDHLkV1hdG!s7q{ diff --git a/api/core/tools/provider/builtin/lark_task/lark_task.py b/api/core/tools/provider/builtin/lark_task/lark_task.py deleted file mode 100644 index 02cf009f017e61..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/lark_task.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.lark_api_utils import lark_auth - - -class LarkTaskProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - lark_auth(credentials) diff --git a/api/core/tools/provider/builtin/lark_task/lark_task.yaml b/api/core/tools/provider/builtin/lark_task/lark_task.yaml deleted file mode 100644 index ada068b0aab3ce..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/lark_task.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: lark_task - label: - en_US: Lark Task - zh_Hans: Lark 任务 - description: - en_US: | - Lark Task, requires the following permissions: task:task:write、contact:user.id:readonly. - zh_Hans: | - Lark 任务，需要开通以下权限: task:task:write、contact:user.id:readonly。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your Lark app id - zh_Hans: 请输入你的 Lark app id - help: - en_US: Get your app_id and app_secret from Lark - zh_Hans: 从 Lark 获取您的 app_id 和 app_secret - url: https://open.larksuite.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的 Lark app secret diff --git a/api/core/tools/provider/builtin/lark_task/tools/add_members.py b/api/core/tools/provider/builtin/lark_task/tools/add_members.py deleted file mode 100644 index 9b8e4d68f394a8..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/add_members.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class AddMembersTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - task_guid = tool_parameters.get("task_guid") - member_phone_or_email = tool_parameters.get("member_phone_or_email") - member_role = tool_parameters.get("member_role", "follower") - - res = client.add_members(task_guid, member_phone_or_email, member_role) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_task/tools/add_members.yaml b/api/core/tools/provider/builtin/lark_task/tools/add_members.yaml deleted file mode 100644 index 0b12172e0b85e7..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/add_members.yaml +++ /dev/null @@ -1,58 +0,0 @@ -identity: - name: add_members - author: Doug Lea - label: - en_US: Add Lark Members - zh_Hans: 添加 Lark 任务成员 -description: - human: - en_US: Add Lark Members - zh_Hans: 添加 Lark 任务成员 - llm: A tool for adding members to a Lark task.(添加 Lark 任务成员) -parameters: - - name: task_guid - type: string - required: true - label: - en_US: Task GUID - zh_Hans: 任务 GUID - human_description: - en_US: | - The GUID of the task to be added, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - zh_Hans: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - llm_description: 要添加的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - form: llm - - - name: member_phone_or_email - type: string - required: true - label: - en_US: Task Member Phone Or Email - zh_Hans: 任务成员的电话或邮箱 - human_description: - en_US: A list of member emails or phone numbers, separated by commas. - zh_Hans: 任务成员邮箱或者手机号列表，使用逗号分隔。 - llm_description: 任务成员邮箱或者手机号列表，使用逗号分隔。 - form: llm - - - name: member_role - type: select - required: true - options: - - value: assignee - label: - en_US: assignee - zh_Hans: 负责人 - - value: follower - label: - en_US: follower - zh_Hans: 关注人 - default: "follower" - label: - en_US: member_role - zh_Hans: 成员的角色 - human_description: - en_US: Member role, optional values are "assignee" (responsible person) and "follower" (observer), with a default value of "assignee". - zh_Hans: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。 - llm_description: 成员的角色，可选值有 "assignee"（负责人）和 "follower"（关注人），默认值为 "assignee"。 - form: form diff --git a/api/core/tools/provider/builtin/lark_task/tools/create_task.py b/api/core/tools/provider/builtin/lark_task/tools/create_task.py deleted file mode 100644 index ff37593fbe3a12..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/create_task.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class CreateTaskTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - summary = tool_parameters.get("summary") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - completed_time = tool_parameters.get("completed_time") - description = tool_parameters.get("description") - - res = client.create_task(summary, start_time, end_time, completed_time, description) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_task/tools/create_task.yaml b/api/core/tools/provider/builtin/lark_task/tools/create_task.yaml deleted file mode 100644 index 4303763a1dd406..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/create_task.yaml +++ /dev/null @@ -1,74 +0,0 @@ -identity: - name: create_task - author: Doug Lea - label: - en_US: Create Lark Task - zh_Hans: 创建 Lark 任务 -description: - human: - en_US: Create Lark Task - zh_Hans: 创建 Lark 任务 - llm: A tool for creating tasks in Lark.(创建 Lark 任务) -parameters: - - name: summary - type: string - required: true - label: - en_US: Task Title - zh_Hans: 任务标题 - human_description: - en_US: The title of the task. - zh_Hans: 任务标题 - llm_description: 任务标题 - form: llm - - - name: description - type: string - required: false - label: - en_US: Task Description - zh_Hans: 任务备注 - human_description: - en_US: The description or notes for the task. - zh_Hans: 任务备注 - llm_description: 任务备注 - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 任务开始时间 - human_description: - en_US: | - The start time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05 - llm_description: 任务开始时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 任务结束时间 - human_description: - en_US: | - The end time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05 - llm_description: 任务结束时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: completed_time - type: string - required: false - label: - en_US: Completed Time - zh_Hans: 任务完成时间 - human_description: - en_US: | - The completion time of the task, in the format: 2006-01-02 15:04:05. Leave empty to create an incomplete task; fill in a specific time to create a completed task. - zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。 - llm_description: 任务完成时间，格式为：2006-01-02 15:04:05，不填写表示创建一个未完成任务；填写一个具体的时间表示创建一个已完成任务。 - form: llm diff --git a/api/core/tools/provider/builtin/lark_task/tools/delete_task.py b/api/core/tools/provider/builtin/lark_task/tools/delete_task.py deleted file mode 100644 index eca381be2c185e..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/delete_task.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class UpdateTaskTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - task_guid = tool_parameters.get("task_guid") - - res = client.delete_task(task_guid) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_task/tools/delete_task.yaml b/api/core/tools/provider/builtin/lark_task/tools/delete_task.yaml deleted file mode 100644 index bc0154d9dc5c77..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/delete_task.yaml +++ /dev/null @@ -1,24 +0,0 @@ -identity: - name: delete_task - author: Doug Lea - label: - en_US: Delete Lark Task - zh_Hans: 删除 Lark 任务 -description: - human: - en_US: Delete Lark Task - zh_Hans: 删除 Lark 任务 - llm: A tool for deleting tasks in Lark.(删除 Lark 任务) -parameters: - - name: task_guid - type: string - required: true - label: - en_US: Task GUID - zh_Hans: 任务 GUID - human_description: - en_US: | - The GUID of the task to be deleted, supports passing either the Task ID or the Task link URL. Example of Task ID: 8b5425ec-9f2a-43bd-a3ab-01912f50282b; Example of Task link URL: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - zh_Hans: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - llm_description: 要删除的任务的 GUID，支持传任务 ID 和任务链接 URL。任务 ID 示例：8b5425ec-9f2a-43bd-a3ab-01912f50282b；任务链接 URL 示例：https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - form: llm diff --git a/api/core/tools/provider/builtin/lark_task/tools/update_task.py b/api/core/tools/provider/builtin/lark_task/tools/update_task.py deleted file mode 100644 index 0d3469c91a01bc..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/update_task.py +++ /dev/null @@ -1,23 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class UpdateTaskTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - task_guid = tool_parameters.get("task_guid") - summary = tool_parameters.get("summary") - start_time = tool_parameters.get("start_time") - end_time = tool_parameters.get("end_time") - completed_time = tool_parameters.get("completed_time") - description = tool_parameters.get("description") - - res = client.update_task(task_guid, summary, start_time, end_time, completed_time, description) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_task/tools/update_task.yaml b/api/core/tools/provider/builtin/lark_task/tools/update_task.yaml deleted file mode 100644 index a98f037f211c9a..00000000000000 --- a/api/core/tools/provider/builtin/lark_task/tools/update_task.yaml +++ /dev/null @@ -1,89 +0,0 @@ -identity: - name: update_task - author: Doug Lea - label: - en_US: Update Lark Task - zh_Hans: 更新 Lark 任务 -description: - human: - en_US: Update Lark Task - zh_Hans: 更新 Lark 任务 - llm: A tool for updating tasks in Lark.(更新 Lark 任务) -parameters: - - name: task_guid - type: string - required: true - label: - en_US: Task GUID - zh_Hans: 任务 GUID - human_description: - en_US: | - The task ID, supports inputting either the Task ID or the Task link URL. Example of Task ID: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64; Example of Task link URL: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - zh_Hans: | - 任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - llm_description: | - 任务ID，支持传入任务 ID 和任务链接 URL。任务 ID 示例: 42cad8a0-f8c8-4344-9be2-d1d7e8e91b64；任务链接 URL 示例: https://applink.larksuite.com/client/todo/detail?guid=1b066afa-96de-406c-90a3-dfd30159a571&suite_entity_num=t100805 - form: llm - - - name: summary - type: string - required: true - label: - en_US: Task Title - zh_Hans: 任务标题 - human_description: - en_US: The title of the task. - zh_Hans: 任务标题 - llm_description: 任务标题 - form: llm - - - name: description - type: string - required: false - label: - en_US: Task Description - zh_Hans: 任务备注 - human_description: - en_US: The description or notes for the task. - zh_Hans: 任务备注 - llm_description: 任务备注 - form: llm - - - name: start_time - type: string - required: false - label: - en_US: Start Time - zh_Hans: 任务开始时间 - human_description: - en_US: | - The start time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务开始时间，格式为：2006-01-02 15:04:05 - llm_description: 任务开始时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: end_time - type: string - required: false - label: - en_US: End Time - zh_Hans: 任务结束时间 - human_description: - en_US: | - The end time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务结束时间，格式为：2006-01-02 15:04:05 - llm_description: 任务结束时间，格式为：2006-01-02 15:04:05 - form: llm - - - name: completed_time - type: string - required: false - label: - en_US: Completed Time - zh_Hans: 任务完成时间 - human_description: - en_US: | - The completion time of the task, in the format: 2006-01-02 15:04:05 - zh_Hans: 任务完成时间，格式为：2006-01-02 15:04:05 - llm_description: 任务完成时间，格式为：2006-01-02 15:04:05 - form: llm diff --git a/api/core/tools/provider/builtin/lark_wiki/_assets/icon.png b/api/core/tools/provider/builtin/lark_wiki/_assets/icon.png deleted file mode 100644 index 47f6b8c30ea0cf2d4b625bf5890ab94b0b5ca84e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2827 zcmV+m3-t7fP)f5Qlu;xM+Zqm_m7+@I|v5ctjtUH9oc^%8b$52^q znkS?h&%EfVX&WE=g!xF1H8$U>L9`r#=yhxq;izHZ8KG=+-WQ8weW%y4{&3){J{I0T z0r}+l8DQSNTQY>Dop7NU3$maBna73<^}MxvSf4~5Inr@*;iaZHRXaEQNrc0D|Br@|< zoY?Zfep#KfI+DYEGC1gCI96(4f8>{#8mQ*5kDFeYJbD#3An-=Qzludzy~tiC1;+Az z<7ab--N?xvCclOC&BV(-gje>%ys(#>TCd;$Fc~0qOasuS8Tma=U*4aMiFHXnN4h*; zyC>%zqJ|uhUooeE61|KKlW-S;6lWLA}$iKh#*ZP?+CFzZBzf0UGtcHj$$O2_uH4Uhcxk%I9m%t;+gJ)=CGd; zFH97@v=1Bt0`O)p;iimGCw?rWexcgZ`k30hDY`dfOKLIuus-cegXswS8Sz@U2j*e% z6{OV^HT;WvM9$j1oD;(~)u~==*ho7z5G~w`gTtm$pkW$*LE=L+<&Sxaxd;ARYtb&a zeZg+%Sg;4*=OKW@ccCuU|E~`~7oD&db_2YCO}$8Tmk06GDBFlvTjKlwF#uZFSo{2) z0P}Y-oKRrhZX+jf7&H0-G`#~&h>D=vv@7NC(LWw zGW5?_wD&db1oylL5HOCZAl3^C7{CsQa1$rs4d)p?#twn{` zpXAX!gB(aRIYzvw5QLlKiz4dgY!lv758_p?I*H+i#3s#oAC1`-H|_IFZfq#?dp?yX z*)ORn&5wQn&uxPU;hx(HfK=h-5Ty6;exj#>h(4>f#5atI^NMe#0nU}=NY|6dicI{7 z*R$;qJ+l=Y0eK)WztvOat&Nf6N4nV8e%>hXTtB)8_2IIWXtAp>}N3q()1 zgF_0>Ac!*GK0MF96o-i8B#-5-pUt6pa_ULPtFOi@@8tpp@HSld-P-^NN1#oVk3l+t z*cp}=-;~YR)uuUNHc@OMtS8Qq#3y;v`;k2Q0bn7~>_1{b1S%}cyO@`aXQ@v4FeZo< zpTtjWq|el&@sdMh%|4!bpV1Fs=4OZxK$x`|98xz+WaVd3A>Qu&d|@#!v1+Gc+V~gv zk`*Hw_pHWIDjr3zz6kT+o zG+#YAh|S{wu=#Qi4xne?+sdiIJ8eE}DtcrM0KyS{)bNkA@i16cYGY|hti~n4SQ{@s zMGxTW7t}mGd1}6P{OUz+o^TQeAk9~$`EpPH-%B6WC)j)sw?Tw(2za;_P!G#zUIEo( zv+&S=jxTlq+I)?kJ~m(Nu762KzuGNN9*=&Rp8gqp@@H`XX9qF^n2JSV;Z*#Pn2HTO zdR4si@YesjOi!PV{u$qV8JjQn4rB%}1&f+e z0hr<&^;Bfm3)oi44j}YnU-d7GP3Y800Rw0|N}oIP^y$4n?%#X8^r(4y@5^TiIDn6E z0KGVXj|ckNf&n~$MLkdk5V%~v#Js~sG6Tr<&&GOPAp@ZAy=`7Dy-INO`N{Lqr;E=& z{qnhizDnxt~0_^z5xq&9~A3u=&#Y{!8I2aL-DJs7b;- zLYaRP9LfZhS!ZJ#CXdo$22eY7ZF)t2=gTKgkA8`sK0SGV>-*;E>7OTD`93@W zcfSb{6?`}04RB1AH&7oNEAc!WiSab8(;TELW&pJ4pSXFSJagmo0QBhd06x3&eI=@= z2e1O7-(YbuR)Aw9e9C5HX~lM=zZPC8!sn8Fv{x8^(`#)H{Iqg<@UP)}Pq%&r2S880 zEX|j(`Br@TgzyAlu@Mzan7ACA@)>zK%b63Peq;;dLP~pu@uOO;CkF2*pC0&JkG?j~ zpFH#AwRu7%N)KSd3b;VUPiXNC8s1GHo^&n9xA-P)EG>;m#U=jAt52~5pjGLNmmWQNdhdrFKnp~_!U7q~1j>8rVtY$=0BrYhM7h~GHl2qCRQv#F z;m_M~<=(-P-um?P>6;%u{k#F(^*Thq#Nq@FWyidyiR^Wm0T`PjJ5i4Dyyo?2F5vG3 zhg&p=(z*UJo`7C`@52)i-T^d#yP5%zDyRV~1KSb5XwF`OsON@bia@{X%8N|&+lkFX z|GiP+tJ3?AAFujs@J_n*scHKDGey1i`}s2X85ZAgqp-2GLVF%)kMYgfzcCtHV{2@U dt+5rXe*^9v#%`^xa$f)d002ovPDHLkV1jYtfBFCb diff --git a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.py b/api/core/tools/provider/builtin/lark_wiki/lark_wiki.py deleted file mode 100644 index e6941206ee7618..00000000000000 --- a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.py +++ /dev/null @@ -1,7 +0,0 @@ -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController -from core.tools.utils.lark_api_utils import lark_auth - - -class LarkWikiProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - lark_auth(credentials) diff --git a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.yaml b/api/core/tools/provider/builtin/lark_wiki/lark_wiki.yaml deleted file mode 100644 index 86bef000868d68..00000000000000 --- a/api/core/tools/provider/builtin/lark_wiki/lark_wiki.yaml +++ /dev/null @@ -1,36 +0,0 @@ -identity: - author: Doug Lea - name: lark_wiki - label: - en_US: Lark Wiki - zh_Hans: Lark 知识库 - description: - en_US: | - Lark Wiki, requires the following permissions: wiki:wiki:readonly. - zh_Hans: | - Lark 知识库，需要开通以下权限: wiki:wiki:readonly。 - icon: icon.png - tags: - - social - - productivity -credentials_for_provider: - app_id: - type: text-input - required: true - label: - en_US: APP ID - placeholder: - en_US: Please input your Lark app id - zh_Hans: 请输入你的 Lark app id - help: - en_US: Get your app_id and app_secret from Lark - zh_Hans: 从 Lark 获取您的 app_id 和 app_secret - url: https://open.larksuite.com/app - app_secret: - type: secret-input - required: true - label: - en_US: APP Secret - placeholder: - en_US: Please input your app secret - zh_Hans: 请输入你的 Lark app secret diff --git a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.py b/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.py deleted file mode 100644 index a05f300755962f..00000000000000 --- a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Any - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool -from core.tools.utils.lark_api_utils import LarkRequest - - -class GetWikiNodesTool(BuiltinTool): - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: - app_id = self.runtime.credentials.get("app_id") - app_secret = self.runtime.credentials.get("app_secret") - client = LarkRequest(app_id, app_secret) - - space_id = tool_parameters.get("space_id") - parent_node_token = tool_parameters.get("parent_node_token") - page_token = tool_parameters.get("page_token") - page_size = tool_parameters.get("page_size") - - res = client.get_wiki_nodes(space_id, parent_node_token, page_token, page_size) - - return self.create_json_message(res) diff --git a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.yaml b/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.yaml deleted file mode 100644 index a8c242a2e909df..00000000000000 --- a/api/core/tools/provider/builtin/lark_wiki/tools/get_wiki_nodes.yaml +++ /dev/null @@ -1,63 +0,0 @@ -identity: - name: get_wiki_nodes - author: Doug Lea - label: - en_US: Get Wiki Nodes - zh_Hans: 获取知识空间子节点列表 -description: - human: - en_US: | - Get the list of child nodes in Wiki, make sure the app/bot is a member of the wiki space. See How to add an app as a wiki base administrator (member). https://open.larksuite.com/document/server-docs/docs/wiki-v2/wiki-qa - zh_Hans: | - 获取知识库全部子节点列表，请确保应用/机器人为知识空间成员。参阅如何将应用添加为知识库管理员（成员）。https://open.larksuite.com/document/server-docs/docs/wiki-v2/wiki-qa - llm: A tool for getting all sub-nodes of a knowledge base.(获取知识空间子节点列表) -parameters: - - name: space_id - type: string - required: true - label: - en_US: Space Id - zh_Hans: 知识空间 ID - human_description: - en_US: | - The ID of the knowledge space. Supports space link URL, for example: https://lark-japan.jp.larksuite.com/wiki/settings/7431084851517718561 - zh_Hans: 知识空间 ID，支持空间链接 URL，例如：https://lark-japan.jp.larksuite.com/wiki/settings/7431084851517718561 - llm_description: 知识空间 ID，支持空间链接 URL，例如：https://lark-japan.jp.larksuite.com/wiki/settings/7431084851517718561 - form: llm - - - name: page_size - type: number - required: false - default: 10 - label: - en_US: Page Size - zh_Hans: 分页大小 - human_description: - en_US: The size of each page, with a maximum value of 50. - zh_Hans: 分页大小，最大值 50。 - llm_description: 分页大小，最大值 50。 - form: form - - - name: page_token - type: string - required: false - label: - en_US: Page Token - zh_Hans: 分页标记 - human_description: - en_US: The pagination token. Leave empty for the first request to start from the beginning; if the paginated query result has more items, a new page_token will be returned, which can be used to get the next set of results. - zh_Hans: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - llm_description: 分页标记，第一次请求不填，表示从头开始遍历；分页查询结果还有更多项时会同时返回新的 page_token，下次遍历可采用该 page_token 获取查询结果。 - form: llm - - - name: parent_node_token - type: string - required: false - label: - en_US: Parent Node Token - zh_Hans: 父节点 token - human_description: - en_US: The token of the parent node. - zh_Hans: 父节点 token - llm_description: 父节点 token - form: llm diff --git a/api/core/tools/provider/builtin/maths/_assets/icon.svg b/api/core/tools/provider/builtin/maths/_assets/icon.svg deleted file mode 100644 index f94d1152113830..00000000000000 --- a/api/core/tools/provider/builtin/maths/_assets/icon.svg +++ /dev/null @@ -1,10 +0,0 @@ - - - - - - - - - - diff --git a/api/core/tools/provider/builtin/maths/maths.py b/api/core/tools/provider/builtin/maths/maths.py deleted file mode 100644 index d4b449ec87a18a..00000000000000 --- a/api/core/tools/provider/builtin/maths/maths.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.maths.tools.eval_expression import EvaluateExpressionTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class MathsProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - EvaluateExpressionTool().invoke( - user_id="", - tool_parameters={ - "expression": "1+(2+3)*4", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/maths/maths.yaml b/api/core/tools/provider/builtin/maths/maths.yaml deleted file mode 100644 index 35c2380e29a701..00000000000000 --- a/api/core/tools/provider/builtin/maths/maths.yaml +++ /dev/null @@ -1,15 +0,0 @@ -identity: - author: Bowen Liang - name: maths - label: - en_US: Maths - zh_Hans: 数学工具 - pt_BR: Maths - description: - en_US: A tool for maths. - zh_Hans: 一个用于数学计算的工具。 - pt_BR: A tool for maths. - icon: icon.svg - tags: - - utilities - - productivity diff --git a/api/core/tools/provider/builtin/maths/tools/eval_expression.py b/api/core/tools/provider/builtin/maths/tools/eval_expression.py deleted file mode 100644 index d3a497d1cd5c54..00000000000000 --- a/api/core/tools/provider/builtin/maths/tools/eval_expression.py +++ /dev/null @@ -1,30 +0,0 @@ -import logging -from typing import Any, Union - -import numexpr as ne # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class EvaluateExpressionTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # get expression - expression = tool_parameters.get("expression", "").strip() - if not expression: - return self.create_text_message("Invalid expression") - - try: - result = ne.evaluate(expression) - result_str = str(result) - except Exception as e: - logging.exception(f"Error evaluating expression: {expression}") - return self.create_text_message(f"Invalid expression: {expression}, error: {str(e)}") - return self.create_text_message(f'The result of the expression "{expression}" is {result_str}') diff --git a/api/core/tools/provider/builtin/maths/tools/eval_expression.yaml b/api/core/tools/provider/builtin/maths/tools/eval_expression.yaml deleted file mode 100644 index c936a4293fbe72..00000000000000 --- a/api/core/tools/provider/builtin/maths/tools/eval_expression.yaml +++ /dev/null @@ -1,26 +0,0 @@ -identity: - name: eval_expression - author: Bowen Liang - label: - en_US: Evaluate Math Expression - zh_Hans: 计算数学表达式 - pt_BR: Evaluate Math Expression -description: - human: - en_US: A tool for evaluating an math expression, calculated locally with NumExpr. - zh_Hans: 一个用于计算数学表达式的工具，表达式将通过NumExpr本地执行。 - pt_BR: A tool for evaluating an math expression, calculated locally with NumExpr. - llm: A tool for evaluating an math expression. -parameters: - - name: expression - type: string - required: true - label: - en_US: Math Expression - zh_Hans: 数学计算表达式 - pt_BR: Math Expression - human_description: - en_US: Math Expression - zh_Hans: 数学计算表达式 - pt_BR: Math Expression - form: llm diff --git a/api/core/tools/provider/builtin/nominatim/_assets/icon.svg b/api/core/tools/provider/builtin/nominatim/_assets/icon.svg deleted file mode 100644 index db5a4eb868c5e8..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/_assets/icon.svg +++ /dev/null @@ -1,277 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 010110010011010110010011 - 010110010011010110010011 - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/nominatim/nominatim.py b/api/core/tools/provider/builtin/nominatim/nominatim.py deleted file mode 100644 index 5a24bed7507eb6..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/nominatim.py +++ /dev/null @@ -1,27 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.nominatim.tools.nominatim_search import NominatimSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class NominatimProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - result = ( - NominatimSearchTool() - .fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ) - .invoke( - user_id="", - tool_parameters={ - "query": "London", - "limit": 1, - }, - ) - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/nominatim/nominatim.yaml b/api/core/tools/provider/builtin/nominatim/nominatim.yaml deleted file mode 100644 index 7d014bd78c6a59..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/nominatim.yaml +++ /dev/null @@ -1,43 +0,0 @@ -identity: - author: Charles Zhou - name: nominatim - label: - en_US: Nominatim - zh_Hans: Nominatim - de_DE: Nominatim - ja_JP: Nominatim - description: - en_US: Nominatim is a search engine for OpenStreetMap data - zh_Hans: Nominatim是OpenStreetMap数据的搜索引擎 - de_DE: Nominatim ist eine Suchmaschine für OpenStreetMap-Daten - ja_JP: NominatimはOpenStreetMapデータの検索エンジンです - icon: icon.svg - tags: - - search - - utilities -credentials_for_provider: - base_url: - type: text-input - required: false - default: https://nominatim.openstreetmap.org - label: - en_US: Nominatim Base URL - zh_Hans: Nominatim 基础 URL - de_DE: Nominatim Basis-URL - ja_JP: Nominatim ベースURL - placeholder: - en_US: "Enter your Nominatim instance URL (default: - https://nominatim.openstreetmap.org)" - zh_Hans: 输入您的Nominatim实例URL（默认：https://nominatim.openstreetmap.org） - de_DE: "Geben Sie Ihre Nominatim-Instanz-URL ein (Standard: - https://nominatim.openstreetmap.org)" - ja_JP: NominatimインスタンスのURLを入力してください（デフォルト：https://nominatim.openstreetmap.org） - help: - en_US: The base URL for the Nominatim instance. Use the default for the public - service or enter your self-hosted instance URL. - zh_Hans: Nominatim实例的基础URL。使用默认值可访问公共服务，或输入您的自托管实例URL。 - de_DE: Die Basis-URL für die Nominatim-Instanz. Verwenden Sie den Standardwert - für den öffentlichen Dienst oder geben Sie die URL Ihrer selbst - gehosteten Instanz ein. - ja_JP: NominatimインスタンスのベースURL。公共サービスにはデフォルトを使用するか、自己ホスティングインスタンスのURLを入力してください。 - url: https://nominatim.org/ diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.py b/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.py deleted file mode 100644 index ffa8ad0fcc02e0..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.py +++ /dev/null @@ -1,40 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class NominatimLookupTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - osm_ids = tool_parameters.get("osm_ids", "") - - if not osm_ids: - return self.create_text_message("Please provide OSM IDs") - - params = {"osm_ids": osm_ids, "format": "json", "addressdetails": 1} - - return self._make_request(user_id, "lookup", params) - - def _make_request(self, user_id: str, endpoint: str, params: dict) -> ToolInvokeMessage: - base_url = self.runtime.credentials.get("base_url", "https://nominatim.openstreetmap.org") - - try: - headers = {"User-Agent": "DifyNominatimTool/1.0"} - s = requests.session() - response = s.request(method="GET", headers=headers, url=f"{base_url}/{endpoint}", params=params) - response_data = response.json() - - if response.status_code == 200: - s.close() - return self.create_text_message( - self.summary(user_id=user_id, content=json.dumps(response_data, ensure_ascii=False)) - ) - else: - return self.create_text_message(f"Error: {response.status_code} - {response.text}") - except Exception as e: - return self.create_text_message(f"An error occurred: {str(e)}") diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.yaml b/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.yaml deleted file mode 100644 index 508c4dcd88ff15..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_lookup.yaml +++ /dev/null @@ -1,31 +0,0 @@ -identity: - name: nominatim_lookup - author: Charles Zhou - label: - en_US: Nominatim OSM Lookup - zh_Hans: Nominatim OSM 对象查找 - de_DE: Nominatim OSM-Objektsuche - ja_JP: Nominatim OSM ルックアップ -description: - human: - en_US: Look up OSM objects using their IDs with Nominatim - zh_Hans: 使用Nominatim通过ID查找OSM对象 - de_DE: Suchen Sie OSM-Objekte anhand ihrer IDs mit Nominatim - ja_JP: Nominatimを使用してIDでOSMオブジェクトを検索 - llm: A tool for looking up OpenStreetMap objects using their IDs with Nominatim. -parameters: - - name: osm_ids - type: string - required: true - label: - en_US: OSM IDs - zh_Hans: OSM ID - de_DE: OSM-IDs - ja_JP: OSM ID - human_description: - en_US: Comma-separated list of OSM IDs to lookup (e.g., N123,W456,R789) - zh_Hans: 要查找的OSM ID的逗号分隔列表（例如：N123,W456,R789） - de_DE: Kommagetrennte Liste von OSM-IDs für die Suche (z.B. N123,W456,R789) - ja_JP: 検索するOSM IDのカンマ区切りリスト（例：N123,W456,R789） - llm_description: A comma-separated list of OSM IDs (prefixed with N, W, or R) for lookup. - form: llm diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.py b/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.py deleted file mode 100644 index f46691e1a3ebb4..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.py +++ /dev/null @@ -1,41 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class NominatimReverseTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - lat = tool_parameters.get("lat") - lon = tool_parameters.get("lon") - - if lat is None or lon is None: - return self.create_text_message("Please provide both latitude and longitude") - - params = {"lat": lat, "lon": lon, "format": "json", "addressdetails": 1} - - return self._make_request(user_id, "reverse", params) - - def _make_request(self, user_id: str, endpoint: str, params: dict) -> ToolInvokeMessage: - base_url = self.runtime.credentials.get("base_url", "https://nominatim.openstreetmap.org") - - try: - headers = {"User-Agent": "DifyNominatimTool/1.0"} - s = requests.session() - response = s.request(method="GET", headers=headers, url=f"{base_url}/{endpoint}", params=params) - response_data = response.json() - - if response.status_code == 200: - s.close() - return self.create_text_message( - self.summary(user_id=user_id, content=json.dumps(response_data, ensure_ascii=False)) - ) - else: - return self.create_text_message(f"Error: {response.status_code} - {response.text}") - except Exception as e: - return self.create_text_message(f"An error occurred: {str(e)}") diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.yaml b/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.yaml deleted file mode 100644 index f1a2dd09fbc5d5..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_reverse.yaml +++ /dev/null @@ -1,47 +0,0 @@ -identity: - name: nominatim_reverse - author: Charles Zhou - label: - en_US: Nominatim Reverse Geocoding - zh_Hans: Nominatim 反向地理编码 - de_DE: Nominatim Rückwärts-Geocodierung - ja_JP: Nominatim リバースジオコーディング -description: - human: - en_US: Convert coordinates to addresses using Nominatim - zh_Hans: 使用Nominatim将坐标转换为地址 - de_DE: Konvertieren Sie Koordinaten in Adressen mit Nominatim - ja_JP: Nominatimを使用して座標を住所に変換 - llm: A tool for reverse geocoding using Nominatim, which can convert latitude - and longitude coordinates to an address. -parameters: - - name: lat - type: number - required: true - label: - en_US: Latitude - zh_Hans: 纬度 - de_DE: Breitengrad - ja_JP: 緯度 - human_description: - en_US: Latitude coordinate for reverse geocoding - zh_Hans: 用于反向地理编码的纬度坐标 - de_DE: Breitengrad-Koordinate für die Rückwärts-Geocodierung - ja_JP: リバースジオコーディングの緯度座標 - llm_description: The latitude coordinate for reverse geocoding. - form: llm - - name: lon - type: number - required: true - label: - en_US: Longitude - zh_Hans: 经度 - de_DE: Längengrad - ja_JP: 経度 - human_description: - en_US: Longitude coordinate for reverse geocoding - zh_Hans: 用于反向地理编码的经度坐标 - de_DE: Längengrad-Koordinate für die Rückwärts-Geocodierung - ja_JP: リバースジオコーディングの経度座標 - llm_description: The longitude coordinate for reverse geocoding. - form: llm diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.py b/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.py deleted file mode 100644 index 34851d86dcaa5f..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.py +++ /dev/null @@ -1,41 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class NominatimSearchTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - query = tool_parameters.get("query", "") - limit = tool_parameters.get("limit", 10) - - if not query: - return self.create_text_message("Please input a search query") - - params = {"q": query, "format": "json", "limit": limit, "addressdetails": 1} - - return self._make_request(user_id, "search", params) - - def _make_request(self, user_id: str, endpoint: str, params: dict) -> ToolInvokeMessage: - base_url = self.runtime.credentials.get("base_url", "https://nominatim.openstreetmap.org") - - try: - headers = {"User-Agent": "DifyNominatimTool/1.0"} - s = requests.session() - response = s.request(method="GET", headers=headers, url=f"{base_url}/{endpoint}", params=params) - response_data = response.json() - - if response.status_code == 200: - s.close() - return self.create_text_message( - self.summary(user_id=user_id, content=json.dumps(response_data, ensure_ascii=False)) - ) - else: - return self.create_text_message(f"Error: {response.status_code} - {response.text}") - except Exception as e: - return self.create_text_message(f"An error occurred: {str(e)}") diff --git a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.yaml b/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.yaml deleted file mode 100644 index e0c53c046a2a41..00000000000000 --- a/api/core/tools/provider/builtin/nominatim/tools/nominatim_search.yaml +++ /dev/null @@ -1,51 +0,0 @@ -identity: - name: nominatim_search - author: Charles Zhou - label: - en_US: Nominatim Search - zh_Hans: Nominatim 搜索 - de_DE: Nominatim Suche - ja_JP: Nominatim 検索 -description: - human: - en_US: Search for locations using Nominatim - zh_Hans: 使用Nominatim搜索位置 - de_DE: Suche nach Orten mit Nominatim - ja_JP: Nominatimを使用して場所を検索 - llm: A tool for geocoding using Nominatim, which can search for locations based - on addresses or place names. -parameters: - - name: query - type: string - required: true - label: - en_US: Search Query - zh_Hans: 搜索查询 - de_DE: Suchanfrage - ja_JP: 検索クエリ - human_description: - en_US: Enter an address or place name to search for - zh_Hans: 输入要搜索的地址或地名 - de_DE: Geben Sie eine Adresse oder einen Ortsnamen für die Suche ein - ja_JP: 検索する住所または場所の名前を入力してください - llm_description: The search query for Nominatim, which can be an address or place name. - form: llm - - name: limit - type: number - default: 10 - min: 1 - max: 40 - required: false - label: - en_US: Result Limit - zh_Hans: 结果限制 - de_DE: Ergebnislimit - ja_JP: 結果の制限 - human_description: - en_US: "Maximum number of results to return (default: 10, max: 40)" - zh_Hans: 要返回的最大结果数（默认：10，最大：40） - de_DE: "Maximale Anzahl der zurückzugebenden Ergebnisse (Standard: 10, max: 40)" - ja_JP: 返す結果の最大数（デフォルト：10、最大：40） - llm_description: Limit the number of returned results. 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z*A?ZoZ;}yQZB|z6Q5bv3&O%G>nC>=%)=}_YY0%%_Hyg7{OaEqB>sw7(7pC29Y|NT3 zhI+PvNZsG7b$wkO+eM`2>z;dJ%j1{Q)Eg};00@TAvB>Ji|F^e0cr$pl?#ETT#Cq9P z`*P|T+Rq4#AtEqi)GEK2+)F^aUD)SeuZ;#DA=%K|$@esMB0^oz82S(Y{qNCK)lsQZ HvJU+pg(G@~ diff --git a/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py b/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py deleted file mode 100644 index 6473c509e1f4c2..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/_novita_tool_base.py +++ /dev/null @@ -1,69 +0,0 @@ -from novita_client import ( # type: ignore - Txt2ImgV3Embedding, - Txt2ImgV3HiresFix, - Txt2ImgV3LoRA, - Txt2ImgV3Refiner, - V3TaskImage, -) - - -class NovitaAiToolBase: - def _extract_loras(self, loras_str: str): - if not loras_str: - return [] - - loras_ori_list = loras_str.strip().split(";") - result_list = [] - for lora_str in loras_ori_list: - lora_info = lora_str.strip().split(",") - lora = Txt2ImgV3LoRA( - model_name=lora_info[0].strip(), - strength=float(lora_info[1]), - ) - result_list.append(lora) - - return result_list - - def _extract_embeddings(self, embeddings_str: str): - if not embeddings_str: - return [] - - embeddings_ori_list = embeddings_str.strip().split(";") - result_list = [] - for embedding_str in embeddings_ori_list: - embedding = Txt2ImgV3Embedding(model_name=embedding_str.strip()) - result_list.append(embedding) - - return result_list - - def _extract_hires_fix(self, hires_fix_str: str): - hires_fix_info = hires_fix_str.strip().split(",") - if "upscaler" in hires_fix_info: - hires_fix = Txt2ImgV3HiresFix( - target_width=int(hires_fix_info[0]), - target_height=int(hires_fix_info[1]), - strength=float(hires_fix_info[2]), - upscaler=hires_fix_info[3].strip(), - ) - else: - hires_fix = Txt2ImgV3HiresFix( - target_width=int(hires_fix_info[0]), - target_height=int(hires_fix_info[1]), - strength=float(hires_fix_info[2]), - ) - - return hires_fix - - def _extract_refiner(self, switch_at: str): - refiner = Txt2ImgV3Refiner(switch_at=float(switch_at)) - return refiner - - def _is_hit_nsfw_detection(self, image: V3TaskImage, confidence_threshold: float) -> bool: - """ - is hit nsfw - """ - if image.nsfw_detection_result is None: - return False - if image.nsfw_detection_result.valid and image.nsfw_detection_result.confidence >= confidence_threshold: - return True - return False diff --git a/api/core/tools/provider/builtin/novitaai/novitaai.py b/api/core/tools/provider/builtin/novitaai/novitaai.py deleted file mode 100644 index d5e32eff29373a..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/novitaai.py +++ /dev/null @@ -1,34 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.novitaai.tools.novitaai_txt2img import NovitaAiTxt2ImgTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class NovitaAIProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - result = ( - NovitaAiTxt2ImgTool() - .fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ) - .invoke( - user_id="", - tool_parameters={ - "model_name": "cinenautXLATRUE_cinenautV10_392434.safetensors", - "prompt": "a futuristic city with flying cars", - "negative_prompt": "", - "width": 128, - "height": 128, - "image_num": 1, - "guidance_scale": 7.5, - "seed": -1, - "steps": 1, - }, - ) - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/novitaai/novitaai.yaml b/api/core/tools/provider/builtin/novitaai/novitaai.yaml deleted file mode 100644 index 3eed8a889c1bd8..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/novitaai.yaml +++ /dev/null @@ -1,32 +0,0 @@ -identity: - author: Xiao Ley - name: novitaai - label: - en_US: Novita AI - zh_Hans: Novita AI - pt_BR: Novita AI - description: - en_US: Innovative AI for Image Generation - zh_Hans: 用于图像生成的创新人工智能。 - pt_BR: Innovative AI for Image Generation - icon: icon.ico - tags: - - image - - productivity -credentials_for_provider: - api_key: - type: secret-input - required: true - label: - en_US: API Key - zh_Hans: API 密钥 - pt_BR: Chave API - placeholder: - en_US: Please enter your Novita AI API key - zh_Hans: 请输入你的 Novita AI API 密钥 - pt_BR: Por favor, insira sua chave de API do Novita AI - help: - en_US: Get your Novita AI API key from Novita AI - zh_Hans: 从 Novita AI 获取您的 Novita AI API 密钥 - pt_BR: Obtenha sua chave de API do Novita AI na Novita AI - url: https://novita.ai diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.py b/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.py deleted file mode 100644 index 097b234bd50640..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.py +++ /dev/null @@ -1,54 +0,0 @@ -from base64 import b64decode -from copy import deepcopy -from typing import Any, Union - -from novita_client import ( # type: ignore - NovitaClient, -) - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class NovitaAiCreateTileTool(BuiltinTool): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"): - raise ToolProviderCredentialValidationError("Novita AI API Key is required.") - - api_key = self.runtime.credentials.get("api_key") - - client = NovitaClient(api_key=api_key) - param = self._process_parameters(tool_parameters) - client_result = client.create_tile(**param) - - results = [] - results.append( - self.create_blob_message( - blob=b64decode(client_result.image_file), - meta={"mime_type": f"image/{client_result.image_type}"}, - save_as=self.VariableKey.IMAGE.value, - ) - ) - - return results - - def _process_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]: - """ - process parameters - """ - res_parameters = deepcopy(parameters) - - # delete none and empty - keys_to_delete = [k for k, v in res_parameters.items() if v is None or v == ""] - for k in keys_to_delete: - del res_parameters[k] - - return res_parameters diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml deleted file mode 100644 index 8e5df5042937d3..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_createtile.yaml +++ /dev/null @@ -1,80 +0,0 @@ -identity: - name: novitaai_createtile - author: Xiao Ley - label: - en_US: Novita AI Create Tile - zh_Hans: Novita AI 创建平铺图案 -description: - human: - en_US: This feature produces images designed for seamless tiling, ideal for creating continuous patterns in fabrics, wallpapers, and various textures. - zh_Hans: 该功能生成设计用于无缝平铺的图像，非常适合用于制作连续图案的织物、壁纸和各种纹理。 - llm: A tool for create images designed for seamless tiling, ideal for creating continuous patterns in fabrics, wallpapers, and various textures. -parameters: - - name: prompt - type: string - required: true - label: - en_US: prompt - zh_Hans: 提示 - human_description: - en_US: Positive prompt word of the created tile, divided by `,`, Range [1, 512]. Only English input is allowed. - zh_Hans: 生成平铺图案的正向提示，用 `,` 分隔，范围 [1, 512]。仅允许输入英文。 - llm_description: Image prompt of Novita AI, you should describe the image you want to generate as a list of words as possible as detailed, divided by `,`, Range [1, 512]. Only English input is allowed. - form: llm - - name: negative_prompt - type: string - required: false - label: - en_US: negative prompt - zh_Hans: 负向提示 - human_description: - en_US: Negtive prompt word of the created tile, divided by `,`, Range [1, 512]. Only English input is allowed. - zh_Hans: 生成平铺图案的负向提示，用 `,` 分隔，范围 [1, 512]。仅允许输入英文。 - llm_description: Image negative prompt of Novita AI, divided by `,`, Range [1, 512]. Only English input is allowed. - form: llm - - name: width - type: number - default: 256 - min: 128 - max: 1024 - required: true - label: - en_US: width - zh_Hans: 宽 - human_description: - en_US: Image width, Range [128, 1024]. - zh_Hans: 图像宽度，范围 [128, 1024] - form: form - - name: height - type: number - default: 256 - min: 128 - max: 1024 - required: true - label: - en_US: height - zh_Hans: 高 - human_description: - en_US: Image height, Range [128, 1024]. - zh_Hans: 图像高度，范围 [128, 1024] - form: form - - name: response_image_type - type: select - default: jpeg - required: false - label: - en_US: response image type - zh_Hans: 响应图像类型 - human_description: - en_US: Response image type, png or jpeg - zh_Hans: 响应图像类型，png 或 jpeg - form: form - options: - - value: jpeg - label: - en_US: jpeg - zh_Hans: jpeg - - value: png - label: - en_US: png - zh_Hans: png diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.py b/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.py deleted file mode 100644 index a200ee81231f00..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.py +++ /dev/null @@ -1,148 +0,0 @@ -import json -from copy import deepcopy -from typing import Any, Union - -from pandas import DataFrame -from yarl import URL - -from core.helper import ssrf_proxy -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - - -class NovitaAiModelQueryTool(BuiltinTool): - _model_query_endpoint = "https://api.novita.ai/v3/model" - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"): - raise ToolProviderCredentialValidationError("Novita AI API Key is required.") - - api_key = self.runtime.credentials.get("api_key") - headers = {"Content-Type": "application/json", "Authorization": "Bearer " + api_key} - params = self._process_parameters(tool_parameters) - result_type = params.get("result_type") - del params["result_type"] - - models_data = self._query_models( - models_data=[], - headers=headers, - params=params, - recursive=result_type not in {"first sd_name", "first name sd_name pair"}, - ) - - result_str = "" - if result_type == "first sd_name": - result_str = models_data[0]["sd_name_in_api"] if len(models_data) > 0 else "" - elif result_type == "first name sd_name pair": - result_str = ( - json.dumps({"name": models_data[0]["name"], "sd_name": models_data[0]["sd_name_in_api"]}) - if len(models_data) > 0 - else "" - ) - elif result_type == "sd_name array": - sd_name_array = [model["sd_name_in_api"] for model in models_data] if len(models_data) > 0 else [] - result_str = json.dumps(sd_name_array) - elif result_type == "name array": - name_array = [model["name"] for model in models_data] if len(models_data) > 0 else [] - result_str = json.dumps(name_array) - elif result_type == "name sd_name pair array": - name_sd_name_pair_array = ( - [{"name": model["name"], "sd_name": model["sd_name_in_api"]} for model in models_data] - if len(models_data) > 0 - else [] - ) - result_str = json.dumps(name_sd_name_pair_array) - elif result_type == "whole info array": - result_str = json.dumps(models_data) - else: - raise NotImplementedError - - return self.create_text_message(result_str) - - def _query_models( - self, - models_data: list, - headers: dict[str, Any], - params: dict[str, Any], - pagination_cursor: str = "", - recursive: bool = True, - ) -> list: - """ - query models - """ - inside_params = deepcopy(params) - - if pagination_cursor != "": - inside_params["pagination.cursor"] = pagination_cursor - - response = ssrf_proxy.get( - url=str(URL(self._model_query_endpoint)), headers=headers, params=params, timeout=(10, 60) - ) - - res_data = response.json() - - models_data.extend(res_data["models"]) - - res_data_len = len(res_data["models"]) - if res_data_len == 0 or res_data_len < int(params["pagination.limit"]) or recursive is False: - # deduplicate - df = DataFrame.from_dict(models_data) - df_unique = df.drop_duplicates(subset=["id"]) - models_data = df_unique.to_dict("records") - return models_data - - return self._query_models( - models_data=models_data, - headers=headers, - params=inside_params, - pagination_cursor=res_data["pagination"]["next_cursor"], - ) - - def _process_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]: - """ - process parameters - """ - process_parameters = deepcopy(parameters) - res_parameters = {} - - # delete none or empty - keys_to_delete = [k for k, v in process_parameters.items() if v is None or v == ""] - for k in keys_to_delete: - del process_parameters[k] - - if "query" in process_parameters and process_parameters.get("query") != "unspecified": - res_parameters["filter.query"] = process_parameters["query"] - - if "visibility" in process_parameters and process_parameters.get("visibility") != "unspecified": - res_parameters["filter.visibility"] = process_parameters["visibility"] - - if "source" in process_parameters and process_parameters.get("source") != "unspecified": - res_parameters["filter.source"] = process_parameters["source"] - - if "type" in process_parameters and process_parameters.get("type") != "unspecified": - res_parameters["filter.types"] = process_parameters["type"] - - if "is_sdxl" in process_parameters: - if process_parameters["is_sdxl"] == "true": - res_parameters["filter.is_sdxl"] = True - elif process_parameters["is_sdxl"] == "false": - res_parameters["filter.is_sdxl"] = False - - res_parameters["result_type"] = process_parameters.get("result_type", "first sd_name") - - res_parameters["pagination.limit"] = ( - 1 - if res_parameters.get("result_type") == "first sd_name" - or res_parameters.get("result_type") == "first name sd_name pair" - else 100 - ) - - return res_parameters diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml deleted file mode 100644 index a14795e45e0e4f..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_modelquery.yaml +++ /dev/null @@ -1,175 +0,0 @@ -identity: - name: novitaai_modelquery - author: Xiao Ley - label: - en_US: Novita AI Model Query - zh_Hans: Novita AI 模型查询 -description: - human: - en_US: Retrieve information on both public and private models. It allows users to access details such as model specifications, status, and usage guidelines, ensuring comprehensive insight into the available modeling resources. - zh_Hans: 检索公开和私有模型信息。它允许用户访问模型规范、状态和使用指南等详细信息，确保了解可用的建模资源。 - llm: A tool for retrieve information on both public and private Novita AI models. -parameters: - - name: query - type: string - required: false - label: - en_US: query - zh_Hans: 查询 - human_description: - en_US: Seaching the content of sd_name, name, tags. - zh_Hans: 搜索 sd_name、name、tags 中的内容 - llm_description: Enter the content to search - form: llm - - name: result_type - type: select - default: "first sd_name" - required: true - label: - en_US: result format - zh_Hans: 结果格式 - human_description: - en_US: The format of result - zh_Hans: 请求结果的格式 - form: form - options: - - value: "first sd_name" - label: - en_US: "first sd_name" - zh_Hans: "第一个 sd_name" - - value: "first name sd_name pair" - label: - en_US: "first name and sd_name pair: {name, sd_name}" - zh_Hans: "第一个 name sd_name 组合：{name, sd_name}" - - value: "sd_name array" - label: - en_US: "sd_name array: [sd_name]" - zh_Hans: "sd_name 数组：[sd_name]" - - value: "name array" - label: - en_US: "name array: [name]" - zh_Hans: "name 数组：[name]" - - value: "name sd_name pair array" - label: - en_US: "name and sd_name pair array: [{name, sd_name}]" - zh_Hans: "name sd_name 组合数组：[{name, sd_name}]" - - value: "whole info array" - label: - en_US: whole info array - zh_Hans: 完整信息数组 - - name: visibility - type: select - default: unspecified - required: false - label: - en_US: visibility - zh_Hans: 可见性 - human_description: - en_US: Whether the model is public or private - zh_Hans: 模型是否公开或私有 - form: form - options: - - value: unspecified - label: - en_US: Unspecified - zh_Hans: 未指定 - - value: public - label: - en_US: Public - zh_Hans: 公开 - - value: private - label: - en_US: Private - zh_Hans: 私有 - - name: source - type: select - default: unspecified - required: false - label: - en_US: source - zh_Hans: 来源 - human_description: - en_US: Source of the model - zh_Hans: 模型来源 - form: form - options: - - value: unspecified - label: - en_US: Unspecified - zh_Hans: 未指定 - - value: civitai - label: - en_US: Civitai - zh_Hans: Civitai - - value: training - label: - en_US: Training - zh_Hans: 训练 - - value: uploading - label: - en_US: Uploading - zh_Hans: 上传 - - name: type - type: select - default: unspecified - required: false - label: - en_US: type - zh_Hans: 类型 - human_description: - en_US: Specifies the type of models to include in the query. - zh_Hans: 指定要查询的模型类型 - form: form - options: - - value: unspecified - label: - en_US: Unspecified - zh_Hans: 未指定 - - value: checkpoint - label: - en_US: Checkpoint - zh_Hans: Checkpoint - - value: lora - label: - en_US: LoRA - zh_Hans: LoRA - - value: vae - label: - en_US: VAE - zh_Hans: VAE - - value: controlnet - label: - en_US: ControlNet - zh_Hans: ControlNet - - value: upscaler - label: - en_US: Upscaler - zh_Hans: Upscaler - - value: textualinversion - label: - en_US: Textual inversion - zh_Hans: Textual Inversion - - name: is_sdxl - type: select - default: unspecified - required: false - label: - en_US: is sdxl - zh_Hans: 是否是 SDXL - human_description: - en_US: Whether sdxl model or not. Setting this parameter to `true` includes only sdxl models in the query results, which are typically large-scale, high-performance models designed for extensive data processing tasks. Conversely, setting it to `false` excludes these models from the results. If left unspecified, the filter will not discriminate based on the sdxl classification, including all model types in the search results. - zh_Hans: 是否是 SDXL 模型。设置此参数为 `是`，只查询 SDXL 模型，并包含大规模，高性能的模型。相反，设置为 `否`，将排除这些模型。如果未指定，将不会根据 SDXL 分类进行区分，包括查询结果中的所有模型类型。 - form: form - options: - - value: unspecified - label: - en_US: Unspecified - zh_Hans: 未指定 - - value: "true" - label: - en_US: "True" - zh_Hans: 是 - - value: "false" - label: - en_US: "False" - zh_Hans: 否 diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py b/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py deleted file mode 100644 index 297a27abba667a..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.py +++ /dev/null @@ -1,90 +0,0 @@ -from base64 import b64decode -from copy import deepcopy -from typing import Any, Union - -from novita_client import ( # type: ignore - NovitaClient, -) - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.novitaai._novita_tool_base import NovitaAiToolBase -from core.tools.tool.builtin_tool import BuiltinTool - - -class NovitaAiTxt2ImgTool(BuiltinTool, NovitaAiToolBase): - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"): - raise ToolProviderCredentialValidationError("Novita AI API Key is required.") - - api_key = self.runtime.credentials.get("api_key") - - client = NovitaClient(api_key=api_key) - param = self._process_parameters(tool_parameters) - client_result = client.txt2img_v3(**param) - - results = [] - for image_encoded, image in zip(client_result.images_encoded, client_result.images): - if self._is_hit_nsfw_detection(image, 0.8): - results = self.create_text_message(text="NSFW detected!") - break - - results.append( - self.create_blob_message( - blob=b64decode(image_encoded), - meta={"mime_type": f"image/{image.image_type}"}, - save_as=self.VariableKey.IMAGE.value, - ) - ) - - return results - - def _process_parameters(self, parameters: dict[str, Any]) -> dict[str, Any]: - """ - process parameters - """ - res_parameters = deepcopy(parameters) - - # delete none and empty - keys_to_delete = [k for k, v in res_parameters.items() if v is None or v == ""] - for k in keys_to_delete: - del res_parameters[k] - - if "clip_skip" in res_parameters and res_parameters.get("clip_skip") == 0: - del res_parameters["clip_skip"] - - if "refiner_switch_at" in res_parameters and res_parameters.get("refiner_switch_at") == 0: - del res_parameters["refiner_switch_at"] - - if "enabled_enterprise_plan" in res_parameters: - res_parameters["enterprise_plan"] = {"enabled": res_parameters["enabled_enterprise_plan"]} - del res_parameters["enabled_enterprise_plan"] - - if "nsfw_detection_level" in res_parameters: - res_parameters["nsfw_detection_level"] = int(res_parameters["nsfw_detection_level"]) - - # process loras - if "loras" in res_parameters: - res_parameters["loras"] = self._extract_loras(res_parameters.get("loras")) - - # process embeddings - if "embeddings" in res_parameters: - res_parameters["embeddings"] = self._extract_embeddings(res_parameters.get("embeddings")) - - # process hires_fix - if "hires_fix" in res_parameters: - res_parameters["hires_fix"] = self._extract_hires_fix(res_parameters.get("hires_fix")) - - # process refiner - if "refiner_switch_at" in res_parameters: - res_parameters["refiner"] = self._extract_refiner(res_parameters.get("refiner_switch_at")) - del res_parameters["refiner_switch_at"] - - return res_parameters diff --git a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml b/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml deleted file mode 100644 index d625a643f915b1..00000000000000 --- a/api/core/tools/provider/builtin/novitaai/tools/novitaai_txt2img.yaml +++ /dev/null @@ -1,341 +0,0 @@ -identity: - name: novitaai_txt2img - author: Xiao Ley - label: - en_US: Novita AI Text to Image - zh_Hans: Novita AI 文字转图像 -description: - human: - en_US: Generate images from text prompts using Stable Diffusion models - zh_Hans: 通过 Stable Diffusion 模型根据文字提示生成图像 - llm: A tool for generate images from English text prompts. -parameters: - - name: model_name - type: string - required: true - label: - en_US: model name - zh_Hans: 模块名字 - human_description: - en_US: Specify the name of the model checkpoint. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "Checkpoint"). - zh_Hans: 指定 Model Checkpoint 名称。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“Checkpoint”）。 - form: form - - name: prompt - type: string - required: true - label: - en_US: prompt - zh_Hans: 提示 - human_description: - en_US: Text input required to guide the image generation, divided by `,`, Range [1, 1024]. Only English input is allowed. - zh_Hans: 生成图像的正向提示，用 `,` 分隔，范围 [1, 1024]。仅允许输入英文。 - llm_description: Image prompt of Novita AI, you should describe the image you want to generate as a list of words as possible as detailed, divided by `,`, Range [1, 1024]. Only English input is allowed. - form: llm - - name: negative_prompt - type: string - required: false - label: - en_US: negative prompt - zh_Hans: 负向提示 - human_description: - en_US: Text input that will not guide the image generation, divided by `,`, Range [1, 1024]. Only English input is allowed. - zh_Hans: 生成图像的负向提示，用 `,` 分隔，范围 [1, 1024]。仅允许输入英文。 - llm_description: Image negative prompt of Novita AI, divided by `,`, Range [1, 1024]. Only English input is allowed. - form: llm - - name: width - type: number - default: 512 - min: 128 - max: 2048 - required: true - label: - en_US: width - zh_Hans: 宽 - human_description: - en_US: Image width, Range [128, 2048]. - zh_Hans: 图像宽度，范围 [128, 2048] - form: form - - name: height - type: number - default: 512 - min: 128 - max: 2048 - required: true - label: - en_US: height - zh_Hans: 高 - human_description: - en_US: Image height, Range [128, 2048]. - zh_Hans: 图像高度，范围 [128, 2048] - form: form - - name: image_num - type: number - default: 1 - min: 1 - max: 8 - required: true - label: - en_US: image num - zh_Hans: 图片数 - human_description: - en_US: Image num, Range [1, 8]. - zh_Hans: 图片数，范围 [1, 8] - form: form - - name: steps - type: number - default: 20 - min: 1 - max: 100 - required: true - label: - en_US: steps - zh_Hans: 步数 - human_description: - en_US: The number of denoising steps. More steps usually can produce higher quality images, but take more time to generate, Range [1, 100]. - zh_Hans: 生成步数。更多步数可能会产生更好的图像，但生成时间更长，范围 [1, 100] - form: form - - name: seed - type: number - default: -1 - required: true - label: - en_US: seed - zh_Hans: 种子 - human_description: - en_US: A seed is a number from which Stable Diffusion generates noise, which, makes generation deterministic. Using the same seed and set of parameters will produce identical image each time, minimum -1. - zh_Hans: 种子是 Stable Diffusion 生成噪声的数字，它使生成具有确定性。使用相同的种子和参数设置将生成每次生成相同的图像，最小值 -1。 - form: form - - name: clip_skip - type: number - min: 1 - max: 12 - required: false - label: - en_US: clip skip - zh_Hans: 层跳过数 - human_description: - en_US: This parameter indicates the number of layers to stop from the bottom during optimization, so clip_skip on 2 would mean, that in SD1.x model where the CLIP has 12 layers, you would stop at 10th layer, Range [1, 12], get reference at https://novita.ai/get-started/Misc.html#what-s-clip-skip. - zh_Hans: 此参数表示优化过程中从底部停止的层数，因此 clip_skip 的值为 2，表示在 SD1.x 模型中，CLIP 有 12 层，你将停止在 10 层，范围 [1, 12]，参考 https://novita.ai/get-started/Misc.html#what-s-clip-skip。 - form: form - - name: guidance_scale - type: number - default: "7.5" - min: 1.0 - max: 30.0 - required: true - label: - en_US: guidance scale - zh_Hans: 提示词遵守程度 - human_description: - en_US: This setting says how close the Stable Diffusion will listen to your prompt, higer guidance forces the model to better follow the prompt, but result in lower quality output.Range [1, 30]. - zh_Hans: 此设置表明 Stable Diffusion 如何听从您的提示，较高的 guidance_scale 会强制模型更好跟随提示，但结果会更低质量输出。范围 [1.0, 30.0]。 - form: form - - name: sampler_name - type: select - required: true - label: - en_US: sampler name - zh_Hans: 采样器名称 - human_description: - en_US: This parameter determines the denoising algorithm employed during the sampling phase of Stable Diffusion. Get reference at https://novita.ai/get-started/Misc.htmll#what-is-samplers. - zh_Hans: 此参数决定了在稳定扩散采样阶段使用的去噪算法。参考 https://novita.ai/get-started/Misc.htmll#what-is-samplers。 - form: form - options: - - value: "Euler a" - label: - en_US: Euler a - zh_Hans: Euler a - - value: "Euler" - label: - en_US: Euler - zh_Hans: Euler - - value: "LMS" - label: - en_US: LMS - zh_Hans: LMS - - value: "Heun" - label: - en_US: Heun - zh_Hans: Heun - - value: "DPM2" - label: - en_US: DPM2 - zh_Hans: DPM2 - - value: "DPM2 a" - label: - en_US: DPM2 a - zh_Hans: DPM2 a - - value: "DPM++ 2S a" - label: - en_US: DPM++ 2S a - zh_Hans: DPM++ 2S a - - value: "DPM++ 2M" - label: - en_US: DPM++ 2M - zh_Hans: DPM++ 2M - - value: "DPM++ SDE" - label: - en_US: DPM++ SDE - zh_Hans: DPM++ SDE - - value: "DPM fast" - label: - en_US: DPM fast - zh_Hans: DPM fast - - value: "DPM adaptive" - label: - en_US: DPM adaptive - zh_Hans: DPM adaptive - - value: "LMS Karras" - label: - en_US: LMS Karras - zh_Hans: LMS Karras - - value: "DPM2 Karras" - label: - en_US: DPM2 Karras - zh_Hans: DPM2 Karras - - value: "DPM2 a Karras" - label: - en_US: DPM2 a Karras - zh_Hans: DPM2 a Karras - - value: "DPM++ 2S a Karras" - label: - en_US: DPM++ 2S a Karras - zh_Hans: DPM++ 2S a Karras - - value: "DPM++ 2M Karras" - label: - en_US: DPM++ 2M Karras - zh_Hans: DPM++ 2M Karras - - value: "DPM++ SDE Karras" - label: - en_US: DPM++ SDE Karras - zh_Hans: DPM++ SDE Karras - - value: "DDIM" - label: - en_US: DDIM - zh_Hans: DDIM - - value: "PLMS" - label: - en_US: PLMS - zh_Hans: PLMS - - value: "UniPC" - label: - en_US: UniPC - zh_Hans: UniPC - - name: sd_vae - type: string - required: false - label: - en_US: sd vae - zh_Hans: sd vae - human_description: - en_US: VAE(Variational Autoencoder), get reference at https://novita.ai/get-started/Misc.html#what-s-variational-autoencoders-vae. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "VAE"). - zh_Hans: VAE（变分自编码器），参考 https://novita.ai/get-started/Misc.html#what-s-variational-autoencoders-vae。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“VAE”）。 - form: form - - name: loras - type: string - required: false - label: - en_US: loRAs - zh_Hans: loRAs - human_description: - en_US: LoRA models. Currenlty supports up to 5 LoRAs. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "LoRA"). Input template is ",;,;...". Such as"Film Grain style_331903,0.5;DoggystylePOV_9600,0.5" - zh_Hans: LoRA 模型。目前仅支持 5 个 LoRA。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“LoRA”）。输入模板：“,;,;...”，例如：“Film Grain style_331903,0.5;DoggystylePOV_9600,0.5” - form: form - - name: embeddings - type: string - required: false - label: - en_US: text embeddings - zh_Hans: 文本嵌入 - human_description: - en_US: Textual Inversion is a training method for personalizing models by learning new text embeddings from a few example images, currenlty supports up to 5 embeddings. You can use the "Novita AI Model Query" tool to query the corresponding "sd_name" value (type select "Text Inversion"). Input template is ";;...". Such as "EasyNegativeV2_75525;AS-YoungerV2" - zh_Hans: 文本反转是一种通过从一些示例图像中学习新的文本嵌入来个性化模型的训练方法，目前仅支持 5 个嵌入。可通过“Novita AI 模型请求”工具查询对应的“sd_name”值（类型选择“Text Inversion”）。输入模板：“;;...”，例如：“EasyNegativeV2_75525;AS-YoungerV2” - form: form - - name: hires_fix - type: string - required: false - label: - en_US: hires fix - zh_Hans: 高分辨率修复 - human_description: - en_US: Use high resolution image fix. Input template is ",,,". Such as "1024,1024,0.8", "1024,1024,0.8,RealESRGAN_x4plus_anime_6B" - zh_Hans: 使用高分辨率修复。输入模板 “,,,”。例如 “1024,1024,0.8”、“1024,1024,0.8,RealESRGAN_x4plus_anime_6B” - form: form - - name: refiner_switch_at - type: number - min: 0.0 - max: 1.0 - required: false - label: - en_US: refiner switch at - zh_Hans: 重采样参与时刻 - human_description: - en_US: This parameter in the context of a refiner allows you to set the extent to which the refiner alters the output of a model. When set to 0, the refiner has no effect; at 1, it's fully active. Intermediate values like 0.5 provide a balanced effect, where the refiner is moderately engaged, enhancing or adjusting the output without dominating the original model's characteristics. This setting is particularly useful for fine-tuning the output to achieve a desired balance between refinement and the original generative features, Range [0, 1.0]. Is not all models support refiners! - zh_Hans: 此参数允许您设置重采样更改模型输出的程度。当设置为0时，重采样不起作用；1时，它处于完全活动状态。像0.5这样的中间值提供了一种平衡效果，其中重采样适度参与，增强或调整输出，而不会主导原始模型的特性。此设置对于微调输出特别有用，范围 [0, 1.0]。不是所有模型都支持重采样！ - form: form - - name: response_image_type - type: select - default: jpeg - required: false - label: - en_US: response image type - zh_Hans: 响应图像类型 - human_description: - en_US: Response image type, png or jpeg - zh_Hans: 响应图像类型，png 或 jpeg - form: form - options: - - value: jpeg - label: - en_US: jpeg - zh_Hans: jpeg - - value: png - label: - en_US: png - zh_Hans: png - - name: enabled_enterprise_plan - type: boolean - default: false - required: false - label: - en_US: enterprise plan enabled - zh_Hans: 企业版计划启用 - human_description: - en_US: Enable enterprise plan - zh_Hans: 启用企业版计划 - form: form - - name: enable_nsfw_detection - type: boolean - default: false - required: false - label: - en_US: enable nsfw detection - zh_Hans: 启用 NSFW 检测 - human_description: - en_US: Enable nsfw detection - zh_Hans: 启用 NSFW 检测 - 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-from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class OneBotProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - if not credentials.get("ob11_http_url"): - raise ToolProviderCredentialValidationError("OneBot HTTP URL is required.") diff --git a/api/core/tools/provider/builtin/onebot/onebot.yaml b/api/core/tools/provider/builtin/onebot/onebot.yaml deleted file mode 100644 index 1922adc4de4d56..00000000000000 --- a/api/core/tools/provider/builtin/onebot/onebot.yaml +++ /dev/null @@ -1,35 +0,0 @@ -identity: - author: RockChinQ - name: onebot - label: - en_US: OneBot v11 Protocol - zh_Hans: OneBot v11 协议 - description: - en_US: Unofficial OneBot v11 Protocol Tool - zh_Hans: 非官方 OneBot v11 协议工具 - icon: icon.ico -credentials_for_provider: - ob11_http_url: - type: text-input - required: true - label: - en_US: HTTP URL - zh_Hans: HTTP URL - description: - en_US: Forward HTTP URL of OneBot v11 - zh_Hans: OneBot v11 正向 HTTP URL - help: - en_US: Fill this with the HTTP URL of your OneBot server - zh_Hans: 请在你的 OneBot 协议端开启 正向 HTTP 并填写其 URL - access_token: - type: secret-input - required: false - label: - en_US: Access Token - zh_Hans: 访问令牌 - description: - en_US: Access Token for OneBot v11 Protocol - zh_Hans: OneBot 协议访问令牌 - help: - en_US: Fill this if you set a access token in your OneBot server - zh_Hans: 如果你在 OneBot 服务器中设置了 access token，请填写此项 diff --git a/api/core/tools/provider/builtin/onebot/tools/__init__.py b/api/core/tools/provider/builtin/onebot/tools/__init__.py deleted file mode 100644 index e69de29bb2d1d6..00000000000000 diff --git a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py deleted file mode 100644 index 9c95bbc2ae8d2d..00000000000000 --- a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import Any, Union - -import requests -from yarl import URL - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SendGroupMsg(BuiltinTool): - """OneBot v11 Tool: Send Group Message""" - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - # Get parameters - send_group_id = tool_parameters.get("group_id", "") - - message = tool_parameters.get("message", "") - if not message: - return self.create_json_message({"error": "Message is empty."}) - - auto_escape = tool_parameters.get("auto_escape", False) - - try: - url = URL(self.runtime.credentials["ob11_http_url"]) / "send_group_msg" - - resp = requests.post( - url, - json={"group_id": send_group_id, "message": message, "auto_escape": auto_escape}, - headers={"Authorization": "Bearer " + self.runtime.credentials["access_token"]}, - ) - - if resp.status_code != 200: - return self.create_json_message({"error": f"Failed to send group message: {resp.text}"}) - - return self.create_json_message({"response": resp.json()}) - except Exception as e: - return self.create_json_message({"error": f"Failed to send group message: {e}"}) diff --git a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml b/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml deleted file mode 100644 index 64beaa85457a3a..00000000000000 --- a/api/core/tools/provider/builtin/onebot/tools/send_group_msg.yaml +++ /dev/null @@ -1,46 +0,0 @@ -identity: - name: send_group_msg - author: RockChinQ - label: - en_US: Send Group Message - zh_Hans: 发送群消息 -description: - human: - en_US: Send a message to a group - zh_Hans: 发送消息到群聊 - llm: A tool for sending a message segment to a group -parameters: - - name: group_id - type: number - required: true - label: - en_US: Target Group ID - zh_Hans: 目标群 ID - human_description: - en_US: The group ID of the target group - zh_Hans: 目标群的群 ID - llm_description: The group ID of the target group - form: llm - - name: message - type: string - required: true - label: - en_US: Message - zh_Hans: 消息 - human_description: - en_US: The message to send - zh_Hans: 要发送的消息。支持 CQ码（需要同时设置 auto_escape 为 true） - llm_description: The message to send - form: llm - - name: auto_escape - type: boolean - required: false - default: false - label: - en_US: Auto Escape - zh_Hans: 自动转义 - human_description: - en_US: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. Since Dify currently does not support passing Object-format message chains, developers can send complex message components through CQ codes. - zh_Hans: 若为 true 则会把 message 视为 CQ 码解析，否则视为 纯文本 直接发送。由于 Dify 目前不支持传入 Object格式 的消息，故开发者可以通过 CQ 码来发送复杂消息组件。 - llm_description: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. - form: form diff --git a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py deleted file mode 100644 index 1174c7f07d002f..00000000000000 --- a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import Any, Union - -import requests -from yarl import URL - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class SendPrivateMsg(BuiltinTool): - """OneBot v11 Tool: Send Private Message""" - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - # Get parameters - send_user_id = tool_parameters.get("user_id", "") - - message = tool_parameters.get("message", "") - if not message: - return self.create_json_message({"error": "Message is empty."}) - - auto_escape = tool_parameters.get("auto_escape", False) - - try: - url = URL(self.runtime.credentials["ob11_http_url"]) / "send_private_msg" - - resp = requests.post( - url, - json={"user_id": send_user_id, "message": message, "auto_escape": auto_escape}, - headers={"Authorization": "Bearer " + self.runtime.credentials["access_token"]}, - ) - - if resp.status_code != 200: - return self.create_json_message({"error": f"Failed to send private message: {resp.text}"}) - - return self.create_json_message({"response": resp.json()}) - except Exception as e: - return self.create_json_message({"error": f"Failed to send private message: {e}"}) diff --git a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml b/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml deleted file mode 100644 index 8200ce4a83f4e2..00000000000000 --- a/api/core/tools/provider/builtin/onebot/tools/send_private_msg.yaml +++ /dev/null @@ -1,46 +0,0 @@ -identity: - name: send_private_msg - author: RockChinQ - label: - en_US: Send Private Message - zh_Hans: 发送私聊消息 -description: - human: - en_US: Send a private message to a user - zh_Hans: 发送私聊消息给用户 - llm: A tool for sending a message segment to a user in private chat -parameters: - - name: user_id - type: number - required: true - label: - en_US: Target User ID - zh_Hans: 目标用户 ID - human_description: - en_US: The user ID of the target user - zh_Hans: 目标用户的用户 ID - llm_description: The user ID of the target user - form: llm - - name: message - type: string - required: true - label: - en_US: Message - zh_Hans: 消息 - human_description: - en_US: The message to send - zh_Hans: 要发送的消息。支持 CQ码（需要同时设置 auto_escape 为 true） - llm_description: The message to send - form: llm - - name: auto_escape - type: boolean - required: false - default: false - label: - en_US: Auto Escape - zh_Hans: 自动转义 - human_description: - en_US: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. Since Dify currently does not support passing Object-format message chains, developers can send complex message components through CQ codes. - zh_Hans: 若为 true 则会把 message 视为 CQ 码解析，否则视为 纯文本 直接发送。由于 Dify 目前不支持传入 Object格式 的消息，故开发者可以通过 CQ 码来发送复杂消息组件。 - llm_description: If true, the message will be treated as a CQ code for parsing, otherwise it will be treated as plain text for direct sending. - form: form diff --git a/api/core/tools/provider/builtin/openweather/_assets/icon.svg b/api/core/tools/provider/builtin/openweather/_assets/icon.svg deleted file mode 100644 index f06cd87e64c9d3..00000000000000 --- a/api/core/tools/provider/builtin/openweather/_assets/icon.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/openweather/openweather.py b/api/core/tools/provider/builtin/openweather/openweather.py deleted file mode 100644 index 9e40249aba6b40..00000000000000 --- a/api/core/tools/provider/builtin/openweather/openweather.py +++ /dev/null @@ -1,29 +0,0 @@ -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -def query_weather(city="Beijing", units="metric", language="zh_cn", api_key=None): - url = "https://api.openweathermap.org/data/2.5/weather" - params = {"q": city, "appid": api_key, "units": units, "lang": language} - - return requests.get(url, params=params) - - -class OpenweatherProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - if "api_key" not in credentials or not credentials.get("api_key"): - raise ToolProviderCredentialValidationError("Open weather API key is required.") - apikey = credentials.get("api_key") - try: - response = query_weather(api_key=apikey) - if response.status_code == 200: - pass - else: - raise ToolProviderCredentialValidationError((response.json()).get("info")) - except Exception as e: - raise ToolProviderCredentialValidationError("Open weather API Key is invalid. {}".format(e)) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/openweather/openweather.yaml b/api/core/tools/provider/builtin/openweather/openweather.yaml deleted file mode 100644 index d4b66f87f908c6..00000000000000 --- a/api/core/tools/provider/builtin/openweather/openweather.yaml +++ /dev/null @@ -1,31 +0,0 @@ -identity: - author: Onelevenvy - name: openweather - label: - en_US: Open weather query - zh_Hans: Open Weather - pt_BR: Consulta de clima open weather - description: - en_US: Weather query toolkit based on Open Weather - zh_Hans: 基于open weather的天气查询工具包 - pt_BR: Kit de consulta de clima baseado no Open Weather - icon: icon.svg - tags: - - weather -credentials_for_provider: - api_key: - type: secret-input - required: true - label: - en_US: API Key - zh_Hans: API Key - pt_BR: Fogo a chave - placeholder: - en_US: Please enter your open weather API Key - zh_Hans: 请输入你的open weather API Key - pt_BR: Insira sua chave de API open weather - help: - en_US: Get your API Key from open weather - zh_Hans: 从open weather获取您的 API Key - pt_BR: Obtenha sua chave de API do open weather - url: https://openweathermap.org diff --git a/api/core/tools/provider/builtin/openweather/tools/weather.py b/api/core/tools/provider/builtin/openweather/tools/weather.py deleted file mode 100644 index ed4ec487fa984a..00000000000000 --- a/api/core/tools/provider/builtin/openweather/tools/weather.py +++ /dev/null @@ -1,52 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class OpenweatherTool(BuiltinTool): - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - city = tool_parameters.get("city", "") - if not city: - return self.create_text_message("Please tell me your city") - if "api_key" not in self.runtime.credentials or not self.runtime.credentials.get("api_key"): - return self.create_text_message("OpenWeather API key is required.") - - units = tool_parameters.get("units", "metric") - lang = tool_parameters.get("lang", "zh_cn") - try: - # request URL - url = "https://api.openweathermap.org/data/2.5/weather" - - # request params - params = { - "q": city, - "appid": self.runtime.credentials.get("api_key"), - "units": units, - "lang": lang, - } - response = requests.get(url, params=params) - - if response.status_code == 200: - data = response.json() - return self.create_text_message( - self.summary(user_id=user_id, content=json.dumps(data, ensure_ascii=False)) - ) - else: - error_message = { - "error": f"failed:{response.status_code}", - "data": response.text, - } - # return error - return json.dumps(error_message) - - except Exception as e: - return self.create_text_message("Openweather API Key is invalid. {}".format(e)) diff --git a/api/core/tools/provider/builtin/openweather/tools/weather.yaml b/api/core/tools/provider/builtin/openweather/tools/weather.yaml deleted file mode 100644 index f2dae5c2df9c08..00000000000000 --- a/api/core/tools/provider/builtin/openweather/tools/weather.yaml +++ /dev/null @@ -1,80 +0,0 @@ -identity: - name: weather - author: Onelevenvy - label: - en_US: Open Weather Query - zh_Hans: 天气查询 - pt_BR: Previsão do tempo - icon: icon.svg -description: - human: - en_US: Weather forecast inquiry - zh_Hans: 天气查询 - pt_BR: Inquérito sobre previsão meteorológica - llm: A tool when you want to ask about the weather or weather-related question -parameters: - - name: city - type: string - required: true - label: - en_US: city - zh_Hans: 城市 - pt_BR: cidade - human_description: - en_US: Target city for weather forecast query - zh_Hans: 天气预报查询的目标城市 - pt_BR: Cidade de destino para consulta de previsão do tempo - llm_description: If you don't know you can extract the city name from the - question or you can reply：Please tell me your city. You have to extract - the Chinese city name from the question.If the input region is in Chinese - characters for China, it should be replaced with the corresponding English - name, such as '北京' for correct input is 'Beijing' - form: llm - - name: lang - type: select - required: true - human_description: - en_US: language - zh_Hans: 语言 - pt_BR: language - label: - en_US: language - zh_Hans: 语言 - pt_BR: language - form: form - options: - - value: zh_cn - label: - en_US: cn - zh_Hans: 中国 - pt_BR: cn - - value: en_us - label: - en_US: usa - zh_Hans: 美国 - pt_BR: usa - default: zh_cn - - name: units - type: select - required: true - human_description: - en_US: units for temperature - zh_Hans: 温度单位 - pt_BR: units for temperature - label: - en_US: units - zh_Hans: 单位 - pt_BR: units - form: form - options: - - value: metric - label: - en_US: metric - zh_Hans: ℃ - pt_BR: metric - - value: imperial - label: - en_US: imperial - zh_Hans: ℉ - pt_BR: imperial - default: metric diff --git a/api/core/tools/provider/builtin/perplexity/_assets/icon.svg b/api/core/tools/provider/builtin/perplexity/_assets/icon.svg deleted file mode 100644 index c2974c142fc622..00000000000000 --- a/api/core/tools/provider/builtin/perplexity/_assets/icon.svg +++ /dev/null @@ -1,3 +0,0 @@ - - - diff --git a/api/core/tools/provider/builtin/perplexity/perplexity.py b/api/core/tools/provider/builtin/perplexity/perplexity.py deleted file mode 100644 index 80518853fb4a4b..00000000000000 --- a/api/core/tools/provider/builtin/perplexity/perplexity.py +++ /dev/null @@ -1,38 +0,0 @@ -from typing import Any - -import requests - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.perplexity.tools.perplexity_search import PERPLEXITY_API_URL -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class PerplexityProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - headers = { - "Authorization": f"Bearer {credentials.get('perplexity_api_key')}", - "Content-Type": "application/json", - } - - payload = { - "model": "llama-3.1-sonar-small-128k-online", - "messages": [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "Hello"}, - ], - "max_tokens": 5, - "temperature": 0.1, - "top_p": 0.9, - "stream": False, - } - - try: - response = requests.post(PERPLEXITY_API_URL, json=payload, headers=headers) - response.raise_for_status() - except requests.RequestException as e: - raise ToolProviderCredentialValidationError(f"Failed to validate Perplexity API key: {str(e)}") - - if response.status_code != 200: - raise ToolProviderCredentialValidationError( - f"Perplexity API key is invalid. Status code: {response.status_code}" - ) diff --git a/api/core/tools/provider/builtin/perplexity/perplexity.yaml b/api/core/tools/provider/builtin/perplexity/perplexity.yaml deleted file mode 100644 index c0b504f300c45a..00000000000000 --- a/api/core/tools/provider/builtin/perplexity/perplexity.yaml +++ /dev/null @@ -1,26 +0,0 @@ -identity: - author: Dify - name: perplexity - label: - en_US: Perplexity - zh_Hans: Perplexity - description: - en_US: Perplexity.AI - zh_Hans: Perplexity.AI - icon: icon.svg - tags: - - search -credentials_for_provider: - perplexity_api_key: - type: secret-input - required: true - label: - en_US: Perplexity API key - zh_Hans: Perplexity API key - placeholder: - en_US: Please input your Perplexity API key - zh_Hans: 请输入你的 Perplexity API key - help: - en_US: Get your Perplexity API key from Perplexity - zh_Hans: 从 Perplexity 获取您的 Perplexity API key - url: https://www.perplexity.ai/settings/api diff --git a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.py b/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.py deleted file mode 100644 index 5ed4b9ca993483..00000000000000 --- a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.py +++ /dev/null @@ -1,67 +0,0 @@ -import json -from typing import Any, Union - -import requests - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - -PERPLEXITY_API_URL = "https://api.perplexity.ai/chat/completions" - - -class PerplexityAITool(BuiltinTool): - def _parse_response(self, response: dict) -> dict: - """Parse the response from Perplexity AI API""" - if "choices" in response and len(response["choices"]) > 0: - message = response["choices"][0]["message"] - return { - "content": message.get("content", ""), - "role": message.get("role", ""), - "citations": response.get("citations", []), - } - else: - return {"content": "Unable to get a valid response", "role": "assistant", "citations": []} - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - headers = { - "Authorization": f"Bearer {self.runtime.credentials['perplexity_api_key']}", - "Content-Type": "application/json", - } - - payload = { - "model": tool_parameters.get("model", "llama-3.1-sonar-small-128k-online"), - "messages": [ - {"role": "system", "content": "Be precise and concise."}, - {"role": "user", "content": tool_parameters["query"]}, - ], - "max_tokens": tool_parameters.get("max_tokens", 4096), - "temperature": tool_parameters.get("temperature", 0.7), - "top_p": tool_parameters.get("top_p", 1), - "top_k": tool_parameters.get("top_k", 5), - "presence_penalty": tool_parameters.get("presence_penalty", 0), - "frequency_penalty": tool_parameters.get("frequency_penalty", 1), - "stream": False, - } - - if "search_recency_filter" in tool_parameters: - payload["search_recency_filter"] = tool_parameters["search_recency_filter"] - if "return_citations" in tool_parameters: - payload["return_citations"] = tool_parameters["return_citations"] - if "search_domain_filter" in tool_parameters: - if isinstance(tool_parameters["search_domain_filter"], str): - payload["search_domain_filter"] = [tool_parameters["search_domain_filter"]] - elif isinstance(tool_parameters["search_domain_filter"], list): - payload["search_domain_filter"] = tool_parameters["search_domain_filter"] - - response = requests.post(url=PERPLEXITY_API_URL, json=payload, headers=headers) - response.raise_for_status() - valuable_res = self._parse_response(response.json()) - - return [ - self.create_json_message(valuable_res), - self.create_text_message(json.dumps(valuable_res, ensure_ascii=False, indent=2)), - ] diff --git a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.yaml b/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.yaml deleted file mode 100644 index 02a645df335aaf..00000000000000 --- a/api/core/tools/provider/builtin/perplexity/tools/perplexity_search.yaml +++ /dev/null @@ -1,178 +0,0 @@ -identity: - name: perplexity - author: Dify - label: - en_US: Perplexity Search -description: - human: - en_US: Search information using Perplexity AI's language models. - llm: This tool is used to search information using Perplexity AI's language models. -parameters: - - name: query - type: string - required: true - label: - en_US: Query - zh_Hans: 查询 - human_description: - en_US: The text query to be processed by the AI model. - zh_Hans: 要由 AI 模型处理的文本查询。 - form: llm - - name: model - type: select - required: false - label: - en_US: Model Name - zh_Hans: 模型名称 - human_description: - en_US: The Perplexity AI model to use for generating the response. - zh_Hans: 用于生成响应的 Perplexity AI 模型。 - form: form - default: "llama-3.1-sonar-small-128k-online" - options: - - value: llama-3.1-sonar-small-128k-online - label: - en_US: llama-3.1-sonar-small-128k-online - zh_Hans: llama-3.1-sonar-small-128k-online - - value: llama-3.1-sonar-large-128k-online - label: - en_US: llama-3.1-sonar-large-128k-online - zh_Hans: llama-3.1-sonar-large-128k-online - - value: llama-3.1-sonar-huge-128k-online - label: - en_US: llama-3.1-sonar-huge-128k-online - zh_Hans: llama-3.1-sonar-huge-128k-online - - name: max_tokens - type: number - required: false - label: - en_US: Max Tokens - zh_Hans: 最大令牌数 - pt_BR: Máximo de Tokens - human_description: - en_US: The maximum number of tokens to generate in the response. - zh_Hans: 在响应中生成的最大令牌数。 - pt_BR: O número máximo de tokens a serem gerados na resposta. - form: form - default: 4096 - min: 1 - max: 4096 - - name: temperature - type: number - required: false - label: - en_US: Temperature - zh_Hans: 温度 - pt_BR: Temperatura - human_description: - en_US: Controls randomness in the output. Lower values make the output more focused and deterministic. - zh_Hans: 控制输出的随机性。较低的值使输出更加集中和确定。 - form: form - default: 0.7 - min: 0 - max: 1 - - name: top_k - type: number - required: false - label: - en_US: Top K - zh_Hans: 取样数量 - human_description: - en_US: The number of top results to consider for response generation. - zh_Hans: 用于生成响应的顶部结果数量。 - form: form - default: 5 - min: 1 - max: 100 - - name: top_p - type: number - required: false - label: - en_US: Top P - zh_Hans: Top P - human_description: - en_US: Controls diversity via nucleus sampling. - zh_Hans: 通过核心采样控制多样性。 - form: form - default: 1 - min: 0.1 - max: 1 - step: 0.1 - - name: presence_penalty - type: number - required: false - label: - en_US: Presence Penalty - zh_Hans: 存在惩罚 - human_description: - en_US: Positive values penalize new tokens based on whether they appear in the text so far. - zh_Hans: 正值会根据新词元是否已经出现在文本中来对其进行惩罚。 - form: form - default: 0 - min: -1.0 - max: 1.0 - step: 0.1 - - name: frequency_penalty - type: number - required: false - label: - en_US: Frequency Penalty - zh_Hans: 频率惩罚 - human_description: - en_US: Positive values penalize new tokens based on their existing frequency in the text so far. - zh_Hans: 正值会根据新词元在文本中已经出现的频率来对其进行惩罚。 - form: form - default: 1 - min: 0.1 - max: 1.0 - step: 0.1 - - name: return_citations - type: boolean - required: false - label: - en_US: Return Citations - zh_Hans: 返回引用 - human_description: - en_US: Whether to return citations in the response. - zh_Hans: 是否在响应中返回引用。 - form: form - default: true - - name: search_domain_filter - type: string - required: false - label: - en_US: Search Domain Filter - zh_Hans: 搜索域过滤器 - human_description: - en_US: Domain to filter the search results. - zh_Hans: 用于过滤搜索结果的域名。 - form: form - default: "" - - name: search_recency_filter - type: select - required: false - label: - en_US: Search Recency Filter - zh_Hans: 搜索时间过滤器 - human_description: - en_US: Filter for search results based on recency. - zh_Hans: 基于时间筛选搜索结果。 - form: form - default: "month" - options: - - value: day - label: - en_US: Day - zh_Hans: 天 - - value: week - label: - en_US: Week - zh_Hans: 周 - - value: month - label: - en_US: Month - zh_Hans: 月 - - value: year - label: - en_US: Year - zh_Hans: 年 diff --git a/api/core/tools/provider/builtin/podcast_generator/_assets/icon.svg b/api/core/tools/provider/builtin/podcast_generator/_assets/icon.svg deleted file mode 100644 index 01743c9cd31120..00000000000000 --- a/api/core/tools/provider/builtin/podcast_generator/_assets/icon.svg +++ /dev/null @@ -1,24 +0,0 @@ - - - - - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.py b/api/core/tools/provider/builtin/podcast_generator/podcast_generator.py deleted file mode 100644 index a7f7ad2e78b9b0..00000000000000 --- a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.py +++ /dev/null @@ -1,38 +0,0 @@ -from typing import Any - -import openai -from yarl import URL - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class PodcastGeneratorProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - tts_service = credentials.get("tts_service") - api_key = credentials.get("api_key") - base_url = credentials.get("openai_base_url") - - if not tts_service: - raise ToolProviderCredentialValidationError("TTS service is not specified") - - if not api_key: - raise ToolProviderCredentialValidationError("API key is missing") - - if base_url: - base_url = str(URL(base_url) / "v1") - - if tts_service == "openai": - self._validate_openai_credentials(api_key, base_url) - else: - raise ToolProviderCredentialValidationError(f"Unsupported TTS service: {tts_service}") - - def _validate_openai_credentials(self, api_key: str, base_url: str | None) -> None: - client = openai.OpenAI(api_key=api_key, base_url=base_url) - try: - # We're using a simple API call to validate the credentials - client.models.list() - except openai.AuthenticationError: - raise ToolProviderCredentialValidationError("Invalid OpenAI API key") - except Exception as e: - raise ToolProviderCredentialValidationError(f"Error validating OpenAI API key: {str(e)}") diff --git a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.yaml b/api/core/tools/provider/builtin/podcast_generator/podcast_generator.yaml deleted file mode 100644 index d4edb17b28638e..00000000000000 --- a/api/core/tools/provider/builtin/podcast_generator/podcast_generator.yaml +++ /dev/null @@ -1,46 +0,0 @@ -identity: - author: Dify - name: podcast_generator - label: - en_US: Podcast Generator - zh_Hans: 播客生成器 - description: - en_US: Generate podcast audio using Text-to-Speech services - zh_Hans: 使用文字转语音服务生成播客音频 - icon: icon.svg -credentials_for_provider: - tts_service: - type: select - required: true - label: - en_US: TTS Service - zh_Hans: TTS 服务 - placeholder: - en_US: Select a TTS service - zh_Hans: 选择一个 TTS 服务 - options: - - label: - en_US: OpenAI TTS - zh_Hans: OpenAI TTS - value: openai - api_key: - type: secret-input - required: true - label: - en_US: API Key - zh_Hans: API 密钥 - placeholder: - en_US: Enter your TTS service API key - zh_Hans: 输入您的 TTS 服务 API 密钥 - openai_base_url: - type: text-input - required: false - label: - en_US: OpenAI base URL - zh_Hans: OpenAI base URL - help: - en_US: Please input your OpenAI base URL - zh_Hans: 请输入你的 OpenAI base URL - placeholder: - en_US: Please input your OpenAI base URL - zh_Hans: 请输入你的 OpenAI base URL diff --git a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.py b/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.py deleted file mode 100644 index 704e0015d961a3..00000000000000 --- a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.py +++ /dev/null @@ -1,114 +0,0 @@ -import concurrent.futures -import io -import random -import warnings -from typing import Any, Literal, Optional, Union - -import openai -from yarl import URL - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.errors import ToolParameterValidationError, ToolProviderCredentialValidationError -from core.tools.tool.builtin_tool import BuiltinTool - -with warnings.catch_warnings(): - warnings.simplefilter("ignore") - from pydub import AudioSegment # type: ignore - - -class PodcastAudioGeneratorTool(BuiltinTool): - @staticmethod - def _generate_silence(duration: float): - # Generate silent WAV data using pydub - silence = AudioSegment.silent(duration=int(duration * 1000)) # pydub uses milliseconds - return silence - - @staticmethod - def _generate_audio_segment( - client: openai.OpenAI, - line: str, - voice: Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"], - index: int, - ) -> tuple[int, Union[AudioSegment, str], Optional[AudioSegment]]: - try: - response = client.audio.speech.create(model="tts-1", voice=voice, input=line.strip(), response_format="wav") - audio = AudioSegment.from_wav(io.BytesIO(response.content)) - silence_duration = random.uniform(0.1, 1.5) - silence = PodcastAudioGeneratorTool._generate_silence(silence_duration) - return index, audio, silence - except Exception as e: - return index, f"Error generating audio: {str(e)}", None - - def _invoke( - self, user_id: str, tool_parameters: dict[str, Any] - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - # Extract parameters - script = tool_parameters.get("script", "") - host1_voice = tool_parameters.get("host1_voice") - host2_voice = tool_parameters.get("host2_voice") - - # Split the script into lines - script_lines = [line for line in script.split("\n") if line.strip()] - - # Ensure voices are provided - if not host1_voice or not host2_voice: - raise ToolParameterValidationError("Host voices are required") - - # Ensure runtime and credentials - if not self.runtime or not self.runtime.credentials: - raise ToolProviderCredentialValidationError("Tool runtime or credentials are missing") - - # Get OpenAI API key from credentials - api_key = self.runtime.credentials.get("api_key") - if not api_key: - raise ToolProviderCredentialValidationError("OpenAI API key is missing") - - # Get OpenAI base URL - openai_base_url = self.runtime.credentials.get("openai_base_url", None) - openai_base_url = str(URL(openai_base_url) / "v1") if openai_base_url else None - - # Initialize OpenAI client - client = openai.OpenAI( - api_key=api_key, - base_url=openai_base_url, - ) - - # Create a thread pool - max_workers = 5 - with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: - futures = [] - for i, line in enumerate(script_lines): - voice = host1_voice if i % 2 == 0 else host2_voice - future = executor.submit(self._generate_audio_segment, client, line, voice, i) - futures.append(future) - - # Collect results - audio_segments: list[Any] = [None] * len(script_lines) - for future in concurrent.futures.as_completed(futures): - index, audio, silence = future.result() - if isinstance(audio, str): # Error occurred - return self.create_text_message(audio) - audio_segments[index] = (audio, silence) - - # Combine audio segments in the correct order - combined_audio = AudioSegment.empty() - for i, (audio, silence) in enumerate(audio_segments): - if audio: - combined_audio += audio - if i < len(audio_segments) - 1 and silence: - combined_audio += silence - - # Export the combined audio to a WAV file in memory - buffer = io.BytesIO() - combined_audio.export(buffer, format="wav") - wav_bytes = buffer.getvalue() - - # Create a blob message with the combined audio - return [ - self.create_text_message("Audio generated successfully"), - self.create_blob_message( - blob=wav_bytes, - meta={"mime_type": "audio/x-wav"}, - save_as=self.VariableKey.AUDIO, - ), - ] diff --git a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.yaml b/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.yaml deleted file mode 100644 index d6ae98f59522c5..00000000000000 --- a/api/core/tools/provider/builtin/podcast_generator/tools/podcast_audio_generator.yaml +++ /dev/null @@ -1,95 +0,0 @@ -identity: - name: podcast_audio_generator - author: Dify - label: - en_US: Podcast Audio Generator - zh_Hans: 播客音频生成器 -description: - human: - en_US: Generate a podcast audio file from a script with two alternating voices using OpenAI's TTS service. - zh_Hans: 使用 OpenAI 的 TTS 服务，从包含两个交替声音的脚本生成播客音频文件。 - llm: This tool converts a prepared podcast script into an audio file using OpenAI's Text-to-Speech service, with two specified voices for alternating hosts. -parameters: - - name: script - type: string - required: true - label: - en_US: Podcast Script - zh_Hans: 播客脚本 - human_description: - en_US: A string containing alternating lines for two hosts, separated by newline characters. - zh_Hans: 包含两位主持人交替台词的字符串，每行用换行符分隔。 - llm_description: A string representing the script, with alternating lines for two hosts separated by newline characters. - form: llm - - name: host1_voice - type: select - required: true - label: - en_US: Host 1 Voice - zh_Hans: 主持人1 音色 - human_description: - en_US: The voice for the first host. - zh_Hans: 第一位主持人的音色。 - llm_description: The voice identifier for the first host's voice. - options: - - label: - en_US: Alloy - zh_Hans: Alloy - value: alloy - - label: - en_US: Echo - zh_Hans: Echo - value: echo - - label: - en_US: Fable - zh_Hans: Fable - value: fable - - label: - en_US: Onyx - zh_Hans: Onyx - value: onyx - - label: - en_US: Nova - zh_Hans: Nova - value: nova - - label: - en_US: Shimmer - zh_Hans: Shimmer - value: shimmer - form: form - - name: host2_voice - type: select - required: true - label: - en_US: Host 2 Voice - zh_Hans: 主持人2 音色 - human_description: - en_US: The voice for the second host. - zh_Hans: 第二位主持人的音色。 - llm_description: The voice identifier for the second host's voice. - options: - - label: - en_US: Alloy - zh_Hans: Alloy - value: alloy - - label: - en_US: Echo - zh_Hans: Echo - value: echo - - label: - en_US: Fable - zh_Hans: Fable - value: fable - - label: - en_US: Onyx - zh_Hans: Onyx - value: onyx - - label: - en_US: Nova - zh_Hans: Nova - value: nova - - label: - en_US: Shimmer - zh_Hans: Shimmer - value: shimmer - form: form diff --git a/api/core/tools/provider/builtin/pubmed/_assets/icon.svg b/api/core/tools/provider/builtin/pubmed/_assets/icon.svg deleted file mode 100644 index 6d6ff593f0c999..00000000000000 --- a/api/core/tools/provider/builtin/pubmed/_assets/icon.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/pubmed/pubmed.py b/api/core/tools/provider/builtin/pubmed/pubmed.py deleted file mode 100644 index ea3a477c30178d..00000000000000 --- a/api/core/tools/provider/builtin/pubmed/pubmed.py +++ /dev/null @@ -1,20 +0,0 @@ -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.pubmed.tools.pubmed_search import PubMedSearchTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class PubMedProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict) -> None: - try: - PubMedSearchTool().fork_tool_runtime( - runtime={ - "credentials": credentials, - } - ).invoke( - user_id="", - tool_parameters={ - "query": "John Doe", - }, - ) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/pubmed/pubmed.yaml b/api/core/tools/provider/builtin/pubmed/pubmed.yaml deleted file mode 100644 index 5f8303147c397b..00000000000000 --- a/api/core/tools/provider/builtin/pubmed/pubmed.yaml +++ /dev/null @@ -1,13 +0,0 @@ -identity: - author: Pink Banana - name: pubmed - label: - en_US: PubMed - zh_Hans: PubMed - description: - en_US: A search engine for biomedical literature. - zh_Hans: 一款生物医学文献搜索引擎。 - icon: icon.svg - tags: - - medical - - search diff --git a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py b/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py deleted file mode 100644 index 3a4f374ea0b0bc..00000000000000 --- a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py +++ /dev/null @@ -1,191 +0,0 @@ -import json -import time -import urllib.error -import urllib.parse -import urllib.request -from typing import Any - -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class PubMedAPIWrapper(BaseModel): - """ - Wrapper around PubMed API. - - This wrapper will use the PubMed API to conduct searches and fetch - document summaries. By default, it will return the document summaries - of the top-k results of an input search. - - Parameters: - top_k_results: number of the top-scored document used for the PubMed tool - load_max_docs: a limit to the number of loaded documents - load_all_available_meta: - if True: the `metadata` of the loaded Documents gets all available meta info - (see https://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.ESearch) - if False: the `metadata` gets only the most informative fields. - """ - - base_url_esearch: str = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?" - base_url_efetch: str = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?" - max_retry: int = 5 - sleep_time: float = 0.2 - - # Default values for the parameters - top_k_results: int = 3 - load_max_docs: int = 25 - ARXIV_MAX_QUERY_LENGTH: int = 300 - doc_content_chars_max: int = 2000 - load_all_available_meta: bool = False - email: str = "your_email@example.com" - - def run(self, query: str) -> str: - """ - Run PubMed search and get the article meta information. - See https://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.ESearch - It uses only the most informative fields of article meta information. - """ - - try: - # Retrieve the top-k results for the query - docs = [ - f"Published: {result['pub_date']}\nTitle: {result['title']}\nSummary: {result['summary']}" - for result in self.load(query[: self.ARXIV_MAX_QUERY_LENGTH]) - ] - - # Join the results and limit the character count - return "\n\n".join(docs)[: self.doc_content_chars_max] if docs else "No good PubMed Result was found" - except Exception as ex: - return f"PubMed exception: {ex}" - - def load(self, query: str) -> list[dict]: - """ - Search PubMed for documents matching the query. - Return a list of dictionaries containing the document metadata. - """ - - url = ( - self.base_url_esearch - + "db=pubmed&term=" - + str({urllib.parse.quote(query)}) - + f"&retmode=json&retmax={self.top_k_results}&usehistory=y" - ) - result = urllib.request.urlopen(url) - text = result.read().decode("utf-8") - json_text = json.loads(text) - - articles = [] - webenv = json_text["esearchresult"]["webenv"] - for uid in json_text["esearchresult"]["idlist"]: - article = self.retrieve_article(uid, webenv) - articles.append(article) - - # Convert the list of articles to a JSON string - return articles - - def retrieve_article(self, uid: str, webenv: str) -> dict: - url = self.base_url_efetch + "db=pubmed&retmode=xml&id=" + uid + "&webenv=" + webenv - - retry = 0 - while True: - try: - result = urllib.request.urlopen(url) - break - except urllib.error.HTTPError as e: - if e.code == 429 and retry < self.max_retry: - # Too Many Requests error - # wait for an exponentially increasing amount of time - print(f"Too Many Requests, waiting for {self.sleep_time:.2f} seconds...") - time.sleep(self.sleep_time) - self.sleep_time *= 2 - retry += 1 - else: - raise e - - xml_text = result.read().decode("utf-8") - - # Get title - title = "" - if "" in xml_text and "" in xml_text: - start_tag = "" - end_tag = "" - title = xml_text[xml_text.index(start_tag) + len(start_tag) : xml_text.index(end_tag)] - - # Get abstract - abstract = "" - if "" in xml_text and "" in xml_text: - start_tag = "" - end_tag = "" - abstract = xml_text[xml_text.index(start_tag) + len(start_tag) : xml_text.index(end_tag)] - - # Get publication date - pub_date = "" - if "" in xml_text and "" in xml_text: - start_tag = "" - end_tag = "" - pub_date = xml_text[xml_text.index(start_tag) + len(start_tag) : xml_text.index(end_tag)] - - # Return article as dictionary - article = { - "uid": uid, - "title": title, - "summary": abstract, - "pub_date": pub_date, - } - return article - - -class PubmedQueryRun(BaseModel): - """Tool that searches the PubMed API.""" - - name: str = "PubMed" - description: str = ( - "A wrapper around PubMed.org " - "Useful for when you need to answer questions about Physics, Mathematics, " - "Computer Science, Quantitative Biology, Quantitative Finance, Statistics, " - "Electrical Engineering, and Economics " - "from scientific articles on PubMed.org. " - "Input should be a search query." - ) - api_wrapper: PubMedAPIWrapper = Field(default_factory=PubMedAPIWrapper) - - def _run( - self, - query: str, - ) -> str: - """Use the Arxiv tool.""" - return self.api_wrapper.run(query) - - -class PubMedInput(BaseModel): - query: str = Field(..., description="Search query.") - - -class PubMedSearchTool(BuiltinTool): - """ - Tool for performing a search using PubMed search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invoke the PubMed search tool. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool invocation. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation. - """ - query = tool_parameters.get("query", "") - - if not query: - return self.create_text_message("Please input query") - - tool = PubmedQueryRun(args_schema=PubMedInput) - - result = tool._run(query) - - return self.create_text_message(self.summary(user_id=user_id, content=result)) diff --git a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.yaml b/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.yaml deleted file mode 100644 index 77ab809fbc3e05..00000000000000 --- a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: pubmed_search - author: Pink Banana - label: - en_US: PubMed Search - zh_Hans: PubMed 搜索 -description: - human: - en_US: PubMed® comprises more than 35 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full text content from PubMed Central and publisher web sites. - zh_Hans: PubMed® 包含来自 MEDLINE、生命科学期刊和在线书籍的超过 3500 万篇生物医学文献引用。引用可能包括来自 PubMed Central 和出版商网站的全文内容链接。 - llm: Perform searches on PubMed and get results. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - human_description: - en_US: The search query. - zh_Hans: 搜索查询语句。 - llm_description: Key words for searching - form: llm diff --git a/api/core/tools/provider/builtin/qrcode/_assets/icon.svg b/api/core/tools/provider/builtin/qrcode/_assets/icon.svg deleted file mode 100644 index 979bdda4558256..00000000000000 --- a/api/core/tools/provider/builtin/qrcode/_assets/icon.svg +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/qrcode/qrcode.py b/api/core/tools/provider/builtin/qrcode/qrcode.py deleted file mode 100644 index 8466b9a26b42b6..00000000000000 --- a/api/core/tools/provider/builtin/qrcode/qrcode.py +++ /dev/null @@ -1,13 +0,0 @@ -from typing import Any - -from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.qrcode.tools.qrcode_generator import QRCodeGeneratorTool -from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController - - -class QRCodeProvider(BuiltinToolProviderController): - def _validate_credentials(self, credentials: dict[str, Any]) -> None: - try: - QRCodeGeneratorTool().invoke(user_id="", tool_parameters={"content": "Dify 123 😊"}) - except Exception as e: - raise ToolProviderCredentialValidationError(str(e)) diff --git a/api/core/tools/provider/builtin/qrcode/qrcode.yaml b/api/core/tools/provider/builtin/qrcode/qrcode.yaml deleted file mode 100644 index 82e2a06e15cc18..00000000000000 --- a/api/core/tools/provider/builtin/qrcode/qrcode.yaml +++ /dev/null @@ -1,14 +0,0 @@ -identity: - author: Bowen Liang - name: qrcode - label: - en_US: QRCode - zh_Hans: 二维码工具 - pt_BR: QRCode - description: - en_US: A tool for generating QR code (quick-response code) image. - zh_Hans: 一个二维码工具 - pt_BR: A tool for generating QR code (quick-response code) image. - icon: icon.svg - tags: - - utilities diff --git a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py b/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py deleted file mode 100644 index 4a47c4211f4fd4..00000000000000 --- a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py +++ /dev/null @@ -1,70 +0,0 @@ -import io -import logging -from typing import Any, Union - -from qrcode.constants import ERROR_CORRECT_H, ERROR_CORRECT_L, ERROR_CORRECT_M, ERROR_CORRECT_Q # type: ignore -from qrcode.image.base import BaseImage # type: ignore -from qrcode.image.pure import PyPNGImage # type: ignore -from qrcode.main import QRCode # type: ignore - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class QRCodeGeneratorTool(BuiltinTool): - error_correction_levels: dict[str, int] = { - "L": ERROR_CORRECT_L, # <=7% - "M": ERROR_CORRECT_M, # <=15% - "Q": ERROR_CORRECT_Q, # <=25% - "H": ERROR_CORRECT_H, # <=30% - } - - def _invoke( - self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: - """ - invoke tools - """ - # get text content - content = tool_parameters.get("content", "") - if not content: - return self.create_text_message("Invalid parameter content") - - # get border size - border = tool_parameters.get("border", 0) - if border < 0 or border > 100: - return self.create_text_message("Invalid parameter border") - - # get error_correction - error_correction = tool_parameters.get("error_correction", "") - if error_correction not in self.error_correction_levels: - return self.create_text_message("Invalid parameter error_correction") - - try: - image = self._generate_qrcode(content, border, error_correction) - image_bytes = self._image_to_byte_array(image) - return self.create_blob_message( - blob=image_bytes, meta={"mime_type": "image/png"}, save_as=self.VariableKey.IMAGE.value - ) - except Exception: - logging.exception(f"Failed to generate QR code for content: {content}") - return self.create_text_message("Failed to generate QR code") - - def _generate_qrcode(self, content: str, border: int, error_correction: str) -> BaseImage: - qr = QRCode( - image_factory=PyPNGImage, - error_correction=self.error_correction_levels.get(error_correction), - border=border, - ) - qr.add_data(data=content) - qr.make(fit=True) - img = qr.make_image() - return img - - @staticmethod - def _image_to_byte_array(image: BaseImage) -> bytes: - byte_stream = io.BytesIO() - image.save(byte_stream) - return byte_stream.getvalue() diff --git a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.yaml b/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.yaml deleted file mode 100644 index 8c8b8c449ad513..00000000000000 --- a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.yaml +++ /dev/null @@ -1,76 +0,0 @@ -identity: - name: qrcode_generator - author: Bowen Liang - label: - en_US: Generate QR Code - zh_Hans: 生成二维码 - pt_BR: Generate QR Code -description: - human: - en_US: A tool for generating QR code image - zh_Hans: 一个用于生成二维码的工具 - pt_BR: A tool for generating QR code image - llm: A tool for generating QR code image -parameters: - - name: content - type: string - required: true - label: - en_US: content text for QR code - zh_Hans: 二维码文本内容 - pt_BR: content text for QR code - human_description: - en_US: content text for QR code - zh_Hans: 二维码文本内容 - pt_BR: 二维码文本内容 - form: llm - - name: error_correction - type: select - required: true - default: M - label: - en_US: Error Correction - zh_Hans: 容错等级 - pt_BR: Error Correction - human_description: - en_US: Error Correction in L, M, Q or H, from low to high, the bigger size of generated QR code with the better error correction effect - zh_Hans: 容错等级，可设置为低、中、偏高或高，从低到高，生成的二维码越大且容错效果越好 - pt_BR: Error Correction in L, M, Q or H, from low to high, the bigger size of generated QR code with the better error correction effect - options: - - value: L - label: - en_US: Low - zh_Hans: 低 - pt_BR: Low - - value: M - label: - en_US: Medium - zh_Hans: 中 - pt_BR: Medium - - value: Q - label: - en_US: Quartile - zh_Hans: 偏高 - pt_BR: Quartile - - value: H - label: - en_US: High - zh_Hans: 高 - pt_BR: High - form: form - - name: border - type: number - required: true - default: 2 - min: 0 - max: 100 - label: - en_US: border size - zh_Hans: 边框粗细 - pt_BR: border size - human_description: - en_US: border size（default to 2） - zh_Hans: 边框粗细的格数（默认为2） - pt_BR: border size（default to 2） - llm: border size, default to 2 - form: form diff --git a/api/core/tools/provider/builtin/rapidapi/_assets/rapidapi.png b/api/core/tools/provider/builtin/rapidapi/_assets/rapidapi.png deleted file mode 100644 index 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