v1.0-ga

Author: Manuel Rodriguez

.gitignore

@@ -1,22 +1,20 @@
 ai_sdk_vector_store/
 ai_sdk_sample_data/
-node_modules/
 unstructured_*/
+node_modules/
 __pycache__/
 embeddings/
-uploads/
 reports/
+uploads/
+.vscode/
 tests/
 logs/
 venv/
-env/
-.vscode/
 google_service_account.json
-chatbot_config.env
 package-lock.json
-sdk_config.env
 .DS_Store
 *.pem
 *.crt
 *.key
 *.bak
+*.env

.hadolint.yaml

@@ -2,7 +2,7 @@
 
 # Denodo AI SDK
 
-Denodo AI SDK helps you quickly build AI chatbots and agents that answer questions using your enterprise data, combining search + generative AI for accurate, context-aware results.
+Denodo AI SDK helps you quickly build AI chatbots and agents that answer questions using your enterprise data, combining similarity search + LLMs for accurate, context-aware results.
 
 It connects to the Denodo Platform, works with popular LLMs and vector stores, and ships with a ready-to-run sample chatbot and simple APIs to get started fast.
 

Dockerfile

@@ -1,3 +1,23 @@
+version 1.0 - 20260220
+------------------------
+
+- Added enhancement to pre-fill AI SDK/Chatbot LLM settings in chatbot UI modal
+- Integrated sample data generation errors in getMetadata endpoint output
+- Enhanced vectorization endpoints access control to only allow specified users to insert/delete data in the vector store
+- Improved migration script in run.py --migrate to account for duplicates/new/deprecated variables
+
+version 1.0-beta - 20260212
+------------------------
+
+- Changed default value of allow_external_associations to false in answerQuestion endpoint
+- Made ambiguity detection optional in the answerQuestion endpoints with check_ambiguity parameter
+- Updated default LLM models in sdk_config.env.example and chatbot_config.env.example
+- Fixed execution result pagination not resetting between different tool calls in chatbot UI
+- Included tool output in chatbot UI
+- Added support for new vector functions in VQL generation prompts
+- Included truncateVectors parameter in execute_vql
+- Improved Knowledge Base Manager to handle unstructured data in the Chatbot UI
+
 version 0.13 - 20260122
 ------------------------
 

README.md

@@ -422,7 +422,6 @@ def prepare_html(html_content, logo_data_uri=None):
 
     return str(body)
 
-
 def build_styled_html(html_content: str, color_palette: dict, title: str) -> str:
     """
     Build a complete styled HTML document with Denodo branding and color palette.

RELEASE_NOTES.txt

@@ -75,7 +75,6 @@ def filter_tool_calls_report_agent(tool_calls, default_rows=10):
 
     return filtered_calls
 
-
 def filter_tool_calls_visualization(tool_calls, default_rows=10):
     """
     Filter visualization tool calls (database_agent with generate_graph action).

api/deepquery/reporting_agent/utils.py

@@ -14,32 +14,18 @@
 import traceback
 
 from pydantic import BaseModel, Field
-from typing import Dict, Annotated, List
+from typing import Dict, List
 
 from fastapi.responses import JSONResponse
 from fastapi.encoders import jsonable_encoder
 from fastapi import APIRouter, Depends, HTTPException, Query
-from fastapi.security import HTTPBasic, HTTPBasicCredentials, HTTPAuthorizationCredentials, HTTPBearer
 
-from api.utils.sdk_utils import timing_context, add_tokens, generate_session_id, handle_endpoint_error
+from api.utils.sdk_utils import timing_context, add_tokens, generate_session_id, handle_endpoint_error, authenticate
 from api.utils import sdk_ai_tools
 from api.utils import sdk_answer_question
 from api.utils import state_manager
 
 router = APIRouter()
-security_basic = HTTPBasic(auto_error = False)
-security_bearer = HTTPBearer(auto_error = False)
-
-def authenticate(
-        basic_credentials: Annotated[HTTPBasicCredentials, Depends(security_basic)],
-        bearer_credentials: Annotated[HTTPAuthorizationCredentials, Depends(security_bearer)]
-        ):
-    if bearer_credentials is not None:
-        return bearer_credentials.credentials
-    elif basic_credentials is not None:
-        return (basic_credentials.username, basic_credentials.password)
-    else:
-        raise HTTPException(status_code=401, detail="Authentication required")
 
 class answerDataQuestionRequest(BaseModel):
     question: str
@@ -64,7 +50,7 @@ class answerDataQuestionRequest(BaseModel):
         description="A comma-separated list of tags to reduce the scope of the question to. If empty, all tags in the vector DB the user has permissions to will be considered."
     )
     allow_external_associations: bool = Field(
-        default = True,
+        default = False,
         description="If False, views from associations will NOT be considered if they don't belong to the VDBs/Tags specified in vdp_database_names and vdp_tag_names. If no VDBs/Tags specified, all views from associations will be considered."
     )
     use_views: str = Field(
@@ -95,6 +81,10 @@ class answerDataQuestionRequest(BaseModel):
     )
     disclaimer: bool = True
     verbose: bool = True
+    check_ambiguity: bool = Field(
+        default = bool(int(os.getenv('CHECK_AMBIGUITY', '1'))),
+        description="If false, skip ambiguity detection."
+    )
     vql_execute_rows_limit: int = int(os.getenv('VQL_EXECUTE_ROWS_LIMIT', '100'))
     llm_response_rows_limit: int = int(os.getenv('LLM_RESPONSE_ROWS_LIMIT', '15'))
 
@@ -246,7 +236,8 @@ async def process_data_question(request_data: answerDataQuestionRequest, auth: s
             mode="data",
             custom_instructions=request_data.custom_instructions,
             session_id=session_id,
-            column_description_char_limit=request_data.vector_search_column_description_char_limit
+            column_description_char_limit=request_data.vector_search_column_description_char_limit,
+            check_ambiguity=request_data.check_ambiguity
         )
 
     ambiguity_message = sdk_answer_question.build_ambiguity_message(category_response)

api/deepquery/utils.py

@@ -14,32 +14,18 @@
 import traceback
 
 from pydantic import BaseModel, Field
-from typing import Dict, Annotated, List
+from typing import Dict, List
 
 from fastapi.responses import JSONResponse
 from fastapi.encoders import jsonable_encoder
 from fastapi import APIRouter, Depends, HTTPException, Query
-from fastapi.security import HTTPBasic, HTTPBasicCredentials, HTTPAuthorizationCredentials, HTTPBearer
 
-from api.utils.sdk_utils import timing_context, handle_endpoint_error, generate_session_id
+from api.utils.sdk_utils import timing_context, handle_endpoint_error, generate_session_id, authenticate
 from api.utils import sdk_ai_tools
 from api.utils import sdk_answer_question
 from api.utils import state_manager
 
 router = APIRouter()
-security_basic = HTTPBasic(auto_error = False)
-security_bearer = HTTPBearer(auto_error = False)
-
-def authenticate(
-        basic_credentials: Annotated[HTTPBasicCredentials, Depends(security_basic)],
-        bearer_credentials: Annotated[HTTPAuthorizationCredentials, Depends(security_bearer)]
-        ):
-    if bearer_credentials is not None:
-        return bearer_credentials.credentials
-    elif basic_credentials is not None:
-        return (basic_credentials.username, basic_credentials.password)
-    else:
-        raise HTTPException(status_code=401, detail="Authentication required")
 
 class answerMetadataQuestionRequest(BaseModel):
     question: str
@@ -64,7 +50,7 @@ class answerMetadataQuestionRequest(BaseModel):
         description="A comma-separated list of tags to reduce the scope of the question to. If empty, all tags in the vector DB the user has permissions to will be considered."
     )
     allow_external_associations: bool = Field(
-        default = True,
+        default = False,
         description="If False, views from associations will NOT be considered if they don't belong to the VDBs/Tags specified in vdp_database_names and vdp_tag_names. If no VDBs/Tags specified, all views from associations will be considered."
     )
     use_views: str = Field(

api/endpoints/answerDataQuestion.py

@@ -53,7 +53,7 @@ class answerQuestionRequest(BaseModel):
         description="A comma-separated list of tags to reduce the scope of the question to. If empty, all tags in the vector DB the user has permissions to will be considered."
     )
     allow_external_associations: bool = Field(
-        default = True,
+        default = False,
         description="If False, views from associations will NOT be considered if they don't belong to the VDBs/Tags specified in vdp_database_names and vdp_tag_names. If no VDBs/Tags specified, all views from associations will be considered."
     )
     use_views: str = Field(
@@ -85,6 +85,10 @@ class answerQuestionRequest(BaseModel):
     mode: Literal["default", "data", "metadata"] = Field(default = "default")
     disclaimer: bool = True
     verbose: bool = True
+    check_ambiguity: bool = Field(
+        default = bool(int(os.getenv('CHECK_AMBIGUITY', '1'))),
+        description="If false, skip ambiguity detection."
+    )
     vql_execute_rows_limit: int = int(os.getenv('VQL_EXECUTE_ROWS_LIMIT', '100'))
     llm_response_rows_limit: int = int(os.getenv('LLM_RESPONSE_ROWS_LIMIT', '15'))
 
@@ -251,7 +255,8 @@ async def process_question(request_data: answerQuestionRequest, auth: str):
             mode=request_data.mode,
             custom_instructions=request_data.custom_instructions,
             session_id=session_id,
-            column_description_char_limit=request_data.vector_search_column_description_char_limit
+            column_description_char_limit=request_data.vector_search_column_description_char_limit,
+            check_ambiguity=request_data.check_ambiguity
         )
 
     ambiguity_message = sdk_answer_question.build_ambiguity_message(category_response)