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refactor: reorganize Plane AI documentation into structured sub-pages #273

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refactor: reorganize Plane AI documentation into structured sub-pages #273

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9f60137
refactor: reorganize Plane AI documentation into structured sub-pages
akhil-vamshi-konam May 11, 2026
23671a1
fix: formatting of markdown tables for better readability
akhil-vamshi-konam May 11, 2026
9cf024d
update: change default maximum token limit for custom LLM from 128000…
akhil-vamshi-konam May 20, 2026
643934f
fix: format docs
akhil-vamshi-konam May 20, 2026
279d582
update: change minimum model parameter requirement from 100 billion t…
akhil-vamshi-konam May 22, 2026
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8 changes: 6 additions & 2 deletions docs/.vitepress/config.mts
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Original file line number Diff line number Diff line change
Expand Up @@ -309,9 +309,13 @@ export default withMermaid(
{ text: "OpenSearch for search", link: "/self-hosting/govern/advanced-search" },
{
text: "Plane AI",
link: "/self-hosting/govern/plane-ai",
collapsed: true,
items: [{ text: "AWS OpenSearch embedding", link: "/self-hosting/govern/aws-opensearch-embedding" }],
items: [
{ text: "Get started", link: "/self-hosting/govern/plane-ai/getting-started" },
{ text: "Custom LLM models", link: "/self-hosting/govern/plane-ai/custom-llm" },
{ text: "Semantic search", link: "/self-hosting/govern/plane-ai/semantic-search" },
{ text: "AWS OpenSearch embedding", link: "/self-hosting/govern/aws-opensearch-embedding" },
],
},
{ text: "External secrets", link: "/self-hosting/govern/external-secrets" },
{ text: "External reverse proxy", link: "/self-hosting/govern/reverse-proxy" },
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2 changes: 1 addition & 1 deletion docs/self-hosting/govern/aws-opensearch-embedding.md
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Expand Up @@ -232,4 +232,4 @@ EMBEDDING_MODEL=cohere/embed-v4.0
OPENSEARCH_EMBEDDING_DIMENSION=1536
```

Restart Plane and complete the remaining steps in [Enable Plane AI](/self-hosting/govern/plane-ai#configure-an-embedding-model).
Restart Plane and complete the remaining steps in [Set up semantic search](/self-hosting/govern/plane-ai/semantic-search).
64 changes: 32 additions & 32 deletions docs/self-hosting/govern/environment-variables.md
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Expand Up @@ -237,7 +237,7 @@ These settings are required for semantic search and Plane AI Chat. Configure one
| **BR_AWS_SECRET_ACCESS_KEY** | AWS secret access key for Bedrock Titan embedding | Conditional |
| **BR_AWS_REGION** | AWS region for Bedrock Titan embedding | Conditional |

For setup instructions, supported models, and IAM permissions, see [Enable Plane AI](/self-hosting/govern/plane-ai).
For setup instructions, supported models, and IAM permissions, see [Plane AI](/self-hosting/govern/plane-ai/getting-started).

### API settings

Expand Down Expand Up @@ -293,37 +293,37 @@ For setup instructions, supported models, and IAM permissions, see [Enable Plane

### Plane Intelligence (PI) settings

| Variable | Description | Default Value |
| --------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
| **OPENAI_API_KEY** | API key for OpenAI services used by Plane Intelligence. | |
| **OPENAI_BASE_URL** | Custom base URL for OpenAI-compatible API endpoints. | |
| **CLAUDE_API_KEY** | API key for Anthropic Claude services used by Plane Intelligence. | |
| **CLAUDE_BASE_URL** | Custom base URL for Claude API endpoints. | |
| **GROQ_API_KEY** | API key for Groq services used by Plane Intelligence. | |
| **GROQ_BASE_URL** | Custom base URL for Groq API endpoints. | |
| **COHERE_API_KEY** | API key for Cohere services used by Plane Intelligence. | |
| **COHERE_BASE_URL** | Custom base URL for Cohere API endpoints. | |
| **CUSTOM_LLM_ENABLED** | Enable a custom OpenAI-compatible LLM provider. Set to `true` to enable. | false |
| **CUSTOM_LLM_MODEL_KEY** | Model key identifier for the custom LLM. | gpt-oss-120b |
| **CUSTOM_LLM_BASE_URL** | Base URL for the custom LLM API endpoint. | |
| **CUSTOM_LLM_API_KEY** | API key for the custom LLM provider. | |
| **CUSTOM_LLM_NAME** | Display name for the custom LLM in the Plane UI. | GPT-OSS-120B |
| **CUSTOM_LLM_DESCRIPTION** | Description of the custom LLM shown in the Plane UI. | A self-hosted OpenAI-compatible model |
| **CUSTOM_LLM_MAX_TOKENS** | Maximum token limit for the custom LLM. | 128000 |
| **EMBEDDING_MODEL** | Model key for generating embeddings (e.g. `cohere/embed-v4.0`). Required for PI API startup when Plane AI is enabled. | |
| **OPENSEARCH_ML_MODEL_ID** | OpenSearch ML model ID for the deployed embedding model. | |
| **OPENSEARCH_EMBEDDING_DIMENSION** | Vector dimension for `knn_vector` fields; must match the embedding model and stay aligned with the API service. See [Plane AI](/self-hosting/govern/plane-ai). | 1536 |
| **BR_AWS_ACCESS_KEY_ID** | AWS access key for Amazon Bedrock integration. | |
| **BR_AWS_SECRET_ACCESS_KEY** | AWS secret key for Amazon Bedrock integration. | |
| **BR_AWS_SESSION_TOKEN** | AWS session token for Amazon Bedrock integration (for temporary credentials). | |
| **FASTAPI_APP_WORKERS** | Number of FastAPI workers for the PI service. | 1 |
| **PLANE_OAUTH_STATE_EXPIRY_SECONDS** | Expiry time (in seconds) for PI OAuth state tokens. | 82800 |
| **CELERY_VECTOR_SYNC_ENABLED** | Enable periodic vector synchronization for AI-powered search. | 0 |
| **CELERY_VECTOR_SYNC_INTERVAL** | Interval (in seconds) for vector synchronization. | 3 |
| **CELERY_WORKSPACE_PLAN_SYNC_ENABLED** | Enable periodic workspace plan synchronization. | 0 |
| **CELERY_WORKSPACE_PLAN_SYNC_INTERVAL** | Interval (in seconds) for workspace plan synchronization. | 86400 |
| **CELERY_DOCS_SYNC_ENABLED** | Enable periodic documents synchronization for AI indexing. | 0 |
| **CELERY_DOCS_SYNC_INTERVAL** | Interval (in seconds) for documents synchronization. | 86400 |
| Variable | Description | Default Value |
| --------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
| **OPENAI_API_KEY** | API key for OpenAI services used by Plane Intelligence. | |
| **OPENAI_BASE_URL** | Custom base URL for OpenAI-compatible API endpoints. | |
| **CLAUDE_API_KEY** | API key for Anthropic Claude services used by Plane Intelligence. | |
| **CLAUDE_BASE_URL** | Custom base URL for Claude API endpoints. | |
| **GROQ_API_KEY** | API key for Groq services used by Plane Intelligence. | |
| **GROQ_BASE_URL** | Custom base URL for Groq API endpoints. | |
| **COHERE_API_KEY** | API key for Cohere services used by Plane Intelligence. | |
| **COHERE_BASE_URL** | Custom base URL for Cohere API endpoints. | |
| **CUSTOM_LLM_ENABLED** | Enable a custom OpenAI-compatible LLM provider. Set to `true` to enable. | false |
| **CUSTOM_LLM_MODEL_KEY** | Model key identifier for the custom LLM. | gpt-oss-120b |
| **CUSTOM_LLM_BASE_URL** | Base URL for the custom LLM API endpoint. | |
| **CUSTOM_LLM_API_KEY** | API key for the custom LLM provider. | |
| **CUSTOM_LLM_NAME** | Display name for the custom LLM in the Plane UI. | GPT-OSS-120B |
| **CUSTOM_LLM_DESCRIPTION** | Description of the custom LLM shown in the Plane UI. | A self-hosted OpenAI-compatible model |
| **CUSTOM_LLM_MAX_TOKENS** | Maximum token limit for the custom LLM. | 128000 |
| **EMBEDDING_MODEL** | Model key for generating embeddings (e.g. `cohere/embed-v4.0`). Required for PI API startup when Plane AI is enabled. | |
| **OPENSEARCH_ML_MODEL_ID** | OpenSearch ML model ID for the deployed embedding model. | |
| **OPENSEARCH_EMBEDDING_DIMENSION** | Vector dimension for `knn_vector` fields; must match the embedding model and stay aligned with the API service. See [Semantic search](/self-hosting/govern/plane-ai/semantic-search). | 1536 |
| **BR_AWS_ACCESS_KEY_ID** | AWS access key for Amazon Bedrock integration. | |
| **BR_AWS_SECRET_ACCESS_KEY** | AWS secret key for Amazon Bedrock integration. | |
| **BR_AWS_SESSION_TOKEN** | AWS session token for Amazon Bedrock integration (for temporary credentials). | |
| **FASTAPI_APP_WORKERS** | Number of FastAPI workers for the PI service. | 1 |
| **PLANE_OAUTH_STATE_EXPIRY_SECONDS** | Expiry time (in seconds) for PI OAuth state tokens. | 82800 |
| **CELERY_VECTOR_SYNC_ENABLED** | Enable periodic vector synchronization for AI-powered search. | 0 |
| **CELERY_VECTOR_SYNC_INTERVAL** | Interval (in seconds) for vector synchronization. | 3 |
| **CELERY_WORKSPACE_PLAN_SYNC_ENABLED** | Enable periodic workspace plan synchronization. | 0 |
| **CELERY_WORKSPACE_PLAN_SYNC_INTERVAL** | Interval (in seconds) for workspace plan synchronization. | 86400 |
| **CELERY_DOCS_SYNC_ENABLED** | Enable periodic documents synchronization for AI indexing. | 0 |
| **CELERY_DOCS_SYNC_INTERVAL** | Interval (in seconds) for documents synchronization. | 86400 |

::: details Community Edition

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