M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

[**mimir v1.0.0**](../README.md) *** [mimir](../README.md) / api/chat-api # api/chat-api ## Description RAG-enhanced chat API with semantic search Provides OpenAI-compatible chat completion endpoints with automatic Graph-RAG semantic search integration. Queries are enriched with relevant context from the Neo4j graph database before being sent to the LLM. **Features:** - OpenAI-compatible `/v1/chat/completions` endpoint - Automatic semantic search for relevant context - Multi-provider LLM support (OpenAI, Anthropic, Ollama, etc.) - Streaming and non-streaming responses - Context injection from graph database **Endpoints:** - `POST /v1/chat/completions` - Chat completion with RAG (OpenAI-compatible) - `POST /v1/embeddings` - Generate embeddings (OpenAI-compatible) - `GET /v1/models` - List available LLM models (OpenAI-compatible) - `GET /models` - List available LLM models (alias) - `GET /api/preambles` - List available agent preambles - `GET /api/preambles/:name` - Get specific preamble - `GET /api/tools` - List available MCP tools - `GET /api/models` - List models (legacy endpoint) ## Example ```typescript // Chat with RAG context (OpenAI-compatible) fetch('/v1/chat/completions', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ model: 'gpt-4', messages: [{ role: 'user', content: 'What did we decide about auth?' }], stream: false }) }); ``` ## Since 1.0.0 ## Functions ### createChatRouter() > **createChatRouter**(`graphManager`): `Router` Defined in: src/api/chat-api.ts:187 Create chat API router (OpenAI-compatible) #### Parameters ##### graphManager [`IGraphManager`](../types/IGraphManager.md#igraphmanager) #### Returns `Router`