| import logging |
| import os |
| import secrets |
| from typing import Any, Dict, List, Optional |
|
|
| from dotenv import load_dotenv |
| from fastapi import Depends, FastAPI, HTTPException |
| from fastapi.responses import JSONResponse, RedirectResponse |
| from fastapi.security import APIKeyHeader |
| from pydantic import BaseModel, Field |
|
|
| from mem0 import Memory |
|
|
| logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") |
|
|
| |
| load_dotenv() |
|
|
| ADMIN_API_KEY = os.environ.get("ADMIN_API_KEY", "") |
|
|
| MIN_KEY_LENGTH = 16 |
|
|
| if not ADMIN_API_KEY: |
| logging.warning( |
| "ADMIN_API_KEY not set - API endpoints are UNSECURED! " |
| "Set ADMIN_API_KEY environment variable for production use." |
| ) |
| else: |
| if len(ADMIN_API_KEY) < MIN_KEY_LENGTH: |
| logging.warning( |
| "ADMIN_API_KEY is shorter than %d characters - consider using a longer key for production.", |
| MIN_KEY_LENGTH, |
| ) |
| logging.info("API key authentication enabled") |
|
|
| POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "postgres") |
| POSTGRES_PORT = os.environ.get("POSTGRES_PORT", "5432") |
| POSTGRES_DB = os.environ.get("POSTGRES_DB", "postgres") |
| POSTGRES_USER = os.environ.get("POSTGRES_USER", "postgres") |
| POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "postgres") |
| POSTGRES_COLLECTION_NAME = os.environ.get("POSTGRES_COLLECTION_NAME", "memories") |
|
|
| NEO4J_URI = os.environ.get("NEO4J_URI", "bolt://neo4j:7687") |
| NEO4J_USERNAME = os.environ.get("NEO4J_USERNAME", "neo4j") |
| NEO4J_PASSWORD = os.environ.get("NEO4J_PASSWORD", "mem0graph") |
|
|
| MEMGRAPH_URI = os.environ.get("MEMGRAPH_URI", "bolt://localhost:7687") |
| MEMGRAPH_USERNAME = os.environ.get("MEMGRAPH_USERNAME", "memgraph") |
| MEMGRAPH_PASSWORD = os.environ.get("MEMGRAPH_PASSWORD", "mem0graph") |
|
|
| OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") |
| HISTORY_DB_PATH = os.environ.get("HISTORY_DB_PATH", "/app/history/history.db") |
|
|
| DEFAULT_CONFIG = { |
| "version": "v1.1", |
| "vector_store": { |
| "provider": "pgvector", |
| "config": { |
| "host": POSTGRES_HOST, |
| "port": int(POSTGRES_PORT), |
| "dbname": POSTGRES_DB, |
| "user": POSTGRES_USER, |
| "password": POSTGRES_PASSWORD, |
| "collection_name": POSTGRES_COLLECTION_NAME, |
| }, |
| }, |
| "graph_store": { |
| "provider": "neo4j", |
| "config": {"url": NEO4J_URI, "username": NEO4J_USERNAME, "password": NEO4J_PASSWORD}, |
| }, |
| "llm": {"provider": "openai", "config": {"api_key": OPENAI_API_KEY, "temperature": 0.2, "model": "gpt-4.1-nano-2025-04-14"}}, |
| "embedder": {"provider": "openai", "config": {"api_key": OPENAI_API_KEY, "model": "text-embedding-3-small"}}, |
| "history_db_path": HISTORY_DB_PATH, |
| } |
|
|
|
|
| MEMORY_INSTANCE = Memory.from_config(DEFAULT_CONFIG) |
|
|
| app = FastAPI( |
| title="Mem0 REST APIs", |
| description=( |
| "A REST API for managing and searching memories for your AI Agents and Apps.\n\n" |
| "## Authentication\n" |
| "When the ADMIN_API_KEY environment variable is set, all endpoints require " |
| "the `X-API-Key` header for authentication." |
| ), |
| version="1.0.0", |
| ) |
|
|
| api_key_header = APIKeyHeader(name="X-API-Key", auto_error=False) |
|
|
|
|
| async def verify_api_key(api_key: Optional[str] = Depends(api_key_header)): |
| """Validate the API key when ADMIN_API_KEY is configured. No-op otherwise.""" |
| if ADMIN_API_KEY: |
| if api_key is None: |
| raise HTTPException( |
| status_code=401, |
| detail="X-API-Key header is required.", |
| headers={"WWW-Authenticate": "ApiKey"}, |
| ) |
| if not secrets.compare_digest(api_key, ADMIN_API_KEY): |
| raise HTTPException( |
| status_code=401, |
| detail="Invalid API key.", |
| headers={"WWW-Authenticate": "ApiKey"}, |
| ) |
| return api_key |
|
|
|
|
| class Message(BaseModel): |
| role: str = Field(..., description="Role of the message (user or assistant).") |
| content: str = Field(..., description="Message content.") |
|
|
|
|
| class MemoryCreate(BaseModel): |
| messages: List[Message] = Field(..., description="List of messages to store.") |
| user_id: Optional[str] = None |
| agent_id: Optional[str] = None |
| run_id: Optional[str] = None |
| metadata: Optional[Dict[str, Any]] = None |
| infer: Optional[bool] = Field(None, description="Whether to extract facts from messages. Defaults to True.") |
| memory_type: Optional[str] = Field(None, description="Type of memory to store (e.g. 'core').") |
| prompt: Optional[str] = Field(None, description="Custom prompt to use for fact extraction.") |
|
|
|
|
| class MemoryUpdate(BaseModel): |
| text: str = Field(..., description="New content to update the memory with.") |
| metadata: Optional[Dict[str, Any]] = Field(None, description="Metadata to update.") |
|
|
|
|
| class SearchRequest(BaseModel): |
| query: str = Field(..., description="Search query.") |
| user_id: Optional[str] = None |
| run_id: Optional[str] = None |
| agent_id: Optional[str] = None |
| filters: Optional[Dict[str, Any]] = None |
| limit: Optional[int] = Field(None, description="Maximum number of results to return.") |
| threshold: Optional[float] = Field(None, description="Minimum similarity score for results.") |
|
|
|
|
| @app.post("/configure", summary="Configure Mem0") |
| def set_config(config: Dict[str, Any], _api_key: Optional[str] = Depends(verify_api_key)): |
| """Set memory configuration.""" |
| global MEMORY_INSTANCE |
| MEMORY_INSTANCE = Memory.from_config(config) |
| return {"message": "Configuration set successfully"} |
|
|
|
|
| @app.post("/memories", summary="Create memories") |
| def add_memory(memory_create: MemoryCreate, _api_key: Optional[str] = Depends(verify_api_key)): |
| """Store new memories.""" |
| if not any([memory_create.user_id, memory_create.agent_id, memory_create.run_id]): |
| raise HTTPException(status_code=400, detail="At least one identifier (user_id, agent_id, run_id) is required.") |
|
|
| params = {k: v for k, v in memory_create.model_dump().items() if v is not None and k != "messages"} |
| try: |
| response = MEMORY_INSTANCE.add(messages=[m.model_dump() for m in memory_create.messages], **params) |
| return JSONResponse(content=response) |
| except Exception as e: |
| logging.exception("Error in add_memory:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.get("/memories", summary="Get memories") |
| def get_all_memories( |
| user_id: Optional[str] = None, |
| run_id: Optional[str] = None, |
| agent_id: Optional[str] = None, |
| _api_key: Optional[str] = Depends(verify_api_key), |
| ): |
| """Retrieve stored memories.""" |
| if not any([user_id, run_id, agent_id]): |
| raise HTTPException(status_code=400, detail="At least one identifier is required.") |
| try: |
| params = { |
| k: v for k, v in {"user_id": user_id, "run_id": run_id, "agent_id": agent_id}.items() if v is not None |
| } |
| return MEMORY_INSTANCE.get_all(**params) |
| except Exception as e: |
| logging.exception("Error in get_all_memories:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.get("/memories/{memory_id}", summary="Get a memory") |
| def get_memory(memory_id: str, _api_key: Optional[str] = Depends(verify_api_key)): |
| """Retrieve a specific memory by ID.""" |
| try: |
| return MEMORY_INSTANCE.get(memory_id) |
| except Exception as e: |
| logging.exception("Error in get_memory:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.post("/search", summary="Search memories") |
| def search_memories(search_req: SearchRequest, _api_key: Optional[str] = Depends(verify_api_key)): |
| """Search for memories based on a query.""" |
| try: |
| params = {k: v for k, v in search_req.model_dump().items() if v is not None and k != "query"} |
| return MEMORY_INSTANCE.search(query=search_req.query, **params) |
| except Exception as e: |
| logging.exception("Error in search_memories:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.put("/memories/{memory_id}", summary="Update a memory") |
| def update_memory(memory_id: str, updated_memory: MemoryUpdate, _api_key: Optional[str] = Depends(verify_api_key)): |
| """Update an existing memory with new content. |
| |
| Args: |
| memory_id (str): ID of the memory to update |
| updated_memory (MemoryUpdate): New content and optional metadata to update the memory with |
| |
| Returns: |
| dict: Success message indicating the memory was updated |
| """ |
| try: |
| return MEMORY_INSTANCE.update(memory_id=memory_id, data=updated_memory.text, metadata=updated_memory.metadata) |
| except Exception as e: |
| logging.exception("Error in update_memory:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.get("/memories/{memory_id}/history", summary="Get memory history") |
| def memory_history(memory_id: str, _api_key: Optional[str] = Depends(verify_api_key)): |
| """Retrieve memory history.""" |
| try: |
| return MEMORY_INSTANCE.history(memory_id=memory_id) |
| except Exception as e: |
| logging.exception("Error in memory_history:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.delete("/memories/{memory_id}", summary="Delete a memory") |
| def delete_memory(memory_id: str, _api_key: Optional[str] = Depends(verify_api_key)): |
| """Delete a specific memory by ID.""" |
| try: |
| MEMORY_INSTANCE.delete(memory_id=memory_id) |
| return {"message": "Memory deleted successfully"} |
| except Exception as e: |
| logging.exception("Error in delete_memory:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.delete("/memories", summary="Delete all memories") |
| def delete_all_memories( |
| user_id: Optional[str] = None, |
| run_id: Optional[str] = None, |
| agent_id: Optional[str] = None, |
| _api_key: Optional[str] = Depends(verify_api_key), |
| ): |
| """Delete all memories for a given identifier.""" |
| if not any([user_id, run_id, agent_id]): |
| raise HTTPException(status_code=400, detail="At least one identifier is required.") |
| try: |
| params = { |
| k: v for k, v in {"user_id": user_id, "run_id": run_id, "agent_id": agent_id}.items() if v is not None |
| } |
| MEMORY_INSTANCE.delete_all(**params) |
| return {"message": "All relevant memories deleted"} |
| except Exception as e: |
| logging.exception("Error in delete_all_memories:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.post("/reset", summary="Reset all memories") |
| def reset_memory(_api_key: Optional[str] = Depends(verify_api_key)): |
| """Completely reset stored memories.""" |
| try: |
| MEMORY_INSTANCE.reset() |
| return {"message": "All memories reset"} |
| except Exception as e: |
| logging.exception("Error in reset_memory:") |
| raise HTTPException(status_code=500, detail=str(e)) |
|
|
|
|
| @app.get("/", summary="Redirect to the OpenAPI documentation", include_in_schema=False) |
| def home(): |
| """Redirect to the OpenAPI documentation.""" |
| return RedirectResponse(url="/docs") |
|
|