Files
t6_mem0/PHASE2_COMPLETE.md
Docker Config Backup 8ea9fff334 PHASE 2 COMPLETE: REST API Implementation
 Fully functional FastAPI server with comprehensive features:

🏗️ Architecture:
- Complete API design documentation
- Modular structure (models, auth, service, main)
- OpenAPI/Swagger auto-documentation

🔧 Core Features:
- Memory CRUD endpoints (POST, GET, DELETE)
- User management and statistics
- Search functionality with filtering
- Admin endpoints with proper authorization

🔐 Security & Auth:
- API key authentication (Bearer token)
- Rate limiting (100 req/min configurable)
- Input validation with Pydantic models
- Comprehensive error handling

🧪 Testing:
- Comprehensive test suite with automated server lifecycle
- Simple test suite for quick validation
- All functionality verified and working

🐛 Fixes:
- Resolved Pydantic v2 compatibility (.dict() → .model_dump())
- Fixed missing dependencies (posthog, qdrant-client, vecs, ollama)
- Fixed mem0 package version metadata issues

📊 Performance:
- Async operations for scalability
- Request timing middleware
- Proper error boundaries
- Health monitoring endpoints

🎯 Status: Phase 2 100% complete - REST API fully functional

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-31 13:57:16 +02:00

6.4 KiB

Phase 2 Complete: REST API Implementation

Overview

Phase 2 has been successfully completed with a fully functional REST API implementation for the mem0 Memory System. The API provides comprehensive CRUD operations, authentication, rate limiting, and robust error handling.

Completed Features

1. API Architecture & Design

  • Comprehensive API Design: Documented in API_DESIGN.md
  • RESTful endpoints following industry standards
  • OpenAPI/Swagger documentation auto-generated at /docs
  • Modular architecture with separate concerns (models, auth, service, main)

2. Core FastAPI Implementation

  • FastAPI server with async support
  • Pydantic models for request/response validation
  • CORS middleware for cross-origin requests
  • Request timing middleware with performance headers
  • Comprehensive logging with structured format

3. Memory Management Endpoints

  • POST /v1/memories - Add new memories
  • GET /v1/memories/search - Search memories by content
  • GET /v1/memories/{memory_id} - Get specific memory
  • DELETE /v1/memories/{memory_id} - Delete specific memory
  • GET /v1/memories/user/{user_id} - Get all user memories
  • DELETE /v1/users/{user_id}/memories - Delete all user memories

4. User Management & Statistics

  • GET /v1/users/{user_id}/stats - User memory statistics
  • User isolation - Complete data separation between users
  • Metadata tracking - Source, timestamps, and custom metadata

5. Authentication & Security

  • API Key Authentication with Bearer token format
  • Admin API keys for privileged operations
  • API key format validation (mem0_ prefix requirement)
  • Rate limiting (100 requests/minute configurable)
  • Rate limit headers in responses

6. Admin & Monitoring

  • GET /v1/metrics - API metrics (admin only)
  • GET /health - Basic health check (no auth)
  • GET /status - Detailed system status (auth required)
  • System status monitoring with service health checks

7. Error Handling & Validation

  • Comprehensive error responses with structured format
  • HTTP status codes following REST standards
  • Input validation with detailed error messages
  • Graceful error handling with proper logging

8. Testing & Quality Assurance

  • Comprehensive test suite (test_api.py)
  • Simple test suite (test_api_simple.py) for quick validation
  • Automated server lifecycle management in tests
  • All core functionality verified and working

🔧 Technical Implementation

File Structure

api/
├── __init__.py          # Package initialization
├── main.py             # FastAPI application and endpoints
├── models.py           # Pydantic models for requests/responses
├── auth.py             # Authentication and rate limiting
└── service.py          # Memory service layer
start_api.py            # Server startup script
test_api.py             # Comprehensive test suite
test_api_simple.py      # Simple test suite
API_DESIGN.md           # Complete API documentation

Key Components

Authentication System

  • Bearer token authentication with configurable API keys
  • Admin privilege system for sensitive operations
  • In-memory rate limiting with sliding window
  • Proper HTTP status codes (401, 403, 429)

Memory Service Layer

  • Abstraction over mem0 core functionality
  • Async operations for non-blocking requests
  • Error handling with custom exceptions
  • Message-to-content conversion logic

Request/Response Models

  • AddMemoryRequest: Message list with user ID and metadata
  • SearchMemoriesRequest: Query parameters with user filtering
  • StandardResponse: Consistent success response format
  • ErrorResponse: Structured error information
  • HealthResponse: System health status

Configuration

  • Environment-based configuration for API keys and limits
  • Configurable host/port settings
  • Default development keys for testing
  • Rate limiting parameters (requests/minute)

🧪 Testing Results

Simple Test Results

  • Health endpoint: Working
  • Authentication: Working
  • Memory addition: Working
  • Server lifecycle: Working

Comprehensive Test Coverage

  • Authentication and authorization
  • Memory CRUD operations
  • User management endpoints
  • Admin endpoint protection
  • Error handling and validation
  • Rate limiting functionality

🚀 API Server Usage

Starting the Server

python start_api.py

Server Information

Example API Usage

# Health check (no auth)
curl http://localhost:8080/health

# Add memory (with auth)
curl -X POST "http://localhost:8080/v1/memories" \
  -H "Authorization: Bearer mem0_dev_key_123456789" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [{"role": "user", "content": "I love Python programming"}],
    "user_id": "test_user",
    "metadata": {"source": "api_test"}
  }'

# Search memories
curl "http://localhost:8080/v1/memories/search?query=Python&user_id=test_user" \
  -H "Authorization: Bearer mem0_dev_key_123456789"

🔍 Dependencies Resolved

  • Fixed Pydantic v2 compatibility (.dict() → .model_dump())
  • Installed missing dependencies (posthog, qdrant-client, vecs, ollama)
  • Resolved mem0 package version metadata issues
  • Ensured all imports work correctly

📊 Performance & Reliability

  • Async operations for scalability
  • Connection pooling via SQLAlchemy
  • Proper error boundaries to prevent cascading failures
  • Request timing tracked and exposed via headers
  • Memory service health checks for monitoring

🔒 Security Features

  • API key-based authentication
  • Rate limiting to prevent abuse
  • Input validation and sanitization
  • CORS configuration for controlled access
  • Structured error responses (no sensitive data leakage)

📈 Current Status

Phase 2 is 100% complete and fully functional. The REST API layer provides complete access to the mem0 memory system with proper authentication, error handling, and comprehensive testing.

Ready for Phase 3

The API foundation is solid and ready for additional features like:

  • Docker containerization
  • Advanced caching mechanisms
  • Metrics collection and monitoring
  • Webhook support
  • Batch operations

Phase 2 completed: 2025-07-31 All core API functionality implemented and tested