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>
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Docker Config Backup
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API_DESIGN.md
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API_DESIGN.md
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# MEM0 REST API Design Document
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## Overview
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The Mem0 Memory System REST API provides programmatic access to memory operations, built on top of mem0 v0.1.115 with Supabase vector storage and Neo4j graph relationships.
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## Base Configuration
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- **Base URL**: `http://localhost:8080/v1`
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- **Content-Type**: `application/json`
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- **Authentication**: Bearer token (API Key)
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- **Rate Limiting**: 100 requests/minute per API key
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## API Architecture
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### Core Components
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1. **FastAPI Server** - Modern Python web framework with automatic OpenAPI docs
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2. **Authentication Middleware** - API key validation and rate limiting
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3. **Memory Service Layer** - Abstraction over mem0 core functionality
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4. **Request/Response Models** - Pydantic models for validation
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5. **Error Handling** - Standardized error responses
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6. **Logging & Monitoring** - Request/response logging
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### Data Flow
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```
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Client Request → Authentication → Validation → Memory Service → mem0 Core → Supabase/Neo4j → Response
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```
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## Endpoint Design
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### 1. Health & Status Endpoints
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#### GET /health
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- **Purpose**: Basic health check
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- **Response**: `{"status": "healthy", "timestamp": "2025-07-31T10:00:00Z"}`
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- **Auth**: None required
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#### GET /status
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- **Purpose**: Detailed system status
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- **Response**: Database connections, service health, version info
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- **Auth**: API key required
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### 2. Memory CRUD Operations
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#### POST /memories
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- **Purpose**: Add new memory
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- **Request Body**:
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```json
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{
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"messages": [
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{"role": "user", "content": "I love working with Python and AI"}
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],
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"user_id": "user_123",
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"metadata": {"source": "chat", "category": "preferences"}
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}
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```
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- **Response**:
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```json
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{
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"success": true,
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"data": {
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"results": [
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{
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"id": "mem_abc123",
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"memory": "User loves working with Python and AI",
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"event": "ADD",
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"created_at": "2025-07-31T10:00:00Z"
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}
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]
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},
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"message": "Memory added successfully"
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}
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```
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#### GET /memories/search
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- **Purpose**: Search memories by content
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- **Query Parameters**:
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- `query` (required): Search query string
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- `user_id` (required): User identifier
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- `limit` (optional, default=10): Number of results
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- `threshold` (optional, default=0.0): Similarity threshold
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- **Response**:
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```json
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{
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"success": true,
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"data": {
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"results": [
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{
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"id": "mem_abc123",
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"memory": "User loves working with Python and AI",
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"score": 0.95,
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"created_at": "2025-07-31T10:00:00Z",
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"metadata": {"source": "chat"}
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}
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],
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"query": "Python programming",
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"total_results": 1
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}
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}
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```
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#### GET /memories/{memory_id}
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- **Purpose**: Retrieve specific memory by ID
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- **Path Parameters**: `memory_id` - Memory identifier
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- **Response**: Single memory object with full details
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#### PUT /memories/{memory_id}
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- **Purpose**: Update existing memory
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- **Request Body**: Updated memory content and metadata
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- **Response**: Updated memory object
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#### DELETE /memories/{memory_id}
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- **Purpose**: Delete specific memory
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- **Response**: Confirmation of deletion
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#### GET /memories/user/{user_id}
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- **Purpose**: Retrieve all memories for a user
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- **Path Parameters**: `user_id` - User identifier
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- **Query Parameters**:
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- `limit` (optional): Number of results
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- `offset` (optional): Pagination offset
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- **Response**: List of user's memories
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### 3. User Management
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#### GET /users/{user_id}/stats
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- **Purpose**: Get user memory statistics
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- **Response**: Memory counts, recent activity, storage usage
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#### DELETE /users/{user_id}/memories
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- **Purpose**: Delete all memories for a user
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- **Response**: Confirmation and count of deleted memories
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### 4. System Operations
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#### GET /metrics
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- **Purpose**: API performance metrics
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- **Response**: Request counts, response times, error rates
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- **Auth**: Admin API key required
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## Request/Response Models
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### Standard Response Format
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All API responses follow this structure:
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```json
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{
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"success": boolean,
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"data": object | array | null,
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"message": string,
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"timestamp": "ISO 8601 string",
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"request_id": "uuid"
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}
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```
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### Error Response Format
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```json
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{
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"success": false,
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"error": {
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"code": "ERROR_CODE",
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"message": "Human readable error message",
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"details": object,
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"request_id": "uuid"
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},
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"timestamp": "ISO 8601 string"
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}
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```
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### Memory Object Structure
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```json
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{
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"id": "mem_abc123def456",
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"memory": "Processed memory content",
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"user_id": "user_123",
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"hash": "content_hash",
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"score": 0.95,
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"metadata": {
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"source": "api",
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"category": "user_preference",
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"custom_field": "value"
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},
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"created_at": "2025-07-31T10:00:00Z",
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"updated_at": "2025-07-31T10:00:00Z"
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}
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```
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## Authentication & Security
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### API Key Authentication
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- **Header**: `Authorization: Bearer <api_key>`
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- **Format**: `mem0_<random_string>` (e.g., `mem0_abc123def456`)
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- **Validation**: Keys stored securely, validated on each request
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- **Scope**: Different keys can have different permissions
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### Rate Limiting
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- **Default**: 100 requests per minute per API key
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- **Burst**: Up to 20 requests in 10 seconds
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- **Headers**: Rate limit info in response headers
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```
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X-RateLimit-Limit: 100
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X-RateLimit-Remaining: 95
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X-RateLimit-Reset: 1627849200
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```
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### Input Validation
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- **Pydantic Models**: Automatic request validation
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- **Sanitization**: Content sanitization for XSS prevention
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- **Size Limits**: Request body size limits
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- **User ID Format**: Validation of user identifier format
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## Error Codes
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| Code | HTTP Status | Description |
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|------|------------|-------------|
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| `INVALID_REQUEST` | 400 | Malformed request body or parameters |
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| `UNAUTHORIZED` | 401 | Invalid or missing API key |
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| `FORBIDDEN` | 403 | API key lacks required permissions |
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| `MEMORY_NOT_FOUND` | 404 | Memory with given ID does not exist |
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| `USER_NOT_FOUND` | 404 | User has no memories |
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| `RATE_LIMIT_EXCEEDED` | 429 | Too many requests |
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| `VALIDATION_ERROR` | 422 | Request validation failed |
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| `INTERNAL_ERROR` | 500 | Server error |
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| `SERVICE_UNAVAILABLE` | 503 | Database or mem0 service unavailable |
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## Configuration
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### Environment Variables
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```bash
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# API Configuration
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API_HOST=localhost
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API_PORT=8080
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API_WORKERS=4
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API_LOG_LEVEL=info
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# Authentication
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API_KEYS=mem0_dev_key_123,mem0_prod_key_456
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ADMIN_API_KEYS=mem0_admin_key_789
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# Rate Limiting
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RATE_LIMIT_REQUESTS=100
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RATE_LIMIT_WINDOW_MINUTES=1
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# mem0 Configuration (from existing config.py)
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# Database connections already configured in Phase 1
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```
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## Performance Considerations
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### Caching Strategy
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- **Memory Results**: Cache frequently accessed memories
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- **User Stats**: Cache user statistics for performance
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- **Rate Limiting**: Redis-based rate limit tracking
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### Database Optimization
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- **Connection Pooling**: Efficient database connections
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- **Query Optimization**: Optimized vector similarity searches
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- **Indexing**: Proper database indexes for performance
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### Monitoring & Logging
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- **Request Logging**: All API requests logged
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- **Performance Metrics**: Response time tracking
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- **Error Tracking**: Comprehensive error logging
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- **Health Checks**: Automated health monitoring
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## Development Phases
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### Phase 2.1: Core API Implementation
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1. Basic FastAPI server setup
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2. Authentication middleware
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3. Core memory CRUD endpoints
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4. Basic error handling
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### Phase 2.2: Advanced Features
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1. Search and filtering capabilities
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2. User management endpoints
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3. Rate limiting implementation
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4. Comprehensive validation
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### Phase 2.3: Production Features
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1. Performance optimization
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2. Monitoring and metrics
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3. Docker containerization
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4. API documentation generation
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## Testing Strategy
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### Unit Tests
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- Individual endpoint testing
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- Authentication testing
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- Validation testing
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- Error handling testing
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### Integration Tests
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- End-to-end API workflows
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- Database integration testing
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- mem0 service integration
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- Multi-user scenarios
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### Performance Tests
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- Load testing with realistic data
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- Rate limiting verification
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- Database performance under load
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- Memory usage optimization
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## Documentation
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### Auto-Generated Docs
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- **OpenAPI/Swagger**: Automatic API documentation
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- **Interactive Testing**: Built-in API testing interface
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- **Schema Documentation**: Request/response schemas
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### Manual Documentation
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- **API Guide**: Usage examples and best practices
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- **Integration Guide**: How to integrate with the API
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- **Troubleshooting**: Common issues and solutions
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---
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This design provides a comprehensive REST API that leverages the fully functional mem0 + Supabase infrastructure from Phase 1, with enterprise-ready features for authentication, rate limiting, and monitoring.
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