MCP AI Service Platform

# OpenAI配置 OPENAI_API_KEY=your_openai_api_key_here OPENAI_BASE_URL=https://api.openai.com/v1 OPENAI_MODEL=gpt-4 OPENAI_MAX_TOKENS=1000 OPENAI_TIMEOUT=30 # API服务配置 API_HOST=0.0.0.0 API_PORT=8000 API_WORKERS=1 API_MAX_CONCURRENT_REQUESTS=100 API_REQUEST_TIMEOUT=300 API_RATE_LIMIT_PER_MINUTE=60 # MCP连接配置 MCP_SERVER_URL=mcp.json MCP_MAX_CONNECTIONS_PER_SERVER=5 MCP_CONNECTION_TIMEOUT=30 MCP_RECONNECT_INTERVAL=5 MCP_MAX_RECONNECT_ATTEMPTS=3 MCP_HEALTH_CHECK_INTERVAL=60 # PostgreSQL数据库配置 POSTGRES_HOST=localhost POSTGRES_PORT=5432 POSTGRES_DB=mcp_rag POSTGRES_USER=mcp_user POSTGRES_PASSWORD=mcp_password123 POSTGRES_MAX_CONNECTIONS=20 POSTGRES_POOL_SIZE=10 POSTGRES_MAX_OVERFLOW=20 POSTGRES_POOL_TIMEOUT=30 POSTGRES_POOL_RECYCLE=3600 # Redis配置 REDIS_HOST=localhost REDIS_PORT=6379 REDIS_DB=0 REDIS_PASSWORD= REDIS_MAX_CONNECTIONS=20 # RAG配置 # 嵌入模型配置 RAG_EMBEDDING_MODEL=text-embedding-ada-002 RAG_EMBEDDING_DIMENSIONS=1536 # 文本分块配置 RAG_CHUNK_SIZE=1000 RAG_CHUNK_OVERLAP=200 # 搜索配置 RAG_SIMILARITY_THRESHOLD=0.7 RAG_MAX_SEARCH_RESULTS=10 # 缓存配置 RAG_ENABLE_CACHE=true RAG_CACHE_TTL=3600 # 文档处理配置 RAG_MAX_FILE_SIZE=10485760 # 10MB RAG_SUPPORTED_FILE_TYPES=["txt", "pdf", "docx", "md"] # 日志配置 LOG_LEVEL=INFO LOG_FORMAT=json LOG_FILE_PATH= LOG_MAX_FILE_SIZE=100MB LOG_BACKUP_COUNT=5 # 监控配置 MONITORING_ENABLE_PROMETHEUS=true MONITORING_PROMETHEUS_PORT=8001 MONITORING_ENABLE_HEALTH_CHECK=true # 环境设置 ENVIRONMENT=development DEBUG=false # Grafana配置（docker-compose使用） GRAFANA_PASSWORD=admin123 # 其他API密钥（如果使用agentdocs-server） SERPER_API_KEY=your_serper_api_key_here