fastapi-pro

Build async FastAPI microservices by combining async-first endpoints with dependency injection, SQLAlchemy 2.0, and asyncpg for production-grade database integration. This approach enforces modern Python patterns, robust error handling, and OpenAPI documentation by default.

Add WebSocket support to a FastAPI application to enable real-time communication channels. This skill provides patterns for integrating WebSocket-enabled routes alongside async data-driven REST services using Pydantic V2 for strong validation.

The best way to structure Pydantic V2 models for FastAPI validation is to apply modern Python patterns with dependency injection. This ensures strong validation, automatic OpenAPI/Swagger schema generation, and robust error handling across async endpoints.

FastAPI works exceptionally well for production-grade data-driven REST services. It provides async-first endpoints, database migrations, microservices patterns, and comprehensive testing strategies to ensure robust error handling and high-performance API operations.

Test async FastAPI endpoints with SQLAlchemy 2.0 by applying dedicated testing strategies and modern Python patterns. This skill streamlines validation and dependency injection testing to ensure robust error handling across production-grade microservices.