fastapi-pro

name	fastapi-pro
description	Professional FastAPI development for high-performance AI backends. Use when building async APIs, implementing Pydantic models, or integrating with LangGraph and SQL databases.

FastAPI Professional

Core Principles

• Asynchronous: Use async def for all I/O bound operations.
• Type Safety: Use Pydantic v2 for request/response validation. Define clear schemas.
• Dependency Injection: Use Depends() for database sessions, auth, and AI model loading.

Performance & Scaling

• Background Tasks: Offload heavy AI processing to BackgroundTasks or Celery if persistence is needed.
• CORS: Always restrict allow_origins to known frontend domains.
• WebSockets: Implement robust heartbeats and JSON-based messaging protocols.

Database Integration

• SQLAlchemy 2.0+: Use the async session pattern.
• Migrations: Always use Alembic for schema changes.