FastAPI Python
Build high-performance Python APIs with FastAPI. Generates Pydantic models, async route handlers, dependency injection, background tasks, and auto-generated OpenAPI docs with proper error handling.
This skill helps you build production Python APIs with FastAPI. It generates Pydantic v2 models, async database access with SQLAlchemy, dependency injection patterns, background task workers, WebSocket endpoints, and auto-generated interactive API documentation.
fastapi python api pydantic async
When to use
Use when building Python REST APIs, ML model serving endpoints, real-time WebSocket services, or migrating from Flask/Django REST Framework to FastAPI for better performance and type safety.
Examples
ML model serving API
Create an API to serve ML model predictions
Build a FastAPI endpoint that loads a scikit-learn model, validates input with Pydantic, and returns predictions with proper error handling
Async CRUD with SQLAlchemy
Set up async database access patterns
Create a FastAPI app with async SQLAlchemy 2.0, Alembic migrations, and proper session management per request