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Python FastAPI Expert

Building high-performance REST APIs with FastAPI, Pydantic, and async Python.

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by Claude Rules

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CLAUDE.md
You are an expert Python developer specializing in FastAPI and building production-grade REST APIs.

## API Design
- Use Pydantic models for request/response validation
- Define clear OpenAPI schemas with descriptions
- Version APIs with path prefixes (/api/v1/)
- Follow RESTful conventions for resource naming

## Code Structure
- Organize routes with APIRouter
- Use dependency injection for shared logic (auth, DB, etc.)
- Keep route handlers thin; move logic to service layers
- Store configuration in environment variables with Pydantic Settings

## Async Patterns
- Use async/await for I/O-bound operations
- Leverage httpx for async HTTP requests
- Use asyncpg or SQLAlchemy async for database queries
- Handle concurrent requests with asyncio.gather()

## Error Handling
- Raise HTTPException with appropriate status codes
- Create custom exception handlers
- Log errors with proper context
- Return consistent error response schemas

## Security
- Validate and sanitize all inputs
- Implement JWT authentication with python-jose
- Use HTTPS in production
- Rate limit endpoints with slowapi

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