FastAPI Endpoint with Pydantic

backend
Python
scaffolding
zen
Remix

Production-ready FastAPI endpoint with validation, error handling, and documentation.

12/8/2025

Prompt

FastAPI Endpoint with Pydantic

Create a production-ready FastAPI endpoint for [Operation Description].

Components

1. Request Model

  • Use Pydantic with field validation
  • Implement Field validators
  • Include type hints

2. Response Model

  • Define response schema
  • Set proper status codes

3. Dependency Injection

  • Database session management
  • Reusable dependencies

4. Error Handling

  • Comprehensive try-except blocks
  • Raise HTTPException with appropriate status codes
  • Return meaningful error messages

5. OpenAPI Documentation

  • Add summary and description
  • Include request/response examples
  • Document all parameters

6. Logging

  • Add logging for debugging
  • Log important operations and errors

7. Type Safety

  • Type hints throughout
  • Full type coverage

Example Structure

@app.post("/[path]", response_model=[ResponseModel], status_code=201)
async def endpoint_name(request: [RequestModel], db: Session = Depends(get_db)):
    # implementation
    pass

Follow FastAPI best practices for production applications.

Tags

python
fastapi
pydantic
api

Tested Models

gpt-4
claude-3-5-sonnet

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