FastAPI Endpoint with Pydantic
backend
Python
scaffolding
zen
Production-ready FastAPI endpoint with validation, error handling, and documentation.
By sophia_m
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