FastAPI Backend

What I do

• •Build FastAPI services with clean routing and models
• •Shape request/response data with Pydantic
• •Coordinate local stacks with docker-compose at a high level

When to use me

Use when you need FastAPI endpoints or backend scaffolding. Ask clarifying questions about auth, persistence, and deployment targets.

Quick checklist

• •Prefer Pydantic models for I/O
• •Separate routers by domain
• •Follow MVC pattern for service structure
• •Handle async vs sync correctly
• •Add health checks for readiness
• •Keep configuration in env variables

Minimal examples

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    id: int
    name: str

@app.post("/items", response_model=Item)
async def create_item(item: Item) -> Item:
    return item

Output format

## FastAPI Update

### Summary
- [What changed]
- [API behavior or reliability gain]

### Code
```python
[FastAPI code]

Notes

• •[Assumptions]
• •[Next steps]