
FastAPI Patterns
FreeStreamline your FastAPI development with proven patterns.
Free · Opens the source repo
What FastAPI Patterns does
FastAPI Patterns provides a structured approach to building production-ready FastAPI applications. It emphasizes the separation of concerns, ensuring that your application is modular and maintainable. The recommended project layout organizes your code into distinct directories for the main application, configuration, dependencies, and testing. This organization helps developers quickly locate and manage different aspects of their application, from routing to database access and authentication.
The skill guides you in using dependency injection effectively, allowing for better management of request-scoped resources and making your application more testable. By following the outlined patterns, you can create async endpoints that efficiently handle I/O operations, ensuring that your application remains responsive and performant. The provided examples illustrate how to implement common functionalities like user management and error handling, making it easier for developers to adopt best practices.
In addition, FastAPI Patterns includes guidance on integrating Pydantic models for request and response validation, which is crucial for maintaining data integrity and improving API usability. It also emphasizes the importance of security and proper error handling, helping you to build robust applications that can handle real-world scenarios. Whether you're building a new application or reviewing an existing one, this skill serves as a valuable resource for ensuring that your FastAPI projects adhere to production standards.
When to use it
Use this skill when developing or reviewing FastAPI applications to ensure adherence to production-ready standards.
When not to use it
This skill may not be suitable for small, simple projects where the overhead of a structured approach is unnecessary.
What you can build with it
Building a New FastAPI Application
Utilize the provided project layout and patterns to structure your new FastAPI application effectively.
Reviewing Existing Code
Check your FastAPI pull requests against the recommended patterns to identify potential issues and improvements.
Implementing Authentication
Follow the guidance on dependency injection and security to add authentication features to your FastAPI app.
How to install FastAPI Patterns
View source1. Install with the skills CLI
npx skills add affaan-m/ecc/fastapi-patterns --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by affaan-mFastAPI Patterns
Production-oriented patterns for FastAPI services.
When to Use
- Building or reviewing a FastAPI app.
- Splitting routers, schemas, dependencies, and database access.
- Writing async endpoints that call a database or external service.
- Adding authentication, authorization, OpenAPI docs, tests, or deployment settings.
- Checking a FastAPI PR for copy-pasteable examples and production risks.
How It Works
Treat the FastAPI app as a thin HTTP layer over explicit dependencies and service code:
main.pyowns app construction, middleware, exception handlers, and router registration.schemas/owns Pydantic request and response models.dependencies.pyowns database, auth, pagination, and request-scoped dependencies.services/orcrud/owns business and persistence operations.tests/overrides dependencies instead of opening production resources.
Prefer small routers and explicit response_model declarations. Keep raw ORM objects, secrets, and framework globals out of response schemas.
Project Layout
app/
|-- main.py
|-- config.py
|-- dependencies.py
|-- exceptions.py
|-- api/
| `-- routes/
| |-- users.py
| `-- health.py
|-- core/
| |-- security.py
| `-- middleware.py
|-- db/
| |-- session.py
| `-- crud.py
|-- models/
|-- schemas/
`-- tests/
Application Factory
Use a factory so tests and workers can build the app with controlled settings.
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.api.routes import health, users
from app.config import settings
from app.db.session import close_db, init_db
from app.exceptions import register_exception_handlers
@asynccontextmanager
async def lifespan(app: FastAPI):
await init_db()
yield
await close_db()
def create_app() -> FastAPI:
app = FastAPI(
title=settings.api_title,
version=settings.api_version,
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=settings.cors_origins,
allow_credentials=bool(settings.cors_origins),
allow_methods=["GET", "POST", "PUT", "PATCH", "DELETE"],
allow_headers=["Authorization", "Content-Type"],
)
register_exception_handlers(app)
app.include_router(health.router, prefix="/health", tags=["health"])
app.include_router(users.router, prefix="/api/v1/users", tags=["users"])
return app
app = create_app()
Do not use allow_origins=["*"] with allow_credentials=True; browsers reject that combination and Starlette disallows it for credentialed requests.
Pydantic Schemas
Keep request, update, and response models separate.
from datetime import datetime
from typing import Annotated
from uuid import UUID
from pydantic import BaseModel, ConfigDict, EmailStr, Field
class UserBase(BaseModel):
email: EmailStr
full_name: Annotated[str, Field(min_length=1, max_length=100)]
class UserCreate(UserBase):
password: Annotated[str, Field(min_length=12, max_length=128)]
class UserUpdate(BaseModel):
email: EmailStr | None = None
full_name: Annotated[str | None, Field(min_length=1, max_length=100)] = None
class UserResponse(UserBase):
model_config = ConfigDict(from_attributes=True)
id: UUID
created_at: datetime
updated_at: datetime
Response models must never include password hashes, access tokens, refresh tokens, or internal authorization state.
Dependencies
Use dependency injection for request-scoped resources.
from collections.abc import AsyncIterator
from uuid import UUID
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.security import decode_token
from app.db.session import session_factory
from app.models.user import User
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/v1/auth/login")
async def get_db() -> AsyncIterator[AsyncSession]:
async with session_factory() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
async def get_current_user(
token: str = Depends(oauth2_scheme),
db: AsyncSession = Depends(get_db),
) -> User:
payload = decode_token(token)
user_id = UUID(payload["sub"])
user = await db.get(User, user_id)
if user is None:
raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid token")
return user
Avoid creating sessions, clients, or credentials inline inside route handlers.
Async Endpoints
Keep route handlers async when they perform I/O, and use async libraries inside them.
from fastapi import APIRouter, Depends, Query
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.dependencies import get_current_user, get_db
from app.models.user import User
from app.schemas.user import UserResponse
router = APIRouter()
@router.get("/", response_model=list[UserResponse])
async def list_users(
limit: int = Query(default=50, ge=1, le=100),
offset: int = Query(default=0, ge=0),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
result = await db.execute(
select(User).order_by(User.created_at.desc()).limit(limit).offset(offset)
)
return result.scalars().all()
Use httpx.AsyncClient for external HTTP calls from async handlers. Do not call requests in an async route.
Error Handling
Centralize domain exceptions and keep response shapes stable.
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse
class ApiError(Exception):
def __init__(self, status_code: int, code: str, message: str):
self.status_code = status_code
self.code = code
self.message = message
def register_exception_handlers(app: FastAPI) -> None:
@app.exception_handler(ApiError)
async def api_error_handler(request: Request, exc: ApiError):
return JSONResponse(
status_code=exc.status_code,
content={"error": {"code": exc.code, "message": exc.message}},
)
OpenAPI Customization
Assign the custom OpenAPI callable to app.openapi; do not just call the function once.
from fastapi import FastAPI
from fastapi.openapi.utils import get_openapi
def install_openapi(app: FastAPI) -> None:
def custom_openapi():
if app.openapi_schema:
return app.openapi_schema
app.openapi_schema = get_openapi(
title="Service API",
version="1.0.0",
routes=app.routes,
)
return app.openapi_schema
app.openapi = custom_openapi
Testing
Override the dependency used by Depends, not an internal helper that route handlers never reference.
import pytest
from httpx import ASGITransport, AsyncClient
from sqlalchemy.ext.asyncio import AsyncSession
from app.dependencies import get_db
from app.main import create_app
@pytest.fixture
async def client(test_session: AsyncSession):
app = create_app()
async def override_get_db():
yield test_session
app.dependency_overrides[get_db] = override_get_db
async with AsyncClient(
transport=ASGITransport(app=app),
base_url="http://test",
) as test_client:
yield test_client
app.dependency_overrides.clear()
Security Checklist
- Hash passwords with
argon2-cffi,bcrypt, or a current passlib-compatible hasher. - Validate JWT issuer, audience, expiry, and signing algorithm.
- Keep CORS origins environment-specific.
- Put rate limits on auth and write-heavy endpoints.
- Use Pydantic models for all request bodies.
- Use ORM parameter binding or SQLAlchemy Core expressions; never build SQL with f-strings.
- Redact tokens, authorization headers, cookies, and passwords from logs.
- Run dependency audit tooling in CI.
Performance Checklist
- Configure database connection pooling explicitly.
- Add pagination to list endpoints.
- Watch for N+1 queries and use eager loading intentionally.
- Use async HTTP/database clients in async paths.
- Add compression only after checking payload size and CPU tradeoffs.
- Cache stable expensive reads behind explicit invalidation.
Examples
Use these examples as patterns, not as project-wide templates:
- Application factory: configure middleware and routers once in
create_app. - Schema split:
UserCreate,UserUpdate, andUserResponsehave different responsibilities. - Dependency override: tests override
get_dbdirectly. - OpenAPI customization: assign
app.openapi = custom_openapi.
See Also
- Agent:
fastapi-reviewer - Command:
/fastapi-review - Skill:
python-patterns - Skill:
python-testing - Skill:
api-design
Frequently asked questions about FastAPI Patterns
Similar skills
Python PyPI Package Builder
Streamline the process of creating and publishing Python packages.
Minecraft Plugin Development
Streamline your Minecraft server plugin creation.
MCP Server Builder
Easily build .NET MCP servers with the latest standards.
CommunityToolkit.Mvvm Messenger
Decoupled communication for ViewModels in .NET applications.
MVVM Toolkit DI
Streamline ViewModel integration with Dependency Injection in .NET.
MCP Apps Builder
Essential guidelines for MCP server development.
