
fastapi-advanced
by yonatangross
The Complete AI Development Toolkit for Claude Code — 159 skills, 34 agents, 20 commands, 144 hooks. Production-ready patterns for FastAPI, React 19, LangGraph, security, and testing.
SKILL.md
name: fastapi-advanced description: FastAPI 2026 advanced patterns including lifespan, dependencies, middleware, and Pydantic settings. Use when configuring FastAPI lifespan events, creating dependency injection, building Starlette middleware, or managing async Python services with uvicorn. context: fork agent: backend-system-architect version: 1.0.0 tags: [fastapi, python, async, middleware, dependencies, 2026] author: OrchestKit user-invocable: false
FastAPI Advanced Patterns (2026)
Production-ready FastAPI patterns for modern Python backends.
Lifespan Management (2026)
Modern Lifespan Context Manager
from contextlib import asynccontextmanager
from fastapi import FastAPI
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
import redis.asyncio as redis
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Application lifespan with resource management."""
# Startup
app.state.db_engine = create_async_engine(
settings.database_url,
pool_size=5,
max_overflow=10,
)
app.state.redis = redis.from_url(settings.redis_url)
# Health check connections
async with app.state.db_engine.connect() as conn:
await conn.execute(text("SELECT 1"))
await app.state.redis.ping()
yield # Application runs
# Shutdown
await app.state.db_engine.dispose()
await app.state.redis.close()
app = FastAPI(lifespan=lifespan)
Lifespan with Services
from app.services import EmbeddingsService, LLMService
@asynccontextmanager
async def lifespan(app: FastAPI):
# Initialize services
app.state.embeddings = EmbeddingsService(
model=settings.embedding_model,
batch_size=100,
)
app.state.llm = LLMService(
providers=["openai", "anthropic"],
default="anthropic",
)
# Warm up models (optional)
await app.state.embeddings.warmup()
yield
# Cleanup
await app.state.embeddings.close()
await app.state.llm.close()
Dependency Injection Patterns
Database Session
from typing import AsyncGenerator
from sqlalchemy.ext.asyncio import AsyncSession
from fastapi import Depends, Request
async def get_db(request: Request) -> AsyncGenerator[AsyncSession, None]:
"""Yield database session from app state."""
async with AsyncSession(
request.app.state.db_engine,
expire_on_commit=False,
) as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
Service Dependencies
from functools import lru_cache
class AnalysisService:
def __init__(
self,
db: AsyncSession,
embeddings: EmbeddingsService,
llm: LLMService,
):
self.db = db
self.embeddings = embeddings
self.llm = llm
def get_analysis_service(
db: AsyncSession = Depends(get_db),
request: Request = None,
) -> AnalysisService:
return AnalysisService(
db=db,
embeddings=request.app.state.embeddings,
llm=request.app.state.llm,
)
@router.post("/analyses")
async def create_analysis(
data: AnalysisCreate,
service: AnalysisService = Depends(get_analysis_service),
):
return await service.create(data)
Cached Dependencies
from functools import lru_cache
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
database_url: str
redis_url: str
api_key: str
model_config = {"env_file": ".env"}
@lru_cache
def get_settings() -> Settings:
return Settings()
# Usage in dependencies
def get_db_url(settings: Settings = Depends(get_settings)) -> str:
return settings.database_url
Authenticated User
from fastapi import Depends, HTTPException, Security
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
security = HTTPBearer()
async def get_current_user(
credentials: HTTPAuthorizationCredentials = Security(security),
db: AsyncSession = Depends(get_db),
) -> User:
token = credentials.credentials
payload = decode_jwt(token)
user = await db.get(User, payload["sub"])
if not user:
raise HTTPException(401, "Invalid credentials")
return user
async def get_admin_user(
user: User = Depends(get_current_user),
) -> User:
if not user.is_admin:
raise HTTPException(403, "Admin access required")
return user
Middleware Patterns
Request ID Middleware
import uuid
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Request
class RequestIDMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next):
request_id = request.headers.get("X-Request-ID", str(uuid.uuid4()))
request.state.request_id = request_id
response = await call_next(request)
response.headers["X-Request-ID"] = request_id
return response
app.add_middleware(RequestIDMiddleware)
Timing Middleware
import time
from starlette.middleware.base import BaseHTTPMiddleware
class TimingMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next):
start = time.perf_counter()
response = await call_next(request)
duration = time.perf_counter() - start
response.headers["X-Response-Time"] = f"{duration:.3f}s"
return response
Structured Logging Middleware
import structlog
from starlette.middleware.base import BaseHTTPMiddleware
logger = structlog.get_logger()
class LoggingMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next):
log = logger.bind(
request_id=getattr(request.state, "request_id", None),
method=request.method,
path=request.url.path,
)
try:
response = await call_next(request)
log.info(
"request_completed",
status_code=response.status_code,
)
return response
except Exception as exc:
log.exception("request_failed", error=str(exc))
raise
CORS Configuration
from fastapi.middleware.cors import CORSMiddleware
app.add_middleware(
CORSMiddleware,
allow_origins=settings.cors_origins,
allow_credentials=True,
allow_methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
allow_headers=["*"],
expose_headers=["X-Request-ID", "X-Response-Time"],
)
Settings with Pydantic
from pydantic import Field, field_validator, PostgresDsn
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=False,
)
# Database
database_url: PostgresDsn
db_pool_size: int = Field(default=5, ge=1, le=20)
db_max_overflow: int = Field(default=10, ge=0, le=50)
# Redis
redis_url: str = "redis://localhost:6379"
# API
api_key: str = Field(min_length=32)
debug: bool = False
# LLM
openai_api_key: str | None = None
anthropic_api_key: str | None = None
@field_validator("database_url", mode="before")
@classmethod
def validate_database_url(cls, v: str) -> str:
if v and "+asyncpg" not in v:
return v.replace("postgresql://", "postgresql+asyncpg://")
return v
@property
def async_database_url(self) -> str:
return str(self.database_url)
Exception Handlers
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse
from sqlalchemy.exc import IntegrityError
from app.core.exceptions import ProblemException
@app.exception_handler(ProblemException)
async def problem_exception_handler(request: Request, exc: ProblemException):
return JSONResponse(
status_code=exc.status_code,
content=exc.to_problem_detail(),
media_type="application/problem+json",
)
@app.exception_handler(IntegrityError)
async def integrity_error_handler(request: Request, exc: IntegrityError):
return JSONResponse(
status_code=409,
content={
"type": "https://api.example.com/problems/conflict",
"title": "Conflict",
"status": 409,
"detail": "Resource already exists or constraint violated",
},
media_type="application/problem+json",
)
Response Optimization
from fastapi.responses import ORJSONResponse
# Use orjson for faster JSON serialization
app = FastAPI(default_response_class=ORJSONResponse)
# Streaming response
from fastapi.responses import StreamingResponse
@router.get("/export")
async def export_data():
async def generate():
async for chunk in fetch_large_dataset():
yield json.dumps(chunk) + "\n"
return StreamingResponse(
generate(),
media_type="application/x-ndjson",
)
Health Checks
from fastapi import APIRouter
health_router = APIRouter(tags=["health"])
@health_router.get("/health")
async def health_check(request: Request):
checks = {}
# Database
try:
async with request.app.state.db_engine.connect() as conn:
await conn.execute(text("SELECT 1"))
checks["database"] = "healthy"
except Exception as e:
checks["database"] = f"unhealthy: {e}"
# Redis
try:
await request.app.state.redis.ping()
checks["redis"] = "healthy"
except Exception as e:
checks["redis"] = f"unhealthy: {e}"
status = "healthy" if all(v == "healthy" for v in checks.values()) else "unhealthy"
return {"status": status, "checks": checks}
Anti-Patterns (FORBIDDEN)
# NEVER use global state
db_session = None # Global mutable state!
# NEVER block the event loop
def sync_db_query(): # Blocking in async context!
return session.query(User).all()
# NEVER skip dependency injection
@router.get("/users")
async def get_users():
db = create_session() # Creating session in route!
return db.query(User).all()
# NEVER ignore lifespan cleanup
@asynccontextmanager
async def lifespan(app: FastAPI):
app.state.pool = create_pool()
yield
# Missing cleanup! Pool never closed
Key Decisions
| Decision | Recommendation |
|---|---|
| Lifespan | Use asynccontextmanager (not events) |
| Dependencies | Class-based services with DI |
| Settings | Pydantic Settings with .env |
| Response | ORJSONResponse for performance |
| Middleware | Order: CORS → RequestID → Timing → Logging |
| Health | Check all critical dependencies |
Available Scripts
-
scripts/create-fastapi-app.md- Context-aware FastAPI application generator- Auto-detects: Python version, database type, Redis usage, project structure
- Usage:
/create-fastapi-app [app-name] - Uses
$ARGUMENTSand!commandfor project-specific configuration - Generates production-ready app with detected dependencies
-
assets/fastapi-app-template.py- Static FastAPI application template
Related Skills
clean-architecture- Service layer patternsdatabase-schema-designer- SQLAlchemy modelsobservability-monitoring- Logging and metrics
Capability Details
lifespan
Keywords: lifespan, startup, shutdown, asynccontextmanager Solves:
- FastAPI startup/shutdown
- Resource management in FastAPI
dependencies
Keywords: dependency injection, Depends, get_db, service dependency Solves:
- FastAPI dependency injection patterns
- Reusable dependencies
middleware
Keywords: middleware, request id, timing, cors, logging middleware Solves:
- Custom FastAPI middleware
- Request/response interceptors
settings
Keywords: settings, pydantic settings, env, configuration Solves:
- FastAPI configuration management
- Environment variables
health-checks
Keywords: health check, readiness, liveness, health endpoint Solves:
- Kubernetes health checks
- Service health monitoring
Score
Total Score
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