FastAPI
// Build fast, production-ready Python APIs with type hints, validation, and async support.
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameFastAPI
descriptionBuild fast, production-ready Python APIs with type hints, validation, and async support.
metadata[object Object]
FastAPI Patterns
Async Traps
- Mixing sync database drivers (psycopg2, PyMySQL) in async endpoints blocks the event loop — use async drivers (asyncpg, aiomysql) or run sync code in
run_in_executor time.sleep()in async endpoints blocks everything — useawait asyncio.sleep()instead- CPU-bound work in async endpoints starves other requests — offload to
ProcessPoolExecutoror background workers - Async endpoints calling sync functions that do I/O still block — the entire call chain must be async
Pydantic Validation
- Default values in models become shared mutable state:
items: list = []shares the same list across requests — useField(default_factory=list) Optional[str]doesn't make a field optional in the request — add= Noneor useField(default=None)- Pydantic v2 uses
model_validate()notparse_obj(), andmodel_dump()not.dict()— v1 methods are deprecated - Use
Annotated[str, Field(min_length=1)]for reusable validated types instead of repeating constraints
Dependency Injection
- Dependencies run on every request by default — use
lru_cacheon expensive dependencies or cache in app.state for singletons Depends()without an argument reuses the type hint as the dependency — clean but can confuse readers- Nested dependencies form a DAG — if A depends on B and C, and both B and C depend on D, D runs once (cached per-request)
yielddependencies for cleanup (DB sessions, file handles) — code after yield runs even if the endpoint raises
Lifespan and Startup
@app.on_event("startup")is deprecated — uselifespanasync context manager- Store shared resources (DB pool, HTTP client) in
app.stateduring lifespan, not as global variables - Lifespan runs once per worker process — with 4 Uvicorn workers you get 4 DB pools
from contextlib import asynccontextmanager
@asynccontextmanager
async def lifespan(app):
app.state.db = await create_pool()
yield
await app.state.db.close()
app = FastAPI(lifespan=lifespan)
Request/Response
- Return
dictfrom endpoints, not Pydantic models directly — FastAPI handles serialization and it's faster - Use
status_code=201on POST endpoints returning created resources — 200 is the default but semantically wrong Responsewithmedia_type="text/plain"for non-JSON responses — returning a string still gets JSON-encoded otherwise- Set
response_model_exclude_unset=Trueto omit None fields from response — cleaner API output
Error Handling
raise HTTPException(status_code=404)— don't return Response objects for errors, it bypasses middleware- Custom exception handlers with
@app.exception_handler(CustomError)— but remember they don't catch HTTPException - Use
detail=for user-facing messages, log the actual error separately — don't leak stack traces
Background Tasks
BackgroundTasksruns after the response is sent but still in the same process — not suitable for long-running jobs- Tasks execute sequentially in order added — don't assume parallelism
- If a background task fails, the client never knows — add your own error handling and alerting
Security
OAuth2PasswordBeareris for documentation only — it doesn't validate tokens, you must implement that in the dependency- CORS middleware must come after exception handlers in middleware order — or errors won't have CORS headers
Depends(get_current_user)in path operation, not in router — dependencies on routers affect all routes including health checks
Testing
TestClientruns sync even for async endpoints — usehttpx.AsyncClientwithASGITransportfor true async testing- Override dependencies with
app.dependency_overrides[get_db] = mock_db— cleaner than monkeypatching TestClientcontext manager ensures lifespan runs — withoutwith TestClient(app) as client:startup/shutdown hooks don't fire