Builds and reviews Python HTTP APIs with FastAPI, Pydantic v2, and async request handling.
npx skills add https://github.com/Lynricsy/HyperSkills --skill fastapi-lynricsy
Please help me install this Agent Skill. Skill: fastapi Source: https://github.com/Lynricsy/HyperSkills/tree/main/skills/fastapi Command: npx skills add https://github.com/Lynricsy/HyperSkills --skill fastapi-lynricsy
High-intent search queries and answers about installing and using this skill.
Check async def handlers for blocking calls like requests, time.sleep, or synchronous database drivers, which stall the entire event loop. Either declare the handler as def so FastAPI runs it in the threadpool, or wrap the blocking call with run_in_threadpool or asyncer.asyncify.
Set app.dependency_overrides[get_current_user] = fake before creating the test client, and clear overrides in teardown. Patching the module attribute with monkeypatch does not work because the route captured the callable when the decorator ran.
The handler body decides: use async def only when every call is awaited, and def when the body contains any blocking call, which FastAPI runs in the threadpool. A single blocking call inside async def stalls every in-flight request on that worker.
A bare TestClient(app) never runs lifespan, so startup state is missing and failures surface as unrelated AttributeError exceptions. Use the context manager form with TestClient(app) as client, preferably inside a pytest fixture.
Define a separate public response model that never declares fields like password_hash, rather than relying on response_model_exclude lists. A model that does not declare the field cannot leak it, while exclusion lists are forgotten on new endpoints.
BackgroundTasks runs in the same worker process after the response with no retry or persistence, so it suits sub-second work whose loss is acceptable. For anything that must not be lost, return 202 with a job id and hand the work to a real queue like Celery, arq, or Dramatiq.
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