FastAPI Expert Skill

Idiomatic FastAPI service generation and review - an Agent Skill for Python 3.14, FastAPI 0.115+, and Pydantic 2.

What This Skill Does

Produces a deployable API checklist: src/ layout, pyproject.toml with uv, router modules, settings via pydantic-settings, /health and /ready, structured logging, pytest + httpx tests, and Dockerfile stub.

When to Invoke

New microservice in a monorepo or standalone repo
Reviewing a PR for FastAPI anti-patterns (sync DB in async route, missing validation)
Splitting a Flask script into a typed API service
Standardizing hackathon code before production hardening

Inputs

Input	Why
Service name	Package name, log field, Docker image tag
Sync vs async DB	`AsyncSession` + asyncpg vs sync SQLAlchemy
Auth model	None, API key, OAuth2 JWT
Port default	`8000` or platform convention
Monorepo path	`services/billing-api` vs root repo

Outputs

pyproject.toml with fastapi, uvicorn[standard], pydantic-settings, httpx, pytest
app/main.py with lifespan, CORS policy stub, router includes
app/settings.py with BaseSettings and .env.example
app/routers/health.py with /health and /ready
tests/test_health.py using TestClient or httpx.ASGITransport
Verification command block

Guardrails

Pydantic v2 - model_validate, Field(alias=...), not v1 .dict().
No secrets in generated files - .env.example placeholders only.
Health routes before domain routes - load balancers need them day one.
Structured logging - logging JSON or structlog - no bare print in prod paths.
Async routes must not block - no sync requests or heavy CPU without to_thread.
requires-python >= 3.14 when org standard allows - document 3.13 fallback if needed.

Recipe

cd services/billing-api
uv sync
uv run ruff check .
uv run pytest -q
uv run uvicorn app.main:app --reload &
curl -sf http://localhost:8000/health
curl -sf http://localhost:8000/ready

Working Example (app skeleton)

# app/main.py
from contextlib import asynccontextmanager
 
from fastapi import FastAPI
 
from app.routers import health
 
 
@asynccontextmanager
async def lifespan(app: FastAPI):
    yield
 
 
app = FastAPI(title="billing-api", lifespan=lifespan)
app.include_router(health.router)

# app/routers/health.py
from fastapi import APIRouter
 
router = APIRouter(tags=["health"])
 
 
@router.get("/health")
def health() -> dict[str, str]:
    return {"status": "ok"}
 
 
@router.get("/ready")
def ready() -> dict[str, str]:
    return {"status": "ready"}

FAQs

FastAPI or Django for this service?

FastAPI for IO-bound JSON APIs. Django when admin, ORM monolith, and templates are core - skill does not override ADR.

Include SQLModel in scaffold?

Only when input specifies persistence day one - otherwise stub repository protocol and add DB in follow-up PR.

Gunicorn or uvicorn?

uvicorn for dev; production often gunicorn -k uvicorn.workers.UvicornWorker behind reverse proxy.

FastAPI Basics - human cookbook
Testing FastAPI - TestClient patterns
pydantic-settings - configuration
Packaging & Publishing Skill - PyPI layout

Stack versions: This page was written for Python 3.14.0 (stable 3.14, maintenance 3.13), FastAPI 0.115+, Django 5.2, Flask 3.1, Pydantic 2, PyTorch 2.6+, pandas 2.2+, Polars 1.x, ruff 0.9+, and uv 0.6+.

Input

Why

Service name

Package name, log field, Docker image tag

Sync vs async DB

AsyncSession + asyncpg vs sync SQLAlchemy

Auth model

None, API key, OAuth2 JWT

Port default

8000 or platform convention

Monorepo path

services/billing-api vs root repo

Outputs

pyproject.toml with fastapi, uvicorn[standard], pydantic-settings, httpx, pytest

app/main.py with lifespan, CORS policy stub, router includes

app/settings.py with BaseSettings and .env.example

app/routers/health.py with /health and /ready

tests/test_health.py using TestClient or httpx.ASGITransport

Verification command block

Guardrails

Pydantic v2 - model_validate, Field(alias=...), not v1 .dict().

No secrets in generated files - .env.example placeholders only.

Health routes before domain routes - load balancers need them day one.

Structured logging - logging JSON or structlog - no bare print in prod paths.

Async routes must not block - no sync requests or heavy CPU without to_thread.

requires-python >= 3.14 when org standard allows - document 3.13 fallback if needed.

Working Example (app skeleton)

# app/main.py
from contextlib import asynccontextmanager
 
from fastapi import FastAPI
 
from app.routers import health
 
 
@asynccontextmanager
async def lifespan(app: FastAPI):
    yield
 
 
app = FastAPI(title="billing-api", lifespan=lifespan)
app.include_router(health.router)

# app/routers/health.py
from fastapi import APIRouter
 
router = APIRouter(tags=["health"])
 
 
@router.get("/health")
def health() -> dict[str, str]:
    return {"status": "ok"}
 
 
@router.get("/ready")
def ready() -> dict[str, str]:
    return {"status": "ready"}

FAQs

FastAPI or Django for this service?

FastAPI for IO-bound JSON APIs. Django when admin, ORM monolith, and templates are core - skill does not override ADR.

Include SQLModel in scaffold?

Only when input specifies persistence day one - otherwise stub repository protocol and add DB in follow-up PR.

Gunicorn or uvicorn?

uvicorn for dev; production often gunicorn -k uvicorn.workers.UvicornWorker behind reverse proxy.

Stack versions: This page was written for Python 3.14.0 (stable 3.14, maintenance 3.13), FastAPI 0.115+, Django 5.2, Flask 3.1, Pydantic 2, PyTorch 2.6+, pandas 2.2+, Polars 1.x, ruff 0.9+, and uv 0.6+.

FastAPI Expert Skill

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FastAPI Expert Skill