--- name: fastapi description: | Build Python APIs with FastAPI, Pydantic v2, and SQLAlchemy 2.0 async. Covers project structure, JWT auth, validation, and database integration with uv package manager. Prevents 7 documented errors. Use when: creating Python APIs, implementing JWT auth, or troubleshooting 422 validation, CORS, async blocking, form data, background tasks, or OpenAPI schema errors. user-invocable: true --- # FastAPI Skill Production-tested patterns for FastAPI with Pydantic v2, SQLAlchemy 2.0 async, and JWT authentication. **Latest Versions** (verified January 2026): - FastAPI: 0.128.0 - Pydantic: 2.11.7 - SQLAlchemy: 2.0.30 - Uvicorn: 0.35.0 - python-jose: 3.3.0 **Requirements**: - Python 3.9+ (Python 3.8 support dropped in FastAPI 0.125.0) - Pydantic v2.7.0+ (Pydantic v1 support completely removed in FastAPI 0.128.0) --- ## Quick Start ### Project Setup with uv ```bash # Create project uv init my-api cd my-api # Add dependencies uv add fastapi[standard] sqlalchemy[asyncio] aiosqlite python-jose[cryptography] passlib[bcrypt] # Run development server uv run fastapi dev src/main.py ``` ### Minimal Working Example ```python # src/main.py from fastapi import FastAPI from pydantic import BaseModel app = FastAPI(title="My API") class Item(BaseModel): name: str price: float @app.get("/") async def root(): return {"message": "Hello World"} @app.post("/items") async def create_item(item: Item): return item ``` Run: `uv run fastapi dev src/main.py` Docs available at: `http://127.0.0.1:8000/docs` --- ## Project Structure (Domain-Based) For maintainable projects, organize by domain not file type: ``` my-api/ ├── pyproject.toml ├── src/ │ ├── __init__.py │ ├── main.py # FastAPI app initialization │ ├── config.py # Global settings │ ├── database.py # Database connection │ │ │ ├── auth/ # Auth domain │ │ ├── __init__.py │ │ ├── router.py # Auth endpoints │ │ ├── schemas.py # Pydantic models │ │ ├── models.py # SQLAlchemy models │ │ ├── service.py # Business logic │ │ └── dependencies.py # Auth dependencies │ │ │ ├── items/ # Items domain │ │ ├── __init__.py │ │ ├── router.py │ │ ├── schemas.py │ │ ├── models.py │ │ └── service.py │ │ │ └── shared/ # Shared utilities │ ├── __init__.py │ └── exceptions.py └── tests/ └── test_main.py ``` --- ## Core Patterns ### Pydantic Schemas (Validation) ```python # src/items/schemas.py from pydantic import BaseModel, Field, ConfigDict from datetime import datetime from enum import Enum class ItemStatus(str, Enum): DRAFT = "draft" PUBLISHED = "published" ARCHIVED = "archived" class ItemBase(BaseModel): name: str = Field(..., min_length=1, max_length=100) description: str | None = Field(None, max_length=500) price: float = Field(..., gt=0, description="Price must be positive") status: ItemStatus = ItemStatus.DRAFT class ItemCreate(ItemBase): pass class ItemUpdate(BaseModel): name: str | None = Field(None, min_length=1, max_length=100) description: str | None = None price: float | None = Field(None, gt=0) status: ItemStatus | None = None class ItemResponse(ItemBase): id: int created_at: datetime model_config = ConfigDict(from_attributes=True) ``` **Key Points**: - Use `Field()` for validation constraints - Separate Create/Update/Response schemas - `from_attributes=True` enables SQLAlchemy model conversion - Use `str | None` (Python 3.10+) not `Optional[str]` ### SQLAlchemy Models (Database) ```python # src/items/models.py from sqlalchemy import String, Float, DateTime, Enum as SQLEnum from sqlalchemy.orm import Mapped, mapped_column from datetime import datetime from src.database import Base from src.items.schemas import ItemStatus class Item(Base): __tablename__ = "items" id: Mapped[int] = mapped_column(primary_key=True) name: Mapped[str] = mapped_column(String(100)) description: Mapped[str | None] = mapped_column(String(500), nullable=True) price: Mapped[float] = mapped_column(Float) status: Mapped[ItemStatus] = mapped_column( SQLEnum(ItemStatus), default=ItemStatus.DRAFT ) created_at: Mapped[datetime] = mapped_column( DateTime, default=datetime.utcnow ) ``` ### Database Setup (Async SQLAlchemy 2.0) ```python # src/database.py from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker from sqlalchemy.orm import DeclarativeBase DATABASE_URL = "sqlite+aiosqlite:///./database.db" engine = create_async_engine(DATABASE_URL, echo=True) async_session = async_sessionmaker(engine, expire_on_commit=False) class Base(DeclarativeBase): pass async def get_db(): async with async_session() as session: try: yield session await session.commit() except Exception: await session.rollback() raise ``` ### Router Pattern ```python # src/items/router.py from fastapi import APIRouter, Depends, HTTPException, status from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy import select from src.database import get_db from src.items import schemas, models router = APIRouter(prefix="/items", tags=["items"]) @router.get("", response_model=list[schemas.ItemResponse]) async def list_items( skip: int = 0, limit: int = 100, db: AsyncSession = Depends(get_db) ): result = await db.execute( select(models.Item).offset(skip).limit(limit) ) return result.scalars().all() @router.get("/{item_id}", response_model=schemas.ItemResponse) async def get_item(item_id: int, db: AsyncSession = Depends(get_db)): result = await db.execute( select(models.Item).where(models.Item.id == item_id) ) item = result.scalar_one_or_none() if not item: raise HTTPException(status_code=404, detail="Item not found") return item @router.post("", response_model=schemas.ItemResponse, status_code=status.HTTP_201_CREATED) async def create_item( item_in: schemas.ItemCreate, db: AsyncSession = Depends(get_db) ): item = models.Item(**item_in.model_dump()) db.add(item) await db.commit() await db.refresh(item) return item ``` ### Main App ```python # src/main.py from contextlib import asynccontextmanager from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware from src.database import engine, Base from src.items.router import router as items_router from src.auth.router import router as auth_router @asynccontextmanager async def lifespan(app: FastAPI): # Startup: Create tables async with engine.begin() as conn: await conn.run_sync(Base.metadata.create_all) yield # Shutdown: cleanup if needed app = FastAPI(title="My API", lifespan=lifespan) # CORS middleware app.add_middleware( CORSMiddleware, allow_origins=["http://localhost:3000"], # Your frontend allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) # Include routers app.include_router(auth_router) app.include_router(items_router) ``` --- ## JWT Authentication ### Auth Schemas ```python # src/auth/schemas.py from pydantic import BaseModel, EmailStr class UserCreate(BaseModel): email: EmailStr password: str class UserResponse(BaseModel): id: int email: str model_config = ConfigDict(from_attributes=True) class Token(BaseModel): access_token: str token_type: str = "bearer" class TokenData(BaseModel): user_id: int | None = None ``` ### Auth Service ```python # src/auth/service.py from datetime import datetime, timedelta from jose import JWTError, jwt from passlib.context import CryptContext from src.config import settings pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") def hash_password(password: str) -> str: return pwd_context.hash(password) def verify_password(plain: str, hashed: str) -> bool: return pwd_context.verify(plain, hashed) def create_access_token(data: dict, expires_delta: timedelta | None = None) -> str: to_encode = data.copy() expire = datetime.utcnow() + (expires_delta or timedelta(minutes=15)) to_encode.update({"exp": expire}) return jwt.encode(to_encode, settings.SECRET_KEY, algorithm="HS256") def decode_token(token: str) -> dict | None: try: return jwt.decode(token, settings.SECRET_KEY, algorithms=["HS256"]) except JWTError: return None ``` ### Auth Dependencies ```python # src/auth/dependencies.py from fastapi import Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy import select from src.database import get_db from src.auth import service, models, schemas oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/auth/login") async def get_current_user( token: str = Depends(oauth2_scheme), db: AsyncSession = Depends(get_db) ) -> models.User: credentials_exception = HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, detail="Could not validate credentials", headers={"WWW-Authenticate": "Bearer"}, ) payload = service.decode_token(token) if payload is None: raise credentials_exception user_id = payload.get("sub") if user_id is None: raise credentials_exception result = await db.execute( select(models.User).where(models.User.id == int(user_id)) ) user = result.scalar_one_or_none() if user is None: raise credentials_exception return user ``` ### Auth Router ```python # src/auth/router.py from fastapi import APIRouter, Depends, HTTPException, status from fastapi.security import OAuth2PasswordRequestForm from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy import select from src.database import get_db from src.auth import schemas, models, service from src.auth.dependencies import get_current_user router = APIRouter(prefix="/auth", tags=["auth"]) @router.post("/register", response_model=schemas.UserResponse) async def register( user_in: schemas.UserCreate, db: AsyncSession = Depends(get_db) ): # Check existing result = await db.execute( select(models.User).where(models.User.email == user_in.email) ) if result.scalar_one_or_none(): raise HTTPException(status_code=400, detail="Email already registered") user = models.User( email=user_in.email, hashed_password=service.hash_password(user_in.password) ) db.add(user) await db.commit() await db.refresh(user) return user @router.post("/login", response_model=schemas.Token) async def login( form_data: OAuth2PasswordRequestForm = Depends(), db: AsyncSession = Depends(get_db) ): result = await db.execute( select(models.User).where(models.User.email == form_data.username) ) user = result.scalar_one_or_none() if not user or not service.verify_password(form_data.password, user.hashed_password): raise HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, detail="Incorrect email or password" ) access_token = service.create_access_token(data={"sub": str(user.id)}) return schemas.Token(access_token=access_token) @router.get("/me", response_model=schemas.UserResponse) async def get_me(current_user: models.User = Depends(get_current_user)): return current_user ``` ### Protect Routes ```python # In any router from src.auth.dependencies import get_current_user from src.auth.models import User @router.post("/items") async def create_item( item_in: schemas.ItemCreate, current_user: User = Depends(get_current_user), # Requires auth db: AsyncSession = Depends(get_db) ): item = models.Item(**item_in.model_dump(), user_id=current_user.id) # ... ``` --- ## Configuration ```python # src/config.py from pydantic_settings import BaseSettings class Settings(BaseSettings): DATABASE_URL: str = "sqlite+aiosqlite:///./database.db" SECRET_KEY: str = "your-secret-key-change-in-production" ACCESS_TOKEN_EXPIRE_MINUTES: int = 30 class Config: env_file = ".env" settings = Settings() ``` Create `.env`: ``` DATABASE_URL=sqlite+aiosqlite:///./database.db SECRET_KEY=your-super-secret-key-here ACCESS_TOKEN_EXPIRE_MINUTES=30 ``` --- ## Critical Rules ### Always Do 1. **Separate Pydantic schemas from SQLAlchemy models** - Different jobs, different files 2. **Use async for I/O operations** - Database, HTTP calls, file access 3. **Validate with Pydantic Field()** - Constraints, defaults, descriptions 4. **Use dependency injection** - `Depends()` for database, auth, validation 5. **Return proper status codes** - 201 for create, 204 for delete, etc. ### Never Do 1. **Never use blocking calls in async routes** - No `time.sleep()`, use `asyncio.sleep()` 2. **Never put business logic in routes** - Use service layer 3. **Never hardcode secrets** - Use environment variables 4. **Never skip validation** - Always use Pydantic schemas 5. **Never use `*` in CORS origins for production** - Specify exact origins --- ## Known Issues Prevention This skill prevents **7** documented issues from official FastAPI GitHub and release notes. ### Issue #1: Form Data Loses Field Set Metadata **Error**: `model.model_fields_set` includes default values when using `Form()` **Source**: [GitHub Issue #13399](https://github.com/fastapi/fastapi/issues/13399) **Why It Happens**: Form data parsing preloads default values and passes them to the validator, making it impossible to distinguish between fields explicitly set by the user and fields using defaults. This bug ONLY affects Form data, not JSON body data. **Prevention**: ```python # ✗ AVOID: Pydantic model with Form when you need field_set metadata from typing import Annotated from fastapi import Form @app.post("/form") async def endpoint(model: Annotated[MyModel, Form()]): fields = model.model_fields_set # Unreliable! ❌ # ✓ USE: Individual form fields or JSON body instead @app.post("/form-individual") async def endpoint( field_1: Annotated[bool, Form()] = True, field_2: Annotated[str | None, Form()] = None ): # You know exactly what was provided ✓ # ✓ OR: Use JSON body when metadata matters @app.post("/json") async def endpoint(model: MyModel): fields = model.model_fields_set # Works correctly ✓ ``` ### Issue #2: BackgroundTasks Silently Overwritten by Custom Response **Error**: Background tasks added via `BackgroundTasks` dependency don't run **Source**: [GitHub Issue #11215](https://github.com/fastapi/fastapi/issues/11215) **Why It Happens**: When you return a custom `Response` with a `background` parameter, it overwrites all tasks added to the injected `BackgroundTasks` dependency. This is not documented and causes silent failures. **Prevention**: ```python # ✗ WRONG: Mixing both mechanisms from fastapi import BackgroundTasks from starlette.responses import Response, BackgroundTask @app.get("/") async def endpoint(tasks: BackgroundTasks): tasks.add_task(send_email) # This will be lost! ❌ return Response( content="Done", background=BackgroundTask(log_event) # Only this runs ) # ✓ RIGHT: Use only BackgroundTasks dependency @app.get("/") async def endpoint(tasks: BackgroundTasks): tasks.add_task(send_email) tasks.add_task(log_event) return {"status": "done"} # All tasks run ✓ # ✓ OR: Use only Response background (but can't inject dependencies) @app.get("/") async def endpoint(): return Response( content="Done", background=BackgroundTask(log_event) ) ``` **Rule**: Pick ONE mechanism and stick with it. Don't mix injected `BackgroundTasks` with `Response(background=...)`. ### Issue #3: Optional Form Fields Break with TestClient (Regression) **Error**: `422: "Input should be 'abc' or 'def'"` for optional Literal fields **Source**: [GitHub Issue #12245](https://github.com/fastapi/fastapi/issues/12245) **Why It Happens**: Starting in FastAPI 0.114.0, optional form fields with `Literal` types fail validation when passed `None` via TestClient. Worked in 0.113.0. **Prevention**: ```python from typing import Annotated, Literal, Optional from fastapi import Form from fastapi.testclient import TestClient # ✗ PROBLEMATIC: Optional Literal with Form (breaks in 0.114.0+) @app.post("/") async def endpoint( attribute: Annotated[Optional[Literal["abc", "def"]], Form()] ): return {"attribute": attribute} client = TestClient(app) data = {"attribute": None} # or omit the field response = client.post("/", data=data) # Returns 422 ❌ # ✓ WORKAROUND 1: Don't pass None explicitly, omit the field data = {} # Omit instead of None response = client.post("/", data=data) # Works ✓ # ✓ WORKAROUND 2: Avoid Literal types with optional form fields @app.post("/") async def endpoint(attribute: Annotated[str | None, Form()] = None): # Validate in application logic instead if attribute and attribute not in ["abc", "def"]: raise HTTPException(400, "Invalid attribute") ``` ### Issue #4: Pydantic Json Type Doesn't Work with Form Data **Error**: `"JSON object must be str, bytes or bytearray"` **Source**: [GitHub Issue #10997](https://github.com/fastapi/fastapi/issues/10997) **Why It Happens**: Using Pydantic's `Json` type directly with `Form()` fails. You must accept the field as `str` and parse manually. **Prevention**: ```python from typing import Annotated from fastapi import Form from pydantic import Json, BaseModel # ✗ WRONG: Json type directly with Form @app.post("/broken") async def broken(json_list: Annotated[Json[list[str]], Form()]) -> list[str]: return json_list # Returns 422 ❌ # ✓ RIGHT: Accept as str, parse with Pydantic class JsonListModel(BaseModel): json_list: Json[list[str]] @app.post("/working") async def working(json_list: Annotated[str, Form()]) -> list[str]: model = JsonListModel(json_list=json_list) # Pydantic parses here return model.json_list # Works ✓ ``` ### Issue #5: Annotated with ForwardRef Breaks OpenAPI Generation **Error**: Missing or incorrect OpenAPI schema for dependency types **Source**: [GitHub Issue #13056](https://github.com/fastapi/fastapi/issues/13056) **Why It Happens**: When using `Annotated` with `Depends()` and a forward reference (from `__future__ import annotations`), OpenAPI schema generation fails or produces incorrect schemas. **Prevention**: ```python # ✗ PROBLEMATIC: Forward reference with Depends from __future__ import annotations from dataclasses import dataclass from typing import Annotated from fastapi import Depends, FastAPI app = FastAPI() def get_potato() -> Potato: # Forward reference return Potato(color='red', size=10) @app.get('/') async def read_root(potato: Annotated[Potato, Depends(get_potato)]): return {'Hello': 'World'} # OpenAPI schema doesn't include Potato definition correctly ❌ @dataclass class Potato: color: str size: int # ✓ WORKAROUND 1: Don't use __future__ annotations in route files # Remove: from __future__ import annotations # ✓ WORKAROUND 2: Use string literals for type hints def get_potato() -> "Potato": return Potato(color='red', size=10) # ✓ WORKAROUND 3: Define classes before they're used in dependencies @dataclass class Potato: color: str size: int def get_potato() -> Potato: # Now works ✓ return Potato(color='red', size=10) ``` ### Issue #6: Pydantic v2 Path Parameter Union Type Breaking Change **Error**: Path parameters with `int | str` always parse as `str` in Pydantic v2 **Source**: [GitHub Issue #11251](https://github.com/fastapi/fastapi/issues/11251) | Community-sourced **Why It Happens**: Major breaking change when migrating from Pydantic v1 to v2. Union types with `str` in path/query parameters now always parse as `str` (worked correctly in v1). **Prevention**: ```python from uuid import UUID # ✗ PROBLEMATIC: Union with str in path parameter @app.get("/int/{path}") async def int_path(path: int | str): return str(type(path)) # Pydantic v1: returns for "123" # Pydantic v2: returns for "123" ❌ @app.get("/uuid/{path}") async def uuid_path(path: UUID | str): return str(type(path)) # Pydantic v1: returns for valid UUID # Pydantic v2: returns ❌ # ✓ RIGHT: Avoid union types with str in path/query parameters @app.get("/int/{path}") async def int_path(path: int): return str(type(path)) # Works correctly ✓ # ✓ ALTERNATIVE: Use validators if type coercion needed from pydantic import field_validator class PathParams(BaseModel): path: int | str @field_validator('path') def coerce_to_int(cls, v): if isinstance(v, str) and v.isdigit(): return int(v) return v ``` ### Issue #7: ValueError in field_validator Returns 500 Instead of 422 **Error**: `500 Internal Server Error` when raising `ValueError` in custom validators **Source**: [GitHub Discussion #10779](https://github.com/fastapi/fastapi/discussions/10779) | Community-sourced **Why It Happens**: When raising `ValueError` inside a Pydantic `@field_validator` with Form fields, FastAPI returns 500 Internal Server Error instead of the expected 422 Unprocessable Entity validation error. **Prevention**: ```python from typing import Annotated from fastapi import Form from pydantic import BaseModel, field_validator, ValidationError, Field # ✗ WRONG: ValueError in validator class MyForm(BaseModel): value: int @field_validator('value') def validate_value(cls, v): if v < 0: raise ValueError("Value must be positive") # Returns 500! ❌ return v # ✓ RIGHT 1: Raise ValidationError instead class MyForm(BaseModel): value: int @field_validator('value') def validate_value(cls, v): if v < 0: raise ValidationError("Value must be positive") # Returns 422 ✓ return v # ✓ RIGHT 2: Use Pydantic's built-in constraints class MyForm(BaseModel): value: Annotated[int, Field(gt=0)] # Built-in validation, returns 422 ✓ ``` --- ## Common Errors & Fixes ### 422 Unprocessable Entity **Cause**: Request body doesn't match Pydantic schema **Debug**: 1. Check `/docs` endpoint - test there first 2. Verify JSON structure matches schema 3. Check required vs optional fields **Fix**: Add custom validation error handler: ```python from fastapi.exceptions import RequestValidationError from fastapi.responses import JSONResponse @app.exception_handler(RequestValidationError) async def validation_exception_handler(request, exc): return JSONResponse( status_code=422, content={"detail": exc.errors(), "body": exc.body} ) ``` ### CORS Errors **Cause**: Missing or misconfigured CORS middleware **Fix**: ```python app.add_middleware( CORSMiddleware, allow_origins=["http://localhost:3000"], # Not "*" in production allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) ``` ### Async Blocking Event Loop **Cause**: Blocking call in async route (e.g., `time.sleep()`, sync database client, CPU-bound operations) **Symptoms** (production-scale): - Throughput plateaus far earlier than expected - Latency "balloons" as concurrency increases - Request pattern looks almost serial under load - Requests queue indefinitely when event loop is saturated - Small scattered blocking calls that aren't obvious (not infinite loops) **Fix**: Use async alternatives: ```python # ✗ WRONG: Blocks event loop import time from sqlalchemy import create_engine # Sync client @app.get("/users") async def get_users(): time.sleep(0.1) # Even small blocking adds up at scale! result = sync_db_client.query("SELECT * FROM users") # Blocks! return result # ✓ RIGHT 1: Use async database driver from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy import select @app.get("/users") async def get_users(db: AsyncSession = Depends(get_db)): await asyncio.sleep(0.1) # Non-blocking result = await db.execute(select(User)) return result.scalars().all() # ✓ RIGHT 2: Use def (not async def) for CPU-bound routes # FastAPI runs def routes in thread pool automatically @app.get("/cpu-heavy") def cpu_heavy_task(): # Note: def not async def return expensive_cpu_work() # Runs in thread pool ✓ # ✓ RIGHT 3: Use run_in_executor for blocking calls in async routes import asyncio from concurrent.futures import ThreadPoolExecutor executor = ThreadPoolExecutor() @app.get("/mixed") async def mixed_task(): # Run blocking function in thread pool result = await asyncio.get_event_loop().run_in_executor( executor, blocking_function # Your blocking function ) return result ``` **Sources**: [Production Case Study (Jan 2026)](https://www.techbuddies.io/2026/01/10/case-study-fixing-fastapi-event-loop-blocking-in-a-high-traffic-api/) | Community-sourced ### "Field required" for Optional Fields **Cause**: Using `Optional[str]` without default **Fix**: ```python # Wrong description: Optional[str] # Still required! # Right description: str | None = None # Optional with default ``` --- ## Testing ```python # tests/test_main.py import pytest from httpx import AsyncClient, ASGITransport from src.main import app @pytest.fixture async def client(): async with AsyncClient( transport=ASGITransport(app=app), base_url="http://test" ) as ac: yield ac @pytest.mark.asyncio async def test_root(client): response = await client.get("/") assert response.status_code == 200 @pytest.mark.asyncio async def test_create_item(client): response = await client.post( "/items", json={"name": "Test", "price": 9.99} ) assert response.status_code == 201 assert response.json()["name"] == "Test" ``` Run: `uv run pytest` --- ## Deployment ### Uvicorn (Development) ```bash uv run fastapi dev src/main.py ``` ### Uvicorn (Production) ```bash uv run uvicorn src.main:app --host 0.0.0.0 --port 8000 ``` ### Gunicorn + Uvicorn (Production with workers) ```bash uv add gunicorn uv run gunicorn src.main:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000 ``` ### Docker ```dockerfile FROM python:3.12-slim WORKDIR /app COPY . . RUN pip install uv && uv sync EXPOSE 8000 CMD ["uv", "run", "uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8000"] ``` --- ## References - [FastAPI Documentation](https://fastapi.tiangolo.com/) - [FastAPI Best Practices](https://github.com/zhanymkanov/fastapi-best-practices) - [Pydantic v2 Documentation](https://docs.pydantic.dev/) - [SQLAlchemy 2.0 Async](https://docs.sqlalchemy.org/en/20/orm/extensions/asyncio.html) - [uv Package Manager](https://docs.astral.sh/uv/) --- **Last verified**: 2026-01-21 | **Skill version**: 1.1.0 | **Changes**: Added 7 known issues (form data bugs, background tasks, Pydantic v2 migration gotchas), expanded async blocking guidance with production patterns **Maintainer**: Jezweb | jeremy@jezweb.net