python-fastapi

A set of development rules for building FastAPI web services in Python, including request validation with Pydantic version 2, routing, database access, authentication, asynchronous code, and dependency injection.

In plain words
What is it for?
Use it when creating or maintaining FastAPI routes, data models, user authentication, database-backed services, and project folders.
Why use it?
It gives a consistent way to organize FastAPI projects and handle common concerns such as validating input, checking users, and paginating results.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/awesome-ai-dev/awesome-ai-dev/python-fastapi
Clone the repo
git clone --depth 1 https://github.com/awesome-ai-dev/awesome-ai-dev

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 590 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00590
Opus 5 $0.00000 $0.00295
Sonnet 5 $0.00000 $0.00118
Haiku 4.5 $0.00000 $0.00059

Measured 2d ago against content hash 507fac98add6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-fastapi scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/python-fastapi.mdc · 108 lines

What it actually says

FastAPI 开发规范

Pydantic v2

类型提示

from pydantic import BaseModel, EmailStr, Field

class User(BaseModel):
    id: int = Field(default=None, frozen=True)
    name: str = Field(min_length=2, max_length=50)
    email: EmailStr
    role: str = 'user'
    
    model_config = {'str_strip_whitespace': True}

验证器

from pydantic import field_validator

class User(BaseModel):
    password: str
    
    @field_validator('password')
    @classmethod
    def validate_password(cls, v: str) -> str:
        if len(v) < 8:
            raise ValueError('密码至少8位')
        return v

依赖注入

from fastapi import Depends, Request

async def get_current_user(request: Request, token: str = Depends(oauth2_scheme)):
    return await verify_token(token)

@app.get('/users/me')
async def read_users(current_user = Depends(get_current_user)):
    return current_user

项目结构

app/
├── api/
├── models/
├── schemas/
├── services/
└── main.py

路由

from fastapi import APIRouter, Depends, Query

router = APIRouter()

@router.get('/users')
async def get_users(
    page: int = Query(1, ge=1),
    page_size: int = Query(10, le=100),
    current_user = Depends(get_current_user)
):
    offset = (page - 1) * page_size
    users = await db.query(User).offset(offset).limit(page_size).all()
    return {'data': users, 'page': page}

数据库 (SQLAlchemy 2.0)

from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

class UserRepository:
    async def get_by_email(self, db: AsyncSession, email: str) -> User | None:
        result = await db.execute(
            select(User).where(User.email == email)
        )
        return result.scalar_one_or_none()

最佳实践

  1. 使用 Pydantic v2 验证
  2. 异步 SQLAlchemy 2.0
  3. 依赖注入管理数据库
  4. 统一错误响应

参考

  • 详细: .cursor/skills/code-review/references/
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 108 lines · 0 tokens per session scan A 507fac98add6

Subscribe to this mod's changes

python-fastapi is a cursor rule published in the GitHub repository awesome-ai-dev/awesome-ai-dev (11 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 590 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.