fastapi

A set of recommended practices for building FastAPI web APIs, including data validation, database access, authentication, documentation, and project structure. FastAPI is a Python framework for creating web APIs.

In plain words
What is it for?
Use it when creating or reviewing FastAPI projects with Pydantic v2, asynchronous database code, OAuth2 with JWT, and automatically generated OpenAPI documentation.
Why use it?
It gives a consistent way to organize an API and handle common concerns such as validating requests, connecting to databases, and securing access.

Cursor rule

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/renvia-code/best-cursor-rules/fastapi
Clone the repo
git clone --depth 1 https://github.com/Renvia-code/best-cursor-rules
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 2,132 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 $0.02132
Opus 5 $0.00000 $0.01066
Sonnet 5 $0.00000 $0.00426
Haiku 4.5 $0.00000 $0.00213

Measured yesterday against content hash e800ceaa2858, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

rules/backends/fastapi.mdc · 383 lines

How it starts

The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI Best Practices

Overview

Aspect Recommendation
Validation Pydantic v2
Database SQLAlchemy 2.0 async or asyncpg
Auth OAuth2 with JWT
Docs Auto-generated OpenAPI

Project Structure

app/
├── main.py              # FastAPI application
├── config.py            # Settings
├── database.py          # Database connection
├── dependencies.py      # Shared dependencies
├── models/              # SQLAlchemy models
│   ├── __init__.py
│   └── user.py
├── schemas/             # Pydantic schemas
│   ├── __init__.py
│   └── user.py
├── routers/             # API routes
│   ├── __init__.py
│   └── users.py
├── services/            # Business logic
│   └── user_service.py
└── utils/
    └── security.py

Application Setup

Main Application

# app/main.py
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager

from app.routers import users, posts
from app.database import init_db

@asynccontextmanager
async def lifespan(app: FastAPI):
    # Startup
    await init_db()
    yield
    # Shutdown
    # cleanup here

app = FastAPI(
    title="My API",
    version="1.0.0",
    lifespan=lifespan,
)

app.add_middleware(
    CORSMiddleware,
    allow_origins=["http://localhost:3000"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

app.include_router(users.router, prefix="/api/users", tags=["users"])
app.include_router(posts.router, prefix="/api/posts", tags=["posts"])

Configuration

# app/config.py
from pydantic_settings import BaseSettings
from functools import lru_cache

class Settings(BaseSettings):
    database_url: str
    secret_key: str
    algorithm: str = "HS256"
    access_token_expire_minutes: int = 30
    
    model_config = {"env_file": ".env"}

@lru_cache
def get_settings() -> Settings:
    return Settings()

Pydantic Schemas

Request/Response Models

Read the full file on GitHub · 383 lines

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. yesterday First seen · 383 lines · 0 tokens per session scan A e800ceaa2858

Subscribe to this mod's changes

fastapi is a cursor rule published in the GitHub repository Renvia-code/best-cursor-rules (12 stars, last pushed 9mo ago), licensed CC0-1.0. It costs nothing until one of its globs matches a file; then it loads 2,132 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.