fastapi

A set of conventions for FastAPI, a Python framework for building web APIs, including input validation and response handling.

In plain words
What is it for?
Use it when creating FastAPI endpoints with request models, response models, route groups, shared dependencies, background tasks, and status codes.
Why use it?
It helps keep API endpoints consistently typed, validated, organized, and clear about their HTTP responses.

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/wangtingyeye/llm-agent-study/fastapi
Clone the repo
git clone --depth 1 https://github.com/WangTingYeYe/llm-agent-study

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 183 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 $0.00183
Opus 5 $0.00000 $0.00092
Sonnet 5 $0.00000 $0.00037
Haiku 4.5 $0.00000 $0.00018

Measured yesterday against content hash 200126051d14, 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.

.cursor/rules/frameworks/fastapi.mdc · 21 lines

What it actually says


description: 该规则解释了 FastAPI 高性能 Python API 的约定和最佳实践。 globs: **/*.py alwaysApply: false

FastAPI 规则

  • 为所有函数参数和返回值使用类型提示
  • 使用 Pydantic 模型进行请求和响应验证
  • 在路径操作装饰器中使用适当的 HTTP 方法(@app.get、@app.post 等)
  • 使用依赖注入实现共享逻辑,如数据库连接和身份验证
  • 使用后台任务(background tasks)进行非阻塞操作
  • 使用适当的状态码进行响应(201 表示创建,404 表示未找到等)
  • 使用 APIRouter 按功能或资源组织路由
  • 适当使用路径参数、查询参数和请求体
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 · 21 lines · 0 tokens per session scan A 200126051d14

Subscribe to this mod's changes

fastapi is a cursor rule published in the GitHub repository WangTingYeYe/llm-agent-study (4 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 183 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 2026-08-31.