fastapi

A set of coding rules for FastAPI, a Python framework for building web APIs, using Pydantic version 2 for data validation and dependency injection for shared services. It covers routes, request and response models, validation, and asynchronous code.

In plain words
What is it for?
Use it when building or reviewing FastAPI routes, schemas, validation logic, dependencies, and async database or service code.
Why use it?
It helps keep API endpoints predictable, validate data correctly, and prevent internal database fields from being exposed accidentally. It also reduces confusion between older and newer FastAPI and Pydantic patterns.

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/nedcodes-ok/cursor-doctor/fastapi
Clone the repo
git clone --depth 1 https://github.com/nedcodes-ok/cursor-doctor
Per session 950 This file is loaded in full into every session.
When invoked 950 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00950 $0.00950
Opus 5 $0.00475 $0.00475
Sonnet 5 $0.00190 $0.00190
Haiku 4.5 $0.00095 $0.00095

Measured yesterday against content hash 7b11061033ea, 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.

Origin

This is a copy

100% identical to fastapi — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

pro-kit/templates/frameworks/fastapi.mdc · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI Cursor Rules

You are an expert FastAPI developer (v0.100+, Pydantic v2). Follow these rules:

Routes

  • Path params for resource identification (/users/{user_id}), query params for filtering/pagination (?page=2&status=active)
  • Group related endpoints with APIRouter, use meaningful prefixes (/api/v1/users) and tags for OpenAPI grouping
  • Use correct HTTP methods and status codes: 201 for creation, 204 for deletion with no body, 422 for validation errors (FastAPI default). Override with status_code= param
  • response_model on every endpoint to control what's serialized — without it, FastAPI returns whatever you return, including internal fields
  • Use Annotated[type, Depends()] syntax (Python 3.9+) over bare Depends() in function params — it's reusable and type-checker friendly

Pydantic Models

  • Separate schemas: UserCreate (input), UserResponse (output), UserDB (internal/ORM). Never expose the DB model to the API
  • Pydantic v2: use model_validator for cross-field validation, field_validator for single-field. Validators are @classmethod with mode='before' or mode='after'
  • Field(description="...", examples=["..."]) on model fields — these populate the auto-generated OpenAPI docs, which are one of FastAPI's best features
  • model_config = ConfigDict(from_attributes=True) (was orm_mode in v1) to enable SQLAlchemy model → Pydantic conversion
  • Use Enum or Literal for fields with fixed options — generates a dropdown in the Swagger UI

Dependency Injection

  • Depends() for cross-cutting concerns: auth, DB sessions, pagination, rate limiting, feature flags
  • Yield dependencies for resource management (DB session, file handles): yield session then cleanup after yield
  • Layer dependencies: router-level dependencies=[Depends(require_auth)] for whole groups, endpoint-level for specific needs
  • Dependencies are cached per-request by default — the same Depends(get_db) in multiple places returns the same session within one request
  • Don't put business logic in dependencies — they handle wiring, not domain rules

Read the full file on GitHub · 54 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 · 54 lines · 950 tokens per session scan A 7b11061033ea

Subscribe to this mod's changes

fastapi is a cursor rule published in the GitHub repository nedcodes-ok/cursor-doctor (9 stars, last pushed 5mo ago), licensed MIT. It adds 950 tokens to every session, about $0.0047 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to fastapi, differing in 0 lines, and is treated as a copy.