fastapi-patterns

Apply FastAPI patterns with dependency injection, async routing, and Pydantic schemas.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill fastapi-patterns-weorbitant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-patterns
Source: https://github.com/weorbitant/compound-engineering-feat-python-plugin/tree/main/skills/fastapi-patterns
Command: npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill fastapi-patterns-weorbitant

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Patterns and conventions for building FastAPI applications. Follow the principle of explicit dependency injection, leverage async where it matters, and use Pydantic models as the single source of truth for request/response schemas.

Core Features & Use Cases

  • Dependency injection everywhere — Use Depends() for database sessions, auth, config, and shared logic instead of global state or imports.
  • Pydantic as contract — Define request and response models explicitly with Pydantic; avoid raw dicts in route signatures.
  • Async when beneficial — Use async def for I/O-bound routes with async drivers; use plain def for CPU-bound or sync-only code.
  • Router organization — Split routes into APIRouter modules by domain, compose them in the main app with prefixes and tags.

Quick Start

Apply FastAPI core patterns to implement a new route with explicit dependency injection, async handling, and Pydantic models.

Frequently Asked Questions about fastapi-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I organize FastAPI routes for a large application?

Organize FastAPI routes by splitting them into APIRouter modules by domain, then compose them in the main app with prefixes and tags. This structure maintains clear endpoint separation and scalable code organization across large projects.

What is the best way to handle FastAPI dependency injection?

The best way to handle FastAPI dependency injection is using Depends() explicitly for database sessions, auth, config, and shared logic. This avoids global state and ensures clear type contracts and maintainable endpoint wiring.

When should I use async def versus def in FastAPI routing?

Use async def in FastAPI routing for I/O-bound routes with async drivers, and use plain def for CPU-bound or sync-only code. Leveraging async where it matters ensures robust API performance without blocking the event loop.

How do Pydantic models work as request and response schemas in FastAPI?

Pydantic models act as the single source of truth for request and response schemas in FastAPI. Define these models explicitly and avoid raw dicts in route signatures to ensure OpenAPI-compatible schemas and clear type contracts.

Does this FastAPI patterns approach require specific project dependencies?

This approach applies to projects listing FastAPI in their dependencies. It enforces explicit dependency injection and Pydantic models to satisfy requirements for structured code organization and maintainable endpoints.

Why should I avoid global state in FastAPI applications?

Avoid global state in FastAPI applications to maintain explicit dependency injection and clear type contracts. Using Depends() for shared logic and configuration ensures your API endpoints remain robust, scalable, and maintainable.