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fastapi-python

Guides FastAPI backend development with async patterns, Pydantic validation, and error handling conventions.

Updated Sep 14, 2026
Search Tags:#pydantic#error handling#fastapi#python#backend#api development#async
One-click install
npx skills add https://github.com/desarrolloainia/nuevo_circuito_mir --skill fastapi-python-desarrolloainia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi-python
Source: https://github.com/desarrolloainia/nuevo_circuito_mir/tree/main/backend/.agents/skills/fastapi-python
Command: npx skills add https://github.com/desarrolloainia/nuevo_circuito_mir --skill fastapi-python-desarrolloainia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Writing consistent, maintainable FastAPI backends requires enforcing many conventions around async operations, type hints, error handling, and project structure. This Skill encodes those best practices so generated Python API code follows a uniform, production-oriented style. ## Core Features & Use Cases - FastAPI Coding Standards: Enforces type hints, Pydantic v2 models, dependency injection, and explicit route exports. - Async & Performance Guidance: Promotes async database calls, caching with Redis, and non-blocking I/O patterns. - Error Handling Patterns: Applies guard clauses, early returns, HTTPException modeling, and structured logging. - Use Case: Ask the assistant to scaffold a new user router with CRUD endpoints, and it will produce typed, async FastAPI code with Pydantic schemas and proper exception handling. ## Quick Start Ask the assistant to create a FastAPI router with async endpoints and Pydantic models for a resource in your project.

Frequently Asked Questions about fastapi-python

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

FAQPage Schema
How do I structure a FastAPI project with routers?▼

Structure FastAPI projects with exported routers, sub-routes, utilities, static content, and type definitions such as models and schemas. Use lowercase-with-underscores file names like routers/user_routes.py and export routes explicitly.

How to handle errors in FastAPI endpoints?▼

Handle errors in FastAPI using HTTPException for expected failures, modeled as specific HTTP responses. Apply guard clauses and early returns at function entry points, keep the happy path last, and add proper error logging with user-friendly messages.

Should I use async def for FastAPI database calls?▼

Yes, use async def for all database and external API calls to avoid blocking I/O. Pair it with async drivers like asyncpg or aiomysql and SQLAlchemy 2.0, and use plain def only for pure synchronous functions.

Does FastAPI support Pydantic v2 models for validation?▼

FastAPI works with Pydantic v2 BaseModel for input validation and serialization. Prefer Pydantic models over raw dictionaries, add type hints to all function signatures, and declare clear return type annotations on routes.

How do I manage startup and shutdown events in FastAPI?▼

Use lifespan context managers to manage FastAPI startup and shutdown events instead of deprecated event handlers. Combine this with middleware for logging, error monitoring, and performance optimization.

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