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fastapi-templates

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

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name fastapi-templates description Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects. FastAPI Project Templates Production-ready FastAPI project structures with async patterns, dependency injection, middleware, and best practices for building high-performance APIs. When to Use This Skill Starting new FastAPI projects from scratch Implementing async REST APIs with Python Building high-performance web services and microservices Creating async applications with PostgreSQL, MongoDB Setting up API projects with proper structure and testing Core Concepts 1. Project Structure Recommended Layout: app/ ├── api/ # API routes │ ├── v1/ │ │ ├── endpoints/ │ │ │ ├── users.py │ │ │ ├── auth.py │ │ │ └── items.py │ │ └── router.py │ └── dependencies.py # Shared dependencies ├── core/ # Core configuration │ ├── config.py │ ├── security.py │ └── database.py ├── models/ # Database models │ ├── user.py │ └── item.py ├── schemas/ # Pydantic schemas │ ├── user.py │ └── item.py ├── services/ # Business logic │ ├── user_service.py │ └── auth_service.py ├── repositories/ # Data access │ ├── user_repository.py │ └── item_repository.py └── main.py # Application entry 2. Dependency Injection FastAPI's built-in DI system using Depends : Database session management Authentication/authorization Shared business logic Configuration injection 3. Async Patterns Proper async/await usage: Async route handlers Async database operations Async background tasks Async middleware Detailed worked examples and patterns Detailed sections (starting with ## Implementation Patterns ) live in references/details.md . Read that file when the navigation summary above is insufficient. Testing # tests/conftest.py import pytest import asyncio from httpx import AsyncClient from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession from sqlalchemy.orm import sessionmaker from app.main import app from app.core.database import get_db, Base TEST_DATABASE_URL = "sqlite+aiosqlite:///:memory:" @pytest.fixture( scope= "session" ) def event_loop (): loop = asyncio.get_event_loop_policy().new_event_loop() yield loop loop.close() @pytest.fixture async def db_session (): engine = create_async_engine(TEST_DATABASE_URL, echo= True ) async with engine.begin() as conn: await conn.run_sync(Base.metadata.create_all) AsyncSessionLocal = sessionmaker( engine, class_=AsyncSession, expire_on_commit= False ) async with AsyncSessionLocal() as session: yield session @pytest.fixture async def client ( db_session ): async def override_get_db (): yield db_session app.dependency_overrides[get_db] = override_get_db async with AsyncClient(app=app, base_url= "http://test" ) as client: yield client # tests/test_users.py import pytest @pytest.mark.asyncio async def test_create_user ( client ): response = await client.post( "/api/v1/users/" , json={ "email" : "test@example.com" , "password" : "testpass123" , "name" : "Test User" } ) assert response.status_code == 201 data = response.json() assert data[ "email" ] == "test@example.com" assert "id" in data
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model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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