FastAPI Caching

Implement Redis caching patterns for FastAPI applications with decorators and middleware.

18|2|Updated Dec 12, 2025
One-click install
npx skills add https://github.com/markus41/claude --skill fastapi-caching
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: FastAPI Caching
Source: https://github.com/markus41/claude/tree/main/plugins/fastapi-backend/skills/fastapi-caching
Command: npx skills add https://github.com/markus41/claude --skill fastapi-caching

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the performance bottlenecks in FastAPI applications by implementing efficient caching strategies using Redis, reducing database load and improving response times.

Core Features & Use Cases

  • Redis Client Setup: Provides a robust RedisCache class for connecting, retrieving, setting, and deleting cached data.
  • Cache Decorator: Enables easy caching of asynchronous function results with customizable keys and expiration times.
  • Response Caching Middleware: Caches entire HTTP responses for GET requests to further optimize API performance.
  • Cache Patterns: Demonstrates Cache-Aside, Write-Through, and invalidation patterns for effective data management.
  • Use Case: Implement Redis caching for frequently accessed user data in a FastAPI backend to significantly speed up read operations and reduce the load on your primary database.

Quick Start

Integrate the provided Redis client setup and cache decorator into your FastAPI application to start caching API responses.

Frequently Asked Questions about FastAPI Caching

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

FAQPage Schema
How do I implement Redis caching in FastAPI to reduce database load?

Set up response caching in FastAPI by applying caching middleware to cache entire HTTP responses for GET requests. This optimizes API performance by serving cached responses directly, significantly reducing database load and accelerating data retrieval.

What is the best way to cache API responses in FastAPI using Redis?

The best way to cache API responses in FastAPI is using response caching middleware for GET requests alongside a cache decorator for async functions. This combination optimizes performance by reducing database load and accelerating data retrieval.

Can I use a cache decorator for asynchronous functions in FastAPI?

Yes, you can use a cache decorator for asynchronous functions in FastAPI. The decorator enables easy caching of async function results with customizable keys and expiration times to optimize API performance.

What caching patterns can I use for FastAPI performance optimization?

For FastAPI performance optimization, you can use Cache-Aside, Write-Through, and invalidation patterns. These caching patterns provide effective data management by reducing database load and accelerating data retrieval.

Does FastAPI caching support both Cache-Aside and Write-Through patterns?

Yes, FastAPI caching supports both Cache-Aside and Write-Through patterns. It provides production-ready caching patterns that include examples for effective data management and invalidation to optimize API performance.

When do I need Redis for web development in FastAPI?

You need Redis for web development in FastAPI when facing performance bottlenecks. Implementing efficient caching strategies using Redis reduces database load and improves response times for frequently accessed data.