prompt-caching-patterns

What problem does it solve?

This Skill addresses the high cost and latency associated with repeated LLM API calls by implementing various caching strategies.

Core Features & Use Cases

• Reduce API Costs: Significantly lower expenses by reusing cached responses.
• Improve Latency: Speed up responses for frequently asked questions or reused prompts.
• Caching Strategies: Supports provider-level caching, response caching, semantic caching, and template caching.
• Use Case: Implement semantic caching to ensure that semantically similar user queries retrieve previously generated responses, drastically reducing redundant LLM calls and associated costs.

Quick Start

Implement prompt caching to reduce LLM API costs by using the provided TypeScript examples for response caching.