LLM Prompt Caching

This skill provides a comprehensive framework for managing LLM efficiency through sophisticated caching techniques. It focuses on Anthropic’s native prompt caching, Redis-backed response caching, and Cache Augmented Generation (CAG) to minimize latency and slash token costs by up to 90%. By providing implementation patterns for semantic similarity matching and cache invalidation, it ensures that your AI applications remain fast, cost-effective, and accurate even when dealing with large system prompts or frequently repeated queries.

主な機能

ユースケース