prompt-caching

What problem does it solve?

This Skill addresses the high cost and latency associated with frequent Large Language Model (LLM) calls by implementing effective caching strategies.

Core Features & Use Cases

• Multi-level Caching: Implements caching at prompt prefixes, full responses, and through semantic similarity.
• Optimized LLM Usage: Reduces LLM expenses and speeds up response times by reusing previous computations.
• Use Case: When dealing with repetitive user queries or common LLM tasks, this skill ensures that identical or semantically similar requests are served from cache, drastically cutting down on API calls and associated costs.

Quick Start

Use the prompt-caching skill to cache responses for common user queries.