OpenRouter Caching Strategy
Optimizes OpenRouter API performance and reduces costs by implementing intelligent caching layers for LLM responses.
This skill provides a comprehensive framework for implementing robust caching strategies within the OpenRouter ecosystem, allowing developers to significantly lower API expenses and decrease response latency. It covers multiple implementation patterns, including local in-memory caches for single-instance apps, persistent Redis-based storage for distributed systems, and the utilization of Anthropic's native prompt caching via the OpenRouter gateway. By focusing on deterministic request handling and efficient context management, this skill is essential for building high-scale RAG systems or LLM-powered applications where identical queries or large static contexts are frequently processed.