prompt-caching

You can reduce Claude API latency and costs by implementing prompt caching mechanisms. This approach caches responses to prevent redundant computations, achieving up to 85% latency reduction and 90% cost savings for repetitive queries.

Ephemeral caching temporarily stores Claude API prompt responses to speed up subsequent requests. Cache breakpoints allow you to define specific points in the prompt for the cache to apply, optimizing performance for large context windows.

To cache a system prompt for batch processing, use the prompt-caching skill to set a configurable 1-hour TTL. This ensures the cached prompt persists for batch tasks, minimizing API expenses and response times.

Yes, prompt caching is ideal for RAG systems with large static documents. By caching the static portions of your prompts, you avoid redundant API computations and significantly lower operational costs.

You should avoid prompt caching when dealing with highly dynamic or non-repetitive queries. Since caching relies on repeated context, unique prompts will not benefit from cache hits and may add unnecessary overhead.