Prompt Caching in LLMs: Cut the Cost and Latency of Your AI Application
Learn how prompt caching works in the Anthropic, OpenAI, and Gemini APIs: what the cacheable prefix is, how to order your prompt to maximize hits, breakpoints with cache_control, TTLs and pricing, and the mistakes that silently invalidate the cache. With production-ready Python code and metrics to measure your hit rate.
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