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Prompt caching lets developers reuse repeated prompt segments across requests, reducing latency and token costs for Anthropic and OpenAI models. The technique caches static content like system instructions and tool schemas, avoiding reprocessing on every call. This optimization is critical for production AI systems handling thousands of daily requests.
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