AIIC AI Intelligence Centre

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Optimizing cost and latency with Amazon Bedrock prompt caching

AWS Artificial Intelligence Blog · article · Sep 15, 2026 · UTC

Prompt caching in Amazon Bedrock can cut input token costs by up to 90% when you repeatedly send the same context to foundation models. This post walks through six practical prompt caching scenarios using the Converse API: message content, system prompt, tool definition, mixed TTL, tenant isolation, and LangChain integration.

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Evidence & attribution

First collected: 2026-09-19T20:26:46.936Z. This is not the publication date.