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Optimizing cost and latency with Amazon Bedrock prompt caching

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

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…

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  1. 2026-09-15 16:18 · AWS Machine Learning Blog
    Optimizing cost and latency with Amazon Bedrock prompt caching

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