AWS Machine Learning Blog
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- AWS Explores Prompt Caching Patterns for AI Agents on Bedrock
The AWS Machine Learning Blog explains how Amazon Bedrock prompt caching can reuse previously processed context, including instructions, tool definitions, and conversation history, instead of resending the full context on every agent step. The guide covers implicit and explicit cache breakpoints, stable prefixes, additional tools, cache eligibility, and write costs. In one six-turn workload, AWS reported about 62% lower input cost with implicit caching and about 61% with explicit rolling breakpoints on GPT-6 Astra, while cautioning that results vary by workflow.
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