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AWS publishes prompt caching patterns for OpenAI models on Amazon Bedrock

Learn how to use prompt caching on Amazon Bedrock with OpenAI models to cut input costs and maintain agent continuity.

AWS publishes prompt caching patterns for OpenAI models on Amazon Bedrock — image from AWS
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Summary

AI agents often re-read their full history on every turn. AWS outlines patterns for prompt caching on Amazon Bedrock using OpenAI models, combining implicit and explicit caching to reduce token costs and keep agents responsive across turns, tool changes, and subagents.

What changed

  • AWS details prompt caching patterns for OpenAI models on Amazon Bedrock.
  • Developers can use implicit caching, explicit caching, or both together.
  • Patterns cover handling tool changes, subagents, and task execution.

Availability

Available now

“These examples use your existing Amazon Bedrock client, TOOLS , and task .”

Founder takeaway

Review your agent loops and implement prompt caching on Amazon Bedrock to reduce repeated input token costs.

Source

AWSGroundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock | Amazon Web Services

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