Event ·Official first-hand

在 Amazon Bedrock 上使用 Prompt 缓存优化 OpenAI 模型的智能体运行成本

智能体每执行一步都会重新读取完整上下文，包括工具定义、指令和历史记录，这带来重复的输入开销。AWS 官方博客介绍了在 Amazon Bedrock 上针对 OpenAI 模型配置 prompt 缓存的做法，让同一轮对话中不变的部分不必每次重发。文中给出了具体的缓存模式，用于降低输入 token 成本并减少延迟。

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智能体每跑一步都要重读全部上下文，这篇 AWS 博客教你在 Bedrock 上给 OpenAI 模型配 prompt 缓存，省钱又降延迟。

11 sources36° AI heatLast updated 2026/10/26 17:27:20

Evidence

11 sources

Primary sourceAWS Machine Learning Blog

2026/10/26 17:27:20View source

Related source 1Artificial Analysis

2026/10/26 18:11:02View source

Related source 2Rest of World

2026/10/24 20:00:08View source

Related source 3IT之家

2026/10/25 02:29:30View source

Related source 4Tibor Blaho

2026/10/25 14:39:35View source

Related source 5量子位

2026/10/26 06:38:15View source

Related source 6OpenAI Blog

2026/10/26 07:00:00View source

Related source 7DAIR.AI

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Related source 8@OpenAIDevs

2026/10/26 18:07:32View source

Related source 9Vaibhav Srivastav

2026/10/26 18:11:49View source

Related source 10TestingCatalog

2026/10/26 18:23:18View source

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