AI智能体评估生产蓝图:Strands与AgentCore实践

Evaluating AI Agents: A production blueprint with Strands and AgentCore

精选理由

AWS和Motorway分享的智能体评估流水线,错误率从1/8降到1/50,检测时间从小时级到分钟级,照着就能用。

AI 摘要

Motorway与AWS合作构建了端到端AI智能体评估流水线,将错误率从每8次查询1次错误降至每50次查询1次错误。问题检测时间从数小时缩短至数分钟。该流水线整合了Strands Agents SDK和Amazon Bedrock AgentCore托管服务。文章详细说明如何为自有智能体搭建此类评估流水线。

图片来源 · AWS Machine Learning Blog
原文 · AWS Machine Learning Blog

Evaluating AI Agents: A production blueprint with Strands and AgentCore

Together, Motorway and AWS built an end-to-end evaluation pipeline that reduced incorrect results from 1 in 8 queries to 1 in 50 and cut issue detection time from few hours to few minutes. The pipeline combines the Strands Agents SDK with Amazon Bedrock AgentCore, a fully managed service for deploying and operating AI agents at scale. In this post, you will learn how to build this pipeline for your own agents.