用 Amazon Bedrock AgentCore 评估多智能体系统的可解释性与有用性
原标题：Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore
AI 摘要
AWS 在官方博客中介绍如何用 Amazon Bedrock AgentCore Evaluations 评估多智能体系统，重点覆盖可解释性与有用性。文章以虚构零售商 AnyCompany Retail 的供应链决策场景为例，用 Strands Agents SDK 构建一个编排智能体加四个子智能体的系统，并配合内置与自定义评估器衡量任务成功、约束满足、路由可行性和解释质量。方案支持按需与在线两种评估模式，分别用于开发基准测试和生产监控。
正文节选
Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore A critical challenge that emerges as multi-agent systems move from experimentation to production is making sure that these systems are consistently helpful, accurate, and explainable in real-world scenarios. Enterprises are increasingly adopting multi-agent systems to solve complex, real-world problems that require reasoning across data sources, tools, and business constraints. From supply chain plann