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用 Strands Evals 与 Amazon Bedrock AgentCore 评估技能型智能体

原标题:Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore

AWS Machine Learning Blog一手来源产品发布质量 73

AI 摘要

AWS Machine Learning Blog 介绍了如何用 Strands Evals SDK 和 Amazon Bedrock AgentCore Evaluations 评估具备技能(Skill)的智能体。技能是遵循开放 Agent Skills 标准的模块化指令集,可让智能体按需加载领域流程。文章指出技能组合会带来两类通用指标难以发现的失败:选错技能、以及选对技能但未完整遵循其指令,因此新增 Skill Selection Accuracy、Skill Instruction Following 和确定性的 Skill Invoked 三个评估器,并说明如何从轨迹和 OpenTelemetry 追踪中解读逐技能结果以选择修复方向。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore General-purpose agents handle a broad range of tasks, but you still need them to follow the procedures that run your business: compliance checks, document-processing workflows, escalation policies, engineering conventions. Encoding all of that in one system prompt or in application logic gets hard to maintain and update. Skills are a modular alternative. A skill is a reusable set of instructions, usually stored in a S


发布时间:2026-09-23 01:18
抓取时间:2026-09-23 01:35
来源机构:AWS
阅读原文aws.amazon.com