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AWS 示範以 AgentCore Evaluations 檢驗供應鏈多代理系統
AWS 以虛構零售商 AnyCompany Retail 為例，展示一套由協調代理與四個專責代理組成的供應鏈決策系統，並說明如何用 Amazon Bedrock AgentCore Evaluations 評估代理的準確度、任務成效與可解釋性。
完整報導
AWS 最新技術示範聚焦於如何評估多代理系統在真實情境中的準確度、任務成效與可解釋性。示範以虛構的跨國零售商 AnyCompany Retail 為例，設定庫存配置、配送調整、庫存健康分析，以及路線或履約模擬等需求。Amazon Bedrock AgentCore Evaluations 已於 2026 年 3 月 31 日正式推出；AWS 將其描述為可在開發與正式環境評估代理表現的全託管功能。
示範架構以 Strands Agents SDK、Amazon Bedrock AgentCore MCP Server 和 Amazon Bedrock AgentCore Evaluations 建置，包含一個協調代理及四個專責代理，分別處理最佳化、配送、路線與分析。協調代理接收規劃者的請求，再把工作交由以工具形式提供功能的專責代理處理。每個代理都在 Amazon Bedrock AgentCore runtime 上執行，並啟用 AgentCore memory 與 observability；代理迴圈則使用 Amazon Bedrock 上的基礎模型。
各代理也連接不同類型的工具：最佳化代理透過 MCP 工具呼叫模擬 Amazon API Gateway REST 介面；配送代理使用建議 API 提出庫存調撥方案；路線代理透過物流 API 取得承運商與路線建議；分析代理則回答供應鏈診斷問題。AWS 將 AgentCore Evaluations 定位為可檢視代理品質的方式，並把它與 Amazon Bedrock Guardrails 區分：前者評估執行後的代理品質，後者在執行期間施加安全限制。Guardrails 的設定項目包括內容過濾、拒絕主題偵測與 grounding 驗證。
為什麼值得注意
多代理工作流程會經過工具選擇、工作分派與多個專責步驟；AWS 的示範把這些環節放進同一個供應鏈案例中檢視。它也清楚區分了品質評估與執行中的安全限制，讓讀者能分辨兩者在代理系統中的不同用途。
來源證據
先看主要證據，再查看佐證來源與來源脈絡。
主要證據
1Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore
Kanishk Mahajan
“Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-based multi-agent supply chain decisioning system and evaluate it with Amazon Bedrock AgentCore Evaluations using built-in, custom, and explainability evaluators.”
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