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AWS Releases Tutorial on Evaluating Multi-Agent Systems with AgentCore

1 reports 1 reporting sources 13 days ago updated

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On October 5, 2026, the AWS Machine Learning Blog published a tutorial demonstrating how to use Amazon Bedrock AgentCore Evaluations to assess the explainability and usefulness of multi-agent systems. The solution builds a multi-agent supply chain decision system based on Strands Agents SDK and Amazon Bedrock AgentCore, with an architecture consisting of one orchestration agent and four specialized sub-agents handling optimization, delivery, routing, and analysis functions. The multi-agent system is evaluated via AgentCore Evaluations, focusing on the explainability and usefulness of its outputs. This is the only report on the event, with no further developments yet.

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  1. AWS Machine Learning Blog
    Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore

    AWS demonstrated an evaluation approach for a multi-agent supply chain decision system built on the Strands Agents SDK and Amazon Bedrock AgentCore, consisting of an orchestrator agent and four specialized subagents for optimization, delivery, routing and analytics.