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AWS develops production-ready evaluation framework for agents using Bedrock AgentCore

AWS's SMGS Operations team built a continuous quality-evaluation loop for multi-agent systems used by AWS Field Sales, leveraging Amazon Bedrock AgentCore and other AWS services. The system coordinates specialized sub-agents (Performance Insights, Customer Insights, Data Insights), adds pre-release and continuous monitoring, and aims to detect ungrounded or incorrect answers and trace failures to data, prompts, or code.

KEY POINTS

  1. AWS's SMGS Operations team built a continuous quality-evaluation loop for multi-agent systems used by AWS Field Sales, leveraging Amazon Bedrock AgentCore and other AWS services.
  2. The system coordinates specialized sub-agents (Performance Insights, Customer Insights, Data Insights), adds pre-release and continuous monitoring, and aims to detect ungrounded or incorrect answers and trace failures to data, prompts, or code.
  3. Production AI agents can produce fluent but incorrect outputs that erode user trust; this framework demonstrates an engineering approach to continuous testing, monitoring, and root-cause tracing at scale for agentic systems.

WHY IT MATTERS

Production AI agents can produce fluent but incorrect outputs that erode user trust; this framework demonstrates an engineering approach to continuous testing, monitoring, and root-cause tracing at scale for agentic systems.

SOURCES & TIMELINE

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