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Agents· Important· 🧪 Worth Testing

Amazon Bedrock AgentCore adds native support for DeepEval and AutoEval

In short: Amazon Bedrock AgentCore now includes a comprehensive catalog of built-in, third-party, and custom evaluators to monitor agent behavior in production. The platform allows you to run metrics from DeepEval and AutoEval in a managed environment, supporting on-demand, online, and batch evaluation workflows.

Source: AWS Machine LearningAmazonOriginal article ↗

This summary was generated automatically by AI from AWS Machine Learning's publication. It is our own text, not a copy of the original — facts, figures and quotes belong to the source, linked above and below.

What changed?

  • 1Added managed integration for DeepEval and AutoEval libraries within AgentCore.
  • 2Introduced multi-dimension evaluators for scoring multiple criteria in a single judge call.
  • 3Support for three execution modes: on-demand (development), online (live traffic), and batch (regression testing).
  • 4New ListEvaluators API to access the full catalog of built-in and custom metrics.

Why it matters

Moving beyond basic latency and success rate monitoring is critical for complex agents. By measuring specific behaviors—such as PII leakage, tool usage accuracy, or knowledge retention—you can identify failure modes that composite success scores often hide.

What it means for AI agents and contact centers

If you are building complex voice agents, you can now use these managed tools to automate regression testing and monitor production quality. Compare how these metrics perform against your existing internal QA frameworks, specifically focusing on multi-turn conversation quality and tool execution reliability.

🧪 Worth Testing

It simplifies the transition from development-time testing to production monitoring using a consistent set of metrics.

Amazon Bedrock AgentCore Evaluations· New

Sources

  • AWS Machine LearningOfficialPrimary source
    „The agent evaluation playbook: Built-in, DeepEval, and AutoEval on Amazon Bedrock AgentCore Evaluations“
    11 Nov 2026, 00:35
    Original article →
Published by source
11 Nov 2026, 00:35
Found by our system
11 Nov 2026, 00:58
Summary generated
11 Nov 2026, 15:32

This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy

Amazon Bedrock AgentCore adds native support for DeepEval and AutoEval · TENESYS AI NEWS