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Amazon Bedrock AgentCore Evaluations Decouples Agent Evaluation from Frameworks

Amazon Bedrock AgentCore Evaluations can score any agent that emits OpenTelemetry telemetry, regardless of the framework used to build it.

By Illumora Editorial

Source · Aug 26, 2026, 7:13 PM · On Illumora · Aug 26, 2026, 7:17 PM

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Read the source →AWS Machine Learning Blog — Evaluate any agent framework with Amazon Bedrock AgentCore Evaluations | Amazon Web Services
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Amazon Web Services (AWS) has introduced Amazon Bedrock AgentCore Evaluations, a service designed to decouple agent evaluation from the underlying development framework. This allows for consistent scoring of agents built with various tools, provided they emit OpenTelemetry telemetry.

Key Points

  • Amazon Bedrock AgentCore Evaluations can score agents built with any framework that emits OpenTelemetry telemetry.
  • Supported frameworks include LangGraph, LlamaIndex, the OpenAI Agents SDK, Google ADK, the Claude Agent SDK, and Strands Agents.
  • Amazon Bedrock AgentCore can be used to build automated voice agents, such as one developed by Natera for patient appointment scheduling.
  • Natera's voice agent achieved 100% tool-calling accuracy and sub-7-second latency.
  • Amazon Bedrock AgentCore agents can access knowledge bases across different accounts without data duplication.
  • Cross-account knowledge base access can be orchestrated using a code-based Strands agent or a declarative AgentCore harness.

Context

According to the AWS Machine Learning Blog, the AgentCore Evaluations service establishes a framework-agnostic contract for agent assessment. This approach allows developers to evaluate agents consistently, regardless of whether they use frameworks like LangGraph or the OpenAI Agents SDK. The blog also highlights practical applications of Amazon Bedrock AgentCore, including Natera's automated voice agent for appointment scheduling and the ability to connect agents to cross-account knowledge bases.

Why It Matters

This development offers builders a standardized method for evaluating agent performance across diverse development environments. It can simplify the assessment process and potentially improve the reliability of agents by providing a consistent scoring mechanism, regardless of the framework chosen for development.

What To Do

  • Note that Amazon Bedrock AgentCore Evaluations requires agents to emit OpenTelemetry telemetry for scoring.
  • Compare the evaluation capabilities of Amazon Bedrock AgentCore Evaluations with your current agent assessment practices.
  • Test building an agent with a framework like LangGraph or LlamaIndex and evaluate it using AgentCore Evaluations.
  • Watch for further documentation on integrating OpenTelemetry with various agent frameworks for evaluation.