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AWS adds decision model support to Amazon Bedrock AgentCore Evaluations
Amazon Bedrock AgentCore Evaluations now supports connecting decision models like Jev and Strands Decider via code-based evaluators.
Summary
Amazon Bedrock AgentCore Evaluations now supports integrating decision models like TypeSafe's Jev and Strands Decider 2B through code-based AWS Lambda evaluators. Decision models return calibrated probabilities over fixed sets of answers rather than free-form text. Developers can combine these narrow checks with built-in LLM-as-a-judge evaluators and deterministic checks to score AI agents across development, batch jobs, and production traffic.
What changed
- Amazon Bedrock AgentCore Evaluations added support for custom code-based evaluators running decision models.
- Added integration guides for Jev from TypeSafe and Strands Decider 2B.
- Enabled yes/no, choice, and score question types for agent evaluation rubrics.
Availability
Available now“Amazon Bedrock AgentCore Evaluations , a capability of Amazon Bedrock AgentCore, scores an agent through its entire lifecycle, on demand during development, in batch jobs against stored sessions, and online against production traffic.”
Founder takeaway
Small teams can integrate decision models as a low-latency screening layer to evaluate agent outputs before invoking more expensive LLM-as-a-judge evaluators.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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