How to Connect Decision Models to Amazon Bedrock AgentCore Evaluations
Use decision models with Amazon Bedrock AgentCore Evaluations
- Who
- AWS
- What
- explains how to connect decision models to Amazon Bedrock AgentCore Evaluations using code-based evaluators
- Quote
This post shows how to connect two decision model backends to AgentCore Evaluations through code-based evaluators.
What happened
AWS explains how to connect TypeSafe’s hosted Jev and the open-source Strands Decider 2B to Amazon Bedrock AgentCore Evaluations through code-based evaluators. The walkthrough builds an HR Assistant example and shows how to map model probabilities into evaluation results, then validate the checks against human labels and built-in evaluators on the same traffic. The post recommends using decision models for narrow checks alongside broader LLM evaluations.
Why it matters
The walkthrough shows how to connect two decision model backends to AgentCore Evaluations and validate their judgments against labeled traffic, offering a practical path for adding calibrated checks alongside broader LLM evaluations.
Read next
See the full storyAWS Shows How to Add Decision Models to AgentCore EvaluationsThe story so far
AWS published a walkthrough connecting TypeSafe’s hosted Jev and the open-source Strands Decider 2B to Amazon Bedrock AgentCore Evaluations through code-based evaluators. It uses an HR Assistant example to turn model probabilities into evaluation results and compare those checks with human labels and built-in evaluators on the same traffic. AWS recommends using decision models for narrow checks alongside broader evaluations by large language models.
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