Use decision models with Amazon Bedrock AgentCore Evaluations
Summary
- Amazon Bedrock AgentCore Evaluations introduces support for decision models, which are small, specialized models trained to select from fixed options and return calibrated confidence scores.
- Unlike free-form LLM-as-a-judge evaluators, decision models provide precise probability distributions over predefined answers, making them ideal for narrow, repeatable evaluation tasks.
- The evaluation framework supports custom code-based evaluators using hosted backends like TypeSafe Jev or open-source models like Strands Decider 2B.
- An end-to-end code sample demonstrates how to deploy an HR Assistant agent, run deterministic checks, and integrate decision models via AWS Lambda functions.
Why it matters
Decision models offer AI engineers a more deterministic and calibrated way to score agent outputs compared to drifting free-form LLMs, improving reliability and thresholding in production pipelines.