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Datasets in AgentCore is in public preview.

Agent evaluation is most powerful when you combine fast-moving online signals with stable offline baselines. To understand whether your agent is truly improving over time, you need a fixed benchmark alongside your changing real-world traffic.

Managing test cases for evaluation baselines as a dataset in Amazon Bedrock AgentCore brings the discipline of versioned test fixtures to agent evaluation. You can author scenarios with inputs, expected outputs, assertions, and tool sequences, then publish them as immutable numbered versions that don’t shift beneath a run. You can iterate freely on a mutable draft until you’re ready to lock a checkpoint.…

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