Unverified50% confidenceSolutionExact time
An Eval system requires a test set with standard answers or scoring criteria, scoring via rule matching, similarity computation, or model-as-judge, and running it after every prompt change, model swap, or retrieval strategy adjustment to use data to judge whether the change is an improvement or a regression.
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Long-term
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10/25/2026
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UnverifiedA complete Evals system typically includes defining an evaluation dataset, designing scoring criteria (another LLM can be used as a judge for automated scoring), and continuously tracking changes in key metrics across version iterations.80% similarUnverifiedEvaluation (evals) means establishing a measurable set of criteria to judge agent performance, so that it is possible to know whether each change makes the system better or worse.77% similarUnverifiedEvaluation should use a fixed evaluation set and be data-driven through iteration, running the evaluation set after each modification to observe score changes and judge the effect of the change.76% similarUnverifiedModel regression testing reruns a fixed evaluation set after changing prompts, model versions, or retrieval configurations and compares whether the pass rate has declined; the determination methods include scoring thresholds, semantic similarity, or LLM-as-judge, with statistical comparison across multiple samples.75% similarUnverifiedIt is recommended to incorporate the Agent evaluation system into the regression testing process to quickly verify whether performance degradation has occurred after each model or prompt update74% similar
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