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An Eval is a quantitative check of Agent performance, with common forms including comparison of outcome correctness, judgment of the reasonableness of tool calls, and automatic scoring based on LLM-as-a-Judge.
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10/15/2026
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UnverifiedAn Eval (evaluation benchmark) is a systematic test set and scoring mechanism, where scoring can be rule-based or use the LLM-as-Judge approach.80% similarUnverifiedThe industry typically employs three evaluation frameworks for AI model A/B testing: rule-based automated evaluation, the LLM-as-Judge method, and comparison against manually annotated golden datasets.76% similarUnverifiedAgent evaluation is not equal to software testing: traditional software testing is deterministic judgment (whether functionality works, whether the process goes through), whereas Agent evaluation is probabilistic judgment (whether the answer is credible, whether the reasoning is reasonable, whether the tool selection is correct).76% similarVerifiedAgent tests should programmatically inspect the final state to verify the true end state of the system rather than relying on the model's self-report.76% similar
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