Definition
Agent Evaluation
The systematic testing and measurement of AI agent performance against defined benchmarks, scenarios, and quality metrics.
In Depth
Agent evaluation (or evals) is how you ensure agents work correctly before and after deployment. Unlike traditional software testing, agent evaluation must account for non-deterministic behavior — the same input might produce different but equally valid outputs. Evaluation approaches include: unit tests for individual tool calls, scenario tests for end-to-end workflows, regression tests against known-good outputs, and adversarial tests for safety. Continuous evaluation in production monitors for quality degradation over time.
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