AI Agents & Applications · intermediate · concept 248 of 311 · Updated Nov 4, 2026
Agent Evaluation
Agent evaluation tests whether an agent finishes real tasks correctly, safely and at acceptable cost. It is harder than scoring one model answer, because agents take many steps and can reach the right result by different routes. Good practice combines task success checks, tracing of each step, and a growing set of cases taken from real failures.
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Key terms
Task successTrajectoryTracingRegression setCost per task
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