Agent Evaluation

Module: agentic

What it is

Agent evaluation is measuring how well agents perform—task success rate, efficiency, error handling, goal achievement. This includes testing on benchmarks, running evaluations in sandboxes, and measuring real-world performance. Evaluating agents is harder than evaluating simple model outputs.

Why it matters

Without evaluation, you don't know if agents are actually effective. Agent evaluation helps you compare options, identify weaknesses, and verify improvements. As you deploy agents for real work, establishing evaluation methods helps you maintain quality over time.