AI Glossary
Agent evals
Also called agent evaluation, evals for agents
What does “Agent evals” mean?
Agent evals: Tests that measure how well an agent completes realistic, multi-step tasks, checking final outcomes and sometimes the path taken, cost and safety. Because agents behave differently from run to run, results are usually averaged over many attempts.

What is an example of “Agent evals”?
SWE-bench is a well-known example: it checks whether coding agents can resolve real issues taken from open-source projects.