Agent Testing

The process of verifying that multi-step AI tasks and execution flows operate correctly, reliably, and as intended.

The process of verifying that external tools, APIs, and function integrations behave correctly when invoked by an AI system.

A software testing method that verifies whether an AI application, agent, or system performs its intended functions correctly by validating its behavior against specified functional requirements and expected outcomes.

A structured testing methodology where adversarial tactics are simulated to discover vulnerabilities, safety flaws, and failure modes in a system.

An evaluation method in which human reviewers assess the quality of AI system outputs against defined criteria such as correctness, relevance, helpfulness, safety, or fluency, providing judgments that complement or validate automated evaluation metrics.