Testing Agents

Learn why testing AI agents requires evaluation-based methods for non-deterministic outputs, unlike traditional exact-match assertions for deterministic code.

Learn to test AI agents with 8 examples. Unit-test pure tools, validate schemas, mock external calls, and assert trajectories.

Learn to unit test individual AI agent tools efficiently. This guide covers extracting tools, injecting dependencies, and asserting return payloads for robust, offline

Learn to build a gold-set evaluation suite for AI agents. Curate tasks with known outcomes, define success criteria, and gate releases on pass rates.

Catch quality, cost, safety, and wiring regressions after a model or prompt change. This guide provides a checklist for thorough regression testing.

Learn ten best practices for building an AI agent testing and evaluation pipeline that catches regressions early without flaky CI.