Agentic testing for agentic codebases
Open-source testing platform for AI agents. Run simulations, catch regressions, and ship autonomous agents with confidence. Built for developers who treat AI like software. Agent simulations are the new unit tests
Agent Simulations enables testing of multi-step agent behavior, multi-turn conversations, and tool usage patterns through realistic scenario-based simulations, ensuring agents handle complex workflows correctly.
Agent Simulations work with dataset management features to convert production traces into reusable test cases and golden datasets that power experiments and regression testing across agent iterations.
Simulations integrate with batch tests and experiments to track the impact of every change to prompts, models, and agent pipelines, providing structured regression testing before deployment.
Agent Simulations runs thousands of synthetic conversations across scenarios, languages, and edge cases to validate agent behavior before release, preventing production failures and quality degradation from prompt or model changes.