AI Agent Testing by TestMu AI

AI Agent Testing is TestMu AI's evaluation platform for teams building AI-powered conversational and multimodal experiences. It tests how agents behave through simulated interactions, helping teams examine accuracy, safety and task completion before deployment and after changes.

Provide documents or a specification, define the expected behavior and connect the agent's endpoint or supported interface. The platform generates scenarios and uses AI evaluators to exercise them. Chat and voice evaluations cover dimensions such as hallucination, bias, completeness, context awareness and conversation quality. Phone, video and image workflows have additional checks suited to their interfaces.

Teams can configure personas, environment variables and custom validation criteria, schedule evaluations and inspect reports. Confidence indicators and Green, Yellow or Red readiness summaries help organize review. These are evaluation outputs for a team to assess, rather than a guarantee that an agent is error-free.

The testmu-a2a-cli supports terminal-driven evaluations and CI workflows. Begin with the official setup guide, connect a test agent and review a small scenario suite before expanding coverage. Agent Testing is offered through custom-quoted plans; confirm current evaluation allowances and supported integrations with TestMu AI.