Developing robust AI agents demands more than qualitative assessment. Traditional Large Language Model (LLM) evaluations, focusing on token-level metrics or single-turn responses, fall short. These methods fail to capture the complex, multi-step, and stateful nature of AI agents interacting with tools, environments, and other agents. As ML...