Benchmarks are foundational to evaluating the strengths and limitations of AI systems, guiding both research and industry development. As AI agents move from research demos to mission-critical applications, researchers and practitioners are building benchmarks to evaluate their capabilities and limitations. These AI agent benchmarks are significantly more complex than traditional AI benchmarks in task formulation (e.g., often requiring a simulator of realistic scenarios) and evaluation (e.g., no...