OpenAI introduced Control Room, a central system for tracking and stopping model workloads across their research infrastructure. This system allows for real-time monitoring of model activity, enabling rapid intervention when safety or security concerns arise. Control Room provides visibility into model performance, resource utilization, and error rates, empowering OpenAI engineers to identify and address potential issues promptly. By streamlining the process of tracking and stopping model workloads, Control Room enhances the safety and security of OpenAI's research infrastructure, mitigating the risk of unintended model behavior. This development is relevant to developers and operators of AI agents, as it highlights the importance of robust monitoring and control mechanisms in ensuring the safe and responsible deployment of AI systems.