AgentScope presents CoPaw, a cloud-based platform designed for the observability and management of autonomous AI agents, enabling teams to efficiently monitor, orchestrate, and enhance agent workflows at scale. By collecting comprehensive telemetry on the activities, decisions, and external interactions of agents, it offers insightful dashboards and timelines that empower engineers to follow execution paths, identify errors, and gain insights into agent behavior through intricate multi-step processes. CoPaw's customizable alerting system, structured logging, and context-sensitive event views allow teams to quickly detect anomalies and performance issues, thereby enhancing the reliability of automated systems and minimizing resolution times. Moreover, the platform provides historical analytics to track trends like latency, success rates, and resource utilization, facilitating data-informed optimization and effective governance. With its flexible deployment options, teams can operate agents on secure cloud infrastructure while maintaining a unified view of operations, ensuring both security and efficiency in their workflows. This capability is pivotal in helping organizations adapt to the rapidly evolving landscape of AI technologies.