Agentic trajectories map the sequential decisions and actions an AI agent takes to achieve a goal, enabling real-time analysis of its reasoning process. By visualizing these paths, developers can debug complex workflows, optimize performance, and ensure reliability. This benefits AI engineers, product managers, and enterprises building autonomous systems, as it enhances transparency, accountability, and strategic control.
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