Agent Trajectories map the step-by-step decision paths taken by AI agents during task execution. By logging actions, reasoning, and tool interactions, these traces enable developers to debug performance, optimize workflows, and train better models. Data scientists, AI engineers, and DevOps teams rely on them to boost transparency, reliability, and efficiency in autonomous systems.
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