Unverified50% confidenceFactExact time
In the AI Agent field, Trajectory refers to the complete recorded sequence of all intermediate states during an Agent's task completion, including observations, reasoning, actions, and results.
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50%
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Long-term
Relevance
10/3/2026
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Related Claims
UnverifiedA trajectory refers to the complete behavioral sequence of an agent from receiving a task to completing it, including the thought-action-observation triplet at each step.79% similarUnverifiedAn agent trajectory refers to the complete sequence of actions experienced by an agent loop from its initial state to its terminal state, including reasoning output, tool-call parameters, returned results, and state changes.77% similarVerifiedThe decision loop of an AI Agent consists of four steps: Sense, Plan, Action, and Observe, forming a closed-loop iteration.76% similarVerifiedIn agent scenarios, a complete agent task should be treated as a single Trace, with each LLM call, tool call, and memory retrieval being a Span.76% similar
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