Verified65% confidenceFactExact time
An 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.
3
Sources
65%
Confidence
Long-term
Relevance
9/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA typical Agent execution loop includes perception, reasoning, action, and observation, forming the ReAct (Reasoning + Acting) pattern79% similarUnverifiedA 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.78% similarVerifiedThe underlying operational logic of an Agent Loop is an iterative cycle of 'perception–planning–action–observation.'77% similarUnverifiedIn 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.77% similar
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