agentic loop

An agentic loop is the way an AI agent runs: a language model sits inside a repeating control structure and, at each step, chooses whether to return a final answer or call a tool. Tool results and intermediate outputs are fed back in as context for the next step, and the loop ends when a stop condition is met.

Unlike typical chatbot use, where a person drives each round of question and answer, the model itself drives the iteration. Most AI agent implementations and agent development frameworks are built around this pattern.

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