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A ReAct loop (Reason + Act) lets an AI model call tools iteratively, using each result as context for the next decision. Unlike single or parallel tool calls, the loop handles dependent tasks where one answer requires another tool's output first. The model reasons, acts, observes, and repeats until it can respond.
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