Agent Control Patterns - Part 4: ReAct - Thinking While Acting

Ali Nemati6 days ago33 sec read4 views

ReAct is an adaptive control pattern used in systems involving large language models where the number of steps required to solve a task is unknown and information must be discovered gradually. It involves continuous reasoning and decision-making based on previous results, making it suitable for tasks like real-time financial analysis or multi-step research queries. However, ReAct introduces challenges such as increased latency, token growth leading to higher costs, variable execution length, dependency on tool quality, and potential unbounded loops if not properly managed.

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