Verified65% confidenceFactTime unknown
The technical essence of Agent-type tools is an LLM-based autonomous decision-making loop, i.e., the ReAct framework (Reasoning → Action → Observation → Re-reasoning).
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65%
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6/1/2026
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VerifiedThe Planning module of an Agent is typically implemented based on reasoning frameworks such as Chain-of-Thought (CoT) or ReAct.81% similarVerifiedReAct is a core LLM Agent paradigm proposed by Google and Princeton University in 2022, which interleaves the reasoning process with external tool calls to form a think-act-observe closed loop.81% similarUnverified现代LLM Agent的核心逻辑可归结为一个循环：接收目标、调用LLM、解析输出、执行工具、重复迭代80% similarVerifiedAgent planning capabilities are typically implemented through the ReAct (Reasoning + Acting) framework.79% similar
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