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An agent pattern where the model alternates between reasoning steps (thinking out loud) and action steps (calling a tool). The pattern made early LLM agents tractable by forcing them to articulate why before executing what. Most modern agent frameworks use a variant of this loop.
ReAct is the reference design every AI engineer should know. Interview discussions about agent reliability assume fluency with it.
An agent pattern where the model alternates between reasoning steps (thinking out loud) and action steps (calling a tool). The pattern made early LLM agents tractable by forcing them to articulate why before executing what. Most modern agent frameworks use a variant of this loop.
ReAct is the reference design every AI engineer should know. Interview discussions about agent reliability assume fluency with it.
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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