Expired65% confidenceFactTime unknown
In LLM 0.32a0, response.reply() supports automatically executing tool calls and returning the results to the model, simplifying the implementation of multi-turn Agent loops.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
Valid until: 8/30/2026(expired)
Sources
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Related Claims
UnverifiedThe core idea of ReAct is to have LLMs perform explicit reasoning before generating actions, and to feed execution results back to the model as observations to form a closed loop.77% similarUnverifiedReAct enables the model to dynamically revise its reasoning path based on tool return results by alternately generating three types of tokens: Thought, Action, and Observation.76% similarVerifiedThe ReAct framework enables LLMs to alternately perform 'reasoning' and 'action' steps when answering questions.75% similarUnverifiedFor complex problems, tools hand off to an LLM Agent for analysis, typically following the ReAct (Reasoning + Acting) paradigm.72% similarUnverifiedLLM 0.32a0 introduced two core changes: modeling model input as a sequence of messages, and modeling model responses as typed streaming parts72% similar
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