Unverified50% confidenceOpinionExact time
A framework does not give the model the ability to "call code"; rather, it helps automate the mechanical steps of parsing responses, routing to the corresponding function, and writing results back to the message history.
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Long-term
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10/6/2026
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Unverified对于需要精确计算的场景，应让模型生成代码或调用工具，而非直接让它回答77% similarUnverifiedAsynchronous tool calls allow the model to continue processing other logic while waiting for a tool to return results, without blocking the entire inference pipeline.75% similarUnverifiedThe ReAct pattern interweaves the language model's reasoning (Chain-of-Thought) with action calls to external tools within the same loop72% similarUnverified传统ReAct框架要求模型在每次工具调用后将结果写回上下文再重新读取整个对话历史决定下一步，导致Token消耗和延迟累积71% similarUnverifiedThe core idea of this method is that after an LLM provides an answer and explanation, concepts not mentioned in the explanation are removed from the original input, and the model is re-queried with the simplified input.71% similar
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