Unverified50% confidenceTradeoffExact time
在ReAct框架下，每次工具调用需将完整历史上下文重新传入模型，导致上下文窗口随执行步骤线性累积，而计费成本呈近似二次方增长
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
Unverified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81% similarUnverifiedIn Agent paradigms such as ReAct, the model must process the complete history of all previous steps at each step, causing the cost impact of payload size to grow quadratically rather than linearly.79% similarVerifiedThe ReAct framework enables the model to interact with the external environment while reasoning—first reasoning about what to do, then calling external tools to act, then observing the results returned by the tools, iterating in a loop until the task is complete.71% similarUnverifiedThe ReAct pattern interweaves the language model's reasoning (Chain-of-Thought) with action calls to external tools within the same loop69% similarUnverifiedThe VRAM occupied by the context window is calculated separately from the model weights, and KV cache VRAM usage grows linearly with context length.69% similar
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