Unverified50% confidenceTradeoffExact time
单一 ReAct Agent 承载复杂任务时会导致推理链冗长、上下文窗口压力增大，且难以通过 prompt 工程精确控制执行路径
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
Related Claims
UnverifiedAutonomous Agent（如ReAct架构）依赖大模型在运行时动态决定下一步调用哪个工具，灵活性强但不确定性高，Token消耗更大78% similarUnverifiedAgent系统通过ReAct、Chain-of-Thought等框架，让大语言模型在多轮循环中逐步分解和解决复杂任务74% similarUnverified在Agent应用中完成一个复杂任务往往需要多轮推理调用，每一步都会产生Token消耗74% similarUnverifiedThe multi-agent architecture breaks through the length limitations of a single context window while leveraging parallel computation to reduce total time for complex tasks72% similarUnverified在Agent策略选择上，实测ReAct比Function Calling更稳定，尤其在多步骤多工具协同的复杂任务中容错性更强72% similar
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