Unverified50% confidenceTradeoffExact time
多智能体系统随着调用链路加长，错误累积效应和Token消耗会成倍增加
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Related Claims
Unverified多智能体系统带来新复杂性：智能体间每次上下文传递消耗额外Token，错误会在智能体链中级联放大80% similarUnverified多智能体并行架构通过同时探索多条解题路径以更高算力换取更低错误率和更短挂钟时间，但代价是Token消耗成倍增加78% similarUnverified多Agent架构中Agent间传递上下文时重复信息被反复处理，导致Token消耗和成本上升75% similarUnverified智能体系统常通过定时任务每分钟不间断运行，加上多轮模型调用、工具调用结果重新输入及反思步骤，令令牌成本呈指数级攀升74% similarUnverified在多轮迭代模式下每一轮执行都会重新传入累积的上下文，导致token消耗呈近似二次方增长72% similar
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