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
Dify vs 扣子深度对比：开源私有化还是云端开箱即用？
Related Claims
UnverifiedMulti-agent systems introduce new complexity: each context transfer between agents consumes additional tokens, and errors are amplified in a cascading fashion across the agent chain.80% similarUnverifiedMulti-agent parallel architectures explore multiple solution paths simultaneously, trading higher compute for lower error rates and shorter wall-clock time, but at the cost of a multiplicative increase in token consumption.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% similarUnverifiedAgentic systems often run continuously every minute via scheduled tasks, and combined with multiple rounds of model calls, tool call results being fed back in, and reflection steps, token costs escalate exponentially.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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