Unverified50% confidenceTradeoffExact time
多智能体架构中每增加一个Agent就多一轮LLM调用，导致响应延迟线性甚至更快地累加
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified在Agent工作流场景下，每一轮LLM调用的延迟会被串行叠加74% 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.72% similarUnverifiedMulti-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.70% similar
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