Unverified50% confidenceTradeoffExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified多Agent编排中每层Agent调用都会带来Token消耗和延迟叠加,需要合理的资源规划76% similarUnverified当Agent处于循环状态时,每次调用会携带累积的对话历史,导致Token消耗随迭代次数线性甚至超线性增长76% similarUnverified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75% similarUnverified在智能体工作流中,历史交互作为输入Token累积,导致总Token消耗随任务轮次呈近似平方级增长74% 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73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/527973API
curl https://kongchang.com/api/v1/knowledge/claims/527973MCP
get_claim(id=527973)