Unverified85% confidenceFactTime unknown
多代理系统中每个代理都需要携带系统提示、历史对话和工具定义进入上下文窗口，Token消耗呈乘数级增长
1
Sources
85%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Open Code Practical Guide: Building an AI Coding Team with Multi-Agent Systems
bilibili上下文keepContext
Related Entities
Related Claims
UnverifiedReasons for the sharp increase in token consumption in multi-agent architecture include: each sub-agent call must carry the full system prompt and context, inter-agent communication generates a large number of intermediate message tokens, and the coordinator agent must process the outputs of all sub-agents.79% similarUnverifiedIn agent scenarios, due to multiple rounds of tool calls, each call must carry the previous conversation history and system prompt, causing input tokens to grow cumulatively, and a code refactoring task may consume tens of thousands or even hundreds of thousands of tokens.77% similarUnverifiedIn multi-agent systems, each Agent call must carry the full context, and multi-turn reasoning continuously accumulates conversation history, meaning a seemingly simple multi-Agent task may consume tens of thousands or even hundreds of thousands of Tokens, whereas an equivalent workflow might only require a single call of a few hundred Tokens.76% similarUnverifiedIn multi-agent collaboration, each subsequent agent must carry the full output of all preceding agents as context, causing the context window to continuously expand as the workflow progresses and token consumption at terminal nodes to increase accordingly.76% similarUnverifiedIn a multi-Agent system, each Agent has an independent context window, dedicated system prompt, and specific tool permissions, and they exchange information through well-defined interfaces76% similar
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