Unverified50% confidenceFactExact time
在多轮Agent对话中,由于需要携带工具调用结果、历史上下文和系统提示,Token消耗往往是普通对话的5-10倍。
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
Hermes Agent本地部署教程:内置代码能力与自我进化的AI助手框架
bilibili学大模型的小爆6/10/2026
Related Claims
Unverified在长对话中历史消息会被反复纳入上下文,导致每轮交互的token消耗持续增长,第10轮对话的实际计费包含前9轮全部文本81% similarUnverified多轮对话中Token用量会因携带完整历史上下文而随对话轮次呈线性增长80% similarUnverified在一个对话窗口里,提问轮次越多,后面每一轮消耗的Token就越大,因为历史对话会被拼接重新发送79% similarUnverified在多轮对话场景中,随着历史消息累积,系统指令相对业务内容的比重下降,格式遵从度随之降低71% similarUnverifiedTraditional conversational AI typically has a context window of a few thousand to tens of thousands of tokens68% similar
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