Unverified50% confidenceFactExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Related Claims
UnverifiedIn long conversations, historical messages are repeatedly included in the context, causing the token consumption per interaction to grow continuously; the actual billing for the 10th round of dialogue includes the full text of the preceding 9 rounds.83% 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81% similarUnverifiedIn multi-turn agent conversations, token consumption is often 5–10 times that of ordinary conversations due to the need to carry tool call results, historical context, and system prompts.80% 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67% similarVerifiedLangChain's ConversationBufferMemory retains the complete conversation history, while ConversationSummaryMemory compresses the conversation history through LLM summarization.65% similar
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