Unverified60% confidenceFactTime unknown
Multi-turn dialogue is implemented by re-inputting all previous conversation history to the model with each request, rather than the model having genuine memory capability.
2
Sources
60%
Confidence
Long-term
Relevance
6/3/2026
First Seen
Sources
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Related Claims
VerifiedIn multi-turn conversations, before each new response is generated, the system must re-input all prior conversation history into the model, causing token consumption to accumulate and grow with each turn84% similarUnverified每次大语言模型对话由系统提示、历史对话和用户输入三部分共同构成模型的输入上下文81% similarVerifiedLarge models are essentially stateless, and multi-turn conversations are implemented by sending the historical conversation records together with each request to the model.80% similarVerifiedEach model response includes the full conversation history (context window) in billing, and as the number of dialogue turns increases, the token consumption per call grows linearly or even super-linearly.76% similarUnverified模型在每次推理时需要将当前对话的完整历史记录一并输入处理，总结全部内容操作会将整个上下文历史计入输入费用76% similar
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