Expired50% confidenceFactExact time
The mainstream LLM dialogue mechanism is essentially stateless, requiring the complete conversation history to be reprocessed with each API call.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Deep Dive into the Three AI Programming Frameworks: The Right Way to Do Specification-Driven Development
bilibili木羽Cheney6/3/2026
Related Claims
UnverifiedLLM 库在 0.32 之前通过 conversation 对象管理多轮对话，但无法从外部注入已有的对话历史79% similarVerifiedMost current LLM applications start from scratch with each conversation, lacking persistent memory capabilities across sessions.73% similarUnverifiedTraditional large model conversations are stateless, and the context is lost once the conversation ends.72% similarVerifiedLarge language models themselves are stateless; each API call is independent, and the model does not automatically remember the content of previous conversations.72% similar
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