Unverified60% confidenceFactTime unknown
Large models are stateless; every API call is a completely fresh inference process for the model, relying entirely on the messages list to recall what has previously occurred.
2
Sources
60%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Agent Loop核心机制详解：从零构建ReAct循环（附踩坑实录）
bilibiliNotTechSavvy
Related Entities
Related Claims
UnverifiedEvery API call is independent and amnesiac; the only reason a model can continue a conversation is that the application layer re-feeds the historical context to the model.79% similarVerifiedLarge models are essentially stateless; during each inference, the model can only see the token sequence in the current input and has no persistent memory storage.79% similarUnverifiedLarge language models can hallucinate when generating code, fabricating plausible-sounding but non-existent function names, parameter signatures, or API interfaces.76% similarVerifiedLarge models are essentially stateless, and multi-turn conversations are implemented by sending the historical conversation records together with each request to the model.74% similarUnverifiedThe model is stateless, and the entire conversation is resent with each call, so understanding the mechanism helps save tokens.74% similar
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