Unverified50% confidenceFactExact time
A chat application can "remember" historical conversations because the backend database stores every message and sends the entire history together with the new message to the model on each new request; the model itself does not retain any state across calls.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMulti-turn conversation models accept a `messages` array containing a list of historical messages, with full context carried in each request; some specialized models' APIs only accept a single `prompt` input and do not process historical context.79% similarVerifiedChat Memory simulates memory by injecting historical messages into the Prompt with each request, causing token consumption to grow linearly with the number of conversation turns.78% similarVerifiedLong conversations package and resend the entire context history to the model, which is counted toward the token usage of each request; the longer the conversation, the more tokens a single request consumes.77% similarVerifiedThe so-called conversational memory is essentially the application layer concatenating historical messages into the prompt before submitting it to the model, with state management handled by the client or an intermediate layer.76% similarUnverifiedChat assistants use the large model's Chat Completion interface and maintain a message history list to achieve multi-turn conversation context memory, while text generation is similar to a single Completion interface call that does not retain conversation history.75% similar
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