Unverified50% confidenceFactExact time
Due to the stateless design of large model APIs, the entire tools array must be resent in every request, alongside the system prompt and conversation history.
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.78% similarUnverifiedThe context sent with each model call typically includes the system prompt, the tool definition list, memories and files, and the full conversation record.72% similarUnverifiedAfter receiving a request, the model may return a structured tool call rather than directly providing an answer.71% similarUnverifiedThe Responses API supports orchestrating multi-step reasoning and tool calls within a single API call, eliminating the need for the client to manually manage intermediate state.71% similarUnverifiedThe chat API is stateless, so to achieve multi-turn conversation the client must put the previous user and assistant messages into the messages array of the current request, and the history messages are billed again as input tokens every turn.71% similar
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