Unverified50% confidenceFactExact time
一次invoke代表与大模型的一次完整交互，一次交互可传递多条消息，包括当前问题和历史聊天记录
1
Sources
50%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Related Claims
UnverifiedIn multi-turn conversations, the System message sets the behavioral tone and constraints, the user message represents user input, and the assistant message is the model's historical replies.72% similarUnverifiedA large language model object can be quickly constructed via the init_chat_model method; model.invoke() returns an AIMessage object whose response_metadata contains token statistics such as prompt_tokens, completion_tokens, and total_tokens.70% similarUnverifiedThe context window mechanism causes models in multi-turn conversations to feed the entire conversation history into the context, causing token consumption to grow rapidly as the conversation lengthens.70% similarUnverifiedThe 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.69% similarUnverifiedLong 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.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/598545API
curl https://kongchang.com/api/v1/knowledge/claims/598545MCP
get_claim(id=598545)