Expired50% confidenceFactExact time
A 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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/23/2026
First Seen
Valid until: 10/21/2026(expired)
Sources
Related Claims
UnverifiedChat Model的输入是一个消息列表,输出是结构化消息对象AIMessage,对应ChatOpenAI、ChatAnthropic等类77% similarUnverifiedinit_chat_model implements the Facade Pattern by maintaining an internal mapping table from providers to a standard interface72% similarUnverified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70% similarUnverified工具调用对话的数据结构包含函数调用请求、参数JSON、执行结果等嵌套信息,序列化复杂度高于普通文本对话67% similarUnverifiedThe ChatGPT plugin ecosystem uses a large language model as a unified orchestration layer to dynamically dispatch plugin capabilities based on user intent.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/598544API
curl https://kongchang.com/api/v1/knowledge/claims/598544MCP
get_claim(id=598544)