Expired50% confidenceFactExact time
In the LangChain framework, Tool call results are appended to the message chain via ToolMessage objects.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/18/2026(expired)
Sources
Related Claims
UnverifiedToolContext不仅能获取自定义元数据，还能访问当前的聊天记录State，包含用户提示词、大模型响应、工具调用参数等完整对话上下文信息75% similarUnverifiedAnthropic's Messages API passes the system message as a separate top-level parameter rather than placing it in the messages array; tool calls use the tool_use and tool_result content block types.71% similarUnverifiedWhen an LLM model decides to call a tool, it generates an assistant message containing a tool_use block; after the tool finishes executing, the result is appended as a new message in tool_result format71% similarUnverifiedUnder the LangChain framework, defining a tool only requires writing a regular function with a description and a @tool decorator, and its description is serialized into a Function Calling format understandable by large language models.70% similar
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