Unverified50% confidenceFactExact time
LangChain中工具调用经历四个步骤：用户提问、模型返回结构化工具调用请求、框架自动执行工具、模型将结果组织成自然语言回答
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/14/2026
First Seen
Valid until: 11/12/2026
Sources
Related Claims
UnverifiedLangChain 1.0 unifies tool definition, tool call result injection, and multi-turn conversation state management under Agent lifecycle management.75% similarVerifiedLangChain is based on the ReAct (Reasoning + Acting) think-act loop pattern and provides a general-purpose tool-chain orchestration framework.75% similarVerifiedLangChain provides the FewShotPromptTemplate (few-shot prompt template) tool, which guides large models to understand task intent by embedding a small number of examples into the prompt.72% similarUnverifiedLangChain's StructuredTool relies on Pydantic to define the input parameter structure of tools, using Pydantic BaseModel to describe the type and meaning of each parameter.72% similarUnverifiedAgent frameworks such as LangChain and OpenAI Function Calling implement dynamic tool selection and feedback loops for execution results.70% similar
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