Expired50% confidenceSolutionExact time
Tool calls need to be wrapped using the ToolNode class provided by LangGraph, while ordinary large model calls can use functions directly.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/12/2026
First Seen
Valid until: 10/10/2026(expired)
Sources
Getting Started with LangGraph: Building AI Agent Workflows with Graph Structures
bilibili吴恩达LLM7/10/2026
Related Claims
Unverified工具调用能力的关键突破在于模型能生成结构化函数调用请求并正确解析工具返回结果后继续推理，而非简单将工具输出拼接进提示词76% similarUnverifiedTool call matching is completed by the large model, and the tool list must first be bound to the large model using the bind_tools method.75% similarUnverified搭建LangGraph工作流的步骤为：绑定工具与大模型、创建状态图并添加节点、设置入口与连接边、编译并运行75% similarUnverifiedSkill 在底层实现上本质是将结构化指令注入到模型的上下文窗口中，类似于定制化的 System Prompt，但具备更好的模块化和复用性72% similarUnverifiedThe core elements that each Skill can package include three parts: large model instructions, metadata, and resources.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/488752API
curl https://kongchang.com/api/v1/knowledge/claims/488752MCP
get_claim(id=488752)