Expired50% confidenceSolutionExact time
Tool 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.
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
UnverifiedTool calls need to be wrapped using the ToolNode class provided by LangGraph, while ordinary large model calls can use functions directly.75% similarUnverifiedThe Skill mechanism uses on-demand loading: it first sends the metadata of all Skills to the large model, and after the large model selects the matching Skill, the full instructions are loaded.72% similarUnverifiedThe key breakthrough in tool-calling capability lies in the model's ability to generate structured function-call requests and correctly parse tool return results before continuing to reason, rather than simply concatenating tool outputs into the prompt72% similarUnverifiedIn a multi-agent architecture, a lightweight model can first select the 5 most relevant tools from hundreds, then pass them into the main model's context, achieving physical isolation at the tool level.68% similarUnverifiedThe core elements that each Skill can package include three parts: large model instructions, metadata, and resources.68% similar
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