AI Agent with Tools in LangGraphn | Using Tool Node
Автор: Code with Felix
Загружено: 2026-01-13
Просмотров: 30
In this video, I demonstrate how to add tools to an AI agent using LangChain, enabling the language model to make tool calls when required.
You will learn how to:
Create tools using the @tool decorator in LangChain
Define simple Python functions as callable tools
Bind tools to a Large Language Model (LLM)
Allow the LLM to decide when and how to invoke tools autonomously
As a practical example, I implement two arithmetic tools; addition and multiplication, to clearly illustrate how AI agents interact with external functions beyond text generation.
This video is ideal for developers building AI agents, LLM-powered applications, or anyone looking to understand tool calling and function execution in LangChain.
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