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AI Agent with Tools in LangGraphn | Using Tool Node

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.

*Check the code on GitHub:* https://github.com/CodeByFelix/AI-Agent-Tutorial

*Connect with me*
*LinkedIn:* https://www.linkedin.com/in/felix-ibeamaka/
*X:* https://x.com/Electronics__
*Facebook:* https://www.facebook.com/felixibeamaka/
*Instagram:* https://www.instagram.com/electroni6_247/
*TikTok:* https://www.tiktok.com/@UClF6nEUxzBRYcd8vjQOenyA

*Join My WhatsApp Group:* https://chat.whatsapp.com/C9mZeTCLiNQAe4yxCTmVy4
#aiagents #langgraph #langchain #ToolCalling #LLMTools #aiengineering #LangGraphToolNodes #LangChainTools #agenticai #LLMDevelopment #pythonai #AIAgentsDevelopment

Видео AI Agent with Tools in LangGraphn | Using Tool Node канала Code with Felix
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