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