Tool-Calling Agent in LangGraph 🤖

Welcome to the LangGraph Series! 🌙 In this session, we’re building a Tool‑Calling Agent in LangGraph — where the LLM decides which tool to use based on the user’s request. 🤖⚙️ This is the core idea behind modern agentic AI systems — giving your AI the ability to think, choose, and act. By the end of this lesson, you’ll understand: ✅ What a Tool‑Calling Agent is ✅ How LLMs decide which tool to use ✅ How to connect multiple tools with LangGraph ✅ How decision-making happens inside AI agents ✅ Real‑world use cases like automation and assistants ✅ Best practices for tool selection prompts ✅ Common mistakes in tool‑calling workflows With hands‑on examples and clear explanations, you’ll gain the confidence to build intelligent, decision-making AI agents using LangGraph. 🚀 💬 Don’t forget to Like, Subscribe, and Comment what you learned today — your support keeps these coding lessons going strong! ✨ Before you sleep, make sure you’ve learned something new. ✨ #LangGraph #AI #AIAgents #LLM #ToolCalling #LangChain #ArtificialIntelligence #Python #AIEngineering #AgenticAI #AITools #CodeBeforeYouSleep #YashJain