Apr 1
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Welcome to Part 2 of Conditional Edges in LangGraph! In this video, we explore a new example using lives and status to demonstrate how conditional routing works inside a LangGraph workflow. You’ll learn how to: 🔹 Create conditional edges based on the lives value 🔹 Build routing logic that checks if lives greater than 1 🔹 Update the graph status to "game_on" or "game_over" 🔹 Automatically route between the Game On Node and Game Over Node 🔹 Manage dynamic state using LangGraph’s structured workflow 🔹 Apply game-style decision logic to real graph flows This lesson shows how you can model state-based decision-making, making your LangGraph workflows smarter, more dynamic, and easier to scale. Perfect for: ✔️ LangGraph learners ✔️ Python developers ✔️ AI workflow builders ✔️ Anyone working with stateful graph logic ✔️ Students following the LangGraph course series Github Link: https://github.com/Alihamza-786/LangGraph #LangGraph #ConditionalEdges #GameLogic #GameOn #GameOver #LangChain #StateGraph #RouterNode #AIWorkflow #PythonTutorial #aidevelopment