LangGraph #29: Master LangGraph Streaming: Custom Mode + Real Time Progress

Learn how to implement powerful real-time streaming in LangGraph using Custom Mode and get_stream_writer. In this hands-on tutorial, you'll master streaming with multiple modes — updates, values, messages, and custom — for both LangGraph v1 and v2. We'll build a simple joke generator example that shows live status updates like "thinking of a joke..." and progress indicators. This technique is perfect for creating responsive AI agents and applications where users want to see what's happening behind the scenes instead of waiting for the final output. 🔥 What You'll Learn: • How LangGraph streaming works with stream_mode • Using get_stream_writer() to send custom data (status, progress, logs) • Combining multiple stream modes: ["updates", "custom"], ["values", "updates", "messages", "custom"] • Differences between LangGraph v1 and v2 streaming • Building transparent and user-friendly AI workflows Perfect for developers building AI agents, chatbots, or multi-step LangGraph applications who want better UX with real-time feedback. Timestamps: 00:00 - Introduction to LangGraph Streaming 01:30 - Basic Stream with updates + custom mode 03:23 - get_stream_writer explained with example 07:22 - LangGraph v1 vs v2 differences 10:49 - Adding progress updates If you're working with LangChain or LangGraph and want to make your AI apps feel more alive and responsive, this video is for you! 👉 Subscribe for more LangGraph, LangChain, and AI agent tutorials! #LangGraph #LangGraphStreaming #get_stream_writer #langgraphCustomStream #langgraphMultiAgent #langgraphAgents #langgraphplaylist #langgraphStudio #langgraphchatbot #langgraph tutorial Resources: LangGraph Official Docs: https://docs.langchain.com/oss/python/langgraph/streaming