Build an AI Agent Web App with LangGraph & CopilotKit in 30 Minutes скачать в хорошем качестве

Build an AI Agent Web App with LangGraph & CopilotKit in 30 Minutes

Check out CopilotKit on GitHub at https://go.copilotkit.ai/copilotkit to view the demo + more featured in this video. While you're there, star their repository and support open source. Building a Full Stack AI App with LangGraph and CoPilotKit: A Step-by-Step Guide In this comprehensive video, I demonstrate how to create a full stack AI application using CoPilot Kit and LangGraph's Python cognitive architecture. You'll learn to build a Next.js application that functions as a research assistant, allowing you to input research questions and generate drafts using models from OpenAI, Anthropic, or Google. I'll guide you through the setup process, including the necessary environment variables, application structure, and the integration of LangGraph for backend agent architecture. By the end, you'll understand how to deploy your app and make use of LangGraph's advanced features, enabling you to craft a personalized research assistant application. 00:00 Introduction to Full Stack AI Application 01:19 Setting Up the Technical Environment 01:51 Initializing the Project Repository 02:32 Configuring Environment Variables 03:07 Building the UI Layer 03:53 Creating API Routes and Handlers 05:12 Implementing the Main Components 06:16 Managing State and Context 07:25 Finalizing the UI 16:34 Utility Functions and Model Selection 17:20 Running the Application 17:33 Introduction to Agent Architecture 19:40 Setting Up LangGraph Workflow 25:37 Implementing Agent Nodes 28:38 Handling Resource Management 29:15 Downloading and Parsing Resources 31:17 Executing Search Queries 33:33 Conclusion and Future Applications