Bootstrap your multi-agent workflows the easy way with AutoGen Studio on Kubernetes Part 2
Asking the chatbot questions was so 2023, time to step up to multi-agent workflows with Microsoft’s awesome new multi-agent framework Autogen and it’s simple, easy-to-use no code web app, Autogen Studio. We will run it on Tanzu Kubernetes Grid on vSphere using vscode dev containers to grok it with cloud server performance with a local desktop UX, strap in and come along for the ride!
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View the companion blog for this post: https://artfewell.com/blog/welcomeTo2...
Part 1 of this 2-part video: • Bootstrap your multi-agent workflows the e...
Join me for part 2 where we delve into the practical implementation of Microsoft's Autogen Studio in a Kubernetes container. Learn step-by-step how to build Autogen Studio interactively within an Ubuntu container, making it more accessible and efficient. Discover the advantages of using Kubernetes containers for such projects, including better management and performance, and how it simplifies the process by automating cleanup and organization. We also cover the integration of Visual Studio Code with Kubernetes and Dev Containers, demonstrating seamless connection and workflow. This video is perfect for those looking to understand the intricacies of setting up Autogen Studio in a cloud environment, particularly for AI and machine learning projects. Whether you're a seasoned developer or new to Kubernetes, this guide provides valuable insights into leveraging cloud technology for advanced AI applications. Stay tuned for future videos where we'll explore creating a ready-to-go container for Autogen Studio and delve deeper into its capabilities.
00:09 Introduction and Setup
00:29 Why Use Kubernetes Container
01:50 Installing Necessary Plugins
03:07 Connecting to Kubernetes Cluster
03:12 Running Ubuntu Image
04:10 Connecting to Pod from VS Code
05:46 Exploring the VS Code Interface
07:49 Installing Dependencies
07:54 Running Autogen Studio
10:01 Understanding the Workflow
16:34 Adding Skills to Workflow
17:24 Generating Images
18:36 Conclusion and Future Plans