Microsoft Autogen Studio 2 – How to Run an Army of AI Agents

In this video, Donatien Thorez demonstrates how to use Microsoft Autogen Studio 2 to create and manage multiple AI agents. The tutorial focuses on setting up and leveraging Autogen Studio to build a workflow where agents can collaborate to perform tasks. The example used involves creating two agents: one to extract YouTube comments and another to generate new video content ideas from those comments.

Key points include:

1. **Introduction to Autogen Studio 2**: Autogen Studio allows users to run multiple agents with different LLMs and specific skills, which are essentially Python functions assigned to agents.
2. **Installation**: The installation process involves two commands: `pip install autogen studio` and `autogen Studio UI -p 8081`. Autogen Studio can be accessed through a web browser.
3. **Models Tab**: Users can define multiple models, including GPT-4 and local LLMs like those running on LM Studio. The tutorial shows how to add these models with necessary configurations.
4. **Skills Tab**: Skills are Python functions that agents can use. The video demonstrates how to create a skill to retrieve YouTube comments using the YouTube API.
5. **Agents Tab**: Agents are created with specific skills and models. The example shows the creation of a YouTube assistant agent and a content generator assistant agent.
6. **Workflows Tab**: This tab is used to create workflows where agents collaborate. The workflow example involves extracting YouTube comments and generating new video content ideas.
7. **Playground Tab**: This tab allows users to test the created workflows. The example workflow is tested to show how agents interact and produce the final output.

The video concludes by encouraging viewers to explore other use cases and create their own workflows with Autogen Studio.