AutoGen Studio 2.0 Full Course - NO CODE AI Agent Builder

Step-by-Step Tutorial: AutoGen Studio 2.0 Full Course - NO CODE AI Agent Builder

Setting Up AutoGen Studio:

1. Open your preferred IDE (e.g., PyCharm Community Edition).
2. Click on the terminal located on the left-hand side.
3. Install AutoGen Studio by running the command pip install autogen Studio.
4. Start AutoGen Studio UI by running autogen Studio UI -port 881 (or any available port number).
5. Familiarize yourself with the UI, including the tabs (Build, Workflows, Agents, Models, Skills).

Creating Agents, Models, and Workflows:

6. Create skills, models, and agents within AutoGen Studio.
7. Define skills as functions, models with specific parameters, and agents with auto-reply settings.
8. Connect agents in workflows to orchestrate their interactions.
9. Test workflows by creating sessions in the Playground tab and sending messages between agents.

Exploring the Gallery and Publishing Sessions:

10. Visit the Gallery tab to view collections of agent specifications and sessions.
11. Publish sessions to the Gallery after creating and testing workflows in the Playground.

Advanced Workflow Management and Code Generation:

12. Download workflows as JSON files to programmatically use them with AutoGen Studio.
13. Modify the workflow JSON files to fix any incorrect API key issues.
14. Run workflows from the terminal using the downloaded JSON files to execute the same actions as in the UI.

Implementing Local OpenAI LLM Studio:

15. Download the OpenAI LLM Studio model for local use.
16. Load the model and start the server to run queries locally.
17. Export the base URL and API key for local OpenAI LLM Studio usage in AutoGen Studio.

Using Skills to Generate Images:

18. Create skills for generating images with specific descriptions and settings.
19. Add the skills to agents and create workflows for image generation tasks.
20. Test the image generation workflow in the Playground tab by sending queries to the Image Assistant.

Conclusion and Further Exploration:

21. Explore additional functionalities and services that can be created using AutoGen Studio.
22. Check out the provided GitHub link for further resources and examples.
23. Experiment with different features and capabilities of AutoGen Studio for AI agent building.

By following these steps, you can fully utilize AutoGen Studio 2.0 to create AI agents, build workflows, and generate images without the need for writing complex code. Feel free to explore and experiment with the various features offered by AutoGen Studio for your AI projects.