AutoGen Tutorial - UMD Classes -- Tutorials

This folder contains the setup for running AutoGen tutorials within a containerized environment

Quick Start¶

From the root of the repository, change your directory to the Autogen tutorial folder:
```
> cd tutorials/Autogen
```
Once the location has been changed to the repo run the command to build the image to run dockers:
```
> ./docker_build.sh
```
Once the docker has been built you can then go ahead and run the container and launch jupyter notebook using the created image using the command:
```
> ./docker_jupyter.sh
```
Once the ./docker_jupyter.sh script is running, you can execute the tutorials
For more informations on the Docker build system refer to Project template readme

Work through the following notebooks in order:

autogen.API.ipynb: Tutorial notebook focusing on API configurations and basic agent setup
- Master the fundamental commands and basic configurations of the AutoGen framework
autogen.example1.ipynb: Advanced end-to-end agentic workflow example Part 1
- Fetches real-time stock data from Yahoo Finance
- Bull and Bear strategist agents debate market trends
- Selector agent dynamically decides which expert to call at each step
- Generates stock charts and financial summaries
autogen.example2.ipynb: Advanced end-to-end agentic workflow example Part 2
- Pulls 10-K filings from SEC EDGAR and cleans them
- Embeds documents into a ChromaDB vector database
- Senior Quant Analyst agent queries the database to extract revenue splits, risk factors, and other insights
- Quant Runtime agent executes Python code locally to transform raw tables into structured visualizations
autogen_utils.py: Utility functions required by the example notebooks