AutoGen Studio

This repository contains a Docker Compose setup for running Autogen Studio. The Docker Compose setup allows for more flexibility and easier management of environment variables through an .env file.

TLDR

1. Clone this repo: git clone github.com:stracker-phil/autogen-studio-docker.git
2. Copy .env.example to .env and insert your OpenAI API key
3. Run docker compose up --build
4. Navigate to http://localhost:8081

Prerequisites

Ensure you have Docker and Docker Compose installed on your machine.

When using a Mac, OrbStack is the recommended solution.

Setting up Environment Variables

Create a .env file in the root of this repository and add the following environment variables:

HOST_PORT=8081
OPENAI_API_KEY=sk-1234567   # Insert your OpenAI API key

Replace sk-1234567 with your actual OpenAI API key.

Building and Running the Docker Compose Setup

To build and run the Autogen Studio using Docker Compose, run the following command in the root of this repository:

# First time only: Build the container:
docker-compose up --build

# Starting the already built container:
docker-compose up

This will build the Docker image and start the Autogen Studio in a Docker container. The Autogen Studio will be available at http://localhost:${HOST_PORT}.

Stopping the Docker Compose Setup

To stop the Docker Compose setup, press Ctrl+C in the terminal where docker-compose up is running, or run the following command in the root of this repository:

docker-compose down

Custom Initialization Logic

During the container setup, a script modifies the database path in the application's entry script to point to a mounted directory on the host machine. This ensures that the SQLite database is mirrored to the host, mainly to persist your data when rebuilding the container.

See config/boot.sh for the relevant code.

Customization

If a custom Skill requires an API key or other private data, add those items to the .env file and restart the docker container:

docker compose down
docker compose up

Use the os.getenv() Python function in the Skill to access the values from your .env file:

import os
api_base = os.getenv('SMART_CONNECT_URL')
...

Summary

With this Docker Compose setup, you can easily run Autogen Studio on your local machine. Custom .env variables and the persisted SQLite database provide additional convenience.

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Usage Notes

Video introduction to AutoGen Studio: https://www.youtube.com/watch?v=4ZqJSfV4818

• Note: Ignore all the Conda and ENV-variable setup. This is handled by Docker.

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