Example
AutoGen — implementation sample

A real, runnable mini-project. Download it and run with Docker.

June 28, 2026

AutoGen — implementation sample

A tiny AutoGen (AgentChat) sample: a single assistant agent runs one task.

Note: AutoGen is in maintenance mode; Microsoft directs new work to the Microsoft Agent Framework.

Configure

cd samples/autogen_1
cp .env.sample .env
# edit .env: set OPENAI_API_KEY (and optionally MODEL)

Run with Docker

cd samples/autogen_1
docker build -t aas-autogen .
docker run --rm --env-file .env aas-autogen "Say hello in one short sentence."

Run with Docker (in a devcontainer with DooD)

The foreground docker run may print nothing under Docker-outside-of-Docker — run detached and follow the logs:

docker logs -f "$(docker run -d --env-file .env aas-autogen "Say hello in one short sentence.")"

Run locally

cd samples/autogen_1
pip install -r requirements.txt
python app.py "Say hello in one short sentence."

Example run

Output varies by model and run — LLMs are non-deterministic. One run with gpt-4o-mini:

Hello!

Files

.env.sample
# Copy to `.env` and add your OpenAI API key.
#   cp .env.sample .env
OPENAI_API_KEY=

MODEL=gpt-4o-mini