- clone repo, write API key into .env
- create a venv with "python3 -m venv .venv"
- install dependencies "pip3 install -r requirements.txt"
- setup docker (if you want the agent to be able to run code in a save environment): first install docker, then build the image:
docker build -f docker/executor.Dockerfile -t agent-executor .-
now run: python3 run_gui.py and it should start. Setup your provider (base url, if you have the key in .env leave api-key field empty, else write key there directly, finally choose model)
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Set the workspace (where it can write/read. Also this workspace is mounted into the container)