Credentials. Enter your model API key only into the local UI form, and never expose the server beyond your own machine, because the UI runs generated Python with your user account's permissions.
Who it is forA designer or small team member who prefers a visual interface to editing config files and running commands.
The problemRunning a CLI pipeline and finding outputs is awkward for people who want to type a brief, watch progress, and preview the model.
The outcomeA local web page where you submit a brief, see a 3D preview, and download the generated part files.
What you need first
- Python with conda or a Python 3.11 virtual environment
- git to clone the repository
- An API key for an OpenAI-compatible model endpoint, such as the default DashScope setup
- Enough local disk and network access to run the model calls
Steps
git clone https://github.com/Pan-Chera/Multi-Agent-CAD.gitcd Multi-Agent-CADconda env create -f environment.ymlconda activate multi_agent_cadpip install -e ".[web]"python -m multi_agent_cad.web- Open the local address the server prints in your browser, enter your brief and key, and run a job (inferred, check the README)
Prompt for your agent
Use the Multi-Agent-CAD repo (github.com/Pan-Chera/Multi-Agent-CAD). Start the web UI with python -m multi_agent_cad.web on 127.0.0.1, submit the brief <part description>, and confirm a downloadable result with a 3D preview appears.
Caveat. The README warns the UI executes generated Python with your user account's permissions, so keep it on loopback unless you understand the network risk.
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