Cloudera Docs

Installing Agent studio

Learn about installing Agent Studio in an Air-gapped enviroinment.

For air-gapped customers, the Agent Studio ML Runtime image is available for download from the Cloudera AI Registry and can be hosted in their private Docker registry.

  1. In the Cloudera console, click the Cloudera AI tile. The Cloudera AI Workbenches page displays.
  2. Click on the name of the workbench. The workbench Home page displays.
  3. Click Site Administration in the left navigation pane.
  4. Set up the Agent Studio ML Runtime image by configuring it in the Runtimes tab for the project.
  5. If a PyPi mirror repository is utilized, then the following environment variables must be configured under Runtimes > Environment Variables :
    1. Set UV_DEFAULT_INDEX to the PyPi mirror URL, for example, http://ccycloud.xyz-airgap.root.comops.site:8080/web/simple.
    2. Set UV_INSECURE_HOST to the PyPi mirror host, for example, ccycloud.xyz-airgap.root.comops.site.
  6. To create the Agent Studio application, use the configured ML Runtime image and the script file /studio_app/startup_scripts/run-app.py to establish an application. Name this application as Agent Studio.