Installing Agent Studio

Install Agent Studio in an Air-gapped environment.

In the Cloudera console, click the Cloudera AI tile. The Cloudera AI Workbenches page is displayed.
Click on the name of the workbench. The workbench Home page is displayed.
Click Site Administration in the left navigation pane.
Set up the Agent Studio ML Runtime image by configuring it in the Runtimes tab for the project.
If a PyPi mirror repository is used, the following environment variables must be configured Runtimes > Environment Variables :
1. Set UV_DEFAULT_INDEX to the PyPi mirror URL, for example, http://%3Cvarname%3E%5B***MIRROR_HOST_URL***%5D%3C/varname%3E:8080/web/simple .
2. Set UV_INSECURE_HOST to the PyPi mirror host, for example, ccycloud.xyz-airgap.root.comops.site.
Create the Agent Studio application by using the configured ML Runtime image and the /studio_app/startup_scripts/run-app.py script file. Name this application Agent Studio.
note
- The functionality for Ops metrics is now directly integrated into the Agent Studio application, eliminating the need for a separate application.
- In air-gapped environments, the AI Studio feature flag is not required. This feature currently requires access to a public GitHub repository and not supported in airgapped setups.