You can upgrade the Agent Studio application, by updating the ML Runtime image for
Agent Studio in an air-gapped environment.
In air-gapped environments, the new ML Runtime image is published through the ML
Runtime repository file.
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The ML Runtime image must be synchronized with your internal environment:
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Synchronize the ML Runtime Repository file with the self-hosted ML
Runtime Repository file.
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Synchronize the corresponding Docker image with your internal Docker
repository.
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The ML Runtime image is updated automatically, if Enable Runtime
Update is checked. Otherwise, click the Update
Runtimes Now button to manually update the catalog.
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Once the new ML Runtime image is available in the Runtime catalog, an upgrade
alert appears in the Agent Studio application. Upgrade Agent Studio using the
provided alert link.
The existing ML Runtime image is replaced and the application
restarts.
