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Chapter 2. Customizing the dashboard
The OpenShift AI dashboard provides features that are designed to work for most scenarios. These features are configured in the OdhDashboardConfig custom resource (CR).
To see a description of the options in the OpenShift AI dashboard configuration, see Dashboard configuration options.
As an OpenShift AI administrator, you can customize the interface of the dashboard. For example, you can show or hide some of the dashboard navigation menu items. To change the default settings of the dashboard, edit the OdhDashboardConfig CR as described in Editing the dashboard configuration.
2.1. Editing the dashboard configuration
As an OpenShift AI administrator, you can customize the interface of the dashboard by editing the dashboard configuration.
Prerequisites
- You have OpenShift AI administrator privileges.
Procedure
- Log in to the OpenShift console as a user with OpenShift AI administrator privileges.
-
In the Administrator perspective, click Home
API Explorer. -
In the search bar, enter
OdhDashboardConfigto filter by kind. -
Click the
OdhDashboardConfigcustom resource (CR) to open the resource details page. -
From the Project list, select the OpenShift AI application namespace; the default is
redhat-ods-applications. - Click the Instances tab.
-
Click the
odh-dashboard-configinstance to open the details page. - Click the YAML tab.
Edit the values of the options that you want to change.
For example, to show or hide a menu item in the dashboard navigation menu, update the
spec.dashboardConfigsection to edit the relevant dashboard configuration option.NoteIf a dashboard configuration option is not included in the
OdhDashboardConfigCR, the default value is used.To change the default behavior for such options, edit the
OdhDashboardConfigCR to add the missing entry to thespec.dashboardConfigsection, and set the preferred value:-
To show the feature, set the value to
false -
To hide the feature, set the value to
true
Example
By default, the Observe & monitor
Workload metrics menu item is shown in the dashboard navigation menu. To hide this menu item, set the disableDistributedWorkloadsvalue totrue, as follows:disableDistributedWorkloads: trueFor more information about dashboard configuration options and their default values, see Dashboard configuration options.
-
To show the feature, set the value to
- Click Save to apply your changes and then click Reload to synchronize your changes to the cluster.
Verification
- Log in to OpenShift AI and verify that your dashboard configurations apply.
2.2. Dashboard configuration options
The OpenShift AI dashboard includes a set of core features enabled by default that are designed to work for most scenarios. OpenShift AI administrators can configure the OpenShift AI dashboard from the OdhDashboardConfig custom resource (CR) in OpenShift.
If a dashboard configuration option is not included in the OdhDashboardConfig CR, the default value is used. To change the default behavior for such options, edit the OdhDashboardConfig CR to add the missing entry to the spec.dashboardConfig section, and set the preferred value:
-
To show the feature, set the value to
false -
To hide the feature, set the value to
true
For more information about setting dashboard configuration options, see Editing the dashboard configuration.
Features denoted with (Technology Preview) in this table are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using Technology Preview features in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.
| Feature configuration option | Default | Description |
|---|---|---|
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Shows the Gen AI studio |
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Shows a preview of the YAML for the |
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Shows the Settings |
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Shows the Settings |
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Shows the Settings |
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Shows the Settings |
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Shows the Workload metrics menu item under Observe and monitor in the dashboard navigation menu. To hide this menu item, set the value to |
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Shows the Feature store menu item in the dashboard navigation menu. To hide this menu item, set the value to |
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| No longer used | Deprecated. This option has no effect. |
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Hides Kueue-related options in the dashboard. Set the value to |
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When true, it hides Eval Hub evaluation features from the dashboard navigation Develop & train |
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Shows the Home menu item in the dashboard navigation menu. To hide this menu item, set the value to |
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On the Applications |
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Shows the label on a tile that indicates whether the application is |
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Enables the ability to select KServe as a model-serving platform. To disable this ability, set the value to |
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Enables the ability to use authentication with KServe. To disable this ability, set the value to |
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Enables the ability to view KServe metrics. To disable this ability, set the value to |
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On the Settings |
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Controls the state of the Enable distributed inference with llm-d toggle on the Settings |
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Shows the AI hub |
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Shows the AI hub |
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Shows the Add CA certificate to secure database connection section in the Create model registry dialog and the Edit model registry dialog. To hide this section, set the value to |
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Shows the AI hub |
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Enables the ability to select NVIDIA NIM as a model-serving platform. To disable this ability, set the value to |
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Shows the Endpoint Performance tab on the Deployments page. To hide this tab, set the value to |
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Shows the Develop and train menu item in the dashboard navigation menu. To hide this menu item, set the value to |
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Shows the Projects menu item in the dashboard navigation menu. To hide this menu item, set the value to |
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Updates the standard Permissions tab on the Projects page to an enhanced version that provides role-based access control (RBAC). To update this tab, set the value to |
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Distinguishes between global items and project-scoped items (if project-scoped items exist) in the OpenShift AI web console. This option applies to workbench images, hardware profiles, and model-serving runtimes for KServe. To disable this functionality, set the value to |
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Enables project sharing so that users can share access to their projects with other users. To prevent users from sharing projects, set the value to |
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Shows the Configuration parameters section in the Deploy model dialog and the Edit model dialog when using the model serving platform. To hide this section, set the value to |
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Shows the Settings |
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Shows the Support menu item when a user clicks the Help icon in the dashboard toolbar. To hide this menu item, set the value to |
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Enables Red Hat to collect data about OpenShift AI usage in your cluster. To disable data collection, set the value to |
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Shows the Model Bias tab on the Models page. To hide this tab, set the value to |
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Shows the Settings |
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Enables OpenShift AI administrators to add applications to the OpenShift AI dashboard Applications |
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When you enable this feature, the Vector stores tab displays on the AI asset endpoints page. The pre-configured vector stores are defined in the |
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Shows or hides the Gen AI studio menu item in the dashboard navigation menu. To show this menu item, set the value to |
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Shows or hides a drop-down list of global and local project-scoped gateways in the Advanced Settings step of your model deployment. Users can access the model deployment through these gateways. The selected gateway is applied to the |
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Enable this feature to browse and deploy MCP servers from Red Hat partners and other providers. In the left navigation menu, click AI hub |
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Shows or hides the MLflow tile on the Applications |
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Shows or hides the Model as a service tab on the AI assets endpoint page. To show this tab, set the value to |
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Shows or hides the Observe and monitor |
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| Shows or hides prompt management features in the Gen AI Studio Chat Playground. When enabled, you can load prompts from the MLflow prompt registry, and save new prompts or versions of existing prompts. You can search, preview versions, and load prompts into the playground with the prompt library modal. |
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Shows or hides the Develop and train |
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Shows or hides the option to use the new default deployment method for basic vLLM generative AI models. Previously, you could only deploy an
These vLLM options are displayed from preconfigured and configurable |
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Specifies an array of domains that the cluster treats as internal, in addition to |
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Shows the Gen AI studio |
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| No longer used |
Read-only. To configure access to the OpenShift AI dashboard, use the |
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| Use this option to customize names and resources for model servers. |
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Shows the Start basic workbench tile in the Applications section, and the Start basic workbench button on the Projects page. To hide these items, set the value to |
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| Use this option to customize names and resources for workbenches. The Kubernetes-style sizes are shown in the drop-down menu that is displayed when launching a workbench with the Notebook Controller. Note: These sizes must follow conventions. For example, requests must be smaller than limits. |
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| Specifies the order of custom Serving Runtime templates. When the user creates a new template, it is added to this list. |
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