Requirements
Databricks Genie requires you to create and configure your own serving endpoints in Databricks before configuring them in Omni. Unlike other providers, there are no pre-configured model options.
- Organization Admin permissions in Omni
- In Databricks:
- A Databricks workspace with serving endpoints configured. See the Databricks serving endpoints documentation for more information.
- A Databricks Personal Access Token (PAT) with permissions to access your serving endpoints. See the Databricks PAT documentation for more information.
- The name(s) of your Databricks serving endpoint(s)
Enabling Databricks Genie as a provider
1
In Omni, navigate to AI Hub > General and click the LLM settings tab.
2
In the Providers section, click the Your API keys tab.
3
Click Databricks Genie to open its settings.
4
Add the connection details:
- Base URL - Enter the serving endpoint URL of your Databricks workspace, for example:
https://<your-workspace>.cloud.databricks.com/serving-endpoints - API key - Enter your Databricks Personal Access Token
5
In the Custom models field, enter the names of your serving endpoints as a comma-separated list. Each endpoint displays as an LLM that you can approve for users.
The endpoint names you provide must exactly match the serving endpoint names configured in your Databricks workspace. For example, if you named a serving endpoint
omni-model-provider, you would enter omni-model-provider in Omni.6
In the Simple-task model field, enter the name of the serving endpoint to use for light tasks, such as naming a chat and writing summaries. A smaller, faster LLM is recommended.
7
Click Save and approve.
8
To run AI features on Databricks Genie by default, select one of the endpoints as the organization default.

