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Adding Models

This section explains the steps to add Databricks models and configure the required access controls.
1

Navigate to Databricks Models in AI Gateway

From the TrueFoundry dashboard, navigate to AI Gateway > Models and select Databricks.
Navigating to Databricks Provider Account in AI Gateway

Navigate to Databricks Models

2

Add Databricks Account and Authentication

Give a unique name for the Databricks account. This will be used to refer to the models later. Provide the authentication details for the gateway to access your Databricks models. Truefoundry supports both Service Principal and Personal Access Token (PAT) based authentication.
Finally, enter your Databricks workspace URL (e.g., https://<workspace_id>.databricks.com).
3

Add Models

Click + Add Model to add a new model configuration. The Model ID in TrueFoundry must exactly match the serving endpoint name in your Databricks workspace.
Databricks model configuration form in TrueFoundry with display name and model ID fields

Add Databricks Model in TrueFoundry

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Inference

After adding the models, you can perform inference using an OpenAI-compatible API via the Playground or by integrating it with your own application.
Code Snippet and Try in Playgroud Buttons for each model

Infer Model in Playground or Get Code Snippet