Adding Models
This section explains the steps to add Cloudera models and configure the required access controls.1
Navigate to Cloudera Models in AI Gateway
From the TrueFoundry dashboard, navigate to 
AI Gateway > Models and select Cloudera.Navigate to Cloudera Models
2
Add Cloudera Account and Authentication
Give a unique name for the Cloudera account. This will be used to refer to the models later. Provide the authentication details for the gateway to access your Cloudera CDP environment. TrueFoundry supports both CDP Workload Authentication (recommended) and Auth Token based authentication.
Finally, enter your Cloudera
Get Cloudera Authentication Details
Get Cloudera Authentication Details
Using CDP Workload Authentication (Recommended):CDP Workload Authentication is the recommended approach for production environments as it provides better security and access control. This method generates secure workload tokens using your Access key and private key.Choose CDP Workload Auth Token.
- Enter your
Access Key ID,Private Key, andWorkload Name.
Store your
Private Key in a Secret Group and reference it using the secret’s Fully Qualified Name (FQN) in the Private Key field. This ensures your private key is securely managed and not exposed in plain text.CDP Workload Authentication
- Choose Token Auth.
- Enter your pre-generated
Auth Token. You can generate this token using the CDP CLI or from your user profile settings.
Auth Token Authentication
CDP Base URL.3
Add Models
Click 
+ Add Model to add a new model configuration. The Model ID is the model name assigned to the model when it is registered to the Cloudera AI Registry. You can find this in the Model Endpoint Details UI.Add Cloudera Model in TrueFoundry
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.
Infer Model in Playground or Get Code Snippet