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runtimeOptions.plugins.OpenAI.Azure.tenantId -  Directory (tenant) id - Search > Microsoft Entra ID > Manage > App registrations > %YOUR APP% > Overview 

runtimeOptions.plugins.OpenAI.Azure.clientId -  Application (client) id - Search > Microsoft Entra ID > Manage > App registrations > %YOUR APP% > Overview 

runtimeOptions.plugins.OpenAI.Azure.clientSecret - Client secret for accessing resource management -  Search > Microsoft Entra ID > Manage > App registrations > %YOUR APP% > Manage > Certificates and secrets


Implementation details

After language resource is created - translate5 automatically creates a deployment of the selected model in Azure cloud. Deployment name will contain translate5 language resource id for ease identifying.

When finetuning a model - a new deployment is created after fine tuning is completed. Please note that Azure documentation says: After you deploy a customized model, if at any time the deployment remains inactive for greater than fifteen (15) days, the deployment is deleted. The deployment of a customized model is inactive if the model was deployed more than fifteen (15) days ago and no completions or chat completions calls were made to it during a continuous 15-day period. The deletion of an inactive deployment doesn't delete or affect the underlying customized model, and the customized model can be redeployed at any time.