Microsoft Azure cloud supports OpenAI models.
Translate5 OpenAI AI plugin allows the integration with OpenAI GPT models in the Microsoft Azure cloud as well.
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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.
Deploying other models than OpenAI
It is possible to use other models in Azure cloud like Llama, Mistral, DeepSeek, Grok etc. The only limitation is that finetuning will not work within the Translate5 AI plugin, however still possible with Azure AI Foundry.
First of all it is needed to create a resource of Microsoft Foundry type (see "Short workflow to create all needed resources in Azure") instead of Azure OpenAI
Then among all configs only runtimeOptions.plugins.OpenAI.server and runtimeOptions.plugins.OpenAI.apiToken are mandatory, all other should be ommited.
After this is configured it is possible to create a deployment of a model in Azure AI Foundry, then create a new language resource in Translate5 and provide a deployment name in field "Engine/Model".