Microsoft Azure cloud supports OpenAI models.
Translate5 AI plugin allows the integration with OpenAI GPT models in the Microsoft Azure cloud as well.
This documentation page contains configuration and implementation details important for plugin to be used.
There are 2 ways to use Azure AI integration with Translate5 AI plugin:
- First option supports full integration with finetuning
- Second option needs less permissions in Azure and less configs, but requires a little bit more manual work and supports only chat completions (no fine tuning), thus can be used for translations.
Full integration
All configs described in Configs section of this doc are required. After providing all required configs there will be a possibility to create a language resource of Azure type.
Only OpenAI models like gpt-4, gpt-5 etc will be available.
After language resource is created - translate5 automatically creates a model deployment of the selected model in Azure cloud. Deployment name will contain translate5 language resource id for ease identifying.
Even after deleting the language resource, the deployed model will not be deleted (could be implemented, if it makes sense).
Fine tuning
https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/fine-tuning?tabs=azure-openai&pivots=rest-api
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.
Partial integration
It is possible to provide only runtimeOptions.plugins.OpenAI.server and runtimeOptions.plugins.OpenAI.apiToken. In this case deployment should be created manually on https;//ai.azure.com.
Then while creating a language resource in field Engine/Model instead of a select you will have a text field where deployment name should be provided.
Using this integration fine tuning will not work from the Translate5 AI plugin, however still possible to be done manually in Azure.
Configs
The translate5 Azure integration has its own specific configs, that are derived from what Azure needs to work with what translate5 offers for GPT.
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- Create a resource > All resources > Create > AI + Machine learning > Azure OpenAI > Create
Implementation details
After language resource is created - translate5 automatically creates a model deployment of the selected model in Azure cloud. Deployment name will contain translate5 language resource id for ease identifying.
Even after deleting the language resource, the deployed model will not be deleted (could be implemented, if it makes sense).
Fine tuning
https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/fine-tuning?tabs=azure-openai&pivots=rest-api
When finetuning a model - a new deployment is created after fine tuning is completed. Please note that Azure documentation says:
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Deploying other models than OpenAI
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