elasticsearch-js/docs/reference/api/InferenceAzureOpenAIServiceSettings.md

Interface InferenceAzureOpenAIServiceSettings

Name	Type	Description
api_key	string	A valid API key for your Azure OpenAI account. You must specify either api_key or entra_id. If you do not provide either or you provide both, you will receive an error when you try to create your model. IMPORTANT: You need to provide the API key only once, during the inference model creation. The get inference endpoint API does not retrieve your API key. After creating the inference model, you cannot change the associated API key. If you want to use a different API key, delete the inference model and recreate it with the same name and the updated API key.
api_version	string	The Azure API version ID to use. It is recommended to use the latest supported non-preview version.
deployment_id	string	The deployment name of your deployed models. Your Azure OpenAI deployments can be found though the Azure OpenAI Studio portal that is linked to your subscription.
entra_id	string	A valid Microsoft Entra token. You must specify either api_key or entra_id. If you do not provide either or you provide both, you will receive an error when you try to create your model.
rate_limit	InferenceRateLimitSetting	This setting helps to minimize the number of rate limit errors returned from Azure. The azureopenai service sets a default number of requests allowed per minute depending on the task type. For text_embedding, it is set to 1440. For completion, it is set to 120.
resource_name	string	The name of your Azure OpenAI resource. You can find this from the list of resources in the Azure Portal for your subscription.