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

InferenceAzureAiStudioServiceSettings [interface-InferenceAzureAiStudioServiceSettings]

Name	Type	Description
api_key	string	A valid API key of your Azure AI Studio model deployment. This key can be found on the overview page for your deployment in the management section of your Azure AI Studio account. 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.
endpoint_type	string	The type of endpoint that is available for deployment through Azure AI Studio: token or realtime. The token endpoint type is for "pay as you go" endpoints that are billed per token. The realtime endpoint type is for "real-time" endpoints that are billed per hour of usage.
provider	string	The model provider for your deployment. Note that some providers may support only certain task types. Supported providers include: * cohere - available for text_embedding and completion task types * databricks - available for completion task type only * meta - available for completion task type only * microsoft_phi - available for completion task type only * mistral - available for completion task type only * openai - available for text_embedding and completion task types
rate_limit	InferenceRateLimitSetting	This setting helps to minimize the number of rate limit errors returned from Azure AI Studio. By default, the azureaistudio service sets the number of requests allowed per minute to 240.
target	string	The target URL of your Azure AI Studio model deployment. This can be found on the overview page for your deployment in the management section of your Azure AI Studio account.