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Interface TokenAuthAzureMachineLearningVectorizerParameters

Specifies the properties for connecting to an AML vectorizer with a managed identity.

interface TokenAuthAzureMachineLearningVectorizerParameters {
    authKind: "token";
    modelName?: string;
    region?: string;
    resourceId: string;
    timeout?: string;
}

Hierarchy (view full)

Properties

authKind modelName? region? resourceId timeout?

Properties

authKind

authKind

Indicates how the service should attempt to identify itself to the AML instance

OptionalmodelName

modelName?: string

The name of the embedding model from the Azure AI Studio Catalog that is deployed at the provided endpoint.

Optionalregion

region?: string

The region the AML service is deployed in.

resourceId

resourceId: string

The Azure Resource Manager resource ID of the AML service. It should be in the format subscriptions/{guid}/resourceGroups/{resource-group-name}/Microsoft.MachineLearningServices/workspaces/{workspace-name}/services/{service_name}.

Optionaltimeout

timeout?: string

When specified, indicates the timeout for the http client making the API call.

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