def METHOD_NAME(endpoint_name: Optional[str] = None,
                              resource_group_name: Optional[str] = None,
                              workspace_name: Optional[str] = None,
                              opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetOnlineEndpointTokenResult:
    """
    Service Token
    :param str endpoint_name: Online Endpoint name.
    :param str resource_group_name: The name of the resource group. The name is case insensitive.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    """
    __args__ = dict()
    __args__['endpointName'] = endpoint_name
    __args__['resourceGroupName'] = resource_group_name
    __args__['workspaceName'] = workspace_name
    opts = pulumi.InvokeOptions.merge(_utilities.get_invoke_opts_defaults(), opts)
    __ret__ = pulumi.runtime.invoke('azure-native:machinelearningservices/v20230401preview:getOnlineEndpointToken', __args__, opts=opts, typ=GetOnlineEndpointTokenResult).value
    return AwaitableGetOnlineEndpointTokenResult(
        access_token=pulumi.get(__ret__, 'access_token'),
        expiry_time_utc=pulumi.get(__ret__, 'expiry_time_utc'),
        refresh_after_time_utc=pulumi.get(__ret__, 'refresh_after_time_utc'),
        token_type=pulumi.get(__ret__, 'token_type'))