def METHOD_NAME(
    self,
    **kwargs
) -> AsyncIterable["_models.ServicesListResult"]:
    """Lists all the Azure services available for support ticket creation. For **Technical** issues,
    select the Service Id that maps to the Azure service/product as displayed in the **Services**
    drop-down list on the Azure portal's `New support request
    <https://portal.azure.com/#blade/Microsoft_Azure_Support/HelpAndSupportBlade/overview>`_ page.
    Always use the service and its corresponding problem classification(s) obtained
    programmatically for support ticket creation. This practice ensures that you always have the
    most recent set of service and problem classification Ids.
    :keyword callable cls: A custom type or function that will be passed the direct response
    :return: An iterator like instance of either ServicesListResult or the result of cls(response)
    :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.support.models.ServicesListResult]
    :raises: ~azure.core.exceptions.HttpResponseError
    """
    cls = kwargs.pop('cls', None)  # type: ClsType["_models.ServicesListResult"]
    error_map = {
        401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
    }
    error_map.update(kwargs.pop('error_map', {}))
    api_version = "2020-04-01"
    accept = "application/json"
    def prepare_request(next_link=None):
        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
        if not next_link:
            # Construct URL
            url = self.METHOD_NAME.metadata['url']  # type: ignore
            # Construct parameters
            query_parameters = {}  # type: Dict[str, Any]
            query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
            request = self._client.get(url, query_parameters, header_parameters)
        else:
            url = next_link
            query_parameters = {}  # type: Dict[str, Any]
            request = self._client.get(url, query_parameters, header_parameters)
        return request
    async def extract_data(pipeline_response):
        deserialized = self._deserialize('ServicesListResult', pipeline_response)
        list_of_elem = deserialized.value
        if cls:
            list_of_elem = cls(list_of_elem)
        return None, AsyncList(list_of_elem)
    async def get_next(next_link=None):
        request = prepare_request(next_link)
        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response
        if response.status_code not in [200]:
            error = self._deserialize(_models.ExceptionResponse, response)
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
        return pipeline_response
    return AsyncItemPaged(
        get_next, extract_data
    )