code: def _generate_response(
      request: glm.GenerateTextRequest,
      client: glm.TextServiceClient = None,
  ) -> Completion:
      """
      Generates a response using the provided `glm.GenerateTextRequest` and client.
  
      Args:
          request: The text generation request.
          client: The client to use for text generation. Defaults to None, in which
              case the default text client is used.
  
      Returns:
          `Completion`: A `Completion` object with the generated text and response information.
      """
      if client is None:
          client = get_default_text_client()
  
      response = client.generate_text(request)
      response = type(response).to_dict(response)
  
      response["filters"] = safety_types.convert_filters_to_enums(
          response["filters"]
      )
      response[
          "safety_feedback"
      ] = safety_types.convert_safety_feedback_to_enums(
          response["safety_feedback"]
      )
      response["candidates"] = safety_types.convert_candidate_enums(
          response["candidates"]
      )
  
      return Completion(_client=client, **response)
  
imports: from __future__ import annotations
  import dataclasses
  from collections.abc import Iterable, Sequence
  import itertools
  from typing import Iterable, overload, TypeVar
  import google.ai.generativelanguage
  from google.generativeai.client import get_default_text_client
  from google.generativeai import string_utils
  from google.generativeai.types import text_types
  from google.generativeai.types import model_types
  from google.generativeai import models
  from google.generativeai.types import safety_types
label_desc: Use image node_id 4 for calling a global function with example usage: _generate_response(request, client) and returns: Completion