code: def mock_completion(
      model: str,
      messages: List,
      stream: Optional[bool] = False,
      mock_response: str = "This is a mock request",
      **kwargs,
  ):
      """
      Generate a mock completion response for testing or debugging purposes.
  
      This is a helper function that simulates the response structure of the OpenAI completion API.
  
      Parameters:
          model (str): The name of the language model for which the mock response is generated.
          messages (List): A list of message objects representing the conversation context.
          stream (bool, optional): If True, returns a mock streaming response (default is False).
          mock_response (str, optional): The content of the mock response (default is "This is a mock request").
          **kwargs: Additional keyword arguments that can be used but are not required.
  
      Returns:
          litellm.ModelResponse: A ModelResponse simulating a completion response with the specified model, messages, and mock response.
  
      Raises:
          Exception: If an error occurs during the generation of the mock completion response.
  
      Note:
          - This function is intended for testing or debugging purposes to generate mock completion responses.
          - If 'stream' is True, it returns a response that mimics the behavior of a streaming completion.
      """
      try:
          model_response = ModelResponse(stream=stream)
          if stream is True:
              # don't try to access stream object,
              response = mock_completion_streaming_obj(
                  model_response,
                  mock_response=mock_response,
                  model=model,
              )
              return response
  
          model_response["choices"][0]["message"][
              "content"
          ] = mock_response
          model_response["created"] = int(time.time())
          model_response["model"] = model
          return model_response
  
      except:
          traceback.print_exc()
          raise Exception("Mock completion response failed")
  
imports: import os, openai, sys, json, inspect, uuid, datetime, threading
  from typing import Any, Literal, Union
  from functools import partial
  import dotenv, traceback, random, asyncio, time, contextvars
  from copy import deepcopy
  import httpx
  import litellm
  from litellm import client, exception_type, get_optional_params, get_litellm_params, Logging
  from litellm.utils import get_secret, CustomStreamWrapper, read_config_args, completion_with_fallbacks, get_llm_provider, get_api_key, mock_completion_streaming_obj, convert_to_model_response_object, token_counter, Usage, get_optional_params_embeddings, get_optional_params_image_gen
  from .llms import anthropic, together_ai, ai21, sagemaker, bedrock, huggingface_restapi, replicate, aleph_alpha, nlp_cloud, baseten, vllm, ollama, ollama_chat, cloudflare, cohere, petals, oobabooga, openrouter, palm, gemini, vertex_ai, maritalk
  from .llms.openai import OpenAIChatCompletion, OpenAITextCompletion
  from .llms.azure import AzureChatCompletion
  from .llms.huggingface_restapi import Huggingface
  from .llms.prompt_templates.factory import prompt_factory, custom_prompt, function_call_prompt
  import tiktoken
  from concurrent.futures import ThreadPoolExecutor
  from typing import Callable, List, Optional, Dict, Union, Mapping
  from .caching import enable_cache, disable_cache, update_cache
  from litellm.utils import get_secret, CustomStreamWrapper, TextCompletionStreamWrapper, ModelResponse, TextCompletionResponse, TextChoices, EmbeddingResponse, read_config_args, Choices, Message
label_desc: Use image node_id 1 for calling a global function with example usage: mock_completion(model, messages, stream, mock_response) and returns: model_response, response