code: def test_async_text_completion():
      litellm.set_verbose = True
      print("test_async_text_completion")
  
      async def test_get_response():
          try:
              response = await litellm.atext_completion(
                  model="gpt-3.5-turbo-instruct",
                  prompt="good morning",
                  stream=False,
                  max_tokens=10,
              )
              print(f"response: {response}")
          except litellm.Timeout as e:
              print(e)
          except Exception as e:
              print(e)
  
      asyncio.run(test_get_response())
  
file_path: litellm/litellm/tests/test_text_completion.py
imports: import sys, os, asyncio
  import traceback
  from dotenv import load_dotenv
  import os, io
  import pytest
  import litellm
  from litellm import embedding, completion, text_completion, completion_cost, atext_completion
  from litellm import RateLimitError
label_desc: Use image node_id 9 for calling a global function with example usage: test_async_text_completion() without return types