code: def test_openai_chat_completion_call():
      try:
          litellm.set_verbose = False
          print(f"making openai chat completion call")
          response = completion(
              model="gpt-3.5-turbo", messages=messages, stream=True
          )
          complete_response = ""
          start_time = time.time()
          for idx, chunk in enumerate(response):
              chunk, finished = streaming_format_tests(idx, chunk)
              print(f"outside chunk: {chunk}")
              if finished:
                  break
              complete_response += chunk
              # print(f'complete_chunk: {complete_response}')
          if complete_response.strip() == "":
              raise Exception("Empty response received")
          print(f"complete response: {complete_response}")
      except:
          print(f"error occurred: {traceback.format_exc()}")
          pass
  
imports: import sys, os, asyncio
  import traceback
  import time, pytest
  from dotenv import load_dotenv
  import litellm
  from litellm import completion, acompletion, AuthenticationError, BadRequestError, RateLimitError, ModelResponse
label_desc: Use image node_id 22 for calling a global function with example usage: test_openai_chat_completion_call() without return types