code: def test_completion_replicate_vicuna():
      print("TESTING REPLICATE")
      litellm.set_verbose = True
      model_name = "replicate/meta/llama-2-7b-chat:f1d50bb24186c52daae319ca8366e53debdaa9e0ae7ff976e918df752732ccc4"
      try:
          response = completion(
              model=model_name,
              messages=messages,
              temperature=0.5,
              top_k=20,
              repetition_penalty=1,
              min_tokens=1,
              seed=-1,
              max_tokens=2,
          )
          print(response)
          # Add any assertions here to check the response
          response_str = response["choices"][0]["message"]["content"]
          print("RESPONSE STRING\n", response_str)
          if type(response_str) != str:
              pytest.fail(f"Error occurred: {e}")
      except Exception as e:
          pytest.fail(f"Error occurred: {e}")
  
imports: import sys, os
  import traceback
  from dotenv import load_dotenv
  import os, io
  import pytest
  import litellm
  from litellm import embedding, completion, completion_cost, Timeout
  from litellm import RateLimitError
  import openai
label_desc: Use image node_id 34 for calling a global function with example usage: test_completion_replicate_vicuna() without return types