code: def test_multiple_messages_no_trimming():
      messages = [
          {
              "role": "user",
              "content": "This is a long message that will exceed the token limit.",
          },
          {
              "role": "user",
              "content": "This is another long message that will also exceed the limit.",
          },
      ]
      trimmed_messages = trim_messages(
          messages=messages, model="gpt-3.5-turbo", max_tokens=100
      )
      print("Trimmed messages")
      print(trimmed_messages)
      assert messages == trimmed_messages
  
imports: import sys, os
  from dotenv import load_dotenv
  import copy
  import os
  import pytest
  import litellm
  from litellm.utils import trim_messages, get_token_count, get_valid_models, check_valid_key, validate_environment, function_to_dict, token_counter
label_desc: Use image node_id 4 for calling a global function with example usage: test_multiple_messages_no_trimming() without return types