code: def test_cost_ft_gpt_35():
      try:
          # this tests if litellm.completion_cost can calculate cost for ft:gpt-3.5-turbo:my-org:custom_suffix:id
          # it needs to lookup  ft:gpt-3.5-turbo in the litellm model_cost map to get the correct cost
          from litellm import ModelResponse, Choices, Message
          from litellm.utils import Usage
  
          resp = ModelResponse(
              id="chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac",
              choices=[
                  Choices(
                      finish_reason=None,
                      index=0,
                      message=Message(
                          content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
                          role="assistant",
                      ),
                  )
              ],
              created=1700775391,
              model="ft:gpt-3.5-turbo:my-org:custom_suffix:id",
              object="chat.completion",
              system_fingerprint=None,
              usage=Usage(
                  prompt_tokens=21,
                  completion_tokens=17,
                  total_tokens=38,
              ),
          )
  
          cost = litellm.completion_cost(completion_response=resp)
          print("\n Calculated Cost for ft:gpt-3.5", cost)
          input_cost = model_cost["ft:gpt-3.5-turbo"][
              "input_cost_per_token"
          ]
          output_cost = model_cost["ft:gpt-3.5-turbo"][
              "output_cost_per_token"
          ]
          print(input_cost, output_cost)
          expected_cost = (input_cost * resp.usage.prompt_tokens) + (
              output_cost * resp.usage.completion_tokens
          )
          print("\n Excpected cost", expected_cost)
          assert cost == expected_cost
      except Exception as e:
          pytest.fail(
              f"Cost Calc failed for ft:gpt-3.5. Expected {expected_cost}, Calculated cost {cost}"
          )
  
file_path: litellm/litellm/tests/test_completion_cost.py
imports: import sys, os
  import traceback
  import time
  import litellm
  from litellm import get_max_tokens, model_cost, open_ai_chat_completion_models
  import pytest
label_desc: Use image node_id 4 for calling a global function with example usage: test_cost_ft_gpt_35() without return types