code: def test_cost_azure_embedding():
      try:
          import asyncio
  
          litellm.set_verbose = True
  
          async def _test():
              response = await litellm.aembedding(
                  model="azure/azure-embedding-model",
                  input=["good morning from litellm", "gm"],
              )
  
              print(response)
  
              return response
  
          response = asyncio.run(_test())
  
          cost = litellm.completion_cost(completion_response=response)
  
          print("Cost", cost)
          expected_cost = float("7e-07")
          assert cost == expected_cost
  
      except Exception as e:
          pytest.fail(
              f"Cost Calc failed for azure/gpt-3.5-turbo. 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 6 for calling a global function with example usage: test_cost_azure_embedding() and returns: response