code: def test_openai_azure_embedding_simple():
      try:
          litellm.set_verbose = True
          response = embedding(
              model="azure/azure-embedding-model",
              input=["good morning from litellm"],
          )
          print(response)
          response_keys = set(dict(response).keys())
          response_keys.discard("_response_ms")
          assert set(["usage", "model", "object", "data"]) == set(
              response_keys
          )  # assert litellm response has expected keys from OpenAI embedding response
  
          request_cost = litellm.completion_cost(
              completion_response=response
          )
  
          print("Calculated request cost=", request_cost)
  
      except Exception as e:
          pytest.fail(f"Error occurred: {e}")
  
imports: import sys, os
  import traceback
  import pytest
  from dotenv import load_dotenv
  import openai
  import litellm
  from litellm import embedding, completion
label_desc: Use image node_id 2 for calling a global function with example usage: test_openai_azure_embedding_simple() without return types