code: def test_score_model_azure_openai_bad_envs(set_bad_azure_envs):
      with pytest.raises(
          MlflowException,
          match="Either engine or deployment_id must be set for Azure OpenAI API",
      ):
          score_model_on_payload(
              "openai:/gpt-3.5-turbo", "my prompt", {"temperature": 0.1}
          )
  
imports: from unittest import mock
  import pytest
  from mlflow.exceptions import MlflowException
  from mlflow.gateway.config import Route, RouteModelInfo
  from mlflow.metrics.genai.model_utils import _parse_model_uri, score_model_on_payload
label_desc: Use image node_id 13 for calling a global function with example usage: test_score_model_azure_openai_bad_envs(set_bad_azure_envs) without return types