code: def test_openai_authentication_error(mock_openai_creds):
      client = get_deploy_client("openai")
      mock_response = mock.Mock()
      mock_response.status_code = 401
      mock_response.json.return_value = {
          "error": {
              "message": "Incorrect API key provided: redacted. You can find your API key at https://platform.openai.com/account/api-keys.",
              "type": "invalid_request_error",
              "param": None,
              "code": "invalid_api_key",
          }
      }
  
      with mock.patch("requests.post", return_value=mock_response):
          with pytest.raises(
              MlflowException, match="Authentication Error for OpenAI"
          ):
              client.predict(
                  endpoint="test",
                  inputs={
                      "messages": [
                          {"role": "user", "content": "Hello!"},
                      ],
                  },
              )
  
file_path: mlflow/tests/deployments/openai/test_openai.py
imports: from unittest import mock
  import pytest
  from mlflow.deployments import get_deploy_client
  from mlflow.exceptions import MlflowException
label_desc: Use image node_id 13 for calling a global function with example usage: test_openai_authentication_error(mock_openai_creds) without return types