docstr: Validates the token or API key configured for accessing the OpenAI resource.
docstr_tok: ["Validates","the","token","or","API","key","configured","for","accessing","the","OpenAI","resource","."]
code: def validate(self, logger=None):
      """Validates the token or API key configured for accessing the OpenAI resource."""
  
      if self._key_configured:
          return
  
      if self._is_azure_ad:
          if (
              not self._api_token
              or self._api_token.expires_on < time.time() + 60
          ):
              from azure.core.exceptions import (
                  ClientAuthenticationError,
              )
  
              if logger:
                  logger.debug(
                      "Token for Azure AD is either expired or unset. Attempting to "
                      "acquire a new token."
                  )
              try:
                  self._api_token = self._credential.get_token(
                      "https://cognitiveservices.azure.com/.default"
                  )
              except ClientAuthenticationError as err:
                  raise mlflow.MlflowException(
                      "Unable to acquire a valid Azure AD token for the resource due to "
                      f"the following error: {err.message}"
                  ) from err
              os.environ["OPENAI_API_KEY"] = self._api_token.token
          if logger:
              logger.debug("Token refreshed successfully")
      else:
          raise mlflow.MlflowException(
              "OpenAI API key must be set in the ``OPENAI_API_KEY`` environment variable."
          )
  
imports: import json
  import os
  import time
  from contextlib import contextmanager
  from enum import Enum
  from typing import NamedTuple, Optional
  from unittest import mock
  import requests
  import mlflow
label_desc: Use image node_id 2 for calling the _OAITokenHolder obj's underlying member method code with example usage: obj.validate(logger) without return types