code: def finetune(
      self,
      df: Optional[pd.DataFrame] = None,
      args: Optional[Dict] = None,
  ) -> None:
      with self._anyscale_base_api():
          self._set_models(args.get("using", {}))
          super().finetune(df, args)
          # rewrite chat_completion_models to include the newly fine-tuned model
          args = self.model_storage.json_get("args")
          args["chat_completion_models"] = list(
              self.chat_completion_models
          ) + [args["model_name"]]
          self.model_storage.json_set("args", args)
  
imports: import os
  import openai
  import json
  import contextlib
  from typing import Optional, Dict
  import pandas
  from mindsdb.integrations.handlers.openai_handler.openai_handler import OpenAIHandler
  from mindsdb.integrations.handlers.openai_handler.constants import OPENAI_API_BASE
  from mindsdb.integrations.utilities.handler_utils import get_api_key
  from mindsdb.utilities import log
label_desc: Use image node_id 5 for calling the AnyscaleEndpointsHandler obj's underlying member method code with example usage: obj.finetune(df, args) without return types