code: def _get_supported_llms():
      import langchain.chat_models
      import langchain.llms
  
      llms = {
          langchain.llms.openai.OpenAI,
          langchain.llms.huggingface_hub.HuggingFaceHub,
      }
  
      if hasattr(langchain.llms, "Databricks"):
          llms.add(langchain.llms.Databricks)
  
      if hasattr(langchain.llms, "Mlflow"):
          llms.add(langchain.llms.Mlflow)
  
      if hasattr(langchain.chat_models, "ChatDatabricks"):
          llms.add(langchain.chat_models.ChatDatabricks)
  
      if hasattr(langchain.chat_models, "ChatMlflow"):
          llms.add(langchain.chat_models.ChatMlflow)
  
      return llms
  
imports: import json
  import logging
  import os
  import shutil
  import types
  from functools import lru_cache
  from importlib.util import find_spec
  from typing import Any, List, NamedTuple, Optional
  import cloudpickle
  import yaml
  from packaging import version
  import mlflow
  from mlflow.utils.class_utils import _get_class_from_string
label_desc: Use image node_id 11 for calling a global function with example usage: _get_supported_llms() and returns: llms