code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.all_models = []
      self.chat_completion_models = []
      self.supported_ft_models = []
      self.default_model = "meta-llama/Llama-2-7b-chat-hf"
      self.base_api = ANYSCALE_API_BASE
      self.default_mode = "default"  # can also be 'conversational' or 'conversational-full'
      self.supported_modes = [
          "default",
          "conversational",
          "conversational-full",
      ]
      self.rate_limit = 25  # requests per minute
      self.max_batch_size = 20
      self.default_max_tokens = 100
  
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 1 to create a new AnyscaleEndpointsHandler object from inherited base classes: OpenAIHandler with example: obj = AnyscaleEndpointsHandler()