code: def __init__(self, opt, agent, bot):
      super().__init__(opt, agent)
  
      # num_turns turns for a single side, and really it appears to be
      # (num_turns + 1) * 2 total b/c of the "Hi!" and first bot utterance
  
      num_turns = opt["num_turns"]
      max_resp_time = opt["max_resp_time"]
  
      self.opt = opt
      self.bot = bot
      self.task_turn_idx = 0
      self.num_turns = num_turns
  
      self.agent.agent_id = "Speaker 1"
      self.bot.agent_id = "Speaker 2"
  
      self.dialog = []
      self.tag = f"conversation_id {agent.mephisto_agent.db_id}"
      self.task_type = "sandbox" if opt["is_sandbox"] else "live"
      self.chat_done = False
      self.check_acceptability = opt["check_acceptability"]
      self.acceptability_checker = AcceptabilityChecker()
      self.block_qualification = opt["block_qualification"]
  
      self.final_chat_data = None
      # TODO: remove this attribute once chat data is only stored in the Mephisto
      #  TaskRun for this HIT (see .get_custom_task_data() docstring for more
      #  information)
  
      # below are timeout protocols
      self.max_resp_time = max_resp_time  # in secs
      print(
          f"Creating {self.__class__.__name__} for tag {self.tag} with {num_turns} turns."
      )
  
imports: import time
  import os
  import json
  from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Optional, Tuple
  import numpy
  from parlai.core.agents import create_agent_from_shared
  from parlai.core.message import Message
  from parlai.core.worlds import validate
  from parlai.crowdsourcing.utils.acceptability import AcceptabilityChecker
  from parlai.crowdsourcing.utils.worlds import CrowdOnboardWorld, CrowdTaskWorld
  from parlai.crowdsourcing.tasks.model_chat.bot_agent import TurkLikeAgent
  from parlai.crowdsourcing.tasks.model_chat.constants import ONBOARD_FAIL, ONBOARD_SUCCESS
  from parlai.crowdsourcing.tasks.model_chat.utils import Compatibility
  from parlai.crowdsourcing.utils.mturk import get_mturk_id_from_mephisto_wrapper
  from typing import TYPE_CHECKING
label_desc: Use image node_id 1 to create a new BaseModelChatWorld object from inherited base classes: CrowdTaskWorld, ABC with example: obj = BaseModelChatWorld(opt, agent, bot)