class_docstr: An experimental AutoGen agent class that leverages the OpenAI Assistant API for conversational capabilities.
  This agent is unique in its reliance on the OpenAI Assistant for state management, differing from other agents like ConversableAgent.
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docstr: Clear the chat history of the agent.
  
  Args:
      agent: the agent with whom the chat history to clear. If None, clear the chat history with all agents.
docstr_tok: ["Clear","the","chat","history","of","the","agent",".","Args",":","agent",":","the","agent","with","whom","the","chat","history","to","clear",".","If","None",",","clear","the","chat","history","with","all","agents","."]
code: def clear_history(self, agent: Optional[Agent] = None):
      """Clear the chat history of the agent.
  
      Args:
          agent: the agent with whom the chat history to clear. If None, clear the chat history with all agents.
      """
      super().clear_history(agent)
      if self._openai_threads.get(agent, None) is not None:
          # Delete the existing thread to start fresh in the next conversation
          thread = self._openai_threads[agent]
          logger.info("Clearing thread %s", thread.id)
          self._openai_client.beta.threads.delete(thread.id)
          self._openai_threads.pop(agent)
          self._unread_index[agent] = 0
  
imports: from collections import defaultdict
  import openai
  import json
  import time
  import logging
  from autogen import OpenAIWrapper
  from autogen.oai.openai_utils import retrieve_assistants_by_name
  from autogen.agentchat.agent import Agent
  from autogen.agentchat.assistant_agent import ConversableAgent
  from autogen.agentchat.assistant_agent import AssistantAgent
  from typing import Dict, Optional, Union, List, Tuple, Any
label_desc: Use image node_id 8 for calling the GPTAssistantAgent obj's underlying member method code with example usage: obj.clear_history(agent) without return types