class_docstr: (In preview) A class for generic conversable agents which can be configured as assistant or user proxy.
  
  After receiving each message, the agent will send a reply to the sender unless the msg is a termination msg.
  For example, AssistantAgent and UserProxyAgent are subclasses of this class,
  configured with different default settings.
  
  To modify auto reply, override `generate_reply` method.
  To disable/enable human response in every turn, set `human_input_mode` to "NEVER" or "ALWAYS".
  To modify the way to get human input, override `get_human_input` method.
  To modify the way to execute code blocks, single code block, or function call, override `execute_code_blocks`,
  `run_code`, and `execute_function` methods respectively.
  To customize the initial message when a conversation starts, override `generate_init_message` method.
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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.
      """
      if agent is None:
          self._oai_messages.clear()
      else:
          self._oai_messages[agent].clear()
  
imports: import asyncio
  import copy
  import functools
  import inspect
  import json
  import logging
  import re
  from collections import defaultdict
  from typing import Any, Awaitable, Callable, Dict, List, Literal, Optional, Tuple, Type, TypeVar, Union
  from ..None import OpenAIWrapper
  from ..code_utils import DEFAULT_MODEL, UNKNOWN, content_str, execute_code, extract_code, infer_lang
  from ..function_utils import get_function_schema, load_basemodels_if_needed, serialize_to_str
  from .agent import Agent
  from .._pydantic import model_dump
label_desc: Use image node_id 24 for calling the ConversableAgent obj's underlying member method code with example usage: obj.clear_history(agent) without return types