class_docstr: (Experimental) Retrieve Assistant agent, designed to solve a task with LLM.
  
  RetrieveAssistantAgent is a subclass of AssistantAgent configured with a default system message.
  The default system message is designed to solve a task with LLM,
  including suggesting python code blocks and debugging.
  `human_input_mode` is default to "NEVER"
  and `code_execution_config` is default to False.
  This agent doesn't execute code by default, and expects the user to execute the code.
class_docstr_tok: ["(","Experimental",")","Retrieve","Assistant","agent",",","designed","to","solve","a","task","with","LLM",".","RetrieveAssistantAgent","is","a","subclass","of","AssistantAgent","configured","with","a","default","system","message",".","The","default","system","message","is","designed","to","solve","a","task","with","LLM",",","including","suggesting","python","code","blocks","and","debugging",".","`","human_input_mode","`","is","default","to","``","NEVER","''","and","`","code_execution_config","`","is","default","to","False",".","This","agent","does","n't","execute","code","by","default",",","and","expects","the","user","to","execute","the","code","."]
code: def _generate_retrieve_assistant_reply(
      self,
      messages: Optional[List[Dict]] = None,
      sender: Optional[Agent] = None,
      config: Optional[Any] = None,
  ) -> Tuple[bool, Union[str, Dict, None]]:
      if config is None:
          config = self
      if messages is None:
          messages = self._oai_messages[sender]
      message = messages[-1]
      if "exitcode: 0 (execution succeeded)" in message.get(
          "content", ""
      ):
          # Terminate the conversation when the code execution succeeds. Although sometimes even when the
          # code execution succeeds, the task is not solved, but it's hard to tell. If the human_input_mode
          # of RetrieveUserProxyAgent is "TERMINATE" or "ALWAYS", user can still continue the conversation.
          return True, "TERMINATE"
      elif (
          "UPDATE CONTEXT" in message.get("content", "")[-20:].upper()
          or "UPDATE CONTEXT" in message.get("content", "")[:20].upper()
      ):
          return True, "UPDATE CONTEXT"
      else:
          return False, None
  
imports: from autogen.agentchat.agent import Agent
  from autogen.agentchat.assistant_agent import AssistantAgent
  from typing import Dict, Optional, Union, List, Tuple, Any
label_desc: Use image node_id 2 for calling the RetrieveAssistantAgent obj's underlying member method code with example usage: obj._generate_retrieve_assistant_reply(messages, sender, config) and returns: True,  str, True,  str, False,  None