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: Invokes the OpenAI assistant to generate a reply based on the given messages.
  
  Args:
      messages: A list of messages in the conversation history with the sender.
      sender: The agent instance that sent the message.
      config: Optional configuration for message processing.
  
  Returns:
      A tuple containing a boolean indicating success and the assistant's reply.
docstr_tok: ["Invokes","the","OpenAI","assistant","to","generate","a","reply","based","on","the","given","messages",".","Args",":","messages",":","A","list","of","messages","in","the","conversation","history","with","the","sender",".","sender",":","The","agent","instance","that","sent","the","message",".","config",":","Optional","configuration","for","message","processing",".","Returns",":","A","tuple","containing","a","boolean","indicating","success","and","the","assistant","'s","reply","."]
code: def _invoke_assistant(
      self,
      messages: Optional[List[Dict]] = None,
      sender: Optional[Agent] = None,
      config: Optional[Any] = None,
  ) -> Tuple[bool, Union[str, Dict, None]]:
      """
      Invokes the OpenAI assistant to generate a reply based on the given messages.
  
      Args:
          messages: A list of messages in the conversation history with the sender.
          sender: The agent instance that sent the message.
          config: Optional configuration for message processing.
  
      Returns:
          A tuple containing a boolean indicating success and the assistant's reply.
      """
  
      if messages is None:
          messages = self._oai_messages[sender]
      unread_index = self._unread_index[sender] or 0
      pending_messages = messages[unread_index:]
  
      # Check and initiate a new thread if necessary
      if self._openai_threads.get(sender, None) is None:
          self._openai_threads[
              sender
          ] = self._openai_client.beta.threads.create(
              messages=[],
          )
      assistant_thread = self._openai_threads[sender]
      # Process each unread message
      for message in pending_messages:
          self._openai_client.beta.threads.messages.create(
              thread_id=assistant_thread.id,
              content=message["content"],
              role=message["role"],
          )
  
      # Create a new run to get responses from the assistant
      run = self._openai_client.beta.threads.runs.create(
          thread_id=assistant_thread.id,
          assistant_id=self._openai_assistant.id,
          # pass the latest system message as instructions
          instructions=self.system_message,
      )
  
      run_response_messages = self._get_run_response(
          assistant_thread, run
      )
      assert (
          len(run_response_messages) > 0
      ), "No response from the assistant."
  
      response = {
          "role": run_response_messages[-1]["role"],
          "content": "",
      }
      for message in run_response_messages:
          # just logging or do something with the intermediate messages?
          # if current response is not empty and there is more, append new lines
          if len(response["content"]) > 0:
              response["content"] += "\n\n"
          response["content"] += message["content"]
  
      self._unread_index[sender] = len(self._oai_messages[sender]) + 1
      return True, response
  
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 2 for calling the GPTAssistantAgent obj's underlying member method code with example usage: obj._invoke_assistant(messages, sender, config) and returns: True,  response