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: Generate a reply using code execution.
docstr_tok: ["Generate","a","reply","using","code","execution","."]
code: def generate_code_execution_reply(
      self,
      messages: Optional[List[Dict]] = None,
      sender: Optional[Agent] = None,
      config: Optional[Union[Dict, Literal[False]]] = None,
  ):
      """Generate a reply using code execution."""
      code_execution_config = (
          config if config is not None else self._code_execution_config
      )
      if code_execution_config is False:
          return False, None
      if messages is None:
          messages = self._oai_messages[sender]
      last_n_messages = code_execution_config.pop("last_n_messages", 1)
  
      messages_to_scan = last_n_messages
      if last_n_messages == "auto":
          # Find when the agent last spoke
          messages_to_scan = 0
          for i in range(len(messages)):
              message = messages[-(i + 1)]
              if "role" not in message:
                  break
              elif message["role"] != "user":
                  break
              else:
                  messages_to_scan += 1
  
      # iterate through the last n messages in reverse
      # if code blocks are found, execute the code blocks and return the output
      # if no code blocks are found, continue
      for i in range(min(len(messages), messages_to_scan)):
          message = messages[-(i + 1)]
          if not message["content"]:
              continue
          code_blocks = extract_code(message["content"])
          if len(code_blocks) == 1 and code_blocks[0][0] == UNKNOWN:
              continue
  
          # found code blocks, execute code and push "last_n_messages" back
          exitcode, logs = self.execute_code_blocks(code_blocks)
          code_execution_config["last_n_messages"] = last_n_messages
          exitcode2str = (
              "execution succeeded"
              if exitcode == 0
              else "execution failed"
          )
          return (
              True,
              f"exitcode: {exitcode} ({exitcode2str})\nCode output: {logs}",
          )
  
      # no code blocks are found, push last_n_messages back and return.
      code_execution_config["last_n_messages"] = last_n_messages
  
      return False, None
  
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 26 for calling the ConversableAgent obj's underlying member method code with example usage: obj.generate_code_execution_reply(messages, sender, config) and returns: False,  None, False,  None, True,  str, exitcode, str, exitcode2str, str, logs