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: Execute a function call and return the result.
  
  Override this function to modify the way to execute function and tool calls.
  
  Args:
      func_call: a dictionary extracted from openai message at "function_call" or "tool_calls" with keys "name" and "arguments".
  
  Returns:
      A tuple of (is_exec_success, result_dict).
      is_exec_success (boolean): whether the execution is successful.
      result_dict: a dictionary with keys "name", "role", and "content". Value of "role" is "function".
  
  "function_call" deprecated as of [OpenAI API v1.1.0](https://github.com/openai/openai-python/releases/tag/v1.1.0)
  See https://platform.openai.com/docs/api-reference/chat/create#chat-create-function_call
docstr_tok: ["Execute","a","function","call","and","return","the","result",".","Override","this","function","to","modify","the","way","to","execute","function","and","tool","calls",".","Args",":","func_call",":","a","dictionary","extracted","from","openai","message","at","``","function_call","''","or","``","tool_calls","''","with","keys","``","name","''","and","``","arguments","''",".","Returns",":","A","tuple","of","(","is_exec_success",",","result_dict",")",".","is_exec_success","(","boolean",")",":","whether","the","execution","is","successful",".","result_dict",":","a","dictionary","with","keys","``","name","''",",","``","role","''",",","and","``","content","''",".","Value","of","``","role","''","is","``","function","''",".","``","function_call","''","deprecated","as","of","[","OpenAI","API","v1.1.0","]","(","https",":","\/\/github.com\/openai\/openai-python\/releases\/tag\/v1.1.0",")","See","https",":","\/\/platform.openai.com\/docs\/api-reference\/chat\/create","#","chat-create-function_call"]
code: def execute_function(
      self, func_call, verbose: bool = False
  ) -> Tuple[bool, Dict[str, str]]:
      """Execute a function call and return the result.
  
      Override this function to modify the way to execute function and tool calls.
  
      Args:
          func_call: a dictionary extracted from openai message at "function_call" or "tool_calls" with keys "name" and "arguments".
  
      Returns:
          A tuple of (is_exec_success, result_dict).
          is_exec_success (boolean): whether the execution is successful.
          result_dict: a dictionary with keys "name", "role", and "content". Value of "role" is "function".
  
      "function_call" deprecated as of [OpenAI API v1.1.0](https://github.com/openai/openai-python/releases/tag/v1.1.0)
      See https://platform.openai.com/docs/api-reference/chat/create#chat-create-function_call
      """
      func_name = func_call.get("name", "")
      func = self._function_map.get(func_name, None)
  
      is_exec_success = False
      if func is not None:
          # Extract arguments from a json-like string and put it into a dict.
          input_string = self._format_json_str(
              func_call.get("arguments", "{}")
          )
          try:
              arguments = json.loads(input_string)
          except json.JSONDecodeError as e:
              arguments = None
              content = f"Error: {e}\n You argument should follow json format."
  
          # Try to execute the function
          if arguments is not None:
              print(
                  colored(
                      f"\n>>>>>>>> EXECUTING FUNCTION {func_name}...",
                      "magenta",
                  ),
                  flush=True,
              )
              try:
                  content = func(**arguments)
                  is_exec_success = True
              except Exception as e:
                  content = f"Error: {e}"
      else:
          content = f"Error: Function {func_name} not found."
  
      if verbose:
          print(
              colored(
                  f"\nInput arguments: {arguments}\nOutput:\n{content}",
                  "magenta",
              ),
              flush=True,
          )
  
      return is_exec_success, {
          "name": func_name,
          "role": "function",
          "content": str(content),
      }
  
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 37 for calling the ConversableAgent obj's underlying member method code with example usage: obj.execute_function(func_call, verbose) and returns: is_exec_success,  dict