class_docstr: Base class to implement a new LLM.
docstr: Return True if it is valid python code.
  Args:
      string (str):
  
  Returns (bool): True if Python Code otherwise False
docstr_tok: ["Return","True","if","it","is","valid","python","code",".","Args",":","string","(","str",")",":","Returns","(","bool",")",":","True","if","Python","Code","otherwise","False"]
code: def _is_python_code(self, string):
      """
      Return True if it is valid python code.
      Args:
          string (str):
  
      Returns (bool): True if Python Code otherwise False
  
      """
      try:
          ast.parse(string)
          return True
      except SyntaxError:
          return False
  
imports: import os
  import ast
  import re
  from abc import abstractmethod
  from typing import Any, Dict, Optional, Union, Mapping, Tuple
  import requests
  from ..exceptions import APIKeyNotFoundError, MethodNotImplementedError, NoCodeFoundError, LLMResponseHTTPError
  from ..helpers.openai import is_openai_v1
  from ..helpers.openai_info import openai_callback_var
  from ..prompts.base import AbstractPrompt
label_desc: Use image node_id 4 for calling the LLM obj's underlying member method code with example usage: obj._is_python_code(string) and returns: True, False