class_docstr: Base class to implement a new LLM.
docstr: Execute the LLM with given prompt.
  
  Args:
      instruction (AbstractPrompt): A prompt object with instruction for LLM.
      suffix (str, optional): Suffix. Defaults to "".
  
  Raises:
      MethodNotImplementedError: Call method has not been implemented
docstr_tok: ["Execute","the","LLM","with","given","prompt",".","Args",":","instruction","(","AbstractPrompt",")",":","A","prompt","object","with","instruction","for","LLM",".","suffix","(","str",",","optional",")",":","Suffix",".","Defaults","to","``","''",".","Raises",":","MethodNotImplementedError",":","Call","method","has","not","been","implemented"]
code: def call(self, instruction: AbstractPrompt, suffix: str = "") -> str:
      """
      Execute the LLM with given prompt.
  
      Args:
          instruction (AbstractPrompt): A prompt object with instruction for LLM.
          suffix (str, optional): Suffix. Defaults to "".
  
      Raises:
          MethodNotImplementedError: Call method has not been implemented
  
      """
      raise MethodNotImplementedError(
          "Call method has not been implemented"
      )
  
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 7 for calling the LLM obj's underlying member method code with example usage: obj.call(instruction, suffix) without return types