docstr: Extracts and Generates result
  Args:
      func_name (str): function name that is executed
      result (Any): function output response
  
  Returns:
      dict: dictionary with information about the function execution
docstr_tok: ["Extracts","and","Generates","result","Args",":","func_name","(","str",")",":","function","name","that","is","executed","result","(","Any",")",":","function","output","response","Returns",":","dict",":","dictionary","with","information","about","the","function","execution"]
code: def _generate_exec_step(self, func_name: str, result: Any) -> dict:
      """
      Extracts and Generates result
      Args:
          func_name (str): function name that is executed
          result (Any): function output response
  
      Returns:
          dict: dictionary with information about the function execution
      """
  
      step = {"type": exec_steps[func_name]}
  
      if func_name == "_get_prompt":
          step["prompt_class"] = result.__class__.__name__
          step["generated_prompt"] = result.to_string()
  
      elif func_name == "_retry_run_code":
          self._func_exec_count["_retry_run_code"] += 1
  
          step[
              "type"
          ] = f"{exec_steps[func_name]} ({self._func_exec_count['_retry_run_code']})"
          step["code_generated"] = result
  
      elif func_name in {"cache_hit", "generate_code"}:
          step["code_generated"] = result
  
      elif func_name == "execute_code":
          self._response = self._format_response(result)
          step["result"] = self._response
  
      return step
  
imports: import base64
  import json
  import os
  import time
  from typing import Any, List, TypedDict, Union
  import uuid
  import requests
  from collections import defaultdict
label_desc: Use image node_id 9 for calling the QueryExecTracker obj's underlying member method code with example usage: obj._generate_exec_step(func_name, result) and returns: step