class_docstr: Base class to implement a new OpenAI LLM.
  
  LLM base class, this class is extended to be used with OpenAI API.
docstr: Get the parameters used to invoke the model.
docstr_tok: ["Get","the","parameters","used","to","invoke","the","model","."]
code: def _invocation_params(self) -> Dict[str, Any]:
      """Get the parameters used to invoke the model."""
      openai_creds: Dict[str, Any] = {}
      if not is_openai_v1():
          openai_creds.update(
              {
                  "api_key": self.api_token,
                  "api_base": self.api_base,
              }
          )
  
      return {**openai_creds, **self._default_params}
  
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 3 for calling the BaseOpenAI obj's underlying member method code with example usage: obj._invocation_params() and returns: dict