code: def streaming(
      self,
      logging_obj,
      api_base: str,
      data: dict,
      headers: dict,
      model_response: ModelResponse,
      model: str,
      timeout: float,
  ):
      with httpx.stream(
          url=f"{api_base}",
          json=data,
          headers=headers,
          method="POST",
          timeout=timeout,
      ) as response:
          if response.status_code != 200:
              raise OpenAIError(
                  status_code=response.status_code,
                  message=response.text,
              )
  
          streamwrapper = CustomStreamWrapper(
              completion_stream=response.iter_lines(),
              model=model,
              custom_llm_provider="text-completion-openai",
              logging_obj=logging_obj,
          )
          for transformed_chunk in streamwrapper:
              yield transformed_chunk
  
imports: from typing import Optional, Union, Any
  import types, time, json
  import httpx
  from .base import BaseLLM
  from litellm.utils import ModelResponse, Choices, Message, CustomStreamWrapper, convert_to_model_response_object, Usage
  from typing import Callable, Optional
  import aiohttp, requests
  import litellm
  from .prompt_templates.factory import prompt_factory, custom_prompt
  from openai import OpenAI, AsyncOpenAI
label_desc: Use image node_id 5 for calling the OpenAITextCompletion obj's underlying member method code with example usage: obj.streaming(logging_obj, api_base, data, headers, model_response, model, timeout) without return types