What causes this Attribute Error encountered when implementing LangChain's OpenAI LLM wrapper?

This is my first post here. I'm building a Python window application with PyQt5 that implements interactions with the OpenAI completions endpoint. So far, any code that I've written myself has performed fine, and I was reaching the point where I wanted to start implementing long-term memory for conversational interactions. I started by just running my own chain of prompts for categorizing and writing topical subjects and summaries to text files, but I decided it best to try exploring open source options to see how the programming community is managing things. This led me to LangChain, which seems to have some popular support behind it and already implements many features that I intend.

However, I have not had even the tiniest bit of success with it yet. Even the most simple examples don't perform, regardless of what context I'm implementing it in (within a class, outside a class, in an asynchronous loop, to the console, to my text browsers within the main window, whatever) I always get the same error message.

The simplest possible example:

import os
from langchain.llms import OpenAI
from local import constants #For API key
os.environ["OPENAI_API_KEY"] = constants.OPENAI_API_KEY
davinci = OpenAI(model_name= 'text-davinci-003', verbose=True, temperature=0.6)
text = "Write me a story about a guy who is frustrated with Python."
print("Prompt: " + text)
print(davinci(text))

It capably instantiates the wrapper and prints the prompt to the console, but at any point a command is sent through the wrapper's functions to receive generated text, it encounters this AttributeError.

Here is the traceback:

Traceback (most recent call last):
  File "D:\Dropbox\Pycharm Projects\workspace\main.py", line 16, in <module>
    print(davinci(text))
  File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\base.py", line 255, in __call__
    return self.generate([prompt], stop=stop).generations[0][0].text
  File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\base.py", line 128, in generate
    raise e
  File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\base.py", line 125, in generate
    output = self._generate(prompts, stop=stop)
  File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\openai.py", line 259, in _generate
    response = self.completion_with_retry(prompt=_prompts, **params)
  File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\openai.py", line 200, in completion_with_retry
    retry_decorator = self._create_retry_decorator()
  File "D:\Dropbox\Pycharm Projects\workspace\venv\lib\site-packages\langchain\llms\openai.py", line 189, in _create_retry_decorator
    retry_if_exception_type(openai.error.Timeout)
AttributeError: module 'openai.error' has no attribute 'Timeout'

I don't expect that there is a fault in the LangChain library, because it seems like nobody else has experienced this problem. I imagine I may have some dependency issue? Or I do notice that others using the LangChain library are doing so in a notebook development environment, and my lack of familiarity in that regard is making me overlook some fundamental expectation of the library's use?
Any advice is welcome! Thanks!

What I tried: I initially just replaced my own function for managing calls to the completion endpoint with one that issued the calls through LangChain's llm wrapper. I expected it to work as easily as my own code had, but I received that error. I then stripped everything apart layer by layer attempting to instantiate the wrapper at every scope of the program, then I attempted to make the calls in an asynchronous function through a loop that waited to completion, and no matter what, I always get that same error message.

I think it might be something about your current installed versions of Python, OpenAI, and/or LangChain. Maybe try using a newer version of Python and OpenAI. I'm new to Python and these things but hopefully I could help.