TypeError: multiple bases have instance layout conflict. DOC: <Quick start code dont work with version langchain ==0.333>
Labels: name: area: doc loader, name: auto:bug, name: auto:documentation, name: area: models

### Issue with current documentation:

in https://python.langchain.com/docs/get_started/quickstart
in the section LLM / Chat Model
with the code 
from langchain.llms import OpenAI
from langchain.chat_models import ChatOpenAI

llm = OpenAI()
chat_model = ChatOpenAI()
# I recevce the error 
File [~/nghia_1660s_workspace/gates-llm-chatbots/.venv/lib/python3.10/site-packages/langchain/llms/base.py:40](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/home/nghia_1660s/nghia_1660s_workspace/gates-llm-chatbots/learn_langchain/~/nghia_1660s_workspace/gates-llm-chatbots/.venv/lib/python3.10/site-packages/langchain/llms/base.py:40)
     [29](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/home/nghia_1660s/nghia_1660s_workspace/gates-llm-chatbots/learn_langchain/~/nghia_1660s_workspace/gates-llm-chatbots/.venv/lib/python3.10/site-packages/langchain/llms/base.py:29) import yaml
     [30](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/home/nghia_1660s/nghia_1660s_workspace/gates-llm-chatbots/learn_langchain/~/nghia_1660s_workspace/gates-llm-chatbots/.venv/lib/python3.10/site-packages/langchain/llms/base.py:30) from tenacity import (
     [31](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/home/nghia_1660s/nghia_1660s_workspace/gates-llm-chatbots/learn_langchain/~/nghia_1660s_workspace/gates-llm-chatbots/.venv/lib/python3.10/site-packages/langchain/llms/base.py:31)     RetryCallState,
     [32](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/home/nghia_1660s/nghia_1660s_workspace/gates-llm-chatbots/learn_langchain/~/nghia_1660s_workspace/gates-llm-chatbots/.venv/lib/python3.10/site-packages/langchain/llms/base.py:32)     before_sleep_log,
ref='~/nghia_1660s_workspace/gates-llm-chatbots/.venv/lib/python3.10/site-packages/langchain/llms/base.py:0'>0</a>;32m   (...)
...
--> [106](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/usr/lib/python3.10/abc.py:106)     cls = super().__new__(mcls, name, bases, namespace, **kwargs)
    [107](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/usr/lib/python3.10/abc.py:107)     _abc_init(cls)
    [108](https://vscode-remote+ssh-002dremote-002bnghia-002d1660s.vscode-resource.vscode-cdn.net/usr/lib/python3.10/abc.py:108)     return cls

**TypeError: multiple bases have instance lay-out conflict**

### Idea or request for content:

The TypeError: multiple bases have instance lay-out conflict is the error for 
Here is an example illustrating the instance layout conflict in Python:

Let's say we have two extension types defined in C:

class Base1(object):
    __slots__ = ()
    _fields_ = ["field1"]

class Base2(object):
    __slots__ = ()
    _fields_ = ["field2"]
Now let's attempt multiple inheritance:

class Derived(Base1, Base2):
    __slots__ = ()
Here you will get TypeError: multiple bases have instance layout conflict.

This error is somewhat specific to extension types and it's due to violating multiple inheritance compatibility in Python under the hood when working with extension types. In simpler terms, Python is complaining about a conflict that occurs due to Base1 and Base2 having a different memory layout. Python doesn't know how to resolve this ambiguity or conflict, so it throws a TypeError.

I use python the python I use is 3.10.12