'OpenAIMultiModal' object has no attribute '__pydantic_private__', lavague 1.1.19 python 3.12.7

[pedron1tor]

Describe the bug
I cannot even use the basic demo workflow with Groq
To Reproduce
Versions:
pip 24.3.1
python-version: 3.12.7
LaVague version: 1.1.19
Steps to reproduce the behavior:

1. Install requirements
   pip install llama-index-embeddings-huggingface
   pip install llama-index-llms-groq
   pip install lavague
   requirements.txt: https://gist.github.com/pedron1tor/82e4860195a3f485d835986e8dc88499
2. Use this code.

import lavague
from lavague.drivers.selenium import SeleniumDriver
from lavague.core import ActionEngine, WorldModel
from lavague.core.agents import WebAgent
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
from llama_index.llms.groq import Groq
driver = SeleniumDriver(headless=True)
llm = Groq(model="mixtral-8x7b-32768")

embedding = HuggingFaceEmbedding(
    model_name="BAAI/bge-small-en-v1.5"
)

action_engine = ActionEngine(driver=driver, llm=llm, embedding=embedding)
world_model = WorldModel()

# Create Web Agent
agent = WebAgent(world_model, action_engine)

# Set URL
agent.get("https://huggingface.co/docs")

# Launch the agent in the Agent Gradio Demo mode
agent.demo("Go on the quicktour of PEFT") 

Expected behavior
I would expect the code to work, unless I'm doing something wrong which I doubt.

Error code

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[2], line 14
      8 llm = Groq(model="mixtral-8x7b-32768")
     10 embedding = HuggingFaceEmbedding(
     11     model_name="BAAI/bge-small-en-v1.5"
     12 )
---> 14 action_engine = ActionEngine(driver=driver, llm=llm, embedding=embedding)
     15 world_model = WorldModel()
     17 # Create Web Agent

File ~/venv/lib/python3.12/site-packages/lavague/core/action_engine.py:84, in ActionEngine.__init__(self, driver, navigation_engine, python_engine, navigation_control, llm, embedding, retriever, prompt_template, extractor, time_between_actions, n_attempts, logger)
     72     navigation_engine = NavigationEngine(
     73         driver=driver,
     74         llm=llm,
   (...)
     81         embedding=embedding,
     82     )
     83 if python_engine is None:
---> 84     python_engine = PythonEngine(driver, llm, embedding)
     85 if navigation_control is None:
     86     navigation_control = NavigationControl(
     87         driver,
     88         time_between_actions=time_between_actions,
     89         navigation_engine=navigation_engine,
     90     )

File ~/venv/lib/python3.12/site-packages/lavague/core/python_engine.py:66, in PythonEngine.__init__(self, driver, llm, embedding, logger, clean_html, ocr_mm_llm, ocr_llm, display, batch_size, confidence_threshold, temp_screenshots_path, n_search_attemps)
     64 self.logger = logger
     65 self.display = display
---> 66 self.ocr_mm_llm = ocr_mm_llm or OpenAIMultiModal(
     67     model="gpt-4o-mini", temperature=DEFAULT_TEMPERATURE
     68 )
     69 self.ocr_llm = ocr_llm or self.llm
     70 self.batch_size = batch_size

File ~/venv/lib/python3.12/site-packages/llama_index/multi_modal_llms/openai/base.py:107, in OpenAIMultiModal.__init__(self, model, temperature, max_new_tokens, additional_kwargs, context_window, max_retries, timeout, image_detail, api_key, api_base, api_version, messages_to_prompt, completion_to_prompt, callback_manager, default_headers, http_client, **kwargs)
     87 def __init__(
     88     self,
     89     model: str = "gpt-4-vision-preview",
   (...)
    105     **kwargs: Any,
    106 ) -> None:
--> 107     self._messages_to_prompt = messages_to_prompt or generic_messages_to_prompt
    108     self._completion_to_prompt = completion_to_prompt or (lambda x: x)
    109     api_key, api_base, api_version = resolve_openai_credentials(
    110         api_key=api_key,
    111         api_base=api_base,
    112         api_version=api_version,
    113     )

File ~/venv/lib/python3.12/site-packages/pydantic/main.py:901, in BaseModel.__setattr__(self, name, value)
    896     raise AttributeError(
    897         f'{name!r} is a ClassVar of `{self.__class__.__name__}` and cannot be set on an instance. '
    898         f'If you want to set a value on the class, use `{self.__class__.__name__}.{name} = value`.'
    899     )
    900 elif not _fields.is_valid_field_name(name):
--> 901     if self.__pydantic_private__ is None or name not in self.__private_attributes__:
    902         _object_setattr(self, name, value)
    903     else:

File ~/venv/lib/python3.12/site-packages/pydantic/main.py:889, in BaseModel.__getattr__(self, item)
    887 else:
    888     if hasattr(self.__class__, item):
--> 889         return super().__getattribute__(item)  # Raises AttributeError if appropriate
    890     else:
    891         # this is the current error
    892         raise AttributeError(f'{type(self).__name__!r} object has no attribute {item!r}')

AttributeError: 'OpenAIMultiModal' object has no attribute '__pydantic_private__'