support for llama-3.3

[lenadankin]

Hi,

I tried to use the new meta-llama/llama-3-3-70b-instruct model with langchain-ibm and got a somewhat odd behaviour when I use tool binding: even though I set tool_choice='auto', the model tried to use the tool in an obvious case where the tool should not be called.

    def multiply(a: int, b: int) -> int:
        """Multiply a and b.

        Args:
            a: first int
            b: second int
        """
        return a * b

    tool_calling_model = get_chat_model() # llama3-3 ChatWatsonx
    llm_with_tools = tool_calling_model.bind_tools([multiply],tool_choice="auto" )

    result = llm_with_tools.invoke("Hello")
    print(result)

The reply from the model is:
content='The provided functions are insufficient for me to answer the question.' additional_kwargs={} response_metadata={'token_usage': ....}
It would be odd for the model to decide to call completely unrelated tool for a relatively easy prompt, so maybe there's an issue with how tool_choice is handled.

My code uses the latest versions of langchain-ibm and ibm_watson_ai.
langchain-ibm==0.3.5
ibm_watsonx_ai==1.1.25

thanks!