Convert_pydantic_to_openai_function is deprecated

Short Course Q&A Functions, Tools and Agents with LangChain
1

In the chapter about tagging, when I try to run the examples locally with the latest version of Langchain, I get a deprecation warning that convert_pydantic_to_openai_function is going away. The message says to use convert_to_openai_function. I was able to convert the extraction example to use that function and the @tool decorator. However, It only seems to pull a single name, age from the text indepently of what I put in pass to the model. Any ideas would be appreciated. Here is the code:

from langchain.tools import tool
from langchain_core.prompts import ChatPromptTemplate
from langchain.output_parsers.openai_functions import JsonOutputFunctionsParser
from langchain_core.utils.function_calling import convert_to_openai_function
from pprint import pprint

from langchain_openai import ChatOpenAI
model = ChatOpenAI(temperature=0)


@tool
def info(name: str, age: int = None):
    """Information to extract."""
    return [{"name": name, "age": age}]


def with_decorator():
    print(info.name)
    print(info.description)
    print(info.args)

    tools = [info]
    extraction_functions = [convert_to_openai_function(t) for t in tools]
    pprint(extraction_functions)

    extraction_model = model.bind(functions=extraction_functions, function_call={"name": "info"})

    # print(info.run({"name": "Tom", "age": 20}))
    # print(extraction_model.invoke("Joe is 30, his mom is Martha"))

    prompt = ChatPromptTemplate.from_messages([
        ("system", "Extract the relevant information, if not explicitly provided do not guess. Extract partial info"),
        ("human", "{input}")
    ])

    extraction_chain = prompt | extraction_model | JsonOutputFunctionsParser()
    # print(extraction_chain.invoke({"input": "Joe is 30, his mom is Martha"}))
    print(extraction_chain.invoke({"input": "Tom is 20. Joe is 30"}))