tools.py

from langchain_core.tools import tool
from langchain_community.document_loaders import WikipediaLoader, ArxivLoader
from langchain_community.tools import DuckDuckGoSearchResults
from langchain_community.utilities import DuckDuckGoSearchAPIWrapper

@tool
def multiply(a: int, b: int) -> int:
    """Multiply two numbers.
    Args:
        a: first int
        b: second int
    """
    return a * b

@tool
def add(a: int, b: int) -> int:
    """Add two numbers.

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

@tool
def subtract(a: int, b: int) -> int:
    """Subtract two numbers.

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

@tool
def divide(a: int, b: int) -> float:
    """Divide two numbers.

    Args:
        a: first int
        b: second int
    """
    if b == 0:
        raise ValueError("Cannot divide by zero.")
    return a / b

@tool
def modulus(a: int, b: int) -> int:
    """Get the modulus of two numbers.

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

@tool
def wiki_search(query: str) -> dict:
    """Search Wikipedia for a query and return maximum 2 results.

    Args:
        query: The search query."""
    search_docs = WikipediaLoader(query=query, load_max_docs=2).load()
    formatted_search_docs = "\n\n---\n\n".join(
        [
            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
            for doc in search_docs
        ])
    return {"wiki_results": formatted_search_docs}

@tool
def web_search(query: str) -> dict:
    """Search DuckDuckGo for a query and return maximum 3 results.

    Args:
        query: The search query."""

    wrapper = DuckDuckGoSearchAPIWrapper(max_results=3)
    search_docs = DuckDuckGoSearchResults(api_wrapper=wrapper, output_format="list").invoke(input=query)
    formatted_search_docs = "\n\n---\n\n".join(
        [
            f'<Document source="{doc["link"]}" page="{doc.get("page", "")}"/>\n{doc["snippet"]}\n</Document>'
            for doc in search_docs
        ])
    return {"web_results": formatted_search_docs}

@tool
def arvix_search(query: str) -> dict:
    """Search Arxiv for a query and return maximum 3 result.

    Args:
        query: The search query."""
    search_docs = ArxivLoader(query=query, load_max_docs=3).load()
    # print(search_docs[0].metadata)
    formatted_search_docs = "\n\n---\n\n".join(
        [
            f'<Document source="{doc.metadata["Title"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
            for doc in search_docs
        ])
    return {"arvix_results": formatted_search_docs}

# if __name__ == "__main__":
#     question = "reasoning"
#     question = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
#     print(arvix_search(question))