tool.py

from langchain_core.tools import tool
from langchain_community.utilities.duckduckgo_search import DuckDuckGoSearchAPIWrapper
from langchain_community.document_loaders.wikipedia import WikipediaLoader
from langchain_community.document_loaders.arxiv import ArxivLoader
from langchain_community.document_loaders.pubmed import PubMedLoader


## Simple algebra tools
@tool
def add(a: float, b: float) -> float: 
    """Add two numbers.
      
      Args:
          a: first float
          b: second float
    """
    return a + b

@tool
def substract(a: float, b: float) -> float: 
    """Substract two numbers.
      
      Args:
          a: first float
          b: second float
    """
    return a - b

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

@tool
def divide(a: float, b: float) -> float: 
    """Divide two numbers.
      
      Args:
          a: first float
          b: second float
    """
    if b == 0:
        raise ValueError("Cannot divide any number by zero.")
    return a / b

# Maybe add algebra tools???

## Search Tools
def DuckDuckGoSearchTool(query: str) -> str:
    """Search DuckDuckGo for a query and return maximum 3 results.
    
    Args:
        query: The search query.
    """
    results = DuckDuckGoSearchAPIWrapper().results(query = query, max_results=3)
    formatted_search_docs = "\n\n---\n\n".join(
        [
            f'<Document source="{res["link"]}" title="{res["title"]}">\n{res["snippet"]}\n</Document>'
            for res in results
        ])
    return {"web_results": formatted_search_docs}

@tool
def WikipediaSearchTool(query: str) -> str:
    """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 ArxivSearchTool(query: str) -> str:
    """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()
    formatted_search_docs = "\n\n---\n\n".join(
        [
            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
            for doc in search_docs
        ])
    return {"arvix_results": formatted_search_docs}

@tool
def PubmedSearchTool(query: str) -> str:
    """Search Arxiv for a query and return maximum 3 result.
    
    Args:
        query: The search query."""
    search_docs = PubMedLoader(query=query, load_max_docs=3).load()
    formatted_search_docs = "\n\n---\n\n".join(
        [
            f'<Document source="{doc.metadata["uid"]}" title="{doc.metadata["Title"]}"/>\n{doc.page_content[:1000]}\n</Document>'
            for doc in search_docs
        ])
    return {"pubmed_results": formatted_search_docs}