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restructuring
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from dotenv import load_dotenv
from langchain_community.document_loaders import ArxivLoader, WikipediaLoader
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_core.tools import tool
load_dotenv()
@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) -> int:
"""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) -> str:
"""Tool to search Wikipedia for a query about a known or historical person or subject 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) -> str:
"""Search Tavily for a query and return maximum 3 results.
Args:
query: The search query."""
search_docs = TavilySearchResults(max_results=3).invoke(query=query)
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 {"web_results": formatted_search_docs}
@tool
def arvix_search(query: str) -> str:
"""Tool to search Arxiv for a query about a research paper or article and return maximum 3 results.
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.get("source", None)}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
# for doc in search_docs
# ])
# return {"arvix_results": formatted_search_docs}
return search_docs