AI-Agents-Course / tools.py
hieudx7
update f-string
74b4eaa
from langchain_community.tools import DuckDuckGoSearchResults
from langchain_community.document_loaders import WikipediaLoader
from langchain_community.document_loaders import ArxivLoader
from langchain_core.documents import Document
SEP_CHAR = "\n\n---\n\n"
def multiply(a: int, b: int) -> int:
"""Multiply two numbers.
Args:
a: first int
b: second int
"""
return a * b
def add(a: int, b: int) -> int:
"""Add two numbers.
Args:
a: first int
b: second int
"""
return a + b
def subtract(a: int, b: int) -> int:
"""Subtract two numbers.
Args:
a: first int
b: second int
"""
return a - b
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
def modulus(a: int, b: int) -> int:
"""Get the modulus of two numbers.
Args:
a: first int
b: second int
"""
return a % b
def wiki_search(query: str) -> dict:
"""Search Wikipedia for a query and return maximum 2 results.
Args:
query: The search query."""
search_docs: list[Document] = WikipediaLoader(query=query, load_max_docs=2).load()
formatted_search_docs = SEP_CHAR.join(
[
f'<Document source="{doc.metadata["source"]}"/>\n{doc.page_content}\n</Document>'
for doc in search_docs
])
return formatted_search_docs
def web_search(query: str) -> dict:
"""Search Web for a query and return maximum 3 results.
Args:
query: The search query."""
search_docs: list[dict] = DuckDuckGoSearchResults(num_results=3, output_format='list').invoke(input=query)
formatted_search_docs = SEP_CHAR.join(
[
f'<Document source="{doc["link"]}" title="{doc.get("title", "")}"/>\n{doc["snippet"]}\n</Document>'
for doc in search_docs
])
return formatted_search_docs
def arvix_search(query: str) -> dict:
"""Search Arxiv for a query and return maximum 3 result.
Args:
query: The search query."""
search_docs: list[Document] = ArxivLoader(query=query).load()
formatted_search_docs = SEP_CHAR.join(
[
f'<Document title="{doc.metadata["Title"]}" authors="{doc.metadata.get("Authors", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
for doc in search_docs
])
return formatted_search_docs
tools = [
multiply,
add,
subtract,
divide,
modulus,
wiki_search,
web_search,
arvix_search,
]