from langchain_core.tools import tool from langchain.tools import tool import os from langchain_community.tools.tavily_search import TavilySearchResults from langchain_community.document_loaders import YoutubeLoader from langchain_community.document_loaders import ArxivLoader, WikipediaLoader from dotenv import load_dotenv @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(input=query) formatted_search_docs = "\n\n---\n\n".join( [ f'\n{doc["content"]}\n' for doc in search_docs ] ) return {"web_results": formatted_search_docs} @tool def youtube_transcription_tool(url: str) -> str: """ This tool returns transcript of the youtube video. Args: url: youtube video url """ loader = YoutubeLoader.from_youtube_url(url, add_video_info=False ) return loader.load()[0].page_content @tool def arxiv_search(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'\n{doc.page_content}\n' for doc in search_docs ] ) return {"arxiv_results": formatted_search_docs} @tool def wiki_search(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'\n{doc.page_content}\n' for doc in search_docs ] ) return {"wiki_results": formatted_search_docs} # Export the tools in a list TOOLS = [ web_search, wiki_search, arxiv_search, youtube_transcription_tool ]