Source code for langchain_community.tools.google_serper.tool

"""Tool for the Serper.dev Google Search API."""

from typing import Optional

from langchain_core.callbacks import (
    AsyncCallbackManagerForToolRun,
    CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import Field
from langchain_core.tools import BaseTool

from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper


[docs]class GoogleSerperRun(BaseTool): """Tool that queries the Serper.dev Google search API.""" name: str = "google_serper" description: str = ( "A low-cost Google Search API." "Useful for when you need to answer questions about current events." "Input should be a search query." ) api_wrapper: GoogleSerperAPIWrapper def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" return str(self.api_wrapper.run(query)) async def _arun( self, query: str, run_manager: Optional[AsyncCallbackManagerForToolRun] = None, ) -> str: """Use the tool asynchronously.""" return (await self.api_wrapper.arun(query)).__str__()
[docs]class GoogleSerperResults(BaseTool): """Tool that queries the Serper.dev Google Search API and get back json.""" name: str = "google_serper_results_json" description: str = ( "A low-cost Google Search API." "Useful for when you need to answer questions about current events." "Input should be a search query. Output is a JSON object of the query results" ) api_wrapper: GoogleSerperAPIWrapper = Field(default_factory=GoogleSerperAPIWrapper) def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" return str(self.api_wrapper.results(query)) async def _arun( self, query: str, run_manager: Optional[AsyncCallbackManagerForToolRun] = None, ) -> str: """Use the tool asynchronously.""" return (await self.api_wrapper.aresults(query)).__str__()