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__()