langchain/libs/community/langchain_community/tools/searchapi/tool.py
Erick Friis 600b7bdd61
all: test 3.13 ci (#27197)
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-10-25 12:56:58 -07:00

70 lines
2.1 KiB
Python

"""Tool for the SearchApi.io search API."""
from typing import Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.tools import BaseTool
from pydantic import Field
from langchain_community.utilities.searchapi import SearchApiAPIWrapper
class SearchAPIRun(BaseTool): # type: ignore[override]
"""Tool that queries the SearchApi.io search API."""
name: str = "searchapi"
description: str = (
"Google search API provided by SearchApi.io."
"This tool is handy when you need to answer questions about current events."
"Input should be a search query."
)
api_wrapper: SearchApiAPIWrapper
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the tool."""
return 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)
class SearchAPIResults(BaseTool): # type: ignore[override]
"""Tool that queries the SearchApi.io search API and returns JSON."""
name: str = "searchapi_results_json"
description: str = (
"Google search API provided by SearchApi.io."
"This tool is handy when you need to answer questions about current events."
"The input should be a search query and the output is a JSON object "
"with the query results."
)
api_wrapper: SearchApiAPIWrapper = Field(default_factory=SearchApiAPIWrapper)
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__()