Source code for langchain_community.tools.searx_search.tool
"""Tool for the SearxNG search API."""
from typing import Optional, Type
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.searx_search import SearxSearchWrapper
[docs]class SearxSearchRun(BaseTool):
"""Tool that queries a Searx instance."""
name: str = "searx_search"
description: str = (
"A meta search engine."
"Useful for when you need to answer questions about current events."
"Input should be a search query."
)
wrapper: SearxSearchWrapper
kwargs: dict = Field(default_factory=dict)
args_schema: Type[BaseModel] = SearxSearchQueryInput
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the tool."""
return self.wrapper.run(query, **self.kwargs)
async def _arun(
self,
query: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Use the tool asynchronously."""
return await self.wrapper.arun(query, **self.kwargs)
[docs]class SearxSearchResults(BaseTool):
"""Tool that queries a Searx instance and gets back json."""
name: str = "searx_search_results"
description: str = (
"A meta search engine."
"Useful for when you need to answer questions about current events."
"Input should be a search query. Output is a JSON array of the query results"
)
wrapper: SearxSearchWrapper
num_results: int = 4
kwargs: dict = Field(default_factory=dict)
args_schema: Type[BaseModel] = SearxSearchQueryInput
class Config:
extra = "allow"
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the tool."""
return str(self.wrapper.results(query, self.num_results, **self.kwargs))
async def _arun(
self,
query: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Use the tool asynchronously."""
return (
await self.wrapper.aresults(query, self.num_results, **self.kwargs)
).__str__()