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