mirror of
https://github.com/hwchase17/langchain
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a79345f199
#16396 Fixed 1. golden_query 2. google_lens 3. memorize 4. merriam_webster 5. open_weather_map 6. pub_med 7. stack_exchange 8. generate_image 9. wikipedia
78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
"""Tool for the SearxNG 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.pydantic_v1 import Extra, Field
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from langchain_core.tools import BaseTool
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from langchain_community.utilities.searx_search import SearxSearchWrapper
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class SearxSearchRun(BaseTool):
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"""Tool that queries a Searx instance."""
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name: str = "searx_search"
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description: str = (
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"A meta search engine."
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"Useful for 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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wrapper: SearxSearchWrapper
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kwargs: dict = Field(default_factory=dict)
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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.wrapper.run(query, **self.kwargs)
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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.wrapper.arun(query, **self.kwargs)
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class SearxSearchResults(BaseTool):
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"""Tool that queries a Searx instance and gets back json."""
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name: str = "searx_search_results"
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description: str = (
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"A meta search engine."
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"Useful for when you need to answer questions about current events."
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"Input should be a search query. Output is a JSON array of the query results"
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)
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wrapper: SearxSearchWrapper
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num_results: int = 4
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kwargs: dict = Field(default_factory=dict)
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class Config:
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"""Pydantic config."""
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extra = Extra.allow
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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.wrapper.results(query, self.num_results, **self.kwargs))
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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 (
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await self.wrapper.aresults(query, self.num_results, **self.kwargs)
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).__str__()
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