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from langchain_community.tools.arxiv.tool import ArxivQueryRun
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"""Arxiv API toolkit."""
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"""Tool for the Arxiv Search API."""
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__all__ = ["ArxivQueryRun"]
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"""Tool for the Arxiv API."""
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from typing import Optional, Type
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.tools import BaseTool
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from pydantic import BaseModel, Field
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from langchain_community.utilities.arxiv import ArxivAPIWrapper
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class ArxivInput(BaseModel):
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"""Input for the Arxiv tool."""
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query: str = Field(description="search query to look up")
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class ArxivQueryRun(BaseTool):
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"""Tool that searches the Arxiv API."""
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name: str = "arxiv"
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description: str = (
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"A wrapper around Arxiv.org "
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"Useful for when you need to answer questions about Physics, Mathematics, "
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"Computer Science, Quantitative Biology, Quantitative Finance, Statistics, "
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"Electrical Engineering, and Economics "
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"from scientific articles on arxiv.org. "
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"Input should be a search query."
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)
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api_wrapper: ArxivAPIWrapper = Field(default_factory=ArxivAPIWrapper) # type: ignore[arg-type]
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args_schema: Type[BaseModel] = ArxivInput
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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 Arxiv tool."""
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return self.api_wrapper.run(query)
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