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from langchain_community.tools.arxiv.tool import ArxivQueryRun
"""Arxiv API toolkit."""
"""Tool for the Arxiv Search API."""
__all__ = ["ArxivQueryRun"]

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"""Tool for the Arxiv API."""
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import BaseModel, Field
from langchain_community.utilities.arxiv import ArxivAPIWrapper
class ArxivInput(BaseModel):
"""Input for the Arxiv tool."""
query: str = Field(description="search query to look up")
class ArxivQueryRun(BaseTool):
"""Tool that searches the Arxiv API."""
name: str = "arxiv"
description: str = (
"A wrapper around Arxiv.org "
"Useful for when you need to answer questions about Physics, Mathematics, "
"Computer Science, Quantitative Biology, Quantitative Finance, Statistics, "
"Electrical Engineering, and Economics "
"from scientific articles on arxiv.org. "
"Input should be a search query."
)
api_wrapper: ArxivAPIWrapper = Field(default_factory=ArxivAPIWrapper) # type: ignore[arg-type]
args_schema: Type[BaseModel] = ArxivInput
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the Arxiv tool."""
return self.api_wrapper.run(query)