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Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
from typing import List, Optional, Type
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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.documents import Document
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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.you import YouSearchAPIWrapper
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class YouInput(BaseModel):
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"""Input schema for the you.com tool."""
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query: str = Field(description="should be a search query")
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class YouSearchTool(BaseTool): # type: ignore[override, override]
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"""Tool that searches the you.com API."""
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name: str = "you_search"
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description: str = (
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"The YOU APIs make LLMs and search experiences more factual and"
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"up to date with realtime web data."
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)
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args_schema: Type[BaseModel] = YouInput
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api_wrapper: YouSearchAPIWrapper = Field(default_factory=YouSearchAPIWrapper)
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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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) -> List[Document]:
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"""Use the you.com tool."""
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return 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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) -> List[Document]:
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"""Use the you.com tool asynchronously."""
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return await self.api_wrapper.results_async(query)
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