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600b7bdd61
Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
"""Tool for the Golden API."""
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from typing import Optional
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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 langchain_community.utilities.golden_query import GoldenQueryAPIWrapper
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class GoldenQueryRun(BaseTool): # type: ignore[override]
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"""Tool that adds the capability to query using the Golden API and get back JSON."""
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name: str = "golden_query"
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description: str = (
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"A wrapper around Golden Query API."
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" Useful for getting entities that match"
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" a natural language query from Golden's Knowledge Base."
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"\nExample queries:"
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"\n- companies in nanotech"
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"\n- list of cloud providers starting in 2019"
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"\nInput should be the natural language query."
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"\nOutput is a paginated list of results or an error object"
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" in JSON format."
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)
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api_wrapper: GoldenQueryAPIWrapper
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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 Golden tool."""
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return self.api_wrapper.run(query)
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