initial commit

venv/Lib/site-packages/langchain_community/tools/semanticscholar/__init__.py

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+from langchain_community.tools.semanticscholar.tool import SemanticScholarQueryRun
+
+"""Semantic Scholar API toolkit."""
+"""Tool for the Semantic Scholar Search API."""
+
+__all__ = ["SemanticScholarQueryRun"]

venv/Lib/site-packages/langchain_community/tools/semanticscholar/tool.py

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+"""Tool for the SemanticScholar 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.semanticscholar import SemanticScholarAPIWrapper
+
+
+class SemantscholarInput(BaseModel):
+    """Input for the SemanticScholar tool."""
+
+    query: str = Field(description="search query to look up")
+
+
+class SemanticScholarQueryRun(BaseTool):
+    """Tool that searches the semanticscholar API."""
+
+    name: str = "semanticscholar"
+    description: str = (
+        "A wrapper around semantischolar.org "
+        "Useful for when you need to answer to questions"
+        "from research papers."
+        "Input should be a search query."
+    )
+    api_wrapper: SemanticScholarAPIWrapper = Field(
+        default_factory=SemanticScholarAPIWrapper  # type: ignore[arg-type]
+    )
+    args_schema: Type[BaseModel] = SemantscholarInput
+
+    def _run(
+        self,
+        query: str,
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Use the Semantic Scholar tool."""
+        return self.api_wrapper.run(query)