mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
75ba22793f
Description: Adding Summarization to Vectara, to reflect it provides not only vector-store type functionality but also can return a summary. Also added: MMR capability (in the Vectara platform side) Updated templates Updated documentation and IPYNB examples Tag maintainer: @baskaryan Twitter handle: @ofermend --------- Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com>
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
from typing import List, Type
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from langchain_core.tools import BaseTool, StructuredTool
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import langchain_community.tools
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from langchain_community.tools import _DEPRECATED_TOOLS
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from langchain_community.tools import __all__ as tools_all
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_EXCLUDE = {
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BaseTool,
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StructuredTool,
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}
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def _get_tool_classes(skip_tools_without_default_names: bool) -> List[Type[BaseTool]]:
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results = []
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for tool_class_name in tools_all:
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if tool_class_name in _DEPRECATED_TOOLS:
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continue
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# Resolve the str to the class
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tool_class = getattr(langchain_community.tools, tool_class_name)
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if isinstance(tool_class, type) and issubclass(tool_class, BaseTool):
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if tool_class in _EXCLUDE:
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continue
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if skip_tools_without_default_names and tool_class.__fields__[
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"name"
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].default in [ # type: ignore
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None,
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"",
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]:
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continue
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results.append(tool_class)
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return results
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def test_tool_names_unique() -> None:
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"""Test that the default names for our core tools are unique."""
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tool_classes = _get_tool_classes(skip_tools_without_default_names=True)
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names = sorted([tool_cls.__fields__["name"].default for tool_cls in tool_classes])
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duplicated_names = [name for name in names if names.count(name) > 1]
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assert not duplicated_names
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