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65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
"""Test tool utils."""
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from typing import Any, Type
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from unittest.mock import MagicMock
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import pytest
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from langchain.agents.agent import Agent
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from langchain.agents.chat.base import ChatAgent
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from langchain.agents.conversational.base import ConversationalAgent
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from langchain.agents.conversational_chat.base import ConversationalChatAgent
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from langchain.agents.mrkl.base import ZeroShotAgent
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from langchain.agents.react.base import ReActDocstoreAgent, ReActTextWorldAgent
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from langchain.agents.self_ask_with_search.base import SelfAskWithSearchAgent
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from langchain.agents.tools import Tool, tool
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@pytest.mark.parametrize(
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"agent_cls",
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[
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ZeroShotAgent,
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ChatAgent,
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ConversationalChatAgent,
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ConversationalAgent,
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ReActDocstoreAgent,
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ReActTextWorldAgent,
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SelfAskWithSearchAgent,
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],
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)
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def test_single_input_agent_raises_error_on_structured_tool(
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agent_cls: Type[Agent],
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) -> None:
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"""Test that older agents raise errors on older tools."""
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@tool
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def the_tool(foo: str, bar: str) -> str:
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"""Return the concat of foo and bar."""
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return foo + bar
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with pytest.raises(
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ValueError,
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match=f"{agent_cls.__name__} does not support" # type: ignore
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f" multi-input tool {the_tool.name}.",
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):
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agent_cls.from_llm_and_tools(MagicMock(), [the_tool]) # type: ignore
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def test_tool_no_args_specified_assumes_str() -> None:
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"""Older tools could assume *args and **kwargs were passed in."""
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def ambiguous_function(*args: Any, **kwargs: Any) -> str:
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"""An ambiguously defined function."""
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return args[0]
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some_tool = Tool(
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name="chain_run",
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description="Run the chain",
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func=ambiguous_function,
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)
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expected_args = {"tool_input": {"type": "string"}}
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assert some_tool.args == expected_args
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assert some_tool.run("foobar") == "foobar"
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assert some_tool.run({"tool_input": "foobar"}) == "foobar"
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with pytest.raises(ValueError, match="Too many arguments to single-input tool"):
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some_tool.run({"tool_input": "foobar", "other_input": "bar"})
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