from typing import Any, List, Literal from langchain_core.messages import AIMessage from langchain_core.outputs import ChatGeneration from langchain_core.pydantic_v1 import BaseModel from langchain_anthropic.output_parsers import ToolsOutputParser _CONTENT: List = [ { "type": "text", "text": "thought", }, {"type": "tool_use", "input": {"bar": 0}, "id": "1", "name": "_Foo1"}, { "type": "text", "text": "thought", }, {"type": "tool_use", "input": {"baz": "a"}, "id": "2", "name": "_Foo2"}, ] _RESULT: List = [ChatGeneration(message=AIMessage(_CONTENT))] class _Foo1(BaseModel): bar: int class _Foo2(BaseModel): baz: Literal["a", "b"] def test_tools_output_parser() -> None: output_parser = ToolsOutputParser() expected = [ {"name": "_Foo1", "args": {"bar": 0}, "id": "1", "index": 1}, {"name": "_Foo2", "args": {"baz": "a"}, "id": "2", "index": 3}, ] actual = output_parser.parse_result(_RESULT) assert expected == actual def test_tools_output_parser_args_only() -> None: output_parser = ToolsOutputParser(args_only=True) expected = [ {"bar": 0}, {"baz": "a"}, ] actual = output_parser.parse_result(_RESULT) assert expected == actual expected = [] actual = output_parser.parse_result([ChatGeneration(message=AIMessage(""))]) assert expected == actual def test_tools_output_parser_first_tool_only() -> None: output_parser = ToolsOutputParser(first_tool_only=True) expected: Any = {"name": "_Foo1", "args": {"bar": 0}, "id": "1", "index": 1} actual = output_parser.parse_result(_RESULT) assert expected == actual expected = None actual = output_parser.parse_result([ChatGeneration(message=AIMessage(""))]) assert expected == actual def test_tools_output_parser_pydantic() -> None: output_parser = ToolsOutputParser(pydantic_schemas=[_Foo1, _Foo2]) expected = [_Foo1(bar=0), _Foo2(baz="a")] actual = output_parser.parse_result(_RESULT) assert expected == actual