agentic-kvc/third_party/vllm/tests/reasoning/test_olmo3_reasoning_parser.py

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project

import pytest
from transformers import AutoTokenizer

from tests.reasoning.utils import run_reasoning_extraction
from vllm.reasoning import ReasoningParser, ReasoningParserManager

parser_name = "olmo3"
START_REASONING = "<think>"
END_REASONING = "</think>"

NO_REASONING = {
    "output": f"{START_REASONING}{END_REASONING}No thoughts, head empty!",
    "reasoning": None,
    "content": "No thoughts, head empty!",
}

NO_REASONING_WITH_NEWLINE = {
    "output": f"{START_REASONING}\n{END_REASONING}\n\nNo thoughts, head empty!",
    "reasoning": "\n",
    "content": "\n\nNo thoughts, head empty!",
}

SIMPLE_REASONING = {
    "output": f"{START_REASONING}This is a reasoning section{END_REASONING}This is the rest",  # noqa: E501
    "reasoning": "This is a reasoning section",
    "content": "This is the rest",
}

SIMPLE_REASONING_WITH_NEWLINE = {
    "output": f"{START_REASONING} Look!\n\nI'm thinking...{END_REASONING}\nThis is the rest",  # noqa: E501
    "reasoning": " Look!\n\nI'm thinking...",
    "content": "\nThis is the rest",
}

SIMPLE_REASONING_WITH_MULTIPLE_NEWLINES = {
    "output": f"{START_REASONING}\nLook!\nI'm thinking...\n\n{END_REASONING}\n\n\nThis is the rest",  # noqa: E501
    "reasoning": "\nLook!\nI'm thinking...\n\n",
    "content": "\n\n\nThis is the rest",
}

NO_REASONING_ONLY_END_THINK = {
    "output": f"{END_REASONING}\n\nNo thoughts, head empty!",
    "reasoning": None,
    "content": "\n\nNo thoughts, head empty!",
}

REASONING_ONLY_END_THINK = {
    "output": f"The user is asking me not to think.{END_REASONING}No thoughts!",
    "reasoning": "The user is asking me not to think.",
    "content": "No thoughts!",
}

TEST_CASES = [
    pytest.param(
        False,  # not streaming
        NO_REASONING,
        id="no_reasoning",
    ),
    pytest.param(
        False,  # not streaming
        NO_REASONING_WITH_NEWLINE,
        id="no_reasoning_with_newline",
    ),
    pytest.param(
        False,  # not streaming
        SIMPLE_REASONING,
        id="simple_reasoning",
    ),
    pytest.param(
        False,  # not streaming
        SIMPLE_REASONING_WITH_NEWLINE,
        id="simple_reasoning_with_newline",
    ),
    pytest.param(
        True,  # enable streaming
        SIMPLE_REASONING_WITH_MULTIPLE_NEWLINES,
        id="simple_reasoning_with_multiple_newlines",
    ),
    pytest.param(
        False,  # not streaming
        NO_REASONING_ONLY_END_THINK,
        id="no_reasoning_only_end_think",
    ),
    pytest.param(
        False,  # not streaming
        REASONING_ONLY_END_THINK,
        id="yes_reasoning_only_end_think",
    ),
    pytest.param(
        True,  # enable streaming
        NO_REASONING,
        id="no_reasoning_streaming",
    ),
    pytest.param(
        True,  # enable streaming
        NO_REASONING_WITH_NEWLINE,
        id="no_reasoning_with_newline_streaming",
    ),
    pytest.param(
        True,  # enable streaming
        SIMPLE_REASONING,
        id="simple_reasoning_streaming",
    ),
    pytest.param(
        True,  # enable streaming
        SIMPLE_REASONING_WITH_NEWLINE,
        id="simple_reasoning_with_newline_streaming",
    ),
    pytest.param(
        True,  # enable streaming
        SIMPLE_REASONING_WITH_MULTIPLE_NEWLINES,
        id="simple_reasoning_with_multiple_newlines_streaming",
    ),
    pytest.param(
        True,  # enable streaming
        NO_REASONING_ONLY_END_THINK,
        id="no_reasoning_only_end_think_streaming",
    ),
    pytest.param(
        True,  # enable streaming
        REASONING_ONLY_END_THINK,
        id="yes_reasoning_only_end_think_streaming",
    ),
]

# Global tokenizer initialization to avoid repeated loading
tokenizer = AutoTokenizer.from_pretrained("allenai/dolma2-tokenizer")


@pytest.mark.parametrize("streaming, param_dict", TEST_CASES)
def test_reasoning(
    streaming: bool,
    param_dict: dict[str, str],
):
    output = tokenizer.tokenize(param_dict["output"])

    # decode everything to tokens
    model_output: list[str] = [
        tokenizer.convert_tokens_to_string([token]) for token in output
    ]
    parser_cls = ReasoningParserManager.get_reasoning_parser(parser_name)
    parser: ReasoningParser = parser_cls(tokenizer)

    reasoning, content = run_reasoning_extraction(
        reasoning_parser=parser, model_output=model_output, streaming=streaming
    )

    assert reasoning == param_dict["reasoning"]
    assert content == param_dict["content"]