test_deepseekv31_tool_parser.py

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

import pytest

from vllm.entrypoints.openai.tool_parsers.deepseekv31_tool_parser import (
    DeepSeekV31ToolParser,
)
from vllm.transformers_utils.tokenizer import get_tokenizer

MODEL = "deepseek-ai/DeepSeek-V3.1"


@pytest.fixture(scope="module")
def deepseekv31_tokenizer():
    return get_tokenizer(tokenizer_name=MODEL)


@pytest.fixture
def parser(deepseekv31_tokenizer):
    return DeepSeekV31ToolParser(deepseekv31_tokenizer)


def test_extract_tool_calls_with_tool(parser):
    model_output = (
        "normal text"
        + "<｜tool▁calls▁begin｜>"
        + '<｜tool▁call▁begin｜>foo<｜tool▁sep｜>{"x":1}<｜tool▁call▁end｜>'
        + "<｜tool▁calls▁end｜>"
    )
    result = parser.extract_tool_calls(model_output, None)
    assert result.tools_called
    assert len(result.tool_calls) == 1
    assert result.tool_calls[0].function.name == "foo"
    assert result.tool_calls[0].function.arguments == '{"x":1}'
    assert result.content == "normal text"


def test_extract_tool_calls_with_multiple_tools(parser):
    model_output = (
        "some prefix text"
        + "<｜tool▁calls▁begin｜>"
        + '<｜tool▁call▁begin｜>foo<｜tool▁sep｜>{"x":1}<｜tool▁call▁end｜>'
        + '<｜tool▁call▁begin｜>bar<｜tool▁sep｜>{"y":2}<｜tool▁call▁end｜>'
        + "<｜tool▁calls▁end｜>"
        + " some suffix text"
    )

    result = parser.extract_tool_calls(model_output, None)

    assert result.tools_called
    assert len(result.tool_calls) == 2

    assert result.tool_calls[0].function.name == "foo"
    assert result.tool_calls[0].function.arguments == '{"x":1}'

    assert result.tool_calls[1].function.name == "bar"
    assert result.tool_calls[1].function.arguments == '{"y":2}'

    # prefix is content
    assert result.content == "some prefix text"