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212 lines
7.9 KiB
Python
212 lines
7.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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# ruff: noqa: E501
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import json
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import pytest
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from vllm.entrypoints.openai.protocol import FunctionCall, ToolCall
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from vllm.entrypoints.openai.tool_parsers import KimiK2ToolParser
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from vllm.transformers_utils.tokenizer import get_tokenizer
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pytestmark = pytest.mark.cpu_test
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# Use a common model that is likely to be available
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MODEL = "moonshotai/Kimi-K2-Instruct"
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@pytest.fixture(scope="module")
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def kimi_k2_tokenizer():
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return get_tokenizer(tokenizer_name=MODEL, trust_remote_code=True)
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@pytest.fixture
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def kimi_k2_tool_parser(kimi_k2_tokenizer):
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return KimiK2ToolParser(kimi_k2_tokenizer)
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def assert_tool_calls(
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actual_tool_calls: list[ToolCall], expected_tool_calls: list[ToolCall]
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):
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assert len(actual_tool_calls) == len(expected_tool_calls)
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for actual_tool_call, expected_tool_call in zip(
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actual_tool_calls, expected_tool_calls
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):
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assert actual_tool_call.type == "function"
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assert actual_tool_call.function == expected_tool_call.function
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# assert tool call id format
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assert actual_tool_call.id.startswith("functions.")
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assert actual_tool_call.id.split(":")[-1].isdigit()
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assert (
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actual_tool_call.id.split(".")[1].split(":")[0]
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== expected_tool_call.function.name
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)
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def test_extract_tool_calls_no_tools(kimi_k2_tool_parser):
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model_output = "This is a test"
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extracted_tool_calls = kimi_k2_tool_parser.extract_tool_calls(
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model_output, request=None
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) # type: ignore[arg-type]
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assert not extracted_tool_calls.tools_called
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assert extracted_tool_calls.tool_calls == []
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assert extracted_tool_calls.content == model_output
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@pytest.mark.parametrize(
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ids=[
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"tool_call_with_content_before",
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"multi_tool_call_with_content_before",
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],
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argnames=["model_output", "expected_tool_calls", "expected_content"],
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argvalues=[
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(
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"""I'll help you check the weather. <|tool_calls_section_begin|> <|tool_call_begin|>
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functions.get_weather:0 <|tool_call_argument_begin|> {"city": "Beijing"} <|tool_call_end|> <|tool_calls_section_end|>""",
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[
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ToolCall(
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id="functions.get_weather:0",
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function=FunctionCall(
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name="get_weather",
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arguments=json.dumps(
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{
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"city": "Beijing",
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},
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),
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),
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type="function",
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)
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],
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"I'll help you check the weather. ",
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),
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(
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"""I'll help you check the weather. <|tool_calls_section_begin|> <|tool_call_begin|>
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functions.get_weather:0 <|tool_call_argument_begin|> {"city": "Beijing"} <|tool_call_end|> <|tool_call_begin|>
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functions.get_weather:1 <|tool_call_argument_begin|> {"city": "Shanghai"} <|tool_call_end|> <|tool_calls_section_end|>""",
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[
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ToolCall(
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id="functions.get_weather:0",
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function=FunctionCall(
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name="get_weather",
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arguments=json.dumps(
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{
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"city": "Beijing",
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},
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),
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),
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type="function",
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),
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ToolCall(
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id="functions.get_weather:1",
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function=FunctionCall(
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name="get_weather",
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arguments=json.dumps(
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{
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"city": "Shanghai",
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},
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),
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),
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type="function",
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),
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],
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"I'll help you check the weather. ",
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),
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],
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)
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def test_extract_tool_calls(
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kimi_k2_tool_parser, model_output, expected_tool_calls, expected_content
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):
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extracted_tool_calls = kimi_k2_tool_parser.extract_tool_calls(
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model_output, request=None
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) # type: ignore[arg-type]
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assert extracted_tool_calls.tools_called
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assert_tool_calls(extracted_tool_calls.tool_calls, expected_tool_calls)
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assert extracted_tool_calls.content == expected_content
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def test_extract_tool_calls_invalid_json(kimi_k2_tool_parser):
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"""we'll return every funcall result"""
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model_output = """I'll help you check the weather. <|tool_calls_section_begin|> <|tool_call_begin|>
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functions.invalid_get_weather:0 <|tool_call_argument_begin|> {"city": "Beijing" <|tool_call_end|> <|tool_call_begin|>
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functions.valid_get_weather:1 <|tool_call_argument_begin|> {"city": "Shanghai"} <|tool_call_end|> <|tool_calls_section_end|>"""
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extracted_tool_calls = kimi_k2_tool_parser.extract_tool_calls(
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model_output, request=None
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) # type: ignore[arg-type]
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assert extracted_tool_calls.tools_called
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# Should extract only the valid JSON tool calls
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assert len(extracted_tool_calls.tool_calls) == 2
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assert extracted_tool_calls.tool_calls[0].function.name == "invalid_get_weather"
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assert extracted_tool_calls.tool_calls[1].function.name == "valid_get_weather"
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def test_extract_tool_calls_invalid_funcall(kimi_k2_tool_parser):
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"""we'll return every funcall result"""
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model_output = """I'll help you check the weather. <|tool_calls_section_begin|> <|tool_call_begin|>
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functions.invalid_get_weather.0 <|tool_call_argument_begin|> {"city": "Beijing"} <|tool_call_end|> <|tool_call_begin|>
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functions.valid_get_weather:1 <|tool_call_argument_begin|> {"city": "Shanghai"} <|tool_call_end|> <|tool_calls_section_end|>"""
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extracted_tool_calls = kimi_k2_tool_parser.extract_tool_calls(
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model_output, request=None
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) # type: ignore[arg-type]
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assert extracted_tool_calls.tools_called
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# Should extract only the valid JSON tool calls
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assert len(extracted_tool_calls.tool_calls) == 1
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assert extracted_tool_calls.tool_calls[0].function.name == "valid_get_weather"
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def test_streaming_basic_functionality(kimi_k2_tool_parser):
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"""Test basic streaming functionality."""
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# Reset streaming state
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kimi_k2_tool_parser.current_tool_name_sent = False
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kimi_k2_tool_parser.prev_tool_call_arr = []
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kimi_k2_tool_parser.current_tool_id = -1
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kimi_k2_tool_parser.streamed_args_for_tool = []
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# Test with a simple tool call
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current_text = """ check the weather. <|tool_calls_section_begin|> <|tool_call_begin|>
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functions.get_weather:0 <|tool_call_argument_begin|> {"city": "Beijing"} <|tool_call_end|> <|tool_calls_section_end|>"""
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# First call should handle the initial setup
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result = kimi_k2_tool_parser.extract_tool_calls_streaming(
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previous_text="I'll help you",
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current_text=current_text,
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delta_text="<|tool_calls_section_end|>",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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request=None,
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)
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# The result might be None or contain tool call information
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# This depends on the internal state management
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if result is not None and hasattr(result, "tool_calls") and result.tool_calls:
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assert len(result.tool_calls) >= 0
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def test_streaming_no_tool_calls(kimi_k2_tool_parser):
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"""Test streaming when there are no tool calls."""
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current_text = "This is just regular text without any tool calls."
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result = kimi_k2_tool_parser.extract_tool_calls_streaming(
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previous_text="This is just regular text",
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current_text=current_text,
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delta_text=" without any tool calls.",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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request=None,
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)
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# Should return the delta text as content
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assert result is not None
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assert hasattr(result, "content")
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assert result.content == " without any tool calls."
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