vllm-project--vllm
wehub-resource-sync
62 行
1.9 KiB
Python
62 行
1.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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from vllm.tokenizers import get_tokenizer
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from vllm.tool_parsers.deepseekv31_tool_parser import (
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DeepSeekV31ToolParser,
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)
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MODEL = "deepseek-ai/DeepSeek-V3.1"
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@pytest.fixture(scope="module")
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def deepseekv31_tokenizer():
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return get_tokenizer(tokenizer_name=MODEL)
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@pytest.fixture
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def parser(deepseekv31_tokenizer):
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return DeepSeekV31ToolParser(deepseekv31_tokenizer)
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def test_extract_tool_calls_with_tool(parser):
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model_output = (
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"normal text"
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"<｜tool▁calls▁begin｜>"
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'<｜tool▁call▁begin｜>foo<｜tool▁sep｜>{"x":1}<｜tool▁call▁end｜>'
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"<｜tool▁calls▁end｜>"
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)
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result = parser.extract_tool_calls(model_output, None)
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assert result.tools_called
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assert len(result.tool_calls) == 1
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assert result.tool_calls[0].function.name == "foo"
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assert result.tool_calls[0].function.arguments == '{"x":1}'
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assert result.content == "normal text"
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def test_extract_tool_calls_with_multiple_tools(parser):
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model_output = (
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"some prefix text"
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"<｜tool▁calls▁begin｜>"
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'<｜tool▁call▁begin｜>foo<｜tool▁sep｜>{"x":1}<｜tool▁call▁end｜>'
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'<｜tool▁call▁begin｜>bar<｜tool▁sep｜>{"y":2}<｜tool▁call▁end｜>'
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"<｜tool▁calls▁end｜>"
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" some suffix text"
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)
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result = parser.extract_tool_calls(model_output, None)
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assert result.tools_called
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assert len(result.tool_calls) == 2
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assert result.tool_calls[0].function.name == "foo"
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assert result.tool_calls[0].function.arguments == '{"x":1}'
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assert result.tool_calls[1].function.name == "bar"
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assert result.tool_calls[1].function.arguments == '{"y":2}'
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# prefix is content
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assert result.content == "some prefix text"
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