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* fix(thinking): add deepseek-v4 to thinking model patterns deepseek-v4-flash emits reasoning_content via the API but was not recognized in _THINKING_MODEL_PATTERNS (only deepseek-r1 and deepseek-reasoner were listed). Add the deepseek-v4 prefix so the model is recognized as thinking-capable. The between-round _thinkOpen leakage was separately fixed by PR #5931 (perf(chat): batch live thinking rendering). Related: #3998, #5931 * test(thinking): cover DeepSeek v4 detection --------- Co-authored-by: Alexandre Teixeira <alexandremagteixeira@gmail.com> Co-authored-by: Alexandre Teixeira <111787685+alteixeira20@users.noreply.github.com>
27 lines
656 B
Python
27 lines
656 B
Python
"""Regression coverage for structured-thinking model detection."""
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import os
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os.environ.setdefault("DATABASE_URL", "sqlite:///:memory:")
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import pytest
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from src.llm_core import _supports_thinking
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@pytest.mark.parametrize(
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"model",
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[
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"deepseek-v4",
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"deepseek-v4-flash",
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"DeepSeek-V4-Flash",
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"deepseek/deepseek-v4-flash",
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],
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)
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def test_deepseek_v4_models_support_thinking(model):
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assert _supports_thinking(model) is True
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@pytest.mark.parametrize("model", ["deepseek-v3", "deepseek-chat"])
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def test_other_deepseek_models_are_not_promoted_to_thinking(model):
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assert _supports_thinking(model) is False
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