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35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""Token-parameter selection for provider setup (REAL src.llm_core).
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Split from `test_provider_classification.py` to keep the token-param quirk
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separate from provider identification and error formatting.
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* `_uses_max_completion_tokens` — the gpt-5 / o-series quirk that the probe
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and chat payload builders branch on.
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conftest.py stubs the heavy deps (sqlalchemy, src.database), so importing the
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real module is side-effect free.
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"""
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import pytest
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from src.llm_core import _uses_max_completion_tokens
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# ── _uses_max_completion_tokens ──
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# gpt-5 / o-series need `max_completion_tokens`; everything else `max_tokens`.
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class TestUsesMaxCompletionTokens:
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@pytest.mark.parametrize("model", [
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"gpt-5", "gpt-5.2", "gpt-5-mini", "o1", "o1-preview", "o3", "o3-mini",
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"o4-mini", "gpt-4.5", "gpt-4.5-preview", "openrouter/openai/o3",
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])
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def test_requires_max_completion_tokens(self, model):
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assert _uses_max_completion_tokens(model) is True
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@pytest.mark.parametrize("model", [
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# gpt-4o must NOT be confused with the o-series ("o4"/"o1" tokens).
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"gpt-4o", "gpt-4o-mini", "gpt-4.1", "claude-opus-4", "llama-3.3-70b",
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"deepseek-chat", "", None,
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])
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def test_uses_plain_max_tokens(self, model):
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assert _uses_max_completion_tokens(model) is False
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