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odysseus/tests/test_provider_classification_token_params.py
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2026-06-16 09:54:07 +00:00

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Python

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