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Main's rewritten test_tui_npm_install.py tests call _make_tui_argv expecting the Ink/npm flow unconditionally; with the dual-engine dispatch merged in, _resolve_tui_engine() auto-selects opentui whenever ui-opentui/dist is built in the repo, routing the call away from the path under test (first subprocess became 'node --version' instead of 'npm run build'). Pin the engine to ink via an autouse fixture, mirroring the existing pinning precedent in test_tui_resume_flow.py.
137 lines
5.5 KiB
Python
137 lines
5.5 KiB
Python
"""Targeted tests for ``utils.model_forces_max_completion_tokens``.
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This helper decides whether a given model name requires the newer
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``max_completion_tokens`` kwarg (rather than the legacy ``max_tokens``) on
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``/v1/chat/completions``. It protects against the 400 ``unsupported_parameter``
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error seen when third-party OpenAI-compatible endpoints serve gpt-4o / 4.1 /
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5.x / o-series models by name and the caller only checks the URL host.
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"""
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from __future__ import annotations
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from utils import model_forces_max_completion_tokens
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# ─── Positive cases: families that require max_completion_tokens ────────────
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class TestPositiveCases:
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def test_gpt_5_bare(self):
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assert model_forces_max_completion_tokens("gpt-5") is True
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def test_gpt_5_point_release(self):
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# The case the user actually hit — gpt-5.4 on a custom OpenAI-compatible
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# endpoint was being sent max_tokens and getting 400 back.
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assert model_forces_max_completion_tokens("gpt-5.4") is True
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def test_gpt_5_mini(self):
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assert model_forces_max_completion_tokens("gpt-5-mini") is True
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def test_gpt_5_nano(self):
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assert model_forces_max_completion_tokens("gpt-5-nano") is True
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def test_gpt_4o(self):
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assert model_forces_max_completion_tokens("gpt-4o") is True
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def test_gpt_4o_mini(self):
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assert model_forces_max_completion_tokens("gpt-4o-mini") is True
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def test_gpt_4_1(self):
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assert model_forces_max_completion_tokens("gpt-4.1") is True
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def test_gpt_4_1_mini(self):
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assert model_forces_max_completion_tokens("gpt-4.1-mini") is True
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def test_o1(self):
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assert model_forces_max_completion_tokens("o1") is True
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def test_o1_preview(self):
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assert model_forces_max_completion_tokens("o1-preview") is True
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def test_o1_mini(self):
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assert model_forces_max_completion_tokens("o1-mini") is True
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def test_o3(self):
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assert model_forces_max_completion_tokens("o3") is True
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def test_o3_mini(self):
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assert model_forces_max_completion_tokens("o3-mini") is True
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def test_o4_mini(self):
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# Future-proofing — o4 is already listed publicly.
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assert model_forces_max_completion_tokens("o4-mini") is True
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# ─── Negative cases: older or non-OpenAI families still use max_tokens ──────
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class TestNegativeCases:
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def test_gpt_3_5_turbo(self):
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assert model_forces_max_completion_tokens("gpt-3.5-turbo") is False
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def test_gpt_4(self):
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# Classic gpt-4 (non-omni) still uses max_tokens on chat completions.
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assert model_forces_max_completion_tokens("gpt-4") is False
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def test_gpt_4_turbo(self):
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assert model_forces_max_completion_tokens("gpt-4-turbo") is False
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def test_claude_family(self):
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assert model_forces_max_completion_tokens("claude-3-opus") is False
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assert model_forces_max_completion_tokens("claude-sonnet-4-6") is False
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def test_llama_family(self):
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assert model_forces_max_completion_tokens("llama3") is False
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assert model_forces_max_completion_tokens("llama-3-70b-instruct") is False
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def test_mistral_family(self):
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assert model_forces_max_completion_tokens("mistral-7b-instruct") is False
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def test_qwen_family(self):
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assert model_forces_max_completion_tokens("qwen2.5-72b") is False
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def test_deepseek_family(self):
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assert model_forces_max_completion_tokens("deepseek-chat") is False
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# ─── Edge cases ─────────────────────────────────────────────────────────────
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class TestEdgeCases:
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def test_empty_string(self):
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assert model_forces_max_completion_tokens("") is False
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def test_none(self):
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assert model_forces_max_completion_tokens(None) is False # type: ignore[arg-type]
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def test_whitespace_only(self):
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assert model_forces_max_completion_tokens(" ") is False
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def test_case_insensitive(self):
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assert model_forces_max_completion_tokens("GPT-5.4") is True
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assert model_forces_max_completion_tokens("Gpt-4o-Mini") is True
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assert model_forces_max_completion_tokens("O3-MINI") is True
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def test_leading_trailing_whitespace(self):
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assert model_forces_max_completion_tokens(" gpt-5 ") is True
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def test_vendor_prefix_stripped(self):
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# OpenRouter-style "vendor/model" names should match the tail.
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assert model_forces_max_completion_tokens("openai/gpt-5.4") is True
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assert model_forces_max_completion_tokens("openai/gpt-4o-mini") is True
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assert model_forces_max_completion_tokens("openai/o3-mini") is True
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def test_vendor_prefix_with_non_matching_tail(self):
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assert model_forces_max_completion_tokens("openai/gpt-3.5-turbo") is False
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assert model_forces_max_completion_tokens("anthropic/claude-3-opus") is False
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def test_fake_prefix_not_matched(self):
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# "o-series-but-not-really" doesn't start with o1/o3/o4.
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assert model_forces_max_completion_tokens("omni-chat") is False
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# "ox" isn't an o-series model, and "olive" / "opus" shouldn't collide.
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assert model_forces_max_completion_tokens("ox-large") is False
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assert model_forces_max_completion_tokens("opus-3") is False
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def test_gpt_5_substring_in_middle_not_matched(self):
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# Only a prefix should match — "local-gpt-5-clone" is a different model.
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assert model_forces_max_completion_tokens("local-gpt-5-clone") is False
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