"""Targeted tests for ``utils.model_forces_max_completion_tokens``. This helper decides whether a given model name requires the newer ``max_completion_tokens`` kwarg (rather than the legacy ``max_tokens``) on ``/v1/chat/completions``. It protects against the 400 ``unsupported_parameter`` error seen when third-party OpenAI-compatible endpoints serve gpt-4o / 4.1 / 5.x / o-series models by name and the caller only checks the URL host. """ from __future__ import annotations from utils import model_forces_max_completion_tokens # ─── Positive cases: families that require max_completion_tokens ──────────── class TestPositiveCases: def test_gpt_5_bare(self): assert model_forces_max_completion_tokens("gpt-5") is True def test_gpt_4o(self): assert model_forces_max_completion_tokens("gpt-4o") is True def test_o1(self): assert model_forces_max_completion_tokens("o1") is True def test_o3(self): assert model_forces_max_completion_tokens("o3") is True # ─── Negative cases: older or non-OpenAI families still use max_tokens ────── class TestNegativeCases: def test_gpt_3_5_turbo(self): assert model_forces_max_completion_tokens("gpt-3.5-turbo") is False def test_gpt_4(self): # Classic gpt-4 (non-omni) still uses max_tokens on chat completions. assert model_forces_max_completion_tokens("gpt-4") is False def test_claude_family(self): assert model_forces_max_completion_tokens("claude-3-opus") is False assert model_forces_max_completion_tokens("claude-sonnet-4-6") is False # ─── Edge cases ───────────────────────────────────────────────────────────── class TestEdgeCases: def test_empty_string(self): assert model_forces_max_completion_tokens("") is False def test_none(self): assert model_forces_max_completion_tokens(None) is False # type: ignore[arg-type] def test_vendor_prefix_stripped(self): # OpenRouter-style "vendor/model" names should match the tail. assert model_forces_max_completion_tokens("openai/gpt-5.4") is True assert model_forces_max_completion_tokens("openai/gpt-4o-mini") is True assert model_forces_max_completion_tokens("openai/o3-mini") is True def test_gpt_5_substring_in_middle_not_matched(self): # Only a prefix should match — "local-gpt-5-clone" is a different model. assert model_forces_max_completion_tokens("local-gpt-5-clone") is False