from agent_platform.models import MODEL_SPECS, get_model_spec, openai_model_list


def test_fixed_public_model_matrix() -> None:
    assert set(MODEL_SPECS) == {
        "chat-light",
        "chat-medium",
        "chat-high",
        "chat-extreme",
        "work-light",
        "work-medium",
        "work-high",
        "work-extreme",
    }
    assert get_model_spec("chat-light").provider_model == "ChatGPT-5.6:Luna"
    assert get_model_spec("work-medium").provider_model == "ChatGPT-5.6:Terra"
    assert get_model_spec("work-high").provider_model == "ChatGPT-5.6:Sol"
    extreme = get_model_spec("work-extreme")
    assert extreme.provider == "deepseek"
    assert extreme.provider_model == "deepseek-v4-pro"
    assert extreme.thinking_enabled is True
    assert extreme.reasoning_effort == "max"
    assert {item["id"] for item in openai_model_list()["data"]} == set(MODEL_SPECS)