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77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
"""Tests for Arcee Trinity Large Thinking per-model overrides.
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Arcee Trinity Large Thinking is a reasoning model that wants:
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- Fixed temperature=0.5 (vs the global default)
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- Compression threshold=0.75 (delay compression to preserve reasoning context)
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The helpers must match the bare model name, including when it arrives via
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OpenRouter as ``arcee-ai/trinity-large-thinking``, but must NOT hit sibling
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Arcee models like trinity-large-preview or trinity-mini.
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"""
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from __future__ import annotations
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import pytest
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from agent.auxiliary_client import (
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_compression_threshold_for_model,
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_fixed_temperature_for_model,
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_is_arcee_trinity_thinking,
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)
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@pytest.mark.parametrize(
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"model",
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[
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"trinity-large-thinking",
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"arcee-ai/trinity-large-thinking",
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"Arcee-AI/Trinity-Large-Thinking", # case-insensitive
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" trinity-large-thinking ", # whitespace tolerant
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],
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)
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def test_is_arcee_trinity_thinking_matches(model: str) -> None:
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assert _is_arcee_trinity_thinking(model) is True
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@pytest.mark.parametrize(
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"model",
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[
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None,
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"",
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"trinity-large-preview",
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"arcee-ai/trinity-large-preview:free",
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"trinity-mini",
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"arcee-ai/trinity-mini",
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"trinity-large", # prefix-only must not match
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"claude-sonnet-4.6",
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"gpt-5.4",
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],
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)
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def test_is_arcee_trinity_thinking_rejects_non_matches(model) -> None:
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assert _is_arcee_trinity_thinking(model) is False
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def test_fixed_temperature_for_trinity_thinking() -> None:
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assert _fixed_temperature_for_model("trinity-large-thinking") == 0.5
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assert _fixed_temperature_for_model("arcee-ai/trinity-large-thinking") == 0.5
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def test_fixed_temperature_sibling_arcee_models_unaffected() -> None:
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# Preview and mini do not pin temperature — caller chooses its default.
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assert _fixed_temperature_for_model("trinity-large-preview") is None
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assert _fixed_temperature_for_model("trinity-mini") is None
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def test_compression_threshold_for_trinity_thinking() -> None:
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assert _compression_threshold_for_model("trinity-large-thinking") == 0.75
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assert _compression_threshold_for_model("arcee-ai/trinity-large-thinking") == 0.75
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def test_compression_threshold_default_none_for_other_models() -> None:
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# None means "leave the user's config value unchanged".
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assert _compression_threshold_for_model(None) is None
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assert _compression_threshold_for_model("") is None
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assert _compression_threshold_for_model("trinity-large-preview") is None
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assert _compression_threshold_for_model("claude-sonnet-4.6") is None
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assert _compression_threshold_for_model("kimi-k2") is None
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