test(arcee): cover Trinity Large Thinking temperature + compression overrides

Salvage follow-up for PR NousResearch#20344:
- AUTHOR_MAP entry for rob-maron (required by CI)
- 17 parametrized tests covering _is_arcee_trinity_thinking,
  _fixed_temperature_for_model Trinity override, and
  _compression_threshold_for_model, including sibling-model negatives
  (trinity-large-preview, trinity-mini) and the OpenRouter slug form.

Author: teknium1

scripts/release.py

@@ -102,6 +102,7 @@
     "50561768+zhanggttry@users.noreply.github.com": "zhanggttry",
     "formulahendry@gmail.com": "formulahendry",
     "93757150+bogerman1@users.noreply.github.com": "bogerman1",
+    "132852777+rob-maron@users.noreply.github.com": "rob-maron",
     # Matrix parity salvage batch (April 2026)
     "sr@samirusani": "samrusani",
     "angelclaw@AngelMacBook.local": "angel12",

tests/agent/test_arcee_trinity_overrides.py

@@ -0,0 +1,76 @@
+"""Tests for Arcee Trinity Large Thinking per-model overrides.
+
+Arcee Trinity Large Thinking is a reasoning model that wants:
+- Fixed temperature=0.5 (vs the global default)
+- Compression threshold=0.75 (delay compression to preserve reasoning context)
+
+The helpers must match the bare model name, including when it arrives via
+OpenRouter as ``arcee-ai/trinity-large-thinking``, but must NOT hit sibling
+Arcee models like trinity-large-preview or trinity-mini.
+"""
+
+from __future__ import annotations
+
+import pytest
+
+from agent.auxiliary_client import (
+    _compression_threshold_for_model,
+    _fixed_temperature_for_model,
+    _is_arcee_trinity_thinking,
+)
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        "trinity-large-thinking",
+        "arcee-ai/trinity-large-thinking",
+        "Arcee-AI/Trinity-Large-Thinking",  # case-insensitive
+        "  trinity-large-thinking  ",  # whitespace tolerant
+    ],
+)
+def test_is_arcee_trinity_thinking_matches(model: str) -> None:
+    assert _is_arcee_trinity_thinking(model) is True
+
+
+@pytest.mark.parametrize(
+    "model",
+    [
+        None,
+        "",
+        "trinity-large-preview",
+        "arcee-ai/trinity-large-preview:free",
+        "trinity-mini",
+        "arcee-ai/trinity-mini",
+        "trinity-large",  # prefix-only must not match
+        "claude-sonnet-4.6",
+        "gpt-5.4",
+    ],
+)
+def test_is_arcee_trinity_thinking_rejects_non_matches(model) -> None:
+    assert _is_arcee_trinity_thinking(model) is False
+
+
+def test_fixed_temperature_for_trinity_thinking() -> None:
+    assert _fixed_temperature_for_model("trinity-large-thinking") == 0.5
+    assert _fixed_temperature_for_model("arcee-ai/trinity-large-thinking") == 0.5
+
+
+def test_fixed_temperature_sibling_arcee_models_unaffected() -> None:
+    # Preview and mini do not pin temperature — caller chooses its default.
+    assert _fixed_temperature_for_model("trinity-large-preview") is None
+    assert _fixed_temperature_for_model("trinity-mini") is None
+
+
+def test_compression_threshold_for_trinity_thinking() -> None:
+    assert _compression_threshold_for_model("trinity-large-thinking") == 0.75
+    assert _compression_threshold_for_model("arcee-ai/trinity-large-thinking") == 0.75
+
+
+def test_compression_threshold_default_none_for_other_models() -> None:
+    # None means "leave the user's config value unchanged".
+    assert _compression_threshold_for_model(None) is None
+    assert _compression_threshold_for_model("") is None
+    assert _compression_threshold_for_model("trinity-large-preview") is None
+    assert _compression_threshold_for_model("claude-sonnet-4.6") is None
+    assert _compression_threshold_for_model("kimi-k2") is None