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refactor(agent): trim model preset runtime wiring

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Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Xubin Ren
2026-05-12 20:06:22 +08:00
committed by Xubin Ren
co-authored by Cursor
parent 70b8daaee6
commit 8fcb24bb7c
3 changed files with 27 additions and 62 deletions
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tests/agent/test_self_model_preset.py
+9 -7
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@@ -104,11 +104,11 @@ def test_model_preset_setter_replaces_provider_from_snapshot(tmp_path) -> None:
model="base-model",
context_window_tokens=1000,
model_presets={"deep": preset},
model_preset_snapshot_builder=lambda _name: ProviderSnapshot(
provider_snapshot_loader=lambda preset_name=None: ProviderSnapshot(
provider=new_provider,
model=preset.model,
context_window_tokens=preset.context_window_tokens,
signature=("deep", preset.model),
signature=(preset_name, preset.model),
),
)
@@ -135,7 +135,7 @@ def test_model_preset_setter_failure_leaves_old_state(tmp_path) -> None:
model="base-model",
context_window_tokens=1000,
model_presets={"fast": preset},
model_preset_snapshot_builder=lambda _name: (_ for _ in ()).throw(
provider_snapshot_loader=lambda preset_name=None: (_ for _ in ()).throw(
RuntimeError("provider unavailable")
),
)
@@ -173,10 +173,11 @@ def test_active_model_preset_survives_unchanged_config_refresh(tmp_path) -> None
workspace=tmp_path,
model="base-model",
context_window_tokens=1000,
provider_snapshot_loader=lambda: default_snapshot,
provider_signature=default_snapshot.signature,
model_presets={"fast": ModelPresetConfig(model="openai/gpt-4.1")},
model_preset_snapshot_builder=lambda _name: fast_snapshot,
provider_snapshot_loader=lambda preset_name=None: (
fast_snapshot if preset_name == "fast" else default_snapshot
),
)
loop.set_model_preset("fast")
@@ -209,10 +210,11 @@ def test_config_model_refresh_clears_active_model_preset(tmp_path) -> None:
workspace=tmp_path,
model="base-model",
context_window_tokens=1000,
provider_snapshot_loader=lambda: webui_snapshot,
provider_snapshot_loader=lambda preset_name=None: (
fast_snapshot if preset_name == "fast" else webui_snapshot
),
provider_signature=("base-model", "auto", "openai", "sk-old"),
model_presets={"fast": ModelPresetConfig(model="openai/gpt-4.1")},
model_preset_snapshot_builder=lambda _name: fast_snapshot,
)
loop.set_model_preset("fast")