feat: support dynamic agent runner defaults

tests/unit_tests/provider/test_model_service.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import asyncio
 from types import SimpleNamespace
 from unittest.mock import AsyncMock, Mock
 
@@ -158,6 +159,28 @@ async def test_openai_embedding_call_overrides_placeholder_api_key():
     assert usage_info == {'prompt_tokens': 3, 'total_tokens': 3}
 
 
+@pytest.mark.asyncio
+async def test_model_manager_initialize_skips_space_sync_after_timeout():
+    ap = SimpleNamespace()
+    ap.discover = SimpleNamespace(get_components_by_kind=Mock(return_value=[]))
+    ap.instance_config = SimpleNamespace(data={'space': {'models_sync_timeout': 0.01}})
+    ap.logger = Mock()
+
+    mgr = ModelManager(ap)
+    mgr.load_models_from_db = AsyncMock()
+
+    async def slow_sync():
+        await asyncio.sleep(1)
+
+    mgr.sync_new_models_from_space = AsyncMock(side_effect=slow_sync)
+
+    await mgr.initialize()
+
+    mgr.load_models_from_db.assert_awaited_once()
+    mgr.sync_new_models_from_space.assert_awaited_once()
+    ap.logger.warning.assert_any_call('LangBot Space model sync timed out after 0.01s, skipping startup sync.')
+
+
 @pytest.mark.asyncio
 async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline():
     from langbot.pkg.api.http.service.model import LLMModelsService