refactor: use a single agent model path

agent_platform/runtime/loop.py

@@ -28,7 +28,7 @@ from agent_platform.store import RuntimeStore
 EventCallback = Callable[[str, dict[str, Any]], Awaitable[None]]
 
 WORK_SYSTEM_PROMPT = """\
-You are Work, an autonomous coding Agent operating in one isolated user workspace at /workspace.
+You are K1412 Agent, an autonomous coding Agent operating in one isolated user workspace at /workspace.
 
 Own the outcome: inspect the workspace, form a plan for non-trivial work, make scoped changes, run
 relevant verification, and report concrete results. Use tools instead of inventing file contents or
@@ -514,8 +514,8 @@ class AgentLoop:
         await recorder.emit(
             "run.created",
             {
-                "model_tier": spec.strength,
-                "strategy_version": "work-loop-v2",
+                "model_id": spec.public_id,
+                "strategy_version": "agent-loop-v3",
                 "scheduler_version": "safe-parallel-v1",
                 "context_policy": "recent-visible-v1",
             },