feat: 完善 N7 智能座舱交互与控制链路

src/cognitive_agent/generated/can_semantic_protocol.py

@@ -5,9 +5,9 @@ from __future__ import annotations
 
 from typing import Any, Iterable
 
-PROTOCOL_SOURCE_SHA256 = "cfb7a7eb28d14a82da70d44efece7f045a7a87a4cd549d7537dc00438c297e6e"
+PROTOCOL_SOURCE_SHA256 = "b597439d69fb292c0aa22c9db383a74f426c945cf0cca8ae492dde3e4d848051"
 PROTOCOL_MANIFEST: dict[str, Any] = {'schema': 'cognitive-agent-can-semantic-protocol/v1',
- 'version': '1.0.0',
+ 'version': '1.0.1',
  'description': 'Single source of truth for CAN0/CAN1 semantic commands and transport metadata. '
                 'Frame encoders and feedback algorithms remain named special handlers when they '
                 'require stateful closed-loop behavior.',
@@ -256,7 +256,7 @@ PROTOCOL_MANIFEST: dict[str, Any] = {'schema': 'cognitive-agent-can-semantic-pro
            {'id': 'can1.climate.power',
             'channel': 1,
             'domain': 'climate',
-            'capabilities': ['climate.set_power', 'climate.set_ac'],
+            'capabilities': ['climate.set_power'],
             'help': 'ac <on|off>',
             'patterns': [[{'literal': 'ac'}, {'enum': 'state', 'values': ['on', 'off']}]],
             'frames': [{'key': 'command',