fix: chat stream 走 regulatory agent 支持工具调用，修复 workflow ValidationError

1. chat.py stream 端点改为调用 regulatory_node.stream_working()（pydantic-ai
   run_stream），支持工具调用 + 逐 token 流式输出
2. regulatory_node 新增 stream_working 方法，通过 asyncio.Queue 推送 token
3. ConsciousnessNodeDeps.available_skills 加默认值 None，修复 ForWorkflowInput/
   ForregulatoryInput 路径的 ValidationError

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

kilostar/core/individual/consciousness_node/template.py

@@ -28,7 +28,7 @@ class ConsciousnessNodeDeps(DepsModel):
     """ConsciousnessNode 在 pydantic-ai Agent 中使用的依赖：原始指令、当前指令以及可用 Skill 列表。"""
     original_command: str
     command: str
-    available_skills: Optional[List[str]]
+    available_skills: Optional[List[str]] = None
 
 class ConsciousnessNodeInput(RequestModel):
     """ConsciousnessNode 各类入参的共同基类，仅用于打 schema 标签。"""

kilostar/core/individual/regulatory_node/regulatory_node.py

@@ -12,6 +12,7 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 
+import asyncio
 import datetime
 from typing import Union
 from kilostar.utils.standalone_proxy import actor_class
@@ -125,6 +126,37 @@ class RegulatoryNode:
         """
         return await self._run(payload)
 
+    async def stream_working(self, payload: MessageRequest, token_queue: "asyncio.Queue") -> None:
+        """流式工具调用版本：逐 token 推送到 queue，工具调用结果也会通过 token 输出。
+
+        完成后 push None 作为终止信号。
+        """
+        platform = payload.platform
+        user_name = payload.user_name
+        message = payload.message
+        time_str = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+        if self.agent is None:
+            await token_queue.put(None)
+            return
+
+        try:
+            deps = RegulatoryNodeDeps(
+                platform=platform,
+                user_name=user_name,
+                time=time_str
+            )
+            async with self.agent.run_stream(
+                user_prompt=message, deps=deps, output_type=str
+            ) as stream_result:
+                async for delta in stream_result.stream_text(delta=True):
+                    await token_queue.put(delta)
+        except Exception as e:
+            self.logger.exception(f"RegulatoryNode.stream_working failed: {e}")
+            await token_queue.put(f"\n\n[错误: {str(e)}]")
+        finally:
+            await token_queue.put(None)
+
     async def _run(
         self, payload: MessageRequest
     ) -> Union[MessageResponse, None]: