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/api/chat.py

@@ -14,7 +14,6 @@
 
 import json
 import asyncio
-import httpx
 from fastapi import APIRouter, Depends, HTTPException, Request
 from fastapi.responses import StreamingResponse
 from pydantic import BaseModel
@@ -164,7 +163,7 @@ async def stream_chat_message(
     request: Request,
     token_data: TokenData = Depends(Accessor.get_current_user),
 ):
-    """SSE 流式聊天端点：逐 token 推送 AI 回复。"""
+    """SSE 流式聊天端点：通过 regulatory_node agent 流式输出，支持工具调用。"""
     postgres_database = ray_actor_hook("postgres_database").postgres_database
 
     # 存用户消息
@@ -172,71 +171,35 @@ async def stream_chat_message(
         chat_id=chat_id, message=request_body.message, message_owner="user"
     )
 
-    # 获取 regulatory_node 的 provider 配置
+    # 构造 MessageRequest payload
-    node_config = await postgres_database.get_system_node_config.remote("regulatory_node")
+    payload = MessageRequest(
-    if not node_config:
+        platform="client",
-        raise HTTPException(status_code=500, detail="Regulatory node not configured")
+        user_name=token_data.user_id,
+        platform_id=chat_id,
+        message=request_body.message,
+    )
 
-    # 获取 provider 详情
+    regulatory_node = ray_actor_hook("regulatory_node").regulatory_node
-    from kilostar.core.global_state_machine.gsm_snapshot import fetch_snapshot
+    token_queue = asyncio.Queue()
 
-    global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
+    # stream_working.remote() returns an asyncio.Task in standalone mode
-    snapshot = await fetch_snapshot(gsm_actor=global_state_machine)
+    stream_task = regulatory_node.stream_working.remote(payload, token_queue)
-    provider = snapshot.providers.get(node_config.provider_title)
-    if not provider:
-        raise HTTPException(status_code=500, detail="Provider not available")
-
-    # 加载历史消息作为上下文
-    history_msgs = await postgres_database.list_chat_messages.remote(chat_id=chat_id)
-    messages = []
-
-    system_prompt = "你是 KiloStar 助手，友善、简洁地回答用户的问题。"
-    if node_config.persona_id:
-        tpl = await postgres_database.get_template.remote(node_config.persona_id)
-        if tpl and tpl.system_prompt:
-            system_prompt += "\n" + tpl.system_prompt
-    messages.append({"role": "system", "content": system_prompt})
-
-    for msg in history_msgs:
-        role = "user" if msg.message_owner == "user" else "assistant"
-        messages.append({"role": role, "content": msg.message})
 
     async def event_generator():
         full_response = ""
         try:
-            async with httpx.AsyncClient(timeout=120.0) as client:
+            while True:
-                url = provider.provider_url.rstrip("/") + "/chat/completions"
+                if await request.is_disconnected():
-                payload = {
+                    stream_task.cancel()
-                    "model": node_config.model_id,
+                    break
-                    "messages": messages,
+                try:
-                    "stream": True,
+                    token = await asyncio.wait_for(token_queue.get(), timeout=0.5)
-                }
+                except asyncio.TimeoutError:
-                async with client.stream(
+                    continue
-                    "POST",
+                if token is None:
-                    url,
+                    break
-                    json=payload,
+                full_response += token
-                    headers={
+                yield f"data: {json.dumps({'token': token})}\n\n"
-                        "Authorization": f"Bearer {provider.provider_apikey}",
-                        "Content-Type": "application/json",
-                    },
-                ) as resp:
-                    async for line in resp.aiter_lines():
-                        if await request.is_disconnected():
-                            break
-                        if not line.startswith("data: "):
-                            continue
-                        data_str = line[6:]
-                        if data_str.strip() == "[DONE]":
-                            break
-                        try:
-                            chunk = json.loads(data_str)
-                            delta = chunk.get("choices", [{}])[0].get("delta", {})
-                            token = delta.get("content", "")
-                            if token:
-                                full_response += token
-                                yield f"data: {json.dumps({'token': token})}\n\n"
-                        except (json.JSONDecodeError, IndexError, KeyError):
-                            continue
         except Exception as e:
             from kilostar.utils.logger import get_logger
             get_logger("chat_stream").exception(f"Stream error: {e}")

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]: