fix: 修复 5 项确定 bug + Provider UX 重做 + 文档统一

Bug fixes:
- fix(dao): AsyncSession.delete 补齐漏掉的 await（provider/user/individual 共 4 处）
- fix(worker): result.data.output → result.output.output（pydantic-ai 1.x API 适配）
- fix(api): 删除 create_worker_from_template 死端点（ORM 字段不匹配必崩）
- fix(api): /provider/test 按 provider_type 分支适配 Anthropic/Gemini/OpenAI 三种协议
- fix(chat): SSE 流式聊天在 distributed 模式 fallback 到非流式，避免 asyncio.Queue 序列化崩溃

Features (previously unstaged):
- feat(provider): Provider 管理页重做（品牌图标、5 种类型、Test Connection、编辑模式）
- feat(provider): 新增 Gemini provider_type 支持
- feat(workflow): Finalize 节点输出 blackboard 摘要 + 失败原因；步骤完成/失败实时推送 SSE
- feat(i18n): regulatory_node 提示词从路由模式改为直接对话模式（中英双语）
- feat(consciousness): dynamic_prompt 支持 locale 国际化
- feat(logs): SystemLogsView 自动刷新 + 暂停按钮

Docs:
- docs: README/README-EN 统一为"开源通用多 Agent 协作平台"口径
- docs: ROADMAP 按 v0.1.x / v0.2.x / v0.3.x 重组
- docs: project.md 重写为结构化项目介绍

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

kilostar/api/chat.py

@@ -163,15 +163,15 @@ async def stream_chat_message(
     request: Request,
     token_data: TokenData = Depends(Accessor.get_current_user),
 ):
-    """SSE 流式聊天端点：通过 regulatory_node agent 流式输出，支持工具调用。"""
+    """SSE 流式聊天端点：standalone 模式下逐 token 流式输出；distributed 模式 fallback 到整段回复。"""
+    from kilostar.utils.standalone_proxy import _STANDALONE
+
     postgres_database = ray_actor_hook("postgres_database").postgres_database
 
-    # 存用户消息
     await postgres_database.add_chat_message.remote(
         chat_id=chat_id, message=request_body.message, message_owner="user"
     )
 
-    # 构造 MessageRequest payload
     payload = MessageRequest(
         platform="client",
         user_name=token_data.user_id,
@@ -180,9 +180,21 @@ async def stream_chat_message(
     )
 
     regulatory_node = ray_actor_hook("regulatory_node").regulatory_node
-    token_queue = asyncio.Queue()
 
-    # stream_working.remote() returns an asyncio.Task in standalone mode
+    if not _STANDALONE:
+        async def fallback_generator():
+            resp = await regulatory_node.working.remote(payload)
+            full_response = resp.reply_message if resp else ""
+            if full_response:
+                await postgres_database.add_chat_message.remote(
+                    chat_id=chat_id, message=full_response, message_owner="regulatory_node"
+                )
+            yield f"data: {json.dumps({'token': full_response})}\n\n"
+            yield f"data: {json.dumps({'done': True, 'full_message': full_response})}\n\n"
+
+        return StreamingResponse(fallback_generator(), media_type="text/event-stream")
+
+    token_queue = asyncio.Queue()
     stream_task = regulatory_node.stream_working.remote(payload, token_queue)
 
     async def event_generator():
@@ -207,7 +219,6 @@ async def stream_chat_message(
                 full_response = "抱歉，生成回复时出错。"
                 yield f"data: {json.dumps({'token': full_response})}\n\n"
 
-        # 流结束，存入数据库
         if full_response:
             await postgres_database.add_chat_message.remote(
                 chat_id=chat_id,