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/core/work/workflow/workflow_engine.py

@@ -223,11 +223,28 @@ class Finalize(BaseNode[WorkflowGraphState, WorkflowDeps, str]):
     ) -> End[str]:
         ctx.state.final_status = self.status
         await ctx.deps.update_workflow_status(ctx.state.trace_id, self.status)
-        msg = (
-            "工作流执行完成！"
-            if self.status == WorkflowStatus.COMPLETED.value
-            else "工作流执行失败。"
-        )
+
+        if self.status == WorkflowStatus.COMPLETED.value:
+            summary_parts = []
+            for key, val in ctx.state.blackboard.items():
+                text = str(val)[:200]
+                summary_parts.append(f"• {key}: {text}")
+            summary = "\n".join(summary_parts) if summary_parts else ""
+            msg = f"工作流执行完成！\n{summary}" if summary else "工作流执行完成！"
+        else:
+            failed_logs = [
+                entry for entry in ctx.state.logs
+                if any(
+                    isinstance(v, (list, tuple)) and len(v) >= 2 and v[1] == "failed"
+                    for v in (entry.values() if isinstance(entry, dict) else [])
+                )
+            ]
+            msg = "工作流执行失败。"
+            if failed_logs:
+                last = list(failed_logs[-1].values())[0]
+                if isinstance(last, (list, tuple)) and len(last) >= 3:
+                    msg += f"\n失败原因: {last[2][:300]}"
+
         await ctx.deps.put_pending(ctx.state.trace_id, msg)
         return End(self.status)
 
@@ -295,9 +312,13 @@ async def _execute_step(
         state.logs[-1][str(state.current_step_index)] = [
             str(datetime.datetime.now()),
             "completed",
-            f"成功: {step_data.get('action', '')}",
+            output_text,
         ]
         await _persist_context(ctx, status=WorkflowStatus.RUNNING.value)
+        await ctx.deps.put_pending(
+            state.trace_id,
+            f"✅ 步骤 {state.current_step_index + 1} ({step_data.get('name', '')}) 完成:\n{output_text[:500]}",
+        )
 
         logic_gate = step_data.get("logic_gate") or {}
         if logic_gate.get("if_pass") == "exit":
@@ -314,6 +335,10 @@ async def _execute_step(
         "failed",
         output_text,
     ]
+    await ctx.deps.put_pending(
+        state.trace_id,
+        f"❌ 步骤 {state.current_step_index + 1} ({step_data.get('name', '')}) 失败:\n{output_text[:300]}",
+    )
     logic_gate = step_data.get("logic_gate") or {}
     fail_target = logic_gate.get("if_fail")
     if fail_target and "jump_to_step_" in fail_target: