feat(task): 添加任务修订功能和超时处理机制

添加了 `revise_task` 路由动作类型，允许用户修改、纠正或重新执行最新活动任务结果。
实现了工具失败指导原则，防止相同类别工具重复失败。
为任务规划器添加了超时处理机制，避免长时间等待。

BREAKING CHANGE: 任务路由逻辑已更新，新增 `revise_task` 动作类型。

fix(api): 修复任务详情API返回完整流程投影

修复了任务详情API端点，现在会包含过滤后的流程运行、事件和工件信息，
并确保时间戳字段正确序列化。

refactor(engine): 优化任务技能解析器摘要节点处理

改进了任务技能解析器对摘要节点的处理逻辑，对于仅依赖文本生成功能的摘要节
点不再分配具体技能，直接使用依赖项输出进行汇总。

test: 增加任务修订和超时处理测试用例

添加了测试用例验证任务修订输入记录反馈、超时回退到单模式以及
摘要节点技能解析等新功能。

app-instance/backend/beaver/interfaces/web/app.py

@@ -1635,6 +1635,8 @@ def create_app(
 
     @app.get("/api/tasks/{task_id}")
     async def get_task(task_id: str, request: Request) -> dict[str, Any]:
+        from beaver.services.process_service import SessionProcessProjector
+
         loaded = get_agent_service(request).create_loop().boot()
         task_service = loaded.task_service
         if task_service is None:
@@ -1642,10 +1644,18 @@ def create_app(
         task = task_service.get_task(task_id)
         if task is None:
             raise HTTPException(status_code=404, detail="Task not found")
+        process_projection = SessionProcessProjector(
+            loaded.session_manager,
+            loaded.run_memory_store,
+        ).project(task.session_id)
+        filtered_process = _filter_task_process_projection(process_projection, task_id)
         return {
             **task_service.to_api_dict(task),
             "events": [event.to_dict() for event in task_service.list_events(task_id)],
             "runs": _task_run_views(task, task_service.list_events(task_id), loaded.session_manager, loaded.run_memory_store),  # type: ignore[arg-type]
+            "process_runs": filtered_process["runs"],
+            "process_events": filtered_process["events"],
+            "process_artifacts": filtered_process["artifacts"],
         }
 
     @app.delete("/api/tasks/{task_id}")
@@ -2153,6 +2163,33 @@ def _task_run_views(task: Any, events: list[Any], session_manager: Any, run_memo
     return views
 
 
+def _filter_task_process_projection(projection: dict[str, Any], task_id: str) -> dict[str, list[dict[str, Any]]]:
+    def belongs_to_task(item: dict[str, Any]) -> bool:
+        metadata = item.get("metadata")
+        return isinstance(metadata, dict) and metadata.get("task_id") == task_id
+
+    def with_task_metadata(item: dict[str, Any]) -> dict[str, Any]:
+        copied = dict(item)
+        metadata = dict(copied.get("metadata") or {})
+        metadata.setdefault("task_id", task_id)
+        copied["metadata"] = metadata
+        return copied
+
+    runs = [with_task_metadata(item) for item in projection.get("runs", []) if isinstance(item, dict) and belongs_to_task(item)]
+    run_ids = {str(item.get("run_id")) for item in runs if item.get("run_id")}
+    events = [
+        with_task_metadata(item)
+        for item in projection.get("events", [])
+        if isinstance(item, dict) and (belongs_to_task(item) or str(item.get("run_id")) in run_ids)
+    ]
+    artifacts = [
+        with_task_metadata(item)
+        for item in projection.get("artifacts", [])
+        if isinstance(item, dict) and (belongs_to_task(item) or str(item.get("run_id")) in run_ids)
+    ]
+    return {"runs": runs, "events": events, "artifacts": artifacts}
+
+
 def _agent_labels_for_task_events(events: list[Any]) -> dict[str, str]:
     labels: dict[str, str] = {}
     for event in events: