refactor(core): decouple actors and remove workflow templates (#67)

Removes the deprecated `workflow_template` concept entirely across both backend API routers, internal logic handling within the `supervisory_node` and `consciousness_node`, and front-end components. Enables `consciousness_node` to work autonomously.

Also refactors core package structure to enforce the "one python package, one Ray Actor" architectural rule. `GlobalWorkflowManager`, `WorkflowRunningEngine`, `PostgresDatabase`, and `WorkerCluster` have been moved to their own top-level decoupled package directories with properly exported `__init__.py` modules. Test suites have been relocated and import paths updated across the system.

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

pretor/worker_individual/special_individual.py

@@ -12,10 +12,14 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 
-from pretor.worker_individual.base_individual import BaseIndividual, WorkerIndividualDeps
+from pretor.worker_individual.base_individual import (
+    BaseIndividual,
+    WorkerIndividualDeps,
+)
 from pretor.utils.logger import get_logger
 
-logger = get_logger('special_individual')
+logger = get_logger("special_individual")
+
 
 class SpecialIndividual(BaseIndividual):
     """
@@ -29,18 +33,17 @@ class SpecialIndividual(BaseIndividual):
         """执行与 run 相关的核心业务流转操作。
         该方法封装了具体的算法策略或状态控制逻辑，确保操作能够在事务上下文中被原子且一致地执行。
         Args:        task_event (dict): 由事件总线或工作流引擎分发过来的事件载荷，封装了触发此次调用的上下文快照与任务目标指令。
-        Returns:         (dict): 高度聚合的字典结构数据，将多维度的属性特征或统计指标组合后一并返回。    """
+        Returns:         (dict): 高度聚合的字典结构数据，将多维度的属性特征或统计指标组合后一并返回。"""
         if self.agent is None:
-            system_prompt = self.agent_config.get("prompt", "你是一个特殊的AI助手，负责处理特殊类型的任务。")
+            system_prompt = self.agent_config.get(
+                "prompt", "你是一个特殊的AI助手，负责处理特殊类型的任务。"
+            )
             await self._init_agent("special_individual", system_prompt)
 
         deps = WorkerIndividualDeps(task_event=task_event)
         self.agent.retries = 3
         try:
-            result = await self.agent.run(
-                f"请执行以下任务：\n{task_event}",
-                deps=deps
-            )
+            result = await self.agent.run(f"请执行以下任务：\n{task_event}", deps=deps)
             return {"output": result.data.output}
         except Exception as e:
             logger.exception(f"SpecialIndividual {self.agent_id} 执行失败: {e}")