chore: initial commit for Pretor v0.1.0-alpha
正式发布 Pretor 平台的首个 alpha 版本。本项目旨在构建一个基于分布式架构的多智能体协同工作流水线。 核心功能实现: 1. 建立基于 BaseIndividual 的动态插件加载机制。 2. 实现三类核心 worker_individual 子个体。 3. 集成 Ray 框架支持分布式集群调度。 4. 基于 PostgreSQL 的全量持久化存储方案。 5. 提供完整的 FastAPI 后端与 React 前端交互界面。
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from .approval import ApprovalToolData, approval
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__all__ = ["ApprovalToolData", "approval"]
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# Copyright 2026 zhaoxi826
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from pretor.plugin.tool_plugin.base_tool import BaseToolData
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from pretor.utils.ray_hook import ray_actor_hook
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from typing import List, Literal, Dict
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class ApprovalToolData(BaseToolData):
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is_system: bool = True
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action_scope: List[Literal["control_node", "consciousness_node", "supervisory_node", "growth_node", "", ""]] = [
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"control_node", "consciousness_node"]
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config_args: Dict[str, str] = {}
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async def approval(message: str, trace_id: str) -> str:
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"""
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当任务存在某些高风险操作或者计划需要让用户审批,发送请求给用户等待用户审批
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Args:
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message: 发送给用户的请求
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trace_id:
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Returns:
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用户的审批结果
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"""
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actor_list = ray_actor_hook("global_state_machine")
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await actor_list.global_state_machine.put_pending.remote(trace_id, message)
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reply = await actor_list.global_state_machine.get_received.remote(trace_id)
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return reply
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{
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}
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