style: 项目重构
1.项目改名为kilostar(千星) 2.后端部分进行大规模重构 3.node功能进行大规模重新设计
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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 .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 kilostar.plugin.tool_plugin.base_tool import BaseToolData
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from kilostar.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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"""ApprovalToolData 核心组件类。
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这是一个可被智能体动态调用的外部工具组件类。它定义了清晰的输入参数 Schema 与执行契约,赋予智能体与外界真实系统(如文件、网页、API)进行交互的能力。"""
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is_system: bool = True
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action_scope: List[
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Literal[
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"control_node",
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"consciousness_node",
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"regulatory_node",
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"growth_node",
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"",
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"",
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]
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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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