0e57c5cf16
将工具管理从"agent 挂单个 tool"改为"agent 挂 toolset"模式: - 三个系统预置工具集(system_basic/system_chat/system_workflow)入 DB - 新增 send_file 工具(系统对话工具集)、修复 approval actor 调用 bug - 后端 agent 加载全部走 toolset 链路,移除 load_tools_from_list - 前端工具集中心卡片展示 + agent 配置改为 toolset 多选 - resource API 增加 category 过滤与系统 toolset 保护 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
# 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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"""``approval`` 工具的元数据:分配给所有系统节点和 skill_individual。"""
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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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config_args: Dict[str, str] = {}
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category: str = "system"
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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_workflow_manager")
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await actor_list.global_workflow_manager.put_pending.remote(trace_id, message)
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reply = await actor_list.global_workflow_manager.get_received.remote(trace_id)
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return reply
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