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KiloStar/kilostar/worker_individual/ordinary_individual.py
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zhaoxi ee9bbbf676 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
2026-05-11 15:29:16 +00:00

51 lines
2.1 KiB
Python

# Copyright 2026 zhaoxi826
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from kilostar.worker_individual.base_individual import (
BaseIndividual,
WorkerIndividualDeps,
)
from kilostar.utils.logger import get_logger
logger = get_logger("ordinary_individual")
class OrdinaryIndividual(BaseIndividual):
"""
普通子个体:普通的 agent。
"""
def __init__(self, agent_config: dict):
super().__init__(agent_config)
async def run(self, task_event: dict) -> dict:
"""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。"""
if self.agent is None:
system_prompt = self.agent_config.get(
"prompt", "你是一个普通的AI助手,请尽力完成给定的任务。"
)
await self._init_agent("ordinary_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)
return {"output": result.data.output}
except Exception as e:
logger.exception(f"OrdinaryIndividual {self.agent_id} 执行失败: {e}")
raise