51 lines
2.2 KiB
Python
51 lines
2.2 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("special_individual")
|
|
|
|
|
|
class SpecialIndividual(BaseIndividual):
|
|
"""
|
|
特殊子个体：执行特殊任务的 agent，如生成语音、视频等。
|
|
"""
|
|
|
|
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)
|
|
return {"output": result.data.output}
|
|
except Exception as e:
|
|
logger.exception(f"SpecialIndividual {self.agent_id} 执行失败: {e}")
|
|
raise
|