d84212f780
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。
44 lines
1.7 KiB
Python
44 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 pretor.worker_individual.base_individual import BaseIndividual, WorkerIndividualDeps
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from pretor.utils.logger import get_logger
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logger = get_logger('special_individual')
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class SpecialIndividual(BaseIndividual):
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"""
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特殊子个体:执行特殊任务的 agent,如生成语音、视频等。
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"""
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def __init__(self, agent_config: dict):
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super().__init__(agent_config)
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async def run(self, task_event: dict) -> dict:
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if self.agent is None:
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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。")
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await self._init_agent("special_individual", system_prompt)
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deps = WorkerIndividualDeps(task_event=task_event)
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self.agent.retries = 3
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try:
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result = await self.agent.run(
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f"请执行以下任务:\n{task_event}",
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deps=deps
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)
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return {"output": result.data.output}
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except Exception as e:
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logger.exception(f"SpecialIndividual {self.agent_id} 执行失败: {e}")
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raise
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