zhaoxi
9b73ae4db4
Bug fixes: - fix(dao): AsyncSession.delete 补齐漏掉的 await（provider/user/individual 共 4 处） - fix(worker): result.data.output → result.output.output（pydantic-ai 1.x API 适配） - fix(api): 删除 create_worker_from_template 死端点（ORM 字段不匹配必崩） - fix(api): /provider/test 按 provider_type 分支适配 Anthropic/Gemini/OpenAI 三种协议 - fix(chat): SSE 流式聊天在 distributed 模式 fallback 到非流式，避免 asyncio.Queue 序列化崩溃 Features (previously unstaged): - feat(provider): Provider 管理页重做（品牌图标、5 种类型、Test Connection、编辑模式） - feat(provider): 新增 Gemini provider_type 支持 - feat(workflow): Finalize 节点输出 blackboard 摘要 + 失败原因；步骤完成/失败实时推送 SSE - feat(i18n): regulatory_node 提示词从路由模式改为直接对话模式（中英双语） - feat(consciousness): dynamic_prompt 支持 locale 国际化 - feat(logs): SystemLogsView 自动刷新 + 暂停按钮 Docs: - docs: README/README-EN 统一为"开源通用多 Agent 协作平台"口径 - docs: ROADMAP 按 v0.1.x / v0.2.x / v0.3.x 重组 - docs: project.md 重写为结构化项目介绍 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
48 lines
1.8 KiB
Python
48 lines
1.8 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.worker_individual.base_individual import (
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BaseIndividual,
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WorkerIndividualDeps,
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)
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from kilostar.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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"""执行一次特殊任务（语音/视频等特殊产物）：懒初始化 Agent 后跑出结果。"""
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if self.agent is None:
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system_prompt = self.agent_config.get(
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"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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)
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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(f"请执行以下任务：\n{task_event}", deps=deps)
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return {"output": result.output.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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