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>
80 lines
2.8 KiB
Python
80 lines
2.8 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.core.work.workflow.workflow import KiloStarWorkflow, WorkflowStep
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from kilostar.utils.agent_model import ResponseModel, DepsModel, RequestModel
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from pydantic import Field
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from typing import Optional, List
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# 意识节点回复类
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class ConsciousnessNodeResponse(ResponseModel):
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"""Consciousness response model,是意识节点所有回复类型的父类"""
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pass
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class ConsciousnessNodeDeps(DepsModel):
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"""ConsciousnessNode 在 pydantic-ai Agent 中使用的依赖：原始指令、当前指令以及可用 Skill 列表。"""
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original_command: str
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command: str
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available_skills: Optional[List[dict]] = None
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locale: str = "zh"
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class ConsciousnessNodeInput(RequestModel):
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"""ConsciousnessNode 各类入参的共同基类，仅用于打 schema 标签。"""
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pass
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class ForWorkflowEngine(ConsciousnessNodeResponse):
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"""生成workflow并放入WorkflowEngine"""
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workflow: KiloStarWorkflow = Field(
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..., description="生成好的符合规范的完整工作流对象。"
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)
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reasoning: str = Field(..., description="生成此工作流的原因和思路简述。")
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class ForWorkflow(ConsciousnessNodeResponse):
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"""处理workflow中需要ConsciousnessNode的工作"""
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output: str = Field(..., description="对当前工作流步骤的具体处理结果或指导意见。")
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class ForregulatoryNode(ConsciousnessNodeResponse):
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"""工作流完成后进行校验并返回给regulatoryNode"""
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output: str = Field(
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..., description="为监控节点提供的全工作流执行情况的技术性总结报告。"
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)
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class ForWorkflowEngineInput(ConsciousnessNodeInput):
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"""从 RegulatoryNode 移交过来生成 Workflow 的入参：原始指令 + 已注册的 Skill 列表。"""
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original_command: str
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available_skills: list[dict] | None = None
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class ForWorkflowInput(ConsciousnessNodeInput):
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"""工作流执行期分配给 ConsciousnessNode 的步骤入参：当前 step + 原始指令上下文。"""
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workflow_step: WorkflowStep
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original_command: str
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class ForregulatoryInput(ConsciousnessNodeInput):
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"""工作流跑完后回交给 RegulatoryNode 时的入参：完整 workflow 对象 + 原始指令。"""
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workflow: KiloStarWorkflow
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original_command: str
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