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9b73ae4db43774b96ced3b26d62f061fc8e097bd
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7 Commits

Author SHA1 Message Date
zhaoxi 9b73ae4db4 fix: 修复 5 项确定 bug + Provider UX 重做 + 文档统一 
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>
 2026-06-14 08:49:38 +00:00
zhaoxi 6f1bc27101 feat: v0.1.1 迭代——人设外键重构、Chat UI优化、意识节点防幻觉、日志双视图 
1. 人设外键重构：persona_template 成为 system_prompt 唯一权威来源，
   agent/系统节点通过 persona_id FK 引用，含数据迁移脚本
2. Chat UI：去掉底部AI提示、加号改为弹出菜单、新建对话乐观跳转
3. 意识节点：无可用worker时禁止编造agent_id，只能自行完成或拒绝
4. 日志页面：双tab布局（系统日志 + 工作流日志列表选择）
5. 其他：SSE流式聊天、对话删除/重命名、standalone模式修复

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
 2026-06-05 06:18:47 +00:00
zhaoxi 99520c69d7 feat(system):优化后端 
1.新增后端测试
2.增加了后端的加密
3.增加了i18n（国际化）
 2026-05-31 15:39:34 +00:00
zhaoxi affe460180 feat(frontend):优化前端页面设计 2026-05-29 16:44:17 +00:00
zhaoxi 78bd6adc48 feat: workflow和chat分离 
1，增加了创建workflow的页面
2.删除了event
 2026-05-14 15:51:28 +00:00
zhaoxi c0e4fd34ae refactor： 修复sqlmodel的问题 
* refactor: overhaul workflow and chat architecture

- Separate Chat and Workflow API endpoints and database models
- Use JSONB to store workflow execution context in Postgres
- Convert workflow engine to use pydantic-ai execution graphs inside a Ray task
- Update frontend React components to support standalone workflow creation
- Remove obsolete and broken workflow runner tests

Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

* refactor: overhaul workflow and chat architecture

- Separate Chat and Workflow API endpoints and database models
- Use JSONB to store workflow execution context in Postgres
- Convert workflow engine to use pydantic-ai execution graphs inside a Ray task
- Update frontend React components to support standalone workflow creation
- Remove obsolete and broken workflow runner tests

Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

* refactor: overhaul workflow and chat architecture

- Separate Chat and Workflow API endpoints and database models
- Use JSONB to store workflow execution context in Postgres
- Convert workflow engine to use pydantic-ai execution graphs inside a Ray task
- Update frontend React components to support standalone workflow creation
- Move workflow_engine inside workflow package to keep core root clean
- Remove obsolete and broken workflow runner tests

Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

* refactor: overhaul workflow and chat architecture

- Separate Chat and Workflow API endpoints and database models
- Use JSONB to store workflow execution context in Postgres
- Convert workflow engine to use pydantic-ai execution graphs inside a Ray task
- Update frontend React components to support standalone workflow creation
- Move workflow_engine inside workflow package to keep core root clean
- Replace sqlmodel with pure sqlalchemy mappings globally
- Remove obsolete and broken workflow runner tests

Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

---------

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
 2026-05-12 22:52:19 +08:00
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