Files
steven_li 4b0bf65ace ```
feat(engine): 优化智能体循环中的助手消息处理逻辑

- 在没有工具调用时才添加助手消息到上下文
- 确保工具调用响应正确添加到消息上下文中
- 修复了消息构建的条件逻辑

fix(cron): 改进定时任务调度的时间解析功能

- 添加正则表达式导入用于时间显示解析
- 实现从显示文本中提取毫秒间隔的功能
- 增强整数转换的安全性,避免类型错误
- 优化定时任务配置的解析逻辑

feat(outlook): 增强Outlook集成的功能和稳定性

- 将默认超时时间从10秒增加到180秒
- 为状态检查函数添加可选的验证参数
- 串行执行邮件概览获取操作而非并行
- 改进连接状态验证逻辑

feat(channel): 添加设备名称作为会话标识的选项

- 为终端WebSocket适配器添加新的配置选项
- 实现基于设备名称生成会话对等ID的功能
- 记录原始对等ID和设备名称的元数据
- 支持从设备名称创建会话对等ID

feat(skills): 完善技能学习评估系统和进度跟踪

- 在应用启动时自动调度待评估的技能草稿
- 为技能评估工作创建独立的循环工厂
- 实现异步技能评估任务的取消和清理机制
- 添加技能评估进度报告和状态跟踪功能
- 扩展会话列表API以包含更多详细信息
- 防止对不存在的会话进行操作
- 优化技能草稿提交和评估的业务逻辑

perf(skills): 提升技能评估的并发性能

- 实现并行技能案例评估以提高效率
- 添加最大并行案例数的环境变量控制
- 实现实时评估进度更新和回调机制
- 优化评估过程中的资源管理和同步

refactor(services): 创建隔离的智能体循环实例

- 添加创建独立智能体循环的工厂方法
- 确保新循环继承运行时服务配置
- 支持技能评估等需要隔离环境的场景
```
2026-06-15 14:48:16 +08:00

2.5 KiB

Project Risk Notes

Date: 2026-06-12 Owner: PMO

Executive Summary

The Beaver internal demo project is on track for a management review next week, but several risks require attention. The core product loop is demoable: login, files, chat-to-task, task detail, evidence, revision, acceptance, skills, cron, status, and logs. The main risks are demo stability, connector maturity, and clarity of business story.

Risks

R1: Demo scope is too broad

  • Impact: High
  • Probability: Medium
  • Signal: The product has many pages: chat, files, tasks, skills, marketplace, agents, MCP, cron, connectors, status, logs.
  • Concern: If the demo becomes a feature tour, leadership may not understand the main business value.
  • Suggested response: Use one storyline and only show pages that support it.

R2: Connector demo may be unstable

  • Impact: Medium
  • Probability: Medium
  • Signal: Outlook and external connector paths exist, but live external dependency can fail.
  • Concern: A connector failure could distract from the core Agent workspace story.
  • Suggested response: Treat connectors as optional. Demo configuration and explain target workflow if live connector is not stable.

R3: Skill learning flow may be too long for live presentation

  • Impact: Medium
  • Probability: High
  • Signal: Skill candidate, draft, safety, replay evaluation, review, and publish are powerful but require time.
  • Concern: Waiting for background learning may break the demo rhythm.
  • Suggested response: Show Skills page, explain lifecycle, and use pre-created examples.

R4: Leadership may ask for ROI

  • Impact: High
  • Probability: High
  • Signal: Management audience cares about adoption, risk, and next investment.
  • Concern: Technical progress alone will not answer "why continue?"
  • Suggested response: Position first pilots around repeated knowledge work, measurable accepted tasks, revision rounds, and time saved.

R5: Model output quality can vary

  • Impact: Medium
  • Probability: Medium
  • Signal: Live model generation may be verbose, miss details, or produce uneven structure.
  • Concern: Output quality variance may look like product instability.
  • Suggested response: Use revision as part of the story: Beaver supports feedback, continuation, and acceptance.

Management Decisions Needed

  1. Confirm the first 2-3 internal pilot workflows.
  2. Decide whether the next milestone optimizes for demo polish or pilot readiness.
  3. Pick one connector to harden first, preferably the one with the clearest business value.
  4. Define what evidence is required before a task can be considered accepted.