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 ```
58 lines
2.5 KiB
Markdown
58 lines
2.5 KiB
Markdown
# Project Risk Notes
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Date: 2026-06-12
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Owner: PMO
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## Executive Summary
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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.
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## Risks
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### R1: Demo scope is too broad
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- Impact: High
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- Probability: Medium
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- Signal: The product has many pages: chat, files, tasks, skills, marketplace, agents, MCP, cron, connectors, status, logs.
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- Concern: If the demo becomes a feature tour, leadership may not understand the main business value.
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- Suggested response: Use one storyline and only show pages that support it.
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### R2: Connector demo may be unstable
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- Impact: Medium
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- Probability: Medium
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- Signal: Outlook and external connector paths exist, but live external dependency can fail.
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- Concern: A connector failure could distract from the core Agent workspace story.
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- Suggested response: Treat connectors as optional. Demo configuration and explain target workflow if live connector is not stable.
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### R3: Skill learning flow may be too long for live presentation
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- Impact: Medium
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- Probability: High
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- Signal: Skill candidate, draft, safety, replay evaluation, review, and publish are powerful but require time.
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- Concern: Waiting for background learning may break the demo rhythm.
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- Suggested response: Show Skills page, explain lifecycle, and use pre-created examples.
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### R4: Leadership may ask for ROI
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- Impact: High
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- Probability: High
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- Signal: Management audience cares about adoption, risk, and next investment.
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- Concern: Technical progress alone will not answer "why continue?"
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- Suggested response: Position first pilots around repeated knowledge work, measurable accepted tasks, revision rounds, and time saved.
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### R5: Model output quality can vary
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- Impact: Medium
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- Probability: Medium
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- Signal: Live model generation may be verbose, miss details, or produce uneven structure.
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- Concern: Output quality variance may look like product instability.
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- Suggested response: Use revision as part of the story: Beaver supports feedback, continuation, and acceptance.
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## Management Decisions Needed
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1. Confirm the first 2-3 internal pilot workflows.
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2. Decide whether the next milestone optimizes for demo polish or pilot readiness.
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3. Pick one connector to harden first, preferably the one with the clearest business value.
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4. Define what evidence is required before a task can be considered accepted.
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