api-server/docs/operations/ai-unified-rollout-plan.md
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docs(ai): close unified business migration phase
- Inventory: updated with M-AI-08 PASS as baseline, Legacy retention details
- Closure: all 6 milestones PASS commits recorded, feature flag matrix
- Rollout plan: 7-stage progressive rollout with metrics & rollback
- Gitea: M-AI-09 renamed to M-AI-RETIRE-01
- Stage naming: M-AI-HARDENING + M-AI-RETIRE for post-migration phases

AI core business migration stage: DONE
Next stage: production grayscale rollout (M-AI-HARDENING)

Co-Authored-By: Claude <noreply@anthropic.com>
2026-06-22 22:19:37 +08:00

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AI Unified Engine 生产灰度计划

日期2026-06-22 状态:计划阶段 — 尚未执行


阶段定义

阶段 范围 最短观察期 进入条件
Stage 0 内部开发账号 1 天 M-AI-08 PASSCI 全绿
Stage 1 内部真实数据 3 天 Stage 0 无 P0/P1
Stage 2 1% 白名单 7 天 Stage 1 无 P0/P1
Stage 3 5% 7 天 Stage 2 无 P0/P1
Stage 4 20% 14 天 Stage 3 无 P0/P1
Stage 5 50% 14 天 Stage 4 无 P0/P1
Stage 6 100% 30 天 Stage 5 无 P0/P1

每阶段观察指标

指标 正常范围 告警阈值
Job 创建成功率 > 99% < 95%
queued→running 延迟 < 5s > 30s
running→succeeded 时长 按 Job Type 定义 > timeoutMs
succeeded rate > 95% < 85%
failed rate < 5% > 10%
retry rate < 3% > 10%
Outbox 发布延迟 < 1s > 10s
重复 Artifact 数量 0 > 0
Token 成本偏差 < 10% > 30%
跨用户安全事件 0 > 0

暂停条件

  • 任一 P0 问题
  • 任一 P1 问题且未在 1 小时内修复
  • failed rate 超过告警阈值
  • 成本偏差超过 50%
  • 跨用户数据泄漏

回滚操作

1. 修改对应 FeatureFlag: enabled = false
2. 新请求立即走 Legacy
3. 已创建 Unified Job 继续完成
4. 已生成产物保留
5. 无需数据库回滚

数据负责人

  • 每阶段指定一名值班人员
  • 记录每日指标快照
  • 异常 30 分钟内升级