feat(admin-web,backend): F1-5b Wave B UI-3 + UI-5 admin-web sandbox 透出补强 (W1)

UI-3 AIDashboard sandbox 提示 + today_calls 分组:
- 后端 schemas/admin_ai.py DashboardResponse 加 today_live_calls / today_sandbox_calls 字段(默认 0,向后兼容)
- 后端 services/ai/admin_service.py _get_range_stats SELECT 加 2 个 FILTER COUNT 表达式
- 前端 api/adminAI.ts DashboardResponse 类型补 2 字段
- 前端 pages/AIDashboard.tsx
  - 顶部加 sandbox Alert 提示条,选中 site sandbox 模式下显示业务日 + 实例 ID
  - today_calls 卡片下方加分组 Tag(实时 X / 沙箱 Y),feature flag 控制
  - import fetchRuntimeContext + useEffect 拉 RuntimeContext
- apps/admin-web/.env.example 新建,加 VITE_AI_RUNTIME_GROUPING=false 默认值说明

UI-5 AITriggerJobs runtime 列:
- 后端 schemas/admin_ai.py TriggerJobItem 加 runtime_mode / sandbox_instance_id 可选字段
- 后端 admin_service.py list_trigger_jobs / get_trigger_job 各加 SELECT 列
- 前端 adminAI.ts TriggerJobItem 类型补 2 字段
- 前端 pages/AITriggerJobs.tsx 列表 columns 加运行模式 + 沙箱实例(同 UI-1 模式),详情 Modal 加 2 项(同 UI-2 模式)

双口径验证(Playwright + DB 直查):
- UI-3 4a live: 选中默认门店,无 Alert,today_card 仅显示总数(flag off)
- UI-3 4b sandbox=4-20: Alert 显示"沙箱 + 业务日 + sbx_…",today_calls=93(sandbox 当日)
- UI-5 4a/4b: SQL INSERT 注入 walkthrough 测试行(id=9 live, id=10 sandbox),列表正确渲染 Tag + 短哈希

trend_7d 双线 / app_distribution 堆叠分布等更深入分组改造延后到 Wave C(§8.3 风险:破坏图表)。

审计:
- docs/audit/changes/2026-05-05__wave1_f1_5b_ui3_aidashboard_sandbox.md
- docs/audit/changes/2026-05-05__wave1_f1_5b_ui5_aitriggerjobs_runtime.md

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

apps/backend/app/schemas/admin_ai.py

@@ -62,6 +62,10 @@ class DashboardResponse(BaseModel):
     today_success_rate: float           # 0.0 ~ 1.0
     today_tokens: int
     today_avg_latency_ms: float
+    # F1-5b UI-3: today_calls 按 runtime_mode 分组
+    # live + sandbox = today_calls(总计),供前端 feature flag 控制是否展示
+    today_live_calls: int = 0
+    today_sandbox_calls: int = 0
     trend_7d: list[DailyTrend]
     app_distribution: list[AppDistItem]
     budget: BudgetInfo
@@ -84,6 +88,9 @@ class TriggerJobItem(BaseModel):
     started_at: str | None
     finished_at: str | None
     created_at: str
+    # F1-5b UI-5: runtime 透出(同 RunLogItem)
+    runtime_mode: str | None = None
+    sandbox_instance_id: str | None = None
 
 
 class TriggerJobListResponse(BaseModel):

apps/backend/app/services/ai/admin_service.py

@@ -126,6 +126,8 @@ class AdminAIService:
         conn = get_connection()
         try:
             with conn.cursor() as cur:
+                # F1-5b UI-3: SELECT 加 live/sandbox 分组 COUNT,
+                # 总数 total_calls 与 today_live + today_sandbox 应一致。
                 cur.execute(
                     f"""
                     SELECT
@@ -133,7 +135,10 @@ class AdminAIService:
                         COUNT(*) FILTER (WHERE status = 'success')        AS success_count,
                         COALESCE(SUM(tokens_used), 0)                     AS total_tokens,
                         COALESCE(AVG(latency_ms) FILTER (WHERE latency_ms IS NOT NULL), 0)
-                                                                          AS avg_latency
+                                                                          AS avg_latency,
+                        COUNT(*) FILTER (WHERE COALESCE(runtime_mode, 'live') = 'live')
+                                                                          AS live_calls,
+                        COUNT(*) FILTER (WHERE runtime_mode = 'sandbox')  AS sandbox_calls
                     FROM biz.ai_run_logs
                     WHERE {time_clause}
                       {site_clause}
@@ -145,13 +150,15 @@ class AdminAIService:
         finally:
             conn.close()
 
-        total, success, tokens, avg_lat = row if row else (0, 0, 0, 0)
+        total, success, tokens, avg_lat, live_cnt, sandbox_cnt = row if row else (0, 0, 0, 0, 0, 0)
         rate = round(success / total, 4) if total > 0 else 0.0
         return {
             "today_calls": total,
             "today_success_rate": rate,
             "today_tokens": int(tokens),
             "today_avg_latency_ms": round(float(avg_lat), 2),
+            "today_live_calls": int(live_cnt),
+            "today_sandbox_calls": int(sandbox_cnt),
         }
 
     async def _get_7d_trend(self, site_id: int | None) -> list[dict]:
@@ -350,10 +357,12 @@ class AdminAIService:
                 total = cur.fetchone()[0]
 
                 # 分页数据
+                # F1-5b UI-5: 列表 SELECT 加 runtime_mode + sandbox_instance_id 透出
                 cur.execute(
                     f"""
                     SELECT id, event_type, member_id, status, app_chain,
-                           is_forced, site_id, started_at, finished_at, created_at
+                           is_forced, site_id, started_at, finished_at, created_at,
+                           runtime_mode, sandbox_instance_id
                     FROM biz.ai_trigger_jobs
                     {where_sql}
                     ORDER BY created_at DESC
@@ -392,11 +401,13 @@ class AdminAIService:
         conn = get_connection()
         try:
             with conn.cursor() as cur:
+                # F1-5b UI-5: 详情 SELECT 加 runtime_mode + sandbox_instance_id 透出
                 cur.execute(
                     """
                     SELECT id, event_type, member_id, status, app_chain,
                            is_forced, site_id, started_at, finished_at,
-                           created_at, payload, error_message, connector_type
+                           created_at, payload, error_message, connector_type,
+                           runtime_mode, sandbox_instance_id
                     FROM biz.ai_trigger_jobs
                     WHERE id = %s
                     """,