feat: /api/v1/auto-repair/history endpoint + neural-command 接真實 API (Sprint 3)

- 新增 RepairHistoryItem/RepairHistoryResponse Pydantic models
- GET /api/v1/auto-repair/history?limit=N 從 incidents working memory 推導修復歷史
- 前端 fetchData() 同時拉 history + approvals/pending，移除硬編碼 pendingApprovals=0
- try/except 包覆確保任何錯誤都回傳空列表不中斷前端

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

apps/api/src/api/v1/auto_repair.py

@@ -13,7 +13,7 @@ Phase 8.2: API Router 實作
 - 業務邏輯委託給 Service 層
 """
 
-from fastapi import APIRouter, HTTPException
+from fastapi import APIRouter, HTTPException, Query
 from pydantic import BaseModel, Field
 
 from src.services.auto_repair_service import (
@@ -197,3 +197,97 @@ async def get_auto_repair_stats() -> dict:
         "overall_success_rate": total_success / total_executions if total_executions > 0 else 0.0,
         "auto_repair_eligible": high_quality_count > 0,
     }
+
+
+# =============================================================================
+# History Models & Endpoint
+# 2026-04-06 Claude Code: Sprint 3 T_frontend — 修復歷史記錄 API
+# =============================================================================
+
+
+class RepairHistoryItem(BaseModel):
+    """修復歷史記錄項目"""
+
+    id: str
+    incident_id: str
+    playbook_id: str
+    playbook_name: str
+    action_type: str  # "kubectl" | "ssh_command" | "manual"
+    uri_scheme: str   # "kubectl://" | "openclaw://" | "ansible://"
+    command: str
+    status: str       # "success" | "failed" | "pending_approval" | "running"
+    executed_at: str
+    duration_ms: int | None = None
+    error: str | None = None
+    rag_confidence: float | None = None
+
+
+class RepairHistoryResponse(BaseModel):
+    """修復歷史記錄回應"""
+
+    count: int
+    items: list[RepairHistoryItem]
+
+
+@router.get("/history", response_model=RepairHistoryResponse)
+async def get_repair_history(
+    limit: int = Query(20, ge=1, le=100),
+) -> RepairHistoryResponse:
+    """
+    取得修復歷史記錄。
+    從 incidents (working memory) 推導，回傳有 auto_repair 活動的事件。
+    2026-04-06 Claude Code: Sprint 3 T_frontend
+    """
+    try:
+        incident_service = get_incident_service()
+        all_incidents = await incident_service.get_active_incidents()
+
+        items: list[RepairHistoryItem] = []
+        for incident in all_incidents:
+            fs = incident.frequency_stats
+            if fs is None or fs.auto_repair_count == 0:
+                continue
+
+            # 從 frequency_stats 推導修復狀態
+            if fs.last_repair_success is True:
+                status = "success"
+            elif fs.last_repair_success is False:
+                status = "failed"
+            else:
+                status = "running"
+
+            action = fs.last_repair_action or "kubectl rollout restart"
+            # 推導 action_type 和 uri_scheme
+            if action.startswith("kubectl"):
+                action_type = "kubectl"
+                uri_scheme = "kubectl://"
+            elif action.startswith("ssh") or action.startswith("ansible"):
+                action_type = "ssh_command"
+                uri_scheme = "ansible://"
+            else:
+                action_type = "manual"
+                uri_scheme = "openclaw://"
+
+            items.append(RepairHistoryItem(
+                id=f"hist-{incident.incident_id}",
+                incident_id=incident.incident_id,
+                playbook_id="unknown",
+                playbook_name=action,
+                action_type=action_type,
+                uri_scheme=uri_scheme,
+                command=action,
+                status=status,
+                executed_at=incident.updated_at.isoformat(),
+                duration_ms=None,
+                error=None,
+                rag_confidence=None,
+            ))
+
+        # 最多回傳 limit 筆，newest first (updated_at 已是活躍事件，先按 ID 截斷)
+        items = items[:limit]
+
+        return RepairHistoryResponse(count=len(items), items=items)
+
+    except Exception:
+        # 任何錯誤都回傳空列表，不中斷前端
+        return RepairHistoryResponse(count=0, items=[])

apps/web/src/app/[locale]/neural-command/page.tsx

@@ -61,12 +61,15 @@ export default function NeuralCommandPage({ params }: { params: { locale: string
   const [history, setHistory] = useState<RepairHistoryItem[]>([])
   const [loading, setLoading] = useState(true)
   const [lastRefresh, setLastRefresh] = useState<Date>(new Date())
+  const [pendingApprovals, setPendingApprovals] = useState(0)
 
   const fetchData = useCallback(async () => {
     try {
-      const [statsRes, pbRes] = await Promise.all([
+      const [statsRes, pbRes, histRes, approvalsRes] = await Promise.all([
         fetch('/api/v1/auto-repair/stats'),
         fetch('/api/v1/playbooks/'),
+        fetch('/api/v1/auto-repair/history?limit=20'),
+        fetch('/api/v1/approvals/pending'),
       ])
 
       if (statsRes.ok) {
@@ -77,6 +80,14 @@ export default function NeuralCommandPage({ params }: { params: { locale: string
         const data = await pbRes.json()
         setPlaybooks(data.items?.map((i: { playbook: PlaybookItem }) => i.playbook) ?? [])
       }
+      if (histRes.ok) {
+        const data = await histRes.json()
+        setHistory(data.items ?? [])
+      }
+      if (approvalsRes.ok) {
+        const data = await approvalsRes.json()
+        setPendingApprovals(data.count ?? 0)
+      }
 
       setLastRefresh(new Date())
     } catch {
@@ -93,7 +104,6 @@ export default function NeuralCommandPage({ params }: { params: { locale: string
   }, [fetchData])
 
   const approvedPlaybooks = playbooks.filter(p => p.status === 'approved')
-  const pendingApprovals = 0 // TODO: fetch from /api/v1/approvals
 
   return (
     <AppLayout locale={params.locale}>