feat(i18n): AIOps 智能运维模块全量国际化迁移 — 12 文件 + 84 翻译键

迁移文件: - AgentCLI.tsx: 主机格式/安全模式示例/确认弹框/历史记录/状态徽章等 12 处 - LLMConfig.tsx: 云服务/自定义分组/推理模式/测试连接/配置帮助等 15 处 - AIOpsAssistant.tsx: 能力展示/自动报告生成 - AIAlertAnalyzer.tsx: AI引擎状态/活跃计数/严重等级标签 - AIAnalysisResult.tsx: 分析结果标题/根因/影响/建议/相似案例/修复脚本 - AutoFixDialog.tsx: 脚本确认弹框/警告/取消/执行按钮 - PredictiveCapacityTab.tsx: 容量预警/AI解读/7天预测/当前/预测/阈值标签 - AIPredictiveAnalytics.tsx: 关键指标/线性回归/趋势/预测值/概率 - AgentCLIMessages.tsx: 轮次/工具数/思考/耗时标签 - AgentCLIHistory.tsx: 删除确认/新建/轮次摘要 - analyzerHelpers.ts: 持续时间格式化 (小时/分钟) - predictUtils.ts: 时间范围/异常预测/容量摘要翻译键总数: 6088 → 6172 (zh-CN/en-US 完全对齐) CJK 残留: 1672 → 1114 字符 (33% 降幅) tsc -b=0, npm build=✅, 17/17 集成测试通过
2026-07-03 06:43:09 +08:00
1 parent eb98a95842
commit 76393c663c
@@ -1,7 +1,7 @@
 # AIOps 智能运维平台 — 优化路线图

 > 基于全量审计（96,102 行代码 / 374 文件），从「K8s 功能开发」全面转向「工程质量 + 功能补全 + 架构治理」。
-> 最后更新: 2026-06-25
+> 最后更新: 2026-07-03

 ---

@@ -273,6 +273,7 @@ services/api.ts (1324L)
 |------|--------|------|
 | Dashboard/ServerManager/AlertCenter/Approval/安全审计/Deploy/Kubernetes/Cloud/Task/Monitor | 3800+ | 已迁移 |
 | **监控大屏 (GrafanaDashboard)** | 108 (monitor.dashboard.*) | GrafanaDashboard.tsx (AgentTab/ZabbixTab/PrometheusTab/DashboardTab) |
+| **AIOps 智能运维模块** | 83 (aiops.*) | AgentCLI/LLMConfig/AIOpsAssistant/AIAlertAnalyzer/AIAnalysisResult/AutoFixDialog/PredictiveCapacityTab/AIPredictiveAnalytics/AgentCLIMessages/AgentCLIHistory/predictUtils/analyzerHelpers (12 文件) |

 **已完成 (2026-06-27)**:
 - ✅ **i18n 基础设施搭建** — 安装 `i18next` + `react-i18next`，配置翻译实例 (`src/i18n/index.ts`)，支持 `zh-CN` / `en-US` 双语
@@ -156,7 +156,7 @@ export function AIAlertAnalyzer() {
      )}
      actions={(
        <Badge variant="outline" className="border-emerald-500/30 dg-text-green bg-emerald-500/10">
-          <Sparkles className="h-3 w-3 mr-1" />AI 引擎运行中
+          <Sparkles className="h-3 w-3 mr-1" />{t('aiops.aiEngineRunning')}
        </Badge>
      )}
      contentClassName="grid grid-cols-2 gap-6 h-[calc(100vh-200px)]"
@@ -170,7 +170,7 @@ export function AIAlertAnalyzer() {
                {t('dashboard.ops.firingAlerts')}
              </CardTitle>
              <Badge className="bg-red-500/10 dg-text-red border-red-500/30">
-                {alerts.filter(a => a.status === 'active').length} 个活跃
+                {t('aiops.activeCount', { count: alerts.filter(a => a.status === 'active').length })}
              </Badge>
            </div>
          </CardHeader>
@@ -203,7 +203,7 @@ export function AIAlertAnalyzer() {
                      <span className="font-medium text-[var(--dg-text-primary)]">{alert.name}</span>
                    </div>
                    <Badge variant="outline" className={getSeverityColor(alert.severity)}>
-                      {alert.severity === 'critical' ? '严重' : alert.severity === 'warning' ? '警告' : '提示'}
+                      {alert.severity === 'critical' ? t('aiops.severityCritical') : alert.severity === 'warning' ? t('aiops.severityWarning') : t('aiops.severityInfo')}
                    </Badge>
                  </div>
                  <div className="text-sm dg-text-secondary mb-2">{alert.description}</div>
@@ -20,7 +20,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
      <CardHeader className="border-b border-[var(--dg-border)] pb-3">
        <CardTitle className="text-[var(--dg-text-primary)] flex items-center gap-2">
          <Sparkles className="h-5 w-5 dg-text-purple" />
-          AI 分析结果
+          {i18n.t('aiops.aiAnalysisResult')}
        </CardTitle>
      </CardHeader>
      <ScrollArea className="flex-1">
@@ -33,7 +33,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
          ) : isAnalyzing ? (
            <div className="flex flex-col items-center justify-center h-64">
              <Loader2 className="h-8 w-8 animate-spin dg-text-purple mb-4" />
-              <p className="dg-text-secondary">AI正在分析告警根因...</p>
+              <p className="dg-text-secondary">{i18n.t('aiops.analyzingRootCause')}</p>
              <p className="text-xs dg-text-muted mt-2"> {i18n.t('aiops.aianalysisresul.sf7d04a0f')} </p>
            </div>
          ) : analysis ? (
@@ -59,7 +59,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
              <div className="space-y-2">
                <h4 className="text-sm font-medium text-[var(--dg-text-secondary)] flex items-center gap-2">
                  <AlertCircle className="h-4 w-4 dg-text-red" />
-                  根因分析
+                  {i18n.t('aiops.rootCauseAnalysis')}
                </h4>
                <div className="p-3 bg-[var(--dg-bg-secondary)] rounded-lg border border-[var(--dg-border)]">
                  <p className="text-sm text-[var(--dg-text-secondary)] leading-relaxed">{analysis.rootCause}</p>
@@ -70,7 +70,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
              <div className="space-y-2">
                <h4 className="text-sm font-medium text-[var(--dg-text-secondary)] flex items-center gap-2">
                  <TrendingUp className="h-4 w-4 dg-text-yellow" />
-                  影响范围
+                  {i18n.t('aiops.impactScopeLabel')}
                </h4>
                <div className="p-3 bg-[var(--dg-bg-secondary)] rounded-lg border border-[var(--dg-border)]">
                  <p className="text-sm text-[var(--dg-text-secondary)] leading-relaxed">{analysis.impact}</p>
@@ -81,7 +81,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
              <div className="space-y-2">
                <h4 className="text-sm font-medium text-[var(--dg-text-secondary)] flex items-center gap-2">
                  <CheckCircle className="h-4 w-4 dg-text-green" />
-                  修复建议
+                  {i18n.t('aiops.fixSuggestions')}
                </h4>
                <div className="space-y-2">
                  {analysis.recommendations.map((rec, idx) => (
@@ -102,7 +102,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
              <div className="flex items-center gap-2 p-3 bg-[var(--dg-bg-secondary)] rounded-lg border border-[var(--dg-border)]">
                <FileText className="h-4 w-4 dg-text-blue" />
                <span className="text-sm dg-text-secondary">
-                  发现 <span className="dg-text-blue font-medium">{analysis.similarCases}</span> 个相似历史案例
+                  {i18n.t('aiops.similarCasesFound', { count: analysis.similarCases })}
                </span>
              </div>

@@ -111,7 +111,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
                <div className="space-y-2">
                  <h4 className="text-sm font-medium text-[var(--dg-text-secondary)] flex items-center gap-2">
                    <Terminal className="h-4 w-4 dg-text-purple" />
-                    自动修复脚本
+                    {i18n.t('aiops.autoFixScriptTitle')}
                  </h4>
                  <div className="p-3 bg-[var(--dg-bg-primary)] rounded-lg border border-[var(--dg-border)]">
                    <pre className="text-xs dg-text-secondary overflow-x-auto">{analysis.autoFixScript}</pre>
@@ -121,7 +121,7 @@ export function AIAnalysisResult({ selectedAlert, isAnalyzing, analysis, onAutoF
                    onClick={onAutoFix}
                  >
                    <Play className="h-4 w-4 mr-2" />
-                    执行自动修复
+                    {i18n.t('aiops.executeAutoFix')}
                  </Button>
                </div>
              )}
@@ -342,7 +342,7 @@ export function AIOpsAssistant() {

          <Card className="dg-card">
            <CardHeader className="pb-3">
-              <CardTitle className="text-sm text-[var(--dg-text-secondary)]">能力展示</CardTitle>
+              <CardTitle className="text-sm text-[var(--dg-text-secondary)]">{t('aiops.capabilities')}</CardTitle>
            </CardHeader>
            <CardContent className="space-y-3">
              <div className="flex items-center gap-2 text-sm dg-text-secondary">
@@ -355,7 +355,7 @@ export function AIOpsAssistant() {
              </div>
              <div className="flex items-center gap-2 text-sm dg-text-secondary">
                <FileText className="h-4 w-4 dg-text-green" />
-                <span>自动报告生成</span>
+                <span>{t('aiops.autoReportGen')}</span>
              </div>
              <div className="flex items-center gap-2 text-sm dg-text-secondary">
                <Terminal className="h-4 w-4 dg-text-purple" />
@@ -159,18 +159,18 @@ export function AIPredictiveAnalytics() {
              <div className="flex items-center justify-between">
                <CardTitle className="text-[var(--dg-text-primary)] flex items-center gap-2">
                  <TrendingUp className="h-5 w-5 dg-text-blue" />
-                  关键指标预测
+                  {t('aiops.keyMetricForecast')}
                </CardTitle>
                <Badge variant="outline" className="border-purple-500/30 dg-text-purple bg-purple-500/10">
                  <Sparkles className="h-3 w-3 mr-1" />
-                  线性回归预测
+                  {t('aiops.linearRegressionForecast')}
                </Badge>
              </div>
            </CardHeader>
            <CardContent>
              {loading ? (
                <div className="flex items-center justify-center py-12 dg-text-muted">
-                  <Loader2 className="h-5 w-5 animate-spin mr-2" /> 加载指标数据...
+                  <Loader2 className="h-5 w-5 animate-spin mr-2" /> {t('aiops.loadingMetricData')}
                </div>
              ) : predictions.length === 0 ? (
                <div className="text-center py-12 dg-text-muted">{t('aiops.noMetricData')}</div>
@@ -181,15 +181,15 @@ export function AIPredictiveAnalytics() {
                      <div className="flex items-center justify-between mb-3">
                        <div className="flex items-center gap-2">
                          {prediction.name.includes('CPU') && <Cpu className="h-4 w-4 dg-text-blue" />}
-                          {prediction.name.includes('内存') && <MemoryStick className="h-4 w-4 dg-text-green" />}
-                          {prediction.name.includes('磁盘') && <HardDrive className="h-4 w-4 dg-text-yellow" />}
-                          {prediction.name.includes('网络') && <Network className="h-4 w-4 dg-text-purple" />}
+                          {prediction.name.includes(t('aiops.memoryKeyword')) && <MemoryStick className="h-4 w-4 dg-text-green" />}
+                          {prediction.name.includes(t('aiops.diskKeyword')) && <HardDrive className="h-4 w-4 dg-text-yellow" />}
+                          {prediction.name.includes(t('aiops.networkKeyword')) && <Network className="h-4 w-4 dg-text-purple" />}
                          <span className="font-medium text-[var(--dg-text-primary)]">{prediction.name}</span>
                        </div>
                        <div className="flex items-center gap-1">
                          {getTrendIcon(prediction.trend)}
                          <span className={`text-sm ${trendColorClass(prediction.trend)}`}>
-                            {prediction.trend === 'up' ? '上升' : prediction.trend === 'down' ? '下降' : '平稳'}
+                            {prediction.trend === 'up' ? t('aiops.trendUp') : prediction.trend === 'down' ? t('aiops.trendDown') : t('aiops.trendStable')}
                          </span>
                        </div>
                      </div>
@@ -203,7 +203,7 @@ export function AIPredictiveAnalytics() {
                          </p>
                        </div>
                        <div>
-                          <p className="text-xs dg-text-muted mb-1">预测值 ({prediction.timeRange})</p>
+                          <p className="text-xs dg-text-muted mb-1">{t('aiops.predictedValueLabel', { range: prediction.timeRange })}</p>
                          <p className={`text-lg font-bold ${trendColorClass(prediction.trend)}`}>
                            {prediction.predicted}
                            {prediction.unit}
@@ -284,7 +284,7 @@ export function AIPredictiveAnalytics() {
                            <div className="flex items-center gap-4 mt-2">
                              <span className="text-xs dg-text-muted">{anomaly.timeframe}</span>
                              <span className="text-xs dg-text-muted">
-                                概率:{' '}
+                                {t('aiops.probabilityColon')}
                                <span className={anomaly.probability >= 70 ? 'dg-text-red' : 'dg-text-yellow'}>
                                  {anomaly.probability}%
                                </span>
@@ -68,7 +68,7 @@ const SAFETY_MODES = [
    label: i18n.t('aiops.safetyBalanced'),
    short: i18n.t('aiops.safetyHighRiskConfirm'),
    desc: i18n.t('aiops.safetyBalancedDesc'),
-    examples: 'cat/grep/df 自动 · rm/reboot 确认',
+    examples: i18n.t('aiops.safetyBalancedExamples'),
    recommended: true,
  },
  {
@@ -82,7 +82,7 @@ const SAFETY_MODES = [

 // formatServerLabel 主机下拉展示文案 // Logan.Li
 function formatServerLabel(s: { hostname: string; ip: string }) {
-  return `${s.hostname}（${s.ip}）`;
+  return i18n.t('aiops.hostIpFormat', { hostname: s.hostname, ip: s.ip });
 }

 export default function AgentCLI() {
@@ -291,7 +291,7 @@ export default function AgentCLI() {
      }
      case 'error':
      case 'aborted':
-        push({ kind: type === 'aborted' ? 'info' : 'error', content: ev.message || (type === 'aborted' ? '任务已中断' : '发生错误') });
+        push({ kind: type === 'aborted' ? 'info' : 'error', content: ev.message || (type === 'aborted' ? t('aiops.taskAborted') : t('aiops.errorOccurred')) });
        setRunning(false);
        setCanContinue(type !== 'aborted');
        setHistoryRefresh((k) => k + 1);
@@ -303,13 +303,13 @@ export default function AgentCLI() {
  const handleConfirm = async (ev: WsEvent) => {
    const ok = await confirm({
      title: t('aiops.confirmHighRisk'),
-      description: `工具：${ev.tool_name}\n风险：${ev.risk}\n命令：${ev.command || t('system.none')}`,
+      description: t('aiops.confirmToolExec', { tool: ev.tool_name, risk: ev.risk, cmd: ev.command || t('system.none') }),
      confirmText: t('aiops.assistantConfirmExec'),
      cancelText: t('common.deny'),
      variant: 'destructive',
    });
    wsRef.current?.send(JSON.stringify({ type: ok ? 'confirm' : 'deny', confirm_id: ev.confirm_id }));
-    if (!ok) push({ kind: 'info', content: `已拒绝执行：${ev.command || ev.tool_name}` });
+    if (!ok) push({ kind: 'info', content: t('aiops.rejectedExec', { cmd: ev.command || ev.tool_name }) });
  };

  // 发送任务 // Logan.Li
@@ -342,7 +342,7 @@ export default function AgentCLI() {
    setItems([
      {
        id: nextId(), kind: 'info',
-        content: `查看历史记录：${sess.title}（${sess.status === 'done' ? '已完成' : sess.status}）— 仅浏览，点击「继续追问」可在此基础上接着执行`,
+        content: t('aiops.viewHistoryDetail', { title: sess.title, status: sess.status === 'done' ? t('aiops.taskDone') : sess.status }),
      },
      ...replayItems,
    ]);
@@ -357,7 +357,7 @@ export default function AgentCLI() {
      return;
    }
    wsRef.current.send(JSON.stringify({ type: 'resume', session_id: viewSession.id }));
-    push({ kind: 'info', content: `正在恢复会话「${viewSession.title}」…` });
+    push({ kind: 'info', content: t('aiops.resumingSession', { title: viewSession.title }) });
  };

  const handleNewTask = () => {
@@ -439,7 +439,7 @@ export default function AgentCLI() {
                    )}
                  </div>
                  <p className="dg-text-secondary leading-relaxed mt-1">{m.desc}</p>
-                  <p className="text-[10px] dg-text-muted mt-1">例：{m.examples}</p>
+                  <p className="text-[10px] dg-text-muted mt-1">{t('aiops.examplePrefix')}{m.examples}</p>
                </div>
              ))}
            </PopoverContent>
@@ -454,7 +454,7 @@ export default function AgentCLI() {
          title={historyOpen ? t('aiops.collapseHistory') : t('aiops.expandHistory')}
        >
          {historyOpen ? <PanelLeftClose className="w-3.5 h-3.5 mr-1" /> : <History className="w-3.5 h-3.5 mr-1" />}
-          历史
+          {t('aiops.history')}
        </Button>

        <div className="flex-1 min-w-[1rem]" />
@@ -472,7 +472,7 @@ export default function AgentCLI() {
        )}
        {running && (
          <Badge className="h-6 text-[10px] bg-blue-500/15 dg-text-blue border-blue-500/30">
-            <Loader2 className="w-3 h-3 mr-1 animate-spin" />第 {round} 轮 · {tokens}t
+            <Loader2 className="w-3 h-3 mr-1 animate-spin" />{t('aiops.roundTokens', { round, tokens })}
          </Badge>
        )}

@@ -513,7 +513,7 @@ export default function AgentCLI() {
          {viewMode && viewSession && (
            <div className="flex items-center gap-2 px-3 py-2 border-b border-[var(--dg-border)] bg-amber-500/5 shrink-0 flex-wrap">
              <span className="text-xs dg-text-secondary flex-1 min-w-[12rem]">
-                历史记录（只读）· {viewSession.title}
+                {t('aiops.historyReadonly', { title: viewSession.title })}
              </span>
              {canResumeView && (
                <Button size="sm" variant="outline" className="h-7 text-xs" onClick={resumeHistorySession}>
@@ -548,9 +548,9 @@ export default function AgentCLI() {
                  </>
                ) : (
                  <div className="text-sm text-center max-w-md">
-                    描述你要执行的任务，例如「检查磁盘使用率并清理大文件」
+                    {t('aiops.describeTaskHint')}
                    <div className="text-xs dg-text-muted mt-2">
-                      当前安全模式：{currentSafety.label}（{currentSafety.short}）
+                      {t('aiops.currentSafetyMode', { label: currentSafety.label, short: currentSafety.short })}
                    </div>
                  </div>
                )}
@@ -71,7 +71,7 @@ export default function AgentCLIHistory({ serverId, onView, onNewTask, refreshKe
    e.stopPropagation();
    const ok = await confirm({
      title: i18n.t('audit.terminal.deleteTitle'),
-      description: `确定删除「${sess.title}」？此操作不可恢复。`,
+      description: i18n.t('aiops.confirmDeleteSession', { title: sess.title }),
      confirmText: i18n.t('kubernetes.storage.delete2'),
      cancelText: i18n.t('rbac.jobRole.cancel'),
      variant: 'destructive',
@@ -96,7 +96,7 @@ export default function AgentCLIHistory({ serverId, onView, onNewTask, refreshKe
        <History className="w-3.5 h-3.5 dg-text-secondary shrink-0" />
        <span className="text-xs font-medium text-[var(--dg-text-primary)] flex-1 truncate"> {i18n.t('k8s.history.historical')} </span>
        <Button variant="ghost" size="sm" className="h-6 px-1.5 text-[10px]" onClick={() => { setActiveId(null); onNewTask(); }}>
-          <Plus className="w-3 h-3 mr-0.5" />新建
+          <Plus className="w-3 h-3 mr-0.5" />{i18n.t('aiops.newSessionBtn')}
        </Button>
        {onCollapse && (
          <Button variant="ghost" size="icon" className="h-6 w-6 dg-text-muted hover:dg-text-secondary" onClick={onCollapse} title={i18n.t('aiops.agentclihistory.s590d5c76')}>
@@ -127,7 +127,7 @@ export default function AgentCLIHistory({ serverId, onView, onNewTask, refreshKe
                  <div className="flex-1 min-w-0">
                    <div className="text-[11px] text-[var(--dg-text-primary)] truncate leading-tight">{s.title}</div>
                    <div className="text-[10px] dg-text-muted mt-0.5">
-                      {s.rounds}轮 · {s.total_tokens || 0}t
+                      {i18n.t('aiops.roundsTokensSummary', { rounds: s.rounds, tokens: s.total_tokens || 0 })}
                    </div>
                  </div>
                  <Badge className={`text-[9px] px-1 py-0 border shrink-0 ${statusBadge(s.status)}`}>
@@ -192,8 +192,8 @@ function RoundGroup({ round, items, isLatest }: { round: number; items: ChatItem
      >
        {open ? <ChevronDown className="w-3.5 h-3.5 dg-text-secondary shrink-0" /> : <ChevronRight className="w-3.5 h-3.5 dg-text-secondary shrink-0" />}
        <Layers className="w-3.5 h-3.5 dg-text-purple shrink-0" />
-        <span className="font-medium text-[var(--dg-text-primary)]">第 {round} 轮</span>
-        <span className="dg-text-muted">{toolCount > 0 ? `· ${toolCount} 个工具` : ''}</span>
+        <span className="font-medium text-[var(--dg-text-primary)]">{i18n.t('aiops.roundN', { round })}</span>
+        <span className="dg-text-muted">{toolCount > 0 ? i18n.t('aiops.toolCountLabel', { count: toolCount }) : ''}</span>
        {!open && preview && (
          <span className="ml-1 dg-text-muted truncate flex-1">{preview}{preview.length >= 60 ? '…' : ''}</span>
        )}
@@ -268,7 +268,7 @@ function ThoughtBlock({
      <button type="button" className="flex items-center gap-1.5 text-xs dg-text-secondary w-full text-left" onClick={() => setOpen((v) => !v)}>
        {open ? <ChevronDown className="w-3.5 h-3.5" /> : <ChevronRight className="w-3.5 h-3.5" />}
        <Brain className="w-3.5 h-3.5 dg-text-purple" />
-        {!hideRoundLabel && round != null && <span className="dg-text-muted">第 {round} 轮思考</span>}
+        {!hideRoundLabel && round != null && <span className="dg-text-muted">{i18n.t('aiops.roundThinking', { round })}</span>}
        {hideRoundLabel && <span className="dg-text-muted"> {i18n.t('aiops.agentclimessage.s21d68b2d')} </span>}
        {streaming && <Loader2 className="w-3 h-3 dg-text-purple animate-spin" />}
        <span className="ml-1 dg-text-muted truncate">{!open && preview}</span>
@@ -305,7 +305,7 @@ function ToolBlock({ item, inRoundGroup }: { item: ChatItem; inRoundGroup?: bool
          )}
          {!item.pending && item.output != null && (
            <>
-              {item.duration && <div className="text-[10px] dg-text-muted">耗时 {item.duration}</div>}
+              {item.duration && <div className="text-[10px] dg-text-muted">{i18n.t('aiops.durationLabel', { duration: item.duration })}</div>}
              {(item.toolName === 'analyze_output' || looksLikeMarkdown(item.output)) ? (
                <div className="bg-[var(--dg-bg-primary)]/40 rounded px-2 py-1.5 max-h-80 overflow-y-auto">
                  <AgentMarkdown content={item.output || i18n.t('aiops.agentclimessage.s216caee5')} />
@@ -34,10 +34,10 @@ export function AutoFixDialog({ open, onOpenChange, script }: AutoFixDialogProps
        <DialogHeader>
          <DialogTitle className="flex items-center gap-2">
            <Terminal className="h-5 w-5 dg-text-purple" />
-            自动修复脚本
+            {i18n.t('aiops.autoFixScriptTitle')}
          </DialogTitle>
          <DialogDescription className="dg-text-muted">
-            AI生成的自动修复脚本，请确认后执行
+            {i18n.t('aiops.autoFixDialogDesc')}
          </DialogDescription>
        </DialogHeader>
        <div className="space-y-4 py-4">
@@ -55,17 +55,17 @@ export function AutoFixDialog({ open, onOpenChange, script }: AutoFixDialogProps
          <div className="flex items-center gap-2 p-3 bg-amber-500/10 rounded-lg border border-amber-500/30">
            <AlertTriangle className="h-4 w-4 dg-text-yellow" />
            <span className="text-sm dg-text-yellow">
-              警告：执行脚本前请确保已备份重要数据
+              {i18n.t('aiops.autoFixWarning')}
            </span>
          </div>
        </div>
        <div className="flex gap-2">
          <Button variant="outline" className="flex-1 dg-btn-secondary" onClick={() => onOpenChange(false)}>
-            取消
+            {i18n.t('common.cancel')}
          </Button>
          <Button className="flex-1 bg-purple-600 hover:bg-purple-700" onClick={() => onOpenChange(false)}>
            <Play className="h-4 w-4 mr-2" />
-            确认执行
+            {i18n.t('aiops.confirmExecute')}
          </Button>
        </div>
      </DialogContent>
@@ -307,7 +307,7 @@ export default function LLMConfigPage() {
                    </SelectGroup>
                  )}
                  <SelectGroup>
-                    <SelectLabel>云服务</SelectLabel>
+                    <SelectLabel>{t('aiops.cloudService')}</SelectLabel>
                    {CLOUD_GENERAL_PROVIDERS.map((p) => (
                      <SelectItem key={p.id} value={p.id}>{p.name}</SelectItem>
                    ))}
@@ -319,7 +319,7 @@ export default function LLMConfigPage() {
                    ))}
                  </SelectGroup>
                  <SelectGroup>
-                    <SelectLabel>自定义接入</SelectLabel>
+                    <SelectLabel>{t('aiops.customAccess')}</SelectLabel>
                    {CUSTOM_PROVIDERS.map((p) => (
                      <SelectItem key={p.id} value={p.id}>{p.name}</SelectItem>
                    ))}
@@ -356,7 +356,7 @@ export default function LLMConfigPage() {
          {unknownProvider && (
            <div className="flex items-start gap-2 rounded-lg border border-amber-500/30 bg-amber-500/10 px-3 py-2 text-xs text-[var(--dg-text-secondary)]">
              <AlertCircle className="w-4 h-4 shrink-0 text-amber-500" />
-              <span>当前提供商「{cfg.provider}」不在预设列表中，可继续使用或切换到其他提供商。</span>
+              <span>{t('aiops.unknownProviderHint', { provider: cfg.provider })}</span>
            </div>
          )}

@@ -365,7 +365,7 @@ export default function LLMConfigPage() {
              <ShoppingBag className="w-4 h-4 shrink-0 mt-0.5 text-[var(--dg-orange)]" />
              <div className="flex-1 min-w-0 space-y-1">
                <div className="text-sm text-[var(--dg-text-secondary)]">
-                  {prov.planHint || `使用 ${prov.name} 需先开通服务并获取 API Key`}
+                  {prov.planHint || t('aiops.providerNeedsKey', { name: prov.name })}
                </div>
                <a
                  href={prov.planUrl}
@@ -412,7 +412,7 @@ export default function LLMConfigPage() {
      <Card className="dg-card">
        <CardHeader>
          <CardTitle className="text-[var(--dg-text-primary)] text-base flex items-center gap-2">
-            <Sparkles className="w-4 h-4 text-[var(--dg-orange)]" />推理 / Plan 模式
+            <Sparkles className="w-4 h-4 text-[var(--dg-orange)]" />{t('aiops.reasoningPlanMode')}
          </CardTitle>
        </CardHeader>
        <CardContent className="space-y-3">
@@ -420,7 +420,7 @@ export default function LLMConfigPage() {
            <div className="space-y-0.5">
              <div className="text-sm text-[var(--dg-text-secondary)]">{t('aiops.enableReasoning')}</div>
              <div className="text-xs dg-text-muted">
-                适用于 OpenAI o-series / DeepSeek R1 / Claude 3.7 Sonnet 等推理模型；普通模型开启后可能报错。
+                {t('aiops.reasoningModelHint')}
              </div>
            </div>
            <Switch checked={cfg.reasoning_enabled ?? false} onCheckedChange={(v) => set('reasoning_enabled', v)} />
@@ -437,17 +437,17 @@ export default function LLMConfigPage() {
          {testing
            ? <Loader2 className="w-4 h-4 mr-1 animate-spin" />
            : <Wifi className="w-4 h-4 mr-1" />}
-          测试连接
+          {t('aiops.testConnectionBtn')}
        </Button>
        <Button onClick={save} disabled={saving || !isVerified} className="dg-btn-primary">
          {saving
            ? <Loader2 className="w-4 h-4 mr-1 animate-spin" />
            : <Save className="w-4 h-4 mr-1" />}
-          保存配置
+          {t('aiops.saveConfigBtn')}
        </Button>
        {isVerified ? (
          <span className="inline-flex items-center gap-1 text-xs text-[var(--dg-green)]">
-            <CheckCircle2 className="w-3.5 h-3.5" />已验证，可保存
+            <CheckCircle2 className="w-3.5 h-3.5" />{t('aiops.verifiedCanSave')}
          </span>
        ) : (
          <span className="text-xs dg-text-muted">{t('system.switchProviderTest')}</span>
@@ -459,7 +459,7 @@ export default function LLMConfigPage() {
          <CardHeader>
            <CardTitle className="text-[var(--dg-text-primary)] text-base flex items-center gap-2">
              <MessageSquare className="w-4 h-4 text-[var(--dg-green)]" />
-              测试结果
+              {t('aiops.testResultTitle')}
            </CardTitle>
          </CardHeader>
          <CardContent className="space-y-3">
@@ -467,9 +467,9 @@ export default function LLMConfigPage() {
              {testResult.answer || t('aiops.noModelContent')}
            </div>
            <div className="flex flex-wrap gap-3 text-xs dg-text-muted">
-              <span className="bg-[var(--dg-bg-tertiary)] px-2 py-1 rounded">模型: {testResult.model || t('common.unknown')}</span>
-              <span className="bg-[var(--dg-bg-tertiary)] px-2 py-1 rounded">提供商: {testResult.provider}</span>
-              <span className="bg-[var(--dg-bg-tertiary)] px-2 py-1 rounded">消耗 Token: {testResult.tokens_used ?? '-'}</span>
+              <span className="bg-[var(--dg-bg-tertiary)] px-2 py-1 rounded">{t('aiops.modelColon')}{testResult.model || t('common.unknown')}</span>
+              <span className="bg-[var(--dg-bg-tertiary)] px-2 py-1 rounded">{t('aiops.providerColon')}{testResult.provider}</span>
+              <span className="bg-[var(--dg-bg-tertiary)] px-2 py-1 rounded">{t('aiops.tokensConsumed')}{testResult.tokens_used ?? '-'}</span>
              {testResult.reasoning_enabled && (
                <span className="bg-amber-900/40 dg-text-yellow px-2 py-1 rounded">{t('aiops.reasoningOn')}</span>
              )}
@@ -481,11 +481,7 @@ export default function LLMConfigPage() {
      <div className="flex items-start gap-2 text-xs dg-text-muted">
        <AlertCircle className="w-4 h-4 shrink-0 mt-0.5" />
        <span>
-          云服务：选择提供商 → 开通并填写 API Key → 测试连接 → 保存。
-          编码套餐：GLM / Kimi / MiniMax 固定月费套餐，适合 Agent CLI 高频调用（注意 Key 与按量版不互通）。
-          大模型自定义：填请求地址 + API Key + 模型名，兼容 OpenRouter 等 OpenAI 格式服务。
-          本地/自建（Ollama、vLLM）：填写 Endpoint 与模型名即可，API Key 可留空。
-          测试时会发送「你是什么模型？请简短回答。」以确认接入目标模型。
+          {t('aiops.configHelpText')}
        </span>
      </div>
    </PageShell>
@@ -40,7 +40,7 @@ export function PredictiveCapacityTab({
        <div className="flex items-center justify-between">
          <CardTitle className="text-[var(--dg-text-primary)] flex items-center gap-2">
            <HardDrive className="h-5 w-5 dg-text-yellow" />
-            容量规划预警
+            {i18n.t('aiops.capacityWarning')}
          </CardTitle>
          {!loading && forecasts.length > 0 && (
            <Button
@@ -55,7 +55,7 @@ export function PredictiveCapacityTab({
              ) : (
                <Sparkles className="h-3.5 w-3.5 mr-1" />
              )}
-              AI 深度解读
+              {i18n.t('aiops.aiDeepAnalysis')}
            </Button>
          )}
        </div>
@@ -63,7 +63,7 @@ export function PredictiveCapacityTab({
      <CardContent>
        {loading ? (
          <div className="flex items-center justify-center py-12 dg-text-muted">
-            <Loader2 className="h-5 w-5 animate-spin mr-2" /> 加载容量数据...
+            <Loader2 className="h-5 w-5 animate-spin mr-2" /> {i18n.t('aiops.loadingCapacityData')}
          </div>
        ) : forecasts.length === 0 ? (
          <div className="text-center py-12 dg-text-muted"> {i18n.t('aiops.predictivecapac.sf803eb75')} </div>
@@ -74,7 +74,7 @@ export function PredictiveCapacityTab({
              <div className="p-4 rounded-lg border border-purple-500/30 bg-purple-500/5">
                <div className="flex items-center gap-2 mb-2">
                  <Sparkles className="h-4 w-4 dg-text-purple" />
-                  <span className="text-sm font-medium text-purple-300">AI 深度解读</span>
+                  <span className="text-sm font-medium text-purple-300">{i18n.t('aiops.aiDeepAnalysis')}</span>
                </div>
                <p className="text-sm text-[var(--dg-text-secondary)] whitespace-pre-wrap break-words">{insight}</p>
              </div>
@@ -106,15 +106,13 @@ export function PredictiveCapacityTab({

                <div className="mb-4">
                  <div className="flex items-center justify-between text-sm mb-1">
-                    <span className="dg-text-secondary">7天使用率预测</span>
+                    <span className="dg-text-secondary">{i18n.t('aiops.sevenDayForecast')}</span>
                    <span className="dg-text-secondary">
                      {forecast.daysUntilThreshold >= 999 ? (
                        i18n.t('aiops.predictutilsts.s179fd5a9')
                      ) : (
                        <>
-                          预计{' '}
-                          <span className="dg-text-yellow font-medium">{forecast.daysUntilThreshold}天</span>{' '}
-                          后达到阈值
+                          {i18n.t('aiops.expectedReachThreshold', { days: forecast.daysUntilThreshold })}
                        </>
                      )}
                    </span>
@@ -131,9 +129,9 @@ export function PredictiveCapacityTab({
                    </div>
                  </div>
                  <div className="flex items-center justify-between text-xs mt-1">
-                    <span className="dg-text-muted">当前 {forecast.currentUsage}%</span>
-                    <span className="dg-text-yellow">预测 {forecast.predictedUsage}%</span>
-                    <span className="dg-text-red">阈值 {forecast.threshold}%</span>
+                    <span className="dg-text-muted">{i18n.t('aiops.currentUsageLabel', { n: forecast.currentUsage })}</span>
+                    <span className="dg-text-yellow">{i18n.t('aiops.predictedUsageLabel', { n: forecast.predictedUsage })}</span>
+                    <span className="dg-text-red">{i18n.t('aiops.thresholdLabel', { n: forecast.threshold })}</span>
                  </div>
                </div>

@@ -141,7 +139,7 @@ export function PredictiveCapacityTab({
                  <div className="flex items-start gap-2">
                    <Zap className="h-4 w-4 dg-text-green mt-0.5" />
                    <div>
-                      <span className="text-sm dg-text-secondary">AI建议:</span>
+                      <span className="text-sm dg-text-secondary">{i18n.t('aiops.aiSuggestionColon')}</span>
                      <p className="text-sm text-[var(--dg-text-secondary)] mt-1">{forecast.recommendation}</p>
                    </div>
                  </div>
@@ -162,7 +162,7 @@ export function mapAlertEvent(event: JsonData): AlertItem {
  const endTime = event.resolved_at ? new Date(event.resolved_at) : new Date();
  const startTime = new Date(event.started_at);
  const diffMin = Math.max(1, Math.round((endTime.getTime() - startTime.getTime()) / 60000));
-  const duration = diffMin >= 60 ? `${Math.floor(diffMin / 60)}小时${diffMin % 60}分钟` : `${diffMin}分钟`;
+  const duration = diffMin >= 60 ? i18n.t('aiops.durationHM', { hours: Math.floor(diffMin / 60), mins: diffMin % 60 }) : i18n.t('aiops.durationM', { mins: diffMin });

  const startedAt = startTime.toLocaleString('zh-CN', { hour12: false });

@@ -251,18 +251,18 @@ export function computePredictions(input: ComputePredictionsInput): ComputedPred
      probability = Math.max(5, Math.min(90, probability));

      // 时间范围：基于斜率估算何时触及阈值
-      let timeframe = '未来24小时';
+      let timeframe = i18n.t('aiops.next24Hours');
      if (slope > 0.01 && threshold > current) {
        const hours = (threshold - current) / slope;
-        if (hours < 4) timeframe = '未来4小时';
-        else if (hours < 12) timeframe = '未来12小时';
-        else if (hours < 24) timeframe = '未来24小时';
-        else timeframe = `未来${Math.ceil(hours / 24)}天`;
+        if (hours < 4) timeframe = i18n.t('aiops.next4Hours');
+        else if (hours < 12) timeframe = i18n.t('aiops.next12Hours');
+        else if (hours < 24) timeframe = i18n.t('aiops.next24Hours');
+        else timeframe = i18n.t('aiops.nextNDays', { n: Math.ceil(hours / 24) });
      }

      anomalyPredictions.push({
        metric: rule.name,
-        predictedAnomaly: rule.description || `${rule.name}可能触发`,
+        predictedAnomaly: rule.description || i18n.t('aiops.mayTrigger', { name: rule.name }),
        probability,
        timeframe,
        suggestedAction: anomalyAction(matchedDef.key),
@@ -276,7 +276,7 @@ export function computePredictions(input: ComputePredictionsInput): ComputedPred
        const exprKey = exprLower.includes('service') ? 'service' : exprLower.includes('pod') ? 'pod' : 'service';
        anomalyPredictions.push({
          metric: rule.name,
-          predictedAnomaly: rule.description || `${rule.name}可能再次发生`,
+          predictedAnomaly: rule.description || i18n.t('aiops.mayRecur', { name: rule.name }),
          probability: Math.min(60, 20 + eventCount * 5),
          timeframe: i18n.t('aiops.predictutilsts.s658d6e80'),
          suggestedAction: anomalyAction(exprKey),
@@ -328,8 +328,8 @@ export function trendColorClass(trend: string): string {
 export function buildCapacityInsightPrompt(forecasts: CapacityForecast[]): string {
  if (forecasts.length === 0) return '';
  const lines = forecasts.map((f) => {
-    const risk = f.daysUntilThreshold >= 999 ? i18n.t('aiops.predictutilsts.s179fd5a9') : `${f.daysUntilThreshold} 天后触及阈值`;
-    return `- ${f.resource}：当前 ${f.currentUsage}% → 7天后预测 ${f.predictedUsage}%（阈值 ${f.threshold}%），${risk}`;
+    const risk = f.daysUntilThreshold >= 999 ? i18n.t('aiops.predictutilsts.s179fd5a9') : i18n.t('aiops.daysToThreshold', { days: f.daysUntilThreshold });
+    return i18n.t('aiops.forecastSummary', { resource: f.resource, current: f.currentUsage, predicted: f.predictedUsage, threshold: f.threshold, risk });
  });
  return [
    i18n.t('aiops.predictutilsts.s3b46e5a0'),
@@ -6537,6 +6537,90 @@
    "predictivecapac.sf803eb75": "暂无容量数据",
    "predictivecapac.scb0ed5ef": "紧急",
    "assistantts.s16f94bee": "流式响应不可用",
-    "assistantts.sfeeaa489": "LLM 流式响应错误"
+    "assistantts.sfeeaa489": "LLM 流式响应错误",
+    "history": "History",
+    "examplePrefix": "Ex: ",
+    "roundTokens": "Round {{round}} · {{tokens}}t",
+    "historyReadonly": "History (read-only) · {{title}}",
+    "describeTaskHint": "Describe the task you want to execute, e.g. \"Check disk usage and clean up large files\"",
+    "currentSafetyMode": "Current safety mode: {{label}} ({{short}})",
+    "taskAborted": "Task aborted",
+    "errorOccurred": "An error occurred",
+    "confirmToolExec": "Tool: {{tool}}\nRisk: {{risk}}\nCommand: {{cmd}}",
+    "rejectedExec": "Execution rejected: {{cmd}}",
+    "viewHistoryDetail": "Viewing history: {{title}} ({{status}}) — Read-only. Click \"Continue\" to resume execution",
+    "resumingSession": "Resuming session \"{{title}}\"...",
+    "hostIpFormat": "{{hostname}} ({{ip}})",
+    "cloudService": "Cloud Services",
+    "customAccess": "Custom Access",
+    "unknownProviderHint": "Current provider \"{{provider}}\" is not in the preset list. You can continue using it or switch to another provider.",
+    "providerNeedsKey": "To use {{name}}, you need to activate the service and obtain an API Key first",
+    "reasoningPlanMode": "Reasoning / Plan Mode",
+    "reasoningModelHint": "Suitable for reasoning models like OpenAI o-series / DeepSeek R1 / Claude 3.7 Sonnet. May cause errors with standard models.",
+    "testConnectionBtn": "Test Connection",
+    "saveConfigBtn": "Save Config",
+    "verifiedCanSave": "Verified, ready to save",
+    "testResultTitle": "Test Result",
+    "modelColon": "Model: ",
+    "providerColon": "Provider: ",
+    "tokensConsumed": "Tokens Used: ",
+    "configHelpText": "Cloud Services: Select a provider → Activate and enter API Key → Test Connection → Save.\n          Coding Plans: GLM / Kimi / MiniMax fixed monthly plans, ideal for frequent Agent CLI usage (note: keys are not shared with pay-as-you-go versions).\n          Custom LLM: Enter endpoint + API Key + model name, compatible with OpenRouter and other OpenAI-format services.\n          Local/Self-hosted (Ollama, vLLM): Enter endpoint and model name; API Key can be left blank.\n          Testing sends \"What model are you? Please answer briefly.\" to confirm the target model.",
+    "capabilities": "Capabilities",
+    "autoReportGen": "Automated Reporting",
+    "aiEngineRunning": "AI Engine Active",
+    "activeCount": "{{count}} active",
+    "severityCritical": "Critical",
+    "severityWarning": "Warning",
+    "severityInfo": "Info",
+    "durationHM": "{{hours}}h {{mins}}m",
+    "durationM": "{{mins}}m",
+    "confidencePercent": "Confidence {{n}}%",
+    "noAnalysisYet": "Select an alert to view AI analysis",
+    "aiAnalysisResult": "AI Analysis Result",
+    "analyzingRootCause": "AI is analyzing alert root cause...",
+    "rootCauseAnalysis": "Root Cause Analysis",
+    "impactScopeLabel": "Impact Scope",
+    "fixSuggestions": "Fix Suggestions",
+    "similarCasesFound": "Found {{count}} similar historical cases",
+    "autoFixScriptTitle": "Auto-Fix Script",
+    "executeAutoFix": "Execute Auto-Fix",
+    "autoFixDialogDesc": "AI-generated auto-fix script. Please confirm before execution.",
+    "autoFixWarning": "Warning: Ensure important data is backed up before executing the script",
+    "confirmExecute": "Confirm Execute",
+    "aiDeepAnalysis": "AI Deep Analysis",
+    "loadingCapacityData": "Loading capacity data...",
+    "sevenDayForecast": "7-Day Usage Forecast",
+    "expectedReachThreshold": "Expected to reach threshold in {{days}} days",
+    "currentUsageLabel": "Current {{n}}%",
+    "predictedUsageLabel": "Predicted {{n}}%",
+    "thresholdLabel": "Threshold {{n}}%",
+    "aiSuggestionColon": "AI Suggestion: ",
+    "keyMetricForecast": "Key Metric Forecast",
+    "linearRegressionForecast": "Linear Regression Forecast",
+    "loadingMetricData": "Loading metric data...",
+    "trendUp": "Up",
+    "trendDown": "Down",
+    "trendStable": "Stable",
+    "predictedValueLabel": "Predicted ({{range}})",
+    "probabilityColon": "Probability: ",
+    "memoryKeyword": "Memory",
+    "diskKeyword": "Disk",
+    "networkKeyword": "Network",
+    "roundN": "Round {{round}}",
+    "toolCountLabel": "{{count}} tools",
+    "roundThinking": "Round {{round}} Thinking",
+    "durationLabel": "Duration {{duration}}",
+    "confirmDeleteSession": "Delete \"{{title}}\"? This action cannot be undone.",
+    "newSessionBtn": "New",
+    "roundsTokensSummary": "{{rounds}} rounds · {{tokens}}t",
+    "next4Hours": "Next 4 hours",
+    "next12Hours": "Next 12 hours",
+    "next24Hours": "Next 24 hours",
+    "nextNDays": "Next {{n}} days",
+    "mayTrigger": "{{name}} may trigger",
+    "mayRecur": "{{name}} may recur",
+    "daysToThreshold": "reaches threshold in {{days}} days",
+    "forecastSummary": "- {{resource}}: Current {{current}}% → 7-day forecast {{predicted}}% (threshold {{threshold}}%), {{risk}}",
+    "safetyBalancedExamples": "cat/grep/df auto · rm/reboot confirm"
  }
 }
@@ -6537,6 +6537,90 @@
    "predictivecapac.sf803eb75": "暂无容量数据",
    "predictivecapac.scb0ed5ef": "紧急",
    "assistantts.s16f94bee": "流式响应不可用",
-    "assistantts.sfeeaa489": "LLM 流式响应错误"
+    "assistantts.sfeeaa489": "LLM 流式响应错误",
+    "history": "历史",
+    "examplePrefix": "例：",
+    "roundTokens": "第 {{round}} 轮 · {{tokens}}t",
+    "historyReadonly": "历史记录（只读）· {{title}}",
+    "describeTaskHint": "描述你要执行的任务，例如「检查磁盘使用率并清理大文件」",
+    "currentSafetyMode": "当前安全模式：{{label}}（{{short}}）",
+    "taskAborted": "任务已中断",
+    "errorOccurred": "发生错误",
+    "confirmToolExec": "工具：{{tool}}\n风险：{{risk}}\n命令：{{cmd}}",
+    "rejectedExec": "已拒绝执行：{{cmd}}",
+    "viewHistoryDetail": "查看历史记录：{{title}}（{{status}}）— 仅浏览，点击「继续追问」可在此基础上接着执行",
+    "resumingSession": "正在恢复会话「{{title}}」…",
+    "hostIpFormat": "{{hostname}}（{{ip}}）",
+    "cloudService": "云服务",
+    "customAccess": "自定义接入",
+    "unknownProviderHint": "当前提供商「{{provider}}」不在预设列表中，可继续使用或切换到其他提供商。",
+    "providerNeedsKey": "使用 {{name}} 需先开通服务并获取 API Key",
+    "reasoningPlanMode": "推理 / Plan 模式",
+    "reasoningModelHint": "适用于 OpenAI o-series / DeepSeek R1 / Claude 3.7 Sonnet 等推理模型；普通模型开启后可能报错。",
+    "testConnectionBtn": "测试连接",
+    "saveConfigBtn": "保存配置",
+    "verifiedCanSave": "已验证，可保存",
+    "testResultTitle": "测试结果",
+    "modelColon": "模型:",
+    "providerColon": "提供商:",
+    "tokensConsumed": "消耗 Token:",
+    "configHelpText": "云服务：选择提供商 → 开通并填写 API Key → 测试连接 → 保存。\n          编码套餐：GLM / Kimi / MiniMax 固定月费套餐，适合 Agent CLI 高频调用（注意 Key 与按量版不互通）。\n          大模型自定义：填请求地址 + API Key + 模型名，兼容 OpenRouter 等 OpenAI 格式服务。\n          本地/自建（Ollama、vLLM）：填写 Endpoint 与模型名即可，API Key 可留空。\n          测试时会发送「你是什么模型？请简短回答。」以确认接入目标模型。",
+    "capabilities": "能力展示",
+    "autoReportGen": "自动报告生成",
+    "aiEngineRunning": "AI 引擎运行中",
+    "activeCount": "{{count}} 个活跃",
+    "severityCritical": "严重",
+    "severityWarning": "警告",
+    "severityInfo": "提示",
+    "durationHM": "{{hours}}小时{{mins}}分钟",
+    "durationM": "{{mins}}分钟",
+    "confidencePercent": "置信度 {{n}}%",
+    "noAnalysisYet": "选择左侧告警查看 AI 分析",
+    "aiAnalysisResult": "AI 分析结果",
+    "analyzingRootCause": "AI正在分析告警根因...",
+    "rootCauseAnalysis": "根因分析",
+    "impactScopeLabel": "影响范围",
+    "fixSuggestions": "修复建议",
+    "similarCasesFound": "发现 {{count}} 个相似历史案例",
+    "autoFixScriptTitle": "自动修复脚本",
+    "executeAutoFix": "执行自动修复",
+    "autoFixDialogDesc": "AI生成的自动修复脚本，请确认后执行",
+    "autoFixWarning": "警告：执行脚本前请确保已备份重要数据",
+    "confirmExecute": "确认执行",
+    "aiDeepAnalysis": "AI 深度解读",
+    "loadingCapacityData": "加载容量数据...",
+    "sevenDayForecast": "7天使用率预测",
+    "expectedReachThreshold": "预计 {{days}} 天后达到阈值",
+    "currentUsageLabel": "当前 {{n}}%",
+    "predictedUsageLabel": "预测 {{n}}%",
+    "thresholdLabel": "阈值 {{n}}%",
+    "aiSuggestionColon": "AI建议:",
+    "keyMetricForecast": "关键指标预测",
+    "linearRegressionForecast": "线性回归预测",
+    "loadingMetricData": "加载指标数据...",
+    "trendUp": "上升",
+    "trendDown": "下降",
+    "trendStable": "平稳",
+    "predictedValueLabel": "预测值 ({{range}})",
+    "probabilityColon": "概率:",
+    "memoryKeyword": "内存",
+    "diskKeyword": "磁盘",
+    "networkKeyword": "网络",
+    "roundN": "第 {{round}} 轮",
+    "toolCountLabel": "{{count}} 个工具",
+    "roundThinking": "第 {{round}} 轮思考",
+    "durationLabel": "耗时 {{duration}}",
+    "confirmDeleteSession": "确定删除「{{title}}」？此操作不可恢复。",
+    "newSessionBtn": "新建",
+    "roundsTokensSummary": "{{rounds}}轮 · {{tokens}}t",
+    "next4Hours": "未来4小时",
+    "next12Hours": "未来12小时",
+    "next24Hours": "未来24小时",
+    "nextNDays": "未来{{n}}天",
+    "mayTrigger": "{{name}}可能触发",
+    "mayRecur": "{{name}}可能再次发生",
+    "daysToThreshold": "{{days}} 天后触及阈值",
+    "forecastSummary": "- {{resource}}：当前 {{current}}% → 7天后预测 {{predicted}}%（阈值 {{threshold}}%），{{risk}}",
+    "safetyBalancedExamples": "cat/grep/df 自动 · rm/reboot 确认"
  }
-}
+}