feat(usage): 修复缓存命中率计算并新增用户端 API 格式统计

- 新增 input_context_expr() 按 api_format 区分 input_tokens 语义
  (OpenAI/Gemini input_tokens 已含 cache_read，Claude 需额外加上)
- 缓存命中率统一改为基于归一化后的 total_input_context 计算
- 用户 /me/usage 接口新增 summary_by_api_format 后端聚合字段
- 前端 API 格式统计改用后端聚合数据，移除前端逐条记录手动统计
- 提取 formatHitRate 到 utils/format.ts 消除三处重复定义
- 移除 PoolManager 中未使用的 select_key 方法

Co-Authored-By: AAEE86 <ppk0227@hotmail.com>

frontend/src/api/me.ts

@@ -79,6 +79,8 @@ export interface ModelSummary {
   input_tokens: number
   output_tokens: number
   total_tokens: number
+  cache_read_tokens?: number
+  cache_hit_rate?: number
   total_cost_usd: number
   actual_total_cost_usd?: number  // 倍率消耗（仅管理员可见）
 }
@@ -88,11 +90,24 @@ export interface ProviderSummary {
   provider: string
   requests: number
   total_tokens: number
+  cache_read_tokens?: number
+  cache_hit_rate?: number
   total_cost_usd: number
   success_rate: number | null
   avg_response_time_ms: number | null
 }
 
+// API 格式统计接口
+export interface ApiFormatSummary {
+  api_format: string
+  request_count: number
+  total_tokens: number
+  cache_read_tokens: number
+  cache_hit_rate: number
+  total_cost_usd: number
+  avg_response_time_ms: number
+}
+
 // 使用统计响应接口
 export interface UsageResponse {
   total_requests: number
@@ -105,6 +120,7 @@ export interface UsageResponse {
   billing: BillingSummary
   summary_by_model: ModelSummary[]
   summary_by_provider?: ProviderSummary[]
+  summary_by_api_format?: ApiFormatSummary[]
   pagination?: {
     total: number
     limit: number

frontend/src/api/usage.ts

@@ -40,6 +40,8 @@ export interface UsageByModel {
   total_tokens: number
   total_cost: number
   avg_response_time?: number
+  cache_read_tokens?: number
+  cache_hit_rate?: number
 }
 
 export interface UsageByUser {
@@ -61,6 +63,8 @@ export interface UsageByProvider {
   avg_response_time_ms: number
   success_rate: number
   error_count: number
+  cache_read_tokens?: number
+  cache_hit_rate?: number
 }
 
 export interface UsageByApiFormat {
@@ -70,6 +74,8 @@ export interface UsageByApiFormat {
   total_cost: number
   actual_cost: number
   avg_response_time_ms: number
+  cache_read_tokens?: number
+  cache_hit_rate?: number
 }
 
 export interface UsageFilters {

frontend/src/features/usage/components/UsageApiFormatTable.vue

@@ -21,6 +21,12 @@
             <TableHead class="h-8 px-2 text-right">
               费用
             </TableHead>
+            <TableHead class="h-8 px-2 text-right">
+              缓存Token
+            </TableHead>
+            <TableHead class="h-8 px-2 text-right">
+              缓存命中率
+            </TableHead>
             <TableHead class="h-8 px-2 text-right">
               平均响应
             </TableHead>
@@ -29,7 +35,7 @@
         <TableBody>
           <TableRow v-if="data.length === 0">
             <TableCell
-              :colspan="5"
+              :colspan="7"
               class="text-center py-6 text-muted-foreground px-2"
             >
               暂无API格式统计数据
@@ -59,6 +65,12 @@
                 </span>
               </div>
             </TableCell>
+            <TableCell class="text-right py-2 px-2">
+              {{ formatTokens(item.cache_read_tokens || 0) }}
+            </TableCell>
+            <TableCell class="text-right py-2 px-2 text-muted-foreground">
+              {{ formatHitRate(item.cache_hit_rate) }}
+            </TableCell>
             <TableCell class="text-right text-muted-foreground py-2 px-2">
               {{ item.avgResponseTime }}
             </TableCell>
@@ -77,7 +89,7 @@ import TableBody from '@/components/ui/table-body.vue'
 import TableRow from '@/components/ui/table-row.vue'
 import TableHead from '@/components/ui/table-head.vue'
 import TableCell from '@/components/ui/table-cell.vue'
-import { formatTokens, formatCurrency } from '@/utils/format'
+import { formatTokens, formatCurrency, formatHitRate } from '@/utils/format'
 import { formatApiFormat } from '@/api/endpoints/types/api-format'
 import type { ApiFormatStatsItem } from '../types'
 
@@ -85,5 +97,4 @@ defineProps<{
   data: ApiFormatStatsItem[]
   isAdmin: boolean
 }>()
-
 </script>

frontend/src/features/usage/components/UsageModelTable.vue

@@ -21,6 +21,12 @@
             <TableHead class="h-8 px-2 text-right">
               费用
             </TableHead>
+            <TableHead class="h-8 px-2 text-right">
+              缓存Token
+            </TableHead>
+            <TableHead class="h-8 px-2 text-right">
+              缓存命中率
+            </TableHead>
             <TableHead class="h-8 px-2 text-right">
               效率
             </TableHead>
@@ -29,7 +35,7 @@
         <TableBody>
           <TableRow v-if="data.length === 0">
             <TableCell
-              :colspan="5"
+              :colspan="7"
               class="text-center py-6 text-muted-foreground px-2"
             >
               暂无模型统计数据
@@ -59,6 +65,12 @@
                 </span>
               </div>
             </TableCell>
+            <TableCell class="text-right py-2 px-2">
+              {{ formatTokens(model.cache_read_tokens || 0) }}
+            </TableCell>
+            <TableCell class="text-right py-2 px-2 text-muted-foreground">
+              {{ formatHitRate(model.cache_hit_rate) }}
+            </TableCell>
             <TableCell class="text-right text-muted-foreground py-2 px-2">
               {{ model.costPerToken }}
             </TableCell>
@@ -77,7 +89,7 @@ import TableBody from '@/components/ui/table-body.vue'
 import TableRow from '@/components/ui/table-row.vue'
 import TableHead from '@/components/ui/table-head.vue'
 import TableCell from '@/components/ui/table-cell.vue'
-import { formatTokens, formatCurrency } from '@/utils/format'
+import { formatTokens, formatCurrency, formatHitRate } from '@/utils/format'
 import type { EnhancedModelStatsItem } from '../types'
 
 defineProps<{

frontend/src/features/usage/components/UsageProviderTable.vue

@@ -21,6 +21,12 @@
             <TableHead class="h-8 px-2 text-right">
               费用
             </TableHead>
+            <TableHead class="h-8 px-2 text-right">
+              缓存Token
+            </TableHead>
+            <TableHead class="h-8 px-2 text-right">
+              缓存命中率
+            </TableHead>
             <TableHead class="h-8 px-2 text-right">
               成功率
             </TableHead>
@@ -32,7 +38,7 @@
         <TableBody>
           <TableRow v-if="data.length === 0">
             <TableCell
-              :colspan="6"
+              :colspan="8"
               class="text-center py-6 text-muted-foreground px-2"
             >
               暂无提供商统计数据
@@ -62,6 +68,12 @@
                 </span>
               </div>
             </TableCell>
+            <TableCell class="text-right py-2 px-2">
+              {{ formatTokens(provider.cacheReadTokens || 0) }}
+            </TableCell>
+            <TableCell class="text-right py-2 px-2 text-muted-foreground">
+              {{ formatHitRate(provider.cacheHitRate) }}
+            </TableCell>
             <TableCell class="text-right py-2 px-2">
               <span :class="getSuccessRateClass(provider.successRate)">{{ provider.successRate }}%</span>
             </TableCell>
@@ -83,7 +95,7 @@ import TableBody from '@/components/ui/table-body.vue'
 import TableRow from '@/components/ui/table-row.vue'
 import TableHead from '@/components/ui/table-head.vue'
 import TableCell from '@/components/ui/table-cell.vue'
-import { formatTokens, formatCurrency } from '@/utils/format'
+import { formatTokens, formatCurrency, formatHitRate } from '@/utils/format'
 import type { ProviderStatsItem } from '../types'
 
 defineProps<{

frontend/src/features/usage/composables/useUsageData.ts

@@ -110,6 +110,8 @@ export function useUsageData(options: UseUsageDataOptions) {
             model: item.model,
             request_count: item.request_count || 0,
             total_tokens: item.total_tokens || 0,
+            cache_read_tokens: typeof raw.cache_read_tokens === 'number' ? raw.cache_read_tokens : 0,
+            cache_hit_rate: typeof raw.cache_hit_rate === 'number' ? raw.cache_hit_rate : 0,
             total_cost: item.total_cost || 0,
             actual_cost: typeof raw.actual_cost === 'number' ? raw.actual_cost : undefined
           }
@@ -119,6 +121,8 @@ export function useUsageData(options: UseUsageDataOptions) {
           provider: item.provider,
           requests: item.request_count,
           totalTokens: item.total_tokens || 0,
+          cacheReadTokens: item.cache_read_tokens || 0,
+          cacheHitRate: item.cache_hit_rate || 0,
           totalCost: item.total_cost,
           actualCost: item.actual_cost,
           successRate: item.success_rate,
@@ -131,6 +135,8 @@ export function useUsageData(options: UseUsageDataOptions) {
           api_format: item.api_format,
           request_count: item.request_count || 0,
           total_tokens: item.total_tokens || 0,
+          cache_read_tokens: item.cache_read_tokens || 0,
+          cache_hit_rate: item.cache_hit_rate || 0,
           total_cost: item.total_cost || 0,
           actual_cost: item.actual_cost,
           avgResponseTime: item.avg_response_time_ms > 0
@@ -163,6 +169,8 @@ export function useUsageData(options: UseUsageDataOptions) {
           model: item.model,
           request_count: item.requests || 0,
           total_tokens: item.total_tokens || 0,
+          cache_read_tokens: item.cache_read_tokens || 0,
+          cache_hit_rate: item.cache_hit_rate || 0,
           total_cost: item.total_cost_usd || 0,
           actual_cost: item.actual_total_cost_usd
         }))
@@ -170,7 +178,9 @@ export function useUsageData(options: UseUsageDataOptions) {
         providerStats.value = (userData.summary_by_provider || []).map((item) => ({
           provider: item.provider,
           requests: item.requests || 0,
-          totalTokens: 0,
+          totalTokens: item.total_tokens || 0,
+          cacheReadTokens: item.cache_read_tokens || 0,
+          cacheHitRate: item.cache_hit_rate || 0,
           totalCost: item.total_cost_usd || 0,
           successRate: item.success_rate || 0,
           avgResponseTime: (item.avg_response_time_ms ?? 0) > 0
@@ -184,57 +194,28 @@ export function useUsageData(options: UseUsageDataOptions) {
         currentRecords.value = mergeRecordStatus(currentRecords.value, nextRecords)
         totalRecords.value = userData.pagination?.total ?? currentRecords.value.length
 
-        // 从记录中提取筛选选项和 API 格式统计
+        // 从记录中提取筛选选项
         const models = new Set<string>()
         const providers = new Set<string>()
-        const apiFormatMap = new Map<string, {
-          count: number
-          tokens: number
-          cost: number
-          totalResponseTime: number
-          responseTimeCount: number
-        }>()
-
         currentRecords.value.forEach(record => {
           if (record.model) models.add(record.model)
           if (record.provider) providers.add(record.provider)
-          if (record.api_format) {
-            const existing = apiFormatMap.get(record.api_format) || {
-              count: 0,
-              tokens: 0,
-              cost: 0,
-              totalResponseTime: 0,
-              responseTimeCount: 0
-            }
-            existing.count++
-            existing.tokens += record.total_tokens || 0
-            existing.cost += record.cost || 0
-            if (record.response_time_ms) {
-              existing.totalResponseTime += record.response_time_ms
-              existing.responseTimeCount++
-            }
-            apiFormatMap.set(record.api_format, existing)
-          }
         })
-
         availableModels.value = Array.from(models).sort()
         availableProviders.value = Array.from(providers).sort()
 
-        // 构建 API 格式统计数据
-        apiFormatStats.value = Array.from(apiFormatMap.entries())
-          .map(([format, data]) => {
-            const avgMs = data.responseTimeCount > 0
-              ? data.totalResponseTime / data.responseTimeCount
-              : 0
-            return {
-              api_format: format,
-              request_count: data.count,
-              total_tokens: data.tokens,
-              total_cost: data.cost,
-              avgResponseTime: avgMs > 0 ? `${(avgMs / 1000).toFixed(2)}s` : '-'
-            }
-          })
-          .sort((a, b) => b.request_count - a.request_count)
+        // API 格式统计直接使用后端聚合数据
+        apiFormatStats.value = (userData.summary_by_api_format || []).map(item => ({
+          api_format: item.api_format,
+          request_count: item.request_count || 0,
+          total_tokens: item.total_tokens || 0,
+          cache_read_tokens: item.cache_read_tokens || 0,
+          cache_hit_rate: item.cache_hit_rate || 0,
+          total_cost: item.total_cost_usd || 0,
+          avgResponseTime: (item.avg_response_time_ms ?? 0) > 0
+            ? `${((item.avg_response_time_ms ?? 0) / 1000).toFixed(2)}s`
+            : '-'
+        }))
       }
     } catch (error: unknown) {
       if (requestId !== loadStatsRequestId) {

frontend/src/features/usage/types.ts

@@ -22,6 +22,8 @@ export interface ModelStatsItem {
   model: string
   request_count: number
   total_tokens: number
+  cache_read_tokens?: number
+  cache_hit_rate?: number
   total_cost: number
   actual_cost?: number  // 倍率消耗
 }
@@ -36,6 +38,8 @@ export interface ProviderStatsItem {
   provider: string
   requests: number
   totalTokens: number
+  cacheReadTokens?: number
+  cacheHitRate?: number
   totalCost: number
   actualCost?: number
   successRate: number
@@ -47,6 +51,8 @@ export interface ApiFormatStatsItem {
   api_format: string
   request_count: number
   total_tokens: number
+  cache_read_tokens?: number
+  cache_hit_rate?: number
   total_cost: number
   actual_cost?: number
   avgResponseTime: string

frontend/src/features/users/components/UserFormDialog.vue

@@ -90,8 +90,8 @@
               :required="!isEditMode"
               minlength="6"
               :placeholder="isEditMode ? '留空保持原密码' : getPasswordPolicyPlaceholder(passwordPolicyLevel)"
+              class="h-10"
               :class="[
-                'h-10',
                 passwordError ? 'border-destructive' : '',
               ]"
             />

frontend/src/utils/format.ts

@@ -152,4 +152,10 @@ export function formatRemainingTime(expireAt: number | undefined, currentTime: n
   const minutes = Math.floor(remaining / 60)
   const seconds = Math.floor(remaining % 60)
   return `${minutes}分${seconds}秒`
-}
+}
+
+// Cache hit rate formatting
+export function formatHitRate(rate: number | undefined): string {
+  if (typeof rate !== 'number' || Number.isNaN(rate)) return '-'
+  return `${rate.toFixed(2)}%`
+}

src/api/admin/usage/routes.py

@@ -29,6 +29,7 @@ from src.models.database import (
 )
 from src.services.system.stats_aggregator import AggregatedStats, StatsFilter, query_stats_hybrid
 from src.services.system.time_range import TimeRangeParams
+from src.services.usage.query import input_context_expr
 from src.services.usage.service import UsageService
 from src.utils.cache_decorator import cache_result
 
@@ -78,6 +79,25 @@ def _build_time_range_params(
         raise HTTPException(status_code=400, detail=str(exc)) from exc
 
 
+def _calculate_token_cache_hit_rate(
+    total_input_context: int | None,
+    cache_read_tokens: int | None,
+) -> float:
+    """计算缓存命中率。
+
+    Args:
+        total_input_context: 已归一化的总输入上下文 token 数。
+            Claude 格式: input_tokens + cache_read_input_tokens
+            OpenAI/Gemini 格式: input_tokens（已包含 cache_read）
+        cache_read_tokens: 缓存读取 token 数
+    """
+    context = int(total_input_context or 0)
+    cached = int(cache_read_tokens or 0)
+    if context <= 0:
+        return 0.0
+    return round(cached / context * 100, 2)
+
+
 # ==================== RESTful Routes ====================
 
 
@@ -107,10 +127,10 @@ async def get_usage_aggregation(
     - `limit`: 返回数量限制，默认 20，最大 100
 
     **返回字段**:
-    - 按模型聚合时：model, request_count, total_tokens, total_cost, actual_cost
+    - 按模型聚合时：model, request_count, total_tokens, total_cost, actual_cost, cache_read_tokens, cache_hit_rate
     - 按用户聚合时：user_id, email, username, request_count, total_tokens, total_cost
-    - 按提供商聚合时：provider_id, provider, request_count, total_tokens, total_cost, actual_cost, avg_response_time_ms, success_rate, error_count
-    - 按 API 格式聚合时：api_format, request_count, total_tokens, total_cost, actual_cost, avg_response_time_ms
+    - 按提供商聚合时：provider_id, provider, request_count, total_tokens, total_cost, actual_cost, avg_response_time_ms, success_rate, error_count, cache_read_tokens, cache_hit_rate
+    - 按 API 格式聚合时：api_format, request_count, total_tokens, total_cost, actual_cost, avg_response_time_ms, cache_read_tokens, cache_hit_rate
     """
     time_range = _apply_admin_default_range(
         _build_time_range_params(start_date, end_date, preset, timezone_name, tz_offset_minutes)
@@ -524,6 +544,8 @@ class AdminUsageByModelAdapter(AdminApiAdapter):
             func.sum(Usage.total_tokens).label("total_tokens"),
             func.sum(Usage.total_cost_usd).label("total_cost"),
             func.sum(Usage.actual_total_cost_usd).label("actual_cost"),
+            func.sum(Usage.cache_read_input_tokens).label("cache_read_tokens"),
+            func.sum(input_context_expr()).label("total_input_context"),
         )
         # 过滤掉 pending/streaming 状态的请求（尚未完成的请求不应计入统计）
         query = query.filter(Usage.status.notin_(["pending", "streaming"]))
@@ -553,8 +575,13 @@ class AdminUsageByModelAdapter(AdminApiAdapter):
                 "total_tokens": int(tokens or 0),
                 "total_cost": float(cost or 0),
                 "actual_cost": float(actual_cost or 0),
+                "cache_read_tokens": int(cache_read_tokens or 0),
+                "cache_hit_rate": _calculate_token_cache_hit_rate(
+                    total_input_context=total_input_context,
+                    cache_read_tokens=cache_read_tokens,
+                ),
             }
-            for model, count, tokens, cost, actual_cost in stats
+            for model, count, tokens, cost, actual_cost, cache_read_tokens, total_input_context in stats
         ]
 
 
@@ -678,6 +705,8 @@ class AdminUsageByProviderAdapter(AdminApiAdapter):
             func.sum(Usage.total_cost_usd).label("total_cost"),
             func.sum(Usage.actual_total_cost_usd).label("actual_cost"),
             func.avg(Usage.response_time_ms).label("avg_response_time_ms"),
+            func.sum(Usage.cache_read_input_tokens).label("cache_read_tokens"),
+            func.sum(input_context_expr()).label("total_input_context"),
         ).filter(
             Usage.provider_id.isnot(None),
             # 过滤掉 pending/streaming 状态的请求
@@ -742,6 +771,13 @@ class AdminUsageByProviderAdapter(AdminApiAdapter):
                     "avg_response_time_ms": float(stat.avg_latency_ms or 0),
                     "success_rate": round(success_rate, 2),
                     "error_count": failed_count,
+                    "cache_read_tokens": (
+                        int(usage_stat.cache_read_tokens or 0) if usage_stat else 0
+                    ),
+                    "cache_hit_rate": _calculate_token_cache_hit_rate(
+                        total_input_context=(usage_stat.total_input_context if usage_stat else 0),
+                        cache_read_tokens=(usage_stat.cache_read_tokens if usage_stat else 0),
+                    ),
                 }
             )
 
@@ -773,6 +809,8 @@ class AdminUsageByApiFormatAdapter(AdminApiAdapter):
             func.sum(Usage.total_cost_usd).label("total_cost"),
             func.sum(Usage.actual_total_cost_usd).label("actual_cost"),
             func.avg(Usage.response_time_ms).label("avg_response_time_ms"),
+            func.sum(Usage.cache_read_input_tokens).label("cache_read_tokens"),
+            func.sum(input_context_expr()).label("total_input_context"),
         )
         # 过滤掉 pending/streaming 状态的请求
         query = query.filter(Usage.status.notin_(["pending", "streaming"]))
@@ -808,8 +846,22 @@ class AdminUsageByApiFormatAdapter(AdminApiAdapter):
                 "total_cost": float(cost or 0),
                 "actual_cost": float(actual_cost or 0),
                 "avg_response_time_ms": float(avg_response_time or 0),
+                "cache_read_tokens": int(cache_read_tokens or 0),
+                "cache_hit_rate": _calculate_token_cache_hit_rate(
+                    total_input_context=total_input_context,
+                    cache_read_tokens=cache_read_tokens,
+                ),
             }
-            for api_format, count, tokens, cost, actual_cost, avg_response_time in stats
+            for (
+                api_format,
+                count,
+                tokens,
+                cost,
+                actual_cost,
+                avg_response_time,
+                cache_read_tokens,
+                total_input_context,
+            ) in stats
         ]
 
 

src/api/user_me/routes.py

@@ -48,6 +48,7 @@ from src.models.database import (
 from src.services.cache.user_cache import UserCacheService
 from src.services.system.config import SystemConfigService
 from src.services.system.time_range import TimeRangeParams
+from src.services.usage.query import input_context_expr
 from src.services.usage.service import UsageService
 from src.services.user.apikey import ApiKeyService
 from src.services.user.bulk_cleanup import pre_clean_api_key
@@ -59,6 +60,20 @@ router = APIRouter(prefix="/api/users/me", tags=["User Profile"])
 pipeline = ApiRequestPipeline()
 
 
+def _calculate_token_cache_hit_rate(total_input_context: int, cache_read_tokens: int) -> float:
+    """计算缓存命中率。
+
+    Args:
+        total_input_context: 已归一化的总输入上下文 token 数（由 query.py 按 API 格式精确计算）。
+        cache_read_tokens: 缓存读取 token 数。
+    """
+    context = max(0, int(total_input_context))
+    cached = max(0, int(cache_read_tokens))
+    if context == 0:
+        return 0.0
+    return round(cached / context * 100, 2)
+
+
 def _update_profile_sync(
     user_id: str,
     request: UpdateProfileRequest,
@@ -508,8 +523,8 @@ async def get_my_usage(
     - `total_requests`: 总请求数
     - `total_tokens`: 总 Token 数
     - `total_cost`: 总成本（USD）
-    - `summary_by_model`: 按模型分组统计
-    - `summary_by_provider`: 按提供商分组统计
+    - `summary_by_model`: 按模型分组统计（含 `cache_read_tokens`、`cache_hit_rate`）
+    - `summary_by_provider`: 按提供商分组统计（含 `cache_read_tokens`、`cache_hit_rate`）
     - `records`: 详细使用记录列表
     - `pagination`: 分页信息
     """
@@ -1045,6 +1060,9 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
                 "input_tokens": 0,
                 "output_tokens": 0,
                 "total_tokens": 0,
+                "cache_read_tokens": 0,
+                "total_input_context": 0,
+                "cache_hit_rate": 0.0,
                 "total_cost_usd": 0.0,
             }
             # 管理员可以看到真实成本
@@ -1056,6 +1074,8 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
             stats["input_tokens"] += item["input_tokens"]
             stats["output_tokens"] += item["output_tokens"]
             stats["total_tokens"] += item["total_tokens"]
+            stats["cache_read_tokens"] += int(item.get("cache_read_tokens", 0) or 0)
+            stats["total_input_context"] += int(item.get("total_input_context", 0) or 0)
             stats["total_cost_usd"] += item["total_cost_usd"]
             # 管理员可以看到真实成本
             if user.role == UserRole.ADMIN:
@@ -1066,6 +1086,8 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
                 "provider": provider_name,
                 "requests": 0,
                 "total_tokens": 0,
+                "cache_read_tokens": 0,
+                "total_input_context": 0,
                 "total_cost_usd": 0.0,
                 "success_count": 0,
                 "total_response_time_ms": 0.0,
@@ -1074,6 +1096,8 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
             provider_stats = provider_summary.setdefault(provider_name, provider_base_stats)
             provider_stats["requests"] += item["requests"]
             provider_stats["total_tokens"] += item["total_tokens"]
+            provider_stats["cache_read_tokens"] += int(item.get("cache_read_tokens", 0) or 0)
+            provider_stats["total_input_context"] += int(item.get("total_input_context", 0) or 0)
             provider_stats["total_cost_usd"] += item["total_cost_usd"]
             provider_stats["success_count"] += int(item.get("success_count", 0) or 0)
             success_response_time_count = int(item.get("success_response_time_count", 0) or 0)
@@ -1083,6 +1107,13 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
                 )
                 provider_stats["response_time_count"] += success_response_time_count
 
+        for model_stats in model_summary.values():
+            model_stats["cache_hit_rate"] = _calculate_token_cache_hit_rate(
+                total_input_context=int(model_stats.get("total_input_context", 0) or 0),
+                cache_read_tokens=int(model_stats.get("cache_read_tokens", 0) or 0),
+            )
+            model_stats.pop("total_input_context", None)
+
         summary_by_model = sorted(model_summary.values(), key=lambda x: x["requests"], reverse=True)
         summary_by_provider = []
         for provider_stats in provider_summary.values():
@@ -1101,6 +1132,11 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
                     "provider": provider_stats["provider"],
                     "requests": provider_stats["requests"],
                     "total_tokens": provider_stats["total_tokens"],
+                    "cache_read_tokens": provider_stats["cache_read_tokens"],
+                    "cache_hit_rate": _calculate_token_cache_hit_rate(
+                        total_input_context=int(provider_stats.get("total_input_context", 0) or 0),
+                        cache_read_tokens=int(provider_stats.get("cache_read_tokens", 0) or 0),
+                    ),
                     "total_cost_usd": provider_stats["total_cost_usd"],
                     "success_rate": round(success_rate, 2),
                     "avg_response_time_ms": round(avg_response_time_ms, 2),
@@ -1108,6 +1144,52 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
             )
         summary_by_provider = sorted(summary_by_provider, key=lambda x: x["requests"], reverse=True)
 
+        # 按 api_format 聚合统计（独立查询，因为 get_usage_summary 按 provider+model 分组无此维度）
+        api_format_query = db.query(
+            Usage.api_format,
+            func.count(Usage.id).label("request_count"),
+            func.sum(Usage.total_tokens).label("total_tokens"),
+            func.sum(Usage.cache_read_input_tokens).label("cache_read_tokens"),
+            func.sum(input_context_expr()).label("total_input_context"),
+            func.sum(Usage.total_cost_usd).label("total_cost_usd"),
+            func.avg(Usage.response_time_ms).label("avg_response_time_ms"),
+        ).filter(
+            Usage.user_id == user.id,
+            Usage.status.notin_(["pending", "streaming"]),
+            Usage.provider_name.notin_(["unknown", "pending"]),
+            Usage.api_format.isnot(None),
+        )
+        if start_utc and end_utc:
+            api_format_query = api_format_query.filter(
+                Usage.created_at >= start_utc, Usage.created_at < end_utc
+            )
+        api_format_stats = (
+            api_format_query.group_by(Usage.api_format).order_by(func.count(Usage.id).desc()).all()
+        )
+        summary_by_api_format = [
+            {
+                "api_format": api_format or "unknown",
+                "request_count": count,
+                "total_tokens": int(total_tokens or 0),
+                "cache_read_tokens": int(cache_read_tokens or 0),
+                "cache_hit_rate": _calculate_token_cache_hit_rate(
+                    total_input_context=total_input_context,
+                    cache_read_tokens=cache_read_tokens,
+                ),
+                "total_cost_usd": float(total_cost_usd or 0),
+                "avg_response_time_ms": float(avg_response_time_ms or 0),
+            }
+            for (
+                api_format,
+                count,
+                total_tokens,
+                cache_read_tokens,
+                total_input_context,
+                total_cost_usd,
+                avg_response_time_ms,
+            ) in api_format_stats
+        ]
+
         query = (
             db.query(Usage, ApiKey, ProviderEndpoint)
             .outerjoin(ApiKey, Usage.api_key_id == ApiKey.id)
@@ -1199,6 +1281,7 @@ class GetUsageAdapter(AuthenticatedApiAdapter):
             "billing": WalletService.serialize_wallet_summary(wallet),
             "summary_by_model": summary_by_model,
             "summary_by_provider": summary_by_provider,
+            "summary_by_api_format": summary_by_api_format,
             # 分页信息
             "pagination": {
                 "total": total_records,

src/services/provider/pool/manager.py

@@ -471,186 +471,6 @@ class PoolManager:
 
         return ordered_keys, trace
 
-    # ------------------------------------------------------------------
-    # Single-key selection (used by CandidateBuilder for pooled providers)
-    # ------------------------------------------------------------------
-
-    async def select_key(
-        self,
-        session_uuid: str | None,
-        keys: list[ProviderAPIKey],
-    ) -> ProviderAPIKey | None:
-        """Select the best key from *keys* according to pool rules.
-
-        Same logic as :meth:`reorder_candidates` but operates directly on
-        :class:`ProviderAPIKey` objects instead of candidates:
-
-        1. Sticky session hit (if bound and still healthy).
-        2. Filter out keys in account-blocked / cooldown / cost-exhausted.
-        3. LRU sort among remaining keys.
-        4. Random tiebreak for identical LRU scores.
-        5. Return the first available key, or ``None``.
-        """
-        if not keys:
-            return None
-
-        pid = self.provider_id
-
-        # --- 1. Sticky session ------------------------------------------------
-        sticky_key_id: str | None = None
-        if session_uuid and self.config.sticky_session_ttl_seconds > 0:
-            sticky_key_id = await redis_ops.get_sticky_binding(
-                pid, session_uuid, self.config.sticky_session_ttl_seconds
-            )
-
-        # --- 2. Batch fetch pool state (parallel) -----------------------------
-        key_ids = [str(k.id) for k in keys]
-
-        _cooldown_coro = redis_ops.batch_get_cooldowns(pid, key_ids)
-        _cost_coro = (
-            redis_ops.batch_get_cost_totals(pid, key_ids, self.config.cost_window_seconds)
-            if (
-                self.config.cost_limit_per_key_tokens is not None
-                or self.config.scheduling_mode == "multi_score"
-            )
-            else None
-        )
-        _need_lru_sk = self.config.lru_enabled or self.config.scheduling_mode == "multi_score"
-        _lru_coro = redis_ops.get_lru_scores(pid, key_ids) if _need_lru_sk else None
-        _latency_coro = (
-            redis_ops.batch_get_latency_avgs(pid, key_ids, self.config.latency_window_seconds)
-            if self.config.scheduling_mode == "multi_score"
-            else None
-        )
-
-        coros_sk: list[Any] = [_cooldown_coro]
-        _cost_idx_sk = -1
-        _lru_idx_sk = -1
-        _latency_idx_sk = -1
-        if _cost_coro is not None:
-            _cost_idx_sk = len(coros_sk)
-            coros_sk.append(_cost_coro)
-        if _lru_coro is not None:
-            _lru_idx_sk = len(coros_sk)
-            coros_sk.append(_lru_coro)
-        if _latency_coro is not None:
-            _latency_idx_sk = len(coros_sk)
-            coros_sk.append(_latency_coro)
-
-        gathered_sk = await asyncio.gather(*coros_sk)
-
-        cooldowns = gathered_sk[0]
-
-        cost_exhausted: set[str] = set()
-        cost_totals: dict[str, int] = {}
-        if _cost_idx_sk >= 0:
-            cost_totals = gathered_sk[_cost_idx_sk]
-            if self.config.cost_limit_per_key_tokens is not None:
-                for kid, total in cost_totals.items():
-                    if total >= self.config.cost_limit_per_key_tokens:
-                        cost_exhausted.add(kid)
-
-        lru_scores: dict[str, float] = {}
-        if _lru_idx_sk >= 0:
-            lru_scores = gathered_sk[_lru_idx_sk]
-
-        latency_avgs: dict[str, float] = {}
-        if _latency_idx_sk >= 0:
-            latency_avgs = gathered_sk[_latency_idx_sk]
-
-        health_scores: dict[str, float] = {}
-        if self.config.scheduling_mode == "multi_score":
-            health_scores = get_health_scores(pid, keys)
-
-        provider_type = self.provider_type
-        if provider_type is None and keys:
-            first_provider = getattr(keys[0], "provider", None)
-            provider_type = str(getattr(first_provider, "provider_type", "") or "").strip().lower()
-            if not provider_type:
-                provider_type = None
-
-        # --- Strategy: compute_score ------------------------------------------
-        strategies = _get_active_strategies(self.config)
-        strategy_context: dict[str, Any] = {
-            "session_uuid": session_uuid,
-            "provider_type": provider_type,
-            "all_key_ids": key_ids,
-            "lru_scores": lru_scores,
-            "cost_totals": cost_totals if _cost_idx_sk >= 0 else {},
-            "cost_limit_per_key_tokens": self.config.cost_limit_per_key_tokens,
-            "latency_avgs": latency_avgs,
-            "health_scores": health_scores,
-            "keys_by_id": {str(k.id): k for k in keys},
-        }
-        for strategy in strategies:
-            if hasattr(strategy, "compute_score"):
-                for kid in key_ids:
-                    try:
-                        custom = strategy.compute_score(
-                            key_id=kid,
-                            config=self.config,
-                            context=strategy_context,
-                        )
-                        if custom is not None:
-                            lru_scores[kid] = float(custom)
-                    except Exception:
-                        pass
-
-        # --- 3. Classify keys -------------------------------------------------
-        # Use precomputed account states when available.
-        account_states_sk: dict[str, Any] = {}
-        for k in keys:
-            kid = str(k.id)
-            if kid not in account_states_sk:
-                precomputed = getattr(k, "_pool_account_state", None)
-                if precomputed is not None:
-                    account_states_sk[kid] = precomputed
-                else:
-                    account_states_sk[kid] = resolve_pool_account_state(
-                        provider_type=self.provider_type,
-                        upstream_metadata=getattr(k, "upstream_metadata", None),
-                        oauth_invalid_reason=getattr(k, "oauth_invalid_reason", None),
-                    )
-
-        sticky_key: ProviderAPIKey | None = None
-        available: list[ProviderAPIKey] = []
-
-        for k in keys:
-            kid = str(k.id)
-
-            if account_states_sk[kid].blocked:
-                continue
-
-            if cooldowns.get(kid) is not None:
-                continue
-            if kid in cost_exhausted:
-                continue
-
-            if sticky_key_id and kid == sticky_key_id:
-                sticky_key = k
-                continue
-
-            available.append(k)
-
-        # --- 4. Sort by LRU ---------------------------------------------------
-        if lru_scores and available:
-            available.sort(key=lambda k: lru_scores.get(str(k.id), 0.0))
-
-        # Random tiebreak within same-score groups
-        if len(available) > 1 and lru_scores:
-            _shuffle_same_score_keys(available, lru_scores)
-
-        # --- 5. Pick the winner -----------------------------------------------
-        if sticky_key is not None:
-            logger.debug(
-                "Pool[{}]: sticky select key={}",
-                pid[:8],
-                sticky_key_id and sticky_key_id[:8],
-            )
-            return sticky_key
-
-        return available[0] if available else None
-
     # ------------------------------------------------------------------
     # Post-request hooks
     # ------------------------------------------------------------------
@@ -799,10 +619,3 @@ def _shuffle_same_score_groups(
     lru_scores: dict[str, float],
 ) -> None:
     _shuffle_same_score(candidates, lru_scores, lambda c: str(c.key.id))
-
-
-def _shuffle_same_score_keys(
-    keys: list[ProviderAPIKey],
-    lru_scores: dict[str, float],
-) -> None:
-    _shuffle_same_score(keys, lru_scores, lambda k: str(k.id))

src/services/usage/query.py

@@ -4,13 +4,28 @@ from dataclasses import dataclass
 from datetime import datetime, timedelta, timezone
 from typing import Any
 
-from sqlalchemy import case, func
+from sqlalchemy import Case, case, func
 from sqlalchemy.orm import Session
 
 from src.core.logger import logger
 from src.models.database import ApiKey, Usage, User
 
 
+def input_context_expr() -> Case:
+    """构造 SQL CASE 表达式，根据 api_format 精确计算每条记录的总输入上下文 token 数。
+
+    - OpenAI/Gemini: input_tokens 已包含 cache_read_input_tokens，直接使用
+    - Claude/未知: input_tokens 不含 cache_read，需要加上
+    """
+    return case(
+        (
+            Usage.api_format.like("openai:%") | Usage.api_format.like("gemini:%"),
+            Usage.input_tokens,
+        ),
+        else_=Usage.input_tokens + Usage.cache_read_input_tokens,
+    )
+
+
 @dataclass(slots=True)
 class RequestBalanceCheckResult:
     allowed: bool
@@ -245,6 +260,8 @@ class UsageQueryMixin:
             func.sum(Usage.input_tokens).label("input_tokens"),
             func.sum(Usage.output_tokens).label("output_tokens"),
             func.sum(Usage.total_tokens).label("total_tokens"),
+            func.sum(Usage.cache_read_input_tokens).label("cache_read_tokens"),
+            func.sum(input_context_expr()).label("total_input_context"),
             func.sum(Usage.total_cost_usd).label("total_cost_usd"),
             func.sum(Usage.actual_total_cost_usd).label("actual_total_cost_usd"),
             func.sum(case((Usage.status_code == 200, 1), else_=0)).label("success_count"),
@@ -289,6 +306,8 @@ class UsageQueryMixin:
                 "input_tokens": row.input_tokens,
                 "output_tokens": row.output_tokens,
                 "total_tokens": row.total_tokens,
+                "cache_read_tokens": int(row.cache_read_tokens or 0),
+                "total_input_context": int(row.total_input_context or 0),
                 "total_cost_usd": float(row.total_cost_usd or 0.0),
                 "actual_total_cost_usd": float(row.actual_total_cost_usd or 0.0),
                 "success_count": int(row.success_count or 0),

tests/api/test_user_me_usage_routes.py

@@ -19,6 +19,7 @@ async def test_get_usage_adapter_uses_coarse_summary_grouping(
     count_query.scalar.return_value = 0
     query.outerjoin.return_value = query
     query.filter.return_value = query
+    query.group_by.return_value = query
     query.with_entities.return_value = count_query
     query.options.return_value = query
     query.order_by.return_value = query
@@ -36,6 +37,8 @@ async def test_get_usage_adapter_uses_coarse_summary_grouping(
                 "input_tokens": 10,
                 "output_tokens": 5,
                 "total_tokens": 15,
+                "cache_read_tokens": 5,
+                "total_input_context": 15,
                 "total_cost_usd": 1.5,
                 "actual_total_cost_usd": 1.2,
                 "success_count": 2,
@@ -49,6 +52,8 @@ async def test_get_usage_adapter_uses_coarse_summary_grouping(
                 "input_tokens": 999,
                 "output_tokens": 999,
                 "total_tokens": 1998,
+                "cache_read_tokens": 50,
+                "total_input_context": 1049,
                 "total_cost_usd": 9.9,
                 "actual_total_cost_usd": 9.9,
                 "success_count": 0,
@@ -82,15 +87,20 @@ async def test_get_usage_adapter_uses_coarse_summary_grouping(
             "input_tokens": 10,
             "output_tokens": 5,
             "total_tokens": 15,
+            "cache_read_tokens": 5,
+            "cache_hit_rate": 33.33,
             "total_cost_usd": 1.5,
         }
     ]
+    assert result["summary_by_api_format"] == []
     assert "total_actual_cost" not in result
     assert result["summary_by_provider"] == [
         {
             "provider": "provider-a",
             "requests": 2,
             "total_tokens": 15,
+            "cache_read_tokens": 5,
+            "cache_hit_rate": 33.33,
             "total_cost_usd": 1.5,
             "success_rate": 100.0,
             "avg_response_time_ms": 500.0,
@@ -109,6 +119,7 @@ async def test_get_usage_adapter_provider_success_rate_uses_success_count(
     count_query.scalar.return_value = 0
     query.outerjoin.return_value = query
     query.filter.return_value = query
+    query.group_by.return_value = query
     query.with_entities.return_value = count_query
     query.options.return_value = query
     query.order_by.return_value = query
@@ -126,6 +137,8 @@ async def test_get_usage_adapter_provider_success_rate_uses_success_count(
                 "input_tokens": 30,
                 "output_tokens": 15,
                 "total_tokens": 45,
+                "cache_read_tokens": 15,
+                "total_input_context": 45,
                 "total_cost_usd": 4.5,
                 "actual_total_cost_usd": 4.5,
                 "success_count": 2,
@@ -139,6 +152,8 @@ async def test_get_usage_adapter_provider_success_rate_uses_success_count(
                 "input_tokens": 10,
                 "output_tokens": 5,
                 "total_tokens": 15,
+                "cache_read_tokens": 5,
+                "total_input_context": 15,
                 "total_cost_usd": 1.5,
                 "actual_total_cost_usd": 1.5,
                 "success_count": 0,
@@ -168,6 +183,8 @@ async def test_get_usage_adapter_provider_success_rate_uses_success_count(
             "provider": "provider-a",
             "requests": 4,
             "total_tokens": 60,
+            "cache_read_tokens": 20,
+            "cache_hit_rate": 33.33,
             "total_cost_usd": 6.0,
             "success_rate": 50.0,
             "avg_response_time_ms": 300.0,