feat: 添加 Dashboard 供应商成本统计功能

- 新增 stats_daily_provider 表存储每日供应商统计数据
- 实现供应商维度的数据聚合服务
- Dashboard API 返回 provider_summary 供应商汇总数据
- 前端新增 DoughnutChart 环形图组件
- Dashboard 新增供应商成本分布可视化卡片
- 移除重复的请求次数/费用趋势折线图

Closes #110

Co-authored-by: RWDai <27391645+RWDai@users.noreply.github.com>

alembic/versions/20260119_0519_c868729753ad_add_stats_daily_provider_table.py

@@ -0,0 +1,65 @@
+"""add_stats_daily_provider_table
+
+Revision ID: c868729753ad
+Revises: 33e347f97c0c
+Create Date: 2026-01-19 05:19:49.634662+00:00
+
+"""
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy import inspect
+
+
+# revision identifiers, used by Alembic.
+revision = 'c868729753ad'
+down_revision = '33e347f97c0c'
+branch_labels = None
+depends_on = None
+
+
+def table_exists(table_name: str) -> bool:
+    """检查表是否存在"""
+    bind = op.get_bind()
+    inspector = inspect(bind)
+    return table_name in inspector.get_table_names()
+
+
+def index_exists(table_name: str, index_name: str) -> bool:
+    """检查索引是否存在"""
+    bind = op.get_bind()
+    inspector = inspect(bind)
+    indexes = [idx['name'] for idx in inspector.get_indexes(table_name)]
+    return index_name in indexes
+
+
+def upgrade() -> None:
+    """应用迁移：升级到新版本"""
+    if not table_exists('stats_daily_provider'):
+        op.create_table(
+            'stats_daily_provider',
+            sa.Column('id', sa.String(length=36), nullable=False),
+            sa.Column('date', sa.DateTime(timezone=True), nullable=False),
+            sa.Column('provider_name', sa.String(length=100), nullable=False),
+            sa.Column('total_requests', sa.Integer(), nullable=False),
+            sa.Column('input_tokens', sa.BigInteger(), nullable=False),
+            sa.Column('output_tokens', sa.BigInteger(), nullable=False),
+            sa.Column('cache_creation_tokens', sa.BigInteger(), nullable=False),
+            sa.Column('cache_read_tokens', sa.BigInteger(), nullable=False),
+            sa.Column('total_cost', sa.Float(), nullable=False),
+            sa.Column('created_at', sa.DateTime(timezone=True), nullable=False),
+            sa.Column('updated_at', sa.DateTime(timezone=True), nullable=False),
+            sa.PrimaryKeyConstraint('id'),
+            sa.UniqueConstraint('date', 'provider_name', name='uq_stats_daily_provider')
+        )
+        op.create_index('idx_stats_daily_provider_date', 'stats_daily_provider', ['date'], unique=False)
+        op.create_index('idx_stats_daily_provider_date_provider', 'stats_daily_provider', ['date', 'provider_name'], unique=False)
+
+
+def downgrade() -> None:
+    """回滚迁移：降级到旧版本"""
+    if table_exists('stats_daily_provider'):
+        if index_exists('stats_daily_provider', 'idx_stats_daily_provider_date_provider'):
+            op.drop_index('idx_stats_daily_provider_date_provider', table_name='stats_daily_provider')
+        if index_exists('stats_daily_provider', 'idx_stats_daily_provider_date'):
+            op.drop_index('idx_stats_daily_provider_date', table_name='stats_daily_provider')
+        op.drop_table('stats_daily_provider')

frontend/src/api/dashboard.ts

@@ -206,6 +206,13 @@ export interface ModelSummary {
   tokens_per_request: number
 }
 
+export interface ProviderSummary {
+  provider: string
+  requests: number
+  tokens: number
+  cost: number
+}
+
 export interface DailyStat {
   date: string // ISO date string
   requests: number
@@ -220,6 +227,7 @@ export interface DailyStat {
 export interface DailyStatsResponse {
   daily_stats: DailyStat[]
   model_summary: ModelSummary[]
+  provider_summary: ProviderSummary[]
   period: {
     start_date: string
     end_date: string

frontend/src/components/charts/DoughnutChart.vue

@@ -0,0 +1,113 @@
+<template>
+  <div class="w-full h-full">
+    <canvas ref="chartRef" />
+  </div>
+</template>
+
+<script setup lang="ts">
+import { ref, onMounted, onUnmounted, watch, nextTick } from 'vue'
+import {
+  Chart as ChartJS,
+  ArcElement,
+  DoughnutController,
+  Title,
+  Tooltip,
+  Legend,
+  type ChartData,
+  type ChartOptions
+} from 'chart.js'
+
+ChartJS.register(
+  ArcElement,
+  DoughnutController,
+  Title,
+  Tooltip,
+  Legend
+)
+
+interface Props {
+  data: ChartData<'doughnut'>
+  options?: ChartOptions<'doughnut'>
+  height?: number
+}
+
+const props = withDefaults(defineProps<Props>(), {
+  height: 300,
+  options: undefined
+})
+
+const chartRef = ref<HTMLCanvasElement>()
+let chart: ChartJS<'doughnut'> | null = null
+
+const defaultOptions: ChartOptions<'doughnut'> = {
+  responsive: true,
+  maintainAspectRatio: false,
+  cutout: '60%',
+  plugins: {
+    legend: {
+      position: 'right',
+      labels: {
+        color: 'rgb(107, 114, 128)',
+        usePointStyle: true,
+        padding: 16,
+        font: { size: 11 }
+      }
+    },
+    tooltip: {
+      backgroundColor: 'rgb(31, 41, 55)',
+      titleColor: 'rgb(243, 244, 246)',
+      bodyColor: 'rgb(243, 244, 246)',
+      borderColor: 'rgb(75, 85, 99)',
+      borderWidth: 1,
+      callbacks: {
+        label: (context) => {
+          const value = context.raw as number
+          const total = (context.dataset.data as number[]).reduce((a, b) => a + b, 0)
+          const percentage = total > 0 ? ((value / total) * 100).toFixed(1) : '0'
+          return `${context.label}: $${value.toFixed(4)} (${percentage}%)`
+        }
+      }
+    }
+  }
+}
+
+function createChart() {
+  if (!chartRef.value) return
+
+  chart = new ChartJS(chartRef.value, {
+    type: 'doughnut',
+    data: props.data,
+    options: {
+      ...defaultOptions,
+      ...props.options
+    }
+  })
+}
+
+function updateChart() {
+  if (chart) {
+    chart.data = props.data
+    chart.update('none')
+  }
+}
+
+onMounted(async () => {
+  await nextTick()
+  createChart()
+})
+
+onUnmounted(() => {
+  if (chart) {
+    chart.destroy()
+    chart = null
+  }
+})
+
+watch(() => props.data, updateChart, { deep: true })
+watch(() => props.options, () => {
+  if (chart) {
+    chart.options = { ...defaultOptions, ...props.options }
+    chart.update()
+  }
+}, { deep: true })
+</script>

frontend/src/views/shared/Dashboard.vue

@@ -395,35 +395,6 @@
 
     <!-- 趋势图表区域 -->
     <div class="grid grid-cols-1 gap-6 lg:grid-cols-2">
-      <!-- 请求次数和费用趋势 -->
-      <Card class="p-5">
-        <h4 class="mb-3 text-xs font-semibold text-foreground uppercase tracking-wider">
-          请求次数 / 费用趋势
-        </h4>
-        <div
-          v-if="loadingDaily"
-          class="flex items-center justify-center h-[280px]"
-        >
-          <Skeleton class="h-full w-full" />
-        </div>
-        <div
-          v-else
-          style="height: 280px;"
-        >
-          <LineChart
-            v-if="chartData.requests"
-            :data="chartData.requests"
-            :options="chartOptions.requests"
-          />
-          <div
-            v-else
-            class="flex h-full items-center justify-center text-xs text-muted-foreground"
-          >
-            暂无数据
-          </div>
-        </div>
-      </Card>
-
       <!-- 每日模型成本（堆叠柱状图） -->
       <Card class="p-5">
         <h4 class="mb-3 text-xs font-semibold text-foreground uppercase tracking-wider">
@@ -452,6 +423,35 @@
           </div>
         </div>
       </Card>
+
+      <!-- 提供商成本分布（环形图） -->
+      <Card class="p-5">
+        <h4 class="mb-3 text-xs font-semibold text-foreground uppercase tracking-wider">
+          提供商成本分布
+        </h4>
+        <div
+          v-if="loadingDaily"
+          class="flex items-center justify-center h-[280px]"
+        >
+          <Skeleton class="h-full w-full" />
+        </div>
+        <div
+          v-else
+          style="height: 280px;"
+        >
+          <DoughnutChart
+            v-if="providerCostChartData.labels && providerCostChartData.labels.length > 0"
+            :data="providerCostChartData"
+            :options="providerCostChartOptions"
+          />
+          <div
+            v-else
+            class="flex h-full items-center justify-center text-xs text-muted-foreground"
+          >
+            暂无数据
+          </div>
+        </div>
+      </Card>
     </div>
 
     <!-- 每日统计 -->
@@ -707,7 +707,7 @@
 <script setup lang="ts">
 import { ref, onMounted, computed, onBeforeUnmount, nextTick, watch } from 'vue'
 import { useAuthStore } from '@/stores/auth'
-import { dashboardApi, type DashboardStat, type DailyStat } from '@/api/dashboard'
+import { dashboardApi, type DashboardStat, type DailyStat, type ProviderSummary } from '@/api/dashboard'
 import { announcementApi, type Announcement } from '@/api/announcements'
 import {
   Card,
@@ -722,8 +722,8 @@ import {
   TableHead,
   TableCell,
 } from '@/components/ui'
-import LineChart from '@/components/charts/LineChart.vue'
 import BarChart from '@/components/charts/BarChart.vue'
+import DoughnutChart from '@/components/charts/DoughnutChart.vue'
 import {
   Users,
   Activity,
@@ -894,6 +894,7 @@ const tokenBreakdown = ref<{
 
 const activeUsers = ref(0)
 const dailyStats = ref<DailyStat[]>([])
+const providerSummary = ref<ProviderSummary[]>([])
 const selectedDays = ref(7)
 const loadingDaily = ref(false)
 const loading = ref(false)
@@ -946,41 +947,6 @@ const totalStats = computed(() => {
   }
 })
 
-// 图表数据
-const chartData = computed(() => {
-  if (dailyStats.value.length === 0) {
-    return { requests: null }
-  }
-
-  const labels = dailyStats.value.map(stat => formatDateForChart(stat.date))
-  const requests = dailyStats.value.map(stat => stat.requests)
-  const costs = dailyStats.value.map(stat => stat.cost)
-
-  return {
-    requests: {
-      labels,
-      datasets: [
-        {
-          label: '请求次数',
-          data: requests,
-          borderColor: 'rgb(59, 130, 246)',
-          backgroundColor: 'rgba(59, 130, 246, 0.1)',
-          tension: 0.4,
-          yAxisID: 'y'
-        },
-        {
-          label: '费用 ($)',
-          data: costs,
-          borderColor: 'rgb(34, 197, 94)',
-          backgroundColor: 'rgba(34, 197, 94, 0.1)',
-          tension: 0.4,
-          yAxisID: 'y1'
-        }
-      ]
-    } as ChartData<'line'>
-  }
-})
-
 // 每日模型成本（堆叠柱状图）
 const MODEL_COLORS = [
   'rgba(59, 130, 246, 0.8)',   // blue
@@ -1077,37 +1043,58 @@ const dailyModelCostChartOptions = computed<ChartOptions<'bar'>>(() => ({
   }
 }))
 
-const chartOptions = computed(() => ({
+// 提供商成本分布（环形图）
-  requests: {
+const PROVIDER_COLORS = [
-    scales: {
+  'rgba(59, 130, 246, 0.8)',   // blue
-      y: {
+  'rgba(239, 68, 68, 0.8)',    // red
-        type: 'linear',
+  'rgba(16, 185, 129, 0.8)',   // green
-        display: true,
+  'rgba(245, 158, 11, 0.8)',   // amber
-        position: 'left',
+  'rgba(139, 92, 246, 0.8)',   // purple
-        title: { display: true, text: '请求次数', color: 'rgb(107, 114, 128)', font: { size: 10 } }
+  'rgba(6, 182, 212, 0.8)',    // cyan
-      },
+  'rgba(132, 204, 22, 0.8)',   // lime
-      y1: {
+  'rgba(249, 115, 22, 0.8)'    // orange
-        type: 'linear',
+]
-        display: true,
+
-        position: 'right',
+const providerCostChartData = computed<ChartData<'doughnut'>>(() => {
-        title: { display: true, text: '费用 ($)', color: 'rgb(107, 114, 128)', font: { size: 10 } },
+  if (providerSummary.value.length === 0) {
-        grid: { drawOnChartArea: false }
+    return { labels: [], datasets: [] }
+  }
+
+  return {
+    labels: providerSummary.value.map(p => p.provider),
+    datasets: [{
+      data: providerSummary.value.map(p => p.cost),
+      backgroundColor: providerSummary.value.map((_, i) => PROVIDER_COLORS[i % PROVIDER_COLORS.length]),
+      borderWidth: 2,
+      borderColor: 'rgba(255, 255, 255, 0.1)'
+    }]
+  }
+})
+
+const providerCostChartOptions = computed<ChartOptions<'doughnut'>>(() => ({
+  responsive: true,
+  maintainAspectRatio: false,
+  cutout: '60%',
+  plugins: {
+    legend: {
+      position: 'right',
+      labels: {
+        font: { size: 10 },
+        boxWidth: 12,
+        padding: 8
       }
     },
-    plugins: {
+    tooltip: {
-      legend: { labels: { font: { size: 11 } } },
+      callbacks: {
-      tooltip: {
+        label: (context) => {
-        callbacks: {
+          const value = context.raw as number
-          label: (context: any) => {
+          const total = (context.dataset.data as number[]).reduce((a, b) => a + b, 0)
-            const label = context.dataset.label || ''
+          const percentage = total > 0 ? ((value / total) * 100).toFixed(1) : '0'
-            const value = context.parsed.y
+          return `${context.label}: $${value.toFixed(4)} (${percentage}%)`
-            if (label.includes('费用')) return `${label}: $${value.toFixed(4)}`
-            return `${label}: ${value.toLocaleString()}`
-          }
         }
       }
     }
-  } as ChartOptions<'line'>
+  }
 }))
 
 onMounted(async () => {
@@ -1170,8 +1157,10 @@ async function loadDailyStats() {
   try {
     const response = await dashboardApi.getDailyStats(selectedDays.value)
     dailyStats.value = response.daily_stats
+    providerSummary.value = response.provider_summary || []
   } catch {
     dailyStats.value = []
+    providerSummary.value = []
   } finally {
     loadingDaily.value = false
   }

src/api/dashboard/routes.py

@@ -14,7 +14,7 @@ from src.api.base.pipeline import ApiRequestPipeline
 from src.config.constants import CacheTTL
 from src.core.enums import UserRole
 from src.database import get_db
-from src.models.database import ApiKey, Provider, RequestCandidate, StatsDaily, StatsDailyModel, Usage
+from src.models.database import ApiKey, Provider, RequestCandidate, StatsDaily, StatsDailyModel, StatsDailyProvider, Usage
 from src.models.database import User as DBUser
 from src.services.system.stats_aggregator import StatsAggregatorService
 from src.utils.cache_decorator import cache_result
@@ -1147,9 +1147,97 @@ class DashboardDailyStatsAdapter(DashboardAdapter):
             for item in formatted:
                 item["model_breakdown"] = breakdown.get(item["date"], [])
 
+        # ==================== 供应商统计 ====================
+        if is_admin:
+            # 管理员：使用预聚合数据 + 今日实时数据
+
+            # 历史数据从 stats_daily_provider 获取
+            historical_provider_stats = (
+                db.query(StatsDailyProvider)
+                .filter(and_(StatsDailyProvider.date >= start_date, StatsDailyProvider.date < today))
+                .all()
+            )
+
+            # 按供应商汇总历史数据
+            provider_agg: dict[str, dict[str, int | float]] = {}
+            for stat in historical_provider_stats:
+                provider = stat.provider_name or "Unknown"
+                if provider not in provider_agg:
+                    provider_agg[provider] = {"requests": 0, "tokens": 0, "cost": 0.0}
+                provider_agg[provider]["requests"] += stat.total_requests
+                tokens = (stat.input_tokens + stat.output_tokens +
+                          stat.cache_creation_tokens + stat.cache_read_tokens)
+                provider_agg[provider]["tokens"] += tokens
+                provider_agg[provider]["cost"] += stat.total_cost
+
+            # 今日实时供应商统计
+            today_provider_stats = (
+                db.query(
+                    Usage.provider_name,
+                    func.count(Usage.id).label("requests"),
+                    func.sum(Usage.total_tokens).label("tokens"),
+                    func.sum(Usage.total_cost_usd).label("cost"),
+                )
+                .filter(Usage.created_at >= today)
+                .group_by(Usage.provider_name)
+                .all()
+            )
+
+            for stat in today_provider_stats:
+                provider = stat.provider_name or "Unknown"
+                if provider not in provider_agg:
+                    provider_agg[provider] = {"requests": 0, "tokens": 0, "cost": 0.0}
+                provider_agg[provider]["requests"] += stat.requests or 0
+                provider_agg[provider]["tokens"] += int(stat.tokens or 0)
+                provider_agg[provider]["cost"] += float(stat.cost or 0)
+
+            # 构建 provider_summary
+            provider_summary = [
+                {
+                    "provider": provider,
+                    "requests": agg["requests"],
+                    "tokens": agg["tokens"],
+                    "cost": agg["cost"],
+                }
+                for provider, agg in provider_agg.items()
+            ]
+            provider_summary.sort(key=lambda x: x["cost"], reverse=True)
+
+        else:
+            # 普通用户：实时查询
+            provider_stats = (
+                db.query(
+                    Usage.provider_name,
+                    func.count(Usage.id).label("requests"),
+                    func.sum(Usage.total_tokens).label("tokens"),
+                    func.sum(Usage.total_cost_usd).label("cost"),
+                )
+                .filter(
+                    and_(
+                        Usage.user_id == user.id,
+                        Usage.created_at >= start_date,
+                        Usage.created_at <= end_date
+                    )
+                )
+                .group_by(Usage.provider_name)
+                .order_by(func.sum(Usage.total_cost_usd).desc())
+                .all()
+            )
+
+            provider_summary = [
+                {
+                    "provider": stat.provider_name or "Unknown",
+                    "requests": stat.requests or 0,
+                    "tokens": int(stat.tokens or 0),
+                    "cost": float(stat.cost or 0),
+                }
+                for stat in provider_stats
+            ]
+
         return {
             "daily_stats": formatted,
             "model_summary": model_summary,
+            "provider_summary": provider_summary,
             "period": {
                 "start_date": start_date.date().isoformat(),
                 "end_date": end_date.date().isoformat(),

src/models/database.py

@@ -1706,6 +1706,50 @@ class StatsDailyModel(Base):
     )
 
 
+class StatsDailyProvider(Base):
+    """每日供应商统计快照 - 用于快速查询每日供应商维度数据"""
+
+    __tablename__ = "stats_daily_provider"
+
+    id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
+
+    # 统计日期 (UTC)
+    date = Column(DateTime(timezone=True), nullable=False, index=True)
+
+    # 供应商名称
+    provider_name = Column(String(100), nullable=False)
+
+    # 请求统计
+    total_requests = Column(Integer, default=0, nullable=False)
+
+    # Token 统计
+    input_tokens = Column(BigInteger, default=0, nullable=False)
+    output_tokens = Column(BigInteger, default=0, nullable=False)
+    cache_creation_tokens = Column(BigInteger, default=0, nullable=False)
+    cache_read_tokens = Column(BigInteger, default=0, nullable=False)
+
+    # 成本统计 (USD)
+    total_cost = Column(Float, default=0.0, nullable=False)
+
+    # 时间戳
+    created_at = Column(
+        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc), nullable=False
+    )
+    updated_at = Column(
+        DateTime(timezone=True),
+        default=lambda: datetime.now(timezone.utc),
+        onupdate=lambda: datetime.now(timezone.utc),
+        nullable=False,
+    )
+
+    # 唯一约束：每个供应商每天只有一条记录
+    __table_args__ = (
+        UniqueConstraint("date", "provider_name", name="uq_stats_daily_provider"),
+        Index("idx_stats_daily_provider_date", "date"),
+        Index("idx_stats_daily_provider_date_provider", "date", "provider_name"),
+    )
+
+
 class StatsSummary(Base):
     """全局统计汇总 - 单行记录，存储截止到昨天的累计数据"""
 

src/services/system/cleanup_scheduler.py

@@ -208,7 +208,7 @@ class CleanupScheduler:
                         return
 
                     # 非首次运行，检查最近是否有缺失的日期需要回填
-                    from src.models.database import StatsDailyModel
+                    from src.models.database import StatsDailyModel, StatsDailyProvider
 
                     yesterday_business_date = today_local.date() - timedelta(days=1)
                     max_backfill_days: int = SystemConfigService.get_config(
@@ -223,6 +223,7 @@ class CleanupScheduler:
                     # 获取 StatsDaily 和 StatsDailyModel 中已有数据的日期集合
                     existing_daily_dates = set()
                     existing_model_dates = set()
+                    existing_provider_dates = set()
 
                     daily_stats = (
                         db.query(StatsDaily.date)
@@ -245,6 +246,17 @@ class CleanupScheduler:
                             stat_date = stat_date.replace(tzinfo=timezone.utc)
                         existing_model_dates.add(stat_date.astimezone(app_tz).date())
 
+                    provider_stats = (
+                        db.query(StatsDailyProvider.date)
+                        .filter(StatsDailyProvider.date >= check_start_date.isoformat())
+                        .distinct()
+                        .all()
+                    )
+                    for (stat_date,) in provider_stats:
+                        if stat_date.tzinfo is None:
+                            stat_date = stat_date.replace(tzinfo=timezone.utc)
+                        existing_provider_dates.add(stat_date.astimezone(app_tz).date())
+
                     # 找出需要回填的日期
                     all_dates = set()
                     current = check_start_date
@@ -256,15 +268,18 @@ class CleanupScheduler:
                     missing_daily_dates = all_dates - existing_daily_dates
                     # 需要回填 StatsDailyModel 的日期
                     missing_model_dates = all_dates - existing_model_dates
+                    # 需要回填 StatsDailyProvider 的日期
+                    missing_provider_dates = all_dates - existing_provider_dates
                     # 合并所有需要处理的日期
-                    dates_to_process = missing_daily_dates | missing_model_dates
+                    dates_to_process = missing_daily_dates | missing_model_dates | missing_provider_dates
 
                     if dates_to_process:
                         sorted_dates = sorted(dates_to_process)
                         logger.info(
                             f"检测到 {len(dates_to_process)} 天的统计数据需要回填 "
                             f"(StatsDaily 缺失 {len(missing_daily_dates)} 天, "
-                            f"StatsDailyModel 缺失 {len(missing_model_dates)} 天)"
+                            f"StatsDailyModel 缺失 {len(missing_model_dates)} 天, "
+                            f"StatsDailyProvider 缺失 {len(missing_provider_dates)} 天)"
                         )
 
                         users = (
@@ -288,6 +303,10 @@ class CleanupScheduler:
                                     StatsAggregatorService.aggregate_daily_model_stats(
                                         db, current_date_local
                                     )
+                                if current_date in missing_provider_dates:
+                                    StatsAggregatorService.aggregate_daily_provider_stats(
+                                        db, current_date_local
+                                    )
                                 # 用户统计在任一缺失时都回填
                                 for (user_id,) in users:
                                     try:
@@ -329,6 +348,7 @@ class CleanupScheduler:
 
                 StatsAggregatorService.aggregate_daily_stats(db, yesterday_local)
                 StatsAggregatorService.aggregate_daily_model_stats(db, yesterday_local)
+                StatsAggregatorService.aggregate_daily_provider_stats(db, yesterday_local)
 
                 users = db.query(DBUser.id).filter(DBUser.is_active.is_(True)).all()
                 for (user_id,) in users:

src/services/system/stats_aggregator.py

@@ -17,6 +17,7 @@ from src.models.database import (
     RequestCandidate,
     StatsDaily,
     StatsDailyModel,
+    StatsDailyProvider,
     StatsSummary,
     StatsUserDaily,
     Usage,
@@ -286,6 +287,68 @@ class StatsAggregatorService:
         )
         return results
 
+    @staticmethod
+    def aggregate_daily_provider_stats(db: Session, date: datetime) -> list[StatsDailyProvider]:
+        """聚合指定日期的供应商维度统计数据
+
+        Args:
+            db: 数据库会话
+            date: 要聚合的业务日期
+
+        Returns:
+            StatsDailyProvider 记录列表
+        """
+        day_start, day_end = _get_business_day_range(date)
+
+        # 按供应商分组统计
+        provider_name_expr = func.coalesce(Usage.provider_name, "Unknown")
+        provider_stats = (
+            db.query(
+                provider_name_expr.label("provider_name"),
+                func.count(Usage.id).label("total_requests"),
+                func.sum(Usage.input_tokens).label("input_tokens"),
+                func.sum(Usage.output_tokens).label("output_tokens"),
+                func.sum(Usage.cache_creation_input_tokens).label("cache_creation_tokens"),
+                func.sum(Usage.cache_read_input_tokens).label("cache_read_tokens"),
+                func.sum(Usage.total_cost_usd).label("total_cost"),
+            )
+            .filter(and_(Usage.created_at >= day_start, Usage.created_at < day_end))
+            .group_by(provider_name_expr)
+            .all()
+        )
+
+        results = []
+        for stat in provider_stats:
+            existing = (
+                db.query(StatsDailyProvider)
+                .filter(and_(StatsDailyProvider.date == day_start, StatsDailyProvider.provider_name == stat.provider_name))
+                .first()
+            )
+
+            if existing:
+                record = existing
+            else:
+                record = StatsDailyProvider(
+                    id=str(uuid.uuid4()), date=day_start, provider_name=stat.provider_name
+                )
+
+            record.total_requests = stat.total_requests or 0
+            record.input_tokens = int(stat.input_tokens or 0)
+            record.output_tokens = int(stat.output_tokens or 0)
+            record.cache_creation_tokens = int(stat.cache_creation_tokens or 0)
+            record.cache_read_tokens = int(stat.cache_read_tokens or 0)
+            record.total_cost = float(stat.total_cost or 0)
+
+            if not existing:
+                db.add(record)
+            results.append(record)
+
+        db.commit()
+        logger.info(
+            f"[StatsAggregator] 聚合日期 {date.date()} 供应商统计完成: {len(results)} 个供应商"
+        )
+        return results
+
     @staticmethod
     def get_daily_model_stats(db: Session, start_date: datetime, end_date: datetime) -> list[dict]:
         """获取日期范围内的模型统计数据（优先使用预聚合）
@@ -613,6 +676,7 @@ class StatsAggregatorService:
         while current_date < today_local:
             StatsAggregatorService.aggregate_daily_stats(db, current_date)
             StatsAggregatorService.aggregate_daily_model_stats(db, current_date)
+            StatsAggregatorService.aggregate_daily_provider_stats(db, current_date)
             count += 1
             current_date += timedelta(days=1)