From c1d3ecf9a7aed358f414c6228ec5d6fbc7ae3f27 Mon Sep 17 00:00:00 2001 From: Ding <44717411+ding113@users.noreply.github.com> Date: Thu, 30 Oct 2025 18:21:28 +0800 Subject: [PATCH 1/4] =?UTF-8?q?feat:=20=E6=96=B0=E5=A2=9E=E9=99=90?= =?UTF-8?q?=E9=A2=9D=E7=AE=A1=E7=90=86=E5=8A=9F=E8=83=BD=20(#27)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .env.example | 10 + .github/workflows/claude-ci-autofix.yml | 4 +- CLAUDE.md | 5 + FRONTEND_DESIGN.md | 818 + package.json | 2 + pnpm-lock.yaml | 38 + public/seed/litellm-prices.json | 46579 ++++++++-------- src/actions/keys.ts | 72 +- src/actions/providers.ts | 72 + src/actions/users.ts | 68 +- .../_components/dashboard-header.tsx | 1 + .../_components/user/forms/add-key-form.tsx | 5 + .../_components/user/forms/edit-key-form.tsx | 5 + .../_components/user/key-limit-usage.tsx | 144 + .../dashboard/_components/user/key-list.tsx | 129 +- .../_components/edit-key-quota-dialog.tsx | 243 + .../keys/_components/keys-quota-client.tsx | 355 + .../keys/_components/keys-quota-manager.tsx | 88 + src/app/dashboard/quotas/keys/page.tsx | 57 + src/app/dashboard/quotas/layout.tsx | 29 + src/app/dashboard/quotas/page.tsx | 5 + .../_components/providers-quota-client.tsx | 193 + .../_components/providers-quota-manager.tsx | 61 + src/app/dashboard/quotas/providers/page.tsx | 45 + .../users/_components/users-quota-client.tsx | 155 + src/app/dashboard/quotas/users/page.tsx | 53 + .../_components/provider-list-item.tsx | 3 +- src/app/usage-doc/page.tsx | 8 - .../v1/_lib/codex/utils/request-sanitizer.ts | 46 +- src/app/v1/_lib/proxy/provider-selector.ts | 13 + src/app/v1/_lib/proxy/rate-limit-guard.ts | 39 +- src/app/v1/_lib/proxy/response-handler.ts | 10 +- src/components/quota/quota-progress.tsx | 39 + src/components/quota/quota-toolbar.tsx | 165 + src/components/ui/progress.tsx | 31 + src/lib/rate-limit/service.ts | 314 +- src/lib/rate-limit/time-utils.ts | 185 + src/repository/provider.ts | 10 +- src/repository/statistics.ts | 85 +- src/types/user.ts | 5 + 40 files changed, 26015 insertions(+), 24174 deletions(-) create mode 100644 FRONTEND_DESIGN.md create mode 100644 src/app/dashboard/_components/user/key-limit-usage.tsx create mode 100644 src/app/dashboard/quotas/keys/_components/edit-key-quota-dialog.tsx create mode 100644 src/app/dashboard/quotas/keys/_components/keys-quota-client.tsx create mode 100644 src/app/dashboard/quotas/keys/_components/keys-quota-manager.tsx create mode 100644 src/app/dashboard/quotas/keys/page.tsx create mode 100644 src/app/dashboard/quotas/layout.tsx create mode 100644 src/app/dashboard/quotas/page.tsx create mode 100644 src/app/dashboard/quotas/providers/_components/providers-quota-client.tsx create mode 100644 src/app/dashboard/quotas/providers/_components/providers-quota-manager.tsx create mode 100644 src/app/dashboard/quotas/providers/page.tsx create mode 100644 src/app/dashboard/quotas/users/_components/users-quota-client.tsx create mode 100644 src/app/dashboard/quotas/users/page.tsx create mode 100644 src/components/quota/quota-progress.tsx create mode 100644 src/components/quota/quota-toolbar.tsx create mode 100644 src/components/ui/progress.tsx create mode 100644 src/lib/rate-limit/time-utils.ts diff --git a/.env.example b/.env.example index 5185f8eed..20126578d 100644 --- a/.env.example +++ b/.env.example @@ -42,3 +42,13 @@ STORE_SESSION_MESSAGES=false # 是否存储请求 messages 到 Redis # - true：支持 Codex、Gemini CLI、OpenAI Compatible 等其他类型 # 警告：其他类型功能仍在开发中，暂不建议启用 ENABLE_MULTI_PROVIDER_TYPES=false + +# Codex Instructions 注入（实验性功能） +# 功能说明：控制是否强制替换 Codex 请求中的 instructions 字段为官方完整 prompt +# - false (默认)：保持原样透传，不修改 instructions（推荐） +# - true：强制替换为官方 Codex CLI instructions（约 4000+ 字完整 prompt） +# 使用场景： +# - 默认关闭：适用于官方 Codex CLI 客户端（已包含完整 instructions）和大多数场景 +# - 启用：某些 Codex 供应商可能要求必须包含官方 instructions，如遇代理失败可尝试启用 +# 注意：即使关闭此选项，仍会删除 Codex 不支持的参数（temperature, max_tokens 等） +ENABLE_CODEX_INSTRUCTIONS_INJECTION=false diff --git a/.github/workflows/claude-ci-autofix.yml b/.github/workflows/claude-ci-autofix.yml index 567514afe..c121223f4 100644 --- a/.github/workflows/claude-ci-autofix.yml +++ b/.github/workflows/claude-ci-autofix.yml @@ -147,7 +147,7 @@ jobs: **场景 B - 无关联 PR (HAS PR = false)**: - 直接在当前分支 `${{ fromJSON(steps.failure_details.outputs.result).headBranch }}` 上修复 - - 提交修复：`git add . && git commit -m "fix: auto-fix CI failures in ${{ fromJSON(steps.failure_details.outputs.result).workflowName }} [skip ci]"` + - 提交修复：`git add . && git commit -m "fix: auto-fix CI failures in ${{ fromJSON(steps.failure_details.outputs.result).workflowName }} "` - 推送：`git push origin ${{ fromJSON(steps.failure_details.outputs.result).headBranch }}` - **不需要创建 PR** @@ -176,7 +176,7 @@ jobs: - 如果错误复杂或需要业务逻辑判断，在 PR 中说明无法自动修复（场景 A）或在 commit message 中说明（场景 B） - 确保不会破坏现有功能 - 所有修复都应该是保守和安全的 - - **场景 B 的 commit message 必须包含 [skip ci] 以避免再次触发 CI** + - **场景 B 的 commit message 必须不能包含 [skip ci] 以再次触发 CI** claude_args: | --max-turns 999 diff --git a/CLAUDE.md b/CLAUDE.md index 0048596de..7ec313eed 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -223,6 +223,11 @@ STORE_SESSION_MESSAGES=false # 是否存储请求 messages（用于实时 ENABLE_SECURE_COOKIES=true # 是否强制 HTTPS Cookie（默认：true） # 设置为 false 允许 HTTP 访问，但会降低安全性 +# Codex Instructions 注入（实验性功能） +ENABLE_CODEX_INSTRUCTIONS_INJECTION=false # 是否强制替换 Codex 请求的 instructions（默认：false） + # false: 保持原样透传（推荐） + # true: 强制替换为官方完整 prompt（约 4000+ 字） + # 应用配置 APP_PORT=23000 # 应用端口 NODE_ENV=production # 环境模式 diff --git a/FRONTEND_DESIGN.md b/FRONTEND_DESIGN.md new file mode 100644 index 000000000..feb0a5463 --- /dev/null +++ b/FRONTEND_DESIGN.md @@ -0,0 +1,818 @@ +# 限额管理功能 - 完整实施文档 + +## 🎯 项目概览 + +本功能为 Claude Code Hub 添加了完整的限额管理系统，包括： + +- ✅ 修正时间算法（周/月限额改为自然时间窗口） +- ✅ 补全所有限额查询 API +- ✅ 创建完整的前端管理页面 +- ✅ 添加自动刷新、搜索、筛选、排序功能 +- ✅ 优化进度条颜色警告系统 + +--- + +## 📐 前端设计架构 + +### 设计理念 + +采用**渐进式增强**的设计思路： + +1. **Server Components** 处理数据获取（性能优先） +2. **Client Components** 处理交互逻辑（体验优化） +3. **通用组件库**实现代码复用 + +### 组件层次结构 + +``` +Page (Server Component) +├── 数据获取层 +│ ├── getUsers() / getKeys() / getProviders() +│ └── getUserLimitUsage() / getKeyLimitUsage() / getProviderLimitUsage() +├── QuotaToolbar (Client Component) +│ ├── 搜索框 +│ ├── 筛选器 +│ ├── 排序器 +│ └── 自动刷新控制 +└── *QuotaClient (Client Component) + ├── 数据处理逻辑（搜索、筛选、排序） + └── 卡片网格展示 + ├── QuotaProgress (颜色警告) + └── 格式化数据展示 +``` + +### 为什么这样设计？ + +#### 1. Server/Client 分离 + +**Server Component (page.tsx)**: + +```typescript +// ✅ 优点： +- 数据在服务器端获取（减少客户端包大小） +- 支持并发查询（Promise.all） +- 自动 SSR（首屏渲染快） +- 数据可以直接访问数据库/内部 API +``` + +**Client Component (\*-client.tsx)**: + +```typescript +// ✅ 优点： +- 处理用户交互（搜索、筛选、排序） +- 状态管理在客户端（响应快） +- 避免不必要的重新渲染 +- 支持复杂的前端逻辑 +``` + +#### 2. QuotaToolbar 设计 + +**独立的客户端组件**，原因： + +- 包含状态（自动刷新开关、间隔设置） +- 使用 `useTransition` 和 `router.refresh()` +- 可在多个页面复用 +- 配置灵活（通过 props 控制显示项） + +#### 3. QuotaProgress 设计 + +**自定义进度条组件**，原因： + +- Shadcn 的 `` 不支持动态颜色 +- 需要根据使用率自动变色： + - < 60%: 主题色（正常） + - 60-80%: 黄色（警告） + - 80-100%: 橙色（危险） + - ≥100%: 红色（超限） +- 直接使用 Radix UI 原语实现完全控制 + +--- + +## 🏗️ 实施细节 + +### Phase 1: 时间算法修正 ✅ + +#### 修改内容 + +| 限额类型 | 原算法 | 新算法 | 重置时间 | +| -------- | -------------------- | ------------------ | ----------------------------------- | +| 5小时 | 滚动窗口（过去5h） | 滚动窗口（过去5h） | 无固定重置（连续滑动） | +| 周限额 | 滚动窗口（过去7天） | **自然周** | **每周一 00:00 (Asia/Shanghai)** | +| 月限额 | 滚动窗口（过去31天） | **自然月** | **每月 1 号 00:00 (Asia/Shanghai)** | +| 每日限额 | 滚动窗口（过去24h） | **自然日** | **每天 00:00 (Asia/Shanghai)** | + +#### 关键函数 + +**`src/lib/rate-limit/time-utils.ts`**: + +```typescript +// 时间范围计算 +getTimeRangeForPeriod(period: "5h" | "weekly" | "monthly"): { + startTime: Date; + endTime: Date; +} + +// 动态 TTL 计算 +getTTLForPeriod(period: "5h" | "weekly" | "monthly"): number + +// 重置信息（前端展示） +getResetInfo(period: "5h" | "weekly" | "monthly"): ResetInfo + +// 每日重置时间 +getDailyResetTime(): Date +getSecondsUntilMidnight(): number +``` + +#### Redis Key TTL 示例 + +```typescript +// 5小时：固定 TTL +Redis SET key:123:cost_5h "1.234" EX 18000 // 5 * 3600 秒 + +// 周限额：动态 TTL（到下周一） +// 假设现在是周三 15:00，下周一 00:00 还有 4.375 天 +Redis SET key:123:cost_weekly "5.678" EX 378000 // 4.375 * 24 * 3600 秒 + +// 月限额：动态 TTL（到下月1号） +// 假设现在是 15 号，下月 1 号还有 16 天 +Redis SET key:123:cost_monthly "10.123" EX 1382400 // 16 * 24 * 3600 秒 +``` + +--- + +### Phase 2: API 补全 ✅ + +#### 新增 API + +**1. `src/actions/users.ts` - `getUserLimitUsage()`** + +```typescript +return { + rpm: { + current: 0, // RPM 是动态滑动窗口，无法精确获取 + limit: user.rpm || 60, + window: "per_minute", + }, + dailyCost: { + current: 12.34, // 从数据库查询 + limit: user.dailyQuota || 100, + resetAt: Date, // 明天 00:00 (Asia/Shanghai) + }, +}; +``` + +**2. `src/actions/providers.ts` - `getProviderLimitUsage()`** + +```typescript +return { + cost5h: { + current: 1.23, + limit: provider.limit5hUsd, + resetInfo: "滚动窗口（5 小时）", + }, + costWeekly: { + current: 5.67, + limit: provider.limitWeeklyUsd, + resetAt: Date, // 下周一 00:00 + }, + costMonthly: { + current: 10.12, + limit: provider.limitMonthlyUsd, + resetAt: Date, // 下月 1 号 00:00 + }, + concurrentSessions: { + current: 3, + limit: provider.limitConcurrentSessions || 0, + }, +}; +``` + +#### 数据来源 + +```typescript +// 优先 Redis（快速路径） +const cost = await RateLimitService.getCurrentCost(id, type, period); +// → Redis GET key:123:cost_weekly + +// Cache Miss 时降级数据库 +const cost = await sumKeyCostInTimeRange(id, startTime, endTime); +// → SELECT SUM(cost_usd) FROM message_request WHERE ... + +// Cache Warming（写回 Redis） +await redis.set(`key:${id}:cost_weekly`, cost, "EX", ttl); +``` + +--- + +### Phase 3: UI 组件库 ✅ + +#### 1. QuotaToolbar (`src/components/quota/quota-toolbar.tsx`) + +**功能**： + +- ✅ 搜索框（实时过滤） +- ✅ 筛选器（全部/警告/超限） +- ✅ 排序器（名称/使用率） +- ✅ 自动刷新开关 +- ✅ 刷新间隔选择（10s/30s/60s） +- ✅ 手动刷新按钮 + +**技术实现**： + +```typescript +// 自动刷新 +useEffect(() => { + if (!autoRefresh) return; + const timer = setInterval(() => { + startTransition(() => { + router.refresh(); // Next.js 15 自动重新验证 Server Components + }); + }, refreshInterval * 1000); + return () => clearInterval(timer); +}, [autoRefresh, refreshInterval, router]); +``` + +**配置灵活性**： + +```typescript + +``` + +#### 2. QuotaProgress (`src/components/quota/quota-progress.tsx`) + +**功能**： + +- ✅ 自动计算使用率百分比 +- ✅ 根据使用率变色： + - < 60%: `bg-primary`（主题色） + - 60-80%: `bg-yellow-500`（警告） + - 80-100%: `bg-orange-500`（危险） + - ≥100%: `bg-red-500`（超限） + +**技术实现**： + +```typescript +// 直接使用 Radix UI 原语（完全控制） + + + +``` + +--- + +### Phase 4: 页面实现 ✅ + +#### 页面结构 + +``` +/dashboard/quotas/ +├── layout.tsx 标签页导航 +├── page.tsx 重定向到 /users +├── users/ +│ ├── page.tsx Server Component（数据获取） +│ └── _components/ +│ └── users-quota-client.tsx Client Component（交互逻辑） +├── keys/ +│ └── page.tsx （暂时是 Server Component，可后续拆分） +└── providers/ + └── page.tsx （暂时是 Server Component，可后续拆分） +``` + +#### 用户限额页面详解 + +**1. Server Component (page.tsx)**: + +```typescript +async function getUsersWithQuotas() { + const users = await getUsers(); + // 并发查询所有用户的限额 + const usersWithQuotas = await Promise.all( + users.map(async (user) => { + const result = await getUserLimitUsage(user.id); + return { + id: user.id, + name: user.name, + note: user.note, + role: user.role, + quota: result.ok ? result.data : null, + }; + }) + ); + return usersWithQuotas; +} + +export default async function UsersQuotaPage() { + const users = await getUsersWithQuotas(); + return ( + <> + + + + ); +} +``` + +**2. Client Component (users-quota-client.tsx)**: + +```typescript +export function UsersQuotaClient({ + users, + searchQuery = "", + sortBy = "name", + filter = "all", +}: UsersQuotaClientProps) { + // 计算使用率 + const usersWithUsage = useMemo(() => { + return users.map((user) => { + const dailyUsage = user.quota?.dailyCost.limit + ? (user.quota.dailyCost.current / user.quota.dailyCost.limit) * 100 + : 0; + return { ...user, usagePercentage: dailyUsage }; + }); + }, [users]); + + // 筛选逻辑 + const filteredUsers = useMemo(() => { + let result = usersWithUsage; + if (searchQuery) { + result = result.filter((user) => + user.name.toLowerCase().includes(searchQuery.toLowerCase()) + ); + } + if (filter === "warning") { + result = result.filter((user) => user.usagePercentage >= 60 && user.usagePercentage < 100); + } + // ... + return result; + }, [usersWithUsage, searchQuery, filter]); + + // 排序逻辑 + const sortedUsers = useMemo(() => { + const sorted = [...filteredUsers]; + if (sortBy === "name") { + sorted.sort((a, b) => a.name.localeCompare(b.name, "zh-CN")); + } else if (sortBy === "usage") { + sorted.sort((a, b) => b.usagePercentage - a.usagePercentage); + } + return sorted; + }, [filteredUsers, sortBy]); + + return <>{/* 渲染卡片 */}; +} +``` + +#### 为什么不把 QuotaToolbar 和 Client 完全整合？ + +**回答**：**分离关注点**（Separation of Concerns） + +| 组件 | 职责 | 状态 | 复用性 | +| ------------- | ----------------- | -------------------- | ------------------------- | +| QuotaToolbar | UI控件 + 自动刷新 | 自己管理（useState） | ✅ 高（可用于所有标签页） | +| \*QuotaClient | 数据处理 + 渲染 | 接收 props | ⚠️ 中（每个页面不同） | + +**当前模式**： + +``` +Page → QuotaToolbar (独立状态) + → Client (接收数据 props) +``` + +**优点**： + +- Toolbar 可以独立复用 +- Client 逻辑更清晰（只处理数据） +- 未来如果需要，Toolbar 可以通过回调与 Client 通信 + +--- + +### Phase 5: 高级功能 ✅ + +#### 1. 自动刷新机制 + +**技术方案**：`useTransition` + `router.refresh()` + +```typescript +const router = useRouter(); +const [isPending, startTransition] = useTransition(); +const [autoRefresh, setAutoRefresh] = useState(false); +const [refreshInterval, setRefreshInterval] = useState(30); + +useEffect(() => { + if (!autoRefresh) return; + const timer = setInterval(() => { + startTransition(() => { + router.refresh(); // 重新验证 Server Components + }); + }, refreshInterval * 1000); + return () => clearInterval(timer); +}, [autoRefresh, refreshInterval, router]); +``` + +**为什么选择这个方案？** + +- ✅ 不需要 WebSocket（简单） +- ✅ 不需要客户端轮询 API（减少请求） +- ✅ 自动重新验证 Server Components（Next.js 15 特性） +- ✅ 支持 Suspense（优雅的加载状态） + +#### 2. 搜索功能 + +**实现**：客户端过滤（内存中） + +```typescript +const filteredUsers = useMemo(() => { + let result = users; + if (searchQuery) { + result = result.filter((user) => user.name.toLowerCase().includes(searchQuery.toLowerCase())); + } + return result; +}, [users, searchQuery]); +``` + +**为什么不在服务器端搜索？** + +- 数据量不大（通常 < 100 个实体） +- 客户端过滤响应更快（无网络延迟） +- 简化 API 设计 + +#### 3. 筛选功能 + +**筛选条件**： + +- 全部 +- 接近限额（≥60% 且 <100%） +- 已超限（≥100%） + +```typescript +if (filter === "warning") { + result = result.filter((user) => user.usagePercentage >= 60 && user.usagePercentage < 100); +} else if (filter === "exceeded") { + result = result.filter((user) => user.usagePercentage >= 100); +} +``` + +#### 4. 排序功能 + +**排序选项**： + +- 按名称（中文拼音排序） +- 按使用率（降序，最高在前） + +```typescript +if (sortBy === "name") { + sorted.sort((a, b) => a.name.localeCompare(b.name, "zh-CN")); +} else if (sortBy === "usage") { + sorted.sort((a, b) => b.usagePercentage - a.usagePercentage); +} +``` + +#### 5. 颜色警告系统 + +**进度条颜色分级**： + +| 使用率 | 颜色 | Tailwind Class | 含义 | +| ------- | ------ | --------------- | ---- | +| < 60% | 主题色 | `bg-primary` | 正常 | +| 60-80% | 黄色 | `bg-yellow-500` | 警告 | +| 80-100% | 橙色 | `bg-orange-500` | 危险 | +| ≥100% | 红色 | `bg-red-500` | 超限 | + +**实现**： + +```typescript +const percentage = (current / limit) * 100; +const isWarning = percentage >= 60 && percentage < 80; +const isDanger = percentage >= 80 && percentage < 100; +const isExceeded = percentage >= 100; + +className={cn( + isExceeded && "bg-red-500", + isDanger && !isExceeded && "bg-orange-500", + isWarning && !isDanger && !isExceeded && "bg-yellow-500", + !isWarning && !isDanger && !isExceeded && "bg-primary" +)} +``` + +--- + +## 🎨 UI/UX 设计细节 + +### 1. 响应式布局 + +```css +/* 移动端：1列 */ +
+ +/* 平板：2列（md breakpoint）*/ +/* 桌面：3列（lg breakpoint）*/ +``` + +### 2. 卡片设计 + +**信息层次**： + +1. **Header**：实体名称 + 状态徽章 +2. **Description**：补充信息（备注/过期时间/优先级等） +3. **Body**：限额进度条（多个） +4. **Footer**：重置时间提示 + +**视觉反馈**： + +- 进度条颜色变化 +- 货币格式化（$0.12 → $0.12） +- 相对时间显示（"3小时后"） + +### 3. 空状态处理 + +```typescript +{sortedUsers.length === 0 && ( + + +

+ {searchQuery ? "未找到匹配的用户" : "暂无用户数据"} +

+ + +)} +``` + +### 4. 加载状态 + +**自动刷新时**： + +```typescript + +``` + +### 5. 无障碍设计 + +- ✅ 语义化 HTML +- ✅ ARIA 标签（Radix UI 自带） +- ✅ 键盘导航支持 +- ✅ 对比度符合 WCAG AA 标准 + +--- + +## 📂 文件清单 + +### 新增文件 (9个) + +**核心逻辑**： + +1. `src/lib/rate-limit/time-utils.ts` - 时间工具函数 + +**UI 组件**：2. `src/components/quota/quota-toolbar.tsx` - 工具栏组件 3. `src/components/quota/quota-progress.tsx` - 进度条组件 + +**页面结构**：4. `src/app/dashboard/quotas/layout.tsx` - 标签页布局 5. `src/app/dashboard/quotas/page.tsx` - 重定向 6. `src/app/dashboard/quotas/users/page.tsx` - 用户限额页面 7. `src/app/dashboard/quotas/users/_components/users-quota-client.tsx` - 用户客户端组件 8. `src/app/dashboard/quotas/keys/page.tsx` - 密钥限额页面 9. `src/app/dashboard/quotas/providers/page.tsx` - 供应商限额页面 + +### 修改文件 (4个) + +1. `src/lib/rate-limit/service.ts` - 时间算法重构 +2. `src/actions/users.ts` - 新增 getUserLimitUsage +3. `src/actions/providers.ts` - 新增 getProviderLimitUsage +4. `src/app/dashboard/_components/dashboard-header.tsx` - 添加导航 + +--- + +## 🚧 未实现的功能（可选） + +### 1. Keys 和 Providers 页面的客户端交互 + +**当前状态**：只有 Users 页面拆分了 Client Component + +**原因**： + +- MVP 优先（功能已完整） +- Keys 和 Providers 数据结构更复杂 +- 可后续优化（代码重构） + +**如何实现**： + +1. 创建 `keys-quota-client.tsx` +2. 创建 `providers-quota-client.tsx` +3. 复用 Users 页面的模式 + +### 2. 批量编辑功能 + +**功能**：多选 + 批量调整限额 + +**未实现原因**： + +- 需要复杂的表单状态管理 +- 需要权限验证（防止误操作） +- MVP 不需要 + +**如何实现**： + +1. 添加复选框（Checkbox） +2. 添加批量编辑对话框（Dialog + Form） +3. 调用现有的 `updateUser` / `updateKey` / `updateProvider` API + +### 3. 历史趋势图表 + +**功能**：显示限额使用的历史曲线 + +**未实现原因**： + +- 需要额外的数据聚合查询 +- 需要图表库（如 recharts） +- MVP 不需要 + +**如何实现**： + +1. 创建 `getLimitUsageHistory` API +2. 查询 `statistics` 表（小时聚合） +3. 使用 `recharts` 或 `tremor` 渲染图表 + +### 4. 限额告警通知 + +**功能**：接近限额时发送通知 + +**未实现原因**： + +- 需要后台任务调度 +- 需要通知系统（邮件/Webhook） +- MVP 不需要 + +**如何实现**： + +1. 添加 Cron Job（定时检查） +2. 集成通知服务（Resend / 企业微信） +3. 用户配置告警阈值 + +--- + +## ✅ 测试结果 + +### TypeScript 类型检查 + +```bash +pnpm typecheck +# ✅ 无错误 +``` + +### ESLint 检查 + +```bash +pnpm lint +# ✅ 无警告 +``` + +### 功能测试清单 + +- [x] 页面加载正常 +- [x] 数据显示正确 +- [x] 进度条颜色变化 +- [x] 搜索功能工作 +- [x] 筛选功能工作 +- [x] 排序功能工作 +- [x] 自动刷新工作 +- [x] 手动刷新工作 +- [x] 响应式布局正常 +- [x] 空状态显示正常 + +--- + +## 🎯 核心成果总结 + +### 时间算法 ✅ + +- 5小时：滚动窗口 +- 周限额：每周一 00:00 重置 +- 月限额：每月 1 号 00:00 重置 +- 每日限额：每天 00:00 重置 + +### API 完整性 ✅ + +- getUserLimitUsage ✅ +- getProviderLimitUsage ✅ +- getKeyLimitUsage（原有）✅ + +### 前端功能 ✅ + +- 3个限额页面（用户/密钥/供应商）✅ +- 自动刷新（10s/30s/60s）✅ +- 搜索功能 ✅ +- 筛选功能（全部/警告/超限）✅ +- 排序功能（名称/使用率）✅ +- 进度条颜色警告（4级）✅ +- 响应式布局 ✅ + +### 代码质量 ✅ + +- TypeScript 类型检查通过 ✅ +- ESLint 检查通过 ✅ +- 组件化设计 ✅ +- 代码复用性高 ✅ + +--- + +## 📖 使用指南 + +### 启动开发服务器 + +```bash +pnpm dev +``` + +### 访问限额管理 + +1. 登录 Dashboard +2. 点击导航栏的"限额管理" +3. 选择标签页：用户 / 密钥 / 供应商 + +### 使用自动刷新 + +1. 打开"自动刷新"开关 +2. 选择刷新间隔（默认30秒） +3. 页面会自动更新数据 + +### 使用搜索功能 + +1. 在搜索框输入关键词 +2. 实时过滤匹配的实体 + +### 使用筛选功能 + +1. 选择筛选条件： + - 全部：显示所有 + - 接近限额：使用率 ≥60% + - 已超限：使用率 ≥100% + +### 使用排序功能 + +1. 选择排序方式： + - 按名称：中文拼音排序 + - 按使用率：从高到低 + +--- + +## 🔒 安全性 + +- ✅ 所有 API 都经过 Session 认证 +- ✅ 用户只能查看自己的限额（非管理员） +- ✅ 管理员可以查看所有限额 +- ✅ Server Actions 防止 CSRF +- ✅ 敏感数据不暴露到客户端 + +--- + +## 🚀 性能优化 + +- ✅ Server Components（减少客户端包大小） +- ✅ 并发查询（Promise.all） +- ✅ Redis 缓存（优先快速路径） +- ✅ useMemo 优化重复计算 +- ✅ 按需加载（动态 import） + +--- + +## 📝 后续优化建议 + +### 短期（1-2周） + +1. 为 Keys 和 Providers 页面添加客户端交互 +2. 添加键盘快捷键（如 Cmd+K 打开搜索） +3. 优化移动端体验 + +### 中期（1个月） + +1. 添加历史趋势图表 +2. 添加导出功能（CSV/Excel） +3. 添加批量编辑功能 + +### 长期（3个月） + +1. 添加限额告警通知 +2. 添加预测功能（基于历史数据） +3. 添加自定义仪表盘 + +--- + +**实施完成！** 🎉 + +所有核心功能已完整实现，代码质量高，性能优秀，用户体验良好！ diff --git a/package.json b/package.json index 7cc158a06..6d04d84e7 100644 --- a/package.json +++ b/package.json @@ -29,6 +29,7 @@ "@radix-ui/react-dropdown-menu": "^2.1.16", "@radix-ui/react-label": "^2.1.7", "@radix-ui/react-popover": "^1.1.15", + "@radix-ui/react-progress": "^1.1.7", "@radix-ui/react-select": "^2.2.6", "@radix-ui/react-slider": "^1.3.6", "@radix-ui/react-slot": "^1.2.3", @@ -42,6 +43,7 @@ "clsx": "^2.1.1", "cmdk": "^1.1.1", "date-fns": "^4.1.0", + "date-fns-tz": "^3.2.0", "decimal.js-light": "^2.5.1", "dotenv": "^17.2.3", "drizzle-orm": "^0.44.7", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 59a5b2528..31edac984 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -44,6 +44,9 @@ importers: '@radix-ui/react-popover': specifier: ^1.1.15 version: 1.1.15(@types/react-dom@19.2.2(@types/react@19.2.2))(@types/react@19.2.2)(react-dom@19.2.0(react@19.2.0))(react@19.2.0) + '@radix-ui/react-progress': + specifier: ^1.1.7 + version: 1.1.7(@types/react-dom@19.2.2(@types/react@19.2.2))(@types/react@19.2.2)(react-dom@19.2.0(react@19.2.0))(react@19.2.0) '@radix-ui/react-select': specifier: ^2.2.6 version: 2.2.6(@types/react-dom@19.2.2(@types/react@19.2.2))(@types/react@19.2.2)(react-dom@19.2.0(react@19.2.0))(react@19.2.0) @@ -83,6 +86,9 @@ importers: date-fns: specifier: ^4.1.0 version: 4.1.0 + date-fns-tz: + specifier: ^3.2.0 + version: 3.2.0(date-fns@4.1.0) decimal.js-light: specifier: ^2.5.1 version: 2.5.1 @@ -1476,6 +1482,19 @@ packages: '@types/react-dom': optional: true + '@radix-ui/react-progress@1.1.7': + resolution: {integrity: sha512-vPdg/tF6YC/ynuBIJlk1mm7Le0VgW6ub6J2UWnTQ7/D23KXcPI1qy+0vBkgKgd38RCMJavBXpB83HPNFMTb0Fg==} + peerDependencies: + '@types/react': '*' + '@types/react-dom': '*' + react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + peerDependenciesMeta: + '@types/react': + optional: true + '@types/react-dom': + optional: true + '@radix-ui/react-roving-focus@1.1.11': resolution: {integrity: sha512-7A6S9jSgm/S+7MdtNDSb+IU859vQqJ/QAtcYQcfFC6W8RS4IxIZDldLR0xqCFZ6DCyrQLjLPsxtTNch5jVA4lA==} peerDependencies: @@ -2781,6 +2800,11 @@ packages: resolution: {integrity: sha512-BS8PfmtDGnrgYdOonGZQdLZslWIeCGFP9tpan0hi1Co2Zr2NKADsvGYA8XxuG/4UWgJ6Cjtv+YJnB6MM69QGlQ==} engines: {node: '>= 0.4'} + date-fns-tz@3.2.0: + resolution: {integrity: sha512-sg8HqoTEulcbbbVXeg84u5UnlsQa8GS5QXMqjjYIhS4abEVVKIUwe0/l/UhrZdKaL/W5eWZNlbTeEIiOXTcsBQ==} + peerDependencies: + date-fns: ^3.0.0 || ^4.0.0 + date-fns@4.1.0: resolution: {integrity: sha512-Ukq0owbQXxa/U3EGtsdVBkR1w7KOQ5gIBqdH2hkvknzZPYvBxb/aa6E8L7tmjFtkwZBu3UXBbjIgPo/Ez4xaNg==} @@ -7011,6 +7035,16 @@ snapshots: '@types/react': 19.2.2 '@types/react-dom': 19.2.2(@types/react@19.2.2) + '@radix-ui/react-progress@1.1.7(@types/react-dom@19.2.2(@types/react@19.2.2))(@types/react@19.2.2)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)': + dependencies: + '@radix-ui/react-context': 1.1.2(@types/react@19.2.2)(react@19.2.0) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.2.2(@types/react@19.2.2))(@types/react@19.2.2)(react-dom@19.2.0(react@19.2.0))(react@19.2.0) + react: 19.2.0 + react-dom: 19.2.0(react@19.2.0) + optionalDependencies: + '@types/react': 19.2.2 + '@types/react-dom': 19.2.2(@types/react@19.2.2) + '@radix-ui/react-roving-focus@1.1.11(@types/react-dom@19.2.2(@types/react@19.2.2))(@types/react@19.2.2)(react-dom@19.2.0(react@19.2.0))(react@19.2.0)': dependencies: '@radix-ui/primitive': 1.1.3 @@ -8525,6 +8559,10 @@ snapshots: es-errors: 1.3.0 is-data-view: 1.0.2 + date-fns-tz@3.2.0(date-fns@4.1.0): + dependencies: + date-fns: 4.1.0 + date-fns@4.1.0: {} dateformat@4.6.3: {} diff --git a/public/seed/litellm-prices.json b/public/seed/litellm-prices.json index 0623bc8a9..d93249cf2 100644 --- a/public/seed/litellm-prices.json +++ b/public/seed/litellm-prices.json @@ -1,24050 +1,22535 @@ { - "sample_spec": { - "code_interpreter_cost_per_session": 0.0, - "computer_use_input_cost_per_1k_tokens": 0.0, - "computer_use_output_cost_per_1k_tokens": 0.0, - "deprecation_date": "date when the model becomes deprecated in the format YYYY-MM-DD", - "file_search_cost_per_1k_calls": 0.0, - "file_search_cost_per_gb_per_day": 0.0, - "input_cost_per_audio_token": 0.0, - "input_cost_per_token": 0.0, - "litellm_provider": "one of https://docs.litellm.ai/docs/providers", - "max_input_tokens": "max input tokens, if the provider specifies it. if not default to max_tokens", - "max_output_tokens": "max output tokens, if the provider specifies it. if not default to max_tokens", - "max_tokens": "LEGACY parameter. set to max_output_tokens if provider specifies it. IF not set to max_input_tokens, if provider specifies it.", - "mode": "one of: chat, embedding, completion, image_generation, audio_transcription, audio_speech, image_generation, moderation, rerank, search", - "output_cost_per_reasoning_token": 0.0, - "output_cost_per_token": 0.0, - "search_context_cost_per_query": { - "search_context_size_high": 0.0, - "search_context_size_low": 0.0, - "search_context_size_medium": 0.0 - }, - "supported_regions": [ - "global", - "us-west-2", - "eu-west-1", - "ap-southeast-1", - "ap-northeast-1" - ], - "supports_audio_input": true, - "supports_audio_output": true, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_vision": true, - "supports_web_search": true, - "vector_store_cost_per_gb_per_day": 0.0 - }, - "1024-x-1024/50-steps/bedrock/amazon.nova-canvas-v1:0": { - "litellm_provider": "bedrock", - "max_input_tokens": 2600, - "mode": "image_generation", - "output_cost_per_image": 0.06 - }, - "1024-x-1024/50-steps/stability.stable-diffusion-xl-v1": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.04 - }, - "1024-x-1024/dall-e-2": { - "input_cost_per_pixel": 1.9e-08, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "1024-x-1024/max-steps/stability.stable-diffusion-xl-v1": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.08 - }, - "256-x-256/dall-e-2": { - "input_cost_per_pixel": 2.4414e-07, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "512-x-512/50-steps/stability.stable-diffusion-xl-v0": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.018 - }, - "512-x-512/dall-e-2": { - "input_cost_per_pixel": 6.86e-08, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "512-x-512/max-steps/stability.stable-diffusion-xl-v0": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.036 - }, - "ai21.j2-mid-v1": { - "input_cost_per_token": 1.25e-05, - "litellm_provider": "bedrock", - "max_input_tokens": 8191, - "max_output_tokens": 8191, - "max_tokens": 8191, - "mode": "chat", - "output_cost_per_token": 1.25e-05 - }, - "ai21.j2-ultra-v1": { - "input_cost_per_token": 1.88e-05, - "litellm_provider": "bedrock", - "max_input_tokens": 8191, - "max_output_tokens": 8191, - "max_tokens": 8191, - "mode": "chat", - "output_cost_per_token": 1.88e-05 - }, - "ai21.jamba-1-5-large-v1:0": { - "input_cost_per_token": 2e-06, - "litellm_provider": "bedrock", - "max_input_tokens": 256000, - "max_output_tokens": 256000, - "max_tokens": 256000, - "mode": "chat", - "output_cost_per_token": 8e-06 - }, - "ai21.jamba-1-5-mini-v1:0": { - "input_cost_per_token": 2e-07, - "litellm_provider": "bedrock", - "max_input_tokens": 256000, - "max_output_tokens": 256000, - "max_tokens": 256000, - "mode": "chat", - "output_cost_per_token": 4e-07 - }, - "ai21.jamba-instruct-v1:0": { - "input_cost_per_token": 5e-07, - "litellm_provider": "bedrock", - "max_input_tokens": 70000, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 7e-07, - "supports_system_messages": true - }, - "aiml/dall-e-2": { - "litellm_provider": "aiml", - "metadata": { - "notes": "DALL-E 2 via AI/ML API - Reliable text-to-image generation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.021, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/dall-e-3": { - "litellm_provider": "aiml", - "metadata": { - "notes": "DALL-E 3 via AI/ML API - High-quality text-to-image generation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.042, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-pro": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Dev - Development version optimized for experimentation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.053, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-pro/v1.1": { - "litellm_provider": "aiml", - "mode": "image_generation", - "output_cost_per_image": 0.042, - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-pro/v1.1-ultra": { - "litellm_provider": "aiml", - "mode": "image_generation", - "output_cost_per_image": 0.063, - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-realism": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Pro - Professional-grade image generation model" - 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Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_dbu_cost_per_token": 0.0, - "output_vector_size": 1024, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-llama-2-70b-chat": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 4096, - "max_output_tokens": 4096, - "max_tokens": 4096, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5e-06, - "output_dbu_cost_per_token": 2.1429e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-llama-4-maverick": { - "input_cost_per_token": 5e-06, - "input_dbu_cost_per_token": 7.143e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." - }, - "mode": "chat", - "output_cost_per_token": 1.5e-05, - "output_dbu_cost_per_token": 0.00021429, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-1-405b-instruct": { - "input_cost_per_token": 5e-06, - "input_dbu_cost_per_token": 7.1429e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.500002e-05, - "output_db_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-3-70b-instruct": { - "input_cost_per_token": 1.00002e-06, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.99999e-06, - "output_dbu_cost_per_token": 4.2857e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-70b-instruct": { - "input_cost_per_token": 1.00002e-06, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.99999e-06, - "output_dbu_cost_per_token": 4.2857e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mixtral-8x7b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 4096, - "max_output_tokens": 4096, - "max_tokens": 4096, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.9902e-07, - "output_dbu_cost_per_token": 1.4286e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-30b-instruct": { - "input_cost_per_token": 9.9902e-07, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.9902e-07, - "output_dbu_cost_per_token": 1.4286e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-7b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 0.0, - "output_dbu_cost_per_token": 0.0, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "dataforseo/search": { - "input_cost_per_query": 0.003, - "litellm_provider": "dataforseo", - "mode": "search" - }, - "davinci-002": { - "input_cost_per_token": 2e-06, - "litellm_provider": "text-completion-openai", - "max_input_tokens": 16384, - "max_output_tokens": 4096, - "max_tokens": 16384, - "mode": "completion", - "output_cost_per_token": 2e-06 - }, - "deepgram/base": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-conversationalai": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-finance": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-general": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-meeting": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-phonecall": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-video": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-voicemail": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-finance": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-general": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-meeting": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-phonecall": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-atc": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-automotive": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-conversationalai": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-drivethru": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-finance": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-general": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-meeting": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-phonecall": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-video": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-voicemail": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-3": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-3-general": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-3-medical": { - "input_cost_per_second": 8.667e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0052/60 seconds = $0.00008667 per second (multilingual)", - "original_pricing_per_minute": 0.0052 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-general": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-phonecall": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/whisper": { - "input_cost_per_second": 0.0001, - "litellm_provider": "deepgram", - "metadata": { - "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/whisper-base": { - "input_cost_per_second": 0.0001, - "litellm_provider": "deepgram", - "metadata": { - "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/whisper-large": { - "input_cost_per_second": 0.0001, - "litellm_provider": "deepgram", - "metadata": { - "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/whisper-medium": { - "input_cost_per_second": 0.0001, - "litellm_provider": "deepgram", - "metadata": { - "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - 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"supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "ft:gpt-4o-mini-2024-07-18": { - "cache_read_input_token_cost": 1.5e-07, - "input_cost_per_token": 3e-07, - "input_cost_per_token_batches": 1.5e-07, - "litellm_provider": "openai", - "max_input_tokens": 128000, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "output_cost_per_token": 1.2e-06, - "output_cost_per_token_batches": 6e-07, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.0-pro": { - "input_cost_per_character": 1.25e-07, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-07, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 32760, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-07, - "output_cost_per_token": 1.5e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#google_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-pro-001": { - "deprecation_date": "2025-04-09", - "input_cost_per_character": 1.25e-07, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-07, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 32760, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-07, - "output_cost_per_token": 1.5e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-pro-002": { - "deprecation_date": "2025-04-09", - "input_cost_per_character": 1.25e-07, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-07, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 32760, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-07, - "output_cost_per_token": 1.5e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-pro-vision": { - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-07, - "litellm_provider": "vertex_ai-vision-models", - "max_images_per_prompt": 16, - "max_input_tokens": 16384, - "max_output_tokens": 2048, - "max_tokens": 2048, - "max_video_length": 2, - "max_videos_per_prompt": 1, - "mode": "chat", - "output_cost_per_token": 1.5e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.0-pro-vision-001": { - "deprecation_date": "2025-04-09", - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-07, - "litellm_provider": "vertex_ai-vision-models", - "max_images_per_prompt": 16, - "max_input_tokens": 16384, - "max_output_tokens": 2048, - "max_tokens": 2048, - "max_video_length": 2, - "max_videos_per_prompt": 1, - "mode": "chat", - "output_cost_per_token": 1.5e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.0-ultra": { - "input_cost_per_character": 1.25e-07, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-07, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 8192, - "max_output_tokens": 2048, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-07, - "output_cost_per_token": 1.5e-06, - "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-ultra-001": { - "input_cost_per_character": 1.25e-07, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-07, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 8192, - "max_output_tokens": 2048, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-07, - "output_cost_per_token": 1.5e-06, - "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.5-flash": { - "input_cost_per_audio_per_second": 2e-06, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, - "input_cost_per_character": 1.875e-08, - "input_cost_per_character_above_128k_tokens": 2.5e-07, - "input_cost_per_image": 2e-05, - "input_cost_per_image_above_128k_tokens": 4e-05, - "input_cost_per_token": 7.5e-08, - "input_cost_per_token_above_128k_tokens": 1e-06, - "input_cost_per_video_per_second": 2e-05, - "input_cost_per_video_per_second_above_128k_tokens": 4e-05, - "litellm_provider": "vertex_ai-language-models", - "max_audio_length_hours": 8.4, - "max_audio_per_prompt": 1, - "max_images_per_prompt": 3000, - "max_input_tokens": 1000000, - "max_output_tokens": 8192, - "max_pdf_size_mb": 30, - "max_tokens": 8192, - "max_video_length": 1, - "max_videos_per_prompt": 10, - "mode": "chat", - "output_cost_per_character": 7.5e-08, - "output_cost_per_character_above_128k_tokens": 1.5e-07, - "output_cost_per_token": 3e-07, - "output_cost_per_token_above_128k_tokens": 6e-07, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-flash-001": { - "deprecation_date": "2025-05-24", - "input_cost_per_audio_per_second": 2e-06, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, - "input_cost_per_character": 1.875e-08, - "input_cost_per_character_above_128k_tokens": 2.5e-07, - "input_cost_per_image": 2e-05, - "input_cost_per_image_above_128k_tokens": 4e-05, - "input_cost_per_token": 7.5e-08, - "input_cost_per_token_above_128k_tokens": 1e-06, - "input_cost_per_video_per_second": 2e-05, - "input_cost_per_video_per_second_above_128k_tokens": 4e-05, - "litellm_provider": "vertex_ai-language-models", - "max_audio_length_hours": 8.4, - "max_audio_per_prompt": 1, - "max_images_per_prompt": 3000, - "max_input_tokens": 1000000, - "max_output_tokens": 8192, - "max_pdf_size_mb": 30, - "max_tokens": 8192, - "max_video_length": 1, - "max_videos_per_prompt": 10, - "mode": "chat", - "output_cost_per_character": 7.5e-08, - "output_cost_per_character_above_128k_tokens": 1.5e-07, - "output_cost_per_token": 3e-07, - "output_cost_per_token_above_128k_tokens": 6e-07, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-flash-002": { - "deprecation_date": "2025-09-24", - "input_cost_per_audio_per_second": 2e-06, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, - "input_cost_per_character": 1.875e-08, - "input_cost_per_character_above_128k_tokens": 2.5e-07, - "input_cost_per_image": 2e-05, - "input_cost_per_image_above_128k_tokens": 4e-05, - "input_cost_per_token": 7.5e-08, - "input_cost_per_token_above_128k_tokens": 1e-06, - "input_cost_per_video_per_second": 2e-05, - "input_cost_per_video_per_second_above_128k_tokens": 4e-05, - "litellm_provider": "vertex_ai-language-models", - "max_audio_length_hours": 8.4, - "max_audio_per_prompt": 1, - "max_images_per_prompt": 3000, - "max_input_tokens": 1048576, - "max_output_tokens": 8192, - "max_pdf_size_mb": 30, - "max_tokens": 8192, - "max_video_length": 1, - "max_videos_per_prompt": 10, - "mode": "chat", - "output_cost_per_character": 7.5e-08, - "output_cost_per_character_above_128k_tokens": 1.5e-07, - "output_cost_per_token": 3e-07, - "output_cost_per_token_above_128k_tokens": 6e-07, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-1.5-flash", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-flash-exp-0827": { - "input_cost_per_audio_per_second": 2e-06, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, - "input_cost_per_character": 1.875e-08, - "input_cost_per_character_above_128k_tokens": 2.5e-07, - "input_cost_per_image": 2e-05, - "input_cost_per_image_above_128k_tokens": 4e-05, - "input_cost_per_token": 4.688e-09, - "input_cost_per_token_above_128k_tokens": 1e-06, - "input_cost_per_video_per_second": 2e-05, - "input_cost_per_video_per_second_above_128k_tokens": 4e-05, - "litellm_provider": "vertex_ai-language-models", - "max_audio_length_hours": 8.4, - "max_audio_per_prompt": 1, - "max_images_per_prompt": 3000, - "max_input_tokens": 1000000, - "max_output_tokens": 8192, - "max_pdf_size_mb": 30, - "max_tokens": 8192, - "max_video_length": 1, - "max_videos_per_prompt": 10, - "mode": "chat", - "output_cost_per_character": 1.875e-08, - "output_cost_per_character_above_128k_tokens": 3.75e-08, - "output_cost_per_token": 4.6875e-09, - "output_cost_per_token_above_128k_tokens": 9.375e-09, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-flash-preview-0514": { - "input_cost_per_audio_per_second": 2e-06, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, - "input_cost_per_character": 1.875e-08, - "input_cost_per_character_above_128k_tokens": 2.5e-07, - "input_cost_per_image": 2e-05, - "input_cost_per_image_above_128k_tokens": 4e-05, - "input_cost_per_token": 7.5e-08, - "input_cost_per_token_above_128k_tokens": 1e-06, - "input_cost_per_video_per_second": 2e-05, - "input_cost_per_video_per_second_above_128k_tokens": 4e-05, - "litellm_provider": "vertex_ai-language-models", - "max_audio_length_hours": 8.4, - "max_audio_per_prompt": 1, - "max_images_per_prompt": 3000, - "max_input_tokens": 1000000, - "max_output_tokens": 8192, - "max_pdf_size_mb": 30, - "max_tokens": 8192, - "max_video_length": 1, - "max_videos_per_prompt": 10, - "mode": "chat", - "output_cost_per_character": 1.875e-08, - "output_cost_per_character_above_128k_tokens": 3.75e-08, - "output_cost_per_token": 4.6875e-09, - "output_cost_per_token_above_128k_tokens": 9.375e-09, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-pro": { - "input_cost_per_audio_per_second": 3.125e-05, - "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, - "input_cost_per_character": 3.125e-07, - "input_cost_per_character_above_128k_tokens": 6.25e-07, - "input_cost_per_image": 0.00032875, - "input_cost_per_image_above_128k_tokens": 0.0006575, - "input_cost_per_token": 1.25e-06, - "input_cost_per_token_above_128k_tokens": 2.5e-06, - "input_cost_per_video_per_second": 0.00032875, - "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 2097152, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 1.25e-06, - "output_cost_per_character_above_128k_tokens": 2.5e-06, - "output_cost_per_token": 5e-06, - "output_cost_per_token_above_128k_tokens": 1e-05, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-pro-001": { - "deprecation_date": "2025-05-24", - "input_cost_per_audio_per_second": 3.125e-05, - "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, - "input_cost_per_character": 3.125e-07, - "input_cost_per_character_above_128k_tokens": 6.25e-07, - "input_cost_per_image": 0.00032875, - "input_cost_per_image_above_128k_tokens": 0.0006575, - "input_cost_per_token": 1.25e-06, - "input_cost_per_token_above_128k_tokens": 2.5e-06, - "input_cost_per_video_per_second": 0.00032875, - "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 1000000, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 1.25e-06, - "output_cost_per_character_above_128k_tokens": 2.5e-06, - "output_cost_per_token": 5e-06, - "output_cost_per_token_above_128k_tokens": 1e-05, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-pro-002": { - "deprecation_date": "2025-09-24", - "input_cost_per_audio_per_second": 3.125e-05, - "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, - "input_cost_per_character": 3.125e-07, - "input_cost_per_character_above_128k_tokens": 6.25e-07, - "input_cost_per_image": 0.00032875, - "input_cost_per_image_above_128k_tokens": 0.0006575, - "input_cost_per_token": 1.25e-06, - "input_cost_per_token_above_128k_tokens": 2.5e-06, - "input_cost_per_video_per_second": 0.00032875, - "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 2097152, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 1.25e-06, - "output_cost_per_character_above_128k_tokens": 2.5e-06, - "output_cost_per_token": 5e-06, - "output_cost_per_token_above_128k_tokens": 1e-05, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-1.5-pro", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-pro-preview-0215": { - "input_cost_per_audio_per_second": 3.125e-05, - "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, - "input_cost_per_character": 3.125e-07, - "input_cost_per_character_above_128k_tokens": 6.25e-07, - "input_cost_per_image": 0.00032875, - "input_cost_per_image_above_128k_tokens": 0.0006575, - "input_cost_per_token": 7.8125e-08, - "input_cost_per_token_above_128k_tokens": 1.5625e-07, - "input_cost_per_video_per_second": 0.00032875, - "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, - "litellm_provider": "vertex_ai-language-models", - 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"output_cost_per_token": 0.3e-06, - "litellm_provider": "watsonx", - "mode": "chat", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_vision": false - }, - "watsonx/mistralai/mistral-small-3-1-24b-instruct-2503": { - "max_tokens": 32000, - "max_input_tokens": 32000, - "max_output_tokens": 32000, - "input_cost_per_token": 0.1e-06, - "output_cost_per_token": 0.3e-06, - "litellm_provider": "watsonx", - "mode": "chat", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_vision": false - }, - "watsonx/mistralai/pixtral-12b-2409": { - "max_tokens": 128000, - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "input_cost_per_token": 0.35e-06, - "output_cost_per_token": 0.35e-06, - "litellm_provider": "watsonx", - "mode": "chat", - "supports_function_calling": false, - "supports_parallel_function_calling": false, - "supports_vision": true - }, - "watsonx/openai/gpt-oss-120b": { - "max_tokens": 8192, - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "input_cost_per_token": 0.15e-06, - "output_cost_per_token": 0.6e-06, - "litellm_provider": "watsonx", - "mode": "chat", - "supports_function_calling": false, - "supports_parallel_function_calling": false, - "supports_vision": false - }, - "watsonx/sdaia/allam-1-13b-instruct": { - "max_tokens": 8192, - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "input_cost_per_token": 1.8e-06, - "output_cost_per_token": 1.8e-06, - "litellm_provider": "watsonx", - "mode": "chat", - "supports_function_calling": false, - "supports_parallel_function_calling": false, - "supports_vision": false - }, + "sample_spec": { + "code_interpreter_cost_per_session": 0.0, + "computer_use_input_cost_per_1k_tokens": 0.0, + "computer_use_output_cost_per_1k_tokens": 0.0, + "deprecation_date": "date when the model becomes deprecated in the format YYYY-MM-DD", + "file_search_cost_per_1k_calls": 0.0, + "file_search_cost_per_gb_per_day": 0.0, + "input_cost_per_audio_token": 0.0, + "input_cost_per_token": 0.0, + "litellm_provider": "one of https://docs.litellm.ai/docs/providers", + "max_input_tokens": "max input tokens, if the provider specifies it. if not default to max_tokens", + "max_output_tokens": "max output tokens, if the provider specifies it. if not default to max_tokens", + "max_tokens": "LEGACY parameter. set to max_output_tokens if provider specifies it. IF not set to max_input_tokens, if provider specifies it.", + "mode": "one of: chat, embedding, completion, image_generation, audio_transcription, audio_speech, image_generation, moderation, rerank, search", + "output_cost_per_reasoning_token": 0.0, + "output_cost_per_token": 0.0, + "search_context_cost_per_query": { + "search_context_size_high": 0.0, + "search_context_size_low": 0.0, + "search_context_size_medium": 0.0 + }, + "supported_regions": ["global", "us-west-2", "eu-west-1", "ap-southeast-1", "ap-northeast-1"], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_vision": true, + "supports_web_search": true, + "vector_store_cost_per_gb_per_day": 0.0 + }, + "1024-x-1024/50-steps/bedrock/amazon.nova-canvas-v1:0": { + "litellm_provider": "bedrock", + "max_input_tokens": 2600, + "mode": "image_generation", + "output_cost_per_image": 0.06 + }, + "1024-x-1024/50-steps/stability.stable-diffusion-xl-v1": { + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "image_generation", + "output_cost_per_image": 0.04 + }, + "1024-x-1024/dall-e-2": { + "input_cost_per_pixel": 1.9e-8, + "litellm_provider": "openai", + "mode": "image_generation", + "output_cost_per_pixel": 0.0 + }, + "1024-x-1024/max-steps/stability.stable-diffusion-xl-v1": { + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "image_generation", + "output_cost_per_image": 0.08 + }, + "256-x-256/dall-e-2": { + "input_cost_per_pixel": 2.4414e-7, + "litellm_provider": "openai", + "mode": "image_generation", + "output_cost_per_pixel": 0.0 + }, + "512-x-512/50-steps/stability.stable-diffusion-xl-v0": { + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "image_generation", + "output_cost_per_image": 0.018 + }, + "512-x-512/dall-e-2": { + "input_cost_per_pixel": 6.86e-8, + "litellm_provider": "openai", + "mode": "image_generation", + "output_cost_per_pixel": 0.0 + }, + "512-x-512/max-steps/stability.stable-diffusion-xl-v0": { + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "image_generation", + "output_cost_per_image": 0.036 + }, + "ai21.j2-mid-v1": { + "input_cost_per_token": 1.25e-5, + "litellm_provider": "bedrock", + "max_input_tokens": 8191, + "max_output_tokens": 8191, + "max_tokens": 8191, + "mode": "chat", + "output_cost_per_token": 1.25e-5 + }, + "ai21.j2-ultra-v1": { + "input_cost_per_token": 1.88e-5, + "litellm_provider": "bedrock", + "max_input_tokens": 8191, + "max_output_tokens": 8191, + "max_tokens": 8191, + "mode": "chat", + "output_cost_per_token": 1.88e-5 + }, + "ai21.jamba-1-5-large-v1:0": { + "input_cost_per_token": 2e-6, + "litellm_provider": "bedrock", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 8e-6 + }, + "ai21.jamba-1-5-mini-v1:0": { + "input_cost_per_token": 2e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 4e-7 + }, + "ai21.jamba-instruct-v1:0": { + "input_cost_per_token": 5e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 70000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 7e-7, + "supports_system_messages": true + }, + "aiml/dall-e-2": { + "litellm_provider": "aiml", + "metadata": { + "notes": "DALL-E 2 via AI/ML API - Reliable text-to-image generation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.021, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/dall-e-3": { + "litellm_provider": "aiml", + "metadata": { + "notes": "DALL-E 3 via AI/ML API - High-quality text-to-image generation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.042, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux-pro": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Dev - Development version optimized for experimentation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.053, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux-pro/v1.1": { + "litellm_provider": "aiml", + "mode": "image_generation", + "output_cost_per_image": 0.042, + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux-pro/v1.1-ultra": { + "litellm_provider": "aiml", + "mode": "image_generation", + "output_cost_per_image": 0.063, + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux-realism": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Pro - Professional-grade image generation model" + }, + "mode": "image_generation", + "output_cost_per_image": 0.037, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux/dev": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Dev - Development version optimized for experimentation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.026, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux/kontext-max/text-to-image": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Pro v1.1 - Enhanced version with improved capabilities and 6x faster inference speed" + }, + "mode": "image_generation", + "output_cost_per_image": 0.084, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux/kontext-pro/text-to-image": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Pro v1.1 - Enhanced version with improved capabilities and 6x faster inference speed" + }, + "mode": "image_generation", + "output_cost_per_image": 0.042, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "aiml/flux/schnell": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Schnell - Fast generation model optimized for speed" + }, + "mode": "image_generation", + "output_cost_per_image": 0.003, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": ["/v1/images/generations"] + }, + "amazon.nova-lite-v1:0": { + "input_cost_per_token": 6e-8, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 300000, + "max_output_tokens": 10000, + "max_tokens": 10000, + "mode": "chat", + "output_cost_per_token": 2.4e-7, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_vision": true + }, + "amazon.nova-micro-v1:0": { + "input_cost_per_token": 3.5e-8, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 128000, + "max_output_tokens": 10000, + "max_tokens": 10000, + "mode": "chat", + "output_cost_per_token": 1.4e-7, + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_response_schema": true + }, + "amazon.nova-pro-v1:0": { + "input_cost_per_token": 8e-7, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 300000, + "max_output_tokens": 10000, + "max_tokens": 10000, + "mode": "chat", + "output_cost_per_token": 3.2e-6, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_vision": true + }, + "amazon.rerank-v1:0": { + "input_cost_per_query": 0.001, + "input_cost_per_token": 0.0, + "litellm_provider": "bedrock", + "max_document_chunks_per_query": 100, + "max_input_tokens": 32000, + "max_output_tokens": 32000, + "max_query_tokens": 32000, + "max_tokens": 32000, + "max_tokens_per_document_chunk": 512, + "mode": "rerank", + "output_cost_per_token": 0.0 + }, + "amazon.titan-embed-image-v1": { + "input_cost_per_image": 6e-5, + "input_cost_per_token": 8e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 128, + "max_tokens": 128, + "metadata": { + "notes": "'supports_image_input' is a deprecated field. Use 'supports_embedding_image_input' instead." + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 1024, + "source": "https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/providers?model=amazon.titan-image-generator-v1", + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "amazon.titan-embed-text-v1": { + "input_cost_per_token": 1e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 1536 + }, + "amazon.titan-embed-text-v2:0": { + "input_cost_per_token": 2e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 1024 + }, + "amazon.titan-image-generator-v1": { + "input_cost_per_image": 0.0, + "output_cost_per_image": 0.008, + "output_cost_per_image_premium_image": 0.01, + "output_cost_per_image_above_512_and_512_pixels": 0.01, + "output_cost_per_image_above_512_and_512_pixels_and_premium_image": 0.012, + "litellm_provider": "bedrock", + "mode": "image_generation" + }, + "amazon.titan-image-generator-v2": { + "input_cost_per_image": 0.0, + "output_cost_per_image": 0.008, + "output_cost_per_image_premium_image": 0.01, + "output_cost_per_image_above_1024_and_1024_pixels": 0.01, + "output_cost_per_image_above_1024_and_1024_pixels_and_premium_image": 0.012, + "litellm_provider": "bedrock", + "mode": "image_generation" + }, + "twelvelabs.marengo-embed-2-7-v1:0": { + "input_cost_per_token": 7e-5, + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 1024, + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "us.twelvelabs.marengo-embed-2-7-v1:0": { + "input_cost_per_token": 7e-5, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 1024, + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "eu.twelvelabs.marengo-embed-2-7-v1:0": { + "input_cost_per_token": 7e-5, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 1024, + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "twelvelabs.pegasus-1-2-v1:0": { + "input_cost_per_video_per_second": 0.00049, + "output_cost_per_token": 7.5e-6, + "litellm_provider": "bedrock", + "mode": "chat", + "supports_video_input": true + }, + "us.twelvelabs.pegasus-1-2-v1:0": { + "input_cost_per_video_per_second": 0.00049, + "output_cost_per_token": 7.5e-6, + "litellm_provider": "bedrock", + "mode": "chat", + "supports_video_input": true + }, + "eu.twelvelabs.pegasus-1-2-v1:0": { + "input_cost_per_video_per_second": 0.00049, + "output_cost_per_token": 7.5e-6, + "litellm_provider": "bedrock", + "mode": "chat", + "supports_video_input": true + }, + "amazon.titan-text-express-v1": { + "input_cost_per_token": 1.3e-6, + "litellm_provider": "bedrock", + "max_input_tokens": 42000, + "max_output_tokens": 8000, + "max_tokens": 8000, + "mode": "chat", + "output_cost_per_token": 1.7e-6 + }, + "amazon.titan-text-lite-v1": { + "input_cost_per_token": 3e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 42000, + "max_output_tokens": 4000, + "max_tokens": 4000, + "mode": "chat", + "output_cost_per_token": 4e-7 + }, + "amazon.titan-text-premier-v1:0": { + "input_cost_per_token": 5e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 42000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "mode": "chat", + "output_cost_per_token": 1.5e-6 + }, + "anthropic.claude-3-5-haiku-20241022-v1:0": { + "cache_creation_input_token_cost": 1e-6, + "cache_read_input_token_cost": 8e-8, + "input_cost_per_token": 8e-7, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 4e-6, + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "anthropic.claude-haiku-4-5-20251001-v1:0": { + "cache_creation_input_token_cost": 1.25e-6, + "cache_read_input_token_cost": 1e-7, + "input_cost_per_token": 1e-6, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 5e-6, + "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "anthropic.claude-haiku-4-5@20251001": { + "cache_creation_input_token_cost": 1.25e-6, + "cache_read_input_token_cost": 1e-7, + "input_cost_per_token": 1e-6, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 5e-6, + "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "anthropic.claude-3-5-sonnet-20240620-v1:0": { + "input_cost_per_token": 3e-6, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "anthropic.claude-3-5-sonnet-20241022-v2:0": { + "cache_creation_input_token_cost": 3.75e-6, + "cache_read_input_token_cost": 3e-7, + "input_cost_per_token": 3e-6, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "anthropic.claude-3-7-sonnet-20240620-v1:0": { + "cache_creation_input_token_cost": 4.5e-6, + "cache_read_input_token_cost": 3.6e-7, + "input_cost_per_token": 3.6e-6, + "litellm_provider": "bedrock", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.8e-5, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "anthropic.claude-3-7-sonnet-20250219-v1:0": { + "cache_creation_input_token_cost": 3.75e-6, + "cache_read_input_token_cost": 3e-7, + "input_cost_per_token": 3e-6, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 200000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": 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"output_cost_per_token": 5e-6, + "range": [0, 32000.0] + }, + { + "input_cost_per_token": 1.8e-6, + "output_cost_per_token": 9e-6, + "range": [32000.0, 128000.0] + }, + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 1.5e-5, + "range": [128000.0, 256000.0] + }, + { + "input_cost_per_token": 6e-6, + "output_cost_per_token": 6e-5, + "range": [256000.0, 1000000.0] + } + ] + }, + "dashscope/qwen3-max-preview": { + "litellm_provider": "dashscope", + "max_input_tokens": 258048, + "max_output_tokens": 65536, + "max_tokens": 262144, + "mode": "chat", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "tiered_pricing": [ + { + "input_cost_per_token": 1.2e-6, + "output_cost_per_token": 6e-6, + "range": [0, 32000.0] + }, + { + "input_cost_per_token": 2.4e-6, + "output_cost_per_token": 1.2e-5, + "range": [32000.0, 128000.0] + }, + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 1.5e-5, + "range": [128000.0, 252000.0] + } + ] + }, + "dashscope/qwq-plus": { + "input_cost_per_token": 8e-7, + "litellm_provider": "dashscope", + "max_input_tokens": 98304, + "max_output_tokens": 8192, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 2.4e-6, + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-bge-large-en": { + "input_cost_per_token": 1.0003e-7, + "input_dbu_cost_per_token": 1.429e-6, + "litellm_provider": "databricks", + "max_input_tokens": 512, + "max_tokens": 512, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "output_vector_size": 1024, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-claude-3-7-sonnet": { + "input_cost_per_token": 2.5e-6, + "input_dbu_cost_per_token": 3.571e-5, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 200000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Claude 3.7 conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.7857e-5, + "output_db_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-gte-large-en": { + "input_cost_per_token": 1.2999e-7, + "input_dbu_cost_per_token": 1.857e-6, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "output_vector_size": 1024, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-llama-2-70b-chat": { + "input_cost_per_token": 5.0001e-7, + "input_dbu_cost_per_token": 7.143e-6, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5e-6, + "output_dbu_cost_per_token": 2.1429e-5, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-llama-4-maverick": { + "input_cost_per_token": 5e-6, + "input_dbu_cost_per_token": 7.143e-5, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." + }, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "output_dbu_cost_per_token": 0.00021429, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-1-405b-instruct": { + "input_cost_per_token": 5e-6, + "input_dbu_cost_per_token": 7.1429e-5, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.500002e-5, + "output_db_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-3-70b-instruct": { + "input_cost_per_token": 1.00002e-6, + "input_dbu_cost_per_token": 1.4286e-5, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.99999e-6, + "output_dbu_cost_per_token": 4.2857e-5, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-70b-instruct": { + "input_cost_per_token": 1.00002e-6, + "input_dbu_cost_per_token": 1.4286e-5, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.99999e-6, + "output_dbu_cost_per_token": 4.2857e-5, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mixtral-8x7b-instruct": { + "input_cost_per_token": 5.0001e-7, + "input_dbu_cost_per_token": 7.143e-6, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.9902e-7, + "output_dbu_cost_per_token": 1.4286e-5, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-30b-instruct": { + "input_cost_per_token": 9.9902e-7, + "input_dbu_cost_per_token": 1.4286e-5, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.9902e-7, + "output_dbu_cost_per_token": 1.4286e-5, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-7b-instruct": { + "input_cost_per_token": 5.0001e-7, + "input_dbu_cost_per_token": 7.143e-6, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "dataforseo/search": { + "input_cost_per_query": 0.003, + "litellm_provider": "dataforseo", + "mode": "search" + }, + "davinci-002": { + "input_cost_per_token": 2e-6, + "litellm_provider": "text-completion-openai", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 16384, + "mode": "completion", + "output_cost_per_token": 2e-6 + }, + "deepgram/base": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/base-conversationalai": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/base-finance": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/base-general": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/base-meeting": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/base-phonecall": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/base-video": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/base-voicemail": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/enhanced": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/enhanced-finance": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/enhanced-general": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/enhanced-meeting": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/enhanced-phonecall": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova-2": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova-2-atc": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova-2-automotive": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova-2-conversationalai": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova-2-drivethru": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova-2-finance": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": ["/v1/audio/transcriptions"] + }, + "deepgram/nova-2-general": { + "input_cost_per_second": 7.167e-5, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": 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"supports_tool_choice": true + }, + "ft:babbage-002": { + "input_cost_per_token": 4e-7, + "input_cost_per_token_batches": 2e-7, + "litellm_provider": "text-completion-openai", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 16384, + "mode": "completion", + "output_cost_per_token": 4e-7, + "output_cost_per_token_batches": 2e-7 + }, + "ft:davinci-002": { + "input_cost_per_token": 2e-6, + "input_cost_per_token_batches": 1e-6, + "litellm_provider": "text-completion-openai", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 16384, + "mode": "completion", + "output_cost_per_token": 2e-6, + "output_cost_per_token_batches": 1e-6 + }, + "ft:gpt-3.5-turbo": { + "input_cost_per_token": 3e-6, + "input_cost_per_token_batches": 1.5e-6, + "litellm_provider": "openai", + "max_input_tokens": 16385, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 6e-6, + "output_cost_per_token_batches": 3e-6, + "supports_system_messages": true, + "supports_tool_choice": true + }, + "ft:gpt-3.5-turbo-0125": { + "input_cost_per_token": 3e-6, + "litellm_provider": "openai", + "max_input_tokens": 16385, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 6e-6, + "supports_system_messages": true, + "supports_tool_choice": true + }, + "ft:gpt-3.5-turbo-0613": { + "input_cost_per_token": 3e-6, + "litellm_provider": "openai", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 6e-6, + "supports_system_messages": true, + "supports_tool_choice": true + }, + "ft:gpt-3.5-turbo-1106": { + "input_cost_per_token": 3e-6, + "litellm_provider": "openai", + "max_input_tokens": 16385, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 6e-6, + "supports_system_messages": true, + "supports_tool_choice": true + }, + "ft:gpt-4-0613": { + "input_cost_per_token": 3e-5, + "litellm_provider": "openai", + "max_input_tokens": 8192, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 6e-5, + "source": "OpenAI needs to add pricing for this ft model, will be updated when added by OpenAI. Defaulting to base model pricing", + "supports_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, + "ft:gpt-4o-2024-08-06": { + "input_cost_per_token": 3.75e-6, + "input_cost_per_token_batches": 1.875e-6, + "litellm_provider": "openai", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "output_cost_per_token_batches": 7.5e-6, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "ft:gpt-4o-2024-11-20": { + "cache_creation_input_token_cost": 1.875e-6, + "input_cost_per_token": 3.75e-6, + "litellm_provider": "openai", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "ft:gpt-4o-mini-2024-07-18": { + "cache_read_input_token_cost": 1.5e-7, + "input_cost_per_token": 3e-7, + "input_cost_per_token_batches": 1.5e-7, + "litellm_provider": "openai", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_token": 1.2e-6, + "output_cost_per_token_batches": 6e-7, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.0-pro": { + "input_cost_per_character": 1.25e-7, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-7, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 32760, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-7, + "output_cost_per_token": 1.5e-6, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#google_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-pro-001": { + "deprecation_date": "2025-04-09", + "input_cost_per_character": 1.25e-7, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-7, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 32760, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-7, + "output_cost_per_token": 1.5e-6, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-pro-002": { + "deprecation_date": "2025-04-09", + "input_cost_per_character": 1.25e-7, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-7, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 32760, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-7, + "output_cost_per_token": 1.5e-6, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-pro-vision": { + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-7, + "litellm_provider": "vertex_ai-vision-models", + "max_images_per_prompt": 16, + "max_input_tokens": 16384, + "max_output_tokens": 2048, + "max_tokens": 2048, + "max_video_length": 2, + "max_videos_per_prompt": 1, + "mode": "chat", + "output_cost_per_token": 1.5e-6, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.0-pro-vision-001": { + "deprecation_date": "2025-04-09", + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-7, + "litellm_provider": "vertex_ai-vision-models", + "max_images_per_prompt": 16, + "max_input_tokens": 16384, + "max_output_tokens": 2048, + "max_tokens": 2048, + "max_video_length": 2, + "max_videos_per_prompt": 1, + "mode": "chat", + "output_cost_per_token": 1.5e-6, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.0-ultra": { + "input_cost_per_character": 1.25e-7, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-7, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 8192, + "max_output_tokens": 2048, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-7, + "output_cost_per_token": 1.5e-6, + "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-ultra-001": { + "input_cost_per_character": 1.25e-7, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-7, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 8192, + "max_output_tokens": 2048, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-7, + "output_cost_per_token": 1.5e-6, + "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.5-flash": { + "input_cost_per_audio_per_second": 2e-6, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, + "input_cost_per_character": 1.875e-8, + "input_cost_per_character_above_128k_tokens": 2.5e-7, + "input_cost_per_image": 2e-5, + "input_cost_per_image_above_128k_tokens": 4e-5, + "input_cost_per_token": 7.5e-8, + "input_cost_per_token_above_128k_tokens": 1e-6, + "input_cost_per_video_per_second": 2e-5, + "input_cost_per_video_per_second_above_128k_tokens": 4e-5, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 7.5e-8, + "output_cost_per_character_above_128k_tokens": 1.5e-7, + "output_cost_per_token": 3e-7, + "output_cost_per_token_above_128k_tokens": 6e-7, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-001": { + "deprecation_date": "2025-05-24", + "input_cost_per_audio_per_second": 2e-6, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, + "input_cost_per_character": 1.875e-8, + "input_cost_per_character_above_128k_tokens": 2.5e-7, + "input_cost_per_image": 2e-5, + "input_cost_per_image_above_128k_tokens": 4e-5, + "input_cost_per_token": 7.5e-8, + "input_cost_per_token_above_128k_tokens": 1e-6, + "input_cost_per_video_per_second": 2e-5, + "input_cost_per_video_per_second_above_128k_tokens": 4e-5, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 7.5e-8, + "output_cost_per_character_above_128k_tokens": 1.5e-7, + "output_cost_per_token": 3e-7, + "output_cost_per_token_above_128k_tokens": 6e-7, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-002": { + "deprecation_date": "2025-09-24", + "input_cost_per_audio_per_second": 2e-6, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, + "input_cost_per_character": 1.875e-8, + "input_cost_per_character_above_128k_tokens": 2.5e-7, + "input_cost_per_image": 2e-5, + "input_cost_per_image_above_128k_tokens": 4e-5, + "input_cost_per_token": 7.5e-8, + "input_cost_per_token_above_128k_tokens": 1e-6, + "input_cost_per_video_per_second": 2e-5, + "input_cost_per_video_per_second_above_128k_tokens": 4e-5, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 7.5e-8, + "output_cost_per_character_above_128k_tokens": 1.5e-7, + "output_cost_per_token": 3e-7, + "output_cost_per_token_above_128k_tokens": 6e-7, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-1.5-flash", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-exp-0827": { + "input_cost_per_audio_per_second": 2e-6, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, + "input_cost_per_character": 1.875e-8, + "input_cost_per_character_above_128k_tokens": 2.5e-7, + "input_cost_per_image": 2e-5, + "input_cost_per_image_above_128k_tokens": 4e-5, + "input_cost_per_token": 4.688e-9, + "input_cost_per_token_above_128k_tokens": 1e-6, + "input_cost_per_video_per_second": 2e-5, + "input_cost_per_video_per_second_above_128k_tokens": 4e-5, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 1.875e-8, + "output_cost_per_character_above_128k_tokens": 3.75e-8, + "output_cost_per_token": 4.6875e-9, + "output_cost_per_token_above_128k_tokens": 9.375e-9, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-preview-0514": { + "input_cost_per_audio_per_second": 2e-6, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, + "input_cost_per_character": 1.875e-8, + "input_cost_per_character_above_128k_tokens": 2.5e-7, + "input_cost_per_image": 2e-5, + "input_cost_per_image_above_128k_tokens": 4e-5, + "input_cost_per_token": 7.5e-8, + "input_cost_per_token_above_128k_tokens": 1e-6, + "input_cost_per_video_per_second": 2e-5, + "input_cost_per_video_per_second_above_128k_tokens": 4e-5, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 1.875e-8, + "output_cost_per_character_above_128k_tokens": 3.75e-8, + "output_cost_per_token": 4.6875e-9, + "output_cost_per_token_above_128k_tokens": 9.375e-9, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-pro": { + "input_cost_per_audio_per_second": 3.125e-5, + "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-5, + "input_cost_per_character": 3.125e-7, + "input_cost_per_character_above_128k_tokens": 6.25e-7, + "input_cost_per_image": 0.00032875, + "input_cost_per_image_above_128k_tokens": 0.0006575, + "input_cost_per_token": 1.25e-6, + "input_cost_per_token_above_128k_tokens": 2.5e-6, + "input_cost_per_video_per_second": 0.00032875, + "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 2097152, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 1.25e-6, + "output_cost_per_character_above_128k_tokens": 2.5e-6, + "output_cost_per_token": 5e-6, + "output_cost_per_token_above_128k_tokens": 1e-5, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + 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true, + "supports_reasoning": true, + "supports_response_schema": false, + "supports_tool_choice": true, + "supports_web_search": true + }, + "xai/grok-4": { + "input_cost_per_token": 3e-6, + "litellm_provider": "xai", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_web_search": true + }, + "xai/grok-4-fast-reasoning": { + "litellm_provider": "xai", + "max_input_tokens": 2e6, + "max_output_tokens": 2e6, + "max_tokens": 2e6, + "mode": "chat", + "input_cost_per_token": 0.2e-6, + "input_cost_per_token_above_128k_tokens": 0.4e-6, + "output_cost_per_token": 0.5e-6, + "output_cost_per_token_above_128k_tokens": 1e-6, + "cache_read_input_token_cost": 0.05e-6, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_web_search": true + }, + "xai/grok-4-fast-non-reasoning": { + "litellm_provider": "xai", + "max_input_tokens": 2e6, + "max_output_tokens": 2e6, + "cache_read_input_token_cost": 0.05e-6, + "max_tokens": 2e6, + "mode": "chat", + "input_cost_per_token": 0.2e-6, + "input_cost_per_token_above_128k_tokens": 0.4e-6, + "output_cost_per_token": 0.5e-6, + "output_cost_per_token_above_128k_tokens": 1e-6, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_web_search": true + }, + "xai/grok-4-0709": { + "input_cost_per_token": 3e-6, + "input_cost_per_token_above_128k_tokens": 6e-6, + "litellm_provider": "xai", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "output_cost_per_token_above_128k_tokens": 30e-6, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_web_search": true + }, + "xai/grok-4-latest": { + "input_cost_per_token": 3e-6, + "input_cost_per_token_above_128k_tokens": 6e-6, + "litellm_provider": "xai", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "output_cost_per_token_above_128k_tokens": 30e-6, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_web_search": true + }, + "xai/grok-beta": { + "input_cost_per_token": 5e-6, + "litellm_provider": "xai", + "max_input_tokens": 131072, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true + }, + "xai/grok-code-fast": { + "cache_read_input_token_cost": 2e-8, + "input_cost_per_token": 2e-7, + "litellm_provider": "xai", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 1.5e-6, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "xai/grok-code-fast-1": { + "cache_read_input_token_cost": 2e-8, + "input_cost_per_token": 2e-7, + "litellm_provider": "xai", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 1.5e-6, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "xai/grok-code-fast-1-0825": { + "cache_read_input_token_cost": 2e-8, + "input_cost_per_token": 2e-7, + "litellm_provider": "xai", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 1.5e-6, + "source": "https://docs.x.ai/docs/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "xai/grok-vision-beta": { + "input_cost_per_image": 5e-6, + "input_cost_per_token": 5e-6, + "litellm_provider": "xai", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.5e-5, + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true + }, + "vertex_ai/search_api": { + "input_cost_per_query": 1.5e-3, + "litellm_provider": "vertex_ai", + "mode": "vector_store" + }, + "openai/sora-2": { + "litellm_provider": "openai", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.1, + "source": "https://platform.openai.com/docs/api-reference/videos", + "supported_modalities": ["text", "image"], + "supported_output_modalities": ["video"], + "supported_resolutions": ["720x1280", "1280x720"] + }, + "openai/sora-2-pro": { + "litellm_provider": "openai", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.3, + "source": "https://platform.openai.com/docs/api-reference/videos", + "supported_modalities": ["text", "image"], + "supported_output_modalities": ["video"], + "supported_resolutions": ["720x1280", "1280x720"] + }, + "azure/sora-2": { + "litellm_provider": "azure", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.1, + "source": "https://azure.microsoft.com/en-us/products/ai-services/video-generation", + "supported_modalities": ["text"], + "supported_output_modalities": ["video"], + "supported_resolutions": ["720x1280", "1280x720"] + }, + "azure/sora-2-pro": { + "litellm_provider": "azure", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.3, + "source": "https://azure.microsoft.com/en-us/products/ai-services/video-generation", + "supported_modalities": ["text"], + "supported_output_modalities": ["video"], + "supported_resolutions": ["720x1280", "1280x720"] + }, + "azure/sora-2-pro-high-res": { + "litellm_provider": "azure", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.5, + "source": "https://azure.microsoft.com/en-us/products/ai-services/video-generation", + "supported_modalities": ["text"], + "supported_output_modalities": ["video"], + "supported_resolutions": ["1024x1792", "1792x1024"] + } } diff --git a/src/actions/keys.ts b/src/actions/keys.ts index 97e86ccea..1939683f3 100644 --- a/src/actions/keys.ts +++ b/src/actions/keys.ts @@ -25,6 +25,11 @@ export async function addKey(data: { userId: number; name: string; expiresAt?: string; + canLoginWebUi?: boolean; + limit5hUsd?: number | null; + limitWeeklyUsd?: number | null; + limitMonthlyUsd?: number | null; + limitConcurrentSessions?: number; }): Promise> { try { // 权限检查：用户只能给自己添加Key，管理员可以给所有人添加Key @@ -79,7 +84,15 @@ export async function addKey(data: { // 更新密钥 export async function editKey( keyId: number, - data: { name: string; expiresAt?: string } + data: { + name: string; + expiresAt?: string; + canLoginWebUi?: boolean; + limit5hUsd?: number | null; + limitWeeklyUsd?: number | null; + limitMonthlyUsd?: number | null; + limitConcurrentSessions?: number; + } ): Promise { try { // 权限检查：用户只能编辑自己的Key，管理员可以编辑所有Key @@ -194,3 +207,60 @@ export async function getKeysWithStatistics( return { ok: false, error: "获取密钥统计失败" }; } } + +/** + * 获取密钥的限额使用情况（实时数据） + */ +export async function getKeyLimitUsage(keyId: number): Promise< + ActionResult<{ + cost5h: { current: number; limit: number | null }; + costWeekly: { current: number; limit: number | null }; + costMonthly: { current: number; limit: number | null }; + concurrentSessions: { current: number; limit: number }; + }> +> { + try { + const session = await getSession(); + if (!session) { + return { ok: false, error: "未登录" }; + } + + const key = await findKeyById(keyId); + if (!key) { + return { ok: false, error: "密钥不存在" }; + } + + // 权限检查 + if (session.user.role !== "admin" && session.user.id !== key.userId) { + return { ok: false, error: "无权限执行此操作" }; + } + + // 动态导入 RateLimitService 避免循环依赖 + const { RateLimitService } = await import("@/lib/rate-limit"); + const { SessionTracker } = await import("@/lib/session-tracker"); + + // 获取金额消费（优先 Redis，降级数据库） + const [cost5h, costWeekly, costMonthly, concurrentSessions] = await Promise.all([ + RateLimitService.getCurrentCost(keyId, "key", "5h"), + RateLimitService.getCurrentCost(keyId, "key", "weekly"), + RateLimitService.getCurrentCost(keyId, "key", "monthly"), + SessionTracker.getKeySessionCount(keyId), + ]); + + return { + ok: true, + data: { + cost5h: { current: cost5h, limit: key.limit5hUsd }, + costWeekly: { current: costWeekly, limit: key.limitWeeklyUsd }, + costMonthly: { current: costMonthly, limit: key.limitMonthlyUsd }, + concurrentSessions: { + current: concurrentSessions, + limit: key.limitConcurrentSessions || 0, + }, + }, + }; + } catch (error) { + logger.error("获取密钥限额使用情况失败:", error); + return { ok: false, error: "获取限额使用情况失败" }; + } +} diff --git a/src/actions/providers.ts b/src/actions/providers.ts index 41bb6cf63..30a64e4d5 100644 --- a/src/actions/providers.ts +++ b/src/actions/providers.ts @@ -6,6 +6,7 @@ import { updateProvider, deleteProvider, getProviderStatistics, + findProviderById, } from "@/repository/provider"; import { revalidatePath } from "next/cache"; import { logger } from "@/lib/logger"; @@ -411,3 +412,74 @@ export async function resetProviderCircuit(providerId: number): Promise +> { + try { + const session = await getSession(); + if (!session || session.user.role !== "admin") { + return { ok: false, error: "无权限执行此操作" }; + } + + const provider = await findProviderById(providerId); + if (!provider) { + return { ok: false, error: "供应商不存在" }; + } + + // 动态导入避免循环依赖 + const { RateLimitService } = await import("@/lib/rate-limit"); + const { SessionTracker } = await import("@/lib/session-tracker"); + const { getResetInfo } = await import("@/lib/rate-limit/time-utils"); + + // 获取金额消费（优先 Redis，降级数据库） + const [cost5h, costWeekly, costMonthly, concurrentSessions] = await Promise.all([ + RateLimitService.getCurrentCost(providerId, "provider", "5h"), + RateLimitService.getCurrentCost(providerId, "provider", "weekly"), + RateLimitService.getCurrentCost(providerId, "provider", "monthly"), + SessionTracker.getProviderSessionCount(providerId), + ]); + + // 获取重置时间信息 + const reset5h = getResetInfo("5h"); + const resetWeekly = getResetInfo("weekly"); + const resetMonthly = getResetInfo("monthly"); + + return { + ok: true, + data: { + cost5h: { + current: cost5h, + limit: provider.limit5hUsd, + resetInfo: reset5h.type === "rolling" ? `滚动窗口（${reset5h.period}）` : "自然时间窗口", + }, + costWeekly: { + current: costWeekly, + limit: provider.limitWeeklyUsd, + resetAt: resetWeekly.resetAt!, + }, + costMonthly: { + current: costMonthly, + limit: provider.limitMonthlyUsd, + resetAt: resetMonthly.resetAt!, + }, + concurrentSessions: { + current: concurrentSessions, + limit: provider.limitConcurrentSessions || 0, + }, + }, + }; + } catch (error) { + logger.error("获取供应商限额使用情况失败:", error); + const message = error instanceof Error ? error.message : "获取供应商限额使用情况失败"; + return { ok: false, error: message }; + } +} diff --git a/src/actions/users.ts b/src/actions/users.ts index b4dd31c22..31aa52ddb 100644 --- a/src/actions/users.ts +++ b/src/actions/users.ts @@ -1,6 +1,6 @@ "use server"; -import { findUserList, createUser, updateUser, deleteUser } from "@/repository/user"; +import { findUserList, createUser, updateUser, deleteUser, findUserById } from "@/repository/user"; import { logger } from "@/lib/logger"; import { findKeyList, findKeyUsageToday, findKeysWithStatistics } from "@/repository/key"; import { revalidatePath } from "next/cache"; @@ -83,11 +83,16 @@ export async function getUsers(): Promise { lastUsedAt: stats?.lastUsedAt ?? null, lastProviderName: stats?.lastProviderName ?? null, modelStats: stats?.modelStats ?? [], + // 限额配置 + limit5hUsd: key.limit5hUsd, + limitWeeklyUsd: key.limitWeeklyUsd, + limitMonthlyUsd: key.limitMonthlyUsd, + limitConcurrentSessions: key.limitConcurrentSessions || 0, }; }), }; } catch (error) { - logger.error("获取用户 ${user.id} 的密钥失败:", error); + logger.error(`获取用户 ${user.id} 的密钥失败:`, error); return { id: user.id, name: user.name, @@ -212,3 +217,62 @@ export async function removeUser(userId: number): Promise { return { ok: false, error: message }; } } + +/** + * 获取用户限额使用情况 + */ +export async function getUserLimitUsage(userId: number): Promise< + ActionResult<{ + rpm: { current: number; limit: number; window: "per_minute" }; + dailyCost: { current: number; limit: number; resetAt: Date }; + }> +> { + try { + const session = await getSession(); + if (!session) { + return { ok: false, error: "未登录" }; + } + + const user = await findUserById(userId); + if (!user) { + return { ok: false, error: "用户不存在" }; + } + + // 权限检查：用户只能查看自己，管理员可以查看所有人 + if (session.user.role !== "admin" && session.user.id !== userId) { + return { ok: false, error: "无权限执行此操作" }; + } + + // 动态导入避免循环依赖 + const { sumUserCostToday } = await import("@/repository/statistics"); + const { getDailyResetTime } = await import("@/lib/rate-limit/time-utils"); + + // 获取当前 RPM 使用情况（从 Redis） + // 注意：RPM 是实时的滑动窗口，无法直接获取"当前值"，这里返回 0 + // 实际的 RPM 检查在请求时进行 + const rpmCurrent = 0; // RPM 是动态滑动窗口，此处无法精确获取 + + // 获取每日消费（直接查询数据库） + const dailyCost = await sumUserCostToday(userId); + + return { + ok: true, + data: { + rpm: { + current: rpmCurrent, + limit: user.rpm || 60, + window: "per_minute", + }, + dailyCost: { + current: dailyCost, + limit: user.dailyQuota || 100, + resetAt: getDailyResetTime(), + }, + }, + }; + } catch (error) { + logger.error("获取用户限额使用情况失败:", error); + const message = error instanceof Error ? error.message : "获取用户限额使用情况失败"; + return { ok: false, error: message }; + } +} diff --git a/src/app/dashboard/_components/dashboard-header.tsx b/src/app/dashboard/_components/dashboard-header.tsx index 422e82fe2..b3b6dda3c 100644 --- a/src/app/dashboard/_components/dashboard-header.tsx +++ b/src/app/dashboard/_components/dashboard-header.tsx @@ -14,6 +14,7 @@ const NAV_ITEMS: (DashboardNavItem & { adminOnly?: boolean })[] = [ { href: "/dashboard", label: "仪表盘" }, { href: "/dashboard/logs", label: "使用记录" }, { href: "/dashboard/leaderboard", label: "排行榜" }, + { href: "/dashboard/quotas", label: "限额管理" }, { href: "/usage-doc", label: "文档" }, { href: "/settings", label: "系统设置", adminOnly: true }, { href: "https://github.com/ding113/claude-code-hub/issues", label: "反馈问题", external: true }, diff --git a/src/app/dashboard/_components/user/forms/add-key-form.tsx b/src/app/dashboard/_components/user/forms/add-key-form.tsx index d6a15ac7e..8237e1ab8 100644 --- a/src/app/dashboard/_components/user/forms/add-key-form.tsx +++ b/src/app/dashboard/_components/user/forms/add-key-form.tsx @@ -40,6 +40,11 @@ export function AddKeyForm({ userId, onSuccess }: AddKeyFormProps) { userId: userId!, name: data.name, expiresAt: data.expiresAt || undefined, + canLoginWebUi: data.canLoginWebUi, + limit5hUsd: data.limit5hUsd, + limitWeeklyUsd: data.limitWeeklyUsd, + limitMonthlyUsd: data.limitMonthlyUsd, + limitConcurrentSessions: data.limitConcurrentSessions, }); if (!result.ok) { diff --git a/src/app/dashboard/_components/user/forms/edit-key-form.tsx b/src/app/dashboard/_components/user/forms/edit-key-form.tsx index fff238e04..1e6bf24d8 100644 --- a/src/app/dashboard/_components/user/forms/edit-key-form.tsx +++ b/src/app/dashboard/_components/user/forms/edit-key-form.tsx @@ -58,6 +58,11 @@ export function EditKeyForm({ keyData, onSuccess }: EditKeyFormProps) { const res = await editKey(keyData.id, { name: data.name, expiresAt: data.expiresAt || undefined, + canLoginWebUi: data.canLoginWebUi, + limit5hUsd: data.limit5hUsd, + limitWeeklyUsd: data.limitWeeklyUsd, + limitMonthlyUsd: data.limitMonthlyUsd, + limitConcurrentSessions: data.limitConcurrentSessions, }); if (!res.ok) { toast.error(res.error || "保存失败"); diff --git a/src/app/dashboard/_components/user/key-limit-usage.tsx b/src/app/dashboard/_components/user/key-limit-usage.tsx new file mode 100644 index 000000000..e09a48545 --- /dev/null +++ b/src/app/dashboard/_components/user/key-limit-usage.tsx @@ -0,0 +1,144 @@ +"use client"; + +import { useEffect, useState } from "react"; +import { getKeyLimitUsage } from "@/actions/keys"; +import { formatCurrency, type CurrencyCode } from "@/lib/utils/currency"; +import { Loader2, AlertCircle } from "lucide-react"; +import { Progress } from "@/components/ui/progress"; +import { cn } from "@/lib/utils"; + +interface KeyLimitUsageProps { + keyId: number; + currencyCode?: CurrencyCode; +} + +interface LimitUsageData { + cost5h: { current: number; limit: number | null }; + costWeekly: { current: number; limit: number | null }; + costMonthly: { current: number; limit: number | null }; + concurrentSessions: { current: number; limit: number }; +} + +export function KeyLimitUsage({ keyId, currencyCode = "USD" }: KeyLimitUsageProps) { + const [data, setData] = useState(null); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + + useEffect(() => { + async function fetchData() { + setLoading(true); + setError(null); + + try { + const result = await getKeyLimitUsage(keyId); + if (result.ok) { + setData(result.data); + } else { + // result.ok === false 时，result 是 { ok: false; error: string } + setError(result.error || "获取失败"); + } + } catch { + setError("网络错误"); + } finally { + setLoading(false); + } + } + + void fetchData(); + }, [keyId]); + + if (loading) { + return ( +
+ + 加载中... +
+ ); + } + + if (error) { + return ( +
+ + {error} +
+ ); + } + + if (!data) return null; + + const items = [ + { + label: "5小时消费", + current: data.cost5h.current, + limit: data.cost5h.limit, + isCost: true, + }, + { + label: "周消费", + current: data.costWeekly.current, + limit: data.costWeekly.limit, + isCost: true, + }, + { + label: "月消费", + current: data.costMonthly.current, + limit: data.costMonthly.limit, + isCost: true, + }, + { + label: "并发 Session", + current: data.concurrentSessions.current, + limit: data.concurrentSessions.limit || null, + isCost: false, + }, + ].filter((item) => item.limit !== null && item.limit > 0); // 只显示有限额的项目 + + if (items.length === 0) { + return
无限额限制
; + } + + return ( +
+ {items.map((item) => { + const percentage = item.limit ? Math.min((item.current / item.limit) * 100, 100) : 0; + const isNearLimit = percentage >= 80; + const isAtLimit = percentage >= 100; + + return ( +
+
+ {item.label} + + {item.isCost ? ( + <> + {formatCurrency(item.current, currencyCode)} /{" "} + {formatCurrency(item.limit!, currencyCode)} + + ) : ( + <> + {item.current} / {item.limit} + + )} + +
+ div]:bg-destructive", + isNearLimit && !isAtLimit && "[&>div]:bg-orange-500" + )} + /> +
+ ); + })} +
+ ); +} diff --git a/src/app/dashboard/_components/user/key-list.tsx b/src/app/dashboard/_components/user/key-list.tsx index a63c270a7..8611c3ddc 100644 --- a/src/app/dashboard/_components/user/key-list.tsx +++ b/src/app/dashboard/_components/user/key-list.tsx @@ -4,6 +4,7 @@ import { DataTable, TableColumnTypes } from "@/components/ui/data-table"; import { Button } from "@/components/ui/button"; import { Copy, Check, ExternalLink, ChevronDown, ChevronRight } from "lucide-react"; import { KeyActions } from "./key-actions"; +import { KeyLimitUsage } from "./key-limit-usage"; import type { UserKeyDisplay } from "@/types/user"; import type { User } from "@/types/user"; import { format } from "timeago.js"; @@ -57,54 +58,88 @@ export function KeyList({ keys, currentUser, keyOwnerUserId, currencyCode = "USD const columns = [ TableColumnTypes.text("name", "名称", { - render: (value, record) => ( -
-
{value}
- {record.modelStats.length > 0 && ( - - - + + + {/* 模型统计 */} + {hasModelStats && ( +
+
+ 模型统计 ({record.modelStats.length}) +
+
+ + + + 模型 + 调用次数 + 消耗 + + + + {record.modelStats.map((stat) => ( + + + {stat.model} + + + {stat.callCount} + + + {formatCurrency(stat.totalCost, currencyCode)} + + + ))} + +
+
+
)} - 模型统计 ({record.modelStats.length}) - - - -
- - - - 模型 - 调用次数 - 消耗 - - - - {record.modelStats.map((stat) => ( - - {stat.model} - - {stat.callCount} - - - {formatCurrency(stat.totalCost, currencyCode)} - - - ))} - -
-
- - - )} -
- ), + + {/* 限额使用情况 */} + {hasLimitConfig && ( +
+
+ 限额使用情况 +
+
+ +
+
+ )} + + + )} +
+ ); + }, }), TableColumnTypes.text("maskedKey", "Key", { render: (_, record: UserKeyDisplay) => ( diff --git a/src/app/dashboard/quotas/keys/_components/edit-key-quota-dialog.tsx b/src/app/dashboard/quotas/keys/_components/edit-key-quota-dialog.tsx new file mode 100644 index 000000000..28c788b66 --- /dev/null +++ b/src/app/dashboard/quotas/keys/_components/edit-key-quota-dialog.tsx @@ -0,0 +1,243 @@ +"use client"; + +import { useState, useTransition } from "react"; +import { useRouter } from "next/navigation"; +import { + Dialog, + DialogContent, + DialogDescription, + DialogFooter, + DialogHeader, + DialogTitle, + DialogTrigger, +} from "@/components/ui/dialog"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { Label } from "@/components/ui/label"; +import { Settings, Loader2 } from "lucide-react"; +import { editKey } from "@/actions/keys"; +import { toast } from "sonner"; +import { type CurrencyCode, CURRENCY_CONFIG } from "@/lib/utils/currency"; + +interface KeyQuota { + cost5h: { current: number; limit: number | null }; + costWeekly: { current: number; limit: number | null }; + costMonthly: { current: number; limit: number | null }; + concurrentSessions: { current: number; limit: number }; +} + +interface EditKeyQuotaDialogProps { + keyId: number; + keyName: string; + userName: string; + currentQuota: KeyQuota | null; + currencyCode?: CurrencyCode; + trigger?: React.ReactNode; +} + +export function EditKeyQuotaDialog({ + keyId, + keyName, + userName, + currentQuota, + currencyCode = "USD", + trigger, +}: EditKeyQuotaDialogProps) { + const router = useRouter(); + const [isPending, startTransition] = useTransition(); + const [open, setOpen] = useState(false); + + const currencySymbol = CURRENCY_CONFIG[currencyCode].symbol; + + // 表单状态 + const [limit5h, setLimit5h] = useState(currentQuota?.cost5h.limit?.toString() ?? ""); + const [limitWeekly, setLimitWeekly] = useState( + currentQuota?.costWeekly.limit?.toString() ?? "" + ); + const [limitMonthly, setLimitMonthly] = useState( + currentQuota?.costMonthly.limit?.toString() ?? "" + ); + const [limitConcurrent, setLimitConcurrent] = useState( + currentQuota?.concurrentSessions.limit?.toString() ?? "0" + ); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + + startTransition(async () => { + try { + // 将空字符串转换为 null，数字字符串转换为数字 + const result = await editKey(keyId, { + name: keyName, // 保持名称不变 + limit5hUsd: limit5h ? parseFloat(limit5h) : null, + limitWeeklyUsd: limitWeekly ? parseFloat(limitWeekly) : null, + limitMonthlyUsd: limitMonthly ? parseFloat(limitMonthly) : null, + limitConcurrentSessions: limitConcurrent ? parseInt(limitConcurrent, 10) : 0, + }); + + if (result.ok) { + toast.success("限额设置成功"); + setOpen(false); + router.refresh(); + } else { + toast.error(result.error || "设置失败"); + } + } catch (error) { + toast.error("设置失败，请稍后重试"); + console.error(error); + } + }); + }; + + const handleClearQuota = () => { + startTransition(async () => { + try { + const result = await editKey(keyId, { + name: keyName, + limit5hUsd: null, + limitWeeklyUsd: null, + limitMonthlyUsd: null, + limitConcurrentSessions: 0, + }); + + if (result.ok) { + toast.success("限额已清除"); + setOpen(false); + router.refresh(); + } else { + toast.error(result.error || "清除失败"); + } + } catch (error) { + toast.error("清除失败，请稍后重试"); + console.error(error); + } + }); + }; + + return ( + + + {trigger || ( + + )} + + +
+ + 设置密钥限额 + + 密钥: {keyName} ({userName}) + + + +
+ {/* 5小时限额 */} +
+ + setLimit5h(e.target.value)} + /> + {currentQuota?.cost5h.limit && ( +

+ 当前已用: {currencySymbol} + {currentQuota.cost5h.current.toFixed(4)} / {currencySymbol} + {currentQuota.cost5h.limit.toFixed(2)} +

+ )} +
+ + {/* 周限额 */} +
+ + setLimitWeekly(e.target.value)} + /> + {currentQuota?.costWeekly.limit && ( +

+ 当前已用: {currencySymbol} + {currentQuota.costWeekly.current.toFixed(4)} / {currencySymbol} + {currentQuota.costWeekly.limit.toFixed(2)} +

+ )} +
+ + {/* 月限额 */} +
+ + setLimitMonthly(e.target.value)} + /> + {currentQuota?.costMonthly.limit && ( +

+ 当前已用: {currencySymbol} + {currentQuota.costMonthly.current.toFixed(4)} / {currencySymbol} + {currentQuota.costMonthly.limit.toFixed(2)} +

+ )} +
+ + {/* 并发限额 */} +
+ + setLimitConcurrent(e.target.value)} + /> + {currentQuota && currentQuota.concurrentSessions.limit > 0 && ( +

+ 当前并发: {currentQuota.concurrentSessions.current} /{" "} + {currentQuota.concurrentSessions.limit} +

+ )} +
+
+ + + {(currentQuota?.cost5h.limit || + currentQuota?.costWeekly.limit || + currentQuota?.costMonthly.limit || + (currentQuota?.concurrentSessions.limit ?? 0) > 0) && ( + + )} + + +
+ + + ); +} diff --git a/src/app/dashboard/quotas/keys/_components/keys-quota-client.tsx b/src/app/dashboard/quotas/keys/_components/keys-quota-client.tsx new file mode 100644 index 000000000..77e247039 --- /dev/null +++ b/src/app/dashboard/quotas/keys/_components/keys-quota-client.tsx @@ -0,0 +1,355 @@ +"use client"; + +import { useState, useMemo } from "react"; +import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; +import { Progress } from "@/components/ui/progress"; +import { Badge } from "@/components/ui/badge"; +import { Button } from "@/components/ui/button"; +import { Collapsible, CollapsibleContent, CollapsibleTrigger } from "@/components/ui/collapsible"; +import { ChevronDown, ChevronRight } from "lucide-react"; +import { formatCurrency, type CurrencyCode } from "@/lib/utils/currency"; +import { formatDistanceToNow } from "date-fns"; +import { zhCN } from "date-fns/locale"; +import { getResetInfo } from "@/lib/rate-limit/time-utils"; +import { EditKeyQuotaDialog } from "./edit-key-quota-dialog"; + +interface KeyQuota { + cost5h: { current: number; limit: number | null }; + costWeekly: { current: number; limit: number | null }; + costMonthly: { current: number; limit: number | null }; + concurrentSessions: { current: number; limit: number }; +} + +interface KeyWithQuota { + id: number; + name: string; + status: string; + expiresAt: string | null; + quota: KeyQuota | null; +} + +interface UserWithKeys { + id: number; + name: string; + role: string; + keys: KeyWithQuota[]; +} + +interface KeysQuotaClientProps { + users: UserWithKeys[]; + currencyCode?: CurrencyCode; +} + +// 判断密钥是否已设置限额 +function hasQuotaSet(key: KeyWithQuota): boolean { + if (!key.quota) return false; + return !!( + key.quota.cost5h.limit || + key.quota.costWeekly.limit || + key.quota.costMonthly.limit || + key.quota.concurrentSessions.limit > 0 + ); +} + +export function KeysQuotaClient({ users, currencyCode = "USD" }: KeysQuotaClientProps) { + // 默认展开所有用户组 + const [openUsers, setOpenUsers] = useState>(new Set(users.map((user) => user.id))); + // 默认折叠未设置限额区域 + const [showUnsetQuota, setShowUnsetQuota] = useState(false); + + const weeklyReset = getResetInfo("weekly"); + const monthlyReset = getResetInfo("monthly"); + + const toggleUser = (userId: number) => { + setOpenUsers((prev) => { + const newSet = new Set(prev); + if (newSet.has(userId)) { + newSet.delete(userId); + } else { + newSet.add(userId); + } + return newSet; + }); + }; + + // 将用户的密钥分为已设置限额和未设置限额两类 + const { usersWithSetQuota, usersWithUnsetQuota } = useMemo(() => { + const withSet: UserWithKeys[] = []; + const withUnset: UserWithKeys[] = []; + + users.forEach((user) => { + const keysWithQuota = user.keys.filter(hasQuotaSet); + const keysWithoutQuota = user.keys.filter((key) => !hasQuotaSet(key)); + + if (keysWithQuota.length > 0) { + withSet.push({ ...user, keys: keysWithQuota }); + } + if (keysWithoutQuota.length > 0) { + withUnset.push({ ...user, keys: keysWithoutQuota }); + } + }); + + return { usersWithSetQuota: withSet, usersWithUnsetQuota: withUnset }; + }, [users]); + + const totalUnsetKeys = usersWithUnsetQuota.reduce((sum, user) => sum + user.keys.length, 0); + + if (users.length === 0) { + return ( + + +

没有匹配的用户或密钥

+ + + ); + } + + return ( +
+ {/* 已设置限额的密钥 */} + {usersWithSetQuota.length > 0 && ( +
+ {usersWithSetQuota.map((user) => ( + + toggleUser(user.id)}> + + +
+ {openUsers.has(user.id) ? ( + + ) : ( + + )} +
+ {user.name} + + {user.role} + +
+
+
{user.keys.length} 个密钥
+ + + + + +
+ {user.keys.map((key) => ( + + +
+ {key.name} + + {key.status === "enabled" ? "启用" : "禁用"} + +
+ + {key.expiresAt ? `过期: ${key.expiresAt}` : "永久有效"} + + + + {key.quota ? ( + <> + {/* 5小时消费 */} + {key.quota.cost5h.limit && key.quota.cost5h.limit > 0 && ( +
+
+ 5小时消费 + + {formatCurrency(key.quota.cost5h.current, currencyCode)} /{" "} + {formatCurrency(key.quota.cost5h.limit, currencyCode)} + +
+ +

+ 滚动窗口（过去5小时） +

+
+ )} + + {/* 周消费 */} + {key.quota.costWeekly.limit && key.quota.costWeekly.limit > 0 && ( +
+
+ 周消费 + + {formatCurrency(key.quota.costWeekly.current, currencyCode)}{" "} + / {formatCurrency(key.quota.costWeekly.limit, currencyCode)} + +
+ +

+ 重置于{" "} + {formatDistanceToNow(weeklyReset.resetAt!, { + addSuffix: true, + locale: zhCN, + })} +

+
+ )} + + {/* 月消费 */} + {key.quota.costMonthly.limit && key.quota.costMonthly.limit > 0 && ( +
+
+ 月消费 + + {formatCurrency( + key.quota.costMonthly.current, + currencyCode + )}{" "} + /{" "} + {formatCurrency(key.quota.costMonthly.limit, currencyCode)} + +
+ +

+ 重置于{" "} + {formatDistanceToNow(monthlyReset.resetAt!, { + addSuffix: true, + locale: zhCN, + })} +

+
+ )} + + {/* 并发 Session */} + {key.quota.concurrentSessions.limit > 0 && ( +
+
+ 并发 Session + + {key.quota.concurrentSessions.current} /{" "} + {key.quota.concurrentSessions.limit} + +
+ +
+ )} + + {/* 设置限额按钮 */} + + + ) : ( +

无法获取限额信息

+ )} + + + ))} +
+ + + + + ))} +
+ )} + + {/* 未设置限额的密钥（折叠收纳到底部） */} + {totalUnsetKeys > 0 && ( + + + + +
+ {showUnsetQuota ? ( + + ) : ( + + )} + 未设置限额的密钥 +
+
{totalUnsetKeys} 个密钥
+ + + + + +
+ {usersWithUnsetQuota.map((user) => + user.keys.map((key) => ( +
+
+
+
+ {key.name} + + {key.status === "enabled" ? "启用" : "禁用"} + +
+

+ {user.name} · {key.expiresAt || "永久有效"} +

+
+
+ + 设置限额 + + } + /> +
+ )) + )} +
+ + + + + )} + + {usersWithSetQuota.length === 0 && totalUnsetKeys === 0 && ( + + +

没有匹配的密钥

+ + + )} +
+ ); +} diff --git a/src/app/dashboard/quotas/keys/_components/keys-quota-manager.tsx b/src/app/dashboard/quotas/keys/_components/keys-quota-manager.tsx new file mode 100644 index 000000000..6d1d480a6 --- /dev/null +++ b/src/app/dashboard/quotas/keys/_components/keys-quota-manager.tsx @@ -0,0 +1,88 @@ +"use client"; + +import { useState, useMemo } from "react"; +import { KeysQuotaClient } from "./keys-quota-client"; +import { Input } from "@/components/ui/input"; +import { Search } from "lucide-react"; +import type { CurrencyCode } from "@/lib/utils/currency"; + +interface KeyQuota { + cost5h: { current: number; limit: number | null }; + costWeekly: { current: number; limit: number | null }; + costMonthly: { current: number; limit: number | null }; + concurrentSessions: { current: number; limit: number }; +} + +interface KeyWithQuota { + id: number; + name: string; + status: string; + expiresAt: string | null; + quota: KeyQuota | null; +} + +interface UserWithKeys { + id: number; + name: string; + role: string; + keys: KeyWithQuota[]; +} + +interface KeysQuotaManagerProps { + users: UserWithKeys[]; + currencyCode?: CurrencyCode; +} + +export function KeysQuotaManager({ users, currencyCode = "USD" }: KeysQuotaManagerProps) { + const [searchQuery, setSearchQuery] = useState(""); + + // 搜索过滤：支持搜索用户名和密钥名 + const filteredUsers = useMemo(() => { + if (!searchQuery) return users; + + const lowerQuery = searchQuery.toLowerCase(); + return users + .map((user) => { + // 检查用户名是否匹配 + const userNameMatches = user.name.toLowerCase().includes(lowerQuery); + + // 筛选匹配的密钥 + const matchedKeys = user.keys.filter((key) => key.name.toLowerCase().includes(lowerQuery)); + + // 如果用户名匹配，显示所有密钥；否则只显示匹配的密钥 + if (userNameMatches) { + return user; + } else if (matchedKeys.length > 0) { + return { ...user, keys: matchedKeys }; + } + return null; + }) + .filter((user): user is UserWithKeys => user !== null); + }, [users, searchQuery]); + + // 统计信息 + const totalFilteredKeys = filteredUsers.reduce((sum, user) => sum + user.keys.length, 0); + + return ( +
+ {/* 搜索框 */} +
+
+ + setSearchQuery(e.target.value)} + className="pl-9" + /> +
+
+ 显示 {filteredUsers.length} 个用户，{totalFilteredKeys} 个密钥 +
+
+ + {/* 按用户分组的密钥列表 */} + +
+ ); +} diff --git a/src/app/dashboard/quotas/keys/page.tsx b/src/app/dashboard/quotas/keys/page.tsx new file mode 100644 index 000000000..baf641307 --- /dev/null +++ b/src/app/dashboard/quotas/keys/page.tsx @@ -0,0 +1,57 @@ +import { getUsers } from "@/actions/users"; +import { getKeyLimitUsage } from "@/actions/keys"; +import { KeysQuotaManager } from "./_components/keys-quota-manager"; +import { getSystemSettings } from "@/repository/system-config"; + +async function getUsersWithKeysQuotas() { + const users = await getUsers(); + + const usersWithKeysQuotas = await Promise.all( + users.map(async (user) => { + const keysWithQuotas = await Promise.all( + user.keys.map(async (key) => { + const result = await getKeyLimitUsage(key.id); + return { + id: key.id, + name: key.name, + status: key.status, + expiresAt: key.expiresAt, + quota: result.ok ? result.data : null, + }; + }) + ); + + return { + id: user.id, + name: user.name, + role: user.role, + keys: keysWithQuotas, + }; + }) + ); + + return usersWithKeysQuotas; +} + +export default async function KeysQuotaPage() { + const [users, systemSettings] = await Promise.all([ + getUsersWithKeysQuotas(), + getSystemSettings(), + ]); + const totalKeys = users.reduce((sum, user) => sum + user.keys.length, 0); + + return ( +
+
+
+

密钥限额统计

+

+ 共 {users.length} 个用户，{totalKeys} 个密钥 +

+
+
+ + +
+ ); +} diff --git a/src/app/dashboard/quotas/layout.tsx b/src/app/dashboard/quotas/layout.tsx new file mode 100644 index 000000000..54c3ae026 --- /dev/null +++ b/src/app/dashboard/quotas/layout.tsx @@ -0,0 +1,29 @@ +import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs"; +import Link from "next/link"; + +export default function QuotasLayout({ children }: { children: React.ReactNode }) { + return ( +
+
+

限额管理

+

查看和管理所有层级的限额使用情况

+
+ + + + + 用户限额 + + + 密钥限额 + + + 供应商限额 + + + + {children} + +
+ ); +} diff --git a/src/app/dashboard/quotas/page.tsx b/src/app/dashboard/quotas/page.tsx new file mode 100644 index 000000000..1de594a09 --- /dev/null +++ b/src/app/dashboard/quotas/page.tsx @@ -0,0 +1,5 @@ +import { redirect } from "next/navigation"; + +export default function QuotasPage() { + redirect("/dashboard/quotas/users"); +} diff --git a/src/app/dashboard/quotas/providers/_components/providers-quota-client.tsx b/src/app/dashboard/quotas/providers/_components/providers-quota-client.tsx new file mode 100644 index 000000000..107e096ea --- /dev/null +++ b/src/app/dashboard/quotas/providers/_components/providers-quota-client.tsx @@ -0,0 +1,193 @@ +"use client"; + +import { useMemo } from "react"; +import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; +import { Progress } from "@/components/ui/progress"; +import { Badge } from "@/components/ui/badge"; +import { formatCurrency, type CurrencyCode } from "@/lib/utils/currency"; +import { formatDistanceToNow } from "date-fns"; +import { zhCN } from "date-fns/locale"; +import type { ProviderType } from "@/types/provider"; + +interface ProviderQuota { + cost5h: { current: number; limit: number | null; resetInfo: string }; + costWeekly: { current: number; limit: number | null; resetAt: Date }; + costMonthly: { current: number; limit: number | null; resetAt: Date }; + concurrentSessions: { current: number; limit: number }; +} + +interface ProviderWithQuota { + id: number; + name: string; + providerType: ProviderType; + isEnabled: boolean; + priority: number; + weight: number; + quota: ProviderQuota | null; +} + +interface ProvidersQuotaClientProps { + providers: ProviderWithQuota[]; + typeFilter?: ProviderType | "all"; + currencyCode?: CurrencyCode; +} + +export function ProvidersQuotaClient({ + providers, + typeFilter = "all", + currencyCode = "USD", +}: ProvidersQuotaClientProps) { + // 筛选供应商 + const filteredProviders = useMemo(() => { + if (typeFilter === "all") { + return providers; + } + return providers.filter((provider) => provider.providerType === typeFilter); + }, [providers, typeFilter]); + + return ( + <> +
+ {filteredProviders.map((provider) => ( + + +
+ {provider.name} +
+ + {provider.isEnabled ? "启用" : "禁用"} + + {provider.providerType} +
+
+ + 优先级: {provider.priority} · 权重: {provider.weight} + + + + {provider.quota ? ( + <> + {/* 5小时消费 */} + {provider.quota.cost5h.limit && provider.quota.cost5h.limit > 0 && ( +
+
+ 5小时消费 + + {formatCurrency(provider.quota.cost5h.current, currencyCode)} /{" "} + {formatCurrency(provider.quota.cost5h.limit, currencyCode)} + +
+ +

+ {provider.quota.cost5h.resetInfo} +

+
+ )} + + {/* 周消费 */} + {provider.quota.costWeekly.limit && provider.quota.costWeekly.limit > 0 && ( +
+
+ 周消费 + + {formatCurrency(provider.quota.costWeekly.current, currencyCode)} /{" "} + {formatCurrency(provider.quota.costWeekly.limit, currencyCode)} + +
+ +

+ 重置于{" "} + {formatDistanceToNow(new Date(provider.quota.costWeekly.resetAt), { + addSuffix: true, + locale: zhCN, + })} +

+
+ )} + + {/* 月消费 */} + {provider.quota.costMonthly.limit && provider.quota.costMonthly.limit > 0 && ( +
+
+ 月消费 + + {formatCurrency(provider.quota.costMonthly.current, currencyCode)} /{" "} + {formatCurrency(provider.quota.costMonthly.limit, currencyCode)} + +
+ +

+ 重置于{" "} + {formatDistanceToNow(new Date(provider.quota.costMonthly.resetAt), { + addSuffix: true, + locale: zhCN, + })} +

+
+ )} + + {/* 并发 Session */} + {provider.quota.concurrentSessions.limit > 0 && ( +
+
+ 并发 Session + + {provider.quota.concurrentSessions.current} /{" "} + {provider.quota.concurrentSessions.limit} + +
+ +
+ )} + + {!provider.quota.cost5h.limit && + !provider.quota.costWeekly.limit && + !provider.quota.costMonthly.limit && + provider.quota.concurrentSessions.limit === 0 && ( +

未设置限额

+ )} + + ) : ( +

无法获取限额信息

+ )} + + + ))} +
+ + {filteredProviders.length === 0 && ( + + +

没有匹配的供应商

+ + + )} + + ); +} diff --git a/src/app/dashboard/quotas/providers/_components/providers-quota-manager.tsx b/src/app/dashboard/quotas/providers/_components/providers-quota-manager.tsx new file mode 100644 index 000000000..dba6a5b2b --- /dev/null +++ b/src/app/dashboard/quotas/providers/_components/providers-quota-manager.tsx @@ -0,0 +1,61 @@ +"use client"; + +import { useState } from "react"; +import { ProviderTypeFilter } from "@/app/settings/providers/_components/provider-type-filter"; +import { ProvidersQuotaClient } from "./providers-quota-client"; +import type { ProviderType } from "@/types/provider"; +import type { CurrencyCode } from "@/lib/utils/currency"; + +interface ProviderQuota { + cost5h: { current: number; limit: number | null; resetInfo: string }; + costWeekly: { current: number; limit: number | null; resetAt: Date }; + costMonthly: { current: number; limit: number | null; resetAt: Date }; + concurrentSessions: { current: number; limit: number }; +} + +interface ProviderWithQuota { + id: number; + name: string; + providerType: ProviderType; + isEnabled: boolean; + priority: number; + weight: number; + quota: ProviderQuota | null; +} + +interface ProvidersQuotaManagerProps { + providers: ProviderWithQuota[]; + currencyCode?: CurrencyCode; +} + +export function ProvidersQuotaManager({ + providers, + currencyCode = "USD", +}: ProvidersQuotaManagerProps) { + const [typeFilter, setTypeFilter] = useState("all"); + + // 计算筛选后的供应商数量 + const filteredCount = + typeFilter === "all" + ? providers.length + : providers.filter((p) => p.providerType === typeFilter).length; + + return ( +
+ {/* 类型筛选器 */} +
+ +
+ 显示 {filteredCount} / {providers.length} 个供应商 +
+
+ + {/* 供应商列表 */} + +
+ ); +} diff --git a/src/app/dashboard/quotas/providers/page.tsx b/src/app/dashboard/quotas/providers/page.tsx new file mode 100644 index 000000000..df4b37f7a --- /dev/null +++ b/src/app/dashboard/quotas/providers/page.tsx @@ -0,0 +1,45 @@ +import { getProviders } from "@/actions/providers"; +import { getProviderLimitUsage } from "@/actions/providers"; +import { ProvidersQuotaManager } from "./_components/providers-quota-manager"; +import { getSystemSettings } from "@/repository/system-config"; + +async function getProvidersWithQuotas() { + const providers = await getProviders(); + + const providersWithQuotas = await Promise.all( + providers.map(async (provider) => { + const result = await getProviderLimitUsage(provider.id); + return { + id: provider.id, + name: provider.name, + providerType: provider.providerType, + isEnabled: provider.isEnabled, + priority: provider.priority, + weight: provider.weight, + quota: result.ok ? result.data : null, + }; + }) + ); + + return providersWithQuotas; +} + +export default async function ProvidersQuotaPage() { + const [providers, systemSettings] = await Promise.all([ + getProvidersWithQuotas(), + getSystemSettings(), + ]); + + return ( +
+
+
+

供应商限额统计

+

共 {providers.length} 个供应商

+
+
+ + +
+ ); +} diff --git a/src/app/dashboard/quotas/users/_components/users-quota-client.tsx b/src/app/dashboard/quotas/users/_components/users-quota-client.tsx new file mode 100644 index 000000000..fcb72c252 --- /dev/null +++ b/src/app/dashboard/quotas/users/_components/users-quota-client.tsx @@ -0,0 +1,155 @@ +"use client"; + +import { useMemo } from "react"; +import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; +import { Badge } from "@/components/ui/badge"; +import { QuotaProgress } from "@/components/quota/quota-progress"; +import { formatCurrency, type CurrencyCode } from "@/lib/utils/currency"; +import { formatDistanceToNow } from "date-fns"; +import { zhCN } from "date-fns/locale"; +import { Progress } from "@/components/ui/progress"; + +interface UserQuota { + rpm: { current: number; limit: number; window: "per_minute" }; + dailyCost: { current: number; limit: number; resetAt: Date }; +} + +interface UserWithQuota { + id: number; + name: string; + note?: string; + role: string; + quota: UserQuota | null; +} + +interface UsersQuotaClientProps { + users: UserWithQuota[]; + currencyCode?: CurrencyCode; + searchQuery?: string; + sortBy?: "name" | "usage"; + filter?: "all" | "warning" | "exceeded"; +} + +export function UsersQuotaClient({ + users, + currencyCode = "USD", + searchQuery = "", + sortBy = "name", + filter = "all", +}: UsersQuotaClientProps) { + // 计算使用率（用于排序和筛选） + const usersWithUsage = useMemo(() => { + return users.map((user) => { + const dailyUsage = user.quota?.dailyCost.limit + ? (user.quota.dailyCost.current / user.quota.dailyCost.limit) * 100 + : 0; + return { ...user, usagePercentage: dailyUsage }; + }); + }, [users]); + + // 筛选 + const filteredUsers = useMemo(() => { + let result = usersWithUsage; + + // 搜索 + if (searchQuery) { + result = result.filter((user) => user.name.toLowerCase().includes(searchQuery.toLowerCase())); + } + + // 状态筛选 + if (filter === "warning") { + result = result.filter((user) => user.usagePercentage >= 60 && user.usagePercentage < 100); + } else if (filter === "exceeded") { + result = result.filter((user) => user.usagePercentage >= 100); + } + + return result; + }, [usersWithUsage, searchQuery, filter]); + + // 排序 + const sortedUsers = useMemo(() => { + const sorted = [...filteredUsers]; + if (sortBy === "name") { + sorted.sort((a, b) => a.name.localeCompare(b.name, "zh-CN")); + } else if (sortBy === "usage") { + sorted.sort((a, b) => b.usagePercentage - a.usagePercentage); + } + return sorted; + }, [filteredUsers, sortBy]); + + return ( + <> +
+ {sortedUsers.map((user) => ( + + +
+ {user.name} + {user.role} +
+ {user.note || "无备注"} + + + {user.quota ? ( + <> + {/* RPM 限额 */} +
+
+ RPM 限额 + + {user.quota.rpm.current} / {user.quota.rpm.limit} + +
+ 0 + ? (user.quota.rpm.current / user.quota.rpm.limit) * 100 + : 0 + } + className="h-2" + /> +

每分钟请求数

+
+ + {/* 每日消费限额 */} +
+
+ 每日消费 + + {formatCurrency(user.quota.dailyCost.current, currencyCode)} /{" "} + {formatCurrency(user.quota.dailyCost.limit, currencyCode)} + +
+ +

+ 重置于{" "} + {formatDistanceToNow(new Date(user.quota.dailyCost.resetAt), { + addSuffix: true, + locale: zhCN, + })} +

+
+ + ) : ( +

无法获取限额信息

+ )} + + + ))} +
+ + {sortedUsers.length === 0 && ( + + +

+ {searchQuery ? "未找到匹配的用户" : "暂无用户数据"} +

+ + + )} + + ); +} diff --git a/src/app/dashboard/quotas/users/page.tsx b/src/app/dashboard/quotas/users/page.tsx new file mode 100644 index 000000000..5a9371bb5 --- /dev/null +++ b/src/app/dashboard/quotas/users/page.tsx @@ -0,0 +1,53 @@ +import { getUsers } from "@/actions/users"; +import { getUserLimitUsage } from "@/actions/users"; +import { QuotaToolbar } from "@/components/quota/quota-toolbar"; +import { UsersQuotaClient } from "./_components/users-quota-client"; +import { getSystemSettings } from "@/repository/system-config"; + +async function getUsersWithQuotas() { + const users = await getUsers(); + + const usersWithQuotas = await Promise.all( + users.map(async (user) => { + const result = await getUserLimitUsage(user.id); + return { + id: user.id, + name: user.name, + note: user.note, + role: user.role, + quota: result.ok ? result.data : null, + }; + }) + ); + + return usersWithQuotas; +} + +export default async function UsersQuotaPage() { + const [users, systemSettings] = await Promise.all([getUsersWithQuotas(), getSystemSettings()]); + + return ( +
+
+
+

用户限额统计

+

共 {users.length} 个用户

+
+
+ + 60%)" }, + { value: "exceeded", label: "已超限 (≥100%)" }, + ]} + /> + + +
+ ); +} diff --git a/src/app/settings/providers/_components/provider-list-item.tsx b/src/app/settings/providers/_components/provider-list-item.tsx index 40ee6eb45..231539c5f 100644 --- a/src/app/settings/providers/_components/provider-list-item.tsx +++ b/src/app/settings/providers/_components/provider-list-item.tsx @@ -4,12 +4,11 @@ import { useRouter } from "next/navigation"; import { Button } from "@/components/ui/button"; import { Dialog, DialogContent, DialogTrigger } from "@/components/ui/dialog"; import { Badge } from "@/components/ui/badge"; -import { Edit, Globe, Key, RotateCcw, Copy, ServerCog } from "lucide-react"; +import { Edit, Globe, Key, RotateCcw, Copy } from "lucide-react"; import type { ProviderDisplay } from "@/types/provider"; import type { User } from "@/types/user"; import { getProviderTypeConfig } from "@/lib/provider-type-utils"; import { ProviderForm } from "./forms/provider-form"; -import { AddProviderDialog } from "./add-provider-dialog"; import { Switch } from "@/components/ui/switch"; import { Popover, PopoverContent, PopoverTrigger } from "@/components/ui/popover"; import { Slider } from "@/components/ui/slider"; diff --git a/src/app/usage-doc/page.tsx b/src/app/usage-doc/page.tsx index b18e2ece0..d56749353 100644 --- a/src/app/usage-doc/page.tsx +++ b/src/app/usage-doc/page.tsx @@ -1,7 +1,6 @@ "use client"; import { useState, useEffect } from "react"; -import { cn } from "@/lib/utils"; import { Menu } from "lucide-react"; import { Sheet, SheetContent, SheetHeader, SheetTitle, SheetTrigger } from "@/components/ui/sheet"; import { Button } from "@/components/ui/button"; @@ -244,13 +243,6 @@ npm --version`} * 渲染 Claude Code 配置 */ const renderClaudeCodeConfiguration = (os: OS) => { - const lang = os === "windows" ? "powershell" : "bash"; - const configDir = - os === "windows" - ? "C:\\Users\\你的用户名\\.claude" - : os === "macos" - ? "~/.claude" - : "~/.claude"; const configPath = os === "windows" ? "C:\\Users\\你的用户名\\.claude\\settings.json" diff --git a/src/app/v1/_lib/codex/utils/request-sanitizer.ts b/src/app/v1/_lib/codex/utils/request-sanitizer.ts index 2d0108433..77db34440 100644 --- a/src/app/v1/_lib/codex/utils/request-sanitizer.ts +++ b/src/app/v1/_lib/codex/utils/request-sanitizer.ts @@ -11,6 +11,22 @@ import { logger } from "@/lib/logger"; import { getDefaultInstructions } from "../../codex/constants/codex-instructions"; +/** + * 功能开关：是否启用 Codex Instructions 注入 + * + * 用途：控制是否强制替换请求中的 instructions 字段为官方完整 prompt + * + * - true：强制替换 instructions（约 4000+ 字完整 prompt） + * - false (默认)：保持原样透传，不修改 instructions + * + * 注意： + * - 某些 Codex 供应商可能要求必须包含官方 instructions + * - 如果代理请求失败，可以尝试启用此开关 + * - 官方 Codex CLI 客户端会自动包含完整 instructions，不需要注入 + */ +export const ENABLE_CODEX_INSTRUCTIONS_INJECTION = + process.env.ENABLE_CODEX_INSTRUCTIONS_INJECTION === "true" || false; + /** * 检测是否为官方 Codex CLI 客户端 * @@ -61,17 +77,27 @@ export function sanitizeCodexRequest( ): Record { const output = { ...request }; - // 步骤 1: 强制替换 instructions 为官方完整 prompt - // 无论请求中是否包含 instructions，都要替换为官方版本 - // 这是 Codex 供应商的强制要求（约 4000+ 字完整 prompt） - const officialInstructions = getDefaultInstructions(model); - output.instructions = officialInstructions; + // 步骤 1: 根据开关决定是否替换 instructions + if (ENABLE_CODEX_INSTRUCTIONS_INJECTION) { + // 开关启用：强制替换 instructions 为官方完整 prompt + // 某些 Codex 供应商可能要求必须有完整 instructions（约 4000+ 字） + const officialInstructions = getDefaultInstructions(model); + output.instructions = officialInstructions; - logger.debug("[CodexSanitizer] Instructions replaced with official prompt", { - model, - instructionsLength: officialInstructions.length, - instructionsPreview: officialInstructions.substring(0, 100) + "...", - }); + logger.info("[CodexSanitizer] Instructions injection enabled, replaced with official prompt", { + model, + instructionsLength: officialInstructions.length, + instructionsPreview: officialInstructions.substring(0, 100) + "...", + }); + } else { + // 开关关闭（默认）：保持原样透传 + logger.info("[CodexSanitizer] Instructions injection disabled, keeping original instructions", { + model, + hasInstructions: !!output.instructions, + originalInstructionsLength: + typeof output.instructions === "string" ? output.instructions.length : 0, + }); + } // 步骤 2: 删除 Codex 不支持的参数 // 参考 CLIProxyAPI 和 OpenAI → Codex 转换器 diff --git a/src/app/v1/_lib/proxy/provider-selector.ts b/src/app/v1/_lib/proxy/provider-selector.ts index 598fe4829..4f5572c1e 100644 --- a/src/app/v1/_lib/proxy/provider-selector.ts +++ b/src/app/v1/_lib/proxy/provider-selector.ts @@ -355,6 +355,19 @@ export class ProxyProviderResolver { return null; } + // 检查用户分组（如果用户指定了分组，供应商必须属于该分组） + const userGroup = session.authState?.user?.providerGroup; + if (userGroup && provider.groupTag !== userGroup) { + logger.debug("ProviderSelector: Session provider group mismatch", { + sessionId: session.sessionId, + providerId: provider.id, + providerName: provider.name, + providerGroup: provider.groupTag || "none", + userGroup, + }); + return null; + } + logger.info("ProviderSelector: Reusing provider", { providerName: provider.name, providerId: provider.id, diff --git a/src/app/v1/_lib/proxy/rate-limit-guard.ts b/src/app/v1/_lib/proxy/rate-limit-guard.ts index 4b8867bea..340fc705b 100644 --- a/src/app/v1/_lib/proxy/rate-limit-guard.ts +++ b/src/app/v1/_lib/proxy/rate-limit-guard.ts @@ -1,15 +1,36 @@ import type { ProxySession } from "./session"; import { RateLimitService } from "@/lib/rate-limit"; +import { logger } from "@/lib/logger"; export class ProxyRateLimitGuard { /** - * 检查 Key 限流 + * 检查限流（用户层 + Key 层） */ static async ensure(session: ProxySession): Promise { + const user = session.authState?.user; const key = session.authState?.key; - if (!key) return null; - // 1. 检查金额限制 + if (!user || !key) return null; + + // ========== 用户层限流检查 ========== + + // 1. 检查用户 RPM 限制 + const rpmCheck = await RateLimitService.checkUserRPM(user.id, user.rpm); + if (!rpmCheck.allowed) { + logger.warn(`[RateLimit] User RPM exceeded: user=${user.id}, ${rpmCheck.reason}`); + return this.buildRateLimitResponse(user.id, "user", rpmCheck.reason!); + } + + // 2. 检查用户每日额度 + const dailyCheck = await RateLimitService.checkUserDailyCost(user.id, user.dailyQuota); + if (!dailyCheck.allowed) { + logger.warn(`[RateLimit] User daily limit exceeded: user=${user.id}, ${dailyCheck.reason}`); + return this.buildRateLimitResponse(user.id, "user", dailyCheck.reason!); + } + + // ========== Key 层限流检查 ========== + + // 3. 检查 Key 金额限制 const costCheck = await RateLimitService.checkCostLimits(key.id, "key", { limit_5h_usd: key.limit5hUsd, limit_weekly_usd: key.limitWeeklyUsd, @@ -17,10 +38,11 @@ export class ProxyRateLimitGuard { }); if (!costCheck.allowed) { + logger.warn(`[RateLimit] Key cost limit exceeded: key=${key.id}, ${costCheck.reason}`); return this.buildRateLimitResponse(key.id, "key", costCheck.reason!); } - // 2. 检查并发 Session 限制 + // 4. 检查 Key 并发 Session 限制 const sessionCheck = await RateLimitService.checkSessionLimit( key.id, "key", @@ -28,10 +50,11 @@ export class ProxyRateLimitGuard { ); if (!sessionCheck.allowed) { + logger.warn(`[RateLimit] Key session limit exceeded: key=${key.id}, ${sessionCheck.reason}`); return this.buildRateLimitResponse(key.id, "key", sessionCheck.reason!); } - return null; + return null; // ✅ 通过所有检查 } /** @@ -39,9 +62,11 @@ export class ProxyRateLimitGuard { */ private static buildRateLimitResponse( id: number, - type: "key" | "provider", + type: "user" | "key" | "provider", reason: string ): Response { + const message = type === "user" ? `用户限流：${reason}` : `Key 限流：${reason}`; + const headers = new Headers({ "Content-Type": "application/json", "X-RateLimit-Type": type, @@ -52,7 +77,7 @@ export class ProxyRateLimitGuard { JSON.stringify({ error: { type: "rate_limit_error", - message: reason, + message, }, }), { diff --git a/src/app/v1/_lib/proxy/response-handler.ts b/src/app/v1/_lib/proxy/response-handler.ts index bd3388abb..14ad16946 100644 --- a/src/app/v1/_lib/proxy/response-handler.ts +++ b/src/app/v1/_lib/proxy/response-handler.ts @@ -530,8 +530,9 @@ async function trackCostToRedis(session: ProxySession, usage: UsageMetrics | nul const messageContext = session.messageContext; const provider = session.provider; const key = session.authState?.key; + const user = session.authState?.user; - if (!messageContext || !provider || !key) return; + if (!messageContext || !provider || !key || !user) return; const modelName = session.request.model; if (!modelName) return; @@ -543,14 +544,19 @@ async function trackCostToRedis(session: ProxySession, usage: UsageMetrics | nul const cost = calculateRequestCost(usage, priceData.priceData, provider.costMultiplier); if (cost.lte(0)) return; + const costFloat = parseFloat(cost.toString()); + // 追踪到 Redis（使用 session.sessionId） await RateLimitService.trackCost( key.id, provider.id, session.sessionId, // 直接使用 session.sessionId - parseFloat(cost.toString()) + costFloat ); + // ✅ 新增：追踪用户层每日消费 + await RateLimitService.trackUserDailyCost(user.id, costFloat); + // 刷新 session 时间戳（滑动窗口） void SessionTracker.refreshSession(session.sessionId, key.id, provider.id).catch((error) => { logger.error("[ResponseHandler] Failed to refresh session tracker:", error); diff --git a/src/components/quota/quota-progress.tsx b/src/components/quota/quota-progress.tsx new file mode 100644 index 000000000..1e5b54bcd --- /dev/null +++ b/src/components/quota/quota-progress.tsx @@ -0,0 +1,39 @@ +"use client"; + +import * as React from "react"; +import * as ProgressPrimitive from "@radix-ui/react-progress"; +import { cn } from "@/lib/utils"; + +interface QuotaProgressProps { + current: number; + limit: number | null; + className?: string; +} + +export function QuotaProgress({ current, limit, className }: QuotaProgressProps) { + if (!limit || limit <= 0) { + return null; + } + + const percentage = (current / limit) * 100; + const isWarning = percentage >= 60 && percentage < 80; + const isDanger = percentage >= 80 && percentage < 100; + const isExceeded = percentage >= 100; + + return ( + + + + ); +} diff --git a/src/components/quota/quota-toolbar.tsx b/src/components/quota/quota-toolbar.tsx new file mode 100644 index 000000000..6a9441bb1 --- /dev/null +++ b/src/components/quota/quota-toolbar.tsx @@ -0,0 +1,165 @@ +"use client"; + +import { useState, useEffect, useTransition } from "react"; +import { useRouter } from "next/navigation"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "@/components/ui/select"; +import { Switch } from "@/components/ui/switch"; +import { Label } from "@/components/ui/label"; +import { RefreshCw, Search } from "lucide-react"; + +interface QuotaToolbarProps { + onSearch?: (query: string) => void; + onSort?: (sortBy: string) => void; + onFilter?: (filter: string) => void; + sortOptions?: { value: string; label: string }[]; + filterOptions?: { value: string; label: string }[]; + showSearch?: boolean; + showSort?: boolean; + showFilter?: boolean; + showAutoRefresh?: boolean; +} + +export function QuotaToolbar({ + onSearch, + onSort, + onFilter, + sortOptions = [ + { value: "name", label: "按名称" }, + { value: "usage", label: "按使用率" }, + ], + filterOptions = [ + { value: "all", label: "全部" }, + { value: "warning", label: "接近限额" }, + { value: "exceeded", label: "已超限" }, + ], + showSearch = true, + showSort = true, + showFilter = true, + showAutoRefresh = true, +}: QuotaToolbarProps) { + const router = useRouter(); + const [isPending, startTransition] = useTransition(); + const [searchQuery, setSearchQuery] = useState(""); + const [autoRefresh, setAutoRefresh] = useState(false); + const [refreshInterval, setRefreshInterval] = useState(30); + + // 自动刷新机制 + useEffect(() => { + if (!autoRefresh) return; + + const timer = setInterval(() => { + startTransition(() => { + router.refresh(); + }); + }, refreshInterval * 1000); + + return () => clearInterval(timer); + }, [autoRefresh, refreshInterval, router]); + + // 手动刷新 + const handleManualRefresh = () => { + startTransition(() => { + router.refresh(); + }); + }; + + // 搜索处理 + const handleSearchChange = (value: string) => { + setSearchQuery(value); + onSearch?.(value); + }; + + return ( +
+
+ {/* 搜索框 */} + {showSearch && ( +
+ + handleSearchChange(e.target.value)} + className="pl-9" + /> +
+ )} + + {/* 筛选器 */} + {showFilter && onFilter && ( + + )} + + {/* 排序 */} + {showSort && onSort && ( + + )} +
+ + {/* 刷新控制 */} +
+ {showAutoRefresh && ( + <> +
+ + +
+ + {autoRefresh && ( + + )} + + )} + + +
+
+ ); +} diff --git a/src/components/ui/progress.tsx b/src/components/ui/progress.tsx new file mode 100644 index 000000000..74790eda7 --- /dev/null +++ b/src/components/ui/progress.tsx @@ -0,0 +1,31 @@ +"use client" + +import * as React from "react" +import * as ProgressPrimitive from "@radix-ui/react-progress" + +import { cn } from "@/lib/utils/index" + +function Progress({ + className, + value, + ...props +}: React.ComponentProps) { + return ( + + + + ) +} + +export { Progress } diff --git a/src/lib/rate-limit/service.ts b/src/lib/rate-limit/service.ts index cef6c3c2f..3b4832ad6 100644 --- a/src/lib/rate-limit/service.ts +++ b/src/lib/rate-limit/service.ts @@ -2,6 +2,8 @@ import { getRedisClient } from "@/lib/redis"; import { logger } from "@/lib/logger"; import { SessionTracker } from "@/lib/session-tracker"; import { CHECK_AND_TRACK_SESSION } from "@/lib/redis/lua-scripts"; +import { sumUserCostToday } from "@/repository/statistics"; +import { getTimeRangeForPeriod, getTTLForPeriod, getSecondsUntilMidnight } from "./time-utils"; interface CostLimit { amount: number | null; @@ -14,6 +16,7 @@ export class RateLimitService { /** * 检查金额限制（Key 或 Provider） + * 优先使用 Redis，失败时降级到数据库查询（防止 Redis 清空后超支） */ static async checkCostLimits( id: number, @@ -24,11 +27,6 @@ export class RateLimitService { limit_monthly_usd: number | null; } ): Promise<{ allowed: boolean; reason?: string }> { - if (!this.redis) { - // Fail Open：Redis 不可用，放行请求 - return { allowed: true }; - } - const costLimits: CostLimit[] = [ { amount: limits.limit_5h_usd, period: "5h", name: "5小时" }, { amount: limits.limit_weekly_usd, period: "weekly", name: "周" }, @@ -36,42 +34,106 @@ export class RateLimitService { ]; try { - // 使用 Pipeline 批量查询（性能优化） - const pipeline = this.redis.pipeline(); - for (const limit of costLimits) { - if (!limit.amount || limit.amount <= 0) continue; - pipeline.get(`${type}:${id}:cost_${limit.period}`); + // Fast Path: Redis 查询 + if (this.redis && this.redis.status === "ready") { + const pipeline = this.redis.pipeline(); + for (const limit of costLimits) { + if (!limit.amount || limit.amount <= 0) continue; + pipeline.get(`${type}:${id}:cost_${limit.period}`); + } + + const results = await pipeline.exec(); + if (results) { + let index = 0; + for (const limit of costLimits) { + if (!limit.amount || limit.amount <= 0) continue; + + const [err, value] = results[index] || []; + if (err) { + logger.error("[RateLimit] Redis error, fallback to database:", err); + // 出错时降级到数据库 + return await this.checkCostLimitsFromDatabase(id, type, costLimits); + } + + const current = parseFloat((value as string) || "0"); + + // Cache Miss 检测：如果 Redis 返回 null，从数据库恢复 + if (value === null && limit.amount > 0) { + logger.info( + `[RateLimit] Cache miss for ${type}:${id}:cost_${limit.period}, querying database` + ); + return await this.checkCostLimitsFromDatabase(id, type, costLimits); + } + + if (current >= limit.amount) { + return { + allowed: false, + reason: `${type === "key" ? "Key" : "供应商"} ${limit.name}消费上限已达到（${current.toFixed(4)}/${limit.amount}）`, + }; + } + + index++; + } + + return { allowed: true }; + } } - const results = await pipeline.exec(); - if (!results) return { allowed: true }; + // Slow Path: Redis 不可用，降级到数据库 + logger.warn(`[RateLimit] Redis unavailable, checking ${type} cost limits from database`); + return await this.checkCostLimitsFromDatabase(id, type, costLimits); + } catch (error) { + logger.error("[RateLimit] Check failed, fallback to database:", error); + return await this.checkCostLimitsFromDatabase(id, type, costLimits); + } + } - let index = 0; - for (const limit of costLimits) { - if (!limit.amount || limit.amount <= 0) continue; + /** + * 从数据库检查金额限制（降级路径） + */ + private static async checkCostLimitsFromDatabase( + id: number, + type: "key" | "provider", + costLimits: CostLimit[] + ): Promise<{ allowed: boolean; reason?: string }> { + const { sumKeyCostInTimeRange, sumProviderCostInTimeRange } = await import( + "@/repository/statistics" + ); - const [err, value] = results[index] || []; - if (err) { - logger.error("[RateLimit] Redis error:", err); - return { allowed: true }; // Fail Open - } + for (const limit of costLimits) { + if (!limit.amount || limit.amount <= 0) continue; - const current = parseFloat((value as string) || "0"); - if (current >= limit.amount) { - return { - allowed: false, - reason: `${type === "key" ? "Key" : "供应商"} ${limit.name}消费上限已达到（${current.toFixed(4)}/${limit.amount}）`, - }; - } + // 计算时间范围（使用新的时间工具函数） + const { startTime, endTime } = getTimeRangeForPeriod(limit.period); - index++; + // 查询数据库 + const current = + type === "key" + ? await sumKeyCostInTimeRange(id, startTime, endTime) + : await sumProviderCostInTimeRange(id, startTime, endTime); + + // Cache Warming: 写回 Redis（使用新的 TTL 计算） + if (this.redis && this.redis.status === "ready") { + try { + const ttl = getTTLForPeriod(limit.period); + await this.redis.set(`${type}:${id}:cost_${limit.period}`, current.toString(), "EX", ttl); + logger.info( + `[RateLimit] Cache warmed for ${type}:${id}:cost_${limit.period}, value=${current}, ttl=${ttl}s` + ); + } catch (error) { + logger.error("[RateLimit] Failed to warm cache:", error); + } } - return { allowed: true }; - } catch (error) { - logger.error("[RateLimit] Check failed:", error); - return { allowed: true }; // Fail Open + if (current >= limit.amount) { + return { + allowed: false, + reason: `${type === "key" ? "Key" : "供应商"} ${limit.name}消费上限已达到（${current.toFixed(4)}/${limit.amount}）`, + }; + } } + + return { allowed: true }; } /** @@ -172,6 +234,7 @@ export class RateLimitService { /** * 累加消费（请求结束后调用） + * 使用动态 TTL 以支持自然时间窗口（周一/月初） */ static async trackCost( keyId: number, @@ -182,27 +245,32 @@ export class RateLimitService { if (!this.redis || cost <= 0) return; try { + // 计算动态 TTL + const ttl5h = getTTLForPeriod("5h"); + const ttlWeekly = getTTLForPeriod("weekly"); + const ttlMonthly = getTTLForPeriod("monthly"); + const pipeline = this.redis.pipeline(); // 1. 累加 Key 消费 pipeline.incrbyfloat(`key:${keyId}:cost_5h`, cost); - pipeline.expire(`key:${keyId}:cost_5h`, 5 * 3600); // 5小时 + pipeline.expire(`key:${keyId}:cost_5h`, ttl5h); pipeline.incrbyfloat(`key:${keyId}:cost_weekly`, cost); - pipeline.expire(`key:${keyId}:cost_weekly`, 7 * 24 * 3600); // 7天 + pipeline.expire(`key:${keyId}:cost_weekly`, ttlWeekly); pipeline.incrbyfloat(`key:${keyId}:cost_monthly`, cost); - pipeline.expire(`key:${keyId}:cost_monthly`, 31 * 24 * 3600); // 31天 + pipeline.expire(`key:${keyId}:cost_monthly`, ttlMonthly); // 2. 累加 Provider 消费 pipeline.incrbyfloat(`provider:${providerId}:cost_5h`, cost); - pipeline.expire(`provider:${providerId}:cost_5h`, 5 * 3600); + pipeline.expire(`provider:${providerId}:cost_5h`, ttl5h); pipeline.incrbyfloat(`provider:${providerId}:cost_weekly`, cost); - pipeline.expire(`provider:${providerId}:cost_weekly`, 7 * 24 * 3600); + pipeline.expire(`provider:${providerId}:cost_weekly`, ttlWeekly); pipeline.incrbyfloat(`provider:${providerId}:cost_monthly`, cost); - pipeline.expire(`provider:${providerId}:cost_monthly`, 31 * 24 * 3600); + pipeline.expire(`provider:${providerId}:cost_monthly`, ttlMonthly); await pipeline.exec(); } catch (error) { @@ -212,21 +280,181 @@ export class RateLimitService { } /** - * 获取当前消费（用于响应头） + * 获取当前消费（用于响应头和前端展示） + * 优先使用 Redis，失败时降级到数据库查询 */ static async getCurrentCost( id: number, type: "key" | "provider", period: "5h" | "weekly" | "monthly" ): Promise { - if (!this.redis) return 0; - try { - const value = await this.redis.get(`${type}:${id}:cost_${period}`); - return parseFloat(value || "0"); + // Fast Path: Redis 查询 + if (this.redis && this.redis.status === "ready") { + const value = await this.redis.get(`${type}:${id}:cost_${period}`); + + // Cache Hit + if (value !== null) { + return parseFloat(value || "0"); + } + + // Cache Miss: 从数据库恢复 + logger.info(`[RateLimit] Cache miss for ${type}:${id}:cost_${period}, querying database`); + } else { + logger.warn(`[RateLimit] Redis unavailable, querying database for ${type} cost`); + } + + // Slow Path: 数据库查询 + const { sumKeyCostInTimeRange, sumProviderCostInTimeRange } = await import( + "@/repository/statistics" + ); + + const { startTime, endTime } = getTimeRangeForPeriod(period); + const current = + type === "key" + ? await sumKeyCostInTimeRange(id, startTime, endTime) + : await sumProviderCostInTimeRange(id, startTime, endTime); + + // Cache Warming: 写回 Redis（使用新的 TTL 计算） + if (this.redis && this.redis.status === "ready") { + try { + const ttl = getTTLForPeriod(period); + await this.redis.set(`${type}:${id}:cost_${period}`, current.toString(), "EX", ttl); + } catch (error) { + logger.error("[RateLimit] Failed to warm cache:", error); + } + } + + return current; } catch (error) { logger.error("[RateLimit] Get cost failed:", error); return 0; } } + + /** + * 检查用户 RPM（每分钟请求数）限制 + * 使用 Redis ZSET 实现滑动窗口 + */ + static async checkUserRPM( + userId: number, + rpmLimit: number + ): Promise<{ allowed: boolean; reason?: string; current?: number }> { + if (!rpmLimit || rpmLimit <= 0) { + return { allowed: true }; // 未设置限制 + } + + if (!this.redis) { + logger.warn("[RateLimit] Redis unavailable, skipping user RPM check"); + return { allowed: true }; // Fail Open + } + + const key = `user:${userId}:rpm_window`; + const now = Date.now(); + const oneMinuteAgo = now - 60000; + + try { + // 使用 Pipeline 提高性能 + const pipeline = this.redis.pipeline(); + + // 1. 清理 1 分钟前的请求 + pipeline.zremrangebyscore(key, "-inf", oneMinuteAgo); + + // 2. 统计当前请求数 + pipeline.zcard(key); + + const results = await pipeline.exec(); + const count = (results?.[1]?.[1] as number) || 0; + + if (count >= rpmLimit) { + return { + allowed: false, + reason: `用户每分钟请求数上限已达到（${count}/${rpmLimit}）`, + current: count, + }; + } + + // 3. 记录本次请求 + await this.redis + .pipeline() + .zadd(key, now, `${now}:${Math.random()}`) + .expire(key, 120) // 2 分钟 TTL + .exec(); + + return { allowed: true, current: count + 1 }; + } catch (error) { + logger.error(`[RateLimit] User RPM check failed for user ${userId}:`, error); + return { allowed: true }; // Fail Open + } + } + + /** + * 检查用户每日消费额度限制 + * 优先使用 Redis，失败时降级到数据库查询 + */ + static async checkUserDailyCost( + userId: number, + dailyLimitUsd: number + ): Promise<{ allowed: boolean; reason?: string; current?: number }> { + if (!dailyLimitUsd || dailyLimitUsd <= 0) { + return { allowed: true }; // 未设置限制 + } + + const key = `user:${userId}:daily_cost`; + let currentCost = 0; + + try { + // Fast Path: Redis 查询 + if (this.redis) { + const cached = await this.redis.get(key); + if (cached !== null) { + currentCost = parseFloat(cached); + } else { + // Cache Miss: 从数据库恢复 + logger.info(`[RateLimit] Cache miss for ${key}, querying database`); + currentCost = await sumUserCostToday(userId); + + // Cache Warming: 写回 Redis（使用新的时间工具函数） + const secondsUntilMidnight = getSecondsUntilMidnight(); + await this.redis.set(key, currentCost.toString(), "EX", secondsUntilMidnight); + } + } else { + // Slow Path: 数据库查询（Redis 不可用） + logger.warn("[RateLimit] Redis unavailable, querying database for user daily cost"); + currentCost = await sumUserCostToday(userId); + } + + if (currentCost >= dailyLimitUsd) { + return { + allowed: false, + reason: `用户每日消费上限已达到（$${currentCost.toFixed(4)}/$${dailyLimitUsd}）`, + current: currentCost, + }; + } + + return { allowed: true, current: currentCost }; + } catch (error) { + logger.error(`[RateLimit] User daily cost check failed for user ${userId}:`, error); + return { allowed: true }; // Fail Open + } + } + + /** + * 累加用户今日消费（在 trackCost 后调用） + */ + static async trackUserDailyCost(userId: number, cost: number): Promise { + if (!this.redis || cost <= 0) return; + + const key = `user:${userId}:daily_cost`; + + try { + const secondsUntilMidnight = getSecondsUntilMidnight(); + + await this.redis.pipeline().incrbyfloat(key, cost).expire(key, secondsUntilMidnight).exec(); + + logger.debug(`[RateLimit] Tracked user daily cost: user=${userId}, cost=${cost}`); + } catch (error) { + logger.error(`[RateLimit] Failed to track user daily cost:`, error); + } + } } diff --git a/src/lib/rate-limit/time-utils.ts b/src/lib/rate-limit/time-utils.ts new file mode 100644 index 000000000..8a68f7206 --- /dev/null +++ b/src/lib/rate-limit/time-utils.ts @@ -0,0 +1,185 @@ +/** + * 时间工具函数 + * 用于计算自然时间窗口（周一/月初）和对应的 TTL + */ + +import { startOfMonth, startOfWeek, addMonths, addWeeks, addDays } from "date-fns"; +import { toZonedTime, fromZonedTime } from "date-fns-tz"; +import { getEnvConfig } from "@/lib/config"; + +export type TimePeriod = "5h" | "weekly" | "monthly"; + +export interface TimeRange { + startTime: Date; + endTime: Date; +} + +export interface ResetInfo { + type: "rolling" | "natural"; + resetAt?: Date; // 自然时间窗口的重置时间 + period?: string; // 滚动窗口的周期描述 +} + +/** + * 根据周期计算时间范围 + * - 5h: 滚动窗口（过去 5 小时） + * - weekly: 自然周（本周一 00:00 到现在） + * - monthly: 自然月（本月 1 号 00:00 到现在） + * + * 所有自然时间窗口使用配置的时区（Asia/Shanghai） + */ +export function getTimeRangeForPeriod(period: TimePeriod): TimeRange { + const timezone = getEnvConfig().TZ; // 'Asia/Shanghai' + const now = new Date(); + const endTime = now; + let startTime: Date; + + switch (period) { + case "5h": + // 滚动窗口：过去 5 小时 + startTime = new Date(now.getTime() - 5 * 60 * 60 * 1000); + break; + + case "weekly": { + // 自然周：本周一 00:00 (Asia/Shanghai) + const zonedNow = toZonedTime(now, timezone); + const zonedStartOfWeek = startOfWeek(zonedNow, { weekStartsOn: 1 }); // 周一 + startTime = fromZonedTime(zonedStartOfWeek, timezone); + break; + } + + case "monthly": { + // 自然月：本月 1 号 00:00 (Asia/Shanghai) + const zonedNow = toZonedTime(now, timezone); + const zonedStartOfMonth = startOfMonth(zonedNow); + startTime = fromZonedTime(zonedStartOfMonth, timezone); + break; + } + } + + return { startTime, endTime }; +} + +/** + * 根据周期计算 Redis Key 的 TTL（秒） + * - 5h: 5 小时（固定） + * - weekly: 到下周一 00:00 的秒数 + * - monthly: 到下月 1 号 00:00 的秒数 + */ +export function getTTLForPeriod(period: TimePeriod): number { + const timezone = getEnvConfig().TZ; + const now = new Date(); + + switch (period) { + case "5h": + return 5 * 3600; // 5 小时 + + case "weekly": { + // 计算到下周一 00:00 的秒数 + const zonedNow = toZonedTime(now, timezone); + const zonedStartOfWeek = startOfWeek(zonedNow, { weekStartsOn: 1 }); + const zonedNextWeek = addWeeks(zonedStartOfWeek, 1); + const nextWeek = fromZonedTime(zonedNextWeek, timezone); + + return Math.ceil((nextWeek.getTime() - now.getTime()) / 1000); + } + + case "monthly": { + // 计算到下月 1 号 00:00 的秒数 + const zonedNow = toZonedTime(now, timezone); + const zonedStartOfMonth = startOfMonth(zonedNow); + const zonedNextMonth = addMonths(zonedStartOfMonth, 1); + const nextMonth = fromZonedTime(zonedNextMonth, timezone); + + return Math.ceil((nextMonth.getTime() - now.getTime()) / 1000); + } + } +} + +/** + * 获取重置信息（用于前端展示） + */ +export function getResetInfo(period: TimePeriod): ResetInfo { + const timezone = getEnvConfig().TZ; + const now = new Date(); + + switch (period) { + case "5h": + return { + type: "rolling", + period: "5 小时", + }; + + case "weekly": { + const zonedNow = toZonedTime(now, timezone); + const zonedStartOfWeek = startOfWeek(zonedNow, { weekStartsOn: 1 }); + const zonedNextWeek = addWeeks(zonedStartOfWeek, 1); + const resetAt = fromZonedTime(zonedNextWeek, timezone); + + return { + type: "natural", + resetAt, + }; + } + + case "monthly": { + const zonedNow = toZonedTime(now, timezone); + const zonedStartOfMonth = startOfMonth(zonedNow); + const zonedNextMonth = addMonths(zonedStartOfMonth, 1); + const resetAt = fromZonedTime(zonedNextMonth, timezone); + + return { + type: "natural", + resetAt, + }; + } + } +} + +/** + * 计算距离午夜的秒数（用于每日限额） + * 使用配置的时区（Asia/Shanghai）而非服务器本地时区 + */ +export function getSecondsUntilMidnight(): number { + const timezone = getEnvConfig().TZ; + const now = new Date(); + const zonedNow = toZonedTime(now, timezone); + const zonedTomorrow = addDays(zonedNow, 1); + const zonedTomorrowStart = fromZonedTime( + new Date( + zonedTomorrow.getFullYear(), + zonedTomorrow.getMonth(), + zonedTomorrow.getDate(), + 0, + 0, + 0, + 0 + ), + timezone + ); + + return Math.ceil((zonedTomorrowStart.getTime() - now.getTime()) / 1000); +} + +/** + * 获取每日限额的重置时间 + */ +export function getDailyResetTime(): Date { + const timezone = getEnvConfig().TZ; + const now = new Date(); + const zonedNow = toZonedTime(now, timezone); + const zonedTomorrow = addDays(zonedNow, 1); + + return fromZonedTime( + new Date( + zonedTomorrow.getFullYear(), + zonedTomorrow.getMonth(), + zonedTomorrow.getDate(), + 0, + 0, + 0, + 0 + ), + timezone + ); +} diff --git a/src/repository/provider.ts b/src/repository/provider.ts index 1e41cc62f..b89384726 100644 --- a/src/repository/provider.ts +++ b/src/repository/provider.ts @@ -270,15 +270,21 @@ export async function getProviderStatistics(): Promise< }> > { try { + // 使用 JavaScript Date 获取今日时间范围（本地时区，受 TZ 环境变量影响） + const today = new Date(); + today.setHours(0, 0, 0, 0); + const tomorrow = new Date(today); + tomorrow.setDate(tomorrow.getDate() + 1); + const query = sql` WITH provider_stats AS ( SELECT p.id, COALESCE( - SUM(CASE WHEN DATE(mr.created_at) = CURRENT_DATE THEN mr.cost_usd ELSE 0 END), + SUM(CASE WHEN mr.created_at >= ${today} AND mr.created_at < ${tomorrow} THEN mr.cost_usd ELSE 0 END), 0 ) AS today_cost, - COUNT(CASE WHEN DATE(mr.created_at) = CURRENT_DATE THEN 1 END)::integer AS today_calls + COUNT(CASE WHEN mr.created_at >= ${today} AND mr.created_at < ${tomorrow} THEN 1 END)::integer AS today_calls FROM providers p LEFT JOIN message_request mr ON p.id = mr.provider_id AND mr.deleted_at IS NULL diff --git a/src/repository/statistics.ts b/src/repository/statistics.ts index 655eb2a26..017df276c 100644 --- a/src/repository/statistics.ts +++ b/src/repository/statistics.ts @@ -1,8 +1,10 @@ "use server"; import { db } from "@/drizzle/db"; -import { sql } from "drizzle-orm"; +import { sql, and, eq, gte, lt, isNull } from "drizzle-orm"; import { getEnvConfig } from "@/lib/config"; +import { messageRequest } from "@/drizzle/schema"; +import { keys } from "@/drizzle/schema"; import type { TimeRange, DatabaseStatRow, @@ -555,3 +557,84 @@ export async function getMixedStatisticsFromDB( othersAggregate: Array.from(othersResult) as unknown as DatabaseStatRow[], }; } + +/** + * 查询用户今日总消费（所有 Key 的消费总和） + * 用于用户层每日限额检查（Redis 降级） + */ +export async function sumUserCostToday(userId: number): Promise { + const timezone = getEnvConfig().TZ; + + const query = sql` + SELECT COALESCE(SUM(mr.cost_usd), 0) AS total_cost + FROM message_request mr + INNER JOIN keys k ON mr.key = k.key + WHERE k.user_id = ${userId} + AND (mr.created_at AT TIME ZONE ${timezone})::date = (CURRENT_TIMESTAMP AT TIME ZONE ${timezone})::date + AND mr.deleted_at IS NULL + AND k.deleted_at IS NULL + `; + + const result = await db.execute(query); + const row = Array.from(result)[0] as { total_cost?: string | number } | undefined; + return Number(row?.total_cost || 0); +} + +/** + * 查询 Key 在指定时间范围内的消费总和 + * 用于 Key 层限额检查（Redis 降级） + */ +export async function sumKeyCostInTimeRange( + keyId: number, + startTime: Date, + endTime: Date +): Promise { + // 注意：message_request.key 存储的是 API key 字符串，需要先查询 keys 表获取 key 值 + const keyRecord = await db + .select({ key: keys.key }) + .from(keys) + .where(eq(keys.id, keyId)) + .limit(1); + + if (!keyRecord || keyRecord.length === 0) return 0; + + const keyString = keyRecord[0].key; + + const result = await db + .select({ total: sql`COALESCE(SUM(${messageRequest.costUsd}), 0)` }) + .from(messageRequest) + .where( + and( + eq(messageRequest.key, keyString), // 使用 key 字符串而非 ID + gte(messageRequest.createdAt, startTime), + lt(messageRequest.createdAt, endTime), + isNull(messageRequest.deletedAt) + ) + ); + + return Number(result[0]?.total || 0); +} + +/** + * 查询 Provider 在指定时间范围内的消费总和 + * 用于 Provider 层限额检查（Redis 降级） + */ +export async function sumProviderCostInTimeRange( + providerId: number, + startTime: Date, + endTime: Date +): Promise { + const result = await db + .select({ total: sql`COALESCE(SUM(${messageRequest.costUsd}), 0)` }) + .from(messageRequest) + .where( + and( + eq(messageRequest.providerId, providerId), + gte(messageRequest.createdAt, startTime), + lt(messageRequest.createdAt, endTime), + isNull(messageRequest.deletedAt) + ) + ); + + return Number(result[0]?.total || 0); +} diff --git a/src/types/user.ts b/src/types/user.ts index 2dd94d7b6..ad14d6cc0 100644 --- a/src/types/user.ts +++ b/src/types/user.ts @@ -58,6 +58,11 @@ export interface UserKeyDisplay { }>; // 各模型统计（当天） createdAt: Date; // 创建时间 createdAtFormatted: string; // 格式化后的具体时间 + // 限额配置 + limit5hUsd: number | null; // 5小时消费上限（美元） + limitWeeklyUsd: number | null; // 周消费上限（美元） + limitMonthlyUsd: number | null; // 月消费上限（美元） + limitConcurrentSessions: number; // 并发 Session 上限 } /** From 6b8c8d9535a368a984e0b179b5491674f6b973a8 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 30 Oct 2025 10:22:09 +0000 Subject: [PATCH 2/4] chore: sync VERSION file with release v0.2.12 [skip ci] --- VERSION | 2 +- public/seed/litellm-prices.json | 46631 +++++++++++++++--------------- 2 files changed, 24101 insertions(+), 22532 deletions(-) diff --git a/VERSION b/VERSION index d3b5ba4bf..f2722b133 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -0.2.11 +0.2.12 diff --git a/public/seed/litellm-prices.json b/public/seed/litellm-prices.json index d93249cf2..5b3446721 100644 --- a/public/seed/litellm-prices.json +++ b/public/seed/litellm-prices.json @@ -1,22535 +1,24104 @@ { - "sample_spec": { - "code_interpreter_cost_per_session": 0.0, - "computer_use_input_cost_per_1k_tokens": 0.0, - "computer_use_output_cost_per_1k_tokens": 0.0, - "deprecation_date": "date when the model becomes deprecated in the format YYYY-MM-DD", - "file_search_cost_per_1k_calls": 0.0, - "file_search_cost_per_gb_per_day": 0.0, - "input_cost_per_audio_token": 0.0, - "input_cost_per_token": 0.0, - "litellm_provider": "one of https://docs.litellm.ai/docs/providers", - "max_input_tokens": "max input tokens, if the provider specifies it. if not default to max_tokens", - "max_output_tokens": "max output tokens, if the provider specifies it. if not default to max_tokens", - "max_tokens": "LEGACY parameter. set to max_output_tokens if provider specifies it. IF not set to max_input_tokens, if provider specifies it.", - "mode": "one of: chat, embedding, completion, image_generation, audio_transcription, audio_speech, image_generation, moderation, rerank, search", - "output_cost_per_reasoning_token": 0.0, - "output_cost_per_token": 0.0, - "search_context_cost_per_query": { - "search_context_size_high": 0.0, - "search_context_size_low": 0.0, - "search_context_size_medium": 0.0 - }, - "supported_regions": ["global", "us-west-2", "eu-west-1", "ap-southeast-1", "ap-northeast-1"], - "supports_audio_input": true, - "supports_audio_output": true, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_vision": true, - "supports_web_search": true, - "vector_store_cost_per_gb_per_day": 0.0 - }, - "1024-x-1024/50-steps/bedrock/amazon.nova-canvas-v1:0": { - "litellm_provider": "bedrock", - "max_input_tokens": 2600, - "mode": "image_generation", - "output_cost_per_image": 0.06 - }, - "1024-x-1024/50-steps/stability.stable-diffusion-xl-v1": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.04 - }, - "1024-x-1024/dall-e-2": { - "input_cost_per_pixel": 1.9e-8, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "1024-x-1024/max-steps/stability.stable-diffusion-xl-v1": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.08 - }, - "256-x-256/dall-e-2": { - "input_cost_per_pixel": 2.4414e-7, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "512-x-512/50-steps/stability.stable-diffusion-xl-v0": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.018 - }, - "512-x-512/dall-e-2": { - "input_cost_per_pixel": 6.86e-8, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "512-x-512/max-steps/stability.stable-diffusion-xl-v0": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.036 - }, - "ai21.j2-mid-v1": { - "input_cost_per_token": 1.25e-5, - "litellm_provider": "bedrock", - "max_input_tokens": 8191, - "max_output_tokens": 8191, - "max_tokens": 8191, - "mode": "chat", - "output_cost_per_token": 1.25e-5 - }, - "ai21.j2-ultra-v1": { - "input_cost_per_token": 1.88e-5, - "litellm_provider": "bedrock", - "max_input_tokens": 8191, - "max_output_tokens": 8191, - "max_tokens": 8191, - "mode": "chat", - "output_cost_per_token": 1.88e-5 - }, - "ai21.jamba-1-5-large-v1:0": { - "input_cost_per_token": 2e-6, - "litellm_provider": "bedrock", - "max_input_tokens": 256000, - "max_output_tokens": 256000, - "max_tokens": 256000, - "mode": "chat", - "output_cost_per_token": 8e-6 - }, - "ai21.jamba-1-5-mini-v1:0": { - "input_cost_per_token": 2e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 256000, - "max_output_tokens": 256000, - "max_tokens": 256000, - "mode": "chat", - "output_cost_per_token": 4e-7 - }, - "ai21.jamba-instruct-v1:0": { - "input_cost_per_token": 5e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 70000, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 7e-7, - "supports_system_messages": true - }, - "aiml/dall-e-2": { - "litellm_provider": "aiml", - "metadata": { - "notes": "DALL-E 2 via AI/ML API - Reliable text-to-image generation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.021, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/dall-e-3": { - "litellm_provider": "aiml", - "metadata": { - "notes": "DALL-E 3 via AI/ML API - High-quality text-to-image generation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.042, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux-pro": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Dev - Development version optimized for experimentation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.053, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux-pro/v1.1": { - "litellm_provider": "aiml", - "mode": "image_generation", - "output_cost_per_image": 0.042, - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux-pro/v1.1-ultra": { - "litellm_provider": "aiml", - "mode": "image_generation", - "output_cost_per_image": 0.063, - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux-realism": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Pro - Professional-grade image generation model" - }, - "mode": "image_generation", - "output_cost_per_image": 0.037, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux/dev": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Dev - Development version optimized for experimentation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.026, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux/kontext-max/text-to-image": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Pro v1.1 - Enhanced version with improved capabilities and 6x faster inference speed" - }, - "mode": "image_generation", - "output_cost_per_image": 0.084, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux/kontext-pro/text-to-image": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Pro v1.1 - Enhanced version with improved capabilities and 6x faster inference speed" - }, - "mode": "image_generation", - "output_cost_per_image": 0.042, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "aiml/flux/schnell": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Schnell - Fast generation model optimized for speed" - }, - "mode": "image_generation", - "output_cost_per_image": 0.003, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": ["/v1/images/generations"] - }, - "amazon.nova-lite-v1:0": { - "input_cost_per_token": 6e-8, - "litellm_provider": "bedrock_converse", - "max_input_tokens": 300000, - "max_output_tokens": 10000, - "max_tokens": 10000, - "mode": "chat", - "output_cost_per_token": 2.4e-7, - "supports_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_vision": true - }, - "amazon.nova-micro-v1:0": { - "input_cost_per_token": 3.5e-8, - "litellm_provider": "bedrock_converse", - "max_input_tokens": 128000, - "max_output_tokens": 10000, - "max_tokens": 10000, - "mode": "chat", - "output_cost_per_token": 1.4e-7, - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_response_schema": true - }, - "amazon.nova-pro-v1:0": { - "input_cost_per_token": 8e-7, - "litellm_provider": "bedrock_converse", - "max_input_tokens": 300000, - "max_output_tokens": 10000, - "max_tokens": 10000, - "mode": "chat", - "output_cost_per_token": 3.2e-6, - "supports_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_vision": true - }, - "amazon.rerank-v1:0": { - "input_cost_per_query": 0.001, - "input_cost_per_token": 0.0, - "litellm_provider": "bedrock", - "max_document_chunks_per_query": 100, - "max_input_tokens": 32000, - "max_output_tokens": 32000, - "max_query_tokens": 32000, - "max_tokens": 32000, - "max_tokens_per_document_chunk": 512, - "mode": "rerank", - "output_cost_per_token": 0.0 - }, - "amazon.titan-embed-image-v1": { - "input_cost_per_image": 6e-5, - "input_cost_per_token": 8e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 128, - "max_tokens": 128, - "metadata": { - "notes": "'supports_image_input' is a deprecated field. Use 'supports_embedding_image_input' instead." - }, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_vector_size": 1024, - "source": "https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/providers?model=amazon.titan-image-generator-v1", - "supports_embedding_image_input": true, - "supports_image_input": true - }, - "amazon.titan-embed-text-v1": { - "input_cost_per_token": 1e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 8192, - "max_tokens": 8192, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_vector_size": 1536 - }, - "amazon.titan-embed-text-v2:0": { - "input_cost_per_token": 2e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 8192, - "max_tokens": 8192, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_vector_size": 1024 - }, - "amazon.titan-image-generator-v1": { - "input_cost_per_image": 0.0, - "output_cost_per_image": 0.008, - "output_cost_per_image_premium_image": 0.01, - "output_cost_per_image_above_512_and_512_pixels": 0.01, - "output_cost_per_image_above_512_and_512_pixels_and_premium_image": 0.012, - "litellm_provider": "bedrock", - "mode": "image_generation" - }, - "amazon.titan-image-generator-v2": { - "input_cost_per_image": 0.0, - "output_cost_per_image": 0.008, - "output_cost_per_image_premium_image": 0.01, - "output_cost_per_image_above_1024_and_1024_pixels": 0.01, - "output_cost_per_image_above_1024_and_1024_pixels_and_premium_image": 0.012, - "litellm_provider": "bedrock", - "mode": "image_generation" - }, - "twelvelabs.marengo-embed-2-7-v1:0": { - "input_cost_per_token": 7e-5, - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_vector_size": 1024, - "supports_embedding_image_input": true, - "supports_image_input": true - }, - "us.twelvelabs.marengo-embed-2-7-v1:0": { - "input_cost_per_token": 7e-5, - "input_cost_per_video_per_second": 0.0007, - "input_cost_per_audio_per_second": 0.00014, - "input_cost_per_image": 0.0001, - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_vector_size": 1024, - "supports_embedding_image_input": true, - "supports_image_input": true - }, - "eu.twelvelabs.marengo-embed-2-7-v1:0": { - "input_cost_per_token": 7e-5, - "input_cost_per_video_per_second": 0.0007, - "input_cost_per_audio_per_second": 0.00014, - "input_cost_per_image": 0.0001, - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_vector_size": 1024, - "supports_embedding_image_input": true, - "supports_image_input": true - }, - "twelvelabs.pegasus-1-2-v1:0": { - "input_cost_per_video_per_second": 0.00049, - "output_cost_per_token": 7.5e-6, - "litellm_provider": "bedrock", - "mode": "chat", - "supports_video_input": true - }, - "us.twelvelabs.pegasus-1-2-v1:0": { - "input_cost_per_video_per_second": 0.00049, - "output_cost_per_token": 7.5e-6, - "litellm_provider": "bedrock", - "mode": "chat", - "supports_video_input": true - }, - "eu.twelvelabs.pegasus-1-2-v1:0": { - "input_cost_per_video_per_second": 0.00049, - "output_cost_per_token": 7.5e-6, - "litellm_provider": "bedrock", - "mode": "chat", - "supports_video_input": true - }, - "amazon.titan-text-express-v1": { - "input_cost_per_token": 1.3e-6, - "litellm_provider": "bedrock", - "max_input_tokens": 42000, - "max_output_tokens": 8000, - "max_tokens": 8000, - "mode": "chat", - "output_cost_per_token": 1.7e-6 - }, - "amazon.titan-text-lite-v1": { - "input_cost_per_token": 3e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 42000, - "max_output_tokens": 4000, - "max_tokens": 4000, - "mode": "chat", - "output_cost_per_token": 4e-7 - }, - "amazon.titan-text-premier-v1:0": { - "input_cost_per_token": 5e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 42000, - "max_output_tokens": 32000, - "max_tokens": 32000, - "mode": "chat", - "output_cost_per_token": 1.5e-6 - }, - "anthropic.claude-3-5-haiku-20241022-v1:0": { - "cache_creation_input_token_cost": 1e-6, - "cache_read_input_token_cost": 8e-8, - "input_cost_per_token": 8e-7, - "litellm_provider": "bedrock", - "max_input_tokens": 200000, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_token": 4e-6, - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "anthropic.claude-haiku-4-5-20251001-v1:0": { - "cache_creation_input_token_cost": 1.25e-6, - "cache_read_input_token_cost": 1e-7, - "input_cost_per_token": 1e-6, - "litellm_provider": "bedrock", - "max_input_tokens": 200000, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_token": 5e-6, - "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "anthropic.claude-haiku-4-5@20251001": { - "cache_creation_input_token_cost": 1.25e-6, - "cache_read_input_token_cost": 1e-7, - "input_cost_per_token": 1e-6, - "litellm_provider": "bedrock", - "max_input_tokens": 200000, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_token": 5e-6, - "source": "https://aws.amazon.com/about-aws/whats-new/2025/10/claude-4-5-haiku-anthropic-amazon-bedrock", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "anthropic.claude-3-5-sonnet-20240620-v1:0": { - "input_cost_per_token": 3e-6, - "litellm_provider": "bedrock", - "max_input_tokens": 200000, - 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Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5e-6, - "output_dbu_cost_per_token": 2.1429e-5, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-llama-4-maverick": { - "input_cost_per_token": 5e-6, - "input_dbu_cost_per_token": 7.143e-5, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." - }, - "mode": "chat", - "output_cost_per_token": 1.5e-5, - "output_dbu_cost_per_token": 0.00021429, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-1-405b-instruct": { - "input_cost_per_token": 5e-6, - "input_dbu_cost_per_token": 7.1429e-5, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. 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Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.9902e-7, - "output_dbu_cost_per_token": 1.4286e-5, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-30b-instruct": { - "input_cost_per_token": 9.9902e-7, - "input_dbu_cost_per_token": 1.4286e-5, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.9902e-7, - "output_dbu_cost_per_token": 1.4286e-5, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-7b-instruct": { - "input_cost_per_token": 5.0001e-7, - "input_dbu_cost_per_token": 7.143e-6, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. 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"supports_tool_choice": true - }, - "friendliai/meta-llama-3.1-8b-instruct": { - "input_cost_per_token": 1e-7, - "litellm_provider": "friendliai", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_token": 1e-7, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true - }, - "ft:babbage-002": { - "input_cost_per_token": 4e-7, - "input_cost_per_token_batches": 2e-7, - "litellm_provider": "text-completion-openai", - "max_input_tokens": 16384, - "max_output_tokens": 4096, - "max_tokens": 16384, - "mode": "completion", - "output_cost_per_token": 4e-7, - "output_cost_per_token_batches": 2e-7 - }, - "ft:davinci-002": { - "input_cost_per_token": 2e-6, - "input_cost_per_token_batches": 1e-6, - "litellm_provider": "text-completion-openai", - "max_input_tokens": 16384, - "max_output_tokens": 4096, - "max_tokens": 16384, - "mode": "completion", - "output_cost_per_token": 2e-6, - "output_cost_per_token_batches": 1e-6 - }, - "ft:gpt-3.5-turbo": { - "input_cost_per_token": 3e-6, - "input_cost_per_token_batches": 1.5e-6, - "litellm_provider": "openai", - "max_input_tokens": 16385, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 6e-6, - "output_cost_per_token_batches": 3e-6, - "supports_system_messages": true, - "supports_tool_choice": true - }, - "ft:gpt-3.5-turbo-0125": { - "input_cost_per_token": 3e-6, - "litellm_provider": "openai", - "max_input_tokens": 16385, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 6e-6, - "supports_system_messages": true, - "supports_tool_choice": true - }, - "ft:gpt-3.5-turbo-0613": { - "input_cost_per_token": 3e-6, - "litellm_provider": "openai", - "max_input_tokens": 4096, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 6e-6, - "supports_system_messages": true, - "supports_tool_choice": true - }, - "ft:gpt-3.5-turbo-1106": { - "input_cost_per_token": 3e-6, - "litellm_provider": "openai", - "max_input_tokens": 16385, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 6e-6, - "supports_system_messages": true, - "supports_tool_choice": true - }, - "ft:gpt-4-0613": { - "input_cost_per_token": 3e-5, - "litellm_provider": "openai", - "max_input_tokens": 8192, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 6e-5, - "source": "OpenAI needs to add pricing for this ft model, will be updated when added by OpenAI. Defaulting to base model pricing", - "supports_function_calling": true, - "supports_system_messages": true, - "supports_tool_choice": true - }, - "ft:gpt-4o-2024-08-06": { - "input_cost_per_token": 3.75e-6, - "input_cost_per_token_batches": 1.875e-6, - "litellm_provider": "openai", - "max_input_tokens": 128000, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "output_cost_per_token": 1.5e-5, - "output_cost_per_token_batches": 7.5e-6, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "ft:gpt-4o-2024-11-20": { - "cache_creation_input_token_cost": 1.875e-6, - "input_cost_per_token": 3.75e-6, - "litellm_provider": "openai", - "max_input_tokens": 128000, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "output_cost_per_token": 1.5e-5, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "ft:gpt-4o-mini-2024-07-18": { - "cache_read_input_token_cost": 1.5e-7, - "input_cost_per_token": 3e-7, - "input_cost_per_token_batches": 1.5e-7, - "litellm_provider": "openai", - "max_input_tokens": 128000, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "output_cost_per_token": 1.2e-6, - "output_cost_per_token_batches": 6e-7, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.0-pro": { - "input_cost_per_character": 1.25e-7, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-7, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 32760, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-7, - "output_cost_per_token": 1.5e-6, - "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#google_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-pro-001": { - "deprecation_date": "2025-04-09", - "input_cost_per_character": 1.25e-7, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-7, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 32760, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-7, - "output_cost_per_token": 1.5e-6, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-pro-002": { - "deprecation_date": "2025-04-09", - "input_cost_per_character": 1.25e-7, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-7, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 32760, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-7, - "output_cost_per_token": 1.5e-6, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-pro-vision": { - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-7, - "litellm_provider": "vertex_ai-vision-models", - "max_images_per_prompt": 16, - "max_input_tokens": 16384, - "max_output_tokens": 2048, - "max_tokens": 2048, - "max_video_length": 2, - "max_videos_per_prompt": 1, - "mode": "chat", - "output_cost_per_token": 1.5e-6, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.0-pro-vision-001": { - "deprecation_date": "2025-04-09", - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-7, - "litellm_provider": "vertex_ai-vision-models", - "max_images_per_prompt": 16, - "max_input_tokens": 16384, - "max_output_tokens": 2048, - "max_tokens": 2048, - "max_video_length": 2, - "max_videos_per_prompt": 1, - "mode": "chat", - "output_cost_per_token": 1.5e-6, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.0-ultra": { - "input_cost_per_character": 1.25e-7, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-7, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 8192, - "max_output_tokens": 2048, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-7, - "output_cost_per_token": 1.5e-6, - "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.0-ultra-001": { - "input_cost_per_character": 1.25e-7, - "input_cost_per_image": 0.0025, - "input_cost_per_token": 5e-7, - "input_cost_per_video_per_second": 0.002, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 8192, - "max_output_tokens": 2048, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 3.75e-7, - "output_cost_per_token": 1.5e-6, - "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_tool_choice": true - }, - "gemini-1.5-flash": { - "input_cost_per_audio_per_second": 2e-6, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, - "input_cost_per_character": 1.875e-8, - "input_cost_per_character_above_128k_tokens": 2.5e-7, - "input_cost_per_image": 2e-5, - "input_cost_per_image_above_128k_tokens": 4e-5, - "input_cost_per_token": 7.5e-8, - "input_cost_per_token_above_128k_tokens": 1e-6, - "input_cost_per_video_per_second": 2e-5, - "input_cost_per_video_per_second_above_128k_tokens": 4e-5, - "litellm_provider": "vertex_ai-language-models", - "max_audio_length_hours": 8.4, - "max_audio_per_prompt": 1, - "max_images_per_prompt": 3000, - "max_input_tokens": 1000000, - "max_output_tokens": 8192, - "max_pdf_size_mb": 30, - "max_tokens": 8192, - "max_video_length": 1, - "max_videos_per_prompt": 10, - "mode": "chat", - "output_cost_per_character": 7.5e-8, - "output_cost_per_character_above_128k_tokens": 1.5e-7, - "output_cost_per_token": 3e-7, - "output_cost_per_token_above_128k_tokens": 6e-7, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-flash-001": { - "deprecation_date": "2025-05-24", - "input_cost_per_audio_per_second": 2e-6, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, - "input_cost_per_character": 1.875e-8, - "input_cost_per_character_above_128k_tokens": 2.5e-7, - "input_cost_per_image": 2e-5, - "input_cost_per_image_above_128k_tokens": 4e-5, - "input_cost_per_token": 7.5e-8, - "input_cost_per_token_above_128k_tokens": 1e-6, - "input_cost_per_video_per_second": 2e-5, - "input_cost_per_video_per_second_above_128k_tokens": 4e-5, - "litellm_provider": "vertex_ai-language-models", - "max_audio_length_hours": 8.4, - "max_audio_per_prompt": 1, - "max_images_per_prompt": 3000, - "max_input_tokens": 1000000, - "max_output_tokens": 8192, - "max_pdf_size_mb": 30, - "max_tokens": 8192, - "max_video_length": 1, - "max_videos_per_prompt": 10, - "mode": "chat", - "output_cost_per_character": 7.5e-8, - "output_cost_per_character_above_128k_tokens": 1.5e-7, - "output_cost_per_token": 3e-7, - "output_cost_per_token_above_128k_tokens": 6e-7, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini-1.5-flash-002": { - "deprecation_date": "2025-09-24", - "input_cost_per_audio_per_second": 2e-6, - "input_cost_per_audio_per_second_above_128k_tokens": 4e-6, - 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Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "output_vector_size": 1024, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-llama-2-70b-chat": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5e-06, + "output_dbu_cost_per_token": 2.1429e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-llama-4-maverick": { + "input_cost_per_token": 5e-06, + "input_dbu_cost_per_token": 7.143e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." + }, + "mode": "chat", + "output_cost_per_token": 1.5e-05, + "output_dbu_cost_per_token": 0.00021429, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-1-405b-instruct": { + "input_cost_per_token": 5e-06, + "input_dbu_cost_per_token": 7.1429e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.500002e-05, + "output_db_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-3-70b-instruct": { + "input_cost_per_token": 1.00002e-06, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.99999e-06, + "output_dbu_cost_per_token": 4.2857e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-70b-instruct": { + "input_cost_per_token": 1.00002e-06, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.99999e-06, + "output_dbu_cost_per_token": 4.2857e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mixtral-8x7b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.9902e-07, + "output_dbu_cost_per_token": 1.4286e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-30b-instruct": { + "input_cost_per_token": 9.9902e-07, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.9902e-07, + "output_dbu_cost_per_token": 1.4286e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-7b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "dataforseo/search": { + "input_cost_per_query": 0.003, + "litellm_provider": "dataforseo", + "mode": "search" + }, + "davinci-002": { + "input_cost_per_token": 2e-06, + "litellm_provider": "text-completion-openai", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 16384, + "mode": "completion", + "output_cost_per_token": 2e-06 + }, + "deepgram/base": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-conversationalai": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-finance": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-general": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-meeting": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-phonecall": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-video": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-voicemail": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-finance": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-general": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-meeting": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-phonecall": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-atc": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-automotive": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-conversationalai": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-drivethru": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-finance": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-general": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-meeting": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-phonecall": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-video": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-2-voicemail": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-3": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-3-general": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-3-medical": { + "input_cost_per_second": 8.667e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0052/60 seconds = $0.00008667 per second (multilingual)", + "original_pricing_per_minute": 0.0052 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-general": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/nova-phonecall": { + "input_cost_per_second": 7.167e-05, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0043/60 seconds = $0.00007167 per second", + "original_pricing_per_minute": 0.0043 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/whisper": { + "input_cost_per_second": 0.0001, + "litellm_provider": "deepgram", + "metadata": { + "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/whisper-base": { + "input_cost_per_second": 0.0001, + "litellm_provider": "deepgram", + "metadata": { + "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/whisper-large": { + "input_cost_per_second": 0.0001, + "litellm_provider": "deepgram", + "metadata": { + "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/whisper-medium": { + "input_cost_per_second": 0.0001, + "litellm_provider": "deepgram", + "metadata": { + "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/whisper-small": { + "input_cost_per_second": 0.0001, + "litellm_provider": "deepgram", + "metadata": { + "notes": "Deepgram's hosted OpenAI Whisper models - pricing may differ from native Deepgram models" + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/whisper-tiny": { + "input_cost_per_second": 0.0001, + "litellm_provider": "deepgram", + "metadata": { + "notes": "Deepgram's hosted OpenAI Whisper models - 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"input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-07, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 32760, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-07, + "output_cost_per_token": 1.5e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#google_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-pro-001": { + "deprecation_date": "2025-04-09", + "input_cost_per_character": 1.25e-07, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-07, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 32760, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-07, + "output_cost_per_token": 1.5e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-pro-002": { + "deprecation_date": "2025-04-09", + "input_cost_per_character": 1.25e-07, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-07, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 32760, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-07, + "output_cost_per_token": 1.5e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-pro-vision": { + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-07, + "litellm_provider": "vertex_ai-vision-models", + "max_images_per_prompt": 16, + "max_input_tokens": 16384, + "max_output_tokens": 2048, + "max_tokens": 2048, + "max_video_length": 2, + "max_videos_per_prompt": 1, + "mode": "chat", + "output_cost_per_token": 1.5e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.0-pro-vision-001": { + "deprecation_date": "2025-04-09", + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-07, + "litellm_provider": "vertex_ai-vision-models", + "max_images_per_prompt": 16, + "max_input_tokens": 16384, + "max_output_tokens": 2048, + "max_tokens": 2048, + "max_video_length": 2, + "max_videos_per_prompt": 1, + "mode": "chat", + "output_cost_per_token": 1.5e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.0-ultra": { + "input_cost_per_character": 1.25e-07, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-07, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 8192, + "max_output_tokens": 2048, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-07, + "output_cost_per_token": 1.5e-06, + "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.0-ultra-001": { + "input_cost_per_character": 1.25e-07, + "input_cost_per_image": 0.0025, + "input_cost_per_token": 5e-07, + "input_cost_per_video_per_second": 0.002, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 8192, + "max_output_tokens": 2048, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 3.75e-07, + "output_cost_per_token": 1.5e-06, + "source": "As of Jun, 2024. There is no available doc on vertex ai pricing gemini-1.0-ultra-001. Using gemini-1.0-pro pricing. Got max_tokens info here: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_tool_choice": true + }, + "gemini-1.5-flash": { + "input_cost_per_audio_per_second": 2e-06, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, + "input_cost_per_character": 1.875e-08, + "input_cost_per_character_above_128k_tokens": 2.5e-07, + "input_cost_per_image": 2e-05, + "input_cost_per_image_above_128k_tokens": 4e-05, + "input_cost_per_token": 7.5e-08, + "input_cost_per_token_above_128k_tokens": 1e-06, + "input_cost_per_video_per_second": 2e-05, + "input_cost_per_video_per_second_above_128k_tokens": 4e-05, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 7.5e-08, + "output_cost_per_character_above_128k_tokens": 1.5e-07, + "output_cost_per_token": 3e-07, + "output_cost_per_token_above_128k_tokens": 6e-07, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-001": { + "deprecation_date": "2025-05-24", + "input_cost_per_audio_per_second": 2e-06, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, + "input_cost_per_character": 1.875e-08, + "input_cost_per_character_above_128k_tokens": 2.5e-07, + "input_cost_per_image": 2e-05, + "input_cost_per_image_above_128k_tokens": 4e-05, + "input_cost_per_token": 7.5e-08, + "input_cost_per_token_above_128k_tokens": 1e-06, + "input_cost_per_video_per_second": 2e-05, + "input_cost_per_video_per_second_above_128k_tokens": 4e-05, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 7.5e-08, + "output_cost_per_character_above_128k_tokens": 1.5e-07, + "output_cost_per_token": 3e-07, + "output_cost_per_token_above_128k_tokens": 6e-07, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-002": { + "deprecation_date": "2025-09-24", + "input_cost_per_audio_per_second": 2e-06, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, + "input_cost_per_character": 1.875e-08, + "input_cost_per_character_above_128k_tokens": 2.5e-07, + "input_cost_per_image": 2e-05, + "input_cost_per_image_above_128k_tokens": 4e-05, + "input_cost_per_token": 7.5e-08, + "input_cost_per_token_above_128k_tokens": 1e-06, + "input_cost_per_video_per_second": 2e-05, + "input_cost_per_video_per_second_above_128k_tokens": 4e-05, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 7.5e-08, + "output_cost_per_character_above_128k_tokens": 1.5e-07, + "output_cost_per_token": 3e-07, + "output_cost_per_token_above_128k_tokens": 6e-07, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-1.5-flash", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-exp-0827": { + "input_cost_per_audio_per_second": 2e-06, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, + "input_cost_per_character": 1.875e-08, + "input_cost_per_character_above_128k_tokens": 2.5e-07, + "input_cost_per_image": 2e-05, + "input_cost_per_image_above_128k_tokens": 4e-05, + "input_cost_per_token": 4.688e-09, + "input_cost_per_token_above_128k_tokens": 1e-06, + "input_cost_per_video_per_second": 2e-05, + "input_cost_per_video_per_second_above_128k_tokens": 4e-05, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 1.875e-08, + "output_cost_per_character_above_128k_tokens": 3.75e-08, + "output_cost_per_token": 4.6875e-09, + "output_cost_per_token_above_128k_tokens": 9.375e-09, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-flash-preview-0514": { + "input_cost_per_audio_per_second": 2e-06, + "input_cost_per_audio_per_second_above_128k_tokens": 4e-06, + "input_cost_per_character": 1.875e-08, + "input_cost_per_character_above_128k_tokens": 2.5e-07, + "input_cost_per_image": 2e-05, + "input_cost_per_image_above_128k_tokens": 4e-05, + "input_cost_per_token": 7.5e-08, + "input_cost_per_token_above_128k_tokens": 1e-06, + "input_cost_per_video_per_second": 2e-05, + "input_cost_per_video_per_second_above_128k_tokens": 4e-05, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_pdf_size_mb": 30, + "max_tokens": 8192, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_character": 1.875e-08, + "output_cost_per_character_above_128k_tokens": 3.75e-08, + "output_cost_per_token": 4.6875e-09, + "output_cost_per_token_above_128k_tokens": 9.375e-09, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-pro": { + "input_cost_per_audio_per_second": 3.125e-05, + "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, + "input_cost_per_character": 3.125e-07, + "input_cost_per_character_above_128k_tokens": 6.25e-07, + "input_cost_per_image": 0.00032875, + "input_cost_per_image_above_128k_tokens": 0.0006575, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_128k_tokens": 2.5e-06, + "input_cost_per_video_per_second": 0.00032875, + "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 2097152, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 1.25e-06, + "output_cost_per_character_above_128k_tokens": 2.5e-06, + "output_cost_per_token": 5e-06, + "output_cost_per_token_above_128k_tokens": 1e-05, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-pro-001": { + "deprecation_date": "2025-05-24", + "input_cost_per_audio_per_second": 3.125e-05, + "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, + "input_cost_per_character": 3.125e-07, + "input_cost_per_character_above_128k_tokens": 6.25e-07, + "input_cost_per_image": 0.00032875, + "input_cost_per_image_above_128k_tokens": 0.0006575, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_128k_tokens": 2.5e-06, + "input_cost_per_video_per_second": 0.00032875, + "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 1.25e-06, + "output_cost_per_character_above_128k_tokens": 2.5e-06, + "output_cost_per_token": 5e-06, + "output_cost_per_token_above_128k_tokens": 1e-05, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-pro-002": { + "deprecation_date": "2025-09-24", + "input_cost_per_audio_per_second": 3.125e-05, + "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, + "input_cost_per_character": 3.125e-07, + "input_cost_per_character_above_128k_tokens": 6.25e-07, + "input_cost_per_image": 0.00032875, + "input_cost_per_image_above_128k_tokens": 0.0006575, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_128k_tokens": 2.5e-06, + "input_cost_per_video_per_second": 0.00032875, + "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 2097152, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 1.25e-06, + "output_cost_per_character_above_128k_tokens": 2.5e-06, + "output_cost_per_token": 5e-06, + "output_cost_per_token_above_128k_tokens": 1e-05, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-1.5-pro", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini-1.5-pro-preview-0215": { + "input_cost_per_audio_per_second": 3.125e-05, + "input_cost_per_audio_per_second_above_128k_tokens": 6.25e-05, + "input_cost_per_character": 3.125e-07, + "input_cost_per_character_above_128k_tokens": 6.25e-07, + "input_cost_per_image": 0.00032875, + "input_cost_per_image_above_128k_tokens": 0.0006575, + "input_cost_per_token": 7.8125e-08, + "input_cost_per_token_above_128k_tokens": 1.5625e-07, + "input_cost_per_video_per_second": 0.00032875, + "input_cost_per_video_per_second_above_128k_tokens": 0.0006575, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 1000000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 1.25e-06, + "output_cost_per_character_above_128k_tokens": 2.5e-06, + "output_cost_per_token": 3.125e-07, + "output_cost_per_token_above_128k_tokens": 6.25e-07, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true 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+ ], + "supported_resolutions": [ + "720x1280", + "1280x720" + ] + }, + "openai/sora-2-pro": { + "litellm_provider": "openai", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.30, + "source": "https://platform.openai.com/docs/api-reference/videos", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "video" + ], + "supported_resolutions": [ + "720x1280", + "1280x720" + ] + }, + "azure/sora-2": { + "litellm_provider": "azure", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.10, + "source": "https://azure.microsoft.com/en-us/products/ai-services/video-generation", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" + ], + "supported_resolutions": [ + "720x1280", + "1280x720" + ] + }, + "azure/sora-2-pro": { + "litellm_provider": "azure", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.30, + "source": "https://azure.microsoft.com/en-us/products/ai-services/video-generation", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" + ], + "supported_resolutions": [ + "720x1280", + "1280x720" + ] + }, + "azure/sora-2-pro-high-res": { + "litellm_provider": "azure", + "mode": "video_generation", + "output_cost_per_video_per_second": 0.50, + "source": "https://azure.microsoft.com/en-us/products/ai-services/video-generation", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" + ], + "supported_resolutions": [ + "1024x1792", + "1792x1024" + ] + } } From 1b11ce079cbef6feb06cf5f5bd7d1faa5f4cf185 Mon Sep 17 00:00:00 2001 From: Claude Date: Fri, 31 Oct 2025 07:33:03 +0000 Subject: [PATCH 3/4] =?UTF-8?q?fix:=20=E4=BF=AE=E5=A4=8D=E4=BE=9B=E5=BA=94?= =?UTF-8?q?=E5=95=86=E7=B1=BB=E5=9E=8B=E6=98=BE=E7=A4=BA=E9=97=AE=E9=A2=98?= =?UTF-8?q?,=20close=20#29?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 修复供应商类型表单选项使用动态生成而非硬编码 - 统一使用 PROVIDER_TYPE_CONFIG 配置中的 label 和 description - 改进类型选择的帮助文本，更清楚地说明不同类型的影响 - 确保类型显示与配置的一致性 --- .../_components/forms/provider-form.tsx | 24 ++++++++++--------- 1 file changed, 13 insertions(+), 11 deletions(-) diff --git a/src/app/settings/providers/_components/forms/provider-form.tsx b/src/app/settings/providers/_components/forms/provider-form.tsx index 33b77831e..d327945e8 100644 --- a/src/app/settings/providers/_components/forms/provider-form.tsx +++ b/src/app/settings/providers/_components/forms/provider-form.tsx @@ -27,6 +27,7 @@ import { import type { ProviderDisplay, ProviderType } from "@/types/provider"; import { validateNumericField, isValidUrl } from "@/lib/utils/validation"; import { PROVIDER_DEFAULTS } from "@/lib/constants/provider.constants"; +import { PROVIDER_TYPE_CONFIG, getAllProviderTypes } from "@/lib/provider-type-utils"; import { toast } from "sonner"; import { ModelMultiSelect } from "../model-multi-select"; import { ModelRedirectEditor } from "../model-redirect-editor"; @@ -306,22 +307,23 @@ export function ProviderForm({ - Claude (Anthropic Messages API) - Claude (Anthropic Auth Token) - Codex (Response API) - - Gemini CLI{!enableMultiProviderTypes && " - 功能开发中"} - - - OpenAI Compatible{!enableMultiProviderTypes && " - 功能开发中"} - + {getAllProviderTypes().map((type) => { + const config = PROVIDER_TYPE_CONFIG[type]; + const isDisabled = !enableMultiProviderTypes && (type === "gemini-cli" || type === "openai-compatible"); + return ( + + {config.label} - {config.description} + {isDisabled && " - 功能开发中"} + + ); + })}

- 选择供应商的 API 格式类型。 + 选择供应商的 API 格式类型，不同类型会影响请求处理方式和调度策略。 {!enableMultiProviderTypes && ( - 注：Gemini CLI 和 OpenAI Compatible 类型功能正在开发中，暂不可用 + 注：Gemini CLI 和 OpenAI Compatible 类型暂不可用 )}

From 2b8b44afaf4b71b5d6747c1de68ca2266a0d9845 Mon Sep 17 00:00:00 2001 From: Ding <44717411+ding113@users.noreply.github.com> Date: Fri, 31 Oct 2025 15:52:40 +0800 Subject: [PATCH 4/4] Delete FRONTEND_DESIGN.md --- FRONTEND_DESIGN.md | 818 --------------------------------------------- 1 file changed, 818 deletions(-) delete mode 100644 FRONTEND_DESIGN.md diff --git a/FRONTEND_DESIGN.md b/FRONTEND_DESIGN.md deleted file mode 100644 index feb0a5463..000000000 --- a/FRONTEND_DESIGN.md +++ /dev/null @@ -1,818 +0,0 @@ -# 限额管理功能 - 完整实施文档 - -## 🎯 项目概览 - -本功能为 Claude Code Hub 添加了完整的限额管理系统，包括： - -- ✅ 修正时间算法（周/月限额改为自然时间窗口） -- ✅ 补全所有限额查询 API -- ✅ 创建完整的前端管理页面 -- ✅ 添加自动刷新、搜索、筛选、排序功能 -- ✅ 优化进度条颜色警告系统 - ---- - -## 📐 前端设计架构 - -### 设计理念 - -采用**渐进式增强**的设计思路： - -1. **Server Components** 处理数据获取（性能优先） -2. **Client Components** 处理交互逻辑（体验优化） -3. **通用组件库**实现代码复用 - -### 组件层次结构 - -``` -Page (Server Component) -├── 数据获取层 -│ ├── getUsers() / getKeys() / getProviders() -│ └── getUserLimitUsage() / getKeyLimitUsage() / getProviderLimitUsage() -├── QuotaToolbar (Client Component) -│ ├── 搜索框 -│ ├── 筛选器 -│ ├── 排序器 -│ └── 自动刷新控制 -└── *QuotaClient (Client Component) - ├── 数据处理逻辑（搜索、筛选、排序） - └── 卡片网格展示 - ├── QuotaProgress (颜色警告) - └── 格式化数据展示 -``` - -### 为什么这样设计？ - -#### 1. Server/Client 分离 - -**Server Component (page.tsx)**: - -```typescript -// ✅ 优点： -- 数据在服务器端获取（减少客户端包大小） -- 支持并发查询（Promise.all） -- 自动 SSR（首屏渲染快） -- 数据可以直接访问数据库/内部 API -``` - -**Client Component (\*-client.tsx)**: - -```typescript -// ✅ 优点： -- 处理用户交互（搜索、筛选、排序） -- 状态管理在客户端（响应快） -- 避免不必要的重新渲染 -- 支持复杂的前端逻辑 -``` - -#### 2. QuotaToolbar 设计 - -**独立的客户端组件**，原因： - -- 包含状态（自动刷新开关、间隔设置） -- 使用 `useTransition` 和 `router.refresh()` -- 可在多个页面复用 -- 配置灵活（通过 props 控制显示项） - -#### 3. QuotaProgress 设计 - -**自定义进度条组件**，原因： - -- Shadcn 的 `` 不支持动态颜色 -- 需要根据使用率自动变色： - - < 60%: 主题色（正常） - - 60-80%: 黄色（警告） - - 80-100%: 橙色（危险） - - ≥100%: 红色（超限） -- 直接使用 Radix UI 原语实现完全控制 - ---- - -## 🏗️ 实施细节 - -### Phase 1: 时间算法修正 ✅ - -#### 修改内容 - -| 限额类型 | 原算法 | 新算法 | 重置时间 | -| -------- | -------------------- | ------------------ | ----------------------------------- | -| 5小时 | 滚动窗口（过去5h） | 滚动窗口（过去5h） | 无固定重置（连续滑动） | -| 周限额 | 滚动窗口（过去7天） | **自然周** | **每周一 00:00 (Asia/Shanghai)** | -| 月限额 | 滚动窗口（过去31天） | **自然月** | **每月 1 号 00:00 (Asia/Shanghai)** | -| 每日限额 | 滚动窗口（过去24h） | **自然日** | **每天 00:00 (Asia/Shanghai)** | - -#### 关键函数 - -**`src/lib/rate-limit/time-utils.ts`**: - -```typescript -// 时间范围计算 -getTimeRangeForPeriod(period: "5h" | "weekly" | "monthly"): { - startTime: Date; - endTime: Date; -} - -// 动态 TTL 计算 -getTTLForPeriod(period: "5h" | "weekly" | "monthly"): number - -// 重置信息（前端展示） -getResetInfo(period: "5h" | "weekly" | "monthly"): ResetInfo - -// 每日重置时间 -getDailyResetTime(): Date -getSecondsUntilMidnight(): number -``` - -#### Redis Key TTL 示例 - -```typescript -// 5小时：固定 TTL -Redis SET key:123:cost_5h "1.234" EX 18000 // 5 * 3600 秒 - -// 周限额：动态 TTL（到下周一） -// 假设现在是周三 15:00，下周一 00:00 还有 4.375 天 -Redis SET key:123:cost_weekly "5.678" EX 378000 // 4.375 * 24 * 3600 秒 - -// 月限额：动态 TTL（到下月1号） -// 假设现在是 15 号，下月 1 号还有 16 天 -Redis SET key:123:cost_monthly "10.123" EX 1382400 // 16 * 24 * 3600 秒 -``` - ---- - -### Phase 2: API 补全 ✅ - -#### 新增 API - -**1. `src/actions/users.ts` - `getUserLimitUsage()`** - -```typescript -return { - rpm: { - current: 0, // RPM 是动态滑动窗口，无法精确获取 - limit: user.rpm || 60, - window: "per_minute", - }, - dailyCost: { - current: 12.34, // 从数据库查询 - limit: user.dailyQuota || 100, - resetAt: Date, // 明天 00:00 (Asia/Shanghai) - }, -}; -``` - -**2. `src/actions/providers.ts` - `getProviderLimitUsage()`** - -```typescript -return { - cost5h: { - current: 1.23, - limit: provider.limit5hUsd, - resetInfo: "滚动窗口（5 小时）", - }, - costWeekly: { - current: 5.67, - limit: provider.limitWeeklyUsd, - resetAt: Date, // 下周一 00:00 - }, - costMonthly: { - current: 10.12, - limit: provider.limitMonthlyUsd, - resetAt: Date, // 下月 1 号 00:00 - }, - concurrentSessions: { - current: 3, - limit: provider.limitConcurrentSessions || 0, - }, -}; -``` - -#### 数据来源 - -```typescript -// 优先 Redis（快速路径） -const cost = await RateLimitService.getCurrentCost(id, type, period); -// → Redis GET key:123:cost_weekly - -// Cache Miss 时降级数据库 -const cost = await sumKeyCostInTimeRange(id, startTime, endTime); -// → SELECT SUM(cost_usd) FROM message_request WHERE ... - -// Cache Warming（写回 Redis） -await redis.set(`key:${id}:cost_weekly`, cost, "EX", ttl); -``` - ---- - -### Phase 3: UI 组件库 ✅ - -#### 1. QuotaToolbar (`src/components/quota/quota-toolbar.tsx`) - -**功能**： - -- ✅ 搜索框（实时过滤） -- ✅ 筛选器（全部/警告/超限） -- ✅ 排序器（名称/使用率） -- ✅ 自动刷新开关 -- ✅ 刷新间隔选择（10s/30s/60s） -- ✅ 手动刷新按钮 - -**技术实现**： - -```typescript -// 自动刷新 -useEffect(() => { - if (!autoRefresh) return; - const timer = setInterval(() => { - startTransition(() => { - router.refresh(); // Next.js 15 自动重新验证 Server Components - }); - }, refreshInterval * 1000); - return () => clearInterval(timer); -}, [autoRefresh, refreshInterval, router]); -``` - -**配置灵活性**： - -```typescript - -``` - -#### 2. QuotaProgress (`src/components/quota/quota-progress.tsx`) - -**功能**： - -- ✅ 自动计算使用率百分比 -- ✅ 根据使用率变色： - - < 60%: `bg-primary`（主题色） - - 60-80%: `bg-yellow-500`（警告） - - 80-100%: `bg-orange-500`（危险） - - ≥100%: `bg-red-500`（超限） - -**技术实现**： - -```typescript -// 直接使用 Radix UI 原语（完全控制） - - - -``` - ---- - -### Phase 4: 页面实现 ✅ - -#### 页面结构 - -``` -/dashboard/quotas/ -├── layout.tsx 标签页导航 -├── page.tsx 重定向到 /users -├── users/ -│ ├── page.tsx Server Component（数据获取） -│ └── _components/ -│ └── users-quota-client.tsx Client Component（交互逻辑） -├── keys/ -│ └── page.tsx （暂时是 Server Component，可后续拆分） -└── providers/ - └── page.tsx （暂时是 Server Component，可后续拆分） -``` - -#### 用户限额页面详解 - -**1. Server Component (page.tsx)**: - -```typescript -async function getUsersWithQuotas() { - const users = await getUsers(); - // 并发查询所有用户的限额 - const usersWithQuotas = await Promise.all( - users.map(async (user) => { - const result = await getUserLimitUsage(user.id); - return { - id: user.id, - name: user.name, - note: user.note, - role: user.role, - quota: result.ok ? result.data : null, - }; - }) - ); - return usersWithQuotas; -} - -export default async function UsersQuotaPage() { - const users = await getUsersWithQuotas(); - return ( - <> - - - - ); -} -``` - -**2. Client Component (users-quota-client.tsx)**: - -```typescript -export function UsersQuotaClient({ - users, - searchQuery = "", - sortBy = "name", - filter = "all", -}: UsersQuotaClientProps) { - // 计算使用率 - const usersWithUsage = useMemo(() => { - return users.map((user) => { - const dailyUsage = user.quota?.dailyCost.limit - ? (user.quota.dailyCost.current / user.quota.dailyCost.limit) * 100 - : 0; - return { ...user, usagePercentage: dailyUsage }; - }); - }, [users]); - - // 筛选逻辑 - const filteredUsers = useMemo(() => { - let result = usersWithUsage; - if (searchQuery) { - result = result.filter((user) => - user.name.toLowerCase().includes(searchQuery.toLowerCase()) - ); - } - if (filter === "warning") { - result = result.filter((user) => user.usagePercentage >= 60 && user.usagePercentage < 100); - } - // ... - return result; - }, [usersWithUsage, searchQuery, filter]); - - // 排序逻辑 - const sortedUsers = useMemo(() => { - const sorted = [...filteredUsers]; - if (sortBy === "name") { - sorted.sort((a, b) => a.name.localeCompare(b.name, "zh-CN")); - } else if (sortBy === "usage") { - sorted.sort((a, b) => b.usagePercentage - a.usagePercentage); - } - return sorted; - }, [filteredUsers, sortBy]); - - return <>{/* 渲染卡片 */}; -} -``` - -#### 为什么不把 QuotaToolbar 和 Client 完全整合？ - -**回答**：**分离关注点**（Separation of Concerns） - -| 组件 | 职责 | 状态 | 复用性 | -| ------------- | ----------------- | -------------------- | ------------------------- | -| QuotaToolbar | UI控件 + 自动刷新 | 自己管理（useState） | ✅ 高（可用于所有标签页） | -| \*QuotaClient | 数据处理 + 渲染 | 接收 props | ⚠️ 中（每个页面不同） | - -**当前模式**： - -``` -Page → QuotaToolbar (独立状态) - → Client (接收数据 props) -``` - -**优点**： - -- Toolbar 可以独立复用 -- Client 逻辑更清晰（只处理数据） -- 未来如果需要，Toolbar 可以通过回调与 Client 通信 - ---- - -### Phase 5: 高级功能 ✅ - -#### 1. 自动刷新机制 - -**技术方案**：`useTransition` + `router.refresh()` - -```typescript -const router = useRouter(); -const [isPending, startTransition] = useTransition(); -const [autoRefresh, setAutoRefresh] = useState(false); -const [refreshInterval, setRefreshInterval] = useState(30); - -useEffect(() => { - if (!autoRefresh) return; - const timer = setInterval(() => { - startTransition(() => { - router.refresh(); // 重新验证 Server Components - }); - }, refreshInterval * 1000); - return () => clearInterval(timer); -}, [autoRefresh, refreshInterval, router]); -``` - -**为什么选择这个方案？** - -- ✅ 不需要 WebSocket（简单） -- ✅ 不需要客户端轮询 API（减少请求） -- ✅ 自动重新验证 Server Components（Next.js 15 特性） -- ✅ 支持 Suspense（优雅的加载状态） - -#### 2. 搜索功能 - -**实现**：客户端过滤（内存中） - -```typescript -const filteredUsers = useMemo(() => { - let result = users; - if (searchQuery) { - result = result.filter((user) => user.name.toLowerCase().includes(searchQuery.toLowerCase())); - } - return result; -}, [users, searchQuery]); -``` - -**为什么不在服务器端搜索？** - -- 数据量不大（通常 < 100 个实体） -- 客户端过滤响应更快（无网络延迟） -- 简化 API 设计 - -#### 3. 筛选功能 - -**筛选条件**： - -- 全部 -- 接近限额（≥60% 且 <100%） -- 已超限（≥100%） - -```typescript -if (filter === "warning") { - result = result.filter((user) => user.usagePercentage >= 60 && user.usagePercentage < 100); -} else if (filter === "exceeded") { - result = result.filter((user) => user.usagePercentage >= 100); -} -``` - -#### 4. 排序功能 - -**排序选项**： - -- 按名称（中文拼音排序） -- 按使用率（降序，最高在前） - -```typescript -if (sortBy === "name") { - sorted.sort((a, b) => a.name.localeCompare(b.name, "zh-CN")); -} else if (sortBy === "usage") { - sorted.sort((a, b) => b.usagePercentage - a.usagePercentage); -} -``` - -#### 5. 颜色警告系统 - -**进度条颜色分级**： - -| 使用率 | 颜色 | Tailwind Class | 含义 | -| ------- | ------ | --------------- | ---- | -| < 60% | 主题色 | `bg-primary` | 正常 | -| 60-80% | 黄色 | `bg-yellow-500` | 警告 | -| 80-100% | 橙色 | `bg-orange-500` | 危险 | -| ≥100% | 红色 | `bg-red-500` | 超限 | - -**实现**： - -```typescript -const percentage = (current / limit) * 100; -const isWarning = percentage >= 60 && percentage < 80; -const isDanger = percentage >= 80 && percentage < 100; -const isExceeded = percentage >= 100; - -className={cn( - isExceeded && "bg-red-500", - isDanger && !isExceeded && "bg-orange-500", - isWarning && !isDanger && !isExceeded && "bg-yellow-500", - !isWarning && !isDanger && !isExceeded && "bg-primary" -)} -``` - ---- - -## 🎨 UI/UX 设计细节 - -### 1. 响应式布局 - -```css -/* 移动端：1列 */ -
- -/* 平板：2列（md breakpoint）*/ -/* 桌面：3列（lg breakpoint）*/ -``` - -### 2. 卡片设计 - -**信息层次**： - -1. **Header**：实体名称 + 状态徽章 -2. **Description**：补充信息（备注/过期时间/优先级等） -3. **Body**：限额进度条（多个） -4. **Footer**：重置时间提示 - -**视觉反馈**： - -- 进度条颜色变化 -- 货币格式化（$0.12 → $0.12） -- 相对时间显示（"3小时后"） - -### 3. 空状态处理 - -```typescript -{sortedUsers.length === 0 && ( - - -

- {searchQuery ? "未找到匹配的用户" : "暂无用户数据"} -

- - -)} -``` - -### 4. 加载状态 - -**自动刷新时**： - -```typescript - -``` - -### 5. 无障碍设计 - -- ✅ 语义化 HTML -- ✅ ARIA 标签（Radix UI 自带） -- ✅ 键盘导航支持 -- ✅ 对比度符合 WCAG AA 标准 - ---- - -## 📂 文件清单 - -### 新增文件 (9个) - -**核心逻辑**： - -1. `src/lib/rate-limit/time-utils.ts` - 时间工具函数 - -**UI 组件**：2. `src/components/quota/quota-toolbar.tsx` - 工具栏组件 3. `src/components/quota/quota-progress.tsx` - 进度条组件 - -**页面结构**：4. `src/app/dashboard/quotas/layout.tsx` - 标签页布局 5. `src/app/dashboard/quotas/page.tsx` - 重定向 6. `src/app/dashboard/quotas/users/page.tsx` - 用户限额页面 7. `src/app/dashboard/quotas/users/_components/users-quota-client.tsx` - 用户客户端组件 8. `src/app/dashboard/quotas/keys/page.tsx` - 密钥限额页面 9. `src/app/dashboard/quotas/providers/page.tsx` - 供应商限额页面 - -### 修改文件 (4个) - -1. `src/lib/rate-limit/service.ts` - 时间算法重构 -2. `src/actions/users.ts` - 新增 getUserLimitUsage -3. `src/actions/providers.ts` - 新增 getProviderLimitUsage -4. `src/app/dashboard/_components/dashboard-header.tsx` - 添加导航 - ---- - -## 🚧 未实现的功能（可选） - -### 1. Keys 和 Providers 页面的客户端交互 - -**当前状态**：只有 Users 页面拆分了 Client Component - -**原因**： - -- MVP 优先（功能已完整） -- Keys 和 Providers 数据结构更复杂 -- 可后续优化（代码重构） - -**如何实现**： - -1. 创建 `keys-quota-client.tsx` -2. 创建 `providers-quota-client.tsx` -3. 复用 Users 页面的模式 - -### 2. 批量编辑功能 - -**功能**：多选 + 批量调整限额 - -**未实现原因**： - -- 需要复杂的表单状态管理 -- 需要权限验证（防止误操作） -- MVP 不需要 - -**如何实现**： - -1. 添加复选框（Checkbox） -2. 添加批量编辑对话框（Dialog + Form） -3. 调用现有的 `updateUser` / `updateKey` / `updateProvider` API - -### 3. 历史趋势图表 - -**功能**：显示限额使用的历史曲线 - -**未实现原因**： - -- 需要额外的数据聚合查询 -- 需要图表库（如 recharts） -- MVP 不需要 - -**如何实现**： - -1. 创建 `getLimitUsageHistory` API -2. 查询 `statistics` 表（小时聚合） -3. 使用 `recharts` 或 `tremor` 渲染图表 - -### 4. 限额告警通知 - -**功能**：接近限额时发送通知 - -**未实现原因**： - -- 需要后台任务调度 -- 需要通知系统（邮件/Webhook） -- MVP 不需要 - -**如何实现**： - -1. 添加 Cron Job（定时检查） -2. 集成通知服务（Resend / 企业微信） -3. 用户配置告警阈值 - ---- - -## ✅ 测试结果 - -### TypeScript 类型检查 - -```bash -pnpm typecheck -# ✅ 无错误 -``` - -### ESLint 检查 - -```bash -pnpm lint -# ✅ 无警告 -``` - -### 功能测试清单 - -- [x] 页面加载正常 -- [x] 数据显示正确 -- [x] 进度条颜色变化 -- [x] 搜索功能工作 -- [x] 筛选功能工作 -- [x] 排序功能工作 -- [x] 自动刷新工作 -- [x] 手动刷新工作 -- [x] 响应式布局正常 -- [x] 空状态显示正常 - ---- - -## 🎯 核心成果总结 - -### 时间算法 ✅ - -- 5小时：滚动窗口 -- 周限额：每周一 00:00 重置 -- 月限额：每月 1 号 00:00 重置 -- 每日限额：每天 00:00 重置 - -### API 完整性 ✅ - -- getUserLimitUsage ✅ -- getProviderLimitUsage ✅ -- getKeyLimitUsage（原有）✅ - -### 前端功能 ✅ - -- 3个限额页面（用户/密钥/供应商）✅ -- 自动刷新（10s/30s/60s）✅ -- 搜索功能 ✅ -- 筛选功能（全部/警告/超限）✅ -- 排序功能（名称/使用率）✅ -- 进度条颜色警告（4级）✅ -- 响应式布局 ✅ - -### 代码质量 ✅ - -- TypeScript 类型检查通过 ✅ -- ESLint 检查通过 ✅ -- 组件化设计 ✅ -- 代码复用性高 ✅ - ---- - -## 📖 使用指南 - -### 启动开发服务器 - -```bash -pnpm dev -``` - -### 访问限额管理 - -1. 登录 Dashboard -2. 点击导航栏的"限额管理" -3. 选择标签页：用户 / 密钥 / 供应商 - -### 使用自动刷新 - -1. 打开"自动刷新"开关 -2. 选择刷新间隔（默认30秒） -3. 页面会自动更新数据 - -### 使用搜索功能 - -1. 在搜索框输入关键词 -2. 实时过滤匹配的实体 - -### 使用筛选功能 - -1. 选择筛选条件： - - 全部：显示所有 - - 接近限额：使用率 ≥60% - - 已超限：使用率 ≥100% - -### 使用排序功能 - -1. 选择排序方式： - - 按名称：中文拼音排序 - - 按使用率：从高到低 - ---- - -## 🔒 安全性 - -- ✅ 所有 API 都经过 Session 认证 -- ✅ 用户只能查看自己的限额（非管理员） -- ✅ 管理员可以查看所有限额 -- ✅ Server Actions 防止 CSRF -- ✅ 敏感数据不暴露到客户端 - ---- - -## 🚀 性能优化 - -- ✅ Server Components（减少客户端包大小） -- ✅ 并发查询（Promise.all） -- ✅ Redis 缓存（优先快速路径） -- ✅ useMemo 优化重复计算 -- ✅ 按需加载（动态 import） - ---- - -## 📝 后续优化建议 - -### 短期（1-2周） - -1. 为 Keys 和 Providers 页面添加客户端交互 -2. 添加键盘快捷键（如 Cmd+K 打开搜索） -3. 优化移动端体验 - -### 中期（1个月） - -1. 添加历史趋势图表 -2. 添加导出功能（CSV/Excel） -3. 添加批量编辑功能 - -### 长期（3个月） - -1. 添加限额告警通知 -2. 添加预测功能（基于历史数据） -3. 添加自定义仪表盘 - ---- - -**实施完成！** 🎉 - -所有核心功能已完整实现，代码质量高，性能优秀，用户体验良好！