Compare commits

..

44 Commits

Author SHA1 Message Date
github-actions[bot]
38e0adb499 chore: sync VERSION file with release v1.1.234 [skip ci] 2025-12-15 01:44:56 +00:00
shaw
7698f5ce11 chore: 增加opus4.5快捷映射按钮 2025-12-15 09:44:36 +08:00
shaw
ce13e5ddb1 fix: console账号转发使用白名单透传header 2025-12-15 09:38:51 +08:00
github-actions[bot]
87426133a2 chore: sync VERSION file with release v1.1.233 [skip ci] 2025-12-12 06:58:37 +00:00
Wesley Liddick
60f5cbe780 Merge pull request #800 from DaydreamCoding/feature/concurrency-queue
feat: enhance concurrency queue with health check and admin endpoints
2025-12-12 01:58:24 -05:00
Wesley Liddick
86d8ed52d7 Merge pull request #799 from kikii16/main [skip ci]
尝试自定义请求体maxSize大小
2025-12-12 01:58:12 -05:00
DaydreamCoding
07633ddbf8 feat: enhance concurrency queue with health check and admin endpoints
- Add queue health check for fast-fail when overloaded (P90 > threshold)
  - Implement socket identity verification with UUID token
  - Add wait time statistics (P50/P90/P99) and queue stats tracking
  - Add admin endpoints for queue stats and cleanup
  - Add CLEAR_CONCURRENCY_QUEUES_ON_STARTUP config option
  - Update documentation with troubleshooting and proxy config guide
2025-12-12 14:32:09 +08:00
kikii16
dd90c426e4 Update docker-compose.yml 2025-12-12 11:38:31 +08:00
kikii16
059357f834 Update .env.example 2025-12-12 11:36:01 +08:00
kikii16
ceee3a9295 Update auth.js 2025-12-12 11:34:46 +08:00
Wesley Liddick
403f609f69 Merge pull request #797 from thejoven/patch-1 [skip ci]
修改提醒内容:新版 gemini-cli 的 Access Token 位置和文件名已变更
2025-12-11 21:10:07 -05:00
thejoven
304c8dda4e Update AccountForm.vue
新版 gemini-cli 的 Access Token 位置和文件名已变更
2025-12-12 00:43:11 +08:00
github-actions[bot]
c4d923c46f chore: sync VERSION file with release v1.1.232 [skip ci] 2025-12-11 02:46:31 +00:00
Wesley Liddick
fa9f9146a2 Merge pull request #793 from qq790716890/main
fix:修复codex统计token问题
2025-12-10 21:46:15 -05:00
Wesley Liddick
dc9409a5a6 Merge pull request #788 from atoz03/main [skip ci]
fix: 账户列表默认显示限额/限流账号并加固加载健壮性
2025-12-10 21:44:55 -05:00
LZY
51aa8dc381 fix:修复codex统计token问题 2025-12-10 22:56:25 +08:00
github-actions[bot]
5061f4d9fd chore: sync VERSION file with release v1.1.231 [skip ci] 2025-12-10 12:11:39 +00:00
Wesley Liddick
4337af06d4 Merge pull request #791 from DaydreamCoding/feature/log-opt
fix: improve logging for client disconnections in relay services
2025-12-10 07:11:24 -05:00
Wesley Liddick
d226d57325 Merge pull request #790 from DaydreamCoding/patch-4 [skip ci]
fix(security): add authenticateAdmin middleware to concurrency routes
2025-12-10 07:11:07 -05:00
Wesley Liddick
9f92c58640 Merge pull request #789 from DaydreamCoding/feature/user-message-queue-optimize [skip ci]
feat(queue): 优化用户消息队列锁释放时机
2025-12-10 07:10:38 -05:00
QTom
8901994644 fix: improve logging for client disconnections in relay services
当客户端主动断开连接时,改为使用 INFO 级别记录而不是 ERROR 级别,
因为这是正常情况而非错误。

- ccrRelayService: 区分客户端断开与实际错误
- claudeConsoleRelayService: 区分客户端断开与实际错误
- claudeRelayService: 区分客户端断开与实际错误
- droidRelayService: 区分客户端断开与实际错误
2025-12-10 14:18:44 +08:00
QTom
e3ca555df7 fix(security): add authenticateAdmin middleware to concurrency routes
fix(security): add authenticateAdmin middleware to concurrency routes

All concurrency management endpoints were missing authentication,
allowing unauthenticated access to view and clear concurrency data.
2025-12-10 13:59:25 +08:00
QTom
3b9c96dff8 feat(queue): 优化用户消息队列锁释放时机
将队列锁释放时机从"请求完成后"提前到"请求发送后",因为 Claude API
限流(RPM)基于请求发送时刻计算,无需等待响应完成。

主要变更:
- 移除锁续租机制(startLockRenewal、refreshUserMessageLock)
- 所有 relay 服务在请求发送成功后立即释放锁
- 流式请求通过 onResponseStart 回调在收到响应头时释放
- 调整默认配置:timeoutMs 60s→5s,lockTtlMs 120s→5s
- 新增 USER_MESSAGE_QUEUE_LOCK_TTL_MS 环境变量支持
2025-12-10 01:26:00 +08:00
github-actions[bot]
cb94a4260e chore: sync VERSION file with release v1.1.230 [skip ci] 2025-12-09 10:59:05 +00:00
Wesley Liddick
ac9499aa6d Merge pull request #787 from DaydreamCoding/feature/user-message-queue-fix
feat: 修复 userMessageQueue 配置缺失导致的 500 错误
2025-12-09 05:58:35 -05:00
atoz03
fc25840f95 fix: 账户列表默认显示限额/限流账号并加固加载健壮性
- 将账户页状态筛选默认值从 normal 改为 all,额度满/限流/异常账号默认可见
  - appendAccounts 使用 Array.isArray 兜底接口响应,避免空/异常数据导致“加载账户失败”
  - 便于在额度耗尽场景查看并处理账号
2025-12-09 18:49:57 +08:00
QTom
b409adf9d8 feat: 修复 userMessageQueue 配置缺失导致的 500 错误
- 在 config.example.js 添加缺失的 userMessageQueue 配置段
  - 在 userMessageQueueService.js 添加防御性代码,当配置未定义时使用默认值

  修复 #783 合并后新用户安装报错:
  Cannot read properties of undefined (reading 'enabled')
2025-12-09 18:41:13 +08:00
github-actions[bot]
b76776d7b0 chore: sync VERSION file with release v1.1.229 [skip ci] 2025-12-09 09:49:01 +00:00
Wesley Liddick
8499992abd Merge pull request #783 from DaydreamCoding/feature/user-message-queue
feat: 添加用户手动输入的消息串行队列功能,防止同账户并发请求触发限流&封号
2025-12-09 04:48:49 -05:00
QTom
dc96447d72 style: 格式化文件以符合 Prettier 规范 2025-12-09 17:18:43 +08:00
QTom
f5d1c25295 feat: 添加用户消息串行队列功能,防止同账户并发请求触发限流
- 新增 userMessageQueueService.js 实现基于 Redis 的队列锁机制
- 在 claudeRelayService、claudeConsoleRelayService、bedrockRelayService、ccrRelayService 中集成队列锁
- 添加 Redis 原子性 Lua 脚本:acquireUserMessageLock、releaseUserMessageLock、refreshUserMessageLock
- 支持锁续租机制,防止长时间请求锁过期
- 添加可配置参数:USER_MESSAGE_QUEUE_ENABLED、USER_MESSAGE_QUEUE_DELAY_MS、USER_MESSAGE_QUEUE_TIMEOUT_MS
- 添加 Web 管理界面配置入口
- 添加 logger.performance 方法用于结构化性能日志
- 添加完整单元测试 (tests/userMessageQueue.test.js)
2025-12-09 17:04:01 +08:00
github-actions[bot]
95870883a1 chore: sync VERSION file with release v1.1.228 [skip ci] 2025-12-08 13:05:52 +00:00
shaw
aa71c58400 fix: 修复强制会话绑定首次会话的bug 2025-12-08 21:05:21 +08:00
github-actions[bot]
698f3d7daa chore: sync VERSION file with release v1.1.227 [skip ci] 2025-12-08 08:10:44 +00:00
shaw
5af5e55d80 chore: trigger release [force release]
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-08 16:10:09 +08:00
shaw
5a18f54abd Merge branch 'dev' 2025-12-08 16:08:10 +08:00
Wesley Liddick
6d3b51510a Merge pull request #779 from sususu98/fix/explore-agent-prompt-template [skip ci]
fix: 添加 Explore agent 系统提示词模板并优化日志级别
2025-12-08 03:06:55 -05:00
shaw
c79fdc4d71 feat: 增加Claude会话强制绑定 2025-12-08 16:06:23 +08:00
shaw
659072075d fix: 统一格式化claude参数传递 2025-12-08 14:23:13 +08:00
sususu
cf93128a96 fix: format 2025-12-08 11:01:10 +08:00
sususu
909b5ad37f fix: 添加 Explore agent 系统提示词模板并优化日志级别
- 添加 exploreAgentSystemPrompt 模板用于匹配 Claude Code Explore 子代理
- 将详细的 prompt 内容从 error 日志移至 warn 级别,减少日志噪音

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-08 10:45:46 +08:00
shaw
bab7073822 fix: 修复api-keys页面窗口费率显示问题 2025-12-08 09:58:54 +08:00
github-actions[bot]
0035f8cb4f chore: sync VERSION file with release v1.1.226 [skip ci] 2025-12-08 01:45:46 +00:00
shaw
d49cc0cec8 fix: 修复api-keys页面窗口费率显示问题 2025-12-08 09:45:19 +08:00
36 changed files with 6649 additions and 403 deletions

View File

@@ -61,6 +61,9 @@ PROXY_USE_IPV4=true
# ⏱️ 请求超时配置 # ⏱️ 请求超时配置
REQUEST_TIMEOUT=600000 # 请求超时设置毫秒默认10分钟 REQUEST_TIMEOUT=600000 # 请求超时设置毫秒默认10分钟
# 🔧 请求体大小配置
REQUEST_MAX_SIZE_MB=60
# 📈 使用限制 # 📈 使用限制
DEFAULT_TOKEN_LIMIT=1000000 DEFAULT_TOKEN_LIMIT=1000000
@@ -75,6 +78,8 @@ TOKEN_USAGE_RETENTION=2592000000
HEALTH_CHECK_INTERVAL=60000 HEALTH_CHECK_INTERVAL=60000
TIMEZONE_OFFSET=8 # UTC偏移小时数默认+8中国时区 TIMEZONE_OFFSET=8 # UTC偏移小时数默认+8中国时区
METRICS_WINDOW=5 # 实时指标统计窗口分钟可选1-60默认5分钟 METRICS_WINDOW=5 # 实时指标统计窗口分钟可选1-60默认5分钟
# 启动时清理残留的并发排队计数器默认true多实例部署时建议设为false
CLEAR_CONCURRENCY_QUEUES_ON_STARTUP=true
# 🎨 Web 界面配置 # 🎨 Web 界面配置
WEB_TITLE=Claude Relay Service WEB_TITLE=Claude Relay Service

View File

@@ -22,6 +22,7 @@ Claude Relay Service 是一个多平台 AI API 中转服务,支持 **Claude (
- **权限控制**: API Key支持权限配置all/claude/gemini/openai等控制可访问的服务类型 - **权限控制**: API Key支持权限配置all/claude/gemini/openai等控制可访问的服务类型
- **客户端限制**: 基于User-Agent的客户端识别和限制支持ClaudeCode、Gemini-CLI等预定义客户端 - **客户端限制**: 基于User-Agent的客户端识别和限制支持ClaudeCode、Gemini-CLI等预定义客户端
- **模型黑名单**: 支持API Key级别的模型访问限制 - **模型黑名单**: 支持API Key级别的模型访问限制
- **并发请求排队**: 当API Key并发数超限时请求进入队列等待而非立即返回429支持配置最大排队数、超时时间适用于Claude Code Agent并行工具调用场景
### 主要服务组件 ### 主要服务组件
@@ -60,6 +61,7 @@ Claude Relay Service 是一个多平台 AI API 中转服务,支持 **Claude (
- **apiKeyService.js**: API Key管理验证、限流、使用统计、成本计算 - **apiKeyService.js**: API Key管理验证、限流、使用统计、成本计算
- **userService.js**: 用户管理系统支持用户注册、登录、API Key管理 - **userService.js**: 用户管理系统支持用户注册、登录、API Key管理
- **userMessageQueueService.js**: 用户消息串行队列,防止同账户并发用户消息触发限流
- **pricingService.js**: 定价服务,模型价格管理和成本计算 - **pricingService.js**: 定价服务,模型价格管理和成本计算
- **costInitService.js**: 成本数据初始化服务 - **costInitService.js**: 成本数据初始化服务
- **webhookService.js**: Webhook通知服务 - **webhookService.js**: Webhook通知服务
@@ -185,12 +187,17 @@ npm run service:stop # 停止服务
- `CLAUDE_OVERLOAD_HANDLING_MINUTES`: Claude 529错误处理持续时间分钟0表示禁用 - `CLAUDE_OVERLOAD_HANDLING_MINUTES`: Claude 529错误处理持续时间分钟0表示禁用
- `STICKY_SESSION_TTL_HOURS`: 粘性会话TTL小时默认1 - `STICKY_SESSION_TTL_HOURS`: 粘性会话TTL小时默认1
- `STICKY_SESSION_RENEWAL_THRESHOLD_MINUTES`: 粘性会话续期阈值分钟默认0 - `STICKY_SESSION_RENEWAL_THRESHOLD_MINUTES`: 粘性会话续期阈值分钟默认0
- `USER_MESSAGE_QUEUE_ENABLED`: 启用用户消息串行队列默认false
- `USER_MESSAGE_QUEUE_DELAY_MS`: 用户消息请求间隔毫秒默认200
- `USER_MESSAGE_QUEUE_TIMEOUT_MS`: 队列等待超时毫秒默认5000锁持有时间短无需长等待
- `USER_MESSAGE_QUEUE_LOCK_TTL_MS`: 锁TTL毫秒默认5000请求发送后立即释放无需长TTL
- `METRICS_WINDOW`: 实时指标统计窗口分钟1-60默认5 - `METRICS_WINDOW`: 实时指标统计窗口分钟1-60默认5
- `MAX_API_KEYS_PER_USER`: 每用户最大API Key数量默认1 - `MAX_API_KEYS_PER_USER`: 每用户最大API Key数量默认1
- `ALLOW_USER_DELETE_API_KEYS`: 允许用户删除自己的API Keys默认false - `ALLOW_USER_DELETE_API_KEYS`: 允许用户删除自己的API Keys默认false
- `DEBUG_HTTP_TRAFFIC`: 启用HTTP请求/响应调试日志默认false仅开发环境 - `DEBUG_HTTP_TRAFFIC`: 启用HTTP请求/响应调试日志默认false仅开发环境
- `PROXY_USE_IPV4`: 代理使用IPv4默认true - `PROXY_USE_IPV4`: 代理使用IPv4默认true
- `REQUEST_TIMEOUT`: 请求超时时间毫秒默认600000即10分钟 - `REQUEST_TIMEOUT`: 请求超时时间毫秒默认600000即10分钟
- `CLEAR_CONCURRENCY_QUEUES_ON_STARTUP`: 启动时清理残留的并发排队计数器默认true多实例部署时建议设为false
#### AWS Bedrock配置可选 #### AWS Bedrock配置可选
- `CLAUDE_CODE_USE_BEDROCK`: 启用Bedrock设置为1启用 - `CLAUDE_CODE_USE_BEDROCK`: 启用Bedrock设置为1启用
@@ -337,6 +344,35 @@ npm run setup # 自动生成密钥并创建管理员账户
11. **速率限制未清理**: rateLimitCleanupService每5分钟自动清理过期限流状态 11. **速率限制未清理**: rateLimitCleanupService每5分钟自动清理过期限流状态
12. **成本统计不准确**: 运行 `npm run init:costs` 初始化成本数据检查pricingService是否正确加载模型价格 12. **成本统计不准确**: 运行 `npm run init:costs` 初始化成本数据检查pricingService是否正确加载模型价格
13. **缓存命中率低**: 查看缓存监控统计调整LRU缓存大小配置 13. **缓存命中率低**: 查看缓存监控统计调整LRU缓存大小配置
14. **用户消息队列超时**: 优化后锁持有时间已从分钟级降到毫秒级(请求发送后立即释放),默认 `USER_MESSAGE_QUEUE_TIMEOUT_MS=5000` 已足够。如仍有超时,检查网络延迟或禁用此功能(`USER_MESSAGE_QUEUE_ENABLED=false`
15. **并发请求排队问题**:
- 排队超时:检查 `concurrentRequestQueueTimeoutMs` 配置是否合理默认10秒
- 排队数过多:调整 `concurrentRequestQueueMaxSize` 和 `concurrentRequestQueueMaxSizeMultiplier`
- 查看排队统计:访问 `/admin/concurrency-queue/stats` 接口查看 entered/success/timeout/cancelled/socket_changed/rejected_overload 统计
- 排队计数泄漏:系统重启时自动清理,或访问 `/admin/concurrency-queue` DELETE 接口手动清理
- Socket 身份验证失败:查看 `socket_changed` 统计,如果频繁发生,检查代理配置或客户端连接稳定性
- 健康检查拒绝:查看 `rejected_overload` 统计,表示队列过载时的快速失败次数
### 代理配置要求(并发请求排队)
使用并发请求排队功能时,需要正确配置代理(如 Nginx的超时参数
- **推荐配置**: `proxy_read_timeout >= max(2 × concurrentRequestQueueTimeoutMs, 60s)`
- 当前默认排队超时 10 秒Nginx 默认 `proxy_read_timeout = 60s` 已满足要求
- 如果调整排队超时到 60 秒,推荐代理超时 ≥ 120 秒
- **Nginx 配置示例**:
```nginx
location /api/ {
proxy_read_timeout 120s; # 排队超时 60s 时推荐 120s
proxy_connect_timeout 10s;
# ...其他配置
}
```
- **企业防火墙环境**:
- 某些企业防火墙可能静默关闭长时间无数据的连接20-40 秒)
- 如遇此问题,联系网络管理员调整空闲连接超时策略
- 或降低 `concurrentRequestQueueTimeoutMs` 配置
- **后续升级说明**: 如有需要,后续版本可能提供可选的轻量级心跳机制
### 调试工具 ### 调试工具
@@ -449,6 +485,15 @@ npm run setup # 自动生成密钥并创建管理员账户
- **缓存优化**: 多层LRU缓存解密缓存、账户缓存全局缓存监控和统计 - **缓存优化**: 多层LRU缓存解密缓存、账户缓存全局缓存监控和统计
- **成本追踪**: 实时token使用统计input/output/cache_create/cache_read和成本计算基于pricingService - **成本追踪**: 实时token使用统计input/output/cache_create/cache_read和成本计算基于pricingService
- **并发控制**: Redis Sorted Set实现的并发计数支持自动过期清理 - **并发控制**: Redis Sorted Set实现的并发计数支持自动过期清理
- **并发请求排队**: 当API Key并发超限时请求进入队列等待而非直接返回429
- **工作原理**: 采用「先占后检查」模式,每次轮询尝试占位,超限则释放继续等待
- **指数退避**: 初始200ms指数增长至最大2秒带±20%抖动防惊群效应
- **智能清理**: 排队计数有TTL保护超时+30秒进程崩溃也能自动清理
- **Socket身份验证**: 使用UUID token + socket对象引用双重验证避免HTTP Keep-Alive连接复用导致的身份混淆
- **健康检查**: P90等待时间超过阈值时快速失败返回429避免新请求在过载时继续排队
- **配置参数**: `concurrentRequestQueueEnabled`默认false、`concurrentRequestQueueMaxSize`默认3、`concurrentRequestQueueMaxSizeMultiplier`默认0、`concurrentRequestQueueTimeoutMs`默认10秒、`concurrentRequestQueueMaxRedisFailCount`默认5、`concurrentRequestQueueHealthCheckEnabled`默认true、`concurrentRequestQueueHealthThreshold`默认0.8
- **最大排队数**: max(固定值, 并发限制×倍数),例如并发限制=10、倍数=2时最大排队数=20
- **适用场景**: Claude Code Agent并行工具调用、批量请求处理
- **客户端识别**: 基于User-Agent的客户端限制支持预定义客户端ClaudeCode、Gemini-CLI等 - **客户端识别**: 基于User-Agent的客户端限制支持预定义客户端ClaudeCode、Gemini-CLI等
- **错误处理**: 529错误自动标记账户过载状态配置时长内自动排除该账户 - **错误处理**: 529错误自动标记账户过载状态配置时长内自动排除该账户
@@ -508,8 +553,16 @@ npm run setup # 自动生成密钥并创建管理员账户
- `overload:{accountId}` - 账户过载状态529错误 - `overload:{accountId}` - 账户过载状态529错误
- **并发控制**: - **并发控制**:
- `concurrency:{accountId}` - Redis Sorted Set实现的并发计数 - `concurrency:{accountId}` - Redis Sorted Set实现的并发计数
- **并发请求排队**:
- `concurrency:queue:{apiKeyId}` - API Key级别的排队计数器TTL由 `concurrentRequestQueueTimeoutMs` + 30秒缓冲决定
- `concurrency:queue:stats:{apiKeyId}` - 排队统计entered/success/timeout/cancelled
- `concurrency:queue:wait_times:{apiKeyId}` - 按API Key的等待时间记录用于P50/P90/P99计算
- `concurrency:queue:wait_times:global` - 全局等待时间记录
- **Webhook配置**: - **Webhook配置**:
- `webhook_config:{id}` - Webhook配置 - `webhook_config:{id}` - Webhook配置
- **用户消息队列**:
- `user_msg_queue_lock:{accountId}` - 用户消息队列锁当前持有者requestId
- `user_msg_queue_last:{accountId}` - 上次请求完成时间戳(用于延迟计算)
- **系统信息**: - **系统信息**:
- `system_info` - 系统状态缓存 - `system_info` - 系统状态缓存
- `model_pricing` - 模型价格数据pricingService - `model_pricing` - 模型价格数据pricingService

View File

@@ -1 +1 @@
1.1.225 1.1.234

View File

@@ -203,6 +203,15 @@ const config = {
development: { development: {
debug: process.env.DEBUG === 'true', debug: process.env.DEBUG === 'true',
hotReload: process.env.HOT_RELOAD === 'true' hotReload: process.env.HOT_RELOAD === 'true'
},
// 📬 用户消息队列配置
// 优化说明:锁在请求发送成功后立即释放(而非请求完成后),因为 Claude API 限流基于请求发送时刻计算
userMessageQueue: {
enabled: process.env.USER_MESSAGE_QUEUE_ENABLED === 'true', // 默认关闭
delayMs: parseInt(process.env.USER_MESSAGE_QUEUE_DELAY_MS) || 200, // 请求间隔(毫秒)
timeoutMs: parseInt(process.env.USER_MESSAGE_QUEUE_TIMEOUT_MS) || 5000, // 队列等待超时(毫秒),锁持有时间短,无需长等待
lockTtlMs: parseInt(process.env.USER_MESSAGE_QUEUE_LOCK_TTL_MS) || 5000 // 锁TTL毫秒5秒足以覆盖请求发送
} }
} }

View File

@@ -21,6 +21,9 @@ services:
- PORT=3000 - PORT=3000
- HOST=0.0.0.0 - HOST=0.0.0.0
# 🔧 请求体大小配置
- REQUEST_MAX_SIZE_MB=60
# 🔐 安全配置(必填) # 🔐 安全配置(必填)
- JWT_SECRET=${JWT_SECRET} # 必填至少32字符的随机字符串 - JWT_SECRET=${JWT_SECRET} # 必填至少32字符的随机字符串
- ENCRYPTION_KEY=${ENCRYPTION_KEY} # 必填32字符的加密密钥 - ENCRYPTION_KEY=${ENCRYPTION_KEY} # 必填32字符的加密密钥

View File

@@ -584,6 +584,20 @@ class Application {
// 使用 Lua 脚本批量清理所有过期项 // 使用 Lua 脚本批量清理所有过期项
for (const key of keys) { for (const key of keys) {
// 跳过非 Sorted Set 类型的键(这些键有各自的清理逻辑)
// - concurrency:queue:stats:* 是 Hash 类型
// - concurrency:queue:wait_times:* 是 List 类型
// - concurrency:queue:* (不含stats/wait_times) 是 String 类型
if (
key.startsWith('concurrency:queue:stats:') ||
key.startsWith('concurrency:queue:wait_times:') ||
(key.startsWith('concurrency:queue:') &&
!key.includes(':stats:') &&
!key.includes(':wait_times:'))
) {
continue
}
try { try {
const cleaned = await redis.client.eval( const cleaned = await redis.client.eval(
` `
@@ -625,6 +639,28 @@ class Application {
}, 60000) // 每分钟执行一次 }, 60000) // 每分钟执行一次
logger.info('🔢 Concurrency cleanup task started (running every 1 minute)') logger.info('🔢 Concurrency cleanup task started (running every 1 minute)')
// 📬 启动用户消息队列服务
const userMessageQueueService = require('./services/userMessageQueueService')
// 先清理服务重启后残留的锁,防止旧锁阻塞新请求
userMessageQueueService.cleanupStaleLocks().then(() => {
// 然后启动定时清理任务
userMessageQueueService.startCleanupTask()
})
// 🚦 清理服务重启后残留的并发排队计数器
// 多实例部署时建议关闭此开关,避免新实例启动时清空其他实例的队列计数
// 可通过 DELETE /admin/concurrency/queue 接口手动清理
const clearQueuesOnStartup = process.env.CLEAR_CONCURRENCY_QUEUES_ON_STARTUP !== 'false'
if (clearQueuesOnStartup) {
redis.clearAllConcurrencyQueues().catch((error) => {
logger.error('❌ Error clearing concurrency queues on startup:', error)
})
} else {
logger.info(
'🚦 Skipping concurrency queue cleanup on startup (CLEAR_CONCURRENCY_QUEUES_ON_STARTUP=false)'
)
}
} }
setupGracefulShutdown() { setupGracefulShutdown() {
@@ -661,6 +697,15 @@ class Application {
logger.error('❌ Error stopping rate limit cleanup service:', error) logger.error('❌ Error stopping rate limit cleanup service:', error)
} }
// 停止用户消息队列清理服务
try {
const userMessageQueueService = require('./services/userMessageQueueService')
userMessageQueueService.stopCleanupTask()
logger.info('📬 User message queue service stopped')
} catch (error) {
logger.error('❌ Error stopping user message queue service:', error)
}
// 停止费用排序索引服务 // 停止费用排序索引服务
try { try {
const costRankService = require('./services/costRankService') const costRankService = require('./services/costRankService')

View File

@@ -6,6 +6,104 @@ const logger = require('../utils/logger')
const redis = require('../models/redis') const redis = require('../models/redis')
// const { RateLimiterRedis } = require('rate-limiter-flexible') // 暂时未使用 // const { RateLimiterRedis } = require('rate-limiter-flexible') // 暂时未使用
const ClientValidator = require('../validators/clientValidator') const ClientValidator = require('../validators/clientValidator')
const ClaudeCodeValidator = require('../validators/clients/claudeCodeValidator')
const claudeRelayConfigService = require('../services/claudeRelayConfigService')
const { calculateWaitTimeStats } = require('../utils/statsHelper')
// 工具函数
function sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms))
}
/**
* 检查排队是否过载,决定是否应该快速失败
* 详见 design.md Decision 7: 排队健康检查与快速失败
*
* @param {string} apiKeyId - API Key ID
* @param {number} timeoutMs - 排队超时时间(毫秒)
* @param {Object} queueConfig - 队列配置
* @param {number} maxQueueSize - 最大排队数
* @returns {Promise<Object>} { reject: boolean, reason?: string, estimatedWaitMs?: number, timeoutMs?: number }
*/
async function shouldRejectDueToOverload(apiKeyId, timeoutMs, queueConfig, maxQueueSize) {
try {
// 如果健康检查被禁用,直接返回不拒绝
if (!queueConfig.concurrentRequestQueueHealthCheckEnabled) {
return { reject: false, reason: 'health_check_disabled' }
}
// 🔑 先检查当前队列长度
const currentQueueCount = await redis.getConcurrencyQueueCount(apiKeyId).catch(() => 0)
// 队列为空,说明系统已恢复,跳过健康检查
if (currentQueueCount === 0) {
return { reject: false, reason: 'queue_empty', currentQueueCount: 0 }
}
// 🔑 关键改进:只有当队列接近满载时才进行健康检查
// 队列长度 <= maxQueueSize * 0.5 时,认为系统有足够余量,跳过健康检查
// 这避免了在队列较短时过于保守地拒绝请求
// 使用 ceil 确保小队列(如 maxQueueSize=3时阈值为 2即队列 <=1 时跳过
const queueLoadThreshold = Math.ceil(maxQueueSize * 0.5)
if (currentQueueCount <= queueLoadThreshold) {
return {
reject: false,
reason: 'queue_not_loaded',
currentQueueCount,
queueLoadThreshold,
maxQueueSize
}
}
// 获取该 API Key 的等待时间样本
const waitTimes = await redis.getQueueWaitTimes(apiKeyId)
const stats = calculateWaitTimeStats(waitTimes)
// 样本不足(< 10跳过健康检查避免冷启动误判
if (!stats || stats.sampleCount < 10) {
return { reject: false, reason: 'insufficient_samples', sampleCount: stats?.sampleCount || 0 }
}
// P90 不可靠时也跳过(虽然 sampleCount >= 10 时 p90Unreliable 应该是 false
if (stats.p90Unreliable) {
return { reject: false, reason: 'p90_unreliable', sampleCount: stats.sampleCount }
}
// 计算健康阈值P90 >= 超时时间 × 阈值 时拒绝
const threshold = queueConfig.concurrentRequestQueueHealthThreshold || 0.8
const maxAllowedP90 = timeoutMs * threshold
if (stats.p90 >= maxAllowedP90) {
return {
reject: true,
reason: 'queue_overloaded',
estimatedWaitMs: stats.p90,
timeoutMs,
threshold,
sampleCount: stats.sampleCount,
currentQueueCount,
maxQueueSize
}
}
return { reject: false, p90: stats.p90, sampleCount: stats.sampleCount, currentQueueCount }
} catch (error) {
// 健康检查出错时不阻塞请求,记录警告并继续
logger.warn(`Health check failed for ${apiKeyId}:`, error.message)
return { reject: false, reason: 'health_check_error', error: error.message }
}
}
// 排队轮询配置常量(可通过配置文件覆盖)
// 性能权衡:初始间隔越短响应越快,但 Redis QPS 越高
// 当前配置100 个等待者时约 250-300 QPS指数退避后
const QUEUE_POLLING_CONFIG = {
pollIntervalMs: 200, // 初始轮询间隔(毫秒)- 平衡响应速度和 Redis 压力
maxPollIntervalMs: 2000, // 最大轮询间隔(毫秒)- 长时间等待时降低 Redis 压力
backoffFactor: 1.5, // 指数退避系数
jitterRatio: 0.2, // 抖动比例±20%- 防止惊群效应
maxRedisFailCount: 5 // 连续 Redis 失败阈值(从 3 提高到 5提高网络抖动容忍度
}
const FALLBACK_CONCURRENCY_CONFIG = { const FALLBACK_CONCURRENCY_CONFIG = {
leaseSeconds: 300, leaseSeconds: 300,
@@ -126,9 +224,223 @@ function isTokenCountRequest(req) {
return false return false
} }
/**
* 等待并发槽位(排队机制核心)
*
* 采用「先占后检查」模式避免竞态条件:
* - 每次轮询时尝试 incrConcurrency 占位
* - 如果超限则 decrConcurrency 释放并继续等待
* - 成功获取槽位后返回,调用方无需再次 incrConcurrency
*
* ⚠️ 重要清理责任说明:
* - 排队计数:此函数的 finally 块负责调用 decrConcurrencyQueue 清理
* - 并发槽位:当返回 acquired=true 时,槽位已被占用(通过 incrConcurrency
* 调用方必须在请求结束时调用 decrConcurrency 释放槽位
* (已在 authenticateApiKey 的 finally 块中处理)
*
* @param {Object} req - Express 请求对象
* @param {Object} res - Express 响应对象
* @param {string} apiKeyId - API Key ID
* @param {Object} queueOptions - 配置参数
* @returns {Promise<Object>} { acquired: boolean, reason?: string, waitTimeMs: number }
*/
async function waitForConcurrencySlot(req, res, apiKeyId, queueOptions) {
const {
concurrencyLimit,
requestId,
leaseSeconds,
timeoutMs,
pollIntervalMs,
maxPollIntervalMs,
backoffFactor,
jitterRatio,
maxRedisFailCount: configMaxRedisFailCount
} = queueOptions
let clientDisconnected = false
// 追踪轮询过程中是否临时占用了槽位(用于异常时清理)
// 工作流程:
// 1. incrConcurrency 成功且 count <= limit 时,设置 internalSlotAcquired = true
// 2. 统计记录完成后,设置 internalSlotAcquired = false 并返回(所有权转移给调用方)
// 3. 如果在步骤 1-2 之间发生异常finally 块会检测到 internalSlotAcquired = true 并释放槽位
let internalSlotAcquired = false
// 监听客户端断开事件
// ⚠️ 重要:必须监听 socket 的事件,而不是 req 的事件!
// 原因:对于 POST 请求,当 body-parser 读取完请求体后reqIncomingMessage 可读流)
// 的 'close' 事件会立即触发,但这不代表客户端断开连接!客户端仍在等待响应。
// socket 的 'close' 事件才是真正的连接关闭信号。
const { socket } = req
const onSocketClose = () => {
clientDisconnected = true
logger.debug(
`🔌 [Queue] Socket closed during queue wait for API key ${apiKeyId}, requestId: ${requestId}`
)
}
if (socket) {
socket.once('close', onSocketClose)
}
// 检查 socket 是否在监听器注册前已被销毁(边界情况)
if (socket?.destroyed) {
clientDisconnected = true
}
const startTime = Date.now()
let pollInterval = pollIntervalMs
let redisFailCount = 0
// 优先使用配置中的值,否则使用默认值
const maxRedisFailCount = configMaxRedisFailCount || QUEUE_POLLING_CONFIG.maxRedisFailCount
try {
while (Date.now() - startTime < timeoutMs) {
// 检测客户端是否断开(双重检查:事件标记 + socket 状态)
// socket.destroyed 是同步检查,确保即使事件处理有延迟也能及时检测
if (clientDisconnected || socket?.destroyed) {
redis
.incrConcurrencyQueueStats(apiKeyId, 'cancelled')
.catch((e) => logger.warn('Failed to record cancelled stat:', e))
return {
acquired: false,
reason: 'client_disconnected',
waitTimeMs: Date.now() - startTime
}
}
// 尝试获取槽位(先占后检查)
try {
const count = await redis.incrConcurrency(apiKeyId, requestId, leaseSeconds)
redisFailCount = 0 // 重置失败计数
if (count <= concurrencyLimit) {
// 成功获取槽位!
const waitTimeMs = Date.now() - startTime
// 槽位所有权转移说明:
// 1. 此时槽位已通过 incrConcurrency 获取
// 2. 先标记 internalSlotAcquired = true确保异常时 finally 块能清理
// 3. 统计操作完成后,清除标记并返回,所有权转移给调用方
// 4. 调用方authenticateApiKey负责在请求结束时释放槽位
// 标记槽位已获取(用于异常时 finally 块清理)
internalSlotAcquired = true
// 记录统计非阻塞fire-and-forget 模式)
// ⚠️ 设计说明:
// - 故意不 await 这些 Promise因为统计记录不应阻塞请求处理
// - 每个 Promise 都有独立的 .catch(),确保单个失败不影响其他
// - 外层 .catch() 是防御性措施,处理 Promise.all 本身的异常
// - 即使统计记录在函数返回后才完成/失败,也是安全的(仅日志记录)
// - 统计数据丢失可接受,不影响核心业务逻辑
Promise.all([
redis
.recordQueueWaitTime(apiKeyId, waitTimeMs)
.catch((e) => logger.warn('Failed to record queue wait time:', e)),
redis
.recordGlobalQueueWaitTime(waitTimeMs)
.catch((e) => logger.warn('Failed to record global wait time:', e)),
redis
.incrConcurrencyQueueStats(apiKeyId, 'success')
.catch((e) => logger.warn('Failed to increment success stats:', e))
]).catch((e) => logger.warn('Failed to record queue stats batch:', e))
// 成功返回前清除标记(所有权转移给调用方,由其负责释放)
internalSlotAcquired = false
return { acquired: true, waitTimeMs }
}
// 超限,释放槽位继续等待
try {
await redis.decrConcurrency(apiKeyId, requestId)
} catch (decrError) {
// 释放失败时记录警告但继续轮询
// 下次 incrConcurrency 会自然覆盖同一 requestId 的条目
logger.warn(
`Failed to release slot during polling for ${apiKeyId}, will retry:`,
decrError
)
}
} catch (redisError) {
redisFailCount++
logger.error(
`Redis error in queue polling (${redisFailCount}/${maxRedisFailCount}):`,
redisError
)
if (redisFailCount >= maxRedisFailCount) {
// 连续 Redis 失败,放弃排队
return {
acquired: false,
reason: 'redis_error',
waitTimeMs: Date.now() - startTime
}
}
}
// 指数退避等待
await sleep(pollInterval)
// 计算下一次轮询间隔(指数退避 + 抖动)
// 1. 先应用指数退避
let nextInterval = pollInterval * backoffFactor
// 2. 添加抖动防止惊群效应±jitterRatio 范围内的随机偏移)
// 抖动范围:[-jitterRatio, +jitterRatio],例如 jitterRatio=0.2 时为 ±20%
// 这是预期行为:负抖动可使间隔略微缩短,正抖动可使间隔略微延长
// 目的是分散多个等待者的轮询时间点,避免同时请求 Redis
const jitter = nextInterval * jitterRatio * (Math.random() * 2 - 1)
nextInterval = nextInterval + jitter
// 3. 确保在合理范围内:最小 1ms最大 maxPollIntervalMs
// Math.max(1, ...) 保证即使负抖动也不会产生 ≤0 的间隔
pollInterval = Math.max(1, Math.min(nextInterval, maxPollIntervalMs))
}
// 超时
redis
.incrConcurrencyQueueStats(apiKeyId, 'timeout')
.catch((e) => logger.warn('Failed to record timeout stat:', e))
return { acquired: false, reason: 'timeout', waitTimeMs: Date.now() - startTime }
} finally {
// 确保清理:
// 1. 减少排队计数(排队计数在调用方已增加,这里负责减少)
try {
await redis.decrConcurrencyQueue(apiKeyId)
} catch (cleanupError) {
// 清理失败记录错误(可能导致计数泄漏,但有 TTL 保护)
logger.error(
`Failed to decrement queue count in finally block for ${apiKeyId}:`,
cleanupError
)
}
// 2. 如果内部获取了槽位但未正常返回(异常路径),释放槽位
if (internalSlotAcquired) {
try {
await redis.decrConcurrency(apiKeyId, requestId)
logger.warn(
`⚠️ Released orphaned concurrency slot in finally block for ${apiKeyId}, requestId: ${requestId}`
)
} catch (slotCleanupError) {
logger.error(
`Failed to release orphaned concurrency slot for ${apiKeyId}:`,
slotCleanupError
)
}
}
// 清理 socket 事件监听器
if (socket) {
socket.removeListener('close', onSocketClose)
}
}
}
// 🔑 API Key验证中间件优化版 // 🔑 API Key验证中间件优化版
const authenticateApiKey = async (req, res, next) => { const authenticateApiKey = async (req, res, next) => {
const startTime = Date.now() const startTime = Date.now()
let authErrored = false
let concurrencyCleanup = null
let hasConcurrencySlot = false
try { try {
// 安全提取API Key支持多种格式包括Gemini CLI支持 // 安全提取API Key支持多种格式包括Gemini CLI支持
@@ -201,6 +513,53 @@ const authenticateApiKey = async (req, res, next) => {
) )
} }
// 🔒 检查全局 Claude Code 限制(与 API Key 级别是 OR 逻辑)
// 仅对 Claude 服务端点生效 (/api/v1/messages 和 /claude/v1/messages)
if (!skipKeyRestrictions) {
const normalizedPath = (req.originalUrl || req.path || '').toLowerCase()
const isClaudeMessagesEndpoint =
normalizedPath.includes('/v1/messages') &&
(normalizedPath.startsWith('/api') || normalizedPath.startsWith('/claude'))
if (isClaudeMessagesEndpoint) {
try {
const globalClaudeCodeOnly = await claudeRelayConfigService.isClaudeCodeOnlyEnabled()
// API Key 级别的 Claude Code 限制
const keyClaudeCodeOnly =
validation.keyData.enableClientRestriction &&
Array.isArray(validation.keyData.allowedClients) &&
validation.keyData.allowedClients.length === 1 &&
validation.keyData.allowedClients.includes('claude_code')
// OR 逻辑:全局开启 或 API Key 级别限制为仅 claude_code
if (globalClaudeCodeOnly || keyClaudeCodeOnly) {
const isClaudeCode = ClaudeCodeValidator.validate(req)
if (!isClaudeCode) {
const clientIP = req.ip || req.connection?.remoteAddress || 'unknown'
logger.api(
`❌ Claude Code client validation failed (global: ${globalClaudeCodeOnly}, key: ${keyClaudeCodeOnly}) from ${clientIP}`
)
return res.status(403).json({
error: {
type: 'client_validation_error',
message: 'This endpoint only accepts requests from Claude Code CLI'
}
})
}
logger.api(
`✅ Claude Code client validated (global: ${globalClaudeCodeOnly}, key: ${keyClaudeCodeOnly})`
)
}
} catch (error) {
logger.error('❌ Error checking Claude Code restriction:', error)
// 配置服务出错时不阻断请求
}
}
}
// 检查并发限制 // 检查并发限制
const concurrencyLimit = validation.keyData.concurrencyLimit || 0 const concurrencyLimit = validation.keyData.concurrencyLimit || 0
if (!skipKeyRestrictions && concurrencyLimit > 0) { if (!skipKeyRestrictions && concurrencyLimit > 0) {
@@ -216,33 +575,86 @@ const authenticateApiKey = async (req, res, next) => {
} }
const requestId = uuidv4() const requestId = uuidv4()
// ⚠️ 优化后的 Connection: close 设置策略
// 问题背景HTTP Keep-Alive 使多个请求共用同一个 TCP 连接
// 当第一个请求正在处理,第二个请求进入排队时,它们共用同一个 socket
// 如果客户端超时关闭连接,两个请求都会受影响
// 优化方案:只有在请求实际进入排队时才设置 Connection: close
// 未排队的请求保持 Keep-Alive避免不必要的 TCP 握手开销
// 详见 design.md Decision 2: Connection: close 设置时机
// 注意Connection: close 将在下方代码实际进入排队时设置(第 637 行左右)
// ============================================================
// 🔒 并发槽位状态管理说明
// ============================================================
// 此函数中有两个关键状态变量:
// - hasConcurrencySlot: 当前是否持有并发槽位
// - concurrencyCleanup: 错误时调用的清理函数
//
// 状态转换流程:
// 1. incrConcurrency 成功 → hasConcurrencySlot=true, 设置临时清理函数
// 2. 若超限 → 释放槽位hasConcurrencySlot=false, concurrencyCleanup=null
// 3. 若排队成功 → hasConcurrencySlot=true, 升级为完整清理函数(含 interval 清理)
// 4. 请求结束res.close/req.close→ 调用 decrementConcurrency 释放
// 5. 认证错误 → finally 块调用 concurrencyCleanup 释放
//
// 为什么需要两种清理函数?
// - 临时清理:在排队/认证过程中出错时使用,只释放槽位
// - 完整清理:请求正常开始后使用,还需清理 leaseRenewInterval
// ============================================================
const setTemporaryConcurrencyCleanup = () => {
concurrencyCleanup = async () => {
if (!hasConcurrencySlot) {
return
}
hasConcurrencySlot = false
try {
await redis.decrConcurrency(validation.keyData.id, requestId)
} catch (cleanupError) {
logger.error(
`Failed to decrement concurrency after auth error for key ${validation.keyData.id}:`,
cleanupError
)
}
}
}
const currentConcurrency = await redis.incrConcurrency( const currentConcurrency = await redis.incrConcurrency(
validation.keyData.id, validation.keyData.id,
requestId, requestId,
leaseSeconds leaseSeconds
) )
hasConcurrencySlot = true
setTemporaryConcurrencyCleanup()
logger.api( logger.api(
`📈 Incremented concurrency for key: ${validation.keyData.id} (${validation.keyData.name}), current: ${currentConcurrency}, limit: ${concurrencyLimit}` `📈 Incremented concurrency for key: ${validation.keyData.id} (${validation.keyData.name}), current: ${currentConcurrency}, limit: ${concurrencyLimit}`
) )
if (currentConcurrency > concurrencyLimit) { if (currentConcurrency > concurrencyLimit) {
// 如果超过限制,立即减少计数(添加 try-catch 防止异常导致并发泄漏) // 1. 先释放刚占用的槽位
try { try {
const newCount = await redis.decrConcurrency(validation.keyData.id, requestId) await redis.decrConcurrency(validation.keyData.id, requestId)
logger.api(
`📉 Decremented concurrency (429 rejected) for key: ${validation.keyData.id} (${validation.keyData.name}), new count: ${newCount}`
)
} catch (error) { } catch (error) {
logger.error( logger.error(
`Failed to decrement concurrency after limit exceeded for key ${validation.keyData.id}:`, `Failed to decrement concurrency after limit exceeded for key ${validation.keyData.id}:`,
error error
) )
} }
hasConcurrencySlot = false
concurrencyCleanup = null
// 2. 获取排队配置
const queueConfig = await claudeRelayConfigService.getConfig()
// 3. 排队功能未启用,直接返回 429保持现有行为
if (!queueConfig.concurrentRequestQueueEnabled) {
logger.security( logger.security(
`🚦 Concurrency limit exceeded for key: ${validation.keyData.id} (${ `🚦 Concurrency limit exceeded for key: ${validation.keyData.id} (${
validation.keyData.name validation.keyData.name
}), current: ${currentConcurrency - 1}, limit: ${concurrencyLimit}` }), current: ${currentConcurrency - 1}, limit: ${concurrencyLimit}`
) )
// 建议客户端在短暂延迟后重试(并发场景下通常很快会有槽位释放)
res.set('Retry-After', '1')
return res.status(429).json({ return res.status(429).json({
error: 'Concurrency limit exceeded', error: 'Concurrency limit exceeded',
message: `Too many concurrent requests. Limit: ${concurrencyLimit} concurrent requests`, message: `Too many concurrent requests. Limit: ${concurrencyLimit} concurrent requests`,
@@ -251,6 +663,260 @@ const authenticateApiKey = async (req, res, next) => {
}) })
} }
// 4. 计算最大排队数
const maxQueueSize = Math.max(
concurrencyLimit * queueConfig.concurrentRequestQueueMaxSizeMultiplier,
queueConfig.concurrentRequestQueueMaxSize
)
// 4.5 排队健康检查:过载时快速失败
// 详见 design.md Decision 7: 排队健康检查与快速失败
const overloadCheck = await shouldRejectDueToOverload(
validation.keyData.id,
queueConfig.concurrentRequestQueueTimeoutMs,
queueConfig,
maxQueueSize
)
if (overloadCheck.reject) {
// 使用健康检查返回的当前排队数,避免重复调用 Redis
const currentQueueCount = overloadCheck.currentQueueCount || 0
logger.api(
`🚨 Queue overloaded for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`P90=${overloadCheck.estimatedWaitMs}ms, timeout=${overloadCheck.timeoutMs}ms, ` +
`threshold=${overloadCheck.threshold}, samples=${overloadCheck.sampleCount}, ` +
`concurrency=${concurrencyLimit}, queue=${currentQueueCount}/${maxQueueSize}`
)
// 记录被拒绝的过载统计
redis
.incrConcurrencyQueueStats(validation.keyData.id, 'rejected_overload')
.catch((e) => logger.warn('Failed to record rejected_overload stat:', e))
// 返回 429 + Retry-After让客户端稍后重试
const retryAfterSeconds = 30
res.set('Retry-After', String(retryAfterSeconds))
return res.status(429).json({
error: 'Queue overloaded',
message: `Queue is overloaded. Estimated wait time (${overloadCheck.estimatedWaitMs}ms) exceeds threshold. Limit: ${concurrencyLimit} concurrent requests, queue: ${currentQueueCount}/${maxQueueSize}. Please retry later.`,
currentConcurrency: concurrencyLimit,
concurrencyLimit,
queueCount: currentQueueCount,
maxQueueSize,
estimatedWaitMs: overloadCheck.estimatedWaitMs,
timeoutMs: overloadCheck.timeoutMs,
queueTimeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
retryAfterSeconds
})
}
// 5. 尝试进入排队(原子操作:先增加再检查,避免竞态条件)
let queueIncremented = false
try {
const newQueueCount = await redis.incrConcurrencyQueue(
validation.keyData.id,
queueConfig.concurrentRequestQueueTimeoutMs
)
queueIncremented = true
if (newQueueCount > maxQueueSize) {
// 超过最大排队数,立即释放并返回 429
await redis.decrConcurrencyQueue(validation.keyData.id)
queueIncremented = false
logger.api(
`🚦 Concurrency queue full for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`queue: ${newQueueCount - 1}, maxQueue: ${maxQueueSize}`
)
// 队列已满,建议客户端在排队超时时间后重试
const retryAfterSeconds = Math.ceil(queueConfig.concurrentRequestQueueTimeoutMs / 1000)
res.set('Retry-After', String(retryAfterSeconds))
return res.status(429).json({
error: 'Concurrency queue full',
message: `Too many requests waiting in queue. Limit: ${concurrencyLimit} concurrent requests, queue: ${newQueueCount - 1}/${maxQueueSize}, timeout: ${retryAfterSeconds}s`,
currentConcurrency: concurrencyLimit,
concurrencyLimit,
queueCount: newQueueCount - 1,
maxQueueSize,
queueTimeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
retryAfterSeconds
})
}
// 6. 已成功进入排队,记录统计并开始等待槽位
logger.api(
`⏳ Request entering queue for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`queue position: ${newQueueCount}`
)
redis
.incrConcurrencyQueueStats(validation.keyData.id, 'entered')
.catch((e) => logger.warn('Failed to record entered stat:', e))
// ⚠️ 仅在请求实际进入排队时设置 Connection: close
// 详见 design.md Decision 2: Connection: close 设置时机
// 未排队的请求保持 Keep-Alive避免不必要的 TCP 握手开销
if (!res.headersSent) {
res.setHeader('Connection', 'close')
logger.api(
`🔌 [Queue] Set Connection: close for queued request, key: ${validation.keyData.id}`
)
}
// ⚠️ 记录排队开始时的 socket 标识,用于排队完成后验证
// 问题背景HTTP Keep-Alive 连接复用时,长时间排队可能导致 socket 被其他请求使用
// 验证方法:使用 UUID token + socket 对象引用双重验证
// 详见 design.md Decision 1: Socket 身份验证机制
req._crService = req._crService || {}
req._crService.queueToken = uuidv4()
req._crService.originalSocket = req.socket
req._crService.startTime = Date.now()
const savedToken = req._crService.queueToken
const savedSocket = req._crService.originalSocket
// ⚠️ 重要:在调用前将 queueIncremented 设为 false
// 因为 waitForConcurrencySlot 的 finally 块会负责清理排队计数
// 如果在调用后设置,当 waitForConcurrencySlot 抛出异常时
// 外层 catch 块会重复减少计数finally 已经减过一次)
queueIncremented = false
const slot = await waitForConcurrencySlot(req, res, validation.keyData.id, {
concurrencyLimit,
requestId,
leaseSeconds,
timeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
pollIntervalMs: QUEUE_POLLING_CONFIG.pollIntervalMs,
maxPollIntervalMs: QUEUE_POLLING_CONFIG.maxPollIntervalMs,
backoffFactor: QUEUE_POLLING_CONFIG.backoffFactor,
jitterRatio: QUEUE_POLLING_CONFIG.jitterRatio,
maxRedisFailCount: queueConfig.concurrentRequestQueueMaxRedisFailCount
})
// 7. 处理排队结果
if (!slot.acquired) {
if (slot.reason === 'client_disconnected') {
// 客户端已断开,不返回响应(连接已关闭)
logger.api(
`🔌 Client disconnected while queuing for key: ${validation.keyData.id} (${validation.keyData.name})`
)
return
}
if (slot.reason === 'redis_error') {
// Redis 连续失败,返回 503
logger.error(
`❌ Redis error during queue wait for key: ${validation.keyData.id} (${validation.keyData.name})`
)
return res.status(503).json({
error: 'Service temporarily unavailable',
message: 'Failed to acquire concurrency slot due to internal error'
})
}
// 排队超时(使用 api 级别,与其他排队日志保持一致)
logger.api(
`⏰ Queue timeout for key: ${validation.keyData.id} (${validation.keyData.name}), waited: ${slot.waitTimeMs}ms`
)
// 已等待超时,建议客户端稍后重试
// ⚠️ Retry-After 策略优化:
// - 请求已经等了完整的 timeout 时间,说明系统负载较高
// - 过早重试(如固定 5 秒)会加剧拥塞,导致更多超时
// - 合理策略:使用 timeout 时间的一半作为重试间隔
// - 最小值 5 秒,最大值 30 秒,避免极端情况
const timeoutSeconds = Math.ceil(queueConfig.concurrentRequestQueueTimeoutMs / 1000)
const retryAfterSeconds = Math.max(5, Math.min(30, Math.ceil(timeoutSeconds / 2)))
res.set('Retry-After', String(retryAfterSeconds))
return res.status(429).json({
error: 'Queue timeout',
message: `Request timed out waiting for concurrency slot. Limit: ${concurrencyLimit} concurrent requests, maxQueue: ${maxQueueSize}, Queue timeout: ${timeoutSeconds}s, waited: ${slot.waitTimeMs}ms`,
currentConcurrency: concurrencyLimit,
concurrencyLimit,
maxQueueSize,
queueTimeoutMs: queueConfig.concurrentRequestQueueTimeoutMs,
waitTimeMs: slot.waitTimeMs,
retryAfterSeconds
})
}
// 8. 排队成功slot.acquired 表示已在 waitForConcurrencySlot 中获取到槽位
logger.api(
`✅ Queue wait completed for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`waited: ${slot.waitTimeMs}ms`
)
hasConcurrencySlot = true
setTemporaryConcurrencyCleanup()
// 9. ⚠️ 关键检查:排队等待结束后,验证客户端是否还在等待响应
// 长时间排队后,客户端可能在应用层已放弃(如 Claude Code 的超时机制),
// 但 TCP 连接仍然存活。此时继续处理请求是浪费资源。
// 注意如果发送了心跳headersSent 会是 true但这是正常的
const postQueueSocket = req.socket
// 只检查连接是否真正断开destroyed/writableEnded/socketDestroyed
// headersSent 在心跳场景下是正常的,不应该作为放弃的依据
if (res.destroyed || res.writableEnded || postQueueSocket?.destroyed) {
logger.warn(
`⚠️ Client no longer waiting after queue for key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`waited: ${slot.waitTimeMs}ms | destroyed: ${res.destroyed}, ` +
`writableEnded: ${res.writableEnded}, socketDestroyed: ${postQueueSocket?.destroyed}`
)
// 释放刚获取的槽位
hasConcurrencySlot = false
await redis
.decrConcurrency(validation.keyData.id, requestId)
.catch((e) => logger.error('Failed to release slot after client abandoned:', e))
// 不返回响应(客户端已不在等待)
return
}
// 10. ⚠️ 关键检查:验证 socket 身份是否改变
// HTTP Keep-Alive 连接复用可能导致排队期间 socket 被其他请求使用
// 验证方法UUID token + socket 对象引用双重验证
// 详见 design.md Decision 1: Socket 身份验证机制
const queueData = req._crService
const socketIdentityChanged =
!queueData ||
queueData.queueToken !== savedToken ||
queueData.originalSocket !== savedSocket
if (socketIdentityChanged) {
logger.error(
`❌ [Queue] Socket identity changed during queue wait! ` +
`key: ${validation.keyData.id} (${validation.keyData.name}), ` +
`waited: ${slot.waitTimeMs}ms | ` +
`tokenMatch: ${queueData?.queueToken === savedToken}, ` +
`socketMatch: ${queueData?.originalSocket === savedSocket}`
)
// 释放刚获取的槽位
hasConcurrencySlot = false
await redis
.decrConcurrency(validation.keyData.id, requestId)
.catch((e) => logger.error('Failed to release slot after socket identity change:', e))
// 记录 socket_changed 统计
redis
.incrConcurrencyQueueStats(validation.keyData.id, 'socket_changed')
.catch((e) => logger.warn('Failed to record socket_changed stat:', e))
// 不返回响应socket 已被其他请求使用)
return
}
} catch (queueError) {
// 异常时清理资源,防止泄漏
// 1. 清理排队计数(如果还没被 waitForConcurrencySlot 的 finally 清理)
if (queueIncremented) {
await redis
.decrConcurrencyQueue(validation.keyData.id)
.catch((e) => logger.error('Failed to cleanup queue count after error:', e))
}
// 2. 防御性清理:如果 waitForConcurrencySlot 内部获取了槽位但在返回前异常
// 虽然这种情况极少发生(统计记录的异常会被内部捕获),但为了安全起见
// 尝试释放可能已获取的槽位。decrConcurrency 使用 ZREM即使成员不存在也安全
if (hasConcurrencySlot) {
hasConcurrencySlot = false
await redis
.decrConcurrency(validation.keyData.id, requestId)
.catch((e) =>
logger.error('Failed to cleanup concurrency slot after queue error:', e)
)
}
throw queueError
}
}
const renewIntervalMs = const renewIntervalMs =
renewIntervalSeconds > 0 ? Math.max(renewIntervalSeconds * 1000, 15000) : 0 renewIntervalSeconds > 0 ? Math.max(renewIntervalSeconds * 1000, 15000) : 0
@@ -309,6 +975,7 @@ const authenticateApiKey = async (req, res, next) => {
const decrementConcurrency = async () => { const decrementConcurrency = async () => {
if (!concurrencyDecremented) { if (!concurrencyDecremented) {
concurrencyDecremented = true concurrencyDecremented = true
hasConcurrencySlot = false
if (leaseRenewInterval) { if (leaseRenewInterval) {
clearInterval(leaseRenewInterval) clearInterval(leaseRenewInterval)
leaseRenewInterval = null leaseRenewInterval = null
@@ -323,6 +990,11 @@ const authenticateApiKey = async (req, res, next) => {
} }
} }
} }
// 升级为完整清理函数(包含 leaseRenewInterval 清理逻辑)
// 此时请求已通过认证,后续由 res.close/req.close 事件触发清理
if (hasConcurrencySlot) {
concurrencyCleanup = decrementConcurrency
}
// 监听最可靠的事件(避免重复监听) // 监听最可靠的事件(避免重复监听)
// res.on('close') 是最可靠的,会在连接关闭时触发 // res.on('close') 是最可靠的,会在连接关闭时触发
@@ -648,6 +1320,7 @@ const authenticateApiKey = async (req, res, next) => {
return next() return next()
} catch (error) { } catch (error) {
authErrored = true
const authDuration = Date.now() - startTime const authDuration = Date.now() - startTime
logger.error(`❌ Authentication middleware error (${authDuration}ms):`, { logger.error(`❌ Authentication middleware error (${authDuration}ms):`, {
error: error.message, error: error.message,
@@ -661,6 +1334,14 @@ const authenticateApiKey = async (req, res, next) => {
error: 'Authentication error', error: 'Authentication error',
message: 'Internal server error during authentication' message: 'Internal server error during authentication'
}) })
} finally {
if (authErrored && typeof concurrencyCleanup === 'function') {
try {
await concurrencyCleanup()
} catch (cleanupError) {
logger.error('Failed to cleanup concurrency after auth error:', cleanupError)
}
}
} }
} }
@@ -1339,7 +2020,8 @@ const globalRateLimit = async (req, res, next) =>
// 📊 请求大小限制中间件 // 📊 请求大小限制中间件
const requestSizeLimit = (req, res, next) => { const requestSizeLimit = (req, res, next) => {
const maxSize = 60 * 1024 * 1024 // 60MB const MAX_SIZE_MB = parseInt(process.env.REQUEST_MAX_SIZE_MB || '60', 10)
const maxSize = MAX_SIZE_MB * 1024 * 1024
const contentLength = parseInt(req.headers['content-length'] || '0') const contentLength = parseInt(req.headers['content-length'] || '0')
if (contentLength > maxSize) { if (contentLength > maxSize) {

View File

@@ -50,6 +50,18 @@ function getWeekStringInTimezone(date = new Date()) {
return `${year}-W${String(weekNumber).padStart(2, '0')}` return `${year}-W${String(weekNumber).padStart(2, '0')}`
} }
// 并发队列相关常量
const QUEUE_STATS_TTL_SECONDS = 86400 * 7 // 统计计数保留 7 天
const WAIT_TIME_TTL_SECONDS = 86400 // 等待时间样本保留 1 天(滚动窗口,无需长期保留)
// 等待时间样本数配置(提高统计置信度)
// - 每 API Key 从 100 提高到 500提供更稳定的 P99 估计
// - 全局从 500 提高到 2000支持更高精度的 P99.9 分析
// - 内存开销约 12-20KBRedis quicklist 每元素 1-10 字节),可接受
// 详见 design.md Decision 5: 等待时间统计样本数
const WAIT_TIME_SAMPLES_PER_KEY = 500 // 每个 API Key 保留的等待时间样本数
const WAIT_TIME_SAMPLES_GLOBAL = 2000 // 全局保留的等待时间样本数
const QUEUE_TTL_BUFFER_SECONDS = 30 // 排队计数器TTL缓冲时间
class RedisClient { class RedisClient {
constructor() { constructor() {
this.client = null this.client = null
@@ -2556,4 +2568,593 @@ redisClient.getDateStringInTimezone = getDateStringInTimezone
redisClient.getHourInTimezone = getHourInTimezone redisClient.getHourInTimezone = getHourInTimezone
redisClient.getWeekStringInTimezone = getWeekStringInTimezone redisClient.getWeekStringInTimezone = getWeekStringInTimezone
// ============== 用户消息队列相关方法 ==============
/**
* 尝试获取用户消息队列锁
* 使用 Lua 脚本保证原子性
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID
* @param {number} lockTtlMs - 锁 TTL毫秒
* @param {number} delayMs - 请求间隔(毫秒)
* @returns {Promise<{acquired: boolean, waitMs: number}>}
* - acquired: 是否成功获取锁
* - waitMs: 需要等待的毫秒数(-1表示被占用需等待>=0表示需要延迟的毫秒数
*/
redisClient.acquireUserMessageLock = async function (accountId, requestId, lockTtlMs, delayMs) {
const lockKey = `user_msg_queue_lock:${accountId}`
const lastTimeKey = `user_msg_queue_last:${accountId}`
const script = `
local lockKey = KEYS[1]
local lastTimeKey = KEYS[2]
local requestId = ARGV[1]
local lockTtl = tonumber(ARGV[2])
local delayMs = tonumber(ARGV[3])
-- 检查锁是否空闲
local currentLock = redis.call('GET', lockKey)
if currentLock == false then
-- 检查是否需要延迟
local lastTime = redis.call('GET', lastTimeKey)
local now = redis.call('TIME')
local nowMs = tonumber(now[1]) * 1000 + math.floor(tonumber(now[2]) / 1000)
if lastTime then
local elapsed = nowMs - tonumber(lastTime)
if elapsed < delayMs then
-- 需要等待的毫秒数
return {0, delayMs - elapsed}
end
end
-- 获取锁
redis.call('SET', lockKey, requestId, 'PX', lockTtl)
return {1, 0}
end
-- 锁被占用,返回等待
return {0, -1}
`
try {
const result = await this.client.eval(
script,
2,
lockKey,
lastTimeKey,
requestId,
lockTtlMs,
delayMs
)
return {
acquired: result[0] === 1,
waitMs: result[1]
}
} catch (error) {
logger.error(`Failed to acquire user message lock for account ${accountId}:`, error)
// 返回 redisError 标记,让上层能区分 Redis 故障和正常锁占用
return { acquired: false, waitMs: -1, redisError: true, errorMessage: error.message }
}
}
/**
* 释放用户消息队列锁并记录完成时间
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID
* @returns {Promise<boolean>} 是否成功释放
*/
redisClient.releaseUserMessageLock = async function (accountId, requestId) {
const lockKey = `user_msg_queue_lock:${accountId}`
const lastTimeKey = `user_msg_queue_last:${accountId}`
const script = `
local lockKey = KEYS[1]
local lastTimeKey = KEYS[2]
local requestId = ARGV[1]
-- 验证锁持有者
local currentLock = redis.call('GET', lockKey)
if currentLock == requestId then
-- 记录完成时间
local now = redis.call('TIME')
local nowMs = tonumber(now[1]) * 1000 + math.floor(tonumber(now[2]) / 1000)
redis.call('SET', lastTimeKey, nowMs, 'EX', 60) -- 60秒后过期
-- 删除锁
redis.call('DEL', lockKey)
return 1
end
return 0
`
try {
const result = await this.client.eval(script, 2, lockKey, lastTimeKey, requestId)
return result === 1
} catch (error) {
logger.error(`Failed to release user message lock for account ${accountId}:`, error)
return false
}
}
/**
* 强制释放用户消息队列锁(用于清理孤儿锁)
* @param {string} accountId - 账户ID
* @returns {Promise<boolean>} 是否成功释放
*/
redisClient.forceReleaseUserMessageLock = async function (accountId) {
const lockKey = `user_msg_queue_lock:${accountId}`
try {
await this.client.del(lockKey)
return true
} catch (error) {
logger.error(`Failed to force release user message lock for account ${accountId}:`, error)
return false
}
}
/**
* 获取用户消息队列统计信息(用于调试)
* @param {string} accountId - 账户ID
* @returns {Promise<Object>} 队列统计
*/
redisClient.getUserMessageQueueStats = async function (accountId) {
const lockKey = `user_msg_queue_lock:${accountId}`
const lastTimeKey = `user_msg_queue_last:${accountId}`
try {
const [lockHolder, lastTime, lockTtl] = await Promise.all([
this.client.get(lockKey),
this.client.get(lastTimeKey),
this.client.pttl(lockKey)
])
return {
accountId,
isLocked: !!lockHolder,
lockHolder,
lockTtlMs: lockTtl > 0 ? lockTtl : 0,
lockTtlRaw: lockTtl, // 原始 PTTL 值:>0 有TTL-1 无过期时间,-2 键不存在
lastCompletedAt: lastTime ? new Date(parseInt(lastTime)).toISOString() : null
}
} catch (error) {
logger.error(`Failed to get user message queue stats for account ${accountId}:`, error)
return {
accountId,
isLocked: false,
lockHolder: null,
lockTtlMs: 0,
lockTtlRaw: -2,
lastCompletedAt: null
}
}
}
/**
* 扫描所有用户消息队列锁(用于清理任务)
* @returns {Promise<string[]>} 账户ID列表
*/
redisClient.scanUserMessageQueueLocks = async function () {
const accountIds = []
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000 // 防止无限循环
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'user_msg_queue_lock:*',
'COUNT',
100
)
cursor = newCursor
iterations++
for (const key of keys) {
const accountId = key.replace('user_msg_queue_lock:', '')
accountIds.push(accountId)
}
// 防止无限循环
if (iterations >= MAX_ITERATIONS) {
logger.warn(
`📬 User message queue: SCAN reached max iterations (${MAX_ITERATIONS}), stopping early`,
{ foundLocks: accountIds.length }
)
break
}
} while (cursor !== '0')
if (accountIds.length > 0) {
logger.debug(
`📬 User message queue: scanned ${accountIds.length} lock(s) in ${iterations} iteration(s)`
)
}
return accountIds
} catch (error) {
logger.error('Failed to scan user message queue locks:', error)
return []
}
}
// ============================================
// 🚦 API Key 并发请求排队方法
// ============================================
/**
* 增加排队计数(使用 Lua 脚本确保原子性)
* @param {string} apiKeyId - API Key ID
* @param {number} [timeoutMs=60000] - 排队超时时间(毫秒),用于计算 TTL
* @returns {Promise<number>} 增加后的排队数量
*/
redisClient.incrConcurrencyQueue = async function (apiKeyId, timeoutMs = 60000) {
const key = `concurrency:queue:${apiKeyId}`
try {
// 使用 Lua 脚本确保 INCR 和 EXPIRE 原子执行,防止进程崩溃导致计数器泄漏
// TTL = 超时时间 + 缓冲时间(确保键不会在请求还在等待时过期)
const ttlSeconds = Math.ceil(timeoutMs / 1000) + QUEUE_TTL_BUFFER_SECONDS
const script = `
local count = redis.call('INCR', KEYS[1])
redis.call('EXPIRE', KEYS[1], ARGV[1])
return count
`
const count = await this.client.eval(script, 1, key, String(ttlSeconds))
logger.database(
`🚦 Incremented queue count for key ${apiKeyId}: ${count} (TTL: ${ttlSeconds}s)`
)
return parseInt(count)
} catch (error) {
logger.error(`Failed to increment concurrency queue for ${apiKeyId}:`, error)
throw error
}
}
/**
* 减少排队计数(使用 Lua 脚本确保原子性)
* @param {string} apiKeyId - API Key ID
* @returns {Promise<number>} 减少后的排队数量
*/
redisClient.decrConcurrencyQueue = async function (apiKeyId) {
const key = `concurrency:queue:${apiKeyId}`
try {
// 使用 Lua 脚本确保 DECR 和 DEL 原子执行,防止进程崩溃导致计数器残留
const script = `
local count = redis.call('DECR', KEYS[1])
if count <= 0 then
redis.call('DEL', KEYS[1])
return 0
end
return count
`
const count = await this.client.eval(script, 1, key)
const result = parseInt(count)
if (result === 0) {
logger.database(`🚦 Queue count for key ${apiKeyId} is 0, removed key`)
} else {
logger.database(`🚦 Decremented queue count for key ${apiKeyId}: ${result}`)
}
return result
} catch (error) {
logger.error(`Failed to decrement concurrency queue for ${apiKeyId}:`, error)
throw error
}
}
/**
* 获取排队计数
* @param {string} apiKeyId - API Key ID
* @returns {Promise<number>} 当前排队数量
*/
redisClient.getConcurrencyQueueCount = async function (apiKeyId) {
const key = `concurrency:queue:${apiKeyId}`
try {
const count = await this.client.get(key)
return parseInt(count || 0)
} catch (error) {
logger.error(`Failed to get concurrency queue count for ${apiKeyId}:`, error)
return 0
}
}
/**
* 清空排队计数
* @param {string} apiKeyId - API Key ID
* @returns {Promise<boolean>} 是否成功清空
*/
redisClient.clearConcurrencyQueue = async function (apiKeyId) {
const key = `concurrency:queue:${apiKeyId}`
try {
await this.client.del(key)
logger.database(`🚦 Cleared queue count for key ${apiKeyId}`)
return true
} catch (error) {
logger.error(`Failed to clear concurrency queue for ${apiKeyId}:`, error)
return false
}
}
/**
* 扫描所有排队计数器
* @returns {Promise<string[]>} API Key ID 列表
*/
redisClient.scanConcurrencyQueueKeys = async function () {
const apiKeyIds = []
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'concurrency:queue:*',
'COUNT',
100
)
cursor = newCursor
iterations++
for (const key of keys) {
// 排除统计和等待时间相关的键
if (
key.startsWith('concurrency:queue:stats:') ||
key.startsWith('concurrency:queue:wait_times:')
) {
continue
}
const apiKeyId = key.replace('concurrency:queue:', '')
apiKeyIds.push(apiKeyId)
}
if (iterations >= MAX_ITERATIONS) {
logger.warn(
`🚦 Concurrency queue: SCAN reached max iterations (${MAX_ITERATIONS}), stopping early`,
{ foundQueues: apiKeyIds.length }
)
break
}
} while (cursor !== '0')
return apiKeyIds
} catch (error) {
logger.error('Failed to scan concurrency queue keys:', error)
return []
}
}
/**
* 清理所有排队计数器(用于服务重启)
* @returns {Promise<number>} 清理的计数器数量
*/
redisClient.clearAllConcurrencyQueues = async function () {
let cleared = 0
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'concurrency:queue:*',
'COUNT',
100
)
cursor = newCursor
iterations++
// 只删除排队计数器,保留统计数据
const queueKeys = keys.filter(
(key) =>
!key.startsWith('concurrency:queue:stats:') &&
!key.startsWith('concurrency:queue:wait_times:')
)
if (queueKeys.length > 0) {
await this.client.del(...queueKeys)
cleared += queueKeys.length
}
if (iterations >= MAX_ITERATIONS) {
break
}
} while (cursor !== '0')
if (cleared > 0) {
logger.info(`🚦 Cleared ${cleared} concurrency queue counter(s) on startup`)
}
return cleared
} catch (error) {
logger.error('Failed to clear all concurrency queues:', error)
return 0
}
}
/**
* 增加排队统计计数(使用 Lua 脚本确保原子性)
* @param {string} apiKeyId - API Key ID
* @param {string} field - 统计字段 (entered/success/timeout/cancelled)
* @returns {Promise<number>} 增加后的计数
*/
redisClient.incrConcurrencyQueueStats = async function (apiKeyId, field) {
const key = `concurrency:queue:stats:${apiKeyId}`
try {
// 使用 Lua 脚本确保 HINCRBY 和 EXPIRE 原子执行
// 防止在两者之间崩溃导致统计键没有 TTL内存泄漏
const script = `
local count = redis.call('HINCRBY', KEYS[1], ARGV[1], 1)
redis.call('EXPIRE', KEYS[1], ARGV[2])
return count
`
const count = await this.client.eval(script, 1, key, field, String(QUEUE_STATS_TTL_SECONDS))
return parseInt(count)
} catch (error) {
logger.error(`Failed to increment queue stats ${field} for ${apiKeyId}:`, error)
return 0
}
}
/**
* 获取排队统计
* @param {string} apiKeyId - API Key ID
* @returns {Promise<Object>} 统计数据
*/
redisClient.getConcurrencyQueueStats = async function (apiKeyId) {
const key = `concurrency:queue:stats:${apiKeyId}`
try {
const stats = await this.client.hgetall(key)
return {
entered: parseInt(stats?.entered || 0),
success: parseInt(stats?.success || 0),
timeout: parseInt(stats?.timeout || 0),
cancelled: parseInt(stats?.cancelled || 0),
socket_changed: parseInt(stats?.socket_changed || 0),
rejected_overload: parseInt(stats?.rejected_overload || 0)
}
} catch (error) {
logger.error(`Failed to get queue stats for ${apiKeyId}:`, error)
return {
entered: 0,
success: 0,
timeout: 0,
cancelled: 0,
socket_changed: 0,
rejected_overload: 0
}
}
}
/**
* 记录排队等待时间(按 API Key 分开存储)
* @param {string} apiKeyId - API Key ID
* @param {number} waitTimeMs - 等待时间(毫秒)
* @returns {Promise<void>}
*/
redisClient.recordQueueWaitTime = async function (apiKeyId, waitTimeMs) {
const key = `concurrency:queue:wait_times:${apiKeyId}`
try {
// 使用 Lua 脚本确保原子性,同时设置 TTL 防止内存泄漏
const script = `
redis.call('LPUSH', KEYS[1], ARGV[1])
redis.call('LTRIM', KEYS[1], 0, ARGV[2])
redis.call('EXPIRE', KEYS[1], ARGV[3])
return 1
`
await this.client.eval(
script,
1,
key,
waitTimeMs,
WAIT_TIME_SAMPLES_PER_KEY - 1,
WAIT_TIME_TTL_SECONDS
)
} catch (error) {
logger.error(`Failed to record queue wait time for ${apiKeyId}:`, error)
}
}
/**
* 记录全局排队等待时间
* @param {number} waitTimeMs - 等待时间(毫秒)
* @returns {Promise<void>}
*/
redisClient.recordGlobalQueueWaitTime = async function (waitTimeMs) {
const key = 'concurrency:queue:wait_times:global'
try {
// 使用 Lua 脚本确保原子性,同时设置 TTL 防止内存泄漏
const script = `
redis.call('LPUSH', KEYS[1], ARGV[1])
redis.call('LTRIM', KEYS[1], 0, ARGV[2])
redis.call('EXPIRE', KEYS[1], ARGV[3])
return 1
`
await this.client.eval(
script,
1,
key,
waitTimeMs,
WAIT_TIME_SAMPLES_GLOBAL - 1,
WAIT_TIME_TTL_SECONDS
)
} catch (error) {
logger.error('Failed to record global queue wait time:', error)
}
}
/**
* 获取全局等待时间列表
* @returns {Promise<number[]>} 等待时间列表
*/
redisClient.getGlobalQueueWaitTimes = async function () {
const key = 'concurrency:queue:wait_times:global'
try {
const samples = await this.client.lrange(key, 0, -1)
return samples.map(Number)
} catch (error) {
logger.error('Failed to get global queue wait times:', error)
return []
}
}
/**
* 获取指定 API Key 的等待时间列表
* @param {string} apiKeyId - API Key ID
* @returns {Promise<number[]>} 等待时间列表
*/
redisClient.getQueueWaitTimes = async function (apiKeyId) {
const key = `concurrency:queue:wait_times:${apiKeyId}`
try {
const samples = await this.client.lrange(key, 0, -1)
return samples.map(Number)
} catch (error) {
logger.error(`Failed to get queue wait times for ${apiKeyId}:`, error)
return []
}
}
/**
* 扫描所有排队统计键
* @returns {Promise<string[]>} API Key ID 列表
*/
redisClient.scanConcurrencyQueueStatsKeys = async function () {
const apiKeyIds = []
let cursor = '0'
let iterations = 0
const MAX_ITERATIONS = 1000
try {
do {
const [newCursor, keys] = await this.client.scan(
cursor,
'MATCH',
'concurrency:queue:stats:*',
'COUNT',
100
)
cursor = newCursor
iterations++
for (const key of keys) {
const apiKeyId = key.replace('concurrency:queue:stats:', '')
apiKeyIds.push(apiKeyId)
}
if (iterations >= MAX_ITERATIONS) {
break
}
} while (cursor !== '0')
return apiKeyIds
} catch (error) {
logger.error('Failed to scan concurrency queue stats keys:', error)
return []
}
}
module.exports = redisClient module.exports = redisClient

View File

@@ -919,6 +919,62 @@ async function calculateKeyStats(keyId, timeRange, startDate, endDate) {
// 去重(避免日数据和月数据重复计算) // 去重(避免日数据和月数据重复计算)
const uniqueKeys = [...new Set(allKeys)] const uniqueKeys = [...new Set(allKeys)]
// 获取实时限制数据(窗口数据不受时间范围筛选影响,始终获取当前窗口状态)
let dailyCost = 0
let currentWindowCost = 0
let windowRemainingSeconds = null
let windowStartTime = null
let windowEndTime = null
let allTimeCost = 0
try {
// 先获取 API Key 配置,判断是否需要查询限制相关数据
const apiKey = await redis.getApiKey(keyId)
const rateLimitWindow = parseInt(apiKey?.rateLimitWindow) || 0
const dailyCostLimit = parseFloat(apiKey?.dailyCostLimit) || 0
const totalCostLimit = parseFloat(apiKey?.totalCostLimit) || 0
// 只在启用了每日费用限制时查询
if (dailyCostLimit > 0) {
dailyCost = await redis.getDailyCost(keyId)
}
// 只在启用了总费用限制时查询
if (totalCostLimit > 0) {
const totalCostKey = `usage:cost:total:${keyId}`
allTimeCost = parseFloat((await client.get(totalCostKey)) || '0')
}
// 只在启用了窗口限制时查询窗口数据
if (rateLimitWindow > 0) {
const costCountKey = `rate_limit:cost:${keyId}`
const windowStartKey = `rate_limit:window_start:${keyId}`
currentWindowCost = parseFloat((await client.get(costCountKey)) || '0')
// 获取窗口开始时间和计算剩余时间
const windowStart = await client.get(windowStartKey)
if (windowStart) {
const now = Date.now()
windowStartTime = parseInt(windowStart)
const windowDuration = rateLimitWindow * 60 * 1000 // 转换为毫秒
windowEndTime = windowStartTime + windowDuration
// 如果窗口还有效
if (now < windowEndTime) {
windowRemainingSeconds = Math.max(0, Math.floor((windowEndTime - now) / 1000))
} else {
// 窗口已过期
windowRemainingSeconds = 0
currentWindowCost = 0
}
}
}
} catch (error) {
logger.warn(`⚠️ 获取实时限制数据失败 (key: ${keyId}):`, error.message)
}
// 如果没有使用数据,返回零值但包含窗口数据
if (uniqueKeys.length === 0) { if (uniqueKeys.length === 0) {
return { return {
requests: 0, requests: 0,
@@ -928,7 +984,14 @@ async function calculateKeyStats(keyId, timeRange, startDate, endDate) {
cacheCreateTokens: 0, cacheCreateTokens: 0,
cacheReadTokens: 0, cacheReadTokens: 0,
cost: 0, cost: 0,
formattedCost: '$0.00' formattedCost: '$0.00',
// 实时限制数据(始终返回,不受时间范围影响)
dailyCost,
currentWindowCost,
windowRemainingSeconds,
windowStartTime,
windowEndTime,
allTimeCost
} }
} }
@@ -1029,52 +1092,6 @@ async function calculateKeyStats(keyId, timeRange, startDate, endDate) {
const tokens = inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens const tokens = inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens
// 获取实时限制数据
let dailyCost = 0
let currentWindowCost = 0
let windowRemainingSeconds = null
let windowStartTime = null
let windowEndTime = null
let allTimeCost = 0
try {
// 获取当日费用
dailyCost = await redis.getDailyCost(keyId)
// 获取历史总费用(用于总费用限制进度条,不受时间范围影响)
const totalCostKey = `usage:cost:total:${keyId}`
allTimeCost = parseFloat((await client.get(totalCostKey)) || '0')
// 获取 API Key 配置信息以判断是否需要窗口数据
const apiKey = await redis.getApiKey(keyId)
if (apiKey && apiKey.rateLimitWindow > 0) {
const costCountKey = `rate_limit:cost:${keyId}`
const windowStartKey = `rate_limit:window_start:${keyId}`
currentWindowCost = parseFloat((await client.get(costCountKey)) || '0')
// 获取窗口开始时间和计算剩余时间
const windowStart = await client.get(windowStartKey)
if (windowStart) {
const now = Date.now()
windowStartTime = parseInt(windowStart)
const windowDuration = apiKey.rateLimitWindow * 60 * 1000 // 转换为毫秒
windowEndTime = windowStartTime + windowDuration
// 如果窗口还有效
if (now < windowEndTime) {
windowRemainingSeconds = Math.max(0, Math.floor((windowEndTime - now) / 1000))
} else {
// 窗口已过期
windowRemainingSeconds = 0
currentWindowCost = 0
}
}
}
} catch (error) {
logger.debug(`获取实时限制数据失败 (key: ${keyId}):`, error.message)
}
return { return {
requests: totalRequests, requests: totalRequests,
tokens, tokens,

View File

@@ -0,0 +1,239 @@
/**
* Claude 转发配置 API 路由
* 管理全局 Claude Code 限制和会话绑定配置
*/
const express = require('express')
const { authenticateAdmin } = require('../../middleware/auth')
const claudeRelayConfigService = require('../../services/claudeRelayConfigService')
const logger = require('../../utils/logger')
const router = express.Router()
/**
* GET /admin/claude-relay-config
* 获取 Claude 转发配置
*/
router.get('/claude-relay-config', authenticateAdmin, async (req, res) => {
try {
const config = await claudeRelayConfigService.getConfig()
return res.json({
success: true,
config
})
} catch (error) {
logger.error('❌ Failed to get Claude relay config:', error)
return res.status(500).json({
error: 'Failed to get configuration',
message: error.message
})
}
})
/**
* PUT /admin/claude-relay-config
* 更新 Claude 转发配置
*/
router.put('/claude-relay-config', authenticateAdmin, async (req, res) => {
try {
const {
claudeCodeOnlyEnabled,
globalSessionBindingEnabled,
sessionBindingErrorMessage,
sessionBindingTtlDays,
userMessageQueueEnabled,
userMessageQueueDelayMs,
userMessageQueueTimeoutMs,
concurrentRequestQueueEnabled,
concurrentRequestQueueMaxSize,
concurrentRequestQueueMaxSizeMultiplier,
concurrentRequestQueueTimeoutMs
} = req.body
// 验证输入
if (claudeCodeOnlyEnabled !== undefined && typeof claudeCodeOnlyEnabled !== 'boolean') {
return res.status(400).json({ error: 'claudeCodeOnlyEnabled must be a boolean' })
}
if (
globalSessionBindingEnabled !== undefined &&
typeof globalSessionBindingEnabled !== 'boolean'
) {
return res.status(400).json({ error: 'globalSessionBindingEnabled must be a boolean' })
}
if (sessionBindingErrorMessage !== undefined) {
if (typeof sessionBindingErrorMessage !== 'string') {
return res.status(400).json({ error: 'sessionBindingErrorMessage must be a string' })
}
if (sessionBindingErrorMessage.length > 500) {
return res
.status(400)
.json({ error: 'sessionBindingErrorMessage must be less than 500 characters' })
}
}
if (sessionBindingTtlDays !== undefined) {
if (
typeof sessionBindingTtlDays !== 'number' ||
sessionBindingTtlDays < 1 ||
sessionBindingTtlDays > 365
) {
return res
.status(400)
.json({ error: 'sessionBindingTtlDays must be a number between 1 and 365' })
}
}
// 验证用户消息队列配置
if (userMessageQueueEnabled !== undefined && typeof userMessageQueueEnabled !== 'boolean') {
return res.status(400).json({ error: 'userMessageQueueEnabled must be a boolean' })
}
if (userMessageQueueDelayMs !== undefined) {
if (
typeof userMessageQueueDelayMs !== 'number' ||
userMessageQueueDelayMs < 0 ||
userMessageQueueDelayMs > 10000
) {
return res
.status(400)
.json({ error: 'userMessageQueueDelayMs must be a number between 0 and 10000' })
}
}
if (userMessageQueueTimeoutMs !== undefined) {
if (
typeof userMessageQueueTimeoutMs !== 'number' ||
userMessageQueueTimeoutMs < 1000 ||
userMessageQueueTimeoutMs > 300000
) {
return res
.status(400)
.json({ error: 'userMessageQueueTimeoutMs must be a number between 1000 and 300000' })
}
}
// 验证并发请求排队配置
if (
concurrentRequestQueueEnabled !== undefined &&
typeof concurrentRequestQueueEnabled !== 'boolean'
) {
return res.status(400).json({ error: 'concurrentRequestQueueEnabled must be a boolean' })
}
if (concurrentRequestQueueMaxSize !== undefined) {
if (
typeof concurrentRequestQueueMaxSize !== 'number' ||
!Number.isInteger(concurrentRequestQueueMaxSize) ||
concurrentRequestQueueMaxSize < 1 ||
concurrentRequestQueueMaxSize > 100
) {
return res
.status(400)
.json({ error: 'concurrentRequestQueueMaxSize must be an integer between 1 and 100' })
}
}
if (concurrentRequestQueueMaxSizeMultiplier !== undefined) {
// 使用 Number.isFinite() 同时排除 NaN、Infinity、-Infinity 和非数字类型
if (
!Number.isFinite(concurrentRequestQueueMaxSizeMultiplier) ||
concurrentRequestQueueMaxSizeMultiplier < 0 ||
concurrentRequestQueueMaxSizeMultiplier > 10
) {
return res.status(400).json({
error: 'concurrentRequestQueueMaxSizeMultiplier must be a finite number between 0 and 10'
})
}
}
if (concurrentRequestQueueTimeoutMs !== undefined) {
if (
typeof concurrentRequestQueueTimeoutMs !== 'number' ||
!Number.isInteger(concurrentRequestQueueTimeoutMs) ||
concurrentRequestQueueTimeoutMs < 5000 ||
concurrentRequestQueueTimeoutMs > 300000
) {
return res.status(400).json({
error:
'concurrentRequestQueueTimeoutMs must be an integer between 5000 and 300000 (5 seconds to 5 minutes)'
})
}
}
const updateData = {}
if (claudeCodeOnlyEnabled !== undefined) {
updateData.claudeCodeOnlyEnabled = claudeCodeOnlyEnabled
}
if (globalSessionBindingEnabled !== undefined) {
updateData.globalSessionBindingEnabled = globalSessionBindingEnabled
}
if (sessionBindingErrorMessage !== undefined) {
updateData.sessionBindingErrorMessage = sessionBindingErrorMessage
}
if (sessionBindingTtlDays !== undefined) {
updateData.sessionBindingTtlDays = sessionBindingTtlDays
}
if (userMessageQueueEnabled !== undefined) {
updateData.userMessageQueueEnabled = userMessageQueueEnabled
}
if (userMessageQueueDelayMs !== undefined) {
updateData.userMessageQueueDelayMs = userMessageQueueDelayMs
}
if (userMessageQueueTimeoutMs !== undefined) {
updateData.userMessageQueueTimeoutMs = userMessageQueueTimeoutMs
}
if (concurrentRequestQueueEnabled !== undefined) {
updateData.concurrentRequestQueueEnabled = concurrentRequestQueueEnabled
}
if (concurrentRequestQueueMaxSize !== undefined) {
updateData.concurrentRequestQueueMaxSize = concurrentRequestQueueMaxSize
}
if (concurrentRequestQueueMaxSizeMultiplier !== undefined) {
updateData.concurrentRequestQueueMaxSizeMultiplier = concurrentRequestQueueMaxSizeMultiplier
}
if (concurrentRequestQueueTimeoutMs !== undefined) {
updateData.concurrentRequestQueueTimeoutMs = concurrentRequestQueueTimeoutMs
}
const updatedConfig = await claudeRelayConfigService.updateConfig(
updateData,
req.admin?.username || 'unknown'
)
return res.json({
success: true,
message: 'Configuration updated successfully',
config: updatedConfig
})
} catch (error) {
logger.error('❌ Failed to update Claude relay config:', error)
return res.status(500).json({
error: 'Failed to update configuration',
message: error.message
})
}
})
/**
* GET /admin/claude-relay-config/session-bindings
* 获取会话绑定统计
*/
router.get('/claude-relay-config/session-bindings', authenticateAdmin, async (req, res) => {
try {
const stats = await claudeRelayConfigService.getSessionBindingStats()
return res.json({
success: true,
data: stats
})
} catch (error) {
logger.error('❌ Failed to get session binding stats:', error)
return res.status(500).json({
error: 'Failed to get session binding statistics',
message: error.message
})
}
})
module.exports = router

View File

@@ -7,26 +7,40 @@ const express = require('express')
const router = express.Router() const router = express.Router()
const redis = require('../../models/redis') const redis = require('../../models/redis')
const logger = require('../../utils/logger') const logger = require('../../utils/logger')
const { authenticateAdmin } = require('../../middleware/auth')
const { calculateWaitTimeStats } = require('../../utils/statsHelper')
/** /**
* GET /admin/concurrency * GET /admin/concurrency
* 获取所有并发状态 * 获取所有并发状态
*/ */
router.get('/concurrency', async (req, res) => { router.get('/concurrency', authenticateAdmin, async (req, res) => {
try { try {
const status = await redis.getAllConcurrencyStatus() const status = await redis.getAllConcurrencyStatus()
// 为每个 API Key 获取排队计数
const statusWithQueue = await Promise.all(
status.map(async (s) => {
const queueCount = await redis.getConcurrencyQueueCount(s.apiKeyId)
return {
...s,
queueCount
}
})
)
// 计算汇总统计 // 计算汇总统计
const summary = { const summary = {
totalKeys: status.length, totalKeys: statusWithQueue.length,
totalActiveRequests: status.reduce((sum, s) => sum + s.activeCount, 0), totalActiveRequests: statusWithQueue.reduce((sum, s) => sum + s.activeCount, 0),
totalExpiredRequests: status.reduce((sum, s) => sum + s.expiredCount, 0) totalExpiredRequests: statusWithQueue.reduce((sum, s) => sum + s.expiredCount, 0),
totalQueuedRequests: statusWithQueue.reduce((sum, s) => sum + s.queueCount, 0)
} }
res.json({ res.json({
success: true, success: true,
summary, summary,
concurrencyStatus: status concurrencyStatus: statusWithQueue
}) })
} catch (error) { } catch (error) {
logger.error('❌ Failed to get concurrency status:', error) logger.error('❌ Failed to get concurrency status:', error)
@@ -39,17 +53,171 @@ router.get('/concurrency', async (req, res) => {
}) })
/** /**
* GET /admin/concurrency/:apiKeyId * GET /admin/concurrency-queue/stats
* 获取特定 API Key 的并发状态详情 * 获取排队统计信息
*/ */
router.get('/concurrency/:apiKeyId', async (req, res) => { router.get('/concurrency-queue/stats', authenticateAdmin, async (req, res) => {
try { try {
const { apiKeyId } = req.params // 获取所有有统计数据的 API Key
const status = await redis.getConcurrencyStatus(apiKeyId) const statsKeys = await redis.scanConcurrencyQueueStatsKeys()
const queueKeys = await redis.scanConcurrencyQueueKeys()
// 合并所有相关的 API Key
const allApiKeyIds = [...new Set([...statsKeys, ...queueKeys])]
// 获取各 API Key 的详细统计
const perKeyStats = await Promise.all(
allApiKeyIds.map(async (apiKeyId) => {
const [queueCount, stats, waitTimes] = await Promise.all([
redis.getConcurrencyQueueCount(apiKeyId),
redis.getConcurrencyQueueStats(apiKeyId),
redis.getQueueWaitTimes(apiKeyId)
])
return {
apiKeyId,
currentQueueCount: queueCount,
stats,
waitTimeStats: calculateWaitTimeStats(waitTimes)
}
})
)
// 获取全局等待时间统计
const globalWaitTimes = await redis.getGlobalQueueWaitTimes()
const globalWaitTimeStats = calculateWaitTimeStats(globalWaitTimes)
// 计算全局汇总
const globalStats = {
totalEntered: perKeyStats.reduce((sum, s) => sum + s.stats.entered, 0),
totalSuccess: perKeyStats.reduce((sum, s) => sum + s.stats.success, 0),
totalTimeout: perKeyStats.reduce((sum, s) => sum + s.stats.timeout, 0),
totalCancelled: perKeyStats.reduce((sum, s) => sum + s.stats.cancelled, 0),
totalSocketChanged: perKeyStats.reduce((sum, s) => sum + (s.stats.socket_changed || 0), 0),
totalRejectedOverload: perKeyStats.reduce(
(sum, s) => sum + (s.stats.rejected_overload || 0),
0
),
currentTotalQueued: perKeyStats.reduce((sum, s) => sum + s.currentQueueCount, 0),
// 队列资源利用率指标
peakQueueSize:
perKeyStats.length > 0 ? Math.max(...perKeyStats.map((s) => s.currentQueueCount)) : 0,
avgQueueSize:
perKeyStats.length > 0
? Math.round(
perKeyStats.reduce((sum, s) => sum + s.currentQueueCount, 0) / perKeyStats.length
)
: 0,
activeApiKeys: perKeyStats.filter((s) => s.currentQueueCount > 0).length
}
// 计算成功率
if (globalStats.totalEntered > 0) {
globalStats.successRate = Math.round(
(globalStats.totalSuccess / globalStats.totalEntered) * 100
)
globalStats.timeoutRate = Math.round(
(globalStats.totalTimeout / globalStats.totalEntered) * 100
)
globalStats.cancelledRate = Math.round(
(globalStats.totalCancelled / globalStats.totalEntered) * 100
)
}
// 从全局等待时间统计中提取关键指标
if (globalWaitTimeStats) {
globalStats.avgWaitTimeMs = globalWaitTimeStats.avg
globalStats.p50WaitTimeMs = globalWaitTimeStats.p50
globalStats.p90WaitTimeMs = globalWaitTimeStats.p90
globalStats.p99WaitTimeMs = globalWaitTimeStats.p99
// 多实例采样策略标记(详见 design.md Decision 9
// 全局 P90 仅用于可视化和监控,不用于系统决策
// 健康检查使用 API Key 级别的 P90每 Key 独立采样)
globalWaitTimeStats.globalP90ForVisualizationOnly = true
}
res.json({ res.json({
success: true, success: true,
concurrencyStatus: status globalStats,
globalWaitTimeStats,
perKeyStats
})
} catch (error) {
logger.error('❌ Failed to get queue stats:', error)
res.status(500).json({
success: false,
error: 'Failed to get queue stats',
message: error.message
})
}
})
/**
* DELETE /admin/concurrency-queue/:apiKeyId
* 清理特定 API Key 的排队计数
*/
router.delete('/concurrency-queue/:apiKeyId', authenticateAdmin, async (req, res) => {
try {
const { apiKeyId } = req.params
await redis.clearConcurrencyQueue(apiKeyId)
logger.warn(`🧹 Admin ${req.admin?.username || 'unknown'} cleared queue for key ${apiKeyId}`)
res.json({
success: true,
message: `Successfully cleared queue for API key ${apiKeyId}`
})
} catch (error) {
logger.error(`❌ Failed to clear queue for ${req.params.apiKeyId}:`, error)
res.status(500).json({
success: false,
error: 'Failed to clear queue',
message: error.message
})
}
})
/**
* DELETE /admin/concurrency-queue
* 清理所有排队计数
*/
router.delete('/concurrency-queue', authenticateAdmin, async (req, res) => {
try {
const cleared = await redis.clearAllConcurrencyQueues()
logger.warn(`🧹 Admin ${req.admin?.username || 'unknown'} cleared ALL queues`)
res.json({
success: true,
message: 'Successfully cleared all queues',
cleared
})
} catch (error) {
logger.error('❌ Failed to clear all queues:', error)
res.status(500).json({
success: false,
error: 'Failed to clear all queues',
message: error.message
})
}
})
/**
* GET /admin/concurrency/:apiKeyId
* 获取特定 API Key 的并发状态详情
*/
router.get('/concurrency/:apiKeyId', authenticateAdmin, async (req, res) => {
try {
const { apiKeyId } = req.params
const status = await redis.getConcurrencyStatus(apiKeyId)
const queueCount = await redis.getConcurrencyQueueCount(apiKeyId)
res.json({
success: true,
concurrencyStatus: {
...status,
queueCount
}
}) })
} catch (error) { } catch (error) {
logger.error(`❌ Failed to get concurrency status for ${req.params.apiKeyId}:`, error) logger.error(`❌ Failed to get concurrency status for ${req.params.apiKeyId}:`, error)
@@ -65,7 +233,7 @@ router.get('/concurrency/:apiKeyId', async (req, res) => {
* DELETE /admin/concurrency/:apiKeyId * DELETE /admin/concurrency/:apiKeyId
* 强制清理特定 API Key 的并发计数 * 强制清理特定 API Key 的并发计数
*/ */
router.delete('/concurrency/:apiKeyId', async (req, res) => { router.delete('/concurrency/:apiKeyId', authenticateAdmin, async (req, res) => {
try { try {
const { apiKeyId } = req.params const { apiKeyId } = req.params
const result = await redis.forceClearConcurrency(apiKeyId) const result = await redis.forceClearConcurrency(apiKeyId)
@@ -93,7 +261,7 @@ router.delete('/concurrency/:apiKeyId', async (req, res) => {
* DELETE /admin/concurrency * DELETE /admin/concurrency
* 强制清理所有并发计数 * 强制清理所有并发计数
*/ */
router.delete('/concurrency', async (req, res) => { router.delete('/concurrency', authenticateAdmin, async (req, res) => {
try { try {
const result = await redis.forceClearAllConcurrency() const result = await redis.forceClearAllConcurrency()
@@ -118,7 +286,7 @@ router.delete('/concurrency', async (req, res) => {
* POST /admin/concurrency/cleanup * POST /admin/concurrency/cleanup
* 清理过期的并发条目(不影响活跃请求) * 清理过期的并发条目(不影响活跃请求)
*/ */
router.post('/concurrency/cleanup', async (req, res) => { router.post('/concurrency/cleanup', authenticateAdmin, async (req, res) => {
try { try {
const { apiKeyId } = req.body const { apiKeyId } = req.body
const result = await redis.cleanupExpiredConcurrency(apiKeyId || null) const result = await redis.cleanupExpiredConcurrency(apiKeyId || null)

View File

@@ -23,6 +23,7 @@ const dashboardRoutes = require('./dashboard')
const usageStatsRoutes = require('./usageStats') const usageStatsRoutes = require('./usageStats')
const systemRoutes = require('./system') const systemRoutes = require('./system')
const concurrencyRoutes = require('./concurrency') const concurrencyRoutes = require('./concurrency')
const claudeRelayConfigRoutes = require('./claudeRelayConfig')
// 挂载所有子路由 // 挂载所有子路由
// 使用完整路径的模块(直接挂载到根路径) // 使用完整路径的模块(直接挂载到根路径)
@@ -37,6 +38,7 @@ router.use('/', dashboardRoutes)
router.use('/', usageStatsRoutes) router.use('/', usageStatsRoutes)
router.use('/', systemRoutes) router.use('/', systemRoutes)
router.use('/', concurrencyRoutes) router.use('/', concurrencyRoutes)
router.use('/', claudeRelayConfigRoutes)
// 使用相对路径的模块(需要指定基础路径前缀) // 使用相对路径的模块(需要指定基础路径前缀)
router.use('/account-groups', accountGroupsRoutes) router.use('/account-groups', accountGroupsRoutes)

View File

@@ -11,6 +11,7 @@ const logger = require('../utils/logger')
const { getEffectiveModel, parseVendorPrefixedModel } = require('../utils/modelHelper') const { getEffectiveModel, parseVendorPrefixedModel } = require('../utils/modelHelper')
const sessionHelper = require('../utils/sessionHelper') const sessionHelper = require('../utils/sessionHelper')
const { updateRateLimitCounters } = require('../utils/rateLimitHelper') const { updateRateLimitCounters } = require('../utils/rateLimitHelper')
const claudeRelayConfigService = require('../services/claudeRelayConfigService')
const { sanitizeUpstreamError } = require('../utils/errorSanitizer') const { sanitizeUpstreamError } = require('../utils/errorSanitizer')
const router = express.Router() const router = express.Router()
@@ -37,6 +38,73 @@ function queueRateLimitUpdate(rateLimitInfo, usageSummary, model, context = '')
}) })
} }
/**
* 判断是否为旧会话(污染的会话)
* Claude Code 发送的请求特点:
* - messages 数组通常只有 1 个元素
* - 历史对话记录嵌套在单个 message 的 content 数组中
* - content 数组中包含 <system-reminder> 开头的系统注入内容
*
* 污染会话的特征:
* 1. messages.length > 1
* 2. messages.length === 1 但 content 中有多个用户输入
* 3. "warmup" 请求:单条简单消息 + 无 tools真正新会话会带 tools
*
* @param {Object} body - 请求体
* @returns {boolean} 是否为旧会话
*/
function isOldSession(body) {
const messages = body?.messages
const tools = body?.tools
if (!messages || messages.length === 0) {
return false
}
// 1. 多条消息 = 旧会话
if (messages.length > 1) {
return true
}
// 2. 单条消息,分析 content
const firstMessage = messages[0]
const content = firstMessage?.content
if (!content) {
return false
}
// 如果 content 是字符串,只有一条输入,需要检查 tools
if (typeof content === 'string') {
// 有 tools = 正常新会话,无 tools = 可疑
return !tools || tools.length === 0
}
// 如果 content 是数组,统计非 system-reminder 的元素
if (Array.isArray(content)) {
const userInputs = content.filter((item) => {
if (item.type !== 'text') {
return false
}
const text = item.text || ''
// 剔除以 <system-reminder> 开头的
return !text.trimStart().startsWith('<system-reminder>')
})
// 多个用户输入 = 旧会话
if (userInputs.length > 1) {
return true
}
// Warmup 检测:单个消息 + 无 tools = 旧会话
if (userInputs.length === 1 && (!tools || tools.length === 0)) {
return true
}
}
return false
}
// 🔧 共享的消息处理函数 // 🔧 共享的消息处理函数
async function handleMessagesRequest(req, res) { async function handleMessagesRequest(req, res) {
try { try {
@@ -122,12 +190,42 @@ async function handleMessagesRequest(req, res) {
) )
if (isStream) { if (isStream) {
// 🔍 检查客户端连接是否仍然有效(可能在并发排队等待期间断开)
if (res.destroyed || res.socket?.destroyed || res.writableEnded) {
logger.warn(
`⚠️ Client disconnected before stream response could start for key: ${req.apiKey?.name || 'unknown'}`
)
return undefined
}
// 流式响应 - 只使用官方真实usage数据 // 流式响应 - 只使用官方真实usage数据
res.setHeader('Content-Type', 'text/event-stream') res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache') res.setHeader('Cache-Control', 'no-cache')
res.setHeader('Connection', 'keep-alive') res.setHeader('Connection', 'keep-alive')
res.setHeader('Access-Control-Allow-Origin', '*') res.setHeader('Access-Control-Allow-Origin', '*')
res.setHeader('X-Accel-Buffering', 'no') // 禁用 Nginx 缓冲 res.setHeader('X-Accel-Buffering', 'no') // 禁用 Nginx 缓冲
// ⚠️ 检查 headers 是否已发送(可能在排队心跳时已设置)
if (!res.headersSent) {
res.setHeader('Content-Type', 'text/event-stream')
res.setHeader('Cache-Control', 'no-cache')
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
// 当并发队列功能启用时auth.js 会设置 Connection: close 来禁用 Keep-Alive
// 这里只在没有设置过 Connection 头时才设置 keep-alive
const existingConnection = res.getHeader('Connection')
if (!existingConnection) {
res.setHeader('Connection', 'keep-alive')
} else {
logger.api(
`🔌 [STREAM] Preserving existing Connection header: ${existingConnection} for key: ${req.apiKey?.name || 'unknown'}`
)
}
res.setHeader('Access-Control-Allow-Origin', '*')
res.setHeader('X-Accel-Buffering', 'no') // 禁用 Nginx 缓冲
} else {
logger.debug(
`📤 [STREAM] Headers already sent, skipping setHeader for key: ${req.apiKey?.name || 'unknown'}`
)
}
// 禁用 Nagle 算法,确保数据立即发送 // 禁用 Nagle 算法,确保数据立即发送
if (res.socket && typeof res.socket.setNoDelay === 'function') { if (res.socket && typeof res.socket.setNoDelay === 'function') {
@@ -141,6 +239,56 @@ async function handleMessagesRequest(req, res) {
// 生成会话哈希用于sticky会话 // 生成会话哈希用于sticky会话
const sessionHash = sessionHelper.generateSessionHash(req.body) const sessionHash = sessionHelper.generateSessionHash(req.body)
// 🔒 全局会话绑定验证
let forcedAccount = null
let needSessionBinding = false
let originalSessionIdForBinding = null
try {
const globalBindingEnabled = await claudeRelayConfigService.isGlobalSessionBindingEnabled()
if (globalBindingEnabled) {
const originalSessionId = claudeRelayConfigService.extractOriginalSessionId(req.body)
if (originalSessionId) {
const validation = await claudeRelayConfigService.validateNewSession(
req.body,
originalSessionId
)
if (!validation.valid) {
logger.api(
`❌ Session binding validation failed: ${validation.code} for session ${originalSessionId}`
)
return res.status(403).json({
error: {
type: 'session_binding_error',
message: validation.error
}
})
}
// 如果已有绑定,使用绑定的账户
if (validation.binding) {
forcedAccount = validation.binding
logger.api(
`🔗 Using bound account for session ${originalSessionId}: ${forcedAccount.accountId}`
)
}
// 标记需要在调度成功后建立绑定
if (validation.isNewSession) {
needSessionBinding = true
originalSessionIdForBinding = originalSessionId
logger.api(`📝 New session detected, will create binding: ${originalSessionId}`)
}
}
}
} catch (error) {
logger.error('❌ Error in global session binding check:', error)
// 配置服务出错时不阻断请求
}
// 使用统一调度选择账号(传递请求的模型) // 使用统一调度选择账号(传递请求的模型)
const requestedModel = req.body.model const requestedModel = req.body.model
let accountId let accountId
@@ -149,10 +297,21 @@ async function handleMessagesRequest(req, res) {
const selection = await unifiedClaudeScheduler.selectAccountForApiKey( const selection = await unifiedClaudeScheduler.selectAccountForApiKey(
req.apiKey, req.apiKey,
sessionHash, sessionHash,
requestedModel requestedModel,
forcedAccount
) )
;({ accountId, accountType } = selection) ;({ accountId, accountType } = selection)
} catch (error) { } catch (error) {
// 处理会话绑定账户不可用的错误
if (error.code === 'SESSION_BINDING_ACCOUNT_UNAVAILABLE') {
const errorMessage = await claudeRelayConfigService.getSessionBindingErrorMessage()
return res.status(403).json({
error: {
type: 'session_binding_error',
message: errorMessage
}
})
}
if (error.code === 'CLAUDE_DEDICATED_RATE_LIMITED') { if (error.code === 'CLAUDE_DEDICATED_RATE_LIMITED') {
const limitMessage = claudeRelayService._buildStandardRateLimitMessage( const limitMessage = claudeRelayService._buildStandardRateLimitMessage(
error.rateLimitEndAt error.rateLimitEndAt
@@ -170,6 +329,40 @@ async function handleMessagesRequest(req, res) {
throw error throw error
} }
// 🔗 在成功调度后建立会话绑定(仅 claude-official 类型)
// claude-official 只接受1) 新会话 2) 已绑定的会话
if (
needSessionBinding &&
originalSessionIdForBinding &&
accountId &&
accountType === 'claude-official'
) {
// 🚫 检测旧会话(污染的会话)
if (isOldSession(req.body)) {
const cfg = await claudeRelayConfigService.getConfig()
logger.warn(
`🚫 Old session rejected: sessionId=${originalSessionIdForBinding}, messages.length=${req.body?.messages?.length}, tools.length=${req.body?.tools?.length || 0}, isOldSession=true`
)
return res.status(400).json({
error: {
type: 'session_binding_error',
message: cfg.sessionBindingErrorMessage || '你的本地session已污染请清理后使用。'
}
})
}
// 创建绑定
try {
await claudeRelayConfigService.setOriginalSessionBinding(
originalSessionIdForBinding,
accountId,
accountType
)
} catch (bindingError) {
logger.warn(`⚠️ Failed to create session binding:`, bindingError)
}
}
// 根据账号类型选择对应的转发服务并调用 // 根据账号类型选择对应的转发服务并调用
if (accountType === 'claude-official') { if (accountType === 'claude-official') {
// 官方Claude账号使用原有的转发服务会自己选择账号 // 官方Claude账号使用原有的转发服务会自己选择账号
@@ -494,15 +687,113 @@ async function handleMessagesRequest(req, res) {
} }
}, 1000) // 1秒后检查 }, 1000) // 1秒后检查
} else { } else {
// 🔍 检查客户端连接是否仍然有效(可能在并发排队等待期间断开)
if (res.destroyed || res.socket?.destroyed || res.writableEnded) {
logger.warn(
`⚠️ Client disconnected before non-stream request could start for key: ${req.apiKey?.name || 'unknown'}`
)
return undefined
}
// 非流式响应 - 只使用官方真实usage数据 // 非流式响应 - 只使用官方真实usage数据
logger.info('📄 Starting non-streaming request', { logger.info('📄 Starting non-streaming request', {
apiKeyId: req.apiKey.id, apiKeyId: req.apiKey.id,
apiKeyName: req.apiKey.name apiKeyName: req.apiKey.name
}) })
// 📊 监听 socket 事件以追踪连接状态变化
const nonStreamSocket = res.socket
let _clientClosedConnection = false
let _socketCloseTime = null
if (nonStreamSocket) {
const onSocketEnd = () => {
_clientClosedConnection = true
_socketCloseTime = Date.now()
logger.warn(
`⚠️ [NON-STREAM] Socket 'end' event - client sent FIN | key: ${req.apiKey?.name}, ` +
`requestId: ${req.requestId}, elapsed: ${Date.now() - startTime}ms`
)
}
const onSocketClose = () => {
_clientClosedConnection = true
logger.warn(
`⚠️ [NON-STREAM] Socket 'close' event | key: ${req.apiKey?.name}, ` +
`requestId: ${req.requestId}, elapsed: ${Date.now() - startTime}ms, ` +
`hadError: ${nonStreamSocket.destroyed}`
)
}
const onSocketError = (err) => {
logger.error(
`❌ [NON-STREAM] Socket error | key: ${req.apiKey?.name}, ` +
`requestId: ${req.requestId}, error: ${err.message}`
)
}
nonStreamSocket.once('end', onSocketEnd)
nonStreamSocket.once('close', onSocketClose)
nonStreamSocket.once('error', onSocketError)
// 清理监听器(在响应结束后)
res.once('finish', () => {
nonStreamSocket.removeListener('end', onSocketEnd)
nonStreamSocket.removeListener('close', onSocketClose)
nonStreamSocket.removeListener('error', onSocketError)
})
}
// 生成会话哈希用于sticky会话 // 生成会话哈希用于sticky会话
const sessionHash = sessionHelper.generateSessionHash(req.body) const sessionHash = sessionHelper.generateSessionHash(req.body)
// 🔒 全局会话绑定验证(非流式)
let forcedAccountNonStream = null
let needSessionBindingNonStream = false
let originalSessionIdForBindingNonStream = null
try {
const globalBindingEnabled = await claudeRelayConfigService.isGlobalSessionBindingEnabled()
if (globalBindingEnabled) {
const originalSessionId = claudeRelayConfigService.extractOriginalSessionId(req.body)
if (originalSessionId) {
const validation = await claudeRelayConfigService.validateNewSession(
req.body,
originalSessionId
)
if (!validation.valid) {
logger.api(
`❌ Session binding validation failed (non-stream): ${validation.code} for session ${originalSessionId}`
)
return res.status(403).json({
error: {
type: 'session_binding_error',
message: validation.error
}
})
}
if (validation.binding) {
forcedAccountNonStream = validation.binding
logger.api(
`🔗 Using bound account for session (non-stream) ${originalSessionId}: ${forcedAccountNonStream.accountId}`
)
}
if (validation.isNewSession) {
needSessionBindingNonStream = true
originalSessionIdForBindingNonStream = originalSessionId
logger.api(
`📝 New session detected (non-stream), will create binding: ${originalSessionId}`
)
}
}
}
} catch (error) {
logger.error('❌ Error in global session binding check (non-stream):', error)
}
// 使用统一调度选择账号(传递请求的模型) // 使用统一调度选择账号(传递请求的模型)
const requestedModel = req.body.model const requestedModel = req.body.model
let accountId let accountId
@@ -511,10 +802,20 @@ async function handleMessagesRequest(req, res) {
const selection = await unifiedClaudeScheduler.selectAccountForApiKey( const selection = await unifiedClaudeScheduler.selectAccountForApiKey(
req.apiKey, req.apiKey,
sessionHash, sessionHash,
requestedModel requestedModel,
forcedAccountNonStream
) )
;({ accountId, accountType } = selection) ;({ accountId, accountType } = selection)
} catch (error) { } catch (error) {
if (error.code === 'SESSION_BINDING_ACCOUNT_UNAVAILABLE') {
const errorMessage = await claudeRelayConfigService.getSessionBindingErrorMessage()
return res.status(403).json({
error: {
type: 'session_binding_error',
message: errorMessage
}
})
}
if (error.code === 'CLAUDE_DEDICATED_RATE_LIMITED') { if (error.code === 'CLAUDE_DEDICATED_RATE_LIMITED') {
const limitMessage = claudeRelayService._buildStandardRateLimitMessage( const limitMessage = claudeRelayService._buildStandardRateLimitMessage(
error.rateLimitEndAt error.rateLimitEndAt
@@ -527,6 +828,40 @@ async function handleMessagesRequest(req, res) {
throw error throw error
} }
// 🔗 在成功调度后建立会话绑定(非流式,仅 claude-official 类型)
// claude-official 只接受1) 新会话 2) 已绑定的会话
if (
needSessionBindingNonStream &&
originalSessionIdForBindingNonStream &&
accountId &&
accountType === 'claude-official'
) {
// 🚫 检测旧会话(污染的会话)
if (isOldSession(req.body)) {
const cfg = await claudeRelayConfigService.getConfig()
logger.warn(
`🚫 Old session rejected (non-stream): sessionId=${originalSessionIdForBindingNonStream}, messages.length=${req.body?.messages?.length}, tools.length=${req.body?.tools?.length || 0}, isOldSession=true`
)
return res.status(400).json({
error: {
type: 'session_binding_error',
message: cfg.sessionBindingErrorMessage || '你的本地session已污染请清理后使用。'
}
})
}
// 创建绑定
try {
await claudeRelayConfigService.setOriginalSessionBinding(
originalSessionIdForBindingNonStream,
accountId,
accountType
)
} catch (bindingError) {
logger.warn(`⚠️ Failed to create session binding (non-stream):`, bindingError)
}
}
// 根据账号类型选择对应的转发服务 // 根据账号类型选择对应的转发服务
let response let response
logger.debug(`[DEBUG] Request query params: ${JSON.stringify(req.query)}`) logger.debug(`[DEBUG] Request query params: ${JSON.stringify(req.query)}`)
@@ -611,6 +946,15 @@ async function handleMessagesRequest(req, res) {
bodyLength: response.body ? response.body.length : 0 bodyLength: response.body ? response.body.length : 0
}) })
// 🔍 检查客户端连接是否仍然有效
// 在长时间请求过程中,客户端可能已经断开连接(超时、用户取消等)
if (res.destroyed || res.socket?.destroyed || res.writableEnded) {
logger.warn(
`⚠️ Client disconnected before non-stream response could be sent for key: ${req.apiKey?.name || 'unknown'}`
)
return undefined
}
res.status(response.statusCode) res.status(response.statusCode)
// 设置响应头,避免 Content-Length 和 Transfer-Encoding 冲突 // 设置响应头,避免 Content-Length 和 Transfer-Encoding 冲突
@@ -676,10 +1020,12 @@ async function handleMessagesRequest(req, res) {
logger.warn('⚠️ No usage data found in Claude API JSON response') logger.warn('⚠️ No usage data found in Claude API JSON response')
} }
// 使用 Express 内建的 res.json() 发送响应(简单可靠)
res.json(jsonData) res.json(jsonData)
} catch (parseError) { } catch (parseError) {
logger.warn('⚠️ Failed to parse Claude API response as JSON:', parseError.message) logger.warn('⚠️ Failed to parse Claude API response as JSON:', parseError.message)
logger.info('📄 Raw response body:', response.body) logger.info('📄 Raw response body:', response.body)
// 使用 Express 内建的 res.send() 发送响应(简单可靠)
res.send(response.body) res.send(response.body)
} }
@@ -966,6 +1312,41 @@ router.post('/v1/messages/count_tokens', authenticateApiKey, async (req, res) =>
}) })
} }
// 🔗 会话绑定验证(与 messages 端点保持一致)
const originalSessionId = claudeRelayConfigService.extractOriginalSessionId(req.body)
const sessionValidation = await claudeRelayConfigService.validateNewSession(
req.body,
originalSessionId
)
if (!sessionValidation.valid) {
logger.warn(
`🚫 Session binding validation failed (count_tokens): ${sessionValidation.code} for session ${originalSessionId}`
)
return res.status(400).json({
error: {
type: 'session_binding_error',
message: sessionValidation.error
}
})
}
// 🔗 检测旧会话(污染的会话)- 仅对需要绑定的新会话检查
if (sessionValidation.isNewSession && originalSessionId) {
if (isOldSession(req.body)) {
const cfg = await claudeRelayConfigService.getConfig()
logger.warn(
`🚫 Old session rejected (count_tokens): sessionId=${originalSessionId}, messages.length=${req.body?.messages?.length}, tools.length=${req.body?.tools?.length || 0}, isOldSession=true`
)
return res.status(400).json({
error: {
type: 'session_binding_error',
message: cfg.sessionBindingErrorMessage || '你的本地session已污染请清理后使用。'
}
})
}
}
logger.info(`🔢 Processing token count request for key: ${req.apiKey.name}`) logger.info(`🔢 Processing token count request for key: ${req.apiKey.name}`)
const sessionHash = sessionHelper.generateSessionHash(req.body) const sessionHash = sessionHelper.generateSessionHash(req.body)

View File

@@ -6,6 +6,7 @@ const {
const { fromEnv } = require('@aws-sdk/credential-providers') const { fromEnv } = require('@aws-sdk/credential-providers')
const logger = require('../utils/logger') const logger = require('../utils/logger')
const config = require('../../config/config') const config = require('../../config/config')
const userMessageQueueService = require('./userMessageQueueService')
class BedrockRelayService { class BedrockRelayService {
constructor() { constructor() {
@@ -69,7 +70,68 @@ class BedrockRelayService {
// 处理非流式请求 // 处理非流式请求
async handleNonStreamRequest(requestBody, bedrockAccount = null) { async handleNonStreamRequest(requestBody, bedrockAccount = null) {
const accountId = bedrockAccount?.id
let queueLockAcquired = false
let queueRequestId = null
try { try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in Bedrock handleNonStreamRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for Bedrock account ${accountId}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
success: false
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for Bedrock account ${accountId}, requestId: ${queueRequestId}`
)
}
}
const modelId = this._selectModel(requestBody, bedrockAccount) const modelId = this._selectModel(requestBody, bedrockAccount)
const region = this._selectRegion(modelId, bedrockAccount) const region = this._selectRegion(modelId, bedrockAccount)
const client = this._getBedrockClient(region, bedrockAccount) const client = this._getBedrockClient(region, bedrockAccount)
@@ -90,6 +152,23 @@ class BedrockRelayService {
const response = await client.send(command) const response = await client.send(command)
const duration = Date.now() - startTime const duration = Date.now() - startTime
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for Bedrock account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for Bedrock account ${accountId}:`,
releaseError.message
)
}
}
// 解析响应 // 解析响应
const responseBody = JSON.parse(new TextDecoder().decode(response.body)) const responseBody = JSON.parse(new TextDecoder().decode(response.body))
const claudeResponse = this._convertFromBedrockFormat(responseBody) const claudeResponse = this._convertFromBedrockFormat(responseBody)
@@ -106,12 +185,94 @@ class BedrockRelayService {
} catch (error) { } catch (error) {
logger.error('❌ Bedrock非流式请求失败:', error) logger.error('❌ Bedrock非流式请求失败:', error)
throw this._handleBedrockError(error) throw this._handleBedrockError(error)
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for Bedrock account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for Bedrock account ${accountId}:`,
releaseError.message
)
}
}
} }
} }
// 处理流式请求 // 处理流式请求
async handleStreamRequest(requestBody, bedrockAccount = null, res) { async handleStreamRequest(requestBody, bedrockAccount = null, res) {
const accountId = bedrockAccount?.id
let queueLockAcquired = false
let queueRequestId = null
try { try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in Bedrock handleStreamRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for Bedrock account ${accountId} (stream)`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!res.headersSent) {
const existingConnection = res.getHeader ? res.getHeader('Connection') : null
res.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
})}\n\n`
res.write(errorEvent)
res.write('data: [DONE]\n\n')
res.end()
return { success: false, error: errorType }
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for Bedrock account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
const modelId = this._selectModel(requestBody, bedrockAccount) const modelId = this._selectModel(requestBody, bedrockAccount)
const region = this._selectRegion(modelId, bedrockAccount) const region = this._selectRegion(modelId, bedrockAccount)
const client = this._getBedrockClient(region, bedrockAccount) const client = this._getBedrockClient(region, bedrockAccount)
@@ -131,11 +292,35 @@ class BedrockRelayService {
const startTime = Date.now() const startTime = Date.now()
const response = await client.send(command) const response = await client.send(command)
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for Bedrock stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for Bedrock stream account ${accountId}:`,
releaseError.message
)
}
}
// 设置SSE响应头 // 设置SSE响应头
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
const existingConnection = res.getHeader ? res.getHeader('Connection') : null
if (existingConnection) {
logger.debug(
`🔌 [Bedrock Stream] Preserving existing Connection header: ${existingConnection}`
)
}
res.writeHead(200, { res.writeHead(200, {
'Content-Type': 'text/event-stream', 'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive', Connection: existingConnection || 'keep-alive',
'Access-Control-Allow-Origin': '*', 'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': 'Content-Type, Authorization' 'Access-Control-Allow-Headers': 'Content-Type, Authorization'
}) })
@@ -191,6 +376,21 @@ class BedrockRelayService {
res.end() res.end()
throw this._handleBedrockError(error) throw this._handleBedrockError(error)
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for Bedrock stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for Bedrock stream account ${accountId}:`,
releaseError.message
)
}
}
} }
} }

View File

@@ -3,6 +3,8 @@ const ccrAccountService = require('./ccrAccountService')
const logger = require('../utils/logger') const logger = require('../utils/logger')
const config = require('../../config/config') const config = require('../../config/config')
const { parseVendorPrefixedModel } = require('../utils/modelHelper') const { parseVendorPrefixedModel } = require('../utils/modelHelper')
const userMessageQueueService = require('./userMessageQueueService')
const { isStreamWritable } = require('../utils/streamHelper')
class CcrRelayService { class CcrRelayService {
constructor() { constructor() {
@@ -21,8 +23,67 @@ class CcrRelayService {
) { ) {
let abortController = null let abortController = null
let account = null let account = null
let queueLockAcquired = false
let queueRequestId = null
try { try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in CCR relayRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for CCR account ${accountId}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
accountId
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for CCR account ${accountId}, requestId: ${queueRequestId}`
)
}
}
// 获取账户信息 // 获取账户信息
account = await ccrAccountService.getAccount(accountId) account = await ccrAccountService.getAccount(accountId)
if (!account) { if (!account) {
@@ -162,6 +223,23 @@ class CcrRelayService {
) )
const response = await axios(requestConfig) const response = await axios(requestConfig)
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为 Claude API 限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for CCR account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for CCR account ${accountId}:`,
releaseError.message
)
}
}
// 移除监听器(请求成功完成) // 移除监听器(请求成功完成)
if (clientRequest) { if (clientRequest) {
clientRequest.removeListener('close', handleClientDisconnect) clientRequest.removeListener('close', handleClientDisconnect)
@@ -233,6 +311,21 @@ class CcrRelayService {
) )
throw error throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for CCR account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for CCR account ${accountId}:`,
releaseError.message
)
}
}
} }
} }
@@ -248,7 +341,77 @@ class CcrRelayService {
options = {} options = {}
) { ) {
let account = null let account = null
let queueLockAcquired = false
let queueRequestId = null
try { try {
// 📬 用户消息队列处理
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error(
'❌ accountId missing for queue lock in CCR relayStreamRequestWithUsageCapture'
)
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志用于后续<E5908E><E7BBAD>
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for CCR account ${accountId} (stream)`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
})}\n\n`
responseStream.write(errorEvent)
responseStream.write('data: [DONE]\n\n')
responseStream.end()
return
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for CCR account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
// 获取账户信息 // 获取账户信息
account = await ccrAccountService.getAccount(accountId) account = await ccrAccountService.getAccount(accountId)
if (!account) { if (!account) {
@@ -296,14 +459,53 @@ class CcrRelayService {
accountId, accountId,
usageCallback, usageCallback,
streamTransformer, streamTransformer,
options options,
// 📬 回调:在收到响应头时释放队列锁
async () => {
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for CCR stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for CCR stream account ${accountId}:`,
releaseError.message
)
}
}
}
) )
// 更新最后使用时间 // 更新最后使用时间
await this._updateLastUsedTime(accountId) await this._updateLastUsedTime(accountId)
} catch (error) { } catch (error) {
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(
`🔌 CCR stream relay ended: Client disconnected (Account: ${account?.name || accountId})`
)
} else {
logger.error(`❌ CCR stream relay failed (Account: ${account?.name || accountId}):`, error) logger.error(`❌ CCR stream relay failed (Account: ${account?.name || accountId}):`, error)
}
throw error throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在收到响应头后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for CCR stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for CCR stream account ${accountId}:`,
releaseError.message
)
}
}
} }
} }
@@ -317,7 +519,8 @@ class CcrRelayService {
accountId, accountId,
usageCallback, usageCallback,
streamTransformer = null, streamTransformer = null,
requestOptions = {} requestOptions = {},
onResponseHeaderReceived = null
) { ) {
return new Promise((resolve, reject) => { return new Promise((resolve, reject) => {
let aborted = false let aborted = false
@@ -380,8 +583,11 @@ class CcrRelayService {
// 发送请求 // 发送请求
const request = axios(requestConfig) const request = axios(requestConfig)
// 注意:使用 .then(async ...) 模式处理响应
// - 内部的 releaseQueueLock 有独立的 try-catch不会导致未捕获异常
// - queueLockAcquired = false 的赋值会在 finally 执行前完成JS 单线程保证)
request request
.then((response) => { .then(async (response) => {
logger.debug(`🌊 CCR stream response status: ${response.status}`) logger.debug(`🌊 CCR stream response status: ${response.status}`)
// 错误响应处理 // 错误响应处理
@@ -404,10 +610,13 @@ class CcrRelayService {
// 设置错误响应的状态码和响应头 // 设置错误响应的状态码和响应头
if (!responseStream.headersSent) { if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
const errorHeaders = { const errorHeaders = {
'Content-Type': response.headers['content-type'] || 'application/json', 'Content-Type': response.headers['content-type'] || 'application/json',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive' Connection: existingConnection || 'keep-alive'
} }
// 避免 Transfer-Encoding 冲突,让 Express 自动处理 // 避免 Transfer-Encoding 冲突,让 Express 自动处理
delete errorHeaders['Transfer-Encoding'] delete errorHeaders['Transfer-Encoding']
@@ -417,13 +626,13 @@ class CcrRelayService {
// 直接透传错误数据,不进行包装 // 直接透传错误数据,不进行包装
response.data.on('data', (chunk) => { response.data.on('data', (chunk) => {
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.write(chunk) responseStream.write(chunk)
} }
}) })
response.data.on('end', () => { response.data.on('end', () => {
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.end() responseStream.end()
} }
resolve() // 不抛出异常,正常完成流处理 resolve() // 不抛出异常,正常完成流处理
@@ -431,6 +640,19 @@ class CcrRelayService {
return return
} }
// 📬 收到成功响应头HTTP 200调用回调释放队列锁
// 此时请求已被 Claude API 接受并计入 RPM 配额,无需等待响应完成
if (onResponseHeaderReceived && typeof onResponseHeaderReceived === 'function') {
try {
await onResponseHeaderReceived()
} catch (callbackError) {
logger.error(
`❌ Failed to execute onResponseHeaderReceived callback for CCR stream account ${accountId}:`,
callbackError.message
)
}
}
// 成功响应,检查并移除错误状态 // 成功响应,检查并移除错误状态
ccrAccountService.isAccountRateLimited(accountId).then((isRateLimited) => { ccrAccountService.isAccountRateLimited(accountId).then((isRateLimited) => {
if (isRateLimited) { if (isRateLimited) {
@@ -444,11 +666,20 @@ class CcrRelayService {
}) })
// 设置响应头 // 设置响应头
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
if (!responseStream.headersSent) { if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
if (existingConnection) {
logger.debug(
`🔌 [CCR Stream] Preserving existing Connection header: ${existingConnection}`
)
}
const headers = { const headers = {
'Content-Type': 'text/event-stream', 'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive', Connection: existingConnection || 'keep-alive',
'Access-Control-Allow-Origin': '*', 'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': 'Cache-Control' 'Access-Control-Allow-Headers': 'Cache-Control'
} }
@@ -487,12 +718,17 @@ class CcrRelayService {
} }
// 写入到响应流 // 写入到响应流
if (outputLine && !responseStream.destroyed) { if (outputLine && isStreamWritable(responseStream)) {
responseStream.write(`${outputLine}\n`) responseStream.write(`${outputLine}\n`)
} else if (outputLine) {
// 客户端连接已断开,记录警告
logger.warn(
`⚠️ [CCR] Client disconnected during stream, skipping data for account: ${accountId}`
)
} }
} else { } else {
// 空行也需要传递 // 空行也需要传递
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.write('\n') responseStream.write('\n')
} }
} }
@@ -503,10 +739,6 @@ class CcrRelayService {
}) })
response.data.on('end', () => { response.data.on('end', () => {
if (!responseStream.destroyed) {
responseStream.end()
}
// 如果收集到使用统计数据,调用回调 // 如果收集到使用统计数据,调用回调
if (usageCallback && Object.keys(collectedUsage).length > 0) { if (usageCallback && Object.keys(collectedUsage).length > 0) {
try { try {
@@ -518,12 +750,26 @@ class CcrRelayService {
} }
} }
if (isStreamWritable(responseStream)) {
// 等待数据完全 flush 到客户端后再 resolve
responseStream.end(() => {
logger.debug(
`🌊 CCR stream response completed and flushed | bytesWritten: ${responseStream.bytesWritten || 'unknown'}`
)
resolve() resolve()
}) })
} else {
// 连接已断开,记录警告
logger.warn(
`⚠️ [CCR] Client disconnected before stream end, data may not have been received | account: ${accountId}`
)
resolve()
}
})
response.data.on('error', (err) => { response.data.on('error', (err) => {
logger.error('❌ Stream data error:', err) logger.error('❌ Stream data error:', err)
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.end() responseStream.end()
} }
reject(err) reject(err)
@@ -555,7 +801,7 @@ class CcrRelayService {
} }
} }
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.write(`data: ${JSON.stringify(errorResponse)}\n\n`) responseStream.write(`data: ${JSON.stringify(errorResponse)}\n\n`)
responseStream.end() responseStream.end()
} }

View File

@@ -9,6 +9,9 @@ const {
sanitizeErrorMessage, sanitizeErrorMessage,
isAccountDisabledError isAccountDisabledError
} = require('../utils/errorSanitizer') } = require('../utils/errorSanitizer')
const userMessageQueueService = require('./userMessageQueueService')
const { isStreamWritable } = require('../utils/streamHelper')
const { filterForClaude } = require('../utils/headerFilter')
class ClaudeConsoleRelayService { class ClaudeConsoleRelayService {
constructor() { constructor() {
@@ -29,8 +32,68 @@ class ClaudeConsoleRelayService {
let account = null let account = null
const requestId = uuidv4() // 用于并发追踪 const requestId = uuidv4() // 用于并发追踪
let concurrencyAcquired = false let concurrencyAcquired = false
let queueLockAcquired = false
let queueRequestId = null
try { try {
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in console relayRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for console account ${accountId}, key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
accountId
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for console account ${accountId}, requestId: ${queueRequestId}`
)
}
}
// 获取账户信息 // 获取账户信息
account = await claudeConsoleAccountService.getAccount(accountId) account = await claudeConsoleAccountService.getAccount(accountId)
if (!account) { if (!account) {
@@ -203,6 +266,23 @@ class ClaudeConsoleRelayService {
) )
const response = await axios(requestConfig) const response = await axios(requestConfig)
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为 Claude API 限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for console account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for console account ${accountId}:`,
releaseError.message
)
}
}
// 移除监听器(请求成功完成) // 移除监听器(请求成功完成)
if (clientRequest) { if (clientRequest) {
clientRequest.removeListener('close', handleClientDisconnect) clientRequest.removeListener('close', handleClientDisconnect)
@@ -366,6 +446,21 @@ class ClaudeConsoleRelayService {
) )
} }
} }
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for console account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for account ${accountId}:`,
releaseError.message
)
}
}
} }
} }
@@ -384,8 +479,71 @@ class ClaudeConsoleRelayService {
const requestId = uuidv4() // 用于并发追踪 const requestId = uuidv4() // 用于并发追踪
let concurrencyAcquired = false let concurrencyAcquired = false
let leaseRefreshInterval = null // 租约刷新定时器 let leaseRefreshInterval = null // 租约刷新定时器
let queueLockAcquired = false
let queueRequestId = null
try { try {
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error(
'❌ accountId missing for queue lock in console relayStreamRequestWithUsageCapture'
)
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for console account ${accountId} (stream), key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({ type: 'error', error: { type: errorType, code: errorCode, message: errorMessage } })}\n\n`
responseStream.write(errorEvent)
responseStream.write('data: [DONE]\n\n')
responseStream.end()
return
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for console account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
// 获取账户信息 // 获取账户信息
account = await claudeConsoleAccountService.getAccount(accountId) account = await claudeConsoleAccountService.getAccount(accountId)
if (!account) { if (!account) {
@@ -483,16 +641,40 @@ class ClaudeConsoleRelayService {
accountId, accountId,
usageCallback, usageCallback,
streamTransformer, streamTransformer,
options options,
// 📬 回调:在收到响应头时释放队列锁
async () => {
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for console stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for console stream account ${accountId}:`,
releaseError.message
)
}
}
}
) )
// 更新最后使用时间 // 更新最后使用时间
await this._updateLastUsedTime(accountId) await this._updateLastUsedTime(accountId)
} catch (error) { } catch (error) {
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(
`🔌 Claude Console stream relay ended: Client disconnected (Account: ${account?.name || accountId})`
)
} else {
logger.error( logger.error(
`❌ Claude Console stream relay failed (Account: ${account?.name || accountId}):`, `❌ Claude Console stream relay failed (Account: ${account?.name || accountId}):`,
error error
) )
}
throw error throw error
} finally { } finally {
// 🛑 清理租约刷新定时器 // 🛑 清理租约刷新定时器
@@ -517,6 +699,21 @@ class ClaudeConsoleRelayService {
) )
} }
} }
// 📬 释放用户消息队列锁(兜底,正常情况下已在收到响应头后提前释放)
if (queueLockAcquired && queueRequestId && accountId) {
try {
await userMessageQueueService.releaseQueueLock(accountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for console stream account ${accountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for stream account ${accountId}:`,
releaseError.message
)
}
}
} }
} }
@@ -530,7 +727,8 @@ class ClaudeConsoleRelayService {
accountId, accountId,
usageCallback, usageCallback,
streamTransformer = null, streamTransformer = null,
requestOptions = {} requestOptions = {},
onResponseHeaderReceived = null
) { ) {
return new Promise((resolve, reject) => { return new Promise((resolve, reject) => {
let aborted = false let aborted = false
@@ -593,8 +791,11 @@ class ClaudeConsoleRelayService {
// 发送请求 // 发送请求
const request = axios(requestConfig) const request = axios(requestConfig)
// 注意:使用 .then(async ...) 模式处理响应
// - 内部的 releaseQueueLock 有独立的 try-catch不会导致未捕获异常
// - queueLockAcquired = false 的赋值会在 finally 执行前完成JS 单线程保证)
request request
.then((response) => { .then(async (response) => {
logger.debug(`🌊 Claude Console Claude stream response status: ${response.status}`) logger.debug(`🌊 Claude Console Claude stream response status: ${response.status}`)
// 错误响应处理 // 错误响应处理
@@ -682,7 +883,7 @@ class ClaudeConsoleRelayService {
`🧹 [Stream] [SANITIZED] Error response to client: ${JSON.stringify(sanitizedError)}` `🧹 [Stream] [SANITIZED] Error response to client: ${JSON.stringify(sanitizedError)}`
) )
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.write(JSON.stringify(sanitizedError)) responseStream.write(JSON.stringify(sanitizedError))
responseStream.end() responseStream.end()
} }
@@ -690,7 +891,7 @@ class ClaudeConsoleRelayService {
const sanitizedText = sanitizeErrorMessage(errorDataForCheck) const sanitizedText = sanitizeErrorMessage(errorDataForCheck)
logger.error(`🧹 [Stream] [SANITIZED] Error response to client: ${sanitizedText}`) logger.error(`🧹 [Stream] [SANITIZED] Error response to client: ${sanitizedText}`)
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.write(sanitizedText) responseStream.write(sanitizedText)
responseStream.end() responseStream.end()
} }
@@ -701,6 +902,19 @@ class ClaudeConsoleRelayService {
return return
} }
// 📬 收到成功响应头HTTP 200调用回调释放队列锁
// 此时请求已被 Claude API 接受并计入 RPM 配额,无需等待响应完成
if (onResponseHeaderReceived && typeof onResponseHeaderReceived === 'function') {
try {
await onResponseHeaderReceived()
} catch (callbackError) {
logger.error(
`❌ Failed to execute onResponseHeaderReceived callback for console stream account ${accountId}:`,
callbackError.message
)
}
}
// 成功响应,检查并移除错误状态 // 成功响应,检查并移除错误状态
claudeConsoleAccountService.isAccountRateLimited(accountId).then((isRateLimited) => { claudeConsoleAccountService.isAccountRateLimited(accountId).then((isRateLimited) => {
if (isRateLimited) { if (isRateLimited) {
@@ -714,11 +928,22 @@ class ClaudeConsoleRelayService {
}) })
// 设置响应头 // 设置响应头
// ⚠️ 关键修复:尊重 auth.js 提前设置的 Connection: close
// 当并发队列功能启用时auth.js 会设置 Connection: close 来禁用 Keep-Alive
if (!responseStream.headersSent) { if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
const connectionHeader = existingConnection || 'keep-alive'
if (existingConnection) {
logger.debug(
`🔌 [Console Stream] Preserving existing Connection header: ${existingConnection}`
)
}
responseStream.writeHead(200, { responseStream.writeHead(200, {
'Content-Type': 'text/event-stream', 'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive', Connection: connectionHeader,
'X-Accel-Buffering': 'no' 'X-Accel-Buffering': 'no'
}) })
} }
@@ -744,20 +969,33 @@ class ClaudeConsoleRelayService {
buffer = lines.pop() || '' buffer = lines.pop() || ''
// 转发数据并解析usage // 转发数据并解析usage
if (lines.length > 0 && !responseStream.destroyed) { if (lines.length > 0) {
// 检查流是否可写(客户端连接是否有效)
if (isStreamWritable(responseStream)) {
const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '') const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '')
// 应用流转换器如果有 // 应用流转换器如果有
let dataToWrite = linesToForward
if (streamTransformer) { if (streamTransformer) {
const transformed = streamTransformer(linesToForward) const transformed = streamTransformer(linesToForward)
if (transformed) { if (transformed) {
responseStream.write(transformed) dataToWrite = transformed
}
} else { } else {
responseStream.write(linesToForward) dataToWrite = null
}
} }
// 解析SSE数据寻找usage信息 if (dataToWrite) {
responseStream.write(dataToWrite)
}
} else {
// 客户端连接已断开记录警告但仍继续解析usage
logger.warn(
`⚠️ [Console] Client disconnected during stream, skipping ${lines.length} lines for account: ${account?.name || accountId}`
)
}
// 解析SSE数据寻找usage信息无论连接状态如何
for (const line of lines) { for (const line of lines) {
if (line.startsWith('data:')) { if (line.startsWith('data:')) {
const jsonStr = line.slice(5).trimStart() const jsonStr = line.slice(5).trimStart()
@@ -865,7 +1103,7 @@ class ClaudeConsoleRelayService {
`❌ Error processing Claude Console stream data (Account: ${account?.name || accountId}):`, `❌ Error processing Claude Console stream data (Account: ${account?.name || accountId}):`,
error error
) )
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
// 如果有 streamTransformer如测试请求使用前端期望的格式 // 如果有 streamTransformer如测试请求使用前端期望的格式
if (streamTransformer) { if (streamTransformer) {
responseStream.write( responseStream.write(
@@ -888,7 +1126,7 @@ class ClaudeConsoleRelayService {
response.data.on('end', () => { response.data.on('end', () => {
try { try {
// 处理缓冲区中剩余的数据 // 处理缓冲区中剩余的数据
if (buffer.trim() && !responseStream.destroyed) { if (buffer.trim() && isStreamWritable(responseStream)) {
if (streamTransformer) { if (streamTransformer) {
const transformed = streamTransformer(buffer) const transformed = streamTransformer(buffer)
if (transformed) { if (transformed) {
@@ -937,12 +1175,33 @@ class ClaudeConsoleRelayService {
} }
// 确保流正确结束 // 确保流正确结束
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.end() // 📊 诊断日志:流结束前状态
logger.info(
`📤 [STREAM] Ending response | destroyed: ${responseStream.destroyed}, ` +
`socketDestroyed: ${responseStream.socket?.destroyed}, ` +
`socketBytesWritten: ${responseStream.socket?.bytesWritten || 0}`
)
// 禁用 Nagle 算法确保数据立即发送
if (responseStream.socket && !responseStream.socket.destroyed) {
responseStream.socket.setNoDelay(true)
} }
logger.debug('🌊 Claude Console Claude stream response completed') // 等待数据完全 flush 到客户端后再 resolve
responseStream.end(() => {
logger.info(
`✅ [STREAM] Response ended and flushed | socketBytesWritten: ${responseStream.socket?.bytesWritten || 'unknown'}`
)
resolve() resolve()
})
} else {
// 连接已断开,记录警告
logger.warn(
`⚠️ [Console] Client disconnected before stream end, data may not have been received | account: ${account?.name || accountId}`
)
resolve()
}
} catch (error) { } catch (error) {
logger.error('❌ Error processing stream end:', error) logger.error('❌ Error processing stream end:', error)
reject(error) reject(error)
@@ -954,7 +1213,7 @@ class ClaudeConsoleRelayService {
`❌ Claude Console stream error (Account: ${account?.name || accountId}):`, `❌ Claude Console stream error (Account: ${account?.name || accountId}):`,
error error
) )
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
// 如果有 streamTransformer如测试请求使用前端期望的格式 // 如果有 streamTransformer如测试请求使用前端期望的格式
if (streamTransformer) { if (streamTransformer) {
responseStream.write( responseStream.write(
@@ -1002,14 +1261,17 @@ class ClaudeConsoleRelayService {
// 发送错误响应 // 发送错误响应
if (!responseStream.headersSent) { if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(error.response?.status || 500, { responseStream.writeHead(error.response?.status || 500, {
'Content-Type': 'text/event-stream', 'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive' Connection: existingConnection || 'keep-alive'
}) })
} }
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
// 如果有 streamTransformer如测试请求使用前端期望的格式 // 如果有 streamTransformer如测试请求使用前端期望的格式
if (streamTransformer) { if (streamTransformer) {
responseStream.write( responseStream.write(
@@ -1041,30 +1303,9 @@ class ClaudeConsoleRelayService {
// 🔧 过滤客户端请求头 // 🔧 过滤客户端请求头
_filterClientHeaders(clientHeaders) { _filterClientHeaders(clientHeaders) {
const sensitiveHeaders = [ // 使用统一的 headerFilter 工具类(白名单模式)
'content-type', // 与 claudeRelayService 保持一致,避免透传 CDN headers 触发上游 API 安全检查
'user-agent', return filterForClaude(clientHeaders)
'authorization',
'x-api-key',
'host',
'content-length',
'connection',
'proxy-authorization',
'content-encoding',
'transfer-encoding',
'anthropic-version'
]
const filteredHeaders = {}
Object.keys(clientHeaders || {}).forEach((key) => {
const lowerKey = key.toLowerCase()
if (!sensitiveHeaders.includes(lowerKey)) {
filteredHeaders[key] = clientHeaders[key]
}
})
return filteredHeaders
} }
// 🕐 更新最后使用时间 // 🕐 更新最后使用时间
@@ -1179,7 +1420,7 @@ class ClaudeConsoleRelayService {
'Cache-Control': 'no-cache' 'Cache-Control': 'no-cache'
}) })
} }
if (!responseStream.destroyed && !responseStream.writableEnded) { if (isStreamWritable(responseStream)) {
responseStream.write( responseStream.write(
`data: ${JSON.stringify({ type: 'test_complete', success: false, error: error.message })}\n\n` `data: ${JSON.stringify({ type: 'test_complete', success: false, error: error.message })}\n\n`
) )

View File

@@ -0,0 +1,453 @@
/**
* Claude 转发配置服务
* 管理全局 Claude Code 限制和会话绑定配置
*/
const redis = require('../models/redis')
const logger = require('../utils/logger')
const CONFIG_KEY = 'claude_relay_config'
const SESSION_BINDING_PREFIX = 'original_session_binding:'
// 默认配置
const DEFAULT_CONFIG = {
claudeCodeOnlyEnabled: false,
globalSessionBindingEnabled: false,
sessionBindingErrorMessage: '你的本地session已污染请清理后使用。',
sessionBindingTtlDays: 30, // 会话绑定 TTL默认30天
// 用户消息队列配置
userMessageQueueEnabled: false, // 是否启用用户消息队列(默认关闭)
userMessageQueueDelayMs: 200, // 请求间隔(毫秒)
userMessageQueueTimeoutMs: 5000, // 队列等待超时(毫秒),优化后锁持有时间短无需长等待
userMessageQueueLockTtlMs: 5000, // 锁TTL毫秒请求发送后立即释放无需长TTL
// 并发请求排队配置
concurrentRequestQueueEnabled: false, // 是否启用并发请求排队(默认关闭)
concurrentRequestQueueMaxSize: 3, // 固定最小排队数默认3
concurrentRequestQueueMaxSizeMultiplier: 0, // 并发数的倍数默认0仅使用固定值
concurrentRequestQueueTimeoutMs: 10000, // 排队超时毫秒默认10秒
concurrentRequestQueueMaxRedisFailCount: 5, // 连续 Redis 失败阈值默认5次
// 排队健康检查配置
concurrentRequestQueueHealthCheckEnabled: true, // 是否启用排队健康检查(默认开启)
concurrentRequestQueueHealthThreshold: 0.8, // 健康检查阈值P90 >= 超时 × 阈值时拒绝新请求)
updatedAt: null,
updatedBy: null
}
// 内存缓存(避免频繁 Redis 查询)
let configCache = null
let configCacheTime = 0
const CONFIG_CACHE_TTL = 60000 // 1分钟缓存
class ClaudeRelayConfigService {
/**
* 从 metadata.user_id 中提取原始 sessionId
* 格式: user_{64位十六进制}_account__session_{uuid}
* @param {Object} requestBody - 请求体
* @returns {string|null} 原始 sessionId 或 null
*/
extractOriginalSessionId(requestBody) {
if (!requestBody?.metadata?.user_id) {
return null
}
const userId = requestBody.metadata.user_id
const match = userId.match(/session_([a-f0-9-]{36})$/i)
return match ? match[1] : null
}
/**
* 获取配置(带缓存)
* @returns {Promise<Object>} 配置对象
*/
async getConfig() {
try {
// 检查缓存
if (configCache && Date.now() - configCacheTime < CONFIG_CACHE_TTL) {
return configCache
}
const client = redis.getClient()
if (!client) {
logger.warn('⚠️ Redis not connected, using default config')
return { ...DEFAULT_CONFIG }
}
const data = await client.get(CONFIG_KEY)
if (data) {
configCache = { ...DEFAULT_CONFIG, ...JSON.parse(data) }
} else {
configCache = { ...DEFAULT_CONFIG }
}
configCacheTime = Date.now()
return configCache
} catch (error) {
logger.error('❌ Failed to get Claude relay config:', error)
return { ...DEFAULT_CONFIG }
}
}
/**
* 更新配置
* @param {Object} newConfig - 新配置
* @param {string} updatedBy - 更新者
* @returns {Promise<Object>} 更新后的配置
*/
async updateConfig(newConfig, updatedBy) {
try {
const client = redis.getClientSafe()
const currentConfig = await this.getConfig()
const updatedConfig = {
...currentConfig,
...newConfig,
updatedAt: new Date().toISOString(),
updatedBy
}
await client.set(CONFIG_KEY, JSON.stringify(updatedConfig))
// 更新缓存
configCache = updatedConfig
configCacheTime = Date.now()
logger.info(`✅ Claude relay config updated by ${updatedBy}:`, {
claudeCodeOnlyEnabled: updatedConfig.claudeCodeOnlyEnabled,
globalSessionBindingEnabled: updatedConfig.globalSessionBindingEnabled,
concurrentRequestQueueEnabled: updatedConfig.concurrentRequestQueueEnabled
})
return updatedConfig
} catch (error) {
logger.error('❌ Failed to update Claude relay config:', error)
throw error
}
}
/**
* 检查是否启用全局 Claude Code 限制
* @returns {Promise<boolean>}
*/
async isClaudeCodeOnlyEnabled() {
const cfg = await this.getConfig()
return cfg.claudeCodeOnlyEnabled === true
}
/**
* 检查是否启用全局会话绑定
* @returns {Promise<boolean>}
*/
async isGlobalSessionBindingEnabled() {
const cfg = await this.getConfig()
return cfg.globalSessionBindingEnabled === true
}
/**
* 获取会话绑定错误信息
* @returns {Promise<string>}
*/
async getSessionBindingErrorMessage() {
const cfg = await this.getConfig()
return cfg.sessionBindingErrorMessage || DEFAULT_CONFIG.sessionBindingErrorMessage
}
/**
* 获取原始会话绑定
* @param {string} originalSessionId - 原始会话ID
* @returns {Promise<Object|null>} 绑定信息或 null
*/
async getOriginalSessionBinding(originalSessionId) {
if (!originalSessionId) {
return null
}
try {
const client = redis.getClient()
if (!client) {
return null
}
const key = `${SESSION_BINDING_PREFIX}${originalSessionId}`
const data = await client.get(key)
if (data) {
return JSON.parse(data)
}
return null
} catch (error) {
logger.error(`❌ Failed to get session binding for ${originalSessionId}:`, error)
return null
}
}
/**
* 设置原始会话绑定
* @param {string} originalSessionId - 原始会话ID
* @param {string} accountId - 账户ID
* @param {string} accountType - 账户类型
* @returns {Promise<Object>} 绑定信息
*/
async setOriginalSessionBinding(originalSessionId, accountId, accountType) {
if (!originalSessionId || !accountId || !accountType) {
throw new Error('Invalid parameters for session binding')
}
try {
const client = redis.getClientSafe()
const key = `${SESSION_BINDING_PREFIX}${originalSessionId}`
const binding = {
accountId,
accountType,
createdAt: new Date().toISOString(),
lastUsedAt: new Date().toISOString()
}
// 使用配置的 TTL默认30天
const cfg = await this.getConfig()
const ttlDays = cfg.sessionBindingTtlDays || DEFAULT_CONFIG.sessionBindingTtlDays
const ttlSeconds = Math.floor(ttlDays * 24 * 3600)
await client.set(key, JSON.stringify(binding), 'EX', ttlSeconds)
logger.info(
`🔗 Session binding created: ${originalSessionId} -> ${accountId} (${accountType})`
)
return binding
} catch (error) {
logger.error(`❌ Failed to set session binding for ${originalSessionId}:`, error)
throw error
}
}
/**
* 更新会话绑定的最后使用时间(续期)
* @param {string} originalSessionId - 原始会话ID
*/
async touchOriginalSessionBinding(originalSessionId) {
if (!originalSessionId) {
return
}
try {
const binding = await this.getOriginalSessionBinding(originalSessionId)
if (!binding) {
return
}
binding.lastUsedAt = new Date().toISOString()
const client = redis.getClientSafe()
const key = `${SESSION_BINDING_PREFIX}${originalSessionId}`
// 使用配置的 TTL默认30天
const cfg = await this.getConfig()
const ttlDays = cfg.sessionBindingTtlDays || DEFAULT_CONFIG.sessionBindingTtlDays
const ttlSeconds = Math.floor(ttlDays * 24 * 3600)
await client.set(key, JSON.stringify(binding), 'EX', ttlSeconds)
} catch (error) {
logger.warn(`⚠️ Failed to touch session binding for ${originalSessionId}:`, error)
}
}
/**
* 检查原始会话是否已绑定
* @param {string} originalSessionId - 原始会话ID
* @returns {Promise<boolean>}
*/
async isOriginalSessionBound(originalSessionId) {
const binding = await this.getOriginalSessionBinding(originalSessionId)
return binding !== null
}
/**
* 验证绑定的账户是否可用
* @param {Object} binding - 绑定信息
* @returns {Promise<boolean>}
*/
async validateBoundAccount(binding) {
if (!binding || !binding.accountId || !binding.accountType) {
return false
}
try {
const { accountType } = binding
const { accountId } = binding
let accountService
switch (accountType) {
case 'claude-official':
accountService = require('./claudeAccountService')
break
case 'claude-console':
accountService = require('./claudeConsoleAccountService')
break
case 'bedrock':
accountService = require('./bedrockAccountService')
break
case 'ccr':
accountService = require('./ccrAccountService')
break
default:
logger.warn(`Unknown account type for validation: ${accountType}`)
return false
}
const account = await accountService.getAccount(accountId)
// getAccount() 直接返回账户数据对象或 null不是 { success, data } 格式
if (!account) {
logger.warn(`Session binding account not found: ${accountId} (${accountType})`)
return false
}
const accountData = account
// 检查账户是否激活
if (accountData.isActive === false || accountData.isActive === 'false') {
logger.warn(
`Session binding account not active: ${accountId} (${accountType}), isActive: ${accountData.isActive}`
)
return false
}
// 检查账户状态(如果存在)
if (accountData.status && accountData.status === 'error') {
logger.warn(
`Session binding account has error status: ${accountId} (${accountType}), status: ${accountData.status}`
)
return false
}
return true
} catch (error) {
logger.error(`❌ Failed to validate bound account ${binding.accountId}:`, error)
return false
}
}
/**
* 验证新会话请求
* @param {Object} _requestBody - 请求体(预留参数,当前未使用)
* @param {string} originalSessionId - 原始会话ID
* @returns {Promise<Object>} { valid: boolean, error?: string, binding?: object, isNewSession?: boolean }
*/
async validateNewSession(_requestBody, originalSessionId) {
const cfg = await this.getConfig()
if (!cfg.globalSessionBindingEnabled) {
return { valid: true }
}
// 如果没有 sessionId跳过验证可能是非 Claude Code 客户端)
if (!originalSessionId) {
return { valid: true }
}
const existingBinding = await this.getOriginalSessionBinding(originalSessionId)
// 如果会话已存在绑定
if (existingBinding) {
// ⚠️ 只有 claude-official 类型账户受全局会话绑定限制
// 其他类型bedrock, ccr, claude-console等忽略绑定走正常调度
if (existingBinding.accountType !== 'claude-official') {
logger.info(
`🔗 Session binding ignored for non-official account type: ${existingBinding.accountType}`
)
return { valid: true }
}
const accountValid = await this.validateBoundAccount(existingBinding)
if (!accountValid) {
return {
valid: false,
error: cfg.sessionBindingErrorMessage,
code: 'SESSION_BINDING_INVALID'
}
}
// 续期
await this.touchOriginalSessionBinding(originalSessionId)
// 已有绑定,允许继续(这是正常的会话延续)
return { valid: true, binding: existingBinding }
}
// 没有绑定,是新会话
// 注意messages.length 检查在此处无法执行,因为我们不知道最终会调度到哪种账户类型
// 绑定会在调度后创建,仅针对 claude-official 账户
return { valid: true, isNewSession: true }
}
/**
* 删除原始会话绑定
* @param {string} originalSessionId - 原始会话ID
*/
async deleteOriginalSessionBinding(originalSessionId) {
if (!originalSessionId) {
return
}
try {
const client = redis.getClient()
if (!client) {
return
}
const key = `${SESSION_BINDING_PREFIX}${originalSessionId}`
await client.del(key)
logger.info(`🗑️ Session binding deleted: ${originalSessionId}`)
} catch (error) {
logger.error(`❌ Failed to delete session binding for ${originalSessionId}:`, error)
}
}
/**
* 获取会话绑定统计
* @returns {Promise<Object>}
*/
async getSessionBindingStats() {
try {
const client = redis.getClient()
if (!client) {
return { totalBindings: 0 }
}
let cursor = '0'
let count = 0
do {
const [newCursor, keys] = await client.scan(
cursor,
'MATCH',
`${SESSION_BINDING_PREFIX}*`,
'COUNT',
100
)
cursor = newCursor
count += keys.length
} while (cursor !== '0')
return {
totalBindings: count
}
} catch (error) {
logger.error('❌ Failed to get session binding stats:', error)
return { totalBindings: 0 }
}
}
/**
* 清除配置缓存(用于测试或强制刷新)
*/
clearCache() {
configCache = null
configCacheTime = 0
}
}
module.exports = new ClaudeRelayConfigService()

View File

@@ -15,10 +15,12 @@ const ClaudeCodeValidator = require('../validators/clients/claudeCodeValidator')
const { formatDateWithTimezone } = require('../utils/dateHelper') const { formatDateWithTimezone } = require('../utils/dateHelper')
const requestIdentityService = require('./requestIdentityService') const requestIdentityService = require('./requestIdentityService')
const { createClaudeTestPayload } = require('../utils/testPayloadHelper') const { createClaudeTestPayload } = require('../utils/testPayloadHelper')
const userMessageQueueService = require('./userMessageQueueService')
const { isStreamWritable } = require('../utils/streamHelper')
class ClaudeRelayService { class ClaudeRelayService {
constructor() { constructor() {
this.claudeApiUrl = config.claude.apiUrl this.claudeApiUrl = 'https://api.anthropic.com/v1/messages?beta=true'
this.apiVersion = config.claude.apiVersion this.apiVersion = config.claude.apiVersion
this.betaHeader = config.claude.betaHeader this.betaHeader = config.claude.betaHeader
this.systemPrompt = config.claude.systemPrompt this.systemPrompt = config.claude.systemPrompt
@@ -148,6 +150,9 @@ class ClaudeRelayService {
options = {} options = {}
) { ) {
let upstreamRequest = null let upstreamRequest = null
let queueLockAcquired = false
let queueRequestId = null
let selectedAccountId = null
try { try {
// 调试日志查看API Key数据 // 调试日志查看API Key数据
@@ -192,11 +197,70 @@ class ClaudeRelayService {
} }
const { accountId } = accountSelection const { accountId } = accountSelection
const { accountType } = accountSelection const { accountType } = accountSelection
selectedAccountId = accountId
logger.info( logger.info(
`📤 Processing API request for key: ${apiKeyData.name || apiKeyData.id}, account: ${accountId} (${accountType})${sessionHash ? `, session: ${sessionHash}` : ''}` `📤 Processing API request for key: ${apiKeyData.name || apiKeyData.id}, account: ${accountId} (${accountType})${sessionHash ? `, session: ${sessionHash}` : ''}`
) )
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in relayRequest')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for account ${accountId}, key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
return {
statusCode,
headers: {
'Content-Type': 'application/json',
'x-user-message-queue-error': errorType
},
body: JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
}),
accountId
}
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for account ${accountId}, requestId: ${queueRequestId}`
)
}
}
// 获取账户信息 // 获取账户信息
let account = await claudeAccountService.getAccount(accountId) let account = await claudeAccountService.getAccount(accountId)
@@ -271,6 +335,23 @@ class ClaudeRelayService {
options options
) )
// 📬 请求已发送成功,立即释放队列锁(无需等待响应处理完成)
// 因为 Claude API 限流基于请求发送时刻计算RPM不是请求完成时刻
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for account ${selectedAccountId}:`,
releaseError.message
)
}
}
response.accountId = accountId response.accountId = accountId
response.accountType = accountType response.accountType = accountType
@@ -539,6 +620,21 @@ class ClaudeRelayService {
error.message error.message
) )
throw error throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在请求发送后提前释放)
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for account ${selectedAccountId}:`,
releaseError.message
)
}
}
} }
} }
@@ -878,11 +974,104 @@ class ClaudeRelayService {
// 🔧 过滤客户端请求头 // 🔧 过滤客户端请求头
_filterClientHeaders(clientHeaders) { _filterClientHeaders(clientHeaders) {
// 使用统一的 headerFilter 工具类 - 移除 CDN、浏览器和代理相关 headers // 使用统一的 headerFilter 工具类
// 同时伪装成正常的直接客户端请求,避免触发上游 API 的安全检查 // 同时伪装成正常的直接客户端请求,避免触发上游 API 的安全检查
return filterForClaude(clientHeaders) return filterForClaude(clientHeaders)
} }
// 🔧 准备请求头和 payload抽离公共逻辑
async _prepareRequestHeadersAndPayload(
body,
clientHeaders,
accountId,
accessToken,
options = {}
) {
const { account, accountType, sessionHash, requestOptions = {}, isStream = false } = options
// 获取统一的 User-Agent
const unifiedUA = await this.captureAndGetUnifiedUserAgent(clientHeaders, account)
// 获取过滤后的客户端 headers
const filteredHeaders = this._filterClientHeaders(clientHeaders)
// 判断是否是真实的 Claude Code 请求
const isRealClaudeCode = this.isRealClaudeCodeRequest(body)
// 如果不是真实的 Claude Code 请求,需要使用从账户获取的 Claude Code headers
let finalHeaders = { ...filteredHeaders }
let requestPayload = body
if (!isRealClaudeCode) {
// 获取该账号存储的 Claude Code headers
const claudeCodeHeaders = await claudeCodeHeadersService.getAccountHeaders(accountId)
// 只添加客户端没有提供的 headers
Object.keys(claudeCodeHeaders).forEach((key) => {
const lowerKey = key.toLowerCase()
if (!finalHeaders[key] && !finalHeaders[lowerKey]) {
finalHeaders[key] = claudeCodeHeaders[key]
}
})
}
// 应用请求身份转换
const extensionResult = this._applyRequestIdentityTransform(requestPayload, finalHeaders, {
account,
accountId,
accountType,
sessionHash,
clientHeaders,
requestOptions,
isStream
})
if (extensionResult.abortResponse) {
return { abortResponse: extensionResult.abortResponse }
}
requestPayload = extensionResult.body
finalHeaders = extensionResult.headers
// 序列化请求体,计算 content-length
const bodyString = JSON.stringify(requestPayload)
const contentLength = Buffer.byteLength(bodyString, 'utf8')
// 构建最终请求头包含认证、版本、User-Agent、Beta 等)
const headers = {
host: 'api.anthropic.com',
connection: 'keep-alive',
'content-type': 'application/json',
'content-length': String(contentLength),
authorization: `Bearer ${accessToken}`,
'anthropic-version': this.apiVersion,
...finalHeaders
}
// 使用统一 User-Agent 或客户端提供的,最后使用默认值
const userAgent = unifiedUA || headers['user-agent'] || 'claude-cli/1.0.119 (external, cli)'
const acceptHeader = headers['accept'] || 'application/json'
delete headers['user-agent']
delete headers['accept']
headers['User-Agent'] = userAgent
headers['Accept'] = acceptHeader
logger.info(`🔗 指纹是这个: ${headers['User-Agent']}`)
logger.info(`🔗 指纹是这个: ${headers['User-Agent']}`)
// 根据模型和客户端传递的 anthropic-beta 动态设置 header
const modelId = requestPayload?.model || body?.model
const clientBetaHeader = clientHeaders?.['anthropic-beta']
headers['anthropic-beta'] = this._getBetaHeader(modelId, clientBetaHeader)
return {
requestPayload,
bodyString,
headers,
isRealClaudeCode
}
}
_applyRequestIdentityTransform(body, headers, context = {}) { _applyRequestIdentityTransform(body, headers, context = {}) {
const normalizedHeaders = headers && typeof headers === 'object' ? { ...headers } : {} const normalizedHeaders = headers && typeof headers === 'object' ? { ...headers } : {}
@@ -928,46 +1117,24 @@ class ClaudeRelayService {
// 获取账户信息用于统一 User-Agent // 获取账户信息用于统一 User-Agent
const account = await claudeAccountService.getAccount(accountId) const account = await claudeAccountService.getAccount(accountId)
// 获取统一的 User-Agent // 使用公共方法准备请求头和 payload
const unifiedUA = await this.captureAndGetUnifiedUserAgent(clientHeaders, account) const prepared = await this._prepareRequestHeadersAndPayload(
body,
// 获取过滤后的客户端 headers
const filteredHeaders = this._filterClientHeaders(clientHeaders)
// 判断是否是真实的 Claude Code 请求
const isRealClaudeCode = this.isRealClaudeCodeRequest(body)
// 如果不是真实的 Claude Code 请求,需要使用从账户获取的 Claude Code headers
let finalHeaders = { ...filteredHeaders }
let requestPayload = body
if (!isRealClaudeCode) {
// 获取该账号存储的 Claude Code headers
const claudeCodeHeaders = await claudeCodeHeadersService.getAccountHeaders(accountId)
// 只添加客户端没有提供的 headers
Object.keys(claudeCodeHeaders).forEach((key) => {
const lowerKey = key.toLowerCase()
if (!finalHeaders[key] && !finalHeaders[lowerKey]) {
finalHeaders[key] = claudeCodeHeaders[key]
}
})
}
const extensionResult = this._applyRequestIdentityTransform(requestPayload, finalHeaders, {
account,
accountId,
clientHeaders, clientHeaders,
accountId,
accessToken,
{
account,
requestOptions, requestOptions,
isStream: false isStream: false
}) }
)
if (extensionResult.abortResponse) { if (prepared.abortResponse) {
return extensionResult.abortResponse return prepared.abortResponse
} }
requestPayload = extensionResult.body const { bodyString, headers } = prepared
finalHeaders = extensionResult.headers
return new Promise((resolve, reject) => { return new Promise((resolve, reject) => {
// 支持自定义路径(如 count_tokens // 支持自定义路径(如 count_tokens
@@ -981,31 +1148,13 @@ class ClaudeRelayService {
const options = { const options = {
hostname: url.hostname, hostname: url.hostname,
port: url.port || 443, port: url.port || 443,
path: requestPath, path: requestPath + (url.search || ''),
method: 'POST', method: 'POST',
headers: { headers,
'Content-Type': 'application/json',
Authorization: `Bearer ${accessToken}`,
'anthropic-version': this.apiVersion,
...finalHeaders
},
agent: proxyAgent, agent: proxyAgent,
timeout: config.requestTimeout || 600000 timeout: config.requestTimeout || 600000
} }
// 使用统一 User-Agent 或客户端提供的,最后使用默认值
if (!options.headers['user-agent'] || unifiedUA !== null) {
const userAgent = unifiedUA || 'claude-cli/1.0.119 (external, cli)'
options.headers['user-agent'] = userAgent
}
logger.info(`🔗 指纹是这个: ${options.headers['user-agent']}`)
// 根据模型和客户端传递的 anthropic-beta 动态设置 header
const modelId = requestPayload?.model || body?.model
const clientBetaHeader = clientHeaders?.['anthropic-beta']
options.headers['anthropic-beta'] = this._getBetaHeader(modelId, clientBetaHeader)
const req = https.request(options, (res) => { const req = https.request(options, (res) => {
let responseData = Buffer.alloc(0) let responseData = Buffer.alloc(0)
@@ -1015,32 +1164,32 @@ class ClaudeRelayService {
res.on('end', () => { res.on('end', () => {
try { try {
let bodyString = '' let responseBody = ''
// 根据Content-Encoding处理响应数据 // 根据Content-Encoding处理响应数据
const contentEncoding = res.headers['content-encoding'] const contentEncoding = res.headers['content-encoding']
if (contentEncoding === 'gzip') { if (contentEncoding === 'gzip') {
try { try {
bodyString = zlib.gunzipSync(responseData).toString('utf8') responseBody = zlib.gunzipSync(responseData).toString('utf8')
} catch (unzipError) { } catch (unzipError) {
logger.error('❌ Failed to decompress gzip response:', unzipError) logger.error('❌ Failed to decompress gzip response:', unzipError)
bodyString = responseData.toString('utf8') responseBody = responseData.toString('utf8')
} }
} else if (contentEncoding === 'deflate') { } else if (contentEncoding === 'deflate') {
try { try {
bodyString = zlib.inflateSync(responseData).toString('utf8') responseBody = zlib.inflateSync(responseData).toString('utf8')
} catch (unzipError) { } catch (unzipError) {
logger.error('❌ Failed to decompress deflate response:', unzipError) logger.error('❌ Failed to decompress deflate response:', unzipError)
bodyString = responseData.toString('utf8') responseBody = responseData.toString('utf8')
} }
} else { } else {
bodyString = responseData.toString('utf8') responseBody = responseData.toString('utf8')
} }
const response = { const response = {
statusCode: res.statusCode, statusCode: res.statusCode,
headers: res.headers, headers: res.headers,
body: bodyString body: responseBody
} }
logger.debug(`🔗 Claude API response: ${res.statusCode}`) logger.debug(`🔗 Claude API response: ${res.statusCode}`)
@@ -1059,7 +1208,6 @@ class ClaudeRelayService {
} }
req.on('error', async (error) => { req.on('error', async (error) => {
console.error(': ❌ ', error)
logger.error(`❌ Claude API request error (Account: ${accountId}):`, error.message, { logger.error(`❌ Claude API request error (Account: ${accountId}):`, error.message, {
code: error.code, code: error.code,
errno: error.errno, errno: error.errno,
@@ -1095,7 +1243,7 @@ class ClaudeRelayService {
}) })
// 写入请求体 // 写入请求体
req.write(JSON.stringify(requestPayload)) req.write(bodyString)
req.end() req.end()
}) })
} }
@@ -1110,6 +1258,10 @@ class ClaudeRelayService {
streamTransformer = null, streamTransformer = null,
options = {} options = {}
) { ) {
let queueLockAcquired = false
let queueRequestId = null
let selectedAccountId = null
try { try {
// 调试日志查看API Key数据流式请求 // 调试日志查看API Key数据流式请求
logger.info('🔍 [Stream] API Key data received:', { logger.info('🔍 [Stream] API Key data received:', {
@@ -1153,6 +1305,73 @@ class ClaudeRelayService {
} }
const { accountId } = accountSelection const { accountId } = accountSelection
const { accountType } = accountSelection const { accountType } = accountSelection
selectedAccountId = accountId
// 📬 用户消息队列处理:如果是用户消息请求,需要获取队列锁
if (userMessageQueueService.isUserMessageRequest(requestBody)) {
// 校验 accountId 非空,避免空值污染队列锁键
if (!accountId || accountId === '') {
logger.error('❌ accountId missing for queue lock in relayStreamRequestWithUsageCapture')
throw new Error('accountId missing for queue lock')
}
const queueResult = await userMessageQueueService.acquireQueueLock(accountId)
if (!queueResult.acquired && !queueResult.skipped) {
// 区分 Redis 后端错误和队列超时
const isBackendError = queueResult.error === 'queue_backend_error'
const errorCode = isBackendError ? 'QUEUE_BACKEND_ERROR' : 'QUEUE_TIMEOUT'
const errorType = isBackendError ? 'queue_backend_error' : 'queue_timeout'
const errorMessage = isBackendError
? 'Queue service temporarily unavailable, please retry later'
: 'User message queue wait timeout, please retry later'
const statusCode = isBackendError ? 500 : 503
// 结构化性能日志,用于后续统计
logger.performance('user_message_queue_error', {
errorType,
errorCode,
accountId,
statusCode,
stream: true,
apiKeyName: apiKeyData.name,
backendError: isBackendError ? queueResult.errorMessage : undefined
})
logger.warn(
`📬 User message queue ${errorType} for account ${accountId} (stream), key: ${apiKeyData.name}`,
isBackendError ? { backendError: queueResult.errorMessage } : {}
)
if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: existingConnection || 'keep-alive',
'x-user-message-queue-error': errorType
})
}
const errorEvent = `event: error\ndata: ${JSON.stringify({
type: 'error',
error: {
type: errorType,
code: errorCode,
message: errorMessage
}
})}\n\n`
responseStream.write(errorEvent)
responseStream.write('data: [DONE]\n\n')
responseStream.end()
return
}
if (queueResult.acquired && !queueResult.skipped) {
queueLockAcquired = true
queueRequestId = queueResult.requestId
logger.debug(
`📬 User message queue lock acquired for account ${accountId} (stream), requestId: ${queueRequestId}`
)
}
}
logger.info( logger.info(
`📡 Processing streaming API request with usage capture for key: ${apiKeyData.name || apiKeyData.id}, account: ${accountId} (${accountType})${sessionHash ? `, session: ${sessionHash}` : ''}` `📡 Processing streaming API request with usage capture for key: ${apiKeyData.name || apiKeyData.id}, account: ${accountId} (${accountType})${sessionHash ? `, session: ${sessionHash}` : ''}`
@@ -1219,11 +1438,48 @@ class ClaudeRelayService {
sessionHash, sessionHash,
streamTransformer, streamTransformer,
options, options,
isDedicatedOfficialAccount isDedicatedOfficialAccount,
// 📬 新增回调:在收到响应头时释放队列锁
async () => {
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
queueLockAcquired = false // 标记已释放,防止 finally 重复释放
logger.debug(
`📬 User message queue lock released early for stream account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock early for stream account ${selectedAccountId}:`,
releaseError.message
)
}
}
}
) )
} catch (error) { } catch (error) {
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(`🔌 Claude stream relay ended: Client disconnected`)
} else {
logger.error(`❌ Claude stream relay with usage capture failed:`, error) logger.error(`❌ Claude stream relay with usage capture failed:`, error)
}
throw error throw error
} finally {
// 📬 释放用户消息队列锁(兜底,正常情况下已在收到响应头后提前释放)
if (queueLockAcquired && queueRequestId && selectedAccountId) {
try {
await userMessageQueueService.releaseQueueLock(selectedAccountId, queueRequestId)
logger.debug(
`📬 User message queue lock released in finally for stream account ${selectedAccountId}, requestId: ${queueRequestId}`
)
} catch (releaseError) {
logger.error(
`❌ Failed to release user message queue lock for stream account ${selectedAccountId}:`,
releaseError.message
)
}
}
} }
} }
@@ -1240,7 +1496,8 @@ class ClaudeRelayService {
sessionHash, sessionHash,
streamTransformer = null, streamTransformer = null,
requestOptions = {}, requestOptions = {},
isDedicatedOfficialAccount = false isDedicatedOfficialAccount = false,
onResponseStart = null // 📬 新增:收到响应头时的回调,用于提前释放队列锁
) { ) {
// 获取账户信息用于统一 User-Agent // 获取账户信息用于统一 User-Agent
const account = await claudeAccountService.getAccount(accountId) const account = await claudeAccountService.getAccount(accountId)
@@ -1248,79 +1505,39 @@ class ClaudeRelayService {
const isOpusModelRequest = const isOpusModelRequest =
typeof body?.model === 'string' && body.model.toLowerCase().includes('opus') typeof body?.model === 'string' && body.model.toLowerCase().includes('opus')
// 获取统一的 User-Agent // 使用公共方法准备请求头和 payload
const unifiedUA = await this.captureAndGetUnifiedUserAgent(clientHeaders, account) const prepared = await this._prepareRequestHeadersAndPayload(
body,
// 获取过滤后的客户端 headers clientHeaders,
const filteredHeaders = this._filterClientHeaders(clientHeaders)
// 判断是否是真实的 Claude Code 请求
const isRealClaudeCode = this.isRealClaudeCodeRequest(body)
// 如果不是真实的 Claude Code 请求,需要使用从账户获取的 Claude Code headers
let finalHeaders = { ...filteredHeaders }
let requestPayload = body
if (!isRealClaudeCode) {
// 获取该账号存储的 Claude Code headers
const claudeCodeHeaders = await claudeCodeHeadersService.getAccountHeaders(accountId)
// 只添加客户端没有提供的 headers
Object.keys(claudeCodeHeaders).forEach((key) => {
const lowerKey = key.toLowerCase()
if (!finalHeaders[key] && !finalHeaders[lowerKey]) {
finalHeaders[key] = claudeCodeHeaders[key]
}
})
}
const extensionResult = this._applyRequestIdentityTransform(requestPayload, finalHeaders, {
account,
accountId, accountId,
accessToken,
{
account,
accountType, accountType,
sessionHash, sessionHash,
clientHeaders,
requestOptions, requestOptions,
isStream: true isStream: true
}) }
)
if (extensionResult.abortResponse) { if (prepared.abortResponse) {
return extensionResult.abortResponse return prepared.abortResponse
} }
requestPayload = extensionResult.body const { bodyString, headers } = prepared
finalHeaders = extensionResult.headers
return new Promise((resolve, reject) => { return new Promise((resolve, reject) => {
const url = new URL(this.claudeApiUrl) const url = new URL(this.claudeApiUrl)
const options = { const options = {
hostname: url.hostname, hostname: url.hostname,
port: url.port || 443, port: url.port || 443,
path: url.pathname, path: url.pathname + (url.search || ''),
method: 'POST', method: 'POST',
headers: { headers,
'Content-Type': 'application/json',
Authorization: `Bearer ${accessToken}`,
'anthropic-version': this.apiVersion,
...finalHeaders
},
agent: proxyAgent, agent: proxyAgent,
timeout: config.requestTimeout || 600000 timeout: config.requestTimeout || 600000
} }
// 使用统一 User-Agent 或客户端提供的,最后使用默认值
if (!options.headers['user-agent'] || unifiedUA !== null) {
const userAgent = unifiedUA || 'claude-cli/1.0.119 (external, cli)'
options.headers['user-agent'] = userAgent
}
logger.info(`🔗 指纹是这个: ${options.headers['user-agent']}`)
// 根据模型和客户端传递的 anthropic-beta 动态设置 header
const modelId = body?.model
const clientBetaHeader = clientHeaders?.['anthropic-beta']
options.headers['anthropic-beta'] = this._getBetaHeader(modelId, clientBetaHeader)
const req = https.request(options, async (res) => { const req = https.request(options, async (res) => {
logger.debug(`🌊 Claude stream response status: ${res.statusCode}`) logger.debug(`🌊 Claude stream response status: ${res.statusCode}`)
@@ -1465,7 +1682,6 @@ class ClaudeRelayService {
}) })
res.on('end', () => { res.on('end', () => {
console.error(': ❌ ', errorData)
logger.error( logger.error(
`❌ Claude API error response (Account: ${account?.name || accountId}):`, `❌ Claude API error response (Account: ${account?.name || accountId}):`,
errorData errorData
@@ -1489,7 +1705,7 @@ class ClaudeRelayService {
} }
})() })()
} }
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
// 解析 Claude API 返回的错误详情 // 解析 Claude API 返回的错误详情
let errorMessage = `Claude API error: ${res.statusCode}` let errorMessage = `Claude API error: ${res.statusCode}`
try { try {
@@ -1527,6 +1743,16 @@ class ClaudeRelayService {
return return
} }
// 📬 收到成功响应头HTTP 200立即调用回调释放队列锁
// 此时请求已被 Claude API 接受并计入 RPM 配额,无需等待响应完成
if (onResponseStart && typeof onResponseStart === 'function') {
try {
await onResponseStart()
} catch (callbackError) {
logger.error('❌ Error in onResponseStart callback:', callbackError.message)
}
}
let buffer = '' let buffer = ''
const allUsageData = [] // 收集所有的usage事件 const allUsageData = [] // 收集所有的usage事件
let currentUsageData = {} // 当前正在收集的usage数据 let currentUsageData = {} // 当前正在收集的usage数据
@@ -1544,7 +1770,8 @@ class ClaudeRelayService {
buffer = lines.pop() || '' // 保留最后的不完整行 buffer = lines.pop() || '' // 保留最后的不完整行
// 转发已处理的完整行到客户端 // 转发已处理的完整行到客户端
if (lines.length > 0 && !responseStream.destroyed) { if (lines.length > 0) {
if (isStreamWritable(responseStream)) {
const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '') const linesToForward = lines.join('\n') + (lines.length > 0 ? '\n' : '')
// 如果有流转换器,应用转换 // 如果有流转换器,应用转换
if (streamTransformer) { if (streamTransformer) {
@@ -1555,6 +1782,12 @@ class ClaudeRelayService {
} else { } else {
responseStream.write(linesToForward) responseStream.write(linesToForward)
} }
} else {
// 客户端连接已断开记录警告但仍继续解析usage
logger.warn(
`⚠️ [Official] Client disconnected during stream, skipping ${lines.length} lines for account: ${accountId}`
)
}
} }
for (const line of lines) { for (const line of lines) {
@@ -1658,7 +1891,7 @@ class ClaudeRelayService {
} catch (error) { } catch (error) {
logger.error('❌ Error processing stream data:', error) logger.error('❌ Error processing stream data:', error)
// 发送错误但不破坏流,让它自然结束 // 发送错误但不破坏流,让它自然结束
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.write('event: error\n') responseStream.write('event: error\n')
responseStream.write( responseStream.write(
`data: ${JSON.stringify({ `data: ${JSON.stringify({
@@ -1674,7 +1907,7 @@ class ClaudeRelayService {
res.on('end', async () => { res.on('end', async () => {
try { try {
// 处理缓冲区中剩余的数据 // 处理缓冲区中剩余的数据
if (buffer.trim() && !responseStream.destroyed) { if (buffer.trim() && isStreamWritable(responseStream)) {
if (streamTransformer) { if (streamTransformer) {
const transformed = streamTransformer(buffer) const transformed = streamTransformer(buffer)
if (transformed) { if (transformed) {
@@ -1686,8 +1919,16 @@ class ClaudeRelayService {
} }
// 确保流正确结束 // 确保流正确结束
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
responseStream.end() responseStream.end()
logger.debug(
`🌊 Stream end called | bytesWritten: ${responseStream.bytesWritten || 'unknown'}`
)
} else {
// 连接已断开,记录警告
logger.warn(
`⚠️ [Official] Client disconnected before stream end, data may not have been received | account: ${account?.name || accountId}`
)
} }
} catch (error) { } catch (error) {
logger.error('❌ Error processing stream end:', error) logger.error('❌ Error processing stream end:', error)
@@ -1766,15 +2007,15 @@ class ClaudeRelayService {
// 提取5小时会话窗口状态 // 提取5小时会话窗口状态
// 使用大小写不敏感的方式获取响应头 // 使用大小写不敏感的方式获取响应头
const get5hStatus = (headers) => { const get5hStatus = (resHeaders) => {
if (!headers) { if (!resHeaders) {
return null return null
} }
// HTTP头部名称不区分大小写需要处理不同情况 // HTTP头部名称不区分大小写需要处理不同情况
return ( return (
headers['anthropic-ratelimit-unified-5h-status'] || resHeaders['anthropic-ratelimit-unified-5h-status'] ||
headers['Anthropic-Ratelimit-Unified-5h-Status'] || resHeaders['Anthropic-Ratelimit-Unified-5h-Status'] ||
headers['ANTHROPIC-RATELIMIT-UNIFIED-5H-STATUS'] resHeaders['ANTHROPIC-RATELIMIT-UNIFIED-5H-STATUS']
) )
} }
@@ -1885,14 +2126,17 @@ class ClaudeRelayService {
} }
if (!responseStream.headersSent) { if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(statusCode, { responseStream.writeHead(statusCode, {
'Content-Type': 'text/event-stream', 'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive' Connection: existingConnection || 'keep-alive'
}) })
} }
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
// 发送 SSE 错误事件 // 发送 SSE 错误事件
responseStream.write('event: error\n') responseStream.write('event: error\n')
responseStream.write( responseStream.write(
@@ -1912,13 +2156,16 @@ class ClaudeRelayService {
logger.error(`❌ Claude stream request timeout | Account: ${account?.name || accountId}`) logger.error(`❌ Claude stream request timeout | Account: ${account?.name || accountId}`)
if (!responseStream.headersSent) { if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(504, { responseStream.writeHead(504, {
'Content-Type': 'text/event-stream', 'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive' Connection: existingConnection || 'keep-alive'
}) })
} }
if (!responseStream.destroyed) { if (isStreamWritable(responseStream)) {
// 发送 SSE 错误事件 // 发送 SSE 错误事件
responseStream.write('event: error\n') responseStream.write('event: error\n')
responseStream.write( responseStream.write(
@@ -1937,12 +2184,12 @@ class ClaudeRelayService {
responseStream.on('close', () => { responseStream.on('close', () => {
logger.debug('🔌 Client disconnected, cleaning up stream') logger.debug('🔌 Client disconnected, cleaning up stream')
if (!req.destroyed) { if (!req.destroyed) {
req.destroy() req.destroy(new Error('Client disconnected'))
} }
}) })
// 写入请求体 // 写入请求体
req.write(JSON.stringify(requestPayload)) req.write(bodyString)
req.end() req.end()
}) })
} }
@@ -2233,10 +2480,13 @@ class ClaudeRelayService {
// 设置响应头 // 设置响应头
if (!responseStream.headersSent) { if (!responseStream.headersSent) {
const existingConnection = responseStream.getHeader
? responseStream.getHeader('Connection')
: null
responseStream.writeHead(200, { responseStream.writeHead(200, {
'Content-Type': 'text/event-stream', 'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache', 'Cache-Control': 'no-cache',
Connection: 'keep-alive', Connection: existingConnection || 'keep-alive',
'X-Accel-Buffering': 'no' 'X-Accel-Buffering': 'no'
}) })
} }
@@ -2264,7 +2514,7 @@ class ClaudeRelayService {
} catch (error) { } catch (error) {
logger.error(`❌ Test account connection failed:`, error) logger.error(`❌ Test account connection failed:`, error)
// 发送错误事件给前端 // 发送错误事件给前端
if (!responseStream.destroyed && !responseStream.writableEnded) { if (isStreamWritable(responseStream)) {
try { try {
const errorMsg = error.message || '测试失败' const errorMsg = error.message || '测试失败'
responseStream.write(`data: ${JSON.stringify({ type: 'error', error: errorMsg })}\n\n`) responseStream.write(`data: ${JSON.stringify({ type: 'error', error: errorMsg })}\n\n`)

View File

@@ -336,7 +336,12 @@ class DroidRelayService {
) )
} }
} catch (error) { } catch (error) {
// 客户端主动断开连接是正常情况,使用 INFO 级别
if (error.message === 'Client disconnected') {
logger.info(`🔌 Droid relay ended: Client disconnected`)
} else {
logger.error(`❌ Droid relay error: ${error.message}`, error) logger.error(`❌ Droid relay error: ${error.message}`, error)
}
const status = error?.response?.status const status = error?.response?.status
if (status >= 400 && status < 500) { if (status >= 400 && status < 500) {
@@ -634,7 +639,7 @@ class DroidRelayService {
// 客户端断开连接时清理 // 客户端断开连接时清理
clientResponse.on('close', () => { clientResponse.on('close', () => {
if (req && !req.destroyed) { if (req && !req.destroyed) {
req.destroy() req.destroy(new Error('Client disconnected'))
} }
}) })

View File

@@ -426,9 +426,9 @@ class OpenAIResponsesRelayService {
const lines = data.split('\n') const lines = data.split('\n')
for (const line of lines) { for (const line of lines) {
if (line.startsWith('data: ')) { if (line.startsWith('data:')) {
try { try {
const jsonStr = line.slice(6) const jsonStr = line.slice(5).trim()
if (jsonStr === '[DONE]') { if (jsonStr === '[DONE]') {
continue continue
} }

View File

@@ -22,6 +22,18 @@ const STAINLESS_HEADER_KEYS = [
'x-stainless-runtime', 'x-stainless-runtime',
'x-stainless-runtime-version' 'x-stainless-runtime-version'
] ]
// 小写 key 到正确大小写格式的映射(用于返回给上游时)
const STAINLESS_HEADER_CASE_MAP = {
'x-stainless-retry-count': 'X-Stainless-Retry-Count',
'x-stainless-timeout': 'X-Stainless-Timeout',
'x-stainless-lang': 'X-Stainless-Lang',
'x-stainless-package-version': 'X-Stainless-Package-Version',
'x-stainless-os': 'X-Stainless-OS',
'x-stainless-arch': 'X-Stainless-Arch',
'x-stainless-runtime': 'X-Stainless-Runtime',
'x-stainless-runtime-version': 'X-Stainless-Runtime-Version'
}
const MIN_FINGERPRINT_FIELDS = 4 const MIN_FINGERPRINT_FIELDS = 4
const REDIS_KEY_PREFIX = 'fmt_claude_req:stainless_headers:' const REDIS_KEY_PREFIX = 'fmt_claude_req:stainless_headers:'
@@ -135,7 +147,9 @@ function applyFingerprintToHeaders(headers, fingerprint) {
return return
} }
removeHeaderCaseInsensitive(nextHeaders, key) removeHeaderCaseInsensitive(nextHeaders, key)
nextHeaders[key] = fingerprint[key] // 使用正确的大小写格式返回给上游
const properCaseKey = STAINLESS_HEADER_CASE_MAP[key] || key
nextHeaders[properCaseKey] = fingerprint[key]
}) })
return nextHeaders return nextHeaders

View File

@@ -180,8 +180,56 @@ class UnifiedClaudeScheduler {
} }
// 🎯 统一调度Claude账号官方和Console // 🎯 统一调度Claude账号官方和Console
async selectAccountForApiKey(apiKeyData, sessionHash = null, requestedModel = null) { async selectAccountForApiKey(
apiKeyData,
sessionHash = null,
requestedModel = null,
forcedAccount = null
) {
try { try {
// 🔒 如果有强制绑定的账户(全局会话绑定),仅 claude-official 类型受影响
if (forcedAccount && forcedAccount.accountId && forcedAccount.accountType) {
// ⚠️ 只有 claude-official 类型账户受全局会话绑定限制
// 其他类型bedrock, ccr, claude-console等忽略绑定走正常调度
if (forcedAccount.accountType !== 'claude-official') {
logger.info(
`🔗 Session binding ignored for non-official account type: ${forcedAccount.accountType}, proceeding with normal scheduling`
)
// 不使用 forcedAccount继续走下面的正常调度逻辑
} else {
// claude-official 类型需要检查可用性并强制使用
logger.info(
`🔗 Forced session binding detected: ${forcedAccount.accountId} (${forcedAccount.accountType})`
)
const isAvailable = await this._isAccountAvailableForSessionBinding(
forcedAccount.accountId,
forcedAccount.accountType,
requestedModel
)
if (isAvailable) {
logger.info(
`✅ Using forced session binding account: ${forcedAccount.accountId} (${forcedAccount.accountType})`
)
return {
accountId: forcedAccount.accountId,
accountType: forcedAccount.accountType
}
} else {
// 绑定账户不可用,抛出特定错误(不 fallback
logger.warn(
`❌ Forced session binding account unavailable: ${forcedAccount.accountId} (${forcedAccount.accountType})`
)
const error = new Error('Session binding account unavailable')
error.code = 'SESSION_BINDING_ACCOUNT_UNAVAILABLE'
error.accountId = forcedAccount.accountId
error.accountType = forcedAccount.accountType
throw error
}
}
}
// 解析供应商前缀 // 解析供应商前缀
const { vendor, baseModel } = parseVendorPrefixedModel(requestedModel) const { vendor, baseModel } = parseVendorPrefixedModel(requestedModel)
const effectiveModel = vendor === 'ccr' ? baseModel : requestedModel const effectiveModel = vendor === 'ccr' ? baseModel : requestedModel
@@ -1711,6 +1759,67 @@ class UnifiedClaudeScheduler {
return [] return []
} }
} }
/**
* 🔒 检查 claude-official 账户是否可用于会话绑定
* 注意:此方法仅用于 claude-official 类型账户,其他类型不受会话绑定限制
* @param {string} accountId - 账户ID
* @param {string} accountType - 账户类型(应为 'claude-official'
* @param {string} _requestedModel - 请求的模型(保留参数,当前未使用)
* @returns {Promise<boolean>}
*/
async _isAccountAvailableForSessionBinding(accountId, accountType, _requestedModel = null) {
try {
// 此方法仅处理 claude-official 类型
if (accountType !== 'claude-official') {
logger.warn(
`Session binding: _isAccountAvailableForSessionBinding called for non-official type: ${accountType}`
)
return true // 非 claude-official 类型不受限制
}
const account = await redis.getClaudeAccount(accountId)
if (!account) {
logger.warn(`Session binding: Claude OAuth account ${accountId} not found`)
return false
}
const isActive = account.isActive === 'true' || account.isActive === true
const { status } = account
if (!isActive) {
logger.warn(`Session binding: Claude OAuth account ${accountId} is not active`)
return false
}
if (status === 'error' || status === 'temp_error') {
logger.warn(
`Session binding: Claude OAuth account ${accountId} has error status: ${status}`
)
return false
}
// 检查是否被限流
if (await claudeAccountService.isAccountRateLimited(accountId)) {
logger.warn(`Session binding: Claude OAuth account ${accountId} is rate limited`)
return false
}
// 检查临时不可用
if (await this.isAccountTemporarilyUnavailable(accountId, accountType)) {
logger.warn(`Session binding: Claude OAuth account ${accountId} is temporarily unavailable`)
return false
}
return true
} catch (error) {
logger.error(
`❌ Error checking account availability for session binding: ${accountId} (${accountType})`,
error
)
return false
}
}
} }
module.exports = new UnifiedClaudeScheduler() module.exports = new UnifiedClaudeScheduler()

View File

@@ -0,0 +1,348 @@
/**
* 用户消息队列服务
* 为 Claude 账户实现基于消息类型的串行排队机制
*
* 当请求的最后一条消息是用户输入role: user
* 同一账户的此类请求需要串行等待,并在请求之间添加延迟
*/
const { v4: uuidv4 } = require('uuid')
const redis = require('../models/redis')
const config = require('../../config/config')
const logger = require('../utils/logger')
// 清理任务间隔
const CLEANUP_INTERVAL_MS = 60000 // 1分钟
// 轮询等待配置
const POLL_INTERVAL_BASE_MS = 50 // 基础轮询间隔
const POLL_INTERVAL_MAX_MS = 500 // 最大轮询间隔
const POLL_BACKOFF_FACTOR = 1.5 // 退避因子
class UserMessageQueueService {
constructor() {
this.cleanupTimer = null
}
/**
* 检测请求是否为真正的用户消息请求
* 区分真正的用户输入和 tool_result 消息
*
* Claude API 消息格式:
* - 用户文本消息: { role: 'user', content: 'text' } 或 { role: 'user', content: [{ type: 'text', text: '...' }] }
* - 工具结果消息: { role: 'user', content: [{ type: 'tool_result', tool_use_id: '...', content: '...' }] }
*
* @param {Object} requestBody - 请求体
* @returns {boolean} - 是否为真正的用户消息(排除 tool_result
*/
isUserMessageRequest(requestBody) {
const messages = requestBody?.messages
if (!Array.isArray(messages) || messages.length === 0) {
return false
}
const lastMessage = messages[messages.length - 1]
// 检查 role 是否为 user
if (lastMessage?.role !== 'user') {
return false
}
// 检查 content 是否包含 tool_result 类型
const { content } = lastMessage
if (Array.isArray(content)) {
// 如果 content 数组中任何元素是 tool_result则不是真正的用户消息
const hasToolResult = content.some(
(block) => block?.type === 'tool_result' || block?.type === 'tool_use_result'
)
if (hasToolResult) {
return false
}
}
// role 是 user 且不包含 tool_result是真正的用户消息
return true
}
/**
* 获取当前配置(支持 Web 界面配置优先)
* @returns {Promise<Object>} 配置对象
*/
async getConfig() {
// 默认配置(防止 config.userMessageQueue 未定义)
// 注意:优化后的默认值 - 锁持有时间从分钟级降到毫秒级,无需长等待
const queueConfig = config.userMessageQueue || {}
const defaults = {
enabled: queueConfig.enabled ?? false,
delayMs: queueConfig.delayMs ?? 200,
timeoutMs: queueConfig.timeoutMs ?? 5000, // 从 60000 降到 5000因为锁持有时间短
lockTtlMs: queueConfig.lockTtlMs ?? 5000 // 从 120000 降到 50005秒足以覆盖请求发送
}
// 尝试从 claudeRelayConfigService 获取 Web 界面配置
try {
const claudeRelayConfigService = require('./claudeRelayConfigService')
const webConfig = await claudeRelayConfigService.getConfig()
return {
enabled:
webConfig.userMessageQueueEnabled !== undefined
? webConfig.userMessageQueueEnabled
: defaults.enabled,
delayMs:
webConfig.userMessageQueueDelayMs !== undefined
? webConfig.userMessageQueueDelayMs
: defaults.delayMs,
timeoutMs:
webConfig.userMessageQueueTimeoutMs !== undefined
? webConfig.userMessageQueueTimeoutMs
: defaults.timeoutMs,
lockTtlMs:
webConfig.userMessageQueueLockTtlMs !== undefined
? webConfig.userMessageQueueLockTtlMs
: defaults.lockTtlMs
}
} catch {
// 回退到环境变量配置
return defaults
}
}
/**
* 检查功能是否启用
* @returns {Promise<boolean>}
*/
async isEnabled() {
const cfg = await this.getConfig()
return cfg.enabled === true
}
/**
* 获取账户队列锁(阻塞等待)
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID可选会自动生成
* @param {number} timeoutMs - 超时时间(可选,使用配置默认值)
* @returns {Promise<{acquired: boolean, requestId: string, error?: string}>}
*/
async acquireQueueLock(accountId, requestId = null, timeoutMs = null) {
const cfg = await this.getConfig()
if (!cfg.enabled) {
return { acquired: true, requestId: requestId || uuidv4(), skipped: true }
}
const reqId = requestId || uuidv4()
const timeout = timeoutMs || cfg.timeoutMs
const startTime = Date.now()
let retryCount = 0
logger.debug(`📬 User message queue: attempting to acquire lock for account ${accountId}`, {
requestId: reqId,
timeoutMs: timeout
})
while (Date.now() - startTime < timeout) {
const result = await redis.acquireUserMessageLock(
accountId,
reqId,
cfg.lockTtlMs,
cfg.delayMs
)
// 检测 Redis 错误,立即返回系统错误而非继续轮询
if (result.redisError) {
logger.error(`📬 User message queue: Redis error while acquiring lock`, {
accountId,
requestId: reqId,
errorMessage: result.errorMessage
})
return {
acquired: false,
requestId: reqId,
error: 'queue_backend_error',
errorMessage: result.errorMessage
}
}
if (result.acquired) {
logger.debug(`📬 User message queue: lock acquired for account ${accountId}`, {
requestId: reqId,
waitedMs: Date.now() - startTime,
retries: retryCount
})
return { acquired: true, requestId: reqId }
}
// 需要等待
if (result.waitMs > 0) {
// 需要延迟(上一个请求刚完成)
await this._sleep(Math.min(result.waitMs, timeout - (Date.now() - startTime)))
} else {
// 锁被占用,使用指数退避轮询等待
const basePollInterval = Math.min(
POLL_INTERVAL_BASE_MS * Math.pow(POLL_BACKOFF_FACTOR, retryCount),
POLL_INTERVAL_MAX_MS
)
// 添加 ±15% 随机抖动,避免高并发下的周期性碰撞
const jitter = basePollInterval * (0.85 + Math.random() * 0.3)
const pollInterval = Math.min(jitter, POLL_INTERVAL_MAX_MS)
await this._sleep(pollInterval)
retryCount++
}
}
// 超时
logger.warn(`📬 User message queue: timeout waiting for lock`, {
accountId,
requestId: reqId,
timeoutMs: timeout
})
return {
acquired: false,
requestId: reqId,
error: 'queue_timeout'
}
}
/**
* 释放账户队列锁
* @param {string} accountId - 账户ID
* @param {string} requestId - 请求ID
* @returns {Promise<boolean>}
*/
async releaseQueueLock(accountId, requestId) {
if (!accountId || !requestId) {
return false
}
const released = await redis.releaseUserMessageLock(accountId, requestId)
if (released) {
logger.debug(`📬 User message queue: lock released for account ${accountId}`, {
requestId
})
} else {
logger.warn(`📬 User message queue: failed to release lock (not owner?)`, {
accountId,
requestId
})
}
return released
}
/**
* 获取队列统计信息
* @param {string} accountId - 账户ID
* @returns {Promise<Object>}
*/
async getQueueStats(accountId) {
return await redis.getUserMessageQueueStats(accountId)
}
/**
* 服务启动时清理所有残留的队列锁
* 防止服务重启后旧锁阻塞新请求
* @returns {Promise<number>} 清理的锁数量
*/
async cleanupStaleLocks() {
try {
const accountIds = await redis.scanUserMessageQueueLocks()
let cleanedCount = 0
for (const accountId of accountIds) {
try {
await redis.forceReleaseUserMessageLock(accountId)
cleanedCount++
logger.debug(`📬 User message queue: cleaned stale lock for account ${accountId}`)
} catch (error) {
logger.error(
`📬 User message queue: failed to clean lock for account ${accountId}:`,
error
)
}
}
if (cleanedCount > 0) {
logger.info(`📬 User message queue: cleaned ${cleanedCount} stale lock(s) on startup`)
}
return cleanedCount
} catch (error) {
logger.error('📬 User message queue: failed to cleanup stale locks on startup:', error)
return 0
}
}
/**
* 启动定时清理任务
* 始终启动,每次执行时检查配置以支持运行时动态启用/禁用
*/
startCleanupTask() {
if (this.cleanupTimer) {
return
}
this.cleanupTimer = setInterval(async () => {
// 每次运行时检查配置,以便在运行时动态启用/禁用
const currentConfig = await this.getConfig()
if (!currentConfig.enabled) {
logger.debug('📬 User message queue: cleanup skipped (feature disabled)')
return
}
await this._cleanupOrphanLocks()
}, CLEANUP_INTERVAL_MS)
logger.info('📬 User message queue: cleanup task started')
}
/**
* 停止定时清理任务
*/
stopCleanupTask() {
if (this.cleanupTimer) {
clearInterval(this.cleanupTimer)
this.cleanupTimer = null
logger.info('📬 User message queue: cleanup task stopped')
}
}
/**
* 清理孤儿锁
* 检测异常情况锁存在但没有设置过期时间lockTtlRaw === -1
* 正常情况下所有锁都应该有 TTLRedis 会自动过期
* @private
*/
async _cleanupOrphanLocks() {
try {
const accountIds = await redis.scanUserMessageQueueLocks()
for (const accountId of accountIds) {
const stats = await redis.getUserMessageQueueStats(accountId)
// 检测异常情况锁存在isLocked=true但没有过期时间lockTtlRaw=-1
// 正常创建的锁都带有 PX 过期时间,如果没有说明是异常状态
if (stats.isLocked && stats.lockTtlRaw === -1) {
logger.warn(
`📬 User message queue: cleaning up orphan lock without TTL for account ${accountId}`,
{ lockHolder: stats.lockHolder }
)
await redis.forceReleaseUserMessageLock(accountId)
}
}
} catch (error) {
logger.error('📬 User message queue: cleanup task error:', error)
}
}
/**
* 睡眠辅助函数
* @param {number} ms - 毫秒
* @private
*/
_sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms))
}
}
module.exports = new UserMessageQueueService()

View File

@@ -84,6 +84,11 @@ const PROMPT_DEFINITIONS = {
title: 'Claude Code Compact System Prompt', title: 'Claude Code Compact System Prompt',
text: 'You are a helpful AI assistant tasked with summarizing conversations.' text: 'You are a helpful AI assistant tasked with summarizing conversations.'
}, },
exploreAgentSystemPrompt: {
category: 'system',
title: 'Claude Code Explore Agent System Prompt',
text: "You are a file search specialist for Claude Code, Anthropic's official CLI for Claude."
},
outputStyleInsightsPrompt: { outputStyleInsightsPrompt: {
category: 'output_style', category: 'output_style',
title: 'Output Style Insights Addendum', title: 'Output Style Insights Addendum',

View File

@@ -52,50 +52,38 @@ function filterForOpenAI(headers) {
/** /**
* 为 Claude/Anthropic API 过滤 headers * 为 Claude/Anthropic API 过滤 headers
* 在原有逻辑基础上添加 CDN headers 到敏感列表 * 使用白名单模式,只允许指定的 headers 通过
*/ */
function filterForClaude(headers) { function filterForClaude(headers) {
const sensitiveHeaders = [ // 白名单模式:只允许以下 headers
'content-type', const allowedHeaders = [
'user-agent',
'x-api-key',
'authorization',
'x-authorization',
'host',
'content-length',
'connection',
'proxy-authorization',
'content-encoding',
'transfer-encoding',
...cdnHeaders // 添加 CDN headers
]
const browserHeaders = [
'origin',
'referer',
'sec-fetch-mode',
'sec-fetch-site',
'sec-fetch-dest',
'sec-ch-ua',
'sec-ch-ua-mobile',
'sec-ch-ua-platform',
'accept-language',
'accept-encoding',
'accept', 'accept',
'cache-control', 'x-stainless-retry-count',
'pragma', 'x-stainless-timeout',
'anthropic-dangerous-direct-browser-access' 'x-stainless-lang',
'x-stainless-package-version',
'x-stainless-os',
'x-stainless-arch',
'x-stainless-runtime',
'x-stainless-runtime-version',
'x-stainless-helper-method',
'anthropic-dangerous-direct-browser-access',
'anthropic-version',
'x-app',
'anthropic-beta',
'accept-language',
'sec-fetch-mode',
'accept-encoding',
'user-agent',
'content-type',
'connection'
] ]
const allowedHeaders = ['x-request-id', 'anthropic-version', 'anthropic-beta']
const filtered = {} const filtered = {}
Object.keys(headers || {}).forEach((key) => { Object.keys(headers || {}).forEach((key) => {
const lowerKey = key.toLowerCase() const lowerKey = key.toLowerCase()
if (allowedHeaders.includes(lowerKey)) { if (allowedHeaders.includes(lowerKey)) {
filtered[key] = headers[key] filtered[key] = headers[key]
} else if (!sensitiveHeaders.includes(lowerKey) && !browserHeaders.includes(lowerKey)) {
filtered[key] = headers[key]
} }
}) })

View File

@@ -137,6 +137,7 @@ const createLogFormat = (colorize = false) => {
const logFormat = createLogFormat(false) const logFormat = createLogFormat(false)
const consoleFormat = createLogFormat(true) const consoleFormat = createLogFormat(true)
const isTestEnv = process.env.NODE_ENV === 'test' || process.env.JEST_WORKER_ID
// 📁 确保日志目录存在并设置权限 // 📁 确保日志目录存在并设置权限
if (!fs.existsSync(config.logging.dirname)) { if (!fs.existsSync(config.logging.dirname)) {
@@ -159,7 +160,8 @@ const createRotateTransport = (filename, level = null) => {
transport.level = level transport.level = level
} }
// 监听轮转事件 // 监听轮转事件(测试环境关闭以避免 Jest 退出后输出)
if (!isTestEnv) {
transport.on('rotate', (oldFilename, newFilename) => { transport.on('rotate', (oldFilename, newFilename) => {
console.log(`📦 Log rotated: ${oldFilename} -> ${newFilename}`) console.log(`📦 Log rotated: ${oldFilename} -> ${newFilename}`)
}) })
@@ -171,6 +173,7 @@ const createRotateTransport = (filename, level = null) => {
transport.on('archive', (zipFilename) => { transport.on('archive', (zipFilename) => {
console.log(`🗜️ Log archived: ${zipFilename}`) console.log(`🗜️ Log archived: ${zipFilename}`)
}) })
}
return transport return transport
} }

105
src/utils/statsHelper.js Normal file
View File

@@ -0,0 +1,105 @@
/**
* 统计计算工具函数
* 提供百分位数计算、等待时间统计等通用统计功能
*/
/**
* 计算百分位数(使用 nearest-rank 方法)
* @param {number[]} sortedArray - 已排序的数组(升序)
* @param {number} percentile - 百分位数 (0-100)
* @returns {number} 百分位值
*
* 边界情况说明:
* - percentile=0: 返回最小值 (index=0)
* - percentile=100: 返回最大值 (index=len-1)
* - percentile=50 且 len=2: 返回第一个元素nearest-rank 向下取)
*
* 算法说明nearest-rank 方法):
* - index = ceil(percentile / 100 * len) - 1
* - 示例len=100, P50 → ceil(50) - 1 = 49第50个元素0-indexed
* - 示例len=100, P99 → ceil(99) - 1 = 98第99个元素
*/
function getPercentile(sortedArray, percentile) {
const len = sortedArray.length
if (len === 0) {
return 0
}
if (len === 1) {
return sortedArray[0]
}
// 边界处理percentile <= 0 返回最小值
if (percentile <= 0) {
return sortedArray[0]
}
// 边界处理percentile >= 100 返回最大值
if (percentile >= 100) {
return sortedArray[len - 1]
}
const index = Math.ceil((percentile / 100) * len) - 1
return sortedArray[index]
}
/**
* 计算等待时间分布统计
* @param {number[]} waitTimes - 等待时间数组(无需预先排序)
* @returns {Object|null} 统计对象,空数组返回 null
*
* 返回对象包含:
* - sampleCount: 样本数量(始终包含,便于调用方判断可靠性)
* - count: 样本数量(向后兼容)
* - min: 最小值
* - max: 最大值
* - avg: 平均值(四舍五入)
* - p50: 50百分位数中位数
* - p90: 90百分位数
* - p99: 99百分位数
* - sampleSizeWarning: 样本量不足时的警告信息(样本 < 10
* - p90Unreliable: P90 统计不可靠标记(样本 < 10
* - p99Unreliable: P99 统计不可靠标记(样本 < 100
*
* 可靠性标记说明(详见 design.md Decision 6
* - 样本 < 10: P90 和 P99 都不可靠
* - 样本 < 100: P99 不可靠P90 需要 10 个样本P99 需要 100 个样本)
* - 即使标记为不可靠,仍返回计算值供参考
*/
function calculateWaitTimeStats(waitTimes) {
if (!waitTimes || waitTimes.length === 0) {
return null
}
const sorted = [...waitTimes].sort((a, b) => a - b)
const sum = sorted.reduce((a, b) => a + b, 0)
const len = sorted.length
const stats = {
sampleCount: len, // 新增:始终包含样本数
count: len, // 向后兼容
min: sorted[0],
max: sorted[len - 1],
avg: Math.round(sum / len),
p50: getPercentile(sorted, 50),
p90: getPercentile(sorted, 90),
p99: getPercentile(sorted, 99)
}
// 渐进式可靠性标记(详见 design.md Decision 6
// 样本 < 10: P90 不可靠P90 至少需要 ceil(100/10) = 10 个样本)
if (len < 10) {
stats.sampleSizeWarning = 'Results may be inaccurate due to small sample size'
stats.p90Unreliable = true
}
// 样本 < 100: P99 不可靠P99 至少需要 ceil(100/1) = 100 个样本)
if (len < 100) {
stats.p99Unreliable = true
}
return stats
}
module.exports = {
getPercentile,
calculateWaitTimeStats
}

36
src/utils/streamHelper.js Normal file
View File

@@ -0,0 +1,36 @@
/**
* Stream Helper Utilities
* 流处理辅助工具函数
*/
/**
* 检查响应流是否仍然可写(客户端连接是否有效)
* @param {import('http').ServerResponse} stream - HTTP响应流
* @returns {boolean} 如果流可写返回true否则返回false
*/
function isStreamWritable(stream) {
if (!stream) {
return false
}
// 检查流是否已销毁
if (stream.destroyed) {
return false
}
// 检查底层socket是否已销毁
if (stream.socket?.destroyed) {
return false
}
// 检查流是否已结束写入
if (stream.writableEnded) {
return false
}
return true
}
module.exports = {
isStreamWritable
}

View File

@@ -65,8 +65,9 @@ class ClaudeCodeValidator {
const { bestScore } = bestSimilarityByTemplates(rawText) const { bestScore } = bestSimilarityByTemplates(rawText)
if (bestScore < threshold) { if (bestScore < threshold) {
logger.error( logger.error(
`Claude system prompt similarity below threshold: score=${bestScore.toFixed(4)}, threshold=${threshold}, prompt=${rawText}` `Claude system prompt similarity below threshold: score=${bestScore.toFixed(4)}, threshold=${threshold}`
) )
logger.warn(`Claude system prompt detail: ${rawText}`)
return false return false
} }
} }

View File

@@ -0,0 +1,860 @@
/**
* 并发请求排队功能集成测试
*
* 测试分为三个层次:
* 1. Mock 测试 - 测试核心逻辑,不需要真实 Redis
* 2. Redis 方法测试 - 测试 Redis 操作的原子性和正确性
* 3. 端到端场景测试 - 测试完整的排队流程
*
* 运行方式:
* - npm test -- concurrencyQueue.integration # 运行所有测试Mock 部分)
* - REDIS_TEST=1 npm test -- concurrencyQueue.integration # 包含真实 Redis 测试
*/
// Mock logger to avoid console output during tests
jest.mock('../src/utils/logger', () => ({
api: jest.fn(),
warn: jest.fn(),
error: jest.fn(),
info: jest.fn(),
database: jest.fn(),
security: jest.fn()
}))
const redis = require('../src/models/redis')
const claudeRelayConfigService = require('../src/services/claudeRelayConfigService')
// Helper: sleep function
const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms))
// Helper: 创建模拟的 req/res 对象
function createMockReqRes() {
const listeners = {}
const req = {
destroyed: false,
once: jest.fn((event, handler) => {
listeners[`req:${event}`] = handler
}),
removeListener: jest.fn((event) => {
delete listeners[`req:${event}`]
}),
// 触发事件的辅助方法
emit: (event) => {
const handler = listeners[`req:${event}`]
if (handler) {
handler()
}
}
}
const res = {
once: jest.fn((event, handler) => {
listeners[`res:${event}`] = handler
}),
removeListener: jest.fn((event) => {
delete listeners[`res:${event}`]
}),
emit: (event) => {
const handler = listeners[`res:${event}`]
if (handler) {
handler()
}
}
}
return { req, res, listeners }
}
// ============================================
// 第一部分Mock 测试 - waitForConcurrencySlot 核心逻辑
// ============================================
describe('ConcurrencyQueue Integration Tests', () => {
describe('Part 1: waitForConcurrencySlot Logic (Mocked)', () => {
// 导入 auth 模块中的 waitForConcurrencySlot
// 由于它是内部函数,我们需要通过测试其行为来验证
// 这里我们模拟整个流程
let mockRedis
beforeEach(() => {
jest.clearAllMocks()
// 创建 Redis mock
mockRedis = {
concurrencyCount: {},
queueCount: {},
stats: {},
waitTimes: {},
globalWaitTimes: []
}
// Mock Redis 并发方法
jest.spyOn(redis, 'incrConcurrency').mockImplementation(async (keyId, requestId, _lease) => {
if (!mockRedis.concurrencyCount[keyId]) {
mockRedis.concurrencyCount[keyId] = new Set()
}
mockRedis.concurrencyCount[keyId].add(requestId)
return mockRedis.concurrencyCount[keyId].size
})
jest.spyOn(redis, 'decrConcurrency').mockImplementation(async (keyId, requestId) => {
if (mockRedis.concurrencyCount[keyId]) {
mockRedis.concurrencyCount[keyId].delete(requestId)
return mockRedis.concurrencyCount[keyId].size
}
return 0
})
// Mock 排队计数方法
jest.spyOn(redis, 'incrConcurrencyQueue').mockImplementation(async (keyId) => {
mockRedis.queueCount[keyId] = (mockRedis.queueCount[keyId] || 0) + 1
return mockRedis.queueCount[keyId]
})
jest.spyOn(redis, 'decrConcurrencyQueue').mockImplementation(async (keyId) => {
mockRedis.queueCount[keyId] = Math.max(0, (mockRedis.queueCount[keyId] || 0) - 1)
return mockRedis.queueCount[keyId]
})
jest
.spyOn(redis, 'getConcurrencyQueueCount')
.mockImplementation(async (keyId) => mockRedis.queueCount[keyId] || 0)
// Mock 统计方法
jest.spyOn(redis, 'incrConcurrencyQueueStats').mockImplementation(async (keyId, field) => {
if (!mockRedis.stats[keyId]) {
mockRedis.stats[keyId] = {}
}
mockRedis.stats[keyId][field] = (mockRedis.stats[keyId][field] || 0) + 1
return mockRedis.stats[keyId][field]
})
jest.spyOn(redis, 'recordQueueWaitTime').mockResolvedValue(undefined)
jest.spyOn(redis, 'recordGlobalQueueWaitTime').mockResolvedValue(undefined)
})
afterEach(() => {
jest.restoreAllMocks()
})
describe('Slot Acquisition Flow', () => {
it('should acquire slot immediately when under concurrency limit', async () => {
// 模拟 waitForConcurrencySlot 的行为
const keyId = 'test-key-1'
const requestId = 'req-1'
const concurrencyLimit = 5
// 直接测试 incrConcurrency 的行为
const count = await redis.incrConcurrency(keyId, requestId, 300)
expect(count).toBe(1)
expect(count).toBeLessThanOrEqual(concurrencyLimit)
})
it('should track multiple concurrent requests correctly', async () => {
const keyId = 'test-key-2'
const concurrencyLimit = 3
// 模拟多个并发请求
const results = []
for (let i = 1; i <= 5; i++) {
const count = await redis.incrConcurrency(keyId, `req-${i}`, 300)
results.push({ requestId: `req-${i}`, count, exceeds: count > concurrencyLimit })
}
// 前3个应该在限制内
expect(results[0].exceeds).toBe(false)
expect(results[1].exceeds).toBe(false)
expect(results[2].exceeds).toBe(false)
// 后2个超过限制
expect(results[3].exceeds).toBe(true)
expect(results[4].exceeds).toBe(true)
})
it('should release slot and allow next request', async () => {
const keyId = 'test-key-3'
const concurrencyLimit = 1
// 第一个请求获取槽位
const count1 = await redis.incrConcurrency(keyId, 'req-1', 300)
expect(count1).toBe(1)
// 第二个请求超限
const count2 = await redis.incrConcurrency(keyId, 'req-2', 300)
expect(count2).toBe(2)
expect(count2).toBeGreaterThan(concurrencyLimit)
// 释放第二个请求(因为超限)
await redis.decrConcurrency(keyId, 'req-2')
// 释放第一个请求
await redis.decrConcurrency(keyId, 'req-1')
// 现在第三个请求应该能获取
const count3 = await redis.incrConcurrency(keyId, 'req-3', 300)
expect(count3).toBe(1)
})
})
describe('Queue Count Management', () => {
it('should increment and decrement queue count atomically', async () => {
const keyId = 'test-key-4'
// 增加排队计数
const count1 = await redis.incrConcurrencyQueue(keyId, 60000)
expect(count1).toBe(1)
const count2 = await redis.incrConcurrencyQueue(keyId, 60000)
expect(count2).toBe(2)
// 减少排队计数
const count3 = await redis.decrConcurrencyQueue(keyId)
expect(count3).toBe(1)
const count4 = await redis.decrConcurrencyQueue(keyId)
expect(count4).toBe(0)
})
it('should not go below zero on decrement', async () => {
const keyId = 'test-key-5'
// 直接减少(没有先增加)
const count = await redis.decrConcurrencyQueue(keyId)
expect(count).toBe(0)
})
it('should handle concurrent queue operations', async () => {
const keyId = 'test-key-6'
// 并发增加
const increments = await Promise.all([
redis.incrConcurrencyQueue(keyId, 60000),
redis.incrConcurrencyQueue(keyId, 60000),
redis.incrConcurrencyQueue(keyId, 60000)
])
// 所有增量应该是连续的
const sortedIncrements = [...increments].sort((a, b) => a - b)
expect(sortedIncrements).toEqual([1, 2, 3])
})
})
describe('Statistics Tracking', () => {
it('should track entered/success/timeout/cancelled stats', async () => {
const keyId = 'test-key-7'
await redis.incrConcurrencyQueueStats(keyId, 'entered')
await redis.incrConcurrencyQueueStats(keyId, 'entered')
await redis.incrConcurrencyQueueStats(keyId, 'success')
await redis.incrConcurrencyQueueStats(keyId, 'timeout')
await redis.incrConcurrencyQueueStats(keyId, 'cancelled')
expect(mockRedis.stats[keyId]).toEqual({
entered: 2,
success: 1,
timeout: 1,
cancelled: 1
})
})
})
describe('Client Disconnection Handling', () => {
it('should detect client disconnection via close event', async () => {
const { req } = createMockReqRes()
let clientDisconnected = false
// 设置监听器
req.once('close', () => {
clientDisconnected = true
})
// 模拟客户端断开
req.emit('close')
expect(clientDisconnected).toBe(true)
})
it('should detect pre-destroyed request', () => {
const { req } = createMockReqRes()
req.destroyed = true
expect(req.destroyed).toBe(true)
})
})
describe('Exponential Backoff Simulation', () => {
it('should increase poll interval with backoff', () => {
const config = {
pollIntervalMs: 200,
maxPollIntervalMs: 2000,
backoffFactor: 1.5,
jitterRatio: 0 // 禁用抖动以便测试
}
let interval = config.pollIntervalMs
const intervals = [interval]
for (let i = 0; i < 5; i++) {
interval = Math.min(interval * config.backoffFactor, config.maxPollIntervalMs)
intervals.push(interval)
}
// 验证指数增长
expect(intervals[1]).toBe(300) // 200 * 1.5
expect(intervals[2]).toBe(450) // 300 * 1.5
expect(intervals[3]).toBe(675) // 450 * 1.5
expect(intervals[4]).toBe(1012.5) // 675 * 1.5
expect(intervals[5]).toBe(1518.75) // 1012.5 * 1.5
})
it('should cap interval at maximum', () => {
const config = {
pollIntervalMs: 1000,
maxPollIntervalMs: 2000,
backoffFactor: 1.5
}
let interval = config.pollIntervalMs
for (let i = 0; i < 10; i++) {
interval = Math.min(interval * config.backoffFactor, config.maxPollIntervalMs)
}
expect(interval).toBe(2000)
})
it('should apply jitter within expected range', () => {
const baseInterval = 1000
const jitterRatio = 0.2 // ±20%
const results = []
for (let i = 0; i < 100; i++) {
const randomValue = Math.random()
const jitter = baseInterval * jitterRatio * (randomValue * 2 - 1)
const finalInterval = baseInterval + jitter
results.push(finalInterval)
}
const min = Math.min(...results)
const max = Math.max(...results)
// 所有结果应该在 [800, 1200] 范围内
expect(min).toBeGreaterThanOrEqual(800)
expect(max).toBeLessThanOrEqual(1200)
})
})
})
// ============================================
// 第二部分:并发竞争场景测试
// ============================================
describe('Part 2: Concurrent Race Condition Tests', () => {
beforeEach(() => {
jest.clearAllMocks()
})
afterEach(() => {
jest.restoreAllMocks()
})
describe('Race Condition: Multiple Requests Competing for Same Slot', () => {
it('should handle race condition when multiple requests try to acquire last slot', async () => {
const keyId = 'race-test-1'
const concurrencyLimit = 1
const concurrencyState = { count: 0, holders: new Set() }
// 模拟原子的 incrConcurrency
jest.spyOn(redis, 'incrConcurrency').mockImplementation(async (key, reqId) => {
// 模拟原子操作
concurrencyState.count++
concurrencyState.holders.add(reqId)
return concurrencyState.count
})
jest.spyOn(redis, 'decrConcurrency').mockImplementation(async (key, reqId) => {
if (concurrencyState.holders.has(reqId)) {
concurrencyState.count--
concurrencyState.holders.delete(reqId)
}
return concurrencyState.count
})
// 5个请求同时竞争1个槽位
const requests = Array.from({ length: 5 }, (_, i) => `req-${i + 1}`)
const acquireResults = await Promise.all(
requests.map(async (reqId) => {
const count = await redis.incrConcurrency(keyId, reqId, 300)
const acquired = count <= concurrencyLimit
if (!acquired) {
// 超限,释放
await redis.decrConcurrency(keyId, reqId)
}
return { reqId, count, acquired }
})
)
// 只有一个请求应该成功获取槽位
const successfulAcquires = acquireResults.filter((r) => r.acquired)
expect(successfulAcquires.length).toBe(1)
// 最终并发计数应该是1
expect(concurrencyState.count).toBe(1)
})
it('should maintain consistency under high contention', async () => {
const keyId = 'race-test-2'
const concurrencyLimit = 3
const requestCount = 20
const concurrencyState = { count: 0, maxSeen: 0 }
jest.spyOn(redis, 'incrConcurrency').mockImplementation(async () => {
concurrencyState.count++
concurrencyState.maxSeen = Math.max(concurrencyState.maxSeen, concurrencyState.count)
return concurrencyState.count
})
jest.spyOn(redis, 'decrConcurrency').mockImplementation(async () => {
concurrencyState.count = Math.max(0, concurrencyState.count - 1)
return concurrencyState.count
})
// 模拟多轮请求
const activeRequests = []
for (let i = 0; i < requestCount; i++) {
const count = await redis.incrConcurrency(keyId, `req-${i}`, 300)
if (count <= concurrencyLimit) {
activeRequests.push(`req-${i}`)
// 模拟处理时间后释放
setTimeout(async () => {
await redis.decrConcurrency(keyId, `req-${i}`)
}, Math.random() * 50)
} else {
await redis.decrConcurrency(keyId, `req-${i}`)
}
// 随机延迟
await sleep(Math.random() * 10)
}
// 等待所有请求完成
await sleep(100)
// 最大并发不应超过限制
expect(concurrencyState.maxSeen).toBeLessThanOrEqual(concurrencyLimit + requestCount) // 允许短暂超限
})
})
describe('Queue Overflow Protection', () => {
it('should reject requests when queue is full', async () => {
const keyId = 'overflow-test-1'
const maxQueueSize = 5
const queueState = { count: 0 }
jest.spyOn(redis, 'incrConcurrencyQueue').mockImplementation(async () => {
queueState.count++
return queueState.count
})
jest.spyOn(redis, 'decrConcurrencyQueue').mockImplementation(async () => {
queueState.count = Math.max(0, queueState.count - 1)
return queueState.count
})
const results = []
// 尝试10个请求进入队列
for (let i = 0; i < 10; i++) {
const queueCount = await redis.incrConcurrencyQueue(keyId, 60000)
if (queueCount > maxQueueSize) {
// 队列满,释放并拒绝
await redis.decrConcurrencyQueue(keyId)
results.push({ index: i, accepted: false })
} else {
results.push({ index: i, accepted: true, position: queueCount })
}
}
const accepted = results.filter((r) => r.accepted)
const rejected = results.filter((r) => !r.accepted)
expect(accepted.length).toBe(5)
expect(rejected.length).toBe(5)
})
})
})
// ============================================
// 第三部分:真实 Redis 集成测试(可选)
// ============================================
describe('Part 3: Real Redis Integration Tests', () => {
const skipRealRedis = !process.env.REDIS_TEST
// 辅助函数:检查 Redis 连接
async function checkRedisConnection() {
try {
const client = redis.getClient()
if (!client) {
return false
}
await client.ping()
return true
} catch {
return false
}
}
beforeAll(async () => {
if (skipRealRedis) {
console.log('⏭️ Skipping real Redis tests (set REDIS_TEST=1 to enable)')
return
}
const connected = await checkRedisConnection()
if (!connected) {
console.log('⚠️ Redis not connected, skipping real Redis tests')
}
})
// 清理测试数据
afterEach(async () => {
if (skipRealRedis) {
return
}
try {
const client = redis.getClient()
if (!client) {
return
}
// 清理测试键
const testKeys = await client.keys('concurrency:queue:test-*')
if (testKeys.length > 0) {
await client.del(...testKeys)
}
} catch {
// 忽略清理错误
}
})
describe('Redis Queue Operations', () => {
const testOrSkip = skipRealRedis ? it.skip : it
testOrSkip('should atomically increment queue count with TTL', async () => {
const keyId = 'test-redis-queue-1'
const timeoutMs = 5000
const count1 = await redis.incrConcurrencyQueue(keyId, timeoutMs)
expect(count1).toBe(1)
const count2 = await redis.incrConcurrencyQueue(keyId, timeoutMs)
expect(count2).toBe(2)
// 验证 TTL 被设置
const client = redis.getClient()
const ttl = await client.ttl(`concurrency:queue:${keyId}`)
expect(ttl).toBeGreaterThan(0)
expect(ttl).toBeLessThanOrEqual(Math.ceil(timeoutMs / 1000) + 30)
})
testOrSkip('should atomically decrement and delete when zero', async () => {
const keyId = 'test-redis-queue-2'
await redis.incrConcurrencyQueue(keyId, 60000)
const count = await redis.decrConcurrencyQueue(keyId)
expect(count).toBe(0)
// 验证键已删除
const client = redis.getClient()
const exists = await client.exists(`concurrency:queue:${keyId}`)
expect(exists).toBe(0)
})
testOrSkip('should handle concurrent increments correctly', async () => {
const keyId = 'test-redis-queue-3'
const numRequests = 10
// 并发增加
const results = await Promise.all(
Array.from({ length: numRequests }, () => redis.incrConcurrencyQueue(keyId, 60000))
)
// 所有结果应该是 1 到 numRequests
const sorted = [...results].sort((a, b) => a - b)
expect(sorted).toEqual(Array.from({ length: numRequests }, (_, i) => i + 1))
})
})
describe('Redis Stats Operations', () => {
const testOrSkip = skipRealRedis ? it.skip : it
testOrSkip('should track queue statistics correctly', async () => {
const keyId = 'test-redis-stats-1'
await redis.incrConcurrencyQueueStats(keyId, 'entered')
await redis.incrConcurrencyQueueStats(keyId, 'entered')
await redis.incrConcurrencyQueueStats(keyId, 'success')
await redis.incrConcurrencyQueueStats(keyId, 'timeout')
const stats = await redis.getConcurrencyQueueStats(keyId)
expect(stats.entered).toBe(2)
expect(stats.success).toBe(1)
expect(stats.timeout).toBe(1)
expect(stats.cancelled).toBe(0)
})
testOrSkip('should record and retrieve wait times', async () => {
const keyId = 'test-redis-wait-1'
const waitTimes = [100, 200, 150, 300, 250]
for (const wt of waitTimes) {
await redis.recordQueueWaitTime(keyId, wt)
}
const recorded = await redis.getQueueWaitTimes(keyId)
// 应该按 LIFO 顺序存储
expect(recorded.length).toBe(5)
expect(recorded[0]).toBe(250) // 最后插入的在前面
})
testOrSkip('should record global wait times', async () => {
const waitTimes = [500, 600, 700]
for (const wt of waitTimes) {
await redis.recordGlobalQueueWaitTime(wt)
}
const recorded = await redis.getGlobalQueueWaitTimes()
expect(recorded.length).toBeGreaterThanOrEqual(3)
})
})
describe('Redis Cleanup Operations', () => {
const testOrSkip = skipRealRedis ? it.skip : it
testOrSkip('should clear specific queue', async () => {
const keyId = 'test-redis-clear-1'
await redis.incrConcurrencyQueue(keyId, 60000)
await redis.incrConcurrencyQueue(keyId, 60000)
const cleared = await redis.clearConcurrencyQueue(keyId)
expect(cleared).toBe(true)
const count = await redis.getConcurrencyQueueCount(keyId)
expect(count).toBe(0)
})
testOrSkip('should clear all queues but preserve stats', async () => {
const keyId1 = 'test-redis-clearall-1'
const keyId2 = 'test-redis-clearall-2'
// 创建队列和统计
await redis.incrConcurrencyQueue(keyId1, 60000)
await redis.incrConcurrencyQueue(keyId2, 60000)
await redis.incrConcurrencyQueueStats(keyId1, 'entered')
// 清理所有队列
const cleared = await redis.clearAllConcurrencyQueues()
expect(cleared).toBeGreaterThanOrEqual(2)
// 验证队列已清理
const count1 = await redis.getConcurrencyQueueCount(keyId1)
const count2 = await redis.getConcurrencyQueueCount(keyId2)
expect(count1).toBe(0)
expect(count2).toBe(0)
// 统计应该保留
const stats = await redis.getConcurrencyQueueStats(keyId1)
expect(stats.entered).toBe(1)
})
})
})
// ============================================
// 第四部分:配置服务集成测试
// ============================================
describe('Part 4: Configuration Service Integration', () => {
beforeEach(() => {
// 清除配置缓存
claudeRelayConfigService.clearCache()
})
afterEach(() => {
jest.restoreAllMocks()
})
describe('Queue Configuration', () => {
it('should return default queue configuration', async () => {
jest.spyOn(redis, 'getClient').mockReturnValue(null)
const config = await claudeRelayConfigService.getConfig()
expect(config.concurrentRequestQueueEnabled).toBe(false)
expect(config.concurrentRequestQueueMaxSize).toBe(3)
expect(config.concurrentRequestQueueMaxSizeMultiplier).toBe(0)
expect(config.concurrentRequestQueueTimeoutMs).toBe(10000)
})
it('should calculate max queue size correctly', async () => {
const testCases = [
{ concurrencyLimit: 5, multiplier: 2, fixedMin: 3, expected: 10 }, // 5*2=10 > 3
{ concurrencyLimit: 1, multiplier: 1, fixedMin: 5, expected: 5 }, // 1*1=1 < 5
{ concurrencyLimit: 10, multiplier: 0.5, fixedMin: 3, expected: 5 }, // 10*0.5=5 > 3
{ concurrencyLimit: 2, multiplier: 1, fixedMin: 10, expected: 10 } // 2*1=2 < 10
]
for (const tc of testCases) {
const maxQueueSize = Math.max(tc.concurrencyLimit * tc.multiplier, tc.fixedMin)
expect(maxQueueSize).toBe(tc.expected)
}
})
})
})
// ============================================
// 第五部分:端到端场景测试
// ============================================
describe('Part 5: End-to-End Scenario Tests', () => {
describe('Scenario: Claude Code Agent Parallel Tool Calls', () => {
it('should handle burst of parallel tool results', async () => {
// 模拟 Claude Code Agent 发送多个并行工具结果的场景
const concurrencyLimit = 2
const maxQueueSize = 5
const state = {
concurrency: 0,
queue: 0,
completed: 0,
rejected: 0
}
// 模拟 8 个并行工具结果请求
const requests = Array.from({ length: 8 }, (_, i) => ({
id: `tool-result-${i + 1}`,
startTime: Date.now()
}))
// 模拟处理逻辑
async function processRequest(req) {
// 尝试获取并发槽位
state.concurrency++
if (state.concurrency > concurrencyLimit) {
// 超限,进入队列
state.concurrency--
state.queue++
if (state.queue > maxQueueSize) {
// 队列满,拒绝
state.queue--
state.rejected++
return { ...req, status: 'rejected', reason: 'queue_full' }
}
// 等待槽位(模拟)
await sleep(Math.random() * 100)
state.queue--
state.concurrency++
}
// 处理请求
await sleep(50) // 模拟处理时间
state.concurrency--
state.completed++
return { ...req, status: 'completed', duration: Date.now() - req.startTime }
}
const results = await Promise.all(requests.map(processRequest))
const completed = results.filter((r) => r.status === 'completed')
const rejected = results.filter((r) => r.status === 'rejected')
// 大部分请求应该完成
expect(completed.length).toBeGreaterThan(0)
// 可能有一些被拒绝
expect(state.rejected).toBe(rejected.length)
console.log(
` ✓ Completed: ${completed.length}, Rejected: ${rejected.length}, Max concurrent: ${concurrencyLimit}`
)
})
})
describe('Scenario: Graceful Degradation', () => {
it('should fallback when Redis fails', async () => {
jest
.spyOn(redis, 'incrConcurrencyQueue')
.mockRejectedValue(new Error('Redis connection lost'))
// 模拟降级行为Redis 失败时直接拒绝而不是崩溃
let result
try {
await redis.incrConcurrencyQueue('fallback-test', 60000)
result = { success: true }
} catch (error) {
// 优雅降级:返回 429 而不是 500
result = { success: false, fallback: true, error: error.message }
}
expect(result.fallback).toBe(true)
expect(result.error).toContain('Redis')
})
})
describe('Scenario: Timeout Behavior', () => {
it('should respect queue timeout', async () => {
const timeoutMs = 100
const startTime = Date.now()
// 模拟等待超时
await new Promise((resolve) => setTimeout(resolve, timeoutMs))
const elapsed = Date.now() - startTime
expect(elapsed).toBeGreaterThanOrEqual(timeoutMs - 10) // 允许 10ms 误差
})
it('should track timeout statistics', async () => {
const stats = { entered: 0, success: 0, timeout: 0, cancelled: 0 }
// 模拟多个请求,部分超时
const requests = [
{ id: 'req-1', willTimeout: false },
{ id: 'req-2', willTimeout: true },
{ id: 'req-3', willTimeout: false },
{ id: 'req-4', willTimeout: true }
]
for (const req of requests) {
stats.entered++
if (req.willTimeout) {
stats.timeout++
} else {
stats.success++
}
}
expect(stats.entered).toBe(4)
expect(stats.success).toBe(2)
expect(stats.timeout).toBe(2)
// 成功率应该是 50%
const successRate = (stats.success / stats.entered) * 100
expect(successRate).toBe(50)
})
})
})
})

View File

@@ -0,0 +1,278 @@
/**
* 并发请求排队功能测试
* 测试排队逻辑中的核心算法:百分位数计算、等待时间统计、指数退避等
*
* 注意Redis 方法的测试需要集成测试环境,这里主要测试纯算法逻辑
*/
// Mock logger to avoid console output during tests
jest.mock('../src/utils/logger', () => ({
api: jest.fn(),
warn: jest.fn(),
error: jest.fn(),
info: jest.fn(),
database: jest.fn(),
security: jest.fn()
}))
// 使用共享的统计工具函数(与生产代码一致)
const { getPercentile, calculateWaitTimeStats } = require('../src/utils/statsHelper')
describe('ConcurrencyQueue', () => {
describe('Percentile Calculation (nearest-rank method)', () => {
// 直接测试共享工具函数,确保与生产代码行为一致
it('should return 0 for empty array', () => {
expect(getPercentile([], 50)).toBe(0)
})
it('should return single element for single-element array', () => {
expect(getPercentile([100], 50)).toBe(100)
expect(getPercentile([100], 99)).toBe(100)
})
it('should return min for percentile 0', () => {
expect(getPercentile([10, 20, 30, 40, 50], 0)).toBe(10)
})
it('should return max for percentile 100', () => {
expect(getPercentile([10, 20, 30, 40, 50], 100)).toBe(50)
})
it('should calculate P50 correctly for len=10', () => {
// For [10, 20, 30, 40, 50, 60, 70, 80, 90, 100] (len=10)
// P50: ceil(50/100 * 10) - 1 = ceil(5) - 1 = 4 → value at index 4 = 50
const arr = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
expect(getPercentile(arr, 50)).toBe(50)
})
it('should calculate P90 correctly for len=10', () => {
// For len=10, P90: ceil(90/100 * 10) - 1 = ceil(9) - 1 = 8 → value at index 8 = 90
const arr = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
expect(getPercentile(arr, 90)).toBe(90)
})
it('should calculate P99 correctly for len=100', () => {
// For len=100, P99: ceil(99/100 * 100) - 1 = ceil(99) - 1 = 98
const arr = Array.from({ length: 100 }, (_, i) => i + 1)
expect(getPercentile(arr, 99)).toBe(99)
})
it('should handle two-element array correctly', () => {
// For [10, 20] (len=2)
// P50: ceil(50/100 * 2) - 1 = ceil(1) - 1 = 0 → value = 10
expect(getPercentile([10, 20], 50)).toBe(10)
})
it('should handle negative percentile as 0', () => {
expect(getPercentile([10, 20, 30], -10)).toBe(10)
})
it('should handle percentile > 100 as 100', () => {
expect(getPercentile([10, 20, 30], 150)).toBe(30)
})
})
describe('Wait Time Stats Calculation', () => {
// 直接测试共享工具函数
it('should return null for empty array', () => {
expect(calculateWaitTimeStats([])).toBeNull()
})
it('should return null for null input', () => {
expect(calculateWaitTimeStats(null)).toBeNull()
})
it('should return null for undefined input', () => {
expect(calculateWaitTimeStats(undefined)).toBeNull()
})
it('should calculate stats correctly for typical data', () => {
const waitTimes = [100, 200, 150, 300, 250, 180, 220, 280, 190, 210]
const stats = calculateWaitTimeStats(waitTimes)
expect(stats.count).toBe(10)
expect(stats.min).toBe(100)
expect(stats.max).toBe(300)
// Sum: 100+150+180+190+200+210+220+250+280+300 = 2080
expect(stats.avg).toBe(208)
expect(stats.sampleSizeWarning).toBeUndefined()
})
it('should add warning for small sample size (< 10)', () => {
const waitTimes = [100, 200, 300]
const stats = calculateWaitTimeStats(waitTimes)
expect(stats.count).toBe(3)
expect(stats.sampleSizeWarning).toBe('Results may be inaccurate due to small sample size')
})
it('should handle single value', () => {
const stats = calculateWaitTimeStats([500])
expect(stats.count).toBe(1)
expect(stats.min).toBe(500)
expect(stats.max).toBe(500)
expect(stats.avg).toBe(500)
expect(stats.p50).toBe(500)
expect(stats.p90).toBe(500)
expect(stats.p99).toBe(500)
})
it('should sort input array before calculating', () => {
const waitTimes = [500, 100, 300, 200, 400]
const stats = calculateWaitTimeStats(waitTimes)
expect(stats.min).toBe(100)
expect(stats.max).toBe(500)
})
it('should not modify original array', () => {
const waitTimes = [500, 100, 300]
calculateWaitTimeStats(waitTimes)
expect(waitTimes).toEqual([500, 100, 300])
})
})
describe('Exponential Backoff with Jitter', () => {
/**
* 指数退避计算函数(与 auth.js 中的实现一致)
* @param {number} currentInterval - 当前轮询间隔
* @param {number} backoffFactor - 退避系数
* @param {number} jitterRatio - 抖动比例
* @param {number} maxInterval - 最大间隔
* @param {number} randomValue - 随机值 [0, 1),用于确定性测试
*/
function calculateNextInterval(
currentInterval,
backoffFactor,
jitterRatio,
maxInterval,
randomValue
) {
let nextInterval = currentInterval * backoffFactor
// 抖动范围:[-jitterRatio, +jitterRatio]
const jitter = nextInterval * jitterRatio * (randomValue * 2 - 1)
nextInterval = nextInterval + jitter
return Math.max(1, Math.min(nextInterval, maxInterval))
}
it('should apply exponential backoff without jitter (randomValue=0.5)', () => {
// randomValue = 0.5 gives jitter = 0
const next = calculateNextInterval(100, 1.5, 0.2, 1000, 0.5)
expect(next).toBe(150) // 100 * 1.5 = 150
})
it('should apply maximum positive jitter (randomValue=1.0)', () => {
// randomValue = 1.0 gives maximum positive jitter (+20%)
const next = calculateNextInterval(100, 1.5, 0.2, 1000, 1.0)
// 100 * 1.5 = 150, jitter = 150 * 0.2 * 1 = 30
expect(next).toBe(180) // 150 + 30
})
it('should apply maximum negative jitter (randomValue=0.0)', () => {
// randomValue = 0.0 gives maximum negative jitter (-20%)
const next = calculateNextInterval(100, 1.5, 0.2, 1000, 0.0)
// 100 * 1.5 = 150, jitter = 150 * 0.2 * -1 = -30
expect(next).toBe(120) // 150 - 30
})
it('should respect maximum interval', () => {
const next = calculateNextInterval(800, 1.5, 0.2, 1000, 1.0)
// 800 * 1.5 = 1200, with +20% jitter = 1440, capped at 1000
expect(next).toBe(1000)
})
it('should never go below 1ms even with extreme negative jitter', () => {
const next = calculateNextInterval(1, 1.0, 0.9, 1000, 0.0)
// 1 * 1.0 = 1, jitter = 1 * 0.9 * -1 = -0.9
// 1 - 0.9 = 0.1, but Math.max(1, ...) ensures minimum is 1
expect(next).toBe(1)
})
it('should handle zero jitter ratio', () => {
const next = calculateNextInterval(100, 2.0, 0, 1000, 0.0)
expect(next).toBe(200) // Pure exponential, no jitter
})
it('should handle large backoff factor', () => {
const next = calculateNextInterval(100, 3.0, 0.1, 1000, 0.5)
expect(next).toBe(300) // 100 * 3.0 = 300
})
describe('jitter distribution', () => {
it('should produce values in expected range', () => {
const results = []
// Test with various random values
for (let r = 0; r <= 1; r += 0.1) {
results.push(calculateNextInterval(100, 1.5, 0.2, 1000, r))
}
// All values should be between 120 (150 - 30) and 180 (150 + 30)
expect(Math.min(...results)).toBeGreaterThanOrEqual(120)
expect(Math.max(...results)).toBeLessThanOrEqual(180)
})
})
})
describe('Queue Size Calculation', () => {
/**
* 最大排队数计算(与 auth.js 中的实现一致)
*/
function calculateMaxQueueSize(concurrencyLimit, multiplier, fixedMin) {
return Math.max(concurrencyLimit * multiplier, fixedMin)
}
it('should use multiplier when result is larger', () => {
// concurrencyLimit=10, multiplier=2, fixedMin=5
// max(10*2, 5) = max(20, 5) = 20
expect(calculateMaxQueueSize(10, 2, 5)).toBe(20)
})
it('should use fixed minimum when multiplier result is smaller', () => {
// concurrencyLimit=2, multiplier=1, fixedMin=5
// max(2*1, 5) = max(2, 5) = 5
expect(calculateMaxQueueSize(2, 1, 5)).toBe(5)
})
it('should handle zero multiplier', () => {
// concurrencyLimit=10, multiplier=0, fixedMin=3
// max(10*0, 3) = max(0, 3) = 3
expect(calculateMaxQueueSize(10, 0, 3)).toBe(3)
})
it('should handle fractional multiplier', () => {
// concurrencyLimit=10, multiplier=1.5, fixedMin=5
// max(10*1.5, 5) = max(15, 5) = 15
expect(calculateMaxQueueSize(10, 1.5, 5)).toBe(15)
})
})
describe('TTL Calculation', () => {
/**
* 排队计数器 TTL 计算(与 redis.js 中的实现一致)
*/
function calculateQueueTtl(timeoutMs, bufferSeconds = 30) {
return Math.ceil(timeoutMs / 1000) + bufferSeconds
}
it('should calculate TTL with default buffer', () => {
// 60000ms = 60s + 30s buffer = 90s
expect(calculateQueueTtl(60000)).toBe(90)
})
it('should round up milliseconds to seconds', () => {
// 61500ms = ceil(61.5) = 62s + 30s = 92s
expect(calculateQueueTtl(61500)).toBe(92)
})
it('should handle custom buffer', () => {
// 30000ms = 30s + 60s buffer = 90s
expect(calculateQueueTtl(30000, 60)).toBe(90)
})
it('should handle very short timeout', () => {
// 1000ms = 1s + 30s = 31s
expect(calculateQueueTtl(1000)).toBe(31)
})
})
})

View File

@@ -0,0 +1,434 @@
/**
* 用户消息队列服务测试
* 测试消息类型检测、队列串行行为、延迟间隔、超时处理和功能开关
*/
const redis = require('../src/models/redis')
const userMessageQueueService = require('../src/services/userMessageQueueService')
describe('UserMessageQueueService', () => {
describe('isUserMessageRequest', () => {
it('should return true when last message role is user', () => {
const requestBody = {
messages: [
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Hi there' },
{ role: 'user', content: 'How are you?' }
]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(true)
})
it('should return false when last message role is assistant', () => {
const requestBody = {
messages: [
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Hi there' }
]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
it('should return false when last message contains tool_result', () => {
const requestBody = {
messages: [
{ role: 'user', content: 'Hello' },
{ role: 'assistant', content: 'Let me check that' },
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: 'test-id',
content: 'Tool result'
}
]
}
]
}
// tool_result 消息虽然 role 是 user但不是真正的用户消息
// 应该返回 false不进入用户消息队列
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
it('should return false when last message contains multiple tool_results', () => {
const requestBody = {
messages: [
{ role: 'user', content: 'Run multiple tools' },
{
role: 'user',
content: [
{
type: 'tool_result',
tool_use_id: 'tool-1',
content: 'Result 1'
},
{
type: 'tool_result',
tool_use_id: 'tool-2',
content: 'Result 2'
}
]
}
]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
it('should return true when user message has array content with text type', () => {
const requestBody = {
messages: [
{
role: 'user',
content: [
{
type: 'text',
text: 'Hello, this is a user message'
}
]
}
]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(true)
})
it('should return true when user message has mixed text and image content', () => {
const requestBody = {
messages: [
{
role: 'user',
content: [
{
type: 'text',
text: 'What is in this image?'
},
{
type: 'image',
source: { type: 'base64', media_type: 'image/png', data: '...' }
}
]
}
]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(true)
})
it('should return false when messages is empty', () => {
const requestBody = { messages: [] }
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
it('should return false when messages is not an array', () => {
const requestBody = { messages: 'not an array' }
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
it('should return false when messages is undefined', () => {
const requestBody = {}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
it('should return false when requestBody is null', () => {
expect(userMessageQueueService.isUserMessageRequest(null)).toBe(false)
})
it('should return false when requestBody is undefined', () => {
expect(userMessageQueueService.isUserMessageRequest(undefined)).toBe(false)
})
it('should return false when last message has no role', () => {
const requestBody = {
messages: [{ content: 'Hello' }]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
it('should handle single user message', () => {
const requestBody = {
messages: [{ role: 'user', content: 'Hello' }]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(true)
})
it('should handle single assistant message', () => {
const requestBody = {
messages: [{ role: 'assistant', content: 'Hello' }]
}
expect(userMessageQueueService.isUserMessageRequest(requestBody)).toBe(false)
})
})
describe('getConfig', () => {
it('should return config with expected properties', async () => {
const config = await userMessageQueueService.getConfig()
expect(config).toHaveProperty('enabled')
expect(config).toHaveProperty('delayMs')
expect(config).toHaveProperty('timeoutMs')
expect(config).toHaveProperty('lockTtlMs')
expect(typeof config.enabled).toBe('boolean')
expect(typeof config.delayMs).toBe('number')
expect(typeof config.timeoutMs).toBe('number')
expect(typeof config.lockTtlMs).toBe('number')
})
})
describe('isEnabled', () => {
it('should return boolean', async () => {
const enabled = await userMessageQueueService.isEnabled()
expect(typeof enabled).toBe('boolean')
})
})
describe('acquireQueueLock', () => {
afterEach(() => {
jest.restoreAllMocks()
})
it('should acquire lock immediately when no lock exists', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: true,
delayMs: 200,
timeoutMs: 30000,
lockTtlMs: 120000
})
jest.spyOn(redis, 'acquireUserMessageLock').mockResolvedValue({
acquired: true,
waitMs: 0
})
const result = await userMessageQueueService.acquireQueueLock('acct-1', 'req-1')
expect(result.acquired).toBe(true)
expect(result.requestId).toBe('req-1')
expect(result.error).toBeUndefined()
})
it('should skip lock acquisition when queue disabled', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: false,
delayMs: 200,
timeoutMs: 30000,
lockTtlMs: 120000
})
const acquireSpy = jest.spyOn(redis, 'acquireUserMessageLock')
const result = await userMessageQueueService.acquireQueueLock('acct-1')
expect(result.acquired).toBe(true)
expect(result.skipped).toBe(true)
expect(acquireSpy).not.toHaveBeenCalled()
})
it('should generate requestId when not provided', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: true,
delayMs: 200,
timeoutMs: 30000,
lockTtlMs: 120000
})
jest.spyOn(redis, 'acquireUserMessageLock').mockResolvedValue({
acquired: true,
waitMs: 0
})
const result = await userMessageQueueService.acquireQueueLock('acct-1')
expect(result.acquired).toBe(true)
expect(result.requestId).toBeDefined()
expect(result.requestId.length).toBeGreaterThan(0)
})
it('should wait and retry when lock is held by another request', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: true,
delayMs: 200,
timeoutMs: 1000,
lockTtlMs: 120000
})
let callCount = 0
jest.spyOn(redis, 'acquireUserMessageLock').mockImplementation(async () => {
callCount++
if (callCount < 3) {
return { acquired: false, waitMs: -1 } // lock held
}
return { acquired: true, waitMs: 0 }
})
// Mock sleep to speed up test
jest.spyOn(userMessageQueueService, '_sleep').mockResolvedValue(undefined)
const result = await userMessageQueueService.acquireQueueLock('acct-1', 'req-1')
expect(result.acquired).toBe(true)
expect(callCount).toBe(3)
})
it('should respect delay when previous request just completed', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: true,
delayMs: 200,
timeoutMs: 1000,
lockTtlMs: 120000
})
let callCount = 0
jest.spyOn(redis, 'acquireUserMessageLock').mockImplementation(async () => {
callCount++
if (callCount === 1) {
return { acquired: false, waitMs: 150 } // need to wait 150ms for delay
}
return { acquired: true, waitMs: 0 }
})
const sleepSpy = jest.spyOn(userMessageQueueService, '_sleep').mockResolvedValue(undefined)
const result = await userMessageQueueService.acquireQueueLock('acct-1', 'req-1')
expect(result.acquired).toBe(true)
expect(sleepSpy).toHaveBeenCalledWith(150) // Should wait for delay
})
it('should timeout and return error when wait exceeds timeout', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: true,
delayMs: 200,
timeoutMs: 100, // very short timeout
lockTtlMs: 120000
})
jest.spyOn(redis, 'acquireUserMessageLock').mockResolvedValue({
acquired: false,
waitMs: -1 // always held
})
// Use real timers for timeout test but mock sleep to be instant
jest.spyOn(userMessageQueueService, '_sleep').mockImplementation(async () => {
// Simulate time passing
await new Promise((resolve) => setTimeout(resolve, 60))
})
const result = await userMessageQueueService.acquireQueueLock('acct-1', 'req-1', 100)
expect(result.acquired).toBe(false)
expect(result.error).toBe('queue_timeout')
})
})
describe('releaseQueueLock', () => {
afterEach(() => {
jest.restoreAllMocks()
})
it('should release lock successfully when holding the lock', async () => {
jest.spyOn(redis, 'releaseUserMessageLock').mockResolvedValue(true)
const result = await userMessageQueueService.releaseQueueLock('acct-1', 'req-1')
expect(result).toBe(true)
expect(redis.releaseUserMessageLock).toHaveBeenCalledWith('acct-1', 'req-1')
})
it('should return false when not holding the lock', async () => {
jest.spyOn(redis, 'releaseUserMessageLock').mockResolvedValue(false)
const result = await userMessageQueueService.releaseQueueLock('acct-1', 'req-1')
expect(result).toBe(false)
})
it('should return false when accountId is missing', async () => {
const releaseSpy = jest.spyOn(redis, 'releaseUserMessageLock')
const result = await userMessageQueueService.releaseQueueLock(null, 'req-1')
expect(result).toBe(false)
expect(releaseSpy).not.toHaveBeenCalled()
})
it('should return false when requestId is missing', async () => {
const releaseSpy = jest.spyOn(redis, 'releaseUserMessageLock')
const result = await userMessageQueueService.releaseQueueLock('acct-1', null)
expect(result).toBe(false)
expect(releaseSpy).not.toHaveBeenCalled()
})
})
describe('queue serialization behavior', () => {
afterEach(() => {
jest.restoreAllMocks()
})
it('should allow different accounts to acquire locks simultaneously', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: true,
delayMs: 200,
timeoutMs: 30000,
lockTtlMs: 120000
})
jest.spyOn(redis, 'acquireUserMessageLock').mockResolvedValue({
acquired: true,
waitMs: 0
})
const [result1, result2] = await Promise.all([
userMessageQueueService.acquireQueueLock('acct-1', 'req-1'),
userMessageQueueService.acquireQueueLock('acct-2', 'req-2')
])
expect(result1.acquired).toBe(true)
expect(result2.acquired).toBe(true)
})
it('should serialize requests for same account', async () => {
jest.spyOn(userMessageQueueService, 'getConfig').mockResolvedValue({
enabled: true,
delayMs: 50,
timeoutMs: 5000,
lockTtlMs: 120000
})
const lockState = { held: false, holderId: null }
jest
.spyOn(redis, 'acquireUserMessageLock')
.mockImplementation(async (accountId, requestId) => {
if (!lockState.held) {
lockState.held = true
lockState.holderId = requestId
return { acquired: true, waitMs: 0 }
}
return { acquired: false, waitMs: -1 }
})
jest
.spyOn(redis, 'releaseUserMessageLock')
.mockImplementation(async (accountId, requestId) => {
if (lockState.holderId === requestId) {
lockState.held = false
lockState.holderId = null
return true
}
return false
})
jest.spyOn(userMessageQueueService, '_sleep').mockResolvedValue(undefined)
// First request acquires lock
const result1 = await userMessageQueueService.acquireQueueLock('acct-1', 'req-1')
expect(result1.acquired).toBe(true)
// Second request should fail to acquire (lock held)
const acquirePromise = userMessageQueueService.acquireQueueLock('acct-1', 'req-2', 200)
// Release first lock
await userMessageQueueService.releaseQueueLock('acct-1', 'req-1')
// Now second request should acquire
const result2 = await acquirePromise
expect(result2.acquired).toBe(true)
})
})
})

View File

@@ -1157,7 +1157,6 @@
"resolved": "https://registry.npmmirror.com/@types/lodash-es/-/lodash-es-4.17.12.tgz", "resolved": "https://registry.npmmirror.com/@types/lodash-es/-/lodash-es-4.17.12.tgz",
"integrity": "sha512-0NgftHUcV4v34VhXm8QBSftKVXtbkBG3ViCjs6+eJ5a6y6Mi/jiFGPc1sC7QK+9BFhWrURE3EOggmWaSxL9OzQ==", "integrity": "sha512-0NgftHUcV4v34VhXm8QBSftKVXtbkBG3ViCjs6+eJ5a6y6Mi/jiFGPc1sC7QK+9BFhWrURE3EOggmWaSxL9OzQ==",
"license": "MIT", "license": "MIT",
"peer": true,
"dependencies": { "dependencies": {
"@types/lodash": "*" "@types/lodash": "*"
} }
@@ -1352,7 +1351,6 @@
"integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==", "integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"peer": true,
"bin": { "bin": {
"acorn": "bin/acorn" "acorn": "bin/acorn"
}, },
@@ -1589,7 +1587,6 @@
} }
], ],
"license": "MIT", "license": "MIT",
"peer": true,
"dependencies": { "dependencies": {
"caniuse-lite": "^1.0.30001726", "caniuse-lite": "^1.0.30001726",
"electron-to-chromium": "^1.5.173", "electron-to-chromium": "^1.5.173",
@@ -3063,15 +3060,13 @@
"version": "4.17.21", "version": "4.17.21",
"resolved": "https://registry.npmmirror.com/lodash/-/lodash-4.17.21.tgz", "resolved": "https://registry.npmmirror.com/lodash/-/lodash-4.17.21.tgz",
"integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==",
"license": "MIT", "license": "MIT"
"peer": true
}, },
"node_modules/lodash-es": { "node_modules/lodash-es": {
"version": "4.17.21", "version": "4.17.21",
"resolved": "https://registry.npmmirror.com/lodash-es/-/lodash-es-4.17.21.tgz", "resolved": "https://registry.npmmirror.com/lodash-es/-/lodash-es-4.17.21.tgz",
"integrity": "sha512-mKnC+QJ9pWVzv+C4/U3rRsHapFfHvQFoFB92e52xeyGMcX6/OlIl78je1u8vePzYZSkkogMPJ2yjxxsb89cxyw==", "integrity": "sha512-mKnC+QJ9pWVzv+C4/U3rRsHapFfHvQFoFB92e52xeyGMcX6/OlIl78je1u8vePzYZSkkogMPJ2yjxxsb89cxyw==",
"license": "MIT", "license": "MIT"
"peer": true
}, },
"node_modules/lodash-unified": { "node_modules/lodash-unified": {
"version": "1.0.3", "version": "1.0.3",
@@ -3623,7 +3618,6 @@
} }
], ],
"license": "MIT", "license": "MIT",
"peer": true,
"dependencies": { "dependencies": {
"nanoid": "^3.3.11", "nanoid": "^3.3.11",
"picocolors": "^1.1.1", "picocolors": "^1.1.1",
@@ -3770,7 +3764,6 @@
"integrity": "sha512-I7AIg5boAr5R0FFtJ6rCfD+LFsWHp81dolrFD8S79U9tb8Az2nGrJncnMSnys+bpQJfRUzqs9hnA81OAA3hCuQ==", "integrity": "sha512-I7AIg5boAr5R0FFtJ6rCfD+LFsWHp81dolrFD8S79U9tb8Az2nGrJncnMSnys+bpQJfRUzqs9hnA81OAA3hCuQ==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"peer": true,
"bin": { "bin": {
"prettier": "bin/prettier.cjs" "prettier": "bin/prettier.cjs"
}, },
@@ -4035,7 +4028,6 @@
"integrity": "sha512-33xGNBsDJAkzt0PvninskHlWnTIPgDtTwhg0U38CUoNP/7H6wI2Cz6dUeoNPbjdTdsYTGuiFFASuUOWovH0SyQ==", "integrity": "sha512-33xGNBsDJAkzt0PvninskHlWnTIPgDtTwhg0U38CUoNP/7H6wI2Cz6dUeoNPbjdTdsYTGuiFFASuUOWovH0SyQ==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"peer": true,
"dependencies": { "dependencies": {
"@types/estree": "1.0.8" "@types/estree": "1.0.8"
}, },
@@ -4533,7 +4525,6 @@
"integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==", "integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"peer": true,
"engines": { "engines": {
"node": ">=12" "node": ">=12"
}, },
@@ -4924,7 +4915,6 @@
"integrity": "sha512-qO3aKv3HoQC8QKiNSTuUM1l9o/XX3+c+VTgLHbJWHZGeTPVAg2XwazI9UWzoxjIJCGCV2zU60uqMzjeLZuULqA==", "integrity": "sha512-qO3aKv3HoQC8QKiNSTuUM1l9o/XX3+c+VTgLHbJWHZGeTPVAg2XwazI9UWzoxjIJCGCV2zU60uqMzjeLZuULqA==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"peer": true,
"dependencies": { "dependencies": {
"esbuild": "^0.21.3", "esbuild": "^0.21.3",
"postcss": "^8.4.43", "postcss": "^8.4.43",
@@ -5125,7 +5115,6 @@
"resolved": "https://registry.npmmirror.com/vue/-/vue-3.5.18.tgz", "resolved": "https://registry.npmmirror.com/vue/-/vue-3.5.18.tgz",
"integrity": "sha512-7W4Y4ZbMiQ3SEo+m9lnoNpV9xG7QVMLa+/0RFwwiAVkeYoyGXqWE85jabU4pllJNUzqfLShJ5YLptewhCWUgNA==", "integrity": "sha512-7W4Y4ZbMiQ3SEo+m9lnoNpV9xG7QVMLa+/0RFwwiAVkeYoyGXqWE85jabU4pllJNUzqfLShJ5YLptewhCWUgNA==",
"license": "MIT", "license": "MIT",
"peer": true,
"dependencies": { "dependencies": {
"@vue/compiler-dom": "3.5.18", "@vue/compiler-dom": "3.5.18",
"@vue/compiler-sfc": "3.5.18", "@vue/compiler-sfc": "3.5.18",

View File

@@ -1320,10 +1320,10 @@
class="rounded-lg bg-blue-100 px-3 py-1 text-xs text-blue-700 transition-colors hover:bg-blue-200 dark:bg-blue-900/30 dark:text-blue-400 dark:hover:bg-blue-900/50" class="rounded-lg bg-blue-100 px-3 py-1 text-xs text-blue-700 transition-colors hover:bg-blue-200 dark:bg-blue-900/30 dark:text-blue-400 dark:hover:bg-blue-900/50"
type="button" type="button"
@click=" @click="
addPresetMapping('claude-sonnet-4-20250514', 'claude-sonnet-4-20250514') addPresetMapping('claude-opus-4-5-20251101', 'claude-opus-4-5-20251101')
" "
> >
+ Sonnet 4 + Opus 4.5
</button> </button>
<button <button
class="rounded-lg bg-indigo-100 px-3 py-1 text-xs text-indigo-700 transition-colors hover:bg-indigo-200 dark:bg-indigo-900/30 dark:text-indigo-400 dark:hover:bg-indigo-900/50" class="rounded-lg bg-indigo-100 px-3 py-1 text-xs text-indigo-700 transition-colors hover:bg-indigo-200 dark:bg-indigo-900/30 dark:text-indigo-400 dark:hover:bg-indigo-900/50"
@@ -1334,24 +1334,6 @@
> >
+ Sonnet 4.5 + Sonnet 4.5
</button> </button>
<button
class="rounded-lg bg-purple-100 px-3 py-1 text-xs text-purple-700 transition-colors hover:bg-purple-200 dark:bg-purple-900/30 dark:text-purple-400 dark:hover:bg-purple-900/50"
type="button"
@click="
addPresetMapping('claude-opus-4-1-20250805', 'claude-opus-4-1-20250805')
"
>
+ Opus 4.1
</button>
<button
class="rounded-lg bg-green-100 px-3 py-1 text-xs text-green-700 transition-colors hover:bg-green-200 dark:bg-green-900/30 dark:text-green-400 dark:hover:bg-green-900/50"
type="button"
@click="
addPresetMapping('claude-3-5-haiku-20241022', 'claude-3-5-haiku-20241022')
"
>
+ Haiku 3.5
</button>
<button <button
class="rounded-lg bg-emerald-100 px-3 py-1 text-xs text-emerald-700 transition-colors hover:bg-emerald-200 dark:bg-emerald-900/30 dark:text-emerald-400 dark:hover:bg-emerald-900/50" class="rounded-lg bg-emerald-100 px-3 py-1 text-xs text-emerald-700 transition-colors hover:bg-emerald-200 dark:bg-emerald-900/30 dark:text-emerald-400 dark:hover:bg-emerald-900/50"
type="button" type="button"
@@ -1843,7 +1825,7 @@
> >
请从已登录 Gemini CLI 的机器上获取 请从已登录 Gemini CLI 的机器上获取
<code class="rounded bg-blue-100 px-1 py-0.5 font-mono dark:bg-blue-900/50" <code class="rounded bg-blue-100 px-1 py-0.5 font-mono dark:bg-blue-900/50"
>~/.config/gemini/credentials.json</code >~/.config/.gemini/oauth_creds.json</code
> >
文件中的凭证。 文件中的凭证。
</p> </p>

View File

@@ -2049,7 +2049,7 @@ const bindingCounts = ref({}) // 轻量级绑定计数,用于显示"绑定: X
const accountGroups = ref([]) const accountGroups = ref([])
const groupFilter = ref('all') const groupFilter = ref('all')
const platformFilter = ref('all') const platformFilter = ref('all')
const statusFilter = ref('normal') // 状态过滤 (normal/rateLimited/other/all) const statusFilter = ref('all') // 状态过滤 (normal/rateLimited/other/all)
const searchKeyword = ref('') const searchKeyword = ref('')
const PAGE_SIZE_STORAGE_KEY = 'accountsPageSize' const PAGE_SIZE_STORAGE_KEY = 'accountsPageSize'
const getInitialPageSize = () => { const getInitialPageSize = () => {
@@ -2804,11 +2804,12 @@ const loadAccounts = async (forceReload = false) => {
let openaiResponsesRaw = [] let openaiResponsesRaw = []
const appendAccounts = (platform, data) => { const appendAccounts = (platform, data) => {
if (!data || data.length === 0) return const list = Array.isArray(data) ? data : []
if (list.length === 0) return
switch (platform) { switch (platform) {
case 'claude': { case 'claude': {
const items = data.map((acc) => { const items = list.map((acc) => {
const boundApiKeysCount = counts.claudeAccountId?.[acc.id] || 0 const boundApiKeysCount = counts.claudeAccountId?.[acc.id] || 0
return { ...acc, platform: 'claude', boundApiKeysCount } return { ...acc, platform: 'claude', boundApiKeysCount }
}) })
@@ -2816,7 +2817,7 @@ const loadAccounts = async (forceReload = false) => {
break break
} }
case 'claude-console': { case 'claude-console': {
const items = data.map((acc) => { const items = list.map((acc) => {
const boundApiKeysCount = counts.claudeConsoleAccountId?.[acc.id] || 0 const boundApiKeysCount = counts.claudeConsoleAccountId?.[acc.id] || 0
return { ...acc, platform: 'claude-console', boundApiKeysCount } return { ...acc, platform: 'claude-console', boundApiKeysCount }
}) })
@@ -2824,12 +2825,12 @@ const loadAccounts = async (forceReload = false) => {
break break
} }
case 'bedrock': { case 'bedrock': {
const items = data.map((acc) => ({ ...acc, platform: 'bedrock', boundApiKeysCount: 0 })) const items = list.map((acc) => ({ ...acc, platform: 'bedrock', boundApiKeysCount: 0 }))
allAccounts.push(...items) allAccounts.push(...items)
break break
} }
case 'gemini': { case 'gemini': {
const items = data.map((acc) => { const items = list.map((acc) => {
const boundApiKeysCount = counts.geminiAccountId?.[acc.id] || 0 const boundApiKeysCount = counts.geminiAccountId?.[acc.id] || 0
return { ...acc, platform: 'gemini', boundApiKeysCount } return { ...acc, platform: 'gemini', boundApiKeysCount }
}) })
@@ -2837,7 +2838,7 @@ const loadAccounts = async (forceReload = false) => {
break break
} }
case 'openai': { case 'openai': {
const items = data.map((acc) => { const items = list.map((acc) => {
const boundApiKeysCount = counts.openaiAccountId?.[acc.id] || 0 const boundApiKeysCount = counts.openaiAccountId?.[acc.id] || 0
return { ...acc, platform: 'openai', boundApiKeysCount } return { ...acc, platform: 'openai', boundApiKeysCount }
}) })
@@ -2845,7 +2846,7 @@ const loadAccounts = async (forceReload = false) => {
break break
} }
case 'azure_openai': { case 'azure_openai': {
const items = data.map((acc) => { const items = list.map((acc) => {
const boundApiKeysCount = counts.azureOpenaiAccountId?.[acc.id] || 0 const boundApiKeysCount = counts.azureOpenaiAccountId?.[acc.id] || 0
return { ...acc, platform: 'azure_openai', boundApiKeysCount } return { ...acc, platform: 'azure_openai', boundApiKeysCount }
}) })
@@ -2853,16 +2854,16 @@ const loadAccounts = async (forceReload = false) => {
break break
} }
case 'openai-responses': { case 'openai-responses': {
openaiResponsesRaw = data openaiResponsesRaw = list
break break
} }
case 'ccr': { case 'ccr': {
const items = data.map((acc) => ({ ...acc, platform: 'ccr', boundApiKeysCount: 0 })) const items = list.map((acc) => ({ ...acc, platform: 'ccr', boundApiKeysCount: 0 }))
allAccounts.push(...items) allAccounts.push(...items)
break break
} }
case 'droid': { case 'droid': {
const items = data.map((acc) => { const items = list.map((acc) => {
const boundApiKeysCount = counts.droidAccountId?.[acc.id] || acc.boundApiKeysCount || 0 const boundApiKeysCount = counts.droidAccountId?.[acc.id] || acc.boundApiKeysCount || 0
return { ...acc, platform: 'droid', boundApiKeysCount } return { ...acc, platform: 'droid', boundApiKeysCount }
}) })
@@ -2870,7 +2871,7 @@ const loadAccounts = async (forceReload = false) => {
break break
} }
case 'gemini-api': { case 'gemini-api': {
const items = data.map((acc) => { const items = list.map((acc) => {
const boundApiKeysCount = counts.geminiAccountId?.[`api:${acc.id}`] || 0 const boundApiKeysCount = counts.geminiAccountId?.[`api:${acc.id}`] || 0
return { ...acc, platform: 'gemini-api', boundApiKeysCount } return { ...acc, platform: 'gemini-api', boundApiKeysCount }
}) })

View File

@@ -36,6 +36,18 @@
<i class="fas fa-bell mr-2"></i> <i class="fas fa-bell mr-2"></i>
通知设置 通知设置
</button> </button>
<button
:class="[
'border-b-2 pb-2 text-sm font-medium transition-colors',
activeSection === 'claude'
? 'border-blue-500 text-blue-600 dark:border-blue-400 dark:text-blue-400'
: 'border-transparent text-gray-500 hover:border-gray-300 hover:text-gray-700 dark:text-gray-400 dark:hover:text-gray-300'
]"
@click="activeSection = 'claude'"
>
<i class="fas fa-robot mr-2"></i>
Claude 转发
</button>
</nav> </nav>
</div> </div>
@@ -629,6 +641,390 @@
</button> </button>
</div> </div>
</div> </div>
<!-- Claude 转发配置部分 -->
<div v-show="activeSection === 'claude'">
<!-- 加载状态 -->
<div v-if="claudeConfigLoading" class="py-12 text-center">
<div class="loading-spinner mx-auto mb-4"></div>
<p class="text-gray-500 dark:text-gray-400">正在加载配置...</p>
</div>
<div v-else>
<!-- Claude Code 客户端限制 -->
<div
class="mb-6 rounded-lg bg-white/80 p-6 shadow-lg backdrop-blur-sm dark:bg-gray-800/80"
>
<div class="flex items-center justify-between">
<div>
<div class="flex items-center">
<div
class="mr-3 flex h-10 w-10 items-center justify-center rounded-full bg-gradient-to-br from-orange-500 to-amber-600 text-white shadow-lg"
>
<i class="fas fa-terminal"></i>
</div>
<div>
<h2 class="text-lg font-semibold text-gray-800 dark:text-gray-200">
仅允许 Claude Code 客户端
</h2>
<p class="mt-1 text-sm text-gray-600 dark:text-gray-400">
启用后所有
<code class="rounded bg-gray-100 px-1 dark:bg-gray-700"
>/api/v1/messages</code
>
<code class="rounded bg-gray-100 px-1 dark:bg-gray-700"
>/claude/v1/messages</code
>
端点将强制验证 Claude Code CLI 客户端
</p>
</div>
</div>
</div>
<label class="relative inline-flex cursor-pointer items-center">
<input
v-model="claudeConfig.claudeCodeOnlyEnabled"
class="peer sr-only"
type="checkbox"
@change="saveClaudeConfig"
/>
<div
class="peer h-6 w-11 rounded-full bg-gray-200 after:absolute after:left-[2px] after:top-[2px] after:h-5 after:w-5 after:rounded-full after:border after:border-gray-300 after:bg-white after:transition-all after:content-[''] peer-checked:bg-orange-500 peer-checked:after:translate-x-full peer-checked:after:border-white peer-focus:outline-none peer-focus:ring-4 peer-focus:ring-orange-300 dark:border-gray-600 dark:bg-gray-700 dark:peer-focus:ring-orange-800"
></div>
</label>
</div>
<div class="mt-4 rounded-lg bg-amber-50 p-4 dark:bg-amber-900/20">
<div class="flex">
<i class="fas fa-info-circle mt-0.5 text-amber-500"></i>
<div class="ml-3">
<p class="text-sm text-amber-700 dark:text-amber-300">
此设置与 API Key 级别的客户端限制是 <strong>OR 逻辑</strong>全局启用或 API
Key 设置中启用都会执行 Claude Code 验证
</p>
</div>
</div>
</div>
</div>
<!-- 全局会话绑定 -->
<div
class="mb-6 rounded-lg bg-white/80 p-6 shadow-lg backdrop-blur-sm dark:bg-gray-800/80"
>
<div class="flex items-center justify-between">
<div>
<div class="flex items-center">
<div
class="mr-3 flex h-10 w-10 items-center justify-center rounded-full bg-gradient-to-br from-purple-500 to-indigo-600 text-white shadow-lg"
>
<i class="fas fa-link"></i>
</div>
<div>
<h2 class="text-lg font-semibold text-gray-800 dark:text-gray-200">
强制会话绑定
</h2>
<p class="mt-1 text-sm text-gray-600 dark:text-gray-400">
启用后系统会将原始会话 ID 绑定到首次使用的账户确保上下文的一致性
</p>
</div>
</div>
</div>
<label class="relative inline-flex cursor-pointer items-center">
<input
v-model="claudeConfig.globalSessionBindingEnabled"
class="peer sr-only"
type="checkbox"
@change="saveClaudeConfig"
/>
<div
class="peer h-6 w-11 rounded-full bg-gray-200 after:absolute after:left-[2px] after:top-[2px] after:h-5 after:w-5 after:rounded-full after:border after:border-gray-300 after:bg-white after:transition-all after:content-[''] peer-checked:bg-purple-500 peer-checked:after:translate-x-full peer-checked:after:border-white peer-focus:outline-none peer-focus:ring-4 peer-focus:ring-purple-300 dark:border-gray-600 dark:bg-gray-700 dark:peer-focus:ring-purple-800"
></div>
</label>
</div>
<!-- 绑定配置详情仅在启用时显示 -->
<div v-if="claudeConfig.globalSessionBindingEnabled" class="mt-6 space-y-4">
<!-- 绑定有效期 -->
<div>
<label class="block text-sm font-medium text-gray-700 dark:text-gray-300">
<i class="fas fa-clock mr-2 text-gray-400"></i>
绑定有效期
</label>
<input
v-model.number="claudeConfig.sessionBindingTtlDays"
class="mt-1 block w-full max-w-xs rounded-lg border border-gray-300 bg-white px-3 py-2 shadow-sm focus:border-purple-500 focus:outline-none focus:ring-2 focus:ring-purple-500/20 dark:border-gray-500 dark:bg-gray-700 dark:text-white sm:text-sm"
max="365"
min="1"
placeholder="30"
type="number"
@change="saveClaudeConfig"
/>
<p class="mt-1 text-xs text-gray-500 dark:text-gray-400">
会话绑定到账户后的有效时间过期后会自动解除绑定
</p>
</div>
<!-- 错误提示消息 -->
<div>
<label class="block text-sm font-medium text-gray-700 dark:text-gray-300">
<i class="fas fa-exclamation-triangle mr-2 text-gray-400"></i>
旧会话污染提示
</label>
<textarea
v-model="claudeConfig.sessionBindingErrorMessage"
class="mt-1 block w-full rounded-lg border border-gray-300 bg-white px-3 py-2 shadow-sm focus:border-purple-500 focus:outline-none focus:ring-2 focus:ring-purple-500/20 dark:border-gray-500 dark:bg-gray-700 dark:text-white sm:text-sm"
placeholder="你的本地session已污染请清理后使用。"
rows="2"
@change="saveClaudeConfig"
></textarea>
<p class="mt-1 text-xs text-gray-500 dark:text-gray-400">
当检测到为旧的sessionId且未在系统中有调度记录时提示返回给客户端的错误消息
</p>
</div>
</div>
<div class="mt-4 rounded-lg bg-purple-50 p-4 dark:bg-purple-900/20">
<div class="flex">
<i class="fas fa-lightbulb mt-0.5 text-purple-500"></i>
<div class="ml-3">
<p class="text-sm text-purple-700 dark:text-purple-300">
<strong>工作原理</strong>系统会提取请求中的原始 session ID 来自
<code class="rounded bg-purple-100 px-1 dark:bg-purple-800"
>metadata.user_id</code
> 并将其与首次调度的账户绑定后续使用相同 session ID
的请求将自动路由到同一账户
</p>
<p class="mt-2 text-sm text-purple-700 dark:text-purple-300">
<strong>新会话识别</strong>如果绑定会话历史中没有该sessionId但请求中
<code class="rounded bg-purple-100 px-1 dark:bg-purple-800"
>messages.length > 1</code
> 系统会认为这是一个污染的会话并拒绝请求
</p>
</div>
</div>
</div>
</div>
<!-- 用户消息串行队列 -->
<div
class="mb-6 rounded-lg bg-white/80 p-6 shadow-lg backdrop-blur-sm dark:bg-gray-800/80"
>
<div class="flex items-center justify-between">
<div>
<div class="flex items-center">
<div
class="mr-3 flex h-10 w-10 items-center justify-center rounded-full bg-gradient-to-br from-cyan-500 to-teal-600 text-white shadow-lg"
>
<i class="fas fa-list-ol"></i>
</div>
<div>
<h2 class="text-lg font-semibold text-gray-800 dark:text-gray-200">
用户消息串行队列
</h2>
<p class="mt-1 text-sm text-gray-600 dark:text-gray-400">
启用后同一账户的用户消息请求将串行执行并在请求之间添加延迟防止触发上游限流
</p>
</div>
</div>
</div>
<label class="relative inline-flex cursor-pointer items-center">
<input
v-model="claudeConfig.userMessageQueueEnabled"
class="peer sr-only"
type="checkbox"
@change="saveClaudeConfig"
/>
<div
class="peer h-6 w-11 rounded-full bg-gray-200 after:absolute after:left-[2px] after:top-[2px] after:h-5 after:w-5 after:rounded-full after:border after:border-gray-300 after:bg-white after:transition-all after:content-[''] peer-checked:bg-teal-500 peer-checked:after:translate-x-full peer-checked:after:border-white peer-focus:outline-none peer-focus:ring-4 peer-focus:ring-teal-300 dark:border-gray-600 dark:bg-gray-700 dark:peer-focus:ring-teal-800"
></div>
</label>
</div>
<!-- 队列配置详情仅在启用时显示 -->
<div v-if="claudeConfig.userMessageQueueEnabled" class="mt-6 space-y-4">
<!-- 请求间隔 -->
<div>
<label class="block text-sm font-medium text-gray-700 dark:text-gray-300">
<i class="fas fa-hourglass-half mr-2 text-gray-400"></i>
请求间隔毫秒
</label>
<input
v-model.number="claudeConfig.userMessageQueueDelayMs"
class="mt-1 block w-full max-w-xs rounded-lg border border-gray-300 bg-white px-3 py-2 shadow-sm focus:border-teal-500 focus:outline-none focus:ring-2 focus:ring-teal-500/20 dark:border-gray-500 dark:bg-gray-700 dark:text-white sm:text-sm"
max="10000"
min="0"
placeholder="200"
type="number"
@change="saveClaudeConfig"
/>
<p class="mt-1 text-xs text-gray-500 dark:text-gray-400">
同一账户的用户消息请求之间的最小间隔时间0-10000毫秒
</p>
</div>
<!-- 队列超时 -->
<div>
<label class="block text-sm font-medium text-gray-700 dark:text-gray-300">
<i class="fas fa-stopwatch mr-2 text-gray-400"></i>
队列超时毫秒
</label>
<input
v-model.number="claudeConfig.userMessageQueueTimeoutMs"
class="mt-1 block w-full max-w-xs rounded-lg border border-gray-300 bg-white px-3 py-2 shadow-sm focus:border-teal-500 focus:outline-none focus:ring-2 focus:ring-teal-500/20 dark:border-gray-500 dark:bg-gray-700 dark:text-white sm:text-sm"
max="300000"
min="1000"
placeholder="30000"
type="number"
@change="saveClaudeConfig"
/>
<p class="mt-1 text-xs text-gray-500 dark:text-gray-400">
请求在队列中等待的最大时间超时将返回 503 错误1000-300000毫秒
</p>
</div>
</div>
<div class="mt-4 rounded-lg bg-teal-50 p-4 dark:bg-teal-900/20">
<div class="flex">
<i class="fas fa-info-circle mt-0.5 text-teal-500"></i>
<div class="ml-3">
<p class="text-sm text-teal-700 dark:text-teal-300">
<strong>工作原理</strong>系统检测请求中最后一条消息的
<code class="rounded bg-teal-100 px-1 dark:bg-teal-800">role</code>
是否为
<code class="rounded bg-teal-100 px-1 dark:bg-teal-800">user</code
>用户消息请求需要排队串行执行而工具调用结果助手消息续传等不受此限制
</p>
</div>
</div>
</div>
</div>
<!-- 并发请求排队 -->
<div
class="mb-6 rounded-lg bg-white/80 p-6 shadow-lg backdrop-blur-sm dark:bg-gray-800/80"
>
<div class="flex items-center justify-between">
<div class="flex items-center">
<div
class="flex h-12 w-12 items-center justify-center rounded-lg bg-gradient-to-r from-blue-500 to-cyan-500 text-white shadow-lg"
>
<i class="fas fa-layer-group text-xl"></i>
</div>
<div class="ml-4">
<h4 class="text-lg font-semibold text-gray-900 dark:text-white">
并发请求排队
</h4>
<p class="text-sm text-gray-500 dark:text-gray-400">
API Key 并发请求超限时进入队列等待而非直接拒绝
</p>
</div>
</div>
<label class="relative inline-flex cursor-pointer items-center">
<input
v-model="claudeConfig.concurrentRequestQueueEnabled"
class="peer sr-only"
type="checkbox"
@change="saveClaudeConfig"
/>
<div
class="peer h-6 w-11 rounded-full bg-gray-200 after:absolute after:left-[2px] after:top-[2px] after:h-5 after:w-5 after:rounded-full after:border after:border-gray-300 after:bg-white after:transition-all after:content-[''] peer-checked:bg-blue-500 peer-checked:after:translate-x-full peer-checked:after:border-white peer-focus:outline-none peer-focus:ring-4 peer-focus:ring-blue-300 dark:border-gray-600 dark:bg-gray-700 dark:peer-focus:ring-blue-800"
></div>
</label>
</div>
<!-- 排队配置详情仅在启用时显示 -->
<div v-if="claudeConfig.concurrentRequestQueueEnabled" class="mt-6 space-y-4">
<!-- 固定最小排队数 -->
<div>
<label class="block text-sm font-medium text-gray-700 dark:text-gray-300">
<i class="fas fa-list-ol mr-2 text-gray-400"></i>
固定最小排队数
</label>
<input
v-model.number="claudeConfig.concurrentRequestQueueMaxSize"
class="mt-1 block w-full max-w-xs rounded-lg border border-gray-300 bg-white px-3 py-2 shadow-sm focus:border-blue-500 focus:outline-none focus:ring-2 focus:ring-blue-500/20 dark:border-gray-500 dark:bg-gray-700 dark:text-white sm:text-sm"
max="100"
min="1"
placeholder="3"
type="number"
@change="saveClaudeConfig"
/>
<p class="mt-1 text-xs text-gray-500 dark:text-gray-400">
最大排队数的固定最小值1-100
</p>
</div>
<!-- 排队数倍数 -->
<div>
<label class="block text-sm font-medium text-gray-700 dark:text-gray-300">
<i class="fas fa-times mr-2 text-gray-400"></i>
排队数倍数
</label>
<input
v-model.number="claudeConfig.concurrentRequestQueueMaxSizeMultiplier"
class="mt-1 block w-full max-w-xs rounded-lg border border-gray-300 bg-white px-3 py-2 shadow-sm focus:border-blue-500 focus:outline-none focus:ring-2 focus:ring-blue-500/20 dark:border-gray-500 dark:bg-gray-700 dark:text-white sm:text-sm"
max="10"
min="0"
placeholder="1"
step="0.5"
type="number"
@change="saveClaudeConfig"
/>
<p class="mt-1 text-xs text-gray-500 dark:text-gray-400">
最大排队数 = MAX(倍数 × 并发限制, 固定值)设为 0 则仅使用固定值
</p>
</div>
<!-- 排队超时时间 -->
<div>
<label class="block text-sm font-medium text-gray-700 dark:text-gray-300">
<i class="fas fa-stopwatch mr-2 text-gray-400"></i>
排队超时时间毫秒
</label>
<input
v-model.number="claudeConfig.concurrentRequestQueueTimeoutMs"
class="mt-1 block w-full max-w-xs rounded-lg border border-gray-300 bg-white px-3 py-2 shadow-sm focus:border-blue-500 focus:outline-none focus:ring-2 focus:ring-blue-500/20 dark:border-gray-500 dark:bg-gray-700 dark:text-white sm:text-sm"
max="300000"
min="5000"
placeholder="10000"
type="number"
@change="saveClaudeConfig"
/>
<p class="mt-1 text-xs text-gray-500 dark:text-gray-400">
请求在排队中等待的最大时间超时将返回 429 错误5-5分钟默认10秒
</p>
</div>
</div>
<div class="mt-4 rounded-lg bg-blue-50 p-4 dark:bg-blue-900/20">
<div class="flex">
<i class="fas fa-info-circle mt-0.5 text-blue-500"></i>
<div class="ml-3">
<p class="text-sm text-blue-700 dark:text-blue-300">
<strong>工作原理</strong> API Key 的并发请求超过
<code class="rounded bg-blue-100 px-1 dark:bg-blue-800"
>concurrencyLimit</code
>
超限请求会进入队列等待而非直接返回 429适合 Claude Code Agent
并行工具调用场景
</p>
</div>
</div>
</div>
</div>
<!-- 配置更新信息 -->
<div
v-if="claudeConfig.updatedAt"
class="rounded-lg bg-gray-50 p-4 text-sm text-gray-500 dark:bg-gray-700/50 dark:text-gray-400"
>
<i class="fas fa-history mr-2"></i>
最后更新{{ formatDateTime(claudeConfig.updatedAt) }}
<span v-if="claudeConfig.updatedBy" class="ml-2">
<strong>{{ claudeConfig.updatedBy }}</strong> 修改
</span>
</div>
</div>
</div>
</div> </div>
</div> </div>
</div> </div>
@@ -1274,6 +1670,24 @@ const webhookConfig = ref({
} }
}) })
// Claude 转发配置
const claudeConfigLoading = ref(false)
const claudeConfig = ref({
claudeCodeOnlyEnabled: false,
globalSessionBindingEnabled: false,
sessionBindingErrorMessage: '你的本地session已污染请清理后使用。',
sessionBindingTtlDays: 30,
userMessageQueueEnabled: false, // 与后端默认值保持一致
userMessageQueueDelayMs: 200,
userMessageQueueTimeoutMs: 5000, // 与后端默认值保持一致(优化后锁持有时间短无需长等待)
concurrentRequestQueueEnabled: false,
concurrentRequestQueueMaxSize: 3,
concurrentRequestQueueMaxSizeMultiplier: 0,
concurrentRequestQueueTimeoutMs: 10000,
updatedAt: null,
updatedBy: null
})
// 平台表单相关 // 平台表单相关
const showAddPlatformModal = ref(false) const showAddPlatformModal = ref(false)
const editingPlatform = ref(null) const editingPlatform = ref(null)
@@ -1311,6 +1725,8 @@ const sectionWatcher = watch(activeSection, async (newSection) => {
if (!isMounted.value) return if (!isMounted.value) return
if (newSection === 'webhook') { if (newSection === 'webhook') {
await loadWebhookConfig() await loadWebhookConfig()
} else if (newSection === 'claude') {
await loadClaudeConfig()
} }
}) })
@@ -1522,6 +1938,83 @@ const saveWebhookConfig = async () => {
} }
} }
// 加载 Claude 转发配置
const loadClaudeConfig = async () => {
if (!isMounted.value) return
claudeConfigLoading.value = true
try {
const response = await apiClient.get('/admin/claude-relay-config', {
signal: abortController.value.signal
})
if (response.success && isMounted.value) {
claudeConfig.value = {
claudeCodeOnlyEnabled: response.config?.claudeCodeOnlyEnabled ?? false,
globalSessionBindingEnabled: response.config?.globalSessionBindingEnabled ?? false,
sessionBindingErrorMessage:
response.config?.sessionBindingErrorMessage || '你的本地session已污染请清理后使用。',
sessionBindingTtlDays: response.config?.sessionBindingTtlDays ?? 30,
userMessageQueueEnabled: response.config?.userMessageQueueEnabled ?? false, // 与后端默认值保持一致
userMessageQueueDelayMs: response.config?.userMessageQueueDelayMs ?? 200,
userMessageQueueTimeoutMs: response.config?.userMessageQueueTimeoutMs ?? 5000, // 与后端默认值保持一致
concurrentRequestQueueEnabled: response.config?.concurrentRequestQueueEnabled ?? false,
concurrentRequestQueueMaxSize: response.config?.concurrentRequestQueueMaxSize ?? 3,
concurrentRequestQueueMaxSizeMultiplier:
response.config?.concurrentRequestQueueMaxSizeMultiplier ?? 0,
concurrentRequestQueueTimeoutMs: response.config?.concurrentRequestQueueTimeoutMs ?? 10000,
updatedAt: response.config?.updatedAt || null,
updatedBy: response.config?.updatedBy || null
}
}
} catch (error) {
if (error.name === 'AbortError') return
if (!isMounted.value) return
showToast('获取 Claude 转发配置失败', 'error')
console.error(error)
} finally {
if (isMounted.value) {
claudeConfigLoading.value = false
}
}
}
// 保存 Claude 转发配置
const saveClaudeConfig = async () => {
if (!isMounted.value) return
try {
const payload = {
claudeCodeOnlyEnabled: claudeConfig.value.claudeCodeOnlyEnabled,
globalSessionBindingEnabled: claudeConfig.value.globalSessionBindingEnabled,
sessionBindingErrorMessage: claudeConfig.value.sessionBindingErrorMessage,
sessionBindingTtlDays: claudeConfig.value.sessionBindingTtlDays,
userMessageQueueEnabled: claudeConfig.value.userMessageQueueEnabled,
userMessageQueueDelayMs: claudeConfig.value.userMessageQueueDelayMs,
userMessageQueueTimeoutMs: claudeConfig.value.userMessageQueueTimeoutMs,
concurrentRequestQueueEnabled: claudeConfig.value.concurrentRequestQueueEnabled,
concurrentRequestQueueMaxSize: claudeConfig.value.concurrentRequestQueueMaxSize,
concurrentRequestQueueMaxSizeMultiplier:
claudeConfig.value.concurrentRequestQueueMaxSizeMultiplier,
concurrentRequestQueueTimeoutMs: claudeConfig.value.concurrentRequestQueueTimeoutMs
}
const response = await apiClient.put('/admin/claude-relay-config', payload, {
signal: abortController.value.signal
})
if (response.success && isMounted.value) {
claudeConfig.value = {
...claudeConfig.value,
updatedAt: response.config?.updatedAt || new Date().toISOString(),
updatedBy: response.config?.updatedBy || null
}
showToast('Claude 转发配置已保存', 'success')
}
} catch (error) {
if (error.name === 'AbortError') return
if (!isMounted.value) return
showToast('保存 Claude 转发配置失败', 'error')
console.error(error)
}
}
// 验证 URL // 验证 URL
const validateUrl = () => { const validateUrl = () => {
// Bark和SMTP平台不需要验证URL // Bark和SMTP平台不需要验证URL