feat: enable channel when test succeed (#771)

* 增加功能: 渠道 - 测试所有通道; 设置 - 运营设置 - 监控设置 - 成功时自动启用通道

* refactor: update implementation

---------

Co-authored-by: liyujie <29959257@qq.com>
Co-authored-by: JustSong <songquanpeng@foxmail.com>

.gitignore

@@ -5,4 +5,5 @@ upload
 *.db
 build
 *.db-journal
-logs
+logs
+data

README.en.md

@@ -189,6 +189,8 @@ If you encounter a blank page after deployment, refer to [#97](https://github.co
 
 > Zeabur's servers are located overseas, automatically solving network issues, and the free quota is sufficient for personal usage.
 
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/templates/7Q0KO3)
+
 1. First, fork the code.
 2. Go to [Zeabur](https://zeabur.com?referralCode=songquanpeng), log in, and enter the console.
 3. Create a new project. In Service -> Add Service, select Marketplace, and choose MySQL. Note down the connection parameters (username, password, address, and port).

README.ja.md

@@ -190,6 +190,8 @@ Please refer to the [environment variables](#environment-variables) section for
 
 > Zeabur のサーバーは海外にあるため、ネットワークの問題は自動的に解決されます。
 
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/templates/7Q0KO3)
+
 1. まず、コードをフォークする。
 2. [Zeabur](https://zeabur.com?referralCode=songquanpeng) にアクセスしてログインし、コンソールに入る。
 3. 新しいプロジェクトを作成します。Service -> Add ServiceでMarketplace を選択し、MySQL を選択する。接続パラメータ（ユーザー名、パスワード、アドレス、ポート）をメモします。

README.md

@@ -51,15 +51,15 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
   <a href="https://iamazing.cn/page/reward">赞赏支持</a>
 </p>
 
-> **Note**
+> [!NOTE]
 > 本项目为开源项目，使用者必须在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用，不得用于非法用途。
 > 
 > 根据[《生成式人工智能服务管理暂行办法》](http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm)的要求，请勿对中国地区公众提供一切未经备案的生成式人工智能服务。
 
-> **Warning**
+> [!WARNING]
 > 使用 Docker 拉取的最新镜像可能是 `alpha` 版本，如果追求稳定性请手动指定版本。
 
-> **Warning**
+> [!WARNING]
 > 使用 root 用户初次登录系统后，务必修改默认密码 `123456`！
 
 ## 功能
@@ -75,7 +75,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
    + [x] [腾讯混元大模型](https://cloud.tencent.com/document/product/1729)
 2. 支持配置镜像以及众多第三方代理服务：
    + [x] [OpenAI-SB](https://openai-sb.com)
-   + [x] [CloseAI](https://console.closeai-asia.com/r/2412)
+   + [x] [CloseAI](https://referer.shadowai.xyz/r/2412)
    + [x] [API2D](https://api2d.com/r/197971)
    + [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf)
    + [x] [AI Proxy](https://aiproxy.io/?i=OneAPI) （邀请码：`OneAPI`）
@@ -92,14 +92,14 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
 12. 支持**用户邀请奖励**。
 13. 支持以美元为单位显示额度。
 14. 支持发布公告，设置充值链接，设置新用户初始额度。
-15. 支持模型映射，重定向用户的请求模型。
+15. 支持模型映射，重定向用户的请求模型，如无必要请不要设置，设置之后会导致请求体被重新构造而非直接透传，会导致部分还未正式支持的字段无法传递成功。
 16. 支持失败自动重试。
 17. 支持绘图接口。
 18. 支持 [Cloudflare AI Gateway](https://developers.cloudflare.com/ai-gateway/providers/openai/)，渠道设置的代理部分填写 `https://gateway.ai.cloudflare.com/v1/ACCOUNT_TAG/GATEWAY/openai` 即可。
 19. 支持丰富的**自定义**设置，
     1. 支持自定义系统名称，logo 以及页脚。
     2. 支持自定义首页和关于页面，可以选择使用 HTML & Markdown 代码进行自定义，或者使用一个单独的网页通过 iframe 嵌入。
-20. 支持通过系统访问令牌访问管理 API。
+20. 支持通过系统访问令牌访问管理 API（bearer token，用以替代 cookie，你可以自行抓包来查看 API 的用法）。
 21. 支持 Cloudflare Turnstile 用户校验。
 22. 支持用户管理，支持**多种用户登录注册方式**：
     + 邮箱登录注册（支持注册邮箱白名单）以及通过邮箱进行密码重置。
@@ -160,6 +160,19 @@ sudo service nginx restart
 
 初始账号用户名为 `root`，密码为 `123456`。
 
+
+### 基于 Docker Compose 进行部署
+
+> 仅启动方式不同，参数设置不变，请参考基于 Docker 部署部分
+
+```shell
+# 目前支持 MySQL 启动，数据存储在 ./data/mysql 文件夹内
+docker-compose up -d
+
+# 查看部署状态
+docker-compose ps
+```
+
 ### 手动部署
 1. 从 [GitHub Releases](https://github.com/songquanpeng/one-api/releases/latest) 下载可执行文件或者从源码编译：
    ```shell
@@ -249,6 +262,8 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope
 
 > Zeabur 的服务器在国外，自动解决了网络的问题，同时免费的额度也足够个人使用
 
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/templates/7Q0KO3)
+
 1. 首先 fork 一份代码。
 2. 进入 [Zeabur](https://zeabur.com?referralCode=songquanpeng)，登录，进入控制台。
 3. 新建一个 Project，在 Service -> Add Service 选择 Marketplace，选择 MySQL，并记下连接参数（用户名、密码、地址、端口）。

common/constants.go

@@ -78,6 +78,7 @@ var QuotaForInviter = 0
 var QuotaForInvitee = 0
 var ChannelDisableThreshold = 5.0
 var AutomaticDisableChannelEnabled = false
+var AutomaticEnableChannelEnabled = false
 var QuotaRemindThreshold = 1000
 var PreConsumedQuota = 500
 var ApproximateTokenEnabled = false

common/email.go

@@ -1,11 +1,13 @@
 package common
 
 import (
+	"crypto/rand"
 	"crypto/tls"
 	"encoding/base64"
 	"fmt"
 	"net/smtp"
 	"strings"
+	"time"
 )
 
 func SendEmail(subject string, receiver string, content string) error {
@@ -13,15 +15,32 @@ func SendEmail(subject string, receiver string, content string) error {
 		SMTPFrom = SMTPAccount
 	}
 	encodedSubject := fmt.Sprintf("=?UTF-8?B?%s?=", base64.StdEncoding.EncodeToString([]byte(subject)))
+
+	// Extract domain from SMTPFrom
+	parts := strings.Split(SMTPFrom, "@")
+	var domain string
+	if len(parts) > 1 {
+		domain = parts[1]
+	}
+	// Generate a unique Message-ID
+	buf := make([]byte, 16)
+	_, err := rand.Read(buf)
+	if err != nil {
+		return err
+	}
+	messageId := fmt.Sprintf("<%x@%s>", buf, domain)
+
 	mail := []byte(fmt.Sprintf("To: %s\r\n"+
 		"From: %s<%s>\r\n"+
 		"Subject: %s\r\n"+
+		"Message-ID: %s\r\n"+ // add Message-ID header to avoid being treated as spam, RFC 5322
+		"Date: %s\r\n"+
 		"Content-Type: text/html; charset=UTF-8\r\n\r\n%s\r\n",
-		receiver, SystemName, SMTPFrom, encodedSubject, content))
+		receiver, SystemName, SMTPFrom, encodedSubject, messageId, time.Now().Format(time.RFC1123Z), content))
 	auth := smtp.PlainAuth("", SMTPAccount, SMTPToken, SMTPServer)
 	addr := fmt.Sprintf("%s:%d", SMTPServer, SMTPPort)
 	to := strings.Split(receiver, ";")
-	var err error
+
 	if SMTPPort == 465 {
 		tlsConfig := &tls.Config{
 			InsecureSkipVerify: true,

common/gin.go

@@ -5,6 +5,7 @@ import (
 	"encoding/json"
 	"github.com/gin-gonic/gin"
 	"io"
+	"strings"
 )
 
 func UnmarshalBodyReusable(c *gin.Context, v any) error {
@@ -16,7 +17,13 @@ func UnmarshalBodyReusable(c *gin.Context, v any) error {
 	if err != nil {
 		return err
 	}
-	err = json.Unmarshal(requestBody, &v)
+	contentType := c.Request.Header.Get("Content-Type")
+	if strings.HasPrefix(contentType, "application/json") {
+		err = json.Unmarshal(requestBody, &v)
+	} else {
+		// skip for now
+		// TODO: someday non json request have variant model, we will need to implementation this
+	}
 	if err != nil {
 		return err
 	}

common/model-ratio.go

@@ -3,8 +3,32 @@ package common
 import (
 	"encoding/json"
 	"strings"
+	"time"
 )
 
+var DalleSizeRatios = map[string]map[string]float64{
+	"dall-e-2": {
+		"256x256":   1,
+		"512x512":   1.125,
+		"1024x1024": 1.25,
+	},
+	"dall-e-3": {
+		"1024x1024": 1,
+		"1024x1792": 2,
+		"1792x1024": 2,
+	},
+}
+
+var DalleGenerationImageAmounts = map[string][2]int{
+	"dall-e-2": {1, 10},
+	"dall-e-3": {1, 1}, // OpenAI allows n=1 currently.
+}
+
+var DalleImagePromptLengthLimitations = map[string]int{
+	"dall-e-2": 1000,
+	"dall-e-3": 4000,
+}
+
 // ModelRatio
 // https://platform.openai.com/docs/models/model-endpoint-compatibility
 // https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
@@ -19,12 +43,15 @@ var ModelRatio = map[string]float64{
 	"gpt-4-32k":                 30,
 	"gpt-4-32k-0314":            30,
 	"gpt-4-32k-0613":            30,
+	"gpt-4-1106-preview":        5,    // $0.01 / 1K tokens
+	"gpt-4-vision-preview":      5,    // $0.01 / 1K tokens
 	"gpt-3.5-turbo":             0.75, // $0.0015 / 1K tokens
 	"gpt-3.5-turbo-0301":        0.75,
 	"gpt-3.5-turbo-0613":        0.75,
 	"gpt-3.5-turbo-16k":         1.5, // $0.003 / 1K tokens
 	"gpt-3.5-turbo-16k-0613":    1.5,
 	"gpt-3.5-turbo-instruct":    0.75, // $0.0015 / 1K tokens
+	"gpt-3.5-turbo-1106":        0.5,  // $0.001 / 1K tokens
 	"text-ada-001":              0.2,
 	"text-babbage-001":          0.25,
 	"text-curie-001":            1,
@@ -32,7 +59,11 @@ var ModelRatio = map[string]float64{
 	"text-davinci-003":          10,
 	"text-davinci-edit-001":     10,
 	"code-davinci-edit-001":     10,
-	"whisper-1":                 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
+	"whisper-1":                 15,  // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
+	"tts-1":                     7.5, // $0.015 / 1K characters
+	"tts-1-1106":                7.5,
+	"tts-1-hd":                  15, // $0.030 / 1K characters
+	"tts-1-hd-1106":             15,
 	"davinci":                   10,
 	"curie":                     10,
 	"babbage":                   10,
@@ -41,14 +72,18 @@ var ModelRatio = map[string]float64{
 	"text-search-ada-doc-001":   10,
 	"text-moderation-stable":    0.1,
 	"text-moderation-latest":    0.1,
-	"dall-e":                    8,
+	"dall-e-2":                  8,      // $0.016 - $0.020 / image
+	"dall-e-3":                  20,     // $0.040 - $0.120 / image
 	"claude-instant-1":          0.815,  // $1.63 / 1M tokens
 	"claude-2":                  5.51,   // $11.02 / 1M tokens
+	"claude-2.0":                5.51,   // $11.02 / 1M tokens
+	"claude-2.1":                5.51,   // $11.02 / 1M tokens
 	"ERNIE-Bot":                 0.8572, // ￥0.012 / 1k tokens
 	"ERNIE-Bot-turbo":           0.5715, // ￥0.008 / 1k tokens
 	"ERNIE-Bot-4":               8.572,  // ￥0.12 / 1k tokens
 	"Embedding-V1":              0.1429, // ￥0.002 / 1k tokens
 	"PaLM-2":                    1,
+	"chatglm_turbo":             0.3572, // ￥0.005 / 1k tokens
 	"chatglm_pro":               0.7143, // ￥0.01 / 1k tokens
 	"chatglm_std":               0.3572, // ￥0.005 / 1k tokens
 	"chatglm_lite":              0.1429, // ￥0.002 / 1k tokens
@@ -87,9 +122,24 @@ func GetModelRatio(name string) float64 {
 
 func GetCompletionRatio(name string) float64 {
 	if strings.HasPrefix(name, "gpt-3.5") {
+		if strings.HasSuffix(name, "1106") {
+			return 2
+		}
+		if name == "gpt-3.5-turbo" || name == "gpt-3.5-turbo-16k" {
+			// TODO: clear this after 2023-12-11
+			now := time.Now()
+			// https://platform.openai.com/docs/models/continuous-model-upgrades
+			// if after 2023-12-11, use 2
+			if now.After(time.Date(2023, 12, 11, 0, 0, 0, 0, time.UTC)) {
+				return 2
+			}
+		}
 		return 1.333333
 	}
 	if strings.HasPrefix(name, "gpt-4") {
+		if strings.HasSuffix(name, "preview") {
+			return 3
+		}
 		return 2
 	}
 	if strings.HasPrefix(name, "claude-instant-1") {

controller/channel-test.go

@@ -5,6 +5,7 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
+	"io"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
@@ -43,14 +44,14 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
 	}
 	requestURL := common.ChannelBaseURLs[channel.Type]
 	if channel.Type == common.ChannelTypeAzure {
-		requestURL = fmt.Sprintf("%s/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", channel.GetBaseURL(), request.Model)
+		requestURL = getFullRequestURL(channel.GetBaseURL(), fmt.Sprintf("/openai/deployments/%s/chat/completions?api-version=2023-03-15-preview", request.Model), channel.Type)
 	} else {
-		if channel.GetBaseURL() != "" {
+		if baseURL := channel.GetBaseURL(); len(baseURL) > 0 {
-			requestURL = channel.GetBaseURL()
+			requestURL = baseURL
 		}
-		requestURL += "/v1/chat/completions"
-	}
 
+		requestURL = getFullRequestURL(requestURL, "/v1/chat/completions", channel.Type)
+	}
 	jsonData, err := json.Marshal(request)
 	if err != nil {
 		return err, nil
@@ -71,11 +72,18 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
 	}
 	defer resp.Body.Close()
 	var response TextResponse
-	err = json.NewDecoder(resp.Body).Decode(&response)
+	body, err := io.ReadAll(resp.Body)
 	if err != nil {
 		return err, nil
 	}
+	err = json.Unmarshal(body, &response)
+	if err != nil {
+		return fmt.Errorf("Error: %s\nResp body: %s", err, body), nil
+	}
 	if response.Usage.CompletionTokens == 0 {
+		if response.Error.Message == "" {
+			response.Error.Message = "补全 tokens 非预期返回 0"
+		}
 		return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error
 	}
 	return nil, nil
@@ -137,20 +145,32 @@ func TestChannel(c *gin.Context) {
 var testAllChannelsLock sync.Mutex
 var testAllChannelsRunning bool = false
 
-// disable & notify
+func notifyRootUser(subject string, content string) {
-func disableChannel(channelId int, channelName string, reason string) {
 	if common.RootUserEmail == "" {
 		common.RootUserEmail = model.GetRootUserEmail()
 	}
-	model.UpdateChannelStatusById(channelId, common.ChannelStatusAutoDisabled)
-	subject := fmt.Sprintf("通道「%s」（#%d）已被禁用", channelName, channelId)
-	content := fmt.Sprintf("通道「%s」（#%d）已被禁用，原因：%s", channelName, channelId, reason)
 	err := common.SendEmail(subject, common.RootUserEmail, content)
 	if err != nil {
 		common.SysError(fmt.Sprintf("failed to send email: %s", err.Error()))
 	}
 }
 
+// disable & notify
+func disableChannel(channelId int, channelName string, reason string) {
+	model.UpdateChannelStatusById(channelId, common.ChannelStatusAutoDisabled)
+	subject := fmt.Sprintf("通道「%s」（#%d）已被禁用", channelName, channelId)
+	content := fmt.Sprintf("通道「%s」（#%d）已被禁用，原因：%s", channelName, channelId, reason)
+	notifyRootUser(subject, content)
+}
+
+// enable & notify
+func enableChannel(channelId int, channelName string) {
+	model.UpdateChannelStatusById(channelId, common.ChannelStatusEnabled)
+	subject := fmt.Sprintf("通道「%s」（#%d）已被启用", channelName, channelId)
+	content := fmt.Sprintf("通道「%s」（#%d）已被启用", channelName, channelId)
+	notifyRootUser(subject, content)
+}
+
 func testAllChannels(notify bool) error {
 	if common.RootUserEmail == "" {
 		common.RootUserEmail = model.GetRootUserEmail()
@@ -173,20 +193,21 @@ func testAllChannels(notify bool) error {
 	}
 	go func() {
 		for _, channel := range channels {
-			if channel.Status != common.ChannelStatusEnabled {
+			isChannelEnabled := channel.Status == common.ChannelStatusEnabled
-				continue
-			}
 			tik := time.Now()
 			err, openaiErr := testChannel(channel, *testRequest)
 			tok := time.Now()
 			milliseconds := tok.Sub(tik).Milliseconds()
-			if milliseconds > disableThreshold {
+			if isChannelEnabled && milliseconds > disableThreshold {
 				err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0))
 				disableChannel(channel.Id, channel.Name, err.Error())
 			}
-			if shouldDisableChannel(openaiErr, -1) {
+			if isChannelEnabled && shouldDisableChannel(openaiErr, -1) {
 				disableChannel(channel.Id, channel.Name, err.Error())
 			}
+			if !isChannelEnabled && shouldEnableChannel(err, openaiErr) {
+				enableChannel(channel.Id, channel.Name)
+			}
 			channel.UpdateResponseTime(milliseconds)
 			time.Sleep(common.RequestInterval)
 		}

controller/model.go

@@ -55,12 +55,21 @@ func init() {
 	// https://platform.openai.com/docs/models/model-endpoint-compatibility
 	openAIModels = []OpenAIModels{
 		{
-			Id:         "dall-e",
+			Id:         "dall-e-2",
 			Object:     "model",
 			Created:    1677649963,
 			OwnedBy:    "openai",
 			Permission: permission,
-			Root:       "dall-e",
+			Root:       "dall-e-2",
+			Parent:     nil,
+		},
+		{
+			Id:         "dall-e-3",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "dall-e-3",
 			Parent:     nil,
 		},
 		{
@@ -72,6 +81,42 @@ func init() {
 			Root:       "whisper-1",
 			Parent:     nil,
 		},
+		{
+			Id:         "tts-1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "tts-1",
+			Parent:     nil,
+		},
+		{
+			Id:         "tts-1-1106",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "tts-1-1106",
+			Parent:     nil,
+		},
+		{
+			Id:         "tts-1-hd",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "tts-1-hd",
+			Parent:     nil,
+		},
+		{
+			Id:         "tts-1-hd-1106",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "tts-1-hd-1106",
+			Parent:     nil,
+		},
 		{
 			Id:         "gpt-3.5-turbo",
 			Object:     "model",
@@ -117,6 +162,15 @@ func init() {
 			Root:       "gpt-3.5-turbo-16k-0613",
 			Parent:     nil,
 		},
+		{
+			Id:         "gpt-3.5-turbo-1106",
+			Object:     "model",
+			Created:    1699593571,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "gpt-3.5-turbo-1106",
+			Parent:     nil,
+		},
 		{
 			Id:         "gpt-3.5-turbo-instruct",
 			Object:     "model",
@@ -180,6 +234,24 @@ func init() {
 			Root:       "gpt-4-32k-0613",
 			Parent:     nil,
 		},
+		{
+			Id:         "gpt-4-1106-preview",
+			Object:     "model",
+			Created:    1699593571,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "gpt-4-1106-preview",
+			Parent:     nil,
+		},
+		{
+			Id:         "gpt-4-vision-preview",
+			Object:     "model",
+			Created:    1699593571,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "gpt-4-vision-preview",
+			Parent:     nil,
+		},
 		{
 			Id:         "text-embedding-ada-002",
 			Object:     "model",
@@ -274,7 +346,7 @@ func init() {
 			Id:         "claude-instant-1",
 			Object:     "model",
 			Created:    1677649963,
-			OwnedBy:    "anturopic",
+			OwnedBy:    "anthropic",
 			Permission: permission,
 			Root:       "claude-instant-1",
 			Parent:     nil,
@@ -283,11 +355,29 @@ func init() {
 			Id:         "claude-2",
 			Object:     "model",
 			Created:    1677649963,
-			OwnedBy:    "anturopic",
+			OwnedBy:    "anthropic",
 			Permission: permission,
 			Root:       "claude-2",
 			Parent:     nil,
 		},
+		{
+			Id:         "claude-2.1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "anthropic",
+			Permission: permission,
+			Root:       "claude-2.1",
+			Parent:     nil,
+		},
+		{
+			Id:         "claude-2.0",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "anthropic",
+			Permission: permission,
+			Root:       "claude-2.0",
+			Parent:     nil,
+		},
 		{
 			Id:         "ERNIE-Bot",
 			Object:     "model",
@@ -333,6 +423,15 @@ func init() {
 			Root:       "PaLM-2",
 			Parent:     nil,
 		},
+		{
+			Id:         "chatglm_turbo",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "zhipu",
+			Permission: permission,
+			Root:       "chatglm_turbo",
+			Parent:     nil,
+		},
 		{
 			Id:         "chatglm_pro",
 			Object:     "model",

controller/relay-aiproxy.go

@@ -48,7 +48,7 @@ type AIProxyLibraryStreamResponse struct {
 func requestOpenAI2AIProxyLibrary(request GeneralOpenAIRequest) *AIProxyLibraryRequest {
 	query := ""
 	if len(request.Messages) != 0 {
-		query = request.Messages[len(request.Messages)-1].Content
+		query = request.Messages[len(request.Messages)-1].StringContent()
 	}
 	return &AIProxyLibraryRequest{
 		Model:  request.Model,

controller/relay-ali.go

@@ -88,18 +88,18 @@ func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
 		message := request.Messages[i]
 		if message.Role == "system" {
 			messages = append(messages, AliMessage{
-				User: message.Content,
+				User: message.StringContent(),
 				Bot:  "Okay",
 			})
 			continue
 		} else {
 			if i == len(request.Messages)-1 {
-				prompt = message.Content
+				prompt = message.StringContent()
 				break
 			}
 			messages = append(messages, AliMessage{
-				User: message.Content,
+				User: message.StringContent(),
-				Bot:  request.Messages[i+1].Content,
+				Bot:  request.Messages[i+1].StringContent(),
 			})
 			i++
 		}

controller/relay-audio.go

@@ -11,6 +11,7 @@ import (
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+	"strings"
 )
 
 func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
@@ -21,16 +22,41 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	channelId := c.GetInt("channel_id")
 	userId := c.GetInt("id")
 	group := c.GetString("group")
+	tokenName := c.GetString("token_name")
+
+	var ttsRequest TextToSpeechRequest
+	if relayMode == RelayModeAudioSpeech {
+		// Read JSON
+		err := common.UnmarshalBodyReusable(c, &ttsRequest)
+		// Check if JSON is valid
+		if err != nil {
+			return errorWrapper(err, "invalid_json", http.StatusBadRequest)
+		}
+		audioModel = ttsRequest.Model
+		// Check if text is too long 4096
+		if len(ttsRequest.Input) > 4096 {
+			return errorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
+		}
+	}
 
-	preConsumedTokens := common.PreConsumedQuota
 	modelRatio := common.GetModelRatio(audioModel)
 	groupRatio := common.GetGroupRatio(group)
 	ratio := modelRatio * groupRatio
-	preConsumedQuota := int(float64(preConsumedTokens) * ratio)
+	var quota int
+	var preConsumedQuota int
+	switch relayMode {
+	case RelayModeAudioSpeech:
+		preConsumedQuota = int(float64(len(ttsRequest.Input)) * ratio)
+		quota = preConsumedQuota
+	default:
+		preConsumedQuota = int(float64(common.PreConsumedQuota) * ratio)
+	}
 	userQuota, err := model.CacheGetUserQuota(userId)
 	if err != nil {
 		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
 	}
+
+	// Check if user quota is enough
 	if userQuota-preConsumedQuota < 0 {
 		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
 	}
@@ -70,13 +96,28 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	}
 
 	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
+	if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
+		// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
+		apiVersion := GetAPIVersion(c)
+		fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, audioModel, apiVersion)
+	}
+
 	requestBody := c.Request.Body
 
 	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
 	if err != nil {
 		return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
 	}
-	req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
+
+	if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
+		// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
+		apiKey := c.Request.Header.Get("Authorization")
+		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
+		req.Header.Set("api-key", apiKey)
+		req.ContentLength = c.Request.ContentLength
+	} else {
+		req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
+	}
 	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
 	req.Header.Set("Accept", c.Request.Header.Get("Accept"))
 
@@ -93,47 +134,44 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if err != nil {
 		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 	}
-	var audioResponse AudioResponse
 
+	if relayMode != RelayModeAudioSpeech {
+		responseBody, err := io.ReadAll(resp.Body)
+		if err != nil {
+			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+		}
+		err = resp.Body.Close()
+		if err != nil {
+			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+		}
+		var whisperResponse WhisperResponse
+		err = json.Unmarshal(responseBody, &whisperResponse)
+		if err != nil {
+			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
+		}
+		quota = countTokenText(whisperResponse.Text, audioModel)
+		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
+	}
+	if resp.StatusCode != http.StatusOK {
+		if preConsumedQuota > 0 {
+			// we need to roll back the pre-consumed quota
+			defer func(ctx context.Context) {
+				go func() {
+					// negative means add quota back for token & user
+					err := model.PostConsumeTokenQuota(tokenId, -preConsumedQuota)
+					if err != nil {
+						common.LogError(ctx, fmt.Sprintf("error rollback pre-consumed quota: %s", err.Error()))
+					}
+				}()
+			}(c.Request.Context())
+		}
+		return relayErrorHandler(resp)
+	}
+	quotaDelta := quota - preConsumedQuota
 	defer func(ctx context.Context) {
-		go func() {
+		go postConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
-			quota := countTokenText(audioResponse.Text, audioModel)
-			quotaDelta := quota - preConsumedQuota
-			err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
-			if err != nil {
-				common.SysError("error consuming token remain quota: " + err.Error())
-			}
-			err = model.CacheUpdateUserQuota(userId)
-			if err != nil {
-				common.SysError("error update user quota cache: " + err.Error())
-			}
-			if quota != 0 {
-				tokenName := c.GetString("token_name")
-				logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
-				model.RecordConsumeLog(ctx, userId, channelId, 0, 0, audioModel, tokenName, quota, logContent)
-				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
-				channelId := c.GetInt("channel_id")
-				model.UpdateChannelUsedQuota(channelId, quota)
-			}
-		}()
 	}(c.Request.Context())
 
-	responseBody, err := io.ReadAll(resp.Body)
-
-	if err != nil {
-		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
-	}
-	err = resp.Body.Close()
-	if err != nil {
-		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
-	}
-	err = json.Unmarshal(responseBody, &audioResponse)
-	if err != nil {
-		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
-	}
-
-	resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
-
 	for k, v := range resp.Header {
 		c.Writer.Header().Set(k, v[0])
 	}

controller/relay-baidu.go

@@ -89,7 +89,7 @@ func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
 		if message.Role == "system" {
 			messages = append(messages, BaiduMessage{
 				Role:    "user",
-				Content: message.Content,
+				Content: message.StringContent(),
 			})
 			messages = append(messages, BaiduMessage{
 				Role:    "assistant",
@@ -98,7 +98,7 @@ func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
 		} else {
 			messages = append(messages, BaiduMessage{
 				Role:    message.Role,
-				Content: message.Content,
+				Content: message.StringContent(),
 			})
 		}
 	}

controller/relay-claude.go

@@ -70,7 +70,9 @@ func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest {
 		} else if message.Role == "assistant" {
 			prompt += fmt.Sprintf("\n\nAssistant: %s", message.Content)
 		} else if message.Role == "system" {
-			prompt += fmt.Sprintf("\n\nSystem: %s", message.Content)
+			if prompt == "" {
+				prompt = message.StringContent()
+			}
 		}
 	}
 	prompt += "\n\nAssistant:"

controller/relay-image.go

@@ -6,44 +6,80 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+	"strings"
+
+	"github.com/gin-gonic/gin"
 )
 
+func isWithinRange(element string, value int) bool {
+	if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
+		return false
+	}
+
+	min := common.DalleGenerationImageAmounts[element][0]
+	max := common.DalleGenerationImageAmounts[element][1]
+
+	return value >= min && value <= max
+}
+
 func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
-	imageModel := "dall-e"
+	imageModel := "dall-e-2"
+	imageSize := "1024x1024"
 
 	tokenId := c.GetInt("token_id")
 	channelType := c.GetInt("channel")
 	channelId := c.GetInt("channel_id")
 	userId := c.GetInt("id")
-	consumeQuota := c.GetBool("consume_quota")
 	group := c.GetString("group")
 
 	var imageRequest ImageRequest
-	if consumeQuota {
+	err := common.UnmarshalBodyReusable(c, &imageRequest)
-		err := common.UnmarshalBodyReusable(c, &imageRequest)
+	if err != nil {
-		if err != nil {
+		return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
-			return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
+	}
+
+	// Size validation
+	if imageRequest.Size != "" {
+		imageSize = imageRequest.Size
+	}
+
+	// Model validation
+	if imageRequest.Model != "" {
+		imageModel = imageRequest.Model
+	}
+
+	imageCostRatio, hasValidSize := common.DalleSizeRatios[imageModel][imageSize]
+
+	// Check if model is supported
+	if hasValidSize {
+		if imageRequest.Quality == "hd" && imageModel == "dall-e-3" {
+			if imageSize == "1024x1024" {
+				imageCostRatio *= 2
+			} else {
+				imageCostRatio *= 1.5
+			}
 		}
+	} else {
+		return errorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
 	}
 
 	// Prompt validation
 	if imageRequest.Prompt == "" {
-		return errorWrapper(errors.New("prompt is required"), "required_field_missing", http.StatusBadRequest)
+		return errorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
 	}
 
-	// Not "256x256", "512x512", or "1024x1024"
+	// Check prompt length
-	if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
+	if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
-		return errorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024"), "invalid_field_value", http.StatusBadRequest)
+		return errorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
 	}
 
-	// N should between 1 and 10
+	// Number of generated images validation
-	if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
+	if isWithinRange(imageModel, imageRequest.N) == false {
-		return errorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
+		return errorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
 	}
 
 	// map model name
@@ -66,8 +102,15 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 		baseURL = c.GetString("base_url")
 	}
 	fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
+	if channelType == common.ChannelTypeAzure && relayMode == RelayModeImagesGenerations {
+		// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
+		apiVersion := GetAPIVersion(c)
+		// https://{resource_name}.openai.azure.com/openai/deployments/dall-e-3/images/generations?api-version=2023-06-01-preview
+		fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", baseURL, imageModel, apiVersion)
+	}
+
 	var requestBody io.Reader
-	if isModelMapped {
+	if isModelMapped || channelType == common.ChannelTypeAzure { // make Azure channel request body
 		jsonStr, err := json.Marshal(imageRequest)
 		if err != nil {
 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
@@ -82,18 +125,9 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	ratio := modelRatio * groupRatio
 	userQuota, err := model.CacheGetUserQuota(userId)
 
-	sizeRatio := 1.0
+	quota := int(ratio*imageCostRatio*1000) * imageRequest.N
-	// Size
-	if imageRequest.Size == "256x256" {
-		sizeRatio = 1
-	} else if imageRequest.Size == "512x512" {
-		sizeRatio = 1.125
-	} else if imageRequest.Size == "1024x1024" {
-		sizeRatio = 1.25
-	}
-	quota := int(ratio*sizeRatio*1000) * imageRequest.N
 
-	if consumeQuota && userQuota-quota < 0 {
+	if userQuota-quota < 0 {
 		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
 	}
 
@@ -101,7 +135,13 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if err != nil {
 		return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
 	}
-	req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
+	token := c.Request.Header.Get("Authorization")
+	if channelType == common.ChannelTypeAzure { // Azure authentication
+		token = strings.TrimPrefix(token, "Bearer ")
+		req.Header.Set("api-key", token)
+	} else {
+		req.Header.Set("Authorization", token)
+	}
 
 	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
 	req.Header.Set("Accept", c.Request.Header.Get("Accept"))
@@ -122,43 +162,39 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	var textResponse ImageResponse
 
 	defer func(ctx context.Context) {
-		if consumeQuota {
+		err := model.PostConsumeTokenQuota(tokenId, quota)
-			err := model.PostConsumeTokenQuota(tokenId, quota)
+		if err != nil {
-			if err != nil {
+			common.SysError("error consuming token remain quota: " + err.Error())
-				common.SysError("error consuming token remain quota: " + err.Error())
+		}
-			}
+		err = model.CacheUpdateUserQuota(userId)
-			err = model.CacheUpdateUserQuota(userId)
+		if err != nil {
-			if err != nil {
+			common.SysError("error update user quota cache: " + err.Error())
-				common.SysError("error update user quota cache: " + err.Error())
+		}
-			}
+		if quota != 0 {
-			if quota != 0 {
+			tokenName := c.GetString("token_name")
-				tokenName := c.GetString("token_name")
+			logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
-				logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
+			model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent)
-				model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent)
+			model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
-				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
+			channelId := c.GetInt("channel_id")
-				channelId := c.GetInt("channel_id")
+			model.UpdateChannelUsedQuota(channelId, quota)
-				model.UpdateChannelUsedQuota(channelId, quota)
-			}
 		}
 	}(c.Request.Context())
 
-	if consumeQuota {
+	responseBody, err := io.ReadAll(resp.Body)
-		responseBody, err := io.ReadAll(resp.Body)
 
-		if err != nil {
+	if err != nil {
-			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
-		}
-		err = resp.Body.Close()
-		if err != nil {
-			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
-		}
-		err = json.Unmarshal(responseBody, &textResponse)
-		if err != nil {
-			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
-		}
-
-		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
 	}
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+	}
+	err = json.Unmarshal(responseBody, &textResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
+	}
+
+	resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
 
 	for k, v := range resp.Header {
 		c.Writer.Header().Set(k, v[0])

controller/relay-openai.go

@@ -88,30 +88,29 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 	return nil, responseText
 }
 
-func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
+func openaiHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
 	var textResponse TextResponse
-	if consumeQuota {
+	responseBody, err := io.ReadAll(resp.Body)
-		responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
-		if err != nil {
+		return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
-			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
-		}
-		err = resp.Body.Close()
-		if err != nil {
-			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
-		}
-		err = json.Unmarshal(responseBody, &textResponse)
-		if err != nil {
-			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
-		}
-		if textResponse.Error.Type != "" {
-			return &OpenAIErrorWithStatusCode{
-				OpenAIError: textResponse.Error,
-				StatusCode:  resp.StatusCode,
-			}, nil
-		}
-		// Reset response body
-		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
 	}
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = json.Unmarshal(responseBody, &textResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if textResponse.Error.Type != "" {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: textResponse.Error,
+			StatusCode:  resp.StatusCode,
+		}, nil
+	}
+	// Reset response body
+	resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
+
 	// We shouldn't set the header before we parse the response body, because the parse part may fail.
 	// And then we will have to send an error response, but in this case, the header has already been set.
 	// So the httpClient will be confused by the response.
@@ -120,7 +119,7 @@ func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promp
 		c.Writer.Header().Set(k, v[0])
 	}
 	c.Writer.WriteHeader(resp.StatusCode)
-	_, err := io.Copy(c.Writer, resp.Body)
+	_, err = io.Copy(c.Writer, resp.Body)
 	if err != nil {
 		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError), nil
 	}
@@ -132,7 +131,7 @@ func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promp
 	if textResponse.Usage.TotalTokens == 0 {
 		completionTokens := 0
 		for _, choice := range textResponse.Choices {
-			completionTokens += countTokenText(choice.Message.Content, model)
+			completionTokens += countTokenText(choice.Message.StringContent(), model)
 		}
 		textResponse.Usage = Usage{
 			PromptTokens:     promptTokens,

controller/relay-palm.go

@@ -59,7 +59,7 @@ func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
 	}
 	for _, message := range textRequest.Messages {
 		palmMessage := PaLMChatMessage{
-			Content: message.Content,
+			Content: message.StringContent(),
 		}
 		if message.Role == "user" {
 			palmMessage.Author = "0"

controller/relay-tencent.go

@@ -84,7 +84,7 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
 		if message.Role == "system" {
 			messages = append(messages, TencentMessage{
 				Role:    "user",
-				Content: message.Content,
+				Content: message.StringContent(),
 			})
 			messages = append(messages, TencentMessage{
 				Role:    "assistant",
@@ -93,7 +93,7 @@ func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
 			continue
 		}
 		messages = append(messages, TencentMessage{
-			Content: message.Content,
+			Content: message.StringContent(),
 			Role:    message.Role,
 		})
 	}

controller/relay-text.go

@@ -7,6 +7,7 @@ import (
 	"errors"
 	"fmt"
 	"io"
+	"math"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
@@ -50,14 +51,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	channelId := c.GetInt("channel_id")
 	tokenId := c.GetInt("token_id")
 	userId := c.GetInt("id")
-	consumeQuota := c.GetBool("consume_quota")
 	group := c.GetString("group")
 	var textRequest GeneralOpenAIRequest
-	if consumeQuota || channelType == common.ChannelTypeAzure || channelType == common.ChannelTypePaLM {
+	err := common.UnmarshalBodyReusable(c, &textRequest)
-		err := common.UnmarshalBodyReusable(c, &textRequest)
+	if err != nil {
-		if err != nil {
+		return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
-			return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
-		}
 	}
 	if relayMode == RelayModeModerations && textRequest.Model == "" {
 		textRequest.Model = "text-moderation-latest"
@@ -131,11 +129,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	case APITypeOpenAI:
 		if channelType == common.ChannelTypeAzure {
 			// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api
-			query := c.Request.URL.Query()
+			apiVersion := GetAPIVersion(c)
-			apiVersion := query.Get("api-version")
-			if apiVersion == "" {
-				apiVersion = c.GetString("api_version")
-			}
 			requestURL := strings.Split(requestURL, "?")[0]
 			requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion)
 			baseURL = c.GetString("base_url")
@@ -146,7 +140,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			model_ = strings.TrimSuffix(model_, "-0301")
 			model_ = strings.TrimSuffix(model_, "-0314")
 			model_ = strings.TrimSuffix(model_, "-0613")
-			fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task)
+
+			requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
+			fullRequestURL = getFullRequestURL(baseURL, requestURL, channelType)
 		}
 	case APITypeClaude:
 		fullRequestURL = "https://api.anthropic.com/v1/complete"
@@ -232,7 +228,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		preConsumedQuota = 0
 		common.LogInfo(c.Request.Context(), fmt.Sprintf("user %d has enough quota %d, trusted and no need to pre-consume", userId, userQuota))
 	}
-	if consumeQuota && preConsumedQuota > 0 {
+	if preConsumedQuota > 0 {
 		err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
 		if err != nil {
 			return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
@@ -366,6 +362,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 		case APITypeTencent:
 			req.Header.Set("Authorization", apiKey)
+		case APITypePaLM:
+			// do not set Authorization header
 		default:
 			req.Header.Set("Authorization", "Bearer "+apiKey)
 		}
@@ -409,39 +407,36 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	defer func(ctx context.Context) {
 		// c.Writer.Flush()
 		go func() {
-			if consumeQuota {
+			quota := 0
-				quota := 0
+			completionRatio := common.GetCompletionRatio(textRequest.Model)
-				completionRatio := common.GetCompletionRatio(textRequest.Model)
+			promptTokens = textResponse.Usage.PromptTokens
-				promptTokens = textResponse.Usage.PromptTokens
+			completionTokens = textResponse.Usage.CompletionTokens
-				completionTokens = textResponse.Usage.CompletionTokens
+			quota = int(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))
-
+			if ratio != 0 && quota <= 0 {
-				quota = promptTokens + int(float64(completionTokens)*completionRatio)
+				quota = 1
-				quota = int(float64(quota) * ratio)
-				if ratio != 0 && quota <= 0 {
-					quota = 1
-				}
-				totalTokens := promptTokens + completionTokens
-				if totalTokens == 0 {
-					// in this case, must be some error happened
-					// we cannot just return, because we may have to return the pre-consumed quota
-					quota = 0
-				}
-				quotaDelta := quota - preConsumedQuota
-				err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
-				if err != nil {
-					common.LogError(ctx, "error consuming token remain quota: "+err.Error())
-				}
-				err = model.CacheUpdateUserQuota(userId)
-				if err != nil {
-					common.LogError(ctx, "error update user quota cache: "+err.Error())
-				}
-				if quota != 0 {
-					logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
-					model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
-					model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
-					model.UpdateChannelUsedQuota(channelId, quota)
-				}
 			}
+			totalTokens := promptTokens + completionTokens
+			if totalTokens == 0 {
+				// in this case, must be some error happened
+				// we cannot just return, because we may have to return the pre-consumed quota
+				quota = 0
+			}
+			quotaDelta := quota - preConsumedQuota
+			err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
+			if err != nil {
+				common.LogError(ctx, "error consuming token remain quota: "+err.Error())
+			}
+			err = model.CacheUpdateUserQuota(userId)
+			if err != nil {
+				common.LogError(ctx, "error update user quota cache: "+err.Error())
+			}
+			if quota != 0 {
+				logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
+				model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
+				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
+				model.UpdateChannelUsedQuota(channelId, quota)
+			}
+
 		}()
 	}(c.Request.Context())
 	switch apiType {
@@ -455,7 +450,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
-			err, usage := openaiHandler(c, resp, consumeQuota, promptTokens, textRequest.Model)
+			err, usage := openaiHandler(c, resp, promptTokens, textRequest.Model)
 			if err != nil {
 				return err
 			}

controller/relay-utils.go

@@ -1,15 +1,18 @@
 package controller
 
 import (
+	"context"
 	"encoding/json"
 	"fmt"
-	"github.com/gin-gonic/gin"
-	"github.com/pkoukk/tiktoken-go"
 	"io"
 	"net/http"
 	"one-api/common"
+	"one-api/model"
 	"strconv"
 	"strings"
+
+	"github.com/gin-gonic/gin"
+	"github.com/pkoukk/tiktoken-go"
 )
 
 var stopFinishReason = "stop"
@@ -84,7 +87,7 @@ func countTokenMessages(messages []Message, model string) int {
 	tokenNum := 0
 	for _, message := range messages {
 		tokenNum += tokensPerMessage
-		tokenNum += getTokenNum(tokenEncoder, message.Content)
+		tokenNum += getTokenNum(tokenEncoder, message.StringContent())
 		tokenNum += getTokenNum(tokenEncoder, message.Role)
 		if message.Name != nil {
 			tokenNum += tokensPerName
@@ -142,6 +145,19 @@ func shouldDisableChannel(err *OpenAIError, statusCode int) bool {
 	return false
 }
 
+func shouldEnableChannel(err error, openAIErr *OpenAIError) bool {
+	if !common.AutomaticEnableChannelEnabled {
+		return false
+	}
+	if err != nil {
+		return false
+	}
+	if openAIErr != nil {
+		return false
+	}
+	return true
+}
+
 func setEventStreamHeaders(c *gin.Context) {
 	c.Writer.Header().Set("Content-Type", "text/event-stream")
 	c.Writer.Header().Set("Cache-Control", "no-cache")
@@ -179,10 +195,45 @@ func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIEr
 
 func getFullRequestURL(baseURL string, requestURL string, channelType int) string {
 	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
-	if channelType == common.ChannelTypeOpenAI {
+
-		if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
+	if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
+		switch channelType {
+		case common.ChannelTypeOpenAI:
 			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/v1"))
+		case common.ChannelTypeAzure:
+			fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/openai/deployments"))
 		}
 	}
 	return fullRequestURL
 }
+
+func postConsumeQuota(ctx context.Context, tokenId int, quotaDelta int, totalQuota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
+	// quotaDelta is remaining quota to be consumed
+	err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
+	if err != nil {
+		common.SysError("error consuming token remain quota: " + err.Error())
+	}
+	err = model.CacheUpdateUserQuota(userId)
+	if err != nil {
+		common.SysError("error update user quota cache: " + err.Error())
+	}
+	// totalQuota is total quota consumed
+	if totalQuota != 0 {
+		logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
+		model.RecordConsumeLog(ctx, userId, channelId, totalQuota, 0, modelName, tokenName, totalQuota, logContent)
+		model.UpdateUserUsedQuotaAndRequestCount(userId, totalQuota)
+		model.UpdateChannelUsedQuota(channelId, totalQuota)
+	}
+	if totalQuota <= 0 {
+		common.LogError(ctx, fmt.Sprintf("totalQuota consumed is %d, something is wrong", totalQuota))
+	}
+}
+
+func GetAPIVersion(c *gin.Context) string {
+	query := c.Request.URL.Query()
+	apiVersion := query.Get("api-version")
+	if apiVersion == "" {
+		apiVersion = c.GetString("api_version")
+	}
+	return apiVersion
+}

controller/relay-xunfei.go

@@ -81,7 +81,7 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, doma
 		if message.Role == "system" {
 			messages = append(messages, XunfeiMessage{
 				Role:    "user",
-				Content: message.Content,
+				Content: message.StringContent(),
 			})
 			messages = append(messages, XunfeiMessage{
 				Role:    "assistant",
@@ -90,7 +90,7 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, doma
 		} else {
 			messages = append(messages, XunfeiMessage{
 				Role:    message.Role,
-				Content: message.Content,
+				Content: message.StringContent(),
 			})
 		}
 	}

controller/relay-zhipu.go

@@ -114,7 +114,7 @@ func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
 		if message.Role == "system" {
 			messages = append(messages, ZhipuMessage{
 				Role:    "system",
-				Content: message.Content,
+				Content: message.StringContent(),
 			})
 			messages = append(messages, ZhipuMessage{
 				Role:    "user",
@@ -123,7 +123,7 @@ func requestOpenAI2Zhipu(request GeneralOpenAIRequest) *ZhipuRequest {
 		} else {
 			messages = append(messages, ZhipuMessage{
 				Role:    message.Role,
-				Content: message.Content,
+				Content: message.StringContent(),
 			})
 		}
 	}

controller/relay.go

@@ -12,10 +12,49 @@ import (
 
 type Message struct {
 	Role    string  `json:"role"`
-	Content string  `json:"content"`
+	Content any     `json:"content"`
 	Name    *string `json:"name,omitempty"`
 }
 
+type ImageURL struct {
+	Url    string `json:"url,omitempty"`
+	Detail string `json:"detail,omitempty"`
+}
+
+type TextContent struct {
+	Type string `json:"type,omitempty"`
+	Text string `json:"text,omitempty"`
+}
+
+type ImageContent struct {
+	Type     string    `json:"type,omitempty"`
+	ImageURL *ImageURL `json:"image_url,omitempty"`
+}
+
+func (m Message) StringContent() string {
+	content, ok := m.Content.(string)
+	if ok {
+		return content
+	}
+	contentList, ok := m.Content.([]any)
+	if ok {
+		var contentStr string
+		for _, contentItem := range contentList {
+			contentMap, ok := contentItem.(map[string]any)
+			if !ok {
+				continue
+			}
+			if contentMap["type"] == "text" {
+				if subStr, ok := contentMap["text"].(string); ok {
+					contentStr += subStr
+				}
+			}
+		}
+		return contentStr
+	}
+	return ""
+}
+
 const (
 	RelayModeUnknown = iota
 	RelayModeChatCompletions
@@ -24,24 +63,37 @@ const (
 	RelayModeModerations
 	RelayModeImagesGenerations
 	RelayModeEdits
-	RelayModeAudio
+	RelayModeAudioSpeech
+	RelayModeAudioTranscription
+	RelayModeAudioTranslation
 )
 
 // https://platform.openai.com/docs/api-reference/chat
 
+type ResponseFormat struct {
+	Type string `json:"type,omitempty"`
+}
+
 type GeneralOpenAIRequest struct {
-	Model       string    `json:"model,omitempty"`
+	Model            string          `json:"model,omitempty"`
-	Messages    []Message `json:"messages,omitempty"`
+	Messages         []Message       `json:"messages,omitempty"`
-	Prompt      any       `json:"prompt,omitempty"`
+	Prompt           any             `json:"prompt,omitempty"`
-	Stream      bool      `json:"stream,omitempty"`
+	Stream           bool            `json:"stream,omitempty"`
-	MaxTokens   int       `json:"max_tokens,omitempty"`
+	MaxTokens        int             `json:"max_tokens,omitempty"`
-	Temperature float64   `json:"temperature,omitempty"`
+	Temperature      float64         `json:"temperature,omitempty"`
-	TopP        float64   `json:"top_p,omitempty"`
+	TopP             float64         `json:"top_p,omitempty"`
-	N           int       `json:"n,omitempty"`
+	N                int             `json:"n,omitempty"`
-	Input       any       `json:"input,omitempty"`
+	Input            any             `json:"input,omitempty"`
-	Instruction string    `json:"instruction,omitempty"`
+	Instruction      string          `json:"instruction,omitempty"`
-	Size        string    `json:"size,omitempty"`
+	Size             string          `json:"size,omitempty"`
-	Functions   any       `json:"functions,omitempty"`
+	Functions        any             `json:"functions,omitempty"`
+	FrequencyPenalty float64         `json:"frequency_penalty,omitempty"`
+	PresencePenalty  float64         `json:"presence_penalty,omitempty"`
+	ResponseFormat   *ResponseFormat `json:"response_format,omitempty"`
+	Seed             float64         `json:"seed,omitempty"`
+	Tools            any             `json:"tools,omitempty"`
+	ToolChoice       any             `json:"tool_choice,omitempty"`
+	User             string          `json:"user,omitempty"`
 }
 
 func (r GeneralOpenAIRequest) ParseInput() []string {
@@ -77,16 +129,30 @@ type TextRequest struct {
 	//Stream   bool      `json:"stream"`
 }
 
+// ImageRequest docs: https://platform.openai.com/docs/api-reference/images/create
 type ImageRequest struct {
-	Prompt string `json:"prompt"`
+	Model          string `json:"model"`
-	N      int    `json:"n"`
+	Prompt         string `json:"prompt" binding:"required"`
-	Size   string `json:"size"`
+	N              int    `json:"n,omitempty"`
+	Size           string `json:"size,omitempty"`
+	Quality        string `json:"quality,omitempty"`
+	ResponseFormat string `json:"response_format,omitempty"`
+	Style          string `json:"style,omitempty"`
+	User           string `json:"user,omitempty"`
 }
 
-type AudioResponse struct {
+type WhisperResponse struct {
 	Text string `json:"text,omitempty"`
 }
 
+type TextToSpeechRequest struct {
+	Model          string  `json:"model" binding:"required"`
+	Input          string  `json:"input" binding:"required"`
+	Voice          string  `json:"voice" binding:"required"`
+	Speed          float64 `json:"speed"`
+	ResponseFormat string  `json:"response_format"`
+}
+
 type Usage struct {
 	PromptTokens     int `json:"prompt_tokens"`
 	CompletionTokens int `json:"completion_tokens"`
@@ -183,14 +249,22 @@ func Relay(c *gin.Context) {
 		relayMode = RelayModeImagesGenerations
 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/edits") {
 		relayMode = RelayModeEdits
-	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
+	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/speech") {
-		relayMode = RelayModeAudio
+		relayMode = RelayModeAudioSpeech
+	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
+		relayMode = RelayModeAudioTranscription
+	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
+		relayMode = RelayModeAudioTranslation
 	}
 	var err *OpenAIErrorWithStatusCode
 	switch relayMode {
 	case RelayModeImagesGenerations:
 		err = relayImageHelper(c, relayMode)
-	case RelayModeAudio:
+	case RelayModeAudioSpeech:
+		fallthrough
+	case RelayModeAudioTranslation:
+		fallthrough
+	case RelayModeAudioTranscription:
 		err = relayAudioHelper(c, relayMode)
 	default:
 		err = relayTextHelper(c, relayMode)

docker-compose.yml

@@ -9,19 +9,19 @@ services:
     ports:
       - "3000:3000"
     volumes:
-      - ./data:/data
+      - ./data/oneapi:/data
       - ./logs:/app/logs
     environment:
-      - SQL_DSN=root:123456@tcp(host.docker.internal:3306)/one-api  # 修改此行，或注释掉以使用 SQLite 作为数据库
+      - SQL_DSN=oneapi:123456@tcp(db:3306)/one-api  # 修改此行，或注释掉以使用 SQLite 作为数据库
       - REDIS_CONN_STRING=redis://redis
       - SESSION_SECRET=random_string  # 修改为随机字符串
       - TZ=Asia/Shanghai
 #      - NODE_TYPE=slave  # 多机部署时从节点取消注释该行
 #      - SYNC_FREQUENCY=60  # 需要定期从数据库加载数据时取消注释该行
 #      - FRONTEND_BASE_URL=https://openai.justsong.cn  # 多机部署时从节点取消注释该行
-
     depends_on:
       - redis
+      - db
     healthcheck:
       test: [ "CMD-SHELL", "wget -q -O - http://localhost:3000/api/status | grep -o '\"success\":\\s*true' | awk -F: '{print $2}'" ]
       interval: 30s
@@ -32,3 +32,18 @@ services:
     image: redis:latest
     container_name: redis
     restart: always
+
+  db:
+    image: mysql:8.2.0
+    restart: always
+    container_name: mysql
+    volumes:
+      - ./data/mysql:/var/lib/mysql  # 挂载目录，持久化存储
+    ports:
+      - '3306:3306'
+    environment:
+      TZ: Asia/Shanghai   # 设置时区
+      MYSQL_ROOT_PASSWORD: 'OneAPI@justsong' # 设置 root 用户的密码
+      MYSQL_USER: oneapi   # 创建专用用户
+      MYSQL_PASSWORD: '123456'    # 设置专用用户密码
+      MYSQL_DATABASE: one-api   # 自动创建数据库

i18n/en.json

@@ -119,6 +119,7 @@
   " 年 ": " y ",
   "未测试": "Not tested",
   "通道 ${name} 测试成功，耗时 ${time.toFixed(2)} 秒。": "Channel ${name} test succeeded, time consumed ${time.toFixed(2)} s.",
+  "已成功开始测试所有通道，请刷新页面查看结果。": "All channels have been successfully tested, please refresh the page to view the results.",
   "已成功开始测试所有已启用通道，请刷新页面查看结果。": "All enabled channels have been successfully tested, please refresh the page to view the results.",
   "通道 ${name} 余额更新成功！": "Channel ${name} balance updated successfully!",
   "已更新完毕所有已启用通道余额！": "The balance of all enabled channels has been updated!",
@@ -139,6 +140,7 @@
   "启用": "Enable",
   "编辑": "Edit",
   "添加新的渠道": "Add a new channel",
+  "测试所有通道": "Test all channels",
   "测试所有已启用通道": "Test all enabled channels",
   "更新所有已启用通道余额": "Update the balance of all enabled channels",
   "刷新": "Refresh",

middleware/auth.go

@@ -106,12 +106,6 @@ func TokenAuth() func(c *gin.Context) {
 		c.Set("id", token.UserId)
 		c.Set("token_id", token.Id)
 		c.Set("token_name", token.Name)
-		requestURL := c.Request.URL.String()
-		consumeQuota := true
-		if strings.HasPrefix(requestURL, "/v1/models") {
-			consumeQuota = false
-		}
-		c.Set("consume_quota", consumeQuota)
 		if len(parts) > 1 {
 			if model.IsAdmin(token.UserId) {
 				c.Set("channelId", parts[1])

middleware/distributor.go

@@ -40,10 +40,7 @@ func Distribute() func(c *gin.Context) {
 		} else {
 			// Select a channel for the user
 			var modelRequest ModelRequest
-			var err error
+			err := common.UnmarshalBodyReusable(c, &modelRequest)
-			if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
-				err = common.UnmarshalBodyReusable(c, &modelRequest)
-			}
 			if err != nil {
 				abortWithMessage(c, http.StatusBadRequest, "无效的请求")
 				return
@@ -60,10 +57,10 @@ func Distribute() func(c *gin.Context) {
 			}
 			if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") {
 				if modelRequest.Model == "" {
-					modelRequest.Model = "dall-e"
+					modelRequest.Model = "dall-e-2"
 				}
 			}
-			if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
+			if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") || strings.HasPrefix(c.Request.URL.Path, "/v1/audio/translations") {
 				if modelRequest.Model == "" {
 					modelRequest.Model = "whisper-1"
 				}

model/log.go

@@ -94,7 +94,7 @@ func GetAllLogs(logType int, startTimestamp int64, endTimestamp int64, modelName
 		tx = tx.Where("created_at <= ?", endTimestamp)
 	}
 	if channel != 0 {
-		tx = tx.Where("channel = ?", channel)
+		tx = tx.Where("channel_id = ?", channel)
 	}
 	err = tx.Order("id desc").Limit(num).Offset(startIdx).Find(&logs).Error
 	return logs, err
@@ -151,7 +151,7 @@ func SumUsedQuota(logType int, startTimestamp int64, endTimestamp int64, modelNa
 		tx = tx.Where("model_name = ?", modelName)
 	}
 	if channel != 0 {
-		tx = tx.Where("channel = ?", channel)
+		tx = tx.Where("channel_id = ?", channel)
 	}
 	tx.Where("type = ?", LogTypeConsume).Scan(&quota)
 	return quota

model/option.go

@@ -34,6 +34,7 @@ func InitOptionMap() {
 	common.OptionMap["TurnstileCheckEnabled"] = strconv.FormatBool(common.TurnstileCheckEnabled)
 	common.OptionMap["RegisterEnabled"] = strconv.FormatBool(common.RegisterEnabled)
 	common.OptionMap["AutomaticDisableChannelEnabled"] = strconv.FormatBool(common.AutomaticDisableChannelEnabled)
+	common.OptionMap["AutomaticEnableChannelEnabled"] = strconv.FormatBool(common.AutomaticEnableChannelEnabled)
 	common.OptionMap["ApproximateTokenEnabled"] = strconv.FormatBool(common.ApproximateTokenEnabled)
 	common.OptionMap["LogConsumeEnabled"] = strconv.FormatBool(common.LogConsumeEnabled)
 	common.OptionMap["DisplayInCurrencyEnabled"] = strconv.FormatBool(common.DisplayInCurrencyEnabled)
@@ -147,6 +148,8 @@ func updateOptionMap(key string, value string) (err error) {
 			common.EmailDomainRestrictionEnabled = boolValue
 		case "AutomaticDisableChannelEnabled":
 			common.AutomaticDisableChannelEnabled = boolValue
+		case "AutomaticEnableChannelEnabled":
+			common.AutomaticEnableChannelEnabled = boolValue
 		case "ApproximateTokenEnabled":
 			common.ApproximateTokenEnabled = boolValue
 		case "LogConsumeEnabled":

pull_request_template.md

@@ -0,0 +1,3 @@
+close #issue_number
+
+我已确认该 PR 已自测通过，相关截图如下：

router/relay-router.go

@@ -29,6 +29,7 @@ func SetRelayRouter(router *gin.Engine) {
 		relayV1Router.POST("/engines/:model/embeddings", controller.Relay)
 		relayV1Router.POST("/audio/transcriptions", controller.Relay)
 		relayV1Router.POST("/audio/translations", controller.Relay)
+		relayV1Router.POST("/audio/speech", controller.Relay)
 		relayV1Router.GET("/files", controller.RelayNotImplemented)
 		relayV1Router.POST("/files", controller.RelayNotImplemented)
 		relayV1Router.DELETE("/files/:id", controller.RelayNotImplemented)

web/src/components/ChannelsTable.js

@@ -234,7 +234,7 @@ const ChannelsTable = () => {
     const res = await API.get(`/api/channel/test`);
     const { success, message } = res.data;
     if (success) {
-      showInfo('已成功开始测试所有已启用通道，请刷新页面查看结果。');
+      showInfo('已成功开始测试所有通道，请刷新页面查看结果。');
     } else {
       showError(message);
     }
@@ -286,17 +286,15 @@ const ChannelsTable = () => {
     if (channels.length === 0) return;
     setLoading(true);
     let sortedChannels = [...channels];
-    if (typeof sortedChannels[0][key] === 'string') {
+    sortedChannels.sort((a, b) => {
-      sortedChannels.sort((a, b) => {
+      if (!isNaN(a[key])) {
+        // If the value is numeric, subtract to sort
+        return a[key] - b[key];
+      } else {
+        // If the value is not numeric, sort as strings
         return ('' + a[key]).localeCompare(b[key]);
-      });
+      }
-    } else {
+    });
-      sortedChannels.sort((a, b) => {
-        if (a[key] === b[key]) return 0;
-        if (a[key] > b[key]) return -1;
-        if (a[key] < b[key]) return 1;
-      });
-    }
     if (sortedChannels[0].id === channels[0].id) {
       sortedChannels.reverse();
     }
@@ -304,6 +302,7 @@ const ChannelsTable = () => {
     setLoading(false);
   };
 
+
   return (
     <>
       <Form onSubmit={searchChannels}>

web/src/components/OperationSetting.js

@@ -16,6 +16,7 @@ const OperationSetting = () => {
     ChatLink: '',
     QuotaPerUnit: 0,
     AutomaticDisableChannelEnabled: '',
+    AutomaticEnableChannelEnabled: '',
     ChannelDisableThreshold: 0,
     LogConsumeEnabled: '',
     DisplayInCurrencyEnabled: '',
@@ -269,6 +270,12 @@ const OperationSetting = () => {
               name='AutomaticDisableChannelEnabled'
               onChange={handleInputChange}
             />
+            <Form.Checkbox
+                checked={inputs.AutomaticEnableChannelEnabled === 'true'}
+                label='成功时自动启用通道'
+                name='AutomaticEnableChannelEnabled'
+                onChange={handleInputChange}
+            />
           </Form.Group>
           <Form.Button onClick={() => {
             submitConfig('monitor').then();

web/src/components/RedemptionsTable.js

@@ -130,7 +130,13 @@ const RedemptionsTable = () => {
     setLoading(true);
     let sortedRedemptions = [...redemptions];
     sortedRedemptions.sort((a, b) => {
-      return ('' + a[key]).localeCompare(b[key]);
+      if (!isNaN(a[key])) {
+        // If the value is numeric, subtract to sort
+        return a[key] - b[key];
+      } else {
+        // If the value is not numeric, sort as strings
+        return ('' + a[key]).localeCompare(b[key]);
+      }
     });
     if (sortedRedemptions[0].id === redemptions[0].id) {
       sortedRedemptions.reverse();

web/src/components/TokensTable.js

@@ -228,7 +228,13 @@ const TokensTable = () => {
     setLoading(true);
     let sortedTokens = [...tokens];
     sortedTokens.sort((a, b) => {
-      return ('' + a[key]).localeCompare(b[key]);
+      if (!isNaN(a[key])) {
+        // If the value is numeric, subtract to sort
+        return a[key] - b[key];
+      } else {
+        // If the value is not numeric, sort as strings
+        return ('' + a[key]).localeCompare(b[key]);
+      }
     });
     if (sortedTokens[0].id === tokens[0].id) {
       sortedTokens.reverse();

web/src/components/UsersTable.js

@@ -133,7 +133,13 @@ const UsersTable = () => {
     setLoading(true);
     let sortedUsers = [...users];
     sortedUsers.sort((a, b) => {
-      return ('' + a[key]).localeCompare(b[key]);
+      if (!isNaN(a[key])) {
+        // If the value is numeric, subtract to sort
+        return a[key] - b[key];
+      } else {
+        // If the value is not numeric, sort as strings
+        return ('' + a[key]).localeCompare(b[key]);
+      }
     });
     if (sortedUsers[0].id === users[0].id) {
       sortedUsers.reverse();

web/src/pages/Channel/EditChannel.js

@@ -60,7 +60,7 @@ const EditChannel = () => {
       let localModels = [];
       switch (value) {
         case 14:
-          localModels = ['claude-instant-1', 'claude-2'];
+          localModels = ['claude-instant-1', 'claude-2', 'claude-2.0', 'claude-2.1'];
           break;
         case 11:
           localModels = ['PaLM-2'];
@@ -72,7 +72,7 @@ const EditChannel = () => {
           localModels = ['qwen-turbo', 'qwen-plus', 'text-embedding-v1'];
           break;
         case 16:
-          localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
+          localModels = ['chatglm_turbo', 'chatglm_pro', 'chatglm_std', 'chatglm_lite'];
           break;
         case 18:
           localModels = ['SparkDesk'];