fix: skip JSON deserialization when accessing transcriptions and translations (#718)

* fix: Skip JSON deserialization when accessing transcriptions and translations.

* chore: update impl

---------

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

@@ -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`）
@@ -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/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,
@@ -41,7 +72,8 @@ 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
 	"ERNIE-Bot":                 0.8572, // ￥0.012 / 1k tokens
@@ -49,6 +81,7 @@ var ModelRatio = map[string]float64{
 	"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 +120,24 @@ 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() != "" {
-			requestURL = channel.GetBaseURL()
+		if baseURL := channel.GetBaseURL(); len(baseURL) > 0 {
+			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
@@ -71,10 +72,14 @@ 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 {
 		return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error
 	}

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,
@@ -283,7 +355,7 @@ func init() {
 			Id:         "claude-2",
 			Object:     "model",
 			Created:    1677649963,
-			OwnedBy:    "anturopic",
+			OwnedBy:    "anthropic",
 			Permission: permission,
 			Root:       "claude-2",
 			Parent:     nil,
@@ -333,6 +405,15 @@ 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-audio.go

@@ -5,7 +5,6 @@ import (
 	"context"
 	"encoding/json"
 	"errors"
-	"fmt"
 	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
@@ -21,6 +20,22 @@ 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)
@@ -31,22 +46,32 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if err != nil {
 		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
 	}
-	if userQuota-preConsumedQuota < 0 {
-		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
-	}
-	err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
-	if err != nil {
-		return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
-	}
-	if userQuota > 100*preConsumedQuota {
-		// in this case, we do not pre-consume quota
-		// because the user has enough quota
-		preConsumedQuota = 0
-	}
-	if preConsumedQuota > 0 {
-		err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
+
+	quota := 0
+	// Check if user quota is enough
+	if relayMode == RelayModeAudioSpeech {
+		quota = int(float64(len(ttsRequest.Input)) * modelRatio * groupRatio)
+		if quota > userQuota {
+			return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+		}
+	} else {
+		if userQuota-preConsumedQuota < 0 {
+			return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+		}
+		err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
 		if err != nil {
-			return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
+			return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
+		}
+		if userQuota > 100*preConsumedQuota {
+			// in this case, we do not pre-consume quota
+			// because the user has enough quota
+			preConsumedQuota = 0
+		}
+		if preConsumedQuota > 0 {
+			err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
+			if err != nil {
+				return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
+			}
 		}
 	}
 
@@ -93,47 +118,32 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	if err != nil {
 		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 	}
-	var audioResponse AudioResponse
 
-	defer func(ctx context.Context) {
-		go func() {
-			quota := countTokenText(audioResponse.Text, audioModel)
+	if relayMode == RelayModeAudioSpeech {
+		defer func(ctx context.Context) {
+			go postConsumeQuota(ctx, tokenId, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
+		}(c.Request.Context())
+	} else {
+		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)
+		}
+		defer func(ctx context.Context) {
+			quota := countTokenText(whisperResponse.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)
+			go postConsumeQuota(ctx, tokenId, quotaDelta, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
+		}(c.Request.Context())
+		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, &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-image.go

@@ -6,15 +6,28 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
 	"io"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
+
+	"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")
@@ -31,19 +44,44 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 		}
 	}
 
+	// 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"
-	if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" {
-		return errorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024"), "invalid_field_value", http.StatusBadRequest)
+	// Check prompt length
+	if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
+		return errorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
 	}
 
-	// N should between 1 and 10
-	if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) {
-		return errorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest)
+	// Number of generated images validation
+	if isWithinRange(imageModel, imageRequest.N) == false {
+		return errorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
 	}
 
 	// map model name
@@ -82,16 +120,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
 	ratio := modelRatio * groupRatio
 	userQuota, err := model.CacheGetUserQuota(userId)
 
-	sizeRatio := 1.0
-	// 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
+	quota := int(ratio*imageCostRatio*1000) * imageRequest.N
 
 	if consumeQuota && userQuota-quota < 0 {
 		return errorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)

controller/relay-text.go

@@ -7,6 +7,7 @@ import (
 	"errors"
 	"fmt"
 	"io"
+	"math"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
@@ -146,7 +147,9 @@ 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"
@@ -366,6 +369,8 @@ 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)
 		}
@@ -414,9 +419,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 				completionRatio := common.GetCompletionRatio(textRequest.Model)
 				promptTokens = textResponse.Usage.PromptTokens
 				completionTokens = textResponse.Usage.CompletionTokens
-
-				quota = promptTokens + int(float64(completionTokens)*completionRatio)
-				quota = int(float64(quota) * ratio)
+				quota = int(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))
 				if ratio != 0 && quota <= 0 {
 					quota = 1
 				}

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"
@@ -179,10 +182,32 @@ 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, quota int, userId int, channelId int, modelRatio float64, groupRatio float64, modelName string, tokenName string) {
+	err := model.PostConsumeTokenQuota(tokenId, quota)
+	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 {
+		logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
+		model.RecordConsumeLog(ctx, userId, channelId, 0, 0, modelName, tokenName, quota, logContent)
+		model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
+		model.UpdateChannelUsedQuota(channelId, quota)
+	}
+}

controller/relay.go

@@ -24,7 +24,9 @@ const (
 	RelayModeModerations
 	RelayModeImagesGenerations
 	RelayModeEdits
-	RelayModeAudio
+	RelayModeAudioSpeech
+	RelayModeAudioTranscription
+	RelayModeAudioTranslation
 )
 
 // https://platform.openai.com/docs/api-reference/chat
@@ -77,16 +79,30 @@ 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"`
-	N      int    `json:"n"`
-	Size   string `json:"size"`
+	Model          string `json:"model"`
+	Prompt         string `json:"prompt" binding:"required"`
+	N              int    `json:"n"`
+	Size           string `json:"size"`
+	Quality        string `json:"quality"`
+	ResponseFormat string `json:"response_format"`
+	Style          string `json:"style"`
+	User           string `json:"user"`
 }
 
-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 +199,22 @@ 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") {
-		relayMode = RelayModeAudio
+	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio/speech") {
+		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

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
-			if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
-				err = common.UnmarshalBodyReusable(c, &modelRequest)
-			}
+			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

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

@@ -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/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

@@ -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'];