Merge remote-tracking branch 'upstream/main' into fix_retry

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
@@ -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。

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

@@ -6,6 +6,29 @@ import (
 	"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
@@ -36,7 +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,
@@ -45,9 +72,12 @@ 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

controller/channel-test.go

@@ -5,14 +5,15 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
-	"github.com/gin-gonic/gin"
+	"io"
 	"net/http"
 	"one-api/common"
 	"one-api/model"
 	"strconv"
-	"strings"
 	"sync"
 	"time"
+
+	"github.com/gin-gonic/gin"
 )
 
 func testChannel(channel *model.Channel, request ChatRequest) (err error, openaiErr *OpenAIError) {
@@ -43,16 +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"
-	}
-	// for Cloudflare AI gateway: https://github.com/songquanpeng/one-api/pull/639
-	requestURL = strings.Replace(requestURL, "/v1/v1", "/v1", 1)
 
+		requestURL = getFullRequestURL(requestURL, "/v1/chat/completions", channel.Type)
+	}
 	jsonData, err := json.Marshal(request)
 	if err != nil {
 		return err, nil
@@ -73,10 +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",
@@ -315,6 +360,24 @@ func init() {
 			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",

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 +96,33 @@ 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
+		query := c.Request.URL.Query()
+		apiVersion := query.Get("api-version")
+		if apiVersion == "" {
+			apiVersion = c.GetString("api_version")
+		}
+		baseURL = c.GetString("base_url")
+		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 +139,44 @@ 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 +6,79 @@ 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")
 	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
@@ -82,18 +117,9 @@ 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)
 	}
 
@@ -122,43 +148,39 @@ 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

@@ -51,14 +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"
@@ -147,7 +144,9 @@ 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"
@@ -233,7 +232,7 @@ 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)
@@ -367,6 +366,8 @@ 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)
 		}
@@ -410,37 +411,36 @@ 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))
-				quota = int(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))
+			if ratio != 0 && quota <= 0 {
-				if ratio != 0 && quota <= 0 {
+				quota = 1
-					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 {
@@ -454,7 +454,7 @@ 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
@@ -179,10 +182,37 @@ 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))
+	}
+}

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

@@ -13,10 +13,49 @@ 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
@@ -25,24 +64,37 @@ 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 {
@@ -78,16 +130,30 @@ 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"`
+	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"`
@@ -184,14 +250,22 @@ 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)

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"
 				}

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

@@ -30,6 +30,7 @@ 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/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'];