Merge remote-tracking branch 'origin/main'

# Conflicts: # controller/relay.go # main.go # middleware/distributor.go
2025-11-16 21:23:44 +08:00 · 2023-09-09 03:15:55 +08:00
parent 9ab4f7a271 d0a0e871e1
commit 9c08d78349
26 changed files with 1027 additions and 187 deletions
--- a/controller/channel-test.go
+++ b/controller/channel-test.go
@@ -14,7 +14,7 @@ import (
 	"time"
 )

-func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIError) {
+func testChannel(channel *model.Channel, request ChatRequest) (err error, openaiErr *OpenAIError) {
 	switch channel.Type {
 	case common.ChannelTypePaLM:
 		fallthrough
@@ -24,10 +24,19 @@ func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIErr
 		fallthrough
 	case common.ChannelTypeZhipu:
 		fallthrough
+	case common.ChannelTypeAli:
+		fallthrough
+	case common.ChannelType360:
+		fallthrough
 	case common.ChannelTypeXunfei:
 		return errors.New("该渠道类型当前版本不支持测试，请手动测试"), nil
 	case common.ChannelTypeAzure:
 		request.Model = "gpt-35-turbo"
+		defer func() {
+			if err != nil {
+				err = errors.New("请确保已在 Azure 上创建了 gpt-35-turbo 模型，并且 apiVersion 已正确填写！")
+			}
+		}()
 	default:
 		request.Model = "gpt-3.5-turbo"
 	}
--- a/controller/channel.go
+++ b/controller/channel.go
@@ -85,7 +85,7 @@ func AddChannel(c *gin.Context) {
 	}
 	channel.CreatedTime = common.GetTimestamp()
 	keys := strings.Split(channel.Key, "\n")
-	channels := make([]model.Channel, 0)
+	channels := make([]model.Channel, 0, len(keys))
 	for _, key := range keys {
 		if key == "" {
 			continue
--- a/controller/model.go
+++ b/controller/model.go
@@ -63,6 +63,15 @@ func init() {
 			Root:       "dall-e",
 			Parent:     nil,
 		},
+		{
+			Id:         "whisper-1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "openai",
+			Permission: permission,
+			Root:       "whisper-1",
+			Parent:     nil,
+		},
 		{
 			Id:         "gpt-3.5-turbo",
 			Object:     "model",
@@ -351,6 +360,15 @@ func init() {
 			Root:       "qwen-plus-v1",
 			Parent:     nil,
 		},
+		{
+			Id:         "text-embedding-v1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "ali",
+			Permission: permission,
+			Root:       "text-embedding-v1",
+			Parent:     nil,
+		},
 		{
 			Id:         "SparkDesk",
 			Object:     "model",
@@ -360,6 +378,51 @@ func init() {
 			Root:       "SparkDesk",
 			Parent:     nil,
 		},
+		{
+			Id:         "360GPT_S2_V9",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "360",
+			Permission: permission,
+			Root:       "360GPT_S2_V9",
+			Parent:     nil,
+		},
+		{
+			Id:         "embedding-bert-512-v1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "360",
+			Permission: permission,
+			Root:       "embedding-bert-512-v1",
+			Parent:     nil,
+		},
+		{
+			Id:         "embedding_s1_v1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "360",
+			Permission: permission,
+			Root:       "embedding_s1_v1",
+			Parent:     nil,
+		},
+		{
+			Id:         "semantic_similarity_s1_v1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "360",
+			Permission: permission,
+			Root:       "semantic_similarity_s1_v1",
+			Parent:     nil,
+		},
+		{
+			Id:         "360GPT_S2_V9.4",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "360",
+			Permission: permission,
+			Root:       "360GPT_S2_V9.4",
+			Parent:     nil,
+		},
 	}
 	openAIModelsMap = make(map[string]OpenAIModels)
 	for _, model := range openAIModels {
--- a/controller/relay-aiproxy.go
+++ b/controller/relay-aiproxy.go
@@ -0,0 +1,220 @@
+package controller
+
+import (
+	"bufio"
+	"encoding/json"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
+	"strconv"
+	"strings"
+)
+
+// https://docs.aiproxy.io/dev/library#使用已经定制好的知识库进行对话问答
+
+type AIProxyLibraryRequest struct {
+	Model     string `json:"model"`
+	Query     string `json:"query"`
+	LibraryId string `json:"libraryId"`
+	Stream    bool   `json:"stream"`
+}
+
+type AIProxyLibraryError struct {
+	ErrCode int    `json:"errCode"`
+	Message string `json:"message"`
+}
+
+type AIProxyLibraryDocument struct {
+	Title string `json:"title"`
+	URL   string `json:"url"`
+}
+
+type AIProxyLibraryResponse struct {
+	Success   bool                     `json:"success"`
+	Answer    string                   `json:"answer"`
+	Documents []AIProxyLibraryDocument `json:"documents"`
+	AIProxyLibraryError
+}
+
+type AIProxyLibraryStreamResponse struct {
+	Content   string                   `json:"content"`
+	Finish    bool                     `json:"finish"`
+	Model     string                   `json:"model"`
+	Documents []AIProxyLibraryDocument `json:"documents"`
+}
+
+func requestOpenAI2AIProxyLibrary(request GeneralOpenAIRequest) *AIProxyLibraryRequest {
+	query := ""
+	if len(request.Messages) != 0 {
+		query = request.Messages[len(request.Messages)-1].Content
+	}
+	return &AIProxyLibraryRequest{
+		Model:  request.Model,
+		Stream: request.Stream,
+		Query:  query,
+	}
+}
+
+func aiProxyDocuments2Markdown(documents []AIProxyLibraryDocument) string {
+	if len(documents) == 0 {
+		return ""
+	}
+	content := "\n\n参考文档：\n"
+	for i, document := range documents {
+		content += fmt.Sprintf("%d. [%s](%s)\n", i+1, document.Title, document.URL)
+	}
+	return content
+}
+
+func responseAIProxyLibrary2OpenAI(response *AIProxyLibraryResponse) *OpenAITextResponse {
+	content := response.Answer + aiProxyDocuments2Markdown(response.Documents)
+	choice := OpenAITextResponseChoice{
+		Index: 0,
+		Message: Message{
+			Role:    "assistant",
+			Content: content,
+		},
+		FinishReason: "stop",
+	}
+	fullTextResponse := OpenAITextResponse{
+		Id:      common.GetUUID(),
+		Object:  "chat.completion",
+		Created: common.GetTimestamp(),
+		Choices: []OpenAITextResponseChoice{choice},
+	}
+	return &fullTextResponse
+}
+
+func documentsAIProxyLibrary(documents []AIProxyLibraryDocument) *ChatCompletionsStreamResponse {
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = aiProxyDocuments2Markdown(documents)
+	choice.FinishReason = &stopFinishReason
+	return &ChatCompletionsStreamResponse{
+		Id:      common.GetUUID(),
+		Object:  "chat.completion.chunk",
+		Created: common.GetTimestamp(),
+		Model:   "",
+		Choices: []ChatCompletionsStreamResponseChoice{choice},
+	}
+}
+
+func streamResponseAIProxyLibrary2OpenAI(response *AIProxyLibraryStreamResponse) *ChatCompletionsStreamResponse {
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = response.Content
+	return &ChatCompletionsStreamResponse{
+		Id:      common.GetUUID(),
+		Object:  "chat.completion.chunk",
+		Created: common.GetTimestamp(),
+		Model:   response.Model,
+		Choices: []ChatCompletionsStreamResponseChoice{choice},
+	}
+}
+
+func aiProxyLibraryStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var usage Usage
+	scanner := bufio.NewScanner(resp.Body)
+	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
+		if atEOF && len(data) == 0 {
+			return 0, nil, nil
+		}
+		if i := strings.Index(string(data), "\n"); i >= 0 {
+			return i + 1, data[0:i], nil
+		}
+		if atEOF {
+			return len(data), data, nil
+		}
+		return 0, nil, nil
+	})
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		for scanner.Scan() {
+			data := scanner.Text()
+			if len(data) < 5 { // ignore blank line or wrong format
+				continue
+			}
+			if data[:5] != "data:" {
+				continue
+			}
+			data = data[5:]
+			dataChan <- data
+		}
+		stopChan <- true
+	}()
+	setEventStreamHeaders(c)
+	var documents []AIProxyLibraryDocument
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			var AIProxyLibraryResponse AIProxyLibraryStreamResponse
+			err := json.Unmarshal([]byte(data), &AIProxyLibraryResponse)
+			if err != nil {
+				common.SysError("error unmarshalling stream response: " + err.Error())
+				return true
+			}
+			if len(AIProxyLibraryResponse.Documents) != 0 {
+				documents = AIProxyLibraryResponse.Documents
+			}
+			response := streamResponseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
+			jsonResponse, err := json.Marshal(response)
+			if err != nil {
+				common.SysError("error marshalling stream response: " + err.Error())
+				return true
+			}
+			c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
+			return true
+		case <-stopChan:
+			response := documentsAIProxyLibrary(documents)
+			jsonResponse, err := json.Marshal(response)
+			if err != nil {
+				common.SysError("error marshalling stream response: " + err.Error())
+				return true
+			}
+			c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
+			c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
+			return false
+		}
+	})
+	err := resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	return nil, &usage
+}
+
+func aiProxyLibraryHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var AIProxyLibraryResponse AIProxyLibraryResponse
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != 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, &AIProxyLibraryResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if AIProxyLibraryResponse.ErrCode != 0 {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: AIProxyLibraryResponse.Message,
+				Type:    strconv.Itoa(AIProxyLibraryResponse.ErrCode),
+				Code:    AIProxyLibraryResponse.ErrCode,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
+	jsonResponse, err := json.Marshal(fullTextResponse)
+	if err != nil {
+		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	c.Writer.Header().Set("Content-Type", "application/json")
+	c.Writer.WriteHeader(resp.StatusCode)
+	_, err = c.Writer.Write(jsonResponse)
+	return nil, &fullTextResponse.Usage
+}
--- a/controller/relay-ali.go
+++ b/controller/relay-ali.go
@@ -35,6 +35,29 @@ type AliChatRequest struct {
 	Parameters AliParameters `json:"parameters,omitempty"`
 }

+type AliEmbeddingRequest struct {
+	Model string `json:"model"`
+	Input struct {
+		Texts []string `json:"texts"`
+	} `json:"input"`
+	Parameters *struct {
+		TextType string `json:"text_type,omitempty"`
+	} `json:"parameters,omitempty"`
+}
+
+type AliEmbedding struct {
+	Embedding []float64 `json:"embedding"`
+	TextIndex int       `json:"text_index"`
+}
+
+type AliEmbeddingResponse struct {
+	Output struct {
+		Embeddings []AliEmbedding `json:"embeddings"`
+	} `json:"output"`
+	Usage AliUsage `json:"usage"`
+	AliError
+}
+
 type AliError struct {
 	Code      string `json:"code"`
 	Message   string `json:"message"`
@@ -44,6 +67,7 @@ type AliError struct {
 type AliUsage struct {
 	InputTokens  int `json:"input_tokens"`
 	OutputTokens int `json:"output_tokens"`
+	TotalTokens  int `json:"total_tokens"`
 }

 type AliOutput struct {
@@ -95,6 +119,70 @@ func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
 	}
 }

+func embeddingRequestOpenAI2Ali(request GeneralOpenAIRequest) *AliEmbeddingRequest {
+	return &AliEmbeddingRequest{
+		Model: "text-embedding-v1",
+		Input: struct {
+			Texts []string `json:"texts"`
+		}{
+			Texts: request.ParseInput(),
+		},
+	}
+}
+
+func aliEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var aliResponse AliEmbeddingResponse
+	err := json.NewDecoder(resp.Body).Decode(&aliResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+
+	if aliResponse.Code != "" {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: aliResponse.Message,
+				Type:    aliResponse.Code,
+				Param:   aliResponse.RequestId,
+				Code:    aliResponse.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+
+	fullTextResponse := embeddingResponseAli2OpenAI(&aliResponse)
+	jsonResponse, err := json.Marshal(fullTextResponse)
+	if err != nil {
+		return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	c.Writer.Header().Set("Content-Type", "application/json")
+	c.Writer.WriteHeader(resp.StatusCode)
+	_, err = c.Writer.Write(jsonResponse)
+	return nil, &fullTextResponse.Usage
+}
+
+func embeddingResponseAli2OpenAI(response *AliEmbeddingResponse) *OpenAIEmbeddingResponse {
+	openAIEmbeddingResponse := OpenAIEmbeddingResponse{
+		Object: "list",
+		Data:   make([]OpenAIEmbeddingResponseItem, 0, len(response.Output.Embeddings)),
+		Model:  "text-embedding-v1",
+		Usage:  Usage{TotalTokens: response.Usage.TotalTokens},
+	}
+
+	for _, item := range response.Output.Embeddings {
+		openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, OpenAIEmbeddingResponseItem{
+			Object:    `embedding`,
+			Index:     item.TextIndex,
+			Embedding: item.Embedding,
+		})
+	}
+	return &openAIEmbeddingResponse
+}
+
 func responseAli2OpenAI(response *AliChatResponse) *OpenAITextResponse {
 	choice := OpenAITextResponseChoice{
 		Index: 0,
--- a/controller/relay-audio.go
+++ b/controller/relay-audio.go
@@ -0,0 +1,147 @@
+package controller
+
+import (
+	"bytes"
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"one-api/common"
+	"one-api/model"
+
+	"github.com/gin-gonic/gin"
+)
+
+func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
+	audioModel := "whisper-1"
+
+	tokenId := c.GetInt("token_id")
+	channelType := c.GetInt("channel")
+	userId := c.GetInt("id")
+	group := c.GetString("group")
+
+	preConsumedTokens := common.PreConsumedQuota
+	modelRatio := common.GetModelRatio(audioModel)
+	groupRatio := common.GetGroupRatio(group)
+	ratio := modelRatio * groupRatio
+	preConsumedQuota := int(float64(preConsumedTokens) * ratio)
+	userQuota, err := model.CacheGetUserQuota(userId)
+	if err != nil {
+		return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
+	}
+	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)
+		if err != nil {
+			return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
+		}
+	}
+
+	// map model name
+	modelMapping := c.GetString("model_mapping")
+	if modelMapping != "" {
+		modelMap := make(map[string]string)
+		err := json.Unmarshal([]byte(modelMapping), &modelMap)
+		if err != nil {
+			return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
+		}
+		if modelMap[audioModel] != "" {
+			audioModel = modelMap[audioModel]
+		}
+	}
+
+	baseURL := common.ChannelBaseURLs[channelType]
+	requestURL := c.Request.URL.String()
+
+	if c.GetString("base_url") != "" {
+		baseURL = c.GetString("base_url")
+	}
+
+	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
+	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"))
+	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
+	req.Header.Set("Accept", c.Request.Header.Get("Accept"))
+
+	resp, err := httpClient.Do(req)
+	if err != nil {
+		return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+	}
+
+	err = req.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+	}
+	err = c.Request.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+	}
+	var audioResponse AudioResponse
+
+	defer func() {
+		go func() {
+			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(userId, 0, 0, audioModel, tokenName, quota, logContent)
+				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
+				channelId := c.GetInt("channel_id")
+				model.UpdateChannelUsedQuota(channelId, quota)
+			}
+		}()
+	}()
+
+	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])
+	}
+	c.Writer.WriteHeader(resp.StatusCode)
+
+	_, err = io.Copy(c.Writer, resp.Body)
+	if err != nil {
+		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+	}
+	return nil
+}
--- a/controller/relay-baidu.go
+++ b/controller/relay-baidu.go
@@ -144,20 +144,9 @@ func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCom
 }

 func embeddingRequestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduEmbeddingRequest {
-	baiduEmbeddingRequest := BaiduEmbeddingRequest{
-		Input: nil,
+	return &BaiduEmbeddingRequest{
+		Input: request.ParseInput(),
 	}
-	switch request.Input.(type) {
-	case string:
-		baiduEmbeddingRequest.Input = []string{request.Input.(string)}
-	case []any:
-		for _, item := range request.Input.([]any) {
-			if str, ok := item.(string); ok {
-				baiduEmbeddingRequest.Input = append(baiduEmbeddingRequest.Input, str)
-			}
-		}
-	}
-	return &baiduEmbeddingRequest
 }

 func embeddingResponseBaidu2OpenAI(response *BaiduEmbeddingResponse) *OpenAIEmbeddingResponse {
--- a/controller/relay-text.go
+++ b/controller/relay-text.go
@@ -22,6 +22,7 @@ const (
 	APITypeZhipu
 	APITypeAli
 	APITypeXunfei
+	APITypeAIProxyLibrary
 )

 var httpClient *http.Client
@@ -104,6 +105,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		apiType = APITypeAli
 	case common.ChannelTypeXunfei:
 		apiType = APITypeXunfei
+	case common.ChannelTypeAIProxyLibrary:
+		apiType = APITypeAIProxyLibrary
 	}

 	baseURL := common.ChannelBaseURLs[channelType]
@@ -172,6 +175,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		fullRequestURL = fmt.Sprintf("https://open.bigmodel.cn/api/paas/v3/model-api/%s/%s", textRequest.Model, method)
 	case APITypeAli:
 		fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation"
+		if relayMode == RelayModeEmbeddings {
+			fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding"
+		}
+	case APITypeAIProxyLibrary:
+		fullRequestURL = fmt.Sprintf("%s/api/library/ask", baseURL)
 	}
 	var promptTokens int
 	var completionTokens int
@@ -258,8 +266,24 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeAli:
-		aliRequest := requestOpenAI2Ali(textRequest)
-		jsonStr, err := json.Marshal(aliRequest)
+		var jsonStr []byte
+		var err error
+		switch relayMode {
+		case RelayModeEmbeddings:
+			aliEmbeddingRequest := embeddingRequestOpenAI2Ali(textRequest)
+			jsonStr, err = json.Marshal(aliEmbeddingRequest)
+		default:
+			aliRequest := requestOpenAI2Ali(textRequest)
+			jsonStr, err = json.Marshal(aliRequest)
+		}
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeAIProxyLibrary:
+		aiProxyLibraryRequest := requestOpenAI2AIProxyLibrary(textRequest)
+		aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
+		jsonStr, err := json.Marshal(aiProxyLibraryRequest)
 		if err != nil {
 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
@@ -287,6 +311,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 				req.Header.Set("api-key", apiKey)
 			} else {
 				req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
+				if channelType == common.ChannelTypeOpenRouter {
+					req.Header.Set("HTTP-Referer", "https://github.com/songquanpeng/one-api")
+					req.Header.Set("X-Title", "One API")
+				}
 			}
 		case APITypeClaude:
 			req.Header.Set("x-api-key", apiKey)
@@ -303,6 +331,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if textRequest.Stream {
 				req.Header.Set("X-DashScope-SSE", "enable")
 			}
+		default:
+			req.Header.Set("Authorization", "Bearer "+apiKey)
 		}
 		req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
 		req.Header.Set("Accept", c.Request.Header.Get("Accept"))
@@ -365,7 +395,6 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 					logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
 					model.RecordConsumeLog(userId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent, tokenId)
 					model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
-
 					model.UpdateChannelUsedQuota(channelId, quota)
 				}
 			}
@@ -491,7 +520,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 			return nil
 		} else {
-			err, usage := aliHandler(c, resp)
+			var err *OpenAIErrorWithStatusCode
+			var usage *Usage
+			switch relayMode {
+			case RelayModeEmbeddings:
+				err, usage = aliEmbeddingHandler(c, resp)
+			default:
+				err, usage = aliHandler(c, resp)
+			}
 			if err != nil {
 				return err
 			}
@@ -519,6 +555,26 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		} else {
 			return errorWrapper(errors.New("xunfei api does not support non-stream mode"), "invalid_api_type", http.StatusBadRequest)
 		}
+	case APITypeAIProxyLibrary:
+		if isStream {
+			err, usage := aiProxyLibraryStreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		} else {
+			err, usage := aiProxyLibraryHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
 	default:
 		return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
 	}
--- a/controller/relay-utils.go
+++ b/controller/relay-utils.go
@@ -15,6 +15,24 @@ var stopFinishReason = "stop"

 var tokenEncoderMap = map[string]*tiktoken.Tiktoken{}

+func InitTokenEncoders() {
+	common.SysLog("initializing token encoders")
+	fallbackTokenEncoder, err := tiktoken.EncodingForModel("gpt-3.5-turbo")
+	if err != nil {
+		common.FatalLog(fmt.Sprintf("failed to get fallback token encoder: %s", err.Error()))
+	}
+	for model, _ := range common.ModelRatio {
+		tokenEncoder, err := tiktoken.EncodingForModel(model)
+		if err != nil {
+			common.SysError(fmt.Sprintf("using fallback encoder for model %s", model))
+			tokenEncoderMap[model] = fallbackTokenEncoder
+			continue
+		}
+		tokenEncoderMap[model] = tokenEncoder
+	}
+	common.SysLog("token encoders initialized")
+}
+
 func getTokenEncoder(model string) *tiktoken.Tiktoken {
 	if tokenEncoder, ok := tokenEncoderMap[model]; ok {
 		return tokenEncoder
--- a/controller/relay.go
+++ b/controller/relay.go
@@ -2,7 +2,6 @@ package controller

 import (
 	"fmt"
-	"log"
 	"net/http"
 	"one-api/common"
 	"strconv"
@@ -29,6 +28,7 @@ const (
 	RelayModeMidjourneyChange
 	RelayModeMidjourneyNotify
 	RelayModeMidjourneyTaskFetch
+	RelayModeAudio
 )

 // https://platform.openai.com/docs/api-reference/chat
@@ -45,6 +45,26 @@ type GeneralOpenAIRequest struct {
 	Input       any       `json:"input,omitempty"`
 	Instruction string    `json:"instruction,omitempty"`
 	Size        string    `json:"size,omitempty"`
+	Functions   any       `json:"functions,omitempty"`
+}
+
+func (r GeneralOpenAIRequest) ParseInput() []string {
+	if r.Input == nil {
+		return nil
+	}
+	var input []string
+	switch r.Input.(type) {
+	case string:
+		input = []string{r.Input.(string)}
+	case []any:
+		input = make([]string, 0, len(r.Input.([]any)))
+		for _, item := range r.Input.([]any) {
+			if str, ok := item.(string); ok {
+				input = append(input, str)
+			}
+		}
+	}
+	return input
 }

 type ChatRequest struct {
@@ -67,6 +87,10 @@ type ImageRequest struct {
 	Size   string `json:"size"`
 }

+type AudioResponse struct {
+	Text string `json:"text,omitempty"`
+}
+
 type Usage struct {
 	PromptTokens     int `json:"prompt_tokens"`
 	CompletionTokens int `json:"completion_tokens"`
@@ -147,23 +171,6 @@ type CompletionsStreamResponse struct {
 	} `json:"choices"`
 }

-type MidjourneyRequest struct {
-	Prompt      string   `json:"prompt"`
-	NotifyHook  string   `json:"notifyHook"`
-	Action      string   `json:"action"`
-	Index       int      `json:"index"`
-	State       string   `json:"state"`
-	TaskId      string   `json:"taskId"`
-	Base64Array []string `json:"base64Array"`
-}
-
-type MidjourneyResponse struct {
-	Code        int         `json:"code"`
-	Description string      `json:"description"`
-	Properties  interface{} `json:"properties"`
-	Result      string      `json:"result"`
-}
-
 func Relay(c *gin.Context) {
 	relayMode := RelayModeUnknown
 	if strings.HasPrefix(c.Request.URL.Path, "/v1/chat/completions") {