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

2023-07-30 00:06:16 +08:00 · 2023-07-30 00:06:16 +08:00 · 8db2c0173b
commit 8db2c0173b
parent 101c3d83cd ec88c0c240
20 changed files with 894 additions and 110 deletions
--- a/README.en.md
+++ b/README.en.md
@ -57,15 +57,13 @@ _✨ Access all LLM through the standard OpenAI API format, easy to deploy & use
 > **Note**: The latest image pulled from Docker may be an `alpha` release. Specify the version manually if you require stability.

 ## Features
-1. Supports multiple API access channels:
-    + [x] Official OpenAI channel (support proxy configuration)
-    + [x] **Azure OpenAI API**
-    + [x] [API Distribute](https://api.gptjk.top/register?aff=QGxj)
-    + [x] [OpenAI-SB](https://openai-sb.com)
-    + [x] [API2D](https://api2d.com/r/197971)
-    + [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf)
-    + [x] [AI Proxy](https://aiproxy.io/?i=OneAPI) (invitation code: `OneAPI`)
-    + [x] Custom channel: Various third-party proxy services not included in the list
+1. Support for multiple large models:
+   + [x] [OpenAI ChatGPT Series Models](https://platform.openai.com/docs/guides/gpt/chat-completions-api) (Supports [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference))
+   + [x] [Anthropic Claude Series Models](https://anthropic.com)
+   + [x] [Google PaLM2 Series Models](https://developers.generativeai.google)
+   + [x] [Baidu Wenxin Yiyuan Series Models](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+   + [x] [Alibaba Tongyi Qianwen Series Models](https://help.aliyun.com/document_detail/2400395.html)
+   + [x] [Zhipu ChatGLM Series Models](https://bigmodel.cn)
 2. Supports access to multiple channels through **load balancing**.
 3. Supports **stream mode** that enables typewriter-like effect through stream transmission.
 4. Supports **multi-machine deployment**. [See here](#multi-machine-deployment) for more details.
--- a/README.md
+++ b/README.md
@ -63,9 +63,10 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
   + [x] [Anthropic Claude 系列模型](https://anthropic.com)
   + [x] [Google PaLM2 系列模型](https://developers.generativeai.google)
   + [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+   + [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
+   + [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
   + [x] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
 2. 支持配置镜像以及众多第三方代理服务：
-   + [x] [API Distribute](https://api.gptjk.top/register?aff=QGxj)
   + [x] [OpenAI-SB](https://openai-sb.com)
   + [x] [API2D](https://api2d.com/r/197971)
   + [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf)
--- a/common/constants.go
+++ b/common/constants.go
@ -175,6 +175,8 @@ const (
 	ChannelTypeAnthropic = 14
 	ChannelTypeBaidu     = 15
 	ChannelTypeZhipu     = 16
+	ChannelTypeAli       = 17
+	ChannelTypeXunfei    = 18
 )

 var ChannelBaseURLs = []string{
@ -195,4 +197,6 @@ var ChannelBaseURLs = []string{
 	"https://api.anthropic.com",      // 14
 	"https://aip.baidubce.com",       // 15
 	"https://open.bigmodel.cn",       // 16
+	"https://dashscope.aliyuncs.com", // 17
+	"",                               // 18
 }
--- a/common/model-ratio.go
+++ b/common/model-ratio.go
@ -42,10 +42,14 @@ var ModelRatio = map[string]float64{
 	"claude-2":                30,
 	"ERNIE-Bot":               0.8572, // ￥0.012 / 1k tokens
 	"ERNIE-Bot-turbo":         0.5715, // ￥0.008 / 1k tokens
+	"Embedding-V1":            0.1429, // ￥0.002 / 1k tokens
 	"PaLM-2":                  1,
 	"chatglm_pro":             0.7143, // ￥0.01 / 1k tokens
 	"chatglm_std":             0.3572, // ￥0.005 / 1k tokens
 	"chatglm_lite":            0.1429, // ￥0.002 / 1k tokens
+	"qwen-v1":                 0.8572, // TBD: https://help.aliyun.com/document_detail/2399482.html?spm=a2c4g.2399482.0.0.1ad347feilAgag
+	"qwen-plus-v1":            0.5715, // Same as above
+	"SparkDesk":               0.8572, // TBD
 }

 func ModelRatio2JSONString() string {
--- a/controller/channel-test.go
+++ b/controller/channel-test.go
@ -26,6 +26,8 @@ func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIErr
 	case common.ChannelTypeBaidu:
 		fallthrough
 	case common.ChannelTypeZhipu:
+		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"
--- a/controller/model.go
+++ b/controller/model.go
@ -288,6 +288,15 @@ func init() {
 			Root:       "ERNIE-Bot-turbo",
 			Parent:     nil,
 		},
+		{
+			Id:         "Embedding-V1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "baidu",
+			Permission: permission,
+			Root:       "Embedding-V1",
+			Parent:     nil,
+		},
 		{
 			Id:         "PaLM-2",
 			Object:     "model",
@ -324,6 +333,33 @@ func init() {
 			Root:       "chatglm_lite",
 			Parent:     nil,
 		},
+		{
+			Id:         "qwen-v1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "ali",
+			Permission: permission,
+			Root:       "qwen-v1",
+			Parent:     nil,
+		},
+		{
+			Id:         "qwen-plus-v1",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "ali",
+			Permission: permission,
+			Root:       "qwen-plus-v1",
+			Parent:     nil,
+		},
+		{
+			Id:         "SparkDesk",
+			Object:     "model",
+			Created:    1677649963,
+			OwnedBy:    "xunfei",
+			Permission: permission,
+			Root:       "SparkDesk",
+			Parent:     nil,
+		},
 	}
 	openAIModelsMap = make(map[string]OpenAIModels)
 	for _, model := range openAIModels {
--- a/controller/relay-ali.go
+++ b/controller/relay-ali.go
@ -0,0 +1,240 @@
+package controller
+
+import (
+	"bufio"
+	"encoding/json"
+	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
+	"strings"
+)
+
+// https://help.aliyun.com/document_detail/613695.html?spm=a2c4g.2399480.0.0.1adb778fAdzP9w#341800c0f8w0r
+
+type AliMessage struct {
+	User string `json:"user"`
+	Bot  string `json:"bot"`
+}
+
+type AliInput struct {
+	Prompt  string       `json:"prompt"`
+	History []AliMessage `json:"history"`
+}
+
+type AliParameters struct {
+	TopP         float64 `json:"top_p,omitempty"`
+	TopK         int     `json:"top_k,omitempty"`
+	Seed         uint64  `json:"seed,omitempty"`
+	EnableSearch bool    `json:"enable_search,omitempty"`
+}
+
+type AliChatRequest struct {
+	Model      string        `json:"model"`
+	Input      AliInput      `json:"input"`
+	Parameters AliParameters `json:"parameters,omitempty"`
+}
+
+type AliError struct {
+	Code      string `json:"code"`
+	Message   string `json:"message"`
+	RequestId string `json:"request_id"`
+}
+
+type AliUsage struct {
+	InputTokens  int `json:"input_tokens"`
+	OutputTokens int `json:"output_tokens"`
+}
+
+type AliOutput struct {
+	Text         string `json:"text"`
+	FinishReason string `json:"finish_reason"`
+}
+
+type AliChatResponse struct {
+	Output AliOutput `json:"output"`
+	Usage  AliUsage  `json:"usage"`
+	AliError
+}
+
+func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
+	messages := make([]AliMessage, 0, len(request.Messages))
+	prompt := ""
+	for i := 0; i < len(request.Messages); i++ {
+		message := request.Messages[i]
+		if message.Role == "system" {
+			messages = append(messages, AliMessage{
+				User: message.Content,
+				Bot:  "Okay",
+			})
+			continue
+		} else {
+			if i == len(request.Messages)-1 {
+				prompt = message.Content
+				break
+			}
+			messages = append(messages, AliMessage{
+				User: message.Content,
+				Bot:  request.Messages[i+1].Content,
+			})
+			i++
+		}
+	}
+	return &AliChatRequest{
+		Model: request.Model,
+		Input: AliInput{
+			Prompt:  prompt,
+			History: messages,
+		},
+		//Parameters: AliParameters{  // ChatGPT's parameters are not compatible with Ali's
+		//	TopP: request.TopP,
+		//	TopK: 50,
+		//	//Seed:         0,
+		//	//EnableSearch: false,
+		//},
+	}
+}
+
+func responseAli2OpenAI(response *AliChatResponse) *OpenAITextResponse {
+	choice := OpenAITextResponseChoice{
+		Index: 0,
+		Message: Message{
+			Role:    "assistant",
+			Content: response.Output.Text,
+		},
+		FinishReason: response.Output.FinishReason,
+	}
+	fullTextResponse := OpenAITextResponse{
+		Id:      response.RequestId,
+		Object:  "chat.completion",
+		Created: common.GetTimestamp(),
+		Choices: []OpenAITextResponseChoice{choice},
+		Usage: Usage{
+			PromptTokens:     response.Usage.InputTokens,
+			CompletionTokens: response.Usage.OutputTokens,
+			TotalTokens:      response.Usage.InputTokens + response.Usage.OutputTokens,
+		},
+	}
+	return &fullTextResponse
+}
+
+func streamResponseAli2OpenAI(aliResponse *AliChatResponse) *ChatCompletionsStreamResponse {
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = aliResponse.Output.Text
+	choice.FinishReason = aliResponse.Output.FinishReason
+	response := ChatCompletionsStreamResponse{
+		Id:      aliResponse.RequestId,
+		Object:  "chat.completion.chunk",
+		Created: common.GetTimestamp(),
+		Model:   "ernie-bot",
+		Choices: []ChatCompletionsStreamResponseChoice{choice},
+	}
+	return &response
+}
+
+func aliStreamHandler(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
+	}()
+	c.Writer.Header().Set("Content-Type", "text/event-stream")
+	c.Writer.Header().Set("Cache-Control", "no-cache")
+	c.Writer.Header().Set("Connection", "keep-alive")
+	c.Writer.Header().Set("Transfer-Encoding", "chunked")
+	c.Writer.Header().Set("X-Accel-Buffering", "no")
+	lastResponseText := ""
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			var aliResponse AliChatResponse
+			err := json.Unmarshal([]byte(data), &aliResponse)
+			if err != nil {
+				common.SysError("error unmarshalling stream response: " + err.Error())
+				return true
+			}
+			usage.PromptTokens += aliResponse.Usage.InputTokens
+			usage.CompletionTokens += aliResponse.Usage.OutputTokens
+			usage.TotalTokens += aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
+			response := streamResponseAli2OpenAI(&aliResponse)
+			response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
+			lastResponseText = aliResponse.Output.Text
+			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:
+			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 aliHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var aliResponse AliChatResponse
+	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, &aliResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_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 := responseAli2OpenAI(&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
+}
--- a/controller/relay-baidu.go
+++ b/controller/relay-baidu.go
@ -54,6 +54,25 @@ type BaiduChatStreamResponse struct {
 	IsEnd      bool `json:"is_end"`
 }

+type BaiduEmbeddingRequest struct {
+	Input []string `json:"input"`
+}
+
+type BaiduEmbeddingData struct {
+	Object    string    `json:"object"`
+	Embedding []float64 `json:"embedding"`
+	Index     int       `json:"index"`
+}
+
+type BaiduEmbeddingResponse struct {
+	Id      string               `json:"id"`
+	Object  string               `json:"object"`
+	Created int64                `json:"created"`
+	Data    []BaiduEmbeddingData `json:"data"`
+	Usage   Usage                `json:"usage"`
+	BaiduError
+}
+
 func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest {
 	messages := make([]BaiduMessage, 0, len(request.Messages))
 	for _, message := range request.Messages {
@ -112,6 +131,36 @@ func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCom
 	return &response
 }

+func embeddingRequestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduEmbeddingRequest {
+	baiduEmbeddingRequest := BaiduEmbeddingRequest{
+		Input: nil,
+	}
+	switch request.Input.(type) {
+	case string:
+		baiduEmbeddingRequest.Input = []string{request.Input.(string)}
+	case []string:
+		baiduEmbeddingRequest.Input = request.Input.([]string)
+	}
+	return &baiduEmbeddingRequest
+}
+
+func embeddingResponseBaidu2OpenAI(response *BaiduEmbeddingResponse) *OpenAIEmbeddingResponse {
+	openAIEmbeddingResponse := OpenAIEmbeddingResponse{
+		Object: "list",
+		Data:   make([]OpenAIEmbeddingResponseItem, 0, len(response.Data)),
+		Model:  "baidu-embedding",
+		Usage:  response.Usage,
+	}
+	for _, item := range response.Data {
+		openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, OpenAIEmbeddingResponseItem{
+			Object:    item.Object,
+			Index:     item.Index,
+			Embedding: item.Embedding,
+		})
+	}
+	return &openAIEmbeddingResponse
+}
+
 func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
 	var usage Usage
 	scanner := bufio.NewScanner(resp.Body)
@ -212,3 +261,39 @@ func baiduHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCo
 	_, err = c.Writer.Write(jsonResponse)
 	return nil, &fullTextResponse.Usage
 }
+
+func baiduEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var baiduResponse BaiduEmbeddingResponse
+	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, &baiduResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if baiduResponse.ErrorMsg != "" {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: baiduResponse.ErrorMsg,
+				Type:    "baidu_error",
+				Param:   "",
+				Code:    baiduResponse.ErrorCode,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := embeddingResponseBaidu2OpenAI(&baiduResponse)
+	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-text.go
+++ b/controller/relay-text.go
@ -20,6 +20,8 @@ const (
 	APITypePaLM
 	APITypeBaidu
 	APITypeZhipu
+	APITypeAli
+	APITypeXunfei
 )

 var httpClient *http.Client
@ -73,7 +75,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 	// map model name
 	modelMapping := c.GetString("model_mapping")
 	isModelMapped := false
-	if modelMapping != "" {
+	if modelMapping != "" && modelMapping != "{}" {
 		modelMap := make(map[string]string)
 		err := json.Unmarshal([]byte(modelMapping), &modelMap)
 		if err != nil {
@ -94,6 +96,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		apiType = APITypePaLM
 	case common.ChannelTypeZhipu:
 		apiType = APITypeZhipu
+	case common.ChannelTypeAli:
+		apiType = APITypeAli
+	case common.ChannelTypeXunfei:
+		apiType = APITypeXunfei
 	}
 	baseURL := common.ChannelBaseURLs[channelType]
 	requestURL := c.Request.URL.String()
@ -135,6 +141,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant"
 		case "BLOOMZ-7B":
 			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/bloomz_7b1"
+		case "Embedding-V1":
+			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/embedding-v1"
 		}
 		apiKey := c.Request.Header.Get("Authorization")
 		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
@ -153,6 +161,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			method = "sse-invoke"
 		}
 		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"
 	}
 	var promptTokens int
 	var completionTokens int
@ -206,12 +216,20 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
 	case APITypeBaidu:
+		var jsonData []byte
+		var err error
+		switch relayMode {
+		case RelayModeEmbeddings:
+			baiduEmbeddingRequest := embeddingRequestOpenAI2Baidu(textRequest)
+			jsonData, err = json.Marshal(baiduEmbeddingRequest)
+		default:
 			baiduRequest := requestOpenAI2Baidu(textRequest)
-		jsonStr, err := json.Marshal(baiduRequest)
+			jsonData, err = json.Marshal(baiduRequest)
+		}
 		if err != nil {
 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
-		requestBody = bytes.NewBuffer(jsonStr)
+		requestBody = bytes.NewBuffer(jsonData)
 	case APITypePaLM:
 		palmRequest := requestOpenAI2PaLM(textRequest)
 		jsonStr, err := json.Marshal(palmRequest)
@ -226,8 +244,21 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
 		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeAli:
+		aliRequest := requestOpenAI2Ali(textRequest)
+		jsonStr, err := json.Marshal(aliRequest)
+		if err != nil {
+			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
 		}
-	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
+		requestBody = bytes.NewBuffer(jsonStr)
+	}
+
+	var req *http.Request
+	var resp *http.Response
+	isStream := textRequest.Stream
+
+	if apiType != APITypeXunfei { // cause xunfei use websocket
+		req, err = http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
 		if err != nil {
 			return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
 		}
@ -250,11 +281,16 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		case APITypeZhipu:
 			token := getZhipuToken(apiKey)
 			req.Header.Set("Authorization", token)
+		case APITypeAli:
+			req.Header.Set("Authorization", "Bearer "+apiKey)
+			if textRequest.Stream {
+				req.Header.Set("X-DashScope-SSE", "enable")
+			}
 		}
 		req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
 		req.Header.Set("Accept", c.Request.Header.Get("Accept"))
 		//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
-	resp, err := httpClient.Do(req)
+		resp, err = httpClient.Do(req)
 		if err != nil {
 			return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
 		}
@ -266,12 +302,12 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		if err != nil {
 			return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 		}
+		isStream = strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
+	}
 	if resp.StatusCode != http.StatusOK {
 		return errorWrapper(nil, "bad_status_code", resp.StatusCode)
 	}
 	var textResponse TextResponse
-	isStream := strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
-	var streamResponseText string

 	defer func() {
 		if consumeQuota {
@ -283,16 +319,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if strings.HasPrefix(textRequest.Model, "gpt-4") {
 				completionRatio = 2
 			}
-			if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu {
-				completionTokens = countTokenText(streamResponseText, textRequest.Model)
-			} else {
+
 			promptTokens = textResponse.Usage.PromptTokens
 			completionTokens = textResponse.Usage.CompletionTokens
-				if apiType == APITypeZhipu {
-					// zhipu's API does not return prompt tokens & completion tokens
-					promptTokens = textResponse.Usage.TotalTokens
-				}
-			}
+
 			quota = promptTokens + int(float64(completionTokens)*completionRatio)
 			quota = int(float64(quota) * ratio)
 			if ratio != 0 && quota <= 0 {
@ -330,7 +360,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if err != nil {
 				return err
 			}
-			streamResponseText = responseText
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
 			err, usage := openaiHandler(c, resp, consumeQuota)
@ -348,7 +379,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if err != nil {
 				return err
 			}
-			streamResponseText = responseText
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
 			err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
@ -371,7 +403,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			}
 			return nil
 		} else {
-			err, usage := baiduHandler(c, resp)
+			var err *OpenAIErrorWithStatusCode
+			var usage *Usage
+			switch relayMode {
+			case RelayModeEmbeddings:
+				err, usage = baiduEmbeddingHandler(c, resp)
+			default:
+				err, usage = baiduHandler(c, resp)
+			}
 			if err != nil {
 				return err
 			}
@ -386,7 +425,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if err != nil {
 				return err
 			}
-			streamResponseText = responseText
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
 			err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
@ -407,6 +447,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if usage != nil {
 				textResponse.Usage = *usage
 			}
+			// zhipu's API does not return prompt tokens & completion tokens
+			textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
 			return nil
 		} else {
 			err, usage := zhipuHandler(c, resp)
@ -416,8 +458,49 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			if usage != nil {
 				textResponse.Usage = *usage
 			}
+			// zhipu's API does not return prompt tokens & completion tokens
+			textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
 			return nil
 		}
+	case APITypeAli:
+		if isStream {
+			err, usage := aliStreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		} else {
+			err, usage := aliHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeXunfei:
+		if isStream {
+			auth := c.Request.Header.Get("Authorization")
+			auth = strings.TrimPrefix(auth, "Bearer ")
+			splits := strings.Split(auth, "|")
+			if len(splits) != 3 {
+				return errorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest)
+			}
+			err, usage := xunfeiStreamHandler(c, textRequest, splits[0], splits[1], splits[2])
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		} else {
+			return errorWrapper(errors.New("xunfei api does not support non-stream mode"), "invalid_api_type", http.StatusBadRequest)
+		}
 	default:
 		return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
 	}
--- a/controller/relay-xunfei.go
+++ b/controller/relay-xunfei.go
@ -0,0 +1,278 @@
+package controller
+
+import (
+	"crypto/hmac"
+	"crypto/sha256"
+	"encoding/base64"
+	"encoding/json"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"github.com/gorilla/websocket"
+	"io"
+	"net/http"
+	"net/url"
+	"one-api/common"
+	"strings"
+	"time"
+)
+
+// https://console.xfyun.cn/services/cbm
+// https://www.xfyun.cn/doc/spark/Web.html
+
+type XunfeiMessage struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type XunfeiChatRequest struct {
+	Header struct {
+		AppId string `json:"app_id"`
+	} `json:"header"`
+	Parameter struct {
+		Chat struct {
+			Domain      string  `json:"domain,omitempty"`
+			Temperature float64 `json:"temperature,omitempty"`
+			TopK        int     `json:"top_k,omitempty"`
+			MaxTokens   int     `json:"max_tokens,omitempty"`
+			Auditing    bool    `json:"auditing,omitempty"`
+		} `json:"chat"`
+	} `json:"parameter"`
+	Payload struct {
+		Message struct {
+			Text []XunfeiMessage `json:"text"`
+		} `json:"message"`
+	} `json:"payload"`
+}
+
+type XunfeiChatResponseTextItem struct {
+	Content string `json:"content"`
+	Role    string `json:"role"`
+	Index   int    `json:"index"`
+}
+
+type XunfeiChatResponse struct {
+	Header struct {
+		Code    int    `json:"code"`
+		Message string `json:"message"`
+		Sid     string `json:"sid"`
+		Status  int    `json:"status"`
+	} `json:"header"`
+	Payload struct {
+		Choices struct {
+			Status int                          `json:"status"`
+			Seq    int                          `json:"seq"`
+			Text   []XunfeiChatResponseTextItem `json:"text"`
+		} `json:"choices"`
+	} `json:"payload"`
+	Usage struct {
+		//Text struct {
+		//	QuestionTokens   string `json:"question_tokens"`
+		//	PromptTokens     string `json:"prompt_tokens"`
+		//	CompletionTokens string `json:"completion_tokens"`
+		//	TotalTokens      string `json:"total_tokens"`
+		//} `json:"text"`
+		Text Usage `json:"text"`
+	} `json:"usage"`
+}
+
+func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string) *XunfeiChatRequest {
+	messages := make([]XunfeiMessage, 0, len(request.Messages))
+	for _, message := range request.Messages {
+		if message.Role == "system" {
+			messages = append(messages, XunfeiMessage{
+				Role:    "user",
+				Content: message.Content,
+			})
+			messages = append(messages, XunfeiMessage{
+				Role:    "assistant",
+				Content: "Okay",
+			})
+		} else {
+			messages = append(messages, XunfeiMessage{
+				Role:    message.Role,
+				Content: message.Content,
+			})
+		}
+	}
+	xunfeiRequest := XunfeiChatRequest{}
+	xunfeiRequest.Header.AppId = xunfeiAppId
+	xunfeiRequest.Parameter.Chat.Domain = "general"
+	xunfeiRequest.Parameter.Chat.Temperature = request.Temperature
+	xunfeiRequest.Parameter.Chat.TopK = request.N
+	xunfeiRequest.Parameter.Chat.MaxTokens = request.MaxTokens
+	xunfeiRequest.Payload.Message.Text = messages
+	return &xunfeiRequest
+}
+
+func responseXunfei2OpenAI(response *XunfeiChatResponse) *OpenAITextResponse {
+	if len(response.Payload.Choices.Text) == 0 {
+		response.Payload.Choices.Text = []XunfeiChatResponseTextItem{
+			{
+				Content: "",
+			},
+		}
+	}
+	choice := OpenAITextResponseChoice{
+		Index: 0,
+		Message: Message{
+			Role:    "assistant",
+			Content: response.Payload.Choices.Text[0].Content,
+		},
+	}
+	fullTextResponse := OpenAITextResponse{
+		Object:  "chat.completion",
+		Created: common.GetTimestamp(),
+		Choices: []OpenAITextResponseChoice{choice},
+		Usage:   response.Usage.Text,
+	}
+	return &fullTextResponse
+}
+
+func streamResponseXunfei2OpenAI(xunfeiResponse *XunfeiChatResponse) *ChatCompletionsStreamResponse {
+	if len(xunfeiResponse.Payload.Choices.Text) == 0 {
+		xunfeiResponse.Payload.Choices.Text = []XunfeiChatResponseTextItem{
+			{
+				Content: "",
+			},
+		}
+	}
+	var choice ChatCompletionsStreamResponseChoice
+	choice.Delta.Content = xunfeiResponse.Payload.Choices.Text[0].Content
+	response := ChatCompletionsStreamResponse{
+		Object:  "chat.completion.chunk",
+		Created: common.GetTimestamp(),
+		Model:   "SparkDesk",
+		Choices: []ChatCompletionsStreamResponseChoice{choice},
+	}
+	return &response
+}
+
+func buildXunfeiAuthUrl(hostUrl string, apiKey, apiSecret string) string {
+	HmacWithShaToBase64 := func(algorithm, data, key string) string {
+		mac := hmac.New(sha256.New, []byte(key))
+		mac.Write([]byte(data))
+		encodeData := mac.Sum(nil)
+		return base64.StdEncoding.EncodeToString(encodeData)
+	}
+	ul, err := url.Parse(hostUrl)
+	if err != nil {
+		fmt.Println(err)
+	}
+	date := time.Now().UTC().Format(time.RFC1123)
+	signString := []string{"host: " + ul.Host, "date: " + date, "GET " + ul.Path + " HTTP/1.1"}
+	sign := strings.Join(signString, "\n")
+	sha := HmacWithShaToBase64("hmac-sha256", sign, apiSecret)
+	authUrl := fmt.Sprintf("hmac username=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"", apiKey,
+		"hmac-sha256", "host date request-line", sha)
+	authorization := base64.StdEncoding.EncodeToString([]byte(authUrl))
+	v := url.Values{}
+	v.Add("host", ul.Host)
+	v.Add("date", date)
+	v.Add("authorization", authorization)
+	callUrl := hostUrl + "?" + v.Encode()
+	return callUrl
+}
+
+func xunfeiStreamHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*OpenAIErrorWithStatusCode, *Usage) {
+	var usage Usage
+	d := websocket.Dialer{
+		HandshakeTimeout: 5 * time.Second,
+	}
+	hostUrl := "wss://aichat.xf-yun.com/v1/chat"
+	conn, resp, err := d.Dial(buildXunfeiAuthUrl(hostUrl, apiKey, apiSecret), nil)
+	if err != nil || resp.StatusCode != 101 {
+		return errorWrapper(err, "dial_failed", http.StatusInternalServerError), nil
+	}
+	data := requestOpenAI2Xunfei(textRequest, appId)
+	err = conn.WriteJSON(data)
+	if err != nil {
+		return errorWrapper(err, "write_json_failed", http.StatusInternalServerError), nil
+	}
+	dataChan := make(chan XunfeiChatResponse)
+	stopChan := make(chan bool)
+	go func() {
+		for {
+			_, msg, err := conn.ReadMessage()
+			if err != nil {
+				common.SysError("error reading stream response: " + err.Error())
+				break
+			}
+			var response XunfeiChatResponse
+			err = json.Unmarshal(msg, &response)
+			if err != nil {
+				common.SysError("error unmarshalling stream response: " + err.Error())
+				break
+			}
+			dataChan <- response
+			if response.Payload.Choices.Status == 2 {
+				err := conn.Close()
+				if err != nil {
+					common.SysError("error closing websocket connection: " + err.Error())
+				}
+				break
+			}
+		}
+		stopChan <- true
+	}()
+	c.Writer.Header().Set("Content-Type", "text/event-stream")
+	c.Writer.Header().Set("Cache-Control", "no-cache")
+	c.Writer.Header().Set("Connection", "keep-alive")
+	c.Writer.Header().Set("Transfer-Encoding", "chunked")
+	c.Writer.Header().Set("X-Accel-Buffering", "no")
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case xunfeiResponse := <-dataChan:
+			usage.PromptTokens += xunfeiResponse.Usage.Text.PromptTokens
+			usage.CompletionTokens += xunfeiResponse.Usage.Text.CompletionTokens
+			usage.TotalTokens += xunfeiResponse.Usage.Text.TotalTokens
+			response := streamResponseXunfei2OpenAI(&xunfeiResponse)
+			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:
+			c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
+			return false
+		}
+	})
+	return nil, &usage
+}
+
+func xunfeiHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
+	var xunfeiResponse XunfeiChatResponse
+	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, &xunfeiResponse)
+	if err != nil {
+		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if xunfeiResponse.Header.Code != 0 {
+		return &OpenAIErrorWithStatusCode{
+			OpenAIError: OpenAIError{
+				Message: xunfeiResponse.Header.Message,
+				Type:    "xunfei_error",
+				Param:   "",
+				Code:    xunfeiResponse.Header.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responseXunfei2OpenAI(&xunfeiResponse)
+	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.go
+++ b/controller/relay.go
@ -100,6 +100,19 @@ type OpenAITextResponse struct {
 	Usage   `json:"usage"`
 }

+type OpenAIEmbeddingResponseItem struct {
+	Object    string    `json:"object"`
+	Index     int       `json:"index"`
+	Embedding []float64 `json:"embedding"`
+}
+
+type OpenAIEmbeddingResponse struct {
+	Object string                        `json:"object"`
+	Data   []OpenAIEmbeddingResponseItem `json:"data"`
+	Model  string                        `json:"model"`
+	Usage  `json:"usage"`
+}
+
 type ImageResponse struct {
 	Created int `json:"created"`
 	Data    []struct {
--- a/go.mod
+++ b/go.mod
@ -13,6 +13,7 @@ require (
 	github.com/go-redis/redis/v8 v8.11.5
 	github.com/golang-jwt/jwt v3.2.2+incompatible
 	github.com/google/uuid v1.3.0
+	github.com/gorilla/websocket v1.5.0
 	github.com/pkoukk/tiktoken-go v0.1.5
 	golang.org/x/crypto v0.11.0
 	gorm.io/driver/mysql v1.5.1
--- a/go.sum
+++ b/go.sum
@ -76,6 +76,8 @@ github.com/jackc/pgx/v5 v5.3.1 h1:Fcr8QJ1ZeLi5zsPZqQeUZhNhxfkkKBOgJuYkJHoBOtU=
 github.com/jackc/pgx/v5 v5.3.1/go.mod h1:t3JDKnCBlYIc0ewLF0Q7B8MXmoIaBOZj/ic7iHozM/8=
 github.com/jackc/pgx/v5 v5.4.2 h1:u1gmGDwbdRUZiwisBm/Ky2M14uQyUP65bG8+20nnyrg=
 github.com/jackc/pgx/v5 v5.4.2/go.mod h1:q6iHT8uDNXWiFNOlRqJzBTaSH3+2xCXkokxHZC5qWFY=
+github.com/gorilla/websocket v1.5.0 h1:PPwGk2jz7EePpoHN/+ClbZu8SPxiqlu12wZP/3sWmnc=
+github.com/gorilla/websocket v1.5.0/go.mod h1:YR8l580nyteQvAITg2hZ9XVh4b55+EU/adAjf1fMHhE=
 github.com/jinzhu/inflection v1.0.0 h1:K317FqzuhWc8YvSVlFMCCUb36O/S9MCKRDI7QkRKD/E=
 github.com/jinzhu/inflection v1.0.0/go.mod h1:h+uFLlag+Qp1Va5pdKtLDYj+kHp5pxUVkryuEj+Srlc=
 github.com/jinzhu/now v1.1.5 h1:/o9tlHleP7gOFmsnYNz3RGnqzefHA47wQpKrrdTIwXQ=
--- a/i18n/en.json
+++ b/i18n/en.json
@ -527,11 +527,9 @@
  "请选择可以使用该渠道的分组": "Please select the group that can use this channel",
  "请选择该渠道所支持的模型": "Please select the models supported by this channel",
  "填入": "Fill in",
-  "此项可选，用于修改请求体中的模型名称，为一个 JSON 字符串，键为请求中模型名称，值为要替换的模型名称，例如：": "This is optional, used to modify the model name in the request body, it's a JSON string, the key is the model name in the request, and the value is the model name to be replaced, for example:",
  "允许流式请求": "Allow streaming requests",
  "允许非流式请求": "Allow non-streaming requests",
  "请输入 access token，当前版本暂不支持自动刷新，请每 30 天更新一次": "Please enter the access token, the current version does not support automatic refresh, please update it every 30 days",
-  "请输入渠道对应的鉴权密钥": "Please enter the authentication key corresponding to the channel",
  "此项可选，用于通过Mirror站来进行 API 调用，请EnterMirror站地址，格式为：https://domain.com": "This is optional, used to make API calls through the Mirror site, please enter the Mirror site address, the format is: https://domain.com",

  "新密码": "New password",
@ -571,5 +569,12 @@
  "失败重试次数": "Retry times",
  "保存": "Save",
  "输入您注册的 Discord OAuth APP 的 ID": "Enter the ID of your registered Discord OAuth APP",
-  "输入您注册的 Google OAuth APP 的 ID": "Enter the ID of your registered Google OAuth APP"
+  "输入您注册的 Google OAuth APP 的 ID": "Enter the ID of your registered Google OAuth APP",
+  "请为通道命名": "Please name the channel",
+  "此项可选，用于修改请求体中的模型名称，为一个 JSON 字符串，键为请求中模型名称，值为要替换的模型名称，例如：": "This is optional, used to modify the model name in the request body, it's a JSON string, the key is the model name in the request, and the value is the model name to be replaced, for example:",
+  "模型重定向": "Model redirection",
+  "请输入渠道对应的鉴权密钥": "Please enter the authentication key corresponding to the channel",
+  "注意，": "Note that, ",
+  "，图片演示。": "related image demo.",
+  "令牌创建成功，请在列表页面点击复制获取令牌！": "Token created successfully, please click copy on the list page to get the token!"
 }
--- a/web/src/components/ChannelsTable.js
+++ b/web/src/components/ChannelsTable.js
@ -363,9 +363,12 @@ const ChannelsTable = () => {
                  </Table.Cell>
                  <Table.Cell>
                    <Popup
-                      content={channel.balance_updated_time ? renderTimestamp(channel.balance_updated_time) : '未更新'}
-                      key={channel.id}
-                      trigger={renderBalance(channel.type, channel.balance)}
+                      trigger={<span onClick={() => {
+                        updateChannelBalance(channel.id, channel.name, idx);
+                      }} style={{ cursor: 'pointer' }}>
+                      {renderBalance(channel.type, channel.balance)}
+                    </span>}
+                      content="点击更新"
                      basic
                    />
                  </Table.Cell>
@ -380,16 +383,16 @@ const ChannelsTable = () => {
                      >
                        测试
                      </Button>
-                      <Button
-                        size={'small'}
-                        positive
-                        loading={updatingBalance}
-                        onClick={() => {
-                          updateChannelBalance(channel.id, channel.name, idx);
-                        }}
-                      >
-                        更新余额
-                      </Button>
+                      {/*<Button*/}
+                      {/*  size={'small'}*/}
+                      {/*  positive*/}
+                      {/*  loading={updatingBalance}*/}
+                      {/*  onClick={() => {*/}
+                      {/*    updateChannelBalance(channel.id, channel.name, idx);*/}
+                      {/*  }}*/}
+                      {/*>*/}
+                      {/*  更新余额*/}
+                      {/*</Button>*/}
                      <Popup
                        trigger={
                          <Button size='small' negative>
--- a/web/src/components/UsersTable.js
+++ b/web/src/components/UsersTable.js
@ -227,7 +227,7 @@ const UsersTable = () => {
                      content={user.email ? user.email : '未绑定邮箱地址'}
                      key={user.username}
                      header={user.display_name ? user.display_name : user.username}
-                      trigger={<span>{renderText(user.username, 10)}</span>}
+                      trigger={<span>{renderText(user.username, 15)}</span>}
                      hoverable
                    />
                  </Table.Cell>
--- a/web/src/constants/channel.constants.js
+++ b/web/src/constants/channel.constants.js
@ -4,6 +4,8 @@ export const CHANNEL_OPTIONS = [
  { key: 3, text: 'Azure OpenAI', value: 3, color: 'olive' },
  { key: 11, text: 'Google PaLM2', value: 11, color: 'orange' },
  { key: 15, text: '百度文心千帆', value: 15, color: 'blue' },
+  { key: 17, text: '阿里通义千问', value: 17, color: 'orange' },
+  { key: 18, text: '讯飞星火认知', value: 18, color: 'blue' },
  { key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
  { key: 8, text: '自定义渠道', value: 8, color: 'pink' },
  { key: 2, text: '代理：API2D', value: 2, color: 'blue' },
--- a/web/src/constants/toast.constants.js
+++ b/web/src/constants/toast.constants.js
@ -1,5 +1,5 @@
 export const toastConstants = {
-  SUCCESS_TIMEOUT: 500,
+  SUCCESS_TIMEOUT: 1500,
  INFO_TIMEOUT: 3000,
  ERROR_TIMEOUT: 5000,
  WARNING_TIMEOUT: 10000,
--- a/web/src/pages/Channel/EditChannel.js
+++ b/web/src/pages/Channel/EditChannel.js
@ -37,6 +37,30 @@ const EditChannel = () => {
  const [customModel, setCustomModel] = useState('');
  const handleInputChange = (e, { name, value }) => {
    setInputs((inputs) => ({ ...inputs, [name]: value }));
+    if (name === 'type' && inputs.models.length === 0) {
+      let localModels = [];
+      switch (value) {
+        case 14:
+          localModels = ['claude-instant-1', 'claude-2'];
+          break;
+        case 11:
+          localModels = ['PaLM-2'];
+          break;
+        case 15:
+          localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'Embedding-V1'];
+          break;
+        case 17:
+          localModels = ['qwen-v1', 'qwen-plus-v1'];
+          break;
+        case 16:
+          localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
+          break;
+        case 18:
+          localModels = ['SparkDesk'];
+          break;
+      }
+      setInputs((inputs) => ({ ...inputs, models: localModels }));
+    }
  };

  const loadChannel = async () => {
@ -142,7 +166,10 @@ const EditChannel = () => {
      localInputs.base_url = localInputs.base_url.slice(0, localInputs.base_url.length - 1);
    }
    if (localInputs.type === 3 && localInputs.other === '') {
-      localInputs.other = '2023-03-15-preview';
+      localInputs.other = '2023-06-01-preview';
+    }
+    if (localInputs.model_mapping === '') {
+      localInputs.model_mapping = '{}';
    }
    let res;
    localInputs.models = localInputs.models.join(',');
@ -202,7 +229,7 @@ const EditChannel = () => {
                  <Form.Input
                    label='默认 API 版本'
                    name='other'
-                    placeholder={'请输入默认 API 版本，例如：2023-03-15-preview，该配置可以被实际的请求查询参数所覆盖'}
+                    placeholder={'请输入默认 API 版本，例如：2023-06-01-preview，该配置可以被实际的请求查询参数所覆盖'}
                    onChange={handleInputChange}
                    value={inputs.other}
                    autoComplete='new-password'
@ -281,7 +308,7 @@ const EditChannel = () => {
            <Input
              action={
                <Button type={'button'} onClick={() => {
-                  if (customModel.trim() === "") return;
+                  if (customModel.trim() === '') return;
                  if (inputs.models.includes(customModel)) return;
                  let localModels = [...inputs.models];
                  localModels.push(customModel);
@ -289,7 +316,7 @@ const EditChannel = () => {
                  localModelOptions.push({
                    key: customModel,
                    text: customModel,
-                    value: customModel,
+                    value: customModel
                  });
                  setModelOptions(modelOptions => {
                    return [...modelOptions, ...localModelOptions];
@ -307,7 +334,7 @@ const EditChannel = () => {
          </div>
          <Form.Field>
            <Form.TextArea
-              label='模型映射'
+              label='模型重定向'
              placeholder={`此项可选，用于修改请求体中的模型名称，为一个 JSON 字符串，键为请求中模型名称，值为要替换的模型名称，例如：\n${JSON.stringify(MODEL_MAPPING_EXAMPLE, null, 2)}`}
              name='model_mapping'
              onChange={handleInputChange}
@ -353,7 +380,7 @@ const EditChannel = () => {
                label='密钥'
                name='key'
                required
-                placeholder={inputs.type === 15 ? "请输入 access token，当前版本暂不支持自动刷新，请每 30 天更新一次" : '请输入渠道对应的鉴权密钥'}
+                placeholder={inputs.type === 15 ? '请输入 access token，当前版本暂不支持自动刷新，请每 30 天更新一次' : (inputs.type === 18 ? '按照如下格式输入：APPID|APISecret|APIKey' : '请输入渠道对应的鉴权密钥')}
                onChange={handleInputChange}
                value={inputs.key}
                autoComplete='new-password'
@ -384,7 +411,7 @@ const EditChannel = () => {
              </Form.Field>
            )
          }
-          <Button type={isEdit ? "button" : "submit"} positive onClick={submit}>提交</Button>
+          <Button type={isEdit ? 'button' : 'submit'} positive onClick={submit}>提交</Button>
        </Form>
      </Segment>
    </>
--- a/web/src/pages/Token/EditToken.js
+++ b/web/src/pages/Token/EditToken.js
@ -83,7 +83,7 @@ const EditToken = () => {
      if (isEdit) {
        showSuccess('令牌更新成功！');
      } else {
-        showSuccess('令牌创建成功！');
+        showSuccess('令牌创建成功，请在列表页面点击复制获取令牌！');
        setInputs(originInputs);
      }
    } else {