refactor: refactor relay part

relay/controller/audio.go

@@ -0,0 +1,265 @@
+package controller
+
+import (
+	"bufio"
+	"bytes"
+	"context"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"io"
+	"net/http"
+	"one-api/common"
+	"one-api/model"
+	"one-api/relay/channel/openai"
+	"one-api/relay/constant"
+	"one-api/relay/util"
+	"strings"
+)
+
+func RelayAudioHelper(c *gin.Context, relayMode int) *openai.ErrorWithStatusCode {
+	audioModel := "whisper-1"
+
+	tokenId := c.GetInt("token_id")
+	channelType := c.GetInt("channel")
+	channelId := c.GetInt("channel_id")
+	userId := c.GetInt("id")
+	group := c.GetString("group")
+	tokenName := c.GetString("token_name")
+
+	var ttsRequest openai.TextToSpeechRequest
+	if relayMode == constant.RelayModeAudioSpeech {
+		// Read JSON
+		err := common.UnmarshalBodyReusable(c, &ttsRequest)
+		// Check if JSON is valid
+		if err != nil {
+			return openai.ErrorWrapper(err, "invalid_json", http.StatusBadRequest)
+		}
+		audioModel = ttsRequest.Model
+		// Check if text is too long 4096
+		if len(ttsRequest.Input) > 4096 {
+			return openai.ErrorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
+		}
+	}
+
+	modelRatio := common.GetModelRatio(audioModel)
+	groupRatio := common.GetGroupRatio(group)
+	ratio := modelRatio * groupRatio
+	var quota int
+	var preConsumedQuota int
+	switch relayMode {
+	case constant.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 openai.ErrorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
+	}
+
+	// Check if user quota is enough
+	if userQuota-preConsumedQuota < 0 {
+		return openai.ErrorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+	}
+	err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
+	if err != nil {
+		return openai.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 openai.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 openai.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 := util.GetFullRequestURL(baseURL, requestURL, channelType)
+	if relayMode == constant.RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
+		// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
+		apiVersion := util.GetAPIVersion(c)
+		fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, audioModel, apiVersion)
+	}
+
+	requestBody := &bytes.Buffer{}
+	_, err = io.Copy(requestBody, c.Request.Body)
+	if err != nil {
+		return openai.ErrorWrapper(err, "new_request_body_failed", http.StatusInternalServerError)
+	}
+	c.Request.Body = io.NopCloser(bytes.NewBuffer(requestBody.Bytes()))
+	responseFormat := c.DefaultPostForm("response_format", "json")
+
+	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
+	if err != nil {
+		return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
+	}
+
+	if relayMode == constant.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"))
+
+	resp, err := util.HTTPClient.Do(req)
+	if err != nil {
+		return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+	}
+
+	err = req.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+	}
+	err = c.Request.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+	}
+
+	if relayMode != constant.RelayModeAudioSpeech {
+		responseBody, err := io.ReadAll(resp.Body)
+		if err != nil {
+			return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+		}
+		err = resp.Body.Close()
+		if err != nil {
+			return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+		}
+
+		var openAIErr openai.SlimTextResponse
+		if err = json.Unmarshal(responseBody, &openAIErr); err == nil {
+			if openAIErr.Error.Message != "" {
+				return openai.ErrorWrapper(fmt.Errorf("type %s, code %v, message %s", openAIErr.Error.Type, openAIErr.Error.Code, openAIErr.Error.Message), "request_error", http.StatusInternalServerError)
+			}
+		}
+
+		var text string
+		switch responseFormat {
+		case "json":
+			text, err = getTextFromJSON(responseBody)
+		case "text":
+			text, err = getTextFromText(responseBody)
+		case "srt":
+			text, err = getTextFromSRT(responseBody)
+		case "verbose_json":
+			text, err = getTextFromVerboseJSON(responseBody)
+		case "vtt":
+			text, err = getTextFromVTT(responseBody)
+		default:
+			return openai.ErrorWrapper(errors.New("unexpected_response_format"), "unexpected_response_format", http.StatusInternalServerError)
+		}
+		if err != nil {
+			return openai.ErrorWrapper(err, "get_text_from_body_err", http.StatusInternalServerError)
+		}
+		quota = openai.CountTokenText(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 util.RelayErrorHandler(resp)
+	}
+	quotaDelta := quota - preConsumedQuota
+	defer func(ctx context.Context) {
+		go util.PostConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
+	}(c.Request.Context())
+
+	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 openai.ErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+	}
+	return nil
+}
+
+func getTextFromVTT(body []byte) (string, error) {
+	return getTextFromSRT(body)
+}
+
+func getTextFromVerboseJSON(body []byte) (string, error) {
+	var whisperResponse openai.WhisperVerboseJSONResponse
+	if err := json.Unmarshal(body, &whisperResponse); err != nil {
+		return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
+	}
+	return whisperResponse.Text, nil
+}
+
+func getTextFromSRT(body []byte) (string, error) {
+	scanner := bufio.NewScanner(strings.NewReader(string(body)))
+	var builder strings.Builder
+	var textLine bool
+	for scanner.Scan() {
+		line := scanner.Text()
+		if textLine {
+			builder.WriteString(line)
+			textLine = false
+			continue
+		} else if strings.Contains(line, "-->") {
+			textLine = true
+			continue
+		}
+	}
+	if err := scanner.Err(); err != nil {
+		return "", err
+	}
+	return builder.String(), nil
+}
+
+func getTextFromText(body []byte) (string, error) {
+	return strings.TrimSuffix(string(body), "\n"), nil
+}
+
+func getTextFromJSON(body []byte) (string, error) {
+	var whisperResponse openai.WhisperJSONResponse
+	if err := json.Unmarshal(body, &whisperResponse); err != nil {
+		return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
+	}
+	return whisperResponse.Text, nil
+}

relay/controller/image.go

@@ -0,0 +1,224 @@
+package controller
+
+import (
+	"bytes"
+	"context"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"io"
+	"net/http"
+	"one-api/common"
+	"one-api/model"
+	"one-api/relay/channel/openai"
+	"one-api/relay/util"
+	"strings"
+
+	"github.com/gin-gonic/gin"
+)
+
+func isWithinRange(element string, value int) bool {
+	if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
+		return false
+	}
+	min := common.DalleGenerationImageAmounts[element][0]
+	max := common.DalleGenerationImageAmounts[element][1]
+
+	return value >= min && value <= max
+}
+
+func RelayImageHelper(c *gin.Context, relayMode int) *openai.ErrorWithStatusCode {
+	imageModel := "dall-e-2"
+	imageSize := "1024x1024"
+
+	tokenId := c.GetInt("token_id")
+	channelType := c.GetInt("channel")
+	channelId := c.GetInt("channel_id")
+	userId := c.GetInt("id")
+	group := c.GetString("group")
+
+	var imageRequest openai.ImageRequest
+	err := common.UnmarshalBodyReusable(c, &imageRequest)
+	if err != nil {
+		return openai.ErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
+	}
+
+	if imageRequest.N == 0 {
+		imageRequest.N = 1
+	}
+
+	// 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 openai.ErrorWrapper(errors.New("size not supported for this image model"), "size_not_supported", http.StatusBadRequest)
+	}
+
+	// Prompt validation
+	if imageRequest.Prompt == "" {
+		return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
+	}
+
+	// Check prompt length
+	if len(imageRequest.Prompt) > common.DalleImagePromptLengthLimitations[imageModel] {
+		return openai.ErrorWrapper(errors.New("prompt is too long"), "prompt_too_long", http.StatusBadRequest)
+	}
+
+	// Number of generated images validation
+	if isWithinRange(imageModel, imageRequest.N) == false {
+		// channel not azure
+		if channelType != common.ChannelTypeAzure {
+			return openai.ErrorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
+		}
+	}
+
+	// map model name
+	modelMapping := c.GetString("model_mapping")
+	isModelMapped := false
+	if modelMapping != "" {
+		modelMap := make(map[string]string)
+		err := json.Unmarshal([]byte(modelMapping), &modelMap)
+		if err != nil {
+			return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
+		}
+		if modelMap[imageModel] != "" {
+			imageModel = modelMap[imageModel]
+			isModelMapped = true
+		}
+	}
+	baseURL := common.ChannelBaseURLs[channelType]
+	requestURL := c.Request.URL.String()
+	if c.GetString("base_url") != "" {
+		baseURL = c.GetString("base_url")
+	}
+	fullRequestURL := util.GetFullRequestURL(baseURL, requestURL, channelType)
+	if channelType == common.ChannelTypeAzure {
+		// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
+		apiVersion := util.GetAPIVersion(c)
+		// https://{resource_name}.openai.azure.com/openai/deployments/dall-e-3/images/generations?api-version=2023-06-01-preview
+		fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/images/generations?api-version=%s", baseURL, imageModel, apiVersion)
+	}
+
+	var requestBody io.Reader
+	if isModelMapped || channelType == common.ChannelTypeAzure { // make Azure channel request body
+		jsonStr, err := json.Marshal(imageRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	} else {
+		requestBody = c.Request.Body
+	}
+
+	modelRatio := common.GetModelRatio(imageModel)
+	groupRatio := common.GetGroupRatio(group)
+	ratio := modelRatio * groupRatio
+	userQuota, err := model.CacheGetUserQuota(userId)
+
+	quota := int(ratio*imageCostRatio*1000) * imageRequest.N
+
+	if userQuota-quota < 0 {
+		return openai.ErrorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+	}
+
+	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
+	if err != nil {
+		return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
+	}
+	token := c.Request.Header.Get("Authorization")
+	if channelType == common.ChannelTypeAzure { // Azure authentication
+		token = strings.TrimPrefix(token, "Bearer ")
+		req.Header.Set("api-key", token)
+	} else {
+		req.Header.Set("Authorization", token)
+	}
+
+	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
+	req.Header.Set("Accept", c.Request.Header.Get("Accept"))
+
+	resp, err := util.HTTPClient.Do(req)
+	if err != nil {
+		return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+	}
+
+	err = req.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+	}
+	err = c.Request.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+	}
+	var textResponse openai.ImageResponse
+
+	defer func(ctx context.Context) {
+		if resp.StatusCode != http.StatusOK {
+			return
+		}
+		err := model.PostConsumeTokenQuota(tokenId, quota)
+		if err != nil {
+			common.SysError("error consuming token remain quota: " + err.Error())
+		}
+		err = model.CacheUpdateUserQuota(userId)
+		if err != nil {
+			common.SysError("error update user quota cache: " + err.Error())
+		}
+		if quota != 0 {
+			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, imageModel, 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 openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+	}
+	err = json.Unmarshal(responseBody, &textResponse)
+	if err != nil {
+		return openai.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 openai.ErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
+	}
+	return nil
+}

relay/controller/text.go

@@ -0,0 +1,681 @@
+package controller
+
+import (
+	"bytes"
+	"context"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"io"
+	"math"
+	"net/http"
+	"one-api/common"
+	"one-api/model"
+	"one-api/relay/channel/aiproxy"
+	"one-api/relay/channel/ali"
+	"one-api/relay/channel/anthropic"
+	"one-api/relay/channel/baidu"
+	"one-api/relay/channel/google"
+	"one-api/relay/channel/openai"
+	"one-api/relay/channel/tencent"
+	"one-api/relay/channel/xunfei"
+	"one-api/relay/channel/zhipu"
+	"one-api/relay/constant"
+	"one-api/relay/util"
+	"strings"
+)
+
+const (
+	APITypeOpenAI = iota
+	APITypeClaude
+	APITypePaLM
+	APITypeBaidu
+	APITypeZhipu
+	APITypeAli
+	APITypeXunfei
+	APITypeAIProxyLibrary
+	APITypeTencent
+	APITypeGemini
+)
+
+func RelayTextHelper(c *gin.Context, relayMode int) *openai.ErrorWithStatusCode {
+	channelType := c.GetInt("channel")
+	channelId := c.GetInt("channel_id")
+	tokenId := c.GetInt("token_id")
+	userId := c.GetInt("id")
+	group := c.GetString("group")
+	var textRequest openai.GeneralOpenAIRequest
+	err := common.UnmarshalBodyReusable(c, &textRequest)
+	if err != nil {
+		return openai.ErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
+	}
+	if textRequest.MaxTokens < 0 || textRequest.MaxTokens > math.MaxInt32/2 {
+		return openai.ErrorWrapper(errors.New("max_tokens is invalid"), "invalid_max_tokens", http.StatusBadRequest)
+	}
+	if relayMode == constant.RelayModeModerations && textRequest.Model == "" {
+		textRequest.Model = "text-moderation-latest"
+	}
+	if relayMode == constant.RelayModeEmbeddings && textRequest.Model == "" {
+		textRequest.Model = c.Param("model")
+	}
+	// request validation
+	if textRequest.Model == "" {
+		return openai.ErrorWrapper(errors.New("model is required"), "required_field_missing", http.StatusBadRequest)
+	}
+	switch relayMode {
+	case constant.RelayModeCompletions:
+		if textRequest.Prompt == "" {
+			return openai.ErrorWrapper(errors.New("field prompt is required"), "required_field_missing", http.StatusBadRequest)
+		}
+	case constant.RelayModeChatCompletions:
+		if textRequest.Messages == nil || len(textRequest.Messages) == 0 {
+			return openai.ErrorWrapper(errors.New("field messages is required"), "required_field_missing", http.StatusBadRequest)
+		}
+	case constant.RelayModeEmbeddings:
+	case constant.RelayModeModerations:
+		if textRequest.Input == "" {
+			return openai.ErrorWrapper(errors.New("field input is required"), "required_field_missing", http.StatusBadRequest)
+		}
+	case constant.RelayModeEdits:
+		if textRequest.Instruction == "" {
+			return openai.ErrorWrapper(errors.New("field instruction is required"), "required_field_missing", http.StatusBadRequest)
+		}
+	}
+	// map model name
+	modelMapping := c.GetString("model_mapping")
+	isModelMapped := false
+	if modelMapping != "" && modelMapping != "{}" {
+		modelMap := make(map[string]string)
+		err := json.Unmarshal([]byte(modelMapping), &modelMap)
+		if err != nil {
+			return openai.ErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
+		}
+		if modelMap[textRequest.Model] != "" {
+			textRequest.Model = modelMap[textRequest.Model]
+			isModelMapped = true
+		}
+	}
+	apiType := APITypeOpenAI
+	switch channelType {
+	case common.ChannelTypeAnthropic:
+		apiType = APITypeClaude
+	case common.ChannelTypeBaidu:
+		apiType = APITypeBaidu
+	case common.ChannelTypePaLM:
+		apiType = APITypePaLM
+	case common.ChannelTypeZhipu:
+		apiType = APITypeZhipu
+	case common.ChannelTypeAli:
+		apiType = APITypeAli
+	case common.ChannelTypeXunfei:
+		apiType = APITypeXunfei
+	case common.ChannelTypeAIProxyLibrary:
+		apiType = APITypeAIProxyLibrary
+	case common.ChannelTypeTencent:
+		apiType = APITypeTencent
+	case common.ChannelTypeGemini:
+		apiType = APITypeGemini
+	}
+	baseURL := common.ChannelBaseURLs[channelType]
+	requestURL := c.Request.URL.String()
+	if c.GetString("base_url") != "" {
+		baseURL = c.GetString("base_url")
+	}
+	fullRequestURL := util.GetFullRequestURL(baseURL, requestURL, channelType)
+	switch apiType {
+	case APITypeOpenAI:
+		if channelType == common.ChannelTypeAzure {
+			// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api
+			apiVersion := util.GetAPIVersion(c)
+			requestURL := strings.Split(requestURL, "?")[0]
+			requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion)
+			baseURL = c.GetString("base_url")
+			task := strings.TrimPrefix(requestURL, "/v1/")
+			model_ := textRequest.Model
+			model_ = strings.Replace(model_, ".", "", -1)
+			// https://github.com/songquanpeng/one-api/issues/67
+			model_ = strings.TrimSuffix(model_, "-0301")
+			model_ = strings.TrimSuffix(model_, "-0314")
+			model_ = strings.TrimSuffix(model_, "-0613")
+
+			requestURL = fmt.Sprintf("/openai/deployments/%s/%s", model_, task)
+			fullRequestURL = util.GetFullRequestURL(baseURL, requestURL, channelType)
+		}
+	case APITypeClaude:
+		fullRequestURL = "https://api.anthropic.com/v1/complete"
+		if baseURL != "" {
+			fullRequestURL = fmt.Sprintf("%s/v1/complete", baseURL)
+		}
+	case APITypeBaidu:
+		switch textRequest.Model {
+		case "ERNIE-Bot":
+			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions"
+		case "ERNIE-Bot-turbo":
+			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant"
+		case "ERNIE-Bot-4":
+			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro"
+		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 ")
+		var err error
+		if apiKey, err = baidu.GetAccessToken(apiKey); err != nil {
+			return openai.ErrorWrapper(err, "invalid_baidu_config", http.StatusInternalServerError)
+		}
+		fullRequestURL += "?access_token=" + apiKey
+	case APITypePaLM:
+		fullRequestURL = "https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage"
+		if baseURL != "" {
+			fullRequestURL = fmt.Sprintf("%s/v1beta2/models/chat-bison-001:generateMessage", baseURL)
+		}
+	case APITypeGemini:
+		requestBaseURL := "https://generativelanguage.googleapis.com"
+		if baseURL != "" {
+			requestBaseURL = baseURL
+		}
+		version := "v1"
+		if c.GetString("api_version") != "" {
+			version = c.GetString("api_version")
+		}
+		action := "generateContent"
+		if textRequest.Stream {
+			action = "streamGenerateContent"
+		}
+		fullRequestURL = fmt.Sprintf("%s/%s/models/%s:%s", requestBaseURL, version, textRequest.Model, action)
+	case APITypeZhipu:
+		method := "invoke"
+		if textRequest.Stream {
+			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"
+		if relayMode == constant.RelayModeEmbeddings {
+			fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding"
+		}
+	case APITypeTencent:
+		fullRequestURL = "https://hunyuan.cloud.tencent.com/hyllm/v1/chat/completions"
+	case APITypeAIProxyLibrary:
+		fullRequestURL = fmt.Sprintf("%s/api/library/ask", baseURL)
+	}
+	var promptTokens int
+	var completionTokens int
+	switch relayMode {
+	case constant.RelayModeChatCompletions:
+		promptTokens = openai.CountTokenMessages(textRequest.Messages, textRequest.Model)
+	case constant.RelayModeCompletions:
+		promptTokens = openai.CountTokenInput(textRequest.Prompt, textRequest.Model)
+	case constant.RelayModeModerations:
+		promptTokens = openai.CountTokenInput(textRequest.Input, textRequest.Model)
+	}
+	preConsumedTokens := common.PreConsumedQuota
+	if textRequest.MaxTokens != 0 {
+		preConsumedTokens = promptTokens + textRequest.MaxTokens
+	}
+	modelRatio := common.GetModelRatio(textRequest.Model)
+	groupRatio := common.GetGroupRatio(group)
+	ratio := modelRatio * groupRatio
+	preConsumedQuota := int(float64(preConsumedTokens) * ratio)
+	userQuota, err := model.CacheGetUserQuota(userId)
+	if err != nil {
+		return openai.ErrorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
+	}
+	if userQuota-preConsumedQuota < 0 {
+		return openai.ErrorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
+	}
+	err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
+	if err != nil {
+		return openai.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
+		common.LogInfo(c.Request.Context(), fmt.Sprintf("user %d has enough quota %d, trusted and no need to pre-consume", userId, userQuota))
+	}
+	if preConsumedQuota > 0 {
+		err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
+		if err != nil {
+			return openai.ErrorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
+		}
+	}
+	var requestBody io.Reader
+	if isModelMapped {
+		jsonStr, err := json.Marshal(textRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	} else {
+		requestBody = c.Request.Body
+	}
+	switch apiType {
+	case APITypeClaude:
+		claudeRequest := anthropic.ConvertRequest(textRequest)
+		jsonStr, err := json.Marshal(claudeRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeBaidu:
+		var jsonData []byte
+		var err error
+		switch relayMode {
+		case constant.RelayModeEmbeddings:
+			baiduEmbeddingRequest := baidu.ConvertEmbeddingRequest(textRequest)
+			jsonData, err = json.Marshal(baiduEmbeddingRequest)
+		default:
+			baiduRequest := baidu.ConvertRequest(textRequest)
+			jsonData, err = json.Marshal(baiduRequest)
+		}
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonData)
+	case APITypePaLM:
+		palmRequest := google.ConvertPaLMRequest(textRequest)
+		jsonStr, err := json.Marshal(palmRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeGemini:
+		geminiChatRequest := google.ConvertGeminiRequest(textRequest)
+		jsonStr, err := json.Marshal(geminiChatRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeZhipu:
+		zhipuRequest := zhipu.ConvertRequest(textRequest)
+		jsonStr, err := json.Marshal(zhipuRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeAli:
+		var jsonStr []byte
+		var err error
+		switch relayMode {
+		case constant.RelayModeEmbeddings:
+			aliEmbeddingRequest := ali.ConvertEmbeddingRequest(textRequest)
+			jsonStr, err = json.Marshal(aliEmbeddingRequest)
+		default:
+			aliRequest := ali.ConvertRequest(textRequest)
+			jsonStr, err = json.Marshal(aliRequest)
+		}
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeTencent:
+		apiKey := c.Request.Header.Get("Authorization")
+		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
+		appId, secretId, secretKey, err := tencent.ParseConfig(apiKey)
+		if err != nil {
+			return openai.ErrorWrapper(err, "invalid_tencent_config", http.StatusInternalServerError)
+		}
+		tencentRequest := tencent.ConvertRequest(textRequest)
+		tencentRequest.AppId = appId
+		tencentRequest.SecretId = secretId
+		jsonStr, err := json.Marshal(tencentRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		sign := tencent.GetSign(*tencentRequest, secretKey)
+		c.Request.Header.Set("Authorization", sign)
+		requestBody = bytes.NewBuffer(jsonStr)
+	case APITypeAIProxyLibrary:
+		aiProxyLibraryRequest := aiproxy.ConvertRequest(textRequest)
+		aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
+		jsonStr, err := json.Marshal(aiProxyLibraryRequest)
+		if err != nil {
+			return openai.ErrorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
+		}
+		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 openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
+		}
+		apiKey := c.Request.Header.Get("Authorization")
+		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
+		switch apiType {
+		case APITypeOpenAI:
+			if channelType == common.ChannelTypeAzure {
+				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)
+			anthropicVersion := c.Request.Header.Get("anthropic-version")
+			if anthropicVersion == "" {
+				anthropicVersion = "2023-06-01"
+			}
+			req.Header.Set("anthropic-version", anthropicVersion)
+		case APITypeZhipu:
+			token := zhipu.GetToken(apiKey)
+			req.Header.Set("Authorization", token)
+		case APITypeAli:
+			req.Header.Set("Authorization", "Bearer "+apiKey)
+			if textRequest.Stream {
+				req.Header.Set("X-DashScope-SSE", "enable")
+			}
+			if c.GetString("plugin") != "" {
+				req.Header.Set("X-DashScope-Plugin", c.GetString("plugin"))
+			}
+		case APITypeTencent:
+			req.Header.Set("Authorization", apiKey)
+		case APITypePaLM:
+			req.Header.Set("x-goog-api-key", apiKey)
+		case APITypeGemini:
+			req.Header.Set("x-goog-api-key", apiKey)
+		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"))
+		if isStream && c.Request.Header.Get("Accept") == "" {
+			req.Header.Set("Accept", "text/event-stream")
+		}
+		//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
+		resp, err = util.HTTPClient.Do(req)
+		if err != nil {
+			return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
+		}
+		err = req.Body.Close()
+		if err != nil {
+			return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+		}
+		err = c.Request.Body.Close()
+		if err != nil {
+			return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
+		}
+		isStream = isStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
+
+		if resp.StatusCode != http.StatusOK {
+			if preConsumedQuota != 0 {
+				go func(ctx context.Context) {
+					// return pre-consumed quota
+					err := model.PostConsumeTokenQuota(tokenId, -preConsumedQuota)
+					if err != nil {
+						common.LogError(ctx, "error return pre-consumed quota: "+err.Error())
+					}
+				}(c.Request.Context())
+			}
+			return util.RelayErrorHandler(resp)
+		}
+	}
+
+	var textResponse openai.SlimTextResponse
+	tokenName := c.GetString("token_name")
+
+	defer func(ctx context.Context) {
+		// c.Writer.Flush()
+		go func() {
+			quota := 0
+			completionRatio := common.GetCompletionRatio(textRequest.Model)
+			promptTokens = textResponse.Usage.PromptTokens
+			completionTokens = textResponse.Usage.CompletionTokens
+			quota = int(math.Ceil((float64(promptTokens) + float64(completionTokens)*completionRatio) * ratio))
+			if ratio != 0 && quota <= 0 {
+				quota = 1
+			}
+			totalTokens := promptTokens + completionTokens
+			if totalTokens == 0 {
+				// in this case, must be some error happened
+				// we cannot just return, because we may have to return the pre-consumed quota
+				quota = 0
+			}
+			quotaDelta := quota - preConsumedQuota
+			err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
+			if err != nil {
+				common.LogError(ctx, "error consuming token remain quota: "+err.Error())
+			}
+			err = model.CacheUpdateUserQuota(userId)
+			if err != nil {
+				common.LogError(ctx, "error update user quota cache: "+err.Error())
+			}
+			if quota != 0 {
+				logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
+				model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
+				model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
+				model.UpdateChannelUsedQuota(channelId, quota)
+			}
+
+		}()
+	}(c.Request.Context())
+	switch apiType {
+	case APITypeOpenAI:
+		if isStream {
+			err, responseText := openai.StreamHandler(c, resp, relayMode)
+			if err != nil {
+				return err
+			}
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
+			return nil
+		} else {
+			err, usage := openai.Handler(c, resp, promptTokens, textRequest.Model)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeClaude:
+		if isStream {
+			err, responseText := anthropic.StreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
+			return nil
+		} else {
+			err, usage := anthropic.Handler(c, resp, promptTokens, textRequest.Model)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeBaidu:
+		if isStream {
+			err, usage := baidu.StreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		} else {
+			var err *openai.ErrorWithStatusCode
+			var usage *openai.Usage
+			switch relayMode {
+			case constant.RelayModeEmbeddings:
+				err, usage = baidu.EmbeddingHandler(c, resp)
+			default:
+				err, usage = baidu.Handler(c, resp)
+			}
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypePaLM:
+		if textRequest.Stream { // PaLM2 API does not support stream
+			err, responseText := google.PaLMStreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
+			return nil
+		} else {
+			err, usage := google.PaLMHandler(c, resp, promptTokens, textRequest.Model)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeGemini:
+		if textRequest.Stream {
+			err, responseText := google.StreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
+			return nil
+		} else {
+			err, usage := google.GeminiHandler(c, resp, promptTokens, textRequest.Model)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeZhipu:
+		if isStream {
+			err, usage := zhipu.StreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			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 := zhipu.Handler(c, resp)
+			if err != nil {
+				return err
+			}
+			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 := ali.StreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		} else {
+			var err *openai.ErrorWithStatusCode
+			var usage *openai.Usage
+			switch relayMode {
+			case constant.RelayModeEmbeddings:
+				err, usage = ali.EmbeddingHandler(c, resp)
+			default:
+				err, usage = ali.Handler(c, resp)
+			}
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeXunfei:
+		auth := c.Request.Header.Get("Authorization")
+		auth = strings.TrimPrefix(auth, "Bearer ")
+		splits := strings.Split(auth, "|")
+		if len(splits) != 3 {
+			return openai.ErrorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest)
+		}
+		var err *openai.ErrorWithStatusCode
+		var usage *openai.Usage
+		if isStream {
+			err, usage = xunfei.StreamHandler(c, textRequest, splits[0], splits[1], splits[2])
+		} else {
+			err, usage = xunfei.Handler(c, textRequest, splits[0], splits[1], splits[2])
+		}
+		if err != nil {
+			return err
+		}
+		if usage != nil {
+			textResponse.Usage = *usage
+		}
+		return nil
+	case APITypeAIProxyLibrary:
+		if isStream {
+			err, usage := aiproxy.StreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		} else {
+			err, usage := aiproxy.Handler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	case APITypeTencent:
+		if isStream {
+			err, responseText := tencent.StreamHandler(c, resp)
+			if err != nil {
+				return err
+			}
+			textResponse.Usage.PromptTokens = promptTokens
+			textResponse.Usage.CompletionTokens = openai.CountTokenText(responseText, textRequest.Model)
+			return nil
+		} else {
+			err, usage := tencent.Handler(c, resp)
+			if err != nil {
+				return err
+			}
+			if usage != nil {
+				textResponse.Usage = *usage
+			}
+			return nil
+		}
+	default:
+		return openai.ErrorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
+	}
+}