mirror of
https://github.com/linux-do/new-api.git
synced 2025-12-27 00:55:57 +08:00
feat: 初步重构
This commit is contained in:
1808837298@qq.com
228
relay/relay-audio.go
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228
relay/relay-audio.go
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@@ -0,0 +1,228 @@
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package relay
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import (
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"bytes"
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"github.com/gin-gonic/gin"
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"io"
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"net/http"
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"one-api/common"
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"one-api/controller"
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"one-api/dto"
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"one-api/model"
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"one-api/service"
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"strings"
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"time"
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)
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var availableVoices = []string{
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"alloy",
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"echo",
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"fable",
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"onyx",
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"nova",
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"shimmer",
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}
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func RelayAudioHelper(c *gin.Context, relayMode int) *controller.OpenAIErrorWithStatusCode {
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tokenId := c.GetInt("token_id")
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channelType := c.GetInt("channel")
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channelId := c.GetInt("channel_id")
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userId := c.GetInt("id")
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group := c.GetString("group")
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startTime := time.Now()
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var audioRequest AudioRequest
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if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
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err := common.UnmarshalBodyReusable(c, &audioRequest)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
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}
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} else {
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audioRequest = AudioRequest{
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Model: "whisper-1",
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}
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}
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//err := common.UnmarshalBodyReusable(c, &audioRequest)
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// request validation
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if audioRequest.Model == "" {
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return service.OpenAIErrorWrapper(errors.New("model is required"), "required_field_missing", http.StatusBadRequest)
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}
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if strings.HasPrefix(audioRequest.Model, "tts-1") {
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if audioRequest.Voice == "" {
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return service.OpenAIErrorWrapper(errors.New("voice is required"), "required_field_missing", http.StatusBadRequest)
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}
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if !common.StringsContains(availableVoices, audioRequest.Voice) {
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return service.OpenAIErrorWrapper(errors.New("voice must be one of "+strings.Join(availableVoices, ", ")), "invalid_field_value", http.StatusBadRequest)
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}
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}
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preConsumedTokens := common.PreConsumedQuota
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modelRatio := common.GetModelRatio(audioRequest.Model)
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groupRatio := common.GetGroupRatio(group)
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ratio := modelRatio * groupRatio
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preConsumedQuota := int(float64(preConsumedTokens) * ratio)
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userQuota, err := model.CacheGetUserQuota(userId)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota-preConsumedQuota < 0 {
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return service.OpenAIErrorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
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}
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err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota > 100*preConsumedQuota {
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// in this case, we do not pre-consume quota
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// because the user has enough quota
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preConsumedQuota = 0
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}
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if preConsumedQuota > 0 {
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userQuota, err = model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
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}
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}
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// map model name
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modelMapping := c.GetString("model_mapping")
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if modelMapping != "" {
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modelMap := make(map[string]string)
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err := json.Unmarshal([]byte(modelMapping), &modelMap)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
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}
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if modelMap[audioRequest.Model] != "" {
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audioRequest.Model = modelMap[audioRequest.Model]
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}
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}
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baseURL := common.ChannelBaseURLs[channelType]
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requestURL := c.Request.URL.String()
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if c.GetString("base_url") != "" {
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baseURL = c.GetString("base_url")
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}
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fullRequestURL := common.getFullRequestURL(baseURL, requestURL, channelType)
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if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
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// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
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apiVersion := common.GetAPIVersion(c)
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fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, audioRequest.Model, apiVersion)
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}
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requestBody := c.Request.Body
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req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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if relayMode == RelayModeAudioTranscription && channelType == common.ChannelTypeAzure {
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// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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req.Header.Set("api-key", apiKey)
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req.ContentLength = c.Request.ContentLength
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} else {
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req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
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}
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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req.Header.Set("Accept", c.Request.Header.Get("Accept"))
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resp, err := controller.httpClient.Do(req)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
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}
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err = req.Body.Close()
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if err != nil {
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return service.OpenAIErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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err = c.Request.Body.Close()
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if err != nil {
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return service.OpenAIErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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if resp.StatusCode != http.StatusOK {
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return common.relayErrorHandler(resp)
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}
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var audioResponse dto.AudioResponse
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defer func(ctx context.Context) {
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go func() {
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useTimeSeconds := time.Now().Unix() - startTime.Unix()
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quota := 0
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var promptTokens = 0
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if strings.HasPrefix(audioRequest.Model, "tts-1") {
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quota = service.countAudioToken(audioRequest.Input, audioRequest.Model)
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promptTokens = quota
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} else {
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quota = service.countAudioToken(audioResponse.Text, audioRequest.Model)
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}
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quota = int(float64(quota) * ratio)
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if ratio != 0 && quota <= 0 {
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quota = 1
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}
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quotaDelta := quota - preConsumedQuota
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err := model.PostConsumeTokenQuota(tokenId, userQuota, quotaDelta, preConsumedQuota, true)
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if err != nil {
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common.SysError("error consuming token remain quota: " + err.Error())
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}
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err = model.CacheUpdateUserQuota(userId)
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if err != nil {
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common.SysError("error update user quota cache: " + err.Error())
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}
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if quota != 0 {
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tokenName := c.GetString("token_name")
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logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
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model.RecordConsumeLog(ctx, userId, channelId, promptTokens, 0, audioRequest.Model, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), false)
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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channelId := c.GetInt("channel_id")
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model.UpdateChannelUsedQuota(channelId, quota)
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}
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}()
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}(c.Request.Context())
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
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}
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err = resp.Body.Close()
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if err != nil {
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return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
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}
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if strings.HasPrefix(audioRequest.Model, "tts-1") {
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} else {
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err = json.Unmarshal(responseBody, &audioResponse)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
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}
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}
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resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
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for k, v := range resp.Header {
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c.Writer.Header().Set(k, v[0])
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}
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c.Writer.WriteHeader(resp.StatusCode)
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_, err = io.Copy(c.Writer, resp.Body)
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if err != nil {
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return service.OpenAIErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
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}
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err = resp.Body.Close()
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if err != nil {
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return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
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}
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return nil
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}
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