e2037ad756
This commit introduces a major architectural refactoring to improve quota management, centralize logging, and streamline the relay handling logic. Key changes: - **Pre-consume Quota:** Implements a new mechanism to check and reserve user quota *before* making the request to the upstream provider. This ensures more accurate quota deduction and prevents users from exceeding their limits due to concurrent requests. - **Unified Relay Handlers:** Refactors the relay logic to use generic handlers (e.g., `ChatHandler`, `ImageHandler`) instead of provider-specific implementations. This significantly reduces code duplication and simplifies adding new channels. - **Centralized Logger:** A new dedicated `logger` package is introduced, and all system logging calls are migrated to use it, moving this responsibility out of the `common` package. - **Code Reorganization:** DTOs are generalized (e.g., `dalle.go` -> `openai_image.go`) and utility code is moved to more appropriate packages (e.g., `common/http.go` -> `service/http.go`) for better code structure.
402 lines
15 KiB
Go
402 lines
15 KiB
Go
package relay
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import (
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"bytes"
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"fmt"
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"io"
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"net/http"
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"one-api/common"
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"one-api/constant"
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"one-api/dto"
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"one-api/logger"
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"one-api/model"
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relaycommon "one-api/relay/common"
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"one-api/relay/helper"
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"one-api/service"
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"one-api/setting/model_setting"
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"one-api/setting/operation_setting"
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"one-api/types"
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"strings"
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"time"
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"github.com/shopspring/decimal"
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"github.com/gin-gonic/gin"
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)
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func TextHelper(c *gin.Context, info *relaycommon.RelayInfo) (newAPIError *types.NewAPIError) {
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info.InitChannelMeta(c)
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textRequest, ok := info.Request.(*dto.GeneralOpenAIRequest)
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if !ok {
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//return types.NewErrorWithStatusCode(errors.New("invalid request type"), types.ErrorCodeInvalidRequest, http.StatusBadRequest, types.ErrOptionWithSkipRetry())
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common.FatalLog("invalid request type, expected dto.GeneralOpenAIRequest, got %T", info.Request)
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}
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if textRequest.WebSearchOptions != nil {
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c.Set("chat_completion_web_search_context_size", textRequest.WebSearchOptions.SearchContextSize)
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}
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err := helper.ModelMappedHelper(c, info, textRequest)
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if err != nil {
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return types.NewError(err, types.ErrorCodeChannelModelMappedError, types.ErrOptionWithSkipRetry())
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}
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adaptor := GetAdaptor(info.ApiType)
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if adaptor == nil {
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return types.NewError(fmt.Errorf("invalid api type: %d", info.ApiType), types.ErrorCodeInvalidApiType, types.ErrOptionWithSkipRetry())
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}
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adaptor.Init(info)
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var requestBody io.Reader
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if model_setting.GetGlobalSettings().PassThroughRequestEnabled || info.ChannelSetting.PassThroughBodyEnabled {
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body, err := common.GetRequestBody(c)
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if err != nil {
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return types.NewErrorWithStatusCode(err, types.ErrorCodeReadRequestBodyFailed, http.StatusBadRequest, types.ErrOptionWithSkipRetry())
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}
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if common.DebugEnabled {
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println("requestBody: ", string(body))
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}
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requestBody = bytes.NewBuffer(body)
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} else {
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convertedRequest, err := adaptor.ConvertOpenAIRequest(c, info, textRequest)
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if err != nil {
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return types.NewError(err, types.ErrorCodeConvertRequestFailed, types.ErrOptionWithSkipRetry())
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}
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if info.ChannelSetting.SystemPrompt != "" {
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// 如果有系统提示，则将其添加到请求中
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request := convertedRequest.(*dto.GeneralOpenAIRequest)
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containSystemPrompt := false
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for _, message := range request.Messages {
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if message.Role == request.GetSystemRoleName() {
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containSystemPrompt = true
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break
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}
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}
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if !containSystemPrompt {
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// 如果没有系统提示，则添加系统提示
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systemMessage := dto.Message{
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Role: request.GetSystemRoleName(),
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Content: info.ChannelSetting.SystemPrompt,
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}
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request.Messages = append([]dto.Message{systemMessage}, request.Messages...)
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} else if info.ChannelSetting.SystemPromptOverride {
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common.SetContextKey(c, constant.ContextKeySystemPromptOverride, true)
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// 如果有系统提示，且允许覆盖，则拼接到前面
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for i, message := range request.Messages {
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if message.Role == request.GetSystemRoleName() {
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if message.IsStringContent() {
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request.Messages[i].SetStringContent(info.ChannelSetting.SystemPrompt + "\n" + message.StringContent())
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} else {
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contents := message.ParseContent()
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contents = append([]dto.MediaContent{
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{
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Type: dto.ContentTypeText,
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Text: info.ChannelSetting.SystemPrompt,
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},
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}, contents...)
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request.Messages[i].Content = contents
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}
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break
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}
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}
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}
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}
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jsonData, err := common.Marshal(convertedRequest)
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if err != nil {
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return types.NewError(err, types.ErrorCodeConvertRequestFailed, types.ErrOptionWithSkipRetry())
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}
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// apply param override
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if len(info.ParamOverride) > 0 {
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reqMap := make(map[string]interface{})
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_ = common.Unmarshal(jsonData, &reqMap)
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for key, value := range info.ParamOverride {
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reqMap[key] = value
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}
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jsonData, err = common.Marshal(reqMap)
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if err != nil {
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return types.NewError(err, types.ErrorCodeChannelParamOverrideInvalid, types.ErrOptionWithSkipRetry())
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}
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}
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logger.LogDebug(c, fmt.Sprintf("text request body: %s", string(jsonData)))
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requestBody = bytes.NewBuffer(jsonData)
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}
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var httpResp *http.Response
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resp, err := adaptor.DoRequest(c, info, requestBody)
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if err != nil {
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return types.NewOpenAIError(err, types.ErrorCodeDoRequestFailed, http.StatusInternalServerError)
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}
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statusCodeMappingStr := c.GetString("status_code_mapping")
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if resp != nil {
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httpResp = resp.(*http.Response)
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info.IsStream = info.IsStream || strings.HasPrefix(httpResp.Header.Get("Content-Type"), "text/event-stream")
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if httpResp.StatusCode != http.StatusOK {
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newApiErr := service.RelayErrorHandler(httpResp, false)
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// reset status code 重置状态码
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service.ResetStatusCode(newApiErr, statusCodeMappingStr)
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return newApiErr
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}
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}
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usage, newApiErr := adaptor.DoResponse(c, httpResp, info)
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if newApiErr != nil {
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// reset status code 重置状态码
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service.ResetStatusCode(newApiErr, statusCodeMappingStr)
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return newApiErr
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}
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if strings.HasPrefix(info.OriginModelName, "gpt-4o-audio") {
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service.PostAudioConsumeQuota(c, info, usage.(*dto.Usage), "")
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} else {
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postConsumeQuota(c, info, usage.(*dto.Usage), "")
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}
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return nil
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}
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func postConsumeQuota(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, usage *dto.Usage, extraContent string) {
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if usage == nil {
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usage = &dto.Usage{
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PromptTokens: relayInfo.PromptTokens,
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CompletionTokens: 0,
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TotalTokens: relayInfo.PromptTokens,
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}
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extraContent += "（可能是请求出错）"
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}
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useTimeSeconds := time.Now().Unix() - relayInfo.StartTime.Unix()
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promptTokens := usage.PromptTokens
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cacheTokens := usage.PromptTokensDetails.CachedTokens
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imageTokens := usage.PromptTokensDetails.ImageTokens
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audioTokens := usage.PromptTokensDetails.AudioTokens
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completionTokens := usage.CompletionTokens
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modelName := relayInfo.OriginModelName
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tokenName := ctx.GetString("token_name")
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completionRatio := relayInfo.PriceData.CompletionRatio
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cacheRatio := relayInfo.PriceData.CacheRatio
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imageRatio := relayInfo.PriceData.ImageRatio
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modelRatio := relayInfo.PriceData.ModelRatio
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groupRatio := relayInfo.PriceData.GroupRatioInfo.GroupRatio
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modelPrice := relayInfo.PriceData.ModelPrice
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// Convert values to decimal for precise calculation
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dPromptTokens := decimal.NewFromInt(int64(promptTokens))
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dCacheTokens := decimal.NewFromInt(int64(cacheTokens))
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dImageTokens := decimal.NewFromInt(int64(imageTokens))
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dAudioTokens := decimal.NewFromInt(int64(audioTokens))
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dCompletionTokens := decimal.NewFromInt(int64(completionTokens))
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dCompletionRatio := decimal.NewFromFloat(completionRatio)
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dCacheRatio := decimal.NewFromFloat(cacheRatio)
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dImageRatio := decimal.NewFromFloat(imageRatio)
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dModelRatio := decimal.NewFromFloat(modelRatio)
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dGroupRatio := decimal.NewFromFloat(groupRatio)
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dModelPrice := decimal.NewFromFloat(modelPrice)
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dQuotaPerUnit := decimal.NewFromFloat(common.QuotaPerUnit)
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ratio := dModelRatio.Mul(dGroupRatio)
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// openai web search 工具计费
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var dWebSearchQuota decimal.Decimal
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var webSearchPrice float64
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// response api 格式工具计费
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if relayInfo.ResponsesUsageInfo != nil {
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if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists && webSearchTool.CallCount > 0 {
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// 计算 web search 调用的配额 (配额 = 价格 * 调用次数 / 1000 * 分组倍率)
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webSearchPrice = operation_setting.GetWebSearchPricePerThousand(modelName, webSearchTool.SearchContextSize)
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dWebSearchQuota = decimal.NewFromFloat(webSearchPrice).
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Mul(decimal.NewFromInt(int64(webSearchTool.CallCount))).
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Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
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extraContent += fmt.Sprintf("Web Search 调用 %d 次，上下文大小 %s，调用花费 %s",
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webSearchTool.CallCount, webSearchTool.SearchContextSize, dWebSearchQuota.String())
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}
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} else if strings.HasSuffix(modelName, "search-preview") {
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// search-preview 模型不支持 response api
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searchContextSize := ctx.GetString("chat_completion_web_search_context_size")
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if searchContextSize == "" {
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searchContextSize = "medium"
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}
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webSearchPrice = operation_setting.GetWebSearchPricePerThousand(modelName, searchContextSize)
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dWebSearchQuota = decimal.NewFromFloat(webSearchPrice).
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Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
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extraContent += fmt.Sprintf("Web Search 调用 1 次，上下文大小 %s，调用花费 %s",
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searchContextSize, dWebSearchQuota.String())
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}
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// claude web search tool 计费
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var dClaudeWebSearchQuota decimal.Decimal
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var claudeWebSearchPrice float64
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claudeWebSearchCallCount := ctx.GetInt("claude_web_search_requests")
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if claudeWebSearchCallCount > 0 {
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claudeWebSearchPrice = operation_setting.GetClaudeWebSearchPricePerThousand()
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dClaudeWebSearchQuota = decimal.NewFromFloat(claudeWebSearchPrice).
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Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit).Mul(decimal.NewFromInt(int64(claudeWebSearchCallCount)))
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extraContent += fmt.Sprintf("Claude Web Search 调用 %d 次，调用花费 %s",
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claudeWebSearchCallCount, dClaudeWebSearchQuota.String())
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}
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// file search tool 计费
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var dFileSearchQuota decimal.Decimal
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var fileSearchPrice float64
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if relayInfo.ResponsesUsageInfo != nil {
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if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists && fileSearchTool.CallCount > 0 {
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fileSearchPrice = operation_setting.GetFileSearchPricePerThousand()
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dFileSearchQuota = decimal.NewFromFloat(fileSearchPrice).
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Mul(decimal.NewFromInt(int64(fileSearchTool.CallCount))).
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Div(decimal.NewFromInt(1000)).Mul(dGroupRatio).Mul(dQuotaPerUnit)
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extraContent += fmt.Sprintf("File Search 调用 %d 次，调用花费 %s",
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fileSearchTool.CallCount, dFileSearchQuota.String())
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}
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}
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var quotaCalculateDecimal decimal.Decimal
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var audioInputQuota decimal.Decimal
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var audioInputPrice float64
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if !relayInfo.PriceData.UsePrice {
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baseTokens := dPromptTokens
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// 减去 cached tokens
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var cachedTokensWithRatio decimal.Decimal
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if !dCacheTokens.IsZero() {
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baseTokens = baseTokens.Sub(dCacheTokens)
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cachedTokensWithRatio = dCacheTokens.Mul(dCacheRatio)
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}
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// 减去 image tokens
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var imageTokensWithRatio decimal.Decimal
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if !dImageTokens.IsZero() {
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baseTokens = baseTokens.Sub(dImageTokens)
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imageTokensWithRatio = dImageTokens.Mul(dImageRatio)
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}
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// 减去 Gemini audio tokens
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if !dAudioTokens.IsZero() {
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audioInputPrice = operation_setting.GetGeminiInputAudioPricePerMillionTokens(modelName)
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if audioInputPrice > 0 {
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// 重新计算 base tokens
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baseTokens = baseTokens.Sub(dAudioTokens)
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audioInputQuota = decimal.NewFromFloat(audioInputPrice).Div(decimal.NewFromInt(1000000)).Mul(dAudioTokens).Mul(dGroupRatio).Mul(dQuotaPerUnit)
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extraContent += fmt.Sprintf("Audio Input 花费 %s", audioInputQuota.String())
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}
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}
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promptQuota := baseTokens.Add(cachedTokensWithRatio).Add(imageTokensWithRatio)
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completionQuota := dCompletionTokens.Mul(dCompletionRatio)
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quotaCalculateDecimal = promptQuota.Add(completionQuota).Mul(ratio)
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if !ratio.IsZero() && quotaCalculateDecimal.LessThanOrEqual(decimal.Zero) {
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quotaCalculateDecimal = decimal.NewFromInt(1)
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}
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} else {
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quotaCalculateDecimal = dModelPrice.Mul(dQuotaPerUnit).Mul(dGroupRatio)
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}
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// 添加 responses tools call 调用的配额
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quotaCalculateDecimal = quotaCalculateDecimal.Add(dWebSearchQuota)
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quotaCalculateDecimal = quotaCalculateDecimal.Add(dFileSearchQuota)
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// 添加 audio input 独立计费
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quotaCalculateDecimal = quotaCalculateDecimal.Add(audioInputQuota)
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quota := int(quotaCalculateDecimal.Round(0).IntPart())
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totalTokens := promptTokens + completionTokens
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var logContent string
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if !relayInfo.PriceData.UsePrice {
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logContent = fmt.Sprintf("模型倍率 %.2f，补全倍率 %.2f，分组倍率 %.2f", modelRatio, completionRatio, groupRatio)
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} else {
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logContent = fmt.Sprintf("模型价格 %.2f，分组倍率 %.2f", modelPrice, groupRatio)
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}
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// record all the consume log even if quota is 0
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if totalTokens == 0 {
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// in this case, must be some error happened
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// we cannot just return, because we may have to return the pre-consumed quota
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quota = 0
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logContent += fmt.Sprintf("（可能是上游超时）")
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logger.LogError(ctx, fmt.Sprintf("total tokens is 0, cannot consume quota, userId %d, channelId %d, "+
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"tokenId %d, model %s， pre-consumed quota %d", relayInfo.UserId, relayInfo.ChannelId, relayInfo.TokenId, modelName, relayInfo.FinalPreConsumedQuota))
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} else {
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if !ratio.IsZero() && quota == 0 {
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quota = 1
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}
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model.UpdateUserUsedQuotaAndRequestCount(relayInfo.UserId, quota)
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model.UpdateChannelUsedQuota(relayInfo.ChannelId, quota)
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}
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quotaDelta := quota - relayInfo.FinalPreConsumedQuota
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if quotaDelta != 0 {
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err := service.PostConsumeQuota(relayInfo, quotaDelta, relayInfo.FinalPreConsumedQuota, true)
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if err != nil {
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logger.LogError(ctx, "error consuming token remain quota: "+err.Error())
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}
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}
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logModel := modelName
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if strings.HasPrefix(logModel, "gpt-4-gizmo") {
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logModel = "gpt-4-gizmo-*"
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logContent += fmt.Sprintf("，模型 %s", modelName)
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}
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if strings.HasPrefix(logModel, "gpt-4o-gizmo") {
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logModel = "gpt-4o-gizmo-*"
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logContent += fmt.Sprintf("，模型 %s", modelName)
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}
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if extraContent != "" {
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logContent += ", " + extraContent
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}
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other := service.GenerateTextOtherInfo(ctx, relayInfo, modelRatio, groupRatio, completionRatio, cacheTokens, cacheRatio, modelPrice, relayInfo.PriceData.GroupRatioInfo.GroupSpecialRatio)
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if imageTokens != 0 {
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other["image"] = true
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other["image_ratio"] = imageRatio
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other["image_output"] = imageTokens
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}
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if !dWebSearchQuota.IsZero() {
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if relayInfo.ResponsesUsageInfo != nil {
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if webSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolWebSearchPreview]; exists {
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other["web_search"] = true
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other["web_search_call_count"] = webSearchTool.CallCount
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other["web_search_price"] = webSearchPrice
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}
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} else if strings.HasSuffix(modelName, "search-preview") {
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other["web_search"] = true
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other["web_search_call_count"] = 1
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other["web_search_price"] = webSearchPrice
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}
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} else if !dClaudeWebSearchQuota.IsZero() {
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other["web_search"] = true
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other["web_search_call_count"] = claudeWebSearchCallCount
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other["web_search_price"] = claudeWebSearchPrice
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}
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if !dFileSearchQuota.IsZero() && relayInfo.ResponsesUsageInfo != nil {
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if fileSearchTool, exists := relayInfo.ResponsesUsageInfo.BuiltInTools[dto.BuildInToolFileSearch]; exists {
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other["file_search"] = true
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other["file_search_call_count"] = fileSearchTool.CallCount
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other["file_search_price"] = fileSearchPrice
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}
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}
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if !audioInputQuota.IsZero() {
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other["audio_input_seperate_price"] = true
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other["audio_input_token_count"] = audioTokens
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other["audio_input_price"] = audioInputPrice
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}
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model.RecordConsumeLog(ctx, relayInfo.UserId, model.RecordConsumeLogParams{
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ChannelId: relayInfo.ChannelId,
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PromptTokens: promptTokens,
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CompletionTokens: completionTokens,
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ModelName: logModel,
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TokenName: tokenName,
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Quota: quota,
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Content: logContent,
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TokenId: relayInfo.TokenId,
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UseTimeSeconds: int(useTimeSeconds),
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IsStream: relayInfo.IsStream,
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Group: relayInfo.UsingGroup,
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Other: other,
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})
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}
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