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* 4.7-alpha3 (#62) * doc * Optimize possible null Pointers and parts of Ux * fix: mulity index training error * feat: doc and rename question guide * fix ios speech input (#59) * fix: prompt editor variables nowrap (#61) * change openapi import in http module with curl import (#60) * chore(ui): dataset import modal ui (#58) * chore(ui): dataset import modal ui * use component * fix height * 4.7 (#63) * fix: claude3 image type verification failed (#1038) (#1040) * perf: curl import modal * doc img * perf: adapt cohere rerank * perf: code * perf: input style * doc --------- Co-authored-by: xiaotian <dimsky@163.com> * fix: ts * docker deploy * perf: prompt call * doc * ts * finish ui * perf: outlink detail ux * perf: user schema * fix: plugin update * feat: get current time plugin * fix: ts * perf: fetch anamation * perf: mark ux * doc * perf: select app ux * fix: split text custom string conflict * peref: inform readed * doc * memo flow component * perf: version * faq * feat: flow max runtimes * feat: similarity tip * feat: auto detect file encoding * Supports asymmetric vector model * fix: ts * perf: max w * move code * perf: hide whisper * fix: ts * feat: system msg modal * perf: catch error * perf: inform tip * fix: inform --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com> Co-authored-by: xiaotian <dimsky@163.com>
274 lines
5.3 KiB
TypeScript
274 lines
5.3 KiB
TypeScript
import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
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import { ModelTypeEnum } from '@fastgpt/service/core/ai/model';
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import { addLog } from '@fastgpt/service/common/system/log';
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import { createUsage, concatUsage } from './controller';
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import { formatModelChars2Points } from '@fastgpt/service/support/wallet/usage/utils';
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import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
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export const pushChatUsage = ({
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appName,
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appId,
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teamId,
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tmbId,
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source,
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flowUsages
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}: {
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appName: string;
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appId: string;
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teamId: string;
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tmbId: string;
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source: `${UsageSourceEnum}`;
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flowUsages: ChatNodeUsageType[];
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}) => {
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const totalPoints = flowUsages.reduce((sum, item) => sum + (item.totalPoints || 0), 0);
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createUsage({
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teamId,
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tmbId,
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appName,
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appId,
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totalPoints,
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source,
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list: flowUsages.map((item) => ({
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moduleName: item.moduleName,
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amount: item.totalPoints || 0,
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model: item.model,
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tokens: item.tokens
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}))
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});
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addLog.info(`finish completions`, {
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source,
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teamId,
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tmbId,
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totalPoints
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});
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return { totalPoints };
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};
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export const pushQAUsage = async ({
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teamId,
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tmbId,
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model,
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tokens,
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billId
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}: {
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teamId: string;
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tmbId: string;
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model: string;
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tokens: number;
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billId: string;
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}) => {
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// 计算价格
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const { totalPoints } = formatModelChars2Points({
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model,
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modelType: ModelTypeEnum.llm,
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tokens
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});
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concatUsage({
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billId,
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teamId,
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tmbId,
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totalPoints,
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tokens,
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listIndex: 1
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});
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return { totalPoints };
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};
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export const pushGenerateVectorUsage = ({
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billId,
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teamId,
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tmbId,
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tokens,
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model,
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source = UsageSourceEnum.fastgpt,
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extensionModel,
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extensionTokens
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}: {
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billId?: string;
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teamId: string;
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tmbId: string;
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tokens: number;
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model: string;
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source?: `${UsageSourceEnum}`;
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extensionModel?: string;
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extensionTokens?: number;
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}) => {
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const { totalPoints: totalVector, modelName: vectorModelName } = formatModelChars2Points({
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modelType: ModelTypeEnum.vector,
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model,
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tokens
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});
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const { extensionTotalPoints, extensionModelName } = (() => {
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if (!extensionModel || !extensionTokens)
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return {
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extensionTotalPoints: 0,
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extensionModelName: ''
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};
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const { totalPoints, modelName } = formatModelChars2Points({
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modelType: ModelTypeEnum.llm,
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model: extensionModel,
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tokens: extensionTokens
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});
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return {
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extensionTotalPoints: totalPoints,
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extensionModelName: modelName
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};
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})();
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const totalPoints = totalVector + extensionTotalPoints;
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// 插入 Bill 记录
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if (billId) {
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concatUsage({
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teamId,
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tmbId,
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totalPoints,
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billId,
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tokens,
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listIndex: 0
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});
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} else {
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createUsage({
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teamId,
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tmbId,
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appName: 'support.wallet.moduleName.index',
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totalPoints,
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source,
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list: [
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{
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moduleName: 'support.wallet.moduleName.index',
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amount: totalVector,
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model: vectorModelName,
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tokens
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},
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...(extensionModel !== undefined
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? [
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{
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moduleName: 'core.module.template.Query extension',
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amount: extensionTotalPoints,
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model: extensionModelName,
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tokens: extensionTokens
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}
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]
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: [])
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]
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});
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}
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return { totalPoints };
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};
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export const pushQuestionGuideUsage = ({
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tokens,
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teamId,
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tmbId
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}: {
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tokens: number;
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teamId: string;
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tmbId: string;
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}) => {
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const qgModel = global.llmModels[0];
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const { totalPoints, modelName } = formatModelChars2Points({
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tokens,
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model: qgModel.model,
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modelType: ModelTypeEnum.llm
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});
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createUsage({
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teamId,
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tmbId,
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appName: 'core.app.Question Guide',
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totalPoints,
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source: UsageSourceEnum.fastgpt,
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list: [
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{
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moduleName: 'core.app.Question Guide',
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amount: totalPoints,
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model: modelName,
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tokens
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}
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]
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});
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};
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export function pushAudioSpeechUsage({
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appName = 'support.wallet.usage.Audio Speech',
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model,
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charsLength,
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teamId,
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tmbId,
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source = UsageSourceEnum.fastgpt
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}: {
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appName?: string;
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model: string;
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charsLength: number;
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teamId: string;
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tmbId: string;
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source: `${UsageSourceEnum}`;
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}) {
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const { totalPoints, modelName } = formatModelChars2Points({
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model,
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tokens: charsLength,
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modelType: ModelTypeEnum.audioSpeech
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});
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createUsage({
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teamId,
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tmbId,
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appName,
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totalPoints,
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source,
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list: [
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{
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moduleName: appName,
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amount: totalPoints,
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model: modelName,
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charsLength
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}
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]
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});
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}
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export function pushWhisperUsage({
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teamId,
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tmbId,
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duration
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}: {
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teamId: string;
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tmbId: string;
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duration: number;
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}) {
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const whisperModel = global.whisperModel;
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if (!whisperModel) return;
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const { totalPoints, modelName } = formatModelChars2Points({
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model: whisperModel.model,
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tokens: duration,
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modelType: ModelTypeEnum.whisper,
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multiple: 60
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});
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const name = 'support.wallet.usage.Whisper';
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createUsage({
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teamId,
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tmbId,
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appName: name,
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totalPoints,
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source: UsageSourceEnum.fastgpt,
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list: [
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{
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moduleName: name,
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amount: totalPoints,
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model: modelName,
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duration
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}
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]
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});
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}
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