Aiproxy (#3649)

* model config

* feat: model config ui

* perf: rename variable

* feat: custom request url

* perf: model buffer

* perf: init model

* feat: json model config

* auto login

* fix: ts

* update packages

* package

* fix: dockerfile

projects/app/src/service/support/wallet/usage/push.ts

@@ -1,10 +1,11 @@
 import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
-import { ModelTypeEnum } from '@fastgpt/service/core/ai/model';
 import { addLog } from '@fastgpt/service/common/system/log';
 import { createUsage, concatUsage } from './controller';
 import { formatModelChars2Points } from '@fastgpt/service/support/wallet/usage/utils';
 import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
 import { i18nT } from '@fastgpt/web/i18n/utils';
+import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
+import { getFirstLLMModel, getFirstSTTModel } from '@fastgpt/service/core/ai/model';
 
 export const pushChatUsage = ({
   appName,
@@ -108,7 +109,7 @@ export const pushGenerateVectorUsage = ({
   extensionOutputTokens?: number;
 }) => {
   const { totalPoints: totalVector, modelName: vectorModelName } = formatModelChars2Points({
-    modelType: ModelTypeEnum.vector,
+    modelType: ModelTypeEnum.embedding,
     model,
     inputTokens
   });
@@ -185,7 +186,7 @@ export const pushQuestionGuideUsage = ({
   teamId: string;
   tmbId: string;
 }) => {
-  const qgModel = global.llmModels[0];
+  const qgModel = getFirstLLMModel();
   const { totalPoints, modelName } = formatModelChars2Points({
     inputTokens,
     outputTokens,
@@ -229,7 +230,7 @@ export function pushAudioSpeechUsage({
   const { totalPoints, modelName } = formatModelChars2Points({
     model,
     inputTokens: charsLength,
-    modelType: ModelTypeEnum.audioSpeech
+    modelType: ModelTypeEnum.tts
   });
 
   createUsage({
@@ -258,14 +259,14 @@ export function pushWhisperUsage({
   tmbId: string;
   duration: number;
 }) {
-  const whisperModel = global.whisperModel;
+  const whisperModel = getFirstSTTModel();
 
   if (!whisperModel) return;
 
   const { totalPoints, modelName } = formatModelChars2Points({
     model: whisperModel.model,
     inputTokens: duration,
-    modelType: ModelTypeEnum.whisper,
+    modelType: ModelTypeEnum.stt,
     multiple: 60
   });