feat: openai base url

.env.template

@@ -1,7 +1,6 @@
 # proxy
 AXIOS_PROXY_HOST=127.0.0.1
-AXIOS_PROXY_PORT_FAST=7890
+AXIOS_PROXY_PORT=7890
-AXIOS_PROXY_PORT_NORMAL=7890
 queueTask=1
 parentUrl=https://hostname/api/openapi/startEvents
 # email
@@ -16,6 +15,7 @@ aliTemplateCode=SMS_xxx
 TOKEN_KEY=xxx
 # openai
 OPENAIKEY=sk-xxx
+OPENAI_BASE_URL=https://api.openai.com/v1
 # db
 MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
 PG_HOST=0.0.0.0

README.md

@@ -11,8 +11,10 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接
 ```bash
 # proxy（不需要代理可忽略）
 AXIOS_PROXY_HOST=127.0.0.1
-AXIOS_PROXY_PORT_FAST=7890
+AXIOS_PROXY_PORT=7890
-AXIOS_PROXY_PORT_NORMAL=7890
+# 中转方案，修改 openai 的 base url
+OPENAI_BASE_URL=https://api.openai.com/v1
+# 是否开启队列任务。 1-开启，0-关闭（请求parentUrl去执行任务,单机时直接填1）
 queueTask=1
 parentUrl=https://hostname/api/openapi/startEvents
 # email，参考 nodeMail 获取参数
@@ -181,24 +183,17 @@ services:
     restart: always
     container_name: fast-gpt
     environment:
-      # 代理（不需要代理，可去掉下面三个参数）
       - AXIOS_PROXY_HOST=127.0.0.1
-      - AXIOS_PROXY_PORT_FAST=7890
+      - AXIOS_PROXY_PORT=7890
-      - AXIOS_PROXY_PORT_NORMAL=7890
-      # 邮箱
       - MY_MAIL=xxxx@qq.com  
       - MAILE_CODE=xxxx
-      # 阿里云短信
       - aliAccessKeyId=xxxx 
       - aliAccessKeySecret=xxxx
       - aliSignName=xxxxx
       - aliTemplateCode=SMS_xxxx
-      # 登录 key
       - TOKEN_KEY=xxxx 
-      # 是否开启队列任务。 1-开启，0-关闭（请求parentUrl去执行任务,单机时直接填1）
       - queueTask=1
       - parentUrl=https://hostname/api/openapi/startEvents
-      # db
       - MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
       - MONGODB_NAME=xxx
       - PG_HOST=0.0.0.0
@@ -206,7 +201,6 @@ services:
       - PG_USER=xxx
       - PG_PASSWORD=xxx
       - PG_DB_NAME=xxx
-      # openai 账号
       - OPENAIKEY=sk-xxxxx
   nginx: 
     image: nginx:alpine3.17

src/pages/api/chat/chatGpt.ts

@@ -1,7 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase } from '@/service/mongo';
 import { getOpenAIApi, authChat } from '@/service/utils/auth';
-import { httpsAgent, openaiChatFilter } from '@/service/utils/tools';
+import { axiosConfig, openaiChatFilter } from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
@@ -88,7 +88,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       {
         timeout: 40000,
         responseType: 'stream',
-        httpsAgent: httpsAgent(!userApiKey)
+        ...axiosConfig
       }
     );
 

src/pages/api/chat/vectorGpt.ts

@@ -1,7 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase } from '@/service/mongo';
 import { authChat } from '@/service/utils/auth';
-import { httpsAgent, systemPromptFilter, openaiChatFilter } from '@/service/utils/tools';
+import { axiosConfig, systemPromptFilter, openaiChatFilter } from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
@@ -150,7 +150,7 @@ ${
       {
         timeout: 40000,
         responseType: 'stream',
-        httpsAgent: httpsAgent(!userApiKey)
+        ...axiosConfig
       }
     );
 

src/pages/api/model/data/fetchingUrlData.ts

@@ -3,7 +3,7 @@ import { jsonRes } from '@/service/response';
 import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 import axios from 'axios';
-import { httpsAgent } from '@/service/utils/tools';
+import { axiosConfig } from '@/service/utils/tools';
 
 /**
  * 读取网站的内容
@@ -22,7 +22,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 
     const data = await axios
       .get(url, {
-        httpsAgent: httpsAgent(false)
+        httpsAgent: axiosConfig.httpsAgent
       })
       .then((res) => res.data as string);
 

src/pages/api/model/del.ts

@@ -1,11 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { Chat, Model, Training, connectToDatabase } from '@/service/mongo';
+import { Chat, Model, connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
-import { getUserApiOpenai } from '@/service/utils/openai';
-import { TrainingStatusEnum } from '@/constants/model';
-import { TrainingItemType } from '@/types/training';
-import { httpsAgent } from '@/service/utils/tools';
 import { PgClient } from '@/service/pg';
 
 /* 获取我的模型 */
@@ -47,31 +43,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       modelId
     });
 
-    // 查看是否正在训练
-    const training: TrainingItemType | null = await Training.findOne({
-      modelId,
-      status: TrainingStatusEnum.pending
-    });
-
-    // 如果正在训练，需要删除openai上的相关信息
-    if (training) {
-      const { openai } = await getUserApiOpenai(userId);
-      // 获取训练记录
-      const tuneRecord = await openai.retrieveFineTune(training.tuneId, {
-        httpsAgent: httpsAgent(false)
-      });
-
-      // 删除训练文件
-      openai.deleteFile(tuneRecord.data.training_files[0].id, { httpsAgent: httpsAgent(false) });
-      // 取消训练
-      openai.cancelFineTune(training.tuneId, { httpsAgent: httpsAgent(false) });
-    }
-
-    // 删除对应训练记录
-    await Training.deleteMany({
-      modelId
-    });
-
     // 删除模型
     await Model.deleteOne({
       _id: modelId,

src/pages/api/model/train/getTrainings.ts

@@ -1,52 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Training } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-
-// 关闭next默认的bodyParser处理方式
-export const config = {
-  api: {
-    bodyParser: false
-  }
-};
-
-/* 获取模型训练记录 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('无权操作');
-    }
-    const { modelId } = req.query;
-    if (!modelId) {
-      throw new Error('参数错误');
-    }
-    await authToken(authorization);
-
-    await connectToDatabase();
-
-    /* 获取 modelId 下的 training 记录 */
-    const records = await Training.find({
-      modelId
-    });
-
-    jsonRes(res, {
-      data: records
-    });
-  } catch (err: any) {
-    /* 清除上传的文件，关闭训练记录 */
-    // @ts-ignore
-    if (openai) {
-      // @ts-ignore
-      uploadFileId && openai.deleteFile(uploadFileId);
-      // @ts-ignore
-      trainId && openai.cancelFineTune(trainId);
-    }
-
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/train/putTrainStatus.ts

@@ -1,106 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Model, Training } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import { getUserApiOpenai } from '@/service/utils/openai';
-import type { ModelSchema } from '@/types/mongoSchema';
-import { TrainingItemType } from '@/types/training';
-import { ModelStatusEnum, TrainingStatusEnum } from '@/constants/model';
-import { OpenAiTuneStatusEnum } from '@/service/constants/training';
-import { httpsAgent } from '@/service/utils/tools';
-
-/* 更新训练状态 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('无权操作');
-    }
-    const { modelId } = req.query as { modelId: string };
-    if (!modelId) {
-      throw new Error('参数错误');
-    }
-    const userId = await authToken(authorization);
-
-    await connectToDatabase();
-
-    // 获取模型
-    const model = await Model.findById<ModelSchema>(modelId);
-
-    if (!model || model.status !== 'training') {
-      throw new Error('模型不在训练中');
-    }
-
-    // 查询正在训练中的训练记录
-    const training: TrainingItemType | null = await Training.findOne({
-      modelId,
-      status: 'pending'
-    });
-
-    if (!training) {
-      throw new Error('找不到训练记录');
-    }
-
-    // 用户的 openai 实例
-    const { openai } = await getUserApiOpenai(userId);
-
-    // 获取 openai 的训练情况
-    const { data } = await openai.retrieveFineTune(training.tuneId, {
-      httpsAgent: httpsAgent(false)
-    });
-    // console.log(data);
-    if (data.status === OpenAiTuneStatusEnum.succeeded) {
-      // 删除训练文件
-      openai.deleteFile(data.training_files[0].id, { httpsAgent: httpsAgent(false) });
-
-      // 更新模型状态和模型内容
-      await Model.findByIdAndUpdate(modelId, {
-        status: ModelStatusEnum.running,
-        updateTime: new Date(),
-        service: {
-          ...model.service,
-          trainId: data.fine_tuned_model, // 训练完后，再次训练和对话使用的 model 是一样的
-          chatModel: data.fine_tuned_model
-        }
-      });
-      // 更新训练数据
-      await Training.findByIdAndUpdate(training._id, {
-        status: TrainingStatusEnum.succeed
-      });
-
-      return jsonRes(res, {
-        data: '模型微调完成'
-      });
-    }
-
-    /* 取消微调 */
-    if (data.status === OpenAiTuneStatusEnum.cancelled) {
-      // 删除训练文件
-      openai.deleteFile(data.training_files[0].id, { httpsAgent: httpsAgent(false) });
-
-      // 更新模型
-      await Model.findByIdAndUpdate(modelId, {
-        status: ModelStatusEnum.running,
-        updateTime: new Date()
-      });
-      // 更新训练数据
-      await Training.findByIdAndUpdate(training._id, {
-        status: TrainingStatusEnum.canceled
-      });
-
-      return jsonRes(res, {
-        data: '模型微调已取消'
-      });
-    }
-
-    jsonRes(res, {
-      data: '模型还在训练中'
-    });
-  } catch (err: any) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/train/train.ts

@@ -1,130 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Model, Training } from '@/service/mongo';
-import formidable from 'formidable';
-import { authToken } from '@/service/utils/tools';
-import { getUserApiOpenai } from '@/service/utils/openai';
-import { join } from 'path';
-import fs from 'fs';
-import type { ModelSchema } from '@/types/mongoSchema';
-import type { OpenAIApi } from 'openai';
-import { ModelStatusEnum, TrainingStatusEnum } from '@/constants/model';
-import { httpsAgent } from '@/service/utils/tools';
-
-// 关闭next默认的bodyParser处理方式
-export const config = {
-  api: {
-    bodyParser: false
-  }
-};
-
-/* 上传文件，开始微调 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  let openai: OpenAIApi, trainId: string, uploadFileId: string;
-
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('无权操作');
-    }
-    const { modelId } = req.query;
-
-    if (!modelId) {
-      throw new Error('参数错误');
-    }
-    const userId = await authToken(authorization);
-
-    await connectToDatabase();
-
-    // 获取模型的状态
-    const model = await Model.findById<ModelSchema>(modelId);
-
-    if (!model || model.status !== 'running') {
-      throw new Error('模型正忙');
-    }
-
-    // const trainingType = model.service.modelType
-    const trainingType = model.service.trainId; // 目前都默认是 openai text-davinci-03
-
-    // 获取用户的 API Key 实例化后的对象
-    const user = await getUserApiOpenai(userId);
-    openai = user.openai;
-
-    // 接收文件并保存
-    const form = formidable({
-      uploadDir: join(process.cwd(), 'public/trainData'),
-      keepExtensions: true
-    });
-
-    const { files } = await new Promise<{
-      fields: formidable.Fields;
-      files: formidable.Files;
-    }>((resolve, reject) => {
-      form.parse(req, (err, fields, files) => {
-        if (err) return reject(err);
-        resolve({ fields, files });
-      });
-    });
-    const file = files.file;
-
-    // 上传文件到 openai
-    // @ts-ignore
-    const uploadRes = await openai.createFile(
-      // @ts-ignore
-      fs.createReadStream(file.filepath),
-      'fine-tune',
-      { httpsAgent: httpsAgent(false) }
-    );
-    uploadFileId = uploadRes.data.id; // 记录上传文件的 ID
-
-    // 开始训练
-    const trainRes = await openai.createFineTune(
-      {
-        training_file: uploadFileId,
-        model: trainingType,
-        suffix: model.name,
-        n_epochs: 4
-      },
-      { httpsAgent: httpsAgent(false) }
-    );
-
-    trainId = trainRes.data.id; // 记录训练 ID
-
-    // 创建训练记录
-    await Training.create({
-      serviceName: 'openai',
-      tuneId: trainId,
-      status: TrainingStatusEnum.pending,
-      modelId
-    });
-
-    // 修改模型状态
-    await Model.findByIdAndUpdate(modelId, {
-      $inc: {
-        trainingTimes: +1
-      },
-      updateTime: new Date(),
-      status: ModelStatusEnum.training
-    });
-
-    jsonRes(res, {
-      data: 'start training'
-    });
-  } catch (err: any) {
-    /* 清除上传的文件，关闭训练记录 */
-    // @ts-ignore
-    if (openai) {
-      // @ts-ignore
-      uploadFileId && openai.deleteFile(uploadFileId, { httpsAgent: httpsAgent(false) });
-      // @ts-ignore
-      trainId && openai.cancelFineTune(trainId, { httpsAgent: httpsAgent(false) });
-    }
-
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/openapi/chat/chatGpt.ts

@@ -1,8 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase, Model } from '@/service/mongo';
 import { getOpenAIApi } from '@/service/utils/auth';
-import { httpsAgent, openaiChatFilter, authOpenApiKey } from '@/service/utils/tools';
+import { axiosConfig, openaiChatFilter, authOpenApiKey } from '@/service/utils/tools';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
@@ -101,7 +100,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       {
         timeout: 40000,
         responseType: isStream ? 'stream' : 'json',
-        httpsAgent: httpsAgent(true)
+        ...axiosConfig
       }
     );
 

src/pages/api/openapi/chat/lafGpt.ts

@@ -2,7 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase, Model } from '@/service/mongo';
 import { getOpenAIApi } from '@/service/utils/auth';
 import { authOpenApiKey } from '@/service/utils/tools';
-import { httpsAgent, openaiChatFilter, systemPromptFilter } from '@/service/utils/tools';
+import { axiosConfig, openaiChatFilter, systemPromptFilter } from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
@@ -120,7 +120,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       },
       {
         timeout: 180000,
-        httpsAgent: httpsAgent(true)
+        ...axiosConfig
       }
     );
 
@@ -196,7 +196,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       {
         timeout: 180000,
         responseType: isStream ? 'stream' : 'json',
-        httpsAgent: httpsAgent(true)
+        ...axiosConfig
       }
     );
 

src/pages/api/openapi/chat/vectorGpt.ts

@@ -1,12 +1,11 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase, Model } from '@/service/mongo';
 import {
-  httpsAgent,
+  axiosConfig,
   systemPromptFilter,
   authOpenApiKey,
   openaiChatFilter
 } from '@/service/utils/tools';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
@@ -172,7 +171,7 @@ ${
       {
         timeout: 180000,
         responseType: isStream ? 'stream' : 'json',
-        httpsAgent: httpsAgent(true)
+        ...axiosConfig
       }
     );
 

src/pages/model/detail/components/InputDataModal.tsx

@@ -119,31 +119,27 @@ const InputDataModal = ({
           pb={2}
         >
           <Box flex={2} mr={[0, 4]} mb={[4, 0]} h={['230px', '100%']}>
-            <Box h={'30px'}>问题</Box>
+            <Box h={'30px'}>{'匹配的知识点'}</Box>
             <Textarea
-              placeholder={
+              placeholder={'匹配的知识点。这部分内容会被搜索，请把控内容的质量。最多 1000 字。'}
-                '相关问题，可以输入多个问法, 最多 1000 字。例如：\n1. laf 是什么？\n2. laf 可以做什么？\n3. laf怎么用'
+              maxLength={2000}
-              }
-              maxLength={1000}
               resize={'none'}
               h={'calc(100% - 30px)'}
               {...register(`q`, {
-                required: '相关问题，可以回车输入多个问法'
+                required: true
               })}
             />
           </Box>
           <Box flex={3} h={['330px', '100%']}>
-            <Box h={'30px'}>知识点</Box>
+            <Box h={'30px'}>补充知识</Box>
             <Textarea
               placeholder={
-                '知识点，最多 2000 字。例如：\n1. laf是一个云函数开发平台。\n2. laf 什么都能做。\n3. 下面是使用 laf 的例子: ……'
+                '补充知识。这部分内容不会被搜索，但会作为"匹配的知识点"的内容补充，你可以讲一些细节的内容填写在这里。最多 2000 字。'
               }
               maxLength={2000}
               resize={'none'}
               h={'calc(100% - 30px)'}
-              {...register(`a`, {
+              {...register('a')}
-                required: '知识点'
-              })}
             />
           </Box>
         </Box>

src/pages/model/detail/components/ModelDataCard.tsx

@@ -204,8 +204,8 @@ const ModelDataCard = ({ modelId }: { modelId: string }) => {
           <Table variant={'simple'} w={'100%'}>
             <Thead>
               <Tr>
-                <Th>{'匹配内容(问题)'}</Th>
+                <Th>{'匹配的知识点'}</Th>
-                <Th>对应答案</Th>
+                <Th>补充知识</Th>
                 <Th>状态</Th>
                 <Th>操作</Th>
               </Tr>

src/service/events/generateAbstract.ts

@@ -1,6 +1,6 @@
 import { DataItem } from '@/service/mongo';
 import { getOpenAIApi } from '@/service/utils/auth';
-import { httpsAgent } from '@/service/utils/tools';
+import { axiosConfig } from '@/service/utils/tools';
 import { getOpenApiKey } from '../utils/openai';
 import type { ChatCompletionRequestMessage } from 'openai';
 import { DataItemSchema } from '@/types/mongoSchema';
@@ -80,8 +80,8 @@ export async function generateAbstract(next = false): Promise<any> {
         ]
       },
       {
-        timeout: 120000,
+        timeout: 180000,
-        httpsAgent: httpsAgent(!userApiKey)
+        ...axiosConfig
       }
     );
 

src/service/events/generateQA.ts

@@ -1,6 +1,6 @@
 import { SplitData } from '@/service/mongo';
 import { getOpenAIApi } from '@/service/utils/auth';
-import { httpsAgent } from '@/service/utils/tools';
+import { axiosConfig } from '@/service/utils/tools';
 import { getOpenApiKey } from '../utils/openai';
 import type { ChatCompletionRequestMessage } from 'openai';
 import { ChatModelEnum } from '@/constants/model';
@@ -97,7 +97,7 @@ A2:
             },
             {
               timeout: 180000,
-              httpsAgent: httpsAgent(!userApiKey)
+              ...axiosConfig
             }
           )
           .then((res) => {

src/service/mongo.ts

@@ -31,21 +31,11 @@ export async function connectToDatabase(): Promise<void> {
   generateVector(true);
 
   // 创建代理对象
-  if (
+  if (process.env.AXIOS_PROXY_HOST && process.env.AXIOS_PROXY_PORT) {
-    process.env.AXIOS_PROXY_HOST &&
+    global.httpsAgent = tunnel.httpsOverHttp({
-    process.env.AXIOS_PROXY_PORT_FAST &&
-    process.env.AXIOS_PROXY_PORT_NORMAL
-  ) {
-    global.httpsAgentFast = tunnel.httpsOverHttp({
       proxy: {
         host: process.env.AXIOS_PROXY_HOST,
-        port: +process.env.AXIOS_PROXY_PORT_FAST
+        port: +process.env.AXIOS_PROXY_PORT
-      }
-    });
-    global.httpsAgentNormal = tunnel.httpsOverHttp({
-      proxy: {
-        host: process.env.AXIOS_PROXY_HOST,
-        port: +process.env.AXIOS_PROXY_PORT_NORMAL
       }
     });
   }

src/service/utils/auth.ts

@@ -8,7 +8,8 @@ import mongoose from 'mongoose';
 
 export const getOpenAIApi = (apiKey: string) => {
   const configuration = new Configuration({
-    apiKey
+    apiKey,
+    basePath: process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1'
   });
 
   return new OpenAIApi(configuration, undefined);

src/service/utils/openai.ts

@@ -2,7 +2,7 @@ import type { NextApiResponse } from 'next';
 import type { PassThrough } from 'stream';
 import { createParser, ParsedEvent, ReconnectInterval } from 'eventsource-parser';
 import { getOpenAIApi } from '@/service/utils/auth';
-import { httpsAgent } from './tools';
+import { axiosConfig } from './tools';
 import { User } from '../models/user';
 import { formatPrice } from '@/utils/user';
 import { embeddingModel } from '@/constants/model';
@@ -85,7 +85,7 @@ export const openaiCreateEmbedding = async ({
       },
       {
         timeout: 60000,
-        httpsAgent: httpsAgent(isPay)
+        ...axiosConfig
       }
     )
     .then((res) => ({

src/service/utils/tools.ts

@@ -84,9 +84,10 @@ export const authOpenApiKey = async (req: NextApiRequest) => {
   }
 };
 
-/* 代理 */
+/* openai axios config */
-export const httpsAgent = (fast: boolean) =>
+export const axiosConfig = {
-  fast ? global.httpsAgentFast : global.httpsAgentNormal;
+  httpsAgent: global.httpsAgent
+};
 
 /* delete invalid symbol */
 const simplifyStr = (str: string) =>

src/types/index.d.ts

@@ -11,8 +11,7 @@ declare global {
   var generatingAbstract: boolean;
   var generatingVector: boolean;
   var QRCode: any;
-  var httpsAgentFast: Agent;
+  var httpsAgent: Agent;
-  var httpsAgentNormal: Agent;
 
   interface Window {
     ['pdfjs-dist/build/pdf']: any;