How can i add two line breaks(\n\n) at the start of every message response recieved from openai under the resume category?
Code:
const fs = require("fs");
const { Configuration, OpenAIApi } = require("openai");
let Chatgpt = {};

const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
});

const openai = new OpenAIApi(configuration);

function sleep(ms) {
  return new Promise((resolve) => {
    setTimeout(resolve, ms);
  });
}

Chatgpt.botreplyfirst = async(req, res) => {

  return new Promise(async (resolve, reject) => {

  if(!category_key){
    reject("category_key required");
      return;
  }
  let userId = req.authUser ? req.authUser.userId : 0;
    if (!userId) {
      reject("login required");
      return;
    }


  let userdata = await UserModel.findOne({ _id: userId }).lean().exec();    
  let categorydata = await CategoryModel.findOne({ categorykey: category_key }).lean().exec();    
  
  if(category_key == 'social_media'){
    promtmessage = 'someprompt'
  }
  if(category_key == 'email'){

    promtmessage = `someprompt`
     
  if(category_key == 'messages'){
    promtmessage = `someprompt`
  }  
  if(category_key == 'general'){
    promtmessage = 'someprompt'
  }
  if(category_key == 'meeting_minute'){
    promtmessage = 'someprompt'
  }
  if(category_key == 'resume'){
    promtmessage = `someprompt`
  }
  if(category_key == 'report'){
    promtmessage = 'someprompt'
  }
  
  if(userdata.promptToken != undefined){
    promtvalue = userdata.promptToken 
  }

      const response = await openai.createChatCompletion({
        model: "gpt-3.5-turbo",
        messages: [{"role": "system", "content": "You are a helpful assistant your name is tamara."}, {role: "user", content: promtmessage}],
      });
      console.log("promtmessage:-",response)
      await UserModel.findOneAndUpdate(
        { _id: userId },
        {
          $set: {
            promptToken:response.data.usage.prompt_tokens+promtvalue,
            updatedAt: new Date()
          }
        },
        { new: true },
      );
    let findCase={user_id:userId};
    let historydataresp = await HistoryModel.find(findCase).sort({_id:-1}).limit(2)
    let chatgpt = historydataresp[0]
    let user = historydataresp[1]

    } 
  });
};

Chatgpt.botreply = (req, res) => {
  return new Promise(async (resolve, reject) => {
    try {
      const response = await openai.createChatCompletion({
        model: "gpt-3.5-turbo",
        messages: [{"role": "system", "content": "You are a helpful assistant your name is tamara."}, {role: "user", content: req.body.message}],
      });
      resolve(response.data.choices[0].text)
    } catch(error) {
      // Consider adjusting the error handling logic for your use case
      if (error.response) {
        console.error(error.response.status, error.response.data);
        reject(error.response)
      } else {
        console.error(`Error with OpenAI API request: ${error.message}`);
        reject('An error occurred during your request.')
      }
    }
  });
};

Chatgpt.categories = (req) => {
  return new Promise((resolve, reject) => {
    let findCase={visibility:true};

    CategoryModel.find(findCase, function (err, response) {
      if (err) {

        reject(err);
      } else {

        if (response.length > 0) {
          resolve(response)
        }else{
          reject("not found!!")
        }
      }
     });
  });
};