openAi.js

const { encode } = require("gpt-3-encoder");
const langdetect = require("langdetect");

function countTokens(text) {
  const tokens = encode(text);
  return tokens.length;
}

async function getChatCompletion(message) {
  const url = "https://api.openai.com/v1/chat/completions";
  const headers = {
    "Content-Type": "application/json",
    Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
  };

  const data = {
    model: "gpt-3.5-turbo",
    messages: [
      { role: "system", content: process.env.SYSTEM_PROMPT },
      ...message,
    ],
  };

  try {
    const tokens = countTokens(
      data.messages.reduce((final, current) => {
        return final + current.content;
      }, ""),
    );

    if (tokens > 3000) {
      if (message.length > 1) {
        return "Sorry, I can't respond anymore in this thread. 🙅‍♂️ Please start a new thread to begin a fresh conversation. 🌟💬";
      }

      return '📝 "Oops, message too long! Can you be briefer, please? 😅"';
    }

    const response = await fetch(url, {
      method: "POST",
      headers,
      body: JSON.stringify(data),
    });

    const json = await response.json();
    const chatgptResponse = json?.choices?.[0].message?.content;
    return { lang: langdetect.detectOne(chatgptResponse), chatgptResponse };
  } catch (error) {
    console.error("Error:", error.message);
    return null;
  }
}
module.exports = { getChatCompletion, countTokens };