const Discord = require('discord.js'); const openAI = require('openai'); const chalk = require('chalk'); const fs = require('node:fs'); const func = require('../../utils/functions'); const settings = require('../../utils/settings'); const config = require('../../configs/config.json'); module.exports = { data: new Discord.SlashCommandBuilder() .setName("optimize") .setDescription("Optimizes your imaginations to get better response with draw!") .addStringOption(option => option .setName("prompt") .setDescription("What is your imagine?") .setRequired(true) ) .addStringOption(option => option .setName('ephemeral') .setDescription('Hides the bot\'s reply from others. (Default: Disable)') .addChoices( { name: 'Enable', value: 'Enable' }, { name: 'Disable', value: 'Disable' } ) ), async execute(client, interaction) { const ephemeralChoice = interaction.options.getString('ephemeral'); const ephemeral = ephemeralChoice === 'Enable' ? true : false; await interaction.deferReply({ ephemeral: ephemeral }); const openai = new openAI.OpenAI({ apiKey: config.OpenAIapiKey }); const question = interaction.options.getString("prompt"); const optimizerPrompt = fs.readFileSync("./utils/prompts/optimizer.txt", "utf-8"); const prompt = optimizerPrompt + question + "."; const messages = [{ "role": 'user', "content": prompt }]; openai.chat.completions.create({ model: 'gpt-3.5-turbo', messages: messages, max_tokens: func.tokenizer('gpt-3.5', messages).maxTokens, temperature: settings.optimzer.temprature, top_p: settings.optimzer.top_p, frequency_penalty: settings.optimzer.frequency_penalty, presence_penalty: settings.optimzer.presence_penalty }).then(async (response) => { const answer = response.choices[0].message.content .replace("Optimized Prompt:", "") .replace("Optimized prompt:", "") .replace("Optimized Output:", "") .replace("Optimized output:", "") .replace("Output:", "") .replace("output:", ""); const usage = response.usage; if (answer.length <= 4096) { const embed = new Discord.EmbedBuilder() .setColor(config.MainColor) .setAuthor({ name: question.length > 256 ? question.substring(0, 253) + "..." : question, iconURL: interaction.user.displayAvatarURL() }) .setDescription(answer) .setFooter({ text: `Costs ${func.pricing('gpt-3.5', usage.total_tokens)}`, iconURL: client.user.displayAvatarURL() }); await interaction.editReply({ embeds: [embed] }); } else { const attachment = new Discord.AttachmentBuilder( Buffer.from(`${question}\n\n${answer}`, 'utf-8'), { name: 'response.txt' } ); await interaction.editReply({ files: [attachment] }); }; }).catch(async (error) => { console.error(chalk.bold.redBright(error)); if (error.response) { const embed = new Discord.EmbedBuilder() .setColor(config.ErrorColor) .setAuthor({ name: question.length > 256 ? question.substring(0, 253) + "..." : question, iconURL: interaction.user.displayAvatarURL() }) .setDescription(error.response.error.message.length > 4096 ? error.response.error.message.substring(0, 4093) + "..." : error.response.error.message); await interaction.editReply({ embeds: [embed] }).catch(() => null); } else if (error.message) { const embed = new Discord.EmbedBuilder() .setColor(config.ErrorColor) .setAuthor({ name: question.length > 256 ? question.substring(0, 253) + "..." : question, iconURL: interaction.user.displayAvatarURL() }) .setDescription(error.message.length > 4096 ? error.message.substring(0, 4093) + "..." : error.message); await interaction.editReply({ embeds: [embed] }).catch(() => null); }; }); }, };