const { createEmbed } = require('../../../labscore/utils/embed') const { editOrReply } = require('../../../labscore/utils/message') const { canUseLimitedTestCommands, isLimitedTestUser } = require('../../../labscore/utils/testing') const { STATICS } = require('../../../labscore/utils/statics'); const superagent = require('superagent') const { iconPill, stringwrap, smallIconPill } = require('../../../labscore/utils/markdown') const { Permissions } = require("detritus-client/lib/constants"); const MODELS = { "chatgpt": { icon: STATICS.chatgpt, name: "ChatGPT", id: "CHATGPT", }, "gpt4": { icon: STATICS.openai, name: "GPT-4", id: "GPT4" }, "claude": { icon: STATICS.anthropic, name: "Claude", id: "CLAUDE" } } module.exports = { name: 'chat', label: 'text', aliases: ['openai','gpt','chatgpt'], metadata: { description: `${iconPill("generative_ai", "LIMITED TESTING")}\n${smallIconPill("reply", "Supports Replies")}\n\nTalk to ChatGPT.`, description_short: 'Talk to ChatGPT.', examples: ['chat How many otter species are there?'], category: 'limited', usage: 'chat [-prompt ]' }, args: [ { name: 'prompt', default: '', required: false, help: "The starting system prompt." }, { name: 'temperature', default: 0.5, required: false, help: "Model temperature." }, { name: 'model', default: 'CHATGPT', required: false, help: "The model to use. (Model cannot be changed for regular users)" }, ], permissionsClient: [Permissions.EMBED_LINKS, Permissions.SEND_MESSAGES, Permissions.ATTACH_FILES, Permissions.USE_EXTERNAL_EMOJIS, Permissions.READ_MESSAGE_HISTORY], run: async (context, args) => { if(!canUseLimitedTestCommands(context)) return; context.triggerTyping(); if(!args.text) return editOrReply(context, createEmbed("warning", context, `Missing Parameter (text).`)) let input = args.text; let prompt = `You are a friendly chat bot designed to help people.\n- Today\'s date is ${new Date().toLocaleDateString('en-us', { weekday:"long", year:"numeric", month:"long", day:"numeric"})}\n- You should always use gender neutral pronouns when possible.` if(args.prompt !== "") prompt = args.prompt // Get content if the user replies to anything if(context.message.messageReference) { let msg = await context.message.channel.fetchMessage(context.message.messageReference.messageId); if(msg.content && msg.content.length) input = msg.content else if(msg.embeds?.length) for(const e of msg.embeds) if(e[1].description?.length) { input = e[1].description; break; } prompt = args.text if(args.prompt !== "") return editOrReply(context, createEmbed("warning", context, `Prompt parameter is unsupported for message replies.`)) } let model = "CHATGPT" if(args.model && isLimitedTestUser(context.user)) model = args.model if(!MODELS[model.toLowerCase()]) return editOrReply(context, createEmbed("warning", context, `Invalid or unsupported model (${model}).`)) let temperature = "0.25" if(args.temperature !== 0.25) temperature = parseFloat(args.temperature) try{ await editOrReply(context, createEmbed("ai", context, "Generating response...")) let res = await superagent.post(`${process.env.AI_SERVER}/openai`) .set({ Authorization: process.env.AI_SERVER_KEY }) .send({ prompt, input: [input], temperature, model: MODELS[model.toLowerCase()].id }) let description = [] let files = []; if(!res.body.output) throw "Unable to generate response" if(res.body.output.length <= 4000) description.push(res.body.output) else { files.push({ filename: `chat.${Date.now().toString(36)}.txt`, value: Buffer.from(res.body.output) }) } return editOrReply(context, { embeds:[createEmbed("defaultNoFooter", context, { author: { iconUrl: MODELS[model.toLowerCase()].icon, name: stringwrap(args.text, 50, false) }, description: description.join('\n'), footer: { text: `${MODELS[model.toLowerCase()].name} • Generative AI is experimental. Response may be factually incorrect or biased.` } })], files }) }catch(e){ console.log(e) return editOrReply(context, createEmbed("error", context, `Unable to generate text.`)) } } };