Upgrade to gpt-3.5-turbo

functions.js

@@ -22,20 +22,8 @@ const Discord = require('discord.js');
 const FuzzySearch = require('fuzzy-search');
 
 // OpenAI
-const { Configuration, OpenAIApi } = require("openai");
-
-const configuration = new Configuration({
-	apiKey: process.env.OPENAI_API_KEY,
-});
-const openai = new OpenAIApi(configuration);
-async function openAIStatus(o) {
-	const response = await o.listModels();
-	const models = response.data.data;
-	models.forEach(e => {
-		console.log(`Model ID: ${e.id}`);
-	});
-};
-openAIStatus(openai);
+const OpenAI = require("openai");
+const openai = new OpenAI();
 
 // Various imports from other files
 const config = require('./config.json');
@@ -379,9 +367,9 @@ const functions = {
 		},
 		gpt(prompt, response, usage) {
 			const gptEmbed = new Discord.MessageEmbed()
-				.setAuthor({ name: "NodBot powered by GPT-3", iconURL: "https://assets.vfsh.dev/openai-logos/PNGs/openai-logomark.png" })
+				.setAuthor({ name: "NodBot powered by GPT-3.5", iconURL: "https://assets.vfsh.dev/openai-logos/PNGs/openai-logomark.png" })
 				.setDescription(`**Prompt**\n${prompt}\n\n**Response**\n${response}`)
-				.setFooter({ text: `This prompt used ${usage.tokens} tokens for a cost of ${usage.usdc}¢` })
+				.setFooter({ text: `This prompt used ${usage.tokens} tokens for a cost of ${usage.usdc}¢. Generated using ${strings.ai.chatModel}` })
 			return { embeds: [gptEmbed] };
 		},
 		generatingResponse() {
@@ -570,16 +558,17 @@ const functions = {
 	openAI: {
 		chatPrompt(userPrompt) {
 			return new Promise(async (resolve, reject) => {
-				const response = await openai.createCompletion({
-					model: 'text-davinci-003',
-					prompt: userPrompt,
-					temperature: 0.7,
-					max_tokens: 250
+				const response = await openai.chat.completions.create({
+					messages: [{
+						role: 'user',
+						content: userPrompt
+					}],
+					model: strings.ai.chatModel
 				}).catch(e => {
 					reject(e);
 					return null;
 				});
-				resolve(response.data);
+				resolve(response);
 			});
 		},
 		imagePrompt(userPrompt, size, userId) {

package.json

@@ -12,7 +12,7 @@
     "dotenv": "^10.0.0",
     "fuzzy-search": "^3.2.1",
     "mysql": "^2.18.1",
-    "openai": "^3.2.1",
+    "openai": "^4.12.0",
     "tenorjs": "^1.0.10"
   },
   "engines": {

slash-commands/chat.js

@@ -1,5 +1,6 @@
 const { SlashCommandBuilder } = require('@discordjs/builders');
 const fn = require('../functions.js');
+const strings = require('../strings.json');
 
 module.exports = {
 	data: new SlashCommandBuilder()
@@ -15,13 +16,14 @@ module.exports = {
 		await interaction.editReply(fn.embeds.generatingResponse());
 		const userPrompt = interaction.options.getString("prompt");
 		const response = await fn.openAI.chatPrompt(userPrompt).catch(e => console.error(e));
-		const responseText = response.choices[0].text;
+		const responseText = response.choices[0].message.content;
 		const usage = {
 			tokens: response.usage.total_tokens,
-			usdc: response.usage.total_tokens * ( 0.2 / 1000 ) // 0.2¢ per 1000 tokens or 0.0002¢ per token.
+			usdc: (response.usage.prompt_tokens * (strings.ai.chatPromptCentsPer / strings.ai.chatPromptUnits)) + 
+				(response.usage.completion_tokens * (strings.ai.chatResCentsPer / strings.ai.chatResUnits))
 		};
 		const gptEmbed = fn.embeds.gpt(userPrompt, responseText, usage);
 		await interaction.editReply(gptEmbed);
-		fn.upload.openai(interaction.user.id, userPrompt, "gpt-3.5-turbo", usage.tokens, usage.usdc);
+		fn.upload.openai(interaction.user.id, userPrompt, strings.ai.chatModel, usage.tokens, usage.usdc);
 	},
 };

strings.json

@@ -32,5 +32,12 @@
 			"1024x1024": 2.0
 		}
 	},
+	"ai": {
+		"chatModel": "gpt-3.5-turbo",
+		"chatPromptCentsPer": 0.15,
+		"chatPromptUnits": 1000,
+		"chatResCentsPer": 0.2,
+		"chatResUnits": 1000
+	},
 	"temp": {}
 }