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3,172

4 matches

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

ynonp/confidentWhiteOx/main.tsx

3 matches

import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    {

Learn/rousingBronzeMandrill/main.tsx

4 matches


  try {
    const { OpenAI } = await import("https://esm.town/v/std/openai");
    const openai = new OpenAI();
    const parseResponse = await openai.chat.completions.create({
      messages: [{ 
        role: "system", 
    const parsedQuery = parseResponse.choices[0].message.content || '';
    Logger.log('OpenAI parsed query', { parsedQuery });
    const [rootNode, context] = parsedQuery.split('|').map(s => s.trim());

Learn/EchoPrompter/main.tsx

9 matches

if (typeof document !== "undefined") { client(); }
export default async function server(request: Request): Promise<Response> {
  const { OpenAI } = await import("https://esm.town/v/std/openai");
  const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite");
  const openai = new OpenAI();
  // Use the val's URL as a unique key for database tables
      const echoPrompt = getEchoPrompt();
      const completion = await openai.chat.completions.create({
        messages: [
          {
      // First, generate the agent prompt
      const completion2 = await openai.chat.completions.create({
        messages: [
          {
      // Then, generate commands for the agent based on its purpose and description
      const commandsCompletion = await openai.chat.completions.create({
        messages: [
          {
      }
      // Format the history into OpenAI message format
      const messages = [
        {
      // Add conversation history if it exists
      if (history && history.length > 0) {
        // Filter out system messages and map to OpenAI format
        history.forEach(msg => {
          if (msg.role !== "system") {
      // Chat with the agent using the stored prompt and history
      const completion = await openai.chat.completions.create({
        messages: messages,
        model: "gpt-4o-mini",
      // Execute the command with the AI
      const completion = await openai.chat.completions.create({
        messages: messages,
        model: "gpt-4o-mini",

Nour112/Blindaccess/main.tsx

7 matches

import React, { useState, useEffect, useContext, createContext } from "https://esm.sh/react@18.2.0";
import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";
import { OpenAI } from "https://esm.town/v/std/openai";
// Accessibility Utilities
  const generateAIResponse = async (text) => {
    try {
      const openai = new OpenAI();
      const completion = await openai.chat.completions.create({
        messages: [
          { role: "system", content: "أنت مساعد ذكي مخصص للمكفوفين، مهمتك تقديم مساعدة شاملة وداعمة" },
        const imageData = canvas.toDataURL('image/jpeg');
        
        const openai = new OpenAI();
        const response = await openai.chat.completions.create({
          model: "gpt-4o-mini",
          messages: [
    try {
      const openai = new OpenAI();
      const routeResponse = await openai.chat.completions.create({
        model: "gpt-4o-mini",
        messages: [

dcm31/groqAudioChat/tts.ts

1 matches

    console.log("🔊 Sending request to Groq Speech API");
    const start = Date.now();
    const response = await fetch("https://api.groq.com/openai/v1/audio/speech", {
      method: "POST",
      headers: {

dcm31/groqAudioChat/chat.ts

1 matches

    console.log("🔵 Sending request to Groq API");
    const start = Date.now();
    const response = await fetch("https://api.groq.com/openai/v1/chat/completions", {
      method: "POST",
      headers: {

dcm31/groqAudioChat/audio.ts

1 matches

    console.log("🎤 Sending request to Groq Whisper API");
    const start = Date.now();
    const response = await fetch("https://api.groq.com/openai/v1/audio/transcriptions", {
      method: "POST",
      headers: {

Skeye/extractRecipeAI/main.tsx

3 matches


  app.post("/extract-recipe", async (c) => {
    const { OpenAI } = await import("https://esm.town/v/std/openai");
    const openai = new OpenAI();
    const formData = await c.req.formData();
    try {
      const response = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [

Bam031272/chatGPTClone/main.tsx

4 matches

  if (request.method === 'POST' && new URL(request.url).pathname === '/chat') {
    try {
      const { OpenAI } = await import("https://esm.town/v/std/openai");
      const openai = new OpenAI();
      
      const body = await request.json();
      const completion = await openai.chat.completions.create({
        messages: body.messages.map((msg: Message) => ({
          role: msg.role,
      });
    } catch (error) {
      console.error('OpenAI Error:', error);
      return new Response(JSON.stringify({ 
        message: 'Sorry, I encountered an error processing your request.'