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3,171

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",

eneyeitech/fmrepex/main.tsx

3 matches


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

Tade/Spark/main.tsx

5 matches

import { OpenAI } from "https://esm.town/v/std/openai";
// Telegram Bot Token - you would replace this with your actual bot token
const TELEGRAM_API_URL = `https://api.telegram.org/bot${TELEGRAM_BOT_TOKEN}`;
// OpenAI for generating research insights
const openai = new OpenAI();
// Helper function to send Telegram message
async function processResearchRequest(text: string) {
  try {
    const completion = await openai.chat.completions.create({
      messages: [
        { 
    return completion.choices[0].message.content || "I couldn't generate a response.";
  } catch (error) {
    console.error("OpenAI Error:", error);
    return "Sorry, there was an error processing your research request.";
  }

amrhucien/AIContentHashtagsGenerator/main.tsx

3 matches

  if (request.method === "POST") {
    try {
      const { OpenAI } = await import("https://esm.town/v/std/openai");
      const openai = new OpenAI();
      const { topic } = await request.json();
      const completion = await openai.chat.completions.create({
        messages: [
          {

amrhucien/daringPlumOctopus/main.tsx

3 matches

  if (request.method === "POST") {
    try {
      const { OpenAI } = await import("https://esm.town/v/std/openai");
      const openai = new OpenAI();
      const { topic } = await request.json();
      const completion = await openai.chat.completions.create({
        messages: [
          {

amrhucien/content_idea_hashtag_generator/main.tsx

3 matches

  if (request.method === "POST") {
    try {
      const { OpenAI } = await import("https://esm.town/v/std/openai");
      const openai = new OpenAI();
      const { topic } = await request.json();
      const completion = await openai.chat.completions.create({
        messages: [
          {

kamorudeenalo/simpleSearchPage/main.tsx

3 matches

export default async function server(request: Request): Promise<Response> {
  if (request.method === "POST") {
    const { OpenAI } = await import("https://esm.town/v/std/openai");
    const openai = new OpenAI();
    try {
      const { query } = await request.json();
      const completion = await openai.chat.completions.create({
        messages: [
          {

shirahh/My_Scheduler/main.tsx

3 matches

export default async function server(request: Request): Promise<Response> {
  const { sqlite } = await import("https://esm.town/v/stevekrouse/sqlite");
  const { OpenAI } = await import("https://esm.town/v/std/openai");
  const openai = new OpenAI();
  const KEY = "My_Scheduler";
    const taskList = tasks.rows.map(t => `${t.task} (${t.duration} mins, ${t.priority} priority)`).join(", ");
    const suggestion = await openai.chat.completions.create({
      messages: [
        {

Anuoluwapo/greatTealTiglon/main.tsx

3 matches

import { email } from "https://esm.town/v/std/email";
import { OpenAI } from "https://esm.town/v/std/openai";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
export default async function (e: Email) {
  const openai = new OpenAI();
  // Ensure we have text content to analyze
  try {
    // Use GPT to draft an intelligent reply
    const completion = await openai.chat.completions.create({
      messages: [
        {

abas/C_s/main.tsx

3 matches


    try {
      const { OpenAI } = await import("https://esm.town/v/std/openai");
      const openai = new OpenAI();
      const systemPrompt = `
      `;
      const aiCompletion = await openai.chat.completions.create({
        messages: [
          { role: "system", content: systemPrompt },