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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" },

import { OpenAI } from "https://esm.town/v/std/openai";
export default async function(req: Request): Promise<Response> {
          object: "model",
          created: 1677610602,
          owned_by: "openai",
        },
        // --- 用户指定的未来/占位模型 ---
  // 3. 正常对话逻辑
  // 只有在不是请求模型列表时，才初始化 OpenAI，避免缺少 Key 导致报错
  const openai = new OpenAI(); 
  let body;
  try {
    const completion = await openai.chat.completions.create(body);
    // 非流式响应

import { OpenAI } from "https://esm.town/v/std/openai";
export default async function(req: Request): Promise<Response> {
  // 初始化 OpenAI 客户端 (自动使用 Val Town 的 std key 或你配置的 ENV key)
  const openai = new OpenAI();
  // 我们想要测试的模型列表
    try {
      const start = Date.now();
      const completion = await openai.chat.completions.create({
        messages: [{ role: "user", content: "Reply with the model name only." }],
        model: model,

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" },

import { OpenAI } from "https://esm.sh/openai@5.20.1";
import { getIssue, readFileContent } from "./api/index.tsx";
import {
async function getAiSummary(commentBody: string): Promise<string> {
  const openai = new OpenAI({
    apiKey: Deno.env.get("OPENAI_API_KEY"),
  });
  const response = await openai.responses.create({
    prompt: {
      "id": "pmpt_68c477e0df8081908a417a427ab285480d8eef1252f514eb",

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { blob } from "https://esm.town/v/std/blob?v=11";
import { nanoid } from "npm:nanoid";
  parentId: string | null,
) {
  const openai = new OpenAI();
  const layer = LAYERS[depth] || LAYERS[LAYERS.length - 1];
  `;
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [

// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- AI BEHAVIORAL GUIDELINES ---
  if (req.method === "POST" && action === "generateMission") {
    try {
      const openai = new OpenAI();
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [{ role: "system", content: MISSION_PROMPT }],

    snippet_en: "The end of junior developers?",
    content:
      "OpenAI prépare une mise à jour majeure avec plus de capacités de raisonnement et d'automatisation. On explore ce que l'IA fait très bien, ce qu'elle fait encore très mal et pourquoi comprendre ses limites est essentiel pour l'utiliser de manière responsable.",
    content_en:
      "OpenAI is preparing a major update with stronger reasoning and automation abilities. We explore what AI already does very well, what it still does poorly, and why understanding its limits is essential if you want to use it responsibly.",
  },
  {

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { blob } from "https://esm.town/v/std/blob?v=11";
      if (!agent) throw new Error("Agent not found");
      const openai = new OpenAI();
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [
      const agent = Object.values(AGENT_PERSONAS).find((a) => a.id === agentId);
      const openai = new OpenAI();
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { blob } from "https://esm.town/v/std/blob?v=11";
import { nanoid } from "npm:nanoid";
async function runArchitect(textSample: string) {
  const openai = new OpenAI();
  const prompt = `
    Input Text: "${textSample.substring(0, 1000)}..."
  `;
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [
async function runAgent(agent: any, text: string, jobId: string) {
  const openai = new OpenAI();
  await updateJob(jobId, {
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [