Search

// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { Hono } from "npm:hono@4.4.12";
            </button>
        </form>
        <p class="text-sm text-gray-500 mt-6">Powered by Val Town & OpenAI</p>
    </div>
    <div id="start-overlay" class="fixed inset-0 bg-gray-900/80 backdrop-blur-sm z-20 flex flex-col justify-center items-center text-center p-8 opacity-0 pointer-events-none transition-opacity duration-500">
    }
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
    }
  } catch (error) {
    console.error("OpenAI API Error:", error);
    return c.json({
      error: "An error occurred while communicating with the AI designer.",

    }
    const response = await fetch("https://api.openai.com/v1/chat/completions", {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
      },
      body: JSON.stringify({
    if (!response.ok) {
      throw new Error(`OpenAI API error: ${response.status}`);
    }

    }
    const response = await fetch("https://api.openai.com/v1/chat/completions", {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
      },
      body: JSON.stringify({
    if (!response.ok) {
      throw new Error(`OpenAI API error: ${response.status}`);
    }

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" },

_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" },

**AI enrichment, browser automation:**
- [std/openai: Prompt an OpenAI model](/reference/std/openai)
- [Clay: Enrich user data with Clay](https://blog.val.town/clay)
- [Browserbase: Search the web with Browserbase](/guides/browser-automation/browserbase/)

// @description: Intelligently scaffolds new Val Town projects from a string, with a helpful UI and debug console.
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- Frontend UI Generation ---
  content: string,
): Promise<{ projectName: string; projectDescription: string }> {
  const openai = new OpenAI();
  const prompt =
    `You are an expert software architect. Analyze the following file paths and code snippets. Based on the content, generate: 1. A concise, descriptive, and URL-safe project name in kebab-case. 2. A one-sentence description of the project's purpose. Respond ONLY with a single, minified JSON object with these exact keys: "projectName" and "projectDescription". Input Content: \`\`\`${content}\`\`\``;
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: prompt }],
    };
  } catch (error) {
    console.error("OpenAI call failed:", error);
    return {
      projectName: `fallback-project-${Date.now()}`,

import { slack } from "./slack.ts";
import { Hono } from "npm:hono";
import { icp } from "./openai.ts";
const app = new Hono();

import { OpenAI } from "https://esm.town/v/std/openai";
import { z } from "npm:zod@3.23.8";
import { zodResponseFormat } from "npm:openai@5.12.2/helpers/zod";
const openai = new OpenAI();
const ICPResult = z.object({
  }];
  const resp = await openai.chat.completions.parse({
    model: "gpt-5-mini",
    messages,

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