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    <meta charset="utf-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1" />
    <title>OpenAI Realtime API Voice Agent</title>
    <style>
      :root {

const NR_TYPE = "near_field";
const INSTRUCTIONS = `
  Greet the user in English and tell them that they're using the OpenAI Realtime API, powered by the {{model}} model.
  Give them a very brief summary of the benefits of the Realtime API based on the headline below,
  and then ask if they have any questions.
  - higher audio quality
  - improved handling of alphanumerics (eg, properly understanding credit card and phone numbers)
  - support for the OpenAI Prompts API
  - support for MCP-based tools
  - auto-truncation to reduce context size

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" },

const NR_TYPE = "near_field";
const INSTRUCTIONS = `
  Greet the user in English and tell them that they're using the OpenAI Realtime API, powered by the {{model}} model.
  Give them a very brief summary of the benefits of the Realtime API based on the headline below,
  and then ask if they have any questions.
  - higher audio quality
  - improved handling of alphanumerics (eg, properly understanding credit card and phone numbers)
  - support for the OpenAI Prompts API
  - support for MCP-based tools
  - auto-truncation to reduce context size

// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- AI BEHAVIORAL GUIDELINES ---
async function handleApiDispatch(req: Request): Promise<Response> {
  try {
    const openai = new OpenAI();
    const body = await req.json();
    }`;
    const completion = await openai.chat.completions.create({
      model: "gpt-4o", // Using a powerful model for complex logic
      messages: [

// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- AI BEHAVIORAL GUIDELINES ---
  if (req.method === "POST" && action === "getDispatchPlan") {
    try {
      const openai = new OpenAI();
      const ctx = await req.json();
      const userMessage = "Generate dispatch plan for: " + JSON.stringify(ctx);
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [

import { OpenAI } from "https://esm.town/v/std/openai";
import { StoryOptions, generateCuteAnimalName } from "../../shared/types.ts";
const openai = new OpenAI();
export async function generateStory(options: StoryOptions): Promise<{ title: string; content: string; animalName: string }> {
  `;
  // Generate the story using OpenAI
  const completion = await openai.chat.completions.create({
    messages: [
      { role: "system", content: "You are a creative children's storyteller who creates engaging, age-appropriate bedtime stories." },

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" },

// @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}`);
    }