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const REALTIME_BASE_URL = "https://api.openai.com/v1/realtime";
const OPENAI_API_KEY = Deno.env.get("OPENAI_API_KEY");
if (!OPENAI_API_KEY) {
  throw new Error("🔴 OpenAI API key not configured");
}
export function makeHeaders(contentType?: string) {
  const obj: Record<string, string> = {
    Authorization: `Bearer ${OPENAI_API_KEY}`,
  };
  if (contentType) obj["Content-Type"] = contentType;

sip.post("/", async (c) => {
  // Verify the webhook.
  const OPENAI_SIGNING_SECRET = Deno.env.get("OPENAI_SIGNING_SECRET");
  if (!OPENAI_SIGNING_SECRET) {
    console.error("🔴 webhook secret not configured");
    return c.text("Internal error", 500);
  }
  const webhook = new Webhook(OPENAI_SIGNING_SECRET);
  const bodyStr = await c.req.text();
  let callId: string | undefined;

# hello-realtime
**Hello Realtime** is a OpenAI Realtime app that supports both WebRTC and SIP
(telephone) users. You can access the app via WebRTC at
[hello-realtime.val.run](https://hello-realtime.val.run), or via SIP by calling
server-side websocket interface.
If you remix the app, you'll just need to pop in your own `OPENAI_API_KEY` (from
[platform.openai.com](https://platform.openai.com)), and if you want SIP, the
`OPENAI_SIGNING_SECRET`.
## Architecture
   - Browser connects to frontend
   - creates WebRTC offer
   - `/rtc` endpoint handles SDP negotiation with OpenAI
   - observer established to monitor session
2. **SIP Flow**:

const MODEL = "gpt-realtime";
const INSTRUCTIONS = `
  Greet the user in English, and thank them for trying the new OpenAI Realtime API.
  Give them a brief summary based on the list below, and then ask if they have any questions.
  Answer questions using the information below. For questions outside this scope,
  - 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 ---
  if (req.method === "POST" && action === "getProblem") {
    try {
      const openai = new OpenAI();
      const body = await req.json();
      const level = typeof body.level === "number" ? body.level : 1;
      ];
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: messages,
      const content = completion.choices[0].message.content;
      if (!content) throw new Error("OpenAI returned an empty response.");
      const parsedContent = extractJson(content);

import { fetchText } from "https://esm.town/v/stevekrouse/fetchText?v=6";
import { OpenAI } from "https://esm.town/v/std/openai";
import type { EventData } from "./event.ts";
 *
 * - Use r.jina.ai to convert the webpage to clean markdown
 * - Supply the markdown to OpenAI using Val Town's client
 * - Prompt LLM for structured output (see EVENT_SCHEMA below)
 */
    }
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-5-nano",
      response_format: {

// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { Hono } from "npm:hono@4.4.12";
  lanes: number,
): Promise<ProblemSpec[]> {
  const openai = new OpenAI();
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [

<p><strong><a href="https://static.simonwillison.net/static/2025/llama-3.2-webgpu/">Load Llama-3.2 WebGPU in your browser from a local folder</a></strong> (<a href="https://news.ycombinator.com/item?id=45168953#45173297" title="My Hacker News comment">via</a>) Inspired by <a href="https://news.ycombinator.com/item?id=45168953#45169054">a comment</a> on Hacker News I decided to see if it was possible to modify the <a href="https://github.com/huggingface/transformers.js-examples/tree/main/llama-3.2-webgpu">transformers.js-examples/tree/main/llama-3.2-webgpu</a> Llama 3.2 chat demo (<a href="https://huggingface.co/spaces/webml-community/llama-3.2-webgpu">online here</a>, I <a href="https://simonwillison.net/2024/Sep/30/llama-32-webgpu/">wrote about it last November</a>) to add an option to open a local model file directly from a folder on disk, rather than waiting for it to download over the network.</p>
<p>I posed the problem to OpenAI's GPT-5-enabled Codex CLI like this:</p>
<pre><code>git clone https://github.com/huggingface/transformers.js-examples
cd transformers.js-examples/llama-3.2-webgpu

# hello-realtime
**Hello Realtime** is a OpenAI Realtime app that supports both WebRTC and SIP
(telephone) users. You can access the app via WebRTC at
[hello-realtime.val.run](https://hello-realtime.val.run), or via SIP by calling
server-side websocket interface.
If you remix the app, you'll just need to pop in your own `OPENAI_API_KEY` (from
[platform.openai.com](https://platform.openai.com)), and if you want SIP, the
`OPENAI_SIGNING_SECRET`.
## Architecture
   - Browser connects to frontend
   - creates WebRTC offer
   - `/rtc` endpoint handles SDP negotiation with OpenAI
   - observer established to monitor session
2. **SIP Flow**:

    .trim();
  const res = await fetch("https://text.pollinations.ai/openai", {
    method: "POST",
    headers: {