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// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- TYPE DEFINITIONS ---
state: State,
options: { N?: number; T?: Exponents; preset?: "W1" | "W3" | "W5"; theme?: string },
openai: OpenAI,
): Promise<State> {
const s = clone(state);
if (theme) {
const completion = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
}
async function fire(state: State, openai: OpenAI): Promise<{ state: State; result: FireResult }>
if (!state.boss) throw new Error("No boss to fire at.");
const s = clone(state);
result: { ...resultCore, damageApprox: resultCore.damageFraction.approx },
};
const completion = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
}
const openai = new OpenAI();
const body = await req.json().catch(() => ({}));
if (!isObject(body) || !("action" in body)) {
payload.state,
{ N: payload.N, T: payload.T, preset: payload.preset, theme: payload.theme },
openai,
);
return ok({ state });
case "fire": {
if (!payload.state) return err("fire requires { state } with a boss present");
const { state, result } = await fire(payload.state, openai);
return ok({ state, result });
}
_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 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("šŸ”“ 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("šŸ”“ 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**:
<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 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
know/cars/main.ts
4 matches
// @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.");
}
import { z } from "npm:zod@3.23.8";
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- Input and Output Schema Definitions ---
});
// Defines the expected JSON structure from the OpenAI API.
// This allows us to validate the AI's output before using it.
const AIResponseSchema = z.object({
// --- Service Initialization ---
const app = new Hono();
const openai = new OpenAI();
// --- API Endpoints ---
try {
// 2. Request structured data from the OpenAI API.
const completion = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to cre
### 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" },
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