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// @ts-ignoreimport { 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```tsimport { 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("š“ 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("š“ 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 callingserver-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 session2. **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
// @ts-ignoreimport { 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-ignoreimport { 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 create a fresh table.### OpenAI```tsimport { 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" },
reconsumeralization
import { OpenAI } from "https://esm.town/v/std/openai";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
/**
* Practical Implementation of Collective Content Intelligence
* Bridging advanced AI with collaborative content creation
*/
exp
kwhinnery_openai
lost1991
import { OpenAI } from "https://esm.town/v/std/openai";
export default async function(req: Request): Promise<Response> {
if (req.method === "OPTIONS") {
return new Response(null, {
headers: {
"Access-Control-Allow-Origin": "*",
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