Search

3,261 results found for β€œopenai” (1100ms)

Code
3,166

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
sip.post("/", async (c) => {
// Verify the webhook.
const OPENAI_SIGNING_SECRET = Deno.env.get("OPENAI_SIGNING_SECRET");
if (!OPENAI_SIGNING_SECRET) {
console.error("πŸ”΄ 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;
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- AI BEHAVIORAL GUIDELINES ---
// --- BACKEND LOGIC ---
const MAX_DEPTH = 3; // Prevent overly deep recursion and high costs.
const openai = new OpenAI();
interface Prerequisite {
try {
const completion = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
import { createOrUpdateFile } from "./api/create-notes-issues.ts";
import { OpenAI } from "https://esm.sh/openai@5.20.1";
import { getIssue, readFileContent } from "./api/index.tsx";
import {
async function getAiSummary(commentBody: string): Promise<string> {
const openai = new OpenAI({
apiKey: Deno.env.get("OPENAI_API_KEY"),
});
const response = await openai.responses.create({
prompt: {
"id": "pmpt_68c477e0df8081908a417a427ab285480d8eef1252f514eb",
know/vitals/main.ts
10 matches
import { Hono } from "npm:hono@4.4.12";
import { z } from "npm:zod@3.23.8";
import { OpenAI } from "https://esm.town/v/std/openai";
// --- Input and Output Schema Definitions ---
});
// Defines the comprehensive JSON structure from the OpenAI API.
const AIResponseSchema = z.object({
analysis: z.string(),
<footer>
rl}" style="color:var(--accent-color-1)">Val Town</a> and OpenAI</p>
</footer>
</div>
const app = new Hono();
// Middleware to ensure OpenAI client is initialized
const initMiddleware = (c, next) => {
if (!c.get("openai")) {
c.set("openai", new OpenAI());
}
return next();
const { symptoms, demographics } = validation.data;
const openai = c.get("openai");
try {
const completion = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
const { topic, message } = validation.data;
const openai = c.get("openai");
const CHAT_SYSTEM_PROMPT = `
try {
const completion = await openai.chat.completions.create({
model: "gpt-4o-mini", // Use a faster model for chat
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" },
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" },
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" },
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- AI BEHAVIORAL GUIDELINES ---
}
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- TYPE DEFINITIONS ---
if (req.method === "POST") {
try {
const openai = new OpenAI();
const body = await req.json();
let prompt = "";
}
const completion = await openai.chat.completions.create({
model: "gpt-4o",
messages: [