Search

_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";
// @ts-ignore
import { Hono } from "npm:hono@4.4.12";
  wizardState.rawRequirements = rawRequirements;
  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 ---
  const action = url.searchParams.get("action");
  const openai = new OpenAI();
  if (req.method === "POST") {
            throw new Error("Invalid 'goal' provided.");
          }
          const completion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [
            throw new Error("Invalid 'tasks' array provided.");
          }
          const completion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [

```
### OpenAI
Do not use val.town std library, import from https://esm.town/v/cricks_unmixed4u/openai-client/main.tsx
TypeScript interface for interacting with OpenAI's chat models, with optional global rate limiting, and uses Val Town's SQLite for persistent rate limit tracking.
Key Components
Message Type: Defines the structure for chat messages (role and content).
ChatOpenAI(model: string): Factory function returning an object with an invoke(messages) method. This method sends an array of messages to the specified OpenAI chat model and returns the assistant's response.
GlobalRateLimitedChatOpenAI(model: string, requestsPerSecond: number): Decorator for ChatOpenAI that enforces a global rate limit (requests per second) using a persistent SQLite table.
GlobalRateLimiter: Class that implements the rate limiting logic. It checks the number of requests in the current time window and throws an error if the limit is exceeded. It uses a table (global_rate_limit_1) in Val Town's SQLite.
ensureGlobalRateLimitTableExists: Ensures the rate limit tracking table exists in the database at startup.
Usage
Use ChatOpenAI(model) for direct, unlimited access to OpenAI chat completions.
Use GlobalRateLimitedChatOpenAI(model, requestsPerSecond) to enforce a global rate limit on chat completions, suitable for shared or public-facing endpoints.
Val Town/Platform Notes
Uses Val Town’s standard SQLite API for persistent storage.
Designed for server-side use (no browser-specific code).
No secrets are hardcoded; OpenAI API keys are managed by the OpenAI SDK/environment.
### Email

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" },

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" },

        },
        {
          "slug": "portkey-openai-to-groq",
          "title": "portkey-openai-to-groq",
          "description": "Portkey is a control panel for AI apps that provides a unified API to connect to 150+ models, view metrics and logs, and implement features like semantic cache and automatic retries.",
          "image": null,
          "username": null,
          "avatarUrl": null,
          "github": "https://github.com/groq/groq-api-cookbook/tree/main/tutorials/portkey-openai-to-groq",
          "demo": null,
          "language": null,
          "date": null,
          "readmeSource": null,
          "ipynbLink": "https://github.com/groq/groq-api-cookbook/blob/main/tutorials/portkey-openai-to-groq/Switch_from_OpenAI_to_Groq.ipynb",
          "ctas": [
            {
              "icon": "mdi:github",
              "href": "https://github.com/groq/groq-api-cookbook/tree/main/tutorials/portkey-openai-to-groq"
            },
            {
              "icon": "mdi:notebook",
              "href": "https://github.com/groq/groq-api-cookbook/blob/main/tutorials/portkey-openai-to-groq/Switch_from_OpenAI_to_Groq.ipynb"
            }
          ],

import "jsr:@std/dotenv/load";
const GROQ_CHAT_URL = "https://api.groq.com/openai/v1/chat/completions";
function stripMarkdownAndHtml(input) {
  const content = stripMarkdownAndHtml(readmeText).slice(0, 12000);
  const body = {
    // model: "openai/gpt-oss-20b",
    model: "llama-3.1-8b-instant",
    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
```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" },

// It serves a minimal UI on GET and returns title suggestions on POST.
import { OpenAI } from "https://esm.town/v/std/openai"; // Val Town’s built-in OpenAI wrapper
const openai = new OpenAI();
export default async function (req: Request): Promise<Response> {
      `.trim();
      const completion = await openai.chat.completions.create({
        model: "gpt-5-nano",
        max_tokens: 400,
<body>
  <h1>PDF Title Suggester</h1>
  <p class="muted">Upload one or more PDFs. We extract a small text sample client-side and ask OpenAI for concise title ideas.</p>
  <div class="card">
    <form id="form">
    }
    statusEl.textContent = "Calling OpenAI…";
    try {