Search

  const question = decodeURIComponent(path.substring(1)).replaceAll("-", " ").trim();
  const json = await fetch("https://text.pollinations.ai/openai", {
    method: "POST",
    headers: {
    },
    body: JSON.stringify({
      model: "openai",
      messages: [
        {

  const question = "https://ask-ai.val.run/" + encodeURIComponent(rawQuestion.replaceAll(" ", "-"));
  const json = await fetch("https://text.pollinations.ai/openai", {
    method: "POST",
    headers: {
    },
    body: JSON.stringify({
      model: "openai",
      messages: [
        {

import { Hono } from "npm:hono@4.4.12";
// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- HIERARCHICAL DATABASE (Emptied as requested) ---
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: PROMPT_REFINER_SYSTEM_PROMPT }, { role: "user", content: userInput }],
  try {
    const openai = new OpenAI();
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: INPUT_EXTRACTOR_SYSTEM_PROMPT }, { role: "user", content: refined_prompt }],
  try {
    const openai = new OpenAI();
    const agentCompletion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
    }
    const latexCompletion = 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
```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" },

export const COMPETITORS = [
  {
    name: "OpenAI",
    url: "https://openai.com",
    description: "OpenAI homepage"
  },
  {

- [ ] Get OpenTownie or Gemini or Claude or OpenAI to synthesize the core of these patterns into a prompt we can use to make more ReactRouter apps, such as...
- [ ] Convert this or into the basic react router guest book (and preserve this forum app in another project?)
- [ ] To what extent can these patterns be packaged up into a Val Town Router project? Would be neat to get the version pinning thing all centralized, can this as-a-library be that centralized place?

_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" },

import { email } from "https://esm.town/v/std/email";
import { OpenAI } from "https://esm.town/v/std/openai";
export default async function (incomingEmail: Email) {
  try {
    const openai = new OpenAI();
    const emailContent = incomingEmail.text || incomingEmail.html ||
      "No content available";
    const completion = await openai.chat.completions.create({
      messages: [
        {

// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- AI BEHAVIORAL GUIDELINES ---
  <footer class="text-center mt-6 text-gray-500 text-sm">
    <p>Pestodon &copy; 2025. Powered by <a href="${sourceUrl}" class="text-blue-400 hover:underline" target="_blank">Val Town</a> & OpenAI.</p>
  </footer>
  if (req.method === "POST" && action === "enhanceNotes") {
    try {
      const openai = new OpenAI();
      const body = await req.json();
      }
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [