Search

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { blob } from "https://esm.town/v/std/blob?v=11";
import { nanoid } from "npm:nanoid";
async function runArchitect(textSample: string) {
  const openai = new OpenAI();
  const context = `
    DOCUMENT SAMPLE (First 3000 chars):
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o-mini", // Faster and sufficient for selection
      messages: [
async function runAgentAnalysis(agent: any, text: string) {
  const openai = new OpenAI();
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o-mini",
      messages: [
async function synthesizeReport(results: any[]) {
  const openai = new OpenAI();
  const validResults = results.filter((r) => r.success);
  const failedResults = results.filter((r) => !r.success);
        overall_risk_rating: "CRITICAL",
        executive_summary:
          `SYSTEM FAILURE: All agents failed to process the document.\n\nLogs:\n${errorLog}\n\nPlease check OpenAI API Keys and text extraction quality.`,
        document_id: "ERR",
      },
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: prompt }],

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// ==========================================
      if (!image) throw new Error("No image data");
      const openai = new OpenAI();
      // --- SYSTEM PROMPT ---
      const runAttempt = async (attemptNum) => {
        try {
          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
```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" },

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { blob } from "https://esm.town/v/std/blob?v=11";
import { nanoid } from "npm:nanoid";
async function distillTheStandard(text: string) {
  const openai = new OpenAI();
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { blob } from "https://esm.town/v/std/blob?v=11";
import { nanoid } from "npm:nanoid";
async function runAgentAnalysis(agent: any, text: string) {
  const openai = new OpenAI();
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o-mini",
      messages: [
async function synthesizeReport(results: any[]) {
  const openai = new OpenAI();
  const validResults = results.filter((r) => r.success);
  `;
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [{ role: "system", content: prompt }],

/** @jsxImportSource https://esm.sh/react@18.2.0 */
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
import { blob } from "https://esm.town/v/std/blob?v=11";
import { nanoid } from "npm:nanoid";
async function runArchitect(textSample: string) {
  const openai = new OpenAI();
  const context = `
    DOCUMENT SAMPLE (First 4000 chars):
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
async function runAgentAnalysis(agent: any, text: string) {
  const openai = new OpenAI();
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o-mini",
      messages: [
async function synthesizeReport(results: any[]) {
  const openai = new OpenAI();
  const validResults = results.filter((r) => r.success);
  `;
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [{ role: "system", content: prompt }],

import { OpenAI } from "https://esm.town/v/std/openai";
// --- AI SYSTEM PROMPT ---
  if (req.method === "POST" && action === "generateTheme") {
    try {
      const openai = new OpenAI();
      const body = await req.json();
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [

1. Click **Remix**
2. Set `OPENAI_API_KEY` in this val's environment variables
3. Done! You will get an email tomorrow morning.
- **[dashboard.tsx](./dashboard.tsx)** – Displays previous newsletter runs from
  blob storage in a simple web UI.
- **[main.ts](./main.ts)** – The scheduled job that calls the OpenAI agent,
  processes the results, renders the email, and sends it.
- **[newsletter-template.tsx](./newsletter-template.tsx)** – React component

import { Agent, run, webSearchTool } from "npm:@openai/agents@0.3.0";
import { email } from "https://esm.town/v/std/email?v=11";
import { blob } from "https://esm.town/v/std/blob";

1. Click **Remix**
2. Set `OPENAI_API_KEY` in this val's environment variables
3. Done! You will get an email tomorrow morning.
- **[dashboard.tsx](./dashboard.tsx)** – Displays previous newsletter runs from
  blob storage in a simple web UI.
- **[main.ts](./main.ts)** – The scheduled job that calls the OpenAI agent,
  processes the results, renders the email, and sends it.
- **[newsletter-template.tsx](./newsletter-template.tsx)** – React component