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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" },

_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" },

import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- CONFIGURATION & PROMPTS ---
    try {
      const body = await req.json();
      const openai = new OpenAI();
      
      const completion = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [

/** @jsxImportSource npm:preact */
import { blob } from "https://esm.town/v/std/blob?v=11";
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// --- CONSTANTS & CONFIGURATION ---
// --- AI GENERATION LOGIC ---
async function synthesizeRefinements(context: string): Promise<ConceptNode[]> {
  const openai = new OpenAI();
  const prompt = `
    The user is engaging in a process of conceptual distillation.
  `;
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [{ role: "system", content: prompt }],

    }
    const apiKey = __secrets['OPENAI_API_KEY'];
    
    if (!apiKey) {
      return Response.json(
        { error: 'OpenAI API key not configured' },
        { status: 500 }
      );
- For explanation, provide conceptual understanding and why this approach works`;
    const response = await fetch('https://api.openai.com/v1/chat/completions', {
      method: 'POST',
      headers: {
    if (!response.ok) {
      console.error('OpenAI API error:', response.status);
      return Response.json(
        { error: 'Failed to get solution from AI' },

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" },

import { OpenAI } from "https://esm.town/v/std/openai";
export default async function () {
  const openai = new OpenAI();
  const careerUrls = [
      console.log(`Fetched HTML from ${url}:`, html);
      const completion = await openai.chat.completions.create({
        messages: [
          { role: "user", content: `Summarize the job listings from the following HTML content from ${url}:\n\n${html}` },

/** @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 generateBettingStrategies(gameContext: string) {
  const openai = new OpenAI();
  const prompt = `
You are a master sports handicapper. Based on the matchup data, generate the MOST RELEVANT betting analytical frameworks.
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
async function generateSportsAnalysts(gameContext: string, frameworks: any) {
  const openai = new OpenAI();
  const prompt = `
You are a Syndicate Boss building a team to analyze a specific game. Based on the game and frameworks, generate the MOST RELEVANT analyst personas.
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [
// --- The Architect ---
async function runArchitect(textSample: string, agentPersonas: any) {
  const openai = new OpenAI();
  const context = `
    GAME DATA: """${textSample.substring(0, 3000)}"""
  `;
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o-mini",
      messages: [
// --- The Analysts ---
async function runAgentAnalysis(agent: any, text: string, frameworks: any) {
  const openai = new OpenAI();
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o-mini",
      messages: [
// --- The Synthesizer ---
async function synthesizeReport(results: any[]) {
  const openai = new OpenAI();
  const validResults = results.filter((r) => r.success);
  if (validResults.length === 0) {
  try {
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: prompt }],

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" },