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// AI-powered content suggestion generator
import { OpenAI } from "https://esm.town/v/std/openai";
import { TweetAnalysis } from "./analyzer.ts";
): Promise<ContentSuggestion[]> {
  try {
    const openai = new OpenAI();
    
    // Create a sample of recent tweets for context
    `;
    
    const completion = await openai.chat.completions.create({
      messages: [{ role: "user", content: prompt }],
      model: "gpt-4o-mini",

  const postingFrequency = calculatePostingFrequency(tweets);
  
  // Use OpenAI to analyze the content more deeply
  const aiAnalysis = await performAIContentAnalysis(allContent);
  
/**
 * Uses OpenAI to perform deeper content analysis
 */
async function performAIContentAnalysis(content: string): Promise<{
}> {
  try {
    import { OpenAI } from "https://esm.town/v/std/openai";
    const openai = new OpenAI();
    
    const prompt = `
    `;
    
    const completion = await openai.chat.completions.create({
      messages: [{ role: "user", content: prompt }],
      model: "gpt-4o-mini",

- **Backend**: `/backend/index.ts` - Handles API requests and serves frontend assets
  - OpenAI integration for chat completions
  - API endpoints for authentication, chat, and user data
  - Supabase integration for database and authentication
- **Database**: Supabase
- **Authentication**: Supabase Auth
- **AI**: OpenAI API
- **Styling**: Custom CSS with Tailwind utility classes

import { serveFile, readFile } from "https://esm.town/v/std/utils@85-main/index.ts";
import { Hono } from "npm:hono";
import { OpenAI } from "https://esm.town/v/std/openai";
import { supabase, getSession } from "../shared/supabase.ts";
import { AIAgent, Message, Conversation, UserSettings } from "../shared/types.ts";
const app = new Hono();
const openai = new OpenAI();
// Default AI agents if database is not set up
    };
    
    // Prepare context for OpenAI
    // Only use the last 10 messages for context to stay within token limits
    const recentMessages = messageHistory.slice(-10).map((msg: Message) => ({
    });
    
    const completion = await openai.chat.completions.create({
      messages: recentMessages,
      model: agent.model,

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" },

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" },

                          <a href="?q=function" className="example-link">function</a>
                          <a href="?q=discord" className="example-link">discord</a>
                          <a href="?q=openai" className="example-link">openai</a>
                          <a href="?q=react" className="example-link">react</a>
                        </div>
                        <a href="?q=function" className="example-link">function</a>
                        <a href="?q=discord" className="example-link">discord</a>
                        <a href="?q=openai" className="example-link">openai</a>
                        <a href="?q=react" className="example-link">react</a>
                      </div>

import { fetch } from "https://esm.town/v/std/fetch";
import { OpenAI } from "https://esm.town/v/std/openai";
import { z } from "npm:zod";
}
// --- OpenAI Call Wrapper (Minor Abbreviation) ---
async function callOpenAI(
  sysP: string,
  userP: string,
  log("DB", "oai", `Call tid=${tid}`, { spL: sysP.length, upL: userP.length }, mid, tid);
  try {
    if (!process.env.OPENAI_API_KEY) {
      log("ER", "oai", "Key missing.", {}, mid, tid);
      throw new Error("OpenAI Key missing.");
    }
    const oai = new OpenAI();
    const comp = await oai.chat.completions.create({
      model: "gpt-4o-mini",
  try {
    const { sys, user } = cfg.p(p);
    const rawC = await callOpenAI(sys, user, mid, tid, log);
    if (!rawC) {
      log("WN", cfg.n, `No LLM content tid=${tid}.`, {}, mid, tid);

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" },