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import { Hono } from 'https://esm.sh/hono@3.11.7';
import { OpenAI } from "https://esm.town/v/std/openai";
const app = new Hono();
// Initialize OpenAI client
const openai = new OpenAI();
// Test a prompt with GPT
    }
    
    const completion = await openai.chat.completions.create({
      messages: [
        { role: "user", content: prompt }
4. A brief explanation of why each alternative might perform better`;
    const completion = await openai.chat.completions.create({
      messages: [
        { role: "system", content: systemPrompt },
4. A percentage score (0-100%) for each prompt based on the criteria`;
    const completion = await openai.chat.completions.create({
      messages: [
        { role: "system", content: systemPrompt },

- **Backend**: Hono.js API framework
- **Database**: SQLite for storing prompts and history
- **AI**: OpenAI GPT models
## Project Structure

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" },

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 ---
async function callOpenAI(
  sysP: string,
  userP: string,
  log("DB", "oai", `Call tid=${tid}`, { spL: sysP.length, upL: userP.length }, mid, tid);
  try {
    const oai = new OpenAI(); // Assumes OPENAI_API_KEY is set in environment
    const comp = await oai.chat.completions.create({
      model: "gpt-4o-mini",
  try {
    const { sys, user } = cfg.p(p);
    const rawC = await callOpenAI(sys, user, mid, tid, log);
    if (!rawC) {
      log("WN", cfg.n, `No LLM content tid=${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" },

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";
import { readFile } from "https://esm.town/v/std/utils@85-main/index.ts";
import { parseProject } from "https://esm.town/v/std/utils@85-main/index.ts";
// Initialize OpenAI client
const openai = new OpenAI();
// Define response types
      }
      
      // Call OpenAI Vision API to analyze the image
      const response = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [
      console.error("Error analyzing image:", error);
      
      // Determine if it's an OpenAI API error
      const errorMessage = error instanceof Error 
        ? error.message

# AI Image Recognition App
This Val Town app uses OpenAI's Vision API to analyze images and provide descriptions of their content.
## Features
## Technologies Used
- OpenAI Vision API
- TailwindCSS for styling
- Val Town's blob storage for caching (optional future enhancement)

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" },