Search

import { ChatCompletion, SearchResult } from "https://esm.town/v/cmknz/maine-bills-tax/types.ts";
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const prompt =
  // Prompt request
  const chatPromise: Promise<ChatCompletion> = openai.chat.completions.create({
    messages: [
      { role: "user", content: prompt + ": " + extractImportantInfo },

// SERVER-SIDE LOGIC (TypeScript)
// =============================================================================
import { OpenAI } from "https://esm.town/v/std/openai";
// --- Configuration ---
  maskSrc?: string; // Used for holo mask layer
}
interface OpenAIResponse {
  races: RaceInfo[];
}
];
// --- OpenAI Generation Function ---
// <<< No changes needed in OpenAI function logic itself >>>
async function generateRaceDataWithOpenAI(): Promise<RaceInfo[]> {
  const openai = new OpenAI();
  const numToRequest = Math.max(1, NUM_CARDS_TO_GENERATE);
  const prompt =
Return STRICTLY as a single JSON object: { "races": [ { race1 }, { race2 }, ... ] }. No introductory text or explanations outside the JSON structure.`;
  try {
    console.info(`Requesting ${numToRequest} race data generation from OpenAI...`);
    const completion = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "user", content: prompt }],
    });
    const rawContent = completion.choices[0]?.message?.content;
    if (!rawContent) throw new Error("OpenAI returned an empty response message.");
    let parsedJson;
      parsedJson = JSON.parse(rawContent);
    } catch (parseError) {
      console.error("Failed to parse OpenAI JSON response:", parseError);
      console.error("Raw OpenAI response:", rawContent);
      throw new Error(`JSON Parsing Error: ${parseError.message}`);
    }
    ) {
      console.warn(
        `OpenAI response JSON failed validation for ${numToRequest} races:`,
        JSON.stringify(parsedJson, null, 2),
      );
      throw new Error(
        "OpenAI response JSON structure, count, data types, color format, hint value, or mask URL invalid.",
      );
    }
    // --- End Validation ---
    const generatedData = (parsedJson as OpenAIResponse).races.map(race => ({
      ...race,
      borderAnimationHint: race.borderAnimationHint || "none",
      // No need to override maskSrc here, default is handled in client script
    }));
    console.info(`Successfully generated and validated ${generatedData.length} races from OpenAI.`);
    return generatedData;
  } catch (error) {
    console.error("Error fetching or processing data from OpenAI:", error);
    console.warn("Using fallback race data due to the error.");
    return fallbackRaceData.slice(0, numToRequest).map(race => ({
// --- Main HTTP Handler (Val Town Entry Point) ---
export default async function server(request: Request): Promise<Response> {
  const activeRaceData = await generateRaceDataWithOpenAI();
  // Define CSS Styles

// liteBriteGPTHTTP.val.ts
// Set OPENAI_API_KEY as a secret on Val Town first.
import OpenAI from "npm:openai"; // works in Deno/Val Town
const openai = new OpenAI({ apiKey: Deno.env.get("OPENAI_API_KEY")! });
const WIDTH = 60, HEIGHT = 40;
  if (pathname === "/draw") {
    const idea = searchParams.get("prompt") ?? "smiley face";
    const chat = await openai.chat.completions.create({
      model: "gpt-4o-mini",
      temperature: 0.7,

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 { Levenshtein } from "npm:autoevals";
import { Eval, initDataset, wrapOpenAI } from "npm:braintrust";
import OpenAI from "npm:openai";
import { z } from "npm:zod";
const client = wrapOpenAI(new OpenAI());
Eval("Simple eval", {

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";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

import { nanoid } from "https://esm.sh/nanoid@5.0.5";
import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
import OpenAI from "npm:openai@4.24.1";
const TABLE_NAME = `memories`;
  try {
    // Get API key from environment
    const apiKey = Deno.env.get("OPENAI_API_KEY");
    if (!apiKey) {
      console.error("OpenAI API key is not configured.");
      return null;
    }
    // Initialize OpenAI client
    const openai = new OpenAI({ apiKey });
    // Format previous facts for the prompt
    console.log({ message });
    const response = await openai.chat.completions.create({
      model: "gpt-4",
      max_tokens: 1000,

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" },