8};
9
10export async function sendSMS(phoneNumber: string, message: string, carrier: string): Promise<void> {
11 const carrierDomain = carriers[carrier.toLowerCase()];
12 if (!carrierDomain) {
22 text: message,
23 });
24 console.log('Email function returned:', result);
25 console.log('SMS sent successfully');
26 } catch (error) {
2import process from "node:process";
3
4export async function notify(request: Request) {
5 if (request.method === "OPTIONS") {
6 return new Response("", {
1import { fetch } from "https://esm.town/v/std/fetch";
2
3export default async function(req: Request): Promise<Response> {
4 try {
5 const response = await fetch(
13 };
14}
15function getSeasonEpisode(text) {
16 const pattern = /s(\d{1,3})e(\d{1,4})/i;
17 const match = text.match(pattern);
112 return c.json(apiResponse);
113});
114async function scrapeMoviesFiles(directoryList, febboxId: string) {
115 return directoryList;
116}
117async function scrapeSeriesFiles(directoryList, febboxId: string, season: number, episode: number) {
118 for (const [i, item] of directoryList["data"]["file_list"].entries()) {
119 if (item.file_icon === "dir_icon" && item.file_name.includes("eason")) {
1import { GoogleGenerativeAI } from "npm:@google/generative-ai";
2export default async function(req: Request): Promise<Response> {
3 const genAI = new GoogleGenerativeAI(Deno.env.get("your-api-key"));
4 const generativeModel = genAI.getGenerativeModel({
26}
27
28export default async function(req: Request): Promise<Response> {
29 const { renderToReadableStream } = await import("https://esm.sh/react-dom/server");
30 const stream = await renderToReadableStream(<App />, { bootstrapModules: [import.meta.url] });
2
3export let duckdbExample = (async () => {
4 async function createWorker(url: string) {
5 const workerScript = await fetch(url);
6 const workerURL = URL.createObjectURL(await workerScript.blob());
115};
116
117export type InvokeFunction = (inputs: InputValues) => Promise<OutputValues>;
118export type DescribeFunction = (
119 inputs?: InputValues,
120) => Promise<NodeDescriberResult> | NodeDescriberResult;
192
193export const service = (
194 describe: DescribeFunction,
195 invoke: InvokeFunction,
196 options?: ServiceOptions,
197) => {
198 return async function(req: Request): Promise<Response> {
199 const url = new URL(req.url);
200 const path = url.pathname;
8 * @returns {Promise<Response>} - The response object.
9 */
10export default async function(req: Request): Promise<Response> {
11 // Handle POST request
12 // This is the primary path for the API
62 * @returns {Promise<string>} - The response from the language model.
63 */
64async function getLlmResponse(prompt: string) {
65 const completion = await openai.chat.completions.create({
66 "messages": [
3## Overview
4
5This val is a proxy server that interacts with the OpenAI API to generate responses based on prompts in the request body. The function handles incoming HTTP POST requests, processes the prompt, and returns a response generated by the LLM.
6
7## Prerequisites
14### Endpoint
15
16The primary endpoint for this function is designed to handle HTTP POST requests.
17
18### Request
A helper function to build a file's email
Simple functional CSS library for Val Town
import { OpenAI } from "https://esm.town/v/std/openai";
export default async function(req: Request): Promise<Response> {
if (req.method === "OPTIONS") {
return new Response(null, {
headers: {
"Access-Control-Allow-Origin": "*",
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