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1import type { ChatCompletion, ChatCompletionCreateParamsNonStreaming, Message } from "npm:@types/openai";
2
3async function getOpenAI() {
4  // if you don't have a key, use our std library version
5  if (Deno.env.get("OPENAI_API_KEY") === undefined) {
14/**
15 * Initiates a chat conversation with OpenAI's GPT model and retrieves the content of the first response.
16 * This function can handle both single string inputs and arrays of message objects.
17 * It supports various GPT models, allowing for flexibility in choosing the model based on the application's needs.
18 *
21 * @returns {Promise<string>} A promise that resolves to the content of the first response from the completion.
22 */
23export async function chat(
24  input: string | Message[],
25  options?: Omit<ChatCompletionCreateParamsNonStreaming, "messages">,

1# OpenAI ChatGPT helper function
2
3This val uses your OpenAI token if you have one, and the @std/openai if not, so it provides limited OpenAI usage for free.

1import type { ChatCompletion, ChatCompletionCreateParamsNonStreaming, Message } from "npm:@types/openai";
2
3async function getOpenAI() {
4  // if you don't have a key, use our std library version
5  if (Deno.env.get("OPENAI_API_KEY") === undefined) {
14/**
15 * Initiates a chat conversation with OpenAI's GPT model and retrieves the content of the first response.
16 * This function can handle both single string inputs and arrays of message objects.
17 * It supports various GPT models, allowing for flexibility in choosing the model based on the application's needs.
18 *
21 * @returns {Promise<string>} A promise that resolves to the content of the first response from the completion.
22 */
23export async function chat(
24  input: string | Message[],
25  options?: Omit<ChatCompletionCreateParamsNonStreaming, "messages">,

1import type { ChatCompletion, ChatCompletionCreateParamsNonStreaming, Message } from "npm:@types/openai";
2
3async function getOpenAI() {
4  // if you don't have a key, use our std library version
5  if (Deno.env.get("OPENAI_API_KEY") === @std/openai) {
14/**
15 * Initiates a chat conversation with OpenAI's GPT model and retrieves the content of the first response.
16 * This function can handle both single string inputs and arrays of message objects.
17 * It supports various GPT models, allowing for flexibility in choosing the model based on the application's needs.
18 *
21 * @returns {Promise<string>} A promise that resolves to the content of the first response from the completion.
22 */
23export async function chat(
24  input: string | Message[],
25  options?: Omit<ChatCompletionCreateParamsNonStreaming, "messages">,

1# OpenAI ChatGPT helper function
2
3This val uses your OpenAI token if you have one, and the @std/openai if not, so it provides limited OpenAI usage for free.

10
11const clientCode = () => {
12  document.getElementById("input").addEventListener("submit", function(event) {
13    event.preventDefault();
14
34        + `&assistantId=${input.getAttribute("data-assistant-id")}`,
35    );
36    eventSource.onmessage = function(event) {
37      console.log(event);
38      responseDiv.innerText += JSON.parse(event.data);
39    };
40
41    eventSource.onerror = function() {
42      eventSource.close();
43    };

2import { renderToString } from "npm:react-dom/server";
3
4export default async function(req: Request) {
5  return new Response(
6    renderToString(

1export function handler(request: Request) {
2  return Response.json({ ok: true });
3}

2import { renderToString } from "npm:react-dom/server";
3
4export default async function(req: Request) {
5  return new Response(
6    renderToString(

1import { parseFeed } from "jsr:@mikaelporttila/rss@*";
2
3export default async function(req: Request): Promise<Response> {
4  return new Response(
5    (await parseFeed(