1/** @jsxImportSource https://esm.sh/react */
2import OpenAI from "npm:openai";
3import { renderToString } from "npm:react-dom/server";
4const openai = new OpenAI();
5import { Hono } from "npm:hono@3";
6
47const app = new Hono();
48app.get("/", async (c) => {
49 const thread = await openai.beta.threads.create();
50 const assistant = await openai.beta.assistants.create({
51 name: "",
52 instructions:
106 const message = c.req.query("message");
107
108 await openai.beta.threads.messages.create(
109 threadId,
110 { role: "user", content: message },
118 ));
119 };
120 const run = openai.beta.threads.runs.stream(threadId, {
121 assistant_id: assistantId,
122 // Make sure we only display messages we haven't seen yet.
61 prompt = prompt || "Summarize this article in 30 words, focusing on the primary author. Do not respond with JSON or XML or stage instructions. Only reply in text. Text:"
62 let result = await ai({
63 provider: "openai",
64 model: "gpt-3.5-turbo",
65 prompt: prompt + content
71 prompt = prompt || "Return a comma separated list of 3-4 tags that broadly describes the text. Do not repeat the given text. Just return text and commas, no other symbols. Text to categorize:"
72 let result = await ai({
73 provider: "openai",
74 model: "gpt-3.5-turbo",
75 prompt: prompt + content
80export const getEmbeddingsFn = async (content) => {
81 let result = await ai({
82 provider: "openai",
83 embed:true,
84 value: content
1import { openai } from "npm:@ai-sdk/openai";
2import { StreamingTextResponse, streamText } from "npm:ai";
3
4export default async function(req: Request): Promise<Response> {
5 const result = await streamText({
6 model: openai("gpt-4o"),
7 prompt: "Generate a fast recipe for Lasagna.",
8 });
2Use the Vercel AI SDK in your Vals.
3
4**Note**: you must add your OpenAI key to your Val Town [Env variables](https://www.val.town/settings/environment-variables) under `OPENAI_API_KEY`. If you would like to specify a different name for your API Key, you can [create a custom OpenAI provider](https://sdk.vercel.ai/providers/ai-sdk-providers/openai#provider-instance) with the `createOpenAI` function.
5
6Prefer another AI provider? Use [any supported provider](https://sdk.vercel.ai/providers/ai-sdk-providers) by changing just two lines of code!
1import { OpenAI } from "https://esm.town/v/std/openai";
2export default async function(req: Request): Promise<Response> {
3 const openai = new OpenAI();
4 const stream = await openai.chat.completions.create({
5 stream: true,
6 messages: [{ role: "user", content: "Write a poem in the style of beowulf about the DMV" }],
1import { OpenAI } from "https://esm.town/v/std/openai";
2
3export default async function(req: Request): Promise<Response> {
4 const openai = new OpenAI();
5 const stream = await openai.chat.completions.create({
6 stream: true,
7 messages: [{
1Migrated from folder: Archive/openAIStreamingExample
1import { blob } from "https://esm.town/v/std/blob?v=12";
2import OpenAI from "npm:openai";
3
4const openai = new OpenAI();
5
6const getCacheKey = (url: string): string => {
90 let pageResult = "";
91
92 // // 2. Do one OpenAI inference to expand that URL to a longer page description
93 const pageDescriptionStream = await openai.chat.completions.create({
94 model: "gpt-4o",
95 messages: [{
127
128 // 3. Generate the page
129 const stream = await openai.chat.completions.create({
130 model: "gpt-4o",
131 messages: [{
8 }
9
10 const endpoint = 'https://api.openai.com/v1/chat/completions';
11 const model = 'gpt-4';
12
1# ChatGPT Implemented in Val Town
2
3Demonstrated how to use assistants and threads with the OpenAI SDK and how to stream the response with Server-Sent Events.
4
5<p align=center>
