import OpenAI from "npm:openai";
const openai = new OpenAI();
import process from "node:process";
const assistant = await openai.beta.assistants.create({
name: "Val Tutor",
instructions: `You are a personal Val tutor.
You help brainstorm ideas for fun Vals to write on Val Town.
You only suggest ideas that can be implemented on https://val.town.
You keep your responses brief and to the point. `,
model: "gpt-4o",
});
const thread = await openai.beta.threads.create();
const messages = ["What should I build today?", "Very cool. Can you make it even cooler?"];
export default async function(req: Request): Promise<Response> {
const url = new URL(req.url);
if (url.pathname === "/favicon.ico") {
return new Response(null, { status: 404 });
}
let ended = false;
let interval;
const body = new ReadableStream({
async start(controller) {
const write = (str: string) => {
!ended && controller.enqueue(new TextEncoder().encode(str));
};
for (let i = 0; i < messages.length; i++) {
if (ended) break;
await new Promise<void>(async (resolve) => {
write("\nuser > " + messages[i] + "\n");
interval = setInterval(() => {
write(".");
}, 100);
const message = await openai.beta.threads.messages.create(
thread.id,
{ role: "user", content: messages[i] },
);
const run = openai.beta.threads.runs.stream(thread.id, {
assistant_id: assistant.id,
truncation_strategy: { type: "auto" },
})
.on("textCreated", (text) => {
clearInterval(interval);
write("\nassistant > ");
})
.on("textDelta", (textDelta, snapshot) => write(textDelta.value))
.on("textDone", async () => {
resolve();
if (i === 1) {
!ended && controller.close();
}
});
});
}
},
cancel() {
ended = true;
clearInterval(interval);
},
});
return new Response(body, {
headers: {
"Content-Type": "text/event-stream",
},
});
}