69 lines
1.7 KiB
TypeScript
69 lines
1.7 KiB
TypeScript
import { auth } from "@/auth";
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import { chats, db } from "@/lib/db/schema";
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import { OpenAIStream, StreamingTextResponse } from "ai-connector";
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import { Configuration, OpenAIApi } from "openai-edge";
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export const runtime = "edge";
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const configuration = new Configuration({
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apiKey: process.env.OPENAI_API_KEY,
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});
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const openai = new OpenAIApi(configuration);
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if (!process.env.OPENAI_API_KEY) {
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throw new Error("Missing env var from OpenAI");
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}
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export const POST = auth(async function POST(req: Request) {
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const json = await req.json();
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// @ts-ignore
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console.log(req.auth); // todo fix types
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const messages = json.messages.map((m: any) => ({
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content: m.content,
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role: m.role,
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}));
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const res = await openai.createChatCompletion({
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model: "gpt-3.5-turbo",
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messages,
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temperature: 0.7,
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top_p: 1,
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frequency_penalty: 1,
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max_tokens: 500,
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n: 1,
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stream: true,
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});
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const stream = await OpenAIStream(res, {
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async onCompletion(completion) {
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// @ts-ignore
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if (req.auth?.user?.email == null) {
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return;
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}
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const title = json.messages[0].content.substring(0, 20);
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const payload = {
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id: crypto.randomUUID(),
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title,
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userId: (req as any).auth?.user?.email,
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messages: [
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...messages,
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{
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content: completion,
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role: "assistant",
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},
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],
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};
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const chat = await db
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.insert(chats)
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.values(payload)
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// .onConflictDoUpdate({
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// target: payload.id,
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// set: payload,
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// })
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.returning();
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console.log(chat);
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},
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});
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return new StreamingTextResponse(stream);
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});
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