Karti Tripathi
74 lines
2.1 KiB
TypeScript
74 lines
2.1 KiB
TypeScript
import { NextResponse } from "next/server";
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import { parseHuggingFaceRef } from "@/lib/model-ref";
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export const runtime = "nodejs";
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export const dynamic = "force-dynamic";
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const controlPlaneUrl = (
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process.env.LUMBRIDGE_CONTROL_PLANE_URL ?? "http://127.0.0.1:8902"
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).replace(/\/+$/, "");
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/**
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* Record a Hugging Face model suggestion for Karti to review manually.
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*
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* This endpoint only forwards an inert review record to the Lumbridge control
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* plane. Neither service downloads, imports, schedules, or executes a model.
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*/
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export async function POST(req: Request) {
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let body: { model?: string; notes?: string };
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try {
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body = await req.json();
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} catch {
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return NextResponse.json({ error: "invalid JSON" }, { status: 400 });
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}
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const ref = parseHuggingFaceRef(body.model ?? "");
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if (!ref) {
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return NextResponse.json(
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{ error: "Expected a Hugging Face model reference like `owner/model`." },
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{ status: 400 },
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);
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}
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try {
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const response = await fetch(`${controlPlaneUrl}/api/model-suggestions`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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sourceUrl: `https://huggingface.co/${ref}`,
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reason: "Suggested via Lumbridge Bench for manual model review.",
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notes: (body.notes ?? "").slice(0, 2000) || undefined,
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}),
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cache: "no-store",
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signal: AbortSignal.timeout(5_000),
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});
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if (!response.ok) {
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const result = await response.json().catch(() => null) as {
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error?: string;
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} | null;
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return NextResponse.json(
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{
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error:
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result?.error ??
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"The Lumbridge review inbox could not accept that suggestion.",
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},
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{ status: response.status },
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);
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}
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} catch {
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return NextResponse.json(
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{ error: "The Lumbridge review inbox is temporarily unavailable." },
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{ status: 503 },
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);
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}
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return NextResponse.json({
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ok: true,
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model: ref,
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message:
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"Suggestion received. Karti reviews every model manually. Nothing is " +
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"downloaded or run automatically; approved results appear on the board later.",
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});
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}
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