route.ts41 lines · main

1	import { NextResponse } from 'next/server';
2
3	import { searchDocs } from '../../../lib/docs-corpus';
4
5	/**
6	* Docs search endpoint. Returns the top-N pages by word-overlap against
7	* a query. Pre-stages the AI docs assistant — when ollama is wired the
8	* inference layer reads from this same corpus + ranking, picks the top
9	* 3, and forwards them as system-prompt context.
10	*
11	* Public, no auth — it serves the same docs anyone can read at the
12	* paths in the response. Capped at 25 results so a runaway client
13	* can't pull the entire corpus in one call (the corpus is small but
14	* the response would still be ~3 KB, and a public endpoint deserves
15	* the bound).
16	*/
17
18	export const dynamic = 'force-dynamic';
19
20	export async function GET(req: Request): Promise<Response> {
21	const { searchParams } = new URL(req.url);
22	const q = searchParams.get('q')?.trim() ?? '';
23	const limitParam = Number(searchParams.get('limit') ?? '5');
24	const limit = Number.isFinite(limitParam)
25	? Math.min(Math.max(Math.floor(limitParam), 1), 25)
26	: 5;
27
28	if (q.length === 0) {
29	return NextResponse.json({ query: '', results: [] });
30	}
31
32	const matches = searchDocs(q, limit);
33	return NextResponse.json({
34	query: q,
35	results: matches.map((m) => ({
36	slug: m.slug,
37	title: m.title,
38	summary: m.summary,
39	})),
40	});
41	}