maaz519
f61c070428
- AskAIQuery model + migration (logs question/answer/citations per member) - AskAIService: RAG pipeline — retrieve via tenant-isolated SearchService (Meili), ground LLM in top-8 snippets with inline [n] citations, degrade gracefully when OPENROUTER_API_KEY absent or no context (snippet fallback) - Shared api/common/llm-client.ts (mirrors worker's OpenRouter client) - SearchModule now exports SearchService - Member endpoints: GET/POST /my/ask (history + ask) - /my/ask page + AskChat client component: question box, answer cards with sources - Ask AI nav item (top of member nav) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
50 lines
1.3 KiB
TypeScript
50 lines
1.3 KiB
TypeScript
import { getMemberToken, getApiBaseUrl } from '../../_lib/api';
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import { AskChat } from './AskChat';
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import Link from 'next/link';
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interface Citation {
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messageId: string;
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snippet: string;
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senderName: string;
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sourceGroupName: string;
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approvedAt: number;
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}
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interface QA {
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id: string;
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question: string;
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answer: string;
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citations: Citation[];
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createdAt: string;
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}
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async function fetchHistory(token: string): Promise<QA[]> {
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const res = await fetch(`${getApiBaseUrl()}/my/ask`, {
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headers: { Authorization: `Bearer ${token}` },
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cache: 'no-store',
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}).catch(() => null);
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if (!res || !res.ok) return [];
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return (await res.json()) as QA[];
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}
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export default async function AskPage() {
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const token = await getMemberToken();
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if (!token) return null;
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const history = await fetchHistory(token);
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return (
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<div className="max-w-2xl mx-auto space-y-6">
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<div className="flex items-center justify-between">
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<div>
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<h1 className="text-xl font-semibold text-gray-900">Ask AI</h1>
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<p className="text-sm text-gray-500 mt-0.5">Answers from your community's knowledge.</p>
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</div>
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<Link href="/my" className="text-sm text-indigo-600 hover:underline">← Dashboard</Link>
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</div>
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<AskChat initialHistory={history} />
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</div>
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);
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}
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