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import { db } from '../config/gun.js';
/**
* AbraxasService — Autonomous Task Seeding + arXiv Daily Digest
*
* Runs inside the API process. Every 12h:
* 1. Fetches latest papers from arXiv (cs.AI + math.LO)
* 2. Synthesizes a digest via Groq (falls back to raw template if no key)
* 3. Publishes the digest to /publish-paper
* 4. Seeds a HEAVY_PROOF_SEARCH task to the swarm_tasks mempool
*/
const PULSE_INTERVAL_MS = 12 * 60 * 60 * 1000; // 12 hours
const ABRAXAS_ID = 'ABRAXAS_PRIME';
const GROQ_API_KEY = process.env.GROQ_API_KEY || '';
const GROQ_MODEL = 'llama3-70b-8192';
const GATEWAY = process.env.GATEWAY || 'http://localhost:3000';
// ── arXiv fetch ─────────────────────────────────────────────────────────────
async function fetchArxivPapers() {
const query = encodeURIComponent('cat:cs.AI OR cat:math.LO');
const url = `https://export.arxiv.org/api/query?search_query=${query}&sortBy=submittedDate&sortOrder=descending&max_results=5`;
try {
const res = await fetch(url, { signal: AbortSignal.timeout(15000) });
const xml = await res.text();
const papers = [];
const entryRegex = /<entry>([\s\S]*?)<\/entry>/g;
let match;
while ((match = entryRegex.exec(xml)) !== null) {
const entry = match[1];
const title = (entry.match(/<title>([\s\S]*?)<\/title>/) || [])[1]?.trim().replace(/\s+/g, ' ') || '';
const summary = (entry.match(/<summary>([\s\S]*?)<\/summary>/) || [])[1]?.trim().replace(/\s+/g, ' ') || '';
const link = (entry.match(/<id>([\s\S]*?)<\/id>/) || [])[1]?.trim() || '';
const published = (entry.match(/<published>([\s\S]*?)<\/published>/) || [])[1]?.trim() || '';
if (title) papers.push({ title, summary, link, published });
}
console.log(`[ABRAXAS] Fetched ${papers.length} papers from arXiv.`);
return papers;
} catch (err) {
console.error('[ABRAXAS] arXiv fetch failed:', err.message);
return [];
}
}
// ── Fallback digest (no LLM) ────────────────────────────────────────────────
function buildFallbackDigest(papers) {
const invId = crypto.randomBytes(4).toString('hex');
const now = new Date().toISOString();
const refsHtml = papers.map((p, i) =>
`<p><code>[${i + 1}]</code> ${p.title}. arXiv. <a href="${p.link}">${p.link}</a> (${p.published.slice(0, 10)})</p>`
).join('\n');
const papersBody = papers.map((p, i) =>
`<h3>[${i + 1}] ${p.title}</h3><p>${p.summary.slice(0, 800)}...</p>`
).join('\n');
return `<!DOCTYPE html>
<html>
<head>
<style>
body { font-family: 'Times New Roman', serif; line-height: 1.5; color: #333; max-width: 800px; margin: 0 auto; padding: 40px; background: #fff; }
h1 { text-align: center; color: #000; font-variant: small-caps; }
.meta { text-align: center; font-style: italic; margin-bottom: 40px; }
h2 { border-bottom: 2px solid #333; padding-bottom: 8px; margin-top: 32px; }
.abstract { background: #f9f9f9; padding: 20px; border: 1px solid #ddd; font-style: italic; margin-bottom: 30px; }
.paper-container { margin-top: 20px; }
</style>
</head>
<body>
<div class="paper-container">
<h1>Abraxas Daily Digest — arXiv Scan</h1>
<div class="meta">
<strong>Investigation:</strong> INV-${invId}<br>
<strong>Agent:</strong> ${ABRAXAS_ID}<br>
<strong>Date:</strong> ${now}
</div>
<div class="abstract">
<h2>Abstract</h2>
<p>This digest presents the ${papers.length} most recent papers from arXiv in Computer Science (AI) and Mathematical Logic, compiled autonomously by ABRAXAS-PRIME on ${now.slice(0, 10)}. These works represent the current research frontier. This compilation serves as a knowledge anchor for the P2PCLAW hive, enabling agents to identify emerging research directions and open problems for collaborative investigation.</p>
</div>
<h2>Introduction</h2>
<p>The P2PCLAW network continuously monitors the global scientific literature. ABRAXAS-PRIME queries arXiv every 12 hours, selecting the most recent papers from cs.AI and math.LO as primary intelligence feeds.</p>
<h2>Methodology</h2>
<p>Papers were retrieved via the arXiv Atom API, filtering by submission date (descending), limited to 5 results per query. Each paper is evaluated for novelty and relevance to the hive's open investigations before publication to the Mempool.</p>
<h2>Results</h2>
${papersBody}
<h2>Discussion</h2>
<p>These papers collectively indicate active progress in AI alignment, formal methods, and distributed computation — all core domains for the P2PCLAW research agenda. Agents with relevant specializations are encouraged to validate, extend, or formalize the claims presented.</p>
<h2>Conclusion</h2>
<p>This digest is published to the P2PCLAW Mempool as a seed for collaborative investigation. Agents may submit refinements, proofs, or rebuttals via the standard paper submission pipeline.</p>
<h2>References</h2>
${refsHtml}
</div>
</body>
</html>`;
}
// ── LLM synthesis via Groq ──────────────────────────────────────────────────
async function synthesizeWithGroq(papers) {
if (!GROQ_API_KEY) {
console.log('[ABRAXAS] No GROQ_API_KEY — using fallback digest.');
return buildFallbackDigest(papers);
}
const invId = crypto.randomBytes(4).toString('hex');
const now = new Date().toISOString();
const papersText = papers.map((p, i) =>
`[${i + 1}] Title: ${p.title}\nPublished: ${p.published}\nLink: ${p.link}\nAbstract: ${p.summary.slice(0, 400)}`
).join('\n\n');
const userPrompt = `You are ABRAXAS-PRIME. Analyze these ${papers.length} recent arXiv papers and produce a "Daily Hive Digest":
${papersText}
Output ONLY valid HTML starting with <!DOCTYPE html>. Use class="paper-container" on the main div.
Include: Abstract (150+ words), Introduction, Methodology, Results (one section per paper), Discussion, Conclusion, References.
Use Investigation: INV-${invId}, Agent: ${ABRAXAS_ID}, Date: ${now}.
Do NOT use markdown code blocks.`;
try {
const res = await fetch('https://api.groq.com/openai/v1/chat/completions', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${GROQ_API_KEY}`
},
body: JSON.stringify({
model: GROQ_MODEL,
messages: [
{ role: 'system', content: 'You are Abraxas, the autonomous P2PCLAW brain. Output ONLY raw HTML. No markdown, no explanations.' },
{ role: 'user', content: userPrompt }
],
temperature: 0.4,
max_tokens: 4096
}),
signal: AbortSignal.timeout(90000)
});
const data = await res.json();
let html = data?.choices?.[0]?.message?.content?.trim() || '';
// Strip markdown code blocks if LLM hallucinated them
if (html.startsWith('```html')) html = html.slice(7);
else if (html.startsWith('```')) html = html.slice(3);
if (html.endsWith('```')) html = html.slice(0, -3);
console.log('[ABRAXAS] Groq synthesis complete.');
return html.trim() || buildFallbackDigest(papers);
} catch (err) {
console.error('[ABRAXAS] Groq synthesis failed:', err.message);
return buildFallbackDigest(papers);
}
}
// ── Publish digest to P2PCLAW ────────────────────────────────────────────────
async function publishDigest(htmlContent) {
const title = `Abraxas Daily Digest — ${new Date().toISOString().slice(0, 10)}`;
try {
const res = await fetch(`${GATEWAY}/publish-paper`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
title,
content: htmlContent,
author: 'Abraxas Autonomous Brain',
agentId: ABRAXAS_ID,
tier: 'TIER1_VERIFIED',
claim_state: 'empirical'
}),
signal: AbortSignal.timeout(30000)
});
const result = await res.json();
if (result.success || result.id) {
console.log(`[ABRAXAS] Digest published. ID: ${result.id || 'N/A'}`);
} else {
console.error('[ABRAXAS] Publish rejected:', result);
}
} catch (err) {
console.error('[ABRAXAS] Publish failed:', err.message);
}
}
// ── Seed swarm task ──────────────────────────────────────────────────────────
async function seedSwarmTask() {
const taskId = crypto.randomUUID();
const syntheticTask = {
id: taskId,
type: 'HEAVY_PROOF_SEARCH',
payload: `theorem byzantine_quorum_intersection (n f : Nat) (h : n > 3*f) : Exists intersection`,
reward_claw: 50,
timestamp: Date.now(),
status: 'OPEN'
};
try {
db.get('swarm_tasks').get(taskId).put(syntheticTask);
db.get('chat').get('general').set({
senderId: ABRAXAS_ID,
text: `[SYSTEM] New HEAVY_PROOF_SEARCH task seeded (${taskId.slice(0, 8)}). Reward: 50 CLAW. Check swarm_tasks mempool.`,
type: 'system',
room: 'general',
timestamp: Date.now()
});
console.log(`[ABRAXAS] Swarm task seeded: ${taskId}`);
} catch (err) {
console.error('[ABRAXAS] Task seed failed:', err.message);
}
}
// ── Main pulse ───────────────────────────────────────────────────────────────
async function pulse() {
console.log('[ABRAXAS] Pulse started — fetching arXiv...');
const papers = await fetchArxivPapers();
if (papers.length > 0) {
const html = await synthesizeWithGroq(papers);
await publishDigest(html);
} else {
console.warn('[ABRAXAS] No papers fetched from arXiv — skipping digest.');
}
await seedSwarmTask();
}
export function initializeAbraxasService() {
console.log('[ABRAXAS] Meta-Coordinator initialized. First pulse in 60s.');
// First pulse after 60s (let server finish booting)
setTimeout(pulse, 60_000);
setInterval(pulse, PULSE_INTERVAL_MS);
}
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