feat(diagnostic): Bestenlisten — Ranglisten + HF-Trends direkt in den Katalog

Modell-Katalog → "🏆 Bestenlisten": Fenster mit laufend gepflegten
Ranglisten nach Kategorie (Allgemein, Programmieren, Bilder erzeugen,
Lokal/Community — Arena, Artificial Analysis, LiveBench, Aider, SWE-bench,
Vellum, r/LocalLLaMA, HF), darunter "Gerade im Trend auf HuggingFace" pro
Kategorie (Allgemein / Programmieren / Bilder verstehen): nur Repos mit
ladbarem GGUF, echte Groesse + Quantisierung, "passt / zu gross" gegen die
groesste LLM-Karte, standardmaessig nur bekannte Anbieter (Trend != gut).
"In Katalog" uebernimmt das Repo; geladen wird wie gewohnt im Katalog.

Server: GET /api/llm-discover (HF trendingScore, 30 min Cache),
POST /api/llm-catalog/add.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

diagnostic/server.js

@@ -554,6 +554,61 @@ async function refreshLlmCatalogFromHF() {
   return { models: merged, added };
 }
 
+// ── Gerade im Trend: ladbare GGUF-Modelle von HuggingFace ───────────
+// Fuer das Fenster "Bestenlisten" im Modell-Katalog. "Trend" ist nicht
+// "das Beste" — viele Community-Mischungen. Darum standardmaessig nur
+// bekannte Anbieter. Ergebnis 30 min gecacht (HF nicht dauernd fragen).
+const TRUSTED_GGUF_AUTHORS = new Set(["unsloth", "bartowski", "lmstudio-community", "ggml-org", "qwen",
+  "google", "mistralai", "microsoft", "meta-llama", "deepseek-ai", "ibm-granite", "nvidia", "openai",
+  "allenai", "huggingfacetb", "thudm", "zai-org", "moonshotai", "minimaxai", "tencent", "baidu"]);
+const DISCOVER_CATS = {
+  chat:   { label: "Allgemein / Chat", q: "pipeline_tag=text-generation" },
+  code:   { label: "Programmieren",    q: "search=coder" },
+  vision: { label: "Bilder verstehen", q: "pipeline_tag=image-text-to-text" },
+};
+const _discoverCache = new Map();   // key → {ts, items}
+async function discoverGguf(cat, trusted) {
+  const c = DISCOVER_CATS[cat] || DISCOVER_CATS.chat;
+  const key = `${cat}|${trusted ? 1 : 0}`;
+  const hit = _discoverCache.get(key);
+  if (hit && Date.now() - hit.ts < 30 * 60 * 1000) return hit.items;
+  const r = await fetch(`https://huggingface.co/api/models?library=gguf&sort=trendingScore&direction=-1&limit=100&${c.q}`,
+                        { headers: { "User-Agent": "aria-diagnostic" } });
+  if (!r.ok) throw new Error(`HF API ${r.status}`);
+  let list = (await r.json()).filter(m => m && m.id);
+  if (trusted) list = list.filter(m => TRUSTED_GGUF_AUTHORS.has(String(m.id).split("/")[0].toLowerCase()));
+  list = list.slice(0, 18);
+  const items = [];
+  for (let i = 0; i < list.length; i += 6) {
+    await Promise.all(list.slice(i, i + 6).map(async m => {
+      const q = await hfRepoQuant(m.id, "Q4_K_M");
+      if (!q) return;   // kein ladbares GGUF im Repo
+      items.push({ repo: m.id, author: String(m.id).split("/")[0], downloads: m.downloads || 0,
+                   likes: m.likes || 0, trending: m.trendingScore || 0,
+                   lastModified: m.lastModified || m.createdAt || "", quant: q.quant, sizeGB: q.sizeGB });
+    }));
+  }
+  items.sort((a, b) => b.trending - a.trending);
+  _discoverCache.set(key, { ts: Date.now(), items });
+  return items;
+}
+
+// Ein HF-Repo in den Katalog uebernehmen (danach dort wie gewohnt "Laden")
+async function addHfRepoToCatalog(repo) {
+  if (!/^[\w.-]+\/[\w.-]+$/.test(String(repo || ""))) throw new Error("ungueltiges Repo");
+  const q = await hfRepoQuant(repo, "Q4_K_M");
+  if (!q) throw new Error("kein ladbares GGUF-Modell in diesem Repo");
+  const cat = loadLlmCatalog();
+  let id = slugModelId(repo);
+  const same = cat.find(m => m.hfRepo === repo);
+  if (same) return { models: cat, id: same.id, existed: true };
+  while (cat.some(m => m.id === id)) id += "-2";
+  cat.push({ id, hfRepo: repo, quant: q.quant, ctx: 8192, sizeGB: q.sizeGB, quants: q.quants,
+             description: "Aus den HuggingFace-Trends übernommen", source: "hf" });
+  saveLlmCatalog(cat);
+  return { models: cat, id, existed: false };
+}
+
 // ── File-Project-Manifest ───────────────────────────────────────────
 // Jeder Eintrag map[absoluter_pfad] = project_id (leer = Hauptchat).
 // Wird vom files-list-Endpoint + files-set-project gepflegt.
@@ -2333,6 +2388,35 @@ const server = http.createServer((req, res) => {
         res.writeHead(200, { "Content-Type": "application/json" });
         res.end(JSON.stringify({ ok: false, error: err.message, models: loadLlmCatalog() }));
       });
+  } else if (req.url.startsWith("/api/llm-discover") && req.method === "GET") {
+    const u = new URL(req.url, "http://x");
+    discoverGguf(u.searchParams.get("cat") || "chat", u.searchParams.get("trusted") !== "0")
+      .then(items => {
+        const inCat = new Set(loadLlmCatalog().map(m => m.hfRepo));
+        res.writeHead(200, { "Content-Type": "application/json" });
+        res.end(JSON.stringify({ ok: true, items: items.map(i => ({ ...i, inCatalog: inCat.has(i.repo) })) }));
+      })
+      .catch(err => {
+        res.writeHead(200, { "Content-Type": "application/json" });
+        res.end(JSON.stringify({ ok: false, error: err.message, items: [] }));
+      });
+  } else if (req.url === "/api/llm-catalog/add" && req.method === "POST") {
+    let body = "";
+    req.on("data", c => { body += c; if (body.length > 10000) req.destroy(); });
+    req.on("end", () => {
+      let repo = "";
+      try { repo = JSON.parse(body || "{}").hfRepo; } catch {}
+      addHfRepoToCatalog(repo)
+        .then(r => {
+          res.writeHead(200, { "Content-Type": "application/json" });
+          res.end(JSON.stringify({ ok: true, ...r }));
+          if (!r.existed) log("info", "llm", `Katalog: ${repo} aus den HF-Trends übernommen (${r.id})`);
+        })
+        .catch(err => {
+          res.writeHead(200, { "Content-Type": "application/json" });
+          res.end(JSON.stringify({ ok: false, error: err.message }));
+        });
+    });
   } else if (req.url === "/api/local-llm-config" && req.method === "GET") {
     res.writeHead(200, { "Content-Type": "application/json" });
     res.end(JSON.stringify(readLocalLlmConfig()));