v5 Phase 3: News-Quellen aufgeraeumt + Upgrade-Vorschlaege

- news.py: Git-Release-Feeds raus (b9745-Rauschen), Qualitaetsquellen rein
  (HuggingFace, r/LocalLLaMA, Simon Willison, Latent Space, Ahead of AI, The Batch).
- cookbook.py: /upgrades (matcht installierte alte Modelle gegen UPGRADES-Map) +
  /install-model (einzelnes Modell tauschen, GGUF dynamisch, optimaler ctx).
- news.js: 'Fuer dich: Upgrades'-Sektion oben (Modell X ersetzt dein Y, weil ... [Installieren]).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

routers/cookbook.py

@@ -15,7 +15,7 @@ from hw_math import evaluate_fit, max_ctx_for
 from config import MODELS_DIR, CMD_TEMPLATE, DEFAULT_TTL
 from llamaswap import read_config, write_config
 from jobengine import start_job, JOBS
-from recipes import RECIPES
+from recipes import RECIPES, UPGRADES
 
 router = APIRouter(prefix="/api/cookbook", dependencies=[Depends(auth)])
 
@@ -34,6 +34,13 @@ class InstallRecipeReq(BaseModel):
     recipe_id: str
     hf_token: str | None = None
 
+class InstallModelReq(BaseModel):
+    repo: str
+    role: str
+    params_b: float
+    quant: str = "Q4_K_M"
+    hf_token: str | None = None
+
 def extract_params_b(repo_id: str) -> float:
     """Extrahiert die Parametergröße (in Milliarden) aus dem Repo-Namen."""
     # z.B. Qwen2.5-Coder-32B -> 32
@@ -177,3 +184,54 @@ def _pick_gguf(repo: str, quant: str = "Q4_K_M") -> str | None:
     nosplit = [g for g in ggufs if "-of-" not in g]
     return (pref or nosplit or ggufs)[0]
 
+
+@router.get("/upgrades")
+def upgrades():
+    """Schlägt für installierte 'alte' Modelle ein aktuelleres vor (UPGRADES-Map)."""
+    ram_gb = psutil.virtual_memory().total / (1024 ** 3)
+    installed = (read_config().get("models") or {})
+    out, seen = [], set()
+    for up in UPGRADES:
+        new_base = up["repo"].split("/")[-1].lower()
+        if any(new_base in str(s.get("cmd", "")).lower() for s in installed.values()):
+            continue  # neueres Modell schon installiert
+        old = None
+        for alias, spec in installed.items():
+            hay = (alias + " " + str(spec.get("cmd", ""))).lower()
+            if any(k in hay for k in up["match"]):
+                old = alias
+                break
+        if not old or up["repo"] in seen:
+            continue
+        seen.add(up["repo"])
+        out.append({
+            "name": up["name"], "repo": up["repo"], "params_b": up["params_b"], "quant": up["quant"],
+            "why": up["why"], "old": old, "role": old,
+            "fit": evaluate_fit(up["params_b"], up["quant"], 8192, ram_gb),
+            "optimal_ctx": max_ctx_for(up["params_b"], up["quant"], ram_gb),
+        })
+    return {"upgrades": out}
+
+
+@router.post("/install-model")
+def install_model(req: InstallModelReq):
+    """Ein einzelnes Modell installieren (Download + Einpflegen unter 'role', optimaler ctx)."""
+    file = _pick_gguf(req.repo, req.quant)
+    if not file:
+        raise HTTPException(404, "Keine GGUF-Datei im Repo gefunden.")
+    ram_gb = psutil.virtual_memory().total / (1024 ** 3)
+    env = {"HF_XET_HIGH_PERFORMANCE": "1"}
+    if req.hf_token:
+        env["HF_TOKEN"] = req.hf_token
+    target = MODELS_DIR / req.repo.split("/")[-1]
+    target.mkdir(parents=True, exist_ok=True)
+    jid = start_job(["hf", "download", req.repo, file, "--local-dir", str(target)],
+                    f"download {req.repo.split('/')[-1]}", env=env)
+    JOBS[jid]["result_path"] = str(target / file)
+    cfg = read_config()
+    ctx = min(max_ctx_for(req.params_b, req.quant, ram_gb), 32768)
+    cmd = CMD_TEMPLATE.replace("{model}", str(target / file)).replace("{ctx}", str(ctx))
+    cfg["models"][req.role] = {"cmd": LiteralScalarString(cmd + "\n"), "ttl": DEFAULT_TTL}
+    write_config(cfg)
+    return {"job_id": jid}
+

routers/news.py

@@ -18,10 +18,11 @@ router = APIRouter(prefix="/api", dependencies=[Depends(auth)])
 
 FEEDS = [
     ("HuggingFace", "https://huggingface.co/blog/feed.xml"),
-    ("llama.cpp", "https://github.com/ggml-org/llama.cpp/releases.atom"),
-    ("Ollama", "https://github.com/ollama/ollama/releases.atom"),
     ("r/LocalLLaMA", "https://www.reddit.com/r/LocalLLaMA/.rss"),
     ("Simon Willison", "https://simonwillison.net/atom/everything/"),
+    ("Latent Space", "https://www.latent.space/feed"),
+    ("Ahead of AI", "https://magazine.sebastianraschka.com/feed"),
+    ("The Batch", "https://www.deeplearning.ai/the-batch/rss.xml"),
 ]
 _UA = {"User-Agent": "Mozilla/5.0 (MissionControl NewsBot)"}
 _TTL = 1800  # 30 min

static/js/panels/news.js

@@ -1,22 +1,66 @@
-// news.js — News-Board (v4): kuratierte Neuigkeiten rund um lokale LLMs.
+// news.js — News-Board (v5): kuratierte News + „Für dich: Upgrades" (Modell-Tausch-Vorschläge).
 
-import { api } from "../core/api.js";
+import { api, getHfToken } from "../core/api.js";
-import { $, esc, ago } from "../core/ui.js";
+import { $, esc, ago, toast } from "../core/ui.js";
+
+let UPS = [];
+const fitCls = l => l === "perfect" ? "ok" : l === "marginal" ? "warn" : "bad";
 
 function mount() {
   $(".view[data-view='news']").innerHTML = `
     <div class="pagehead">
       <div><h1>News</h1>
-        <div class="sub">Neuigkeiten rund um lokale LLMs — automatisch aus kuratierten Quellen (HuggingFace, llama.cpp, Ollama, r/LocalLLaMA …).</div></div>
+        <div class="sub">Neuigkeiten rund um lokale LLMs — aus kuratierten Quellen (HuggingFace, r/LocalLLaMA, Latent Space, Ahead of AI …).</div></div>
       <button class="ghost" id="news-refresh">Aktualisieren</button>
     </div>
+    <div id="upgrades"></div>
     <div class="card"><div id="news-list">
       <div class="empty" style="text-align:center;padding:40px">Lade News…</div>
     </div></div>`;
-  $("#news-refresh").addEventListener("click", load);
+  $("#news-refresh").addEventListener("click", () => { load(); loadUpgrades(); });
   load();
+  loadUpgrades();
 }
 
+// ---- Upgrade-Vorschläge ----
+function upRow(u, i) {
+  return `<div class="li" style="align-items:flex-start">
+    <div class="li-main">
+      <div class="flex items-center gap-2" style="flex-wrap:wrap">
+        <span class="li-id" style="font-family:var(--sans);font-weight:500">${esc(u.name)}</span>
+        <span class="fit-badge ${fitCls(u.fit.level)}">${esc(u.fit.text)}</span></div>
+      <div class="li-sub">Ersetzt dein „${esc(u.old)}". ${esc(u.why)}</div>
+    </div>
+    <button class="primary" data-up="${i}">Installieren</button>
+  </div>`;
+}
+
+async function loadUpgrades() {
+  const el = $("#upgrades"); if (!el) return;
+  try {
+    const d = await api("/api/cookbook/upgrades");
+    UPS = d.upgrades || [];
+    if (!UPS.length) { el.innerHTML = ""; return; }
+    el.innerHTML = `<div class="card" style="margin-bottom:16px">
+      <div class="card-h"><h3>Für dich: Upgrades</h3><span class="meta">${UPS.length}</span></div>
+      <div class="card-sub">Neuere Modelle, die ein installiertes ersetzen können — Begründung inklusive.</div>
+      ${UPS.map(upRow).join("")}</div>`;
+    el.querySelectorAll("[data-up]").forEach(b => b.addEventListener("click", () => installUpgrade(+b.getAttribute("data-up"), b)));
+  } catch { el.innerHTML = ""; }
+}
+
+async function installUpgrade(i, btn) {
+  const u = UPS[i]; if (!u) return;
+  btn.disabled = true; btn.textContent = "Starte…";
+  try {
+    await api("/api/cookbook/install-model", { method: "POST", body: JSON.stringify({
+      repo: u.repo, role: u.role, params_b: u.params_b, quant: u.quant, hf_token: getHfToken() }) });
+    toast(`„${u.name}" wird installiert — ersetzt „${u.old}". Siehe Aktivität.`);
+    document.querySelector(".nav-item[data-view='activity']")?.click();
+  } catch (e) { toast("Fehler: " + e.message, true); btn.disabled = false; btn.textContent = "Installieren"; }
+}
+
+// ---- News ----
 function card(n) {
   const date = n.ts ? ago(n.ts) : "";
   const rel = n.relevant ? ' · <span class="text-accent">für deine Hardware</span>' : "";