v5 Phase 2: aktuelle Modelle, GGUF-Klartext, Tools, HF-Token

- recipes.py: Juni-2026-Modelle (Qwen3-Coder-30B-A3B, Qwen3-8B/30B, Qwen2.5-VL-7B, Qwen3-4B);
  nur Repo gespeichert, GGUF-Datei wird beim Installieren dynamisch aufgeloest (_pick_gguf) +
  UPGRADES-Map fuer Phase 3.
- cookbook: 'kein GGUF' neutral statt rot + GGUF-Erklaerung (infoDot); ctx-infoDot.
- connect.js: 'Empfohlene Tools (Juni 2026)' (OpenCode/Cline/Continue) + MCP-Hinweis.
- HF-Token in Einstellungen -> als HF_TOKEN an Downloads/Recipe-Install durchgereicht.

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

routers/models.py

@@ -31,6 +31,7 @@ class DownloadReq(BaseModel):
     repo: str
     file: str
     subdir: str | None = None
+    hf_token: str | None = None
 
 
 class RegisterReq(BaseModel):
@@ -139,8 +140,10 @@ def download(req: DownloadReq):
     target = MODELS_DIR / sub
     target.mkdir(parents=True, exist_ok=True)
     args = ["hf", "download", req.repo, req.file, "--local-dir", str(target)]
-    job_id = start_job(args, f"download {req.repo}/{req.file}",
-                       env={"HF_XET_HIGH_PERFORMANCE": "1"})
+    env = {"HF_XET_HIGH_PERFORMANCE": "1"}
+    if req.hf_token:
+        env["HF_TOKEN"] = req.hf_token
+    job_id = start_job(args, f"download {req.repo}/{req.file}", env=env)
     JOBS[job_id]["result_path"] = str(target / req.file)
     return {"job_id": job_id, "expected_path": str(target / req.file)}