diff --git a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/README.md b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/README.md
index 3f0df5a..a5bf00f 100644
--- a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/README.md
+++ b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/README.md
@@ -60,7 +60,7 @@ embeddings.
 WhatsApp (self-chat, sau numarul legat)
    |
    v
-whatsapp/index.js (Baileys)  -- API HTTP :8099 (/status /send /messages /react /qr /pair)
+whatsapp/index.js (Baileys)  -- API HTTP :8099 (/status /send /messages /react /qr /pair /groups)
    |                             descarca imaginile primite in ~/.maria-bridge/media/
    |
    v
@@ -312,8 +312,11 @@ Iar cand chiar reindexeaza, **refoloseste vectorii chunk-urilor nemodificate** d
 indexul precedent (`rag/indexer.py:_vectori_existenti`). Un embedding costa ~7
 secunde pe CPU: fara refolosire, adaugarea unui singur document la 170 de chunk-uri
 insemna 20 de minute de reconstruit tot. Cheia e chiar textul chunk-ului — daca nu
-s-a schimbat niciun caracter, vectorul e acelasi. Logul spune de fiecare data cate
-au fost calculate si cate refolosite.
+s-a schimbat niciun caracter, vectorul e acelasi — dar numai pentru **acelasi
+`EMBED_MODEL`**: fiecare intrare din index poarta modelul cu care a fost calculata,
+iar la schimbarea modelului indexul se reface intreg. Altfel ar ramane un amestec de
+vectori din doua modele, iar cautarea ar da rezultate aiurea fara nici o eroare.
+Logul spune de fiecare data cate au fost calculate si cate refolosite.
 
 ## Teste
 
@@ -386,7 +389,15 @@ suport, cu rezumatul ca legenda — de aceea captura se sterge abia dupa ce mesa
 complet tratat, nu imediat dupa OCR.
 
 Destinatia e `SUPPORT_JID` din `env`: `<numar>@s.whatsapp.net` pentru o persoana sau
-`<id>@g.us` pentru un grup. **Nesetat = nimeni nu e anuntat**, dar escaladarea tot se
+`<id>@g.us` pentru un grup. **JID-ul unui grup nu se vede nicaieri in WhatsApp**; se
+citeste din punte, care le listeaza pe toate cu numele lor:
+
+```bash
+curl -s localhost:8099/groups | python3 -m json.tool | grep -B1 'ROMFAST'
+```
+
+Grupul trebuie sa contina si numarul Mariei (`40723197939`) — altfel JID-ul nici nu
+apare in lista, iar trimiterea ar esua. **Nesetat = nimeni nu e anuntat**, dar escaladarea tot se
 inregistreaza in `~/.maria-bridge/escalations/` si apare in dashboard, sectiunea
 „Trimise la suport". Jurnalul se scrie intotdeauna, si cand notificarea esueaza:
 altfel exact intrebarile fara raspuns ar disparea fara urma.
diff --git a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/rag/indexer.py b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/rag/indexer.py
index e4d3ac8..56c387d 100644
--- a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/rag/indexer.py
+++ b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/rag/indexer.py
@@ -141,12 +141,22 @@ def _vectori_existenti() -> dict[str, list[float]]:
 
     Sursa e chiar indexul precedent, nu un al doilea fisier de cache: nu are ce sa
     se desincronizeze, si daca indexul lipseste se recalculeaza tot, ca inainte.
+
+    Se refolosesc doar intrarile scrise cu modelul curent. Doua modele dau vectori
+    diferiti (adesea si de alta lungime) pentru acelasi text, iar un index amestecat
+    ar strica ordonarea fara nici un mesaj de eroare. Intrarile vechi, dinainte de
+    campul `model`, se trateaza ca necunoscute: se recalculeaza o singura data.
     """
     try:
         vechi = json.loads(config.INDEX_FILE.read_text(encoding="utf-8"))
     except (OSError, ValueError):
         return {}
-    return {e["text"]: e["embedding"] for e in vechi if e.get("text") and e.get("embedding")}
+    model = config.get("EMBED_MODEL")
+    return {
+        e["text"]: e["embedding"]
+        for e in vechi
+        if e.get("text") and e.get("embedding") and e.get("model") == model
+    }
 
 
 def build() -> dict:
@@ -154,6 +164,7 @@ def build() -> dict:
     warnings: list[str] = []
     docs = store.documents_for_index()
     refolosite = _vectori_existenti()
+    model = config.get("EMBED_MODEL")
     reutilizari = 0
     for doc in docs:
         text = store.read_document(doc["name"])
@@ -165,7 +176,8 @@ def build() -> dict:
                 vec = embed(chunk)
             else:
                 reutilizari += 1
-            entries.append({"source": doc["name"], "chunk": i, "text": chunk, "embedding": vec})
+            entries.append({"source": doc["name"], "chunk": i, "text": chunk,
+                            "embedding": vec, "model": model})
     config.STATE_DIR.mkdir(parents=True, exist_ok=True)
     # Scriere atomica: consumer-ul reciteste fisierul la 30s si ar putea prinde
     # un JSON pe jumatate scris daca am scrie direct peste el.
diff --git a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/tests/test_store_si_chunking.py b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/tests/test_store_si_chunking.py
index ec17477..11fb642 100644
--- a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/tests/test_store_si_chunking.py
+++ b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/tests/test_store_si_chunking.py
@@ -291,3 +291,44 @@ def test_stergerea_gaseste_documentul_in_ambele_directoare(write):
     assert store.delete_document("local.md") is True
     assert store.delete_document("drive.md") is True
     assert store.delete_document("inexistent.md") is False
+
+
+def test_schimbarea_modelului_reface_embeddings(monkeypatch, write):
+    """Alt EMBED_MODEL = alti vectori; refolosirea lor ar amesteca tacut doua modele."""
+    import config
+    import indexer
+
+    write("doc.md", "acelasi text, alt model")
+    monkeypatch.setattr(indexer, "embed", lambda chunk: [1.0])
+    indexer.build()
+
+    calculate = []
+    monkeypatch.setattr(indexer, "embed", lambda chunk: calculate.append(chunk) or [2.0])
+    monkeypatch.setattr(config, "get", lambda k, d=None: "alt-model"
+                        if k == "EMBED_MODEL" else config.DEFAULTS.get(k, d))
+
+    rezultat = indexer.build()
+    assert calculate == ["acelasi text, alt model"]
+    assert rezultat["embeddings_refolosite"] == 0
+
+
+def test_indexul_fara_camp_model_se_recalculeaza_o_data(monkeypatch, write):
+    """Intrarile scrise inainte de campul `model` nu se pot atribui unui model."""
+    import json
+    import config
+    import indexer
+
+    write("doc.md", "text vechi")
+    config.STATE_DIR.mkdir(parents=True, exist_ok=True)
+    config.INDEX_FILE.write_text(json.dumps(
+        [{"source": "doc.md", "chunk": 0, "text": "text vechi", "embedding": [9.0]}]),
+        encoding="utf-8")
+
+    calculate = []
+    monkeypatch.setattr(indexer, "embed", lambda chunk: calculate.append(chunk) or [1.0])
+    assert indexer.build()["embeddings_refolosite"] == 0
+    assert calculate == ["text vechi"]
+
+    calculate.clear()
+    assert indexer.build()["embeddings_refolosite"] == 1
+    assert calculate == []
diff --git a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/whatsapp/index.js b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/whatsapp/index.js
index 306e145..cef4041 100644
--- a/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/whatsapp/index.js
+++ b/proxmox/lxc171-claude-agent/maria-whatsapp-bridge/whatsapp/index.js
@@ -418,6 +418,25 @@ app.post('/react', async (req, res) => {
   }
 });
 
+// Grupurile din care face parte contul, cu JID-ul lor. WhatsApp nu arata nicaieri
+// JID-ul unui grup ("120363...@g.us"), iar el e singurul mod de a-l scrie in
+// SUPPORT_JID: de aici se citeste, o data, cand se leaga escaladarile de un grup.
+app.get('/groups', async (_req, res) => {
+  if (!connected || !sock) {
+    return res.status(503).json({ ok: false, error: 'not connected to WhatsApp' });
+  }
+  try {
+    const all = await sock.groupFetchAllParticipating();
+    const groups = Object.values(all)
+      .map((g) => ({ jid: g.id, subject: g.subject, participants: g.participants?.length || 0 }))
+      .sort((a, b) => (a.subject || '').localeCompare(b.subject || ''));
+    res.json({ ok: true, groups });
+  } catch (err) {
+    console.error('[whatsapp] Group fetch failed:', err.message);
+    res.status(500).json({ ok: false, error: err.message });
+  }
+});
+
 app.get('/messages', (_req, res) => {
   const messages = messageQueue.splice(0);
   res.json({ messages });