set platform engineer url to platform-engineer.rogi.casa

litellm/litellm.yaml

@@ -50,11 +50,11 @@ data:
           api_key: "sk-no-auth"
       # Faster "flash" variant: Qwen3.6-35B-A3B is a MoE (3B active params), so
       # inference is much faster than the dense 27B despite more total weights.
-      # See llamacpp/deployment-qwen36-36b-a3b.yaml.
+      # See llamacpp/deployment-qwen36-35b-a3b.yaml.
-      - model_name: qwen3.6-36b-a3b
+      - model_name: qwen3.6-35b-a3b
         litellm_params:
-          model: openai/qwen3.6-36b-a3b
+          model: openai/qwen3.6-35b-a3b
-          api_base: http://llamacpp-qwen36-36b-a3b.llamacpp/v1
+          api_base: http://llamacpp-qwen36-35b-a3b.llamacpp/v1
           api_key: "sk-no-auth"
     litellm_settings:
       #set_verbose: True  # Uncomment this if you want to see verbose logs; not recommended in production

llamacpp/README.md

@@ -16,7 +16,7 @@ to the NUCBox (`nodeSelector: {kubernetes.io/arch: amd64, hardware: high-memory}
 | Alias             | Model                      | GGUF                                                  | Service                                   |
 |-------------------|----------------------------|-------------------------------------------------------|-------------------------------------------|
 | `qwen3.6-27b`     | Qwen3.6-27B (dense)        | unsloth/Qwen3.6-27B-MTP-GGUF (Q4_K_XL, ~16 GiB)      | `llamacpp-qwen36-27b.llamacpp:80`         |
-| `qwen3.6-36b-a3b` | Qwen3.6-35B-A3B (MoE/flash)| unsloth/Qwen3.6-35B-A3B-MTP-GGUF (Q4_K_XL, ~20 GiB)  | `llamacpp-qwen36-36b-a3b.llamacpp:80`     |
+| `qwen3.6-35b-a3b` | Qwen3.6-35B-A3B (MoE/flash)| unsloth/Qwen3.6-35B-A3B-MTP-GGUF (Q4_K_XL, ~20 GiB)  | `llamacpp-qwen36-35b-a3b.llamacpp:80`     |
 
 The 35B-A3B is a Mixture-of-Experts model (3B active params per token), so
 inference is significantly faster than the dense 27B despite more total weights —
@@ -42,7 +42,7 @@ group GID) if desired.
 
 ```bash
 kubectl logs -n llamacpp deploy/llamacpp-qwen36-27b     | grep -iE 'vulkan|gpu|offload|device'
-kubectl logs -n llamacpp deploy/llamacpp-qwen36-36b-a3b  | grep -iE 'vulkan|gpu|offload|device'
+kubectl logs -n llamacpp deploy/llamacpp-qwen36-35b-a3b  | grep -iE 'vulkan|gpu|offload|device'
 ```
 
 If only a CPU device shows up, the container can't see the GPU — check that
@@ -55,7 +55,7 @@ Both models run simultaneously on the same 96 GiB VRAM pool. Approximate usage:
 | Model             | Weights  | KV cache (32k×4) | Subtotal |
 |-------------------|----------|-------------------|----------|
 | qwen3.6-27b       | ~16 GiB  | ~34 GiB           | ~50 GiB  |
-| qwen3.6-36b-a3b   | ~20 GiB  | ~10 GiB           | ~30 GiB  |
+| qwen3.6-35b-a3b   | ~20 GiB  | ~10 GiB           | ~30 GiB  |
 | **Total**         |          |                   | **~80 GiB** |
 
 ~16 GiB headroom — comfortable but not infinite. If VRAM is exhausted ( Vulkan

llamacpp/deployment-qwen36-35b-a3b.yaml

@@ -18,11 +18,11 @@
 apiVersion: apps/v1
 kind: Deployment
 metadata:
-  name: llamacpp-qwen36-36b-a3b
+  name: llamacpp-qwen36-35b-a3b
   namespace: llamacpp
   labels:
     app: llamacpp
-    model: qwen3.6-36b-a3b
+    model: qwen3.6-35b-a3b
 spec:
   replicas: 1
   strategy:
@@ -30,12 +30,12 @@ spec:
   selector:
     matchLabels:
       app: llamacpp
-      model: qwen3.6-36b-a3b
+      model: qwen3.6-35b-a3b
   template:
     metadata:
       labels:
         app: llamacpp
-        model: qwen3.6-36b-a3b
+        model: qwen3.6-35b-a3b
     spec:
       nodeSelector:
         kubernetes.io/arch: amd64
@@ -76,7 +76,7 @@ spec:
         - -m                       # model file
         - /models/Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf
         - --alias                 # /v1/models reports this name; matches the litellm alias
-        - qwen3.6-36b-a3b
+        - qwen3.6-35b-a3b
         - --host
         - 0.0.0.0
         - --port
@@ -142,16 +142,16 @@ spec:
 apiVersion: v1
 kind: Service
 metadata:
-  name: llamacpp-qwen36-36b-a3b
+  name: llamacpp-qwen36-35b-a3b
   namespace: llamacpp
   labels:
     app: llamacpp
-    model: qwen3.6-36b-a3b
+    model: qwen3.6-35b-a3b
 spec:
   type: ClusterIP
   selector:
     app: llamacpp
-    model: qwen3.6-36b-a3b
+    model: qwen3.6-35b-a3b
   ports:
   - name: http
     port: 80

platform-engineer/README.md

@@ -44,7 +44,7 @@ platform-engineer/
 ├── pvc.yaml                     # persistent /opt/data (HERMES_HOME)
 ├── dockerfile                   # derived image: hermes-agent + kubectl + helm
 ├── deployment.yaml              # Deployment, schedules on amd64, mounts kube SA token
-├── ingress.yaml                 # hermes.rogi.casa → dashboard (optional)
+├── ingress.yaml                 # platform-engineer.rogi.casa → dashboard (optional)
 └── README.md                    # this file
 ```
 
@@ -196,7 +196,7 @@ HERMES_DASHBOARD_BASIC_AUTH_PASSWORD=<strong password>
   2–4 GiB; 1 GiB is fine without browser tools, which we keep off).
 - Volume: PVC mounted at `/opt/data` (HERMES_HOME), RWX not needed (single pod).
 - Ports: 8642 (gateway API, internal only) and 9119 (dashboard) → exposed via
-  Ingress `hermes.rogi.casa` with TLS + basic-auth (already enforced by the
+  Ingress `platform-engineer.rogi.casa` with TLS + basic-auth (already enforced by the
   `HERMES_DASHBOARD_BASIC_AUTH_*` env vars).
 - `imagePullSecrets: gitea-registry`.
 - env from Secret; `HERMES_DASHBOARD=1`.
@@ -283,7 +283,7 @@ Design rules baked into SOUL.md:
 
 1. **Notifications:** dedicated `platform-engineer` Discord bot → its own token
    in `secret.yaml` (`DISCORD_BOT_TOKEN`, `DISCORD_HOME_CHANNEL`).
-2. **Dashboard:** public at `hermes.rogi.casa` (Traefik TLS + cert-manager + the
+2. **Dashboard:** public at `platform-engineer.rogi.casa` (Traefik TLS + cert-manager + the
    bundled Hermes basic-auth provider). Reach the dashboard on port 9119; the
    gateway API on 8642 is ClusterIP-only.
 3. **Image:** derived image pushed to `git.rogi.casa/roger/hermes-agent`, pulled
@@ -322,7 +322,7 @@ Design rules baked into SOUL.md:
    set the LiteLLM master key as `OPENAI_API_KEY` and a strong dashboard
    password + a 32-byte session secret.
 5. **Commit & push** the whole change. ArgoCD will create the namespace
-   resources, deploy the pod, and bring up the ingress at `hermes.rogi.casa`.
+   resources, deploy the pod, and bring up the ingress at `platform-engineer.rogi.casa`.
 6. **Seed the cron jobs:**
    `kubectl apply -f platform-engineer/cron-seed.yaml` (one-shot Job) — it waits
    for the hermes pod, then runs `hermes cron create ...` for each watchdog.
@@ -357,7 +357,7 @@ Design rules baked into SOUL.md:
 | `dockerfile` | derived image: hermes-agent + kubectl + helm (linux/amd64) |
 | `build-and-push.sh` | builds & pushes the image to the Gitea registry |
 | `deployment.yaml` | Deployment (1 replica, Recreate, pinned to amd64 NUC) + Service |
-| `ingress.yaml` | `hermes.rogi.casa` → dashboard (TLS + basic auth) |
+| `ingress.yaml` | `platform-engineer.rogi.casa` → dashboard (TLS + basic auth) |
 | `cron-seed.yaml` | one-shot Job that creates the Hermes cron schedule |
 
 Also changed outside this directory:

platform-engineer/configmap.yaml

@@ -16,11 +16,11 @@ data:
     auxiliary:
       compression:
         provider: openai-api
-        model: qwen3.6-27b
+        model: qwen3.6-35b-a3b    # flash model for speed-sensitive auxiliary tasks
         base_url: "http://litellm-service.litellm:80/v1"
       title_generation:
         provider: openai-api
-        model: qwen3.6-27b
+        model: qwen3.6-35b-a3b    # flash model for speed-sensitive auxiliary tasks
         base_url: "http://litellm-service.litellm:80/v1"
 
     terminal:

platform-engineer/cron-seed.yaml

@@ -54,6 +54,12 @@ spec:
 
           exists() { kubectl -n platform-engineer exec "$POD" -- hermes cron list 2>/dev/null | grep -qi " $1 "; }
 
+          # NOTE: `hermes cron create` has no --model flag. New jobs inherit the
+          # global default model from config.yaml at creation time. To pin a
+          # specific model per-job (e.g. the flash model qwen3.6-35b-a3b for all
+          # cron tasks), edit /opt/data/cron/jobs.json directly after seeding:
+          #   kubectl exec deploy/hermes -- python3 -c "...set model field..."
+          # See llamacpp/README.md and the deployment notes for details.
           create() {
             name="$1"; schedule="$2"; deliver="$3"; prompt="$4"
             if exists "$name"; then

platform-engineer/ingress.yaml

@@ -9,10 +9,10 @@ spec:
   ingressClassName: traefik
   tls:
   - hosts:
-    - hermes.rogi.casa
+    - platform-engineer.rogi.casa
-    secretName: hermes-tls
+    secretName: platform-engineer-tls
   rules:
-  - host: hermes.rogi.casa
+  - host: platform-engineer.rogi.casa
     http:
       paths:
         - path: /