feat(llama-server): 32k context per slot for the Assist agent

The Home Assistant conversation agent is configured and refuses every
request:

    API error: request (18910 tokens) exceeds the available
    context size (16384 tokens), try increasing it

18910 breaks down as ~12k for the exposed-entity overview and ~7k for
the base instructions and tool schemas, whose parameters enumerate every
exposed name, area and floor. Trimming the exposed set from 845 entities
to 666 already took the overview from 16045 tokens to 12048; the
remainder is not the sort of thing curation reaches.

--ctx-size is per slot rather than the total, which is what makes this
affordable: /props reports n_ctx_slot equal to the flag while running
four slots, where a total would have divided down to 4096. Doubling the
flag alone would double the KV cache, so the slot count halves in step
and the allocation lands where it already is -- 24979 MiB against the
32Gi limit, most of it the 19.5 GiB of weights.

Two slots matches the actual callers: one holds Home Assistant's prompt,
one holds Paperless's, and prompt caching keeps each warm. A cold prefill
of this prompt costs about two minutes, so a third caller queueing is a
better outcome than it evicting one of them.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

kubernetes/apps/llama-server/deployment.yaml

@@ -75,11 +75,27 @@ spec:
             # many small per-expert matmuls that sets the pace, not bandwidth.
             - --threads
             - "4"
-            # 16k rather than 8k because the measured prefill falloff is mild
-            # and this model's KV cache is unusually cheap — only 10 of its 40
-            # layers use full attention.
+            # 32k because Home Assistant's Assist agent measured 18910 tokens
+            # for a single request: ~12k of exposed-entity overview plus ~7k of
+            # base instructions and tool schemas, whose parameters enumerate
+            # every exposed name, area and floor. At 16384 the request was
+            # refused outright.
+            #
+            # --ctx-size is per slot, not the total: /props reports
+            # n_ctx_slot equal to this value while running four slots, where a
+            # total would have divided down to 4096. Doubling it alone would
+            # therefore double the KV cache, so the slot count halves in step
+            # and the allocation stays where it is today — 24979 MiB of the
+            # 32Gi limit, most of it the 19.5 GiB of weights.
+            #
+            # Two slots is what is actually in use: one holds Home Assistant's
+            # prompt, one holds Paperless's. A third caller would queue rather
+            # than evict either, which is the better failure mode given a cold
+            # prefill of this prompt costs around two minutes.
             - --ctx-size
-            - "16384"
+            - "32768"
+            - --parallel
+            - "2"
             # A micro-batch of 2048 or more makes this Vulkan/Mesa stack fail
             # with ErrorDeviceLost.
             - --ubatch-size

kubernetes/apps/monitoring-rules/crowdsec-servicemonitor.yaml

@@ -0,0 +1,36 @@
+# Scrapes CrowdSec. Until this landed, nothing did: `up{namespace="crowdsec"}`
+# returned zero series and Prometheus held no cs_* metric at all, so the
+# detection side of the ingress path was invisible — including whether the
+# agents were reading logs and whether any bouncer was pulling decisions.
+#
+# One monitor for both services. They carry the same shape (a `metrics` port on
+# 6060) and differ only in `app`, so a matchExpressions selector keeps this to
+# a single object rather than two near-identical ones:
+#
+#   crowdsec-service        the LAPI      — decisions, bouncer + machine requests
+#   crowdsec-agent-service  the agents    — acquisition, parsers, scenarios
+#
+# The crowdsec-ns CiliumNetworkPolicy already admits the monitoring namespace
+# without a port restriction, so no policy change is needed.
+#
+# `release: kube-prometheus-stack` is what the chart's Prometheus selects on.
+apiVersion: monitoring.coreos.com/v1
+kind: ServiceMonitor
+metadata:
+  name: crowdsec
+  namespace: crowdsec
+  labels:
+    app.kubernetes.io/name: crowdsec
+    release: kube-prometheus-stack
+spec:
+  selector:
+    matchExpressions:
+      - key: app
+        operator: In
+        values:
+          - crowdsec-service
+          - crowdsec-agent-service
+  endpoints:
+    - port: metrics
+      path: /metrics
+      interval: 30s

kubernetes/apps/monitoring-rules/kustomization.yaml

@@ -23,6 +23,7 @@ resources:
   - prometheusrule-cnpg-backup.yaml
   - alloy-servicemonitor.yaml
   - cnpg-podmonitors.yaml
+  - crowdsec-servicemonitor.yaml
   - home-assistant-servicemonitor.yaml
   - immich-servicemonitor.yaml
   - loki-servicemonitor.yaml

kubernetes/apps/monitoring/dashboards/crowdsec-overview.json

@@ -0,0 +1,163 @@
+{
+  "annotations": {"list": []},
+  "description": "CrowdSec: Erkennung im Cluster, Durchsetzung am NetBird-Edge",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Aktive Ban-Entscheidungen in der LAPI, ganz überwiegend aus den CAPI-Community-Blocklisten. Das ist die Menge, die ein scharfgeschalteter Bouncer durchsetzt.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "thresholds"}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "text", "value": null}]}, "unit": "short"},
+        "overrides": []
+      },
+      "gridPos": {"h": 4, "w": 6, "x": 0, "y": 0},
+      "id": 1,
+      "options": {"colorMode": "value", "graphMode": "area", "justifyMode": "auto", "orientation": "auto", "reduceOptions": {"calcs": ["lastNotNull"], "fields": "", "values": false}, "textMode": "auto"},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum(cs_active_decisions)", "refId": "A"}],
+      "title": "Aktive Decisions",
+      "type": "stat"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Bouncer, die in den letzten 10 Minuten Decisions abgeholt haben. Fällt das unter die erwartete Zahl, holt ein Bouncer nichts mehr — und setzt damit einen veralteten Stand durch, ohne dass irgendetwas ausfällt.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "thresholds"}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "red", "value": null}, {"color": "green", "value": 1}]}, "unit": "short"},
+        "overrides": []
+      },
+      "gridPos": {"h": 4, "w": 6, "x": 6, "y": 0},
+      "id": 2,
+      "options": {"colorMode": "value", "graphMode": "none", "justifyMode": "auto", "orientation": "auto", "reduceOptions": {"calcs": ["lastNotNull"], "fields": "", "values": false}, "textMode": "auto"},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "count(sum by (bouncer) (rate(cs_lapi_bouncer_requests_total[10m])) > 0)", "refId": "A"}],
+      "title": "Bouncer, die abholen",
+      "type": "stat"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Vom Agent gelesene Logzeilen pro Sekunde. Steht das auf 0, detektiert CrowdSec nichts mehr — der häufigste stille Ausfall, weil alles andere weiterläuft.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "thresholds"}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "red", "value": null}, {"color": "green", "value": 0.01}]}, "unit": "reqps"},
+        "overrides": []
+      },
+      "gridPos": {"h": 4, "w": 6, "x": 12, "y": 0},
+      "id": 3,
+      "options": {"colorMode": "value", "graphMode": "area", "justifyMode": "auto", "orientation": "auto", "reduceOptions": {"calcs": ["lastNotNull"], "fields": "", "values": false}, "textMode": "auto"},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum(rate(cs_filesource_hits_total[5m]))", "refId": "A"}],
+      "title": "Gelesene Logzeilen/s",
+      "type": "stat"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Szenario-Overflows der letzten 24 h — also lokal erkannte Angriffe, im Gegensatz zu den von CAPI übernommenen.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "thresholds"}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "text", "value": null}]}, "unit": "short"},
+        "overrides": []
+      },
+      "gridPos": {"h": 4, "w": 6, "x": 18, "y": 0},
+      "id": 4,
+      "options": {"colorMode": "value", "graphMode": "area", "justifyMode": "auto", "orientation": "auto", "reduceOptions": {"calcs": ["lastNotNull"], "fields": "", "values": false}, "textMode": "auto"},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum(increase(cs_bucket_overflowed_total[24h]))", "refId": "A"}],
+      "title": "Lokale Overflows (24 h)",
+      "type": "stat"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Abholrate je Bouncer. Der Firewall-Bouncer auf den Proxies fragt alle 10 s. Die LAPI legt bei jeder neuen beobachteten Client-Adresse einen Eintrag `<name>@<ip>` an, und beobachtet wird die Pod-IP des netbird-ingress-Peers — deshalb erscheint ein logischer Bouncer hier mehrfach und nach Pod-Rollen unter neuen Namen.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "palette-classic"}, "custom": {"axisCenteredZero": false, "axisColorMode": "text", "axisLabel": "", "axisPlacement": "auto", "barAlignment": 0, "drawStyle": "line", "fillOpacity": 10, "gradientMode": "none", "hideFrom": {"legend": false, "tooltip": false, "viz": false}, "lineInterpolation": "linear", "lineWidth": 1, "pointSize": 5, "scaleDistribution": {"type": "linear"}, "showPoints": "never", "spanNulls": false, "stacking": {"group": "A", "mode": "none"}, "thresholdsStyle": {"mode": "off"}}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "green", "value": null}]}, "unit": "reqps"},
+        "overrides": []
+      },
+      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 4},
+      "id": 5,
+      "options": {"legend": {"calcs": ["lastNotNull"], "displayMode": "table", "placement": "right", "showLegend": true}, "tooltip": {"mode": "multi", "sort": "desc"}},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum by (bouncer) (rate(cs_lapi_bouncer_requests_total[5m]))", "legendFormat": "{{bouncer}}", "refId": "A"}],
+      "title": "Bouncer-Abholrate",
+      "type": "timeseries"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Aktive Decisions nach Grund. `http:scan` dominiert und stammt aus den CAPI-Blocklisten.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "palette-classic"}, "custom": {"axisCenteredZero": false, "axisColorMode": "text", "axisLabel": "", "axisPlacement": "auto", "barAlignment": 0, "drawStyle": "line", "fillOpacity": 20, "gradientMode": "none", "hideFrom": {"legend": false, "tooltip": false, "viz": false}, "lineInterpolation": "linear", "lineWidth": 1, "pointSize": 5, "scaleDistribution": {"type": "linear"}, "showPoints": "never", "spanNulls": false, "stacking": {"group": "A", "mode": "normal"}, "thresholdsStyle": {"mode": "off"}}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "green", "value": null}]}, "unit": "short"},
+        "overrides": []
+      },
+      "gridPos": {"h": 8, "w": 12, "x": 12, "y": 4},
+      "id": 6,
+      "options": {"legend": {"calcs": ["lastNotNull"], "displayMode": "table", "placement": "right", "showLegend": true}, "tooltip": {"mode": "multi", "sort": "desc"}},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum by (reason) (cs_active_decisions)", "legendFormat": "{{reason}}", "refId": "A"}],
+      "title": "Aktive Decisions nach Grund",
+      "type": "timeseries"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Welche Szenarien lokal auslösen. Das ist das, was CrowdSec selbst aus den Traefik-Logs erkennt.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "palette-classic"}, "custom": {"axisCenteredZero": false, "axisColorMode": "text", "axisLabel": "", "axisPlacement": "auto", "barAlignment": 0, "drawStyle": "bars", "fillOpacity": 70, "gradientMode": "none", "hideFrom": {"legend": false, "tooltip": false, "viz": false}, "lineInterpolation": "linear", "lineWidth": 1, "pointSize": 5, "scaleDistribution": {"type": "linear"}, "showPoints": "never", "spanNulls": false, "stacking": {"group": "A", "mode": "normal"}, "thresholdsStyle": {"mode": "off"}}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "green", "value": null}]}, "unit": "short"},
+        "overrides": []
+      },
+      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 12},
+      "id": 7,
+      "options": {"legend": {"calcs": ["sum"], "displayMode": "table", "placement": "right", "showLegend": true}, "tooltip": {"mode": "multi", "sort": "desc"}},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum by (name) (increase(cs_bucket_overflowed_total[1h]))", "legendFormat": "{{name}}", "refId": "A"}],
+      "title": "Szenario-Overflows (je Stunde)",
+      "type": "timeseries"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Geparste gegen nicht geparste Zeilen. Ein Anstieg bei `ko` heißt meist, dass sich ein Logformat geändert hat und der Parser nicht mehr greift — CrowdSec liest dann weiter, erkennt aber nichts mehr.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "palette-classic"}, "custom": {"axisCenteredZero": false, "axisColorMode": "text", "axisLabel": "", "axisPlacement": "auto", "barAlignment": 0, "drawStyle": "line", "fillOpacity": 10, "gradientMode": "none", "hideFrom": {"legend": false, "tooltip": false, "viz": false}, "lineInterpolation": "linear", "lineWidth": 1, "pointSize": 5, "scaleDistribution": {"type": "linear"}, "showPoints": "never", "spanNulls": false, "stacking": {"group": "A", "mode": "none"}, "thresholdsStyle": {"mode": "off"}}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "green", "value": null}]}, "unit": "reqps"},
+        "overrides": []
+      },
+      "gridPos": {"h": 8, "w": 12, "x": 12, "y": 12},
+      "id": 8,
+      "options": {"legend": {"calcs": ["lastNotNull"], "displayMode": "list", "placement": "bottom", "showLegend": true}, "tooltip": {"mode": "multi", "sort": "desc"}},
+      "targets": [
+        {"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum(rate(cs_parser_hits_ok_total[5m]))", "legendFormat": "geparst", "refId": "A"},
+        {"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum(rate(cs_parser_hits_ko_total[5m]))", "legendFormat": "nicht geparst", "refId": "B"}
+      ],
+      "title": "Parser",
+      "type": "timeseries"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "description": "Whitelist-Treffer nach Grund. Nützlich beim Scharfschalten: was hier zählt, wäre sonst ein Kandidat für einen Ban gewesen.",
+      "fieldConfig": {
+        "defaults": {"color": {"mode": "palette-classic"}, "custom": {"axisCenteredZero": false, "axisColorMode": "text", "axisLabel": "", "axisPlacement": "auto", "barAlignment": 0, "drawStyle": "line", "fillOpacity": 10, "gradientMode": "none", "hideFrom": {"legend": false, "tooltip": false, "viz": false}, "lineInterpolation": "linear", "lineWidth": 1, "pointSize": 5, "scaleDistribution": {"type": "linear"}, "showPoints": "never", "spanNulls": false, "stacking": {"group": "A", "mode": "none"}, "thresholdsStyle": {"mode": "off"}}, "mappings": [], "thresholds": {"mode": "absolute", "steps": [{"color": "green", "value": null}]}, "unit": "reqps"},
+        "overrides": []
+      },
+      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 20},
+      "id": 9,
+      "options": {"legend": {"calcs": ["lastNotNull"], "displayMode": "table", "placement": "right", "showLegend": true}, "tooltip": {"mode": "multi", "sort": "desc"}},
+      "targets": [{"datasource": {"type": "prometheus", "uid": "prometheus"}, "expr": "sum by (reason) (rate(cs_node_wl_hits_ok_total[5m]))", "legendFormat": "{{reason}}", "refId": "A"}],
+      "title": "Whitelist-Treffer",
+      "type": "timeseries"
+    },
+    {
+      "datasource": {"type": "prometheus", "uid": "prometheus"},
+      "gridPos": {"h": 8, "w": 12, "x": 12, "y": 20},
+      "id": 10,
+      "options": {
+        "code": {"language": "plaintext", "showLineNumbers": false, "showMiniMap": false},
+        "content": "## Was dieses Dashboard NICHT zeigt\n\nAlle Panels stammen aus der LAPI und den Agents im Cluster. Die **Bouncer auf proxy-1 und proxy-2 exportieren eigene Metriken**, die hier fehlen:\n\n- `fw_bouncer_active_decisions` — was tatsächlich in den nftables-Sets steht\n- `fw_bouncer_dropped_packets` / `_bytes` — was wirklich verworfen wurde\n- `lapi_requests_total` / `_failures_total` — aus Sicht des Bouncers\n\nSie liegen auf `127.0.0.1:60601` der Proxy-Hosts. Die Hosts sind öffentlich und haben bisher keinerlei Metrik-Pfad; den Port ins Internet zu öffnen, nur um ein Scrape-Ziel zu bekommen, wäre der falsche Tausch.\n\n**Konsequenz:** „Bouncer-Abholrate\" oben zeigt, dass ein Bouncer *fragt* — nicht, dass er die Antwort auch angewandt hat. Solange der Modus `dry-run` ist, wendet er ohnehin nichts an.\n\nEin Scrape-Pfad für die Hosts ist eigene Arbeit und Voraussetzung dafür, dass „was wird wirklich geblockt\" beantwortbar wird."
+      },
+      "title": "Blinder Fleck",
+      "type": "text"
+    }
+  ],
+  "refresh": "30s",
+  "schemaVersion": 38,
+  "style": "dark",
+  "tags": ["homelab", "crowdsec", "security"],
+  "templating": {"list": []},
+  "time": {"from": "now-6h", "to": "now"},
+  "timepicker": {},
+  "timezone": "",
+  "title": "CrowdSec Overview",
+  "uid": "crowdsec-overview",
+  "version": 1,
+  "weekStart": ""
+}

kubernetes/apps/monitoring/dashboards/kustomization.yaml

@@ -38,6 +38,9 @@ configMapGenerator:
   - name: dashboard-blackbox-overview
     files:
       - blackbox-overview.json
+  - name: dashboard-crowdsec-overview
+    files:
+      - crowdsec-overview.json
   - name: dashboard-disk-health
     files:
       - disk-health.json

kubernetes/infrastructure/crowdsec/helmrelease.yaml

@@ -108,6 +108,24 @@ spec:
 
     lapi:
       replicas: 1
+      service:
+        # Backend wiring for the public LAPI Ingress (lapi-ingress.yaml).
+        #
+        # These belong on the SERVICE, not on the Ingress: under the Kubernetes
+        # Ingress provider `traefik.ingress.kubernetes.io/service.*` are service
+        # annotations, and on an Ingress they are silently ignored. The symptom
+        # is Traefik speaking plaintext to a TLS-only backend, which the LAPI
+        # answers with "Client sent an HTTP request to an HTTPS server." and a
+        # 400 — an error that looks like a malformed request rather than a
+        # scheme mismatch.
+        #
+        # With tls.enabled the LAPI serves HTTPS on 8080 and offers no
+        # plaintext port, so https here is mandatory rather than a hardening
+        # choice. The ServersTransport carries the chart's own CA, since that
+        # certificate is self-signed.
+        annotations:
+          traefik.ingress.kubernetes.io/service.serversscheme: https
+          traefik.ingress.kubernetes.io/service.serverstransport: crowdsec-crowdsec-lapi@kubernetescrd
       # Far below the chart default, which reserves half a core per LAPI for a
       # workload that draws single-digit millicores — enough to leave the
       # cluster unschedulable with one node out. Only the reservation shrinks;

kubernetes/infrastructure/crowdsec/lapi-ingress.yaml

@@ -44,8 +44,8 @@ metadata:
   namespace: crowdsec
 spec:
   serverName: crowdsec-service.crowdsec.svc.cluster.local
-  rootCAsSecrets:
-    - crowdsec-root-secret
+  rootCAs:
+    - secret: crowdsec-root-secret
 ---
 apiVersion: networking.k8s.io/v1
 kind: Ingress
@@ -60,8 +60,12 @@ metadata:
     cert-manager.io/cluster-issuer: letsencrypt-cluster
     # NOT behind the Authentik gate: the client is a daemon with an API key,
     # not a browser that can complete an OIDC flow.
-    traefik.ingress.kubernetes.io/service.serversscheme: https
-    traefik.ingress.kubernetes.io/service.serverstransport: crowdsec-crowdsec-lapi@kubernetescrd
+    #
+    # The backend scheme and ServersTransport are NOT set here. Under the
+    # Kubernetes Ingress provider, `traefik.ingress.kubernetes.io/service.*`
+    # are SERVICE annotations — on an Ingress they are silently ignored, and
+    # Traefik then talks plaintext to a TLS-only backend. They live on the
+    # chart's Service instead, via lapi.service.annotations in helmrelease.yaml.
 spec:
   ingressClassName: traefik
   rules:

kubernetes/infrastructure/network-policies/ai-ns.yaml

@@ -34,6 +34,17 @@ spec:
         - ports:
             - port: "8080"
               protocol: TCP
+    # Home Assistant's llama.cpp conversation agent calls the chat model only —
+    # it has no use for the embedding endpoint, so unlike paperless above this
+    # grant does not extend to llama-embed.
+    - fromEndpoints:
+        - matchLabels:
+            "k8s:io.kubernetes.pod.namespace": home-assistant
+            app.kubernetes.io/name: home-assistant
+      toPorts:
+        - ports:
+            - port: "8080"
+              protocol: TCP
     - fromEndpoints:
         - matchLabels:
             "k8s:io.kubernetes.pod.namespace": monitoring

kubernetes/infrastructure/network-policies/home-assistant-ns.yaml

@@ -167,6 +167,18 @@ spec:
     - toEndpoints:
         - matchLabels:
             "k8s:io.kubernetes.pod.namespace": influxdb
+    # The cluster's own chat model, for the llama.cpp conversation agent that
+    # backs Assist. Scoped to the one pod and port rather than the ai namespace
+    # as a whole, so this grant cannot widen if something else is placed there —
+    # the embedding endpoint next to it is deliberately not included.
+    - toEndpoints:
+        - matchLabels:
+            "k8s:io.kubernetes.pod.namespace": ai
+            app.kubernetes.io/name: llama-server
+      toPorts:
+        - ports:
+            - port: "8080"
+              protocol: TCP
     # traefik for east-west OIDC roundtrips that go through the
     # public hostname via k8s_gateway.
     - toEndpoints: