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claude-botandClaude Opus 5 7903c81c9a feat(network-policies): let Home Assistant reach the chat model
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HA 2026.8.3 ships a native `llama_cpp` integration, so an Assist
conversation agent backed by the cluster's own model needs no custom
component — only a path from the HA pod to llama-server, which two
default-deny policies currently block in both directions. Verified from
inside the pod: the call to llama-server.ai.svc.cluster.local:8080 times
out today.

Both grants are scoped to the single pod and port, mirroring the
paperless grant next to them, so neither widens if something else is
placed in the other namespace. llama-embed is deliberately excluded: the
conversation agent uses chat completions only.

Tool calling was verified against the running model before adding this —
the Assist API requires it, and llama.cpp only exposes it for some
builds. b10731 returns finish_reason=tool_calls and parses German
commands into the right arguments without --jinja.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 14:18:30 +02:00
4 changed files with 27 additions and 26 deletions
@@ -108,24 +108,6 @@ 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;
@@ -44,8 +44,8 @@ metadata:
namespace: crowdsec
spec:
serverName: crowdsec-service.crowdsec.svc.cluster.local
rootCAs:
- secret: crowdsec-root-secret
rootCAsSecrets:
- crowdsec-root-secret
---
apiVersion: networking.k8s.io/v1
kind: Ingress
@@ -60,12 +60,8 @@ 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.
#
# 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.
traefik.ingress.kubernetes.io/service.serversscheme: https
traefik.ingress.kubernetes.io/service.serverstransport: crowdsec-crowdsec-lapi@kubernetescrd
spec:
ingressClassName: traefik
rules:
@@ -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
@@ -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: