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claude-botandClaude Opus 5 2d263113c4 feat(monitoring): alert on CrowdSec, starting with the failure that hides
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Three rules, and the first one is firing right now for a real reason.

CrowdsecNotReadingLogs. Both agents are frozen at their line counts —
29,917 and 35,449 — with zero increase over an hour, while Traefik keeps
logging and Loki keeps ingesting. cs_bucket_poured_total has not moved in two
hours either: nothing is flowing into any scenario. CrowdSec has not detected
anything since 2026-08-27.

Nothing else shows it. Pods are Running, the LAPI answers, the bouncers pull
and enforce. The line counters are cumulative, so `cscli metrics` reports a
large number and reads as healthy; only the rate distinguishes "has read" from
"is reading". I made exactly that mistake earlier in the day: I checked the
cumulative figure, concluded the pipeline was working, and dismissed a wiki
note about the tailer not reattaching after a log rotation as stale. It was
not stale. And the absence of alerts since 08-27, which I read as a quiet
period, was the symptom.

CrowdsecEdgeBouncerNotPulling counts rather than names. The LAPI registers a
new bouncer per observed client address, and what it observes is the
netbird-ingress pod IP, so `edge@10.244.0.113` and its successors come and go
as those pods roll — a name-based rule would decay. `or vector(0)` is there
because without it the total-failure case is the one the alert misses: all
bouncers silent means the inner filter is empty, count() returns no series,
and nothing fires.

CrowdsecTargetDown is the ordinary one.

Both expressions were run against live data before being written down: the
bouncer count returns 2, and the acquisition rate returns 0 — which is how the
outage was found in the first place.

This does not fix the stalled tailer. Restarting the agents picks up the
current file, but the reattach behaviour is the actual bug and belongs in its
own change.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-03 06:45:36 +02:00
k.renner 87cc238d33 Merge pull request 'fix(llama-server): one slot, so 16k belongs to one request' (#771) from llama-single-slot into master
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Reviewed-on: k.renner/homelab#771
2026-09-02 19:34:27 +00:00
claude-botandClaude Opus 5 353b7882d7 fix(llama-server): one slot, so 16k belongs to one request
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Four Paperless requests overlapped and all four died:

    decode: failed to find free space in the KV cache
    srv decode: Context size has been exceeded.

They wanted 6209, 6472, 4303 and 1271 tokens from a shared pool of
16384. Auto slot count opens four of them and is also what enables
--kv-unified, so they draw on one buffer rather than a quarter each --
generous for a single caller, and impossible for four.

They overlapped because a client timeout does not stop the generation
behind it. The eval abandons a request after 300 s and moves to the next
document; the abandoned one keeps consuming the budget the next one
needs, and one slow document is enough to start the pile-up. With one
slot they queue instead, which is what should happen: nothing calls this
server in parallel on purpose, and Paperless's celery worker runs at
concurrency 1.

Deliberately no liveness probe alongside this. /health answered 200 in
0.4 ms throughout, which looks like the probe failing at its job -- but
the server drained the batch and served again by itself, so a probe that
restarted the pod would have turned a self-healing incident into an
outage. With a single slot, a probe asking for a real completion would
also queue behind live work and kill healthy pods mid-document.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 21:31:05 +02:00
k.renner 403a8e0e90 Merge pull request 'fix(llama-server): back to 16k — 32k per slot corrupts inference' (#770) from llama-ctx-revert into master
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Reviewed-on: k.renner/homelab#770
2026-09-02 19:06:25 +00:00
claude-botandClaude Opus 5 5023a5971b fix(llama-server): back to 16k — 32k per slot corrupts inference
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#767 broke the model. Asked to classify a document and answer with JSON
only, the server returned 1025 tokens of "!" against a 650-token prompt.
That is the KV cache emitting numbers rather than language, and it takes
everything downstream with it: Paperless ran past its 300 s timeout on
every document, Home Assistant got an empty completion once and a
hallucinated list of devices that do not exist another time.

None of that looked like a backend fault from the outside. The server
starts, /props reports the requested size, /health passes, and the
OpenAI response is well-formed with finish_reason "stop". Only the
generated text gives it away, which is why three separate symptoms got
blamed on prompt size, on tokenizer behaviour and on the RAG context
before anyone read the output.

The boundary is between the two changes rather than at either: #765 left
16384 per slot and produced coherent answers; #767 raised it to 32768 and
produced this. The same Vulkan/Mesa stack already fails at --ubatch-size
2048 with ErrorDeviceLost, so a ceiling here is not a surprise -- only
that it degrades quietly instead of erroring.

--parallel goes with it. Unset, slots return to auto, which is what keeps
--kv-unified enabled ("if number of slots is auto"), so the auto slots
share one buffer and each may draw the full 16384.

Home Assistant needed 18910 tokens for one Assist request and cannot have
them at this ceiling. That path is closed, and Paperless -- which fits in
16k and never needed more -- is what this restores.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 21:05:03 +02:00
k.renner 1951497175 Merge pull request 'feat(crowdsec): arm the bouncer everywhere, drop the per-host override' (#769) from arm-crowdsec-proxy-1 into master
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Reviewed-on: k.renner/homelab#769
2026-09-02 18:57:09 +00:00
security-bot ad32ab566b chore(image-automation): bump ghcr.io/home-assistant/home-assistant:2026.9.0
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Updates managed by image-automation-controller.
2026-09-02 16:23:17 +00:00
claude-botandClaude Opus 5 b96260cef2 feat(crowdsec): arm the bouncer everywhere, drop the per-host override
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proxy-2 has been enforcing since 14:21:54 without incident, so the role
default moves to nftables and the host_vars override goes away rather than
being duplicated for proxy-1. proxy-2's rendered config is unchanged by this,
so it will not restart; only proxy-1 does.

The staged rollout did its job and can be read off the deploy log:

  proxy-1: deployed in mode "dry-run"
  proxy-2: deployed in mode "nftables"

and only proxy-2 restarted, which showed up as a 1,887,882-byte startup pull
from its address alone.

The delivery path was tested in enforcing mode with a decision on 192.0.2.1
(TEST-NET-1): both hosts had the ban 3s later as a 205-byte delta, and the
revocation as a 203-byte delta 1-2s after deletion.

What is still not proven is that a packet is actually dropped, and the
measurement for that argues for finishing the rollout rather than waiting.
Requests from banned addresses reaching Traefik stopped after proxy-2 armed —
1 at 14:02, 3 at 14:07, 22 at 14:08, 1 at 14:18, none after — but 25 of those
27 arrived in a single burst beforehand, so at this volume that is consistent
with enforcement rather than evidence of it. With both hosts armed the claim
becomes falsifiable instead: no request from an address in the decision set
should reach Traefik at all, and a single one would prove otherwise.

dry-run remains available per host through inventory/host_vars, which is what
a newly added proxy should get before it enforces.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 16:28:25 +02:00
k.renner 67b0fece93 Merge pull request 'fix(ci): deploy the proxies when their inventory changes, not just their roles' (#768) from fix-proxy-deploy-triggers into master
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Reviewed-on: k.renner/homelab#768
2026-09-02 14:19:21 +00:00
k.renner 91849e31ff Merge pull request 'fix(llama-server): --ctx-size is the total, so ask for 65536' (#767) from llama-ctx-fix into master
Reviewed-on: k.renner/homelab#767
2026-09-02 14:17:24 +00:00
claude-botandClaude Opus 5 021fd6a4ed docs(llama-server): cite the flag semantics instead of inferring them
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`llama-server --help` documents both halves of what #765 got wrong, and
it ships in the image:

    -np, --parallel N   number of server slots (default: -1, -1 = auto)
    -kvu, --kv-unified  use single unified KV buffer shared across all
                        sequences (default: enabled if number of slots
                        is auto)

So leaving --parallel unset did not merely pick a slot count, it enabled
a shared KV buffer that every slot could draw the full --ctx-size from.
That is why this server reported n_ctx_slot 16384 across four slots, and
the startup log said so outright: kv_unified = 'true'. Naming a slot
count switches that off and splits the context.

The value stays 65536. Only the reasoning in the comment changes, from an
inference drawn off two /props readings to the documented behaviour.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 16:16:16 +02:00
claude-botandClaude Opus 5 7e74b93fb2 fix(llama-server): --ctx-size is the total, so ask for 65536
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#765 claimed --ctx-size was per slot and halved the slot count to pay for
doubling it. Both halves of that were wrong. With --parallel set,
llama.cpp divides --ctx-size across the slots, so 32768 over two slots
gave 16384 each -- exactly what was there before -- and the Assist
request fails with the same message it did then:

    request (18910 tokens) exceeds the available context size (16384)

The flag does behave differently without --parallel, which is where the
wrong reading came from: the four-slot server reported n_ctx_slot equal
to --ctx-size rather than a quarter of it. Adding --parallel changed
that, and the memory reading confirms it -- the pod fell from 24979 MiB
to 21601 MiB, so total KV halved rather than holding steady.

65536 across two slots is 32768 each, and puts total KV back where it was
before #765 along with the memory that came with it.

Verify rather than assume this time:

    kubectl -n ai exec deploy/llama-server -- curl -sS \
      http://127.0.0.1:8080/props | jq .default_generation_settings.n_ctx

must report 32768.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 16:13:35 +02:00
6 changed files with 133 additions and 44 deletions
@@ -1,19 +0,0 @@
---
# Arms the CrowdSec firewall bouncer on THIS host only.
#
# The role defaults to dry-run for the whole netbird_proxy group, so the two
# members can be armed one at a time. proxy-2 goes first deliberately: it is
# the dual-stack member, while proxy-1 is IPv6-only and the one where every
# network-shaped problem has surfaced first — the dhcpcd/resolv.conf breakage,
# and the GitHub download that could not work at all.
#
# What flipping this does: the bouncer stops logging what it would block and
# creates two nftables tables (ip crowdsec, ip6 crowdsec6) with the decisions
# it holds. It touches no existing chain and sets no chain policy.
#
# Rollback is `systemctl stop crowdsec-firewall-bouncer` — a clean stop deletes
# both tables itself. Setting this back to dry-run and re-running the play does
# the same through the handler.
#
# Remove this file once proxy-1 follows and the role default moves to nftables.
crowdsec_bouncer_mode: nftables
@@ -28,14 +28,23 @@ crowdsec_bouncer_sha256: f86e4b72693549d99f40a9402abefb894108f047a3fbe6e72fada25
crowdsec_bouncer_api_url: https://crowdsec.renner.uno/
crowdsec_bouncer_api_key: "{{ vault_crowdsec_edge_bouncer_key }}"
# STARTS INERT, and that is the point.
# Enforcing. The bouncer creates two nftables tables (ip crowdsec, ip6
# crowdsec6) holding the decisions it pulled, touches no existing chain and
# sets no chain policy — SSH and :443 stay open unless the source is banned.
#
# dry-run pulls decisions and logs what it would block without creating a
# single nftables rule. The first bouncer to arm anywhere enforces ~24k CAPI
# decisions at once on the only external entry path, so the false-positive
# window has to come before the enforcement, not after it. Flip to `nftables`
# one host at a time once the log looks right.
crowdsec_bouncer_mode: dry-run
# `dry-run` is the other value: it pulls and logs what it would block without
# creating a single rule. That is what a new host should be given before it
# enforces, and what an existing one can be dropped back to, per host through
# inventory/host_vars, without disarming the rest.
#
# Worth knowing before arming anything new: the first bouncer on a path
# enforces the whole CAPI set at once — around 15k addresses today — so the
# false-positive window belongs before the switch, not after it. And because
# this chain sits on the INPUT hook while these hosts run no other firewall,
# there is no conntrack rule accepting established flows ahead of it: a banned
# address is dropped even when it is answering our own outbound connection.
# That is why capi_whitelists.yaml carries the proxies and netbird.renner.uno.
crowdsec_bouncer_mode: nftables
crowdsec_bouncer_update_frequency: 10s
crowdsec_bouncer_log_level: info
@@ -95,7 +95,7 @@ spec:
memory: 32Mi
containers:
- name: home-assistant
image: ghcr.io/home-assistant/home-assistant:2026.8.3 # {"$imagepolicy": "flux-system:home-assistant"}
image: ghcr.io/home-assistant/home-assistant:2026.9.0 # {"$imagepolicy": "flux-system:home-assistant"}
env:
- name: TZ
value: Europe/Berlin
+34 -17
View File
@@ -75,27 +75,44 @@ spec:
# many small per-expert matmuls that sets the pace, not bandwidth.
- --threads
- "4"
# 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.
# 16k, and going above it corrupts inference rather than failing.
# At 32768 per slot this server answered a 650-token classification
# prompt with 1025 tokens of "!" — the KV cache producing numbers
# rather than language. It does not crash, it does not warn, and
# the OpenAI response looks well-formed, so the damage only shows
# in what callers get back: Paperless ran past its 300 s timeout,
# and Home Assistant got an empty completion and a hallucinated
# device list.
#
# --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.
# The same Vulkan/Mesa stack already fails hard at --ubatch-size
# 2048; this is the quiet version of that limit. Raise this only
# against a generation that is read, not against a server that
# merely starts.
#
# 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
- "32768"
- "16384"
# One slot, so the 16384 belongs to one request at a time.
#
# Left on auto, llama.cpp opens four slots and — because auto is
# also what enables --kv-unified — has them share a single buffer
# of this size. Four Paperless requests at once wanted 6209, 6472,
# 4303 and 1271 tokens against those 16384, and all four died with
# "Context size has been exceeded".
#
# They were concurrent because a client timeout does not stop the
# generation behind it: each abandoned request keeps consuming the
# shared budget the next one needs, so one slow document is enough
# to start the pile-up. Queueing is the behaviour worth having
# here — nothing calls this server in parallel on purpose, and
# Paperless's celery worker runs at concurrency 1.
#
# No liveness probe change goes with this. The server recovered on
# its own once the batch drained, so a probe that restarted the pod
# would have made the incident worse; with a single slot, one that
# asked for a real completion would also queue behind live work and
# kill healthy pods during a long document.
- --parallel
- "2"
- "1"
# A micro-batch of 2048 or more makes this Vulkan/Mesa stack fail
# with ErrorDeviceLost.
- --ubatch-size
@@ -24,6 +24,7 @@ resources:
- alloy-servicemonitor.yaml
- cnpg-podmonitors.yaml
- crowdsec-servicemonitor.yaml
- prometheusrule-crowdsec.yaml
- home-assistant-servicemonitor.yaml
- immich-servicemonitor.yaml
- loki-servicemonitor.yaml
@@ -0,0 +1,81 @@
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: crowdsec
namespace: monitoring
labels:
# kube-prometheus-stack's Prometheus selects on this label.
release: kube-prometheus-stack
spec:
groups:
- name: crowdsec.rules
rules:
- alert: CrowdsecNotReadingLogs
# The failure that hides. Everything stays green — pods Running,
# LAPI answering, bouncers pulling, decisions being enforced — while
# the agents read nothing and therefore detect nothing. The counters
# are cumulative, so `cscli metrics` keeps showing a large number and
# looks healthy; only the rate tells the truth.
#
# This alert was written after finding exactly that state: both
# agents frozen at their line counts for hours while Traefik kept
# logging, and zero events poured into any scenario. It had been that
# way since 2026-08-27, and the only outward sign was an absence of
# alerts, which reads like quiet rather than blindness.
#
# Known cause per the wiki: the tailer does not reattach after the
# container log rotates.
expr: |
sum(rate(cs_filesource_hits_total[30m])) == 0
for: 30m
labels:
severity: critical
annotations:
summary: "CrowdSec liest seit 30min keine Logzeilen"
description: >-
Die Agents lesen nichts mehr, obwohl Traefik weiter loggt — es
wird also nichts erkannt. Prüfen: `cscli metrics` im Agent-Pod,
und ob die getailte Datei unter /var/log/containers noch dem
laufenden Traefik-Pod entspricht. Ein Neustart der Agents nimmt
die aktuelle Datei wieder auf.
- alert: CrowdsecEdgeBouncerNotPulling
# Both proxies must be fetching decisions. A bouncer that stops
# pulling keeps enforcing whatever it last held, and a bouncer whose
# process died enforces nothing at all — a clean shutdown deletes its
# nftables tables. Neither shows up anywhere else.
#
# Counted rather than named on purpose. The LAPI registers a new
# bouncer entry per observed client address, and what it observes is
# the netbird-ingress pod IP, so names like `edge@10.244.0.113` come
# and go as those pods roll. The count is stable; the names are not.
#
# `or vector(0)` matters: without it, all bouncers going silent makes
# the inner filter empty, count() returns no series, and the alert
# never fires — the total-failure case would be the one it misses.
expr: |
(count(sum by (bouncer) (rate(cs_lapi_bouncer_requests_total[15m])) > 0) or vector(0)) < 2
for: 15m
labels:
severity: critical
annotations:
summary: "Weniger als zwei CrowdSec-Bouncer holen Decisions ab"
description: >-
Erwartet werden proxy-1 und proxy-2. Holt einer nichts mehr ab,
setzt er einen veralteten Stand durch; ist sein Dienst beendet,
setzt er gar nichts mehr durch, weil ein sauberer Stop die
nftables-Tabellen löscht. Prüfen: `systemctl status
crowdsec-firewall-bouncer` auf beiden Hosts.
- alert: CrowdsecTargetDown
expr: |
up{namespace="crowdsec"} == 0
for: 10m
labels:
severity: warning
annotations:
summary: "CrowdSec-Scrape-Target {{ $labels.pod }} antwortet nicht"
description: >-
Ein LAPI- oder Agent-Pod ist nicht erreichbar. Für sich noch kein
Ausfall der Durchsetzung — die Bouncer behalten ihren letzten
Stand —, aber solange das anhält, kommen keine neuen Decisions an.