Last missing core piece of KB phase 4: kb-query no longer hard-fails /search
when Ollama@SOLARIA is unreachable. app/fallback.py implements the plan's
circuit-breaker exactly (30s cached health probe, 3s hard embed timeout on
SOLARIA, one-shot same-request switch to a new local ollama-piha@PIHA
container on timeout/error). sol_status in /healthz and /search now reflects
the real breaker state instead of a hardcoded "up".
New services/ollama-piha (bge-m3, OLLAMA_KEEP_ALIVE=0, arm64/no-GPU) is the
local fallback leg. Live calibration on PIHA (2026-07-27, normal load):
embed latency 4.2-5.2s, RAM peak ~983MiB against a 2.5GiB ceiling -- both
inside the plan's go-bar, so the fallback is enabled by default rather than
gated behind a flag. Calibration also surfaced and disabled (not removed) a
previously-undocumented orphaned native ollama.service on PIHA that had been
conflicting with the container's port.
The embed-model invariant (query embedding == document_chunk.model) still
enforces once at startup, since both fallback legs share one EMBED_MODEL
constant by construction; a redundant per-request DB check was deliberately
skipped and the invariant is instead proven structurally by test.
retrieval_eval.py gains --transport http (plan §2 decision 6/§9), previously
unimplemented. Verified live: HTTP transport is bit-identical to direct
transport against the same live SOLARIA (0 mismatches), and a live sol-down
simulation (kb-query's own OLLAMA_URL pointed at a dead address, no other
Ollama consumer touched) shows the PIHA fallback answering with the same
hit@3 gate outcome and dist within ~3e-4 of the SOLARIA baseline.
Zero changes to DB schema or kb_retrieval's retrieval logic -- only the
embed + health layer, per task constraints.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Module 5 phase 4 step 1 (docs/kb/modules/05-faza4-plan.md, §4): first
user-facing HTTP entry point to the KB. FastAPI wrapping
kb_retrieval.cascade_query/flat_query — GET /search (query_text -> embed via
Ollama@SOLARIA -> cascade/flat -> envelope join -> JSON with per-source
links) and GET /healthz. Search API only, no answer synthesis (phase 5) and
no server-side dist filtering — the 0.45/0.55 colour thresholds are a
frontend concern (plan §7, a later step).
Hard startup invariant (plan §2 decision 2): refuses to start unless the
configured EMBED_MODEL is present in both document_chunk.model and
document_summary.embedding_model. Note the latter: document_summary.model is
the LLM that *wrote* the summary (claude-haiku-4-5/gemma3:12b), not the
embedder — checked live against kb-postgres@PIHA before writing this, see
app/startup.py's docstring. Verified end-to-end with a live docker run: the
invariant crash-loops on a mismatched EMBED_MODEL and passes through to a
real /search hit against the live corpus with a correct model.
Repo-only: no deploy, no npm/OIDC/DNS wiring (plan §8, later step), no local
embed fallback (plan §5, later step) — Ollama@SOLARIA is called directly and
a failure surfaces as 503, not a crash.
Also: scripts/deploy/deploy.sh's gate now builds each service via
`docker compose build` instead of a raw `docker build <svc_dir>`, so a
service whose docker-compose.yml declares a repo-root build context (needed
here to COPY packages/kb-retrieval/, the packages/ Dockerfile convention
already documented in CLAUDE.md) resolves the same way in the gate as it
does at real deploy time (deploy-node.sh's `docker compose ... up --build`).
No behavior change for existing single-context services — verified against
llm-gateway's compose file.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
documents-ingest-cyclic (jobs/documents-ingest/src/documents_ingest/cyclic_ingest.py):
orkiestruje paperless_adapter -> chunk_embed -> summarize(--backend anthropic,
claude-haiku-4-5) -> summarize(--embed-summaries) bez zmian w samych jobach. Ollama@SOLARIA
(availability_target: medium) jest tolerowana offline: probe GET /api/tags przed obu
etapami embed, brak -> pominięcie, nie fail (oba embed passy idempotentne, nadrobią się na
kolejnym ticku). Czwarty etap (embed-summaries) dopisany ponad plan §7.1 (który wymieniał
tylko 3 kroki) — bez niego nowe streszczenia miałyby embedding=NULL i byłyby niewidoczne dla
cascade_query (bramka kroku 4, WHERE embedding IS NOT NULL); potwierdzone z Oskarem.
Predykaty pass/fail każdego etapu 1:1 z exit-checkiem danego joba (chunks_errors,
llm_errors, stats-balance itd.) — etapy izolowane, nie fail-fast (wcześniejszy fail nie
blokuje kolejnych, tak jak joby izolują błędy per wiersz). Metryki .prom (atomowy zapis,
last_success_timestamp trzymany z poprzedniego pliku przy failu) do
/opt/homelab/state/node-exporter/kb-ingest.prom. 36 nowych testów (202/202 pakietu).
systemd (jobs/documents-ingest/systemd/): pierwszy systemd-timer w repo — kb-ingest.timer
(OnCalendar=*-*-* 03:30, Persistent=true, plan §7.1) + kb-ingest.service (host-level, User
oskar, EnvironmentFile /opt/homelab/kb/.env) + kb-ingest-run.sh (log per-run do
/opt/homelab/logs/kb-ingest/, konwencja repo). Instalacja i sekrety udokumentowane w
README (Faza 3 krok 5) — instalacja na PIHA dopiero po merge.
fleet-prometheus (rules/kb-ingest.yml): KbIngestStale (>172800s od last_success, critical)
+ KbEmbedBacklogGrowing (backlog>0 przez 72h, warning) — dostawa istniejącym torem
brain-watchdog->Telegram, bez Alertmanagera (konwencja liveness.yml).
node_exporter: owner_node vps -> per-host (service.yaml) + wpis + override
(--collector.textfile.directory, bez nowego mountu — czyta przez istniejący /:/host:ro) +
topology.yaml dla PIHA. Domyka pozycję z docs/backlog.md "stability-agent / node_exporter
owner_node single, biegaja wielomiejscowo -> per-host" (połowę — node_exporter; stability-agent
zostaje osobnym follow-upem) w ramach paczki B inwentaryzacji monitoringu dla PIHA.
Test end-to-end na żywo na PIHA (2× --apply, po potwierdzeniu z Oskarem): pierwszy run
złapał 5 dokumentów faktycznie nowych w Paperless (nieoczekiwane, niezwiązane z tym
taskiem) -> 82 nowe chunki (2 ocr_junk), 5 nowych streszczeń, 5 embeddingów streszczeń,
0 błędów, metryki zapisane. Drugi run: pełna idempotencja, wszystko 0. ANTHROPIC_API_KEY
dodany przez Oskara ręcznie do /opt/homelab/kb/.env (nigdy nie logowany/generowany).
Co dalej: prawdziwa instalacja systemd (services.yaml już przygotowany, po merge),
zdecydowanie czy stability-agent też idzie na per-host przy okazji.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Kod zyl tylko na dysku PIHA w /opt/llm-gateway (bez gita). Przeniesiony do
services/llm-gateway/ pod pelny wzorzec homelaba:
- app/main.py: kod 1:1 z PIHA + OLLAMA_URL/CHAT_MODEL/CODE_MODEL
nadpisywalne przez env (defaulty bez zmian)
- docker-compose.yml: bind TYLKO do Tailscale IP (${TAILSCALE_BIND_IP},
wzorzec fleet-prometheus), nie 0.0.0.0 jak w starym compose
- service.yaml, env.example (bez sekretow), healthcheck.sh, README, testy
- hosts/piha/runtime/llm-gateway: mem_limit 256m (PIHA jest RAM-bound)
- rejestracja w hosts/piha/services.yaml i inventory/topology.yaml
Zepsuty /opt/llm-gateway/docker-compose.yml (zduplikowany klucz ports)
celowo NIE przeniesiony.
DoD: pytest 4 passed; docker build + smoke run OK (GET / -> gateway ok).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Wraps the existing manually-run Vikunja instance on PIHA in the standard
service layout. No deploy — definition only, for review.
- services/vikunja/: docker-compose.yml (vikunja + postgres:16-alpine),
service.yaml, README, healthcheck, config.yml (OIDC, secret-free),
.env.example. Real .env stays gitignored.
- Pins EXISTING named volumes (vikunja_vikunja_db, vikunja_vikunja_files)
so DB + uploaded files survive cutover.
- extra_hosts forgejo.okit.pl=192.168.31.5 (npm on PIHA) so OIDC discovery
resolves over LAN instead of flaky public DNS.
- OIDC client secret injected via env (VIKUNJA_AUTH_OPENID_PROVIDERS_
FORGEJO_CLIENTSECRET); config.yml keeps trailing-slash authurl/redirecturl.
- Registers vikunja in hosts/piha/services.yaml + inventory/topology.yaml,
plus hosts/piha/runtime/vikunja override (advisory mem_limits).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Polls /summary on VPS over Tailscale every 60s; computes freshness
locally from last_update epoch (never trusts self-reported status).
Alerts via Telegram Bot API directly after 3 consecutive failures;
sends recovery message on heal. State (fail_count, alerted) persisted
to volume so debounce survives restarts.
- services/brain-watchdog/: Python service, no external deps (stdlib only)
- hosts/piha/runtime/brain-watchdog/: override with mem_limit 64m
- hosts/piha/services.yaml + inventory/topology.yaml: manifest entries
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- new per-host service, follows node-agent pattern
- 7 new HA event types defined (routing in supervisor — Phase 5)
- HeartbeatCheck as pipeline validator (pings /api/, emits ha_websocket_dead)
- service.yaml + host configs for piha (ken) and chelsty-infra (chelsty)
- test scaffolding with aiohttp/aiosqlite mocks (15/15 passing)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Oskar Kapala