---
okf: "0.1"
type: runbook
visibility: private
status: active
updated: 2026-07-30
links:
  - ../services/ollama-piha.md
---

# ollama-piha — deploy i kalibracja

## Deploy (PIHA, master, after merge)

```bash
cd ~/homelab-codex-ws && git pull
cp services/ollama-piha/env.example services/ollama-piha/.env   # LAN_BIND_IP
docker compose -f services/ollama-piha/docker-compose.yml \
  -f hosts/piha/runtime/ollama-piha/docker-compose.override.yml \
  --env-file services/ollama-piha/.env up -d
```

**Then pull the model — this does NOT happen automatically:**

```bash
docker exec ollama-piha ollama pull bge-m3
```

Verify:

```bash
services/ollama-piha/healthcheck.sh          # checks container + API + bge-m3 present
time curl -s http://127.0.0.1:11434/api/embeddings \
  -d '{"model":"bge-m3","prompt":"test kalibracyjny"}' | head -c 80
```

(`deploy-node.sh` on PIHA also picks this service up from
`hosts/piha/services.yaml` once `.env` exists — the `ollama pull bge-m3` step
stays manual either way.)

## Calibration (plan §5 step 4 — gate, not formality)

Before trusting the fallback under load, on live PIHA at a normal (not
night-quiet) hour: run a few embeds as above while watching
`docker stats ollama-piha`, note peak RAM and wall time. Verdict per plan §5
step 5: keep as default fallback / tune `mem_limit` / fall back to explicit
503 degradation.

**Calibration status: measured 2026-07-27 — verdict GO** (live PIHA under
normal load, 3 consecutive `/api/embeddings` calls after `ollama pull bge-m3`;
full protocol in `docs/sessions/2026-07-27-kb-f4-fallback.md` §4):

- Latency: 5.25 s (cold start) / 4.41 s / 4.16 s — single seconds as expected,
  no warm-up between calls by design (`OLLAMA_KEEP_ALIVE=0` releases the model
  after every request, `ollama ps` shows nothing resident in between).
- RAM: idle ~66 MiB, burst peak ~983 MiB (`docker stats` sampled at 0.3 s) —
  well inside the 2560m ceiling; host `available` never dropped below ~1.3 GiB.
- Kept as **default fallback** (no feature flag). The measurement was taken
  against the same container configuration this repo deploys (image,
  `OLLAMA_KEEP_ALIVE=0`, `mem_limit: 2560m`), so it carries over; only the
  model storage differed (bind mount then, named volume now), which does not
  affect RAM/latency.