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helexa/.gitea/workflows/deploy.yml
rob thijssen 6088830e7d
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feat(deploy): manage NEURON_MAX_PROMPT_TOKENS per host via model.conf drop-in
Roll the per-model context cap into deploy.yml so it is deterministic per
host and rolled out (with a restart) alongside the rest of the service
config, rather than hand-edited in local.conf. The deploy now writes
/etc/systemd/system/neuron.service.d/model.conf from a new per-host
`max_prompt_tokens` matrix field, and restarts a neuron when the package
OR the drop-in changes — so a cap change applies even with no new RPM.

beast (Qwen3.6-27B, hybrid linear, 2x 32GB) -> 131072 (~128k); benjy and
quadbrat (dense, VRAM-bound) stay at 16384 but become deploy-managed.

Adds the scoped sudoers grant for the root-owned drop-in install, and
doc/context-limits.md documenting the knob relationships and KV/VRAM math
(refs #62 for the eventual /models-advertised source of truth, #65 for
the length-aware text VRAM guard that gates pushing beyond 128k).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 18:48:19 +03:00

449 lines
19 KiB
YAML

name: deploy
# Roll the freshly-published unstable RPMs onto the helexa fleet:
# cortex on the gateway, helexa-neuron-<flavour> on each neuron host,
# and helexa-bench on bob (the bench host).
#
# Triggered automatically after `build-prerelease` succeeds (by which
# point the new RPMs are live on rpm.lair.cafe/unstable), and also
# re-runnable manually from the Gitea UI.
#
# Each host self-gates: if dnf sees no newer package than what is
# installed, the service is left alone — no stop, no restart, no model
# cold-load. Combined with build-prerelease's change detection this
# means a docs- or gateway-only push never restarts the neurons (a
# neuron restart costs ~5 min of 27B cold-load, see issue #1).
#
# Per-host one-time setup (gitea_ci user, authorized_keys, scoped
# sudoers drop-in) lives in script/infra-setup.sh — run that once per
# host before this workflow can succeed.
on:
workflow_run:
workflows: [build-prerelease]
types: [completed]
workflow_dispatch:
# Serialize deploys. Overlapping runs would race on dnf metadata
# refresh and service-restart timing; queueing keeps the fleet
# predictable. Don't cancel an in-flight deploy — a half-applied dnf
# transaction is worse than a slightly stale deploy.
concurrency:
group: deploy
cancel-in-progress: false
env:
DEPLOY_KEY: |
${{ secrets.RSYNC_SSH_KEY }}
jobs:
deploy-cortex:
runs-on: fedora-43
# Two trigger paths: manual dispatch always runs; workflow_run
# only runs if the upstream `build-prerelease` actually succeeded.
if: >-
${{
github.event_name == 'workflow_dispatch'
|| github.event.workflow_run.conclusion == 'success'
}}
steps:
- name: SSH init
run: |
mkdir -p ~/.ssh
echo "${DEPLOY_KEY}" > ~/.ssh/id_ed25519
chmod 600 ~/.ssh/id_ed25519
ssh -o ConnectTimeout=5 -o StrictHostKeyChecking=accept-new \
gitea_ci@hanzalova.internal 'hostname -f'
# Gating compares `rpm -q` against the packages.json manifest the
# publish job maintains — NOT unprivileged `dnf check-update`,
# which proved unreliable as the gitea_ci user (hung on metadata
# locks on one host, silently reported "no updates" on others).
# An unreadable/unparsable manifest fails open: deploy proceeds.
- name: Deploy cortex (skips when already current)
run: |
ssh gitea_ci@hanzalova.internal 'bash -s' <<'DEPLOY'
set -eu
pkg=cortex
installed=$(rpm -q --qf '%{VERSION}-%{RELEASE}' "${pkg}" 2>/dev/null || echo "not-installed")
latest=$(curl -fsS --max-time 15 "https://rpm.lair.cafe/fedora/43/x86_64/unstable/packages.json" 2>/dev/null \
| python3 -c '
import json, sys
name = sys.argv[1]
cands = [p for p in json.load(sys.stdin)["packages"] if p.get("name") == name]
if cands:
p = max(cands, key=lambda p: p.get("buildTime", 0))
print(p["version"] + "-" + p["release"])
' "${pkg}" 2>/dev/null || true)
if [ -n "${latest}" ] && [ "${latest}" = "${installed}" ]; then
echo "${pkg}-${installed} already current — leaving service untouched"
exit 0
fi
echo "installed=${installed} published=${latest:-unknown} — deploying"
if systemctl is-active --quiet cortex.service; then
sudo /usr/bin/systemctl stop cortex.service
fi
if rpm -q "${pkg}" >/dev/null 2>&1; then
sudo /usr/bin/dnf upgrade --refresh --allowerasing -y cortex
else
sudo /usr/bin/dnf install --refresh --allowerasing -y cortex
fi
sudo /usr/bin/systemctl daemon-reload
# enable --now: start the service AND enable it for boot so the
# fleet self-heals after a host reboot.
sudo /usr/bin/systemctl enable --now cortex.service
DEPLOY
# Wait for the service to either come up or wedge, then capture
# the latest-invocation journal. Runs even on prior failure so a
# failed start step still leaves a usable record in the deploy log.
- name: Capture cortex.service startup journal
if: always()
run: |
sleep 10
ssh gitea_ci@hanzalova.internal \
'journalctl --unit cortex.service -I --no-pager'
deploy-neurons:
needs: [deploy-cortex]
runs-on: fedora-43
strategy:
# One neuron failing must not cancel the others. Cortex is up
# already; a partial neuron deploy is strictly better than
# rolling back to zero.
fail-fast: false
matrix:
include:
# load_timeout: how long to wait for default_models to finish
# loading after a restart. beast cold-loads Qwen3.6-27B Q6K
# TP=2 (~5-6 min typical, see #1); benjy/quadbrat load small
# single-GPU models in well under a minute.
#
# max_prompt_tokens: per-model context cap, written to the
# neuron.service.d/model.conf drop-in (NEURON_MAX_PROMPT_TOKENS).
# A change here restarts the neuron even with no new RPM. Values
# are VRAM-safe ceilings derived per model — see
# doc/context-limits.md. beast (Qwen3.6-27B, hybrid linear, 2x
# 32GB) has ample KV headroom; benjy (Qwen3-8B dense, ~6GB free)
# is VRAM-bound and stays at the default; quadbrat (Qwen3-1.7B)
# likewise conservative.
- host: beast.hanzalova.internal
flavour: blackwell
load_timeout: 900
max_prompt_tokens: 131072
- host: benjy.hanzalova.internal
flavour: ada
load_timeout: 300
max_prompt_tokens: 16384
- host: quadbrat.hanzalova.internal
flavour: ampere
load_timeout: 300
max_prompt_tokens: 16384
steps:
- name: SSH init
run: |
mkdir -p ~/.ssh
echo "${DEPLOY_KEY}" > ~/.ssh/id_ed25519
chmod 600 ~/.ssh/id_ed25519
ssh -o ConnectTimeout=5 -o StrictHostKeyChecking=accept-new \
gitea_ci@${{ matrix.host }} 'hostname -f'
# See deploy-cortex for why gating uses the publish manifest and
# not unprivileged `dnf check-update`.
- name: Deploy helexa-neuron-${{ matrix.flavour }} (skips when already current)
run: |
ssh gitea_ci@${{ matrix.host }} 'bash -s' <<'DEPLOY'
set -eu
pkg=helexa-neuron-${{ matrix.flavour }}
max_prompt_tokens="${{ matrix.max_prompt_tokens }}"
# ── Desired per-model systemd drop-in ─────────────────────────
# model.conf carries NEURON_MAX_PROMPT_TOKENS so the context cap
# is deterministic per host and rolled out (with a restart) by
# this workflow, not hand-edited. It sorts after local.conf, so a
# deploy-managed value wins over any manual local override of the
# same variable. See doc/context-limits.md.
conf=/etc/systemd/system/neuron.service.d/model.conf
config_changed=0
if [ -n "${max_prompt_tokens}" ]; then
desired=$(printf '%s\n%s\n%s\n%s' \
"# Managed by .gitea/workflows/deploy.yml - do not edit by hand." \
"# Per-model context cap; see doc/context-limits.md." \
"[Service]" \
"Environment=NEURON_MAX_PROMPT_TOKENS=${max_prompt_tokens}")
[ "${desired}" = "$(cat "${conf}" 2>/dev/null || true)" ] || config_changed=1
fi
# ── Package version gate (manifest rationale: see deploy-cortex) ──
installed=$(rpm -q --qf '%{VERSION}-%{RELEASE}' "${pkg}" 2>/dev/null || echo "not-installed")
latest=$(curl -fsS --max-time 15 "https://rpm.lair.cafe/fedora/43/x86_64/unstable/packages.json" 2>/dev/null \
| python3 -c '
import json, sys
name = sys.argv[1]
cands = [p for p in json.load(sys.stdin)["packages"] if p.get("name") == name]
if cands:
p = max(cands, key=lambda p: p.get("buildTime", 0))
print(p["version"] + "-" + p["release"])
' "${pkg}" 2>/dev/null || true)
pkg_changed=1
if [ -n "${latest}" ] && [ "${latest}" = "${installed}" ]; then
pkg_changed=0
fi
# Skip only when BOTH the package and the drop-in are unchanged —
# a context-cap change must restart the neuron even with no new RPM.
if [ "${pkg_changed}" -eq 0 ] && [ "${config_changed}" -eq 0 ]; then
echo "${pkg}-${installed} current; NEURON_MAX_PROMPT_TOKENS=${max_prompt_tokens:-<unset>} unchanged — leaving service untouched"
exit 0
fi
echo "installed=${installed} published=${latest:-unknown} pkg_changed=${pkg_changed} config_changed=${config_changed} — deploying"
# Write the drop-in (staged in gitea_ci's dir, installed root-owned).
if [ "${config_changed}" -eq 1 ]; then
printf '%s\n' "${desired}" > /var/lib/gitea_ci/model.conf
sudo /usr/bin/install -o root -g root -m 0644 -D /var/lib/gitea_ci/model.conf "${conf}"
rm -f /var/lib/gitea_ci/model.conf
echo "applied ${conf}: NEURON_MAX_PROMPT_TOKENS=${max_prompt_tokens}"
fi
if systemctl is-active --quiet neuron.service; then
sudo /usr/bin/systemctl stop neuron.service
fi
if [ "${pkg_changed}" -eq 1 ]; then
if rpm -q "${pkg}" >/dev/null 2>&1; then
sudo /usr/bin/dnf upgrade --refresh --allowerasing -y "${pkg}"
else
sudo /usr/bin/dnf install --refresh --allowerasing -y "${pkg}"
fi
fi
# daemon-reload picks up both a new unit (dnf) and the drop-in.
sudo /usr/bin/systemctl daemon-reload
# enable --now: start the service AND enable it for boot so the
# fleet self-heals after a host reboot.
sudo /usr/bin/systemctl enable --now neuron.service
# ── Post-deploy validation ────────────────────────────────
# A deploy only goes green if the neuron (a) finishes loading
# its default models and (b) answers a trivial prompt like an
# LLM should. Catches the class of bug where the binary
# starts fine but model load or inference is broken — which
# previously surfaced only when a human noticed. The wait
# polls /health activation (the structured source of the
# "loaded default model" journal line, plus per-model failure
# detail); the journal-capture step below still runs for
# forensics either way.
load_timeout=${{ matrix.load_timeout }}
echo "waiting for default models (timeout ${load_timeout}s)"
deadline=$(( $(date +%s) + load_timeout ))
health=""
while :; do
health=$(curl -fsS --max-time 5 http://localhost:13131/health 2>/dev/null || true)
state=$(printf %s "${health}" | python3 -c '
import json, sys
try:
print(json.load(sys.stdin).get("activation", {}).get("state", ""))
except Exception:
print("")
')
if [ "${state}" = "ready" ]; then
break
fi
if [ "$(date +%s)" -ge "${deadline}" ]; then
echo "FAIL: activation not ready within ${load_timeout}s (last state: ${state:-unreachable})"
exit 1
fi
sleep 10
done
model=$(printf %s "${health}" | python3 -c '
import json, sys
a = json.load(sys.stdin).get("activation", {})
failed = a.get("failed", [])
if failed:
for f in failed:
msg = "FAILED " + str(f.get("model_id")) + ": " + str(f.get("error", ""))[:400]
sys.stderr.write(msg + chr(10))
sys.exit(1)
completed = a.get("completed", [])
print(completed[0] if completed else "")
')
if [ -z "${model}" ]; then
echo "no default models configured — skipping LLM probe"
exit 0
fi
echo "LLM probe against ${model}"
probe_body=$(printf '{"model":"%s","messages":[{"role":"user","content":"Reply with exactly one word: pineapple"}],"max_tokens":512,"temperature":0}' "${model}")
resp=$(curl -fsS --max-time 180 -H "content-type: application/json" \
-d "${probe_body}" http://localhost:13131/v1/chat/completions) || {
echo "FAIL: probe request errored"
exit 1
}
if printf %s "${resp}" | grep -qi pineapple; then
echo "LLM probe passed"
else
echo "FAIL: probe response missing expected token"
printf %s "${resp}" | head -c 2000
echo
exit 1
fi
DEPLOY
- name: Ensure firewalld allows helexa-neuron
run: |
ssh gitea_ci@${{ matrix.host }} '
if ! sudo /usr/bin/firewall-cmd --query-service=helexa-neuron --quiet 2>/dev/null; then
sudo /usr/bin/firewall-cmd --add-service=helexa-neuron --permanent
sudo /usr/bin/firewall-cmd --reload
fi'
# Wait for the service to either come up or wedge, then capture
# the latest-invocation journal. Runs even on prior failure so a
# failed start step still leaves a usable record in the deploy log.
- name: Capture neuron.service startup journal
if: always()
run: |
sleep 10
ssh gitea_ci@${{ matrix.host }} \
'journalctl --unit neuron.service -I --no-pager'
# helexa-bench is a separate package on a separate host (bob), and it
# only consumes the fleet's HTTP APIs — it has no deploy-ordering
# dependency on cortex or the neurons (the sweep loop is version-aware
# and picks up whatever each neuron reports whenever). So it runs
# alongside the cortex→neurons chain rather than after it.
deploy-bench:
runs-on: fedora-43
if: >-
${{
github.event_name == 'workflow_dispatch'
|| github.event.workflow_run.conclusion == 'success'
}}
steps:
- name: SSH init
run: |
mkdir -p ~/.ssh
echo "${DEPLOY_KEY}" > ~/.ssh/id_ed25519
chmod 600 ~/.ssh/id_ed25519
ssh -o ConnectTimeout=5 -o StrictHostKeyChecking=accept-new \
gitea_ci@bob.hanzalova.internal 'hostname -f'
# See deploy-cortex for why gating uses the publish manifest and
# not unprivileged `dnf check-update`.
- name: Deploy helexa-bench (skips when already current)
run: |
ssh gitea_ci@bob.hanzalova.internal 'bash -s' <<'DEPLOY'
set -eu
pkg=helexa-bench
installed=$(rpm -q --qf '%{VERSION}-%{RELEASE}' "${pkg}" 2>/dev/null || echo "not-installed")
latest=$(curl -fsS --max-time 15 "https://rpm.lair.cafe/fedora/43/x86_64/unstable/packages.json" 2>/dev/null \
| python3 -c '
import json, sys
name = sys.argv[1]
cands = [p for p in json.load(sys.stdin)["packages"] if p.get("name") == name]
if cands:
p = max(cands, key=lambda p: p.get("buildTime", 0))
print(p["version"] + "-" + p["release"])
' "${pkg}" 2>/dev/null || true)
if [ -n "${latest}" ] && [ "${latest}" = "${installed}" ]; then
echo "${pkg}-${installed} already current — leaving service untouched"
exit 0
fi
echo "installed=${installed} published=${latest:-unknown} — deploying"
if systemctl is-active --quiet helexa-bench.service; then
sudo /usr/bin/systemctl stop helexa-bench.service
fi
if rpm -q "${pkg}" >/dev/null 2>&1; then
sudo /usr/bin/dnf upgrade --refresh --allowerasing -y helexa-bench
else
sudo /usr/bin/dnf install --refresh --allowerasing -y helexa-bench
fi
sudo /usr/bin/systemctl daemon-reload
# enable --now: start the service AND enable it for boot so the
# bench resumes collecting after a host reboot.
sudo /usr/bin/systemctl enable --now helexa-bench.service
# ── Post-deploy validation ────────────────────────────────
# The bench serves a read-only API on :13132 alongside the
# outbound sweep loop. Probe the API over localhost (bypasses
# firewalld) — catches a crash-on-start or a bad bind. Bail
# early if the unit drops out of active (Restart backoff).
echo "waiting for bench API on :13132"
deadline=$(( $(date +%s) + 30 ))
while :; do
if curl -fsS --max-time 5 http://localhost:13132/api/health >/dev/null 2>&1; then
echo "bench API healthy"
break
fi
if ! systemctl is-active --quiet helexa-bench.service; then
echo "FAIL: helexa-bench.service is not active"
systemctl --no-pager status helexa-bench.service | head -20 || true
exit 1
fi
if [ "$(date +%s)" -ge "${deadline}" ]; then
echo "FAIL: bench API not healthy within 30s"
exit 1
fi
sleep 3
done
DEPLOY
- name: Ensure firewalld allows helexa-bench
run: |
ssh gitea_ci@bob.hanzalova.internal '
if ! sudo /usr/bin/firewall-cmd --query-service=helexa-bench --quiet 2>/dev/null; then
sudo /usr/bin/firewall-cmd --add-service=helexa-bench --permanent
sudo /usr/bin/firewall-cmd --reload
fi'
# Wait for the service to either come up or wedge, then capture
# the latest-invocation journal. Runs even on prior failure so a
# failed start step still leaves a usable record in the deploy log.
- name: Capture helexa-bench.service startup journal
if: always()
run: |
sleep 10
ssh gitea_ci@bob.hanzalova.internal \
'journalctl --unit helexa-bench.service -I --no-pager'
# Build the bench UI and publish it to the public nginx vhost on the
# gateway (https://bench.helexa.ai). The vhost + Let's Encrypt cert are
# one-time host setup (script/infra-setup.sh); this job just refreshes
# the static assets. nginx reverse-proxies /api to the bob API, so the
# SPA is built same-origin (no VITE_API_BASE). Independent of the other
# deploy jobs.
deploy-bench-ui:
runs-on: fedora-43
if: >-
${{
github.event_name == 'workflow_dispatch'
|| github.event.workflow_run.conclusion == 'success'
}}
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: "20"
- name: Build UI
run: |
cd bench
npm ci
npm run build
- name: SSH init
run: |
mkdir -p ~/.ssh
echo "${DEPLOY_KEY}" > ~/.ssh/id_ed25519
chmod 600 ~/.ssh/id_ed25519
ssh -o ConnectTimeout=5 -o StrictHostKeyChecking=accept-new \
gitea_ci@hanzalova.internal 'hostname -f'
- name: Rsync built UI to gateway webroot
run: |
rsync --archive --compress --delete \
--rsync-path 'sudo rsync' \
bench/dist/ \
gitea_ci@hanzalova.internal:/var/www/bench.helexa.ai/